Epistasis genetic. Medical search

A form of gene interaction whereby the expression of one gene interferes with or masks the expression of a different gene or genes. Genes whose expression interferes with or masks the effects of other genes are said to be epistatic to the effected genes. Genes whose expression is affected (blocked or masked) are hypostatic to the interfering genes.

Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.

A phenomenon in which multiple and diverse phenotypic outcomes are influenced by a single gene (or single gene product.)

Genetic loci associated with a QUANTITATIVE TRAIT.

The capability of an organism to survive and reproduce. The phenotypic expression of the genotype in a particular environment determines how genetically fit an organism will be.

Deliberate breeding of two different individuals that results in offspring that carry part of the genetic material of each parent. The parent organisms must be genetically compatible and may be from different varieties or closely related species.

A statistical tool for detecting and modeling gene-gene interactions. It is a non-parametric and model-free approach.

The outward appearance of the individual. It is the product of interactions between genes, and between the GENOTYPE and the environment.

Any detectable and heritable change in the genetic material that causes a change in the GENOTYPE and which is transmitted to daughter cells and to succeeding generations.

The totality of characteristics of reproductive structure, functions, PHENOTYPE, and GENOTYPE, differentiating the MALE from the FEMALE organism.

The genetic constitution of the individual, comprising the ALLELES present at each GENETIC LOCUS.

Differential and non-random reproduction of different genotypes, operating to alter the gene frequencies within a population.

A characteristic showing quantitative inheritance such as SKIN PIGMENTATION in humans. (From A Dictionary of Genetics, 4th ed)

Any method used for determining the location of and relative distances between genes on a chromosome.

The adaptive superiority of the heterozygous GENOTYPE with respect to one or more characters in comparison with the corresponding HOMOZYGOTE.

The chromosomal constitution of cells, in which each type of CHROMOSOME is represented once. Symbol: N.

Variant forms of the same gene, occupying the same locus on homologous CHROMOSOMES, and governing the variants in production of the same gene product.

The process of cumulative change at the level of DNA; RNA; and PROTEINS, over successive generations.

The discipline studying genetic composition of populations and effects of factors such as GENETIC SELECTION, population size, MUTATION, migration, and GENETIC DRIFT on the frequencies of various GENOTYPES and PHENOTYPES using a variety of GENETIC TECHNIQUES.

The process of cumulative change over successive generations through which organisms acquire their distinguishing morphological and physiological characteristics.

A single nucleotide variation in a genetic sequence that occurs at appreciable frequency in the population.

Genotypic differences observed among individuals in a population.

Nonrandom association of linked genes. This is the tendency of the alleles of two separate but already linked loci to be found together more frequently than would be expected by chance alone.

Reproduction without fusion of two types of cells, mostly found in ALGAE; FUNGI; and PLANTS. Asexual reproduction occurs in several ways, such as budding, fission, or splitting from "parent" cells. Only few groups of ANIMALS reproduce asexually or unisexually (PARTHENOGENESIS).

Production of new arrangements of DNA by various mechanisms such as assortment and segregation, CROSSING OVER; GENE CONVERSION; GENETIC TRANSFORMATION; GENETIC CONJUGATION; GENETIC TRANSDUCTION; or mixed infection of viruses.

Computer-based representation of physical systems and phenomena such as chemical processes.

A species of the genus SACCHAROMYCES, family Saccharomycetaceae, order Saccharomycetales, known as "baker's" or "brewer's" yeast. The dried form is used as a dietary supplement.

The co-inheritance of two or more non-allelic GENES due to their being located more or less closely on the same CHROMOSOME.

A DNA-binding protein that mediates DNA REPAIR of double strand breaks, and HOMOLOGOUS RECOMBINATION.

An analysis comparing the allele frequencies of all available (or a whole GENOME representative set of) polymorphic markers in unrelated patients with a specific symptom or disease condition, and those of healthy controls to identify markers associated with a specific disease or condition.

The mating of plants or non-human animals which are closely related genetically.

The different ways GENES and their ALLELES interact during the transmission of genetic traits that effect the outcome of GENE EXPRESSION.

Proteins obtained from the species SACCHAROMYCES CEREVISIAE. The function of specific proteins from this organism are the subject of intense scientific interest and have been used to derive basic understanding of the functioning similar proteins in higher eukaryotes.

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

A phenotypically recognizable genetic trait which can be used to identify a genetic locus, a linkage group, or a recombination event.

The relative amount by which the average fitness of a POPULATION is lowered, due to the presence of GENES that decrease survival, compared to the GENOTYPE with maximum or optimal fitness. (From Rieger et al., Glossary of Genetics: Classical and Molecular, 5th ed)

A genus of small, two-winged flies containing approximately 900 described species. These organisms are the most extensively studied of all genera from the standpoint of genetics and cytology.

The genetic process of crossbreeding between genetically dissimilar parents to produce a hybrid.

A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.

A definite pathologic process with a characteristic set of signs and symptoms. It may affect the whole body or any of its parts, and its etiology, pathology, and prognosis may be known or unknown.

A species of nematode that is widely used in biological, biochemical, and genetic studies.

A latent susceptibility to disease at the genetic level, which may be activated under certain conditions.

A plant species of the genus DATURA, family SOLANACEAE, that contains TROPANES and other SOLANACEOUS ALKALOIDS.

Any of the processes by which nuclear, cytoplasmic, or intercellular factors influence the differential control of gene action in fungi.

Genes that influence the PHENOTYPE both in the homozygous and the heterozygous state.

Interacting DNA-encoded regulatory subsystems in the GENOME that coordinate input from activator and repressor TRANSCRIPTION FACTORS during development, cell differentiation, or in response to environmental cues. The networks function to ultimately specify expression of particular sets of GENES for specific conditions, times, or locations.

Proteins from the nematode species CAENORHABDITIS ELEGANS. The proteins from this species are the subject of scientific interest in the area of multicellular organism MORPHOGENESIS.

Sequential operating programs and data which instruct the functioning of a digital computer.

The proportion of one particular in the total of all ALLELES for one genetic locus in a breeding POPULATION.

Proteins that originate from insect species belonging to the genus DROSOPHILA. The proteins from the most intensely studied species of Drosophila, DROSOPHILA MELANOGASTER, are the subject of much interest in the area of MORPHOGENESIS and development.

The external genitalia of the female. It includes the CLITORIS, the labia, the vestibule, and its glands.

Proteins found in any species of fungus.

The reconstruction of a continuous two-stranded DNA molecule without mismatch from a molecule which contained damaged regions. The major repair mechanisms are excision repair, in which defective regions in one strand are excised and resynthesized using the complementary base pairing information in the intact strand; photoreactivation repair, in which the lethal and mutagenic effects of ultraviolet light are eliminated; and post-replication repair, in which the primary lesions are not repaired, but the gaps in one daughter duplex are filled in by incorporation of portions of the other (undamaged) daughter duplex. Excision repair and post-replication repair are sometimes referred to as "dark repair" because they do not require light.

A phenotypic outcome (physical characteristic or disease predisposition) that is determined by more than one gene. Polygenic refers to those determined by many genes, while oligogenic refers to those determined by a few genes.

The external elements and conditions which surround, influence, and affect the life and development of an organism or population.

Regulation of body length and male tail ray pattern formation of Caenorhabditis elegans by a member of TGF-beta family. (1/2239)

We have identified a new member of the TGF-beta superfamily, CET-1, from Caenorhabditis elegans, which is expressed in the ventral nerve cord and other neurons. cet-1 null mutants have shortened bodies and male tail abnormal phenotype resembling sma mutants, suggesting cet-1, sma-2, sma-3 and sma-4 share a common pathway. Overexpression experiments demonstrated that cet-1 function requires wild-type sma genes. Interestingly, CET-1 appears to affect body length in a dose-dependent manner. Heterozygotes for cet-1 displayed body lengths ranging between null mutant and wild type, and overexpression of CET-1 in wild-type worms elongated body length close to lon mutants. In male sensory ray patterning, lack of cet-1 function results in ray fusions. Epistasis analysis revealed that mab-21 lies downstream and is negatively regulated by the cet-1/sma pathway in the male tail. Our results show that cet-1 controls diverse biological processes during C. elegans development probably through different target genes. (+info)

Evolution by small steps and rugged landscapes in the RNA virus phi6. (2/2239)

Fisher's geometric model of adaptive evolution argues that adaptive evolution should generally result from the substitution of many mutations of small effect because advantageous mutations of small effect should be more common than those of large effect. However, evidence for both evolution by small steps and for Fisher's model has been mixed. Here we report supporting results from a new experimental test of the model. We subjected the bacteriophage phi6 to intensified genetic drift in small populations and caused viral fitness to decline through the accumulation of a deleterious mutation. We then propagated the mutated virus at a range of larger population sizes and allowed fitness to recover by natural selection. Although fitness declined in one large step, it was usually recovered in smaller steps. More importantly, step size during recovery was smaller with decreasing size of the recovery population. These results confirm Fisher's main prediction that advantageous mutations of small effect should be more common. We also show that the advantageous mutations of small effect are compensatory mutations whose advantage is conditional (epistatic) on the presence of the deleterious mutation, in which case the adaptive landscape of phi6 is likely to be very rugged. (+info)

twin of eyeless, a second Pax-6 gene of Drosophila, acts upstream of eyeless in the control of eye development. (3/2239)

The Drosophila Pax-6 gene eyeless (ey) plays a key role in eye development. Here we show tht Drosophila contains a second Pax-6 gene, twin of eyeless (toy), due to a duplication during insect evolution. Toy is more similar to vertebrate Pax-6 proteins than Ey with regard to overall sequence conservation, DNA-binding function, and early expression in the embryo, toy and ey share a similar expression pattern in the developing visual system, and targeted expression of Toy, like Ey, induces the formation of ectopic eyes. Genetic and biochemical evidence indicates, however, that Toy functions upstream of ey by directly regulating the eye-specific enhancer of ey. Toy is therefore required for initiation of ey expression in the embryo and acts through Ey to activate the eye developmental program. (+info)

Effects of mutations in DNA repair genes on formation of ribosomal DNA circles and life span in Saccharomyces cerevisiae. (4/2239)

A cause of aging in Saccharomyces cerevisiae is the accumulation of extrachromosomal ribosomal DNA circles (ERCs). Introduction of an ERC into young mother cells shortens life span and accelerates the onset of age-associated sterility. It is important to understand the process by which ERCs are generated. Here, we demonstrate that homologous recombination is necessary for ERC formation. rad52 mutant cells, defective in DNA repair through homologous recombination, do not accumulate ERCs with age, and mutations in other genes of the RAD52 class have varying effects on ERC formation. rad52 mutation leads to a progressive delocalization of Sir3p from telomeres to other nuclear sites with age and, surprisingly, shortens life span. We speculate that spontaneous DNA damage, perhaps double-strand breaks, causes lethality in mutants of the RAD52 class and may be an initial step of aging in wild-type cells. (+info)

Coordination of the initiation of recombination and the reductional division in meiosis in Saccharomyces cerevisiae. (5/2239)

Early exchange (EE) genes are required for the initiation of meiotic recombination in Saccharomyces cerevisiae. Cells with mutations in several EE genes undergo an earlier reductional division (MI), which suggests that the initiation of meiotic recombination is involved in determining proper timing of the division. The different effects of null mutations on the timing of reductional division allow EE genes to be assorted into three classes: mutations in RAD50 or REC102 that confer a very early reductional division; mutations in REC104 or REC114 that confer a division earlier than that of wild-type (WT) cells, but later than that of mutants of the first class; and mutations in MEI4 that do not significantly alter the timing of MI. The very early mutations are epistatic to mutations in the other two classes. We propose a model that accounts for the epistatic relationships and the communication between recombination initiation and the first division. Data in this article indicate that double-strand breaks (DSBs) are not the signal for the normal delay of reductional division; these experiments also confirm that MEI4 is required for the formation of meiotic DSBs. Finally, if a DSB is provided by the HO endonuclease, recombination can occur in the absence of MEI4 and REC104. (+info)

RAD50 and RAD51 define two pathways that collaborate to maintain telomeres in the absence of telomerase. (6/2239)

Telomere length is maintained by the de novo addition of telomere repeats by telomerase, yet recombination can elongate telomeres in the absence of telomerase. When the yeast telomerase RNA component, TLC1, is deleted, telomeres shorten and most cells die. However, gene conversion mediated by the RAD52 pathway allows telomere lengthening in rare survivor cells. To further investigate the role of recombination in telomere maintenance, we assayed telomere length and the ability to generate survivors in several isogenic DNA recombination mutants, including rad50, rad51, rad52, rad54, rad57, xrs2, and mre11. The rad51, rad52, rad54, and rad57 mutations increased the rate of cell death in the absence of TLC1. In contrast, although the rad50, xrs2, and mre11 strains initially had short telomeres, double mutants with tlc1 did not affect the rate of cell death, and survivors were generated at later times than tlc1 alone. While none of the double mutants of recombination genes and tlc1 (except rad52 tlc1) blocked the ability to generate survivors, a rad50 rad51 tlc1 triple mutant did not allow the generation of survivors. Thus RAD50 and RAD51 define two separate pathways that collaborate to allow cells to survive in the absence of telomerase. (+info)

A Bub2p-dependent spindle checkpoint pathway regulates the Dbf2p kinase in budding yeast. (7/2239)

Exit from mitosis in all eukaroytes requires inactivation of the mitotic kinase. This occurs principally by ubiquitin-mediated proteolysis of the cyclin subunit controlled by the anaphase-promoting complex (APC). However, an abnormal spindle and/or unattached kinetochores activates a conserved spindle checkpoint that blocks APC function. This leads to high mitotic kinase activity and prevents mitotic exit. DBF2 belongs to a group of budding yeast cell cycle genes that when mutated prevent cyclin degradation and block exit from mitosis. DBF2 encodes a protein kinase which is cell cycle regulated, peaking in metaphase-anaphase B/telophase, but its function remains unknown. Here, we show the Dbf2p kinase activity to be a target of the spindle checkpoint. It is controlled specifically by Bub2p, one of the checkpoint components that is conserved in fission yeast and higher eukaroytic cells. Significantly, in budding yeast, Bub2p shows few genetic or biochemical interactions with other members of the spindle checkpoint. Our data now point to the protein kinase Mps1p triggering a new parallel branch of the spindle checkpoint in which Bub2p blocks Dbf2p function. (+info)

Bacteriophage T4 rnh (RNase H) null mutations: effects on spontaneous mutation and epistatic interaction with rII mutations. (8/2239)

The bacteriophage T4 rnh gene encodes T4 RNase H, a relative of a family of flap endonucleases. T4 rnh null mutations reduce burst sizes, increase sensitivity to DNA damage, and increase the frequency of acriflavin resistance (Acr) mutations. Because mutations in the related Saccharomyces cerevisiae RAD27 gene display a remarkable duplication mutator phenotype, we further explored the impact of rnh mutations upon the mutation process. We observed that most Acr mutants in an rnh+ strain contain ac mutations, whereas only roughly half of the Acr mutants detected in an rnhDelta strain bear ac mutations. In contrast to the mutational specificity displayed by most mutators, the DNA alterations of ac mutations arising in rnhDelta and rnh+ backgrounds are indistinguishable. Thus, the increase in Acr mutants in an rnhDelta background is probably not due to a mutator effect. This conclusion is supported by the lack of increase in the frequency of rI mutations in an rnhDelta background. In a screen that detects mutations at both the rI locus and the much larger rII locus, the r frequency was severalfold lower in an rnhDelta background. This decrease was due to the phenotype of rnh rII double mutants, which display an r+ plaque morphology but retain the characteristic inability of rII mutants to grow on lambda lysogens. Finally, we summarize those aspects of T4 forward-mutation systems which are relevant to optimal choices for investigating quantitative and qualitative aspects of the mutation process. (+info)

Epistasis is a phenomenon in genetics where the effect of one gene (the "epistatic" gene) is modified by one or more other genes (the "modifier" genes). This interaction can result in different phenotypic expressions than what would be expected based on the individual effects of each gene.

In other words, epistasis occurs when the expression of one gene is influenced by the presence or absence of another gene. The gene that is being masked or modified is referred to as the hypostatic gene, while the gene doing the masking or modifying is called the epistatic gene.

Epistasis can take many forms and can be involved in complex genetic traits and diseases. It can also make it more difficult to map genes associated with certain traits or conditions because the phenotypic expression may not follow simple Mendelian inheritance patterns.

There are several types of epistasis, including recessive-recessive, dominant-recessive, and dominant-dominant epistasis. In recessive-recessive epistasis, for example, the presence of two copies of the epistatic gene prevents the expression of the hypostatic gene, even if the individual has two copies of the hypostatic gene.

Understanding epistasis is important in genetics because it can help researchers better understand the genetic basis of complex traits and diseases, as well as improve breeding programs for plants and animals.

Genetic models are theoretical frameworks used in genetics to describe and explain the inheritance patterns and genetic architecture of traits, diseases, or phenomena. These models are based on mathematical equations and statistical methods that incorporate information about gene frequencies, modes of inheritance, and the effects of environmental factors. They can be used to predict the probability of certain genetic outcomes, to understand the genetic basis of complex traits, and to inform medical management and treatment decisions.

There are several types of genetic models, including:

1. Mendelian models: These models describe the inheritance patterns of simple genetic traits that follow Mendel's laws of segregation and independent assortment. Examples include autosomal dominant, autosomal recessive, and X-linked inheritance.
2. Complex trait models: These models describe the inheritance patterns of complex traits that are influenced by multiple genes and environmental factors. Examples include heart disease, diabetes, and cancer.
3. Population genetics models: These models describe the distribution and frequency of genetic variants within populations over time. They can be used to study evolutionary processes, such as natural selection and genetic drift.
4. Quantitative genetics models: These models describe the relationship between genetic variation and phenotypic variation in continuous traits, such as height or IQ. They can be used to estimate heritability and to identify quantitative trait loci (QTLs) that contribute to trait variation.
5. Statistical genetics models: These models use statistical methods to analyze genetic data and infer the presence of genetic associations or linkage. They can be used to identify genetic risk factors for diseases or traits.

Overall, genetic models are essential tools in genetics research and medical genetics, as they allow researchers to make predictions about genetic outcomes, test hypotheses about the genetic basis of traits and diseases, and develop strategies for prevention, diagnosis, and treatment.

Genetic pleiotropy is a phenomenon in genetics where a single gene or genetic variant has multiple effects on different phenotypic traits. This means that the gene influences more than one trait, and changes in the gene can result in variations in multiple traits. The term "pleiotropy" comes from the Greek words "pleion," meaning "more," and "trope," meaning "turning."

An example of genetic pleiotropy is the gene that causes sickle cell anemia, a severe form of hemolytic anemia. This same gene also provides resistance to malaria in heterozygotes (individuals who inherit one normal and one mutated copy of the gene). Therefore, the single gene has multiple effects on different traits: red blood cell shape and susceptibility to malaria.

Understanding genetic pleiotropy is essential for understanding how complex traits are inherited and how genes contribute to various diseases and conditions. It also highlights that modifying or treating one trait may have unintended consequences on other traits influenced by the same gene.

Quantitative Trait Loci (QTL) are regions of the genome that are associated with variation in quantitative traits, which are traits that vary continuously in a population and are influenced by multiple genes and environmental factors. QTLs can help to explain how genetic variations contribute to differences in complex traits such as height, blood pressure, or disease susceptibility.

Quantitative trait loci are identified through statistical analysis of genetic markers and trait values in experimental crosses between genetically distinct individuals, such as strains of mice or plants. The location of a QTL is inferred based on the pattern of linkage disequilibrium between genetic markers and the trait of interest. Once a QTL has been identified, further analysis can be conducted to identify the specific gene or genes responsible for the variation in the trait.

It's important to note that QTLs are not themselves genes, but rather genomic regions that contain one or more genes that contribute to the variation in a quantitative trait. Additionally, because QTLs are identified through statistical analysis, they represent probabilistic estimates of the location of genetic factors influencing a trait and may encompass large genomic regions containing multiple genes. Therefore, additional research is often required to fine-map and identify the specific genes responsible for the variation in the trait.

Genetic fitness is a term used in the field of genetics and evolutionary biology to describe the ability of an individual organism to survive and reproduce, passing its genes on to the next generation. An organism that is highly genetically fit has a greater likelihood of producing offspring that will also survive and reproduce, thereby ensuring the survival of its genetic traits in the population.

In the context of human genetics, genetic fitness may refer to the ability of an individual to pass on their genes to future generations due to certain genetic traits or characteristics that enhance their chances of survival and reproduction. However, it is important to note that the concept of "fitness" in this context does not necessarily imply superiority or inferiority, but rather a measure of reproductive success.

It's also worth noting that genetic fitness can be influenced by various factors such as environmental conditions, cultural practices, and social structures, which can all interact with an individual's genetic traits to affect their overall fitness.

"Genetic crosses" refer to the breeding of individuals with different genetic characteristics to produce offspring with specific combinations of traits. This process is commonly used in genetics research to study the inheritance patterns and function of specific genes.

There are several types of genetic crosses, including:

1. Monohybrid cross: A cross between two individuals that differ in the expression of a single gene or trait.
2. Dihybrid cross: A cross between two individuals that differ in the expression of two genes or traits.
3. Backcross: A cross between an individual from a hybrid population and one of its parental lines.
4. Testcross: A cross between an individual with unknown genotype and a homozygous recessive individual.
5. Reciprocal cross: A cross in which the male and female parents are reversed to determine if there is any effect of sex on the expression of the trait.

These genetic crosses help researchers to understand the mode of inheritance, linkage, recombination, and other genetic phenomena.

I'm sorry for any confusion, but "Multifactor Dimensionality Reduction" is actually a statistical method used in the field of genetics and bioinformatics, rather than a medical term. Here's a definition:

Multifactor Dimensionality Reduction (MDR) is a data mining technique used to detect interactions among multiple factors that contribute to a complex trait or disease susceptibility. It is particularly useful in the field of genetics where researchers are trying to understand how combinations of genetic variants, environmental factors, or both (genetic x environmental interactions) contribute to diseases or traits.

MDR reduces the dimensionality of the data by pooling multi-locus genotypes into categories called "groups" or "classes." These groups are then evaluated for their ability to predict the disease status. The advantage of MDR is that it can detect interactions even when main effects are weak or absent, and it does not require a priori knowledge about which factors might be interacting.

Please note that while I strive to provide accurate information, my responses should not be used as a substitute for professional medical advice or treatment.

A phenotype is the physical or biochemical expression of an organism's genes, or the observable traits and characteristics resulting from the interaction of its genetic constitution (genotype) with environmental factors. These characteristics can include appearance, development, behavior, and resistance to disease, among others. Phenotypes can vary widely, even among individuals with identical genotypes, due to differences in environmental influences, gene expression, and genetic interactions.

A mutation is a permanent change in the DNA sequence of an organism's genome. Mutations can occur spontaneously or be caused by environmental factors such as exposure to radiation, chemicals, or viruses. They may have various effects on the organism, ranging from benign to harmful, depending on where they occur and whether they alter the function of essential proteins. In some cases, mutations can increase an individual's susceptibility to certain diseases or disorders, while in others, they may confer a survival advantage. Mutations are the driving force behind evolution, as they introduce new genetic variability into populations, which can then be acted upon by natural selection.

In medical terms, "sex" refers to the biological characteristics that define males and females. These characteristics include chromosomes, hormone levels, reproductive/sexual anatomy, and secondary sexual traits. Generally, people are categorized as male or female based on their anatomical and genetic features, but there are also intersex individuals who may have physical or genetic features that do not fit typical binary notions of male or female bodies. It is important to note that while sex is a biological concept, gender is a social construct that refers to the roles, behaviors, activities, and expectations that a society considers appropriate for men and women.

Genotype, in genetics, refers to the complete heritable genetic makeup of an individual organism, including all of its genes. It is the set of instructions contained in an organism's DNA for the development and function of that organism. The genotype is the basis for an individual's inherited traits, and it can be contrasted with an individual's phenotype, which refers to the observable physical or biochemical characteristics of an organism that result from the expression of its genes in combination with environmental influences.

It is important to note that an individual's genotype is not necessarily identical to their genetic sequence. Some genes have multiple forms called alleles, and an individual may inherit different alleles for a given gene from each parent. The combination of alleles that an individual inherits for a particular gene is known as their genotype for that gene.

Understanding an individual's genotype can provide important information about their susceptibility to certain diseases, their response to drugs and other treatments, and their risk of passing on inherited genetic disorders to their offspring.

Genetic selection, also known as natural selection, is a fundamental mechanism of evolution. It refers to the process by which certain heritable traits become more or less common in a population over successive generations due to differential reproduction of organisms with those traits.

In genetic selection, traits that increase an individual's fitness (its ability to survive and reproduce) are more likely to be passed on to the next generation, while traits that decrease fitness are less likely to be passed on. This results in a gradual change in the distribution of traits within a population over time, leading to adaptation to the environment and potentially speciation.

Genetic selection can occur through various mechanisms, including viability selection (differential survival), fecundity selection (differences in reproductive success), and sexual selection (choices made by individuals during mating). The process of genetic selection is driven by environmental pressures, such as predation, competition for resources, and changes in the availability of food or habitat.

A quantitative trait is a phenotypic characteristic that can be measured and displays continuous variation, meaning it can take on any value within a range. Examples include height, blood pressure, or biochemical measurements like cholesterol levels. These traits are usually influenced by the combined effects of multiple genes (polygenic inheritance) as well as environmental factors.

Heritability, in the context of genetics, refers to the proportion of variation in a trait that can be attributed to genetic differences among individuals in a population. It is estimated using statistical methods and ranges from 0 to 1, with higher values indicating a greater contribution of genetics to the observed phenotypic variance.

Therefore, a heritable quantitative trait would be a phenotype that shows continuous variation, influenced by multiple genes and environmental factors, and for which a significant portion of the observed variation can be attributed to genetic differences among individuals in a population.

Chromosome mapping, also known as physical mapping, is the process of determining the location and order of specific genes or genetic markers on a chromosome. This is typically done by using various laboratory techniques to identify landmarks along the chromosome, such as restriction enzyme cutting sites or patterns of DNA sequence repeats. The resulting map provides important information about the organization and structure of the genome, and can be used for a variety of purposes, including identifying the location of genes associated with genetic diseases, studying evolutionary relationships between organisms, and developing genetic markers for use in breeding or forensic applications.

Hybrid vigor, also known as heterosis or heterozygote advantage, is a phenomenon in genetics where the offspring of genetically diverse parents exhibit certain favorable traits that are not present in either parent. This results in increased growth, fertility, disease resistance, and overall hardiness in the offspring compared to the purebred parents.

In medical terms, hybrid vigor is often discussed in the context of breeding programs for livestock or plants used for agricultural purposes. By crossing two distinct lines or breeds with different genetic backgrounds, breeders can create offspring that have improved health and productivity traits, which can lead to better outcomes in farming and agriculture.

It's worth noting that while hybrid vigor is a well-established concept in genetics, its application in human medicine is limited. However, understanding the principles of hybrid vigor can still be useful for researchers studying genetic diversity and disease susceptibility in humans.

Haploidy is a term used in genetics to describe the condition of having half the normal number of chromosomes in a cell or an organism. In humans, for example, a haploid cell contains 23 chromosomes, whereas a diploid cell has 46 chromosomes.

Haploid cells are typically produced through a process called meiosis, which is a type of cell division that occurs in the reproductive organs of sexually reproducing organisms. During meiosis, a diploid cell undergoes two rounds of division to produce four haploid cells, each containing only one set of chromosomes.

In humans, haploid cells are found in the sperm and egg cells, which fuse together during fertilization to create a diploid zygote with 46 chromosomes. Haploidy is important for maintaining the correct number of chromosomes in future generations and preventing genetic abnormalities that can result from having too many or too few chromosomes.

An allele is a variant form of a gene that is located at a specific position on a specific chromosome. Alleles are alternative forms of the same gene that arise by mutation and are found at the same locus or position on homologous chromosomes.

Each person typically inherits two copies of each gene, one from each parent. If the two alleles are identical, a person is said to be homozygous for that trait. If the alleles are different, the person is heterozygous.

For example, the ABO blood group system has three alleles, A, B, and O, which determine a person's blood type. If a person inherits two A alleles, they will have type A blood; if they inherit one A and one B allele, they will have type AB blood; if they inherit two B alleles, they will have type B blood; and if they inherit two O alleles, they will have type O blood.

Alleles can also influence traits such as eye color, hair color, height, and other physical characteristics. Some alleles are dominant, meaning that only one copy of the allele is needed to express the trait, while others are recessive, meaning that two copies of the allele are needed to express the trait.

Molecular evolution is the process of change in the DNA sequence or protein structure over time, driven by mechanisms such as mutation, genetic drift, gene flow, and natural selection. It refers to the evolutionary study of changes in DNA, RNA, and proteins, and how these changes accumulate and lead to new species and diversity of life. Molecular evolution can be used to understand the history and relationships among different organisms, as well as the functional consequences of genetic changes.

Population Genetics is a subfield of genetics that deals with the genetic composition of populations and how this composition changes over time. It involves the study of the frequency and distribution of genes and genetic variations in populations, as well as the evolutionary forces that contribute to these patterns, such as mutation, gene flow, genetic drift, and natural selection.

Population genetics can provide insights into a wide range of topics, including the history and relationships between populations, the genetic basis of diseases and other traits, and the potential impacts of environmental changes on genetic diversity. This field is important for understanding evolutionary processes at the population level and has applications in areas such as conservation biology, medical genetics, and forensic science.

Biological evolution is the change in the genetic composition of populations of organisms over time, from one generation to the next. It is a process that results in descendants differing genetically from their ancestors. Biological evolution can be driven by several mechanisms, including natural selection, genetic drift, gene flow, and mutation. These processes can lead to changes in the frequency of alleles (variants of a gene) within populations, resulting in the development of new species and the extinction of others over long periods of time. Biological evolution provides a unifying explanation for the diversity of life on Earth and is supported by extensive evidence from many different fields of science, including genetics, paleontology, comparative anatomy, and biogeography.

Single Nucleotide Polymorphism (SNP) is a type of genetic variation that occurs when a single nucleotide (A, T, C, or G) in the DNA sequence is altered. This alteration must occur in at least 1% of the population to be considered a SNP. These variations can help explain why some people are more susceptible to certain diseases than others and can also influence how an individual responds to certain medications. SNPs can serve as biological markers, helping scientists locate genes that are associated with disease. They can also provide information about an individual's ancestry and ethnic background.

Genetic variation refers to the differences in DNA sequences among individuals and populations. These variations can result from mutations, genetic recombination, or gene flow between populations. Genetic variation is essential for evolution by providing the raw material upon which natural selection acts. It can occur within a single gene, between different genes, or at larger scales, such as differences in the number of chromosomes or entire sets of chromosomes. The study of genetic variation is crucial in understanding the genetic basis of diseases and traits, as well as the evolutionary history and relationships among species.

Linkage disequilibrium (LD) is a term used in genetics that refers to the non-random association of alleles at different loci (genetic locations) on a chromosome. This means that certain combinations of genetic variants, or alleles, at different loci occur more frequently together in a population than would be expected by chance.

Linkage disequilibrium can arise due to various factors such as genetic drift, selection, mutation, and population structure. It is often used in the context of genetic mapping studies to identify regions of the genome that are associated with particular traits or diseases. High levels of LD in a region of the genome suggest that the loci within that region are in linkage, meaning they tend to be inherited together.

The degree of LD between two loci can be measured using various statistical methods, such as D' and r-squared. These measures provide information about the strength and direction of the association between alleles at different loci, which can help researchers identify causal genetic variants underlying complex traits or diseases.

Asexual reproduction in a medical context refers to a type of reproduction that does not involve the fusion of gametes (sex cells) or the exchange of genetic material between two parents. In asexual reproduction, an organism creates offspring that are genetically identical to itself. This can occur through various mechanisms, such as budding, binary fission, fragmentation, or vegetative reproduction. Asexual reproduction is common in some plants, fungi, and unicellular organisms, but it also occurs in certain animals, such as starfish and some types of flatworms. This mode of reproduction allows for rapid population growth and can be advantageous in stable environments where genetic diversity is not essential for survival.

Genetic recombination is the process by which genetic material is exchanged between two similar or identical molecules of DNA during meiosis, resulting in new combinations of genes on each chromosome. This exchange occurs during crossover, where segments of DNA are swapped between non-sister homologous chromatids, creating genetic diversity among the offspring. It is a crucial mechanism for generating genetic variability and facilitating evolutionary change within populations. Additionally, recombination also plays an essential role in DNA repair processes through mechanisms such as homologous recombinational repair (HRR) and non-homologous end joining (NHEJ).

A computer simulation is a process that involves creating a model of a real-world system or phenomenon on a computer and then using that model to run experiments and make predictions about how the system will behave under different conditions. In the medical field, computer simulations are used for a variety of purposes, including:

1. Training and education: Computer simulations can be used to create realistic virtual environments where medical students and professionals can practice their skills and learn new procedures without risk to actual patients. For example, surgeons may use simulation software to practice complex surgical techniques before performing them on real patients.
2. Research and development: Computer simulations can help medical researchers study the behavior of biological systems at a level of detail that would be difficult or impossible to achieve through experimental methods alone. By creating detailed models of cells, tissues, organs, or even entire organisms, researchers can use simulation software to explore how these systems function and how they respond to different stimuli.
3. Drug discovery and development: Computer simulations are an essential tool in modern drug discovery and development. By modeling the behavior of drugs at a molecular level, researchers can predict how they will interact with their targets in the body and identify potential side effects or toxicities. This information can help guide the design of new drugs and reduce the need for expensive and time-consuming clinical trials.
4. Personalized medicine: Computer simulations can be used to create personalized models of individual patients based on their unique genetic, physiological, and environmental characteristics. These models can then be used to predict how a patient will respond to different treatments and identify the most effective therapy for their specific condition.

Overall, computer simulations are a powerful tool in modern medicine, enabling researchers and clinicians to study complex systems and make predictions about how they will behave under a wide range of conditions. By providing insights into the behavior of biological systems at a level of detail that would be difficult or impossible to achieve through experimental methods alone, computer simulations are helping to advance our understanding of human health and disease.

"Saccharomyces cerevisiae" is not typically considered a medical term, but it is a scientific name used in the field of microbiology. It refers to a species of yeast that is commonly used in various industrial processes, such as baking and brewing. It's also widely used in scientific research due to its genetic tractability and eukaryotic cellular organization.

However, it does have some relevance to medical fields like medicine and nutrition. For example, certain strains of S. cerevisiae are used as probiotics, which can provide health benefits when consumed. They may help support gut health, enhance the immune system, and even assist in the digestion of certain nutrients.

In summary, "Saccharomyces cerevisiae" is a species of yeast with various industrial and potential medical applications.

Genetic linkage is the phenomenon where two or more genetic loci (locations on a chromosome) tend to be inherited together because they are close to each other on the same chromosome. This occurs during the process of sexual reproduction, where homologous chromosomes pair up and exchange genetic material through a process called crossing over.

The closer two loci are to each other on a chromosome, the lower the probability that they will be separated by a crossover event. As a result, they are more likely to be inherited together and are said to be linked. The degree of linkage between two loci can be measured by their recombination frequency, which is the percentage of meiotic events in which a crossover occurs between them.

Linkage analysis is an important tool in genetic research, as it allows researchers to identify and map genes that are associated with specific traits or diseases. By analyzing patterns of linkage between markers (identifiable DNA sequences) and phenotypes (observable traits), researchers can infer the location of genes that contribute to those traits or diseases on chromosomes.

Rad52 is a DNA repair and recombination protein that plays a crucial role in the maintenance of genomic stability in cells. It is highly conserved across various species, including yeast, humans, and other mammals. The primary function of Rad52 is to facilitate the process of homologous recombination (HR), which is a critical DNA repair mechanism that helps to maintain the integrity of the genetic material in the event of double-strand breaks (DSBs) or other types of DNA damage.

Rad52 has several essential roles in HR:

1. Rad52 promotes the formation of ssDNA-Rad51 nucleoprotein filaments: Rad52 interacts with single-stranded DNA (ssDNA) generated during resection of DSBs, facilitating the recruitment and loading of the Rad51 recombinase onto the ssDNA. This Rad51-ssDNA nucleoprotein filament formation is a key step in HR, as it enables the search for homologous sequences and subsequent strand invasion.

2. Rad52 mediates DNA annealing: Rad52 can catalyze the annealing of complementary ssDNA molecules, promoting the reannealing of invaded strands during HR or facilitating the pairing of RPA-coated ssDNA with homologous duplex DNA.

3. Rad52 stimulates D-loop formation and extension: Rad52 can stimulate the extension of D-loops, which are three-stranded structures formed when a single-stranded DNA invades a double-stranded DNA molecule during HR. This process is essential for the subsequent steps of homology search and strand exchange.

4. Rad52 facilitates RPA displacement: Rad52 can displace replication protein A (RPA) from ssDNA, allowing Rad51 to bind and form nucleoprotein filaments. This is a critical step in HR, as RPA inhibits Rad51 binding to ssDNA.

5. Rad52 interacts with other DNA repair proteins: Rad52 interacts with various DNA repair proteins, including BRCA1, BRCA2, and the single-strand binding protein RPA, to coordinate HR and other DNA repair pathways.

In summary, Rad52 is a crucial player in homologous recombination (HR) and DNA damage response. It functions as a mediator of DNA annealing, D-loop formation, and RPA displacement, promoting efficient HR and maintaining genome stability.

A Genome-Wide Association Study (GWAS) is an analytical approach used in genetic research to identify associations between genetic variants, typically Single Nucleotide Polymorphisms (SNPs), and specific traits or diseases across the entire genome. This method involves scanning the genomes of many individuals, usually thousands, to find genetic markers that occur more frequently in people with a particular disease or trait than in those without it.

The goal of a GWAS is to identify genetic loci (positions on chromosomes) associated with a trait or disease, which can help researchers understand the underlying genetic architecture and biological mechanisms contributing to the condition. It's important to note that while GWAS can identify associations between genetic variants and traits/diseases, these studies do not necessarily prove causation. Further functional validation studies are often required to confirm the role of identified genetic variants in the development or progression of a trait or disease.

Inbreeding, in a medical context, refers to the practice of mating closely related individuals within a given family or breeding population. This leads to an increased proportion of homozygous genes, meaning that the same alleles (versions of a gene) are inherited from both parents. As a result, recessive traits and disorders become more likely to be expressed because the necessary dominant allele may be absent.

In human medicine, consanguinity is the term often used instead of inbreeding, and it refers to relationships between individuals who share a common ancestor. Consanguinity increases the risk of certain genetic disorders due to the increased likelihood of sharing harmful recessive genes. The closer the relationship, the higher the risk.

In animal breeding, inbreeding can lead to reduced fertility, lower birth weights, higher infant mortality, and a decreased lifespan. It is crucial to maintain genetic diversity within populations to ensure their overall health and vigor.

Inheritance patterns refer to the way in which a particular genetic trait or disorder is passed down from one generation to the next, following the rules of Mendelian genetics. There are several different inheritance patterns, including:

1. Autosomal dominant: A single copy of the altered gene in each cell is sufficient to cause the disorder. An affected parent has a 50% chance of passing on the altered gene to each offspring.
2. Autosomal recessive: Two copies of the altered gene in each cell are necessary for the disorder to occur. Both parents must be carriers of the altered gene and have a 25% chance of passing on the altered gene to each offspring, who may then develop the disorder.
3. X-linked dominant: The altered gene is located on the X chromosome, and one copy of the altered gene in each cell is sufficient to cause the disorder. Females are more likely to be affected than males, and an affected female has a 50% chance of passing on the altered gene to each offspring.
4. X-linked recessive: The altered gene is located on the X chromosome, and two copies of the altered gene in each cell are necessary for the disorder to occur. Males are more likely to be affected than females, and an affected male will pass on the altered gene to all of his daughters (who will be carriers) but none of his sons.
5. Mitochondrial inheritance: The altered gene is located in the mitochondria, the energy-producing structures in cells. Both males and females can pass on mitochondrial genetic disorders, but only through the female line because offspring inherit their mother's mitochondria.

Understanding inheritance patterns helps medical professionals predict the likelihood of a genetic disorder occurring in families and provides information about how a disorder may be passed down through generations.

Saccharomyces cerevisiae proteins are the proteins that are produced by the budding yeast, Saccharomyces cerevisiae. This organism is a single-celled eukaryote that has been widely used as a model organism in scientific research for many years due to its relatively simple genetic makeup and its similarity to higher eukaryotic cells.

The genome of Saccharomyces cerevisiae has been fully sequenced, and it is estimated to contain approximately 6,000 genes that encode proteins. These proteins play a wide variety of roles in the cell, including catalyzing metabolic reactions, regulating gene expression, maintaining the structure of the cell, and responding to environmental stimuli.

Many Saccharomyces cerevisiae proteins have human homologs and are involved in similar biological processes, making this organism a valuable tool for studying human disease. For example, many of the proteins involved in DNA replication, repair, and recombination in yeast have human counterparts that are associated with cancer and other diseases. By studying these proteins in yeast, researchers can gain insights into their function and regulation in humans, which may lead to new treatments for disease.

Statistical models are mathematical representations that describe the relationship between variables in a given dataset. They are used to analyze and interpret data in order to make predictions or test hypotheses about a population. In the context of medicine, statistical models can be used for various purposes such as:

1. Disease risk prediction: By analyzing demographic, clinical, and genetic data using statistical models, researchers can identify factors that contribute to an individual's risk of developing certain diseases. This information can then be used to develop personalized prevention strategies or early detection methods.

2. Clinical trial design and analysis: Statistical models are essential tools for designing and analyzing clinical trials. They help determine sample size, allocate participants to treatment groups, and assess the effectiveness and safety of interventions.

3. Epidemiological studies: Researchers use statistical models to investigate the distribution and determinants of health-related events in populations. This includes studying patterns of disease transmission, evaluating public health interventions, and estimating the burden of diseases.

4. Health services research: Statistical models are employed to analyze healthcare utilization, costs, and outcomes. This helps inform decisions about resource allocation, policy development, and quality improvement initiatives.

5. Biostatistics and bioinformatics: In these fields, statistical models are used to analyze large-scale molecular data (e.g., genomics, proteomics) to understand biological processes and identify potential therapeutic targets.

In summary, statistical models in medicine provide a framework for understanding complex relationships between variables and making informed decisions based on data-driven insights.

Genetic markers are specific segments of DNA that are used in genetic mapping and genotyping to identify specific genetic locations, diseases, or traits. They can be composed of short tandem repeats (STRs), single nucleotide polymorphisms (SNPs), restriction fragment length polymorphisms (RFLPs), or variable number tandem repeats (VNTRs). These markers are useful in various fields such as genetic research, medical diagnostics, forensic science, and breeding programs. They can help to track inheritance patterns, identify genetic predispositions to diseases, and solve crimes by linking biological evidence to suspects or victims.

Genetic load is a term used in population genetics that refers to the reduction in average fitness (or reproductive success) of a population due to the presence of deleterious or harmful alleles (versions of genes). These alleles can negatively impact an individual's survival, reproduction, or both. Genetic load can be caused by various factors such as mutations, genetic drift, and selection.

There are several types of genetic load, including:

1. Mutation load: The decrease in fitness due to the accumulation of new deleterious mutations in a population over time.
2. Segregation load: The reduction in average fitness caused by the presence of recessive deleterious alleles that are hidden in heterozygotes (individuals with one normal and one deleterious allele).
3. Inbreeding load: The decrease in fitness due to an increase in homozygosity (the presence of identical alleles on both chromosomes) resulting from inbreeding, which exposes recessive deleterious alleles.
4. Genetic drift load: The reduction in fitness caused by the random loss of beneficial or neutral alleles due to genetic drift, leading to a decrease in genetic diversity and an increase in the frequency of deleterious alleles.
5. Coevolutionary load: The decline in fitness resulting from the disruption of coadapted gene complexes (combinations of interacting genes) when populations are separated or experience environmental changes.

Overall, genetic load represents the cost of maintaining genetic variation within a population and can impact its long-term evolutionary potential and adaptability to changing environments.

"Drosophila" is a genus of small flies, also known as fruit flies. The most common species used in scientific research is "Drosophila melanogaster," which has been a valuable model organism for many areas of biological and medical research, including genetics, developmental biology, neurobiology, and aging.

The use of Drosophila as a model organism has led to numerous important discoveries in genetics and molecular biology, such as the identification of genes that are associated with human diseases like cancer, Parkinson's disease, and obesity. The short reproductive cycle, large number of offspring, and ease of genetic manipulation make Drosophila a powerful tool for studying complex biological processes.

Genetic hybridization is a biological process that involves the crossing of two individuals from different populations or species, which can lead to the creation of offspring with new combinations of genetic material. This occurs when the gametes (sex cells) from each parent combine during fertilization, resulting in a zygote with a unique genetic makeup.

In genetics, hybridization can also refer to the process of introducing new genetic material into an organism through various means, such as genetic engineering or selective breeding. This type of hybridization is often used in agriculture and biotechnology to create crops or animals with desirable traits, such as increased disease resistance or higher yields.

It's important to note that the term "hybrid" can refer to both crosses between different populations within a single species (intraspecific hybrids) and crosses between different species (interspecific hybrids). The latter is often more challenging, as significant genetic differences between the two parental species can lead to various reproductive barriers, making it difficult for the hybrid offspring to produce viable offspring of their own.

An algorithm is not a medical term, but rather a concept from computer science and mathematics. In the context of medicine, algorithms are often used to describe step-by-step procedures for diagnosing or managing medical conditions. These procedures typically involve a series of rules or decision points that help healthcare professionals make informed decisions about patient care.

For example, an algorithm for diagnosing a particular type of heart disease might involve taking a patient's medical history, performing a physical exam, ordering certain diagnostic tests, and interpreting the results in a specific way. By following this algorithm, healthcare professionals can ensure that they are using a consistent and evidence-based approach to making a diagnosis.

Algorithms can also be used to guide treatment decisions. For instance, an algorithm for managing diabetes might involve setting target blood sugar levels, recommending certain medications or lifestyle changes based on the patient's individual needs, and monitoring the patient's response to treatment over time.

Overall, algorithms are valuable tools in medicine because they help standardize clinical decision-making and ensure that patients receive high-quality care based on the latest scientific evidence.

A disease is a condition that impairs normal functioning and causes harm to the body. It is typically characterized by a specific set of symptoms and may be caused by genetic, environmental, or infectious agents. A disease can also be described as a disorder of structure or function in an organism that produces specific signs or symptoms. Diseases can range from minor ones, like the common cold, to serious illnesses, such as heart disease or cancer. They can also be acute, with a sudden onset and short duration, or chronic, lasting for a long period of time. Ultimately, a disease is any deviation from normal homeostasis that causes harm to an organism.

'Caenorhabditis elegans' is a species of free-living, transparent nematode (roundworm) that is widely used as a model organism in scientific research, particularly in the fields of biology and genetics. It has a simple anatomy, short lifespan, and fully sequenced genome, making it an ideal subject for studying various biological processes and diseases.

Some notable features of C. elegans include:

* Small size: Adult hermaphrodites are about 1 mm in length.
* Short lifespan: The average lifespan of C. elegans is around 2-3 weeks, although some strains can live up to 4 weeks under laboratory conditions.
* Development: C. elegans has a well-characterized developmental process, with adults developing from eggs in just 3 days at 20°C.
* Transparency: The transparent body of C. elegans allows researchers to observe its internal structures and processes easily.
* Genetics: C. elegans has a fully sequenced genome, which contains approximately 20,000 genes. Many of these genes have human homologs, making it an excellent model for studying human diseases.
* Neurobiology: C. elegans has a simple nervous system, with only 302 neurons in the hermaphrodite and 383 in the male. This simplicity makes it an ideal organism for studying neural development, function, and behavior.

Research using C. elegans has contributed significantly to our understanding of various biological processes, including cell division, apoptosis, aging, learning, and memory. Additionally, studies on C. elegans have led to the discovery of many genes associated with human diseases such as cancer, neurodegenerative disorders, and metabolic conditions.

Genetic predisposition to disease refers to an increased susceptibility or vulnerability to develop a particular illness or condition due to inheriting specific genetic variations or mutations from one's parents. These genetic factors can make it more likely for an individual to develop a certain disease, but it does not guarantee that the person will definitely get the disease. Environmental factors, lifestyle choices, and interactions between genes also play crucial roles in determining if a genetically predisposed person will actually develop the disease. It is essential to understand that having a genetic predisposition only implies a higher risk, not an inevitable outcome.

'Datura stramonium' is a plant species also known as Jimson weed or thorn apple. It belongs to the Solanaceae family, which includes other plants like nightshade and belladonna. All parts of this plant contain dangerous levels of toxic tropane alkaloids, such as scopolamine and atropine.

Here's a brief medical definition of 'Datura stramonium':

A plant species (Solanaceae family) containing toxic tropane alkaloids, including scopolamine and atropine, in all its parts. Common names include Jimson weed or thorn apple. Ingestion can lead to severe anticholinergic symptoms like delirium, tachycardia, dry mouth, blurred vision, and potentially life-threatening complications.

Gene expression regulation in fungi refers to the complex cellular processes that control the production of proteins and other functional gene products in response to various internal and external stimuli. This regulation is crucial for normal growth, development, and adaptation of fungal cells to changing environmental conditions.

In fungi, gene expression is regulated at multiple levels, including transcriptional, post-transcriptional, translational, and post-translational modifications. Key regulatory mechanisms include:

1. Transcription factors (TFs): These proteins bind to specific DNA sequences in the promoter regions of target genes and either activate or repress their transcription. Fungi have a diverse array of TFs that respond to various signals, such as nutrient availability, stress, developmental cues, and quorum sensing.
2. Chromatin remodeling: The organization and compaction of DNA into chromatin can influence gene expression. Fungi utilize ATP-dependent chromatin remodeling complexes and histone modifying enzymes to alter chromatin structure, thereby facilitating or inhibiting the access of transcriptional machinery to genes.
3. Non-coding RNAs: Small non-coding RNAs (sncRNAs) play a role in post-transcriptional regulation of gene expression in fungi. These sncRNAs can guide RNA-induced transcriptional silencing (RITS) complexes to specific target loci, leading to the repression of gene expression through histone modifications and DNA methylation.
4. Alternative splicing: Fungi employ alternative splicing mechanisms to generate multiple mRNA isoforms from a single gene, thereby increasing proteome diversity. This process can be regulated by RNA-binding proteins that recognize specific sequence motifs in pre-mRNAs and promote or inhibit splicing events.
5. Protein stability and activity: Post-translational modifications (PTMs) of proteins, such as phosphorylation, ubiquitination, and sumoylation, can influence their stability, localization, and activity. These PTMs play a crucial role in regulating various cellular processes, including signal transduction, stress response, and cell cycle progression.

Understanding the complex interplay between these regulatory mechanisms is essential for elucidating the molecular basis of fungal development, pathogenesis, and drug resistance. This knowledge can be harnessed to develop novel strategies for combating fungal infections and improving agricultural productivity.

Dominant genes refer to the alleles (versions of a gene) that are fully expressed in an individual's phenotype, even if only one copy of the gene is present. In dominant inheritance patterns, an individual needs only to receive one dominant allele from either parent to express the associated trait. This is in contrast to recessive genes, where both copies of the gene must be the recessive allele for the trait to be expressed. Dominant genes are represented by uppercase letters (e.g., 'A') and recessive genes by lowercase letters (e.g., 'a'). If an individual inherits one dominant allele (A) from either parent, they will express the dominant trait (A).

Gene Regulatory Networks (GRNs) are complex systems of molecular interactions that regulate the expression of genes within an organism. These networks consist of various types of regulatory elements, including transcription factors, enhancers, promoters, and silencers, which work together to control when, where, and to what extent a gene is expressed.

In GRNs, transcription factors bind to specific DNA sequences in the regulatory regions of target genes, either activating or repressing their transcription into messenger RNA (mRNA). This process is influenced by various intracellular and extracellular signals that modulate the activity of transcription factors, allowing for precise regulation of gene expression in response to changing environmental conditions.

The structure and behavior of GRNs can be represented as a network of nodes (genes) and edges (regulatory interactions), with the strength and directionality of these interactions determined by the specific molecular mechanisms involved. Understanding the organization and dynamics of GRNs is crucial for elucidating the underlying causes of various biological processes, including development, differentiation, homeostasis, and disease.

'Caenorhabditis elegans' (C. elegans) is a type of free-living, transparent nematode (roundworm) that is often used as a model organism in scientific research. C. elegans proteins refer to the various types of protein molecules that are produced by the organism's genes and play crucial roles in maintaining its biological functions.

Proteins are complex molecules made up of long chains of amino acids, and they are involved in virtually every cellular process, including metabolism, DNA replication, signal transduction, and transportation of molecules within the cell. In C. elegans, proteins are encoded by genes, which are transcribed into messenger RNA (mRNA) molecules that are then translated into protein sequences by ribosomes.

Studying C. elegans proteins is important for understanding the basic biology of this organism and can provide insights into more complex biological systems, including humans. Because C. elegans has a relatively simple nervous system and a short lifespan, it is often used to study neurobiology, aging, and development. Additionally, because many of the genes and proteins in C. elegans have counterparts in other organisms, including humans, studying them can provide insights into human disease processes and potential therapeutic targets.

I am not aware of a widely accepted medical definition for the term "software," as it is more commonly used in the context of computer science and technology. Software refers to programs, data, and instructions that are used by computers to perform various tasks. It does not have direct relevance to medical fields such as anatomy, physiology, or clinical practice. If you have any questions related to medicine or healthcare, I would be happy to try to help with those instead!

Gene frequency, also known as allele frequency, is a measure in population genetics that reflects the proportion of a particular gene or allele (variant of a gene) in a given population. It is calculated as the number of copies of a specific allele divided by the total number of all alleles at that genetic locus in the population.

For example, if we consider a gene with two possible alleles, A and a, the gene frequency of allele A (denoted as p) can be calculated as follows:

p = (number of copies of allele A) / (total number of all alleles at that locus)

Similarly, the gene frequency of allele a (denoted as q) would be:

q = (number of copies of allele a) / (total number of all alleles at that locus)

Since there are only two possible alleles for this gene in this example, p + q = 1. These frequencies can help researchers understand genetic diversity and evolutionary processes within populations.

'Drosophila proteins' refer to the proteins that are expressed in the fruit fly, Drosophila melanogaster. This organism is a widely used model system in genetics, developmental biology, and molecular biology research. The study of Drosophila proteins has contributed significantly to our understanding of various biological processes, including gene regulation, cell signaling, development, and aging.

Some examples of well-studied Drosophila proteins include:

1. HSP70 (Heat Shock Protein 70): A chaperone protein involved in protein folding and protection from stress conditions.
2. TUBULIN: A structural protein that forms microtubules, important for cell division and intracellular transport.
3. ACTIN: A cytoskeletal protein involved in muscle contraction, cell motility, and maintenance of cell shape.
4. BETA-GALACTOSIDASE (LACZ): A reporter protein often used to monitor gene expression patterns in transgenic flies.
5. ENDOGLIN: A protein involved in the development of blood vessels during embryogenesis.
6. P53: A tumor suppressor protein that plays a crucial role in preventing cancer by regulating cell growth and division.
7. JUN-KINASE (JNK): A signaling protein involved in stress response, apoptosis, and developmental processes.
8. DECAPENTAPLEGIC (DPP): A member of the TGF-β (Transforming Growth Factor Beta) superfamily, playing essential roles in embryonic development and tissue homeostasis.

These proteins are often studied using various techniques such as biochemistry, genetics, molecular biology, and structural biology to understand their functions, interactions, and regulation within the cell.

The vulva refers to the external female genital area. It includes the mons pubis (the pad of fatty tissue covered with skin and hair that's located on the front part of the pelvis), labia majora (the outer folds of skin that surround and protect the vaginal opening), labia minora (the inner folds of skin that surround the vaginal and urethral openings), clitoris (a small, sensitive organ located at the front of the vulva where the labia minora join), the external openings of the urethra (the tube that carries urine from the bladder out of the body) and vagina (the passageway leading to the cervix, which is the lower part of the uterus).

It's important to note that understanding the anatomy and terminology related to one's own body can help facilitate effective communication with healthcare providers, promote self-awareness, and support overall health and well-being.

Fungal proteins are a type of protein that is specifically produced and present in fungi, which are a group of eukaryotic organisms that include microorganisms such as yeasts and molds. These proteins play various roles in the growth, development, and survival of fungi. They can be involved in the structure and function of fungal cells, metabolism, pathogenesis, and other cellular processes. Some fungal proteins can also have important implications for human health, both in terms of their potential use as therapeutic targets and as allergens or toxins that can cause disease.

Fungal proteins can be classified into different categories based on their functions, such as enzymes, structural proteins, signaling proteins, and toxins. Enzymes are proteins that catalyze chemical reactions in fungal cells, while structural proteins provide support and protection for the cell. Signaling proteins are involved in communication between cells and regulation of various cellular processes, and toxins are proteins that can cause harm to other organisms, including humans.

Understanding the structure and function of fungal proteins is important for developing new treatments for fungal infections, as well as for understanding the basic biology of fungi. Research on fungal proteins has led to the development of several antifungal drugs that target specific fungal enzymes or other proteins, providing effective treatment options for a range of fungal diseases. Additionally, further study of fungal proteins may reveal new targets for drug development and help improve our ability to diagnose and treat fungal infections.

DNA repair is the process by which cells identify and correct damage to the DNA molecules that encode their genome. DNA can be damaged by a variety of internal and external factors, such as radiation, chemicals, and metabolic byproducts. If left unrepaired, this damage can lead to mutations, which may in turn lead to cancer and other diseases.

There are several different mechanisms for repairing DNA damage, including:

1. Base excision repair (BER): This process repairs damage to a single base in the DNA molecule. An enzyme called a glycosylase removes the damaged base, leaving a gap that is then filled in by other enzymes.
2. Nucleotide excision repair (NER): This process repairs more severe damage, such as bulky adducts or crosslinks between the two strands of the DNA molecule. An enzyme cuts out a section of the damaged DNA, and the gap is then filled in by other enzymes.
3. Mismatch repair (MMR): This process repairs errors that occur during DNA replication, such as mismatched bases or small insertions or deletions. Specialized enzymes recognize the error and remove a section of the newly synthesized strand, which is then replaced by new nucleotides.
4. Double-strand break repair (DSBR): This process repairs breaks in both strands of the DNA molecule. There are two main pathways for DSBR: non-homologous end joining (NHEJ) and homologous recombination (HR). NHEJ directly rejoins the broken ends, while HR uses a template from a sister chromatid to repair the break.

Overall, DNA repair is a crucial process that helps maintain genome stability and prevent the development of diseases caused by genetic mutations.

Multifactorial inheritance is a type of genetic inheritance that involves the interaction of multiple genes (two or more) along with environmental factors in the development of a particular trait, disorder, or disease. Each gene can slightly increase or decrease the risk of developing the condition, and the combined effects of these genes, along with environmental influences, determine the ultimate outcome.

Examples of multifactorial inheritance include height, skin color, and many common diseases such as heart disease, diabetes, and mental disorders like schizophrenia and autism. These conditions tend to run in families but do not follow simple Mendelian patterns of inheritance (dominant or recessive). Instead, they show complex inheritance patterns that are influenced by multiple genetic and environmental factors.

It is important to note that having a family history of a multifactorial disorder does not guarantee that an individual will develop the condition. However, it does increase the likelihood, and the risk may be further modified by lifestyle choices, environmental exposures, and other health factors.

The term "environment" in a medical context generally refers to the external conditions and surroundings that can have an impact on living organisms, including humans. This includes both physical factors such as air quality, water supply, soil composition, temperature, and radiation, as well as biological factors such as the presence of microorganisms, plants, and animals.

In public health and epidemiology, the term "environmental exposure" is often used to describe the contact between an individual and a potentially harmful environmental agent, such as air pollution or contaminated water. These exposures can have significant impacts on human health, contributing to a range of diseases and disorders, including respiratory illnesses, cancer, neurological disorders, and reproductive problems.

Efforts to protect and improve the environment are therefore critical for promoting human health and preventing disease. This includes measures to reduce pollution, conserve natural resources, promote sustainable development, and mitigate the impacts of climate change.

The genetic architecture of complex traits underlying physiology and disease in most organisms remains elusive. We still know ... Genetic architecture of complex traits: large phenotypic effects and pervasive epistasis Proc Natl Acad Sci U S A. 2008 Dec 16; ... The genetic architecture of complex traits underlying physiology and disease in most organisms remains elusive. We still know ... Two key observations emerge about the genetic architecture of these traits. First, the traits tend to be highly polygenic: ...

https://pubmed.ncbi.nlm.nih.gov/19066216/

Genetic" by people in this website by year, and whether "Epistasis, Genetic" was a major or minor topic of these publications. ... "Epistasis, Genetic" is a descriptor in the National Library of Medicines controlled vocabulary thesaurus, MeSH (Medical ... Below are the most recent publications written about "Epistasis, Genetic" by people in Profiles. ... Below are MeSH descriptors whose meaning is more general than "Epistasis, Genetic". ...

https://profiles.ucdenver.edu/display/204366

Epistasis refers to genetic interactions in which the mutation of one gene masks the phenotypic effects of a mutation at ... Genetic interactions are generally classified as either Positive/Alleviating or Negative/Aggravating. Fitness epistasis (an ... Synthetic genetic arrays (SGA) and diploid based synthetic lethality analysis of microarrays (dSLAM) are two key methods which ... E-MAPs exploit an SGA approach in order to analyze genetic interactions in a high-throughput manner. While the method has been ...

https://en.wikipedia.org/wiki/Epistasis_and_functional_genomics

Although the majority of genetic alterations associated with melanoma development are somatic, the underlying presence of ... Epistasis, Genetic * Gene-Environment Interaction * Genetic Association Studies* * Genetic Predisposition to Disease* ... It is likely that melanoma risk genes will impact on mutation screening and genetic counselling not only for melanoma but ... Although the majority of genetic alterations associated with melanoma development are somatic, the underlying presence of ...

https://pubmed.ncbi.nlm.nih.gov/26337759/

Genetic variance IIA Integrated irrigation-aquaculture VI Epistasis genetic variance IPM Integrated pest management ...

https://www.fao.org/faoterm/collection/aquaculture/en/?lang=en

Moreover, epistasis is typically strong, and it is the dominant genetic determinant of the cost of resistance mutations. To ... epistasis arises because individual rpoB mutations have differential effects on transcriptional efficiency in different genetic ... investigate the functional basis of epistasis, and because rpoB plays a central role in transcription, we measured the effects ... Moreover, epistasis is typically strong, and it is the dominant genetic determinant of the cost of resistance mutations. To ...

https://www.neuroscience.ox.ac.uk/publications/617080

Genetic control of soybean seed isoflavone content: Importance of statistical model and epistasis in complex traits. ... Dive into the research topics of Genetic control of soybean seed isoflavone content: Importance of statistical model and ...

https://experts.umn.edu/en/publications/genetic-control-of-soybean-seed-isoflavone-content-importance-of-/fingerprints/?sortBy=alphabetically

Epistasis. Epistasis is a circumstance where the expression of one gene is modified (e.g., masked, inhibited or suppressed) by ... Genetic Map. A genetic map (also called a linkage map) shows the relative location of genetic markers (reflecting sites of ... Genetic Epidemiology. Genetic epidemiology is a field of science focused on the study of how genetic factors influence human ... Genetic Counseling. Genetic counseling refers to guidance relating to genetic disorders that a specialized healthcare ...

https://www.genome.gov/genetics-glossary/h

Reconstructing a metazoan genetic pathway with transcriptome-wide epistasis measurements.. Angeles-Albores, David; Puckett ... RNA-sequencing (RNA-seq) is commonly used to identify genetic modules that respond to perturbations. In single cells, ... We developed a single coefficient to quantify transcriptome-wide epistasis that reflects the underlying interactions and which ... Proteínas de Caenorhabditis elegans/genética Caenorhabditis elegans/genética Epistasis Genética Redes Reguladoras de Genes ...

https://pesquisa.bvsalud.org/perinatal/resource/es/mdl-29531064

... to interpret not only the functional effects of single genetic variants but also the epistasis effects from DMS data. With ... Abstract: W05.00005 : Inferring epistasis from deep mutational scanning data*. 4:12 PM-4:24 PM ... Deep mutational scanning (DMS) is a popular mutagenesis method assisting to measure the functional effects of genetic variants ... We also find interpretable epistatic interactions between genetic variants. Our framework can be widely applied to DMS data ...

https://meetings.aps.org/Meeting/MAR22/Session/W05.5

found: MESH(Epistasis, Genetic). *. found: Dorlands med. dict.(epistasis: interaction between genes on different loci, as a ...

https://id.loc.gov/authorities/subjects/sh99011759.html

Epistasis lowers the genetic barrier to SARS-CoV-2 neutralizing antibody escape. Nat. Commun. 14, 302 (2023). ...

https://www.nature.com/articles/s41467-023-39989-y?error=cookies_not_supported&code=969d9be9-0604-4932-b4b8-80c27a37f878

So when you said that Sanford ignores the whole issue of epistasis you didnt mean to imply that he is ignorant of epistasis? ... Epistasis - The different mutations that affect the same trait often interact, and when this happens, it is called epistasis. A ... Synergistic epistasis - The term synergistic epistasis is normally only used in attempting to rationalize how genomes might be ... Such epistasis creates non-heritable noise and strongly interferes with selection. Geneticists acknowledge that epistasis is ...

https://uncommondescent.com/intelligent-design/average-child-has-60-genetic-mutations/

... additive epistasis had a positive effect on the performance of F2 hybrids. All traits except fecundity showed a pattern of ... GENETIC ARCHITECTURE OF DIFFERENCES BETWEEN POPULATIONS OF COWPEA WEEVIL (CALLOSOBRUCHUS MACULATUS) EVOLVED IN THE SAME ... We investigated the genetic architecture underlying differentiation in fitness-related traits between two pairs of populations ... Jonas Bieri and Tadeusz J. Kawecki "GENETIC ARCHITECTURE OF DIFFERENCES BETWEEN POPULATIONS OF COWPEA WEEVIL (CALLOSOBRUCHUS ...

https://bioone.org/journals/evolution/volume-57/issue-2/0014-3820_2003_057_0274_GAODBP_2.0.CO_2/GENETIC-ARCHITECTURE-OF-DIFFERENCES-BETWEEN-POPULATIONS-OF-COWPEA-WEEVIL-CALLOSOBRUCHUS/10.1554/0014-3820

Use of genetic variation. Estimation of breeding values and family indices on traits determined by single genes. Principles of ... Principles of Mendelian inheritance: locus and alleles, dominance interactions and epistasis. Probability studies. Sex ... Introduction to genetic analysis of populations: allele and genotypic frequencies, Hardy Weinberg Law, its extensions and ...

https://www.up.ac.za/faculty-of-education/yearbooks/2017/SCI-faculty/UD-programmes/view/02133411

Mutation: A mutation is a change in a viruss genetic code. Mutations are a normal part of viral replication. Viruses make ... Epistasis: The Greek roots of this word mean "standing upon." So what does that have to do with viruses? Well, in genetics, the ... Variant: In essence, a variant is a version of the virus with a slightly different genetic sequence because of the appearance ... "The omicron variant has over 50 genetic mutations in the viral genome. Many of these mutations are found in the spike protein ...

https://www.wknofm.org/2021-12-03/coronavirus-faq-help-me-with-omicron-vocab-whats-immune-evasion-epistasis

Title: EPISTASIS IS AN IMPORTANT GENETIC BASIS FOR THREE GRAIN YEILD COMPONENTS INRICE (ORYZA SATIVA L.) Author. LI, ZHIKANG ... Following identification of 19 QTLs affecting these traits, we investigated the role of epistasis in genetic control of these ... These results indicate that epistasis is an important genetic basis for complex traits such as yield components, especially GWP ... Such interaction between genes is known as epistasis. One example of epistasis would be when the enzymatic protein made by one ...

https://www.ars.usda.gov/research/publications/publication/?seqNo115=74543

Introduction to genetic analysis of populations: allele and genotypic frequencies, Hardy Weinberg Law, its extensions and ... Principles of Mendelian inheritance: locus and alleles, dominance interactions and epistasis. Probability studies. Sex ... Adaptation, Darwins formulation, proximate and ultimate causation, genetic and developmental constraints, optimality. ...

https://www.up.ac.za/yearbooks/2018/SCI-faculty/UD-programmes/view/02133401

... have been an important tool for susceptibility gene discovery in genetic disorders and investigating the interplay among ... Such interactions between two or more loci is called epistasis... ... is called epistasis and it has a major role in complex genetic ... Potpourri: An Epistasis Test Prioritization Algorithm via Diverse SNP Selection. *Gizem Caylak9 & ... Genome-wide association studies (GWAS) have been an important tool for susceptibility gene discovery in genetic disorders and ...

https://link.springer.com/chapter/10.1007/978-3-030-45257-5_22?error=cookies_not_supported&code=5818a91c-fca6-4ca4-8172-23f0717cc4c6

Genetic epistasis analysis confirmed that ITGA7 and FGFR4 act downstream of FOXC1. Furthermore, pharmaceutical inhibition of ... Association of genetic polymorphisms in genes involved in Ara-C and dNTP metabolism pathway with chemosensitivity and prognosis ... Here we report that genetic or pharmacological targeting of the epigenetic modifier Ezh2 dramatically hinders metastatic ...

http://www.cancerindex.org/geneweb/FOXC1.htm

We use large phenotype and pedigree data sets in different livestock and companion animal species to quantify the genetic ... Expected influence of linkage disequilibrium on genetic variance caused by dominance and epistasis on quantitative traits. ... Estimation of genetic parameters and social interaction of feeding behaviour and production traits in Finnish pig breeds ... Estimation of genetic parameters and social interaction of feeding behaviour and production traits in Finnish pig breeds ...

https://www.helsinki.fi/en/researchgroups/animal-science/research/selection-programmes

Epistasis is a feature of the genotype-phenotype map, and of genetic architecture. The genes that together are responsible for ... positive epistasis, red, negative epistasis, black, no epistasis. In (a), two independently beneficial mutations may have their ... 3: Prevalance of epistasis. (A) The distribution of genetic interaction network degree for negative (red) and positive (green) ... Why is epistasis important in evolution? One reason why epistasis is so important in evolutionary biology is that it affects ...

https://beacon-center.org/2012/09/17/evolution-101-epistasis/

2005) Perspective: sign epistasis and genetic costraint on evolutionary trajectories Evolution 59:1165-1174. ... 2011) Reciprocal sign epistasis is a necessary condition for multi-peaked fitness landscapes Journal of Theoretical Biology 272 ... 2019) Higher-order epistasis shapes the fitness landscape of a xenobiotic-degrading enzyme Nature Chemical Biology 15:1120-1128 ... We also found evidence of higher-order epistasis beyond the requirement for elimination of R225. For example, both of the top ...

https://elifesciences.org/articles/59081

Combined Analysis of Pleiotropy and Epistasis infers predictive networks between genetic variants and phenotypes. It can be ... cape: Combined Analysis of Pleiotropy and Epistasis for Diversity Outbred Mice. ...

https://ftp.belnet.be/mirrors/CRAN/web/packages/cape/index.html

Genetic architecture of complex traits: large phenotypic effects and pervasive epistasis. H Shao, LC Burrage, DS Sinasac, AE ... Comparison of human genetic and sequence-based physical maps. A Yu, C Zhao, Y Fan, W Jang, AJ Mungall, P Deloukas, A Olsen, ... ... A second-generation genetic linkage map of the domestic dog, Canis familiaris. MW Neff, KW Broman, CS Mellersh, K Ray, GM ... Genetic analysis of complex traits in the emerging Collaborative Cross. DL Aylor, W Valdar, W Foulds-Mathes, RJ Buus, RA ...

https://scholar.google.fr/citations?user=42tCp5UAAAAJ&hl=fr&oe=ASCII

... from fixation dynamics to the genetic architecture of organisms. Here, we re-analyze several published datasets from ... from fixation dynamics to the genetic architecture of organisms. Here, we re-analyze several published datasets from ... that macroscopic epistasis can emerge in the absence of epistasis at the genetic level (microscopic epistasis). To illustrate ... Gros, P. A., Le Nagard, H., and Tenaillon, O. (2009). The evolution of epistasis and its links with genetic robustness, ...

https://www.frontiersin.org/articles/10.3389/fgene.2015.00099/full

... implicated in DNA repair based on genetic interactions with RAD52 epistasis genes 1 2 3 4 5 Name Description. Ino Eighty ... Interaction annotations are curated by BioGRID and include physical or genetic interactions observed between at least two genes ...

https://www.yeastgenome.org/locus/YEL044W

Negative Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in ... Conservation and rewiring of functional modules revealed by an epistasis map in fission yeast.. Roguev A, Bandyopadhyay S, ... Negative Genetic. Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in ... Negative Genetic. Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in ...

https://thebiogrid.org/interaction/526316

Plant breeding progress and genetic diversity from de novo variation and elevated epistasis. Crop Science 37, 303-310. ... "Elite" gene pools have inherent mechanisms to provide a continuing source of new genetic variability (Rasmusson and Phillips ... because heritability is improved by increasing the share of genetic variance at the expense of environmental variance, as well ...

http://www.cropscience.org.au/icsc2004/poster/3/4/7/977_tokatlidisis.htm

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Regulation of body length and male tail ray pattern formation of Caenorhabditis elegans by a member of TGF-beta family. (1/2239)

Evolution by small steps and rugged landscapes in the RNA virus phi6. (2/2239)

twin of eyeless, a second Pax-6 gene of Drosophila, acts upstream of eyeless in the control of eye development. (3/2239)

Effects of mutations in DNA repair genes on formation of ribosomal DNA circles and life span in Saccharomyces cerevisiae. (4/2239)

Coordination of the initiation of recombination and the reductional division in meiosis in Saccharomyces cerevisiae. (5/2239)

RAD50 and RAD51 define two pathways that collaborate to maintain telomeres in the absence of telomerase. (6/2239)

A Bub2p-dependent spindle checkpoint pathway regulates the Dbf2p kinase in budding yeast. (7/2239)

Bacteriophage T4 rnh (RNase H) null mutations: effects on spontaneous mutation and epistatic interaction with rII mutations. (8/2239)

No FAQ available that match "epistasis genetic"

Epistasis, Genetic

Models, Genetic

Genetic Pleiotropy

Quantitative Trait Loci

Genetic Fitness

Crosses, Genetic

Multifactor Dimensionality Reduction

Phenotype

Mutation

Sex

Genotype

Selection, Genetic

Quantitative Trait, Heritable

Chromosome Mapping

Hybrid Vigor

Haploidy

Alleles

Evolution, Molecular

Genetics, Population

Biological Evolution

Polymorphism, Single Nucleotide

Genetic Variation

Linkage Disequilibrium

Reproduction, Asexual

Recombination, Genetic

Computer Simulation

Saccharomyces cerevisiae

Genetic Linkage

Rad52 DNA Repair and Recombination Protein

Genome-Wide Association Study

Inbreeding

Inheritance Patterns

Saccharomyces cerevisiae Proteins

Models, Statistical

Genetic Markers

Genetic Load

Drosophila

Hybridization, Genetic

Algorithms

Disease

Caenorhabditis elegans

Genetic Predisposition to Disease

Datura stramonium

Gene Expression Regulation, Fungal

Genes, Dominant

Gene Regulatory Networks

Caenorhabditis elegans Proteins

Software

Gene Frequency

Drosophila Proteins

Vulva

Fungal Proteins

DNA Repair

Multifactorial Inheritance

Environment

Regulation of body length and male tail ray pattern formation of Caenorhabditis elegans by a member of TGF-beta family. (1/2239)

Evolution by small steps and rugged landscapes in the RNA virus phi6. (2/2239)

twin of eyeless, a second Pax-6 gene of Drosophila, acts upstream of eyeless in the control of eye development. (3/2239)

Effects of mutations in DNA repair genes on formation of ribosomal DNA circles and life span in Saccharomyces cerevisiae. (4/2239)

Coordination of the initiation of recombination and the reductional division in meiosis in Saccharomyces cerevisiae. (5/2239)

RAD50 and RAD51 define two pathways that collaborate to maintain telomeres in the absence of telomerase. (6/2239)

A Bub2p-dependent spindle checkpoint pathway regulates the Dbf2p kinase in budding yeast. (7/2239)

Bacteriophage T4 rnh (RNase H) null mutations: effects on spontaneous mutation and epistatic interaction with rII mutations. (8/2239)

Genetic architecture of complex traits: large phenotypic effects and pervasive epistasis

Epistasis, Genetic | Colorado PROFILES

Epistasis and functional genomics - Wikipedia

Melanoma genetics

Aquaculture | FAO TERM PORTAL | Food and Agriculture Organization of the United Nations

Epistasis between antibiotic resistance mutations and genetic background shape the fitness effect of resistance across species...

Genetic control of soybean seed isoflavone content: Importance of statistical model and epistasis in complex traits -...

Talking Glossary of Genetic Terms | NHGRI

Reconstructing a metazoan genetic pathway with transcriptome-wide epistasis measurements. | Proc Natl Acad Sci U S A;115(13):...

APS -APS March Meeting 2022 - Event - Inferring epistasis from deep mutational scanning data

Epistasis (Genetics) - LC Linked Data Service: Authorities and Vocabularies | Library of Congress

SARS-CoV-2 vaccination, booster, and infection in pregnant population enhances passive immunity in neonates | Nature...

Average child has 60 genetic mutations? | Uncommon Descent

GENETIC ARCHITECTURE OF DIFFERENCES BETWEEN POPULATIONS OF COWPEA WEEVIL (CALLOSOBRUCHUS MACULATUS) EVOLVED IN THE SAME...

02133411 | Yearbooks 2017 | University of Pretoria

Coronavirus FAQ: Help me with omicron vocab. What's immune evasion? Epistasis? | WKNO FM

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