Pleiotropy () is a condition in which a single gene or genetic variant influences multiple . A gene that has such multiple effects is referred to as a pleiotropic gene. in pleiotropic genes can affect several traits simultaneously, often because the gene product is used in various cells and affects different biological targets through shared signaling pathways.
Pleiotropy can result from several distinct but potentially overlapping mechanisms, including gene pleiotropy, developmental pleiotropy, and selectional pleiotropy. Gene pleiotropy occurs when a gene product interacts with multiple or catalyzes different reactions. Developmental pleiotropy refers to that produce several phenotype effects during development. Selectional pleiotropy occurs when a single phenotype influences evolutionary fitness in multiple ways (depending on factors such as age and sex).
There are also three main types of genetic pleiotropic effects when a variant or gene is associated with more than one trait:
A well-known example of pleiotropy is phenylketonuria, a genetic disorder caused by a mutation in a single gene on chromosome 12 that encodes the enzyme phenylalanine hydroxylase. This mutation leads to the accumulation of the amino acid phenylalanine in the body, affecting multiple systems, such as the nervous and integumentary system.
Pleiotropic gene action can limit the rate of multivariate evolution when natural selection, sexual selection or artificial selection on one trait favors one allele, while selection on other traits favors a different allele. Pleiotropic mutations can sometimes be deleterious, especially when they negatively affect essential traits. Genetic correlations and responses to selection most often exemplify pleiotropy.
Pleiotropy is widespread in the genome, with many genes influencing biological traits and pathways. Understanding pleiotropy is crucial in genome-wide association studies (GWAS catalog), where variants are often linked to multiple traits or diseases.
The term "pleiotropie" was first coined by Ludwig Plate in his Festschrift, which was published in 1910. He originally defined pleiotropy as occurring when "several characteristics are dependent upon ... inheritance; these characteristics will then always appear together and may thus appear correlated". This definition is still used today.
After Plate's definition, Hans Gruneberg was the first to study the mechanisms of pleiotropy. In 1938 Gruneberg published an article dividing pleiotropy into two distinct types: "genuine" and "spurious" pleiotropy. "Genuine" pleiotropy is when two distinct primary products arise from one locus. "Spurious" pleiotropy, on the other hand, is either when one primary product is utilized in different ways or when one primary product initiates a cascade of events with different Phenotype consequences. Gruneberg came to these distinctions after experimenting on rats with skeletal . He recognized that "spurious" pleiotropy was present in the mutation, while "genuine" pleiotropy was not, thus partially invalidating his own original theory.Gruneberg, H., 1938 An analysis of the "pleiotropic" effects of a new lethal mutation in the rat (Mus norvegicus). Proc. R. Soc. Lond. B 125: 123–144. Through subsequent research, it has been established that Gruneberg's definition of "spurious" pleiotropy is what we now identify simply as "pleiotropy".
In 1941 American geneticists George Beadle and Edward Tatum further invalidated Gruneberg's definition of "genuine" pleiotropy, advocating instead for the "one gene–one enzyme" hypothesis that was originally introduced by French biologist Lucien Cuénot in 1903. This hypothesis shifted future research regarding pleiotropy towards how a single gene can produce various phenotypes.
In the mid-1950s Richard Goldschmidt and Ernst Hadorn, through separate individual research, reinforced the faultiness of "genuine" pleiotropy. A few years later, Hadorn partitioned pleiotropy into a "mosaic" model (which states that one locus directly affects two phenotypic traits) and a "relational" model (which is analogous to "spurious" pleiotropy). These terms are no longer in use but have contributed to the current understanding of pleiotropy.
By accepting the one gene–one enzyme hypothesis, scientists instead focused on how uncoupled phenotypic traits can be affected by genetic recombination and mutations, applying it to populations and evolution. This view of pleiotropy, "universal pleiotropy", defined as locus mutations being capable of affecting essentially all traits, was first implied by Ronald Fisher's Geometric Model in 1930. This mathematical model illustrates how evolutionary fitness depends on the independence of phenotypic variation from random changes (that is, mutations). It theorizes that an increasing phenotypic independence corresponds to a decrease in the likelihood that a given mutation will result in an increase in fitness.
Expanding on Fisher's work, Sewall Wright provided more evidence in his 1968 book Evolution and the Genetics of Populations: Genetic and Biometric Foundations by using molecular genetics to support the idea of "universal pleiotropy". The concepts of these various studies on evolution have seeded numerous other research projects relating to individual fitness.
In 1957 evolutionary biologist George C. Williams theorized that antagonistic effects will be exhibited during an organism's life cycle if it is closely linked and pleiotropic. Natural selection favors genes that are more beneficial prior to reproduction than after (leading to an increase in reproductive success). Knowing this, Williams argued that if only close Genetic linkage was present, then beneficial traits will occur both before and after reproduction due to natural selection. This, however, is not observed in nature, and thus antagonistic pleiotropy contributes to the slow deterioration with age (senescence).
Early genome-wide association studies (GWAS) that revealed links between many genetic loci and multiple traits were often described in terms of cross-phenotype (CP) associations. When such associations can be traced back to a shared biological mechanism at the causal locus, they can be more precisely defined as pleiotropic effects.
Genome-wide association studies and machine learning analysis of large-scale genomic data have made it possible to develop SNP-based polygenic predictors for complex human traits. The goal of GWAS was to identify how strongly a specific genetic variant, typically a SNP genotyping, is associated with a particular human trait.
One way to quantify pleiotropy is by measuring the proportion of shared genetic variance between two complex traits. Analyses of hundreds of trait pairs have shown that often, the genomic regions involved are largely distinct, with only modest overlap. This suggests that, for the complex traits studied so far, pleiotropy is generally limited. Still, identifying genetic variants through GWAS and linking them to biological pathways offers valuable opportunities to improve diagnosis, develop new therapies, and better prevent diseases.
Polygenic score (PRS), built from these findings, holds promise for predicting individual risk for various conditions. However, while PRS has many strengths, their predictive power remains probabalistic. The accuracy and reliability of these scores are currently under scrutiny, emphasizing the need for cautious interpretation when applying them to clinical or public health contexts.
The "pleiotropy-barrier" model proposes a logistic growth pattern for the increase of pleiotropy over time. This model differentiates between the levels of pleiotropy in evolutionarily younger and older genes subjected to natural selection. It suggests a higher potential for phenotypic innovation in evolutionarily newer genes due to their lower levels of pleiotropy.
Other more complex models compensate for some of the basic model's oversights, such as multiple traits or assumptions about how the loci affect the traits. They also propose the idea that pleiotropy increases the phenotypic variation of both traits since a single mutation on a gene would have twice the effect.
In mating, for many animals the signals and receptors of sexual communication may have evolved simultaneously as the expression of a single gene, instead of the result of selection on two independent genes, one that affects the signaling trait and one that affects the receptor trait. In such a case, pleiotropy would facilitate mating and survival. However, pleiotropy can act negatively as well. A study on seed beetles found that intralocus sexual conflict arises when selection for certain alleles of a gene that are beneficial for one sex causes expression of potentially harmful traits by the same gene in the other sex, especially if the gene is located on an Autosome.
Pleiotropic genes act as an arbitrating force in speciation. William R. Rice and Ellen E. Hostert (1993) conclude that the observed prezygotic isolation in their studies is a product of pleiotropy's balancing role in indirect selection. By imitating the traits of all-infertile hybridized species, they noticed that the fertilization of eggs was prevented in all eight of their separate studies, a likely effect of pleiotropic genes on speciation. Likewise, pleiotropic gene's stabilizing selection allows for the allele frequency to be altered.
Studies on Fungus Genomics have shown pleiotropic traits that simultaneously affect adaptation and reproductive isolation, converting adaptations directly to speciation. A particularly telling case of this effect is host specificity in pathogenic Ascomycota and specifically, in venturia, the fungus responsible for apple scab. These Parasitism fungi each adapts to a host, and are only able to mate within a shared host after obtaining resources. Since a single toxin gene or virulence allele can grant the ability to colonize the host, adaptation and reproductive isolation are instantly facilitated, and in turn, pleiotropically causes adaptive speciation. The studies on fungal evolutionary genomics will further elucidate the earliest stages of divergence as a result of gene flow, and provide insight into pleiotropically induced adaptive divergence in other .
This idea is central to the antagonistic pleiotropy hypothesis, which was first developed by G.C. Williams in 1957. Williams suggested that some genes responsible for increased fitness in the younger, fertile organism contribute to decreased fitness later in life, which may give an evolutionary explanation for senescence. An example is the p53 gene, which suppresses cancer but also suppresses , which replenish worn-out tissue.
Unfortunately, the process of antagonistic pleiotropy may result in an altered evolutionary path with delayed adaptation, in addition to effectively cutting the overall benefit of any by roughly half. However, antagonistic pleiotropy also lends greater evolutionary "staying power" to genes controlling beneficial traits, since an organism with a mutation to those genes would have a decreased chance of successfully reproducing, as multiple traits would be affected, potentially for the worse.
Antagonistic pleiotropy can manifest in many ways, depending on the contexts in which its positive and negative effects occur. These effects may arise in different stages of an life. For example can certain alleles of ORL1 (lectin-like low-density lipoprotein receptor 1) enhance the immune defense in early life but also, increase the risk of cardiovascular disease later. It is also a possibility, that positive and negative effects can occur at the same time, for example some alleles of the androgen receptor (AR), which appears to lower the risk of getting breast cancer at the same time increasing the risk of ovarian cancer.
Sickle cell anemia is a classic example of the mixed benefit given by the staying power of pleiotropic genes, as the mutation to Hb-S provides the fitness benefit of malaria resistance to Zygosity as sickle cell trait, while Zygosity have significantly lowered life expectancy—what is known as "heterozygote advantage". Since both of these states are linked to the same mutated gene, large populations today are susceptible to sickle cell despite it being a fitness-impairing genetic disorder.
Sickle cell anemia is a pleiotropic disease because the expression of a single mutated HBB gene produces numerous consequences throughout the body. The mutated hemoglobin forms polymers and clumps together causing the deoxygenated sickle red blood cells to assume the disfigured sickle shape. As a result, the cells are inflexible and cannot easily flow through blood vessels, increasing the risk of Thrombus and possibly depriving vital organs of oxygen. Some complications associated with sickle cell anemia include pain, damaged organs, , Hypertension, and loss of vision. Sickle red blood cells also have a shortened lifespan and die prematurely.
Without medical intervention, prognosis of Marfan syndrome can range from moderate to life-threatening, with 90% of known causes of death in diagnosed patients relating to cardiovascular complications and Heart failure. Other characteristics of MFS include an increased arm span and decreased upper to lower body ratio.
These pleiotropic loci were classified into four groups: loci associated with nearly all pain traits, loci associated with a specific type of pain, loci associated with multiple forms of musculoskeletal pain, and loci associated with Headache.
Additionally, pleiotropy was not limited to different types of pain but also extended to psychiatric, metabolic, and immunological traits. Genetic correlations were found between pain susceptibility and conditions such as depression, increase of body mass index, asthma, and cardiovascular diseases.
Domesticated chickens underwent a rapid selection process that led to unrelated phenotypes having high correlations, suggesting pleiotropic, or at least close linkage, effects between comb mass and Physiology structures related to Reproduction abilities. Both males and females with larger combs have higher bone density and strength, which allows females to deposit more calcium into eggshells. This linkage is further evidenced by the fact that two of the genes, HAO1 and BMP2, affecting medullary bone (the part of the bone that transfers calcium into developing eggshells) are located at the same locus as the gene affecting comb mass. HAO1 and BMP2 also display pleiotropic effects with commonly desired domestic chicken behavior; those chickens who express higher levels of these two genes in bone tissue produce more eggs and display less egg incubation behavior.
A 2013 study also genetically linked five psychiatric disorders, including schizophrenia and autism. The link was a single nucleotide polymorphism of two genes involved in Calcium channel with . One of these genes, CACNA1C, has been found to influence cognition. It has been associated with autism, as well as linked in studies to schizophrenia and bipolar disorder. These particular studies show clustering of these diseases within patients themselves or families. The estimated heritability of schizophrenia is 70% to 90%, therefore the pleiotropy of genes is crucial since it causes an increased risk for certain psychotic disorders and can aid psychiatric diagnosis.
Through looping in three-dimensional space, distant non-coding regulatory elements, sometimes located several megabases away from gene promoters, can physically interact with and influence the expression of specific genes. For example, there is a genetic variant located upstream of the PCDH gene clusters that play a role in brain development and has been shown to impact the expression of several protocadherin genes. These genes have been linked to schizophrenia and major depressive disorder.
Examples
Human
Albinism
Phenylketonuria (PKU)
Sickle cell anemia
Marfan syndrome
Pain susceptibility
Animals
Chickens
Pleiotropy in psychiatry
Autism and schizophrenia
Model organisms
"Mini-muscle" allele
Cellular functions and DNA repair
DNA repair proteins
See also
External links
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