2020
DOI: 10.1016/j.tree.2020.04.009
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The Importance of Genetic Redundancy in Evolution

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Cited by 115 publications
(114 citation statements)
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References 61 publications
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“…Driven by genetic drift and guided by selection, many GRNs that satisfied the same viability function were sorted into parallel lineages, whereas mixing edges between them can lead to fatal pathways and inviable offspring. These results highlight the importance of "functional redundancy" in evolution (Nowak et al, 1997;Láruson et al, 2020) and agree with earlier studies that suggested alternative regulatory structures can achieve the same phenotype (True and Haag, 2001;Wagner and Wright, 2007;Schiffman and Ralph, 2018;Tkačik and Walczak, 2011). Indeed, both theoretical and empirical studies increasingly support the role of parallel trajectories through fitness landscapes in evolution (Elmer and Meyer, 2011;Bank et al, 2016;Ogbunugafor and Eppstein, 2016;Langerhans, 2018).…”
Section: Discussionsupporting
confidence: 89%
See 1 more Smart Citation
“…Driven by genetic drift and guided by selection, many GRNs that satisfied the same viability function were sorted into parallel lineages, whereas mixing edges between them can lead to fatal pathways and inviable offspring. These results highlight the importance of "functional redundancy" in evolution (Nowak et al, 1997;Láruson et al, 2020) and agree with earlier studies that suggested alternative regulatory structures can achieve the same phenotype (True and Haag, 2001;Wagner and Wright, 2007;Schiffman and Ralph, 2018;Tkačik and Walczak, 2011). Indeed, both theoretical and empirical studies increasingly support the role of parallel trajectories through fitness landscapes in evolution (Elmer and Meyer, 2011;Bank et al, 2016;Ogbunugafor and Eppstein, 2016;Langerhans, 2018).…”
Section: Discussionsupporting
confidence: 89%
“…Our pathway framework not only resonates with existing studies of the functional redundancy of GRNs (True and Haag, 2001;Wagner and Wright, 2007;Schiffman and Ralph, 2018;Láruson et al, 2020), but it also estimates how many GRNs generate a given phenotype under the Boolean-state assumption. Here we consider an extreme case where every protein is either required present or absent, except those that are stimulated by the environment.…”
Section: S2 Estimating Functional Redundancy Of Grns Under Extreme Sesupporting
confidence: 53%
“…In the case of plastic polygenic traits, the magnitude of response of individual genes may be relatively small and, therefore, not detectable via differential expression analysis. In the case of redundant genetic architecture, theory predicts that high genetic redundancy in a population occurs when individuals can reach a phenotypic outcome by a wide range of genes and pathways (see topic reviewed in Láruson et al, 2020) , which could result in very large residual error and limited statistical power to detect differences amongst treatment (i.e., lack of a clear significant response because every individual does something different to achieve the same phenotype).…”
Section: Subtle Shifts and Constraintsmentioning
confidence: 99%
“…Theory suggests that the number of genotypes that, at a given time, segregate in a population and are phenotypically redundant, so called segregating redundancy, is a critical parameter governing both the predictability of evolution (18,19) and the consequences of locally heterogenous selection for maintaining different adaptive phenotypes (20). The level of segregating (genotypic) redundancy determines the intensity of selection on individual alleles.…”
Section: Introductionmentioning
confidence: 99%
“…Higher redundancy (several different genotypes can produce the same phenotype) makes it more difficult to either fix or eliminate individual alleles compared to situations where alternative phenotypes are determined by one or a few genotypes. Redundancy may also help maintain phenotypic differentiation in the face of high gene-flow, as several genotypes producing the same adapted phenotype can contribute to withstand swamping due to the immigration of divergent alleles (20).…”
Section: Introductionmentioning
confidence: 99%