2019
DOI: 10.1101/820068
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Collateral fitness effects of mutations

Abstract: AbstractThe distribution of fitness effects (DFE) of mutation plays a central role in constraining protein evolution. The underlying mechanisms by which mutations lead to fitness effects are typically attributed to changes in protein specific activity or abundance. Here, we reveal the importance of a mutation’s collateral fitness effects, which we define as effects that do not derive from changes in the protein’s ability to perform its physiological function. We comprehensively… Show more

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Cited by 9 publications
(37 citation statements)
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“…This is a challenging problem as the possible number of phenotypes one can measure is effectively infinite, e.g. the expression level of every gene or the quantity of every metabolite (Coombes et al, 2019;Mehlhoff et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…This is a challenging problem as the possible number of phenotypes one can measure is effectively infinite, e.g. the expression level of every gene or the quantity of every metabolite (Coombes et al, 2019;Mehlhoff et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Do these small-effect mutations show the same characteristics as those classical large-effect mutations? A study in E. coli showd that mutations with small effect on fitness tend to be deleterious to protein function 4 . However, how mutations affect complex traits such as body size, health and fertility is unknown.…”
Section: Introductionmentioning
confidence: 99%
“…We expand the analysis of mutant allele frequency to additional breeds of ancient and modern cattle from the 1000 Bull Genomes database 21,22 , which provides validation of our results. Additional analyses of MAs with strong effects on milk production traits 23,24 suggests that the direction of phenotypic effects of these MAs correlates with their direction of effects on the expression of genes in milk cells 4,25 .…”
Section: Introductionmentioning
confidence: 99%
“…Our current knowledge regarding the evolution of bacterial antibiotic resistance mainly comes from clinical, microbiological and biochemical studies that are performed under highly controlled conditions (Elena and Lenski, 2003;Weinreich et al, 2006;MacLean et al, 2010;Palmer and Kishony, 2013;Baym et al, 2016;Boolchandani et al, 2019;Card et al, 2021). Collectively, we have learned that the emergence and evolution of antibiotic resistance, one of the greatest challenges to our civilization, is a far more complex phenomenon; few studies exist that offer insights into "real-world" scenarios that adequately or completely explain evolutionary trajectories that shape existing phenotypes (Bershtein et al, 2006;Meini et al, 2015;Stiffler et al, 2015;Prickett et al, 2017;Frimodt-Møller et al, 2018;Andersson et al, 2020;Mehlhoff et al, 2020).…”
Section: Introductionmentioning
confidence: 99%