Evolvability, Sexual Selection, and Mating Strategies DOI Open Access
Jacqueline L. Sztepanacz, Josselin Clo, Øystein H. Opedal

et al.

The MIT Press eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 239 - 266

Published: June 27, 2023

This chapter considers how variation in mating systems affects evolvability populations and we should estimate it.Most models considered evolutionary quantitative ge ne tics assume random identical across sexes.In this chapter, discuss some ways which leads to a violation of these assumptions, what means for evolvability.We focus on two major axes system variation: outcrossing rate reproductive success.We pre sent population tic theory specific review the empirical evidence support hypotheses put forth.

Language: Английский

Complexity, Evolvability, and the Process of Adaptation DOI
David Houle, Daniela M. Rossoni

Annual Review of Ecology Evolution and Systematics, Journal Year: 2022, Volume and Issue: 53(1), P. 137 - 159

Published: July 25, 2022

There is a widespread view that the process of adaptation in complex systems made difficult due to an evolutionary cost complexity reflected lower evolvability. This line reasoning suggests organisms must have special properties overcome this cost, such as integration, modularity, and robustness, reduction rate evolution variational constraints could help explain why might not respond selection. Here, we discuss issues arise from conviction highlight alternative where represents opportunity by increasing potential population. We lack evidence supporting influence on Empirical data patterns contemporary selection are critical for understanding relationship.

Language: Английский

Citations

13

Evolvability and constraint in the evolution of three‐dimensional flower morphology DOI Creative Commons
Øystein H. Opedal, Laura S Hildesheim, W. Scott Armbruster

et al.

American Journal of Botany, Journal Year: 2022, Volume and Issue: 109(11), P. 1906 - 1917

Published: Nov. 1, 2022

Abstract Premise Flower phenotypes evolve to attract pollinators and ensure efficient pollen transfer from the bodies of or, in self‐compatible bisexual flowers, between anthers stigmas. If functionally interacting traits are genetically correlated, response selection may be subject genetic constraints. Genetic constraints can assessed by quantifying standing variation (multivariate) phenotypic asking how much available is reduced under specific assumptions about on correlated traits. Methods We evaluated multivariate evolvability potential underlying evolution three‐dimensional structure Dalechampia blossoms. First, we used data a greenhouse crossing design estimate G matrix for representing relative positions male female sexual organs (anthers stigmas) ask distributed space. To assess evolutionary importance constraints, related across space divergence population species same directions. Results Evolvabilities varied substantially phenotype space, suggesting that certain or trait combinations strong constraint. Traits involved flower‐pollinator fit autonomous selfing exhibited considerable independent potential, but tended occur directions associated with greater‐than‐average evolvability. Conclusions These results consistent hypothesis hamper joint towards optimum self‐pollination rates.

Language: Английский

Citations

13

Variation in phenotypic plasticity across age‐at‐maturity genotypes in wild Atlantic salmon DOI Creative Commons
Astrid Raunsgård,

Lo Persson,

Yann Czorlich

et al.

Molecular Ecology, Journal Year: 2023, Volume and Issue: 33(3)

Published: Dec. 8, 2023

Abstract Evolution of phenotypic plasticity requires genotype–environment interaction. The discovery two large‐effect loci in the vgll3 and six6 genomic regions associated with number years Atlantic salmon spend feeding at sea before maturation (sea age), provides a unique opportunity to study evolutionary potential plasticity. Using data on 1246 caught River Surna Norway, we show that variation mean age among (smolt cohorts 2013–2018) is influenced by genotype frequencies as well interaction effects between year. Genotype–year interactions suggest genotypes may differ their response environmental across years, implying genetic Our results also imply will evolve an indirect selection due shared basis. Furthermore, demonstrate differences additive dominance functional age, suggesting responses vary environments. Considering importance maturity for survival reproduction, likely play important role local adaptation population demography salmon.

Language: Английский

Citations

6

A History of Evolvability: Reconstructing and Explaining the Origination of a Research Agenda DOI Open Access
Laura Nuño de la Rosa

The MIT Press eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 11 - 34

Published: June 27, 2023

This is one of the main reasons why most practicing scientists don't end up working on things that are fundamental: Because they know history things.-Russ Lande chapter addresses origination evolvability research with aim contributing more generally to reconstruction and explanation recent evolutionary biology.I combine co-citation analy sis first-person reconstructions field obtained from a series interviews biologists who were and/or currently active in studies.After preliminary methodological reflection, I pre sent multiple origins research.In last section chapter, make use cultural evolution theory discuss two kinds explanations might account for this pattern: "Selectionist" highlight aspects intellectual landscape promoted acceptability diffusion perspective; "evolvability" address role internal, theoretical developments involved diversification research.Although selectionist have been largely explored, internal factors accounting scientific concepts theories remain relatively neglected.I argue explaining perspective provides promising insights our understanding science dynamics.

Language: Английский

Citations

5

Evolvability, Sexual Selection, and Mating Strategies DOI Open Access
Jacqueline L. Sztepanacz, Josselin Clo, Øystein H. Opedal

et al.

The MIT Press eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 239 - 266

Published: June 27, 2023

This chapter considers how variation in mating systems affects evolvability populations and we should estimate it.Most models considered evolutionary quantitative ge ne tics assume random identical across sexes.In this chapter, discuss some ways which leads to a violation of these assumptions, what means for evolvability.We focus on two major axes system variation: outcrossing rate reproductive success.We pre sent population tic theory specific review the empirical evidence support hypotheses put forth.

Language: Английский

Citations

5