Carl J. Saltzberg, Laura I. Walker, Lee E. Chipps-Walton, Bárbara M. A. Costa, Ángel E. Spotorno, Scott J. Steppan
{"title":"Comparative Quantitative Genetics of the Pelvis in Four-Species of Rodents and the Conservation of Genetic Covariance and Correlation Structure","authors":"Carl J. Saltzberg, Laura I. Walker, Lee E. Chipps-Walton, Bárbara M. A. Costa, Ángel E. Spotorno, Scott J. Steppan","doi":"10.1007/s11692-022-09559-z","DOIUrl":null,"url":null,"abstract":"<p>Quantitative genetics is a powerful tool for predicting phenotypic evolution on a microevolutionary scale. This predictive power primarily comes from the Lande equation (Δ<b>z̅</b> = <b>Gβ</b>), a multivariate expansion of the breeder’s equation, where phenotypic change (Δ<b>z̅</b>) is predicted from the genetic covariances (<b>G</b>) and selection (<b>β</b>). Typically restricted to generational change, evolutionary biologists have proposed that quantitative genetics could bridge micro- and macroevolutionary patterns if predictions were expanded to longer timescales. While mathematically possible, making quantitative genetic predictions across generations or species is contentiously debated, principally in assuming long-term stability of the <b>G</b>-matrix. Here we tested stability at a macroevolutionary timescale by conducting full- and half-sib breeding programs in two species of sigmodontine rodents from South America, the leaf-eared mice <i>Phyllotis vaccarum</i> and <i>P. darwini</i> and estimated the <b>G</b>-matrices for eight pelvic traits. To expand our phylogenetic breadth, we incorporated two additional <b>G</b>-matrices measured for the same traits from Kohn & Atchley’s 1988 study of the murine rodents <i>Mus musculus</i> and <i>Rattus norvegicus</i>. Using a phylogenetic comparative framework and four separate metrics of matrix divergence or similarity, we found no significant association between evolutionary divergence among species <b>G</b>-matrices and time, supporting the assumption of stability for at least some structures. However, the phylogenetic sample size is necessarily small. We suggest that small fluctuations in covariance structure can occur rapidly, but underlying developmental regulation prevents significant divergence at macroevolutionary scales, analogous to an Ornstein–Uhlenbeck pattern. Expanded taxonomic sampling will be needed to test this suggestion.</p>","PeriodicalId":50471,"journal":{"name":"Evolutionary Biology","volume":"10 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evolutionary Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s11692-022-09559-z","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
引用次数: 3
Abstract
Quantitative genetics is a powerful tool for predicting phenotypic evolution on a microevolutionary scale. This predictive power primarily comes from the Lande equation (Δz̅ = Gβ), a multivariate expansion of the breeder’s equation, where phenotypic change (Δz̅) is predicted from the genetic covariances (G) and selection (β). Typically restricted to generational change, evolutionary biologists have proposed that quantitative genetics could bridge micro- and macroevolutionary patterns if predictions were expanded to longer timescales. While mathematically possible, making quantitative genetic predictions across generations or species is contentiously debated, principally in assuming long-term stability of the G-matrix. Here we tested stability at a macroevolutionary timescale by conducting full- and half-sib breeding programs in two species of sigmodontine rodents from South America, the leaf-eared mice Phyllotis vaccarum and P. darwini and estimated the G-matrices for eight pelvic traits. To expand our phylogenetic breadth, we incorporated two additional G-matrices measured for the same traits from Kohn & Atchley’s 1988 study of the murine rodents Mus musculus and Rattus norvegicus. Using a phylogenetic comparative framework and four separate metrics of matrix divergence or similarity, we found no significant association between evolutionary divergence among species G-matrices and time, supporting the assumption of stability for at least some structures. However, the phylogenetic sample size is necessarily small. We suggest that small fluctuations in covariance structure can occur rapidly, but underlying developmental regulation prevents significant divergence at macroevolutionary scales, analogous to an Ornstein–Uhlenbeck pattern. Expanded taxonomic sampling will be needed to test this suggestion.
期刊介绍:
The aim, scope, and format of Evolutionary Biology will be based on the following principles:
Evolutionary Biology will publish original articles and reviews that address issues and subjects of core concern in evolutionary biology. All papers must make original contributions to our understanding of the evolutionary process.
The journal will remain true to the original intent of the original series to provide a place for broad syntheses in evolutionary biology. Articles will contribute to this goal by defining the direction of current and future research and by building conceptual links between disciplines. In articles presenting an empirical analysis, the results of these analyses must be integrated within a broader evolutionary framework.
Authors are encouraged to submit papers presenting novel conceptual frameworks or major challenges to accepted ideas.
While brevity is encouraged, there is no formal restriction on length for major articles.
The journal aims to keep the time between original submission and appearance online to within four months and will encourage authors to revise rapidly once a paper has been submitted and deemed acceptable.