The contribution of mutation and selection to multivariate quantitative genetic variance in an outbred population of Drosophila serrata

التفاصيل البيبلوغرافية
العنوان: The contribution of mutation and selection to multivariate quantitative genetic variance in an outbred population of Drosophila serrata
المؤلفون: Katrina McGuigan, Emma Hine, J. David Aguirre, Robert J. Dugand, Mark W. Blows
المصدر: Proceedings of the National Academy of Sciences. 118
بيانات النشر: Proceedings of the National Academy of Sciences, 2021.
سنة النشر: 2021
مصطلحات موضوعية: 0106 biological sciences, 0301 basic medicine, Multivariate statistics, education.field_of_study, Multidisciplinary, Population, Variance (accounting), Biology, 010603 evolutionary biology, 01 natural sciences, 03 medical and health sciences, 030104 developmental biology, Evolutionary biology, Mutation (genetic algorithm), Genetic variation, Trait, Stabilizing selection, education, Selection (genetic algorithm)
الوصف: Genetic variance is not equal for all multivariate combinations of traits. This inequality, in which some combinations of traits have abundant genetic variation while others have very little, biases the rate and direction of multivariate phenotypic evolution. However, we still understand little about what causes genetic variance to differ among trait combinations. Here, we investigate the relative roles of mutation and selection in determining the genetic variance of multivariate phenotypes. We accumulated mutations in an outbred population of Drosophila serrata and analyzed wing shape and size traits for over 35,000 flies to simultaneously estimate the additive genetic and additive mutational (co)variances. This experimental design allowed us to gain insight into the phenotypic effects of mutation as they arise and come under selection in naturally outbred populations. Multivariate phenotypes associated with more (less) genetic variance were also associated with more (less) mutational variance, suggesting that differences in mutational input contribute to differences in genetic variance. However, mutational correlations between traits were stronger than genetic correlations, and most mutational variance was associated with only one multivariate trait combination, while genetic variance was relatively more equal across multivariate traits. Therefore, selection is implicated in breaking down trait covariance and resulting in a different pattern of genetic variance among multivariate combinations of traits than that predicted by mutation and drift. Overall, while low mutational input might slow evolution of some multivariate phenotypes, stabilizing selection appears to reduce the strength of evolutionary bias introduced by pleiotropic mutation.
تدمد: 1091-6490
0027-8424
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::af9721dc9e9b003bf2038384cb97c3c1
https://doi.org/10.1073/pnas.2026217118
حقوق: OPEN
رقم الأكسشن: edsair.doi...........af9721dc9e9b003bf2038384cb97c3c1
قاعدة البيانات: OpenAIRE