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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Genomic Perspective on Multivariate Variation, Pleiotropy, and Evolution

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Autor(es):
Melo, Diogo [1] ; Marroig, Gabriel [1] ; Wolf, Jason B. [2]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Biociencias, Dept Genet & Biol Evolut, Sao Paulo, SP - Brazil
[2] Univ Bath, Dept Biol & Biochem, Milner Ctr Evolut, Bath BA2 7AY, Avon - England
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF HEREDITY; v. 110, n. 4, SI, p. 479-493, JUN 2019.
Citações Web of Science: 0
Resumo

Multivariate quantitative genetics provides a powerful framework for understanding patterns and processes of phenotypic evolution. Quantitative genetics parameters, like trait heritability or the G-matrix for sets of traits, can be used to predict evolutionary response or to understand the evolutionary history of a population. These population-level approaches have proven to be extremely successful, but the underlying genetics of multivariate variation and evolutionary change typically remain a black box. Establishing a deeper empirical understanding of how individual genetic effects lead to genetic (co)variation is then crucial to our understanding of the evolutionary process. To delve into this black box, we exploit an experimental population of mice composed from lineages derived by artificial selection. We develop an approach to estimate the multivariate effect of loci and characterize these vectors of effects in terms of their magnitude and alignment with the direction of evolutionary divergence. Using these estimates, we reconstruct the traits in the ancestral populations and quantify how much of the divergence is due to genetic effects. Finally, we also use these vectors to decompose patterns of genetic covariation and examine the relationship between these components and the corresponding distribution of pleiotropic effects. We find that additive effects are much larger than dominance effects and are more closely aligned with the direction of selection and divergence, with larger effects being more aligned than smaller effects. Pleiotropic effects are highly variable but are, on average, modular. These results are consistent with pleiotropy being partly shaped by selection while reflecting underlying developmental constraints. (AU)

Processo FAPESP: 15/21811-2 - Estimativas diretas de parâmetros evolutivos via análise de QTL
Beneficiário:Diogo Amaral Reboucas Melo
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
Processo FAPESP: 11/14295-7 - Modularidade e suas consequências evolutivas
Beneficiário:Gabriel Henrique Marroig Zambonato
Linha de fomento: Auxílio à Pesquisa - Temático
Processo FAPESP: 14/26262-4 - Estimativas diretas de parâmetros evolutivos via análise de loci de traços quantitativos
Beneficiário:Diogo Amaral Reboucas Melo
Linha de fomento: Bolsas no Brasil - Doutorado
Processo FAPESP: 13/50402-8 - The genetic architecture and evolution of pleiotropy associated with evolutionary changes in developmental trajetories
Beneficiário:Gabriel Henrique Marroig Zambonato
Linha de fomento: Auxílio à Pesquisa - Regular