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The genetic architecture and evolution of pleiotropy associated with evolutionary changes in developmental trajetories

Grant number: 13/50402-8
Support type:Regular Research Grants
Duration: February 01, 2015 - January 31, 2019
Field of knowledge:Biological Sciences - Genetics - Quantitative Genetics
Cooperation agreement: BBSRC, UKRI
Principal researcher:Gabriel Henrique Marroig Zambonato
Grantee:Gabriel Henrique Marroig Zambonato
Principal researcher abroad: Jason Barry Wolf
Institution abroad: University of Bath, England
Home Institution: Instituto de Biociências (IB). Universidade de São Paulo (USP). São Paulo , SP, Brazil


Individuals are composed of suites of traits that arise from a common genome through shared developmental processes that together determine their fitness. Consequently, fundamental to our understanding of the genetic basis and evolution of complex traits is the concept of pleiotropy, where a single gene affects the expression of multiple traits. Although patterns of pleiotropy have important genetic and evolutionary implications, we have a limited understanding of their genomic basis and evolution. We propose to advance our understanding of pleiotropy using an experimental system in which multivariate selection has been used to reshape patterns of growth and development in mice. By focusing on developmental traits we will also further our understanding of the relationship between the traits produced by the developmental system. To achieve our goals we will apply cutting edge computational tools in an experimental population created by intercrossing mouse strains with highly divergent ontogenies. Using these tools we will map molecular variation to multidimensional phenotypic variation to achieve the following objectives. 1) Characterize the patterns of pleiotropic effects that contributed to multivariate evolution 2) Examine whether pleiotropic effects constrained the patterns of genetic variation 3) Determine the role that context-dependent pleiotropic effects played in shaping patterns of multivariate evolution 4) Determine the contribution of maternal effects to patterns of pleiotropy 5) Understand how ontogenetic changes impact patterns of pleiotropy among adult traits, 6) Determine the contribution of genomic imprinting to patterns of pleiotropy. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MELO, DIOGO; MARROIG, GABRIEL; WOLF, JASON B. Genomic Perspective on Multivariate Variation, Pleiotropy, and Evolution. JOURNAL OF HEREDITY, v. 110, n. 4, SI, p. 479-493, JUN 2019. Web of Science Citations: 0.

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