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Direct estimates of evolutionary parameters via quantitative trait loci analysis

Grant number: 14/26262-4
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): April 01, 2015
Effective date (End): March 01, 2019
Field of knowledge:Biological Sciences - Genetics - Quantitative Genetics
Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal Investigator:Gabriel Henrique Marroig Zambonato
Grantee:Diogo Amaral Reboucas Melo
Home Institution: Instituto de Biociências (IB). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:11/14295-7 - Modularity and its evolutionary consequences, AP.TEM
Associated scholarship(s):15/21811-2 - Direct estimates of evolutionary parameters via QTL analysis, BE.EP.DR

Abstract

Quantitative genetics is the study of the natural variation and evolution of quantitative traits. The relation between traits isfundamental for the understanding of phenotypic diversification and the interaction of populations with their environment. The structure of relations between many continuously varying traits is expressed in their additive genetic covariance matrix. These genetic relations are in large part the result of pleiotropic and epistatic interactions between genes that influence many traits at the same time. While theoretical models provide us with a strong framework for understanding pleiotropy, there is a lack of empirical studies on the subject. In this project, we will investigate the evolution of pleiotropic relations on grow thrates, using artificially selected mice strains and quantitative traitloci detection. We will also use these experimental results to estimate parameters for individual based models of phenotypic evolution. (AU)

Scientific publications (6)
(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)
MACHADO, FABIO A.; HUBBE, ALEX; MELO, DIOGO; PORTO, ARTHUR; MARROIG, GABRIEL. Measuring the magnitude of morphological integration: The effect of differences in morphometric representations and the inclusion of size. Evolution, OCT 2019. Web of Science Citations: 1.
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.
PENNA, ANNA; MELO, DIOGO; BERNARDI, SANDRA; OYARZABAL, MARIA INES; MARROIG, GABRIEL. The evolution of phenotypic integration: How directional selection reshapes covariation in mice. Evolution, v. 71, n. 10, p. 2370-2380, OCT 2017. Web of Science Citations: 9.
IMENEZ SILVA, PEDRO HENRIQUE; MELO, DIOGO; RIBEIRO DE MENDONCA, PEDRO OMORI. Insights from Systems Biology in Physiological Studies: Learning from Context. CELLULAR PHYSIOLOGY AND BIOCHEMISTRY, v. 42, n. 3, p. 939-951, 2017. Web of Science Citations: 1.
COSTA, THAIANY M.; HEBETS, EILEEN A.; MELO, DIOGO; WILLEMART, RODRIGO H. Costly learning: preference for familiar food persists despite negative impact on survival. BIOLOGY LETTERS, v. 12, n. 7 JUL 2016. Web of Science Citations: 2.
HUBBE, ALEX; MELO, DIOGO; MARROIG, GABRIEL. A case study of extant and extinct Xenarthra cranium covariance structure: implications and applications to paleontology. PALEOBIOLOGY, v. 42, n. 3, p. 465-488, SUM 2016. Web of Science Citations: 3.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.