GenepleioSoftware for Effective Estimation of Gene Pleiotropy from Protein Sequences

Author:

Chen Wenhai12,Chen Dandan2,Zhao Ming3,Zou Yangyun2,Zeng Yanwu24,Gu Xun25ORCID

Affiliation:

1. College of Mathematics & Information Science, Wenzhou University, Wenzhou, China

2. State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China

3. College of Life & Environmental Science, Wenzhou University, Wenzhou 325035, China

4. Shanghai Stem Cell Institute, Institutes of Medical Sciences, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China

5. Department of Genetics, Developmental and Cell Biology, Iowa State University, Ames, IA 50011, USA

Abstract

Though pleiotropy, which refers to the phenomenon of a gene affecting multiple traits, has long played a central role in genetics, development, and evolution, estimation of the number of pleiotropy components remains a hard mission to accomplish. In this paper, we report a newly developed software package,Genepleio,to estimate the effective gene pleiotropy from phylogenetic analysis of protein sequences. Since this estimate can be interpreted as the minimum pleiotropy of a gene, it is used to play a role of reference for many empirical pleiotropy measures. This work would facilitate our understanding of how gene pleiotropy affects the pattern of genotype-phenotype map and the consequence of organismal evolution.

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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