title: Genepleio software for effective estimation of gene pleiotropy from protein sequences.
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.
authors: College of Mathematics & Information Science, Wenzhou University, Wenzhou, China ; State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.
authors: Wenhai
authors: W
authors: Chen
authors: State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.
authors: Dandan
authors: D
authors: Chen
authors: College of Life & Environmental Science, Wenzhou University, Wenzhou 325035, China.
authors: Ming
authors: M
authors: Zhao
authors: State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.
authors: Yangyun
authors: Y
authors: Zou
authors: State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China ; Shanghai Stem Cell Institute, Institutes of Medical Sciences, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
authors: Yanwu
authors: Y
authors: Zeng
authors: State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China ; Department of Genetics, Developmental and Cell Biology, Iowa State University, Ames, IA 50011, USA.
authors: Xun
authors: 0000-0002-6492-8348
authors: X
authors: Gu
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D003198:Computer Simulation; D030541:Databases, Genetic; D058685:Genetic Pleiotropy; D006801:Humans; D011506:Proteins / Q000737:chemistry*; D012984:Software
chemical_list: D011506:Proteins
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