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Genepleio Software for Effective Estimation of Gene Pleiotropy from Protein Sequences

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 p...

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Detalles Bibliográficos
Autores principales: Chen, Wenhai, Chen, Dandan, Zhao, Ming, Zou, Yangyun, Zeng, Yanwu, Gu, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299487/
https://www.ncbi.nlm.nih.gov/pubmed/25629041
http://dx.doi.org/10.1155/2015/269150
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author Chen, Wenhai
Chen, Dandan
Zhao, Ming
Zou, Yangyun
Zeng, Yanwu
Gu, Xun
author_facet Chen, Wenhai
Chen, Dandan
Zhao, Ming
Zou, Yangyun
Zeng, Yanwu
Gu, Xun
author_sort Chen, Wenhai
collection PubMed
description 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.
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spelling pubmed-42994872015-01-27 Genepleio Software for Effective Estimation of Gene Pleiotropy from Protein Sequences Chen, Wenhai Chen, Dandan Zhao, Ming Zou, Yangyun Zeng, Yanwu Gu, Xun Biomed Res Int Research Article 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. Hindawi Publishing Corporation 2015 2015-01-05 /pmc/articles/PMC4299487/ /pubmed/25629041 http://dx.doi.org/10.1155/2015/269150 Text en Copyright © 2015 Wenhai Chen et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Wenhai
Chen, Dandan
Zhao, Ming
Zou, Yangyun
Zeng, Yanwu
Gu, Xun
Genepleio Software for Effective Estimation of Gene Pleiotropy from Protein Sequences
title Genepleio Software for Effective Estimation of Gene Pleiotropy from Protein Sequences
title_full Genepleio Software for Effective Estimation of Gene Pleiotropy from Protein Sequences
title_fullStr Genepleio Software for Effective Estimation of Gene Pleiotropy from Protein Sequences
title_full_unstemmed Genepleio Software for Effective Estimation of Gene Pleiotropy from Protein Sequences
title_short Genepleio Software for Effective Estimation of Gene Pleiotropy from Protein Sequences
title_sort genepleio software for effective estimation of gene pleiotropy from protein sequences
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299487/
https://www.ncbi.nlm.nih.gov/pubmed/25629041
http://dx.doi.org/10.1155/2015/269150
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