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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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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. |
format | Online Article Text |
id | pubmed-4299487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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