TY - JOUR
T1 - Evo-Devo-EpiR
T2 - A genome-wide search platform for epistatic control on the evolution of development
AU - Jiang, Libo
AU - Zhang, Miaomiao
AU - Sang, Mengmeng
AU - Ye, Meixia
AU - Wu, Rongling
N1 - Funding Information:
The same pattern of sex-dependent difference in the form of mass growth was observed in the second cross (Supplementary Results: Biological Validation). Generally speaking, results from the first cross by Evo-Devo-EpiR were supported by those from
Publisher Copyright:
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: [email protected]
PY - 2017
Y1 - 2017
N2 - Evo-devo is a theory proposed to study how phenotypes evolve by comparing the developmental processes of different organisms or the same organism experiencing changing environments. It has been recognized that nonallelic interactions at different genes or quantitative trait loci, known as epistasis, may play a pivotal role in the evolution of development, but it has proven difficult to quantify and elucidate this role into a coherent picture. We implement a high-dimensional genome-wide association study model into the evo-devo paradigm and pack it into the R-based Evo-Devo-EpiR, aimed at facilitating the genome-wide landscaping of epistasis for the diversification of phenotypic development. By analyzing a high-throughput assay of DNA markers and their pairs simultaneously, Evo-Devo-EpiR is equipped with a capacity to systematically characterize various epistatic interactions that impact on the pattern and timing of development and its evolution. Enabling a global search for all possible genetic interactions for developmental processes throughout the whole genome, Evo-Devo-EpiR provides a computational tool to illustrate a precise genotype-phenotype map at interface between epistasis, development and evolution.
AB - Evo-devo is a theory proposed to study how phenotypes evolve by comparing the developmental processes of different organisms or the same organism experiencing changing environments. It has been recognized that nonallelic interactions at different genes or quantitative trait loci, known as epistasis, may play a pivotal role in the evolution of development, but it has proven difficult to quantify and elucidate this role into a coherent picture. We implement a high-dimensional genome-wide association study model into the evo-devo paradigm and pack it into the R-based Evo-Devo-EpiR, aimed at facilitating the genome-wide landscaping of epistasis for the diversification of phenotypic development. By analyzing a high-throughput assay of DNA markers and their pairs simultaneously, Evo-Devo-EpiR is equipped with a capacity to systematically characterize various epistatic interactions that impact on the pattern and timing of development and its evolution. Enabling a global search for all possible genetic interactions for developmental processes throughout the whole genome, Evo-Devo-EpiR provides a computational tool to illustrate a precise genotype-phenotype map at interface between epistasis, development and evolution.
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U2 - 10.1093/bib/bbw062
DO - 10.1093/bib/bbw062
M3 - Article
C2 - 27473062
AN - SCOPUS:85038130031
SN - 1467-5463
VL - 18
SP - 754
EP - 760
JO - Briefings in bioinformatics
JF - Briefings in bioinformatics
IS - 5
ER -