Evo-Devo-EpiR: a genome-wide search platform for epistatic control on the evolution of development

Libo Jiang, Miaomiao Zhang, Mengmeng Sang, Meixia Ye, Rongling Wu

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)754-760
Number of pages7
JournalBriefings in bioinformatics
Volume18
Issue number5
DOIs
StatePublished - Sep 1 2017

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Molecular Biology

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