4.5 Article

Evolution of regulatory networks associated with traits under selection in cichlids

期刊

GENOME BIOLOGY
卷 22, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13059-020-02208-8

关键词

Gene regulatory network; Co-expression; Cichlid; Opsin; Molecular evolution

资金

  1. Biotechnological and Biosciences Research Council (BBSRC) at the Earlham Institute [BB/J004669/1, BB/P016774/1, BBS/E/T/000PR9817, BB/CSP17270/1]
  2. BBSRC, UK [BB/P016774/1, BB/J004529/1]
  3. BBSRC Norwich Research Park Biosciences Doctoral Training Partnership [BB/M011216/1]
  4. National Science Foundation (NSF) [DBI: 1350677]
  5. McDonnell foundation at The Wisconsin Institute for Discovery
  6. computational biology at Earlham Institute (Norwich, UK)
  7. Quadram Institute (Norwich, UK)
  8. BBSRC [1799901, BBS/E/T/000PR9817, BBS/E/T/000PR9819, BBS/E/F/00044500, BBS/E/T/000PR9818, BBS/E/T/000PR5885] Funding Source: UKRI

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This study developed a novel computational pipeline to predict regulators in co-expressed modules across cichlid species, revealing network rewiring in the visual system. Mutations in regulatory regions of visual opsin genes were found to disrupt regulatory edges across species, segregating according to phylogeny and ecology, indicating GRN rewiring in radiating cichlids.
BackgroundSeminal studies of vertebrate protein evolution speculated that gene regulatory changes can drive anatomical innovations. However, very little is known about gene regulatory network (GRN) evolution associated with phenotypic effect across ecologically diverse species. Here we use a novel approach for comparative GRN analysis in vertebrate species to study GRN evolution in representative species of the most striking examples of adaptive radiations, the East African cichlids. We previously demonstrated how the explosive phenotypic diversification of East African cichlids can be attributed to diverse molecular mechanisms, including accelerated regulatory sequence evolution and gene expression divergence.ResultsTo investigate these mechanisms across species at a genome-wide scale, we develop a novel computational pipeline that predicts regulators for co-extant and ancestral co-expression modules along a phylogeny, and candidate regulatory regions associated with traits under selection in cichlids. As a case study, we apply our approach to a well-studied adaptive trait-the visual system-for which we report striking cases of network rewiring for visual opsin genes, identify discrete regulatory variants, and investigate their association with cichlid visual system evolution. In regulatory regions of visual opsin genes, in vitro assays confirm that transcription factor binding site mutations disrupt regulatory edges across species and segregate according to lake species phylogeny and ecology, suggesting GRN rewiring in radiating cichlids.ConclusionsOur approach reveals numerous novel potential candidate regulators and regulatory regions across cichlid genomes, including some novel and some previously reported associations to known adaptive evolutionary traits.

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