Genome-enabled discovery of evolutionary divergence in brains and behavior

Abstract Lake Malawi cichlid fishes exhibit extensive divergence in form and function built from a relatively small number of genetic changes. We compared the genomes of rock- and sand-dwelling species and asked which genetic variants differed among the groups. We found that 96% of differentiated va...

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Main Authors: Chinar Patil, Jonathan B. Sylvester, Kawther Abdilleh, Michael W. Norsworthy, Karen Pottin, Milan Malinsky, Ryan F. Bloomquist, Zachary V. Johnson, Patrick T. McGrath, Jeffrey T. Streelman
Format: Article
Language:English
Published: Nature Portfolio 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-92385-8
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author Chinar Patil
Jonathan B. Sylvester
Kawther Abdilleh
Michael W. Norsworthy
Karen Pottin
Milan Malinsky
Ryan F. Bloomquist
Zachary V. Johnson
Patrick T. McGrath
Jeffrey T. Streelman
author_facet Chinar Patil
Jonathan B. Sylvester
Kawther Abdilleh
Michael W. Norsworthy
Karen Pottin
Milan Malinsky
Ryan F. Bloomquist
Zachary V. Johnson
Patrick T. McGrath
Jeffrey T. Streelman
author_sort Chinar Patil
collection DOAJ
description Abstract Lake Malawi cichlid fishes exhibit extensive divergence in form and function built from a relatively small number of genetic changes. We compared the genomes of rock- and sand-dwelling species and asked which genetic variants differed among the groups. We found that 96% of differentiated variants reside in non-coding sequence but these non-coding diverged variants are evolutionarily conserved. Genome regions near differentiated variants are enriched for craniofacial, neural and behavioral categories. Following leads from genome sequence, we used rock- vs. sand-species and their hybrids to (i) delineate the push–pull roles of BMP signaling and irx1b in the specification of forebrain territories during gastrulation and (ii) reveal striking context-dependent brain gene expression during adult social behavior. Our results demonstrate how divergent genome sequences can predict differences in key evolutionary traits. We highlight the promise of evolutionary reverse genetics—the inference of phenotypic divergence from unbiased genome sequencing and then empirical validation in natural populations.
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spelling doaj.art-46eae42d2f5b43029dbc177bba9c934c2022-12-21T20:37:00ZengNature PortfolioScientific Reports2045-23222021-06-0111111410.1038/s41598-021-92385-8Genome-enabled discovery of evolutionary divergence in brains and behaviorChinar Patil0Jonathan B. Sylvester1Kawther Abdilleh2Michael W. Norsworthy3Karen Pottin4Milan Malinsky5Ryan F. Bloomquist6Zachary V. Johnson7Patrick T. McGrath8Jeffrey T. Streelman9School of Biological Sciences and Petit Institute of Bioengineering and Bioscience, Georgia Institute of TechnologySchool of Biological Sciences and Petit Institute of Bioengineering and Bioscience, Georgia Institute of TechnologySchool of Biological Sciences and Petit Institute of Bioengineering and Bioscience, Georgia Institute of TechnologyCatalog Technologies Inc.Laboratoire de Biologie du Dévelopement (IBPS-LBD, UMR7622), CNRS, Institut de Biologie Paris Seine, Sorbonne UniversitéDepartment of Environmental Sciences, Zoological Institute, University of BaselSchool of Biological Sciences and Petit Institute of Bioengineering and Bioscience, Georgia Institute of TechnologySchool of Biological Sciences and Petit Institute of Bioengineering and Bioscience, Georgia Institute of TechnologySchool of Biological Sciences and Petit Institute of Bioengineering and Bioscience, Georgia Institute of TechnologySchool of Biological Sciences and Petit Institute of Bioengineering and Bioscience, Georgia Institute of TechnologyAbstract Lake Malawi cichlid fishes exhibit extensive divergence in form and function built from a relatively small number of genetic changes. We compared the genomes of rock- and sand-dwelling species and asked which genetic variants differed among the groups. We found that 96% of differentiated variants reside in non-coding sequence but these non-coding diverged variants are evolutionarily conserved. Genome regions near differentiated variants are enriched for craniofacial, neural and behavioral categories. Following leads from genome sequence, we used rock- vs. sand-species and their hybrids to (i) delineate the push–pull roles of BMP signaling and irx1b in the specification of forebrain territories during gastrulation and (ii) reveal striking context-dependent brain gene expression during adult social behavior. Our results demonstrate how divergent genome sequences can predict differences in key evolutionary traits. We highlight the promise of evolutionary reverse genetics—the inference of phenotypic divergence from unbiased genome sequencing and then empirical validation in natural populations.https://doi.org/10.1038/s41598-021-92385-8
spellingShingle Chinar Patil
Jonathan B. Sylvester
Kawther Abdilleh
Michael W. Norsworthy
Karen Pottin
Milan Malinsky
Ryan F. Bloomquist
Zachary V. Johnson
Patrick T. McGrath
Jeffrey T. Streelman
Genome-enabled discovery of evolutionary divergence in brains and behavior
Scientific Reports
title Genome-enabled discovery of evolutionary divergence in brains and behavior
title_full Genome-enabled discovery of evolutionary divergence in brains and behavior
title_fullStr Genome-enabled discovery of evolutionary divergence in brains and behavior
title_full_unstemmed Genome-enabled discovery of evolutionary divergence in brains and behavior
title_short Genome-enabled discovery of evolutionary divergence in brains and behavior
title_sort genome enabled discovery of evolutionary divergence in brains and behavior
url https://doi.org/10.1038/s41598-021-92385-8
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