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      Genetic basis of brain size evolution in cetaceans: insights from adaptive evolution of seven primary microcephaly ( MCPH) genes

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          Abstract

          Background

          Cetacean brain size expansion is an enigmatic event in mammalian evolution, yet its genetic basis remains poorly explored. Here, all exons of the seven primary microcephaly ( MCPH) genes that play key roles in size regulation during brain development were investigated in representative cetacean lineages.

          Results

          Sequences of MCPH2–7 genes were intact in cetaceans but frameshift mutations and stop codons was identified in MCPH1. Extensive positive selection was identified in four of six intact MCPH genes: WDR62, CDK5RAP2, CEP152, and ASPM. Specially, positive selection at CDK5RAP2 and ASPM were examined along lineages of odontocetes with increased encephalization quotients (EQ) and mysticetes with reduced EQ but at WDR62 only found along odontocete lineages. Interestingly, a positive association between evolutionary rate (ω) and EQ was identified for CDK5RAP2 and ASPM. Furthermore, we tested the binding affinities between Calmodulin (CaM) and ASPM IQ motif in cetaceans because only CaM combined with IQ, can ASPM perform the function in determining brain size. Preliminary function assay showed binding affinities between CaM and IQ motif of the odontocetes with increased EQ was stronger than for the mysticetes with decreased EQ. In addition, evolution rate of ASPM and CDK5RAP2 were significantly related to mean group size (as one measure of social complexity).

          Conclusions

          Our study investigated the genetic basis of cetacean brain size evolution. Significant positive selection was examined along lineages with both increased and decreased EQ at CDK5RAP2 and ASPM, which is well matched with cetacean complex brain size evolution. Evolutionary rate of CDK5RAP2 and ASPM were significantly related to EQ, suggesting that these two genes may have contributed to EQ expansion in cetaceans. This suggestion was further indicated by our preliminary function test that ASPM might be mainly linked to evolutionary increases in EQ. Most strikingly, our results suggested that cetaceans evolved large brains to manage complex social systems, consisting with the ‘social brain hypothesis’, as evolutionary rate of ASPM and CDK5RAP2 were significantly related to mean group size.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12862-017-1051-7) contains supplementary material, which is available to authorized users.

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          Most cited references42

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          Codon-substitution models for heterogeneous selection pressure at amino acid sites.

          Comparison of relative fixation rates of synonymous (silent) and nonsynonymous (amino acid-altering) mutations provides a means for understanding the mechanisms of molecular sequence evolution. The nonsynonymous/synonymous rate ratio (omega = d(N)d(S)) is an important indicator of selective pressure at the protein level, with omega = 1 meaning neutral mutations, omega 1 diversifying positive selection. Amino acid sites in a protein are expected to be under different selective pressures and have different underlying omega ratios. We develop models that account for heterogeneous omega ratios among amino acid sites and apply them to phylogenetic analyses of protein-coding DNA sequences. These models are useful for testing for adaptive molecular evolution and identifying amino acid sites under diversifying selection. Ten data sets of genes from nuclear, mitochondrial, and viral genomes are analyzed to estimate the distributions of omega among sites. In all data sets analyzed, the selective pressure indicated by the omega ratio is found to be highly heterogeneous among sites. Previously unsuspected Darwinian selection is detected in several genes in which the average omega ratio across sites is 1. Genes undergoing positive selection include the beta-globin gene from vertebrates, mitochondrial protein-coding genes from hominoids, the hemagglutinin (HA) gene from human influenza virus A, and HIV-1 env, vif, and pol genes. Tests for the presence of positively selected sites and their subsequent identification appear quite robust to the specific distributional form assumed for omega and can be achieved using any of several models we implement. However, we encountered difficulties in estimating the precise distribution of omega among sites from real data sets.
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            Neocortex size as a constraint on group size in primates

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              Statistical methods for detecting molecular adaptation.

              The past few years have seen the development of powerful statistical methods for detecting adaptive molecular evolution. These methods compare synonymous and nonsynonymous substitution rates in protein-coding genes, and regard a nonsynonymous rate elevated above the synonymous rate as evidence for darwinian selection. Numerous cases of molecular adaptation are being identified in various systems from viruses to humans. Although previous analyses averaging rates over sites and time have little power, recent methods designed to detect positive selection at individual sites and lineages have been successful. Here, we summarize recent statistical methods for detecting molecular adaptation, and discuss their limitations and possible improvements.
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                Author and article information

                Contributors
                xushixia78@163.com
                sxh1991a8a9@163.com
                niuxu88@163.com
                mtyzzp@163.com
                tianrannjnu@163.com
                renwenhua@njnu.edu.cn
                kyzhounj@126.com
                gyang@njnu.edu.cn
                Journal
                BMC Evol Biol
                BMC Evol. Biol
                BMC Evolutionary Biology
                BioMed Central (London )
                1471-2148
                29 August 2017
                29 August 2017
                2017
                : 17
                : 206
                Affiliations
                ISNI 0000 0001 0089 5711, GRID grid.260474.3, Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, ; 1 Wenyuan Road, Nanjing, 210023 China
                Author information
                http://orcid.org/0000-0001-6285-6937
                Article
                1051
                10.1186/s12862-017-1051-7
                5576371
                28851290
                f5ba04ac-a005-4a07-a397-a21f972017cb
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 April 2017
                : 14 August 2017
                Funding
                Funded by: FundRef , the Natural Science Foundation of Jiangsu Province of China;
                Award ID: BK20141449
                Award Recipient :
                Funded by: FundRef , Priority Academic Program Development of Jiangsu Higher Education Institutions;
                Funded by: FundRef , National Natural Science Foundation of China ;
                Award ID: 31570379
                Award ID: 31370401
                Award Recipient :
                Funded by: FundRef , National Key Programme of Research and Development;
                Award ID: 2016YFC0503200
                Award Recipient :
                Funded by: FundRef , National Science Fund for Distinguished Young Scholars;
                Award ID: 31325025
                Award Recipient :
                Funded by: FundRef , state Key Program of National Natural Science of China;
                Award ID: 31630071
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Evolutionary Biology
                cetacea,mcphs,positive selection,brain size evolution,eq,group size
                Evolutionary Biology
                cetacea, mcphs, positive selection, brain size evolution, eq, group size

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