17
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Population size may shape the accumulation of functional mutations following domestication

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Population genetics theory predicts an important role of differences in the effective population size ( N e ) among species on shaping the accumulation of functional mutations by regulating the selection efficiency. However, this correlation has never been tested in domesticated animals.

          Results

          Here, we synthesized 62 whole genome data in eight domesticated species (cat, dog, pig, goat, sheep, chicken, cattle and horse) and compared domesticates with their wild (or ancient) relatives. Genes with significantly different selection pressures (revealed by nonsynonymous/synonymous substitution rate ratios, Ka/Ks or ω) between domesticated (D ω) and wild animals (W ω) were determined by likelihood-ratio tests. Species-level effective population sizes ( N e ) were evaluated by the pairwise sequentially Markovian coalescent (PSMC) model, and D ω /W ω were calculated for each species to evaluate the changes in accumulation of functional mutations after domestication relative to pre-domestication period. Correlation analysis revealed that the most recent (~ 10.000 years ago) N e (s) are positively correlated with D ω /W ω. This result is consistent with the corollary of the nearly neutral theory, that higher N e could boost the efficiency of positive selection, which might facilitate the overall accumulation of functional mutations. In addition, we also evaluated the accumulation of radical and conservative mutations during the domestication transition as: D radical/W radical and D conservative/W conservative, respectively. Surprisingly, only D radical/W radical ratio exhibited a positive correlation with N e ( p < 0.05), suggesting that domestication process might magnify the accumulation of radical mutations in species with larger N e .

          Conclusions

          Our results confirm the classical population genetics theory prediction and highlight the important role of species’ N e in shaping the patterns of accumulation of functional mutations, especially radical mutations, in domesticated animals. The results aid our understanding of the mechanisms underlying the accumulation of functional mutations after domestication, which is critical for understanding the phenotypic diversification associated with this process.

          Electronic supplementary material

          The online version of this article (10.1186/s12862-018-1120-6) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: not found
          • Article: not found

          The Ka/Ks ratio: diagnosing the form of sequence evolution

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            BLAST 2 Sequences, a new tool for comparing protein and nucleotide sequences.

            'BLAST 2 Sequences', a new BLAST-based tool for aligning two protein or nucleotide sequences, is described. While the standard BLAST program is widely used to search for homologous sequences in nucleotide and protein databases, one often needs to compare only two sequences that are already known to be homologous, coming from related species or, e.g. different isolates of the same virus. In such cases searching the entire database would be unnecessarily time-consuming. 'BLAST 2 Sequences' utilizes the BLAST algorithm for pairwise DNA-DNA or protein-protein sequence comparison. A World Wide Web version of the program can be used interactively at the NCBI WWW site (http://www.ncbi.nlm.nih.gov/gorf/bl2.++ +html). The resulting alignments are presented in both graphical and text form. The variants of the program for PC (Windows), Mac and several UNIX-based platforms can be downloaded from the NCBI FTP site (ftp://ncbi.nlm.nih.gov).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Sequencing and automated whole-genome optical mapping of the genome of a domestic goat (Capra hircus).

              We report the ∼2.66-Gb genome sequence of a female Yunnan black goat. The sequence was obtained by combining short-read sequencing data and optical mapping data from a high-throughput whole-genome mapping instrument. The whole-genome mapping data facilitated the assembly of super-scaffolds >5× longer by the N50 metric than scaffolds augmented by fosmid end sequencing (scaffold N50 = 3.06 Mb, super-scaffold N50 = 16.3 Mb). Super-scaffolds are anchored on chromosomes based on conserved synteny with cattle, and the assembly is well supported by two radiation hybrid maps of chromosome 1. We annotate 22,175 protein-coding genes, most of which were recovered in the RNA-seq data of ten tissues. Comparative transcriptomic analysis of the primary and secondary follicles of a cashmere goat reveal 51 genes that are differentially expressed between the two types of hair follicles. This study, whose results will facilitate goat genomics, shows that whole-genome mapping technology can be used for the de novo assembly of large genomes.
                Bookmark

                Author and article information

                Contributors
                chenjianhaizi@163.com
                nipan08@vip.qq.com
                hzaulxy@163.com
                h.jianlin@cgiar.org
                ivanjakovlic@yahoo.com
                zhangchengjun@mail.kib.ac.cn
                shzhao@mail.hzau.edu.cn
                Journal
                BMC Evol Biol
                BMC Evol. Biol
                BMC Evolutionary Biology
                BioMed Central (London )
                1471-2148
                19 January 2018
                19 January 2018
                2018
                : 18
                : 4
                Affiliations
                [1 ]ISNI 0000 0004 1790 4137, GRID grid.35155.37, Key Lab of Agricultural Animal Genetics and Breeding, Ministry of Education, College of Animal Science and Veterinary Medicine, , Huazhong Agricultural University, ; Wuhan, 430070 People’s Republic of China
                [2 ]ISNI 0000 0004 1790 4137, GRID grid.35155.37, The Cooperative Innovation Center for Sustainable Pig Production, , Huazhong Agricultural University, ; Wuhan, 430070 People’s Republic of China
                [3 ]GRID grid.419369.0, International Livestock Research Institute (ILRI), ; Nairobi, 00100 Kenya
                [4 ]ISNI 0000 0001 0526 1937, GRID grid.410727.7, CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, , Chinese Academy of Agricultural Sciences (CAAS), ; Beijing, 100193 People’s Republic of China
                [5 ]ISNI 0000000460662524, GRID grid.488186.b, Bio-Transduction Lab, , Wuhan Institute of Biotechnology, ; Wuhan, 430075 People’s Republic of China
                [6 ]ISNI 0000000119573309, GRID grid.9227.e, Kunming Institute of Botany, , Chinese Academy of Sciences, ; Kunming, 650201 People’s Republic of China
                Author information
                http://orcid.org/0000-0002-3997-2320
                Article
                1120
                10.1186/s12862-018-1120-6
                5775542
                29351740
                e341bc6d-8fef-40c2-9065-c55524db092f
                © The Author(s). 2018

                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
                : 16 March 2017
                : 9 January 2018
                Funding
                Funded by: NSFC-CGIAR Cooperation project
                Award ID: 31361140365
                Award Recipient :
                Funded by: National High Technology Research and Development Program of China
                Award ID: 863 Program, 2013AA102502 to SZ
                Award Recipient :
                Funded by: Huazhong Agricultural University Scientific & Technological Self-Innovation Foundation
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Evolutionary Biology
                purifying selection,positive selection,selection dynamics,effective population size

                Comments

                Comment on this article