12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genome Sequence Analysis Reveals Selection Signatures in Endangered Trypanotolerant West African Muturu Cattle

      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

          Like most West African Bos taurus, the shorthorn Muturu is under threat of replacement or crossbreeding with zebu. Their populations are now reduced to a few hundred breeding individuals and they are considered endangered. So far, the genetic variation and genetic basis of the trypanotolerant Muturu environmental adaptation have not been assessed. Here, we present genome-wide candidate positive selection signatures in Muturu following within-population iHS and between population Rsb signatures of selection analysis. We compared the results in Muturu with the ones obtained in N’Dama, a West African longhorn trypanotolerant taurine, and in two European taurine (Holstein and Jersey). The results reveal candidate signatures of selection regions in Muturu including genes linked to the innate (e.g., TRIM10, TRIM15, TRIM40, and TRIM26) and the adaptive (e.g., JSP.1, BOLA-DQA2, BOLA-DQA5, BOLA-DRB3, and BLA-DQB) immune responses. The most significant regions are identified on BTA 23 at the bovine major histocompatibility complex (MHC) ( iHS analysis) and on BTA 12 at genes including a heat tolerance gene ( INTS6) ( Rsb analysis). Other candidate selected regions include genes related to growth traits/stature (e.g., GHR and GHRHR), coat color (e.g., MITF and KIT), feed efficiency (e.g., ZRANB3 and MAP3K5) and reproduction (e.g., RFX2, SRY, LAP3, and GPX5). Genes under common signatures of selection regions with N’Dama, including for adaptive immunity and heat tolerance, suggest shared mechanisms of adaptation to environmental challenges for these two West African taurine cattle. Interestingly, out of the 242,910 SNPs identified within the candidate selected regions in Muturu, 917 are missense SNPs (0.4%), with an unequal distribution across 273 genes. Fifteen genes including RBBP8, NID1, TEX15, LAMA3, TRIM40, and OR12D3 comprise 220 missense variants, each between 11 and 32. Our results, while providing insights into the candidate genes under selection in Muturu, are paving the way to the identification of genes and their polymorphisms linked to the unique tropical adaptive traits of the West Africa taurine, including trypanotolerance.

          Related collections

          Most cited references80

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

          Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds.

          The imprints of domestication and breed development on the genomes of livestock likely differ from those of companion animals. A deep draft sequence assembly of shotgun reads from a single Hereford female and comparative sequences sampled from six additional breeds were used to develop probes to interrogate 37,470 single-nucleotide polymorphisms (SNPs) in 497 cattle from 19 geographically and biologically diverse breeds. These data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation. Domestication and artificial selection appear to have left detectable signatures of selection within the cattle genome, yet the current levels of diversity within breeds are at least as great as exists within humans.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            rehh: an R package to detect footprints of selection in genome-wide SNP data from haplotype structure.

            With the development of next-generation sequencing and genotyping approaches, large single nucleotide polymorphism haplotype datasets are becoming available in a growing number of both model and non-model species. Identifying genomic regions with unexpectedly high local haplotype homozygosity relatively to neutral expectation represents a powerful strategy to ascertain candidate genes responding to natural or artificial selection. To facilitate genome-wide scans of selection based on the analysis of long-range haplotypes, we developed the R package rehh. It provides a versatile tool to detect the footprints of recent or ongoing selection with several graphical functions that help visual interpretation of the results. Stable version is available from CRAN: http://cran.r-project.org/. Development version is available from the R-forge repository: http://r-forge.r-project.org/projects/rehh. Both versions can be installed directly from R. Function documentation and example data files are provided within the package and a tutorial is available as Supplementary Material. rehh is distributed under the GNU General Public Licence (GPL ≥ 2).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations.

              We analyzed genome-wide association data from 1,380 Europeans with early-onset and morbid adult obesity and 1,416 age-matched normal-weight controls. Thirty-eight markers showing strong association were further evaluated in 14,186 European subjects. In addition to FTO and MC4R, we detected significant association of obesity with three new risk loci in NPC1 (endosomal/lysosomal Niemann-Pick C1 gene, P = 2.9 x 10(-7)), near MAF (encoding the transcription factor c-MAF, P = 3.8 x 10(-13)) and near PTER (phosphotriesterase-related gene, P = 2.1 x 10(-7)).
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Genet
                Front Genet
                Front. Genet.
                Frontiers in Genetics
                Frontiers Media S.A.
                1664-8021
                04 June 2019
                2019
                : 10
                : 442
                Affiliations
                [1] 1Cells, Organisms and Molecular Genetics, School of Life Sciences, University Park Campus, University of Nottingham , Nottingham, United Kingdom
                [2] 2Center for Genomics Research and Innovation, National Biotechnology Development Agency , Abuja, Nigeria
                [3] 3International Livestock Research Institute , Addis Ababa, Ethiopia
                [4] 4Department of Support, Production and Animal Health, School of Veterinary Medicine, São Paulo State University , São Paulo, Brazil
                [5] 5Department of Animal Science, Faculty of Agriculture, University of Nigeria , Nsukka, Nigeria
                Author notes

                Edited by: Farai Catherine Muchadeyi, Agricultural Research Council of South Africa (ARC-SA), South Africa

                Reviewed by: Filippo Biscarini, Italian National Research Council (CNR), Italy; Bertrand Servin, Institut National de la Recherche Agronomique de Toulouse, France

                *Correspondence: Abdulfatai Tijjani, fataiatc@ 123456yahoo.com

                This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics

                Article
                10.3389/fgene.2019.00442
                6558954
                31231417
                a74066a1-992d-401c-84d4-d10a0dc7b3a7
                Copyright © 2019 Tijjani, Utsunomiya, Ezekwe, Nashiru and Hanotte.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 November 2018
                : 29 April 2019
                Page count
                Figures: 10, Tables: 5, Equations: 2, References: 121, Pages: 18, Words: 0
                Categories
                Genetics
                Original Research

                Genetics
                african bos taurus,mhc,disease resistance,heat tolerance,comparative genomics
                Genetics
                african bos taurus, mhc, disease resistance, heat tolerance, comparative genomics

                Comments

                Comment on this article