Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires

Detalhes bibliográficos
Autor(a) principal: Oliveira Júnior, Gerson A.
Data de Publicação: 2019
Outros Autores: Santos, Daniel J. A., Cesar, Aline S. M., Boison, Solomon A., Ventura, Ricardo V., Perez, Bruno C., Garcia, José F. [UNESP], Ferraz, José Bento S., Garrick, Dorian J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1186/s40104-019-0403-0
http://hdl.handle.net/11449/201093
Resumo: Background: Impaired fertility in cattle limits the efficiency of livestock production systems. Unraveling the genetic architecture of fertility traits would facilitate their improvement by selection. In this study, we characterized SNP chip haplotypes at QTL blocks then used whole-genome sequencing to fine map genomic regions associated with reproduction in a population of Nellore (Bos indicus) heifers. Methods: The dataset comprised of 1337 heifers genotyped using a GeneSeek® Genomic Profiler panel (74677 SNPs), representing the daughters from 78 sires. After performing marker quality control, 64800 SNPs were retained. Haplotypes carried by each sire at six previously identified QTL on BTAs 5, 14 and 18 for heifer pregnancy and BTAs 8, 11 and 22 for antral follicle count were constructed using findhap software. The significance of the contrasts between the effects of every two paternally-inherited haplotype alleles were used to identify sires that were heterozygous at each QTL. Whole-genome sequencing data localized to the haplotypes from six sires and 20 other ancestors were used to identify sequence variants that were concordant with the haplotype contrasts. Enrichment analyses were applied to these variants using KEGG and MeSH libraries. Results: A total of six (BTA 5), six (BTA 14) and five (BTA 18) sires were heterozygous for heifer pregnancy QTL whereas six (BTA 8), fourteen (BTA 11), and five (BTA 22) sires were heterozygous for number of antral follicles' QTL. Due to inadequate representation of many haplotype alleles in the sequenced animals, fine mapping analysis could only be reliably performed for the QTL on BTA 5 and 14, which had 641 and 3733 concordant candidate sequence variants, respectively. The KEGG Circadian rhythm and Neurotrophin signaling pathway were significantly associated with the genes in the QTL on BTA 5 whereas 32 MeSH terms were associated with the QTL on BTA 14. Among the concordant sequence variants, 0.2% and 0.3% were classified as missense variants for BTAs 5 and 14, respectively, highlighting the genes MTERF2, RTMB, ENSBTAG00000037306 (miRNA), ENSBTAG00000040351, PRKDC, and RGS20. The potential causal mutations found in the present study were associated with biological processes such as oocyte maturation, embryo development, placenta development and response to reproductive hormones. Conclusions: The identification of heterozygous sires by positionally phasing SNP chip data and contrasting haplotype effects for previously detected QTL can be used for fine mapping to identify potential causal mutations and candidate genes. Genomic variants on genes MTERF2, RTBC, miRNA ENSBTAG00000037306, ENSBTAG00000040351, PRKDC, and RGS20, which are known to have influence on reproductive biological processes, were detected.
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spelling Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating siresAntral folliclesCausal variantsHaplotypeHeifer pregnancyWGSBackground: Impaired fertility in cattle limits the efficiency of livestock production systems. Unraveling the genetic architecture of fertility traits would facilitate their improvement by selection. In this study, we characterized SNP chip haplotypes at QTL blocks then used whole-genome sequencing to fine map genomic regions associated with reproduction in a population of Nellore (Bos indicus) heifers. Methods: The dataset comprised of 1337 heifers genotyped using a GeneSeek® Genomic Profiler panel (74677 SNPs), representing the daughters from 78 sires. After performing marker quality control, 64800 SNPs were retained. Haplotypes carried by each sire at six previously identified QTL on BTAs 5, 14 and 18 for heifer pregnancy and BTAs 8, 11 and 22 for antral follicle count were constructed using findhap software. The significance of the contrasts between the effects of every two paternally-inherited haplotype alleles were used to identify sires that were heterozygous at each QTL. Whole-genome sequencing data localized to the haplotypes from six sires and 20 other ancestors were used to identify sequence variants that were concordant with the haplotype contrasts. Enrichment analyses were applied to these variants using KEGG and MeSH libraries. Results: A total of six (BTA 5), six (BTA 14) and five (BTA 18) sires were heterozygous for heifer pregnancy QTL whereas six (BTA 8), fourteen (BTA 11), and five (BTA 22) sires were heterozygous for number of antral follicles' QTL. Due to inadequate representation of many haplotype alleles in the sequenced animals, fine mapping analysis could only be reliably performed for the QTL on BTA 5 and 14, which had 641 and 3733 concordant candidate sequence variants, respectively. The KEGG Circadian rhythm and Neurotrophin signaling pathway were significantly associated with the genes in the QTL on BTA 5 whereas 32 MeSH terms were associated with the QTL on BTA 14. Among the concordant sequence variants, 0.2% and 0.3% were classified as missense variants for BTAs 5 and 14, respectively, highlighting the genes MTERF2, RTMB, ENSBTAG00000037306 (miRNA), ENSBTAG00000040351, PRKDC, and RGS20. The potential causal mutations found in the present study were associated with biological processes such as oocyte maturation, embryo development, placenta development and response to reproductive hormones. Conclusions: The identification of heterozygous sires by positionally phasing SNP chip data and contrasting haplotype effects for previously detected QTL can be used for fine mapping to identify potential causal mutations and candidate genes. Genomic variants on genes MTERF2, RTBC, miRNA ENSBTAG00000037306, ENSBTAG00000040351, PRKDC, and RGS20, which are known to have influence on reproductive biological processes, were detected.Department of Veterinary Medicine University of São Paulo (USP) Faculty of Animal Science and Food EngineerDepartment of Animal Bioscience Center for Genetic Improvement of Livestock University of GuelphDepartment of Animal and Avian Sciences University of MarylandDepartment of Animal Science University of São Paulo (USP)Department of Sustainable Agricultural Systems University of Natural Resources and Life SciencesDepartment of Animal Nutrition and Production School of Veterinary Medicine and Animal Science University of São Paulo (USP)Department of Support Production and Animal Health São Paulo State University (Unesp)School of Agriculture Massey University Ruakura Ag CentreDepartment of Support Production and Animal Health São Paulo State University (Unesp)Universidade de São Paulo (USP)University of GuelphUniversity of MarylandUniversity of Natural Resources and Life SciencesUniversidade Estadual Paulista (Unesp)Ruakura Ag CentreOliveira Júnior, Gerson A.Santos, Daniel J. A.Cesar, Aline S. M.Boison, Solomon A.Ventura, Ricardo V.Perez, Bruno C.Garcia, José F. [UNESP]Ferraz, José Bento S.Garrick, Dorian J.2020-12-12T02:23:52Z2020-12-12T02:23:52Z2019-12-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1186/s40104-019-0403-0Journal of Animal Science and Biotechnology, v. 10, n. 1, 2019.2049-18911674-9782http://hdl.handle.net/11449/20109310.1186/s40104-019-0403-02-s2.0-85076546831Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Animal Science and Biotechnologyinfo:eu-repo/semantics/openAccess2024-09-06T18:54:39Zoai:repositorio.unesp.br:11449/201093Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-06T18:54:39Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
title Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
spellingShingle Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
Oliveira Júnior, Gerson A.
Antral follicles
Causal variants
Haplotype
Heifer pregnancy
WGS
title_short Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
title_full Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
title_fullStr Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
title_full_unstemmed Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
title_sort Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires
author Oliveira Júnior, Gerson A.
author_facet Oliveira Júnior, Gerson A.
Santos, Daniel J. A.
Cesar, Aline S. M.
Boison, Solomon A.
Ventura, Ricardo V.
Perez, Bruno C.
Garcia, José F. [UNESP]
Ferraz, José Bento S.
Garrick, Dorian J.
author_role author
author2 Santos, Daniel J. A.
Cesar, Aline S. M.
Boison, Solomon A.
Ventura, Ricardo V.
Perez, Bruno C.
Garcia, José F. [UNESP]
Ferraz, José Bento S.
Garrick, Dorian J.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
University of Guelph
University of Maryland
University of Natural Resources and Life Sciences
Universidade Estadual Paulista (Unesp)
Ruakura Ag Centre
dc.contributor.author.fl_str_mv Oliveira Júnior, Gerson A.
Santos, Daniel J. A.
Cesar, Aline S. M.
Boison, Solomon A.
Ventura, Ricardo V.
Perez, Bruno C.
Garcia, José F. [UNESP]
Ferraz, José Bento S.
Garrick, Dorian J.
dc.subject.por.fl_str_mv Antral follicles
Causal variants
Haplotype
Heifer pregnancy
WGS
topic Antral follicles
Causal variants
Haplotype
Heifer pregnancy
WGS
description Background: Impaired fertility in cattle limits the efficiency of livestock production systems. Unraveling the genetic architecture of fertility traits would facilitate their improvement by selection. In this study, we characterized SNP chip haplotypes at QTL blocks then used whole-genome sequencing to fine map genomic regions associated with reproduction in a population of Nellore (Bos indicus) heifers. Methods: The dataset comprised of 1337 heifers genotyped using a GeneSeek® Genomic Profiler panel (74677 SNPs), representing the daughters from 78 sires. After performing marker quality control, 64800 SNPs were retained. Haplotypes carried by each sire at six previously identified QTL on BTAs 5, 14 and 18 for heifer pregnancy and BTAs 8, 11 and 22 for antral follicle count were constructed using findhap software. The significance of the contrasts between the effects of every two paternally-inherited haplotype alleles were used to identify sires that were heterozygous at each QTL. Whole-genome sequencing data localized to the haplotypes from six sires and 20 other ancestors were used to identify sequence variants that were concordant with the haplotype contrasts. Enrichment analyses were applied to these variants using KEGG and MeSH libraries. Results: A total of six (BTA 5), six (BTA 14) and five (BTA 18) sires were heterozygous for heifer pregnancy QTL whereas six (BTA 8), fourteen (BTA 11), and five (BTA 22) sires were heterozygous for number of antral follicles' QTL. Due to inadequate representation of many haplotype alleles in the sequenced animals, fine mapping analysis could only be reliably performed for the QTL on BTA 5 and 14, which had 641 and 3733 concordant candidate sequence variants, respectively. The KEGG Circadian rhythm and Neurotrophin signaling pathway were significantly associated with the genes in the QTL on BTA 5 whereas 32 MeSH terms were associated with the QTL on BTA 14. Among the concordant sequence variants, 0.2% and 0.3% were classified as missense variants for BTAs 5 and 14, respectively, highlighting the genes MTERF2, RTMB, ENSBTAG00000037306 (miRNA), ENSBTAG00000040351, PRKDC, and RGS20. The potential causal mutations found in the present study were associated with biological processes such as oocyte maturation, embryo development, placenta development and response to reproductive hormones. Conclusions: The identification of heterozygous sires by positionally phasing SNP chip data and contrasting haplotype effects for previously detected QTL can be used for fine mapping to identify potential causal mutations and candidate genes. Genomic variants on genes MTERF2, RTBC, miRNA ENSBTAG00000037306, ENSBTAG00000040351, PRKDC, and RGS20, which are known to have influence on reproductive biological processes, were detected.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-16
2020-12-12T02:23:52Z
2020-12-12T02:23:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1186/s40104-019-0403-0
Journal of Animal Science and Biotechnology, v. 10, n. 1, 2019.
2049-1891
1674-9782
http://hdl.handle.net/11449/201093
10.1186/s40104-019-0403-0
2-s2.0-85076546831
url http://dx.doi.org/10.1186/s40104-019-0403-0
http://hdl.handle.net/11449/201093
identifier_str_mv Journal of Animal Science and Biotechnology, v. 10, n. 1, 2019.
2049-1891
1674-9782
10.1186/s40104-019-0403-0
2-s2.0-85076546831
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Animal Science and Biotechnology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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