Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1111/jbg.12682 http://hdl.handle.net/11449/240953 |
Resumo: | This study aimed to integrate GWAS and structural variants to propose possible molecular biomarkers related to gastrointestinal nematode resistance traits in Santa Inês sheep. The phenotypic records FAMACHA, haematocrit, white blood cell count, red blood cell count, haemoglobin, platelets and egg counts per gram of faeces were collected from 700 naturally infected animals, belonging to four Brazilian flocks. A total of 576 animals were genotyped using the Ovine SNP12k BeadChip and were imputed using a reference population with Ovine SNP50 BeadChip. The GWAS approaches were based on SNPs, haplotypes, CNVs and ROH. The overlapping between the significant genomic regions detected from all approaches was investigated, and the results were integrated using a network analysis. Genes related to the immune system were found, such as ABCB1, IL6, WNT5A and IRF5. Genomic regions containing candidate genes and metabolic pathways involved in immune responses, inflammatory processes and immune cells affecting parasite resistance traits were identified. The genomic regions, biological processes and candidate genes uncovered could lead to biomarkers for selecting more resilient sheep and improving herd welfare and productivity. The results obtained are the start point to identify molecular biomarkers related to indicator traits of gastrointestinal nematode resistance in Santa Inês sheep. |
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Repositório Institucional da UNESP |
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spelling |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheepcopy number variantGWAShaplotypeintegration analysesrun of homozygositysystem biologyThis study aimed to integrate GWAS and structural variants to propose possible molecular biomarkers related to gastrointestinal nematode resistance traits in Santa Inês sheep. The phenotypic records FAMACHA, haematocrit, white blood cell count, red blood cell count, haemoglobin, platelets and egg counts per gram of faeces were collected from 700 naturally infected animals, belonging to four Brazilian flocks. A total of 576 animals were genotyped using the Ovine SNP12k BeadChip and were imputed using a reference population with Ovine SNP50 BeadChip. The GWAS approaches were based on SNPs, haplotypes, CNVs and ROH. The overlapping between the significant genomic regions detected from all approaches was investigated, and the results were integrated using a network analysis. Genes related to the immune system were found, such as ABCB1, IL6, WNT5A and IRF5. Genomic regions containing candidate genes and metabolic pathways involved in immune responses, inflammatory processes and immune cells affecting parasite resistance traits were identified. The genomic regions, biological processes and candidate genes uncovered could lead to biomarkers for selecting more resilient sheep and improving herd welfare and productivity. The results obtained are the start point to identify molecular biomarkers related to indicator traits of gastrointestinal nematode resistance in Santa Inês sheep.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Departamento de Zootecnia Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual PaulistaFaculdade de Zootecnia e Engenharia de Alimentos Universidade de São PauloInstituto Nacional de Investigación Agropecuária (INIA)Departamento de Zootecnia Escola Superior de Agricultura “Luiz de Queiroz” Universidade de São Paulo/ESALQCentre for Genetic Improvement of Livestock University of GuelphDepartamento de Zootecnia Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual PaulistaFAPESP: 2014/07566-FAPESP: 2018/25247-2Universidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Instituto Nacional de Investigación Agropecuária (INIA)University of GuelphBerton, Mariana Piatto [UNESP]Silva, Rosiane Pereira daBanchero, GeorggetMourão, Gerson BarretoFerraz, Jose Bento StermanSchenkel, Flavio SchrammBaldi, Fernando [UNESP]2023-03-01T20:40:18Z2023-03-01T20:40:18Z2022-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article502-516http://dx.doi.org/10.1111/jbg.12682Journal of Animal Breeding and Genetics, v. 139, n. 5, p. 502-516, 2022.1439-03880931-2668http://hdl.handle.net/11449/24095310.1111/jbg.126822-s2.0-85129667821Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Animal Breeding and Geneticsinfo:eu-repo/semantics/openAccess2024-06-07T18:45:07Zoai:repositorio.unesp.br:11449/240953Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:54:19.035149Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep |
title |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep |
spellingShingle |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep Berton, Mariana Piatto [UNESP] copy number variant GWAS haplotype integration analyses run of homozygosity system biology |
title_short |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep |
title_full |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep |
title_fullStr |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep |
title_full_unstemmed |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep |
title_sort |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep |
author |
Berton, Mariana Piatto [UNESP] |
author_facet |
Berton, Mariana Piatto [UNESP] Silva, Rosiane Pereira da Banchero, Georgget Mourão, Gerson Barreto Ferraz, Jose Bento Sterman Schenkel, Flavio Schramm Baldi, Fernando [UNESP] |
author_role |
author |
author2 |
Silva, Rosiane Pereira da Banchero, Georgget Mourão, Gerson Barreto Ferraz, Jose Bento Sterman Schenkel, Flavio Schramm Baldi, Fernando [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade de São Paulo (USP) Instituto Nacional de Investigación Agropecuária (INIA) University of Guelph |
dc.contributor.author.fl_str_mv |
Berton, Mariana Piatto [UNESP] Silva, Rosiane Pereira da Banchero, Georgget Mourão, Gerson Barreto Ferraz, Jose Bento Sterman Schenkel, Flavio Schramm Baldi, Fernando [UNESP] |
dc.subject.por.fl_str_mv |
copy number variant GWAS haplotype integration analyses run of homozygosity system biology |
topic |
copy number variant GWAS haplotype integration analyses run of homozygosity system biology |
description |
This study aimed to integrate GWAS and structural variants to propose possible molecular biomarkers related to gastrointestinal nematode resistance traits in Santa Inês sheep. The phenotypic records FAMACHA, haematocrit, white blood cell count, red blood cell count, haemoglobin, platelets and egg counts per gram of faeces were collected from 700 naturally infected animals, belonging to four Brazilian flocks. A total of 576 animals were genotyped using the Ovine SNP12k BeadChip and were imputed using a reference population with Ovine SNP50 BeadChip. The GWAS approaches were based on SNPs, haplotypes, CNVs and ROH. The overlapping between the significant genomic regions detected from all approaches was investigated, and the results were integrated using a network analysis. Genes related to the immune system were found, such as ABCB1, IL6, WNT5A and IRF5. Genomic regions containing candidate genes and metabolic pathways involved in immune responses, inflammatory processes and immune cells affecting parasite resistance traits were identified. The genomic regions, biological processes and candidate genes uncovered could lead to biomarkers for selecting more resilient sheep and improving herd welfare and productivity. The results obtained are the start point to identify molecular biomarkers related to indicator traits of gastrointestinal nematode resistance in Santa Inês sheep. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-01 2023-03-01T20:40:18Z 2023-03-01T20:40:18Z |
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/10.1111/jbg.12682 Journal of Animal Breeding and Genetics, v. 139, n. 5, p. 502-516, 2022. 1439-0388 0931-2668 http://hdl.handle.net/11449/240953 10.1111/jbg.12682 2-s2.0-85129667821 |
url |
http://dx.doi.org/10.1111/jbg.12682 http://hdl.handle.net/11449/240953 |
identifier_str_mv |
Journal of Animal Breeding and Genetics, v. 139, n. 5, p. 502-516, 2022. 1439-0388 0931-2668 10.1111/jbg.12682 2-s2.0-85129667821 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Animal Breeding and Genetics |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
502-516 |
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 |
|
_version_ |
1808129563520139264 |