Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data.
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 EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144893 https://doi.org/10.1080/09712119.2022.2096035 |
Resumo: | Rhipicephalus microplus causes huge losses in cattle. Host genetic background greatly affects the immune efficiency in resistance or susceptibility to tick infestation, which is one of the many factors that play a role on that trait. We performed a systematic review of genome-wide association studies (GWAS) for tick resistance in cattle resulting in 1353 candidate genes for post-GWAS analyses. From those, genes showing possible structural variants from the bovine genome were classified by the Variant Effect Predictor from Ensembl. Ninety-two candidate genes showed potential structural variants in 5' UTR and coding region and were used for functional annotation. Enriched biological processes (e.g. regulation of eosinophil chemotaxis, RIG-I signalling pathway and monocyte differentiation) and candidate genes (e.g. DAPK2, PUM1, ACIN1, INPP5D) linked with immune system function were identified and thus associated with tick resistance. Besides, gene-transcription factors (TFs) networks were obtained from TFs associated with immune system (FOXO3, PPARG, STAT3, NFKB1, GATA3 and ARNT) and the candidate genes associated with tick resistance in cattle highlighted (e.g. OR4L1, PNP, LRRIQ1, GIMAP8, MYO6, MEP1A and LRFN2). Thus, promising candidate genes with a possible functional role for tick resistance in cattle are presented for further in vitro and/or in vivo analyses. |
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Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data.EctoparasitaSistema imunológicoBovinoCarrapatoGenomaCarneHospedeiro AnimalRhipicephalus microplus causes huge losses in cattle. Host genetic background greatly affects the immune efficiency in resistance or susceptibility to tick infestation, which is one of the many factors that play a role on that trait. We performed a systematic review of genome-wide association studies (GWAS) for tick resistance in cattle resulting in 1353 candidate genes for post-GWAS analyses. From those, genes showing possible structural variants from the bovine genome were classified by the Variant Effect Predictor from Ensembl. Ninety-two candidate genes showed potential structural variants in 5' UTR and coding region and were used for functional annotation. Enriched biological processes (e.g. regulation of eosinophil chemotaxis, RIG-I signalling pathway and monocyte differentiation) and candidate genes (e.g. DAPK2, PUM1, ACIN1, INPP5D) linked with immune system function were identified and thus associated with tick resistance. Besides, gene-transcription factors (TFs) networks were obtained from TFs associated with immune system (FOXO3, PPARG, STAT3, NFKB1, GATA3 and ARNT) and the candidate genes associated with tick resistance in cattle highlighted (e.g. OR4L1, PNP, LRRIQ1, GIMAP8, MYO6, MEP1A and LRFN2). Thus, promising candidate genes with a possible functional role for tick resistance in cattle are presented for further in vitro and/or in vivo analyses.CASSIANE GOMES DOS SANTOS, Universidade Federal dos Vales do Jequitinhonha e MucuriMARIELE FREITAS SOUSA, Universidade Federal dos Vales do Jequitinhonha e MucuriJOÃO INÁCIO GOMES VIEIRA, Universidade Federal dos Vales do Jequitinhonha e MucuriLUANA RAFAELA DE MORAIS, Universidade Federal dos Vales do Jequitinhonha e MucuriALINE AUXILIADORA SILVA FERNANDES, Universidade Federal dos Vales do Jequitinhonha e MucuriTHAYSSA DE OLIVEIRA LITTIERE, Universidade Estadual Paulista "Júlio de Mesquita Filho"PAMELA ITAJARA OTTO, Universidade Federal de Santa MariaMARCO ANTONIO MACHADO, CNPGLMARCOS VINICIUS GUALBERTO B SILVA, CNPGLCRISTINA MOREIRA BONAFÉ, Universidade Federal dos Vales do Jequitinhonha e MucuriANA FABRÍCIA BRAGA MAGALHÃES, Universidade Federal dos Vales do Jequitinhonha e MucuriLUCAS LIMA VERARDO, Universidade Federal dos Vales do Jequitinhonha e Mucuri.SANTOS, C. G. dosSOUSA, M. F.VIEIRA, J. I. G.MORAIS, L. R. deFERNANDES, A. A. S.LITTIERE, T. de O.OTTO, P. I.MACHADO, M. A.SILVA, M. V. G. B.BONAFÉ, C. M.MAGALHÃES, A. F. B.VERARDO, L. L.2022-07-25T13:20:05Z2022-07-25T13:20:05Z2022-07-252022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleJournal of Applied Animal Research, v. 50, n. 1, p. 460-470, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144893https://doi.org/10.1080/09712119.2022.2096035enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2022-07-25T13:20:13Zoai:www.alice.cnptia.embrapa.br:doc/1144893Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-07-25T13:20:13falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-07-25T13:20:13Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. |
title |
Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. |
spellingShingle |
Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. SANTOS, C. G. dos Ectoparasita Sistema imunológico Bovino Carrapato Genoma Carne Hospedeiro Animal |
title_short |
Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. |
title_full |
Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. |
title_fullStr |
Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. |
title_full_unstemmed |
Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. |
title_sort |
Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. |
author |
SANTOS, C. G. dos |
author_facet |
SANTOS, C. G. dos SOUSA, M. F. VIEIRA, J. I. G. MORAIS, L. R. de FERNANDES, A. A. S. LITTIERE, T. de O. OTTO, P. I. MACHADO, M. A. SILVA, M. V. G. B. BONAFÉ, C. M. MAGALHÃES, A. F. B. VERARDO, L. L. |
author_role |
author |
author2 |
SOUSA, M. F. VIEIRA, J. I. G. MORAIS, L. R. de FERNANDES, A. A. S. LITTIERE, T. de O. OTTO, P. I. MACHADO, M. A. SILVA, M. V. G. B. BONAFÉ, C. M. MAGALHÃES, A. F. B. VERARDO, L. L. |
author2_role |
author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
CASSIANE GOMES DOS SANTOS, Universidade Federal dos Vales do Jequitinhonha e Mucuri MARIELE FREITAS SOUSA, Universidade Federal dos Vales do Jequitinhonha e Mucuri JOÃO INÁCIO GOMES VIEIRA, Universidade Federal dos Vales do Jequitinhonha e Mucuri LUANA RAFAELA DE MORAIS, Universidade Federal dos Vales do Jequitinhonha e Mucuri ALINE AUXILIADORA SILVA FERNANDES, Universidade Federal dos Vales do Jequitinhonha e Mucuri THAYSSA DE OLIVEIRA LITTIERE, Universidade Estadual Paulista "Júlio de Mesquita Filho" PAMELA ITAJARA OTTO, Universidade Federal de Santa Maria MARCO ANTONIO MACHADO, CNPGL MARCOS VINICIUS GUALBERTO B SILVA, CNPGL CRISTINA MOREIRA BONAFÉ, Universidade Federal dos Vales do Jequitinhonha e Mucuri ANA FABRÍCIA BRAGA MAGALHÃES, Universidade Federal dos Vales do Jequitinhonha e Mucuri LUCAS LIMA VERARDO, Universidade Federal dos Vales do Jequitinhonha e Mucuri. |
dc.contributor.author.fl_str_mv |
SANTOS, C. G. dos SOUSA, M. F. VIEIRA, J. I. G. MORAIS, L. R. de FERNANDES, A. A. S. LITTIERE, T. de O. OTTO, P. I. MACHADO, M. A. SILVA, M. V. G. B. BONAFÉ, C. M. MAGALHÃES, A. F. B. VERARDO, L. L. |
dc.subject.por.fl_str_mv |
Ectoparasita Sistema imunológico Bovino Carrapato Genoma Carne Hospedeiro Animal |
topic |
Ectoparasita Sistema imunológico Bovino Carrapato Genoma Carne Hospedeiro Animal |
description |
Rhipicephalus microplus causes huge losses in cattle. Host genetic background greatly affects the immune efficiency in resistance or susceptibility to tick infestation, which is one of the many factors that play a role on that trait. We performed a systematic review of genome-wide association studies (GWAS) for tick resistance in cattle resulting in 1353 candidate genes for post-GWAS analyses. From those, genes showing possible structural variants from the bovine genome were classified by the Variant Effect Predictor from Ensembl. Ninety-two candidate genes showed potential structural variants in 5' UTR and coding region and were used for functional annotation. Enriched biological processes (e.g. regulation of eosinophil chemotaxis, RIG-I signalling pathway and monocyte differentiation) and candidate genes (e.g. DAPK2, PUM1, ACIN1, INPP5D) linked with immune system function were identified and thus associated with tick resistance. Besides, gene-transcription factors (TFs) networks were obtained from TFs associated with immune system (FOXO3, PPARG, STAT3, NFKB1, GATA3 and ARNT) and the candidate genes associated with tick resistance in cattle highlighted (e.g. OR4L1, PNP, LRRIQ1, GIMAP8, MYO6, MEP1A and LRFN2). Thus, promising candidate genes with a possible functional role for tick resistance in cattle are presented for further in vitro and/or in vivo analyses. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-25T13:20:05Z 2022-07-25T13:20:05Z 2022-07-25 2022 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Journal of Applied Animal Research, v. 50, n. 1, p. 460-470, 2022. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144893 https://doi.org/10.1080/09712119.2022.2096035 |
identifier_str_mv |
Journal of Applied Animal Research, v. 50, n. 1, p. 460-470, 2022. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144893 https://doi.org/10.1080/09712119.2022.2096035 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503526695567360 |