Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats

[Background]: In this study, we aimed to investigate the molecular basis of lactation as well as to identify the genetic factors that influence milk yield and composition in goats. To achieve these two goals, we have analyzed how the mRNA profile of the mammary gland changes in seven Murciano-Granad...

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Autores: Guan, Dailu, Landi, Vincenzo, Luigi-Sierra, Maria Gracia, Delgado, Juan Vicente, Such, Xavier, Castelló, Anna, Cabrera, Betlem, Mármol-Sánchez, Emilio, Fernández-Álvarez, Javier, Ruiz de la Torre, José Luis, Martínez, Amparo, Jordana, Jordi, Amills, Marcel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/228975
Acceso en línea:http://hdl.handle.net/10261/228975
Access Level:acceso abierto
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network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats
title Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats
spellingShingle Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats
Guan, Dailu
title_short Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats
title_full Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats
title_fullStr Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats
title_full_unstemmed Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats
title_sort Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats
dc.creator.none.fl_str_mv Guan, Dailu
Landi, Vincenzo
Luigi-Sierra, Maria Gracia
Delgado, Juan Vicente
Such, Xavier
Castelló, Anna
Cabrera, Betlem
Mármol-Sánchez, Emilio
Fernández-Álvarez, Javier
Ruiz de la Torre, José Luis
Martínez, Amparo
Jordana, Jordi
Amills, Marcel
author Guan, Dailu
author_facet Guan, Dailu
Landi, Vincenzo
Luigi-Sierra, Maria Gracia
Delgado, Juan Vicente
Such, Xavier
Castelló, Anna
Cabrera, Betlem
Mármol-Sánchez, Emilio
Fernández-Álvarez, Javier
Ruiz de la Torre, José Luis
Martínez, Amparo
Jordana, Jordi
Amills, Marcel
author_role author
author2 Landi, Vincenzo
Luigi-Sierra, Maria Gracia
Delgado, Juan Vicente
Such, Xavier
Castelló, Anna
Cabrera, Betlem
Mármol-Sánchez, Emilio
Fernández-Álvarez, Javier
Ruiz de la Torre, José Luis
Martínez, Amparo
Jordana, Jordi
Amills, Marcel
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
European Commission
Generalitat de Catalunya
Ministerio de Educación, Cultura y Deporte (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
description [Background]: In this study, we aimed to investigate the molecular basis of lactation as well as to identify the genetic factors that influence milk yield and composition in goats. To achieve these two goals, we have analyzed how the mRNA profile of the mammary gland changes in seven Murciano-Granadina goats at each of three different time points, i.e. 78 d (T1, early lactation), 216 d (T2, late lactation) and 285 d (T3, dry period) after parturition. Moreover, we have performed a genome-wide association study (GWAS) for seven dairy traits recorded in the 1st lactation of 822 Murciano-Granadina goats.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/228975
url http://hdl.handle.net/10261/228975
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2016–76108-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2015-0533
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2016-75529-R
https://doi.org/10.1186/s40104-020-00435-4

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv BioMed Central
Springer Nature
publisher.none.fl_str_mv BioMed Central
Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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spelling Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goatsGuan, DailuLandi, VincenzoLuigi-Sierra, Maria GraciaDelgado, Juan VicenteSuch, XavierCastelló, AnnaCabrera, BetlemMármol-Sánchez, EmilioFernández-Álvarez, JavierRuiz de la Torre, José LuisMartínez, AmparoJordana, JordiAmills, Marcel[Background]: In this study, we aimed to investigate the molecular basis of lactation as well as to identify the genetic factors that influence milk yield and composition in goats. To achieve these two goals, we have analyzed how the mRNA profile of the mammary gland changes in seven Murciano-Granadina goats at each of three different time points, i.e. 78 d (T1, early lactation), 216 d (T2, late lactation) and 285 d (T3, dry period) after parturition. Moreover, we have performed a genome-wide association study (GWAS) for seven dairy traits recorded in the 1st lactation of 822 Murciano-Granadina goats.[Results]: The expression profiles of the mammary gland in the early (T1) and late (T2) lactation were quite similar (42 differentially expressed genes), while strong transcriptomic differences (more than one thousand differentially expressed genes) were observed between the lactating (T1/T2) and non-lactating (T3) mammary glands. A large number of differentially expressed genes were involved in pathways related with the biosynthesis of amino acids, cholesterol, triglycerides and steroids as well as with glycerophospholipid metabolism, adipocytokine signaling, lipid binding, regulation of ion transmembrane transport, calcium ion binding, metalloendopeptidase activity and complement and coagulation cascades. With regard to the second goal of the study, the performance of the GWAS allowed us to detect 24 quantitative trait loci (QTLs), including three genome-wide significant associations: QTL1 (chromosome 2, 130.72-131.01 Mb) for lactose percentage, QTL6 (chromosome 6, 78.90-93.48 Mb) for protein percentage and QTL17 (chromosome 17, 11.20 Mb) for both protein and dry matter percentages. Interestingly, QTL6 shows positional coincidence with the casein genes, which encode 80% of milk proteins.[Conclusions]: The abrogation of lactation involves dramatic changes in the expression of genes participating in a broad array of physiological processes such as protein, lipid and carbohydrate metabolism, calcium homeostasis, cell death and tissue remodeling, as well as immunity. We also conclude that genetic variation at the casein genes has a major impact on the milk protein content of Murciano-Granadina goats.This research was funded by the European Fund for Regional Development/Ministerio de Ciencia, Innovación y Universidades-Agencia Estatal de Investigación/Project Reference AGL2016–76108-R. We acknowledge the financial support from the Spanish Ministry of Economy and Competitiveness, through the “Severo Ochoa Programme for Centres of Excellence in R&D” 2016–2019 (SEV-2015-0533), and from the CERCA programme of the Generalitat de Catalunya. Dailu Guan was funded by a PhD fellowship from the China Scholarship Council (CSC). Maria Luigi-Sierra was funded with a PhD fellowship “Formación de Personal Investigador” (BES-C-2017-0024) awarded by the Spanish Ministry of Economy and Competitivity. Emilio Mármol-Sánchez was funded with a PhD fellowship (FPU15/01733) awarded by the Spanish Ministry of Education and Culture (MECD).Peer reviewedBioMed CentralSpringer NatureMinisterio de Economía y Competitividad (España)Agencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)European CommissionGeneralitat de CatalunyaMinisterio de Educación, Cultura y Deporte (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/228975reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2016–76108-Rinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2015-0533info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2016-75529-Rhttps://doi.org/10.1186/s40104-020-00435-4Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2289752026-05-22T06:33:51Z
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