Differences in muscle transcriptome among pigs phenotypically extreme for fatty acid composition.
Identifieur interne : 003620 ( PubMed/Curation ); précédent : 003619; suivant : 003621Differences in muscle transcriptome among pigs phenotypically extreme for fatty acid composition.
Auteurs : Anna Puig-Oliveras [Espagne] ; Yuliaxis Ramayo-Caldas [France] ; Jordi Corominas [Espagne] ; Jordi Estellé [France] ; Dafne Pérez-Montarelo [Espagne] ; Nicholas J. Hudson [Australie] ; Joaquim Casellas [Espagne] ; Josep M. Folch [Espagne] ; Maria BallesterSource :
- PloS one [ 1932-6203 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- génétique : Transcriptome.
- métabolisme : Acides gras, Muscles squelettiques.
- Analyse de profil d'expression de gènes, Animaux, Femelle, Suidae, Sus scrofa.
English descriptors
- KwdEn :
- MESH :
- chemical , metabolism : Fatty Acids.
- genetics : Transcriptome.
- metabolism : Muscle, Skeletal.
- Animals, Female, Gene Expression Profiling, Sus scrofa, Swine.
Abstract
Besides having an impact on human health, the porcine muscle fatty acid profile determines meat quality and taste. The RNA-Seq technologies allowed us to explore the pig muscle transcriptome with an unprecedented detail. The aim of this study was to identify differentially-expressed genes between two groups of 6 sows belonging to an Iberian × Landrace backcross with extreme phenotypes according to FA profile.
DOI: 10.1371/journal.pone.0099720
PubMed: 24926690
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pubmed:24926690Le document en format XML
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<term>Gene Expression Profiling</term>
<term>Muscle, Skeletal (metabolism)</term>
<term>Sus scrofa</term>
<term>Swine</term>
<term>Transcriptome (genetics)</term>
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<term>Analyse de profil d'expression de gènes</term>
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<term>Gene Expression Profiling</term>
<term>Sus scrofa</term>
<term>Swine</term>
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<front><div type="abstract" xml:lang="en">Besides having an impact on human health, the porcine muscle fatty acid profile determines meat quality and taste. The RNA-Seq technologies allowed us to explore the pig muscle transcriptome with an unprecedented detail. The aim of this study was to identify differentially-expressed genes between two groups of 6 sows belonging to an Iberian × Landrace backcross with extreme phenotypes according to FA profile.</div>
</front>
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<DateCreated><Year>2014</Year>
<Month>06</Month>
<Day>14</Day>
</DateCreated>
<DateCompleted><Year>2015</Year>
<Month>05</Month>
<Day>11</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>02</Month>
<Day>20</Day>
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<Issue>6</Issue>
<PubDate><Year>2014</Year>
</PubDate>
</JournalIssue>
<Title>PloS one</Title>
<ISOAbbreviation>PLoS ONE</ISOAbbreviation>
</Journal>
<ArticleTitle>Differences in muscle transcriptome among pigs phenotypically extreme for fatty acid composition.</ArticleTitle>
<Pagination><MedlinePgn>e99720</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0099720</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Besides having an impact on human health, the porcine muscle fatty acid profile determines meat quality and taste. The RNA-Seq technologies allowed us to explore the pig muscle transcriptome with an unprecedented detail. The aim of this study was to identify differentially-expressed genes between two groups of 6 sows belonging to an Iberian × Landrace backcross with extreme phenotypes according to FA profile.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">We sequenced the muscle transcriptome acquiring 787.5 M of 75 bp paired-end reads. About 85.1% of reads were mapped to the reference genome. Of the total reads, 79.1% were located in exons, 6.0% in introns and 14.9% in intergenic regions, indicating expressed regions not annotated in the reference genome. We identified a 34.5% of the intergenic regions as interspersed repetitive regions. We predicted a total of 2,372 putative proteins. Pathway analysis with 131 differentially-expressed genes revealed that the most statistically-significant metabolic pathways were related with lipid metabolism. Moreover, 18 of the differentially-expressed genes were located in genomic regions associated with IMF composition in an independent GWAS study in the same genetic background. Thus, our results indicate that the lipid metabolism of FAs is differently modulated when the FA composition in muscle differs. For instance, a high content of PUFA may reduce FA and glucose uptake resulting in an inhibition of the lipogenesis. These results are consistent with previous studies of our group analysing the liver and the adipose tissue transcriptomes providing a view of each of the main organs involved in lipid metabolism.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The results obtained in the muscle transcriptome analysis increase the knowledge of the gene regulation of IMF deposition, FA profile and meat quality, in terms of taste and nutritional value. Besides, our results may be important in terms of human health.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Puig-Oliveras</LastName>
<ForeName>Anna</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Departament de Genètica Animal, Centre de Recerca en Agrigenòmica (CRAG), Bellaterra, Spain; Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Ramayo-Caldas</LastName>
<ForeName>Yuliaxis</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Génétique Animale et Biologie Intégrative UMR1313 (GABI), Institut National de la Recherche Agronomique (INRA), Jouy-en-Josas, France.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Corominas</LastName>
<ForeName>Jordi</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Departament de Genètica Animal, Centre de Recerca en Agrigenòmica (CRAG), Bellaterra, Spain; Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Estellé</LastName>
<ForeName>Jordi</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Génétique Animale et Biologie Intégrative UMR1313 (GABI), Institut National de la Recherche Agronomique (INRA), Jouy-en-Josas, France; Génétique Animale et Biologie Intégrative UMR1313 (GABI), AgroParisTech, Jouy-en-Josas, France; Laboratoire de Radiobiologie et Etude du Génome (LREG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Jouy-en-Josas, France.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Pérez-Montarelo</LastName>
<ForeName>Dafne</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Departamento de Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hudson</LastName>
<ForeName>Nicholas J</ForeName>
<Initials>NJ</Initials>
<AffiliationInfo><Affiliation>Computational and Systems Biology, Commonwealth Scientific and Industrial Research Organisation (CSIRO) Animal, Food and Health SciencesQLD, Brisbane, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Casellas</LastName>
<ForeName>Joaquim</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain; Departament de Genètica i Millora Animal, Institut de Recerca i Tecnologies Agroalimentàries (IRTA), Lleida, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Folch</LastName>
<ForeName>Josep M</ForeName>
<Initials>JM</Initials>
<AffiliationInfo><Affiliation>Departament de Genètica Animal, Centre de Recerca en Agrigenòmica (CRAG), Bellaterra, Spain; Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ballester</LastName>
<ForeName>Maria</ForeName>
<Initials>M</Initials>
</Author>
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