A large database linking the rumen bacterial composition and milk traits in Lacaune sheep.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
07 01 2023
07 01 2023
Historique:
received:
14
10
2022
accepted:
15
12
2022
entrez:
7
1
2023
pubmed:
8
1
2023
medline:
11
1
2023
Statut:
epublish
Résumé
Ruminants are able to produce food for human consumption from plants, thanks to rumen bacteria. Bacteria are able to transform feed to microbial proteins and to biohydrogenate unsaturated fatty acids, contributing directly to fine milk composition. The database consists of daily records of milk yield, somatic cell score and 17 milk components such as fatty acids and proteins from 795 Lacaune dairy ewes. Ruminal samples were extracted from ewes using a gastric tube and sequenced to determine the bacterial composition by metabarcoding 16S rRNA gene on a next-generation sequencing platform. From bioinformatics analysis, 9,536,442 sequences were retained and re-grouped into 2,059 affiliated OTUs, represented by 751 to 168,617 sequences. Overall, 2,059 OTUs from 795 samples were attributed to 11 phyla. The most representative phyla were Bacteroidota (50.6%) and Firmicutes (43.6%), and the most abundant families were Prevotellaceae (37.9%), Lachnospiraceae (18.1%), Ruminococcaceae (8.97%). Both shared datasets will be useful for researchers to study the link between rumen bacteria and milk traits and to propose solutions to improve animal production and health.
Identifiants
pubmed: 36611050
doi: 10.1038/s41597-022-01912-3
pii: 10.1038/s41597-022-01912-3
pmc: PMC9825406
doi:
Substances chimiques
RNA, Ribosomal, 16S
0
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
17Informations de copyright
© 2023. The Author(s).
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