Host genetic control on rumen microbiota and its impact on dairy traits in sheep.


Journal

Genetics, selection, evolution : GSE
ISSN: 1297-9686
Titre abrégé: Genet Sel Evol
Pays: France
ID NLM: 9114088

Informations de publication

Date de publication:
24 Nov 2022
Historique:
received: 03 05 2022
accepted: 09 11 2022
entrez: 26 11 2022
pubmed: 27 11 2022
medline: 30 11 2022
Statut: epublish

Résumé

Milk yield and fine composition in sheep depend on the volatile and long-chain fatty acids, microbial proteins, vitamins produced through feedstuff digestion by the rumen microbiota. In cattle, the host genome has been shown to have a low to moderate genetic control on rumen microbiota abundance but a high control on dairy traits with heritabilities higher than 0.30. There is little information on the genetic correlations and quantitative trait loci (QTL) that simultaneously affect rumen microbiota abundance and dairy traits in ruminants, especially in sheep. Thus, our aim was to quantify the effect of the host genetics on rumen bacterial abundance and the genetic correlations between rumen bacterial abundance and several dairy traits, and to identify QTL that are associated with both rumen bacterial abundance and milk traits. Our results in Lacaune sheep show that the heritability of rumen bacterial abundance ranges from 0 to 0.29 and that the heritability of 306 operational taxonomic units (OTU) is significantly different from 0. Of these 306 OTU, 96 that belong mainly to the Prevotellaceae, Lachnospiraceae and Ruminococcaceae bacterial families show strong genetic correlations with milk fatty acids and proteins (absolute values ranging from 0.33 to 0.99). Genome-wide association studies revealed a QTL for alpha-lactalbumin concentration in milk on Ovis aries chromosome (OAR) 11, and six QTL for rumen bacterial abundances i.e., for two OTU belonging to the genera Prevotella (OAR3 and 5), Rikeneleaceae_RC9_gut_group (OAR5), Ruminococcus (OAR5), an unknown genus of order Clostridia UCG-014 (OAR10), and CAG-352 (OAR11). None of these detected regions are simultaneously associated with rumen bacterial abundance and dairy traits, but the bacterial families Prevotellaceae, Lachnospiraceae and F082 show colocalized signals on OAR3, 5, 15 and 26. In Lacaune dairy sheep, rumen microbiota abundance is partially controlled by the host genetics and is poorly genetically linked with milk protein and fatty acid compositions, and three main bacterial families, Prevotellaceae, Lachnospiraceae and F082, show specific associations with OAR3, 5, 15 and 26.

Sections du résumé

BACKGROUND BACKGROUND
Milk yield and fine composition in sheep depend on the volatile and long-chain fatty acids, microbial proteins, vitamins produced through feedstuff digestion by the rumen microbiota. In cattle, the host genome has been shown to have a low to moderate genetic control on rumen microbiota abundance but a high control on dairy traits with heritabilities higher than 0.30. There is little information on the genetic correlations and quantitative trait loci (QTL) that simultaneously affect rumen microbiota abundance and dairy traits in ruminants, especially in sheep. Thus, our aim was to quantify the effect of the host genetics on rumen bacterial abundance and the genetic correlations between rumen bacterial abundance and several dairy traits, and to identify QTL that are associated with both rumen bacterial abundance and milk traits.
RESULTS RESULTS
Our results in Lacaune sheep show that the heritability of rumen bacterial abundance ranges from 0 to 0.29 and that the heritability of 306 operational taxonomic units (OTU) is significantly different from 0. Of these 306 OTU, 96 that belong mainly to the Prevotellaceae, Lachnospiraceae and Ruminococcaceae bacterial families show strong genetic correlations with milk fatty acids and proteins (absolute values ranging from 0.33 to 0.99). Genome-wide association studies revealed a QTL for alpha-lactalbumin concentration in milk on Ovis aries chromosome (OAR) 11, and six QTL for rumen bacterial abundances i.e., for two OTU belonging to the genera Prevotella (OAR3 and 5), Rikeneleaceae_RC9_gut_group (OAR5), Ruminococcus (OAR5), an unknown genus of order Clostridia UCG-014 (OAR10), and CAG-352 (OAR11). None of these detected regions are simultaneously associated with rumen bacterial abundance and dairy traits, but the bacterial families Prevotellaceae, Lachnospiraceae and F082 show colocalized signals on OAR3, 5, 15 and 26.
CONCLUSIONS CONCLUSIONS
In Lacaune dairy sheep, rumen microbiota abundance is partially controlled by the host genetics and is poorly genetically linked with milk protein and fatty acid compositions, and three main bacterial families, Prevotellaceae, Lachnospiraceae and F082, show specific associations with OAR3, 5, 15 and 26.

Identifiants

pubmed: 36434501
doi: 10.1186/s12711-022-00769-9
pii: 10.1186/s12711-022-00769-9
pmc: PMC9694848
doi:

Substances chimiques

Fatty Acids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

77

Informations de copyright

© 2022. The Author(s).

Références

BMC Bioinformatics. 2014 Jul 19;15:246
pubmed: 25038782
Genet Res (Camb). 2011 Oct;93(5):357-66
pubmed: 21767459
PLoS One. 2012;7(10):e47782
pubmed: 23094085
Commun Biol. 2022 Apr 12;5(1):350
pubmed: 35414107
Front Microbiol. 2017 Nov 15;8:2224
pubmed: 29187837
PLoS One. 2021 Jul 26;16(7):e0254874
pubmed: 34310617
Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6
pubmed: 23193283
PLoS One. 2008 Jul 30;3(7):e2836
pubmed: 18665274
J Dairy Sci. 2009 Sep;92(9):4656-63
pubmed: 19700729
Genet Sel Evol. 2019 May 29;51(1):23
pubmed: 31142263
Animals (Basel). 2020 Sep 01;10(9):
pubmed: 32882861
Nat Methods. 2013 Jan;10(1):57-9
pubmed: 23202435
J Anim Breed Genet. 2020 Jan;137(1):14-22
pubmed: 31701578
Bioinformatics. 2018 Aug 15;34(16):2870-2878
pubmed: 29608657
Anim Genet. 2016 Dec;47(6):717-726
pubmed: 27435993
J Dairy Sci. 2009 Jun;92(6):2971-5
pubmed: 19448030
PLoS Genet. 2014 Mar 27;10(3):e1004198
pubmed: 24675618
Microbiome. 2019 Jun 13;7(1):92
pubmed: 31196178
J Dairy Sci. 2003 Apr;86(4):1476-81
pubmed: 12741573
Sci Rep. 2015 Oct 09;5:14567
pubmed: 26449758
Sci Rep. 2020 Sep 15;10(1):15101
pubmed: 32934296
Genet Sel Evol. 2019 Jun 20;51(1):28
pubmed: 31221101
Comput Struct Biotechnol J. 2020 Dec 30;19:530-544
pubmed: 33510859
Animal. 2012 Oct;6(10):1565-71
pubmed: 22717310
J Dairy Sci. 2014;97(1):17-35
pubmed: 24268398
Nucleic Acids Res. 2007;35(18):e120
pubmed: 17881377
Proc Natl Acad Sci U S A. 2021 Dec 21;118(51):
pubmed: 34862327
PLoS Genet. 2018 Oct 12;14(10):e1007580
pubmed: 30312316
Genet Sel Evol. 2021 Aug 6;53(1):65
pubmed: 34362312
ISME J. 2020 Aug;14(8):2019-2033
pubmed: 32366970
Sci Adv. 2019 Jul 03;5(7):eaav8391
pubmed: 31281883
PLoS Genet. 2015 Dec 11;11(12):e1005629
pubmed: 26658352
Bioinformatics. 2018 Apr 15;34(8):1287-1294
pubmed: 29228191
Genet Sel Evol. 2019 Mar 5;51(1):9
pubmed: 30836944
J Dairy Sci. 2008 Nov;91(11):4414-23
pubmed: 18946147
Genetics. 2021 Oct 2;219(2):
pubmed: 34849886

Auteurs

Guillermo Martinez Boggio (G)

GenPhySE, INRAE, ENVT, Université de Toulouse, 24 Chemin de Borde Rouge, 31326, Castanet-Tolosan, France. guillermo.martinez-boggio@inrae.fr.

Annabelle Meynadier (A)

GenPhySE, INRAE, ENVT, Université de Toulouse, 24 Chemin de Borde Rouge, 31326, Castanet-Tolosan, France.

Albert Johannes Buitenhuis (AJ)

Center for Quantitative Genetics and Genomics, Aarhus University, Blichers Allé 20, 8830, Foulum, Denmark.

Christel Marie-Etancelin (C)

GenPhySE, INRAE, ENVT, Université de Toulouse, 24 Chemin de Borde Rouge, 31326, Castanet-Tolosan, France.

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Classifications MeSH