Background
The symbiotic rumen microbiota is essential for the digestion of plant fibers and contributes to the variation of production and health traits in ruminants. However, to date, the heritability of rumen microbial features and host genetic components associated with the rumen microbiota, as well as whether such genetic components are animal performance relevant, are largely unknown.
Results
In the present study, we assessed rumen microbiota from a cohort of 709 beef cattle and showed that multiple factors including breed, sex, and diet drove the variation of rumen microbiota among animals. The diversity indices, the relative abundance of ~ 34% of microbial taxa (59 out of 174), and the copy number of total bacteria had a heritability estimate (
h
2
) ≥ 0.15, suggesting that they are heritable elements affected by host additive genetics. These moderately heritable rumen microbial features were also found to be associated with host feed efficiency traits and rumen metabolic measures (volatile fatty acids). Moreover, 19 single nucleotide polymorphisms (SNPs) located on 12 bovine chromosomes were found to be associated with 14 (12 of them had
h
2
≥ 0.15) rumen microbial taxa, and five of these SNPs were known quantitative trait loci for feed efficiency in cattle.
Conclusions
These findings suggest that some rumen microbial features are heritable and could be influenced by host genetics, highlighting a potential to manipulate and obtain a desirable and efficient rumen microbiota using genetic selection and breeding. It could be a useful strategy to further improve feed efficiency and optimize rumen fermentation through targeting both cattle and their rumen microbiota.
Electronic supplementary material
The online version of this article (10.1186/s40168-019-0699-1) contains supplementary material, which is available to authorized users.
Ten strains, BG-AF3-AT, pH52_RY, WF-MT5-AT, BG-MG3-A, Lr3000T, RRLNB_1_1, STM3_1T, STM2_1, WF-MO7-1T and WF-MA3-C, were isolated from intestinal or faecal samples of rodents, pheasant and primate. 16S rRNA gene analysis identified them as
Limosilactobacillus reuteri
. However, average nucleotide identity and digital DNA–DNA hybridization values based on whole genomes were below 95 and 70 %, respectively, and thus below the threshold levels for bacterial species delineation. Based on genomic, chemotaxonomic and morphological analyses, we propose five novel species with the names Limosilactobacillus balticus sp. nov. (type strain BG-AF3-AT=DSM 110574T=LMG 31633T), Limosilactobacillus agrestis sp. nov. (type strain WF-MT5-AT=DSM 110569T=LMG 31629T), Limosilactobacillus albertensis sp. nov. (type strain Lr3000T=DSM 110573T=LMG 31632T), Limosilactobacillus rudii sp. nov. (type strain STM3_1T=DSM 110572T=LMG 31631T) and Limosilactobacillus fastidiosus sp. nov. (type strain WF-MO7-1T=DSM 110576T=LMG 31630T). Core genome phylogeny and experimental evidence of host adaptation of strains of
L. reuteri
further provide a strong rationale to consider a number of distinct lineages within this species as subspecies. Here we propose six subspecies of
L. reuteri
:
L. reuteri
subsp. kinnaridis subsp. nov. (type strain AP3T=DSM 110703T=LMG 31724T),
L. reuteri
subsp. porcinus subsp. nov. (type strain 3c6T=DSM 110571T=LMG 31635T),
L. reuteri
subsp. murium subsp. nov. (type strain lpuph1T=DSM 110570T=LMG 31634T),
L. reuteri
subsp.
reuteri
subsp. nov. (type strain F 275T=DSM 20016T=ATCC 23272T),
L. reuteri
subsp. suis subsp. nov. (type strain 1063T=ATCC 53608T=LMG 31752T) and
L. reuteri
subsp. rodentium subsp. nov. (type strain 100-23T=DSM 17509T=CIP 109821T).
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