» Articles » PMID: 35974086

Metaproteome Plasticity Sheds Light on the Ecology of the Rumen Microbiome and Its Connection to Host Traits

Overview
Journal ISME J
Date 2022 Aug 16
PMID 35974086
Authors
Affiliations
Soon will be listed here.
Abstract

The arsenal of genes that microbes express reflect the way in which they sense their environment. We have previously reported that the rumen microbiome composition and its coding capacity are different in animals having distinct feed efficiency states, even when fed an identical diet. Here, we reveal that many microbial populations belonging to the bacteria and archaea domains show divergent proteome production in function of the feed efficiency state. Thus, proteomic data serve as a strong indicator of host feed efficiency state phenotype, overpowering predictions based on genomic and taxonomic information. We highlight protein production of specific phylogenies associated with each of the feed efficiency states. We also find remarkable plasticity of the proteome both in the individual population and at the community level, driven by niche partitioning and competition. These mechanisms result in protein production patterns that exhibit functional redundancy and checkerboard distribution that are tightly linked to the host feed efficiency phenotype. By linking microbial protein production and the ecological mechanisms that act within the microbiome feed efficiency states, our present work reveals a layer of complexity that bears immense importance to the current global challenges of food security and sustainability.

Citing Articles

Deciphering functional groups of rumen microbiome and their underlying potentially causal relationships in shaping host traits.

Xue M, Xie Y, Zang X, Zhong Y, Ma X, Sun H Imeta. 2024; 3(4):e225.

PMID: 39135684 PMC: 11316931. DOI: 10.1002/imt2.225.


Life at the borderlands: microbiomes of interfaces critical to One Health.

Law S, Mathes F, Paten A, Alexandre P, Regmi R, Reid C FEMS Microbiol Rev. 2024; 48(2).

PMID: 38425054 PMC: 10977922. DOI: 10.1093/femsre/fuae008.


Core microbiota for nutrient digestion remained and ammonia utilization increased after continuous batch culture of rumen microbiota .

Liu M, Wang T, Wang L, Xiao H, Li J, Duan C Front Microbiol. 2024; 15:1331977.

PMID: 38328430 PMC: 10848171. DOI: 10.3389/fmicb.2024.1331977.


- Invited Review - Understanding the functionality of the rumen microbiota: searching for better opportunities for rumen microbial manipulation.

Qi W, Xue M, Jia M, Zhang S, Yan Q, Sun H Anim Biosci. 2024; 37(2):370-384.

PMID: 38186256 PMC: 10838668. DOI: 10.5713/ab.23.0308.


AnimalMetaOmics: a multi-omics data resources for exploring animal microbial genomes and microbiomes.

Hu R, Li F, Chen Y, Liu C, Li J, Ma Z Nucleic Acids Res. 2023; 52(D1):D690-D700.

PMID: 37897361 PMC: 10768125. DOI: 10.1093/nar/gkad931.


References
1.
Roehe R, Dewhurst R, Duthie C, Rooke J, McKain N, Ross D . Bovine Host Genetic Variation Influences Rumen Microbial Methane Production with Best Selection Criterion for Low Methane Emitting and Efficiently Feed Converting Hosts Based on Metagenomic Gene Abundance. PLoS Genet. 2016; 12(2):e1005846. PMC: 4758630. DOI: 10.1371/journal.pgen.1005846. View

2.
Jami E, White B, Mizrahi I . Potential role of the bovine rumen microbiome in modulating milk composition and feed efficiency. PLoS One. 2014; 9(1):e85423. PMC: 3899005. DOI: 10.1371/journal.pone.0085423. View

3.
Pedrioli P . Trans-proteomic pipeline: a pipeline for proteomic analysis. Methods Mol Biol. 2009; 604:213-38. DOI: 10.1007/978-1-60761-444-9_15. View

4.
Honan M, Greenwood S . Characterization of variations within the rumen metaproteome of Holstein dairy cattle relative to morning feed offering. Sci Rep. 2020; 10(1):3179. PMC: 7035244. DOI: 10.1038/s41598-020-59974-5. View

5.
Li D, Luo R, Liu C, Leung C, Ting H, Sadakane K . MEGAHIT v1.0: A fast and scalable metagenome assembler driven by advanced methodologies and community practices. Methods. 2016; 102:3-11. DOI: 10.1016/j.ymeth.2016.02.020. View