| Literature DB >> 33997331 |
Kaizhen Liu1, Yangdong Zhang1, Zhongtang Yu2, Qingbiao Xu3, Nan Zheng1, Shengguo Zhao1, Guoxin Huang1, Jiaqi Wang1.
Abstract
Rumen microbiota has a close and intensive interaction with the ruminants. Microbiota residing in the rumen digests and ferments plant organic matters into nutrients that are subsequently utilized by the host, making ruminants a unique group of animals that can convert plant materials indigestible by humans into high-quality animal protein as meat and milk. Many studies using meta-omics technologies have demonstrated the relationships between rumen microbiome and animal phenotypes associated with nutrient metabolism. Recently, the causality and physiological mechanisms underpinning the host-microbiota interactions have attracted tremendous research interest among researchers. This review discusses the host-microbiota interactions and the factors affecting these interactions in ruminants and provides a summary of the advances in research on animal husbandry. Understanding the microbiota composition, the functions of key bacteria, and the host-microbiota interaction is crucial for the development of knowledge-based strategies to enhance animal productivity and host health.Entities:
Keywords: Host-microbiota interaction; Meta-omics; Microbiota; Nutrient metabolism; Productivity
Year: 2020 PMID: 33997331 PMCID: PMC8110878 DOI: 10.1016/j.aninu.2020.12.001
Source DB: PubMed Journal: Anim Nutr ISSN: 2405-6383
Factors influencing the rumen microbiota.
| Factor | Model | Treatment | Technology | Results | Explanation | References |
|---|---|---|---|---|---|---|
| Age | Bovine | 1 day, 3 days, 2 months, 6 months, 2 years old | 454 tag-encoded amplicon pyrosequencing | Diversity and within-group similarity increase with age, and each group has its own distinct microbiota | ||
| Calf | 14 days, 42 days old | 16S rRNA gene sequencing, whole-genome shotgun approach | Rumen microbiota of pre-ruminant calves displays compositional heterogeneity, but functional classes between the 2 age groups are similar | GIT development seemingly has an impact on microbial diversity | ||
| Diet | Goat | Complete feed all forages | 16S rDNA sequencing | The richness of fiber-, protein-, and fat-digesting bacteria is affected by diet | ||
| Holstein dairy cows | Mixture of corn stover And alfalfa hay, | Metabolomics | Roughage type can significantly influence the ruminal microbial metabolome, especially organic acids, amines, and amino acids | Ruminal bacteria are increased with increasing associated substrates | ||
| Dairy calves | MR, MR + S | DGGE | Feeding solid feed affects bacterial diversity, expression of | |||
| Genetic | Cattle bison | Transfer of rumen contents from bison to cattle | 16S rRNA gene sequencing | Inoculation with bison rumen contents alters the cattle rumen microbiome and metabolism | The rumen microbiome in cattle and bison is distinct | |
| Dairy cows | Forty-severn animals are used to estimate genotypic, 78 Holstein-Friesian dairy cows are used to assess rumen microbiota. | SNP-based heritability estimates and 16S rRNA gene sequencing | Host genetic variation is associated with specific microbes | |||
| Bovine | 2 × 2 factorial analysis of breed types and diets | Metagenomics | Host genetics shapes the microbiome | |||
| Cattle, bison | Transfer of rumen contents from bison to cattle | Inoculation with bison rumen contents alters the cattle rumen microbiome and metabolism | ||||
| Feed efficiency | Milking cows | Feed-efficient, feed-inefficient | 16S rRNA gene sequencing, shotgun DNA sequencing | Microbial-related genes and metabolic pathways affect host feed efficiency | ||
| Beef cattle | Feed-efficient, feed-inefficient | Metatranscriptomics |
GIT = gastrointestinal tract; MR = milk replacer; MR + S = milk replacer + calf starter; DGGE = denaturing gradient gel electrophoresis; TLR = Toll-like receptors; PGLYRP1 = peptidoglycan recognition protein 1; SNP = single nucleotide polymorphism.