Literature DB >> 31062682

Invited review: Application of meta-omics to understand the dynamic nature of the rumen microbiome and how it responds to diet in ruminants.

R J Gruninger1, G O Ribeiro2, A Cameron1, T A McAllister1.   

Abstract

Ruminants are unique among livestock due to their ability to efficiently convert plant cell wall carbohydrates into meat and milk. This ability is a result of the evolution of an essential symbiotic association with a complex microbial community in the rumen that includes vast numbers of bacteria, methanogenic archaea, anaerobic fungi and protozoa. These microbes produce a diverse array of enzymes that convert ingested feedstuffs into volatile fatty acids and microbial protein which are used by the animal for growth. Recent advances in high-throughput sequencing and bioinformatic analyses have helped to reveal how the composition of the rumen microbiome varies significantly during the development of the ruminant host, and with changes in diet. These sequencing efforts are also beginning to explain how shifts in the microbiome affect feed efficiency. In this review, we provide an overview of how meta-omics technologies have been applied to understanding the rumen microbiome, and the impact that diet has on the rumen microbial community.

Entities:  

Keywords:  feed digestion; herbivore; metagenome; metatranscriptome; microbiology

Mesh:

Year:  2019        PMID: 31062682     DOI: 10.1017/S1751731119000752

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  7 in total

1.  Metagenomic analysis reveals a dynamic microbiome with diversified adaptive functions to utilize high lignocellulosic forages in the cattle rumen.

Authors:  Javad Gharechahi; Mohammad Farhad Vahidi; Mohammad Bahram; Jian-Lin Han; Xue-Zhi Ding; Ghasem Hosseini Salekdeh
Journal:  ISME J       Date:  2020-12-01       Impact factor: 10.302

2.  Dietary wheat and reduced methane yield are linked to rumen microbiome changes in dairy cows.

Authors:  Keith W Savin; Peter J Moate; S R O Williams; Carolyn Bath; Joanne Hemsworth; Jianghui Wang; Doris Ram; Jody Zawadzki; Simone Rochfort; Benjamin G Cocks
Journal:  PLoS One       Date:  2022-05-19       Impact factor: 3.240

3.  Dynamics and stabilization of the rumen microbiome in yearling Tibetan sheep.

Authors:  Lei Wang; Ke Zhang; Chenguang Zhang; Yuzhe Feng; Xiaowei Zhang; Xiaolong Wang; Guofang Wu
Journal:  Sci Rep       Date:  2019-12-23       Impact factor: 4.379

4.  The Effect of a High-Grain Diet on the Rumen Microbiome of Goats with a Special Focus on Anaerobic Fungi.

Authors:  Katerina O Fliegerova; Sabine M Podmirseg; Julia Vinzelj; Diego J Grilli; Simona Kvasnová; Dagmar Schierová; Hana Sechovcová; Jakub Mrázek; Giuliana Siddi; Graciela N Arenas; Giuseppe Moniello
Journal:  Microorganisms       Date:  2021-01-12

5.  Host Species Affects Bacterial Evenness, but Not Diversity: Comparison of Fecal Bacteria of Cows and Goats Offered the Same Diet.

Authors:  Tiziana Maria Mahayri; Kateřina Olša Fliegerová; Silvana Mattiello; Stefania Celozzi; Jakub Mrázek; Chahrazed Mekadim; Hana Sechovcová; Simona Kvasnová; Elie Atallah; Giuseppe Moniello
Journal:  Animals (Basel)       Date:  2022-08-09       Impact factor: 3.231

6.  Characterizing rumen microbiota and CAZyme profile of Indian dromedary camel (Camelus dromedarius) in response to different roughages.

Authors:  Ankit T Hinsu; Nilam J Tulsani; Ketankumar J Panchal; Ramesh J Pandit; Basanti Jyotsana; Nishant A Dafale; Niteen V Patil; Hemant J Purohit; Chaitanya G Joshi; Subhash J Jakhesara
Journal:  Sci Rep       Date:  2021-04-30       Impact factor: 4.379

Review 7.  Integration of Multiplied Omics, a Step Forward in Systematic Dairy Research.

Authors:  Yingkun Zhu; Dengpan Bu; Lu Ma
Journal:  Metabolites       Date:  2022-03-04
  7 in total

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