Literature DB >> 29859694

Symposium review: Understanding diet-microbe interactions to enhance productivity of dairy cows.

Dipti W Pitta1, Nagaraju Indugu2, Linda Baker2, Bonnie Vecchiarelli2, Graeme Attwood3.   

Abstract

Ruminants are dependent on the microbiota (bacteria, protozoa, archaea, and fungi) that inhabit the reticulo-rumen for digestion of feedstuffs. Nearly 70% of energy and 50% of protein requirements for dairy cows are met by microbial fermentation in the rumen, emphasizing the need to characterize the role of microbes in feed breakdown and nutrient utilization. Over the past 2 decades, next-generation sequencing technologies have allowed for rapid expansion of knowledge concerning microbial populations and alterations in response to forages, concentrates, supplements, and probiotics in the rumen. Advances in gene sequencing and emerging bioinformatic tools have allowed for increased throughput of data to aid in our understanding of the functional relevance of microbial genomes. In particular, metagenomics can identify specific genes involved in metabolic pathways, and metatranscriptomics can describe the transcriptional activity of microbial genes. These powerful approaches help untangle the complex interactions between microbes and dietary nutrients so that we can more fully understand the physiology of feed digestion in the rumen. Application of genomics-based approaches offers promise in unraveling microbial niches and respective gene repertoires to potentiate fiber and nonfiber carbohydrate digestion, microbial protein synthesis, and healthy biohydrogenation. New information on microbial genomics and interactions with dietary components will more clearly define pathways in the rumen to positively influence milk yield and components.
Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dairy cow; diet–microbe interaction; omics approach; productivity

Mesh:

Year:  2018        PMID: 29859694     DOI: 10.3168/jds.2017-13858

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  6 in total

Review 1.  Nutritional Modulation, Gut, and Omics Crosstalk in Ruminants.

Authors:  Mohamed Abdelrahman; Wei Wang; Aftab Shaukat; Muhammad Fakhar-E-Alam Kulyar; Haimiao Lv; Adili Abulaiti; Zhiqiu Yao; Muhammad Jamil Ahmad; Aixin Liang; Liguo Yang
Journal:  Animals (Basel)       Date:  2022-04-12       Impact factor: 3.231

2.  Ruminal bacterial community is associated with the variations of total milk solid content in Holstein lactating cows.

Authors:  Kaizhen Liu; Yangdong Zhang; Guoxin Huang; Nan Zheng; Shengguo Zhao; Jiaqi Wang
Journal:  Anim Nutr       Date:  2022-01-22

3.  Enteric methane mitigation interventions.

Authors:  Julia Q Fouts; Mallory C Honan; Breanna M Roque; Juan M Tricarico; Ermias Kebreab
Journal:  Transl Anim Sci       Date:  2022-04-08

4.  Diet Shift May Trigger LuxS/AI-2 Quorum Sensing in Rumen Bacteria.

Authors:  Xiao Wei; Tanghui Long; Yanjiao Li; Kehui Ouyang; Qinghua Qiu
Journal:  Bioengineering (Basel)       Date:  2022-08-10

5.  Using Structural Equation Modeling to Understand Interactions Between Bacterial and Archaeal Populations and Volatile Fatty Acid Proportions in the Rumen.

Authors:  Veronica Kaplan-Shabtai; Nagaraju Indugu; Meagan Leslie Hennessy; Bonnie Vecchiarelli; Joseph Samuel Bender; Darko Stefanovski; Camila Flavia De Assis Lage; Susanna Elisabeth Räisänen; Audino Melgar; Krum Nedelkov; Molly Elizabeth Fetter; Andrea Fernandez; Addison Spitzer; Alexander Nikolov Hristov; Dipti Wilhelmina Pitta
Journal:  Front Microbiol       Date:  2021-06-09       Impact factor: 5.640

6.  Temporal Dynamics in Rumen Bacterial Community Composition of Finishing Steers during an Adaptation Period of Three Months.

Authors:  Qinghua Qiu; Chaoyu Gao; Zhibiao Gao; Muhammad Aziz Ur Rahman; Yang He; Binghai Cao; Huawei Su
Journal:  Microorganisms       Date:  2019-10-01
  6 in total

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