Literature DB >> 32557173

MetaRNAseq analysis of surti buffalo rumen content reveals that transcriptionally active microorganisms need not be abundant.

Ankit T Hinsu1, Avani B Patel1, Ramesh J Pandit2, Jalpa R Thakkar2, Ravi K Shah2, Subhash J Jakhesara2, Prakash G Koringa2, Chaitanya G Joshi3.   

Abstract

The present study describes rumen microbiota composition and their functional profiles in Indian Surti buffaloes by metagenomic (MG) and metatranscriptomic (MT) approaches. The study compares samples from buffaloes fed three different proportion of roughages; green and dry type of roughage; and different rumen liquor fractions. Irrespective of sample, Bacteroidetes and Firmicutes were the most predominant bacterial phyla, followed by Proteobacteria, Fibrobacteres and Actinobacteria while, Prevotella, Bacteroides, Ruminococcus and Clostridium were the most abundant genera. Different proportions of taxa were observed in both MG and MT approaches indicating the differences in organisms present and organisms active in the rumen. Higher proportions of fungal taxa were observed in MT while important organisms like Fibrobacter and Butyrivibrio and abundant organisms like Bacteroides and Prevotella were underrepresented in MT data. Functionally, higher proportions of genes involved in Carbohydrate metabolism, Amino acid metabolism and Translation were observed in both data. Genes involved in Metabolism were observed to be underrepresented in MT data while, those involved in Genetic information processing were overrepresented in MT data. Further, genes involved in Carbohydrate metabolism were overexpressed compared to genes involved in Amino acid metabolism in MT data compared to MG data which had higher proportion of genes involved in Amino acid metabolism than Carbohydrate metabolism. In all significant differences were observed between both approaches, different fractions of rumen liquor (liquid and solid) and different proportions of roughage in diet.

Entities:  

Keywords:  Buffalo; Metagenomics; Metatranscriptomics; Microbiome; Rumen

Mesh:

Year:  2020        PMID: 32557173     DOI: 10.1007/s11033-020-05581-6

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  2 in total

1.  Metagenomic Analysis Revealed Differences in Composition and Function Between Liquid-Associated and Solid-Associated Microorganisms of Sheep Rumen.

Authors:  Manchun Su; Ziyun Hao; Huibin Shi; Taotao Li; Huihui Wang; Qiao Li; Yong Zhang; Youji Ma
Journal:  Front Microbiol       Date:  2022-05-27       Impact factor: 6.064

2.  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

  2 in total

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