ArticleMolecular biology reports2020
MetaRNAseq analysis of surti buffalo rumen content reveals that transcriptionally active microorganisms need not be abundant.
Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Metagenomic Analysis Revealed Differences in Composition and Function Between Liquid-Associated and Solid-Associated Microorganisms of Sheep Rumen.Frontiers in microbiology · 2022Article
- Characterizing rumen microbiota and CAZyme profile of Indian dromedary camel (Camelus dromedarius) in response to different roughages.Scientific reports · 2021Article
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Authors and funding
8 authors at 1 institution in 1 country.
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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.
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