Evidence map›Paper›PMID 32557173›Full record

ArticleMolecular biology reports2020

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

Ankit T Hinsu, Avani B Patel, Ramesh J Pandit, Jalpa R Thakkar, Ravi K Shah, Subhash J Jakhesara, Prakash G Koringa, Chaitanya G Joshi

Abstract read
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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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ankit T HinsuDepartment of Animal Genetics & Breeding, College of Veterinary Sciences & A.H, Anand Agricultural University, Anand, Gujarat, India.
Avani B PatelDepartment of Animal Genetics & Breeding, College of Veterinary Sciences & A.H, Anand Agricultural University, Anand, Gujarat, India.
Ramesh J PanditDepartment of Animal Biotechnology, College of Veterinary Sciences & A.H, Anand Agricultural University, Anand, Gujarat, India.
Jalpa R ThakkarDepartment of Animal Biotechnology, College of Veterinary Sciences & A.H, Anand Agricultural University, Anand, Gujarat, India.
Ravi K ShahDepartment of Animal Biotechnology, College of Veterinary Sciences & A.H, Anand Agricultural University, Anand, Gujarat, India.
Subhash J JakhesaraDepartment of Animal Biotechnology, College of Veterinary Sciences & A.H, Anand Agricultural University, Anand, Gujarat, India.
Prakash G KoringaDepartment of Animal Biotechnology, College of Veterinary Sciences & A.H, Anand Agricultural University, Anand, Gujarat, India.
Chaitanya G JoshiDepartment of Animal Biotechnology, College of Veterinary Sciences & A.H, Anand Agricultural University, Anand, Gujarat, India. cgjoshi@rediffmail.com.
Anand Agricultural University · IN

Funding

Indian Council of Agricultural Research AAU/GVC/CPCSEA-IAEC/108/2013 dated 05/10/2013
6 · The paper itself

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.

Indexed as

Gastrointestinal MicrobiomeMetagenomeTranscriptomeAnimalsBuffaloesCarbohydrate MetabolismRNA-SeqRumenBuffaloMetagenomicsMetatranscriptomicsMicrobiomeRumen

Identifiers

PMID32557173
OpenAlexW3036822071

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.