Evidence map›Paper›PMID 33214767›Full record

ArticleCurrent genomics2020

Bacterial Operational Taxonomic Units Replace the Interactive Roles of Other Operational Taxonomic Units Under Strong Environmental Changes.

Rajiv Das Kangabam, Yumnam Silla, Gunajit Goswami, Madhumita Barooah

Open access · greenAbstract read
In one paragraph

Article in Current genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Rajiv Das Kangabam1Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, India; 2Advanced Computational and Data Sciences Division, CSIR- North East Institute of Science and Technology, Jorhat-785006, India; 3DBT North East Centre for Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, India.
Yumnam Silla1Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, India; 2Advanced Computational and Data Sciences Division, CSIR- North East Institute of Science and Technology, Jorhat-785006, India; 3DBT North East Centre for Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, India.
Gunajit Goswami1Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, India; 2Advanced Computational and Data Sciences Division, CSIR- North East Institute of Science and Technology, Jorhat-785006, India; 3DBT North East Centre for Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, India.
Madhumita Barooah1Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, India; 2Advanced Computational and Data Sciences Division, CSIR- North East Institute of Science and Technology, Jorhat-785006, India; 3DBT North East Centre for Agricultural Biotechnology, Assam Agricultural University, Jorhat-785013, India.
Assam Agricultural University · INNorth East Institute of Science and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroorganisms are an important component of an aquatic ecosystem and play a critical role in the biogeochemical cycle which influences the circulation of the materials and maintains the balance in aquatic ecosystems.

objectiveThe seasonal variation along with the impact of anthropogenic activities, water quality, bacterial community composition and dynamics in the Loktak Lake, the largest freshwater lake of North East India, located in the Indo-Burma hotspot region was assessed during post-monsoon and winter season through metagenome analysis.

methodsFive soil samples were collected during Post-monsoon and winter season from the Loktak Lake that had undergone different anthropogenic impacts. The metagenomic DNA of the soil samples was extracted using commercial metagenomic DNA extraction kits following the manufacturer's instruction. The extracted DNA was used to prepare the NGS library and sequenced in the Illumina MiSeq platform.

resultsMetagenomics analysis reveals Proteobacteria as the predominant community followed by Acidobacteria and Actinobacteria. The presence of these groups of bacteria indicates nitrogen fixation, oxidation of iron, sulfur, methane, and source of novel antibiotic candidates. The bacterial members belonging to different groups were involved in various biogeochemical processes, including fixation of carbon and nitrogen, producing streptomycin, gramicidin and perform oxidation of sulfur, sulfide, ammonia, and methane.

conclusionThe outcome of this study provides a valuable dataset representing a seasonal profile across various land use and analysis, targeting at establishing an understanding of how the microbial communities vary across the land use and the role of keystone taxa. The findings may contribute to searches for microbial bio-indicators as biodiversity markers for improving the aquatic ecosystem of the Loktak Lake.

Indexed as

biogeochemicalbio-indicatorskeystoneland usemetagenomicsmicrobial diversityWetlands

Identifiers

PMID33214767
PMCPMC7604743
OpenAlexW3042619762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.