Evidence map›Paper›PMID 25256302›Full record

ArticleMicrobial ecology2015

Spatiotemporal analysis of bacterial diversity in sediments of Sundarbans using parallel 16S rRNA gene tag sequencing.

Pijush Basak, Niladri Shekhar Majumder, Sudip Nag, Anish Bhattacharyya, Debojyoti Roy, Arpita Chakraborty, Sohan SenGupta, Arunava Roy, Arghya Mukherjee, Rudradip Pattanayak and 3 more

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Article in Microbial ecology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 89 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

13 authors at 3 institutions in 1 country.

Pijush BasakDepartment of Biochemistry, University College of Science, University of Calcutta, 35, Ballygunge Circular Road, Calcutta, 700019, India.
Niladri Shekhar Majumder
Sudip Nag
Anish Bhattacharyya
Debojyoti Roy
Arpita Chakraborty
Sohan SenGupta
Arunava Roy
Arghya Mukherjee
Rudradip Pattanayak
Abhrajyoti Ghosh
Dhrubajyoti Chattopadhyay
Maitree Bhattacharyya
University of Calcutta · INIndian Institute of Management Calcutta · INRoche (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of temporal and spatial variations on the microbial community composition was assessed in the unique coastal mangrove of Sundarbans using parallel 16S rRNA gene pyrosequencing. The total sediment DNA was extracted and subjected to the 16S rRNA gene pyrosequencing, which resulted in 117 Mbp of data from three experimental stations. The taxonomic analysis of the pyrosequencing data was grouped into 24 different phyla. In general, Proteobacteria were the most dominant phyla with predominance of Deltaproteobacteria, Alphaproteobacteria, and Gammaproteobacteria within the sediments. Besides Proteobacteria, there are a number of sequences affiliated to the following major phyla detected in all three stations in both the sampling seasons: Actinobacteria, Bacteroidetes, Planctomycetes, Acidobacteria, Chloroflexi, Cyanobacteria, Nitrospira, and Firmicutes. Further taxonomic analysis revealed abundance of micro-aerophilic and anaerobic microbial population in the surface layers, suggesting anaerobic nature of the sediments in Sundarbans. The results of this study add valuable information about the composition of microbial communities in Sundarbans mangrove and shed light on possible transformations promoted by bacterial communities in the sediments.

Indexed as

MicrobiotaBacteriaDNA, BacterialGeologic SedimentsIndiaMolecular Sequence DataRNA, Ribosomal, 16SSequence Analysis, DNASpatio-Temporal AnalysisWetlandsDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID25256302
OpenAlexW2048229322

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.