Evidence map›Paper›PMID 25780272›Full record

ArticleBioinformation2015

16SrRNA sequencing of Dye decolorizing bacteria isolated from Soil.

Avnish Kumar, Monika Asthana, Poonam Gupta, Shweta Yadav, Deepti Sharma, Km Neeraj Singh, Sunil Kumar

Abstract read
In one paragraph

Article in Bioinformation, 2015. 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
–field-weighted citation impact
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.

  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

7 authors.

Avnish KumarDepartment of Biotechnology, School of Life Sciences, Khandari Campus Dr. Bhim Rao Ambedkar University, Agra-282004, U.P., India.
Monika AsthanaDepartment of Biotechnology, School of Life Sciences, Khandari Campus Dr. Bhim Rao Ambedkar University, Agra-282004, U.P., India.
Poonam GuptaDepartment of Biotechnology, School of Life Sciences, Khandari Campus Dr. Bhim Rao Ambedkar University, Agra-282004, U.P., India.
Shweta YadavDepartment of Biotechnology, School of Life Sciences, Khandari Campus Dr. Bhim Rao Ambedkar University, Agra-282004, U.P., India.
Deepti SharmaDepartment of Biotechnology, School of Life Sciences, Khandari Campus Dr. Bhim Rao Ambedkar University, Agra-282004, U.P., India.
Km Neeraj SinghDepartment of Biotechnology, School of Life Sciences, Khandari Campus Dr. Bhim Rao Ambedkar University, Agra-282004, U.P., India.
Sunil KumarDepartment of Biotechnology, School of Life Sciences, Khandari Campus Dr. Bhim Rao Ambedkar University, Agra-282004, U.P., India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dye׳s residues in textile effluents are hazardous for humans and animals health. Such pollutants can be degraded into non-harmful molecules using biological approaches that are considered cheaper and ecologically safer. Isolated 15 bacterial cultures from soil that could be used in biological system were showed decolorization capacity for Acid Green dye (33.9% to 94.0%) using thin layer chromatography and broth culture method. The most promising cultures (AMC3) to decolorize Acid green Dye (94.6%) was re-coded as NSDSUAM for submitting at IMTECH, Chandigarh for sequencing. The 16SrRNA sequencing suggested that it can be a variant of Pseudomonas geniculata (99.85% identical similarity) with difference of 2 base pairs to reference strain Pseudomonas geniculata ATCC 19374(T). Thus present study proposed dye decolorizing efficiency of the isolated strain of Pseudomonas geniculata that was previously unnoticed. The sequence is deposited in NCBI GenBank with the accession number KP238100.

Indexed as

16S rRNA sequencingAzoreductaseBacteriabiodegradationpollutantsTLC

Identifiers

PMID25780272
PMCPMC4349931

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.