Evidence map›Paper›PMID 29844399›Full record

ArticleScientific reports2018

Metagenomic insights into the microbial diversity in manganese-contaminated mine tailings and their role in biogeochemical cycling of manganese.

Shreya Ghosh, Alok Prasad Das

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 120 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Proteomic insights into Lysinibacillus sp.-mediated biosolubilization of manganese.Environmental science and pollution research international · 2021
    Article
  11. Review
  12. Article
  13. A Systems-Based Approach for Cyanide Overproduction byFrontiers in bioengineering and biotechnology · 2020
    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

2 authors at 2 institutions in 1 country.

Shreya GhoshBioengineering and Bio Mineral processing Laboratory, Centre for Biotechnology, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India.
Alok Prasad DasDepartment of Chemical & Polymer Engineering Tripura University, (A Central University) Suryamaninagar, Agartala, India. alokprasaddas@tripurauniv.in.
Siksha O Anusandhan University · INTripura University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To extend the knowledge on the microbial diversity of manganese rich environments, we performed a clone library based study using metagenomic approach. Pyrosequencing based analysis of 16S rRNA genes were carried out on an Illumina platform to gain insights into the bacterial community inhabiting in a manganese mining site and the taxonomic profiles were correlated with the inherent capacities of these strains to solubilise manganese. The application of shot gun sequencing in this study yielded results which revealed the highest prevalence of Proteobacteria (42.47%), followed by Actinobacteria (23.99%) in the area of study. Cluster of orthologous group (COG) functional category has 85,066 predicted functions. Out of which 11% are involved in metabolism of amino acid, 9% are involved in production and conversion of energy while Keto Encyclopedia of Gene and Genomes (KEGG) functional category has 107,388 predicted functions, out of which 55% are involved in cellular metabolism, 15% are environmental and information processing and 12% are genetic information processing in nature. The isolated microbial consortia demonstrated visible growth in presence of high concentrations of Mn. Solubilisation studies resulted in 86% of manganese recovery after 20 days. The result presented in this study has important implications in understanding the microbial diversity in manganese contaminated mine tailings and their role in natural geochemical cycling of Mn.

Indexed as

ActinobacteriaBiodiversityEnergy MetabolismMagnesiumManganeseMetabolic Networks and PathwaysMetagenomicsMicrobial ConsortiaMiningPhylogenyProteobacteriaRNA, Ribosomal, 16SSequence Analysis, RNASoil MicrobiologyMagnesiumManganeseRNA, Ribosomal, 16S

Identifiers

PMID29844399
PMCPMC5974364
OpenAlexW2806955254

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.