Evidence map›Paper›PMID 38348306›Full record

ArticleFrontiers in microbiology2023

Culture-based and culture-independent approach for the study of the methanogens and obligate anaerobes from different landfill sites.

Om Prakash, Sahab Ram Dewala, Yogesh Nimonkar, Shalaka K Patil, Ashvini Chauhan, Amit Yadav, Dheeraj P Dhotre, Dilip R Ranade

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. 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. Review
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.

Om PrakashNational Centre for Microbial Resource (NCMR), National Centre for Cell Science (NCCS), Pune, India.
Sahab Ram DewalaNational Centre for Microbial Resource (NCMR), National Centre for Cell Science (NCCS), Pune, India.
Yogesh NimonkarNational Centre for Microbial Resource (NCMR), National Centre for Cell Science (NCCS), Pune, India.
Shalaka K PatilNational Centre for Microbial Resource (NCMR), National Centre for Cell Science (NCCS), Pune, India.
Ashvini ChauhanEnvironmental Biotechnology at the School of the Environment, Florida A&M University, Tallahassee, FL, United States.
Amit YadavNational Centre for Microbial Resource (NCMR), National Centre for Cell Science (NCCS), Pune, India.
Dheeraj P DhotreNational Centre for Microbial Resource (NCMR), National Centre for Cell Science (NCCS), Pune, India.
Dilip R RanadeNational Centre for Microbial Resource (NCMR), National Centre for Cell Science (NCCS), Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The landfill is a cheap way of solid waste management in developing countries. The majority of landfills are non-sanitary and work as open garbage dumping sites and pose threats to public and environmental health. Therefore, an in-depth understanding of the chemistry and microbiology of landfills is imperative to develop the right policies for landfill management. In the current study, we investigated the chemistry and microbiology of three Indian landfill sites using culture-based and culture-independent molecular approaches. Our data indicate that the nature of landfills varies from site to site in terms of chemistry, pollutants, and pathogens. We also enriched and cultivated three methanogens using an optimized medium and constructed two high-quality draft genomes from enriched microbiomes using metagenome-assembled genome approaches. The phylogenomic study of one draft genome showed the highest 93% sequence similarity with members of

Indexed as

anaerobescontaminationlandfillleachatemethanogens

Identifiers

PMID38348306
PMCPMC10860756

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.