Evidence map›Paper›PMID 37928679›Full record

ArticleFrontiers in microbiology2023

Exploring microbial diversity responses in agricultural fields: a comparative analysis under pesticide stress and non-stress conditions.

Saurabh Gangola, Samiksha Joshi, Geeta Bhandari, Garima Pant, Anita Sharma, Kahkashan Perveen, Najat A Bukhari, Ranjana Rani

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microbiology spectrum · 2025
    Article
  5. Article
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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

8 authors.

Saurabh GangolaSchool of Agriculture, Graphic Era Hill University, Bhimtal, India.
Samiksha JoshiSchool of Agriculture, Graphic Era Hill University, Bhimtal, India.
Geeta BhandariDepartment of Biosciences, Swami Rama Himalayan University, Dehradun, India.
Garima PantDepartment of PDP, Graphic Era Hill University, Bhimtal, India.
Anita SharmaDepartment of Microbiology, GBPUAT, Pantnagar, India.
Kahkashan PerveenDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Najat A BukhariDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Ranjana RaniSchool of Agriculture and Food Science, University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to pesticides changes the microbial community structure in contaminated agricultural fields. To analyze the changes in the native microbial composition qRT-PCR, a metagenomic study was conducted. The qRT-PCR results exhibited that the uncontaminated soil has a higher copy number of 16S rDNA relative to the soil contaminated with pesticide. Metagenome analysis interprets that uncontaminated soil is enriched with proteobacteria in comparison with pesticide-contaminated soil. However, the presence of Actinobacteria, Firmicutes, and Bacteroides was found to be dominant in the pesticide-spiked soil. Additionally, the presence of new phyla such as Chloroflexi, Planctomycetes, and Verrucomicrobia was noted in the pesticide-spiked soil, while Acidobacteria and Crenarchaeota were observed to be extinct. These findings highlight that exposure to pesticides on soil significantly impacts the biological composition of the soil. The abundance of microbial composition under pesticide stress could be of better use for the treatment of biodegradation and bioremediation of pesticides in contaminated environments.

Indexed as

agriculturebiodegradationenvironmentmetagenomicspesticides

Identifiers

PMID37928679
PMCPMC10623313

What OpenQuestion holds

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LicenceCC BY
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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.