Evidence map›Paper›PMID 38800759›Full record

ArticleFrontiers in microbiology2024

Bacterial-fungal interactions and response to heavy metal contamination of soil in agricultural areas.

Jia Li, Qiwen Zheng, Jiangyun Liu, Shuwei Pei, Zhen Yang, Rentong Chen, Li Ma, Jingping Niu, Tian Tian

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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

9 authors.

Jia LiSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Qiwen ZhengSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Jiangyun LiuSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Shuwei PeiSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Zhen YangLanzhou Maternal and Child Health Care Hospital, Lanzhou, Gansu, China.
Rentong ChenSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Li MaSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Jingping NiuSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Tian TianSchool of Public Health, Lanzhou University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Long-term heavy metal contamination of soil affects the structure and function of microbial communities. The aim of our study was to investigate the effect of soil heavy metal contamination on microorganisms and the impact of different heavy metal pollution levels on the microbial interactions. Methods: We collected soil samples and determined soil properties. Microbial diversity was analyzed in two groups of samples using high-throughput sequencing technology. Additionally, we constructed microbial networks to analyze microbial interactions. Results: The pollution load index (PLI) < 1 indicates that the area is not polluted. 1 < PLI < 2 represents moderate pollution. PLI was 1.05 and 0.14 for the heavy metal contaminated area and the uncontaminated area, respectively. Cd, Hg, Pb, Zn, and Cu were identified as the major contaminants in the contaminated area, with the contamination factors were 30.35, 11.26, 5.46, 5.19, and 2.46, respectively. The diversities and compositions of the bacterial community varied significantly between the two groups. Compared to the uncontaminated area, the co-occurrence network between bacterial and fungal species in the contaminated area was more complex. The keystone taxa of the co-occurrence network in the contaminated area were more than those in the uncontaminated area and were completely different from it. Discussion: Heavy metal concentrations played a crucial role in shaping the difference in microbial community compositions. Microorganisms adapt to long-term and moderate levels of heavy metal contamination through enhanced interactions. Bacteria resistant to heavy metal concentrations may play an important role in soils contaminated with moderate levels of heavy metals over long periods of time.

Indexed as

bacterial–fungal interactionsco-occurrence networkheavy metal contaminationhigh-throughput sequencingkeystone taxasoil microbial community

Identifiers

PMID38800759
PMCPMC11116572

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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.