Evidence map›Paper›PMID 32974826›Full record

ArticleEnvironmental science and pollution research international2021

Soil salinity, pH, and indigenous bacterial community interactively influence the survival of E. coli O157:H7 revealed by multivariate statistics.

Ziming Han, Jincai Ma, Ching-Hong Yang, Abasiofiok Mark Ibekwe

Abstract read
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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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

4 authors.

Ziming HanKey Laboratory of Ground Water Resource and Environment, Ministry of Education, Jilin University, Changchun, 130021, China.
Jincai MaKey Laboratory of Ground Water Resource and Environment, Ministry of Education, Jilin University, Changchun, 130021, China. jincaima@jlu.edu.cn.ORCID http://orcid.org/0000-0002-0792-0251
Ching-Hong YangDepartment of Biological Sciences, University of Wisconsin, Milwaukee, WI, USA.
Abasiofiok Mark IbekweUSDA-ARS U. S. Salinity Laboratory, Riverside, CA, USA.

Funding

CSREES NIFA Agreement 2008-35201-18709Manure and Byproduct Utilization Project of the USDA-ARS 206National Natural Science Foundation of China 41571304
6 · The paper itself

Abstract

Complexities of biotic-abiotic interactions in soils result in the lack of integrated understanding of environmental variables that restrict the survival of shiga toxin-producing E. coli O157:H7. Herein, we reanalyzed previously published data and highlighted the influence of soil abiotic factors on E. coli O157:H7 survivability and elucidated how these factors took effect indirectly through affecting indigenous bacterial community. Interaction network analysis indicated salinity and pH decreased the relative abundances of some bacterial taxa (e.g., Acidobacteria_Gp4, Acidobacteria_Gp6, and Deltaproteobacteria) which were positively correlated with the survival of E. coli O157:H7 in soils, and vice versa (e.g., Gammaproteobacteria and Flavobacteria) (P < 0.05). An array of multivariate statistical approaches including partial Mantel test, variation partition analysis (VPA), and structural equation model (SEM) further confirmed that biotic and abiotic factors interactively shaped the survival profile of E. coli O157:H7. This study revealed that some bacterial taxa were correlated with survival of E. coli O157:H7 directly, and salinity and pH could affect E. coli O157:H7 survival through changing these bacterial taxa. These findings suggest that salinity in soil might benefit the control of fecal pathogenic E. coli invasion, while soil acidification caused by anthropogenic influences could potentially increase the persistence of E. coli O157:H7 in agro-ecosystem.

Indexed as

Escherichia coli O157SoilEcosystemHydrogen-Ion ConcentrationSalinitySoil MicrobiologySoilBacterial communityE. coli O157:H7Multivariate statistical analysisSoilSurvival

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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.