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

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RESEARCH ARTICLE

Soil salinity, pH, and indigenous bacterial community interactively influence the survival of E. coli O157:H7 revealed by multivariate statistics Ziming Han 1,2,3 & Jincai Ma 1,2,4

&

Ching-Hong Yang 5 & Abasiofiok Mark Ibekwe 6

Received: 16 April 2020 / Accepted: 20 September 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020

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. Keywords E. coli O157:H7 . Survival . Bacterial community . Soil . Multivariate statistical analysis

Introduction Responsible Editor: Robert Duran Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11356-020-10942-6) contains supplementary material, which is available to authorized users. * Jincai Ma [email protected] 1

Key Laboratory of Ground Water Resource and Environment, Ministry of Education, Jilin University, Changchun 130021, China

2

Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China

3

State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

4

College of New Energy and Environment, Jilin University, Changchun 130021, China

5

Department of Biological Sciences, University of Wisconsin, Milwaukee, WI, USA

6

USDA-ARS U. S. Salinity Laboratory, Riverside, CA, USA

Shiga toxin-producing Escherichia coli O157:H7 could be dangerous because of its low infective threshold (as few as 10-50 cells) and high pathogenicity (even death) (Ritchie et al. 2003), and thus, its transmission a