Literature DB >> 30380474

Antibiotic resistance genes distribution in microbiomes from the soil-plant-fruit continuum in commercial Lycopersicon esculentum fields under different agricultural practices.

Francisco Cerqueira1, Víctor Matamoros1, Josep Bayona1, Benjamin Piña2.   

Abstract

While the presence of antibiotic resistance genes (ARGs) in agricultural soils and products has been firmly established, their distribution among the different plant parts and the contribution of agricultural practices, including irrigation with reclaimed water, have not been adequately addressed yet. To this end, we analyzed the levels of seven ARGs (sul1, blaTEM, blaCTX-M-32, mecA, qnrS1, tetM, blaOXA-58), plus the integrase gene intl1, in soils, roots, leaves, and fruits from two commercial tomato fields irrigated with either unpolluted groundwater or from a channel impacted by treated wastewater, using culture-independent, quantitative real-time PCR methods. ARGs and intl1 sequences were found in leaves and fruits at levels representing from 1 to 10% of those found in roots or soil. The relative abundance of intl1 sequences correlated with tetM, blaTEM, and sul1 levels, suggesting a high horizontal mobility potential for these ARGs. High-throughput 16S rDNA sequencing revealed microbiome differences both between sample types (soil plus roots versus leaves plus fruits) and sampling zones, and a correlation between the prevalence of Pseudomonadaceae and the levels of different ARGs, particularly in fruits and leaves. We concluded that both microbiome composition and ARGs levels in plants parts, including fruits, were likely influenced by agricultural practices.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antibiotic resistance genes; Horizontal gene transfer; Irrigation water; Microbiomes; qPCR

Mesh:

Substances:

Year:  2018        PMID: 30380474     DOI: 10.1016/j.scitotenv.2018.10.268

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Improving the risk assessment of antimicrobial resistance (AMR) along the food/feed chain and from environmental reservoirs using qMRA and probabilistic modelling.

Authors:  M Niegowska; M Wögerbauer
Journal:  EFSA J       Date:  2022-05-25

Review 2.  An Overview of Antibiotic Resistance and Abiotic Stresses Affecting Antimicrobial Resistance in Agricultural Soils.

Authors:  Abdullah Kaviani Rad; Angelika Astaykina; Rostislav Streletskii; Yeganeh Afsharyzad; Hassan Etesami; Mehdi Zarei; Siva K Balasundram
Journal:  Int J Environ Res Public Health       Date:  2022-04-12       Impact factor: 4.614

  2 in total

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