Literature DB >> 29710598

Tracking antibiotic resistance genes in soil irrigated with dairy wastewater.

Robert S Dungan1, Chad W McKinney2, April B Leytem2.   

Abstract

The application of dairy wastewater to agricultural soils is a widely used practice to irrigate crops and recycle nutrients. In this study, small-scale field plots were irrigated monthly (6 times) with dairy wastewater (100%), wastewater diluted to 50% with irrigation (canal) water, and diluted wastewater spiked with copper sulfate (50 mg Cu L-1), while control plots were irrigated with canal water. In addition, half of all plots were either planted with wheat or were left as bare soil. Biweekly soil samples were collected during this period and processed to determine the occurrence and abundance of antibiotic resistance genes [blaCTX-M-1, erm(B), sul1, tet(B), tet(M), and tet(X)] and a class 1 integron-integrase gene (intI1) via quantitative real-time PCR (qPCR). Only sul1 and tet(X) were detected in soil (3 out of 32 samples) before the wastewater treatments were applied. However, the occurrence and relative abundance (normalized to 16S rRNA gene copies) of most genes [erm(B), intI1, sul1, and tet(M)] increased dramatically after wastewater irrigation and levels were maintained during the entire study period. blaCTX-M-1 was the only gene not detected in wastewater-treated soils, which is likely related to its absence in the dairy wastewater. Relative gene levels in soil were found to be statistically similar among the treatments in most cases, regardless of the wastewater percentage applied and presence or absence of plants. The key result from this study is that dairy wastewater irrigation significantly enlarges the reservoir of ARGs and intI1 in soils, while detection of these genes rarely occurred in soil irrigated only with canal water. In addition, elevated levels of Cu in the wastewater and treated soil did not produce a concomitant increase of the ARG levels. Published by Elsevier B.V.

Entities:  

Keywords:  Antibiotic resistance gene; Dairy; Integron-integrase; Manure; Wastewater irrigation

Mesh:

Substances:

Year:  2018        PMID: 29710598     DOI: 10.1016/j.scitotenv.2018.04.020

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


  5 in total

1.  Antimicrobial Resistance in Escherichia coli and Enterococcal Isolates From Irrigation Return Flows in a High-Desert Watershed.

Authors:  Robert S Dungan; David L Bjorneberg
Journal:  Front Microbiol       Date:  2021-05-12       Impact factor: 5.640

Review 2.  Research and Technological Advances Regarding the Study of the Spread of Antimicrobial Resistance Genes and Antimicrobial-Resistant Bacteria Related to Animal Husbandry.

Authors:  Na Li; Chong Liu; Zhiguo Zhang; Hongna Li; Tingting Song; Ting Liang; Binxu Li; Luyao Li; Shuo Feng; Qianqian Su; Jing Ye; Changxiong Zhu
Journal:  Int J Environ Res Public Health       Date:  2019-12-04       Impact factor: 3.390

3.  Quantification of antibiotic resistance genes and mobile genetic in dairy manure.

Authors:  Yi Wang; Pramod Pandey; Colleen Chiu; Richard Jeannotte; Sundaram Kuppu; Ruihong Zhang; Richard Pereira; Bart C Weimer; Nitin Nitin; Sharif S Aly
Journal:  PeerJ       Date:  2021-12-23       Impact factor: 2.984

4.  Metagenomic insights into the antibiotic resistomes of typical Chinese dairy farm environments.

Authors:  Jijun Kang; Yiming Liu; Xiaojie Chen; Fei Xu; Honglei Wang; Wenguang Xiong; Xiubo Li
Journal:  Front Microbiol       Date:  2022-09-28       Impact factor: 6.064

Review 5.  Insights into the impact of manure on the environmental antibiotic residues and resistance pool.

Authors:  Luminita Gabriela Marutescu; Mihaela Jaga; Carmen Postolache; Florica Barbuceanu; Nicoleta Manuela Milita; Luminita Maria Romascu; Heike Schmitt; Ana Maria de Roda Husman; Paria Sefeedpari; Stefanie Glaeser; Peter Kämpfer; Patrick Boerlin; Edward Topp; Gratiela Gradisteanu Pircalabioru; Mariana Carmen Chifiriuc; Marcela Popa
Journal:  Front Microbiol       Date:  2022-09-16       Impact factor: 6.064

  5 in total

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