Literature DB >> 24483241

Effect of manure application on abundance of antibiotic resistance genes and their attenuation rates in soil: field-scale mass balance approach.

Nicole Fahrenfeld1, Katharine Knowlton, Leigh Anne Krometis, W Cully Hession, Kang Xia, Emily Lipscomb, Kevin Libuit, Breanna Lee Green, Amy Pruden.   

Abstract

The development of models for understanding antibiotic resistance gene (ARG) persistence and transport is a critical next step toward informing mitigation strategies to prevent the spread of antibiotic resistance in the environment. A field study was performed that used a mass balance approach to gain insight into the transport and dissipation of ARGs following land application of manure. Soil from a small drainage plot including a manure application site, an unmanured control site, and an adjacent stream and buffer zone were sampled for ARGs and metals before and after application of dairy manure slurry and a dry stack mixture of equine, bovine, and ovine manure. Results of mass balance suggest growth of bacterial hosts containing ARGs and/or horizontal gene transfer immediately following slurry application with respect to ermF, sul1, and sul2 and following a lag (13 days) for dry-stack-amended soils. Generally no effects on tet(G), tet(O), or tet(W) soil concentrations were observed despite the presence of these genes in applied manure. Dissipation rates were fastest for ermF in slurry-treated soils (logarithmic decay coefficient of -3.5) and for sul1 and sul2 in dry-stack-amended soils (logarithmic decay coefficients of -0.54 and -0.48, respectively), and evidence for surface and subsurface transport was not observed. Results provide a mass balance approach for tracking ARG fate and insights to inform modeling and limiting the transport of manure-borne ARGs to neighboring surface water.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24483241     DOI: 10.1021/es404988k

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  23 in total

Review 1.  Industrial Food Animal Production and Community Health.

Authors:  Joan A Casey; Brent F Kim; Jesper Larsen; Lance B Price; Keeve E Nachman
Journal:  Curr Environ Health Rep       Date:  2015-09

2.  Effect from low-level exposure of oxytetracycline on abundance of tetracycline resistance genes in arable soils.

Authors:  Jia-Li Shentu; Kun Zhang; Dong-Sheng Shen; Mei-Zhen Wang; Hua-Jun Feng
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-01       Impact factor: 4.223

Review 3.  The Threat of Antimicrobial Resistance on the Human Microbiome.

Authors:  Lauren Brinkac; Alexander Voorhies; Andres Gomez; Karen E Nelson
Journal:  Microb Ecol       Date:  2017-05-11       Impact factor: 4.552

4.  Detection, Occurrence and Fate of Emerging Contaminants in Agricultural Environments.

Authors:  Daniel D Snow; David A Cassada; Shannon L Bartelt-Hunt; Xu Li; Matteo D'Alessio; Rachel Levine; Yun Zhang; J Brett Sallach
Journal:  Water Environ Res       Date:  2015-10       Impact factor: 1.946

5.  Fate of antimicrobial resistance genes in response to application of poultry and swine manure in simulated manure-soil microcosms and manure-pond microcosms.

Authors:  Mianzhi Wang; Yongxue Sun; Peng Liu; Jing Sun; Qin Zhou; Wenguang Xiong; Zhenling Zeng
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-18       Impact factor: 4.223

6.  A Comprehensive Analysis on Spread and Distribution Characteristic of Antibiotic Resistance Genes in Livestock Farms of Southeastern China.

Authors:  Na Wang; Xinyan Guo; Zheng Yan; Wei Wang; Biao Chen; Feng Ge; Boping Ye
Journal:  PLoS One       Date:  2016-07-07       Impact factor: 3.240

7.  Analysis of Antibiotic Resistance Genes, Environmental Factors, and Microbial Community From Aquaculture Farms in Five Provinces, China.

Authors:  Xu Cheng; Yitong Lu; Yanzhen Song; Ruifang Zhang; Xinyan ShangGuan; Hongzhou Xu; Chengrong Liu; Haixia Liu
Journal:  Front Microbiol       Date:  2021-06-24       Impact factor: 5.640

Review 8.  Antimicrobial Resistance in Agriculture.

Authors:  Sophie Thanner; David Drissner; Fiona Walsh
Journal:  mBio       Date:  2016-04-19       Impact factor: 7.867

9.  Prevalence and Abundance of Florfenicol and Linezolid Resistance Genes in Soils Adjacent to Swine Feedlots.

Authors:  Qin Zhao; Yang Wang; Shaolin Wang; Zheng Wang; Xiang-Dang Du; Haiyang Jiang; Xi Xia; Zhangqi Shen; Shuangyang Ding; Congming Wu; Bingrui Zhou; Yongning Wu; Jianzhong Shen
Journal:  Sci Rep       Date:  2016-08-30       Impact factor: 4.379

10.  DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data.

Authors:  Gustavo Arango-Argoty; Emily Garner; Amy Pruden; Lenwood S Heath; Peter Vikesland; Liqing Zhang
Journal:  Microbiome       Date:  2018-02-01       Impact factor: 14.650

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.