Diverse and abundant antibiotic resistance genes in Chinese swine farms

By Yong-guan Zhu, T. Johnson, Jianqiang Su, M. Qiao, Guang-xia Guo, Robert D. Stedtfeld, S. Hashsham, James M. Tiedje. Proceedings of the National Academy of Sciences of the United States of America, 2013

2,213 citations recorded by the source corpus.

Subfields: Ecology, Molecular Medicine, Pollution

View Paper: https://www.semanticscholar.org/paper/ce9ccf0ded2bcfbb1c63fa7e9db1d310bd3db756

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Ji‐Zheng He
2. Hangwei Hu
3. Yong-guan Zhu
4. Tong Zhang
5. B. A. Nguyen
6. Chaoyu Li
7. K. Clay
8. K. Smalla

In Molecular Medicine

1. Yong-guan Zhu
2. D. Larsson
3. Qing‐Lin Chen
4. Xinli An
5. M. Gillings
6. James M. Tiedje
7. Amy Pruden
8. W. Gaze

In Pollution

1. Yong-guan Zhu
2. M. Gillings
3. D. Larsson
4. Ji‐Zheng He
5. Qing‐Lin Chen
6. Hangwei Hu
7. Xinli An
8. James M. Tiedje

Citations in the corpus

• Metagenomic analysis reveals wastewater treatment plants as hotspots of antibiotic resistance genes and mobile genetic elements. (2017, background): “…resistant bacteria (ARB) and antibiotic resistance genes 34 (ARGs) are widely found in soil (Torres-Cortés et al., 2011; Joy et al., 2013; Zhu et al., 2013; Chen et 35 al., 2016), surface water (Li et al., 2009a; Pruden et al., 2012; Li et al., 2014), groundwater (Koike et 36 al., 2007;…”
• Using the class 1 integron-integrase gene as a proxy for anthropogenic pollution (2014, background): “…other genes increase in abundance Cheng et al. (2013) Manure treatment China Manure, qPCR array Transposons and resistance genes increase in abundance Zhu et al. (2013) Animal microbiota Various E. coli isolation, PCR IntI1 increases in frequency with increased human contact Skurnik et al.…”
• Defensive symbiosis: a microbial perspective (2014, background): “Microbes have high rates of evolutionary change, and horizontal transfer of adaptive genes or genomes is common (McCutcheon, McDonald & Moran 2009; Oliver et al. 2010; Werren et al. 2010; Smillie et al. 2011; Zhu et al. 2013).”
• mlDEEPre: Multi-Functional Enzyme Function Prediction With Hierarchical Multi-Label Deep Learning (2019, background): “For example, it has the potential to be applied to predict the properties of antibiotic-resistant genes (ARG) in multidrug-resistant pathogens (Zhu et al., 2013; Cao et al., 2018), perform classification of multicomponent transporter system (Saier et al., 2015), and predict CRISPR-Cas9 gene editing…”
• Do manure-borne or indigenous soil microorganisms influence the spread of antibiotic resistance genes in manured soil? (2017, methodology): “Manure application has also been demonstrated to increases the occurrence and spread of ARGs in soils (Binh et al., 2008; Zhu et al., 2013; Chen et al., 2016).”
• Antimicrobial activity of plant-food by-products: A review focusing on the tropics (2016, background): “Also, the unmonitored use of antibiotics and metals is causing the emergence and release of antibiotic resistance genes to the environment (Zhu et al., 2013; Woappi et al., 2014).”
• Human Health Risk Assessment (HHRA) for Environmental Development and Transfer of Antibiotic Resistance (2013, background): “2013) .”