Literature DB >> 26341923

Microbial Pollution Tracking of Dairy Farm with a Combined PCR-DGGE and qPCR Approach.

Xiaoxia Xi1, Jiachao Zhang1, Laiyu Kwok1, Dongxue Huo1, Shuzhen Feng1, Heping Zhang1, Tiansong Sun2.   

Abstract

Animal husbandry is a traditional industry with regional characteristic in the Inner Mongolia of China. Recent years, animal breeding has been one of the main pollution sources in this area, followed by domestic sewage and industrial wastewater. The pollution of livestock farm feces may accelerate the development of pathogens and antibiotic resistance genes which pose health risks to humans and animals. In present research, culture-independent molecular ecological methods based on DGGE combined with qPCR were used to investigate the pollution to surrounding environment with different degrees of livestock farm. The cluster analysis of DGGE patterns showed that the livestock farm feces from point pollution source flowed with wastewater discharge has resulted in an impacted range of at least 3000 m, but it did not cause pollution to residential water delivered from upstream of sewage drain outlet. qPCR results revealed that 5 common pathogens (Escherichia coli, Enterococcus, Staphylococcus aureus, Shigella, and Salmonella) presented decreased trend as the sampled distance from point pollution source increased. Also, qPCR assays of 10 common antibiotic resistance genes (tetO, tetL, rpp, rpoB, sul2, sulA, floR, yidY, mphA, and ermC) which cause resistance to tetracycline, rifampicin, fluoroquinolone, quinolone, and erythromycin have been found in the environmental samples. This study clearly indicates the livestock farm discharge pollutants contaminated to the surrounding environment. Our data have provided important information to pollution control in the future.

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Year:  2015        PMID: 26341923     DOI: 10.1007/s00284-015-0887-6

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  43 in total

1.  Recommendations for microbial source tracking: lessons from a methods comparison study.

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Review 2.  Processes for managing pathogens.

Authors:  Alan Godfree; Joseph Farrell
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Review 3.  Performance, design, and analysis in microbial source tracking studies.

Authors:  Donald M Stoeckel; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2007-02-16       Impact factor: 4.792

4.  Monitoring and source tracking of tetracycline resistance genes in lagoons and groundwater adjacent to swine production facilities over a 3-year period.

Authors:  S Koike; I G Krapac; H D Oliver; A C Yannarell; J C Chee-Sanford; R I Aminov; R I Mackie
Journal:  Appl Environ Microbiol       Date:  2007-06-01       Impact factor: 4.792

5.  Analysis of bacterial diversity in acidic pond water and compost after treatment of artificial acid mine drainage for metal removal.

Authors:  Teresita A Morales; Mark Dopson; Rana Athar; Roger B Herbert
Journal:  Biotechnol Bioeng       Date:  2005-06-05       Impact factor: 4.530

6.  Molecular ecology of tetracycline resistance: development and validation of primers for detection of tetracycline resistance genes encoding ribosomal protection proteins.

Authors:  R I Aminov; N Garrigues-Jeanjean; R I Mackie
Journal:  Appl Environ Microbiol       Date:  2001-01       Impact factor: 4.792

7.  Influence of soil on fecal indicator organisms in a tidally influenced subtropical environment.

Authors:  Timothy R Desmarais; Helena M Solo-Gabriele; Carol J Palmer
Journal:  Appl Environ Microbiol       Date:  2002-03       Impact factor: 4.792

8.  Correlation between upstream human activities and riverine antibiotic resistance genes.

Authors:  Amy Pruden; Mazdak Arabi; Heather N Storteboom
Journal:  Environ Sci Technol       Date:  2012-10-12       Impact factor: 9.028

9.  Rapid detection of mutations in rpoB gene of rifampicin resistant Mycobacterium tuberculosis strains by line probe assay.

Authors:  Meera Sharma; Sunil Sethi; Baijayantimala Mishra; Caesar Sengupta; S K Sharma
Journal:  Indian J Med Res       Date:  2003-02       Impact factor: 2.375

10.  Prevalence of antibiotic resistance genes and their relationship with antibiotics in the Huangpu River and the drinking water sources, Shanghai, China.

Authors:  Lei Jiang; Xialin Hu; Ting Xu; Hongchang Zhang; Daniel Sheng; Daqiang Yin
Journal:  Sci Total Environ       Date:  2013-05-07       Impact factor: 7.963

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