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《Journal of Northwest A & F University(Natural Science Edition)》 2019-01
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ERIC-PCR fingerprint analysis of intestinal flora of diarrhea piglets

ZHANG Zhencang;YANG Ershuai;GUO Kangkang;LUO Yan;College of Animal Engineering,Yangling Vocational and Technical College;College of Veterinary Medicine,Northwest A&F University;  
【Objective】This study analyzed the changes of flora in the surrounding environment of diarrhea piglets to provide support for the diagnosis and treatment of diarrhea in piglets.【Method】Samples were collected from feces,mouth,obstetric table and sow nipple of health and diarrhea piglets.The bacterial community structure characteristics in the samples were analyzed by using ERIC-PCR technology,and the bacteria in fecal samples were isolated and identified.【Result】The ERIC-PCR fingerprints of the 4samples in control group were very similar,but the electrophoresis bands were different in diarrhea groups.Abnormal brightness electrophoretic bands appeared in diarrhea groups and the locations of bands were different from the control group.Especially,the mean numbers of bands in mouth and nipple samples were significantly lower than those of control group(P0.05).In the diarrhea group,bacteria diversity index decreased,while the dominance index increased.Two suspicious strains b1 and b2were separated from fecal samples of diarrhea piglets.Bacterial staining and biochemical experiments showed that strains b1 and b2were identical with characteristics of Escherichia coli and Proteus.ERIC-PCR fingerprinting analysis showed that the ERIC-PCR fingerprints of the dominant bacteria were included in the ERIC-PCR map ofthe fecal samples,indicating that the ERIC-PCR fingerprint of the samples could reflect the characteristics of the dominant flora.The sequencing results showed that DNA sequences of bands in isolated b1 and b2were in 99% and 98% homology with Escherichia coli and Proteus,respectively.【Conclusion】The surrounding environmental flora of diarrhea piglets changed significantly.The ERIC-PCR technology can quickly and accurately monitor and diagnose the bacterial community structure characteristics,which is helpful for diagnosis and treatment of bacterial diarrhea in piglets.
【Fund】: 陕西省科学技术研究发展计划项目(2012K02-03);; 陕西省重点农业科技推广及示范项目(ZDKJ-2014-33)
【CateGory Index】: S858.28
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