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四川部分鸡场禽网状内皮组织增生症病毒感染情况调查 被引量:7

Survey of Reticuloendotheliosis Virus Infection in Chicken Farms of Sichuan Province
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摘要 对四川部分鸡场禽网状内皮组织增生症病毒(REV)感染情况进行调查,为鸡群REV净化和防控提供依据。采用文献报道的PCR方法,分别对来自四川新津、温江、眉山、大邑、崇州和德阳等地6个肉种鸡群共160只外表健康鸡或生长发育不良、具有腺胃炎症状的鸡只样本进行PCR检测,同时将扩增片段克隆测序以确定其正确性。结果表明,6个鸡群REV群体阳性率均为100%(6/6),其中外表健康鸡REV检出率为65.8%(79/120),患腺胃炎病鸡REV检出率为82.5%(33/40);同一只鸡不同组织器官样本的检测结果显示,REV在骨髓和法氏囊中的检出率最高,分别为30%(36/120)和28.3%(34/120),提示骨髓和法氏囊是REV检测的主要靶器官;患腺胃炎鸡的腺胃中REV检出率达25%(10/40),而外表健康鸡腺胃样本REV阳性率仅0.8%(1/120),表明REV是导致鸡腺胃炎的重要病原之一。 In order to investigate reticuloendotheliosis virus (REV) infection in Sichuan province to provide theoretical basis for the prevention of REV, a pairs of specific primers were synthesized according to the reference,and a total of 120 one-day-old apparently healthy chickens and 40 proventriculitis suffered chicks of 35 to 40 day-old age from 6 poultry farms were tested by PCR. The amplified fragments were cloned in- to pMD19-T vector and were sequenced for identification. The results showed that the detected positive rate of REV in six groups were 100% (6/6), the detected positive rate in 120 apparently healthy chickens was 65.8% (79/120) and in that of 40 proventriculitis suffered chicks was 82.5% (33/40) . It suggested that REV widely spread in Xinjin, Wenjiang, Meishan, Dayi, Chongzhou and Deyang of Sichuan province. The detected positive rates in different collected chicken tissue samples were also significantly different a- mong various tissue samples, with the higher positive rates in both bursa of Fabricius (28.3%) and mar- row (30%) in apparently healthy chickens, which implied that these two organs were the better detection target organs of REV. In addition, the REV detection rate in chicks suffered proventriculitis was signifi- cantly higher than that of apparently healthy chickens. It showed that REV may be related to proventricul- itis.
出处 《动物医学进展》 北大核心 2015年第6期162-166,共5页 Progress In Veterinary Medicine
基金 "十二五"国家高技术研究发展(863)计划项目(2012AA101304)
关键词 禽网状内皮组织增生症病毒 靶器官 腺胃炎 PCR检测 REV target organ proventrieulitis PCR detection
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