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菲律宾棉兰老岛伊氏锥虫的微卫星分型和种群结构。

Microsatellite typing and population structuring of Trypanosoma evansi in Mindanao, Philippines.

机构信息

Division of Health Sciences, School of Veterinary and Biomedical Sciences, Murdoch University, Murdoch, Perth, WA 6150, Australia.

出版信息

Vet Parasitol. 2012 Jun 8;187(1-2):129-39. doi: 10.1016/j.vetpar.2011.12.010. Epub 2011 Dec 19.

Abstract

Trypanosoma evansi, a blood-borne protozoan parasite with an extensive geographical range is the causative agent of the livestock disease known as surra. A total of 140 out of 179 T. evansi isolates collected between 2006 and 2007 from 44 villages (comprising of 16 reported surra outbreaks) in 3 provinces (Agusan del Sur (ADS), Surigao del Sur (SDS) and Agusan del Norte (ADN)) in Mindanao, Philippines were each successfully genotyped using a suite of 7 polymorphic microsatellites. The study identified 16 multi locus genotypes (MLG) within the T. evansi isolates and evidence of the spread of surra outbreaks from one village to another, most likely due to the movement of infected animals. Genotyping provided evidence of population sub-structuring with 3 populations (I, II and III (only 1 isolate)) identified. The most abundant population was II, which was the predominant population in ADS and SDS (p=0.022). In addition, buffalo mortality was statistically higher in outbreak areas associated with isolates from population I (13.6%) than with isolates from population II (6.9%) (p=0.047). The present study has highlighted the utility of microsatellite loci to improve understanding of the epidemiology of T. evansi and in tracking surra outbreaks.

摘要

伊氏锥虫,一种具有广泛地理分布的血源性原生动物寄生虫,是家畜疾病苏拉的病原体。2006 年至 2007 年间,在菲律宾棉兰老岛的三个省(南阿古桑省(ADS)、南苏里高省(SDS)和北阿古桑省(ADN))的 44 个村庄(包括 16 个报告的苏拉爆发)中,共从 179 个 T. evansi 分离株中收集了 140 个分离株,这些分离株均成功地使用了一套 7 个多态性微卫星进行了基因分型。研究在 T. evansi 分离株中确定了 16 个多基因座基因型(MLG),并证明了苏拉爆发从一个村庄传播到另一个村庄,这很可能是由于受感染动物的移动。基因分型提供了种群亚结构的证据,确定了 3 个种群(I、II 和 III(仅 1 个分离株))。最丰富的种群是 II,它是 ADS 和 SDS 的主要种群(p=0.022)。此外,与种群 I 的分离株(13.6%)相比,与种群 II 的分离株(6.9%)相比,爆发地区的水牛死亡率统计学上更高(p=0.047)。本研究强调了微卫星基因座对提高对 T. evansi 流行病学和跟踪苏拉爆发的理解的有用性。

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