基于ISSR和RAPD标记的印度非桑蚕(Antheraea assamensis和Samia cynthia ricini)微孢子虫遗传分析

W. Hassan, B. S. Nath
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引用次数: 1

摘要

本研究利用基于pcr的标记技术:简单序列重复(ISSR)和随机扩增多态性DNA (RAPD),建立了从印度阿萨姆邦生物地理森林采集的10株感染非桑蚕(Antheraea assamensis和Samia cynthia ricini)的微孢子虫分离株的遗传特征。以Nosema型种NIK-1s_mys为对照。成熟小孢子虫孢子的形状为卵圆形至细长形,长3.80 ~ 4.90µm,宽2.60 ~ 3.05µm。14条ISSR引物共扩增出178个片段,其中多态性175个(98%);16条RAPD引物共扩增出198个片段,多态性为95%。采用骰子系数法估算遗传距离系数,并采用UPGMA聚类方法分析印度蚕种和黑蚕微孢子虫的遗传多样性。ISSR相似系数为0.385 ~ 0.941,RAPD相似系数为0.083 ~ 0.938。UPGMA分析生成了两个微孢子虫组的树突图,它们似乎彼此不同。基于欧几里得距离矩阵法,不同鉴定的微孢子虫的二维分布也显示出较大的差异性。这些微孢子虫分离物的聚类与其宿主和生物地理来源一致。这两种技术都是对不同微孢子虫进行分类和系统发育分类的有效工具,特别是对这些病原体进行基因分型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic characterization of microsporidians infecting Indian non-mulberry silkworms (Antheraea assamensis and Samia cynthia ricini) by using PCR based ISSR and RAPD markers assay.
This study established the genetic characterisation of 10 microsporidian isolates infecting non-mulberry silkworms (Antheraea assamensis and Samia cynthia ricini) collected from biogeographical forest locations in the State of Assam, India, using PCR-based markers assays: inter simple sequence repeat (ISSR) and random amplified polymorphic DNA (RAPD). A Nosema type species (NIK-1s_mys) was used as control for comparison. The shape of mature microsporidian spores were observed oval to elongated, measuring 3.80 to 4.90 µm in length and 2.60 to 3.05 µm in width. Fourteen ISSR primers generated reproducible profiles and yielded 178 fragments, of which 175 were polymorphic (98%), while 16 RAPD primers generated reproducible profiles with 198 amplified fragments displaying 95% of polymorphism. Estimation of genetic distance coefficients based on dice coefficients method and clustering with un-weighted pair group method using arithmetic average (UPGMA) analysis was done to unravel the genetic diversity of microsporidians infecting Indian muga and eri silkworm. The similarity coefficients varied from 0.385 to 0.941 in ISSR and 0.083 to 0.938 in RAPD data. UPGMA analysis generated dendrograms with two microsporidian groups, which appear to be different from each other. Based on Euclidean distance matrix method, 2-dimensional distribution also revealed considerable variability among different identified microsporidians. Clustering of these microsporidian isolates was in accordance with their host and biogeographic origin. Both techniques represent a useful and efficient tool for taxonomical grouping as well as for phylogenetic classification of different microsporidians in general and genotyping of these pathogens in particular.
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