利用ISSR标记对稻曲病病原菌黑穗病的分子变异进行评价

Ladhalakshmi D, Yugander A, Laha Gs, V. A, B. K, Divya Balakrishnan, P. ., B. M, Aparna Md, Prasad Ms
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引用次数: 0

摘要

水稻稻曲病因其对粮食产量的影响及其产生毒素的能力而日益受到重视。从印度不同的水稻产区收集到58株稻瘟病菌分离株。采用CTAB法分离了维兰菌的DNA,筛选了50条ISSR引物进行分子变异研究。选取UBC系列807、808、809、810、811、812、834、835、836、840、841、842 12条引物进行遗传变异研究。计算被测引物的杂合度(Hn)、多态性信息含量(PIC)、有效多重倍率(EMR)、标记指数(MI)和分辨能力(RP)等参数。引物UBC 812和UBC 809的杂合度最高(Hn)。PIC值范围为0.10 ~ 0.27,UBC 807记录的最大值为0.27。EMR值在6.75 ~ 24.0之间变化,同样,UBC 807记录了最高的MI(24)和RP(8.55)。使用DARwin软件(版本6.0.21A)基于无加权邻居连接聚类方法生成树形图。所有58株维伦菌分离株被分为3个主要聚类。聚集I和II分别分离出21株和35株。聚类III只有2株分离株。分离物存在遗传变异,地理距离上没有明确的类群。
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Assessing the molecular variability in Ustilaginoidea virens, the rice false smut pathogen with ISSR markers
Rice false smut disease is gaining importance because of its impact on the grain yield and its toxin production ability. Fifty-eight isolates of Ustilaginoidea virens were collected from different rice-growing regions of India. DNA of U. virens was isolated by the CTAB method and fifty ISSR primers were screened for molecular variability studies. Twelve primers viz., UBC series 807, 808, 809, 810, 811, 812, 834, 835, 836, 840, 841, and 842 were selected to study the genetic variability. Different parameters of tested primers viz., heterozygosity (Hn), polymorphism information content (PIC), effective multiplex ratio (EMR), marker Index (MI), and resolving power (RP) were calculated. Primers UBC 812 and UBC 809 recorded maximum heterozygosity (Hn). The PIC values ranged from 0.10 to 0.27 and UBC 807 recorded the maximum value of 0.27. The EMR value varied from 6.75 to 24.0, Similarly, UBC 807 recorded the highest value of MI (24) and RP (8.55). A dendrogram was generated using the DARwin software (version 6.0.21A) based on the unweighted neighbor-joining cluster method. All the fifty-eight U. virens isolates were grouped into three major clusters. Clusters I and II had 21 and 35 U. virens isolates respectively. Cluster III had only two isolates. The isolates showed genetic variations and there was no specific grouping based on the geographical distance.
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