Shaswat Sreemat Pradhan, Mathew Seikholen Baite, C Parameswaran
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引用次数: 0
摘要
由 Ustilaginoidea virens 引起的假烟粉病是印度水稻的一种新病害。该病害导致水稻产量和质量下降，给农民造成经济损失。要想制定出有效管理该病害的适当方法，就必须了解病原体的遗传多样性和种群结构。因此，我们使用 25 个基因组特异性 SSR 标记对从印度不同地点获得的 34 个 U. virens 分离物进行了表征，这些标记显示出较高的多态信息含量（PIC），产生了 203 个等位基因，平均每个标记 8.12 个等位基因。遗传多样性从 0.00 到 0.885 不等，平均为 0.673。根据系统发生树，34 个分离株被分为两大类（类群 I 和类群 II）。簇 I 包括来自安得拉邦、比哈尔邦、喀拉拉邦、曼尼普尔邦、米佐拉姆邦、旁遮普邦和西孟加拉邦的分离物，而簇 II 包括来自阿萨姆邦、曼尼普尔邦、梅加拉亚邦和奥迪沙邦的分离物。来自同一地点/邻近地点的分离物被部分归入同一聚类。分子变异分析（AMOVA）显示，个体间的变异最大，为 86%，而种群间的变异最小，为 14%。利用 STRUCTURE 和主坐标分析（PCoA）评估了 34 个分离株的种群结构，将 34 个分离株分为两个不同的亚种群。这些分离物的遗传变异很大，表明它们具有很大的进化和变异潜力，将来可能会对水稻作物造成危害。
Understanding the Genetic Diversity and Population Structure of Indian Isolates of Ustilaginoidea virens.
False smut caused by Ustilaginoidea virens is an emerging disease of rice in India. The disease is causing economic loss to farmers through the reduction of yield and quality of rice. To devise a suitable approach to manage the disease effectively, an understanding of the genetic diversity and population structure of the pathogen is essential. Hence, a total of 34 isolates of U. virens obtained from different locations in India were characterized using 25 genomes-specific SSR markers showing higher polymorphic information content (PIC) that produced 203 alleles with a mean of 8.12 per marker. The genetic diversity varied from 0.00 to 0.885 with an average of 0.673. Based on the phylogenetic tree, the 34 isolates of U. virens were grouped into two major clusters (Cluster I and Cluster II). Cluster I included isolates from Andhra Pradesh, Bihar, Kerala, Manipur, Mizoram, Punjab, and West Bengal, while Cluster II included isolates from Assam, Manipur, Meghalaya, and Odisha. The isolates from the same/nearby locations were partially assembled into the same cluster. The analysis of molecular variance (AMOVA) showed the highest variation of 86% found among the individuals while the least variation of 14% was observed between the populations. The population structures of 34 isolates of U. virens evaluated using STRUCTURE and Principal coordinates analysis (PCoA) separated the 34 isolates into two distinct subpopulations. The high genetic variation in the isolates indicated their substantial potential to evolve and mutate, potentially causing damage to rice crops in future.
期刊介绍：
Current Microbiology is a well-established journal that publishes articles in all aspects of microbial cells and the interactions between the microorganisms, their hosts and the environment.
Current Microbiology publishes original research articles, short communications, reviews and letters to the editor, spanning the following areas:
physiology, biochemistry, genetics, genomics, biotechnology, ecology, evolution, morphology, taxonomy, diagnostic methods, medical and clinical microbiology and immunology as applied to microorganisms.
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