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首页> 外文期刊>Plant Pathology >Population genetics of Phytophthora infestans in Denmark reveals dominantly clonal populations and specific alleles linked to metalaxyl-M resistance
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Population genetics of Phytophthora infestans in Denmark reveals dominantly clonal populations and specific alleles linked to metalaxyl-M resistance

机译:丹麦疫霉菌的种群遗传学揭示了优势克隆种群和与甲霜灵-M抗性相关的特定等位基因

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摘要

Control of the potato late blight pathogen Phytophthora infestans relies heavily on chemicals. The fungicide metalaxyl-M (Mefenoxam) has played an important role in controlling the disease, but insensitivity to the fungicide in certain isolates is now of major concern. A genetic basis for resistance to metalaxyl suggests the possibility for linking resistance phenotypes to specific population genetic markers, but in order to do this, the population genetic structure and mode of reproduction in a population must first be well described. The dynamics of metalaxyl-M resistance in the Danish population of P. infestans was characterized over the course of the 2013 growing season, as was the population genetic structure, using simple sequence repeat (SSR) genotypes and single nucleotide polymorphism (SNP)-based mitochondrial haplotyping of over 80 isolates. Both mating types A1 and A2 were present in most fields, but tests for recombination showed that clonal reproduction dominates in Danish populations. Genotype was not linked to haplotype and no differentiation was observed at the haplotype level, but rather between fields. Resistance phenotypes were linked to specific SSR alleles, demonstrating the potential for a more precise SNP-based marker system for predicting resistance to metalaxyl-M.
机译:马铃薯晚疫病病原菌疫霉的控制主要依靠化学物质。杀真菌剂甲霜灵-M(甲芬沙星)在控制该疾病方面起着重要作用,但是某些分离物中对杀真菌剂的不敏感性现在是主要关注的问题。对甲霜灵抗性的遗传基础表明,将抗性表型与特定种群遗传标记联系起来的可能性,但是为了做到这一点,必须首先很好地描述种群的遗传结构和繁殖方式。使用简单的序列重复(SSR)基因型和基于单核苷酸多态性(SNP)的基因,在2013年生长季节期间,对丹麦致病疫霉种群中甲霜灵M抵抗的动态以及种群遗传结构进行了表征超过80种分离物的线粒体单倍型分析。大多数领域都存在交配类型A1和A2,但是重组测试表明,在丹麦种群中克隆繁殖占主导地位。基因型与单倍型没有联系,在单倍型水平上没有观察到分化,而是在田间之间没有差异。抗性表型与特定的SSR等位基因相关,表明了预测基于甲硝唑M的抗性的更精确的基于SNP的标记系统的潜力。

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