图尔基耶黑海地区格里索拉假孢子虫分离物的遗传变异和种群结构

IF 2.5 3区 农林科学 Q2 Agricultural and Biological Sciences Tropical Plant Pathology Pub Date : 2024-09-18 DOI:10.1007/s40858-024-00686-w
Sirel Canpolat, Duygu Mermer Doğu, Gülsüm Palacıoğlu
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引用次数: 0

摘要

由格氏假孢子菌(Pseudocercospora griseola)引起的角斑叶病是世界上豆类种植区最常见的病害之一。了解病原体的遗传结构有助于制定病害控制策略。本研究的目的是分析从土耳其黑海地区温室中收集的 63 株灰葡萄孢假孢子菌分离物的遗传变异性和种群结构。研究人员评估了 27 种 iPBS 引物和 36 种 SCoT 引物,以观察分离物之间的遗传变异,整个研究使用了每种标记的 4 种引物。iPBS 和 SCoT 标记每个引物的平均分辨力百分比分别为 1.10 和 0.73。从两个标记系统的综合数据集得到的树枝图将分离物分为两大类,遗传相似度为 92%,这与分离物的地理来源有部分关联。内氏遗传距离树枝图将宗古尔达克种群与所有其他种群区分开来。卡拉比克(Karabük)和巴特恩(Bartın)被归为一组,而奥尔杜(Ordu)和吉雷松(Giresun)则脱离了这些种群。STRUCTURE 分析以最高的 Ln 似然平均值(ΔK = 4;LnP(K) = -432.0)支持基于内氏树枝图的格氏猪种群分布。所有种群之间的平均遗传分化(GST)水平较高,为 0.429,但基因流(NM)水平较低,为 0.665。AMOVA分析表明,58%的遗传变异发生在种群内的分离株之间,42%发生在种群之间。首次测试了iPBS和SCoT标记,以评估格氏梭菌分离株之间的种内变异。这两种方法都很容易使用,能为我们提供有关灰葡萄孢菌遗传多样性的详细而一致的信息。研究结果证明,这些标记是分析灰葡萄孢菌遗传结构的有用而有效的工具。
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Genetic variability and population structure of Pseudocercospora griseola isolates in the Black Sea region of Türkiye

Angular leaf spot caused by Pseudocercospora griseola is one of the most common diseases of bean-grown areas in the world. Knowing the genetic structure of the pathogens enables the development of disease control strategies. The purpose of this study was to analyze genetic variability and population structure of 63 Pseudocercospora griseola isolates collected from greenhouses in Black Sea region of Türkiye. Twenty-seven iPBS and thirty-six SCoT primers were assessed to visualize genetic variation among isolates, and four primers from each marker were used for the entire study. The mean percentage of resolving power per primer was 1.10 and 0.73 for iPBS and SCoT markers, respectively. The dendrogram obtained from the combined dataset of both marker systems divided the isolates into two main groups with a genetic similarity of 92%, which is partially associated with the geographical origin of the isolates. The dendrogram of Nei's genetic distances separated the Zonguldak population from all other populations. Karabük and Bartın were grouped, while Ordu and Giresun departed from these populations. STRUCTURE analysis supported with the highest mean value of Ln likelihood (ΔK = 4; LnP(K) = -432.0) the distribution of P. griseola populations based on the Nei’s dendrogram. The mean genetic differentiation (GST) among all populations was a high level at 0.429, but there was a low level of gene flow (NM) at 0.665. AMOVA analysis showed that 58% of genetic variation was between the isolates within populations, and 42% was among populations. iPBS and SCoT markers were tested for the first time to assess intraspecific variation among the isolates of P. griseola. Both methods were easy to use and gave us detailed and consistent information about the genetic diversity of P. griseola. The results from the study proved that these markers are useful and effective tools in analyzing the genetic structure of P. griseola.

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来源期刊
Tropical Plant Pathology
Tropical Plant Pathology PLANT SCIENCES-
CiteScore
4.50
自引率
4.00%
发文量
61
审稿时长
6-12 weeks
期刊介绍: Tropical Plant Pathology is an international journal devoted to publishing a wide range of research on fundamental and applied aspects of plant diseases of concern to agricultural, forest and ornamental crops from tropical and subtropical environments.  Submissions must report original research that provides new insights into the etiology and epidemiology of plant disease as well as population biology of plant pathogens, host-pathogen interactions, physiological and molecular plant pathology, and strategies to promote crop protection. The journal considers for publication: original articles, short communications, reviews and letters to the editor. For more details please check the submission guidelines. Founded in 1976, the journal is the official publication of the Brazilian Phytopathology Society.
期刊最新文献
Genetic variability and population structure of Pseudocercospora griseola isolates in the Black Sea region of Türkiye Identification of the causal agent of Guar leaf blight and development of a semi-automated method to quantify disease severity Genomic analysis identifies five pathogenic bacterial species in Argentinian wheat Detached leaf assay-based screening of anthracnose resistant wild strawberry genotypes Spatiotemporal dynamics of Fusarium wilt of banana caused by Subtropical Race 4
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