{"title":"Genetic variability and population structure of Pseudocercospora griseola isolates in the Black Sea region of Türkiye","authors":"Sirel Canpolat, Duygu Mermer Doğu, Gülsüm Palacıoğlu","doi":"10.1007/s40858-024-00686-w","DOIUrl":null,"url":null,"abstract":"<p>Angular leaf spot caused by <i>Pseudocercospora griseola</i> 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 <i>Pseudocercospora griseola</i> 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 (Δ<i>K</i> = 4; LnP(<i>K</i>) = -432.0) the distribution of <i>P</i>. <i>griseola</i> populations based on the Nei’s dendrogram. The mean genetic differentiation (G<sub>ST</sub>) among all populations was a high level at 0.429, but there was a low level of gene flow (N<sub>M</sub>) 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 <i>P</i>. <i>griseola</i>. Both methods were easy to use and gave us detailed and consistent information about the genetic diversity of <i>P</i>. <i>griseola</i>. The results from the study proved that these markers are useful and effective tools in analyzing the genetic structure of <i>P</i>. <i>griseola</i>.</p>","PeriodicalId":23354,"journal":{"name":"Tropical Plant Pathology","volume":"16 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tropical Plant Pathology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s40858-024-00686-w","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.