Maruzanete Pereira de Melo, Sara de Sousa Martins, Poliana Prates de Souza Soares, Naasoom Luiz Santos Mesquita, Armínio Santos, Quelmo Silva de Novaes, Vitória Cristina Santiago Alves, José Luiz Bezerra, Jadson Diogo Pereira Bezerra
{"title":"First report Calonectria hawksworthii as an aetiological agent of fruit rot of cocoa in Brazil","authors":"Maruzanete Pereira de Melo, Sara de Sousa Martins, Poliana Prates de Souza Soares, Naasoom Luiz Santos Mesquita, Armínio Santos, Quelmo Silva de Novaes, Vitória Cristina Santiago Alves, José Luiz Bezerra, Jadson Diogo Pereira Bezerra","doi":"10.1111/jph.13305","DOIUrl":null,"url":null,"abstract":"<p>Cacao (<i>Theobroma cacoa</i> L.) is an important tropical fruit tree used in chocolate production. Among the biotic problems interfering with fruit production, phytopathogenic fungi stand out. During a visit to cocoa production areas in the municipality of Medicilândia, Pará, Brazil (Amazon region), we observed cocoa fruits with dark lesions and greyish-white cottony mycelia growth. In order to determine the aetiological agent's identity, we extracted DNA and amplified part of the <i>TEF-1α</i> and <i>RBP2</i> genes and compared them with sequences in GenBank using the BLASTn tool. Based on molecular results and phylogenetic analysis, the isolates were identified as <i>Calonectria hawksworthii</i>. Inoculations in cacao fruits showed symptoms after 6 days and were similar to those collected in the field, confirming the postulates. This study is the first report of <i>Ca. hawksworthii</i> causing cocoa bean rot worldwide.</p>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Phytopathology","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jph.13305","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Cacao (Theobroma cacoa L.) is an important tropical fruit tree used in chocolate production. Among the biotic problems interfering with fruit production, phytopathogenic fungi stand out. During a visit to cocoa production areas in the municipality of Medicilândia, Pará, Brazil (Amazon region), we observed cocoa fruits with dark lesions and greyish-white cottony mycelia growth. In order to determine the aetiological agent's identity, we extracted DNA and amplified part of the TEF-1α and RBP2 genes and compared them with sequences in GenBank using the BLASTn tool. Based on molecular results and phylogenetic analysis, the isolates were identified as Calonectria hawksworthii. Inoculations in cacao fruits showed symptoms after 6 days and were similar to those collected in the field, confirming the postulates. This study is the first report of Ca. hawksworthii causing cocoa bean rot worldwide.
期刊介绍:
Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays.
Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes.
Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.