Metagenomic nanopore sequencing versus conventional diagnosis for identification of the dieback pathogens of mango trees
Hassan, Asmaa H; Bebawy, Abraam S; Saad, Mina T; Mosaad, Gamal S; Saad, Bishoy T; Eltayeb, Wafaa N; Aboshanab, Khaled;
Abstract
Dieback is one of the most dangerous fungal diseases affecting mango trees. In this study, nanopore metagenome sequencing of the root-soil samples and infected plant tissues was conducted to identify the fungal pathogens present. Soil analysis of the infected mango trees showed the abundance of the Dikarya subkingdom (59%) including Lasiodiplodia theobromae (15%), Alternaria alternata (6%), Ceratocystis huliohia and Colletotrichum gloeosporioides. Analysis of the infected plant tissues revealed the presence of A. alternata (34%). The data were deposited in the National Center of Biotechnology Information (PRJNA767267). In conclusion, nanopore metagenome sequencing analysis was a valuable tool to rapidly identify dieback-associated fungal pathogens.
Other data
| Title | Metagenomic nanopore sequencing versus conventional diagnosis for identification of the dieback pathogens of mango trees | Authors | Hassan, Asmaa H; Bebawy, Abraam S; Saad, Mina T; Mosaad, Gamal S; Saad, Bishoy T; Eltayeb, Wafaa N; Aboshanab, Khaled | Keywords | Mangifera indica; MinION™;Oxford Nanopore Technologies;dieback disease;fungi;mango trees;nanopore metagenomic;root-soil | Issue Date | Dec-2022 | Journal | BioTechniques | Volume | 73 | Issue | 6 | ISSN | 0736-6205 1940-9818 |
DOI | 10.2144/btn-2022-0087 | PubMed ID | 36412999 | Scopus ID | 2-s2.0-85144587754 |
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