Metagenomic nanopore sequencing versus conventional diagnosis for identification of the dieback pathogens of mango trees

被引：6

作者：

Hassan, Asmaa H. ^{[1
]}

Bebawy, Abraam S. ^{[2
]}

Saad, Mina T. ^{[3
]}

Mosaad, Gamal S. ^{[3
]}

Saad, Bishoy T. ^{[3
]}

Eltayeb, Wafaa N. ^{[4
]}

Aboshanab, Khaled M. ^{[5
]}

机构：

[1] HITS Solut Co, Dept Agr Genom, Cairo 11765, Egypt

[2] HITS Solut Co, Dept Genom, Cairo 11765, Egypt

[3] HITS Solut Co, Dept Bioinformat, Cairo 11765, Egypt

[4] Misr Int Univ MIU, Fac Pharm, Dept Microbiol, Cairo 19648, Egypt

[5] Ain Shams Univ, Fac Pharm, Dept Microbiol & Immunol, Org African Unity St, Cairo 11566, Egypt

来源：

BIOTECHNIQUES | 2022年 / 73卷 / 06期

关键词：

dieback disease; fungi; Mangifera indica; mango trees; MinION (TM); nanopore metagenomic; Oxford Nanopore Technologies; root-soil; MANGIFERA-INDICA; NEOFUSICOCCUM-PARVUM; FUNGI; KERNEL; GENOME; BARK;

D O I：

10.2144/btn-2022-0087

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：261 / 272

页数：12

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