Genomic analysis of Colletotrichum camelliae responsible for tea brown blight disease.

Colletotrichum Colletotrichum camelliae Genome Pathogenicity Tea brown blight disease Virulence factors

Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
06 Sep 2023
Historique:
received: 22 11 2022
accepted: 16 08 2023
medline: 8 9 2023
pubmed: 7 9 2023
entrez: 6 9 2023
Statut: epublish

Résumé

Colletotrichum camelliae, one of the most important phytopathogenic fungi infecting tea plants (Camellia sinensis), causes brown blight disease resulting in significant economic losses in yield of some sensitive cultivated tea varieties. To better understand its phytopathogenic mechanism, the genetic information is worth being resolved. Here, a high-quality genomic sequence of C. camelliae (strain LT-3-1) was sequenced using PacBio RSII sequencing platform, one of the most advanced Three-generation sequencing platforms and assembled. The result showed that the fungal genomic sequence is 67.74 Mb in size (with the N50 contig 5.6 Mb in size) containing 14,849 putative genes, of which about 95.27% were annotated. The data revealed a large class of genomic clusters potentially related to fungal pathogenicity. Based on the Pathogen Host Interactions database, a total of 1698 genes (11.44% of the total ones) were annotated, containing 541 genes related to plant cell wall hydrolases which is remarkably higher than those of most species of Colletotrichum and others considered to be hemibiotrophic and necrotrophic fungi. It's likely that the increase in cell wall-degrading enzymes reflects a crucial adaptive characteristic for infecting tea plants. Considering that C. camelliae has a specific host range and unique morphological and biological traits that distinguish it from other species of the genus Colletotrichum, characterization of the fungal genome will improve our understanding of the fungus and its phytopathogenic mechanism as well.

Sections du résumé

BACKGROUND BACKGROUND
Colletotrichum camelliae, one of the most important phytopathogenic fungi infecting tea plants (Camellia sinensis), causes brown blight disease resulting in significant economic losses in yield of some sensitive cultivated tea varieties. To better understand its phytopathogenic mechanism, the genetic information is worth being resolved.
RESULTS RESULTS
Here, a high-quality genomic sequence of C. camelliae (strain LT-3-1) was sequenced using PacBio RSII sequencing platform, one of the most advanced Three-generation sequencing platforms and assembled. The result showed that the fungal genomic sequence is 67.74 Mb in size (with the N50 contig 5.6 Mb in size) containing 14,849 putative genes, of which about 95.27% were annotated. The data revealed a large class of genomic clusters potentially related to fungal pathogenicity. Based on the Pathogen Host Interactions database, a total of 1698 genes (11.44% of the total ones) were annotated, containing 541 genes related to plant cell wall hydrolases which is remarkably higher than those of most species of Colletotrichum and others considered to be hemibiotrophic and necrotrophic fungi. It's likely that the increase in cell wall-degrading enzymes reflects a crucial adaptive characteristic for infecting tea plants.
CONCLUSION CONCLUSIONS
Considering that C. camelliae has a specific host range and unique morphological and biological traits that distinguish it from other species of the genus Colletotrichum, characterization of the fungal genome will improve our understanding of the fungus and its phytopathogenic mechanism as well.

Identifiants

pubmed: 37674131
doi: 10.1186/s12864-023-09598-6
pii: 10.1186/s12864-023-09598-6
pmc: PMC10483846
doi:

Substances chimiques

Tea 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

528

Subventions

Organisme : Enshi Tujia and Miao Autonomous Prefecture Bureau of Science and Technology
ID : XYJ2021000083
Organisme : National Natural Science Foundation of China
ID : 31872014

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Linghong Kong (L)

National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Wuhan, China.
Hubei Hongshan Laboratory, Wuhan, 430070, Hubei, China.
College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Key Lab of Plant Pathology of Hubei Province, Wuhan, 430070, Hubei, China.

Jiao Chen (J)

National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Wuhan, China.
Hubei Hongshan Laboratory, Wuhan, 430070, Hubei, China.
College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Key Lab of Plant Pathology of Hubei Province, Wuhan, 430070, Hubei, China.

Kaili Dong (K)

National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Wuhan, China.
Hubei Hongshan Laboratory, Wuhan, 430070, Hubei, China.
College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Key Lab of Plant Pathology of Hubei Province, Wuhan, 430070, Hubei, China.

Karim Shafik (K)

National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Wuhan, China.
Hubei Hongshan Laboratory, Wuhan, 430070, Hubei, China.
College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Key Lab of Plant Pathology of Hubei Province, Wuhan, 430070, Hubei, China.
Department of plant pathology, Faculty of Agriculture, Alexandria University, Alexandria, 21526, Egypt.

Wenxing Xu (W)

National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Wuhan, China. xuwenxing@mail.hzau.edu.cn.
Hubei Hongshan Laboratory, Wuhan, 430070, Hubei, China. xuwenxing@mail.hzau.edu.cn.
College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. xuwenxing@mail.hzau.edu.cn.
Key Lab of Plant Pathology of Hubei Province, Wuhan, 430070, Hubei, China. xuwenxing@mail.hzau.edu.cn.

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Classifications MeSH