Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/103270
Título: Virulence Biomarkers of Bursaphelenchus xylophilus: A Proteomic Approach
Autor: Cardoso, Joana M. S. 
Anjo, Sandra I. 
Manadas, Bruno 
Silva, Hugo 
Abrantes, Isabel M. O. 
Nakamura, Katsunori
Fonseca, Luís 
Palavras-chave: pine trees; pine wilt disease; pinewood nematode; plant–nematode interactions; proteomics; secretome; virulence
Data: 2021
Projeto: POINTERS- PTDC/ASP-SIL/31999/2017 (POCI-01- 145-FEDER-031999), UIDB/04004/2020 and UIDB/04539/2020 
Project ReNATURE – Valorization of the Natural Endogenous Resources of the Centro Region (Centro 2020, Centro-01- 0145-FEDER-000007), Instituto do Ambiente, Tecnologia e Vida 
National Mass Spectrometry Network (RNEM) under contract POCI-01-0145-FEDER-402-022125 (Ref. ROTEIRO/0028/2013) 
Título da revista, periódico, livro ou evento: Frontiers in Plant Science
Volume: 12
Resumo: The pinewood nematode (PWN), Bursaphelenchus xylophilus, one of the most serious forest pests worldwide, is considered the causal agent of the pine wilt disease (PWD). The main host species belong to the genus Pinus, and a variation in the susceptibility of several pine species to PWN infection is well-known. It is also recognized that there is variation in the virulence among B. xylophilus isolates. In the present study, we applied a quantitative mass spectrometry-based proteomics approach to perform a deep characterization of proteomic changes across two B. xylophilus isolates with different virulence from different hosts and geographical origins. A total of 1,456 proteins were quantified and compared in the two isolates secretomes, and a total of 2,741 proteins were quantified and compared in the nematode proteomes in pine tree extract and fungus stimuli conditions. From the proteomic analyses, a group of proteins was selected and identified as potential virulence biomarkers and shed light on putative most pathogenic proteins of this plant-parasitic nematode. Proteomic data are available via ProteomeXchange with identifier PXD029377.
URI: https://hdl.handle.net/10316/103270
ISSN: 1664-462X
DOI: 10.3389/fpls.2021.822289
Direitos: openAccess
Aparece nas coleções:I&D CFE - Artigos em Revistas Internacionais
I&D CNC - Artigos em Revistas Internacionais

Ficheiros deste registo:
Mostrar registo em formato completo

Citações SCOPUSTM   

7
Visto em 15/abr/2024

Citações WEB OF SCIENCETM

7
Visto em 2/abr/2024

Visualizações de página

108
Visto em 16/abr/2024

Downloads

35
Visto em 16/abr/2024

Google ScholarTM

Verificar

Altmetric

Altmetric


Este registo está protegido por Licença Creative Commons Creative Commons