Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/103270
Title: Virulence Biomarkers of Bursaphelenchus xylophilus: A Proteomic Approach
Authors: Cardoso, Joana M. S. 
Anjo, Sandra I. 
Manadas, Bruno 
Silva, Hugo 
Abrantes, Isabel M. O. 
Nakamura, Katsunori
Fonseca, Luís 
Keywords: pine trees; pine wilt disease; pinewood nematode; plant–nematode interactions; proteomics; secretome; virulence
Issue Date: 2021
Project: 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) 
Serial title, monograph or event: Frontiers in Plant Science
Volume: 12
Abstract: 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
Rights: openAccess
Appears in Collections:I&D CFE - Artigos em Revistas Internacionais
I&D CNC - Artigos em Revistas Internacionais

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