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Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
Authors:Sergio Ciordia  Lee Robertson  Susana C. Arcos  María Rosa González  María del Carmen Mena  Paula Zamora  Paulo Vieira  Isabel Abrantes  Manuel Mota  Philippe Castagnone‐Sereno  Alfonso Navas
Affiliation:1. Unidad de Proteomica Centro Nacional de Biotecnología, CSIC, Madrid, Spain;2. Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales, CSIC, Madrid, Spain;3. Centro de Sanidad Forestal de Calabazanos, Consejería de Fomento y Medio Ambiente, Dirección General del Medio Natural, Junta de Castilla y León, Polígono Industrial de Villamuriel de Cerrato, Palencia, Espa?a;4. NemaLab/ ICAAM (Instituto de Ciências Agrárias e Ambientais Mediterranicas), Universidade de évora, évora, Portugal;5. Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal;6. INRA UMR1355/Université de Nice‐SophiaAntipolis/CNRS UMR7254, Institut Sophia Agrobiotech, Sophia Antipolis, France
Abstract:The Pine Wood Nematode (PWN) Bursaphelenchus xylophilus is a severe forest pathogen in countries where it has been introduced and is considered a worldwide quarantine organism. In this study, protein markers for differentiating populations of this nematode were identified by studying differences among four selected Iberian and one American population. These populations were compared by quantitative proteomics (iTRAQ). From a total of 2860 proteins identified using the public database from the B. xylophilus genome project, 216 were unambiguous and significantly differentially regulated in the studied populations. Comparisons of their pairwise ratio were statistically treated and supported in order to convert them into discrete character states, suggesting that 141 proteins were not informative as population specific markers. Application of the Character Compatibility methodology on the remaining 75 proteins (belonging to families with different biological functions) excludes 27 which are incompatible among them. Considering only the compatible proteins, the method selects a subset of 30 specific unique protein markers which allowed the compared classification of the Iberian isolates. This approach makes it easier search for diagnostic tools and phylogenetic inference within species and populations of a pathogen exhibiting a high level of genetic diversity.
Keywords:Animal proteomics  Bursaphelenchus xylophilus  Character compatibility  iTRAQ  Proteins population biomarkers  Quantitative proteomics
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