Literature DB >> 26718462

Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility.

Sergio Ciordia1, Lee Robertson2, Susana C Arcos2, María Rosa González2, María Del Carmen Mena1, Paula Zamora3, Paulo Vieira4, Isabel Abrantes5, Manuel Mota4, Philippe Castagnone-Sereno6, Alfonso Navas2.   

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.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Animal proteomics; Bursaphelenchus xylophilus; Character compatibility; Proteins population biomarkers; Quantitative proteomics; iTRAQ

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Substances:

Year:  2016        PMID: 26718462     DOI: 10.1002/pmic.201500106

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

1.  Phosphorylation coexists with O-GlcNAcylation in a plant virus protein and influences viral infection.

Authors:  Sandra Martínez-Turiño; José De Jesús Pérez; Marta Hervás; Rosana Navajas; Sergio Ciordia; Namrata D Udeshi; Jeffrey Shabanowitz; Donald F Hunt; Juan Antonio García
Journal:  Mol Plant Pathol       Date:  2018-01-30       Impact factor: 5.663

2.  BRC4Env, a network of Biological Resource Centres for research in environmental and agricultural sciences.

Authors:  Christian Mougin; Emmanuelle Artige; Frédéric Marchand; Samuel Mondy; Céline Ratié; Nadine Sellier; Philippe Castagnone-Sereno; Armelle Cœur D'Acier; Daniel Esmenjaud; Céline Faivre-Primot; Laurent Granjon; Valérie Hamelet; Frederic Lange; Sylvie Pagès; Frédéric Rimet; Nicolas Ris; Guillaume Sallé
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-19       Impact factor: 4.223

3.  Quantitative Proteomics Comparison of Total Expressed Proteomes of Anisakis simplex Sensu Stricto, A. pegreffii, and Their Hybrid Genotype.

Authors:  Susana C Arcos; Lee Robertson; Sergio Ciordia; Isabel Sánchez-Alonso; Mercedes Careche; Noelia Carballeda-Sanguiao; Miguel Gonzalez-Muñoz; Alfonso Navas
Journal:  Genes (Basel)       Date:  2020-08-10       Impact factor: 4.096

  3 in total

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