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

Detalhes bibliográficos
Autor(a) principal: Ciordia, Sergio
Data de Publicação: 2015
Outros Autores: Robertson, Lee, Arcos, Susana, Gonzales, Maria Rosa, Mena, Maria del Carmen, Zamora, Paula, Vieira, Paulo, Abrantes, Isabel, Mota, Manuel, Castagnone-Sereno, Philippe, Navas, Alfonso
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/17630
https://doi.org/10.1002
Resumo: 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. This article is protected by copyright. All rights reserved.
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spelling Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibilityPine Wood NematodeProtein markersThe 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. This article is protected by copyright. All rights reserved.Proteomics2016-02-29T11:41:10Z2016-02-292015-01-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/17630http://hdl.handle.net/10174/17630https://doi.org/10.1002porhttp://www.ncbi.nlm.nih.gov/pubmed/26718462ndndndndndndpvieira@uevora.ptndmmota@uevora.ptndnd581Ciordia, SergioRobertson, LeeArcos, SusanaGonzales, Maria RosaMena, Maria del CarmenZamora, PaulaVieira, PauloAbrantes, IsabelMota, ManuelCastagnone-Sereno, PhilippeNavas, Alfonsoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:05:14Zoai:dspace.uevora.pt:10174/17630Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:09:42.999591Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
title Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
spellingShingle Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
Ciordia, Sergio
Pine Wood Nematode
Protein markers
title_short Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
title_full Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
title_fullStr Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
title_full_unstemmed Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
title_sort Protein markers of Bursaphelenchus xylophilus Steiner & Buhrer, 1934 (Nickle, 1970) populations using quantitative proteomics and character compatibility
author Ciordia, Sergio
author_facet Ciordia, Sergio
Robertson, Lee
Arcos, Susana
Gonzales, Maria Rosa
Mena, Maria del Carmen
Zamora, Paula
Vieira, Paulo
Abrantes, Isabel
Mota, Manuel
Castagnone-Sereno, Philippe
Navas, Alfonso
author_role author
author2 Robertson, Lee
Arcos, Susana
Gonzales, Maria Rosa
Mena, Maria del Carmen
Zamora, Paula
Vieira, Paulo
Abrantes, Isabel
Mota, Manuel
Castagnone-Sereno, Philippe
Navas, Alfonso
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ciordia, Sergio
Robertson, Lee
Arcos, Susana
Gonzales, Maria Rosa
Mena, Maria del Carmen
Zamora, Paula
Vieira, Paulo
Abrantes, Isabel
Mota, Manuel
Castagnone-Sereno, Philippe
Navas, Alfonso
dc.subject.por.fl_str_mv Pine Wood Nematode
Protein markers
topic Pine Wood Nematode
Protein markers
description 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. This article is protected by copyright. All rights reserved.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-06T00:00:00Z
2016-02-29T11:41:10Z
2016-02-29
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/17630
http://hdl.handle.net/10174/17630
https://doi.org/10.1002
url http://hdl.handle.net/10174/17630
https://doi.org/10.1002
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dc.relation.none.fl_str_mv http://www.ncbi.nlm.nih.gov/pubmed/26718462
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nd
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pvieira@uevora.pt
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mmota@uevora.pt
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581
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dc.publisher.none.fl_str_mv Proteomics
publisher.none.fl_str_mv Proteomics
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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