Molecular factors associated with pathogenicity of Phytophthora cinnamomi

Detalhes bibliográficos
Autor(a) principal: Lourenço, Darling de Andrade
Data de Publicação: 2019
Outros Autores: Moura de Leon, Priscila Marques, Santos, Luís, Choupina, Altino
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/20669
Resumo: Phytophthora cinnamomi is soil pathogen that has a wide range of hosts in several countries and different climates. This fungus is responsible for the chestnut ink disease (Castanea sativa Miller) and death of the tree. Portugal stands out in the production of the European chestnut tree. However, between 2002 and 2004, there was a decrease of 27.3% in the distribution area of this tree due to P. cinnamomi. The aim of this study was to identify molecular factors possibly associated with the fungal pathogenicity through genomic sequences deposited at NCBI using bioinformatics tools. The first contig was used and the OFRs present in de sequences were identified. SmartBlast was used for homologous proteins. The prediction of cellular localization prediction of proteins was performed using four different tools: SignalP 4.1, Cello v.2.5, LOCTree3, Euk-mPLoc 2.0. Protein domains characterization was accomplished using PROSITE and the structure prediction was performed using Phyre2 server. We found 13 proteins probably associated with the pathogenicity of P. cinnamomi and its properties related to the infection were analyzed in silico. These results are important since they are a first step in the search for pathogenic factors.
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spelling Molecular factors associated with pathogenicity of Phytophthora cinnamomiFatores moleculares associados com a patogenicidade de Phytophthora cinnamomiChestnut ink diseaseOomycetesInfectionBioinformaticsPhytophthora cinnamomi is soil pathogen that has a wide range of hosts in several countries and different climates. This fungus is responsible for the chestnut ink disease (Castanea sativa Miller) and death of the tree. Portugal stands out in the production of the European chestnut tree. However, between 2002 and 2004, there was a decrease of 27.3% in the distribution area of this tree due to P. cinnamomi. The aim of this study was to identify molecular factors possibly associated with the fungal pathogenicity through genomic sequences deposited at NCBI using bioinformatics tools. The first contig was used and the OFRs present in de sequences were identified. SmartBlast was used for homologous proteins. The prediction of cellular localization prediction of proteins was performed using four different tools: SignalP 4.1, Cello v.2.5, LOCTree3, Euk-mPLoc 2.0. Protein domains characterization was accomplished using PROSITE and the structure prediction was performed using Phyre2 server. We found 13 proteins probably associated with the pathogenicity of P. cinnamomi and its properties related to the infection were analyzed in silico. These results are important since they are a first step in the search for pathogenic factors.Phytophthora cinnamomi é um patógeno do solo que possui uma ampla gama de hospedeiros em diversos países de diferentes climas. Esse fungo é responsável pela doença da tinta do castanheiro europeu (Castanea sativa Miller) e conduz à morte da árvore. Portugal se destaca na produção do castanheiro europeu. Entretanto, entre 2002 e 2004, houve uma redução de 27.3% na área de distribuição dessa área devido ao P. cinnamomi. O objetivo deste trabalho foi identificar fatores moleculares possivelmente associados à patogenicidade do fungo através de sequências genômicas depositadas no NCBI utilizando ferramentas de bioinformática. O primeiro contig foi utilizado e as ORFs presentes nas sequências foram identificadas. Foi utilizado o smartBlast em busca de proteínas homólogas. A predição da localização celular das proteínas foi feita através de quatro ferramentas: SignalP 4.1, Cello v.2.5, LOCTree3, Euk-mPLoc 2.0. A caracterização dos domínios dos produtos foi realizada utilizando o PROSITE e a predição das estruturas foi realizada utilizando o servidor Phyre2. Foram encontradas 13 proteínas provavelmente associadas com a patogenicidade de P. cinnamomi e as suas propriedades relacionadas com a infecção foram analisadas in silico. Esses resultados são importantes uma vez que são uma primeira etapa na busca por fatores patogênicos.The authors are grateful to Polytechnic Institute of Bragança (IPB) and especially to the Agricultural College of Bragança (IPB) for providing support to carry out this work.Sociedade de Ciências Agrárias de PortugalBiblioteca Digital do IPBLourenço, Darling de AndradeMoura de Leon, Priscila MarquesSantos, LuísChoupina, Altino2020-02-24T15:09:52Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/20669engDarling de Andrade Lourenço, Priscila Marques Moura de Leon, Luís Santos & Altino Branco Choupina (2019). Molecular factors associated with pathogenicity of Phytophthora cinnamomi. Revista de Ciências Agrárias, 42(4): 1059-10700871-018X10.19084/rca.18577info: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:RCAAP2023-11-21T10:46:29Zoai:bibliotecadigital.ipb.pt:10198/20669Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:11:15.407862Repositório 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 Molecular factors associated with pathogenicity of Phytophthora cinnamomi
Fatores moleculares associados com a patogenicidade de Phytophthora cinnamomi
title Molecular factors associated with pathogenicity of Phytophthora cinnamomi
spellingShingle Molecular factors associated with pathogenicity of Phytophthora cinnamomi
Lourenço, Darling de Andrade
Chestnut ink disease
Oomycetes
Infection
Bioinformatics
title_short Molecular factors associated with pathogenicity of Phytophthora cinnamomi
title_full Molecular factors associated with pathogenicity of Phytophthora cinnamomi
title_fullStr Molecular factors associated with pathogenicity of Phytophthora cinnamomi
title_full_unstemmed Molecular factors associated with pathogenicity of Phytophthora cinnamomi
title_sort Molecular factors associated with pathogenicity of Phytophthora cinnamomi
author Lourenço, Darling de Andrade
author_facet Lourenço, Darling de Andrade
Moura de Leon, Priscila Marques
Santos, Luís
Choupina, Altino
author_role author
author2 Moura de Leon, Priscila Marques
Santos, Luís
Choupina, Altino
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Lourenço, Darling de Andrade
Moura de Leon, Priscila Marques
Santos, Luís
Choupina, Altino
dc.subject.por.fl_str_mv Chestnut ink disease
Oomycetes
Infection
Bioinformatics
topic Chestnut ink disease
Oomycetes
Infection
Bioinformatics
description Phytophthora cinnamomi is soil pathogen that has a wide range of hosts in several countries and different climates. This fungus is responsible for the chestnut ink disease (Castanea sativa Miller) and death of the tree. Portugal stands out in the production of the European chestnut tree. However, between 2002 and 2004, there was a decrease of 27.3% in the distribution area of this tree due to P. cinnamomi. The aim of this study was to identify molecular factors possibly associated with the fungal pathogenicity through genomic sequences deposited at NCBI using bioinformatics tools. The first contig was used and the OFRs present in de sequences were identified. SmartBlast was used for homologous proteins. The prediction of cellular localization prediction of proteins was performed using four different tools: SignalP 4.1, Cello v.2.5, LOCTree3, Euk-mPLoc 2.0. Protein domains characterization was accomplished using PROSITE and the structure prediction was performed using Phyre2 server. We found 13 proteins probably associated with the pathogenicity of P. cinnamomi and its properties related to the infection were analyzed in silico. These results are important since they are a first step in the search for pathogenic factors.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2020-02-24T15:09:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/20669
url http://hdl.handle.net/10198/20669
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Darling de Andrade Lourenço, Priscila Marques Moura de Leon, Luís Santos & Altino Branco Choupina (2019). Molecular factors associated with pathogenicity of Phytophthora cinnamomi. Revista de Ciências Agrárias, 42(4): 1059-1070
0871-018X
10.19084/rca.18577
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dc.publisher.none.fl_str_mv Sociedade de Ciências Agrárias de Portugal
publisher.none.fl_str_mv Sociedade de Ciências Agrárias de Portugal
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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