The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | http://hdl.handle.net/1843/41331 |
Resumo: | In 2018, Aspergillus welwitschiae was described as the causing agent of the bole rot disease of sisal (Agave sisalana), rather than Aspergillus niger as previously thought, of which A. welwitschiae is a cryptic species. Since then, we have sought to understand the mechanisms of pathogenicity of this fungus by sequencing the genome of two isolates from A. sisalana infected stem tissues and subsequent analysis of the gene content of these fungi. The genomes sequenced in Illumina HiSeq 2500 were assembled and annotated, possessing approximately 34.8 Mbp containing 12,549 protein-coding genes and 32.2 Mbp containing 11,809 protein-coding genes for CCMB663 and CCMB674, respectively. The resulting files were used for the analysis of secretomes, in which different software were applied as filters to select the secreted proteins for the extracellular medium, and these proteins were associated with terms of Gene Ontology (GO). Our results show that there are a number of terms that describe functions associated with the degradation of proteins, lipids, and especially carbohydrates and that the relative abundance of these terms is similar between different isolates. From this set of proteins predicted as secreted, possible effector proteins were identified, that is, proteins that facilitate the invasion and colonization of the infected plant. Our results show that most of the proteins identified have no similarity with known effectors, and in those where it was possible to identify conserved domains, there are essential and very important genes for virulence in plants, which can act both to silence the immune response and to stimulate it, which can cause cell death in plant tissues. Secretory and cytosolic plant cell wall degrading enzymes were also analyzed. There is a great diversity of genes encoding cell wall degrading enzymes, some specialized in the degradation of sugars present in large quantities in the tissues of the sisal stem, as well as degradation proteins that also act as effectors. With our results, we have improved the understanding of the Aspergillus welwitschiae x Agave sisalana pathosystem, and also identified new effectors of interest in the fungus-plant interaction. |
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Aristóteles Góes Netohttp://lattes.cnpq.br/6134133834289438Eric Roberto Guimarães Rocha AguiarFernanda BadottiSiomar de Castro SoaresSandeep TiwariCarlos Priminho Pirovanihttp://lattes.cnpq.br/9614546264344691Gabriel Quintanilha Peixoto2022-05-03T18:29:58Z2022-05-03T18:29:58Z2019-07-22http://hdl.handle.net/1843/41331In 2018, Aspergillus welwitschiae was described as the causing agent of the bole rot disease of sisal (Agave sisalana), rather than Aspergillus niger as previously thought, of which A. welwitschiae is a cryptic species. Since then, we have sought to understand the mechanisms of pathogenicity of this fungus by sequencing the genome of two isolates from A. sisalana infected stem tissues and subsequent analysis of the gene content of these fungi. The genomes sequenced in Illumina HiSeq 2500 were assembled and annotated, possessing approximately 34.8 Mbp containing 12,549 protein-coding genes and 32.2 Mbp containing 11,809 protein-coding genes for CCMB663 and CCMB674, respectively. The resulting files were used for the analysis of secretomes, in which different software were applied as filters to select the secreted proteins for the extracellular medium, and these proteins were associated with terms of Gene Ontology (GO). Our results show that there are a number of terms that describe functions associated with the degradation of proteins, lipids, and especially carbohydrates and that the relative abundance of these terms is similar between different isolates. From this set of proteins predicted as secreted, possible effector proteins were identified, that is, proteins that facilitate the invasion and colonization of the infected plant. Our results show that most of the proteins identified have no similarity with known effectors, and in those where it was possible to identify conserved domains, there are essential and very important genes for virulence in plants, which can act both to silence the immune response and to stimulate it, which can cause cell death in plant tissues. Secretory and cytosolic plant cell wall degrading enzymes were also analyzed. There is a great diversity of genes encoding cell wall degrading enzymes, some specialized in the degradation of sugars present in large quantities in the tissues of the sisal stem, as well as degradation proteins that also act as effectors. With our results, we have improved the understanding of the Aspergillus welwitschiae x Agave sisalana pathosystem, and also identified new effectors of interest in the fungus-plant interaction.Em 2018, Aspergillus welwitschiae foi descrito como causador da podridão vermelha do sisal (Agave sisalana), ao invés de Aspergillus niger, do qual era uma espécie críptica. Desde então, buscamos entender mecanismos de patogenicidade deste fungo através do sequenciamento do genoma de dois isolados provenientes de tecidos do caule infectado de A. sisalana e posterior análise do conteúdo gênico destes fungos. Os genomas sequenciados em Illumina HiSeq 2500 foram montados e anotados, possuindo aproximadamente 34,8 Mbp contendo 12.549 genes codificadores de proteínas e 32,2 Mbp contendo 11.809 genes codificadores de proteínas para CCMB663 e CCMB674, respectivamente. Os arquivos resultantes foram utilizados para a predição do secretoma, nos quais diferentes programas foram aplicados como filtros para predição das proteínas secretadas para o meio extracelular, e essas proteínas foram associadas à termos de ontologia gênica (GO). Nossos resultados mostram que há uma grande quantidade de termos GO que descrevem funções associadas à degradação de proteínas, lipídios, e principalmente, carboidratos, e que a abundância relativa destes termos é similar entre os diferentes isolados. A partir deste conjunto de proteínas preditas como secretadas, foram identificadas ainda possíveis proteínas efetoras, ou seja, proteínas que facilitam a invasão e colonização da planta infectada. Os resultados mostram que a maior parte das proteínas identificadas não tem similaridade com efetores conhecidos e, naqueles onde foi possível indentificar domínios conservados, há genes essenciais e de grande impotância para a virulência em plantas, os quais atuam tanto silenciando a resposta imune quanto a estimulando, podendo causar morte celular nos tecidos da planta. Foram analisadas ainda proteínas degradadoras de parede celular vegetal, secretadas e citosólicas. Há uma grande riqueza e quantidade de genes codificantes de proteínas degradadoras de parede celular, algumas especializadas na degradação de açúcares presentes em grandes quantidades nos tecidos do caule de sisal, além de proteínas de degradação que também agem como efetores. Com nossos resultados, ampliamos a compreensão do patossistema Aspergillus welwitschiae x Agave sisalana como também identificamos novos efetores de interesse na interação fungo-planta.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorengUniversidade Federal de Minas GeraisPrograma de Pós-Graduação em BioinformaticaUFMGBrasilICB - INSTITUTO DE CIÊNCIAS BIOLOGICASBioinformáticaFungosAspergillus - patogenicidadeInterações Hospedeiro-PatógenoFungoPodridão VermelhaInteração Planta-Patógeno.The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolisminfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGORIGINALdiss 14042022.pdfdiss 14042022.pdfapplication/pdf14924067https://repositorio.ufmg.br/bitstream/1843/41331/9/diss%2014042022.pdf44cd5f9e7cc8dbd0291e1ca0a710405fMD59LICENSElicense.txtlicense.txttext/plain; charset=utf-82118https://repositorio.ufmg.br/bitstream/1843/41331/10/license.txtcda590c95a0b51b4d15f60c9642ca272MD5101843/413312022-05-03 15:29:58.594oai:repositorio.ufmg.br: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ório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-05-03T18:29:58Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism |
title |
The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism |
spellingShingle |
The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism Gabriel Quintanilha Peixoto Fungo Podridão Vermelha Interação Planta-Patógeno. Bioinformática Fungos Aspergillus - patogenicidade Interações Hospedeiro-Patógeno |
title_short |
The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism |
title_full |
The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism |
title_fullStr |
The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism |
title_full_unstemmed |
The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism |
title_sort |
The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism |
author |
Gabriel Quintanilha Peixoto |
author_facet |
Gabriel Quintanilha Peixoto |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Aristóteles Góes Neto |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/6134133834289438 |
dc.contributor.advisor-co1.fl_str_mv |
Eric Roberto Guimarães Rocha Aguiar |
dc.contributor.advisor-co2.fl_str_mv |
Fernanda Badotti |
dc.contributor.referee1.fl_str_mv |
Siomar de Castro Soares |
dc.contributor.referee2.fl_str_mv |
Sandeep Tiwari |
dc.contributor.referee3.fl_str_mv |
Carlos Priminho Pirovani |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9614546264344691 |
dc.contributor.author.fl_str_mv |
Gabriel Quintanilha Peixoto |
contributor_str_mv |
Aristóteles Góes Neto Eric Roberto Guimarães Rocha Aguiar Fernanda Badotti Siomar de Castro Soares Sandeep Tiwari Carlos Priminho Pirovani |
dc.subject.por.fl_str_mv |
Fungo Podridão Vermelha Interação Planta-Patógeno. |
topic |
Fungo Podridão Vermelha Interação Planta-Patógeno. Bioinformática Fungos Aspergillus - patogenicidade Interações Hospedeiro-Patógeno |
dc.subject.other.pt_BR.fl_str_mv |
Bioinformática Fungos Aspergillus - patogenicidade Interações Hospedeiro-Patógeno |
description |
In 2018, Aspergillus welwitschiae was described as the causing agent of the bole rot disease of sisal (Agave sisalana), rather than Aspergillus niger as previously thought, of which A. welwitschiae is a cryptic species. Since then, we have sought to understand the mechanisms of pathogenicity of this fungus by sequencing the genome of two isolates from A. sisalana infected stem tissues and subsequent analysis of the gene content of these fungi. The genomes sequenced in Illumina HiSeq 2500 were assembled and annotated, possessing approximately 34.8 Mbp containing 12,549 protein-coding genes and 32.2 Mbp containing 11,809 protein-coding genes for CCMB663 and CCMB674, respectively. The resulting files were used for the analysis of secretomes, in which different software were applied as filters to select the secreted proteins for the extracellular medium, and these proteins were associated with terms of Gene Ontology (GO). Our results show that there are a number of terms that describe functions associated with the degradation of proteins, lipids, and especially carbohydrates and that the relative abundance of these terms is similar between different isolates. From this set of proteins predicted as secreted, possible effector proteins were identified, that is, proteins that facilitate the invasion and colonization of the infected plant. Our results show that most of the proteins identified have no similarity with known effectors, and in those where it was possible to identify conserved domains, there are essential and very important genes for virulence in plants, which can act both to silence the immune response and to stimulate it, which can cause cell death in plant tissues. Secretory and cytosolic plant cell wall degrading enzymes were also analyzed. There is a great diversity of genes encoding cell wall degrading enzymes, some specialized in the degradation of sugars present in large quantities in the tissues of the sisal stem, as well as degradation proteins that also act as effectors. With our results, we have improved the understanding of the Aspergillus welwitschiae x Agave sisalana pathosystem, and also identified new effectors of interest in the fungus-plant interaction. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019-07-22 |
dc.date.accessioned.fl_str_mv |
2022-05-03T18:29:58Z |
dc.date.available.fl_str_mv |
2022-05-03T18:29:58Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/41331 |
url |
http://hdl.handle.net/1843/41331 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Bioinformatica |
dc.publisher.initials.fl_str_mv |
UFMG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
ICB - INSTITUTO DE CIÊNCIAS BIOLOGICAS |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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UFMG |
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Repositório Institucional da UFMG |
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