The death is red: analysis of the predicted secretome of Aspergillus welwitschiae, with emphasis in pathogenicity and carbohydrate metabolism

Detalhes bibliográficos
Autor(a) principal: Gabriel Quintanilha Peixoto
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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spelling 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)
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instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/41331/9/diss%2014042022.pdf
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