Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/41287 |
Resumo: | Coffee leaf rust caused by the fungus Hemileia vastatrix is one of the most important leaf diseases of coffee plantations worldwide. Current knowledge of the H. vastatrix genome is limited and only a small fraction of the total fungal secretome has been identified. In order to obtain a more comprehensive understanding of its secretome, we aimed to sequence and assemble the entire H. vastatrix genome using two next-generation sequencing platforms and a hybrid assembly strategy. This resulted in a 547 Mb genome of H. vastatrix race XXXIII (Hv33), with 13,364 predicted genes that encode 13,034 putative proteins with transcriptomic support. Based on this proteome, 615 proteins contain putative secretion peptides, and lack transmembrane domains. From this putative secretome, 111 proteins were identified as candidate effectors (EHv33) unique to H. vastatrix, and a subset consisting of 17 EHv33 genes was selected for a temporal gene expression analysis during infection. Five genes were significantly induced early during an incompatible interaction, indicating their potential role as pre-haustorial effectors possibly recognized by the resistant coffee genotype. Another nine genes were significantly induced after haustorium formation in the compatible interaction. Overall, we suggest that this fungus is able to selectively mount its survival strategy with effectors that depend on the host genotype involved in the infection process. |
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Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibilityCoffee - DiseasesGenome sequencingGene expressionCafé - Doenças e pragasSequenciamento de genomaExpressão gênicaCoffee leaf rust caused by the fungus Hemileia vastatrix is one of the most important leaf diseases of coffee plantations worldwide. Current knowledge of the H. vastatrix genome is limited and only a small fraction of the total fungal secretome has been identified. In order to obtain a more comprehensive understanding of its secretome, we aimed to sequence and assemble the entire H. vastatrix genome using two next-generation sequencing platforms and a hybrid assembly strategy. This resulted in a 547 Mb genome of H. vastatrix race XXXIII (Hv33), with 13,364 predicted genes that encode 13,034 putative proteins with transcriptomic support. Based on this proteome, 615 proteins contain putative secretion peptides, and lack transmembrane domains. From this putative secretome, 111 proteins were identified as candidate effectors (EHv33) unique to H. vastatrix, and a subset consisting of 17 EHv33 genes was selected for a temporal gene expression analysis during infection. Five genes were significantly induced early during an incompatible interaction, indicating their potential role as pre-haustorial effectors possibly recognized by the resistant coffee genotype. Another nine genes were significantly induced after haustorium formation in the compatible interaction. Overall, we suggest that this fungus is able to selectively mount its survival strategy with effectors that depend on the host genotype involved in the infection process.PLOS2020-06-01T13:38:06Z2020-06-01T13:38:06Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfPORTO, B. N. et al. Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility. Plos One, San Francisco, v. 14, n. 4, 2019. DOI 10.6084/m9.figshare.7940411http://repositorio.ufla.br/jspui/handle/1/41287Plos Onereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessPorto, Brenda NevesCaixeta, Eveline TeixeiraMathioni, Sandra MarisaVidigal, Pedro Marcus PereiraZambolim, LaércioZambolim, Eunize MacielDonofrio, NicolePolson, Shawn W.Maia, Thiago AndradeChen, ChumingAdetunji, ModupeKingham, BrewsterDalio, Ronaldo José DuriganResende, Mário Lúcio Vilela deeng2023-05-26T19:53:04Zoai:localhost:1/41287Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T19:53:04Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility |
title |
Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility |
spellingShingle |
Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility Porto, Brenda Neves Coffee - Diseases Genome sequencing Gene expression Café - Doenças e pragas Sequenciamento de genoma Expressão gênica |
title_short |
Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility |
title_full |
Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility |
title_fullStr |
Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility |
title_full_unstemmed |
Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility |
title_sort |
Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility |
author |
Porto, Brenda Neves |
author_facet |
Porto, Brenda Neves Caixeta, Eveline Teixeira Mathioni, Sandra Marisa Vidigal, Pedro Marcus Pereira Zambolim, Laércio Zambolim, Eunize Maciel Donofrio, Nicole Polson, Shawn W. Maia, Thiago Andrade Chen, Chuming Adetunji, Modupe Kingham, Brewster Dalio, Ronaldo José Durigan Resende, Mário Lúcio Vilela de |
author_role |
author |
author2 |
Caixeta, Eveline Teixeira Mathioni, Sandra Marisa Vidigal, Pedro Marcus Pereira Zambolim, Laércio Zambolim, Eunize Maciel Donofrio, Nicole Polson, Shawn W. Maia, Thiago Andrade Chen, Chuming Adetunji, Modupe Kingham, Brewster Dalio, Ronaldo José Durigan Resende, Mário Lúcio Vilela de |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Porto, Brenda Neves Caixeta, Eveline Teixeira Mathioni, Sandra Marisa Vidigal, Pedro Marcus Pereira Zambolim, Laércio Zambolim, Eunize Maciel Donofrio, Nicole Polson, Shawn W. Maia, Thiago Andrade Chen, Chuming Adetunji, Modupe Kingham, Brewster Dalio, Ronaldo José Durigan Resende, Mário Lúcio Vilela de |
dc.subject.por.fl_str_mv |
Coffee - Diseases Genome sequencing Gene expression Café - Doenças e pragas Sequenciamento de genoma Expressão gênica |
topic |
Coffee - Diseases Genome sequencing Gene expression Café - Doenças e pragas Sequenciamento de genoma Expressão gênica |
description |
Coffee leaf rust caused by the fungus Hemileia vastatrix is one of the most important leaf diseases of coffee plantations worldwide. Current knowledge of the H. vastatrix genome is limited and only a small fraction of the total fungal secretome has been identified. In order to obtain a more comprehensive understanding of its secretome, we aimed to sequence and assemble the entire H. vastatrix genome using two next-generation sequencing platforms and a hybrid assembly strategy. This resulted in a 547 Mb genome of H. vastatrix race XXXIII (Hv33), with 13,364 predicted genes that encode 13,034 putative proteins with transcriptomic support. Based on this proteome, 615 proteins contain putative secretion peptides, and lack transmembrane domains. From this putative secretome, 111 proteins were identified as candidate effectors (EHv33) unique to H. vastatrix, and a subset consisting of 17 EHv33 genes was selected for a temporal gene expression analysis during infection. Five genes were significantly induced early during an incompatible interaction, indicating their potential role as pre-haustorial effectors possibly recognized by the resistant coffee genotype. Another nine genes were significantly induced after haustorium formation in the compatible interaction. Overall, we suggest that this fungus is able to selectively mount its survival strategy with effectors that depend on the host genotype involved in the infection process. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2020-06-01T13:38:06Z 2020-06-01T13:38:06Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
PORTO, B. N. et al. Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility. Plos One, San Francisco, v. 14, n. 4, 2019. DOI 10.6084/m9.figshare.7940411 http://repositorio.ufla.br/jspui/handle/1/41287 |
identifier_str_mv |
PORTO, B. N. et al. Genome sequencing and transcript analysis of Hemileia vastatrix reveal expression dynamics of candidate effectors dependent on host compatibility. Plos One, San Francisco, v. 14, n. 4, 2019. DOI 10.6084/m9.figshare.7940411 |
url |
http://repositorio.ufla.br/jspui/handle/1/41287 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
PLOS |
publisher.none.fl_str_mv |
PLOS |
dc.source.none.fl_str_mv |
Plos One reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1784550082420408320 |