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New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta
Asian soybean rust (ASR) is one of the most destructive diseases affecting soybeans. The causative agent of ASR, the fungus Phakopsora pachyrhizi, presents characteristics that make it difficult to study in vitro, limiting our knowledge of plant-pathogen dynamics. Therefore, this work used leaf lesi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136362/ https://www.ncbi.nlm.nih.gov/pubmed/30235396 http://dx.doi.org/10.1590/1678-4685-GMB-2017-0161 |
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author | Rincão, Michelle Pires de Carvalho, Mayra Costa da Cruz Gallo Nascimento, Leandro Costa Lopes-Caitar, Valéria S. de Carvalho, Kenia Darben, Luana M. Yokoyama, Alessandra Carazzolle, Marcelo Falsarella Abdelnoor, Ricardo Vilela Marcelino-Guimarães, Francismar Correa |
author_facet | Rincão, Michelle Pires de Carvalho, Mayra Costa da Cruz Gallo Nascimento, Leandro Costa Lopes-Caitar, Valéria S. de Carvalho, Kenia Darben, Luana M. Yokoyama, Alessandra Carazzolle, Marcelo Falsarella Abdelnoor, Ricardo Vilela Marcelino-Guimarães, Francismar Correa |
author_sort | Rincão, Michelle Pires |
collection | PubMed |
description | Asian soybean rust (ASR) is one of the most destructive diseases affecting soybeans. The causative agent of ASR, the fungus Phakopsora pachyrhizi, presents characteristics that make it difficult to study in vitro, limiting our knowledge of plant-pathogen dynamics. Therefore, this work used leaf lesion laser microdissection associated with deep sequencing to determine the pathogen transcriptome during compatible and incompatible interactions with soybean. The 36,350 generated unisequences provided an overview of the main genes and biological pathways that were active in the fungus during the infection cycle. We also identified the most expressed transcripts, including sequences similar to other fungal virulence and signaling proteins. Enriched P. pachyrhizi transcripts in the resistant (PI561356) soybean genotype were related to extracellular matrix organization and metabolic signaling pathways and, among infection structures, in amino acid metabolism and intracellular transport. Unisequences were further grouped into gene families along predicted sequences from 15 other fungi and oomycetes, including rust fungi, allowing the identification of conserved multigenic families, as well as being specific to P. pachyrhizi. The results revealed important biological processes observed in P. pachyrhizi, contributing with information related to fungal biology and, consequently, a better understanding of ASR. |
format | Online Article Text |
id | pubmed-6136362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
spelling | pubmed-61363622018-09-26 New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta Rincão, Michelle Pires de Carvalho, Mayra Costa da Cruz Gallo Nascimento, Leandro Costa Lopes-Caitar, Valéria S. de Carvalho, Kenia Darben, Luana M. Yokoyama, Alessandra Carazzolle, Marcelo Falsarella Abdelnoor, Ricardo Vilela Marcelino-Guimarães, Francismar Correa Genet Mol Biol Genetics of Microorganisms Asian soybean rust (ASR) is one of the most destructive diseases affecting soybeans. The causative agent of ASR, the fungus Phakopsora pachyrhizi, presents characteristics that make it difficult to study in vitro, limiting our knowledge of plant-pathogen dynamics. Therefore, this work used leaf lesion laser microdissection associated with deep sequencing to determine the pathogen transcriptome during compatible and incompatible interactions with soybean. The 36,350 generated unisequences provided an overview of the main genes and biological pathways that were active in the fungus during the infection cycle. We also identified the most expressed transcripts, including sequences similar to other fungal virulence and signaling proteins. Enriched P. pachyrhizi transcripts in the resistant (PI561356) soybean genotype were related to extracellular matrix organization and metabolic signaling pathways and, among infection structures, in amino acid metabolism and intracellular transport. Unisequences were further grouped into gene families along predicted sequences from 15 other fungi and oomycetes, including rust fungi, allowing the identification of conserved multigenic families, as well as being specific to P. pachyrhizi. The results revealed important biological processes observed in P. pachyrhizi, contributing with information related to fungal biology and, consequently, a better understanding of ASR. Sociedade Brasileira de Genética 2018 /pmc/articles/PMC6136362/ /pubmed/30235396 http://dx.doi.org/10.1590/1678-4685-GMB-2017-0161 Text en Copyright © 2018, Sociedade Brasileira de Genética. https://creativecommons.org/licenses/by/4.0/ License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (type CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original article is properly cited. |
spellingShingle | Genetics of Microorganisms Rincão, Michelle Pires de Carvalho, Mayra Costa da Cruz Gallo Nascimento, Leandro Costa Lopes-Caitar, Valéria S. de Carvalho, Kenia Darben, Luana M. Yokoyama, Alessandra Carazzolle, Marcelo Falsarella Abdelnoor, Ricardo Vilela Marcelino-Guimarães, Francismar Correa New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta |
title | New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta
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title_full | New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta
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title_fullStr | New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta
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title_full_unstemmed | New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta
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title_short | New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta
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title_sort | new insights into phakopsora pachyrhizi infection based on transcriptome analysis in planta |
topic | Genetics of Microorganisms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136362/ https://www.ncbi.nlm.nih.gov/pubmed/30235396 http://dx.doi.org/10.1590/1678-4685-GMB-2017-0161 |
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