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In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach
Physiology-based differentiation of S(H) genes and Hemileia vastatrix races is the principal method employed for the characterization of coffee leaf rust resistance. Based on the gene-for-gene theory, nine major rust resistance genes (S(H)1-9) have been proposed. However, these genes have not been c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343155/ https://www.ncbi.nlm.nih.gov/pubmed/32639982 http://dx.doi.org/10.1371/journal.pone.0222747 |
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author | Barka, Geleta Dugassa Caixeta, Eveline Teixeira Ferreira, Sávio Siqueira Zambolim, Laércio |
author_facet | Barka, Geleta Dugassa Caixeta, Eveline Teixeira Ferreira, Sávio Siqueira Zambolim, Laércio |
author_sort | Barka, Geleta Dugassa |
collection | PubMed |
description | Physiology-based differentiation of S(H) genes and Hemileia vastatrix races is the principal method employed for the characterization of coffee leaf rust resistance. Based on the gene-for-gene theory, nine major rust resistance genes (S(H)1-9) have been proposed. However, these genes have not been characterized at the molecular level. Consequently, the lack of molecular data regarding rust resistance genes or candidates is a major bottleneck in coffee breeding. To address this issue, we screened a BAC library with resistance gene analogs (RGAs), identified RGAs, characterized and explored for any S(H) related candidate genes. Herein, we report the identification and characterization of a gene (gene 11), which shares conserved sequences with other S(H) genes and displays a characteristic polymorphic allele conferring different resistance phenotypes. Furthermore, comparative analysis of the two RGAs belonging to CC-NBS-LRR revealed more intense diversifying selection in tomato and grape genomes than in coffee. For the first time, the present study has unveiled novel insights into the molecular nature of the S(H) genes, thereby opening new avenues for coffee rust resistance molecular breeding. The characterized candidate RGA is of particular importance for further biological function analysis in coffee. |
format | Online Article Text |
id | pubmed-7343155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73431552020-07-17 In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach Barka, Geleta Dugassa Caixeta, Eveline Teixeira Ferreira, Sávio Siqueira Zambolim, Laércio PLoS One Research Article Physiology-based differentiation of S(H) genes and Hemileia vastatrix races is the principal method employed for the characterization of coffee leaf rust resistance. Based on the gene-for-gene theory, nine major rust resistance genes (S(H)1-9) have been proposed. However, these genes have not been characterized at the molecular level. Consequently, the lack of molecular data regarding rust resistance genes or candidates is a major bottleneck in coffee breeding. To address this issue, we screened a BAC library with resistance gene analogs (RGAs), identified RGAs, characterized and explored for any S(H) related candidate genes. Herein, we report the identification and characterization of a gene (gene 11), which shares conserved sequences with other S(H) genes and displays a characteristic polymorphic allele conferring different resistance phenotypes. Furthermore, comparative analysis of the two RGAs belonging to CC-NBS-LRR revealed more intense diversifying selection in tomato and grape genomes than in coffee. For the first time, the present study has unveiled novel insights into the molecular nature of the S(H) genes, thereby opening new avenues for coffee rust resistance molecular breeding. The characterized candidate RGA is of particular importance for further biological function analysis in coffee. Public Library of Science 2020-07-08 /pmc/articles/PMC7343155/ /pubmed/32639982 http://dx.doi.org/10.1371/journal.pone.0222747 Text en © 2020 Barka et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Barka, Geleta Dugassa Caixeta, Eveline Teixeira Ferreira, Sávio Siqueira Zambolim, Laércio In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach |
title | In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach |
title_full | In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach |
title_fullStr | In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach |
title_full_unstemmed | In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach |
title_short | In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach |
title_sort | in silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: a functional marker based approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343155/ https://www.ncbi.nlm.nih.gov/pubmed/32639982 http://dx.doi.org/10.1371/journal.pone.0222747 |
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