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Diagnostic kit for rice blight resistance
Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6831515/ https://www.ncbi.nlm.nih.gov/pubmed/31659338 http://dx.doi.org/10.1038/s41587-019-0268-y |
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author | Eom, Joon-Seob Luo, Dangping Atienza-Grande, Genelou Yang, Jungil Ji, Chonghui Thi Luu, Van Huguet-Tapia, José C. Char, Si Nian Liu, Bo Nguyen, Hanna Schmidt, Sarah Maria Szurek, Boris Vera Cruz, Casiana White, Frank F. Oliva, Ricardo Yang, Bing Frommer, Wolf B. |
author_facet | Eom, Joon-Seob Luo, Dangping Atienza-Grande, Genelou Yang, Jungil Ji, Chonghui Thi Luu, Van Huguet-Tapia, José C. Char, Si Nian Liu, Bo Nguyen, Hanna Schmidt, Sarah Maria Szurek, Boris Vera Cruz, Casiana White, Frank F. Oliva, Ricardo Yang, Bing Frommer, Wolf B. |
author_sort | Eom, Joon-Seob |
collection | PubMed |
description | Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a diagnostic kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT–PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR–Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant ‘mega’ rice lines that will empower farmers to plant lines that are most likely to resist rice blight. |
format | Online Article Text |
id | pubmed-6831515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-68315152019-11-07 Diagnostic kit for rice blight resistance Eom, Joon-Seob Luo, Dangping Atienza-Grande, Genelou Yang, Jungil Ji, Chonghui Thi Luu, Van Huguet-Tapia, José C. Char, Si Nian Liu, Bo Nguyen, Hanna Schmidt, Sarah Maria Szurek, Boris Vera Cruz, Casiana White, Frank F. Oliva, Ricardo Yang, Bing Frommer, Wolf B. Nat Biotechnol Resource Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a diagnostic kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT–PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR–Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant ‘mega’ rice lines that will empower farmers to plant lines that are most likely to resist rice blight. Nature Publishing Group US 2019-10-28 2019 /pmc/articles/PMC6831515/ /pubmed/31659338 http://dx.doi.org/10.1038/s41587-019-0268-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Resource Eom, Joon-Seob Luo, Dangping Atienza-Grande, Genelou Yang, Jungil Ji, Chonghui Thi Luu, Van Huguet-Tapia, José C. Char, Si Nian Liu, Bo Nguyen, Hanna Schmidt, Sarah Maria Szurek, Boris Vera Cruz, Casiana White, Frank F. Oliva, Ricardo Yang, Bing Frommer, Wolf B. Diagnostic kit for rice blight resistance |
title | Diagnostic kit for rice blight resistance |
title_full | Diagnostic kit for rice blight resistance |
title_fullStr | Diagnostic kit for rice blight resistance |
title_full_unstemmed | Diagnostic kit for rice blight resistance |
title_short | Diagnostic kit for rice blight resistance |
title_sort | diagnostic kit for rice blight resistance |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6831515/ https://www.ncbi.nlm.nih.gov/pubmed/31659338 http://dx.doi.org/10.1038/s41587-019-0268-y |
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