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Mapping a quantitative trait locus for resistance to bacterial grain rot in rice

BACKGROUND: Bacterial grain rot (BGR), caused by the bacterial pathogen Burkholderia glumae, is a destructive disease of rice. Because BGR tends to be highly affected by environmental conditions such as temperature and humidity, it is difficult to evaluate BGR resistance of diverse cultivars with di...

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Autores principales: Mizobuchi, Ritsuko, Sato, Hiroyuki, Fukuoka, Shuichi, Tanabata, Takanari, Tsushima, Seiya, Imbe, Tokio, Yano, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer New York 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883728/
https://www.ncbi.nlm.nih.gov/pubmed/24280270
http://dx.doi.org/10.1186/1939-8433-6-13
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author Mizobuchi, Ritsuko
Sato, Hiroyuki
Fukuoka, Shuichi
Tanabata, Takanari
Tsushima, Seiya
Imbe, Tokio
Yano, Masahiro
author_facet Mizobuchi, Ritsuko
Sato, Hiroyuki
Fukuoka, Shuichi
Tanabata, Takanari
Tsushima, Seiya
Imbe, Tokio
Yano, Masahiro
author_sort Mizobuchi, Ritsuko
collection PubMed
description BACKGROUND: Bacterial grain rot (BGR), caused by the bacterial pathogen Burkholderia glumae, is a destructive disease of rice. Because BGR tends to be highly affected by environmental conditions such as temperature and humidity, it is difficult to evaluate BGR resistance of diverse cultivars with different heading dates by using field inoculation. Molecular tagging of genes involved in BGR is an important objective for rice breeding. RESULTS: In this study, we mapped a quantitative trait locus (QTL) for BGR resistance by a modified cut-panicle inoculation method. First, we assessed the levels of BGR resistance in 84 cultivars by a standard cut-panicle inoculation technique, in which panicles are harvested and inoculated in the laboratory under controlled conditions. For the genetic analysis, we selected two cultivars: Kele, a resistant traditional lowland cultivar (indica) that originated in India, and Hitomebore, a susceptible modern lowland cultivar (temperate japonica) from Japan. Second, by comparing the susceptibility of Kele and Hitomebore spikelets before and up to 3 days after anthesis, we found a dramatic decline in susceptibility at 1 day after anthesis in Kele but not in Hitomebore. Thus, we applied a modified method by inoculating spikelets at 1 day after anthesis for further analysis. To search for QTLs associated with BGR resistance, we measured the ratio of diseased spikelets (RDS, an index reflecting both quantity and severity of infection) and the ratio of diseased spikelet area (RDSA) in 110 backcrossed inbred lines (BILs) derived from a cross between Kele and Hitomebore. One major QTL associated with both RDS and RDSA was detected on the long arm of chromosome 1. This QTL explained 25.7% and 12.1% of the total phenotypic variance in RDS and RDSA in the BILs, respectively, and the Kele allele increased BGR resistance. CONCLUSIONS: We mapped a major QTL for BGR resistance on the long arm of chromosome 1. These results clearly demonstrated that genetic analysis of BGR resistance in rice can be effectively performed and that this trait could be a target of marker-assisted selection in rice breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1939-8433-6-13) contains supplementary material, which is available to authorized users.
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spelling pubmed-48837282016-06-21 Mapping a quantitative trait locus for resistance to bacterial grain rot in rice Mizobuchi, Ritsuko Sato, Hiroyuki Fukuoka, Shuichi Tanabata, Takanari Tsushima, Seiya Imbe, Tokio Yano, Masahiro Rice (N Y) Research BACKGROUND: Bacterial grain rot (BGR), caused by the bacterial pathogen Burkholderia glumae, is a destructive disease of rice. Because BGR tends to be highly affected by environmental conditions such as temperature and humidity, it is difficult to evaluate BGR resistance of diverse cultivars with different heading dates by using field inoculation. Molecular tagging of genes involved in BGR is an important objective for rice breeding. RESULTS: In this study, we mapped a quantitative trait locus (QTL) for BGR resistance by a modified cut-panicle inoculation method. First, we assessed the levels of BGR resistance in 84 cultivars by a standard cut-panicle inoculation technique, in which panicles are harvested and inoculated in the laboratory under controlled conditions. For the genetic analysis, we selected two cultivars: Kele, a resistant traditional lowland cultivar (indica) that originated in India, and Hitomebore, a susceptible modern lowland cultivar (temperate japonica) from Japan. Second, by comparing the susceptibility of Kele and Hitomebore spikelets before and up to 3 days after anthesis, we found a dramatic decline in susceptibility at 1 day after anthesis in Kele but not in Hitomebore. Thus, we applied a modified method by inoculating spikelets at 1 day after anthesis for further analysis. To search for QTLs associated with BGR resistance, we measured the ratio of diseased spikelets (RDS, an index reflecting both quantity and severity of infection) and the ratio of diseased spikelet area (RDSA) in 110 backcrossed inbred lines (BILs) derived from a cross between Kele and Hitomebore. One major QTL associated with both RDS and RDSA was detected on the long arm of chromosome 1. This QTL explained 25.7% and 12.1% of the total phenotypic variance in RDS and RDSA in the BILs, respectively, and the Kele allele increased BGR resistance. CONCLUSIONS: We mapped a major QTL for BGR resistance on the long arm of chromosome 1. These results clearly demonstrated that genetic analysis of BGR resistance in rice can be effectively performed and that this trait could be a target of marker-assisted selection in rice breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1939-8433-6-13) contains supplementary material, which is available to authorized users. Springer New York 2013-05-21 /pmc/articles/PMC4883728/ /pubmed/24280270 http://dx.doi.org/10.1186/1939-8433-6-13 Text en © Mizobuchi et al.; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Mizobuchi, Ritsuko
Sato, Hiroyuki
Fukuoka, Shuichi
Tanabata, Takanari
Tsushima, Seiya
Imbe, Tokio
Yano, Masahiro
Mapping a quantitative trait locus for resistance to bacterial grain rot in rice
title Mapping a quantitative trait locus for resistance to bacterial grain rot in rice
title_full Mapping a quantitative trait locus for resistance to bacterial grain rot in rice
title_fullStr Mapping a quantitative trait locus for resistance to bacterial grain rot in rice
title_full_unstemmed Mapping a quantitative trait locus for resistance to bacterial grain rot in rice
title_short Mapping a quantitative trait locus for resistance to bacterial grain rot in rice
title_sort mapping a quantitative trait locus for resistance to bacterial grain rot in rice
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883728/
https://www.ncbi.nlm.nih.gov/pubmed/24280270
http://dx.doi.org/10.1186/1939-8433-6-13
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