ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011
Dissecting quantitative resistance against blast disease using heterogeneous inbred family lines in rice.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 25 citations in OpenAlex.
- Functional Allele Validation by Gene Editing to Leverage the Wealth of Genetic Resources for Crop Improvement.International journal of molecular sciences · 2022Review
- Accumulating candidate genes for broad-spectrum resistance to rice blast in a drought-tolerant rice cultivar.Scientific reports · 2021Article
- Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize.PloS one · 2021Article
- Prospects of Understanding the Molecular Biology of Disease Resistance in Rice.International journal of molecular sciences · 2018Review
- Variation in Host and Pathogen in theFrontiers in plant science · 2016Article
- Quantitative trait locus analysis and fine mapping of the qPL6 locus for panicle length in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015Article
- Molecular Breeding Strategy and Challenges Towards Improvement of Blast Disease Resistance in Rice Crop.Frontiers in plant science · 2015Review
- Multi-parent advanced generation inter-cross (MAGIC) populations in rice: progress and potential for genetics research and breeding.Rice (New York, N.Y.) · 2013Article
- Fine-mapping and molecular marker development for Pi56(t), a NBS-LRR gene conferring broad-spectrum resistance to Magnaporthe oryzae in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Article
- A multiple gene complex on rice chromosome 4 is involved in durable resistance to rice blast.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Article
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Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SHZ-2 is an indica rice cultivar that exhibits broad-spectrum resistance to rice blast; it is widely used as a resistance donor in breeding programs. To dissect the QTL responsible for broad-spectrum blast resistance, we crossed SHZ-2 to TXZ-13, a blast susceptible indica variety, to produce 244 BC(4)F(3) lines. These lines were evaluated for blast resistance in greenhouse and field conditions. Chromosomal introgressions from SHZ-2 into the TXZ-13 genome were identified using a single feature polymorphism microarray, SSR markers and gene-specific primers. Segregation analysis of the BC(4)F(3) population indicated that three regions on chromosomes 2, 6, and 9, designated as qBR2.1, qBR6.1, and qBR9.1, respectively, was associated with blast resistance and contributed 16.2, 14.9, and 22.3%, respectively, to the phenotypic variance of diseased leaf area (DLA). We further narrowed the three QTL regions using pairs of sister lines extracted from heterogeneous inbred families (HIF). Pairwise comparison of these lines enabled the determination of the relative contributions of individual QTL. The qBR9.1 conferred strong resistance, whereas qBR2.1 or qBR6.1 individually did not reduce disease under field conditions. However, when qBR2.1 and qBR6.1 were combined, they reduced disease by 19.5%, suggesting that small effect QTLs contribute to reduction of epidemics. The qBR6.1 and qBR9.1 regions contain nucleotide-binding sites and leucine rich repeats (NBS-LRR) sequences, whereas the qBR2.1 did not. In the qBR6.1 region, the patterns of expression of adjacent NBS-LRR genes were consistent in backcross generations and correlated with blast resistance, supporting the hypothesis that multiple resistance genes within a QTL region can contribute to non-race-specific quantitative resistance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.