Assessment of Rice Sheath Blight Resistance Including Associations with Plant Architecture, as Revealed by Genome-Wide Association Studies
文献类型: 外文期刊
作者: Li, Danting 1 ; Zhang, Fantao 2 ; Pinson, Shannon R. M. 3 ; Edwards, Jeremy D. 3 ; Jackson, Aaron K. 3 ; Xia, Xiuzhong 1 ; Eizenga, Georgia C. 3 ;
作者机构: 1.Guangxi Acad Agr Sci, Rice Res Inst, Guangxi Key Lab Rice Genet & Breeding, Nanning, Guangxi, Peoples R China
2.Jiangxi Normal Univ, Coll Life Sci, Nanchang, Jiangxi, Peoples R China
3.USDA, Dale Bumpers Natl Rice Res Ctr, 2890 Highway 130 East, Stuttgart, AR 72160 USA
关键词: Rice; Sheath blight disease; Genome-wide association mapping; Tillering; Rhizoctonia solani; Oryza sativa
期刊名称:RICE ( 影响因子:5.638; 五年影响因子:6.097 )
ISSN: 1939-8425
年卷期: 2022 年 15 卷 1 期
页码:
收录情况: SCI
摘要: Background Sheath blight (ShB) disease caused by Rhizoctonia solani Kuhn, is one of the most economically damaging rice (Oryza sativa L.) diseases worldwide. There are no known major resistance genes, leaving only partial resistance from small-effect QTL to deploy for cultivar improvement. Many ShB-QTL are associated with plant architectural traits detrimental to yield, including tall plants, late maturity, or open canopy from few or procumbent tillers, which confound detection of physiological resistance. Results To identify QTL for ShB resistance, 417 accessions from the Rice Diversity Panel 1 (RDP1), developed for association mapping studies, were evaluated for ShB resistance, plant height and days to heading in inoculated field plots in Arkansas, USA (AR) and Nanning, China (NC). Inoculated greenhouse-grown plants were used to evaluate ShB using a seedling-stage method to eliminate effects from height or maturity, and tiller (TN) and panicle number (PN) per plant. Potted plants were used to evaluate the RDP1 for TN and PN. Genome-wide association (GWA) mapping with over 3.4 million SNPs identified 21 targeted SNP markers associated with ShB which tagged 18 ShB-QTL not associated with undesirable plant architecture traits. Ten SNPs were associated with ShB among accessions of the Indica subspecies, ten among Japonica subspecies accessions, and one among all RDP1 accessions. Across the 18 ShB QTL, only qShB4-1 was not previously reported in biparental mapping studies and qShB9 was not reported in the GWA ShB studies. All 14 PN QTL overlapped with TN QTL, with 15 total TN QTL identified. Allele effects at the five TN QTL co-located with ShB QTL indicated that increased TN does not inevitably increase disease development; in fact, for four ShB QTL that overlapped TN QTL, the alleles increasing resistance were associated with increased TN and PN, suggesting a desirable coupling of alleles at linked genes. Conclusions Nineteen accessions identified as containing the most SNP alleles associated with ShB resistance for each subpopulation were resistant in both AR and NC field trials. Rice breeders can utilize these accessions and SNPs to develop cultivars with enhanced ShB resistance along with increased TN and PN for improved yield potential.
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