Dissecting genomic regions and underlying sheath blight resistance traits in rice (Oryza sativa L.) using a genome-wide association study

被引:1
|
作者
Naveenkumar, R. [1 ,2 ,3 ]
Anandan, Annamalai [1 ,4 ]
Prabhukarthikeyan, Seenichamy Rathinam [5 ]
Mahender, Anumalla [6 ]
Sangeetha, Ganesan [7 ]
Vaish, Shyam Saran [2 ]
Singh, Pawan Kumar [2 ]
Hussain, Waseem [6 ]
Ali, Jauhar [6 ]
机构
[1] ICAR Natl Rice Res Inst NRRI, Crop Improvement Div, Cuttack 753006, Odisha, India
[2] Banaras Hindu Univ, Inst Agr Sci, Varanasi, Uttar Pradesh, India
[3] Karunya Inst Technol & Sci, Sch Agr & Biosci, Coimbatore, Tamil Nadu, India
[4] ICAR Indian Inst Seed Sci, Bangalore, Karnataka, India
[5] ICAR Natl Rice Res Inst, Crop Protect Div, Cuttack, Odisha, India
[6] Int Rice Res Inst IRRI, Rice Breeding Innovat Platform, Los Banos 4031, Laguna, Philippines
[7] ICAR Indian Inst Hort Res, Div Crop Protect, Bangalore, Karnataka, India
关键词
association mapping; disease score; molecular genetic diversity; quantitative trait loci; rice; JAPONICA RICE; POPULATION-STRUCTURE; LOCI; QTLS; IDENTIFICATION; SOFTWARE; DISEASE; GENES;
D O I
10.1002/pld3.540
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The productivity of rice is greatly affected by the infection of the plant pathogenic fungus Rhizoctonia solani, which causes a significant grain yield reduction globally. There exist a limited number of rice accessions that are available to develop sheath blight resistance (ShB). Our objective was to identify a good source of the ShB resistance, understand the heritability, and trait interactions, and identify the genomic regions for ShB resistance traits by genome-wide association studies (GWAS). In the present study, a set of 330 traditional landraces and improved rice varieties were evaluated for ShB resistance and created a core panel of 192 accessions used in the GWAS. This panel provides a more considerable amount of genetic variance and found a significant phenotypic variation among the panel of rice accessions for all the agro-morphological and disease-resistance traits over the seasons. The infection rate of ShB and disease reaction were calculated as percent disease index (PDI) and area under the disease progress curve (AUDPC). The correlation analysis showed a significant positive association between PDIs and AUPDC and a negative association between PDI and plant height, flag leaf length, and grain yield. The panel was genotyped with 133 SSR microsatellite markers, resulting in a genome coverage of 314.83 Mb, and the average distance between markers is 2.53 Mb. By employing GLM and MLM (Q + K) models, 30 marker-trait associations (MTAs) were identified with targeted traits over the seasons. Among these QTLs, eight were found to be novel and located on 2, 4, 8, 10, and 12 chromosomes, which explained the phenotypic variation ranging from 5% to 15%. With the GWAS approach, six candidate genes were identified. Os05t0566400, Os08t0155900, and Os09t0567300 were found to be associated with defense mechanisms against ShB. These findings provided insights into the novel donors of IC283139, IC 277248, Sivappuchithirai Kar, and Bowalia. The promising genomic regions on 10 of 12 chromosomes associated with ShB would be useful in developing rice varieties with durable disease resistance.
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页数:26
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