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.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Genome-wide association study-based identification genes influencing agronomic traits in rice (Oryza sativa L.)
    Wang, Aijun
    Jiang, Yuqi
    Shu, Xinyue
    Zha, Zhongping
    Yin, Desuo
    Liu, Yao
    Zhang, Danhua
    Xu, Deze
    Jiao, Chengzhi
    Jia, Xiaomei
    Ye, Xiaoying
    Li, Shuangcheng
    Deng, Qiming
    Wang, Shiquan
    Zhu, Jun
    Liang, Yueyang
    Zou, Ting
    Liu, Huainian
    Wang, Lingxia
    Zhu, Jianqing
    Li, Ping
    Zhang, Zaijun
    Zheng, Aiping
    GENOMICS, 2021, 113 (03) : 1396 - 1406
  • [22] Genetic dissection of ozone tolerance in rice (Oryza sativa L.) by a genome-wide association study
    Ueda, Yoshiaki
    Frimpong, Felix
    Qi, Yitao
    Matthus, Elsa
    Wu, Linbo
    Hoeller, Stefanie
    Kraska, Thorsten
    Frei, Michael
    JOURNAL OF EXPERIMENTAL BOTANY, 2015, 66 (01) : 293 - 306
  • [23] Genome-wide association study identified QTLs and genes underlying early seedling vigour in aus rice (Oryza sativa L.)
    Basha, Firos T. M.
    Sar, Puranjoy
    Bhowmick, Prolay K.
    Mahato, Anima
    Bisht, Deepak S.
    Iquebal, Mir A.
    Chakraborty, Koushik
    Banerjee, Amrita
    Verma, Bibhash C.
    Bhaduri, Debarati
    Kumar, Jitendra
    Ngangkham, Umakanta
    Saha, Soumya
    Mandal, Nimai P.
    Roy, Somnath
    MOLECULAR GENETICS AND GENOMICS, 2024, 299 (01)
  • [24] Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (Oryza Sativa L.) Using SNPs Markers
    Ashfaq, Muhammad
    Rasheed, Abdul
    Zhu, Renshan
    Ali, Muhammad
    Javed, Muhammad Arshad
    Anwar, Alia
    Tabassum, Javaria
    Shaheen, Shabnum
    Wu, Xianting
    GENES, 2023, 14 (05)
  • [25] Genome-Wide Association Analysis Identifies Resistance Loci for Bacterial Leaf Streak Resistance in Rice (Oryza sativa L.)
    Sattayachiti, Wannapa
    Wanchana, Samart
    Arikit, Siwaret
    Nubankoh, Phakchana
    Patarapuwadol, Sujin
    Vanavichit, Apichart
    Darwell, Clive T.
    Toojinda, Theerayut
    PLANTS-BASEL, 2020, 9 (12): : 1 - 16
  • [26] Genome-wide association study of eating and cooking qualities in different subpopulations of rice (Oryza sativa L.)
    Xu, Feifei
    Bao, Jinsong
    He, Qiang
    Park, Yong-Jin
    BMC GENOMICS, 2016, 17
  • [27] Genome-wide association study of cooking-caused grain expansion in rice (Oryza sativa L.)
    Zheng, Yan
    Thi, Khin Mar
    Lin, Lihui
    Xie, Xiaofang
    Khine, Ei Ei
    Nyein, Ei Ei
    Lin, Min Htay Wai
    New, Win Win
    Aye, San San
    Wu, Weiren
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [28] Genome-wide Association Study and Genomic Prediction for Fusarium graminearum Resistance Traits in Nordic Oat (Avena sativa L.)
    Haikka, Hanna
    Manninen, Outi
    Hautsalo, Juho
    Pietila, Leena
    Jalli, Marja
    Vetelainen, Merja
    AGRONOMY-BASEL, 2020, 10 (02):
  • [29] Genome-wide association study of eating and cooking qualities in different subpopulations of rice (Oryza sativa L.)
    Feifei Xu
    Jinsong Bao
    Qiang He
    Yong-Jin Park
    BMC Genomics, 17
  • [30] Genome-wide association mapping for identification of sheath blight resistance loci from wild rice Oryza rufipogon
    Sumit K. Aggarwal
    Palvi Malik
    Kumari Neelam
    Kishor Kumar
    Rupinder Kaur
    Jagjeet S. Lore
    Kuldeep Singh
    Euphytica, 2022, 218