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Yao Y, Xiang D, Wu N, Wang Y, Chen Y, Yuan Y, Ye Y, Hu D, Zheng C, Yan Y, Lv Q, Li X, Chen G, Hu H, Xiong H, Peng S, Xiong L. Control of rice ratooning ability by a nucleoredoxin that inhibits histidine kinase dimerization to attenuate cytokinin signaling in axillary buds. MOLECULAR PLANT 2023; 16:1911-1926. [PMID: 37853691 DOI: 10.1016/j.molp.2023.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 09/24/2023] [Accepted: 10/15/2023] [Indexed: 10/20/2023]
Abstract
Rice ratooning, the fast outgrowth of dormant buds on stubble, is an important cropping practice in rice production. However, the low ratooning ability (RA) of most rice varieties restricts the application of this cost-efficient system, and the genetic basis of RA remains unknown. In this study, we dissected the genetic architecture of RA by a genome-wide association study in a natural rice population. Rice ratooning ability 3 (RRA3), encoding a hitherto not characterized nucleoredoxin involved in reduction of disulfide bonds, was identified as the causal gene of a major locus controlling RA. Overexpression of RRA3 in rice significantly accelerated leaf senescence and reduced RA, whereas knockout of RRA3 significantly delayed leaf senescence and increased RA and ratoon yield. We demonstrated that RRA3 interacts with Oryza sativa histidine kinase 4 (OHK4), a cytokinin receptor, and inhibits the dimerization of OHK4 through disulfide bond reduction. This inhibition ultimately led to decreased cytokinin signaling and reduced RA. In addition, variations in the RRA3 promoter were identified to be associated with RA. Introgression of a superior haplotype with weak expression of RRA3 into the elite rice variety Guichao 2 significantly increased RA and ratoon yield by 23.8%. Collectively, this study not only uncovers an undocumented regulatory mechanism of cytokinin signaling through de-dimerization of a histidine kinase receptor-but also provides an eximious gene with promising value for ratoon rice breeding.
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Affiliation(s)
- Yilong Yao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Denghao Xiang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Nai Wu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Yao Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Yu Chen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Yang Yuan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Ying Ye
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Dan Hu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Chang Zheng
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Yu Yan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Qingya Lv
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Xiaokai Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Guoxing Chen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Honghong Hu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Haiyan Xiong
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Shaobing Peng
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Lizhong Xiong
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China.
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Manoj CA, Muralidhara B, Basavaraj PS, Honnappa M, Ajitha V, Aleena D, Ishwaryalakshmi VG, Usha G, Gireesh C, Senguttuvel P, Kemparaju KB, Rao LVS, Basavaraj K, Laha GS, Sundaram RM, Kumar RM, Rathod S, Salimath PM, Lokesha R, Diwan J, Nidagundi JM, Gowrisankar M, Anantha MS. Improvement of bacterial blight resistance of the high yielding, fine-grain, rice variety, Gangavati sona through marker-assisted backcross breeding. 3 Biotech 2023; 13:393. [PMID: 37953830 PMCID: PMC10638137 DOI: 10.1007/s13205-023-03828-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/19/2023] [Indexed: 11/14/2023] Open
Abstract
Gangavati sona (GS) is a high-yielding, fine-grain rice variety widely grown in the Tungabhadra command area in Karnataka, India; however, it is susceptible to bacterial blight (BB). Therefore, the present study was conducted to improve the GS variety for BB resistance. Three BB-resistant genes (xa5, xa13, and Xa21) were introgressed into the genetic background of susceptible cultivar GS through marker-assisted backcrossing (MABB) by using Improved samba Mahsuri (ISM), a popular, high-yielding, bacterial blight resistant rice variety as a donor parent. Foreground selection was carried out using gene-specific markers, viz., xa5FM (xa5), xa13prom (xa13), and pTA248 (Xa21), while background selection was carried out using well-distributed 64 polymorphic microsatellite markers. The true heterozygote F1 was used as the male parent for backcrossing with GS to obtain BC1F1. The process was repeated in BC1F1 generation, and a BC2F1 plant (IGS-5-11-5) possessing all three target genes along with maximum recurrent parent genome (RPG) recovery (86.7%) was selfed to obtain BC2F2s. At BC2F2, a single triple gene homozygote plant (IGS-5-11-5-33) with 92.6% RPG recovery was identified and advanced to BC2F5 by a pedigree method. At BC2F5, the seven best entries were selected, possessing all three resistance genes with high resistance levels against bacterial blight, yield level, and grain quality features equivalent to better than GS. The improved versions of GS will immensely benefit the farmers whose fields are endemic to BB.
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Affiliation(s)
- C. A. Manoj
- University of Agricultural Sciences, Raichur, India
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - B. Muralidhara
- University of Agricultural Sciences, Raichur, India
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - P. S. Basavaraj
- ICAR-Indian Institute of Rice Research, Hyderabad, India
- ICAR-National Institute of Abiotic Stress Management, Baramati, India
| | - M. Honnappa
- University of Agricultural Sciences, Raichur, India
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - V. Ajitha
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - D. Aleena
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | | | - G. Usha
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - C. Gireesh
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - P. Senguttuvel
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | | | | | - K. Basavaraj
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - G. S. Laha
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - R. M. Sundaram
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | | | | | | | - R. Lokesha
- University of Agricultural Sciences, Raichur, India
| | | | | | | | - M. S. Anantha
- ICAR-Indian Institute of Rice Research, Hyderabad, India
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Pradhan M, Bastia D, Samal KC, Dash M, Sahoo JP. Pyramiding resistance genes for bacterial leaf blight (Xanthomonas oryzae pv. Oryzae) into the popular rice variety, Pratikshya through marker assisted backcrossing. Mol Biol Rep 2023; 50:9047-9060. [PMID: 37725285 DOI: 10.1007/s11033-023-08805-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 09/07/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND Bacterial leaf blight (BLB) is one of the major biotic stress in rice cultivation. Management techniques, such as the development of BLB-resistant cultivars, are required to lessen the severity of the disease attack and yield losses. Pratikshya was selected in the present investigation as the recipient parent, as it is one of the popular high-yielding rice varieties of Odisha, India, which is having excellent grain as well as cooking quality. However, Pratikshya is highly susceptible to BLB which is prevalent in Eastern Indian region. METHODS AND RESULTS Three major BLB resistance genes xa5, xa13, and Xa21 from the donor source Swarna MAS (CR Dhan 800) were attempted to introduce into Pratikshya through a marker-assisted backcross breeding program. Those markers closely linked to the target genes were employed for foreground selection in the segregating generations till BC2F3. In each backcross generation, progenies containing all three targeted resistance genes and phenotypically more similar to the recipient parent, Pratikshya were selected and backcrossed. Screening of 1,598 plants of the BC2F2 population was conducted against BLB using Xoo inoculum and 35 resistant plants similar to Pratikshya were carried forward to the next generation. In the BC2F3 generation, 31 plants were found to possess all the three resistance genes. For background selection of plants carrying resistance genes 45 polymorphic SSR markers were employed. Evaluation of the pyramided lines at BC2F4 generation exhibited that, most pyramided lines were similar to Pratikshya in terms of morphological features and yield parameters, and some lines were superior to the recurrent parent in terms of morphological features and yield parameters. CONCLUSION The three-gene pyramided lines showed a high level of resistance to BLB infection and are anticipated to offer a significant yield advantage over the recipient parent Pratikshya. The pyramided lines can further be used for multi-location trial, so as to be released as a variety or can be used as a potential donor for BLB resistance genes.
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Affiliation(s)
- Madhuri Pradhan
- Department of Genetics and Plant Breeding, College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar, 753001, India
- Department of Agriculture and Allied Sciences, C. V. Raman Global University, Bhubaneswar, 752054, India
| | - Debendranath Bastia
- Department of Genetics and Plant Breeding, College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar, 753001, India
| | - Kailash Chandra Samal
- Department of Molecular Biology and Biotechnology, College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar, 753001, India
- College of Horticulture, Odisha University of Agriculture and Technology, Chiplima, 768025, India
| | - Manasi Dash
- Department of Genetics and Plant Breeding, College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar, 753001, India
| | - Jyoti Prakash Sahoo
- Department of Agriculture and Allied Sciences, C. V. Raman Global University, Bhubaneswar, 752054, India.
- Department of Molecular Biology and Biotechnology, College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar, 753001, India.
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Luo H, Wang Q, Dong C, Shi Z, He C, Guo Z, Shi J, Li C, Gao W, Li J. Establishment of Functional PCR-Based Markers against Bacterial Leaf Blight Disease in Rice Landraces of Yunnan Province of China. Life (Basel) 2023; 13:2101. [PMID: 37895481 PMCID: PMC10608166 DOI: 10.3390/life13102101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
Bacterial leaf blight is a devastating disease of rice worldwide. The resistant genes are routinely transferred from landraces to cultivated varieties through backcross breeding along with marker-assisted selection. In the present study, we use the gene-specific markers to screen the rice landraces in Yunnan Province of China. We collected 404 representative samples of 24 different rice landraces from Yunnan Province of China. The initial PCR-based screening suggested that the leaf blight resistance was not evenly distributed in Yunnan Province. Our results indicate that there is a complete loss of resistance for landraces based on xa5 and xa13 genes. On the other hand, landraces harboring Xa7 and Xa21 showed a high level of resistance. Using gene-specific PCR-based data, we were able to identify the resistant, susceptible and heterozygous populations across Yunnan Province. The widely used Xa21 gene alone showed a remarkable level of resistance throughout the province, indicating its potential to develop broad-spectrum resistance in rice germplasm. The key aspects of bacterial blight spread according to local sites in Yunnan Province and the resistance conferred by different landraces due to the presence of different resistance genes are discussed.
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Affiliation(s)
- Hengming Luo
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Qun Wang
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Chao Dong
- Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China;
- Yunnan Seed Laboratory, Kunming 650205, China
- Yunnan Provincial Key Lab of Agricultural Biotechnology, Kunming 650205, China
- Key Laboratory of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture and Rural Affairs, Kunming 650205, China
- Scientific Observation Station for Rice Germplasm Resources of Yunnan, Ministry of Agriculture and Rural Affairs, Kunming 650205, China
| | - Zhufeng Shi
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Chengxing He
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Zhixiang Guo
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Junyi Shi
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
| | - Chun Li
- Wenshan Plant Protection and Quarantine Station, Wenshan 663099, China; (C.L.); (W.G.)
| | - Wei Gao
- Wenshan Plant Protection and Quarantine Station, Wenshan 663099, China; (C.L.); (W.G.)
| | - Jinbin Li
- Agricultural Environment and Resource Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (H.L.); (Q.W.); (Z.S.); (C.H.); (Z.G.); (J.S.)
- Ministry of Agriculture and Rural Affairs International Joint Research Center for Agriculture, Kunming 650205, China
- Ministry of Agriculture and Rural Affairs Key Laboratory for Prevention and Control of Biological Invasions, Kunming 650205, China
- Yunnan Key Laboratory of Green Prevention and Control of Agricultural Transboundary Pests, Kunming 650205, China
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Gautam RK, Singh PK, Sakthivel K, Venkatesan K, Rao SS, Srikumar M, Vijayan J, Rakesh B, Ray S, Akhtar J, Meena BR, Langyan S, Ali S, Krishnamurthy SL. Marker-assisted enhancement of bacterial blight ( Xanthomonas oryzae pv . oryzae) resistance in a salt-tolerant rice variety for sustaining rice production of tropical islands. FRONTIERS IN PLANT SCIENCE 2023; 14:1221537. [PMID: 37818314 PMCID: PMC10561094 DOI: 10.3389/fpls.2023.1221537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/21/2023] [Indexed: 10/12/2023]
Abstract
Introduction Bacterial blight (BB) caused by Xanthomonas oryzae pv. oryzae is a major disease of rice, specially in the tropical regions of the world. Developing rice varieties with host resistance against the disease is the most effective and economical solution for managing the disease. Methods Pyramiding resistance genes (Xa4, xa5, xa13,and Xa21) in popular rice varieties using marker-assisted backcross breeding (MABB) has been demonstrated as a cost-effective and sustainable approach for establishing durable BB resistance. Here, we report our successful efforts in introgressing four resistance genes (Xa4, xa5, xa13, and Xa21) from IRBB60 to CARI Dhan 5, a popular salt-tolerant variety developed from a somaclonal variant of Pokkali rice, through functional MABB. Results and discussion Both BB and coastal salinity are among the major challenges for rice production in tropical island and coastal ecosystems. Plants with four, three, and two gene pyramids were generated, which displayed high levels of resistance to the BB pathogen at the BC3F2 stage. Under controlled salinity microplot environments, the line 131-2-175-1223 identified with the presence of three gene pyramid (Xa21+xa13+xa5) displayed notable resistance across locations and years as well as exhibited a salinity tolerance comparable to the recurrent parent, CARI Dhan 5. Among two BB gene combinations (Xa21+xa13), two lines, 17-1-69-334 and 46-3-95-659, demonstrated resistance across locations and years, as well as salt tolerance and grain production comparable to CARI Dhan 5. Besides salinity tolerance, five lines, 17-1-69-179, 46-3-95-655, 131-2-190-1197, 131-2-175-1209, and 131-2-175-1239, exhibited complete resistance to BB disease. Following multilocation testing, potential lines have been identified that can serve as a prospective candidate for producing varieties for the tropical Andaman and Nicobar Islands and other coastal locations, which are prone to BB and coastal salinity stresses.
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Affiliation(s)
- Raj Kumar Gautam
- Indian Council of Agricultural Research (ICAR)-Central Island Agricultural Research Institute, Port Blair, India
- Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Pankaj Kumar Singh
- Indian Council of Agricultural Research (ICAR)-Central Island Agricultural Research Institute, Port Blair, India
| | - Krishnan Sakthivel
- Indian Council of Agricultural Research (ICAR)-Central Island Agricultural Research Institute, Port Blair, India
- Indian Council of Agricultural Research (ICAR)-Indian Institute of Oilseeds Research, Hyderabad, India
| | - K. Venkatesan
- Indian Council of Agricultural Research (ICAR)-Central Island Agricultural Research Institute, Port Blair, India
- Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources (NBPGR), Regional Research Station, Thrissur, Kerala, India
| | - Shyam S. Rao
- Indian Council of Agricultural Research (ICAR)-Central Island Agricultural Research Institute, Port Blair, India
| | - M. Srikumar
- Indian Council of Agricultural Research (ICAR)-Central Island Agricultural Research Institute, Port Blair, India
| | - Joshitha Vijayan
- Indian Council of Agricultural Research (ICAR)-Central Island Agricultural Research Institute, Port Blair, India
- Indian Council of Agricultural Research (ICAR)-National Institute for Plant Biotechnology, New Delhi, India
| | - B. Rakesh
- Indian Council of Agricultural Research (ICAR)-Central Island Agricultural Research Institute, Port Blair, India
| | - Soham Ray
- Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Jameel Akhtar
- Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Bharat Raj Meena
- Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sapna Langyan
- Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sharik Ali
- Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - S. L. Krishnamurthy
- Indian Council of Agricultural Research (ICAR)-Central Soil Salinity Research Institute, Karnal, India
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Barik SR, Moharana A, Pandit E, Behera A, Mishra A, Mohanty SP, Mohapatra S, Sanghamitra P, Meher J, Pani DR, Bhadana VP, Datt S, Sahoo CR, Raj K R R, Pradhan SK. Transfer of Stress Resilient QTLs and Panicle Traits into the Rice Variety, Reeta through Classical and Marker-Assisted Breeding Approaches. Int J Mol Sci 2023; 24:10708. [PMID: 37445885 DOI: 10.3390/ijms241310708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 04/23/2023] [Accepted: 04/26/2023] [Indexed: 07/15/2023] Open
Abstract
Reeta is a popular late-maturing high-yielding rice variety recommended for cultivation in the eastern Indian states. The cultivar is highly sensitive to submergence stress. Phosphorus deficiency is an additional constraint for realizing high yield. The quantitative trait loci (QTLs), Sub1, for submergence and Pup1 for low phosphorus stress tolerance along with narrow-grained trait, GW5 were introgressed into the variety from the donor parent, Swarna-Sub1 through marker-assisted breeding. In addition, phenotypic selections for higher panicle weight, grain number, and spikelet fertility were performed in each segregating generation. Foreground selection detected the 3 target QTLs in 9, 8 and 7 progenies in the BC1F1, BC2F1, and BC3F1 generation, respectively. Recurrent parent's genome recovery was analyzed using 168 SSR polymorphic markers. The foreground analysis in 452 BC3F2 progenies showed five pyramided lines in homozygous condition for the target QTLs. No donor fragment drag was noticed in the Sub1 and GW5 QTLs carrier while a segmentwas observed in the Pup1 carrier chromosome. The developed lines were higher yielding, had submergence, and had low phosphorus stress-tolerance alongwith similar to the recipient parent in the studied morpho-quality traits. A promising pyramided line is released in the name of Reeta-Panidhan (CR Dhan 413) for the flood-prone areas of Odisha state.
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Affiliation(s)
| | - Arpita Moharana
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | - Elssa Pandit
- Department of Biosciences and Biotechnology, Fakir Mohan University, Balasore 756020, India
| | | | - Ankita Mishra
- ICAR-National Rice Research Institute, Cuttack 753006, India
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | | | - Shibani Mohapatra
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Environmental Science Laboratory, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar 751024, India
| | | | | | - Dipti Ranjan Pani
- ICAR-National Bureau of Plant Genetic Resources, Base Center, Cuttack 753006, India
| | - Vijai Pal Bhadana
- ICAR-Indian Institute of Agricultural Biotechnology, Ranchi 834003, India
| | - Shiv Datt
- Indian Council of Agricultural Research, Krishi Bhavan, New Delhi 110001, India
| | - Chita Ranjan Sahoo
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | - Reshmi Raj K R
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | - Sharat Kumar Pradhan
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Indian Council of Agricultural Research, Krishi Bhavan, New Delhi 110001, India
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7
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Ma X, Zhu M, Liu W, Li J, Liao Y, Liu D, Jin M, Fu C, Wang F. Bulk segregant analysis coupled with transcriptomics and metabolomics revealed key regulators of bacterial leaf blight resistance in rice. BMC PLANT BIOLOGY 2023; 23:332. [PMID: 37349684 DOI: 10.1186/s12870-023-04347-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 06/14/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Bacterial leaf blight (BLB) is a highly destructive disease, causing significant yield losses in rice (Oryza sativa). Genetic variation is contemplated as the most effective measure for inducing resistance in plants. The mutant line T1247 derived from R3550 (BLB susceptible) was highly resistant to BLB. Therefore, by utilizing this valuable source, we employed bulk segregant analysis (BSA) and transcriptome profiling to identify the genetic basis of BLB resistance in T1247. RESULTS The differential subtraction method in BSA identified a quantitative trait locus (QTL) on chromosome 11 spanning a 27-27.45 Mb region with 33 genes and 4 differentially expressed genes (DEGs). Four DEGs (P < 0.01) with three putative candidate genes, OsR498G1120557200, OsR498G1120555700, and OsR498G1120563600,0.01 in the QTL region were identified with specific regulation as a response to BLB inoculation. Moreover, transcriptome profiling identified 37 resistance analogs genes displaying differential regulation. CONCLUSIONS Our study provides a substantial addition to the available information regarding QTLs associated with BLB, and further functional verification of identified candidate genes can broaden the scope of understanding the BLB resistance mechanism in rice.
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Affiliation(s)
- Xiaozhi Ma
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Manshan Zhu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Wuge Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Jinhua Li
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Yilong Liao
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Dilin Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Mengya Jin
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
- Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Chongyun Fu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China.
- Guangdong Rice Engineering Laboratory, Guangzhou, China.
| | - Feng Wang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China.
- Guangdong Rice Engineering Laboratory, Guangzhou, China.
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8
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Kumar M, Singh RP, Jena D, Singh V, Rout D, Arsode PB, Choudhary M, Singh P, Chahar S, Samantaray S, Mukherjee AK, Mohan C, Bohra A, Das G, Balo S, Singh ON, Verma R. Marker-Assisted Improvement for Durable Bacterial Blight Resistance in Aromatic Rice Cultivar HUR 917 Popular in Eastern Parts of India. PLANTS (BASEL, SWITZERLAND) 2023; 12:1363. [PMID: 36987051 PMCID: PMC10058408 DOI: 10.3390/plants12061363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 12/10/2022] [Accepted: 12/16/2022] [Indexed: 06/19/2023]
Abstract
Bacterial blight (BB) is a devastating disease of rice in the tropics of Indian sub-continent, where the presence of Xoo races with varying levels of genetic diversity and virulence renders disease management extremely challenging. In this context, marker-assisted improvement of plant resistance has been proven as one of the most promising approaches for the development of sustainable rice cultivars. The present study demonstrates the marker-assisted introgression of the three BB resistant genes (Xa21 + xa13 + xa5) into the background of HUR 917, a popular aromatic short grain (ASG) rice cultivar in India. The performance of the resulting improved products (near isogenic lines (NILs), HR 23-5-37-83-5, HR 23-5-37-121-10, HR 23-5-37-121-14, HR 23-65-6-191-13, HR 23-65-6-237-2, HR 23-65-6-258-10 and HR 23-65-6-258-21) establishes the utility of marker-assisted selection (MAS) approach for accelerated trait introgression in rice. The MAS-bred lines carrying three introgressed genes showed broad spectrum BB resistance (lesion length, LL of 1.06 ± 1.35 cm to 4.61 ± 0.87 cm). Besides, these improved lines showed the complete product profile of recurrent parent HUR 917 along with the enhanced level of durable BB resistance. The improved introgression lines with durable BB resistance would contribute to sustainable rice production in India, particularly in the Indo-Gangetic plane that has substantial acreage under HUR 917.
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Affiliation(s)
- Manish Kumar
- Institute of Agricultural Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
| | - Ravi Pratap Singh
- Institute of Agricultural Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
| | - Debarchana Jena
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India
| | - Vineeta Singh
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India
| | - Diptibala Rout
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India
| | | | - Madhu Choudhary
- Institute of Agricultural Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
| | - Prakash Singh
- Veer Kunwar Singh College of Agriculture, Bihar Agricultural University-BAU, Sabaur, Dumraon, Buxar 802136, Bihar, India
| | - Suman Chahar
- Central State Farm, National Seeds Corporation, Sirsa Road, Hisar 125001, Haryana, India
| | | | | | - Chander Mohan
- Department of Agriculture, Cooperation and Farmers Welfare, Government of India, New Delhi 110001, Delhi, India
| | - Abhishek Bohra
- State Agricultural Biotechnology Centre (SABC) and Centre for Crop and Food Innovation (CCFI), Murdoch University, Perth, WA 6150, Australia
| | - Goutam Das
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India
| | - Sumana Balo
- Department of Soil Science and Agricultural Chemistry, Uttar Banga Krishi Vishwavidyalaya, Coochbehar 736165, West Bengal, India
| | - Onkar Nath Singh
- Birsa Agricultural University (BAU), Ranchi 834006, Jharkhand, India
| | - Ramlakhan Verma
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India
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9
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Agata A, Ashikari M, Sato Y, Kitano H, Hobo T. Designing rice panicle architecture via developmental regulatory genes. BREEDING SCIENCE 2023; 73:86-94. [PMID: 37168816 PMCID: PMC10165343 DOI: 10.1270/jsbbs.22075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/03/2022] [Indexed: 05/13/2023]
Abstract
Rice panicle architecture displays remarkable diversity in branch number, branch length, and grain arrangement; however, much remains unknown about how such diversity in patterns is generated. Although several genes related to panicle branch number and panicle length have been identified, how panicle branch number and panicle length are coordinately regulated is unclear. Here, we show that panicle length and panicle branch number are independently regulated by the genes Prl5/OsGA20ox4, Pbl6/APO1, and Gn1a/OsCKX2. We produced near-isogenic lines (NILs) in the Koshihikari genetic background harboring the elite alleles for Prl5, regulating panicle rachis length; Pbl6, regulating primary branch length; and Gn1a, regulating panicle branching in various combinations. A pyramiding line carrying Prl5, Pbl6, and Gn1a showed increased panicle length and branching without any trade-off relationship between branch length or number. We successfully produced various arrangement patterns of grains by changing the combination of alleles at these three loci. Improvement of panicle architecture raised yield without associated negative effects on yield-related traits except for panicle number. Three-dimensional (3D) analyses by X-ray computed tomography (CT) of panicles revealed that differences in panicle architecture affect grain filling. Importantly, we determined that Prl5 improves grain filling without affecting grain number.
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Affiliation(s)
- Ayumi Agata
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi 464-8601, Japan
- National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan
| | - Motoyuki Ashikari
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan
| | - Yutaka Sato
- National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan
| | - Hidemi Kitano
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan
| | - Tokunori Hobo
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan
- Corresponding author (e-mail: )
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10
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Zampieri E, Volante A, Marè C, Orasen G, Desiderio F, Biselli C, Canella M, Carmagnola L, Milazzo J, Adreit H, Tharreau D, Poncelet N, Vaccino P, Valè G. Marker-Assisted Pyramiding of Blast-Resistance Genes in a japonica Elite Rice Cultivar through Forward and Background Selection. PLANTS (BASEL, SWITZERLAND) 2023; 12:757. [PMID: 36840105 PMCID: PMC9963729 DOI: 10.3390/plants12040757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/01/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
Rice blast, caused by Pyricularia oryzae, is one of the main rice diseases worldwide. The pyramiding of blast-resistance (Pi) genes, coupled to Marker-Assisted BackCrossing (MABC), provides broad-spectrum and potentially durable resistance while limiting the donor genome in the background of an elite cultivar. In this work, MABC coupled to foreground and background selections based on KASP marker assays has been applied to introgress four Pi genes (Piz, Pib, Pita, and Pik) in a renowned japonica Italian rice variety, highly susceptible to blast. Molecular analyses on the backcross (BC) lines highlighted the presence of an additional blast-resistance gene, the Pita-linked Pita2/Ptr gene, therefore increasing the number of blast-resistance introgressed genes to five. The recurrent genome was recovered up to 95.65%. Several lines carrying four (including Pita2) Pi genes with high recovery percentage levels were also obtained. Phenotypic evaluations confirmed the effectiveness of the pyramided lines against multivirulent strains, which also had broad patterns of resistance in comparison to those expected based on the pyramided Pi genes. The developed blast-resistant japonica lines represent useful donors of multiple blast-resistance genes for future rice-breeding programs related to the japonica group.
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Affiliation(s)
- Elisa Zampieri
- Council for Agricultural Research and Economics—Research Centre for Cereal and Industrial Crops, s.s. 11 to Torino, km 2.5, 13100 Vercelli, VC, Italy
- Institute for Sustainable Plant Protection, National Research Council, Strada Delle Cacce 73, 10135 Turin, TO, Italy
| | - Andrea Volante
- Council for Agricultural Research and Economics—Research Centre for Cereal and Industrial Crops, s.s. 11 to Torino, km 2.5, 13100 Vercelli, VC, Italy
- Council for Agricultural Research and Economics—Research Centre for Vegetable and Ornamental Crops, Corso Inglesi 508, 18038 Sanremo, IM, Italy
| | - Caterina Marè
- Council for Agricultural Research and Economics—Research Centre for Genomics and Bioinformatics, Via S. Protaso 302, 29017 Fiorenzuola d’Arda, PC, Italy
| | - Gabriele Orasen
- Bertone Sementi S.P.A., Strada Cacciolo, 15030 Terruggia, AL, Italy
| | - Francesca Desiderio
- Council for Agricultural Research and Economics—Research Centre for Genomics and Bioinformatics, Via S. Protaso 302, 29017 Fiorenzuola d’Arda, PC, Italy
| | - Chiara Biselli
- Council for Agricultural Research and Economics—Viticulture and Oenology, Viale Santa Margherita 80, 52100 Arezzo, AR, Italy
| | - Marco Canella
- Council for Agricultural Research and Economics—Research Centre for Cereal and Industrial Crops, s.s. 11 to Torino, km 2.5, 13100 Vercelli, VC, Italy
| | - Lorena Carmagnola
- Council for Agricultural Research and Economics—Research Centre for Cereal and Industrial Crops, s.s. 11 to Torino, km 2.5, 13100 Vercelli, VC, Italy
| | - Joëlle Milazzo
- CIRAD, UMR PHIM TA A 120/K, Campus de Baillarguet, 34, CEDEX 5, 34398 Montpellier, France
- Plant Health Institute of Montpellier (PHIM), University of Montpellier, CIRAD, INRAE, IRD, Montpellier SupAgro, 34, 34398 Montpellier, France
| | - Henri Adreit
- CIRAD, UMR PHIM TA A 120/K, Campus de Baillarguet, 34, CEDEX 5, 34398 Montpellier, France
- Plant Health Institute of Montpellier (PHIM), University of Montpellier, CIRAD, INRAE, IRD, Montpellier SupAgro, 34, 34398 Montpellier, France
| | - Didier Tharreau
- CIRAD, UMR PHIM TA A 120/K, Campus de Baillarguet, 34, CEDEX 5, 34398 Montpellier, France
- Plant Health Institute of Montpellier (PHIM), University of Montpellier, CIRAD, INRAE, IRD, Montpellier SupAgro, 34, 34398 Montpellier, France
| | - Nicolas Poncelet
- CIRAD, UMR PHIM TA A 120/K, Campus de Baillarguet, 34, CEDEX 5, 34398 Montpellier, France
- Plant Health Institute of Montpellier (PHIM), University of Montpellier, CIRAD, INRAE, IRD, Montpellier SupAgro, 34, 34398 Montpellier, France
| | - Patrizia Vaccino
- Council for Agricultural Research and Economics—Research Centre for Cereal and Industrial Crops, s.s. 11 to Torino, km 2.5, 13100 Vercelli, VC, Italy
| | - Giampiero Valè
- Council for Agricultural Research and Economics—Research Centre for Cereal and Industrial Crops, s.s. 11 to Torino, km 2.5, 13100 Vercelli, VC, Italy
- Dipartimento per lo Sviluppo Sostenibile e la Transizione Ecologica, Università del Piemonte Orientale, Piazza San Eusebio 5, 13100 Vercelli, VC, Italy
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11
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Ullah I, Ali H, Mahmood T, Khan MN, Haris M, Shah H, Mihoub A, Jamal A, Saeed MF, Mancinelli R, Radicetti E. Pyramiding of Four Broad Spectrum Bacterial Blight Resistance Genes in Cross Breeds of Basmati Rice. PLANTS (BASEL, SWITZERLAND) 2022; 12:46. [PMID: 36616174 PMCID: PMC9824772 DOI: 10.3390/plants12010046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/14/2022] [Accepted: 12/16/2022] [Indexed: 06/17/2023]
Abstract
Pyramiding of major resistance (R) genes through marker-assisted selection (MAS) is a useful way to attain durable and broad-spectrum resistance against Xanthomonas oryzae pv. oryzae pathogen, the causal agent of bacterial blight (BB) disease in rice (Oryza sativa L.). The present study was designed to pyramid four broad spectrum BB-R genes (Xa4, xa5, xa13 and Xa21) in the background of Basmati-385, an indica rice cultivar with much sought-after qualitative and quantitative grain traits. The cultivar, however, is susceptible to BB and was therefore, crossed with IRBB59 which possesses R genes xa5, xa13 and Xa21, to attain broad and durable resistance. A total of 19 F1 plants were obtained, some of which were backcrossed with Basmati-385 and large number of BC1F1 plants were obtained. In BC1F2 generation, 31 phenotypically superior genotypes having morphological features of Basmati-385, were selected and advanced up to BC1F6 population. Sequence-tagged site (STS)-based MAS was carried out and phenotypic selection was made in each successive generation. In BC1F6 population, potentially homozygous recombinant inbred lines (RILs) from each line were selected and evaluated on the bases of STS evaluation and resistance to local Xanthomonas oryzae pv. oryzae (Xoo) isolates. Line 23 was found pyramided with all four BB-R genes i.e., Xa4, xa5, xa13 and Xa21. Five genotypes including line 8, line 16, line 21, line 27 and line 28 were identified as pyramided with three R genes, Xa4, xa5 and xa13. Pathological study showed that rice lines pyramided with quadruplet or triplet R genes showed the highest level of resistance compared to doublet or singlet R genes. Thus, line 23 with quadruplet, and lines 8, 16, 21, 27, and 28 with triplet R genes, are recommended for replicated yield and resistance trials before release as new rice varieties. Further, traditional breeding coupled with MAS, is a solid way to attain highly effective BB-resistant rice lines with no yield cost.
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Affiliation(s)
- Irfan Ullah
- Department of Biotechnology and Genetic Engineering, Hazara University Mansehra, Mansehra 21300, Pakistan
| | - Hamid Ali
- Department of Biotechnology and Genetic Engineering, Hazara University Mansehra, Mansehra 21300, Pakistan
| | - Tariq Mahmood
- Department of Agriculture, Hazara University Mansehra, Mansehra 21300, Pakistan
| | - Mudassar Nawaz Khan
- Department of Biotechnology and Genetic Engineering, Hazara University Mansehra, Mansehra 21300, Pakistan
| | - Muhammad Haris
- Department of Biotechnology and Genetic Engineering, Hazara University Mansehra, Mansehra 21300, Pakistan
| | - Hussain Shah
- Plant Sciences Division, Pakistan Agricultural Research Council Islamabad, Islamabad 45500, Pakistan
| | - Adil Mihoub
- Center for Scientific and Technical Research on Arid Regions, Biophysical Environment Station, Toug-gourt 30240, Algeria
| | - Aftab Jamal
- Department of Soil and Environmental Sciences, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar 25130, Pakistan
| | - Muhammad Farhan Saeed
- Department of Environmental Sciences, Vehari-Campus, COMSATS University Islamabad, Vehari 61100, Pakistan
| | - Roberto Mancinelli
- Department of Agricultural and Forestry Sciences (DAFNE), University of Tuscia, 01100 Viterbo, Italy
| | - Emanuele Radicetti
- Department of Chemical, Pharmaceutical and Agricultural Sciences (DOCPAS), University of Ferrara, 44121 Ferrara, Italy
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12
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Rezvi HUA, Tahjib‐Ul‐Arif M, Azim MA, Tumpa TA, Tipu MMH, Najnine F, Dawood MFA, Skalicky M, Brestič M. Rice and food security: Climate change implications and the future prospects for nutritional security. Food Energy Secur 2022. [DOI: 10.1002/fes3.430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
| | - Md. Tahjib‐Ul‐Arif
- Department of Biochemistry and Molecular Biology Bangladesh Agricultural University Mymensingh Bangladesh
| | - Md. Abdul Azim
- Biotechnology Division Bangladesh Sugarcrop Research Institute Pabna Bangladesh
| | - Toufica Ahmed Tumpa
- Department of Entomology Bangladesh Agricultural University Mymensingh Bangladesh
| | | | - Farhana Najnine
- Food Science and Engineering South China University of Technology Guangdong Guangzhou China
| | - Mona F. A. Dawood
- Botany and Microbiology Department, Faculty of Science Assiut University Assiut Egypt
| | - Milan Skalicky
- Department of Botany and Plant Physiology, Faculty of Agrobiology, Food and Natural Resources Czech University of Life Sciences Prague Prague Czech Republic
| | - Marián Brestič
- Department of Botany and Plant Physiology, Faculty of Agrobiology, Food and Natural Resources Czech University of Life Sciences Prague Prague Czech Republic
- Institute of Plant and Environmental Sciences Faculty of Agrobiology and Food Resources Slovak University of Agriculture Nitra Slovakia
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13
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Zhang A, Liu Y, Wang F, Kong D, Bi J, Zhang F, Luo X, Wang J, Liu G, Luo L, Yu X. Molecular Breeding of Water-Saving and Drought-Resistant Rice for Blast and Bacterial Blight Resistance. PLANTS (BASEL, SWITZERLAND) 2022; 11:2641. [PMID: 36235507 PMCID: PMC9573181 DOI: 10.3390/plants11192641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/02/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Rice production is often affected by biotic and abiotic stressors. The breeding of resistant cultivars is a cost-cutting and environmentally friendly strategy to maintain a sustainable high production level. An elite water-saving and drought-resistant rice (WDR), Hanhui3, is susceptible to blast and bacterial blight (BB). This study was conducted to introgress three resistance genes (Pi2, xa5, and Xa23) for blast and BB into Hanhui3, using marker-assisted selection (MAS) for the foreground selection and a whole-genome single-nucleotide polymorphism (SNP) array for the background selection. As revealed by the whole-genome SNP array, the recurrent parent genome (RPG) recovery of the improved NIL was 94.2%. The resistance levels to blast and BB of the improved NIL and its derived hybrids were higher than that of the controls. In addition, the improved NIL and its derived hybrids retained the desired agronomic traits from Hanhui3, such as yield. The improved NIL could be useful to enhance resistance against biotic stressors and produce stable grain yields in Oryza sativa subspecies indica rice breeding programs.
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Affiliation(s)
- Anning Zhang
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Yi Liu
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of life Sciences, Hubei University, Wuhan 430062, China
| | - Feiming Wang
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Deyan Kong
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Junguo Bi
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Fenyun Zhang
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Xingxing Luo
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Jiahong Wang
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Guolan Liu
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Lijun Luo
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
| | - Xinqiao Yu
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai Agrobiological Gene Center, Shanghai 201106, China
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14
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Rekha G, Abhilash Kumar V, Gokulan CG, Koushik MBVN, Laxmi Prasanna B, Kulkarni S, Aleena D, Harika G, Hajira SK, Pranathi K, Punniakoti E, Kale RR, Dilip Kumar T, Ayyappa D, Anila M, Sinha P, Manohara KK, Padmavathi G, Subba Rao LV, Laha GS, Srinivas Prasad MS, Fiyaz RA, Suneetha K, Balachandran SM, Patel HK, Sonti RV, Senguttuvel P, Sundaram RM. DRR Dhan 58, a Seedling Stage Salinity Tolerant NIL of Improved Samba Mahsuri Shows Superior Performance in Multi-location Trials. RICE (NEW YORK, N.Y.) 2022; 15:45. [PMID: 35976520 PMCID: PMC9385912 DOI: 10.1186/s12284-022-00591-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Improved Samba Mahsuri (ISM) is an elite, high-yielding, bacterial blight resistant, fine-grained rice variety with low glycaemic index. It is highly sensitive to salt stress, particularly at seedling stage, which significantly reduces its yield potential in coastal areas. A salinity tolerant QTL, Saltol, associated with seedling stage tolerance was previously mapped on chromosome 1 (10.6-11.5 Mb) from the Indian landrace, Pokkali and is effective in different genetic backgrounds. The objective of this study was to enhance salinity tolerance of ISM by incorporating the Saltol QTL through marker-assisted backcross breeding using the breeding line, FL478 (Pokkali/IR29). RESULTS Foreground selection was carried out at each generation using five Saltol-specific markers and three bacterial blight resistance genes, Xa21, xa13 and xa5. Background selection was conducted using 66 well distributed polymorphic SSR markers and at the BC3F2 generation, a single plant with maximum recurrent parent genome recovery (95.3%) was identified and advanced to the BC3F4 generation. Based on bacterial blight resistance, seedling stage salinity tolerance and resemblance to ISM, four advanced breeding lines were selected for testing in replicated experiments near Hyderabad, India. A promising near-isogenic line, DRR Dhan 58, was evaluated in multi-location trials-coastal salinity and it showed significant salinity tolerance, resistance to bacterial blight disease, high yield and excellent grain quality during the 2019 and 2020 trials. DRR Dhan 58 was 95.1% similar to ISM based on genotyping with the 90 K SNP chip. Whole genome resequencing analysis of Pokkali and FL478 which were salinity tolerant checks, ISM and DRR Dhan 58 showed a high degree of relatedness with respect to the candidate gene loci for Saltol and OsSKC1 (Shoot K+ Concentration 1). CONCLUSION DRR Dhan 58, possessing Saltol and three bacterial blight resistance genes (Xa21, xa13 and xa5) in the genetic background of the Indian mega-variety of rice, Samba Mahsuri, was developed for potential cultivation in areas prone to seedling stage salinity, as well as areas with endemic bacterial blight disease. This entry had a 24% yield advantage over the recurrent parent ISM under coastal saline conditions in multi-location trials and was recently released for commercial cultivation in India.
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Affiliation(s)
- G Rekha
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - V Abhilash Kumar
- Rallis India Limited, Seeds/Biotech R&D Division, Bangalore, India
| | - C G Gokulan
- Crop Improvement Section, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - M B V N Koushik
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | | | - Swapnil Kulkarni
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - D Aleena
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - G Harika
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - S K Hajira
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - K Pranathi
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - E Punniakoti
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - R R Kale
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - T Dilip Kumar
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - D Ayyappa
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - M Anila
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - Pragya Sinha
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - K K Manohara
- Genetics and Plant Breeding, ICAR- Central Coastal Agricultural Research Institute, Ella, Goa, India
| | - G Padmavathi
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - L V Subba Rao
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - G S Laha
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - M S Srinivas Prasad
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - R A Fiyaz
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - K Suneetha
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - S M Balachandran
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - Hitendra Kumar Patel
- Crop Improvement Section, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Ramesh V Sonti
- Crop Improvement Section, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
- Department of Biology, Indian Institute of Science Education and Research, Tirupati, India
| | - P Senguttuvel
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India
| | - R M Sundaram
- Department of Biotechnology, ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad, India.
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15
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Singh UM, Dixit S, Alam S, Yadav S, Prasanth VV, Singh AK, Venkateshwarlu C, Abbai R, Vipparla AK, Badri J, Ram T, Prasad MS, Laha GS, Singh VK, Kumar A. Marker-assisted forward breeding to develop a drought-, bacterial-leaf-blight-, and blast-resistant rice cultivar. THE PLANT GENOME 2022; 15:e20170. [PMID: 34845865 DOI: 10.1002/tpg2.20170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/19/2021] [Indexed: 06/13/2023]
Abstract
Among the different challenges related to rice (Oryza sativa L.) cultivation, drought, bacterial leaf blight (BLB), and blast are the key stresses that significantly affect grain yield (GY) in rice. To ameliorate this issue, marker-assisted forward breeding (MAFB) coupled with a simultaneous crossing approach was used to combine three drought tolerant quantitative trait loci (QTL)-qDTY1.1 , qDTY3.1 , and qDTY12.1 -four BLB genes-Xa4, xa5, xa13, and Xa21-and one blast-resistance gene, Pi9, in the elite rice cultivar Lalat. The introgression lines (ILs) developed in the current study were phenotypically screened for drought, BLB, and blast resistance at the F7 -F8 generation. Under the reproductive stage (RS) drought stress, the yield advantage of ILs, with major-effect QTL (qDTY) over elite parent Lalat, ranges from 9 to 124% in DS2019 and from 7 to 175% in WS2019. The selected ILs were highly resistant to BLB, with lesion lengths ranging from 1.3 to 3.0 cm and blast scores ranging from 1 to 3. ILs that were tolerant to RS drought, resistant to BLB, and blast disease and had similar or higher yields than Lalat were analyzed for grain quality. Six ILs were found to have similar grain quality characteristics to Lalat including hulling, milling, head rice recovery (HRR), chalkiness, alkali spreading value (ASV), and amylose content (AC). This study showed that MAFB, together with simultaneous crossing, would be an effective strategy to rapidly combine multiple stresses in rice. The ILs developed in this study could help to ensure yield sustainability in rainfed environments or be used as genetic material in future breeding programs.
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Affiliation(s)
- Uma Maheshwar Singh
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
- International Rice Research Institute, South Asia Regional Centre, Varanasi, India
| | - Shilpi Dixit
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
- International Rice Research Institute, South Asia Regional Centre, Varanasi, India
| | - Shamshad Alam
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
| | - Shailesh Yadav
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
| | | | - Arun Kumar Singh
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
| | - Challa Venkateshwarlu
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
| | - Ragavendran Abbai
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
| | - Abhilash Kumar Vipparla
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
| | - Jyothi Badri
- ICAR-Indian Institute of Rice Research, Rajendra Nagar, Hyderabad, India
| | - Tilatoo Ram
- ICAR-Indian Institute of Rice Research, Rajendra Nagar, Hyderabad, India
| | | | - Gouri Sankar Laha
- ICAR-Indian Institute of Rice Research, Rajendra Nagar, Hyderabad, India
| | - Vikas Kumar Singh
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
| | - Arvind Kumar
- International Rice Research Institute, South Asia Regional Centre, Varanasi, India
- International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad, India
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16
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Multiparent-Derived, Marker-Assisted Introgression Lines of the Elite Indian Rice Cultivar, ‘Krishna Hamsa’ Show Resistance against Bacterial Blight and Blast and Tolerance to Drought. PLANTS 2022; 11:plants11050622. [PMID: 35270092 PMCID: PMC8912774 DOI: 10.3390/plants11050622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/15/2022] [Accepted: 02/21/2022] [Indexed: 11/17/2022]
Abstract
Major biotic stresses viz., bacterial blight (BB) and blast and brown plant hopper (BPH) coupled with abiotic stresses like drought stress, significantly affect rice yields. To address this, marker-assisted intercross (IC) breeding involving multiple donors was used to combine three BB resistance genes—xa5, xa13 and Xa21, two blast resistance genes—Pi9 and Pi54, two BPH resistance genes—Bph20 and Bph21, and four drought tolerant quantitative trait loci (QTL)—qDTY1.1, qDTY2.1, qDTY3.1 and qDTY12.1—in the genetic background of the elite Indian rice cultivar ‘Krishna Hamsa’. Three cycles of selective intercrossing followed by selfing coupled with foreground selection and phenotyping for the target traits resulted in the development of 196 introgression lines (ILs) with a myriad of gene/QTL combinations. Based on the phenotypic reaction, the ILs were classified into seven phenotypic classes of resistance/tolerance to the following: (1) BB, blast and drought—5 ILs; (2) BB and blast—10 ILs; (3) BB and drought—9 ILs; (4) blast and drought—42 ILs; (5) BB—3 ILs; (6) blast—84 ILs; and (7) drought—43 ILs; none of the ILs were resistant to BPH. Positive phenotypic response (resistance) was observed to both BB and blast in 2 ILs, BB in 9 ILs and blast in 64 ILs despite the absence of corresponding R genes. Inheritance of resistance to BB and/or blast in such ILs could be due to the unknown genes from other parents used in the breeding scheme. Negative phenotypic response (susceptibility) was observed in 67 ILs possessing BB-R genes, 9 ILs with blast-R genes and 9 ILs harboring QTLs for drought tolerance. Complex genic interactions and recombination events due to the involvement of multiple donors explain susceptibility in some of the marker positive ILs. The present investigation successfully demonstrates the possibility of rapid development of multiple stress-tolerant/resistant ILs in the elite cultivar background involving multiple donors through selective intercrossing and stringent phenotyping. The 196 ILs in seven phenotypic classes with myriad of gene/QTL combinations will serve as a useful genetic resource in combining multiple biotic and abiotic stress resistance in future breeding programs.
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17
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Dasari A, Vemulapalli P, Gonuguntla R, Thota DK, Elumalai P, Muppavarapu K, Butam LP, Kulkarni SR, Sinha P, Gunukula H, Kale RR, Muralidhara AD, Shaik H, Miriyala A, Karnati P, Shaik M, Shankar LG, Madamsetty SP, Sena B, Channappa G, Siddaih AM, Lella VSR, Didla RB, Mohammad LA, Jagarlamudi VR, Avula VG, Sundaram RM. Improvement of bacterial blight resistance of the popular variety, Nellore Mahsuri (NLR34449) through marker-assisted breeding. J Genet 2022. [DOI: 10.1007/s12041-021-01340-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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18
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González Guzmán M, Cellini F, Fotopoulos V, Balestrini R, Arbona V. New approaches to improve crop tolerance to biotic and abiotic stresses. PHYSIOLOGIA PLANTARUM 2022; 174:e13547. [PMID: 34480798 PMCID: PMC9290814 DOI: 10.1111/ppl.13547] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/24/2021] [Accepted: 08/31/2021] [Indexed: 05/24/2023]
Abstract
During the last years, a great effort has been dedicated at the development and employment of diverse approaches for achieving more stress-tolerant and climate-flexible crops and sustainable yield increases to meet the food and energy demands of the future. The ongoing climate change is in fact leading to more frequent extreme events with a negative impact on food production, such as increased temperatures, drought, and soil salinization as well as invasive arthropod pests and diseases. In this review, diverse "green strategies" (e.g., chemical priming, root-associated microorganisms), and advanced technologies (e.g., genome editing, high-throughput phenotyping) are described on the basis of the most recent research evidence. Particularly, attention has been focused on the potential use in a context of sustainable and climate-smart agriculture (the so called "next agriculture generation") to improve plant tolerance and resilience to abiotic and biotic stresses. In addition, the gap between the results obtained in controlled experiments and those from application of these technologies in real field conditions (lab to field step) is also discussed.
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Affiliation(s)
- Miguel González Guzmán
- Departament de Ciències Agràries i del Medi NaturalUniversitat Jaume ICastelló de la PlanaSpain
- The OPTIMUS PRIME consortium, European Union Partnership for Research and Innovation in the Mediterranean Area (PRIMA) Program
| | - Francesco Cellini
- The OPTIMUS PRIME consortium, European Union Partnership for Research and Innovation in the Mediterranean Area (PRIMA) Program
- Agenzia Lucana di Sviluppo e di Innovazione in Agricoltura (ALSIA)MetapontoItaly
- Consiglio Nazionale delle Ricerche, Istituto per la Protezione Sostenibile delle Piante (CNR, IPSP)TorinoItaly
| | - Vasileios Fotopoulos
- The OPTIMUS PRIME consortium, European Union Partnership for Research and Innovation in the Mediterranean Area (PRIMA) Program
- Department of Agricultural Sciences, Biotechnology & Food ScienceCyprus University of TechnologyLemesosCyprus
| | - Raffaella Balestrini
- The OPTIMUS PRIME consortium, European Union Partnership for Research and Innovation in the Mediterranean Area (PRIMA) Program
- Consiglio Nazionale delle Ricerche, Istituto per la Protezione Sostenibile delle Piante (CNR, IPSP)TorinoItaly
| | - Vicent Arbona
- Departament de Ciències Agràries i del Medi NaturalUniversitat Jaume ICastelló de la PlanaSpain
- The OPTIMUS PRIME consortium, European Union Partnership for Research and Innovation in the Mediterranean Area (PRIMA) Program
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19
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Shaw RK, Shaik M, Prasad MSL, Prasad RD, Mohanrao MD, Senthilvel S. Genomic regions associated with resistance to Fusarium wilt in castor identified through linkage and association mapping approaches. Genome 2021; 65:123-136. [PMID: 34818083 DOI: 10.1139/gen-2020-0048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Fusarium wilt, caused by Fusarium oxysporum f. sp. ricini, is the most destructive disease in castor. Host plant resistance is the best strategy for the management of wilt. Identification of molecular markers linked to wilt resistance will enhance the efficiency and effectiveness of breeding for wilt resistance. In the present study, genomic regions linked to wilt resistance were mapped using a bi-parental population of 185 F6-RILs and a genetically diverse panel of 300 germplasm accessions. Quantitative trait loci (QTL) analysis performed using a linkage map consisting of 1090 SNP markers identified a major QTL on chromosome 7 with an LOD score of 18.7, which explained 44% of the phenotypic variance. The association mapping performed using genotypic data from 3465 SNP loci revealed 69 significant associations (p < 1 × 10-4) for wilt resistance. The phenotypic variance explained by the individual SNPs ranged from 0.063 to 0.210. The QTL detected in the bi-parental mapping population was not identified in the association analysis. Thus, the results of this study indicate the possibility of vast gene diversity for Fusarium wilt resistance in castor.
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Affiliation(s)
- Ranjan K Shaw
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad - 500030, India.,Department of Genetics, Osmania University, Hyderabad - 500007, India
| | - Mobeen Shaik
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad - 500030, India
| | | | - R D Prasad
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad - 500030, India
| | - Manmode Darpan Mohanrao
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad - 500030, India.,Professor Jayashankar Telangana State Agricultural University, Hyderabad - 500030, India
| | - S Senthilvel
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad - 500030, India
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20
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Xiao N, Pan C, Li Y, Wu Y, Cai Y, Lu Y, Wang R, Yu L, Shi W, Kang H, Zhu Z, Huang N, Zhang X, Chen Z, Liu J, Yang Z, Ning Y, Li A. Genomic insight into balancing high yield, good quality, and blast resistance of japonica rice. Genome Biol 2021; 22:283. [PMID: 34615543 PMCID: PMC8493723 DOI: 10.1186/s13059-021-02488-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 09/07/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Balancing the yield, quality and resistance to disease is a daunting challenge in crop breeding due to the negative relationship among these traits. Large-scale genomic landscape analysis of germplasm resources is considered to be an efficient approach to dissect the genetic basis of the complex traits. Central China is one of the main regions where the japonica rice is produced. However, dozens of high-yield rice varieties in this region still exist with low quality or susceptibility to blast disease, severely limiting their application in rice production. RESULTS Here, we re-sequence 200 japonica rice varieties grown in central China over the past 30 years and analyze the genetic structure of these cultivars using 2.4 million polymorphic SNP markers. Genome-wide association mapping and selection scans indicate that strong selection for high-yield and taste quality associated with low-amylose content may have led to the loss of resistance to the rice blast fungus Magnaporthe oryzae. By extensive bioinformatic analyses of yield components, resistance to rice blast, and taste quality, we identify several superior alleles for these traits in the population. Based on this information, we successfully introduce excellent taste quality and blast-resistant alleles into the background of two high-yield cultivars and develop two elite lines, XY99 and JXY1, with excellent taste, high yield, and broad-spectrum of blast resistance. CONCLUSIONS This is the first large-scale genomic landscape analysis of japonica rice varieties grown in central China and we demonstrate a balancing of multiple agronomic traits by genomic-based strategy.
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Affiliation(s)
- Ning Xiao
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Cunhong Pan
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Yuhong Li
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Yunyu Wu
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Yue Cai
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Yue Lu
- Key Laboratory of Plant Functional Genomics, Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009 China
| | - Ruyi Wang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Ling Yu
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Wei Shi
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Houxiang Kang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Zhaobing Zhu
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Niansheng Huang
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Xiaoxiang Zhang
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Zichun Chen
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Jianju Liu
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
| | - Zefeng Yang
- Key Laboratory of Plant Functional Genomics, Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009 China
| | - Yuese Ning
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Aihong Li
- Institute of Agricultural Sciences for Lixiahe Region in Jiangsu, Yangzhou, 225009 China
- Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing, 210095 China
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21
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Introgression of Bacterial Blight Resistance Genes in the Rice Cultivar Ciherang: Response against Xanthomonas oryzae pv. oryzae in the F 6 Generation. PLANTS 2021; 10:plants10102048. [PMID: 34685858 PMCID: PMC8540907 DOI: 10.3390/plants10102048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/25/2021] [Accepted: 09/27/2021] [Indexed: 11/24/2022]
Abstract
Bacterial blight (BB) is caused by Xanthomonas oryzae pv. oryzae and is one of the most important diseases in rice. It results in significantly reduced productivity throughout all rice-growing regions of the world. Four BB resistance genes have been reported; however, introgression of a single gene into rice has not been able to sufficiently protect rice against BB infection. Pyramiding of effective BB resistance genes (i.e., Xa genes) into background varieties is a potential approach to controlling BB infection. In this study, combinations of four BB resistance genes, Xa4, xa5, xa13, and Xa21, were pyramided into populations. The populations were derived from crossing Ciherang (a widespread Indonesian rice variety) with IRBB60 (resistance to BB). Promising recombinants from the F6 generation were identified by scoring the phenotype against three virulent bacterial strains, C5, P6, and V, which cause widespread BB infection in most rice-growing countries. Pyramiding of genes for BB resistance in 265 recombinant introgressed lines (RILs) were confirmed through marker-assisted selection (MAS) of the F5 and F6 generations using gene-specific primers. Of these 265 RILs, 11, 34 and 45 lines had four, three, or two BB resistance genes, respectively. The RILs had pyramiding of two or three resistance genes, with the Xa4 resistance gene showing broad spectrum resistance against Xoo races with higher agronomic performance compared to their donor and recipients parents. The developed BB-resistant RILs have high yield potential to be further developed for cultivation or as sources of BB resistance donor material for varietal improvement in other rice lines.
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22
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Shaw RK, Shen Y, Zhao Z, Sheng X, Wang J, Yu H, Gu H. Molecular Breeding Strategy and Challenges Towards Improvement of Downy Mildew Resistance in Cauliflower ( Brassica oleracea var. botrytis L.). FRONTIERS IN PLANT SCIENCE 2021; 12:667757. [PMID: 34354719 PMCID: PMC8329456 DOI: 10.3389/fpls.2021.667757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 05/31/2021] [Indexed: 06/13/2023]
Abstract
Cauliflower (Brassica oleracea var. botrytis L.) is one of the important, nutritious and healthy vegetable crops grown and consumed worldwide. But its production is constrained by several destructive fungal diseases and most importantly, downy mildew leading to severe yield and quality losses. For sustainable cauliflower production, developing resistant varieties/hybrids with durable resistance against broad-spectrum of pathogens is the best strategy for a long term and reliable solution. Identification of novel resistant resources, knowledge of the genetics of resistance, mapping and cloning of resistance QTLs and identification of candidate genes would facilitate molecular breeding for disease resistance in cauliflower. Advent of next-generation sequencing technologies (NGS) and publishing of draft genome sequence of cauliflower has opened the flood gate for new possibilities to develop enormous amount of genomic resources leading to mapping and cloning of resistance QTLs. In cauliflower, several molecular breeding approaches such as QTL mapping, marker-assisted backcrossing, gene pyramiding have been carried out to develop new resistant cultivars. Marker-assisted selection (MAS) would be beneficial in improving the precision in the selection of improved cultivars against multiple pathogens. This comprehensive review emphasizes the fascinating recent advances made in the application of molecular breeding approach for resistance against an important pathogen; Downy Mildew (Hyaloperonospora parasitica) affecting cauliflower and Brassica oleracea crops and highlights the QTLs identified imparting resistance against this pathogen. We have also emphasized the critical research areas as future perspectives to bridge the gap between availability of genomic resources and its utility in identifying resistance genes/QTLs to breed downy mildew resistant cultivars. Additionally, we have also discussed the challenges and the way forward to realize the full potential of molecular breeding for downy mildew resistance by integrating marker technology with conventional breeding in the post-genomics era. All this information will undoubtedly provide new insights to the researchers in formulating future breeding strategies in cauliflower to develop durable resistant cultivars against the major pathogens in general and downy mildew in particular.
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Affiliation(s)
| | | | | | | | | | | | - Honghui Gu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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23
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Kaur B, Bhatia D, Mavi GS. Eighty years of gene-for-gene relationship and its applications in identification and utilization of R genes. J Genet 2021. [DOI: 10.1007/s12041-021-01300-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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24
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Matsuoka JI, Takahashi M, Yamada T, Kono Y, Yamada N, Takahashi K, Moriwaki J, Akamatsu H. Identification of three closely linked loci conferring broad-spectrum Phytophthora sojae resistance in soybean variety Tosan-231. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2151-2165. [PMID: 33792774 DOI: 10.1007/s00122-021-03813-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 03/10/2021] [Indexed: 06/12/2023]
Abstract
KEY MESSAGE A variable genomic region containing two Harosoy-derived loci related to Rps7 and one Nemashirazu-derived locus confers broad-spectrum Phytophthora sojae resistance in Tosan-231 and is useful for developing resistant cultivars. We investigated resistance to pathotypically variable Phytophthora sojae isolates in the soybean variety Tosan-231, which has broad-spectrum resistance. Mapping analysis using descendent lines from a cross between Shuurei and Tosan-231 demonstrated that a genomic region between SSR markers BARCSOYSSR_03_0209 and BARCSOYSSR_03_0385 (termed "Region T"), confers broad-spectrum resistance in Tosan-231 and contains three closely linked resistance loci. Inoculation tests with 20 P. sojae isolates of different pathotypes and simple sequence repeat (SSR) analysis of progenitors of Tosan-231 facilitated identification and characterization of Rps genes at the three resistance loci. Two resistance genes, RpsT1 and RpsT2, were found to be derived from Harosoy carrying Rps7. This result suggested two mutually exclusive possibilities: (1) either RpsT1 or RpsT2 is Rps7, and the other is a locally functional novel gene; (2) Rps7 is not a single gene but in fact comprises RpsT1 and RpsT2. The resistance locus containing RpsT3 is derived from Nemashirazu, in which Rps genes have remained poorly defined. Moreover, we identified two genomic regions with relatively high recombination frequencies on the basis of mapping information and proposed a strategy to readily assemble useful resistance genes in or around Region T.
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Affiliation(s)
- Jun-Ichi Matsuoka
- Hokuriku Research Center, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), 1-2-1 Inada, Joetsu, Niigata, 943-0193, Japan.
| | - Mami Takahashi
- Hokuriku Research Center, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), 1-2-1 Inada, Joetsu, Niigata, 943-0193, Japan
| | - Tetsuya Yamada
- Institute of Crop Science, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
| | - Yuhi Kono
- Hokuriku Research Center, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), 1-2-1 Inada, Joetsu, Niigata, 943-0193, Japan
| | - Naohiro Yamada
- Nagano Vegetable and Ornamental Crops Experiment Station, 1066-1 Souga, Shiojiri, Nagano, 399-646, Japan
- , Nagano Agricultural Experiment Station, 492 Ogawara, Suzaka, Nagano, 382-0072, Japan
| | - Koji Takahashi
- Institute of Crop Science, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
| | - Jouji Moriwaki
- Kyushu Okinawa Agricultural Research Center, NARO, 1823-1 Miimachi, Kurume, Fukuoka, 839-8503, Japan
| | - Hajime Akamatsu
- Hokuriku Research Center, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), 1-2-1 Inada, Joetsu, Niigata, 943-0193, Japan
- Business Promotion Office, Department of Regional Strategy, Central Region Agricultural Research Center, National Agriculture and Food Research Organization (NARO), C/O Institute of Vegetable and Floriculture Science, NARO, 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
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25
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Yadav S, Sandhu N, Dixit S, Singh VK, Catolos M, Mazumder RR, Rahman MA, Kumar A. Genomics-assisted breeding for successful development of multiple-stress-tolerant, climate-smart rice for southern and southeastern Asia. THE PLANT GENOME 2021; 14:e20074. [PMID: 33438317 DOI: 10.1002/tpg2.20074] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 10/27/2020] [Accepted: 10/30/2020] [Indexed: 06/12/2023]
Abstract
Rice (Oryza sativa L.) in rainfed marginal environments is prone to multiple abiotic and biotic stresses, which can occur in combination in a single cropping season and adversely affect rice growth and yield. The present study was undertaken to develop high-yielding, climate-resilient rice that can provide tolerance to multiple biotic and abiotic stresses. An assembled first-crossing scheme was employed to transfer 15 quantitative trait loci (QTL) and genes-qDTY1.1 , qDTY2.1 , qDTY3.1 , qDTY12.1 (drought), Sub1 (submergence), Gm4 (gall midge), Pi9, Pita2 (blast), Bph3, Bph17 (brown plant hoppers), Xa4, xa5, xa13, Xa21, and Xa23 (bacterial leaf blight)-from eight different parents using genomics-assisted breeding. A funnel mating design was employed to assemble all the targeted QTL and genes into a high-yielding breeding line IR 91648-B-1-B-3-1. Gene-based linked markers were used in each generation from intercrossing to the F6 generation for tracking the presence of desirable alleles of targeted QTL and genes. Single-plant selections were performed from F2 onwards to select desirable recombinants possessing alleles of interest with suitable phenotypes. Phenotyping of 95 homozygous F6 lines carrying six to 10 QTL and genes was performed for nonstress, reproductive-stage (RS) drought, blast, bacterial leaf blight (BLB), gall midge (GM), and for grain quality parameters such as chalkiness, amylose content (AC), gelatinization temperature (GT), and head rice recovery (HRR). Finally, 56 F7 homozygous lines were found promising for multiple-location evaluation for grain yield (GY) and other traits. These multiple-stress-tolerant lines with the desired grain quality profiling can be targeted for varietal release in southern and southeastern Asia through national release systems.
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Affiliation(s)
- Shailesh Yadav
- Rice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Manila, Philippines
| | - Nitika Sandhu
- Rice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Manila, Philippines
- Punjab Agricultural University, Ludhiana, Punjab, India
| | - Shalabh Dixit
- Rice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Manila, Philippines
| | - Vikas Kumar Singh
- International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, Hyderabad, India
| | - Margaret Catolos
- Rice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Manila, Philippines
| | - Ratna Rani Mazumder
- Rice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Manila, Philippines
- Plant Breeding Division, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh
| | | | - Arvind Kumar
- Rice Breeding Platform, International Rice Research Institute, DAPO Box 7777, Manila, Philippines
- IRRI South Asia Regional Centre (ISARC), Varanasi, Uttar Pradesh, 221106, India
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Lee SB, Kim N, Jo S, Hur YJ, Lee JY, Cho JH, Lee JH, Kang JW, Song YC, Bombay M, Kim SR, Lee J, Seo YS, Ko JM, Park DS. Mapping of a Major QTL, qBK1Z, for Bakanae Disease Resistance in Rice. PLANTS 2021; 10:plants10030434. [PMID: 33668736 PMCID: PMC7996363 DOI: 10.3390/plants10030434] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 02/21/2021] [Accepted: 02/22/2021] [Indexed: 11/16/2022]
Abstract
Bakanae disease is a fungal disease of rice (Oryza sativa L.) caused by the pathogen Gibberella fujikuroi (also known as Fusarium fujikuroi). This study was carried out to identify novel quantitative trait loci (QTLs) from an indica variety Zenith. We performed a QTL mapping using 180 F2:9 recombinant inbred lines (RILs) derived from a cross between the resistant variety, Zenith, and the susceptible variety, Ilpum. A primary QTL study using the genotypes and phenotypes of the RILs indicated that the locus qBK1z conferring bakanae disease resistance from the Zenith was located in a 2.8 Mb region bordered by the two RM (Rice Microsatellite) markers, RM1331 and RM3530 on chromosome 1. The log of odds (LOD) score of qBK1z was 13.43, accounting for 30.9% of the total phenotypic variation. A finer localization of qBK1z was delimited at an approximate 730 kb interval in the physical map between Chr01_1435908 (1.43 Mbp) and RM10116 (2.16 Mbp). Introducing qBK1z or pyramiding with other previously identified QTLs could provide effective genetic control of bakanae disease in rice.
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Affiliation(s)
- Sais-Beul Lee
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - Namgyu Kim
- Department of Microbiology, Pusan National University, Pusan 46241, Korea; (N.K.); (Y.-S.S.)
| | - Sumin Jo
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - Yeon-Jae Hur
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - Ji-Youn Lee
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - Jun-Hyeon Cho
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - Jong-Hee Lee
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - Ju-Won Kang
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - You-Chun Song
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - Maurene Bombay
- International Rice Research Institute, Pili Drive, Los Baños 4031, Laguna, Philippines; (M.B.); (S.-R.K.)
| | - Sung-Ryul Kim
- International Rice Research Institute, Pili Drive, Los Baños 4031, Laguna, Philippines; (M.B.); (S.-R.K.)
| | - Jungkwan Lee
- College of Natural Resources and Life Science, Dong-A University, Pusan 49135, Korea;
| | - Young-Su Seo
- Department of Microbiology, Pusan National University, Pusan 46241, Korea; (N.K.); (Y.-S.S.)
| | - Jong-Min Ko
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
| | - Dong-Soo Park
- National Institute of Crop Science, Milyang 50424, Korea; (S.-B.L.); (S.J.); (Y.-J.H.); (J.-Y.L.); (J.-H.C.); (J.-H.L.); (J.-W.K.); (Y.-C.S.); (J.-M.K.)
- International Rice Research Institute, Pili Drive, Los Baños 4031, Laguna, Philippines; (M.B.); (S.-R.K.)
- Correspondence: ; Tel.: +82-55-530-1184
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Wei X, Qiu J, Yong K, Fan J, Zhang Q, Hua H, Liu J, Wang Q, Olsen KM, Han B, Huang X. A quantitative genomics map of rice provides genetic insights and guides breeding. Nat Genet 2021; 53:243-253. [PMID: 33526925 DOI: 10.1038/s41588-020-00769-9] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 12/11/2020] [Indexed: 02/07/2023]
Abstract
Extensive allelic variation in agronomically important genes serves as the basis of rice breeding. Here, we present a comprehensive map of rice quantitative trait nucleotides (QTNs) and inferred QTN effects based on eight genome-wide association study cohorts. Population genetic analyses revealed that domestication, local adaptation and heterosis are all associated with QTN allele frequency changes. A genome navigation system, RiceNavi, was developed for QTN pyramiding and breeding route optimization, and implemented in the improvement of a widely cultivated indica variety. This work presents an efficient platform that bridges ever-increasing genomic knowledge and diverse improvement needs in rice.
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Affiliation(s)
- Xin Wei
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jie Qiu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Kaicheng Yong
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jiongjiong Fan
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Qi Zhang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Hua Hua
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jie Liu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Qin Wang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Kenneth M Olsen
- Department of Biology, Washington University in St Louis, St Louis, MO, USA
| | - Bin Han
- National Center for Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xuehui Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China.
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28
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Thudi M, Palakurthi R, Schnable JC, Chitikineni A, Dreisigacker S, Mace E, Srivastava RK, Satyavathi CT, Odeny D, Tiwari VK, Lam HM, Hong YB, Singh VK, Li G, Xu Y, Chen X, Kaila S, Nguyen H, Sivasankar S, Jackson SA, Close TJ, Shubo W, Varshney RK. Genomic resources in plant breeding for sustainable agriculture. JOURNAL OF PLANT PHYSIOLOGY 2021; 257:153351. [PMID: 33412425 PMCID: PMC7903322 DOI: 10.1016/j.jplph.2020.153351] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 05/19/2023]
Abstract
Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. From over half a million plant species, cereals and legumes are the most important for food and nutritional security. Although systematic plant breeding has a relatively short history, conventional breeding coupled with advances in technology and crop management strategies has increased crop yields by 56 % globally between 1965-85, referred to as the Green Revolution. Nevertheless, increased demand for food, feed, fiber, and fuel necessitates the need to break existing yield barriers in many crop plants. In the first decade of the 21st century we witnessed rapid discovery, transformative technological development and declining costs of genomics technologies. In the second decade, the field turned towards making sense of the vast amount of genomic information and subsequently moved towards accurately predicting gene-to-phenotype associations and tailoring plants for climate resilience and global food security. In this review we focus on genomic resources, genome and germplasm sequencing, sequencing-based trait mapping, and genomics-assisted breeding approaches aimed at developing biotic stress resistant, abiotic stress tolerant and high nutrition varieties in six major cereals (rice, maize, wheat, barley, sorghum and pearl millet), and six major legumes (soybean, groundnut, cowpea, common bean, chickpea and pigeonpea). We further provide a perspective and way forward to use genomic breeding approaches including marker-assisted selection, marker-assisted backcrossing, haplotype based breeding and genomic prediction approaches coupled with machine learning and artificial intelligence, to speed breeding approaches. The overall goal is to accelerate genetic gains and deliver climate resilient and high nutrition crop varieties for sustainable agriculture.
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Affiliation(s)
- Mahendar Thudi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India; University of Southern Queensland, Toowoomba, Australia
| | - Ramesh Palakurthi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Annapurna Chitikineni
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Emma Mace
- Agri-Science Queensland, Department of Agriculture & Fisheries (DAF), Warwick, Australia
| | - Rakesh K Srivastava
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - C Tara Satyavathi
- Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Damaris Odeny
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | | | - Hon-Ming Lam
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region
| | - Yan Bin Hong
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Vikas K Singh
- South Asia Hub, International Rice Research Institute (IRRI), Hyderabad, India
| | - Guowei Li
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yunbi Xu
- International Maize and Wheat Improvement Center (CYMMIT), Mexico DF, Mexico; Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaoping Chen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Sanjay Kaila
- Department of Biotechnology, Ministry of Science and Technology, Government of India, India
| | - Henry Nguyen
- National Centre for Soybean Research, University of Missouri, Columbia, USA
| | - Sobhana Sivasankar
- Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna, Austria
| | | | | | - Wan Shubo
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
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Whiting RM, Torabi S, Lukens L, Eskandari M. Genomic regions associated with important seed quality traits in food-grade soybeans. BMC PLANT BIOLOGY 2020; 20:485. [PMID: 33096978 PMCID: PMC7583236 DOI: 10.1186/s12870-020-02681-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/30/2020] [Indexed: 05/26/2023]
Abstract
BACKGROUND The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations. RESULTS The RIL populations were derived from the high-protein cultivar 'AC X790P' (49% protein, dry weight basis), and two high-yielding commercial cultivars, 'S18-R6' (41% protein) and 'S23-T5' (42% protein). Fourteen large-effect QTL (R2 > 10%) were identified associated with seed protein concentration. Of these QTL, seven QTL were detected in both populations, and eight of them were co-localized with QTL associated with either seed sucrose concentration or seed weight. None of the protein-related QTL was found to be associated with seed yield in either population. Sixteen candidate genes with putative roles in protein metabolism were identified within seven of these protein-related regions: qPro_Gm02-3, qPro_Gm04-4, qPro_Gm06-1, qPro_Gm06-3, qPro_Gm06-6, qPro_Gm13-4 and qPro-Gm15-3. CONCLUSION The use of RIL populations derived from high-protein parents created an opportunity to identify four novel QTL that may have been masked by large-effect QTL segregating in populations developed from diverse parental cultivars. In total, we have identified nine protein QTL that were detected either in both populations in the current study or reported in other studies. These QTL may be useful in the curated selection of new soybean cultivars for optimized soy-based food products.
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Affiliation(s)
- Rachel M Whiting
- Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada
| | - Sepideh Torabi
- Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada
| | - Lewis Lukens
- Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada
| | - Milad Eskandari
- Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada.
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30
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Gene Pyramiding for Sustainable Crop Improvement against Biotic and Abiotic Stresses. AGRONOMY-BASEL 2020. [DOI: 10.3390/agronomy10091255] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Sustainable agricultural production is endangered by several ecological factors, such as drought, extreme temperatures, excessive salts, parasitic ailments, and insect pest infestation. These challenging environmental factors may have adverse effects on future agriculture production in many countries. In modern agriculture, conventional crop-breeding techniques alone are inadequate for achieving the increasing population’s food demand on a sustainable basis. The advancement of molecular genetics and related technologies are promising tools for the selection of new crop species. Gene pyramiding through marker-assisted selection (MAS) and other techniques have accelerated the development of durable resistant/tolerant lines with high accuracy in the shortest period of time for agricultural sustainability. Gene stacking has not been fully utilized for biotic stress resistance development and quality improvement in most of the major cultivated crops. This review emphasizes on gene pyramiding techniques that are being successfully deployed in modern agriculture for improving crop tolerance to biotic and abiotic stresses for sustainable crop improvement.
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31
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Ramalingam J, Alagarasan G, Savitha P, Lydia K, Pothiraj G, Vijayakumar E, Sudhagar R, Singh A, Vedna K, Vanniarajan C. Improved host-plant resistance to Phytophthora rot and powdery mildew in soybean (Glycine max (L.) Merr.). Sci Rep 2020; 10:13928. [PMID: 32811867 PMCID: PMC7434881 DOI: 10.1038/s41598-020-70702-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 07/10/2020] [Indexed: 11/08/2022] Open
Abstract
Soybean is an important oilseed cum vegetable crop, susceptible to various biotic stresses which is attributed to recent decline in crop productivity. The emergence of virulent biotypes/strains of different plant pathogens necessitates the development of new crop varieties with enhanced host resistance mechanisms. Pyramiding of multiple disease-resistant genes is one of the strategies employed to develop durable disease-resistant cultivars to the prevailing and emerging biotypes of pathogens. The present study, reports the successful introgression of two major R-genes, including Rps2 (Phytophthora rot resistance), Rmd-c (complete-powdery mildew resistance) and effective nodulating gene (rj2) through functional Marker-Assisted Backcross Breeding (MABB) in the genetic background of well-adapted and high yielding soybean varieties, CO 3 and JS 335. We have identified several promising introgressed lines with enhanced resistance to Phytophthora rot and powdery mildew. The improved soybean lines have exhibited medium to high level of resistance against powdery mildew and Phytophthora rot as well as displayed effective nodulation capacity. Our study has proven the generation of resistant genotypes to realize the potential of MABB for achieving host plant resistance in soybean. The improved lines developed can greatly assist the soybean breeding programs in India and other soybean growing countries for evolving disease-resistant varieties.
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Affiliation(s)
- Jegadeesan Ramalingam
- Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India.
- Department of Biotechnology, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, India.
| | - Ganesh Alagarasan
- Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Palanisamy Savitha
- Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Kelsey Lydia
- Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Govindan Pothiraj
- Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Eswaramoorthy Vijayakumar
- Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, India
| | - Rajaprakasam Sudhagar
- Centre for Plant Breeding and Genetics, Department of Pulses, Tamil Nadu Agricultural University, Coimbatore, India
| | - Amar Singh
- Department of Plant Pathology, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
| | - Kumari Vedna
- Department of Plant Breeding and Genetics, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
| | - Chockalingam Vanniarajan
- Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, India
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Summanwar A, Basu U, Rahman H, Kav NNV. Non-coding RNAs as emerging targets for crop improvement. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2020; 297:110521. [PMID: 32563460 DOI: 10.1016/j.plantsci.2020.110521] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 04/30/2020] [Accepted: 05/03/2020] [Indexed: 05/23/2023]
Abstract
Food security is affected by climate change, population growth, as well as abiotic and biotic stresses. Conventional and molecular marker assisted breeding and genetic engineering techniques have been employed extensively for improving resistance to biotic stress in crop plants. Advances in next-generation sequencing technologies have permitted the exploration and identification of parts of the genome that extend beyond the regions with protein coding potential. These non-coding regions of the genome are transcribed to generate many types of non-coding RNAs (ncRNAs). These ncRNAs are involved in the regulation of growth, development, and response to stresses at transcriptional and translational levels. ncRNAs, including long ncRNAs (lncRNAs), small RNAs and circular RNAs have been recognized as important regulators of gene expression in plants and have been suggested to play important roles in plant immunity and adaptation to abiotic and biotic stresses. In this article, we have reviewed the current state of knowledge with respect to lncRNAs and their mechanism(s) of action as well as their regulatory functions, specifically within the context of biotic stresses. Additionally, we have provided insights into how our increased knowledge about lncRNAs may be used to improve crop tolerance to these devastating biotic stresses.
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Affiliation(s)
- Aarohi Summanwar
- Department of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture/Forestry Centre, Edmonton, AB, T6G 2P5, Canada
| | - Urmila Basu
- Department of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture/Forestry Centre, Edmonton, AB, T6G 2P5, Canada
| | - Habibur Rahman
- Department of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture/Forestry Centre, Edmonton, AB, T6G 2P5, Canada.
| | - Nat N V Kav
- Department of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture/Forestry Centre, Edmonton, AB, T6G 2P5, Canada.
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Stewart-Brown BB, Vaughn JN, Carter TE, Li Z. Characterizing the impact of an exotic soybean line on elite cultivar development. PLoS One 2020; 15:e0235434. [PMID: 32649700 PMCID: PMC7351202 DOI: 10.1371/journal.pone.0235434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 06/15/2020] [Indexed: 11/18/2022] Open
Abstract
The genetic diversity of North American soybean cultivars has been largely influenced by a small number of ancestors. High yielding breeding lines that possess exotic pedigrees have been developed, but identifying beneficial exotic alleles has been difficult as a result of complex interactions of yield alleles with genetic backgrounds and environments as well as the highly quantitative nature of yield. PI 416937 has been utilized in the development of many high yielding lines that have been entered into the USDA Southern States Uniform Tests over the past ~20 years. The primary goal of this research was to identify genomic regions under breeding selection from PI 416937 and introduce a methodology for identifying and potentially utilizing beneficial diversity from lines prevalent in the ancestry of elite cultivars. Utilizing SoySNP50K Infinium BeadChips, 52 high yielding PI 416937-derived lines as well as their parents were genotyped to identify PI 416937 alleles under breeding selection. Nine genomic regions across three chromosomes and 17 genomic regions across seven chromosomes were identified where PI 416937 alleles were under positive or negative selection. Minimal significant associations between PI 416937 alleles and yield were observed in replicated yield trials of five RIL populations, highlighting the difficulty of consistently detecting yield associations.
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Affiliation(s)
- Benjamin B. Stewart-Brown
- Department of Crop and Soil Sciences, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States of America
| | - Justin N. Vaughn
- Genomics and Bioinformatics Research Unit, USDA-ARS, Athens, GA, United States of America
| | - Thomas E. Carter
- Soybean & Nitrogen Fixation Unit, USDA-ARS, Raleigh, NC, United States of America
| | - Zenglu Li
- Department of Crop and Soil Sciences, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States of America
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Jamaloddin M, Durga Rani CV, Swathi G, Anuradha C, Vanisri S, Rajan CPD, Krishnam Raju S, Bhuvaneshwari V, Jagadeeswar R, Laha GS, Prasad MS, Satyanarayana PV, Cheralu C, Rajani G, Ramprasad E, Sravanthi P, Arun Prem Kumar N, Aruna Kumari K, Yamini KN, Mahesh D, Sanjeev Rao D, Sundaram RM, Madhav MS. Marker Assisted Gene Pyramiding (MAGP) for bacterial blight and blast resistance into mega rice variety "Tellahamsa". PLoS One 2020; 15:e0234088. [PMID: 32559183 PMCID: PMC7304612 DOI: 10.1371/journal.pone.0234088] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 05/18/2020] [Indexed: 11/19/2022] Open
Abstract
Bacterial blight (BB) and fungal blast diseases are the major biotic constraints that limit rice productivity. To sustain yield improvement in rice, it is necessary to developed yield potential of the rice varieties by incorporation of biotic stress resistance genes. Tellahamsa is a well-adapted popular high yielding rice variety in Telangana state, India. However, the variety is highly susceptible to BB and blast. In this study, simultaneous stepwise transfer of genes through marker-assisted backcross breeding (MABB) strategy was used to introgress two major BB (Xa21 and xa13) and two major blast resistance genes (Pi54 and Pi1) into Tellahamsa. In each generation (from F1 to ICF3) foreground selection was done using gene-specific markers viz., pTA248 (Xa21), xa13prom (xa13), Pi54MAS (Pi54) and RM224 (Pi1). Two independent BC2F1 lines of Tellahamsa/ISM (Cross-I) and Tellahamsa/NLR145 (Cross-II) possessing 92% and 94% recurrent parent genome (RPG) respectively were intercrossed to develop ICF1—ICF3 generations. These gene pyramided lines were evaluated for key agro-morphological traits, quality, and resistance against blast at three different hotspot locations as well as BB at two locations. Two ICF3 gene pyramided lines viz., TH-625-159 and TH-625-491 possessing four genes exhibited a high level of resistance to BB and blast. In the future, these improved Tellahamsa lines could be developed as mega varieties for different agro-climatic zones and also as potential donors for different pre-breeding rice research.
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Affiliation(s)
- Md. Jamaloddin
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
- International Rice Research Institute (IRRI), Los Banos, Philippines
| | - Ch. V. Durga Rani
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
- * E-mail: (SM); (DR)
| | - G. Swathi
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | - Ch. Anuradha
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | - S. Vanisri
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | - C. P. D. Rajan
- Agricultural Research Station (ARS), ANGRAU, Nellore, India
| | - S. Krishnam Raju
- Andhra Pradesh Rice Research Institute (APRRI), ANGRAU, West Godavari, India
| | - V. Bhuvaneshwari
- Andhra Pradesh Rice Research Institute (APRRI), ANGRAU, West Godavari, India
| | - R. Jagadeeswar
- Agricultural Research Institute (ARI), PJTSAU, Hyderabad, India
| | - G. S. Laha
- Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
| | - M. S. Prasad
- Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
| | - P. V. Satyanarayana
- Andhra Pradesh Rice Research Institute (APRRI), ANGRAU, West Godavari, India
| | - C. Cheralu
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | - G. Rajani
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | - E. Ramprasad
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | - P. Sravanthi
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | | | | | - K. N. Yamini
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | - D. Mahesh
- Institute of Biotechnology (IBT), PJTSAU, Hyderabad, India
| | - D. Sanjeev Rao
- Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
| | - R. M. Sundaram
- Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
| | - M. Sheshu Madhav
- Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
- * E-mail: (SM); (DR)
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Dixit S, Singh UM, Singh AK, Alam S, Venkateshwarlu C, Nachimuthu VV, Yadav S, Abbai R, Selvaraj R, Devi MN, Ramayya PJ, Badri J, Ram T, Lakshmi J, Lakshmidevi G, Lrk JV, Padmakumari AP, Laha GS, Prasad MS, Seetalam M, Singh VK, Kumar A. Marker Assisted Forward Breeding to Combine Multiple Biotic-Abiotic Stress Resistance/Tolerance in Rice. RICE (NEW YORK, N.Y.) 2020; 13:29. [PMID: 32472217 PMCID: PMC7260318 DOI: 10.1186/s12284-020-00391-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 05/12/2020] [Indexed: 05/08/2023]
Abstract
BACKGROUND Unfavorable climatic changes have led to an increased threat of several biotic and abiotic stresses over the past few years. Looking at the massive damage caused by these stresses, we undertook a study to develop high yielding climate-resilient rice, using genes conferring resistance against blast (Pi9), bacterial leaf blight (BLB) (Xa4, xa5, xa13, Xa21), brown planthopper (BPH) (Bph3, Bph17), gall midge (GM) (Gm4, Gm8) and QTLs for drought tolerance (qDTY1.1 and qDTY3.1) through marker-assisted forward breeding (MAFB) approach. RESULT Seven introgression lines (ILs) possessing a combination of seven to ten genes/QTLs for different biotic and abiotic stresses have been developed using marker-assisted selection (MAS) breeding method in the background of Swarna with drought QTLs. These ILs were superior to the respective recurrent parent in agronomic performance and also possess preferred grain quality with intermediate to high amylose content (AC) (23-26%). Out of these, three ILs viz., IL1 (Pi9+ Xa4+ xa5+ Xa21+ Bph17+ Gm8+ qDTY1.1+ qDTY3.1), IL6 (Pi9+ Xa4+ xa5+ Xa21+ Bph3+ Bph17+ Gm4+ Gm8+ qDTY1.1+ qDTY3.1) and IL7 (Pi9+ Xa4+ xa5+ Bph3+ Gm4+ qDTY1.1+ qDTY3.1) had shown resistance\tolerance for multiple biotic and abiotic stresses both in the field and glasshouse conditions. Overall, the ILs were high yielding under various stresses and importantly they also performed well in non-stress conditions without any yield penalty. CONCLUSION The current study clearly illustrated the success of MAS in combining tolerance to multiple biotic and abiotic stresses while maintaining higher yield potential and preferred grain quality. Developed ILs with seven to ten genes in the current study showed superiority to recurrent parent Swarna+drought for multiple-biotic stresses (blast, BLB, BPH and GM) together with yield advantages of 1.0 t ha- 1 under drought condition, without adverse effect on grain quality traits under non-stress.
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Affiliation(s)
- Shilpi Dixit
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
| | - Uma Maheshwar Singh
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
- International Rice Research Institute, South Asia Regional Centre (ISARC), Varanasi, 221006, India
| | - Arun Kumar Singh
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
| | - Shamshad Alam
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
| | - Challa Venkateshwarlu
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
| | | | - Shailesh Yadav
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
| | - Ragavendran Abbai
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | - Ramchander Selvaraj
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
| | - M Nagamallika Devi
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
| | | | - Jyothi Badri
- ICAR-Indian Institute of Rice Research (IIRR), Rajendranagar, Hyderabad, India
| | - T Ram
- ICAR-Indian Institute of Rice Research (IIRR), Rajendranagar, Hyderabad, India
| | - Jhansi Lakshmi
- ICAR-Indian Institute of Rice Research (IIRR), Rajendranagar, Hyderabad, India
| | - G Lakshmidevi
- ICAR-Indian Institute of Rice Research (IIRR), Rajendranagar, Hyderabad, India
| | - Jai Vidhya Lrk
- ICAR-Indian Institute of Rice Research (IIRR), Rajendranagar, Hyderabad, India
| | | | - G S Laha
- ICAR-Indian Institute of Rice Research (IIRR), Rajendranagar, Hyderabad, India
| | - M S Prasad
- ICAR-Indian Institute of Rice Research (IIRR), Rajendranagar, Hyderabad, India
| | - Malathi Seetalam
- Professor Jayashankar Telangana State Agricultural University (PJTSAU), RARS, Warangal, India
| | - Vikas Kumar Singh
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India
| | - Arvind Kumar
- International Rice Research Institute (IRRI), South-Asia Hub, ICRISAT, Hyderabad, India.
- International Rice Research Institute, South Asia Regional Centre (ISARC), Varanasi, 221006, India.
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Angeles-Shim RB, Shim J, Vinarao RB, Lapis RS, Singleton JJ. A novel locus from the wild allotetraploid rice species Oryza latifolia Desv. confers bacterial blight (Xanthomonas oryzae pv. oryzae) resistance in rice (O. sativa). PLoS One 2020; 15:e0229155. [PMID: 32084193 PMCID: PMC7034821 DOI: 10.1371/journal.pone.0229155] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 01/30/2020] [Indexed: 11/19/2022] Open
Abstract
Bacterial blight caused by Xanthomonas oryzae pv. oryzae (Xoo) is a major limiting factor to rice productivity worldwide. Genetic control through the identification of novel sources of bacterial blight resistance and their utilization in resistance breeding remains the most effective and economical strategy to manage the disease. Here we report the identification of a novel locus from the wild Oryza species, Oryza latifolia, conferring a race-specific resistance to Philippine Xoo race 9A (PXO339). The locus was identified from two introgression lines i.e. WH12-2252 and WH12-2256 that segregated from O. latifolia monosomic alien addition lines (MAALs). The discrete segregation ratio of susceptible and resistant phenotypes in the F2 (χ2[3:1] = 0.22 at p>0.05) and F3 (χ2[3:1] = 0.36 at p>0.05) populations indicates that PXO339 resistance in the MAAL-derived introgression lines (MDILs) is controlled by a single, recessive gene. Genotyping of a total of 216 F2, 1130 F3 and 288 F4 plants derived from crossing either of the MDILs with the recurrent parent used to generate the MAALs narrowed the candidate region to a 1,817 kb locus that extends from 10,425 to 12,266 kb in chromosome 12. Putative candidate genes that were identified by data mining and comparative sequence analysis can provide targets for further studies on mapping and cloning of the causal gene for PXO339 resistance in the MDILs. To our knowledge, this is the first report of a genetic locus from the allotetraploid wild rice, O. latifolia conferring race-specific resistance to bacterial blight.
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Affiliation(s)
| | - Junghyun Shim
- Plant Breeding Division, International Rice Research Institute, Manila, Philippines
| | - Ricky B. Vinarao
- Plant Breeding Division, International Rice Research Institute, Manila, Philippines
| | - Ruby S. Lapis
- Plant Breeding Division, International Rice Research Institute, Manila, Philippines
| | - Joshua J. Singleton
- Plant Breeding Division, International Rice Research Institute, Manila, Philippines
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Pyramiding Bacterial Blight Resistance Genes in Tainung82 for Broad-Spectrum Resistance Using Marker-Assisted Selection. Int J Mol Sci 2020; 21:ijms21041281. [PMID: 32074964 PMCID: PMC7072918 DOI: 10.3390/ijms21041281] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 02/12/2020] [Accepted: 02/12/2020] [Indexed: 12/22/2022] Open
Abstract
Tainung82 (TNG82) is one of the most popular japonica varieties in Taiwan due to its relatively high yield and grain quality, however, TNG82 is susceptible to bacterial blight (BB) disease. The most economical and eco-friendly way to control BB disease in japonica is through the utilization of varieties that are resistant to the disease. In order to improve TNG82’s resistance to BB disease, five bacterial blight resistance genes (Xa4, xa5, Xa7, xa13 and Xa21) were derived from a donor parent, IRBB66 and transferred into TNG82 via marker-assisted backcrossing breeding. Five BB-resistant gene-linked markers were integrated into the backcross breeding program in order to identify individuals possessing the five identified BB-resistant genes (Xa4, xa5, Xa7, xa13 and Xa21). The polymorphic markers between the donor and recurrent parent were used for background selection. Plants having maximum contribution from the recurrent parent genome were selected in each generation and crossed with the recipient parent. Selected BC3F1 plants were selfed in order to generate homozygous BC3F2 plants. Nine pyramided plants, possessing all five BB-resistant genes, were obtained. These individuals displayed a high level of resistance against the BB strain, XF89-b. Different BB gene pyramiding lines were also inoculated against the BB pathogen, resulting in more than three gene pyramided lines that exhibited high levels of resistance. The five identified BB gene pyramided lines exhibited yield levels and other desirable agronomic traits, including grain quality and palatability, consistent with TNG82. Bacterial blight-resistant lines possessing the five identified BB genes exhibited not only higher levels of resistance to the disease, but also greater yield levels and grain quality. Pyramiding multiple genes with potential characteristics into a single genotype through marker-assisted selection can improve the efficiency of generating new crop varieties exhibiting disease resistance, as well as other desirable traits.
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Kumar A, Kumar R, Sengupta D, Das SN, Pandey MK, Bohra A, Sharma NK, Sinha P, Sk H, Ghazi IA, Laha GS, Sundaram RM. Deployment of Genetic and Genomic Tools Toward Gaining a Better Understanding of Rice- Xanthomonas oryzae pv. oryzae Interactions for Development of Durable Bacterial Blight Resistant Rice. FRONTIERS IN PLANT SCIENCE 2020; 11:1152. [PMID: 32849710 PMCID: PMC7417518 DOI: 10.3389/fpls.2020.01152] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 07/15/2020] [Indexed: 05/05/2023]
Abstract
Rice is the most important food crop worldwide and sustainable rice production is important for ensuring global food security. Biotic stresses limit rice production significantly and among them, bacterial blight (BB) disease caused by Xanthomonas oryzae pv. oryzae (Xoo) is very important. BB reduces rice yields severely in the highly productive irrigated and rainfed lowland ecosystems and in recent years; the disease is spreading fast to other rice growing ecosystems as well. Being a vascular pathogen, Xoo interferes with a range of physiological and biochemical exchange processes in rice. The response of rice to Xoo involves specific interactions between resistance (R) genes of rice and avirulence (Avr) genes of Xoo, covering most of the resistance genes except the recessive ones. The genetic basis of resistance to BB in rice has been studied intensively, and at least 44 genes conferring resistance to BB have been identified, and many resistant rice cultivars and hybrids have been developed and released worldwide. However, the existence and emergence of new virulent isolates of Xoo in the realm of a rapidly changing climate necessitates identification of novel broad-spectrum resistance genes and intensification of gene-deployment strategies. This review discusses about the origin and occurrence of BB in rice, interactions between Xoo and rice, the important roles of resistance genes in plant's defense response, the contribution of rice resistance genes toward development of disease resistance varieties, identification and characterization of novel, and broad-spectrum BB resistance genes from wild species of Oryza and also presents a perspective on potential strategies to achieve the goal of sustainable disease management.
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Affiliation(s)
- Anirudh Kumar
- Department of Botany, Indira Gandhi National Tribal University (IGNTU), Amarkantak, India
- *Correspondence: Raman Meenakshi Sundaram, ; Anirudh Kumar,
| | - Rakesh Kumar
- Department of Life Science, Central University of Karnataka, Kalaburagi, India
| | - Debashree Sengupta
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad (UoH), Hyderabad, India
| | - Subha Narayan Das
- Department of Botany, Indira Gandhi National Tribal University (IGNTU), Amarkantak, India
| | - Manish K. Pandey
- Department of Biotechnology, ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, India
| | - Abhishek Bohra
- ICAR-Crop Improvement Division, Indian Institute of Pulses Research (IIPR), Kanpur, India
| | - Naveen K. Sharma
- Department of Botany, Indira Gandhi National Tribal University (IGNTU), Amarkantak, India
| | - Pragya Sinha
- Department of Biotechnology, ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, India
| | - Hajira Sk
- Department of Biotechnology, ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, India
| | - Irfan Ahmad Ghazi
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad (UoH), Hyderabad, India
| | - Gouri Sankar Laha
- Department of Biotechnology, ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, India
| | - Raman Meenakshi Sundaram
- Department of Biotechnology, ICAR-Indian Institute of Rice Research (IIRR), Hyderabad, India
- *Correspondence: Raman Meenakshi Sundaram, ; Anirudh Kumar,
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Qi L, Ma G. Marker-Assisted Gene Pyramiding and the Reliability of Using SNP Markers Located in the Recombination Suppressed Regions of Sunflower ( Helianthus annuus L.). Genes (Basel) 2019; 11:genes11010010. [PMID: 31861950 PMCID: PMC7016752 DOI: 10.3390/genes11010010] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 12/10/2019] [Accepted: 12/17/2019] [Indexed: 11/18/2022] Open
Abstract
Rust caused by the fungus Puccinia helianthi and downy mildew (DM) caused by the obligate pathogen Plasmopara halstedii are two of the most globally important sunflower diseases. Resistance to rust and DM is controlled by race-specific single dominant genes. The present study aimed at pyramiding rust resistance genes combined with a DM resistance gene, using molecular markers. Four rust resistant lines, HA-R3 (carrying the R4 gene), HA-R2 (R5), HA-R8 (R15), and RHA 397 (R13b), were each crossed with a common line, RHA 464, carrying a rust gene R12 and a DM gene PlArg. An additional cross was made between HA-R8 and RHA 397. Co-dominant simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers linked to the target genes were used to discriminate between homozygotes and heterozygotes in F2 populations. Five pyramids with different combinations of rust resistance genes were selected in the homozygous condition through marker-assisted selection, and three of them were combined with a DM resistance gene PlArg: R4/R12/PlArg, R5/R12/PlArg, R13b/R12/PlArg, R15/R12, and R13b/R15. The pyramiding lines with the stacking of two rust and one DM genes were resistant to all known races of North American sunflower rust and all known races of the pathogen causing DM, potentially providing multiple and durable resistance to both rust and DM. A cluster of 12 SNP markers spanning a region of 34.5 Mb on chromosome 1, which co-segregate with PlArg, were tested in four populations. Use of those markers, located in a recombination suppressed region in marker selection, is discussed.
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Affiliation(s)
- Lili Qi
- USDA-Agricultural Research Service, Edward T. Schafer Agricultural Research Center, 1616 Albrecht Blvd. N, Fargo, ND 58102-2765, USA
- Correspondence: ; Tel.: +1-701-239-1351
| | - Guojia Ma
- Department of Plant Sciences, North Dakota State University, Fargo, ND 58108, USA;
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40
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Chen X, Wei S, Yan Q, Huang F, Ma Z, Li R, Cen Z, Yan W, Li K. Virulence and DNA fingerprinting analysis of Xanthomonas oryzae pv. oryzae identify a new pathotype in Guangxi, South China. J Basic Microbiol 2019; 59:1082-1091. [PMID: 31544274 DOI: 10.1002/jobm.201900354] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 08/02/2019] [Accepted: 08/25/2019] [Indexed: 12/15/2022]
Abstract
Bacterial blight caused by Xanthomonas oryzae pv. oryzae (Xoo) is one of the most destructive diseases affecting rice worldwide. However, little is known about the population structure of this organism in Guangxi Zhuang Autonomous Region, South China. Here, pathotypic and DNA fingerprint analyses were conducted to characterize the isolates of Xoo collected from rice leaves in five districts of the region from 2013 to 2016. Their pathogenicity was tested by leaf clipping, and the DNA fingerprints were analyzed by repetitive sequence-based polymerase chain reaction and endogenous insertion sequence element-based polymerase chain reaction assays using the repetitive extragenic palindromic sequence and enterobacterial repetitive intergenic consensus primers, respectively. Pathogenicity assays of 70 representative isolates were conducted using a series of near-isogenic lines and two new pathotypes were identified. All the pathotypes were found to be incompatible with xa5 and Xa7. One pathotype was virulent to Xa14, Xa21, and Xa23, whereas another virulent to Xa21 and Xa23, but incompatible with Xa14. A dendrogram generated for the data sets obtained from DNA fingerprinting suggested the prevalence of high genetic diversity of Xoo throughout Guangxi, and no association between the molecular haplotypes and pathotypes was identified.
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Affiliation(s)
- Xiaolin Chen
- Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
| | - Shanfu Wei
- Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
| | - Qun Yan
- Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
| | - Fengkuan Huang
- Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
| | - Zengfeng Ma
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
| | - Ruifang Li
- Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
| | - Zhenlu Cen
- Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
| | - Weihong Yan
- Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
| | - Kunhua Li
- Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China
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Development of flash-flood tolerant and durable bacterial blight resistant versions of mega rice variety 'Swarna' through marker-assisted backcross breeding. Sci Rep 2019; 9:12810. [PMID: 31488854 PMCID: PMC6728354 DOI: 10.1038/s41598-019-49176-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 08/19/2019] [Indexed: 01/28/2023] Open
Abstract
Bacterial blight (BB) disease and submergence due to flash flood are the two major constraints for achieving higher yield from rainfed lowland rice. Marker-assisted backcross breeding was followed to develop submergence tolerant and durable BB resistant variety in the background of popular cultivar ‘Swarna’. Four BB resistance genes viz., Xa4, xa5, xa13, Xa21 and Sub1 QTL for submergence tolerance were incorporated into the mega variety. Foreground selection for the five target genes was performed using closely linked markers and tracked in each backcross generations. Background selection in plants carrying the target genes was performed by using 100 simple sequence repeat markers. Amongst backcross derivatives, the plant carrying five target genes and maximum recurrent parent genome content was selected in each generation and hybridized with recipient parent. Eighteen BC3F2 plants were obtained by selfing the selected BC3F1 line. Amongst the pyramided lines, 3 lines were homozygous for all the target genes. Bioassay of the 18 pyramided lines containing BB resistance genes was conducted against different Xoo strains conferred very high levels of resistance to the predominant isolates. The pyramided lines also exhibited submergence tolerance for 14 days. The pyramided lines were similar to the recurrent parent in 14 morpho-quality traits.
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42
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Evaluating stripe rust resistance in Indian wheat genotypes and breeding lines using molecular markers. C R Biol 2019; 342:154-174. [PMID: 31239197 DOI: 10.1016/j.crvi.2019.04.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Revised: 04/01/2019] [Accepted: 04/02/2019] [Indexed: 11/21/2022]
Abstract
Stripe rust (yellow rust), caused by Puccinia striiformis f. sp. tritici (Pst), is a serious disease of wheat worldwide, including India. Growing resistant cultivars is the most cost-effective and eco-friendly approach to manage the disease. In this study, 70 publically available molecular markers were used to identify the distribution of 35 Yr genes in 68 wheat genotypes. Out of 35 Yr genes, 25 genes amplified the loci associated with Yr genes. Of the 35, 18 were all-stage resistance ASR (All-stage resistance) genes and 7 (Yr16, Yr18, Yr29, Yr30, Yr36, Yr46 &Yr59) were APR (Adult-plant resistance) genes. In the field tests, evaluation for stripe rust was carried out under artificial inoculation of Pst. Fifty-three wheat genotypes were found resistant to yellow rust (ITs 0), accounting for 77.94% of total entries. Coefficients of infection ranged from 0 to 60 among all wheat genotypes. Two genotypes (VL 1099 & VL 3002) were identified with maximum 15 Yr genes followed by 14 genes in VL 3010 and HI8759, respectively. Maximum number of all-stage resistance genes were identified in RKD 292 (11) followed by ten genes in DBW 216, WH 1184 and VL 3002. Maximum number of adult-plant resistance gene was identified in VL 3009 (6), HI 8759 (5) and Lassik (4) respectively. Genes Yr26 (69.2%), Yr2 (69.1%), Yr64 (61.7%), Yr24 (58.9%), Yr7 (52.9%), Yr10 (50%) and Yr 48 (48.5%) showed high frequency among selected wheat genotypes, while Yr9 (2.94%), Yr36 (2.94%), Yr60 (1.47%) and Yr32 (8.8%) were least frequent in wheat genotypes. In future breeding programs, race specific genes and non-race specific genes should be utilised to pyramid with other effective genes to develop improved wheat cultivars with high-level and durable resistance to stripe rust. Proper deployment of Yr genes and utilizing the positive interactions will be helpful for resistance breeding in wheat.
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43
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Cobb JN, Biswas PS, Platten JD. Back to the future: revisiting MAS as a tool for modern plant breeding. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:647-667. [PMID: 30560465 PMCID: PMC6439155 DOI: 10.1007/s00122-018-3266-4] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 12/07/2018] [Indexed: 05/04/2023]
Abstract
KEY MESSAGE New models for integration of major gene MAS with modern breeding approaches stand to greatly enhance the reliability and efficiency of breeding, facilitating the leveraging of traditional genetic diversity. Genetic diversity is well recognised as contributing essential variation to crop breeding processes, and marker-assisted selection is cited as the primary tool to bring this diversity into breeding programs without the associated genetic drag from otherwise poor-quality genomes of donor varieties. However, implementation of marker-assisted selection techniques remains a challenge in many breeding programs worldwide. Many factors contribute to this lack of adoption, such as uncertainty in how to integrate MAS with traditional breeding processes, lack of confidence in MAS as a tool, and the expense of the process. However, developments in genomics tools, locus validation techniques, and new models for how to utilise QTLs in breeding programs stand to address these issues. Marker-assisted forward breeding needs to be enabled through the identification of robust QTLs, the design of reliable marker systems to select for these QTLs, and the delivery of these QTLs into elite genomic backgrounds to enable their use without associated genetic drag. To enhance the adoption and effectiveness of MAS, rice is used as an example of how to integrate new developments and processes into a coherent, efficient strategy for utilising genetic variation. When processes are instituted to address these issues, new genes can be rolled out into a breeding program rapidly and completely with a minimum of expense.
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Affiliation(s)
- Joshua N Cobb
- International Rice Research Institute, National Road, Los Banos, Laguna, Philippines
| | - Partha S Biswas
- International Rice Research Institute, National Road, Los Banos, Laguna, Philippines
- Bangladesh Rice Research Institute, Gazipur, 1701, Bangladesh
| | - J Damien Platten
- International Rice Research Institute, National Road, Los Banos, Laguna, Philippines.
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44
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Chukwu SC, Rafii MY, Ramlee SI, Ismail SI, Oladosu Y, Okporie E, Onyishi G, Utobo E, Ekwu L, Swaray S, Jalloh M. Marker-assisted selection and gene pyramiding for resistance to bacterial leaf blight disease of rice (Oryza sativa L.). BIOTECHNOL BIOTEC EQ 2019. [DOI: 10.1080/13102818.2019.1584054] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Affiliation(s)
- Samuel Chibuike Chukwu
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Selangor, Malaysia
- Department of Crop Production and Landscape Management, Faculty of Agriculture and Natural Resources Management, Ebonyi State University, Abakaliki, Nigeria
| | - Mohd Y. Rafii
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Selangor, Malaysia
- Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Shairul Izan Ramlee
- Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Siti Izera Ismail
- Department of Plant Protection, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Yussuf Oladosu
- Department of Crop Science and Technology, School of Agriculture and Agricultural Technology, Federal University of Technology, Owerri, Nigeria
| | - Emmanuel Okporie
- Department of Crop Production and Landscape Management, Faculty of Agriculture and Natural Resources Management, Ebonyi State University, Abakaliki, Nigeria
| | - Godwin Onyishi
- Department of Crop Science and Technology, School of Agriculture and Agricultural Technology, Federal University of Technology, Owerri, Nigeria
| | - Emeka Utobo
- Department of Crop Production and Landscape Management, Faculty of Agriculture and Natural Resources Management, Ebonyi State University, Abakaliki, Nigeria
| | - Lynda Ekwu
- Department of Crop Production and Landscape Management, Faculty of Agriculture and Natural Resources Management, Ebonyi State University, Abakaliki, Nigeria
| | - Senesie Swaray
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Selangor, Malaysia
| | - Momodu Jalloh
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Selangor, Malaysia
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Chukwu SC, Rafii MY, Ramlee SI, Ismail SI, Hasan MM, Oladosu YA, Magaji UG, Akos I, Olalekan KK. Bacterial leaf blight resistance in rice: a review of conventional breeding to molecular approach. Mol Biol Rep 2019; 46:1519-1532. [PMID: 30628024 DOI: 10.1007/s11033-019-04584-2] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 01/02/2019] [Indexed: 01/10/2023]
Abstract
Breeding for disease resistant varieties remains very effective and economical in controlling the bacterial leaf blight (BLB) of rice. Breeders have played a major role in developing resistant rice varieties against the BLB infection which has been adjudged to be a major disease causing significant yield reduction in rice. It would be difficult to select rice crops with multiple genes of resistance using the conventional approach alone. This is due to masking effect of genes including epistasis. In addition, conventional breeding takes a lot of time before a gene of interest can be introgressed. Linkage drag is also a major challenge in conventional approach. Molecular breeding involving markers has facilitated the characterization and introgression of BLB disease resistance genes. Biotechnology has brought another innovation in form of genetic engineering (transgenesis) of rice. Although, molecular breeding cannot be taken as a substitute for conventional breeding, molecular approach for combating BLB disease in rice is worthwhile given the demand for increased production of rice in a fast growing population of our society. This present article highlights the recent progress from conventional to molecular approach in breeding for BLB disease resistant rice varieties.
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Affiliation(s)
- S C Chukwu
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
- Department of Crop Production and Landscape Management, Ebonyi State University, Abakaliki, Nigeria
| | - M Y Rafii
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
- Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
| | - S I Ramlee
- Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
| | - S I Ismail
- Department of Plant Protection, Faculty of Agriculture, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
| | - M M Hasan
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
| | - Y A Oladosu
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
| | - U G Magaji
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
| | - Ibrahim Akos
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
| | - K K Olalekan
- Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
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46
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Chang TG, Chang S, Song QF, Perveen S, Zhu XG. Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops. IN SILICO PLANTS 2019; 1:ISP-01-01-diy003. [PMID: 33381682 PMCID: PMC7731669 DOI: 10.1093/insilicoplants/diy003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 12/17/2018] [Accepted: 02/13/2019] [Indexed: 05/18/2023]
Abstract
Recent years witnessed a stagnation in yield enhancement in major staple crops, which leads plant biologists and breeders to focus on an urgent challenge to dramatically increase crop yield to meet the growing food demand. Systems models have started to show their capacity in guiding crops improvement for greater biomass and grain yield production. Here we argue that systems models, phenomics and genomics combined are three pillars for the future breeding for high-yielding photosynthetically efficient crops (HYPEC). Briefly, systems models can be used to guide identification of breeding targets for a particular cultivar and define optimal physiological and architectural parameters for a particular crop to achieve high yield under defined environments. Phenomics can support collection of architectural, physiological, biochemical and molecular parameters in a high-throughput manner, which can be used to support both model validation and model parameterization. Genomic techniques can be used to accelerate crop breeding by enabling more efficient mapping between genotypic and phenotypic variation, and guide genome engineering or editing for model-designed traits. In this paper, we elaborate on these roles and how they can work synergistically to support future HYPEC breeding.
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Affiliation(s)
- Tian-Gen Chang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shuoqi Chang
- State Key Laboratory of Hybrid Rice, HHRRC, Changsha 410125, China
| | - Qing-Feng Song
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shahnaz Perveen
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xin-Guang Zhu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200031, China
- Corresponding author’s e-mail address:
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Yang N, McDonald MC, Solomon PS, Milgate AW. Genetic mapping of Stb19, a new resistance gene to Zymoseptoria tritici in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:2765-2773. [PMID: 30238255 DOI: 10.1007/s00122-018-3189-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 09/10/2018] [Indexed: 05/26/2023]
Abstract
A new and dominant R gene Stb19 is identified from a soft wheat cultivar 'Lorikeet' and was mapped on the distal region of chromosome 1DS. Two tightly linked KASP markers were also discovered and validated for molecular-assisted breeding programs. A new R gene, designated as Stb19, provides resistance to Zymoseptoria tritici in wheat. This new dominant gene resides on the short arm of chromosome 1D, exhibiting complete resistance to three Z. tritici isolates, WAI332, WAI251, and WAI161, at the seedling stage. A genetic linkage map, based on an F2:3 population of 'Lorikeet' and 'Summit,' found the Stb19 gene at a 9.3 cM region on 1DS, closely linked with two Kompetitive Allele-Specific PCR markers, snp_4909967 and snp_1218021. Further, the two markers were tested and validated in another F2:3 population and 266 different wheat accessions, which gave over 95% accuracy of resistance/susceptibility prediction. Combined with the physical location of the identified SNPs and the previous evidence of gene order on chromosome 1DS (centromere-Sr45-Sr33-Lr21-telomere), Stb19 is proposed to be located between Sr33 and Lr21. Thus, the newly discovered Stb19 along with the KASP markers represents an increase in genetic resources available for wheat breeding resistance to Z. tritici.
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Affiliation(s)
- Nannan Yang
- NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Pine Gully Road, Wagga Wagga, NSW, 2650, Australia
| | - Megan C McDonald
- Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra, 2601, Australia
| | - Peter S Solomon
- Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra, 2601, Australia
| | - Andrew W Milgate
- NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Pine Gully Road, Wagga Wagga, NSW, 2650, Australia.
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48
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Kim SM. Identification of novel recessive gene xa44(t) conferring resistance to bacterial blight races in rice by QTL linkage analysis using an SNP chip. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:2733-2743. [PMID: 30225642 PMCID: PMC6244528 DOI: 10.1007/s00122-018-3187-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 09/08/2018] [Indexed: 05/19/2023]
Abstract
KEY MESSAGE Using QTL analysis and fine mapping, the novel recessive gene xa44(t) conferring resistance to BB was identified and the expression level of the gene was confirmed through qRT-PCR analysis. Bacterial blight (BB) disease caused by Xanthomonas oryzae pv. oryzae (Xoo) is a major factor causing rice yield loss in most rice-cultivating countries, especially in Asia. The deployment of cultivars with resistance to BB is the most effective method to control the disease. However, the evolution of new Xoo or pathotypes altered by single-gene-dependent mutations often results in breakdown of resistance. Thus, efforts to identify novel R-genes with sustainable BB resistance are urgently needed. In this study, we identified three quantitative trait loci (QTLs) on chromosomes 1, 4, and 11, from an F2 population of 493 individuals derived from a cross between IR73571-3B-11-3-K3 and Ilpum using a 7K SNP chip. Of these QTLs, one major QTL, qBB_11, on chromosome 11 explained 61.58% of the total phenotypic variance in the population, with an LOD value of 113.59, based on SNPs 11964077 and 11985463. The single major R-gene, with recessive gene action, was designated xa44(t) and was narrowed down to a 120-kb segment flanked within 28.00 Mbp to 28.12 Mbp. Of nine ORFs present in the target region, two ORFs revealed significantly different expression levels of the candidate genes. These candidate genes (Os11g0690066 and Os11g0690466) are described as "serine/threonine protein kinase domain containing protein" and "hypothetical protein," respectively. The results will be useful to further understand BB resistance mechanisms and provide new sources of resistance, together with DNA markers for MAS breeding to improve BB resistance in rice.
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Affiliation(s)
- Suk-Man Kim
- Strategic Innovation Platform, International Rice Research Institute, Los Baños, Philippines.
- IRRI-Korea Office, National Institute of Crop Science, Rural Development Administration, Jeollabuk-do, 55365, Republic of Korea.
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Marker-aided selection and validation of various
$${ Pi}$$
Pi
gene combinations for rice blast resistance in elite rice variety ADT 43. J Genet 2018. [DOI: 10.1007/s12041-018-0988-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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50
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Developing japonica rice introgression lines with multiple resistance genes for brown planthopper, bacterial blight, rice blast, and rice stripe virus using molecular breeding. Mol Genet Genomics 2018; 293:1565-1575. [DOI: 10.1007/s00438-018-1470-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 06/29/2018] [Indexed: 10/28/2022]
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