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Wang B, Meng T, Xiao B, Yu T, Yue T, Jin Y, Ma P. Fighting wheat powdery mildew: from genes to fields. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:196. [PMID: 37606731 DOI: 10.1007/s00122-023-04445-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/07/2023] [Indexed: 08/23/2023]
Abstract
KEY MESSAGE Host resistance conferred by Pm genes provides an effective strategy to control powdery mildew. The study of Pm genes helps modern breeding develop toward more intelligent and customized. Powdery mildew of wheat is one of the most destructive diseases seriously threatening the crop yield and quality worldwide. The genetic research on powdery mildew (Pm) resistance has entered a new era. Many Pm genes from wheat and its wild and domesticated relatives have been mined and cloned. Meanwhile, modern breeding strategies based on high-throughput sequencing and genome editing are emerging and developing toward more intelligent and customized. This review highlights mining and cloning of Pm genes, molecular mechanism studies on the resistance and avirulence genes, and prospects for genomic-assisted breeding for powdery mildew resistance in wheat.
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Affiliation(s)
- Bo Wang
- Yantai Key Laboratory of Characteristic Agricultural Biological Resource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai, 264005, China
| | - Ting Meng
- Yantai Key Laboratory of Characteristic Agricultural Biological Resource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai, 264005, China
| | - Bei Xiao
- Yantai Key Laboratory of Characteristic Agricultural Biological Resource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai, 264005, China
| | - Tianying Yu
- Yantai Key Laboratory of Characteristic Agricultural Biological Resource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai, 264005, China
| | - Tingyan Yue
- Yantai Key Laboratory of Characteristic Agricultural Biological Resource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai, 264005, China
| | - Yuli Jin
- Yantai Key Laboratory of Characteristic Agricultural Biological Resource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai, 264005, China
| | - Pengtao Ma
- Yantai Key Laboratory of Characteristic Agricultural Biological Resource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai, 264005, China.
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Yin Y, Yuan C, Zhang Y, Li S, Bai B, Wu L, Ren Y, Singh RP, Lan C. Genetic analysis of stripe rust resistance in the common wheat line Kfa/2*Kachu under a Chinese rust environment. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:185. [PMID: 37566234 DOI: 10.1007/s00122-023-04432-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 07/24/2023] [Indexed: 08/12/2023]
Abstract
KEY MESSAGE We mapped a new race-specific seedling stripe rust resistance gene on wheat chromosome 5BL and a new APR locus QYr.hazu-2BS from CIMMYT wheat line Kfa/2*Kachu. Breeding resistant wheat (Triticum aestivum) varieties is the most economical and efficient way to manage wheat stripe rust, but requires the prior identification of new resistance genes and development of associated molecular markers for marker-assisted selection. To map stripe rust resistance loci in wheat, we used a recombinant inbred line population generated by crossing the stripe rust-resistant parent 'Kfa/2*Kachu' and the susceptible parent 'Apav#1'. We employed genotyping-by-sequencing and bulked segregant RNA sequencing to map a new race-specific seedling stripe rust resistance gene, which we designated YrK, to wheat chromosome arm 5BL. TraesCS5B02G330700 encodes a receptor-like kinase and is a high-confidence candidate gene for YrK based on virus-induced gene silencing results and the significant induction of its expression 24 h after inoculation with wheat stripe rust. To assist breeding, we developed functional molecular markers based on the polymorphic single nucleotide polymorphisms in the coding sequence region of YrK. We also mapped four adult plant resistance (APR) loci to wheat chromosome arms 1BL, 2AS, 2BS and 4AL. Among these APR loci, we determined that QYr.hazu-1BL and QYr.hazu-2AS are allelic to the known pleiotropic resistance gene Lr46/Yr29/Pm39 and the race-specific gene Yr17, respectively. However, QYr.hazu-2BS is likely a new APR locus, for which we converted closely linked SNP polymorphisms into breeder-friendly Kompetitive allele-specific PCR (KASP) markers. In the present study, we provided new stripe rust resistance locus/gene and molecular markers for wheat breeder to develop rust-resistant wheat variety.
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Affiliation(s)
- Yuruo Yin
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, 430070, Hubei Province, China
| | - Chan Yuan
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, 430070, Hubei Province, China
| | - Yichen Zhang
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, 430070, Hubei Province, China
| | - Shunda Li
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, 430070, Hubei Province, China
| | - Bin Bai
- Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, 730070, People's Republic of China
| | - Ling Wu
- Crop Research Institute Sichuan Academy of Agricultural Sciences, Environment Friendly Crop Germplasm Innovation and Genetic Improvement Key Laboratory, Chengdu, 610066, Sichuan Province, China
| | - Yong Ren
- Mianyang Institute of Agricultural Science/Crop Characteristic Resources Creation and Utilization Key Laboratory of Sichuan Province, Mianyang, 621023, Sichuan, China
| | - Ravi P Singh
- International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera, México-Veracruz, CP 56237, El Batán, Texcoco, E do. de México, Mexico
| | - Caixia Lan
- Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, 430070, Hubei Province, China.
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Sehgal D, Dhakate P, Ambreen H, Shaik KHB, Rathan ND, Anusha NM, Deshmukh R, Vikram P. Wheat Omics: Advancements and Opportunities. PLANTS (BASEL, SWITZERLAND) 2023; 12:426. [PMID: 36771512 PMCID: PMC9919419 DOI: 10.3390/plants12030426] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 12/07/2022] [Accepted: 12/14/2022] [Indexed: 06/18/2023]
Abstract
Plant omics, which includes genomics, transcriptomics, metabolomics and proteomics, has played a remarkable role in the discovery of new genes and biomolecules that can be deployed for crop improvement. In wheat, great insights have been gleaned from the utilization of diverse omics approaches for both qualitative and quantitative traits. Especially, a combination of omics approaches has led to significant advances in gene discovery and pathway investigations and in deciphering the essential components of stress responses and yields. Recently, a Wheat Omics database has been developed for wheat which could be used by scientists for further accelerating functional genomics studies. In this review, we have discussed various omics technologies and platforms that have been used in wheat to enhance the understanding of the stress biology of the crop and the molecular mechanisms underlying stress tolerance.
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Affiliation(s)
- Deepmala Sehgal
- International Maize and Wheat Improvement Center (CIMMYT), El Batán, Texcoco 56237, Mexico
- Syngenta, Jealott’s Hill International Research Centre, Bracknell, Berkshire RG42 6EY, UK
| | - Priyanka Dhakate
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110076, India
| | - Heena Ambreen
- School of Life Sciences, University of Sussex, Brighton BN1 9RH, UK
| | - Khasim Hussain Baji Shaik
- Faculty of Agriculture Sciences, Georg-August-Universität, Wilhelmsplatz 1, 37073 Göttingen, Germany
| | - Nagenahalli Dharmegowda Rathan
- Indian Agricultural Research Institute (ICAR-IARI), New Delhi 110012, India
- Corteva Agriscience, Hyderabad 502336, Telangana, India
| | | | - Rupesh Deshmukh
- Department of Biotechnology, Central University of Haryana, Mahendragarh 123031, Haryana, India
| | - Prashant Vikram
- Bioseed Research India Ltd., Hyderabad 5023324, Telangana, India
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Construction of A GBS-Based High-Density Genetic Map and Flower Color-Related Loci Mapping in Grasspea (Lathyrus sativus L.). PLANTS 2022; 11:plants11162172. [PMID: 36015475 PMCID: PMC9414002 DOI: 10.3390/plants11162172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/17/2022] [Accepted: 08/18/2022] [Indexed: 11/17/2022]
Abstract
Grasspea (Lathyrus sativus L.), a legume crop with excellent resistance to a broad array of environmental stressors, has, to this point, been poorly genetically characterized. High-density genetic linkage maps are critical for draft genome assembly, quantitative trait loci (QTLs) analysis, and gene mining. The lack of a high-density genetic linkage map has limited both genomic studies and selective breeding in grasspea. Here, we developed a high-density genetic linkage map of grasspea using genotyping-by-sequencing (GBS) to sequence 154 grasspea plants, comprising 2 parents and 152 F2 progeny. In all, 307.74 Gb of data was produced, including 2,108,910,938 paired-end reads, as well as 3536 SNPs mapped to seven linkage groups (LG1–LG7). With an average length of 996.52 cM per LG, the overall genetic distance was 6975.68 cM. Both the χ2 test and QTL analysis, based on the Kruskal–Wallis (KW) test and interval mapping (IM) analysis, revealed the monogenic inheritance of flower color in grasspea, with the responsible QTL located between 308.437 cM and 311.346 cM in LG4. The results can aid grasspea genome assembly and accelerate the selective breeding of new grasspea germplasm resources.
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