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Liang Z, Qi N, Li R, Gao R, Huang J, Zhao W, Zhang H, Wang H, Ao X, Yao X, Xie F. Genome-Wide Association Study to Identify Soybean Lodging Resistance Loci and Candidate Genes. Int J Mol Sci 2025; 26:4446. [PMID: 40362683 PMCID: PMC12072681 DOI: 10.3390/ijms26094446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2025] [Revised: 04/30/2025] [Accepted: 05/02/2025] [Indexed: 05/15/2025] Open
Abstract
High-density planting is crucial for maximizing the genetic potential of soybean cultivars to achieve higher yields. However, increasing the planting density can lead to the risk of plant lodging. Therefore, the identification of gene loci associated with lodging resistance is considered critical for the development of high-yielding, lodging-resistant soybean cultivars. In this study, 338 natural soybean accessions from the similar latitude were used to identify candidate genes associated with lodging resistance. Based on 9,400,987 SNPs, the soybean population was classified into three subpopulations. Genome-wide association analysis revealed that under planting densities of 300,000 and 150,000 plants/ha, a total of 20 significant SNPs were repeatedly detected under both planting densities, distributed across 14 chromosomes of soybeans. A hotspot region was identified on chromosome 19, from which seven candidate genes were detected. Based on haplotype and gene expression analyses, Glyma.19g212800 (SUS3) and Glyma.19g212700 (GH9B13) were found to be associated with significant phenotypic variations and were identified as candidate genes. RNA-seq analysis showed that DEGs were primarily enriched in the starch and sucrose metabolism pathways. The differential expression of Glyma.19g212800 among soybean haplotypes was further validated by qRT-PCR. By participating in sucrose decomposition and polysaccharide metabolism processes, it regulated cellulose content, thereby affecting the soybean plant lodging. This study facilitated the dissection of genetic networks underlying lodging traits in soybean, which benefits the genetic improvement of high-yield soybean with dense planting.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Xingdong Yao
- Soybean Research Institute, Shenyang Agricultural University, Shenyang 110866, China; (Z.L.); (N.Q.); (R.L.); (R.G.); (J.H.); (W.Z.); (H.Z.); (H.W.); (X.A.)
| | - Futi Xie
- Soybean Research Institute, Shenyang Agricultural University, Shenyang 110866, China; (Z.L.); (N.Q.); (R.L.); (R.G.); (J.H.); (W.Z.); (H.Z.); (H.W.); (X.A.)
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Chen B, Liu Y, Yang Y, Wang Q, Li S, Li F, Du L, Zhang P, Wang X, Zhang S, Zhang X, Kang Z, Wang X, Mao H. A system genetics analysis uncovers the regulatory variants controlling drought response in wheat. PLANT BIOTECHNOLOGY JOURNAL 2025; 23:1565-1584. [PMID: 39977251 PMCID: PMC12018837 DOI: 10.1111/pbi.14605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 12/24/2024] [Accepted: 01/15/2025] [Indexed: 02/22/2025]
Abstract
Plants activate a variable response to drought stress by modulating transcription of key genes. However, our knowledge of genetic variations governing gene expression in response to drought stress remains limited in natural germplasm. Here, we performed a comprehensive analysis of the transcriptional variability of 200 wheat accessions in response to drought stress by using a systems genetics approach integrating pan-transcriptome, co-expression networks, transcriptome-wide association study (TWAS), and expression quantitative trait loci (eQTLs) mapping. We identified 1621 genes and eight co-expression modules significantly correlated with wheat drought tolerance. We also defined 620 664 and 654 798 independent eQTLs associated with the expression of 17 429 and 18 080 eGenes under normal and drought stress conditions. Focusing on dynamic regulatory variants, we further identified 572 eQTL hotspots and constructed transcription factors governed drought-responsive network by the XGBoost model. Subsequently, by combining with genome-wide association study (GWAS), we uncovered a 369-bp insertion variant in the TaKCS3 promoter containing multiple cis-regulatory elements recognized by eQTL hotspot-associated transcription factors that enhance its transcription. Further functional analysis indicated that elevating TaKCS3 expression affects cuticular wax composition to reduce water loss during drought stress, and thereby increase drought tolerance. This study sheds light on the genome-wide genetic variants that influence dynamic transcriptional changes during drought stress and provides a valuable resource for the mining of drought-tolerant genes in the future.
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Affiliation(s)
- Bin Chen
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Yuling Liu
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Yanyan Yang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Qiannan Wang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Shumin Li
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of AgronomyNorthwest A&F UniversityYanglingShaanxiChina
| | - Fangfang Li
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Linying Du
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of AgronomyNorthwest A&F UniversityYanglingShaanxiChina
| | - Peiyin Zhang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Xuemin Wang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Shuangxing Zhang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of AgronomyNorthwest A&F UniversityYanglingShaanxiChina
| | - Xiaoke Zhang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of AgronomyNorthwest A&F UniversityYanglingShaanxiChina
| | - Zhensheng Kang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Xiaojie Wang
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of Plant ProtectionNorthwest A&F UniversityYanglingShaanxiChina
| | - Hude Mao
- State Key Laboratory for Crop Stress Resistance and High‐Efficiency Production, College of AgronomyNorthwest A&F UniversityYanglingShaanxiChina
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Vo Van-Zivkovic N, Dinglasan E, Tong J, Watt C, Goody J, Mullan D, Hickey L, Robinson H. A large-scale multi-environment study dissecting adult-plant resistance haplotypes for stripe rust resistance in Australian wheat breeding populations. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2025; 138:72. [PMID: 40080143 PMCID: PMC11906565 DOI: 10.1007/s00122-025-04859-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Accepted: 02/18/2025] [Indexed: 03/15/2025]
Abstract
KEY MESSAGE Genetic variation in stripe rust resistance exists in Australian wheat breeding populations and is environmentally influenced. Stacking multiple resistance haplotypes or using whole-genome approaches will improve resistance stability and environmental specificity. Wheat stripe rust (Puccinia striiformis) is a fungal disease responsible for substantial yield losses globally. To maintain crop productivity in future climates, the identification of genetics offering durable resistance across diverse growing conditions is crucial. To stay one-step ahead of the pathogen, Australian wheat breeders are actively selecting for adult-plant resistance (APR), which is considered more durable than seedling resistance. However, deploying resistance that is stable or effective across environments and years is challenging as expression of underling APR loci often interacts with environmental conditions. To explore the underlying genetics and interactions with the environment for stripe rust resistance, we employ haplotype-based mapping using the local GEBV approach in elite wheat breeding populations. Our multi-environment trial analyses comprising 35,986 inbred lines evaluated across 10 environments revealed significant genotype-by-environment interactions for stripe rust. A total of 32 haploblocks associated with stripe rust resistance were identified, where 23 were unique to a specific environment and nine were associated with stable resistance across environments. Population structure analysis revealed commercial or advanced breeding lines carried desirable resistance haplotypes, highlighting the opportunity to continue to harness and optimise resistance haplotypes already present within elite backgrounds. Further, we demonstrate that in silico stacking of multiple resistance haplotypes through a whole-genome approach has the potential to substantially improve resistance levels. This represents the largest study to date exploring commercial wheat breeding populations for stripe rust resistance and highlights the breeding opportunities to improve stability of resistance across and within target environments.
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Affiliation(s)
- Natalya Vo Van-Zivkovic
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Eric Dinglasan
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Jingyang Tong
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Calum Watt
- InterGrain Pty Ltd, Perth, WA, 6163, Australia
| | | | | | - Lee Hickey
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Hannah Robinson
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
- InterGrain Pty Ltd, Perth, WA, 6163, Australia.
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Liu S, Xiang M, Wang X, Li J, Cheng X, Li H, Singh RP, Bhavani S, Huang S, Zheng W, Li C, Yuan F, Wu J, Han D, Kang Z, Zeng Q. Development and application of the GenoBaits WheatSNP16K array to accelerate wheat genetic research and breeding. PLANT COMMUNICATIONS 2025; 6:101138. [PMID: 39318097 PMCID: PMC11783889 DOI: 10.1016/j.xplc.2024.101138] [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: 03/04/2024] [Revised: 08/05/2024] [Accepted: 09/23/2024] [Indexed: 09/26/2024]
Abstract
Single-nucleotide polymorphisms (SNPs) are widely used as molecular markers for constructing genetic linkage maps in wheat. Compared with available SNP-based genotyping platforms, a genotyping by target sequencing (GBTS) system with capture-in-solution (liquid chip) technology has become the favored genotyping technology because it is less demanding and more cost effective, flexible, and user-friendly. In this study, a new GenoBaits WheatSNP16K (GBW16K) GBTS array was designed using datasets generated by the wheat 660K SNP array and resequencing platforms in our previous studies. The GBW16K array contains 14 868 target SNP regions that are evenly distributed across the wheat genome, and 37 669 SNPs in these regions can be identified in a diversity panel consisting of 239 wheat accessions from around the world. Principal component and neighbor-joining analyses using the called SNPs are consistent with the pedigree information and geographic distributions or ecological environments of the accessions. For the GBW16K marker panel, the average genetic diversity among the 239 accessions is 0.270, which is sufficient for linkage map construction and preliminary mapping of targeted genes or quantitative trait loci (QTLs). A genetic linkage map, constructed using the GBW16K array-based genotyping of a recombinant inbred line population derived from a cross of the CIMMYT wheat line Yaco"S" and the Chinese landrace Mingxian169, enables the identification of Yr27, Yr30, and QYr.nwafu-2BL.4 for adult-plant resistance to stripe rust from Yaco"S" and of Yr18 from Mingxian169. QYr.nwafu-2BL.4 is different from any previously reported gene/QTL. Three haplotypes and six candidate genes have been identified for QYr.nwafu-2BL.4 on the basis of haplotype analysis, micro-collinearity, gene annotation, RNA sequencing, and SNP data. This array provides a new tool for wheat genetic analysis and breeding studies and for achieving durable control of wheat stripe rust.
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Affiliation(s)
- Shengjie Liu
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Mingjie Xiang
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Xiaoting Wang
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Jiaqi Li
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Xiangrui Cheng
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Huaizhou Li
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Ravi P Singh
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, Texcoco, Estado de México 56237, Mexico; Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, Hubei, China
| | - Sridhar Bhavani
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, Texcoco, Estado de México 56237, Mexico
| | - Shuo Huang
- Key Laboratory of Plant Design, Chinese Academy of Sciences, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200000, China
| | - Weijun Zheng
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Chunlian Li
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Fengping Yuan
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Jianhui Wu
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Dejun Han
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi, China.
| | - Zhensheng Kang
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling 712100, Shaanxi, China.
| | - Qingdong Zeng
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling 712100, Shaanxi, China.
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Li C, Dong S, Beckles DM, Liu X, Guan J, Wang Z, Gu X, Miao H, Zhang S. Candidate genes associated with low temperature tolerance in cucumber adult plants identified by combining GWAS & QTL mapping. STRESS BIOLOGY 2024; 4:53. [PMID: 39658697 PMCID: PMC11631831 DOI: 10.1007/s44154-024-00191-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Accepted: 09/25/2024] [Indexed: 12/12/2024]
Abstract
Fruit quality and yield are reduced when cucumber (Cucumis sativus L.) plants are exposed to low temperature (LT) stress, yet, the inheritance and genes linked to cold tolerance in adult plants have not been reported yet. Here, the LT-tolerance of 120 cucumber accessions representing four ecotypes were evaluated by GWAS, and also, in 140 recombinant inbred lines (RILs) derived from a biparental cross. Plants were exposed to naturally occurring LT environments in a plastic greenhouse, in winter 2022, and 2023, and a low temperature injury index (LTII) was employed to evaluate plant performance. Genetic analysis revealed that the LT-tolerance evaluated in the adult cucumber plants was a multigenic quantitative trait, and that 18 of the 120 accessions were highly LT tolerant by our LTII assessment. Two loci (gLTT1.1 and gLTT3.1) exhibited strong signals that were consistent and stable in two environments. In addition, two QTLs-qLTT1.2 on chromosome (Chr.) 1, and qLTT3.1 on Chr. 3, were discovered in all tests using RIL population derived from a cross between LT-sensitive 'CsIVF0106', and LT-tolerant 'CsIVF0168'. qLTT1.2 was delimited to a 1.24-Mb region and qLTT3.1 was narrowed to a 1.43-Mb region. Interestingly, a peak single nucleotide polymorphism (SNP) at gLTT1.1 and gLTT3.1 was also found in qLTT1.2 and qLTT3.1, respectively. These loci were thus renamed as gLTT1.1 and gLTT3.1. In these regions, 25 genes were associated with the LT response. By identifying differences in haplotypes and transcript profiles among these genes, we identified four candidates: CsaV3_1G012520 (an ethylene-responsive transcription factor) and CsaV3_1G013060 (a RING/U-box superfamily protein) in gLTT1.1, and two RING-type E3 ubiquitin transferases at CsaV3_3G018440 and CsaV3_3G017700 in gLTT3.1 that may regulate LT-tolerance in adult cucumber. Interestingly, the accessions in which the LT-tolerant haplotypes for two loci were pyramided, displayed maximally high tolerance for LT. These findings therefore provide a solid foundation for the identification of LT-tolerant genes and the molecular breeding of cucumber with LT-tolerance.
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Affiliation(s)
- Caixia Li
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shaoyun Dong
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Diane M Beckles
- Department of Plant Sciences, University of California, One Shield Avenue, Davis, CA, 95616, USA
| | - Xiaoping Liu
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jiantao Guan
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zaizhan Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xingfang Gu
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Han Miao
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Shengping Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Zhang Y, Chen G, Zang Y, Bhavani S, Bai B, Liu W, Zhao M, Cheng Y, Li S, Chen W, Yan W, Mao H, Su H, Singh RP, Lagudah E, Li Q, Lan C. Lr34/Yr18/Sr57/Pm38 confers broad-spectrum resistance to fungal diseases via sinapyl alcohol transport for cell wall lignification in wheat. PLANT COMMUNICATIONS 2024; 5:101077. [PMID: 39233441 PMCID: PMC11671766 DOI: 10.1016/j.xplc.2024.101077] [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: 02/23/2024] [Revised: 07/26/2024] [Accepted: 09/02/2024] [Indexed: 09/06/2024]
Abstract
The widely recognized pleiotropic adult plant resistance gene Lr34 encodes an ATP-binding cassette transporter and plays an important role in breeding wheat for enhanced resistance to multiple fungal diseases. Despite its significance, the mechanisms underlying Lr34-mediated pathogen defense remain largely unknown. Our study demonstrates that wheat lines carrying the Lr34res allele exhibit thicker cell walls and enhanced resistance to fungal penetration compared to those without Lr34res. Transcriptome and metabolite profiling revealed that the lignin biosynthetic pathway is suppressed in lr34 mutants, indicating a disruption in cell wall lignification. Additionally, we discovered that lr34 mutant lines are hypersensitive to sinapyl alcohol, a major monolignol crucial for cell wall lignification. Yeast accumulation and efflux assays confirmed that the LR34 protein functions as a sinapyl alcohol transporter. Both genetic and virus-induced gene silencing experiments demonstrated that the disease resistance conferred by Lr34 can be enhanced by incorporating the TaCOMT-3B gene, which is responsible for the biosynthesis of sinapyl alcohol. Collectively, our findings provide novel insights into the role of Lr34 in disease resistance through mediating sinapyl alcohol transport and cell wall deposition, and highlight the synergistic effect of TaCOMT-3B and Lr34 against multiple fungal pathogens by mediating cell wall lignification in adult wheat plants.
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Affiliation(s)
- Yichen Zhang
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Guang Chen
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Yiming Zang
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Sridhar Bhavani
- International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera, México-Veracruz, El Batán, Texcoco CP 56237E do, de México, Mexico
| | - Bin Bai
- Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou City, Gansu Province 730070, China
| | - Wei Liu
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Miaomiao Zhao
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Yikeng Cheng
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Shunda Li
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Wei Chen
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Wenhao Yan
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Hailiang Mao
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Handong Su
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China
| | - Ravi P Singh
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China; International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera, México-Veracruz, El Batán, Texcoco CP 56237E do, de México, Mexico
| | - Evans Lagudah
- CSIRO Agriculture & Food, Canberra, ACT 2601, Australia
| | - Qiang Li
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China.
| | - Caixia Lan
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan City, Hubei Province 430070, China.
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Xiang M, Tian B, Cao J, Liu S, Zhou C, Wang X, Zhang Y, Li J, Yuan X, Wan J, Yu R, Zheng W, Wu J, Zeng Q, Kang Z, Li C, Cui F, Han D. Yr29 combined with QYr.nwafu-4BL.3 confers durable resistance to stripe rust in wheat cultivar Jing 411. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:252. [PMID: 39425797 DOI: 10.1007/s00122-024-04758-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 10/06/2024] [Indexed: 10/21/2024]
Abstract
KEY MESSAGE The combination of a QTL on chromosome arm 4BL and Yr29 provides durable resistance with no significant yield penalty. Wheat stripe rust or yellow rust (YR), caused by Puccinia striiformis f. sp. tritici (Pst), causes substantial yield reductions globally, but losses can be minimized by using resistance genes. Chinese wheat cultivar Jing 411 (J411) has continued to display an acceptable level of adult-plant resistance (APR) to YR in varied field conditions since its release in the 1990s. A recombinant inbred line (RIL) population comprising 187 lines developed from a cross of J411 and Kenong 9204 (KN9204) was evaluated in multiple environments to identify genomic regions carrying genes for YR resistance. A total of five quantitative trait loci (QTL) on chromosome arm 1BL, 3BS, 4BL, 6BS, and 7BL from J411 and two QTL on 3DS and 7DL from KN9204 were detected using inclusive composite interval mapping with the wheat 660 K SNP array. QYr.nwafu-1BL.5 and QYr.nwafu-4BL.3 from J411 were robust and showed similar effects in all environments. QYr.nwafu-1BL.5 was likely the pleiotropic gene of Yr29/Lr46. QYr.nwafu-4BL.3 was located within a 1.0 cM interval delimited by KASP markers AX-111609222 and AX-89755491. Based on haplotype analysis, Yr29 and QYr.nwafu-4BL.3 were identified as genetic components of quantitative resistance in a number of wheat cultivars. Moreover, RILs with Yr29 and QYr.nwafu-4BL.3 individually or when combined showed higher resistance to YR in rust nurseries compared with RILs without them, and there was no negative effect of their presence on agronomic traits under rust-free conditions. These results suggest that effective polymerization strategy is important for breeding high yielding and durable resistance cultivars.
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Affiliation(s)
- Mingjie Xiang
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Bo Tian
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Jianghao Cao
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Shengjie Liu
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Caie Zhou
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xiaoting Wang
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Yibo Zhang
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Jiale Li
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xunying Yuan
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Jufen Wan
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Rui Yu
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Weijun Zheng
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Jianhui Wu
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Qingdong Zeng
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Zhensheng Kang
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Chunlian Li
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
| | - Fa Cui
- College of Agriculture/Key Laboratory of Molecular Module-Based Breeding of High Yield and AbioticResistant Plants, Ludong University, Universities of Shandong, Yantai, Shandong, 264025, People's Republic of China.
| | - Dejun Han
- State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
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8
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Geethanjali S, Kadirvel P, Periyannan S. Wheat improvement through advances in single nucleotide polymorphism (SNP) detection and genotyping with a special emphasis on rust resistance. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:224. [PMID: 39283360 PMCID: PMC11405505 DOI: 10.1007/s00122-024-04730-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 08/24/2024] [Indexed: 09/22/2024]
Abstract
KEY MESSAGE Single nucleotide polymorphism (SNP) markers in wheat and their prospects in breeding with special reference to rust resistance. Single nucleotide polymorphism (SNP)-based markers are increasingly gaining momentum for screening and utilizing vital agronomic traits in wheat. To date, more than 260 million SNPs have been detected in modern cultivars and landraces of wheat. This rapid SNP discovery was made possible through the release of near-complete reference and pan-genome assemblies of wheat and its wild relatives, coupled with whole genome sequencing (WGS) of thousands of wheat accessions. Further, genotyping customized SNP sites were facilitated by a series of arrays (9 to 820Ks), a cost effective substitute WGS. Lately, germplasm-specific SNP arrays have been introduced to characterize novel traits and detect closely linked SNPs for marker-assisted breeding. Subsequently, the kompetitive allele-specific PCR (KASP) assay was introduced for rapid and large-scale screening of specific SNP markers. Moreover, with the advances and reduction in sequencing costs, ample opportunities arise for generating SNPs artificially through mutations and in combination with next-generation sequencing and comparative genomic analyses. In this review, we provide historical developments and prospects of SNP markers in wheat breeding with special reference to rust resistance where over 50 genetic loci have been characterized through SNP markers. Rust resistance is one of the most essential traits for wheat breeding as new strains of the Puccinia fungus, responsible for rust diseases, evolve frequently and globally.
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Affiliation(s)
- Subramaniam Geethanjali
- Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India
- Centre for Crop Health, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia
| | - Palchamy Kadirvel
- Crop Improvement Section, Indian Council of Agricultural Research-Indian Institute of Oilseeds Research, Hyderabad, Telangana, 500030, India
| | - Sambasivam Periyannan
- Centre for Crop Health, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia.
- School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia.
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9
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Ren H, Zhang X, Zhang Y, Zhang Z, Cheng M, Zhang L, Zhang X, Li C, Duan J, Zhang C, Xiang M, Liu S, Jiang C, Zeng Q, Wu J, Kang Z, Yang Z, Li C, Huang S, Han D. Identification of Two Novel QTL for Fusarium Head Blight Resistance in German Wheat Cultivar Centrum. PLANT DISEASE 2024; 108:2462-2471. [PMID: 38537145 DOI: 10.1094/pdis-01-24-0135-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/28/2024]
Abstract
Fusarium head blight (FHB) is a devastating disease that occurs in warm and humid environments. The German wheat 'Centrum' has displayed moderate to high levels of FHB resistance in the field for many years. In this study, an F6:8 recombinant inbred line (RIL) population derived from cross 'Centrum' × 'Xinong 979' was evaluated for FHB response following point inoculation in five environments. The population and parents were genotyped using the GenoBaits Wheat 16 K Panel. Stable quantitative trait loci (QTL) associated with FHB resistance in 'Centrum' were mapped on chromosome arms 2DS and 5BS. The most effective QTL, located in 2DS, was identified as a new chromosome region represented by a 1.4 Mb interval containing 17 candidate genes. Another novel QTL was mapped in chromosome arm 5BS of a 5BS to 7BS translocation chromosome. In addition, two environmentally sensitive QTL were mapped on chromosome arms 2BL from 'Centrum' and 5AS from 'Xinong 979'. Polymorphisms of flanking phenotypic variance explained (PVE) markers (allele-specific quantitative PCR [AQP]) AQP-6 for QFhb.nwafu-2DS and 16K-13073 for QFhb.nwafu-5BS were validated in a panel of 217 cultivars and breeding lines. These markers could be useful for marker-assisted selection (MAS) of FHB resistance and provide a starting point for fine mapping and marker-based cloning of the resistance genes.
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Affiliation(s)
- Hui Ren
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Xin Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Yibo Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Ziyang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Muzi Cheng
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Lu Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
- National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, P.R. China
| | - Xiangxue Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Chunchun Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Jiangli Duan
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Chuanliang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Mingjie Xiang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Shengjie Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Chengzhi Jiang
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Zujun Yang
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China
| | - Chunlian Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Shuo Huang
- National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, P.R. China
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
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10
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Yu R, Cao X, Liu J, Nie R, Zhang C, Yuan M, Huang Y, Liu X, Zheng W, Wang C, Wu T, Su B, Kang Z, Zeng Q, Han D, Wu J. Using UAV-Based Temporal Spectral Indices to Dissect Changes in the Stay-Green Trait in Wheat. PLANT PHENOMICS (WASHINGTON, D.C.) 2024; 6:0171. [PMID: 38694449 PMCID: PMC11062509 DOI: 10.34133/plantphenomics.0171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 03/17/2024] [Indexed: 05/04/2024]
Abstract
Stay-green (SG) in wheat is a beneficial trait that increases yield and stress tolerance. However, conventional phenotyping techniques limited the understanding of its genetic basis. Spectral indices (SIs) as non-destructive tools to evaluate crop temporal senescence provide an alternative strategy. Here, we applied SIs to monitor the senescence dynamics of 565 diverse wheat accessions from anthesis to maturation stages over 2 field seasons. Four SIs (normalized difference vegetation index, green normalized difference vegetation index, normalized difference red edge index, and optimized soil-adjusted vegetation index) were normalized to develop relative stay-green scores (RSGS) as the SG indicators. An RSGS-based genome-wide association study identified 47 high-confidence quantitative trait loci (QTL) harboring 3,079 single-nucleotide polymorphisms associated with SG and 1,085 corresponding candidate genes. Among them, 15 QTL overlapped or were adjacent to known SG-related QTL/genes, while the remaining QTL were novel. Notably, a set of favorable haplotypes of SG-related candidate genes such as TraesCS2A03G1081100, TracesCS6B03G0356400, and TracesCS2B03G1299500 are increasing following the Green Revolution, further validating the feasibility of the pipeline. This study provided a valuable reference for further quantitative SG and genetic research in diverse wheat panels.
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Affiliation(s)
- Rui Yu
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiaofeng Cao
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jia Liu
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Ruiqi Nie
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chuanliang Zhang
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Meng Yuan
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yanchuan Huang
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xinzhe Liu
- College of Mechanical and Electronic Engineering,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Weijun Zheng
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Changfa Wang
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Tingting Wu
- College of Mechanical and Electronic Engineering,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Baofeng Su
- College of Mechanical and Electronic Engineering,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
- College of Plant Protection,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
- College of Plant Protection,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Dejun Han
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jianhui Wu
- College of Agronomy,
Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production,
Northwest A&F University, Yangling, Shaanxi 712100, China
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11
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Wang W, Jin P, Zhang J, Tang Y, Zhao B, Yue W, Cheng P, Li Q, Wang B. Favorable Loci Identified for Stripe Rust Resistance in Chinese Winter Wheat Accessions via Genome-Wide Association Study. PLANT DISEASE 2024; 108:71-81. [PMID: 37467133 DOI: 10.1094/pdis-12-22-2842-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
Stripe rust (or yellow rust), caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most devastating diseases of wheat worldwide. Currently, the utilization of resistant cultivars is the most viable way to reduce yield losses. In this study, a panel of 188 wheat accessions from China was evaluated for stripe rust resistance, and genome-wide association studies were performed using high-quality Diversity Arrays Technology markers. According to the phenotype and genotype data, a total of 26 significant marker-trait associations were identified, representing 18 quantitative trait loci (QTLs) on chromosomes 1B, 2A, 2B, 3A, 3B, 5A, 5B, 6B, 7B, and 7D. Of the 18 QTLs, almost all were associated with adult plant resistance (APR) except QYr.nwsuaf-6B.2, which was associated with all-stage resistance (also known as seedling resistance). Three of the 18 QTLs were mapped far from previously identified Pst resistance genes and QTLs and were considered potentially new loci. The other 15 QTLs were mapped close to known resistance genes and QTLs. Subsequent haplotype analysis for QYr.nwsuaf-2A and QYr.nwsuaf-7B.3 revealed the degrees of resistance of the panel in the APR stage. In summary, the favorable alleles identified in this study may be useful in breeding for disease resistance to stripe rust.
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Affiliation(s)
- Wenli Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Pengfei Jin
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
- Shaanxi Key Laboratory of Chinese Jujube, School of Life Science, Yan'an University, Shaanxi 716000, China
| | - Jia Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yaqi Tang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Bingjie Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Weiyun Yue
- Tianshui Institute of Agricultural Science, Tianshui 741000, China
| | - Peng Cheng
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qiang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Baotong Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
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12
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Laribi M, Fredua-Agyeman R, Ben M’Barek S, Sansaloni CP, Dreisigacker S, Gamba FM, Abdedayem W, Nefzaoui M, Araar C, Hwang SF, Yahyaoui AH, Strelkov SE. Genome-wide association analysis of tan spot disease resistance in durum wheat accessions from Tunisia. Front Genet 2023; 14:1231027. [PMID: 37946749 PMCID: PMC10631785 DOI: 10.3389/fgene.2023.1231027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/02/2023] [Indexed: 11/12/2023] Open
Abstract
Background: Tunisia harbors a rich collection of unexploited durum wheat landraces (Triticum durum ssp. durum) that have been gradually replaced by elite cultivars since the 1970s. These landraces represent an important potential source for broadening the genetic background of elite durum wheat cultivars and for the introgression of novel genes for key traits, including disease resistance, into these cultivars. Methods: In this study, single nucleotide polymorphism (SNP) markers were used to investigate the genetic diversity and population structure of a core collection of 235 durum wheat accessions consisting mainly of landraces. The high phenotypic and genetic diversity of the fungal pathogen Pyrenophora tritici-repentis (cause of tan spot disease of wheat) in Tunisia allowed the assessment of the accessions for tan spot resistance at the adult plant stage under field conditions over three cropping seasons. A genome-wide association study (GWAS) was performed using a 90k SNP array. Results: Bayesian population structure analysis with 9191 polymorphic SNP markers classified the accessions into two groups, where groups 1 and 2 included 49.79% and 31.49% of the accessions, respectively, while the remaining 18.72% were admixtures. Principal coordinate analysis, the unweighted pair group method with arithmetic mean and the neighbor-joining method clustered the accessions into three to five groups. Analysis of molecular variance indicated that 76% of the genetic variation was among individuals and 23% was between individuals. Genome-wide association analyses identified 26 SNPs associated with tan spot resistance and explained between 8.1% to 20.2% of the phenotypic variation. The SNPs were located on chromosomes 1B (1 SNP), 2B (4 SNPs), 3A (2 SNPs), 3B (2 SNPs), 4A (2 SNPs), 4B (1 SNP), 5A (2 SNPs), 5B (4 SNPs), 6A (5 SNPs), 6B (2 SNPs), and 7B (1 SNP). Four markers, one on each of chromosomes 1B, and 5A, and two on 5B, coincided with previously reported SNPs for tan spot resistance, while the remaining SNPs were either novel markers or closely related to previously reported SNPs. Eight durum wheat accessions were identified as possible novel sources of tan spot resistance that could be introgressed into elite cultivars. Conclusion: The results highlighted the significance of chromosomes 2B, 5B, and 6A as genomic regions associated with tan spot resistance.
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Affiliation(s)
- Marwa Laribi
- CRP Wheat Septoria Precision Phenotyping Platform, Tunis, Tunisia
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Rudolph Fredua-Agyeman
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Sarrah Ben M’Barek
- CRP Wheat Septoria Precision Phenotyping Platform, Tunis, Tunisia
- Regional Field Crops Research Center of Beja (CRRGC), Beja, Tunisia
| | | | | | | | - Wided Abdedayem
- CRP Wheat Septoria Precision Phenotyping Platform, Tunis, Tunisia
| | - Meriem Nefzaoui
- CRP Wheat Septoria Precision Phenotyping Platform, Tunis, Tunisia
| | - Chayma Araar
- CRP Wheat Septoria Precision Phenotyping Platform, Tunis, Tunisia
| | - Sheau-Fang Hwang
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Amor H. Yahyaoui
- CRP Wheat Septoria Precision Phenotyping Platform, Tunis, Tunisia
- Borlaug Training Foundation, Colorado State University, Fort Collins, CO, United States
| | - Stephen E. Strelkov
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
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13
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Yang X, Cai L, Wang M, Zhu W, Xu L, Wang Y, Zeng J, Fan X, Sha L, Wu D, Cheng Y, Zhang H, Jiang Y, Chen G, Zhou Y, Kang H. Genome-Wide Association Study of Asian and European Common Wheat Accessions for Yield-Related Traits and Stripe Rust Resistance. PLANT DISEASE 2023; 107:3085-3095. [PMID: 37079013 DOI: 10.1094/pdis-03-22-0702-re] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Identifying novel loci of yield-related traits and resistance to stripe rust (caused by Puccinia striiformis f. sp. tritici) in wheat will help in breeding wheat that can meet projected demands in diverse environmental and agricultural practices. We performed a genome-wide association study with 24,767 single nucleotide polymorphisms (SNPs) in 180 wheat accessions that originated in 16 Asian or European countries between latitudes 30°N and 45°N. We detected seven accessions with desirable yield-related traits and 42 accessions that showed stable, high degrees of stripe rust resistance in multienvironment field assessments. A marker-trait association analysis of yield-related traits detected 18 quantitative trait loci (QTLs) in at least two test environments and two QTLs related to stripe rust resistance in at least three test environments. Five of these QTLs were identified as potentially novel QTLs by comparing their physical locations with those of known QTLs in the Chinese Spring (CS) reference genome RefSeq v1.1 published by the International Wheat Genome Sequencing Consortium; two were for spike length, one was for grain number per spike, one was for spike number, and one was for stripe rust resistance at the adult plant stage. We also identified 14 candidate genes associated with the five novel QTLs. These QTLs and candidate genes will provide breeders with new germplasm and can be used to conduct marker-assisted selection in breeding wheat with improved yield and stripe rust resistance.
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Affiliation(s)
- Xiu Yang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Li Cai
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Miaomiao Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Wei Zhu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Lili Xu
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Yi Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Jian Zeng
- College of Resources, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Xing Fan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Lina Sha
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Dandan Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Yiran Cheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Haiqin Zhang
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Yunfeng Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Guoyue Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Yonghong Zhou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Houyang Kang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
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14
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Halladakeri P, Gudi S, Akhtar S, Singh G, Saini DK, Hilli HJ, Sakure A, Macwana S, Mir RR. Meta-analysis of the quantitative trait loci associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits in pigeonpea (Cajanus cajan L.). THE PLANT GENOME 2023; 16:e20342. [PMID: 37328945 DOI: 10.1002/tpg2.20342] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/25/2023] [Accepted: 03/28/2023] [Indexed: 06/18/2023]
Abstract
A meta-analysis of quantitative trait loci (QTLs), associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits was conducted for the first time in pigeonpea (Cajanus cajan L.). Data on 498 QTLs was collected from 9 linkage mapping studies (involving 21 biparental populations). Of these 498, 203 QTLs were projected onto "PigeonPea_ConsensusMap_2022," saturated with 10,522 markers, which resulted in the prediction of 34 meta-QTLs (MQTLs). The average confidence interval (CI) of these MQTLs (2.54 cM) was 3.37 times lower than the CI of the initial QTLs (8.56 cM). Of the 34 MQTLs, 12 high-confidence MQTLs with CI (≤5 cM) and a greater number of initial QTLs (≥5) were utilized to extract 2255 gene models, of which 105 were believed to be associated with different traits under study. Furthermore, eight of these MQTLs were observed to overlap with several marker-trait associations or significant SNPs identified in previous genome-wide association studies. Furthermore, synteny and ortho-MQTL analyses among pigeonpea and four related legumes crops, such as chickpea, pea, cowpea, and French bean, led to the identification of 117 orthologous genes from 20 MQTL regions. Markers associated with MQTLs can be employed for MQTL-assisted breeding as well as to improve the prediction accuracy of genomic selection in pigeonpea. Additionally, MQTLs may be subjected to fine mapping, and some of the promising candidate genes may serve as potential targets for positional cloning and functional analysis to elucidate the molecular mechanisms underlying the target traits.
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Affiliation(s)
- Priyanka Halladakeri
- Department of Genetics and Plant Breeding, Anand Agricultural University, Gujarat, India
| | - Santosh Gudi
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Sabina Akhtar
- College of Education, American University in the Emirates, Dubai, UAE
| | - Gurjeet Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Harshavardan J Hilli
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Amar Sakure
- Department of Agricultural Biotechnology, Anand Agricultural University, Gujarat, India
| | - Sneha Macwana
- Department of Genetics and Plant Breeding, Anand Agricultural University, Gujarat, India
| | - Reyazul Rouf Mir
- Division of Genetics and Plant Breeding, Faculty of Agriculture, SKUAST-Kashmir, Wadura, India
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15
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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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16
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Song C, Xie K, Hu X, Zhou Z, Liu A, Zhang Y, Du J, Jia J, Gao L, Mao H. Genome wide association and haplotype analyses for the crease depth trait in bread wheat ( Triticum aestivum L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1203253. [PMID: 37465391 PMCID: PMC10350514 DOI: 10.3389/fpls.2023.1203253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/14/2023] [Indexed: 07/20/2023]
Abstract
Wheat grain has a complex structure that includes a crease on one side, and tissues within the crease region play an important role in nutrient transportation during wheat grain development. However, the genetic architecture of the crease region is still unclear. In this study, 413 global wheat accessions were resequenced and a method was developed for evaluating the phenotypic data of crease depth (CD). The CD values exhibited continuous and considerable large variation in the population, and the broad-sense heritability was 84.09%. CD was found to be positively correlated with grain-related traits and negatively with quality-related traits. Analysis of differentiation of traits between landraces and cultivars revealed that grain-related traits and CD were simultaneously improved during breeding improvement. Moreover, 2,150.8-Mb genetic segments were identified to fall within the selective sweeps between the landraces and cultivars; they contained some known functional genes for quality- and grain-related traits. Genome-wide association study (GWAS) was performed using around 10 million SNPs generated by genome resequencing and 551 significant SNPs and 18 QTLs were detected significantly associated with CD. Combined with cluster analysis of gene expression, haplotype analysis, and annotated information of candidate genes, two promising genes TraesCS3D02G197700 and TraesCS5A02G292900 were identified to potentially regulate CD. To the best of our knowledge, this is the first study to provide the genetic basis of CD, and the genetic loci identified in this study may ultimately assist in wheat breeding programs.
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Affiliation(s)
- Chengxiang Song
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Kaidi Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xin Hu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Zhihua Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Ankui Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yuwei Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Jiale Du
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Jizeng Jia
- Institute of Crop Sciences, Chinese Academy of Agriculture Sciences, Beijing, China
| | - Lifeng Gao
- Institute of Crop Sciences, Chinese Academy of Agriculture Sciences, Beijing, China
| | - Hailiang Mao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
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17
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Lin M, Dieseth JA, Alsheikh M, Yang E, Holzapfel J, Schürmann F, Morales L, Michel S, Buerstmayr H, Bhavani S, Lillemo M. A major yellow rust resistance QTL on chromosome 6A shows increased frequency in recent Norwegian spring wheat cultivars and breeding lines. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:164. [PMID: 37392221 DOI: 10.1007/s00122-023-04397-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 05/29/2023] [Indexed: 07/03/2023]
Abstract
KEY MESSAGE A major yellow rust resistance QTL, QYr.nmbu.6A, contributed consistent adult plant resistance in field trials across Europe, China, Kenya and Mexico. Puccinia striiformis f. sp. tritici, causing wheat yellow rust (YR), is one of the most devastating biotrophic pathogens affecting global wheat yields. Owing to the recent epidemic of the PstS10 race group in Europe, yellow rust has become a reoccurring disease in Norway since 2014. As all stage resistances (ASR) (or seedling resistances) are usually easily overcome by pathogen evolution, deployment of durable adult plant resistance (APR) is crucial for yellow rust resistance breeding. In this study, we assessed a Nordic spring wheat association mapping panel (n = 301) for yellow rust field resistance in seventeen field trials from 2015 to 2021, including nine locations in six countries across four different continents. Nine consistent QTL were identified across continents by genome-wide association studies (GWAS). One robust QTL on the long arm of chromosome 6A, QYr.nmbu.6A, was consistently detected in nine out of the seventeen trials. Haplotype analysis of QYr.nmbu.6A confirmed significant QTL effects in all tested environments and the effect was also validated using an independent panel of new Norwegian breeding lines. Increased frequency of the resistant haplotype was found in new varieties and breeding lines in comparison to older varieties and landraces, implying that the resistance might have been selected for due to the recent changes in the yellow rust pathogen population in Europe.
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Affiliation(s)
- Min Lin
- Department of Plant Sciences, Norwegian University of Life Sciences, Post Box 5003, 1432, Ås, Norway
| | | | | | - Ennian Yang
- Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 610066, Sichuan, China
| | - Josef Holzapfel
- Secobra Saatzucht GmbH, Lagesche Str. 250, 32657, Lemgo, Germany
| | | | - Laura Morales
- Institute of Biotechnology in Plant Production, University of Natural Resources and Life Sciences Vienna, 3430, Tulln, Austria
| | - Sebastian Michel
- Institute of Biotechnology in Plant Production, University of Natural Resources and Life Sciences Vienna, 3430, Tulln, Austria
| | - Hermann Buerstmayr
- Institute of Biotechnology in Plant Production, University of Natural Resources and Life Sciences Vienna, 3430, Tulln, Austria
| | - Sridhar Bhavani
- International Maize and Wheat Improvement Center (CIMMYT), 56237 El Batan, Texcoco, Estado de Mexico, Mexico
| | - Morten Lillemo
- Department of Plant Sciences, Norwegian University of Life Sciences, Post Box 5003, 1432, Ås, Norway.
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18
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Ma J, Ren J, Yuan X, Yuan M, Zhang D, Li C, Zeng Q, Wu J, Han D, Jiang L. Genome-wide association study reveals the genetic variation and candidate gene for grain calcium content in bread wheat. PLANT CELL REPORTS 2023:10.1007/s00299-023-03036-3. [PMID: 37227494 DOI: 10.1007/s00299-023-03036-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/16/2023] [Indexed: 05/26/2023]
Abstract
KEY MESSAGE This study provides important information on the genetic basis of GCaC in wheat, thus contributing to breeding efforts to improve the nutrient quality of wheat. Calcium (Ca) plays important roles in the human body. Wheat grain provides the main diet for billions of people worldwide but is low in Ca content. Here, grain Ca content (GCaC) of 471 wheat accessions was determined in four field environments. A genome-wide association study (GWAS) was performed to reveal the genetic basis of GCaC using the phenotypic data form four environments and a wheat 660 K single nucleotide polymorphism (SNP) array. Twelve quantitative trait locus (QTLs) for GCaC were identified on chromosomes 1A, 1D, 2A, 3B, 6A, 6D, 7A, and 7D, which was significant in at least two environments. Haplotype analysis revealed that the phenotypic difference between the haplotypes of TraesCS6D01G399100 was significant (P ≤ 0.05) across four environments, suggesting it as an important candidate gene for GCaC. This research enhances our understanding of the genetic architecture of GCaC for further improving the nutrient quality of wheat.
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Affiliation(s)
- Jianhui Ma
- College of Life Science, Henan Normal University, Xinxiang, 453007, Henan, China.
| | - Jingjie Ren
- College of Life Science, Henan Normal University, Xinxiang, 453007, Henan, China
| | - Xuqing Yuan
- College of Life Science, Henan Normal University, Xinxiang, 453007, Henan, China
| | - Meng Yuan
- College of Life Science, Henan Normal University, Xinxiang, 453007, Henan, China
- State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Xianyang, 712100, Shanxi, China
| | - Daijing Zhang
- College of Life Science, Henan Normal University, Xinxiang, 453007, Henan, China
| | - Chunxi Li
- College of Life Science, Henan Normal University, Xinxiang, 453007, Henan, China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Xianyang, 712100, Shanxi, China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Xianyang, 712100, Shanxi, China
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Xianyang, 712100, Shanxi, China.
| | - Lina Jiang
- College of Life Science, Henan Normal University, Xinxiang, 453007, Henan, China.
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19
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Zheng Y, Wang J, Zhang X, Lei L, Yu R, Yao M, Han D, Zeng Q, Li X. Core root-associated prokaryotic community and its relationship to host traits across wheat varieties. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:2740-2753. [PMID: 36807675 DOI: 10.1093/jxb/erad066] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/17/2023] [Indexed: 06/06/2023]
Abstract
The root-associated microbiomes play important roles in plant growth. However, it is largely unknown how wheat variety evolutionary relatedness shapes each subcommunity in the root microbiome and, in turn, how these microbes affect wheat yield and quality. Here we studied the prokaryotic communities associated with the rhizosphere and root endosphere in 95 wheat varieties at regreening and heading stages. The results indicated that the less diverse but abundant core prokaryotic taxa occurred among all varieties. Among these core taxa, we identified 49 and 108 heritable amplicon sequence variants, whose variations in relative abundances across the root endosphere and rhizosphere samples were significantly affected by wheat variety. The significant correlations between phylogenetic distance of wheat varieties and prokaryotic community dissimilarity were only observed in non-core and abundant subcommunities in the endosphere samples. Again, wheat yield was only significantly associated with root endosphere microbiota at the heading stage. Additionally, wheat yield could be predicted using the total abundance of 94 prokaryotic taxa as an indicator. Our results demonstrated that the prokaryotic communities in the root endosphere had higher correlations with wheat yield and quality than those in the rhizosphere; thus, managing root endosphere microbiota, especially core taxa, through agronomic practices and crop breeding, is important for promoting wheat yield and quality.
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Affiliation(s)
- Yuyin Zheng
- Engineering Research Center of Soil Remediation of Fujian Province University; College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jialong Wang
- Engineering Research Center of Soil Remediation of Fujian Province University; College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xue Zhang
- Engineering Research Center of Soil Remediation of Fujian Province University; College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Li Lei
- Engineering Research Center of Soil Remediation of Fujian Province University; College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Rui Yu
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Minjie Yao
- Engineering Research Center of Soil Remediation of Fujian Province University; College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiangzhen Li
- Key Laboratory of Environmental and Applied Microbiology, CAS, Environmental Microbiology Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China
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20
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Liu Z, Zhao P, Lai X, Wang X, Ji W, Xu S. The selection and application of peduncle length QTL QPL_6D.1 in modern wheat (Triticum aestivum L.) breeding. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:32. [PMID: 36897424 DOI: 10.1007/s00122-023-04274-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 12/07/2022] [Indexed: 06/18/2023]
Abstract
QPL_6D.1b displayed an additive effect with Rht-B1b and Rht-D1b in reducing wheat plant height and peduncle length, which confers shorter peduncle length and more kernels per spike, and had been broadly selected by Chinese modern wheat cultivars. Peduncle length (PL), as the key component of wheat plant height (PH), plays critical role in determining wheat lodging resistance and wheat pathogen resistance; then, its breeding selection and genetic basis remain largely unclear. Here the PH and PL were investigated in 406 wheat accessions in eight environments. In this study, a PL preferentially QTL QPL_6D.1 was identified in six environments by GWAS, which explained 13.6-24.2% of wheat PL variations in natural population. The allele QPL_6D.1b displayed a significantly additive effect with Rht-B1b and Rht-D1b in controlling PH and PL and could freely combined with Rht-B1b and Rht-D1b in current wheat cultivars. Haplotypic analysis demonstrates the QPL_6D.1b has been selected by Chinese modern wheat cultivar and confers shorter PL and more kernels per spike, highlighting its potentials in wheat breeding.
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Affiliation(s)
- Zihui Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Peng Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Xiangjun Lai
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Xiaoming Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Wanquan Ji
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Shengbao Xu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China.
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21
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Ma J, Ye M, Liu Q, Yuan M, Zhang D, Li C, Zeng Q, Wu J, Han D, Jiang L. Genome-wide association study for grain zinc concentration in bread wheat ( Triticum aestivum L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1169858. [PMID: 37077637 PMCID: PMC10106671 DOI: 10.3389/fpls.2023.1169858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 03/22/2023] [Indexed: 05/03/2023]
Abstract
Introduction Zinc (Zn) deficiency causes serious diseases in people who rely on cereals as their main food source. However, the grain zinc concentration (GZnC) in wheat is low. Biofortification is a sustainable strategy for reducing human Zn deficiency. Methods In this study, we constructed a population of 382 wheat accessions and determined their GZnC in three field environments. Phenotype data was used for a genome-wide association study (GWAS) using a 660K single nucleotide polymorphism (SNP) array, and haplotype analysis identified an important candidate gene for GZnC. Results We found that GZnC of the wheat accessions showed an increasing trend with their released years, indicating that the dominant allele of GZnC was not lost during the breeding process. Nine stable quantitative trait loci (QTLs) for GZnC were identified on chromosomes 3A, 4A, 5B, 6D, and 7A. And an important candidate gene for GZnC, namely, TraesCS6D01G234600, and GZnC between the haplotypes of this gene showed, significant difference (P ≤ 0.05) in three environments. Discussion A novel QTL was first identified on chromosome 6D, this finding enriches our understanding of the genetic basis of GZnC in wheat. This study provides new insights into valuable markers and candidate genes for wheat biofortification to improve GZnC.
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Affiliation(s)
- Jianhui Ma
- College of Life Science, Henan Normal University, Xinxiang, China
- *Correspondence: Lina Jiang, ; Jianhui Ma, ; Dejun Han,
| | - Miaomiao Ye
- College of Life Science, Henan Normal University, Xinxiang, China
| | - Qianqian Liu
- College of Life Science, Henan Normal University, Xinxiang, China
| | - Meng Yuan
- College of Life Science, Henan Normal University, Xinxiang, China
- State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shanxi, China
| | - Daijing Zhang
- College of Life Science, Henan Normal University, Xinxiang, China
| | - Chunxi Li
- College of Life Science, Henan Normal University, Xinxiang, China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shanxi, China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shanxi, China
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shanxi, China
- *Correspondence: Lina Jiang, ; Jianhui Ma, ; Dejun Han,
| | - Lina Jiang
- College of Life Science, Henan Normal University, Xinxiang, China
- *Correspondence: Lina Jiang, ; Jianhui Ma, ; Dejun Han,
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22
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Wang T, Su N, Lu J, Zhang R, Sun X, Weining S. Genome-wide association studies of peduncle length in wheat under rain-fed and irrigating field conditions. JOURNAL OF PLANT PHYSIOLOGY 2023; 280:153854. [PMID: 36413900 DOI: 10.1016/j.jplph.2022.153854] [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: 07/07/2022] [Revised: 09/29/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
Drought is one of the most destructive environmental factors limiting wheat production and food security globally. Peduncle length (PLE) is an important morphological trait to determine plant architecture, photosynthate transport, and yield formation, which is also considered a useful index for drought tolerance in wheat. However, the genetic basis of wheat PLE is not well studied at present. Here, a large-scale genome-wide association study (GWAS) of PLE was performed using a panel of 282 wheat accessions with the Wheat 660K SNP array genotyping under rain-fed and irrigating field conditions. Totally, 1,301 significant marker-trait associations (MTAs) were identified using the threshold of p-value < 4.16 × 10-4, five of which were high-confidence. Furthermore, combining GWAS intervals, previously reported QTLs, expression levels, homologous genes, and selected sweep analysis, a total of 5 candidate genes were detected to associate with drought stress. Moreover, the expression levels of TraesCS2A02G082100 were significantly up-regulated under drought conditions and co-localized in the selected sweep region, suggesting it is a drought-responsive gene. Our results shed light on the genetic basis underlying wheat drought tolerance, which accelerates the marker-assistant selection and genetic improvement through genomic breeding in wheat.
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Affiliation(s)
- Tingting Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Xianyang, 712100, China.
| | - Ning Su
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Xianyang, 712100, China.
| | - Jianan Lu
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Xianyang, 712100, China.
| | - Ruipu Zhang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Xianyang, 712100, China.
| | - Xuming Sun
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Xianyang, 712100, China.
| | - Song Weining
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Xianyang, 712100, China.
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Gangurde SS, Xavier A, Naik YD, Jha UC, Rangari SK, Kumar R, Reddy MSS, Channale S, Elango D, Mir RR, Zwart R, Laxuman C, Sudini HK, Pandey MK, Punnuri S, Mendu V, Reddy UK, Guo B, Gangarao NVPR, Sharma VK, Wang X, Zhao C, Thudi M. Two decades of association mapping: Insights on disease resistance in major crops. FRONTIERS IN PLANT SCIENCE 2022; 13:1064059. [PMID: 37082513 PMCID: PMC10112529 DOI: 10.3389/fpls.2022.1064059] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 11/10/2022] [Indexed: 05/03/2023]
Abstract
Climate change across the globe has an impact on the occurrence, prevalence, and severity of plant diseases. About 30% of yield losses in major crops are due to plant diseases; emerging diseases are likely to worsen the sustainable production in the coming years. Plant diseases have led to increased hunger and mass migration of human populations in the past, thus a serious threat to global food security. Equipping the modern varieties/hybrids with enhanced genetic resistance is the most economic, sustainable and environmentally friendly solution. Plant geneticists have done tremendous work in identifying stable resistance in primary genepools and many times other than primary genepools to breed resistant varieties in different major crops. Over the last two decades, the availability of crop and pathogen genomes due to advances in next generation sequencing technologies improved our understanding of trait genetics using different approaches. Genome-wide association studies have been effectively used to identify candidate genes and map loci associated with different diseases in crop plants. In this review, we highlight successful examples for the discovery of resistance genes to many important diseases. In addition, major developments in association studies, statistical models and bioinformatic tools that improve the power, resolution and the efficiency of identifying marker-trait associations. Overall this review provides comprehensive insights into the two decades of advances in GWAS studies and discusses the challenges and opportunities this research area provides for breeding resistant varieties.
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Affiliation(s)
- Sunil S. Gangurde
- Crop Genetics and Breeding Research, United States Department of Agriculture (USDA) - Agriculture Research Service (ARS), Tifton, GA, United States
- Department of Plant Pathology, University of Georgia, Tifton, GA, United States
| | - Alencar Xavier
- Department of Agronomy, Purdue University, West Lafayette, IN, United States
| | | | - Uday Chand Jha
- Indian Council of Agricultural Research (ICAR), Indian Institute of Pulses Research (IIPR), Kanpur, Uttar Pradesh, India
| | | | - Raj Kumar
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - M. S. Sai Reddy
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - Sonal Channale
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
| | - Dinakaran Elango
- Department of Agronomy, Iowa State University, Ames, IA, United States
| | - Reyazul Rouf Mir
- Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST), Sopore, India
| | - Rebecca Zwart
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
| | - C. Laxuman
- Zonal Agricultural Research Station (ZARS), Kalaburagi, University of Agricultural Sciences, Raichur, Karnataka, India
| | - Hari Kishan Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Manish K. Pandey
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Somashekhar Punnuri
- College of Agriculture, Family Sciences and Technology, Dr. Fort Valley State University, Fort Valley, GA, United States
| | - Venugopal Mendu
- Department of Plant Science and Plant Pathology, Montana State University, Bozeman, MT, United States
| | - Umesh K. Reddy
- Department of Biology, West Virginia State University, West Virginia, WV, United States
| | - Baozhu Guo
- Crop Genetics and Breeding Research, United States Department of Agriculture (USDA) - Agriculture Research Service (ARS), Tifton, GA, United States
| | | | - Vinay K. Sharma
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
| | - Xingjun Wang
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
| | - Mahendar Thudi
- Dr. Rajendra Prasad Central Agricultural University (RPCAU), Bihar, India
- Crop Health Center, University of Southern Queensland (USQ), Toowoomba, QLD, Australia
- Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences (SAAS), Jinan, China
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Chen C, Hao W, Wu J, Si H, Xia X, Ma C. Fine Mapping of Stripe-Rust-Resistance Gene YrJ22 in Common Wheat by BSR-Seq and MutMap-Based Sequencing. PLANTS (BASEL, SWITZERLAND) 2022; 11:3244. [PMID: 36501284 PMCID: PMC9740260 DOI: 10.3390/plants11233244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/16/2022] [Accepted: 11/22/2022] [Indexed: 06/17/2023]
Abstract
Identification and accurate mapping of new resistance genes are essential for gene pyramiding in wheat breeding. The YrJ22 gene is a dominant stripe-rust-resistance gene located at the distal end of chromosome 2AL, which was identified in a leading Chinese-wheat variety, Jimai 22, showing high resistance to CYR32, a prevalent race of Puccinia striiformis tritici (Pst) in China. In the current study, 15 F1 and 2273 F2 plants derived from the cross of Jimai 22/Avocet S were used for the fine-mapping of YrJ22. The RNA-Seq of resistant and susceptible bulks of F2 plants (designated BSR-Seq) identified 10 single-nucleotide polymorphisms (SNP) in a 12.09 Mb physical interval on chromosome 2AL. A total of 1022 EMS-induced M3 lines of Jimai 22 were screened, to identify susceptible mutants for MutMap analysis. Four CAPS markers were developed from SNPs identified using BSR-Seq and MutMap. A linkage map for YrJ22 was constructed with 11 CAPS/STS and three SSR markers. YrJ22 was located at a 0.9 cM genetic interval flanked by markers H736 and H400, corresponding to a 340.46 kb physical region (768.7-769.0 Mb), including 13 high-confidence genes based on the Chinese Spring reference genome. TraesCS2A01G573200 is a potential candidate-gene, according to linkage and quantitative real-time PCR (qPCR) analyses. The CAPS marker H732 designed from an SNP in TraesCS2A01G573200 co-segregated with YrJ22. These results provide a useful stripe-rust-resistance gene and molecular markers for marker-assisted selection in wheat breeding and for further cloning of the gene.
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Affiliation(s)
- Can Chen
- Laboratory of Wheat Breeding, College of Agronomy, Anhui Agricultural University, Hefei 230036, China
- Key Laboratory of Wheat Biology and Genetic Improvement on Southern Yellow & Huai River Valley, Ministry of Agriculture and Rural Affairs, Hefei 230036, China
| | - Weihao Hao
- Laboratory of Wheat Breeding, College of Agronomy, Anhui Agricultural University, Hefei 230036, China
- Key Laboratory of Wheat Biology and Genetic Improvement on Southern Yellow & Huai River Valley, Ministry of Agriculture and Rural Affairs, Hefei 230036, China
| | - Jingchun Wu
- Laboratory of Wheat Breeding, College of Agronomy, Anhui Agricultural University, Hefei 230036, China
- National United Engineering Laboratory for Crop Stress Resistance Breeding, Hefei 230036, China
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing 100081, China
| | - Hongqi Si
- Laboratory of Wheat Breeding, College of Agronomy, Anhui Agricultural University, Hefei 230036, China
- Key Laboratory of Wheat Biology and Genetic Improvement on Southern Yellow & Huai River Valley, Ministry of Agriculture and Rural Affairs, Hefei 230036, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing 100081, China
| | - Chuanxi Ma
- Laboratory of Wheat Breeding, College of Agronomy, Anhui Agricultural University, Hefei 230036, China
- Key Laboratory of Wheat Biology and Genetic Improvement on Southern Yellow & Huai River Valley, Ministry of Agriculture and Rural Affairs, Hefei 230036, China
- National United Engineering Laboratory for Crop Stress Resistance Breeding, Hefei 230036, China
- Anhui Key Laboratory of Crop Biology, Anhui Agricultural University, Hefei 230036, China
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25
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Mei F, Chen B, Du L, Li S, Zhu D, Chen N, Zhang Y, Li F, Wang Z, Cheng X, Ding L, Kang Z, Mao H. A gain-of-function allele of a DREB transcription factor gene ameliorates drought tolerance in wheat. THE PLANT CELL 2022; 34:4472-4494. [PMID: 35959993 PMCID: PMC9614454 DOI: 10.1093/plcell/koac248] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 08/04/2022] [Indexed: 05/13/2023]
Abstract
Drought is a major environmental factor limiting wheat production worldwide. However, the genetic components underlying wheat drought tolerance are largely unknown. Here, we identify a DREB transcription factor gene (TaDTG6-B) by genome-wide association study that is tightly associated with drought tolerance in wheat. Candidate gene association analysis revealed that a 26-bp deletion in the TaDTG6-B coding region induces a gain-of-function for TaDTG6-BDel574, which exhibits stronger transcriptional activation, protein interactions, and binding activity to dehydration-responsive elements (DRE)/CRT cis-elements than the TaDTG6-BIn574 encoded by the allele lacking the deletion, thus conferring greater drought tolerance in wheat seedlings harboring this variant. Knockdown of TaDTG6-BDel574 transcripts attenuated drought tolerance in transgenic wheat, whereas its overexpression resulted in enhanced drought tolerance without accompanying phenotypic abnormalities. Furthermore, the introgression of the TaDTG6-BDel574 elite allele into drought-sensitive cultivars improved their drought tolerance, thus providing a valuable genetic resource for wheat breeding. We also identified 268 putative target genes that are directly bound and transcriptionally regulated by TaDTG6-BDel574. Further analysis showed that TaDTG6-BDel574 positively regulates TaPIF1 transcription to enhance wheat drought tolerance. These results describe the genetic basis and accompanying mechanism driving phenotypic variation in wheat drought tolerance, and provide a novel genetic resource for crop breeding programs.
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Affiliation(s)
- Fangming Mei
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Bin Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Linying Du
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Science, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Shumin Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Dehe Zhu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Nan Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yifang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Fangfang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhongxue Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xinxiu Cheng
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Li Ding
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Biology for Arid Areas, Pioneering Innovation Center for Wheat Stress Tolerance Improvement, Yangling, Shaanxi 712100, China
- Yangling Seed Industry Innovation Center, Yangling, Shaanxi 712100, China
| | - Hude Mao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
- State Key Laboratory of Crop Stress Biology for Arid Areas, Pioneering Innovation Center for Wheat Stress Tolerance Improvement, Yangling, Shaanxi 712100, China
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26
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Du B, Wu J, Islam MS, Sun C, Lu B, Wei P, Liu D, Chen C. Genome-wide meta-analysis of QTL for morphological related traits of flag leaf in bread wheat. PLoS One 2022; 17:e0276602. [PMID: 36279291 PMCID: PMC9591062 DOI: 10.1371/journal.pone.0276602] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 10/11/2022] [Indexed: 11/05/2022] Open
Abstract
Flag leaf is an important organ for photosynthesis of wheat plants, and a key factor affecting wheat yield. In this study, quantitative trait loci (QTL) for flag leaf morphological traits in wheat reported since 2010 were collected to investigate the genetic mechanism of these traits. Integration of 304 QTLs from various mapping populations into a high-density consensus map composed of various types of molecular markers as well as QTL meta-analysis discovered 55 meta-QTLs (MQTL) controlling morphological traits of flag leaves, of which 10 MQTLs were confirmed by GWAS. Four high-confidence MQTLs (MQTL-1, MQTL-11, MQTL-13, and MQTL-52) were screened out from 55 MQTLs, with an average confidence interval of 0.82 cM and a physical distance of 9.4 Mb, according to the definition of hcMQTL. Ten wheat orthologs from rice (7) and Arabidopsis (3) that regulated leaf angle, development and morphogenesis traits were identified in the hcMQTL region using comparative genomics, and were speculated to be potential candidate genes regulating flag leaf morphological traits in wheat. The results from this study provides valuable information for fine mapping and molecular markers assisted selection to improve morphological characters in wheat flag leaf.
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Affiliation(s)
- Binbin Du
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Jia Wu
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Md. Samiul Islam
- Department of Plant Pathology, College of Plant Science and Technology and the Key Lab of Crop Disease Monitoring & Safety Control in Hubei Province, Huazhong Agricultural University, Wuhan, China
| | - Chaoyue Sun
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Baowei Lu
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Peipei Wei
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Dong Liu
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Cunwu Chen
- College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu’an, China
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Liu Q, Zhang W, Jiao R, Lv Z, Lin X, Xiao Y, Zhang K. Rational Nanomedicine Design Enhances Clinically Physical Treatment-Inspired or Combined Immunotherapy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203921. [PMID: 36002305 PMCID: PMC9561875 DOI: 10.1002/advs.202203921] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/03/2022] [Indexed: 05/19/2023]
Abstract
Independent of tumor type and non-invasive or minimally-invasive feature, current physical treatments including ultrasound therapy, microwave ablation (MWA), and radiofrequency ablation (RFA) are widely used as the local treatment methods in clinics for directly killing tumors and activating systematic immune responses. However, the activated immune responses are inadequate and incompetent for tumor recession, and the incomplete thermal ablation even aggravates the immunosuppressive tumor microenvironment (ITM), resulting in the intractable tumor recurrence and metastasis. Intriguingly, nanomedicine provides a powerful platform as they can elevate energy utilization efficiency and augment oncolytic effects for mitigating ITM and potentiating the systematic immune responses. Especially after combining with clinical immunotherapy, the anti-tumor killing effect by activating or enhancing the human anti-tumor immune system is reached, enabling the effective prevention against tumor recurrence and metastasis. This review systematically introduces the cutting-edge progress and direction of nanobiotechnologies and their corresponding nanomaterials. Moreover, the enhanced physical treatment efficiency against tumor progression, relapse, and metastasis via activating or potentiating the autologous immunity or combining with exogenous immunotherapeutic agents is exemplified, and their rationales are analyzed. This review offers general guidance or directions to enhance clinical physical treatment from the perspectives of immunity activation or magnification.
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Affiliation(s)
- Qiaoqiao Liu
- Department of RadiologyLiuzhou People's Hospital Affiliated to Guangxi Medical UniversityNo. 8 Wenchang RoadLiuzhou545006P. R. China
- Central LaboratoryShanghai Tenth People's HospitalTongji University School of MedicineShanghai200072P. R. China
- National Center for International Research of Bio‐targeting TheranosticsGuangxi Key Laboratory of Bio‐targeting TheranosticsGuangxi Medical UniversityNo. 22 Shuangyong Road 22Nanning530021P. R. China
| | - Wei Zhang
- Department of RadiologyLiuzhou People's Hospital Affiliated to Guangxi Medical UniversityNo. 8 Wenchang RoadLiuzhou545006P. R. China
| | - Rong Jiao
- National Center for International Research of Bio‐targeting TheranosticsGuangxi Key Laboratory of Bio‐targeting TheranosticsGuangxi Medical UniversityNo. 22 Shuangyong Road 22Nanning530021P. R. China
| | - Zheng Lv
- Department of RadiologyLiuzhou People's Hospital Affiliated to Guangxi Medical UniversityNo. 8 Wenchang RoadLiuzhou545006P. R. China
- Central LaboratoryShanghai Tenth People's HospitalTongji University School of MedicineShanghai200072P. R. China
| | - Xia Lin
- National Center for International Research of Bio‐targeting TheranosticsGuangxi Key Laboratory of Bio‐targeting TheranosticsGuangxi Medical UniversityNo. 22 Shuangyong Road 22Nanning530021P. R. China
| | - Yunping Xiao
- Department of RadiologyLiuzhou People's Hospital Affiliated to Guangxi Medical UniversityNo. 8 Wenchang RoadLiuzhou545006P. R. China
| | - Kun Zhang
- Department of RadiologyLiuzhou People's Hospital Affiliated to Guangxi Medical UniversityNo. 8 Wenchang RoadLiuzhou545006P. R. China
- Central LaboratoryShanghai Tenth People's HospitalTongji University School of MedicineShanghai200072P. R. China
- National Center for International Research of Bio‐targeting TheranosticsGuangxi Key Laboratory of Bio‐targeting TheranosticsGuangxi Medical UniversityNo. 22 Shuangyong Road 22Nanning530021P. R. China
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28
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Yang G, Deng P, Guo Q, Shi T, Pan W, Cui L, Liu X, Nie X. Population transcriptomic analysis identifies the comprehensive lncRNAs landscape of spike in wheat (Triticum aestivum L.). BMC PLANT BIOLOGY 2022; 22:450. [PMID: 36127641 PMCID: PMC9490906 DOI: 10.1186/s12870-022-03828-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Long noncoding RNAs (lncRNAs) are emerging as the important regulators involving in growth and development as well as stress response in plants. However, current lncRNA studies were mainly performed at the individual level and the significance of it is not well understood in wheat. RESULTS In this study, the lncRNA landscape of wheat spike was characterized through analysing a total of 186 spike RNA-seq datasets from 93 wheat genotypes. A total of 35,913 lncRNAs as well as 1,619 lncRNA-mRNA pairs comprised of 443 lncRNAs and 464 mRNAs were obtained. Compared to coding genes, these lncRNAs displayed rather low conservation among wheat and other gramineous species. Based on re-sequencing data, the genetic variations of these lncRNA were investigated and obvious genetic bottleneck were found on them during wheat domestication process. Furthermore, 122 lncRNAs were found to act as ceRNA to regulate endogenous competition. Finally, association and co-localization analysis of the candidate lncRNA-mRNA pairs identified 170 lncRNAs and 167 target mRNAs significantly associated with spike-related traits, including lncRNA.127690.1/TraesCS2A02G518500.1 (PMEI) and lncRNA.104854.1/TraesCS6A02G050300.1 (ATG5) associated with heading date and spike length, respectively. CONCLUSIONS This study reported the lncRNA landscape of wheat spike through the population transcriptome analysis, which not only contribute to better understand the wheat evolution from the perspective of lncRNA, but also lay the foundation for revealing roles of lncRNA playing in spike development.
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Affiliation(s)
- Guang Yang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Pingchuan Deng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Qifan Guo
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Tingrui Shi
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Wenqiu Pan
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Licao Cui
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - Xiaoqin Liu
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261325, Shandong, China.
| | - Xiaojun Nie
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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29
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Li S, Yu S, Zhang Y, Zhu D, Li F, Chen B, Mei F, Du L, Ding L, Chen L, Song J, Kang Z, Mao H. Genome-wide association study revealed TaHXK3-2A as a candidate gene controlling stomatal index in wheat seedlings. PLANT, CELL & ENVIRONMENT 2022; 45:2306-2323. [PMID: 35545896 DOI: 10.1111/pce.14342] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 12/01/2021] [Accepted: 12/01/2021] [Indexed: 06/15/2023]
Abstract
Stomata are important channels for the control of gas exchange between plants and the atmosphere. To examine the genetic architecture of wheat stomatal index, we performed a genome-wide association study (GWAS) using a panel of 539 wheat accessions and 450 678 polymorphic single nucleotide polymorphisms (SNPs) that were detected using wheat-specific 660K SNP array. A total of 130 SNPs were detected to be significantly associated with stomatal index in both leaf surfaces of wheat seedlings. These significant SNPs were distributed across 16 chromosomes and involved 2625 candidate genes which participate in stress response, metabolism and cell/organ development. Subsequent bulk segregant analysis (BSA), combined with GWAS identified one major haplotype on chromosome 2A, that is responsible for stomatal index on the abaxial leaf surface. Candidate gene association analysis revealed that genetic variation in the promoter region of the hexokinase gene TaHXK3-2A was significantly associated with the stomatal index. Moreover, transgenic analysis confirmed that TaHXK3-2A overexpression in wheat decreased the size of leaf pavement cells but increased stomatal density through the glucose metabolic pathway, resulting in drought sensitivity among TaHXK3-2A transgenic lines due to an increased transpiration rate. Taken together, these results provide valuable insights into the genetic control of the stomatal index in wheat seedlings.
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Affiliation(s)
- Shumin Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
| | - Shizhou Yu
- Molecular Genetics Key Laboratory of China Tobacco, Guizhou Academy of Tobacco Science, Guiyang, Guizhou, China
| | - Yifang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
| | - Dehe Zhu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
| | - Fangfang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
| | - Bin Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
| | - Fangming Mei
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
| | - Linying Du
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Science, Northwest A&F University, Yangling, Shaanxi, China
| | - Li Ding
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
| | - Lei Chen
- School of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Jiancheng Song
- School of Life Sciences, Yantai University, Yantai, Shandong, China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
| | - Hude Mao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, China
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30
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Huang S, Zhang Y, Ren H, Li X, Zhang X, Zhang Z, Zhang C, Liu S, Wang X, Zeng Q, Wang Q, Singh RP, Bhavani S, Wu J, Han D, Kang Z. Epistatic interaction effect between chromosome 1BL (Yr29) and a novel locus on 2AL facilitating resistance to stripe rust in Chinese wheat Changwu 357-9. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:2501-2513. [PMID: 35723707 DOI: 10.1007/s00122-022-04133-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
Four stable QTL for adult plant resistance were identified in wheat line Changwu 357-9, including a new QTL on 2AL showing significant interaction with Yr29 to reduce stripe rust severity. Stripe rust (yellow rust) is a serious disease of bread wheat (Triticum aestivum L.) worldwide. Genetic resistance is considered the most economical, effective and environmentally friendly method to control the disease and to minimize the use of fungicides. The current study focused on characterizing the components of stripe rust resistance and understanding the interactions in Changwu 357-9 (CW357-9)/Avocet S RIL population. A genetic linkage map constructed using a new GenoBaits Wheat 16K Panel and the 660K SNP array had 5104 polymorphic SNP markers spanning 3533.11 cM. Four stable QTL, consistently identified across five environments, were detected on chromosome arms 1BL, 2AL, 3DS, and 6BS in Changwu357-9. The most effective QTL QYrCW357-1BL was Yr29. The 6BS QTL was identified as Yr78, which has been combined with the 1BL QTL in many wheat cultivars and breeding lines. The novel QTL on 2AL with moderate effect showed a stable and significant epistatic interaction with Yr29. The QTL on 3DL should be same as QYrsn.nwafu-3DL and enriches the overall stripe rust resistance gene pool for breeding. Polymorphisms of flanking AQP markers AX-110020417 (for QYrCW357-1BL), AX-110974948 (for QYrCW357-2AL), AX-109466386 (for QYrCW357-3DL), and AX-109995005 (for QYrCW357-6BS) were evaluated in a diversity panel including 225 wheat cultivars and breeding lines. These results suggested that these high-throughput markers could be used to introduce QYrCW357-1BL, QYrCW357-2AL, QYrCW357-3DL, and QYrCW357-6BS into commercial wheat cultivars. Combinations of these genes with other APR QTL should lead to higher levels of stripe rust resistance along with the beneficial effects of multi-disease resistance gene Yr29 on improving resistance to other diseases.
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Affiliation(s)
- Shuo Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Yibo Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Hui Ren
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xiang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xin Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Zeyuan Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Chuanliang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Shengjie Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xiaoting Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Qilin Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Ravi P Singh
- International Maize and Wheat Improvement Center (CIMMYT), 56237, El Batan, Texcoco, Estado de Mexico, Mexico
| | - Sridhar Bhavani
- International Maize and Wheat Improvement Center (CIMMYT), 56237, El Batan, Texcoco, Estado de Mexico, Mexico
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
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Tehseen MM, Tonk FA, Tosun M, Randhawa HS, Kurtulus E, Ozseven I, Akin B, Nur Zulfuagaoglu O, Nazari K. QTL Mapping of Adult Plant Resistance to Stripe Rust in a Doubled Haploid Wheat Population. Front Genet 2022; 13:900558. [PMID: 35646084 PMCID: PMC9131033 DOI: 10.3389/fgene.2022.900558] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 04/13/2022] [Indexed: 12/20/2022] Open
Abstract
Stripe rust caused by Puccinia striiformis Westend. f. sp. tritici. is a major bread wheat disease worldwide with yield losses of up to 100% under severe disease pressure. The deployment of resistant cultivars with adult plant resistance to the disease provides a long-term solution to stripe rust of wheat. An advanced line from the International Winter Wheat Improvement Program (IWWIP) 130675 (Avd/Vee#1//1-27-6275/Cf 1770/3/MV171-C-17466) showed a high level of adult plant resistance to stripe rust in the field. To identify the adult plant resistance genes in this elite line, a mapping population of 190 doubled haploid (DH) lines was developed from a cross between line 130675 and the universal stripe rust-susceptible variety Avocet S. The DH population was evaluated at precision wheat stripe rust phenotyping platform, in Izmir during 2019, 2020, and 2021 cropping seasons under artificial inoculations. Composite interval mapping (CIM) identified two stable QTLs QYr.rcrrc-3B.1, and QYr.rcrrc-3B.2, which were detected in multiple years. In addition to these two QTLs, five more QTLs, QYr.rcrrc-1B, QYr.rcrrc-2A, QYr.rcrrc-3A, QYr.rcrrc-5A, and QYr.rcrrc-7D, were identified, which were specific to the cropping year (environment). All QTLs were derived from the resistant parent, except QYr.rcrrc-3A. The significant QTLs explained 3.4-20.6% of the phenotypic variance. SNP markers flanking the QTL regions can be amenable to marker-assisted selection. The best DH lines with high yield, end-use quality, and stripe rust resistance can be used for further selection for improved germplasm. SNP markers flanking the QTL regions can aid in identifying such lines.
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Affiliation(s)
| | | | - Muzaffer Tosun
- Department of Field Crops, Ege University, Izmir, Turkey
| | | | - Ezgi Kurtulus
- Turkey-ICARDA Regional Cereal Rust Research Center (RCRRC), Izmir, Turkey
| | - Izzet Ozseven
- Agean Agricultural Research Institute, Regional Cereal Rust Research Center (RCRRC), Izmir, Turkey
| | - Behyan Akin
- International Maize and Wheat Improvement Center (IWWIP-Turkey), Ankara, Turkey
| | | | - Kumarse Nazari
- Turkey-ICARDA Regional Cereal Rust Research Center (RCRRC), Izmir, Turkey
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32
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Ma J, Qi S, Yuan M, Zhao D, Zhang D, Feng J, Wang J, Li W, Song C, Wang T, Zeng Q, Wu J, Han D, Jiang L. A genome-wide association study revealed the genetic variation and candidate genes for grain copper content in bread wheat ( Triticum aestivum L.). Food Funct 2022; 13:5177-5188. [PMID: 35437565 DOI: 10.1039/d1fo04173h] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
As an essential microelement, copper plays a crucial role in the human body. However, the grains of bread wheat, a major crop food, contain a low copper content. Here, a diversity panel of 443 wheat accessions cultivated in four environments was used to analyse grain copper content by ICAP-7000, and the genetic variation in grain copper content was examined using a 660 K single nucleotide polymorphism chip. Phenotypic analysis indicated that the grain copper content varied between 2.58 mg kg-1 and 13.65 mg kg-1. A genome-wide association study identified 12 QTLs associated with grain copper content that showed significance in at least two environments on chromosomes 1A, 1D, 3D, 4A, 5A, 5D, 6B, 6D, 7A and 7D. Through haplotype analysis, the phenotypic difference between the haplotypes of three genes, TraesCS5D01G282300, TraesCS6B01G052900 and TraesCS7D01G146600, showed significance (P ⩽ 0.05) in four environments. They were considered to be important candidate genes for grain copper content in wheat. In addition, we detected that the grain copper content gradually decreased with release years among wheat accessions in China, and the percentage of favourable alleles showed a similar trend. Analysing the changes in grain copper content with yield factors, we found that the dilute effect was mainly caused by thousand kernel weight. This study provides useful information on the genetic basis for grain copper content, and thus helps in improving the wheat grain quality.
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Affiliation(s)
- Jianhui Ma
- College of Life Science, Henan Normal University, Xinxiang 453007, Henan, People's Republic of China.
| | - Siyuan Qi
- College of Life Science, Henan Normal University, Xinxiang 453007, Henan, People's Republic of China.
| | - Meng Yuan
- College of Life Science, Henan Normal University, Xinxiang 453007, Henan, People's Republic of China. .,State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Xianyang, 712100, Shaanxi, People's Republic of China.
| | - Dongyang Zhao
- College of Life Science, Henan Normal University, Xinxiang 453007, Henan, People's Republic of China.
| | - Daijing Zhang
- College of Life Science, Henan Normal University, Xinxiang 453007, Henan, People's Republic of China.
| | - Jinyuan Feng
- College of Life Science, Henan Normal University, Xinxiang 453007, Henan, People's Republic of China.
| | - Jianing Wang
- College of Life Science, Henan Normal University, Xinxiang 453007, Henan, People's Republic of China.
| | - Wei Li
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, People's Republic of China
| | - Chengxiang Song
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, People's Republic of China
| | - Tianlin Wang
- Henan Engineering Technology Research Center of Food Processing and Circulation Safety Control, College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, Henan, People's Republic of China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Xianyang, 712100, Shaanxi, People's Republic of China.
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Xianyang, 712100, Shaanxi, People's Republic of China.
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Xianyang, 712100, Shaanxi, People's Republic of China.
| | - Lina Jiang
- College of Life Science, Henan Normal University, Xinxiang 453007, Henan, People's Republic of China.
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Gudi S, Saini DK, Singh G, Halladakeri P, Kumar P, Shamshad M, Tanin MJ, Singh S, Sharma A. Unravelling consensus genomic regions associated with quality traits in wheat using meta-analysis of quantitative trait loci. PLANTA 2022; 255:115. [PMID: 35508739 DOI: 10.1007/s00425-022-03904-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/26/2022] [Indexed: 05/03/2023]
Abstract
Meta-analysis in wheat for three major quality traits identified 110 meta-QTL (MQTL) with reduced confidence interval (CI). Five GWAS validated MQTL (viz., 1A.1, 1B.2, 3B.4, 5B.2, and 6B.2), each involving more than 20 initial QTL and reduced CI (95%) (< 2 cM), were selected for quality breeding programmes. Functional characterization including candidate gene mining and expression analysis discovered 44 high confidence candidate genes associated with quality traits. A meta-analysis of quantitative trait loci (QTL) associated with dough rheology properties, nutritional traits, and processing quality traits was conducted in wheat. For this purpose, as many as 2458 QTL were collected from 50 interval mapping studies published during 2013-2020. Of the total QTL, 1126 QTL were projected onto the consensus map saturated with 249,603 markers which led to the identification of 110 meta-QTL (MQTL). These MQTL exhibited an 18.84-fold reduction in the average CI compared to the average CI of the initial QTL (ranging from 14.87 to 95.55 cM with an average of 40.35 cM). Of the 110, 108 MQTL were physically anchored to the wheat reference genome, including 51 MQTL verified with marker-trait associations (MTAs) reported from earlier genome-wide association studies. Candidate gene (CG) mining allowed the identification of 2533 unique gene models from the MQTL regions. In-silico expression analysis discovered 439 differentially expressed gene models with > 2 transcripts per million expressions in grains and related tissues, which also included 44 high-confidence CGs involved in the various cellular and biochemical processes related to quality traits. Nine functionally characterized wheat genes associated with grain protein content, high-molecular-weight glutenin, and starch synthase enzymes were also found to be co-localized with some of the MQTL. Synteny analysis between wheat and rice MQTL regions identified 23 wheat MQTL syntenic to 16 rice MQTL associated with quality traits. Furthermore, 64 wheat orthologues of 30 known rice genes were detected in 44 MQTL regions. Markers flanking the MQTL identified in the present study can be used for marker-assisted breeding and as fixed effects in the genomic selection models for improving the prediction accuracy during quality breeding. Wheat orthologues of rice genes and other CGs available from MQTLs can be promising targets for further functional validation and to better understand the molecular mechanism underlying the quality traits in wheat.
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Affiliation(s)
- Santosh Gudi
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Gurjeet Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Priyanka Halladakeri
- Department of Genetics and Plant Breeding, Anand Agricultural University, Gujarat, India
| | - Pradeep Kumar
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Mohammad Shamshad
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Mohammad Jafar Tanin
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Satinder Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Achla Sharma
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
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Hao S, Lou H, Wang H, Shi J, Liu D, Baogerile, Tao J, Miao S, Pei Q, Yu L, Wu M, Gao M, Zhao N, Dong J, You M, Xin M. Genome-Wide Association Study Reveals the Genetic Basis of Five Quality Traits in Chinese Wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:835306. [PMID: 35310636 PMCID: PMC8928432 DOI: 10.3389/fpls.2022.835306] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 02/14/2022] [Indexed: 09/10/2023]
Abstract
Bread wheat is a highly adaptable food crop grown extensively around the world and its quality genetic improvement has received wide attention. In this study, the genetic loci associated with five quality traits including protein content (PC), gluten content (GC), baking value (BV), grain hardness (HA), and sedimentation value (SV) in a population of 253 Chinese wheat grown in Inner Mongolia were investigated through genome wide association mapping. A total of 103 QTL containing 556 SNPs were significantly related to the five quality traits based on the phenotypic data collected from three environments and BLUP data. Of these QTL, 32 QTL were continuously detected under at least two experiments. Some QTL such as qBV3D.2/qHA3D.2 on 3D, qPC5A.3/qGC5A on 5A, qBV5D/qHA5D on 5D, qBV6B.2/qHA6B.3 on 6B, and qBV6D/qHA6D.1 on 6D were associated with multiple traits. In addition, distribution of favorable alleles of the stable QTL in the association panel and their effects on five quality traits were validated. Analysis of existing transcriptome data revealed that 34 genes were specifically highly expressed in grains during reproductive growth stages. The functions of these genes will be characterized in future experiments. This study provides novel insights into the genetic basis of quality traits in wheat.
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Affiliation(s)
- Shuiyuan Hao
- College of Agronomy, China Agricultural University, Beijing, China
- Safety Production and Early Warning Control Laboratory of Green Agricultural Products in Hetao Region, Hetao College, Bayannur, China
| | - Hongyao Lou
- Institute of Hybrid Wheat, Beijng Academy of Agriculture Forestry Sciences, Beijing, China
| | - Haiwei Wang
- Department of Agriculture, Hetao College, Bayannur, China
| | - Jinghong Shi
- Department of Agriculture, Hetao College, Bayannur, China
| | - Dan Liu
- Department of Medicine, Hetao College, Bayannur, China
| | - Baogerile
- Department of Library, Hetao College, Bayannur, China
| | - Jianguang Tao
- Bayannur City Meteorological Bureau, Bayannur, China
| | - Sanming Miao
- Bureau of Agriculture and Animal Husbandry of Linhe District of Bayannur, Bayannur, China
| | - Qunce Pei
- Bureau of Agriculture and Animal Husbandry of Linhe District of Bayannur, Bayannur, China
| | - Liangliang Yu
- Bayannur City Meteorological Bureau, Bayannur, China
| | - Min Wu
- Bureau of Agriculture and Animal Husbandry of Urat Middle Banner of Bayannur, Bayannur, China
| | - Ming Gao
- Department of Agriculture, Hetao College, Bayannur, China
| | - Naihu Zhao
- Department of Agriculture, Hetao College, Bayannur, China
| | - Jinchao Dong
- Department of Agriculture, Hetao College, Bayannur, China
| | - Mingshan You
- College of Agronomy, China Agricultural University, Beijing, China
| | - Mingming Xin
- College of Agronomy, China Agricultural University, Beijing, China
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35
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Mahmood Z, Ali M, Mirza JI, Fayyaz M, Majeed K, Naeem MK, Aziz A, Trethowan R, Ogbonnaya FC, Poland J, Quraishi UM, Hickey LT, Rasheed A, He Z. Genome-Wide Association and Genomic Prediction for Stripe Rust Resistance in Synthetic-Derived Wheats. FRONTIERS IN PLANT SCIENCE 2022; 13:788593. [PMID: 35283883 PMCID: PMC8908430 DOI: 10.3389/fpls.2022.788593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 01/07/2022] [Indexed: 06/14/2023]
Abstract
Stripe rust caused by Puccnina striiformis (Pst) is an economically important disease attacking wheat all over the world. Identifying and deploying new genes for Pst resistance is an economical and long-term strategy for controlling Pst. A genome-wide association study (GWAS) using single nucleotide polymorphisms (SNPs) and functional haplotypes were used to identify loci associated with stripe rust resistance in synthetic-derived (SYN-DER) wheats in four environments. In total, 92 quantitative trait nucleotides (QTNs) distributed over 65 different loci were associated with resistance to Pst at seedling and adult plant stages. Nine additional loci were discovered by the linkage disequilibrium-based haplotype-GWAS approach. The durable rust-resistant gene Lr34/Yr18 provided resistance in all four environments, and against all the five Pst races used in this study. The analysis identified several SYN-DER accessions that carried major genes: either Yr24/Yr26 or Yr32. New loci were also identified on chr2B, chr5B, and chr7D, and 14 QTNs and three haplotypes identified on the D-genome possibly carry new alleles of the known genes contributed by the Ae. tauschii founders. We also evaluated eleven different models for genomic prediction of Pst resistance, and a prediction accuracy up to 0.85 was achieved for an adult plant resistance, however, genomic prediction for seedling resistance remained very low. A meta-analysis based on a large number of existing GWAS would enhance the identification of new genes and loci for stripe rust resistance in wheat. The genetic framework elucidated here for stripe rust resistance in SYN-DER identified the novel loci for resistance to Pst assembled in adapted genetic backgrounds.
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Affiliation(s)
- Zahid Mahmood
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan
- Crop Sciences Institute, National Agricultural Research Centre (NARC), Islamabad, Pakistan
| | - Mohsin Ali
- Institute of Crop Sciences, CIMMYT-China office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | | | | | - Khawar Majeed
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Muhammad Kashif Naeem
- National Institute for Genomics and Advanced Biotechnology (NIGAB), National Agriculture Research Center (NARC), Islamabad, Pakistan
| | - Abdul Aziz
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan
| | - Richard Trethowan
- Plant Breeding Institute, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | | | - Jesse Poland
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | | | - Lee Thomas Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Saint Lucia, QLD, Australia
| | - Awais Rasheed
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan
- Institute of Crop Sciences, CIMMYT-China office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Zhonghu He
- Institute of Crop Sciences, CIMMYT-China office, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
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Mao H, Li S, Chen B, Jian C, Mei F, Zhang Y, Li F, Chen N, Li T, Du L, Ding L, Wang Z, Cheng X, Wang X, Kang Z. Variation in cis-regulation of a NAC transcription factor contributes to drought tolerance in wheat. MOLECULAR PLANT 2022; 15:276-292. [PMID: 34793983 DOI: 10.1016/j.molp.2021.11.007] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/28/2021] [Accepted: 11/11/2021] [Indexed: 06/13/2023]
Abstract
Drought is a major environmental factor limiting wheat production worldwide, and developing drought-tolerant cultivars is a central challenge for wheat breeders globally. Therefore, it is important to identify genetic components determining drought tolerance in wheat. In this study, we identified a wheat NAC gene (TaNAC071-A) that is tightly associated with drought tolerance by a genome-wide association study. Knockdown of TaNAC071-A in wheat attenuated plant drought tolerance, whereas its overexpression significantly enhanced drought tolerance through improved water-use efficiency and increased expression of stress-responsive genes. This heightened water-saving mechanism mitigated the yield loss caused by water deficit. Further candidate gene association analysis showed that a 108-bp insertion in the promoter of TaNAC071-A alters its expression level and contributes to variation in drought tolerance among wheat accessions. This insertion contains two MYB cis-regulatory elements (CREs) that can be directly bound by the MYB transcription activator, TaMYBL1, thereby leading to increased TaNAC071-A expression and plant drought tolerance. Importantly, introgression of this 108-bp insertion allele, TaNAC071-AIn-693, into drought-sensitive cultivars could improve their drought tolerance, demonstrating that it is a valuable genetic resource for wheat breeding. Taken together, our findings highlight a major breakthrough in determining the genetic basis underlying phenotypic variation in wheat drought tolerance and showcase the potential of exploiting CRE-containing indels for improving important agronomical traits.
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Affiliation(s)
- Hude Mao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China; Pioneering Innovation Center for Wheat Stress Tolerance Improvement, State Key Laboratory of Crop Stress Biology for Arid Areas, Yangling, Shaanxi 712100, China.
| | - Shumin Li
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Bin Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chao Jian
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Fangming Mei
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yifang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Fangfang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Nan Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Tian Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Linying Du
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Science, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Li Ding
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhongxue Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xinxiu Cheng
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiaojing Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Science, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China; Pioneering Innovation Center for Wheat Stress Tolerance Improvement, State Key Laboratory of Crop Stress Biology for Arid Areas, Yangling, Shaanxi 712100, China; Yangling Seed Industry Innovation Center, Yangling, Shaanxi 712100, China.
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37
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Singh R, Kumar K, Bharadwaj C, Verma PK. Broadening the horizon of crop research: a decade of advancements in plant molecular genetics to divulge phenotype governing genes. PLANTA 2022; 255:46. [PMID: 35076815 DOI: 10.1007/s00425-022-03827-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 01/08/2022] [Indexed: 06/14/2023]
Abstract
Advancements in sequencing, genotyping, and computational technologies during the last decade (2011-2020) enabled new forward-genetic approaches, which subdue the impediments of precise gene mapping in varied crops. The modern crop improvement programs rely heavily on two major steps-trait-associated QTL/gene/marker's identification and molecular breeding. Thus, it is vital for basic and translational crop research to identify genomic regions that govern the phenotype of interest. Until the advent of next-generation sequencing, the forward-genetic techniques were laborious and time-consuming. Over the last 10 years, advancements in the area of genome assembly, genotyping, large-scale data analysis, and statistical algorithms have led faster identification of genomic variations regulating the complex agronomic traits and pathogen resistance. In this review, we describe the latest developments in genome sequencing and genotyping along with a comprehensive evaluation of the last 10-year headways in forward-genetic techniques that have shifted the focus of plant research from model plants to diverse crops. We have classified the available molecular genetic methods under bulk-segregant analysis-based (QTL-seq, GradedPool-Seq, QTG-Seq, Exome QTL-seq, and RapMap), target sequence enrichment-based (RenSeq, AgRenSeq, and TACCA), and mutation-based groups (MutMap, NIKS algorithm, MutRenSeq, MutChromSeq), alongside improvements in classical mapping and genome-wide association analyses. Newer methods for outcrossing, heterozygous, and polyploid plant genetics have also been discussed. The use of k-mers has enriched the nature of genetic variants which can be utilized to identify the phenotype-causing genes, independent of reference genomes. We envisage that the recent methods discussed herein will expand the repertoire of useful alleles and help in developing high-yielding and climate-resilient crops.
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Affiliation(s)
- Ritu Singh
- Plant Immunity Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Kamal Kumar
- Plant Immunity Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Chellapilla Bharadwaj
- Division of Genetics, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110020, India
| | - Praveen Kumar Verma
- Plant Immunity Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India.
- Plant Immunity Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
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Jan I, Saripalli G, Kumar K, Kumar A, Singh R, Batra R, Sharma PK, Balyan HS, Gupta PK. Meta-QTLs and candidate genes for stripe rust resistance in wheat. Sci Rep 2021; 11:22923. [PMID: 34824302 PMCID: PMC8617266 DOI: 10.1038/s41598-021-02049-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 11/02/2021] [Indexed: 11/15/2022] Open
Abstract
In bread wheat, meta-QTL analysis was conducted using 353 QTLs that were available from earlier studies. When projected onto a dense consensus map comprising 76,753 markers, only 184 QTLs with the required information, could be utilized leading to identification of 61 MQTLs spread over 18 of the 21 chromosomes (barring 5D, 6D and 7D). The range for mean R2 (PVE %) was 1.9% to 48.1%, and that of CI was 0.02 to 11.47 cM; these CIs also carried 37 Yr genes. Using these MQTLs, 385 candidate genes (CGs) were also identified. Out of these CGs, 241 encoded known R proteins and 120 showed differential expression due to stripe rust infection at the seedling stage; the remaining 24 CGs were common in the sense that they encoded R proteins as well as showed differential expression. The proteins encoded by CGs carried the following widely known domains: NBS-LRR domain, WRKY domains, ankyrin repeat domains, sugar transport domains, etc. Thirteen breeders' MQTLs (PVE > 20%) including four pairs of closely linked MQTLs are recommended for use in wheat molecular breeding, for future studies to understand the molecular mechanism of stripe rust resistance and for gene cloning.
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Grants
- BT/PR21024/AGIII/103/925/2016 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR21024/AGIII/103/925/2016 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR21024/AGIII/103/925/2016 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR21024/AGIII/103/925/2016 Department of Biotechnology, Ministry of Science and Technology, India
- BT/PR21024/AGIII/103/925/2016 Department of Biotechnology, Ministry of Science and Technology, India
- Indian National Science Academy
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Affiliation(s)
- Irfat Jan
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India
| | - Gautam Saripalli
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India
| | - Kuldeep Kumar
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India
| | - Anuj Kumar
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India
| | - Rakhi Singh
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India
| | - Ritu Batra
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India
| | - Pradeep Kumar Sharma
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India
| | - Harindra Singh Balyan
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India
| | - Pushpendra Kumar Gupta
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India.
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Pang Y, Wu Y, Liu C, Li W, St Amand P, Bernardo A, Wang D, Dong L, Yuan X, Zhang H, Zhao M, Li L, Wang L, He F, Liang Y, Yan Q, Lu Y, Su Y, Jiang H, Wu J, Li A, Kong L, Bai G, Liu S. High-resolution genome-wide association study and genomic prediction for disease resistance and cold tolerance in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2857-2873. [PMID: 34075443 DOI: 10.1007/s00122-021-03863-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 05/13/2021] [Indexed: 06/12/2023]
Abstract
High-resolution genome-wide association study (GWAS) facilitated QTL fine mapping and candidate gene identification, and the GWAS based genomic prediction models were highly predictive and valuable in wheat genomic breeding. Wheat is a major staple food crop and provides more than one-fifth of the daily calories and dietary proteins for humans. Genome-wide association study (GWAS) and genomic selection (GS) for wheat stress resistance and tolerance related traits are critical to understanding their genetic architecture for improvement of breeding selection efficiency. However, the insufficient marker density in previous studies limited the utility of GWAS and GS in wheat genomic breeding. Here, we conducted a high-resolution GWAS for wheat leaf rust (LR), yellow rust (YR), powdery mildew (PM), and cold tolerance (CT) by genotyping a panel of 768 wheat cultivars using genotyping-by-sequencing. Among 153 quantitative trait loci (QTLs) identified, 81 QTLs were delimited to ≤ 1.0 Mb intervals with three validated using bi-parental populations. Furthermore, 837 stress resistance-related genes were identified in the QTL regions with 12 showing induced expression by YR and PM pathogens. Genomic prediction using 2608, 4064, 3907, and 2136 pre-selected SNPs based on GWAS and genotypic correlations between the SNPs showed high prediction accuracies of 0.76, 0.73, and 0.78 for resistance to LR, YR, and PM, respectively, and 0.83 for resistance to cold damage. Our study laid a solid foundation for large-scale QTL fine mapping, candidate gene validation and GS in wheat.
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Affiliation(s)
- Yunlong Pang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Yuye Wu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Chunxia Liu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Wenhui Li
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Paul St Amand
- Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
| | - Amy Bernardo
- Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506, USA
| | - Danfeng Wang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Lei Dong
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Xiufang Yuan
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Huirui Zhang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Meng Zhao
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Linzhi Li
- Yantai Academy of Agricultural Sciences, Yantai, 265500, China
| | - Liming Wang
- College of Agriculture, Henan University of Science and Technology, Luoyang, 471000, China
| | - Fang He
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
- College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Yunlong Liang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Qiang Yan
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Yue Lu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Yu Su
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Hongming Jiang
- Yantai Academy of Agricultural Sciences, Yantai, 265500, China
| | - Jiajie Wu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Anfei Li
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Lingrang Kong
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Guihua Bai
- Hard Winter Wheat Genetics Research Unit, Manhattan, KS, 66506, USA
- Department of Plant Pathology, Kansas State University, Manhattan, KS, 66506, USA
| | - Shubing Liu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
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Yang Y, Amo A, Wei D, Chai Y, Zheng J, Qiao P, Cui C, Lu S, Chen L, Hu YG. Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:3083-3109. [PMID: 34142166 DOI: 10.1007/s00122-021-03881-4] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 06/02/2021] [Indexed: 05/20/2023]
Abstract
Based on the large-scale integration of meta-QTL and Genome-Wide Association Study, 76 high-confidence MQTL regions and 237 candidate genes that affected wheat yield and yield-related traits were discovered. Improving yield and yield-related traits are key goals in wheat breeding program. The integration of accumulated wheat genetic resources provides an opportunity to uncover important genomic regions and candidate genes that affect wheat yield. Here, a comprehensive meta-QTL analysis was conducted on 2230 QTL of yield-related traits obtained from 119 QTL studies. These QTL were refined into 145 meta-QTL (MQTL), and 89 MQTL were verified by GWAS with different natural populations. The average confidence interval (CI) of these MQTL was 2.92 times less than that of the initial QTL. Furthermore, 76 core MQTL regions with a physical distance less than 25 Mb were detected. Based on the homology analysis and expression patterns, 237 candidate genes in the MQTL involved in photoperiod response, grain development, multiple plant growth regulator pathways, carbon and nitrogen metabolism and spike and flower organ development were determined. A novel candidate gene TaKAO-4A was confirmed to be significantly associated with grain size, and a CAPS marker was developed based on its dominant haplotype. In summary, this study clarified a method based on the integration of meta-QTL, GWAS and homology comparison to reveal the genomic regions and candidate genes that affect important yield-related traits in wheat. This work will help to lay a foundation for the identification, transfer and aggregation of these important QTL or candidate genes in wheat high-yield breeding.
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Affiliation(s)
- Yang Yang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
| | - Aduragbemi Amo
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
| | - Di Wei
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
| | - Yongmao Chai
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
| | - Jie Zheng
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
| | - Pengfang Qiao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
| | - Chunge Cui
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
| | - Shan Lu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
| | - Liang Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
| | - Yin-Gang Hu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
- Institute of Water Saving Agriculture in Arid Regions of China, Northwest A&F University, Yangling, Shaanxi, China.
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Du X, Xu W, Peng C, Li C, Zhang Y, Hu L. Identification and validation of a novel locus, Qpm-3BL, for adult plant resistance to powdery mildew in wheat using multilocus GWAS. BMC PLANT BIOLOGY 2021; 21:357. [PMID: 34330216 PMCID: PMC8323325 DOI: 10.1186/s12870-021-03093-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 06/10/2021] [Indexed: 06/01/2023]
Abstract
BACKGROUND Powdery mildew (PM), one of the major diseases in wheat, severely damages yield and quality, and the most economical and effective way to address this issue is to breed disease-resistant cultivars. Accordingly, 371 landraces and 266 released cultivars in Henan Province were genotyped by a 660 K microarray and phenotyped for adult plant resistance (APR) to PM from 2017 to 2020, and these datasets were used to conduct multilocus genome-wide association studies (GWASs). RESULTS Thirty-six varieties showed stable APR in all the environments, and eleven quantitative trait nucleotides (QTNs) were found by multiple methods across multiple environments and best linear unbiased prediction (BLUP) values to be significantly associated with APR. Among these stable QTNs, four were previously reported, three were newly discovered in this study, and the others need to be further investigated. The major and newly discovered QTN, Qpm-3BL, was located at chr03BL_AX-109,052,670, while another newly discovered QTN, Qpm-1BL, was located between chr01BL_AX-108,771,002 and chr01BL_AX-110,117,322. Five and eight landraces were identified to be resistant based on Qpm-1BL (haplotype TC) and Qpm-3BL (allele T), respectively. To validate Qpm-3BL, a new kompetitive allele-specific PCR (KASP) marker was developed to scan 155 F2 individuals, and the average resistance score supported the value of Qpm-3BL in marker-assisted breeding. Near Qpm-3BL, PmBMYD was identified by KEGG, gene expression and comparative genomics analyses to be a candidate. Its resistance mechanism may involve gene tandem repeats. CONCLUSIONS This study reveals a previously unknown gene for PM resistance that is available for marker-assisted breeding.
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Affiliation(s)
- Xijun Du
- College of Agronomy, Northwest A&F University, Yangling, Shanxi, 712100, Xianyang, China
- Institute of Crop Molecular Breeding/National Engineering Laboratory of Wheat/Key Laboratory of Wheat Biology and Genetic Breeding in Central Huanghuai Area/Ministry of Agriculture/Henan Key Laboratory of Wheat Germplasm Resources Innovation and Improvement, Henan Academy of Agricultural Sciences, 450002, Zhengzhou, China
| | - Weigang Xu
- College of Agronomy, Northwest A&F University, Yangling, Shanxi, 712100, Xianyang, China.
- Institute of Crop Molecular Breeding/National Engineering Laboratory of Wheat/Key Laboratory of Wheat Biology and Genetic Breeding in Central Huanghuai Area/Ministry of Agriculture/Henan Key Laboratory of Wheat Germplasm Resources Innovation and Improvement, Henan Academy of Agricultural Sciences, 450002, Zhengzhou, China.
| | - Chaojun Peng
- Institute of Crop Molecular Breeding/National Engineering Laboratory of Wheat/Key Laboratory of Wheat Biology and Genetic Breeding in Central Huanghuai Area/Ministry of Agriculture/Henan Key Laboratory of Wheat Germplasm Resources Innovation and Improvement, Henan Academy of Agricultural Sciences, 450002, Zhengzhou, China
| | - Chunxin Li
- Institute of Crop Molecular Breeding/National Engineering Laboratory of Wheat/Key Laboratory of Wheat Biology and Genetic Breeding in Central Huanghuai Area/Ministry of Agriculture/Henan Key Laboratory of Wheat Germplasm Resources Innovation and Improvement, Henan Academy of Agricultural Sciences, 450002, Zhengzhou, China
| | - Yu Zhang
- Institute of Crop Molecular Breeding/National Engineering Laboratory of Wheat/Key Laboratory of Wheat Biology and Genetic Breeding in Central Huanghuai Area/Ministry of Agriculture/Henan Key Laboratory of Wheat Germplasm Resources Innovation and Improvement, Henan Academy of Agricultural Sciences, 450002, Zhengzhou, China
| | - Lin Hu
- Institute of Crop Molecular Breeding/National Engineering Laboratory of Wheat/Key Laboratory of Wheat Biology and Genetic Breeding in Central Huanghuai Area/Ministry of Agriculture/Henan Key Laboratory of Wheat Germplasm Resources Innovation and Improvement, Henan Academy of Agricultural Sciences, 450002, Zhengzhou, China
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Liu S, Huang S, Zeng Q, Wang X, Yu R, Wang Q, Singh RP, Bhavani S, Kang Z, Wu J, Han D. Refined mapping of stripe rust resistance gene YrP10090 within a desirable haplotype for wheat improvement on chromosome 6A. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2005-2021. [PMID: 33683400 DOI: 10.1007/s00122-021-03801-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 02/23/2021] [Indexed: 06/12/2023]
Abstract
A large genomic region spanning over 300 Mb on chromosome 6A under intense artificial selection harbors multiple loci associated with favorable traits including stripe rust resistance in wheat. The development of resistance cultivars can be an optimal strategy for controlling wheat stripe rust disease. Although loci for stripe rust resistance have been identified on chromosome 6A in previous studies, it is unclear whether these loci span a common genetic interval, and few studies have attempted to analyze the haplotype changes that have accompanied wheat improvement over the period of modern breeding. In this study, we used F2:3 families and F6:7 recombinant inbred lines (RILs) derived from a cross between a resistant CIMMYT wheat accession P10090 and the susceptible landrace Mingxian 169 to improve the resolution of the QTL on chromosome 6A. The co-located QTL, designated as YrP10090, was flanked by SNP markers AX-94460938 and AX-110585473 with a genetic interval of 3.5 cM, however, corresponding to a large physical distance of over 300 Mb in RefSeq v.1.0 (positions 107.1-446.5 Mb). More than 1,300 SNP markers in this genetic region were extracted for haplotype analysis in a panel of 1,461 worldwide common wheat accessions, and three major haplotypes (Hap1, Hap2, and Hap3) were identified. The favorable haplotype Hap1 associated with stripe rust resistance exhibited a large degree of linkage disequilibrium. Selective sweep analyses were performed between different haplotype groups, revealing specific genomic regions with strong artificial selection signals. These regions harbored multiple desirable traits associated with resilience to environmental stress, different yield components, and quality characteristics. P10090 and its derivatives that carry the desirable haplotype can provide a concrete foundation for bread wheat improvement including the genomic selection.
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Affiliation(s)
- Shengjie Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Shuo Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xiaoting Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Rui Yu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Qilin Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Ravi P Singh
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, 56237, Texcoco, Estado de Mexico, Mexico
| | - Sridhar Bhavani
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, 56237, Texcoco, Estado de Mexico, Mexico
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
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Utilization of a Wheat50K SNP Microarray-Derived High-Density Genetic Map for QTL Mapping of Plant Height and Grain Traits in Wheat. PLANTS 2021; 10:plants10061167. [PMID: 34201388 PMCID: PMC8229693 DOI: 10.3390/plants10061167] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 05/18/2021] [Accepted: 05/26/2021] [Indexed: 11/22/2022]
Abstract
Plant height is significantly correlated with grain traits, which is a component of wheat yield. The purpose of this study is to investigate the main quantitative trait loci (QTLs) that control plant height and grain-related traits in multiple environments. In this study, we constructed a high-density genetic linkage map using the Wheat50K SNP Array to map QTLs for these traits in 198 recombinant inbred lines (RILs). The two ends of the chromosome were identified as recombination-rich areas in all chromosomes except chromosome 1B. Both the genetic map and the physical map showed a significant correlation, with a correlation coefficient between 0.63 and 0.99. However, there was almost no recombination between 1RS and 1BS. In terms of plant height, 1RS contributed to the reduction of plant height by 3.43 cm. In terms of grain length, 1RS contributed to the elongation of grain by 0.11 mm. A total of 43 QTLs were identified, including eight QTLs for plant height (PH), 11 QTLs for thousand grain weight (TGW), 15 QTLs for grain length (GL), and nine QTLs for grain width (GW), which explained 1.36–33.08% of the phenotypic variation. Seven were environment-stable QTLs, including two loci (Qph.nwafu-4B and Qph.nwafu-4D) that determined plant height. The explanation rates of phenotypic variation were 7.39–12.26% and 20.11–27.08%, respectively. One QTL, Qtgw.nwafu-4B, which influenced TGW, showed an explanation rate of 3.43–6.85% for phenotypic variation. Two co-segregating KASP markers were developed, and the physical locations corresponding to KASP_AX-109316968 and KASP_AX-109519968 were 25.888344 MB and 25.847691 MB, respectively. Qph.nwafu-4B, controlling plant height, and Qtgw.nwafu-4B, controlling TGW, had an obvious linkage relationship, with a distance of 7–8 cM. Breeding is based on molecular markers that control plant height and thousand-grain weight by selecting strains with low plant height and large grain weight. Another QTL, Qgw.nwafu-4D, which determined grain width, had an explanation rate of 3.43–6.85%. Three loci that affected grain length were Qgl.nwafu-5A, Qgl.nwafu-5D.2, and Qgl.nwafu-6B, illustrating the explanation rates of phenotypic variation as 6.72–9.59%, 5.62–7.75%, and 6.68–10.73%, respectively. Two QTL clusters were identified on chromosomes 4B and 4D.
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Mores A, Borrelli GM, Laidò G, Petruzzino G, Pecchioni N, Amoroso LGM, Desiderio F, Mazzucotelli E, Mastrangelo AM, Marone D. Genomic Approaches to Identify Molecular Bases of Crop Resistance to Diseases and to Develop Future Breeding Strategies. Int J Mol Sci 2021; 22:5423. [PMID: 34063853 PMCID: PMC8196592 DOI: 10.3390/ijms22115423] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/30/2021] [Accepted: 05/15/2021] [Indexed: 12/16/2022] Open
Abstract
Plant diseases are responsible for substantial crop losses each year and affect food security and agricultural sustainability. The improvement of crop resistance to pathogens through breeding represents an environmentally sound method for managing disease and minimizing these losses. The challenge is to breed varieties with a stable and broad-spectrum resistance. Different approaches, from markers to recent genomic and 'post-genomic era' technologies, will be reviewed in order to contribute to a better understanding of the complexity of host-pathogen interactions and genes, including those with small phenotypic effects and mechanisms that underlie resistance. An efficient combination of these approaches is herein proposed as the basis to develop a successful breeding strategy to obtain resistant crop varieties that yield higher in increasing disease scenarios.
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Affiliation(s)
- Antonia Mores
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, S.S. 673, Km 25,200, 71122 Foggia, Italy; (A.M.); (G.M.B.); (G.L.); (G.P.); (N.P.); (A.M.M.)
| | - Grazia Maria Borrelli
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, S.S. 673, Km 25,200, 71122 Foggia, Italy; (A.M.); (G.M.B.); (G.L.); (G.P.); (N.P.); (A.M.M.)
| | - Giovanni Laidò
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, S.S. 673, Km 25,200, 71122 Foggia, Italy; (A.M.); (G.M.B.); (G.L.); (G.P.); (N.P.); (A.M.M.)
| | - Giuseppe Petruzzino
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, S.S. 673, Km 25,200, 71122 Foggia, Italy; (A.M.); (G.M.B.); (G.L.); (G.P.); (N.P.); (A.M.M.)
| | - Nicola Pecchioni
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, S.S. 673, Km 25,200, 71122 Foggia, Italy; (A.M.); (G.M.B.); (G.L.); (G.P.); (N.P.); (A.M.M.)
| | | | - Francesca Desiderio
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, Via San Protaso 302, 29017 Fiorenzuola d’Arda, Italy; (F.D.); (E.M.)
| | - Elisabetta Mazzucotelli
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, Via San Protaso 302, 29017 Fiorenzuola d’Arda, Italy; (F.D.); (E.M.)
| | - Anna Maria Mastrangelo
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, S.S. 673, Km 25,200, 71122 Foggia, Italy; (A.M.); (G.M.B.); (G.L.); (G.P.); (N.P.); (A.M.M.)
| | - Daniela Marone
- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, S.S. 673, Km 25,200, 71122 Foggia, Italy; (A.M.); (G.M.B.); (G.L.); (G.P.); (N.P.); (A.M.M.)
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Tai L, Wang HJ, Xu XJ, Sun WH, Ju L, Liu WT, Li WQ, Sun J, Chen KM. Pre-harvest sprouting in cereals: genetic and biochemical mechanisms. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:2857-2876. [PMID: 33471899 DOI: 10.1093/jxb/erab024] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 01/18/2021] [Indexed: 05/22/2023]
Abstract
With the growth of the global population and the increasing frequency of natural disasters, crop yields must be steadily increased to enhance human adaptability to risks. Pre-harvest sprouting (PHS), a term mainly used to describe the phenomenon in which grains germinate on the mother plant directly before harvest, is a serious global problem for agricultural production. After domestication, the dormancy level of cultivated crops was generally lower than that of their wild ancestors. Although the shortened dormancy period likely improved the industrial performance of cereals such as wheat, barley, rice, and maize, the excessive germination rate has caused frequent PHS in areas with higher rainfall, resulting in great economic losses. Here, we systematically review the causes of PHS and its consequences, the major indicators and methods for PHS assessment, and emphasize the biological significance of PHS in crop production. Wheat quantitative trait loci functioning in the control of PHS are also comprehensively summarized in a meta-analysis. Finally, we use Arabidopsis as a model plant to develop more complete PHS regulatory networks for wheat. The integration of this information is conducive to the development of custom-made cultivated lines suitable for different demands and regions, and is of great significance for improving crop yields and economic benefits.
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Affiliation(s)
- Li Tai
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Hong-Jin Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Xiao-Jing Xu
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Wei-Hang Sun
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Lan Ju
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Wen-Ting Liu
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Wen-Qiang Li
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Jiaqiang Sun
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Kun-Ming Chen
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, China
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Mi Z, Zhang X, Su J, Han D, Su B. Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices. FRONTIERS IN PLANT SCIENCE 2020; 11:558126. [PMID: 33013976 PMCID: PMC7509068 DOI: 10.3389/fpls.2020.558126] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 08/21/2020] [Indexed: 05/18/2023]
Abstract
Wheat stripe rust is one of the main wheat diseases worldwide, which has significantly adverse effects on wheat yield and quality, posing serious threats on food security. Disease severity grading plays a paramount role in stripe rust disease management including breeding disease-resistant wheat varieties. Manual inspection is time-consuming, labor-intensive and prone to human errors, therefore, there is a clearly urgent need to develop more effective and efficient disease grading strategy by using automated approaches. However, the differences between wheat leaves of different levels of stripe rust infection are usually tiny and subtle, and, as a result, ordinary deep learning networks fail to achieve satisfying performance. By formulating this challenge as a fine-grained image classification problem, this study proposes a novel deep learning network C-DenseNet which embeds Convolutional Block Attention Module (CBAM) in the densely connected convolutional network (DenseNet). The performance of C-DenseNet and its variants is demonstrated via a newly collected wheat stripe rust grading dataset (WSRgrading dataset) at Northwest A&F University, Shaanxi Province, China, which contains a total of 5,242 wheat leaf images with 6 levels of stripe rust infection. The dataset was collected by using various mobile devices in the natural field condition. Comparative experiments show that C-DenseNet with a test accuracy of 97.99% outperforms the classical DenseNet (92.53%) and ResNet (73.43%). GradCAM++ network visualization also shows that C-DenseNet is able to pay more attention to the key areas in making the decision. It is concluded that C-DenseNet with an attention mechanism is suitable for wheat stripe rust disease grading in field conditions.
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Affiliation(s)
- Zhiwen Mi
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Services, Yangling, China
| | - Xudong Zhang
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Services, Yangling, China
| | - Jinya Su
- School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, China
| | - Baofeng Su
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Services, Yangling, China
- *Correspondence: Baofeng Su,
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