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Zhuang L, Du L, Liu H, Liu H, Li H, Zhang Y, Liu Y, Hou J, Li T, Yang D, Zhang X, Hao C. Joint linkage and association analysis identifies genomic regions and candidate genes for yield-related traits in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2025; 138:107. [PMID: 40314838 PMCID: PMC12048430 DOI: 10.1007/s00122-025-04900-4] [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] [Subscribe] [Scholar Register] [Received: 12/21/2024] [Accepted: 04/04/2025] [Indexed: 05/03/2025]
Abstract
KEY MESSAGE Twenty-six QTLs associated with yield-related traits in wheat were identified through joint linkage and association analysis, with TraesCS5A03G0002500 being selected as a candidate gene for QGl.caas-5A.1. As a major staple crop worldwide, continuously increasing wheat yield is crucial for ensuring food security. Wheat yield is influenced by multiple traits, and elucidating the genetic basis of yield-related traits lays a foundation for future gene cloning and molecular mechanism studies. In this study, a recombinant inbred line (RIL) population derived from 292 lines of Hengguan 35/Zhoumai 18 was genotyped with the Affymetrix wheat 660 K SNP array. Combined with the phenotype of the RIL population in 13 environments, linkage analysis of six yield-related traits including plant height, grain number per spike, thousand-grain weight, grain length, grain width, and grain thickness was conducted. A total of 262 quantitative trait locus (QTLs) (logarithm of odds [LOD] > 3) were identified across 21 chromosomes, in which 50 QTLs were repeatedly detected in more than three environments. Numerous QTLs harbored cloned genes and overlapped with those reported in previous studies. Subsequently, joint analysis of genome-wide association study (GWAS) data from the advanced backcross-nested association mapping plus inter-crossed (AB-NAMIC) population and QTLs identified in the RIL population revealed 26 overlapping genomic regions. Notably, the QGl.caas-5A.1 associated with grain length on chromosome 5A was detected in both the RIL and AB-NAMIC populations, and TraesCS5A03G0002500 was selected as a candidate gene. A kompetitive allele-specific PCR (KASP) marker based on a variant [A/G] in TraesCS5A03G0002500 was developed and validated in a natural population containing 350 accessions. Taken together, these results provide valuable information for fine mapping and cloning of yield-related wheat genes in the future.
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Affiliation(s)
- Lei Zhuang
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Lifeng Du
- Jiaozuo Academy of Agricultural and Forestry Sciences, Jiaozuo, 454000, Henan, China
| | - Haixia Liu
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hongxia Liu
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Huifang Li
- State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Yinhui Zhang
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yunchuan Liu
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jian Hou
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Tian Li
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Delong Yang
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, China.
| | - Xueyong Zhang
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Chenyang Hao
- State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Arif M, Ilyas M, Adnan M, Kalsoom R, Ren M, Xu R, Li L. Molecular mechanisms and breeding strategies for enhancing wheat resilience to environmental stresses: The role of heat shock proteins and implications for food security. Int J Biol Macromol 2025; 308:142468. [PMID: 40154715 DOI: 10.1016/j.ijbiomac.2025.142468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2025] [Revised: 03/13/2025] [Accepted: 03/22/2025] [Indexed: 04/01/2025]
Abstract
Wheat is a major staple crop that plays a pivotal role in global food security. However, its productivity is increasingly compromised by environmental stresses such as heat, drought, salinity and heavy metal toxicity. The broad understanding of molecular mechanisms responsible for wheat resilience is reviewed, with a particular focus on heat shock proteins (HSPs) as key mediators of stress adjustment. HSPs play the role of molecular chaperones, whereby they stabilize proteins and prevent aggregation and oxidative stress to maintain the homeostatic function of cells in the most extreme conditions. We trained omics technologies such as genomics, transcriptomics, proteomics, and metabolomics to identify genes responsive to stress, thus boosting the breeding approach for better resilience in wheat. Now, genome editing tools such as CRISPR/Cas9 have hastened the development of climate-resilient wheat varieties, complementing traditional breeding strategies. Heavy metal toxicity disturbs the metabolic pathways; however, certain metals are micronutrients, and a balanced approach is essential to improve tolerance. Molecular breeding, precision agriculture, and sustainable soil management should be integrated into future studies to mitigate stress impacts and ensure stable yields. Our interdisciplinary approaches will drive sustainable agri-ecosystems for global food security amid climate change and degradation.
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Affiliation(s)
- Muhammad Arif
- College of Agriculture, Guizhou University, Guiyang 550025, Guizhou, China; Guizhou Sub-center of National Wheat Improvement Center, Guiyang 550025, China
| | - Muhammad Ilyas
- Department of Botany, Kohsar University Murree, Punjab, Pakistan
| | - Muhammad Adnan
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou 550081, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Rabia Kalsoom
- Plant Virology Section, Ayub Agriculture Research Institute, Faisalabad, Pakistan
| | - Mingjian Ren
- College of Agriculture, Guizhou University, Guiyang 550025, Guizhou, China; Guizhou Sub-center of National Wheat Improvement Center, Guiyang 550025, China
| | - Ruhong Xu
- College of Agriculture, Guizhou University, Guiyang 550025, Guizhou, China; Guizhou Sub-center of National Wheat Improvement Center, Guiyang 550025, China
| | - Luhua Li
- College of Agriculture, Guizhou University, Guiyang 550025, Guizhou, China; Guizhou Sub-center of National Wheat Improvement Center, Guiyang 550025, China.
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Verma A, Singh R, Ahmed S, Kumar R, Sharma S, Dhaliwal HS, Balyan HS, Gupta PK. Further studies on pyramiding of alien genes for high grain Fe and Zn in bread wheat. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2025; 45:46. [PMID: 40255965 PMCID: PMC12008105 DOI: 10.1007/s11032-025-01566-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2025] [Accepted: 04/07/2025] [Indexed: 04/22/2025]
Abstract
Wheat serves as the primary source of staple food for the global human population, thus also making it a significant portion of the calorie intake in our daily vegetarian diets. However, in most of the improved wheat cultivars used for food, the grain is deficient in iron (Fe) and zinc (Zn). Therefore, biofortification involving improvement of grain Fe and Zn has become an important area in the current wheat breeding programmes. For this purpose, efforts have been made to develop alien substitution lines and utilize them for transfer of desirable alien genes to improved wheat cultivars. In the present study, two such genotypes in the background of improved cultivar PBW343LrYr were utilized for pyramiding of the following six desirable genes for enrichment of grain Fe and Zn: IRT2, MTP3, IREG, FRO7, YSL15 and NAS2. A forward breeding strategy, involving crossing of the two genotypes followed by inbreeding was used. Marker-assisted selection (MAS) of the genes of interest associated with grain Fe/Zn and plant type was used following selfing of F1 hybrids. The grains of F6 lines that were derived in this programmes were rich in both Fe and Zn contents in the grain. Among the six best derived lines, the values of improved contents of grain Fe ranged from 47.3 to 60.4 ppm and that of Zn ranged from 39.35 to 47.85 ppm. There was no yield penalty in these improved lines, such that the yield was either equal or better than the checks used in field trials. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-025-01566-0.
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Affiliation(s)
- Anjali Verma
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P India
| | - Rakhi Singh
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P India
| | - Shoeb Ahmed
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P India
| | - Rahul Kumar
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P India
| | - Shailendra Sharma
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P India
| | - H. S Dhaliwal
- Department of Genetics, Plants Breeding and Biotechnology, D.K.S.G. Akal College of Agriculture, Eternal University, Baru Sahib, Sirmour, H.P India
| | - H. S. Balyan
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P India
| | - P. K. Gupta
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P India
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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: 2] [Impact Index Per Article: 2.0] [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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Su R, Wang Y, Cui P, Tian G, Qin Y. Isolation of OSCAs in wheat and over-expression of TaOSCA14D increased salt stress tolerance. JOURNAL OF PLANT PHYSIOLOGY 2025; 306:154449. [PMID: 39946937 DOI: 10.1016/j.jplph.2025.154449] [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: 10/09/2024] [Revised: 02/05/2025] [Accepted: 02/06/2025] [Indexed: 03/01/2025]
Abstract
Salt stress is a major environmental factor that limits plant growth and productivity. In the early stage of salt stress, the intracellular Ca2+ concentration elevates, thereby triggering osmotic stress tolerance signaling pathway. OSCAs encode hyperosmotic gated calcium channels and function as osmotic sensors in Arabidopsis. But the functions of OSCAs in wheat responding to salt stress have not been elucidated. In this study, we identified 42 TaOSCAs and examined their expression pattern in 12 tissues and under salt stress. Further, the salt inducible TaOSCA14D was selected for functional study in response to salt stress. TaOSCA14D was induced by NaCl, PEG, exogenous ABA treatment. Over-expression of TaOSCA14D in Arabidopsis and wheat increased salt stress tolerance. Salt stress related marker genes SnRK2s, ABFs, RD29B were higher expressed in TaOSCA14D transgenic plants than in the wild type under NaCl treatment. Furthermore, the soluble sugar and proline content were higher in transgenic plants than in wild-type ones. Over-expression of TaOSCA14D promoted flowering, decreased spike length and the grain number of per spike. All these results shed some light on the function of OSCAs in tolerance to salt stress and its roles in agronomic trait in wheat.
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Affiliation(s)
- Ruiping Su
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, Shandong Province, China
| | - Yuning Wang
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, Shandong Province, China
| | - Ping Cui
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, Shandong Province, China
| | - Geng Tian
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, Shandong Province, China
| | - Yuxiang Qin
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, Shandong Province, China.
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Nasim A, Hao J, Tawab F, Jin C, Zhu J, Luo S, Nie X. Micronutrient Biofortification in Wheat: QTLs, Candidate Genes and Molecular Mechanism. Int J Mol Sci 2025; 26:2178. [PMID: 40076800 PMCID: PMC11900071 DOI: 10.3390/ijms26052178] [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: 01/19/2025] [Revised: 02/24/2025] [Accepted: 02/26/2025] [Indexed: 03/14/2025] Open
Abstract
Micronutrient deficiency (hidden hunger) is one of the serious health problems globally, often due to diets dominated by staple foods. Genetic biofortification of a staple like wheat has surfaced as a promising, cost-efficient, and sustainable strategy. Significant genetic diversity exists in wheat and its wild relatives, but the nutritional profile in commercial wheat varieties has inadvertently declined over time, striving for better yield and disease resistance. Substantial efforts have been made to biofortify wheat using conventional and molecular breeding. QTL and genome-wide association studies were conducted, and some of the identified QTLs/marker-trait association (MTAs) for grain micronutrients like Fe have been exploited by MAS. The genetic mechanisms of micronutrient uptake, transport, and storage have also been investigated. Although wheat biofortified varieties are now commercially cultivated in selected regions worldwide, further improvements are needed. This review provides an overview of wheat biofortification, covering breeding efforts, nutritional evaluation methods, nutrient assimilation and bioavailability, and microbial involvement in wheat grain enrichment. Emerging technologies such as non-destructive hyperspectral imaging (HSI)/red, green, and blue (RGB) phenotyping; multi-omics integration; CRISPR-Cas9 alongside genomic selection; and microbial genetics hold promise for advancing biofortification.
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Affiliation(s)
- Adnan Nasim
- Hainan Institute of Northwest A&F University, Sanya 572025, China;
- College of Agronomy and State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling 712100, China; (J.H.); (C.J.); (J.Z.); (S.L.)
| | - Junwei Hao
- College of Agronomy and State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling 712100, China; (J.H.); (C.J.); (J.Z.); (S.L.)
| | - Faiza Tawab
- Department of Botany, Shaheed Benazir Bhutto Women University Larama, Peshawar 25000, Pakistan;
| | - Ci Jin
- College of Agronomy and State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling 712100, China; (J.H.); (C.J.); (J.Z.); (S.L.)
| | - Jiamin Zhu
- College of Agronomy and State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling 712100, China; (J.H.); (C.J.); (J.Z.); (S.L.)
| | - Shuang Luo
- College of Agronomy and State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling 712100, China; (J.H.); (C.J.); (J.Z.); (S.L.)
| | - Xiaojun Nie
- Hainan Institute of Northwest A&F University, Sanya 572025, China;
- College of Agronomy and State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling 712100, China; (J.H.); (C.J.); (J.Z.); (S.L.)
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Motawei MI, Kamara MM, Rehan M. Exploring molecular variation and combining ability of local and exotic bread wheat genotypes under well-watered and drought conditions. PeerJ 2025; 13:e18994. [PMID: 40034662 PMCID: PMC11874937 DOI: 10.7717/peerj.18994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Accepted: 01/23/2025] [Indexed: 03/05/2025] Open
Abstract
Drought is one of the most environmental stressors, significantly affecting wheat production, particularly in the face of accelerating climate change. Therefore, developing drought-resistant, high-yielding wheat varieties is essential to ensure sustainable production and maintain global food security as the world population rapidly grows. This study aimed to evaluate the genetic variation of local and imported bread wheat genotypes through simple sequence repeat (SSR) markers and assess their combining ability to identify top-performing genotypes under both normal and drought-stress environments. SSR markers revealed significant genetic diversity among the parental genotypes, which were utilized to develop 28 F1 crosses utilizing diallel mating design. Field trials under well-watered and drought-stressed environments demonstrated that drought significantly reduced all measured agronomic traits. The genotypes were categorized into five clusters based on their drought tolerance, ranging from highly sensitive (group-E) to robustly drought-resistant (group-A). The local variety Sids-12 (P2) was identified as an excellent combiner for breeding shorter and early-maturing cultivars and Line-117 (P3), Line-144 (P4), and Line-123 (P5) for improving grain yield and related traits under drought conditions. The crosses P1×P5, P3×P8, P4×P5, and P6×P7 possessed superior performance under both conditions. Key traits, including plant height, grains per spike, 1,000-grain weight, and spikes per plant, displayed strong correlations with grain yield, providing an effective approach for indirect selection in drought-prone environments.
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Affiliation(s)
- Mohamed I. Motawei
- Department of Plant Production, College of Agriculture and Food, Qassim University, Buraydah, Saudi Arabia
| | - Mohamed M. Kamara
- Department of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh, Egypt
| | - Medhat Rehan
- Department of Plant Production, College of Agriculture and Food, Qassim University, Buraydah, Saudi Arabia
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Li Z, Li X, Liu S, Mai S, Qin Y, Wang S, Zhou Z, Yang K, Huang X, Deng Y, Luo Q, Ren T. Identification and validation of quantitative trait loci for seven quality-related traits in common wheat (Triticum aestivum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2025; 138:57. [PMID: 40009158 DOI: 10.1007/s00122-025-04851-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 02/07/2025] [Indexed: 02/27/2025]
Abstract
KEY MESSAGE QTLs for seven different quality traits were mapped. Six QTLs were considered stable and major QTLs, and the genetic effects of the QTLs were validated. Wheat grain quality traits are the key factors for economic value and are largely influenced by genetics and the environment. In this study, a genetic linkage map consisting of 8329 markers spanning 4131.54 cM was constructed using the Wheat55K SNP Array by genotyping a recombinant inbred line population of 304 lines. The quantitative trait loci (QTLs) for the swelling index of glutenin, SDS sedimentation volume (SDSS), wet gluten content, grain protein content, gluten index, grain starch content, and falling number were mapped for multiple years of experiments using the ICIM-BIP, ICIM-MET, and ICIM-EPI methods, respectively. A total of 92 QTLs, 194 cQTLs, and 117 pairs of eQTLs were mapped. Six QTLs, which were QGPC.sau-4A.1, QWGC.sau-4A, QSDSS.sau-1A.1, QGI.sau-1A, QFN.sau-4D, and QSIG.sau-1A, were considered major and stable QTLs. BLAST results showed that except QFN.sau-4D, the other 5 QTLs were new. Eight QTL clusters that contained 19 QTLs were also detected, and all the major and stable QTLs were located in these QTL clusters. Kompetitive allele-specific PCR markers closely linked to the six QTLs were designed. The genetic effects of the major and stable QTLs were successfully confirmed in different populations. These results provide new resources for breeding of high-quality wheat in the future.
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Affiliation(s)
- Zhi Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Xinli Li
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Sunhong Liu
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Shijun Mai
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yitian Qin
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Shiyu Wang
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Zijie Zhou
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Kehan Yang
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Xinyu Huang
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yawen Deng
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Qinyi Luo
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Tianheng Ren
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China.
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Wang D, Xie J, Wang J, Mu M, Xiong H, Ma F, Li P, Jia M, Li S, Li J, Zhu M, Li P, Guan H, Zhang Y, Li H. Unraveling Allelic Impacts on Pre-Harvest Sprouting Resistance in TaVP1-B of Chinese Wheat Accessions Using Pan-Genome. PLANTS (BASEL, SWITZERLAND) 2025; 14:504. [PMID: 40006763 PMCID: PMC11859669 DOI: 10.3390/plants14040504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2024] [Revised: 02/04/2025] [Accepted: 02/05/2025] [Indexed: 02/27/2025]
Abstract
The TaVP1-B gene, located on the 3B chromosome of wheat, is a homolog of the Viviparous-1 (VP-1) gene of maize and was reported to confer resistance to pre-harvest sprouting (PHS) in wheat. In this study, the structure of the TaVP1-B gene was analyzed using the wheat pan-genome consisting of 20 released cultivars (19 wheat are from China), and 3 single nucleotide polymorphisms (SNPs), which were identified at the 496 bp, 524 bp, and 1548 bp of the TaVP1-B CDS region, respectively. Haplotypes analysis showed that these SNPs were in complete linkage disequilibrium and that only two haplotypes designated as hap1 (TGG) and hap2 (GAA) were present. Association analysis between TaVP1-B haplotypes and PHS resistance of the 20 wheat cultivars in four experiment environments revealed that the average PHS resistance of accessions with hap1 was significantly better than that of accessions with hap2, which infers the effects of TaVP1-B on wheat PHS resistance. To further investigate the impacts of alleles at the TaVP1-B locus on PHS resistance, the SNP at 1548 bp of the TaVP1-B CDS region was converted to a KASP marker, which was used for genotyping 304 Chinese wheat cultivars, whose PHS resistance was evaluated in three environments. The average sprouting rates (SRs) of 135 wheat cultivars with the hap1 were significantly lower than the 169 cultivars with the hap2, validating the impacts of TaVP1-B on PHS resistance in Chinese wheat. The present study provided the breeding-friendly marker for functional variants in the TaVP1-B gene, which can be used for genetic improvement of PHS resistance in wheat.
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Affiliation(s)
- Danfeng Wang
- Key Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University/Henan Key Laboratory of Crop Molecular Breeding & Bioreactor, Zhoukou 466001, China; (D.W.); (J.W.); (M.M.)
- Henan International Joint Laboratory of Translational Biology, Zhoukou 466001, China;
| | - Jinjin Xie
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agriculture, Henan University, Kaifeng 475000, China;
| | - Jingwen Wang
- Key Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University/Henan Key Laboratory of Crop Molecular Breeding & Bioreactor, Zhoukou 466001, China; (D.W.); (J.W.); (M.M.)
- Henan Plant Gene and Molecular Breeding Engineering Research Center, Zhoukou 466001, China;
| | - Mengdi Mu
- Key Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University/Henan Key Laboratory of Crop Molecular Breeding & Bioreactor, Zhoukou 466001, China; (D.W.); (J.W.); (M.M.)
- Henan Plant Gene and Molecular Breeding Engineering Research Center, Zhoukou 466001, China;
| | - Haifeng Xiong
- Henan Plant Gene and Molecular Breeding Engineering Research Center, Zhoukou 466001, China;
- Henan Province Plant Genetics and Molecular Breeding Innovation Team, Zhoukou 466001, China; (F.M.); (P.L.); (M.J.); (S.L.); (J.L.); (M.Z.); (P.L.)
| | - Fengshuo Ma
- Henan Province Plant Genetics and Molecular Breeding Innovation Team, Zhoukou 466001, China; (F.M.); (P.L.); (M.J.); (S.L.); (J.L.); (M.Z.); (P.L.)
- Henan Crop Molecular Design Breeding and Cultivation Engineering Technology Research Center, Zhoukou 466001, China
| | - Peizhen Li
- Henan Province Plant Genetics and Molecular Breeding Innovation Team, Zhoukou 466001, China; (F.M.); (P.L.); (M.J.); (S.L.); (J.L.); (M.Z.); (P.L.)
- Henan Crop Molecular Design Breeding and Cultivation Engineering Technology Research Center, Zhoukou 466001, China
| | - Menghan Jia
- Henan Province Plant Genetics and Molecular Breeding Innovation Team, Zhoukou 466001, China; (F.M.); (P.L.); (M.J.); (S.L.); (J.L.); (M.Z.); (P.L.)
- Henan Crop Molecular Design Breeding and Cultivation Engineering Technology Research Center, Zhoukou 466001, China
| | - Shuangjing Li
- Henan Province Plant Genetics and Molecular Breeding Innovation Team, Zhoukou 466001, China; (F.M.); (P.L.); (M.J.); (S.L.); (J.L.); (M.Z.); (P.L.)
- Henan Crop Molecular Design Breeding and Cultivation Engineering Technology Research Center, Zhoukou 466001, China
| | - Jiaxin Li
- Henan Province Plant Genetics and Molecular Breeding Innovation Team, Zhoukou 466001, China; (F.M.); (P.L.); (M.J.); (S.L.); (J.L.); (M.Z.); (P.L.)
- Henan Crop Molecular Design Breeding and Cultivation Engineering Technology Research Center, Zhoukou 466001, China
| | - Mingyue Zhu
- Henan Province Plant Genetics and Molecular Breeding Innovation Team, Zhoukou 466001, China; (F.M.); (P.L.); (M.J.); (S.L.); (J.L.); (M.Z.); (P.L.)
- Henan Crop Molecular Design Breeding and Cultivation Engineering Technology Research Center, Zhoukou 466001, China
| | - Peiwen Li
- Henan Province Plant Genetics and Molecular Breeding Innovation Team, Zhoukou 466001, China; (F.M.); (P.L.); (M.J.); (S.L.); (J.L.); (M.Z.); (P.L.)
| | - Haiyan Guan
- Henan International Joint Laboratory of Translational Biology, Zhoukou 466001, China;
| | - Yi Zhang
- Key Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University/Henan Key Laboratory of Crop Molecular Breeding & Bioreactor, Zhoukou 466001, China; (D.W.); (J.W.); (M.M.)
- Henan International Joint Laboratory of Translational Biology, Zhoukou 466001, China;
| | - Hao Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agriculture, Henan University, Kaifeng 475000, China;
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10
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Li Y, Liu H, Wang X, Wang B. Genome-wide identification and comprehensive analysis of the FtsH gene family in wheat. Mol Biol Rep 2025; 52:186. [PMID: 39899074 DOI: 10.1007/s11033-025-10243-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Accepted: 01/09/2025] [Indexed: 02/04/2025]
Abstract
BACKGROUND The filamentation temperature-sensitive H (FtsH) gene family, which is known to play a critical role in plant growth and development by regulating photosynthesis, chloroplast development, and response to plant stress, has been extensively studied in various species. However, the FtsH gene family in wheat has not been previously documented. METHODS AND RESULTS In this study, 38 TaFtsH gene family members were identified, divided into eight groups and unevenly distributed across various chromosomes. Analysis of gene structure and conserved motifs revealed that TaFtsH genes within the same taxon share similar gene structures and conserved motifs. Further collinearity analysis provided insights into the evolutionary history of TaFtsH genes. Examination of cis-acting elements in the promoter region of TaFtsH genes revealed the presence of developmental and stress response elements in genes. The expression pattern of the wheat FtsH gene under various abiotic stresses was analyzed using real-time fluorescence quantitative PCR. Additionally, transient expression in tobacco verified the localization of the TaFtsH11-B protein in chloroplasts. CONCLUSIONS These findings collectively contribute to laying the groundwork for the functional characterization of TaFtsH genes.
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Affiliation(s)
- Yuwei Li
- College of Chemical and Biological Engineering, Shandong University of Science and Technology, Qingdao, Shandong, People's Republic of China
| | - Hao Liu
- College of Horticulture, Ludong University, Yantai, Shandong, People's Republic of China
| | - Xiaoyu Wang
- College of Chemical and Biological Engineering, Shandong University of Science and Technology, Qingdao, Shandong, People's Republic of China.
| | - Bo Wang
- College of Chemical and Biological Engineering, Shandong University of Science and Technology, Qingdao, Shandong, People's Republic of China.
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11
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Ayık B, Güleç T, Aydın N, Türkoğlu A, Bocianowski J. Pre-Harvest Sprouting Resistance in Bread Wheat: A Speed Breeding Approach to Assess Dormancy QTL in Backcross Lines. PLANTS (BASEL, SWITZERLAND) 2024; 13:3437. [PMID: 39683230 DOI: 10.3390/plants13233437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 11/27/2024] [Accepted: 11/28/2024] [Indexed: 12/18/2024]
Abstract
In this study, BC1F3:4 generation plants derived from the hybrid crosses of Rio Blanco × Nevzatbey, Rio Blanco × Adana99, and Rio Blanco × line 127 were used as experimental material. These hybrids incorporated QTLs associated with pre-harvest sprouting (PHS) resistance through molecular techniques. Key agronomic traits, including plant height, spike length, the number of grains per spike, grain weight, and physiological maturity, were evaluated in both greenhouse and growth room settings under accelerated growth (speed breeding) conditions. Results indicated that plants grown in the fully controlled greenhouse conditions exhibited superior agronomic performance compared with those cultivated in the growth room. Additionally, germination tests were conducted on each hybrid cross to identify genotypes exhibiting dormancy. The analysis revealed that 11 lines from the Rio Blanco × Nevzatbey combination, eight lines from Rio Blanco × Adana99, and six lines from Rio Blanco × Line 127 had notably low germination indices. Among the three hybrid families, the Rio Blanco × Nevzatbey BC1F3:4 hybrids demonstrated the lowest germination index (0.44). Furthermore, Rio Blanco itself recorded the lowest germination index under both greenhouse (0.02) and growth room (0.24) conditions. These findings suggest that environmental conditions exert a significant influence on the expression of dormancy in these genotypes, even when dormancy genes are present. The lines developed in this research have the potential to serve as elite material in breeding programs aimed at enhancing pre-harvest sprouting resistance.
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Affiliation(s)
- Burak Ayık
- Department of Bioengineering, Faculty of Engineering, Karamanoğlu Mehmetbey University, Karaman 70100, Türkiye
| | - Tuğba Güleç
- Department of Plant and Animal Production, Vocational School of Technical Sciences, Karamanoğlu Mehmetbey University, Karaman 70100, Türkiye
| | - Nevzat Aydın
- Department of Bioengineering, Faculty of Engineering, Karamanoğlu Mehmetbey University, Karaman 70100, Türkiye
| | - Aras Türkoğlu
- Department of Field Crops, Faculty of Agriculture, Necmettin Erbakan University, Konya 42310, Türkiye
| | - Jan Bocianowski
- Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland
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12
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Zhuang L, Liu H, Hou J, Jian C, Liu Y, Li H, Xi W, Zhao J, Hao P, Liu S, Cao L, Pan Y, Zhang Y, Zhao L, Jiao C, Liu H, Zhang X, Li T, Hao C. Genetic improvement of important agronomic traits in Chinese wheat breeding over the past 70 years. BMC PLANT BIOLOGY 2024; 24:1151. [PMID: 39614144 DOI: 10.1186/s12870-024-05841-8] [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: 07/18/2024] [Accepted: 11/18/2024] [Indexed: 12/01/2024]
Abstract
BACKGROUND Understanding the genetic improvement patterns of agronomic traits in Chinese wheat (Triticum aestivum L.) breeding is essential for devising future breeding strategies. However, a systematic analysis of the genetic improvement of important traits in Chinese wheat is lacking. This study aimed to provide insights into the improvement progress of yield-related traits in the Chinese wheat breeding process and clarify the selection pressure on important agronomic traits in different agroecological zones. Phenotypic evaluations of 481 wheat accessions including 157 Chinese landraces (CLs) and 324 modern Chinese cultivars (MCCs), were carried out in multiple locations and years. RESULTS The population structure analyses showed that all accessions could be basically divided into CLs and MCCs subpopulations. Pearson correlation analysis revealed that the negative correlation between grain number per spike and thousand-grain weight gradually decreased while thousand-grain weight, grain number per spike, and effective tiller number exhibited synergistic improvements during the modern breeding process. Phenotypic differences among MCCs released from the 1950s to the 2000s indicated that grain number per spike and grain weight-related traits increased linearly, whereas plant height and effective tiller number decreased significantly. Furthermore, since the 1950s, the heading date, flowering date, and maturity date have become earlier, while the spike length and spikelet number per spike have not changed significantly with the advancement of breeding years. The annual genetic gain analysis of agronomic traits showed that plant height had the greatest increase (‒0.96%), followed by thousand-grain weight (0.38%), while the lowest for grain number per spike (0.13%). Phenotypic difference analysis of CLs and MCCs with different geographical origins further revealed that heading date, flowering date, plant height, thousand-grain weight, grain width, and grain thickness experienced strong selection with the same trend in seven agroecological zones. Among zones, the northern winter wheat zone experienced the strongest selection pressure, and plant height and thousand-grain weight were strongly selected in all zones. CONCLUSIONS This study reveals that CLs and MCCs in China with obvious phenotypic differences, plant height and thousand-grain weight were strongly selected during wheat breeding, and further improvement of wheat in China will inevitably involve a continuous increase in grain number per spike.
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Affiliation(s)
- Lei Zhuang
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Haixia Liu
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jian Hou
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chao Jian
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yunchuan Liu
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Huifang Li
- State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, Henan, 450046, China
| | - Wei Xi
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jing Zhao
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Pingan Hao
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shujuan Liu
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Lina Cao
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yuxue Pan
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yinhui Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Li Zhao
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chengzhi Jiao
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hongxia Liu
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Xueyong Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Tian Li
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Chenyang Hao
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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13
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Bohra A, Choudhary M, Bennett D, Joshi R, Mir RR, Varshney RK. Drought-tolerant wheat for enhancing global food security. Funct Integr Genomics 2024; 24:212. [PMID: 39535570 DOI: 10.1007/s10142-024-01488-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 10/23/2024] [Accepted: 10/24/2024] [Indexed: 11/16/2024]
Abstract
Wheat is among the most produced grain crops of the world and alone provides a fifth of the world's calories and protein. Wheat has played a key role in food security since the crop served as a Neolithic founder crop for the establishment of world agriculture. Projections showing a decline in global wheat yields in changing climates imply that food security targets could be jeopardized. Increased frequency and intensity of drought occurrence is evident in major wheat-producing regions worldwide, and notably, the wheat-producing area under drought is projected to swell globally by 60% by the end of the 21st century. Wheat yields are significantly reduced due to changes in plant morphological, physiological, biochemical, and molecular activities in response to drought stress. Advances in wheat genetics, multi-omics technologies and plant phenotyping have enhanced the understanding of crop responses to drought conditions. Research has elucidated key genomic regions, candidate genes, signalling molecules and associated networks that orchestrate tolerance mechanisms under drought stress. Robust and low-cost selection tools are now available in wheat for screening genetic variations for drought tolerance traits. New breeding techniques and selection tools open a unique opportunity to tailor future wheat crop with optimal trait combinations that help withstand extreme drought. Adoption of the new wheat varieties will increase crop diversity in rain-fed agriculture and ensure sustainable improvements in crop yields to safeguard the world's food security in drier environments.
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Affiliation(s)
- Abhishek Bohra
- ICAR-Indian Institute of Pulses Research (IIPR), Kanpur, 208024, India.
| | - Mukesh Choudhary
- ICAR-Indian Institute of Maize Research, PAU campus, Ludhiana, 141001, India
| | - Dion Bennett
- Australian Grain technologies (AGT), Northam, WA, 6401, Australia
| | - Rohit Joshi
- CSIR-Institute of Himalayan Bioresource Technology, Palampur, 176061, India
| | - Reyazul Rouf Mir
- Division of Genetics & Plant Breeding, Faculty of Agriculture, SKUAST, Srinagar, 190025, Shalimar, India
| | - Rajeev K Varshney
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.
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14
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Hernandez LE, Ruiz JM, Espinosa F, Alvarez-Fernandez A, Carvajal M. Plant nutrition challenges for a sustainable agriculture of the future. PHYSIOLOGIA PLANTARUM 2024; 176:e70018. [PMID: 39691080 DOI: 10.1111/ppl.70018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 11/21/2024] [Accepted: 11/27/2024] [Indexed: 12/19/2024]
Abstract
This article offers a comprehensive review of sustainable plant nutrition concepts, examining a multitude of cutting-edge techniques that are revolutionizing the modern area. The review copes with the crucial role of biostimulants as products that stimulate plant nutrition processes, including their potential for biofertilization, followed by an exploration of the significance of micronutrients in plant health and growth. We then delve into strategies for enhancing plants' tolerance to mineral nutrient contaminants and the promising realm of biofortification to increase the essential nutrients necessary for human health. Furthermore, this work also provides a concise overview of the burgeoning field of nanotechnologies in fertilization, while the integration of circular economy principles underscores the importance of sustainable resource management. Then, with examined the interrelation between micronutrients. We conclude with the future challenges and opportunities that lie ahead in the pursuit of more sustainable and resilient plant systems.
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Affiliation(s)
- Luis E Hernandez
- Laboratory of Plant Physiology-Department of Biology, Universidad Autónoma Madrid, Madrid, Spain
| | - Juan M Ruiz
- Department of Plant Physiology, Faculty of Sciences, University of Granada, Granada, Spain
| | - Francisco Espinosa
- Plant Biology, Ecology and Earth Sciences Department, Extremadura University, Badajoz, Spain
| | | | - Micaela Carvajal
- Aquaporins Group. Plant Nutrition Department, Centro de Edafología y Biología Aplicada del Segura (CEBAS, CSIC), Campus Universitario de Espinardo, Murcia, Spain
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15
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Kandpal P, Kaur K, Dhariwal R, Kaur S, Brar GK, Randhawa H, Singh J. Utilizing Short Interspersed Nuclear Element as a Genetic Marker for Pre-Harvest Sprouting in Wheat. PLANTS (BASEL, SWITZERLAND) 2024; 13:2981. [PMID: 39519902 PMCID: PMC11548262 DOI: 10.3390/plants13212981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 10/16/2024] [Accepted: 10/23/2024] [Indexed: 11/16/2024]
Abstract
Pre-harvest sprouting (PHS) is a complex abiotic stress caused by multiple exogenous and endogenous variables that results in random but significant quality and yield loss at the terminal crop stage in more than half of the wheat-producing areas of the world. Systematic research over more than five decades suggests that addressing this challenge requires tools beyond the traditional genetic manipulation approach. Previous molecular studies indicate a possible role of epigenetics in the regulation of seed dormancy and PHS in crops, especially through RNA-directed DNA methylation (RdDM) pathways mediated by Argonaute (AGO) proteins. In this study, we explore the role of the AGO802B gene associated with PHS resistance in wheat, through the presence of a SINE retrotransposon insertion. The current study found the SINE insertion at 3'UTR of the TaAGO802B present in 73.2% of 41 cultivars analyzed and in 92.6% of the resistant cultivar subset. The average expression of TaAGO802B in cultivars with the SINE insertion was 73.3% lower than in cultivars without insertion. This study also indicated a significant positive correlation between the PHS score and methylation levels in the cultivars. The resistant cultivars with the SINE insertion recorded 54.7% lower methylation levels than susceptible cultivars. Further analysis of a DH population (Sadash × P2711) reveals that SINE insertion co-segregates with PHS resistance. This sets forth the SINE insertion in TaAGO802B as a genetic marker for screening wheat germplasm and as an efficient tool for breeding PHS-resistant wheat cultivars.
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Affiliation(s)
- Purnima Kandpal
- Department of Plant Science, McGill University, 21111 Rue Lakeshore, Montreal, QC H9X 3V9, Canada; (P.K.); (K.K.)
| | - Karminderbir Kaur
- Department of Plant Science, McGill University, 21111 Rue Lakeshore, Montreal, QC H9X 3V9, Canada; (P.K.); (K.K.)
| | - Raman Dhariwal
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada; (R.D.); (S.K.); (G.K.B.); (H.R.)
| | - Simranjeet Kaur
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada; (R.D.); (S.K.); (G.K.B.); (H.R.)
| | - Gagandeep Kaur Brar
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada; (R.D.); (S.K.); (G.K.B.); (H.R.)
| | - Harpinder Randhawa
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada; (R.D.); (S.K.); (G.K.B.); (H.R.)
| | - Jaswinder Singh
- Department of Plant Science, McGill University, 21111 Rue Lakeshore, Montreal, QC H9X 3V9, Canada; (P.K.); (K.K.)
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16
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Zhang X, Yu Y, Sun Y, Bai Y, Shu Y, Guo C. Genome-Wide Identification and Expression Analysis of SNAP Gene Family in Wheat. Genes (Basel) 2024; 15:1311. [PMID: 39457435 PMCID: PMC11507394 DOI: 10.3390/genes15101311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Revised: 10/01/2024] [Accepted: 10/09/2024] [Indexed: 10/28/2024] Open
Abstract
Background/Objectives: The SNAP gene family is a class of proteins containing a SNAP domain, which plays a crucial role in the growth and development of plants. Methods: Bioinformatics methods were used to systematically analyze the gene structure, phylogenetic evolution, chromosomal distribution, physicochemical properties, conserved motifs, and cis-acting elements of the TaSNAP family members. Results: The TaSNAP family comprises members that encode proteins ranging between 120 and 276 amino acids, with isoelectric points spanning from 4.87 to 7.92. Phylogenetic analysis elucidated the categorization of the eight TaSNAP into three distinct subfamilies, wherein members of the same subfamily display marked similarities in their gene structures. Chromosomal mapping revealed the distribution of TaSNAP family members across chromosomes 2A, 2B, 2D, 7A, 7B, and 7D. Utilizing the Plant CARE tool, we identified ten elements linked to plant hormones and four associated with stress responses. Expression analysis via qRT-PCR was performed to assess the levels of the eight TaSNAP genes in various tissues and under diverse abiotic stress conditions. The results indicated heightened expression of most genes in roots compared to spikes. Notably, under ABA stress, the majority of genes exhibited upregulation, whereas certain genes were downregulated under PEG stress, implying a substantial role for SNAP protein in wheat growth and development. Conclusions: This study conducted a comprehensive bioinformatics analysis of each member of the wheat SNAP family, laying a crucial foundation for future functional investigations.
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Affiliation(s)
| | | | | | - Yan Bai
- Key Laboratory of Molecular Cytogenetics and Genetic Breeding of Heilongjiang Province, College of Life Science and Technology, Harbin Normal University, Harbin 150025, China; (X.Z.); (Y.Y.); (Y.S.); (C.G.)
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17
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Matilla AJ. Current Insights into Weak Seed Dormancy and Pre-Harvest Sprouting in Crop Species. PLANTS (BASEL, SWITZERLAND) 2024; 13:2559. [PMID: 39339534 PMCID: PMC11434978 DOI: 10.3390/plants13182559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 09/03/2024] [Accepted: 09/05/2024] [Indexed: 09/30/2024]
Abstract
During the domestication of crops, seed dormancy has been reduced or eliminated to encourage faster and more consistent germination. This alteration makes cultivated crops particularly vulnerable to pre-harvest sprouting, which occurs when mature crops are subjected to adverse environmental conditions, such as excessive rainfall or high humidity. Consequently, some seeds may bypass the normal dormancy period and begin to germinate while still attached to the mother plant before harvest. Grains affected by pre-harvest sprouting are characterized by increased levels of α-amylase activity, resulting in poor processing quality and immediate grain downgrading. In the agriculture industry, pre-harvest sprouting causes annual economic losses exceeding USD 1 billion worldwide. This premature germination is influenced by a complex interplay of genetic, biochemical, and molecular factors closely linked to environmental conditions like rainfall. However, the exact mechanism behind this process is still unclear. Unlike pre-harvest sprouting, vivipary refers to the germination process and the activation of α-amylase during the soft dough stage, when the grains are still immature. Mature seeds with reduced levels of ABA or impaired ABA signaling (weak dormancy) are more susceptible to pre-harvest sprouting. While high seed dormancy can enhance resistance to pre-harvest sprouting, it can lead to undesirable outcomes for most crops, such as non-uniform seedling establishment after sowing. Thus, resistance to pre-harvest sprouting is crucial to ensuring productivity and sustainability and is an agronomically important trait affecting yield and grain quality. On the other hand, seed color is linked to sprouting resistance; however, the genetic relationship between both characteristics remains unresolved. The identification of mitogen-activated protein kinase kinase-3 (MKK3) as the gene responsible for pre-harvest sprouting-1 (Phs-1) represents a significant advancement in our understanding of how sprouting in wheat is controlled at the molecular and genetic levels. In seed maturation, Viviparous-1 (Vp-1) plays a crucial role in managing pre-harvest sprouting by regulating seed maturation and inhibiting germination through the suppression of α-amylase and proteases. Vp-1 is a key player in ABA signaling and is essential for the activation of the seed maturation program. Mutants of Vp-1 exhibit an unpigmented aleurone cell layer and exhibit precocious germination due to decreased sensitivity to ABA. Recent research has also revealed that TaSRO-1 interacts with TaVp-1, contributing to the regulation of seed dormancy and resistance to pre-harvest sprouting in wheat. The goal of this review is to emphasize the latest research on pre-harvest sprouting in crops and to suggest possible directions for future studies.
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Affiliation(s)
- Angel J Matilla
- Departamento de Biología Funcional, Universidad de Santiago de Compostela, 14971 Santiago de Compostela, Spain
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Leonova IN, Ageeva EV, Shumny VK. Prospects for mineral biofortification of wheat: classical breeding and agronomy. Vavilovskii Zhurnal Genet Selektsii 2024; 28:523-535. [PMID: 39280848 PMCID: PMC11393657 DOI: 10.18699/vjgb-24-59] [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: 04/26/2024] [Revised: 05/23/2024] [Accepted: 05/27/2024] [Indexed: 09/18/2024] Open
Abstract
Low intake of micro- and macroelements and vitamins in food negatively affects the health of more than two billion people around the world provoking chronic diseases. For the majority of the world's population, these are soft and durum wheats that provide beneficial nutrients, however their modern high-yielding varieties have a significantly depleted grain mineral composition that have reduced mineral intake through food. Biofortification is a new research trend, whose main goal is to improve the nutritional qualities of agricultural crops using a set of classical (hybridization and selection) methods as well and the modern ones employing gene/QTL mapping, bioinformatic analysis, transgenesis, mutagenesis and genome editing. Using the classical breeding methods, biofortified varieties have been bred as a part of various international programs funded by HarvestPlus, CIMMYT, ICARDA. Despite the promise of transgenesis and genome editing, these labor-intensive methods require significant investments, so these technologies, when applied to wheat, are still at the development stage and cannot be applied routinely. In recent years, the interest in wheat biofortification has increased due to the advances in mapping genes and QTLs for agronomically important traits. The new markers obtained from wheat genome sequencing and application of bioinformatic methods (GWAS, meta-QTL analysis) has expanded our knowledge on the traits that determine the grain mineral concentration and has identified the key gene candidates. This review describes the current research on genetic biofortification of wheat in the world and in Russia and provides information on the use of cultivated and wild-relative germplasms to expand the genetic diversity of modern wheat varieties.
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Affiliation(s)
- I N Leonova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - E V Ageeva
- Siberian Research Institute of Plant Production and Breeding - Branch of the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Krasnoobsk, Novosibirsk region, Russia
| | - V K Shumny
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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Shamloo-Dashtpagerdi R, Tanin MJ, Aliakbari M, Saini DK. Unveiling the role of the ERD15 gene in wheat's tolerance to combined drought and salinity stress: a meta-analysis of QTL and RNA-Seq data. PHYSIOLOGIA PLANTARUM 2024; 176:e14570. [PMID: 39382027 DOI: 10.1111/ppl.14570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Revised: 09/26/2024] [Accepted: 09/26/2024] [Indexed: 10/10/2024]
Abstract
The coexistence of drought and salinity stresses in field conditions significantly hinders wheat (Triticum aestivum L.) productivity. Understanding the molecular mechanisms governing response and tolerance to these stresses is crucial for developing resilient wheat varieties. Our research, employing a combination of meta-QTL and meta-RNA-Seq transcriptome analyses, has uncovered the genome functional landscape of wheat in response to drought and salinity. We identified 118 meta-QTLs (MQTLs) distributed across all 21 wheat chromosomes, with ten designated as the most promising. Additionally, we found 690 meta-differentially expressed genes (mDEGs) shared between drought and salinity stress. Notably, our findings highlight the Early Responsive to Dehydration 15 (ERD15) gene, located in one of the most promising MQTLs, as a key gene in the shared gene network of drought and salinity stress. ERD15, differentially expressed between contrasting wheat genotypes under combined stress conditions, significantly regulates water relations, photosynthetic activity, antioxidant activity, and ion homeostasis. These findings not only provide valuable insights into the molecular genetic mechanisms underlying combined stress tolerance in wheat but also hold the potential to contribute significantly to the development of stress-resilient wheat varieties.
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Affiliation(s)
| | - Mohammad Jafar Tanin
- Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri, Columbia, MO, USA
- Department of Plant Breeding and Genetics, College of Agriculture, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Massume Aliakbari
- Department of Crop Production and Plant Breeding, Shiraz University, Shiraz, Iran
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, College of Agriculture, Punjab Agricultural University, Ludhiana, Punjab, India
- Department of Plant and Soil Science, Texas Tech University, Lubbock, Texas, USA
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20
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Liu H, Liu W, Wang Z, Li N, Xie Y, Zhao Y. Comprehensive analysis of Alfin-like transcription factors associated with drought and salt stresses in wheat (Triticum aestivum L.). BMC Genomics 2024; 25:701. [PMID: 39020295 PMCID: PMC11256656 DOI: 10.1186/s12864-024-10557-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 06/24/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND Alfin-like proteins are a kind of plant-specific transcription factors, and play vital roles in plant growth, development and stress responses. RESULTS In this study, a total of 27 Alfin-like transcription factors were identified in wheat. TaAL genes were unevenly distributed on chromosome. Phylogenetic analysis showed TaAL genes were divided into AL-B and AL-C subfamilies, and TaALs with closer evolutionary relationships generally shared more similar exon-intron structures and conserved motifs. The cis-acting element analysis showed MBS, ABRE and CGTCA-motif were the most common in TaAL promoters. The interacting proteins and downstream target genes of TaAL genes were also investigated in wheat. The transcriptome data and real-time PCR results indicated TaAL genes were differentially expressed under drought and salt stresses, and TaAL1-B was significantly up-regulated in response to drought stress. In addition, association analysis revealed that TaAL1-B-Hap-I allelic variation had significantly higher survival rate compared to TaAL1-B-Hap-II under drought stress. CONCLUSIONS These results will provide vital information to increase our understanding of the Alfin-like gene family in wheat, and help us in breeding better wheat varieties in the future.
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Affiliation(s)
- Hao Liu
- College of Agriculture, Ludong University, Yantai, 264000, China
| | - Wenyan Liu
- College of Agriculture, Ludong University, Yantai, 264000, China
| | - Ziyi Wang
- College of Agriculture, Ludong University, Yantai, 264000, China
| | - Na Li
- College of Agriculture, Henan University of Science and Technology, Luoyang, 471000, China.
| | - Yongfeng Xie
- College of Environment and Life Sciences, Weinan Normal University, Weinan, 714099, China.
| | - Yanhong Zhao
- College of Agriculture, Ludong University, Yantai, 264000, China.
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Wang M, Wang L, Wang S, Zhang J, Fu Z, Wu P, Yang A, Wu D, Sun G, Wang C. Identification and Analysis of lncRNA and circRNA Related to Wheat Grain Development. Int J Mol Sci 2024; 25:5484. [PMID: 38791522 PMCID: PMC11122269 DOI: 10.3390/ijms25105484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 05/04/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024] Open
Abstract
The role of lncRNA and circRNA in wheat grain development is still unclear. The objectives of this study were to characterize the lncRNA and circRNA in the wheat grain development and to construct the interaction network among lncRNA, circRNA, and their target miRNA to propose a lncRNA-circRNA-miRNA module related to wheat grain development. Full transcriptome sequencing on two wheat varieties (Annong 0942 and Anke 2005) with significant differences in 1000-grain weight at 10 d (days after pollination), 20 d, and 30 d of grain development were conducted. We detected 650, 736, and 609 differentially expressed lncRNA genes, and 769, 1054, and 1062 differentially expressed circRNA genes in the grains of 10 days, 20 days and 30 days after pollination between Annong 0942 and Anke 2005, respectively. An analysis of the lncRNA-miRNA and circRNA-miRNA targeting networks reveals that circRNAs exhibit a more complex and extensive interaction network in the development of cereal grains and the formation of grain shape. Central to these interactions are tae-miR1177, tae-miR1128, and tae-miR1130b-3p. In contrast, lncRNA genes only form a singular network centered around tae-miR1133 and tae-miR5175-5p when comparing between varieties. Further analysis is conducted on the underlying genes of all target miRNAs, we identified TaNF-YB1 targeted by tae-miR1122a and TaTGW-7B targeted by miR1130a as two pivotal regulatory genes in the development of wheat grains. The quantitative real-time PCR (qRT-PCR) and dual-luciferase reporter assays confirmed the target regulatory relationships between miR1130a-TaTGW-7B and miR1122a-TaNF-YB1. We propose a network of circRNA and miRNA-mediated gene regulation in the development of wheat grains.
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Affiliation(s)
- Meng Wang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
| | - Lu Wang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
| | - Shuanghong Wang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
| | - Junli Zhang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
| | - Zhe Fu
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
| | - Panpan Wu
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
| | - Anqi Yang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
| | - Dexiang Wu
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
| | - Genlou Sun
- Biology Department, Saint Mary’s University, Halifax, NS B3H 3C3, Canada
| | - Chengyu Wang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China (A.Y.); (C.W.)
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Wang Z, Lai X, Wang C, Yang H, Liu Z, Fan Z, Li J, Zhang H, Liu M, Zhang Y. Exploring the Drought Tolerant Quantitative Trait Loci in Spring Wheat. PLANTS (BASEL, SWITZERLAND) 2024; 13:898. [PMID: 38592925 PMCID: PMC10975456 DOI: 10.3390/plants13060898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/24/2024] [Accepted: 03/01/2024] [Indexed: 04/11/2024]
Abstract
Drought-induced stress poses a significant challenge to wheat throughout its growth, underscoring the importance of identifying drought-stable quantitative trait loci (QTLs) for enhancing grain yield. Here, we evaluated 18 yield-related agronomic and physiological traits, along with their drought tolerance indices, in a recombinant inbred line population derived from the XC7 × XC21 cross. These evaluations were conducted under both non-stress and drought-stress conditions. Drought stress significantly reduced grain weight per spike and grain yield per plot. Genotyping the recombinant inbred line population using the wheat 90K single nucleotide polymorphism array resulted in the identification of 131 QTLs associated with the 18 traits. Drought stress also exerted negative impacts on grain formation and filling, directly leading to reductions in grain weight per spike and grain yield per plot. Among the identified QTLs, 43 were specifically associated with drought tolerance across the 18 traits, with 6 showing direct linkages to drought tolerance in wheat. These results provide valuable insights into the genetic mechanisms governing wheat growth and development, as well as the traits contributing to the drought tolerance index. Moreover, they serve as a theoretical foundation for the development of new wheat cultivars having exceptional drought tolerance and high yield potentials under both drought-prone and drought-free conditions.
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Affiliation(s)
- Zhong Wang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Xiangjun Lai
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling 712100, China;
| | - Chunsheng Wang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Hongmei Yang
- Institute of Applied Microbiology, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China;
- Xinjiang Laboratory of Special Environmental Microbiology, Institute of Applied Microbiology, Urumqi 830091, China
| | - Zihui Liu
- Department of Biochemistry, Baoding University, Baoding 071000, China;
| | - Zheru Fan
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Jianfeng Li
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Hongzhi Zhang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
| | - Manshuang Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling 712100, China;
| | - Yueqiang Zhang
- Institute of Nuclear and Biological Technologies, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China; (Z.W.); (C.W.); (Z.F.); (J.L.); (H.Z.)
- Key Laboratory of Crop Ecophysiology and Farming System in Desert Oasis Region, Ministry of Agriculture, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
- Xinjiang Crop Chemical Control Engineering Technology Research Center, Institute of Nuclear and Biological Technologies, Urumqi 830091, China
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Li Z, Luo Q, Gan Y, Li X, Ou X, Deng Y, Fu S, Tang Z, Tan F, Luo P, Ren T. Identification and validation of major and stable quantitative trait locus for falling number in common wheat (Triticum aestivum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:83. [PMID: 38491113 DOI: 10.1007/s00122-024-04588-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: 01/08/2024] [Accepted: 02/22/2024] [Indexed: 03/18/2024]
Abstract
KEY MESSAGE A major and stable QTL, QFn.sau-1B.2, which can explain 13.6% of the PVE in FN and has a positive effect on resistance in SGR, was mapped and validated. The falling number (FN) is considered one of the most important quality traits of wheat grain and is the most important quality evaluation index for wheat trade worldwide. The quantitative trait loci (QTLs) for FN were mapped in three years of experiments. 23, 30, and 58 QTLs were identified using the ICIM-BIP, ICIM-MET, and ICIM-EPI methods, respectively. Among them, seven QTLs were considered stable. QFn.sau-1B.2, which was mapped to the 1BL chromosome, can explain 13.6% of the phenotypic variation on average and is considered a major and stable QTL for FN. This QTL was mapped in a 1 cM interval and is flanked by the markers AX-110409346 and AX-108743901. Epistatic analysis indicated that QFN.sau-1B.2 has a strong influence on FN through both additive and epistatic effects. The Kompetitive Allele-Specific PCR marker KASP-AX-108743901, which is closely linked to QFn.sau-1B.2, was designed. The genetic effect of QFn.sau-1B.2 on FN was successfully confirmed in Chuannong18 × T1208 and CN17 × CN11 populations. Moreover, the results of the additive effects of favorable alleles for FN showed that the QTLs for FN had significant effects not only on FN but also on the resistance to spike germination. Within the interval of QFn.sau-1B.2, 147 high-confidence genes were found. According to the gene annotation and the transcriptome data, four genes might be associated with FN. QFn.sau-1B.2 may provide a new resource for the high-quality breeding of wheat in the future.
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Affiliation(s)
- Zhi Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Qinyi Luo
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yujie Gan
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Xinli Li
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Xia Ou
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yawen Deng
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Shulan Fu
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Zongxiang Tang
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Feiquan Tan
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Peigao Luo
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Tianheng Ren
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
- Key Laboratory of Plant Genetics and Breeding at, Sichuan Agricultural University of Sichuan Province, Wenjiang, Chengdu, 611130, Sichuan, China.
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Hong Y, Zhang M, Yuan Z, Zhu J, Lv C, Guo B, Wang F, Xu R. Genome-wide association studies reveal stable loci for wheat grain size under different sowing dates. PeerJ 2024; 12:e16984. [PMID: 38426132 PMCID: PMC10903348 DOI: 10.7717/peerj.16984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/30/2024] [Indexed: 03/02/2024] Open
Abstract
Background Wheat (Tritium aestivum L.) production is critical for global food security. In recent years, due to climate change and the prolonged growing period of rice varieties, the delayed sowing of wheat has resulted in a loss of grain yield in the area of the middle and lower reaches of the Yangtze River. It is of great significance to screen for natural germplasm resources of wheat that are resistant to late sowing and to explore genetic loci that stably control grain size and yield. Methods A collection of 327 wheat accessions from diverse sources were subjected to genome-wide association studies using genotyping-by-sequencing. Field trials were conducted under normal, delayed, and seriously delayed sowing conditions for grain length, width, and thousand-grain weight at two sites. Additionally, the additive main effects and multiplicative interaction (AMMI) model was applied to evaluate the stability of thousand-grain weight of 327 accessions across multiple sowing dates. Results Four wheat germplasm resources have been screened, demonstrating higher stability of thousand-grain weight. A total of 43, 35, and 39 significant MTAs were determined across all chromosomes except for 4D under the three sowing dates, respectively. A total of 10.31% of MTAs that stably affect wheat grain size could be repeatedly identified in at least two sowing dates, with PVE ranging from 0.03% to 38.06%. Among these, six were for GL, three for GW, and one for TGW. There were three novel and stable loci (4A_598189950, 4B_307707920, 2D_622241054) located in conserved regions of the genome, which provide excellent genetic resources for pyramid breeding strategies of superior loci. Our findings offer a theoretical basis for cultivar improvement and marker-assisted selection in wheat breeding practices.
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Affiliation(s)
- Yi Hong
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Joint International Research Laborat, Yangzhou University, Yangzhou, China
| | - Mengna Zhang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Joint International Research Laborat, Yangzhou University, Yangzhou, China
| | - Zechen Yuan
- Jiangsu Internet Agricultural Development Center, Nanjing, China
| | - Juan Zhu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Joint International Research Laborat, Yangzhou University, Yangzhou, China
| | - Chao Lv
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Joint International Research Laborat, Yangzhou University, Yangzhou, China
| | - Baojian Guo
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Joint International Research Laborat, Yangzhou University, Yangzhou, China
| | - Feifei Wang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Joint International Research Laborat, Yangzhou University, Yangzhou, China
| | - Rugen Xu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Joint International Research Laborat, Yangzhou University, Yangzhou, China
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Liu H, Wang X, Yang W, Liu W, Wang Y, Wang Q, Zhao Y. Identification of Whirly transcription factors in Triticeae species and functional analysis of TaWHY1-7D in response to osmotic stress. FRONTIERS IN PLANT SCIENCE 2023; 14:1297228. [PMID: 38116153 PMCID: PMC10728677 DOI: 10.3389/fpls.2023.1297228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/20/2023] [Indexed: 12/21/2023]
Abstract
Osmotic stress poses a threat to the production and quality of crops. Whirly transcription factors have been investigated to enhance stress tolerance. In this study, a total of 18 Whirly genes were identified from six Triticeae species, which were classified into Whirly1 and Whirly2. The exon-intron structure, conserved motif, chromosomal location, collinearity, and regulatory network of Whirly genes were also analyzed. Real-time PCR results indicated that TaWHY1 genes exhibited higher expression levels in leaf sheaths and leaves during the seedling stage, while TaWHY2 genes were predominantly expressed in roots. Under PEG stress, the expression levels of TaWHY1-7A, TaWHY2-6A, TaWHY2-6B, and TaWHY2-6D were increased, TaWHY1-7D was reduced, and TaWHY1-4A had no significant change. All TaWHY genes were significantly up-regulated in response to NaCl stress treatment. In addition, TaWHY1-7A and TaWHY1-7D mainly enhanced the tolerance to oxidative stress in yeast cells. TaWHY2s mainly improved NaCl stress tolerance and were sensitive to oxidative stress in yeast cells. All TaWHYs slightly improved the yeast tolerance to d-sorbitol stress. The heterologous expression of TaWHY1-7D greatly improved drought and salt tolerance in transgenic Arabidopsis. In conclusion, these results provide the foundation for further functional study of Whirly genes aimed at improving osmotic stress tolerance in wheat.
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Affiliation(s)
- Hao Liu
- College of Agriculture, Ludong University, Yantai, China
| | - Xiaoyu Wang
- College of Chemical and Biological Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Wenbo Yang
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Wenyan Liu
- College of Agriculture, Ludong University, Yantai, China
| | - Yanfang Wang
- College of Life Science, Ludong University, Yantai, China
| | - Qin Wang
- Department of Biochemistry and Molecular Biology, Binzhou Medical University, Yantai, China
| | - Yanhong Zhao
- College of Agriculture, Ludong University, Yantai, China
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Sharma D, Kumari A, Sharma P, Singh A, Sharma A, Mir ZA, Kumar U, Jan S, Parthiban M, Mir RR, Bhati P, Pradhan AK, Yadav A, Mishra DC, Budhlakoti N, Yadav MC, Gaikwad KB, Singh AK, Singh GP, Kumar S. Meta-QTL analysis in wheat: progress, challenges and opportunities. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:247. [PMID: 37975911 DOI: 10.1007/s00122-023-04490-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/16/2023] [Indexed: 11/19/2023]
Abstract
Wheat, an important cereal crop globally, faces major challenges due to increasing global population and changing climates. The production and productivity are challenged by several biotic and abiotic stresses. There is also a pressing demand to enhance grain yield and quality/nutrition to ensure global food and nutritional security. To address these multifaceted concerns, researchers have conducted numerous meta-QTL (MQTL) studies in wheat, resulting in the identification of candidate genes that govern these complex quantitative traits. MQTL analysis has successfully unraveled the complex genetic architecture of polygenic quantitative traits in wheat. Candidate genes associated with stress adaptation have been pinpointed for abiotic and biotic traits, facilitating targeted breeding efforts to enhance stress tolerance. Furthermore, high-confidence candidate genes (CGs) and flanking markers to MQTLs will help in marker-assisted breeding programs aimed at enhancing stress tolerance, yield, quality and nutrition. Functional analysis of these CGs can enhance our understanding of intricate trait-related genetics. The discovery of orthologous MQTLs shared between wheat and other crops sheds light on common evolutionary pathways governing these traits. Breeders can leverage the most promising MQTLs and CGs associated with multiple traits to develop superior next-generation wheat cultivars with improved trait performance. This review provides a comprehensive overview of MQTL analysis in wheat, highlighting progress, challenges, validation methods and future opportunities in wheat genetics and breeding, contributing to global food security and sustainable agriculture.
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Affiliation(s)
- Divya Sharma
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | - Anita Kumari
- Department of Botany, University of Delhi, Delhi, India
| | - Priya Sharma
- Department of Botany, University of Delhi, Delhi, India
| | - Anupma Singh
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | - Anshu Sharma
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | - Zahoor Ahmad Mir
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | - Uttam Kumar
- Borlaug Institute for South Asia (BISA), Ludhiana, India
| | - Sofora Jan
- Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Srinagar, Kashmir, India
| | - M Parthiban
- Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Srinagar, Kashmir, India
| | - Reyazul Rouf Mir
- Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Srinagar, Kashmir, India
| | - Pradeep Bhati
- Borlaug Institute for South Asia (BISA), Ludhiana, India
| | - Anjan Kumar Pradhan
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | - Aakash Yadav
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | | | - Neeraj Budhlakoti
- ICAR- Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mahesh C Yadav
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | - Kiran B Gaikwad
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Amit Kumar Singh
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
| | | | - Sundeep Kumar
- ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India.
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López-Fernández M, García-Abadillo J, Uauy C, Ruiz M, Giraldo P, Pascual L. Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:244. [PMID: 37957405 PMCID: PMC10643358 DOI: 10.1007/s00122-023-04492-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023]
Abstract
KEY MESSAGE Association mapping conducted in 189 Spanish bread wheat landraces revealed six key genomic regions that constitute stable QTLs for yield and include 15 candidate genes. Genetically diverse landraces provide an ideal population to conduct association analysis. In this study, association mapping was conducted in a collection of 189 Spanish bread wheat landraces whose genomic diversity had been previously assessed. These genomic data were combined with characterization for yield-related traits, including grain size and shape, and phenological traits screened across five seasons. The association analysis revealed a total of 881 significant marker trait associations, involving 434 markers across the genome, that could be grouped in 366 QTLs based on linkage disequilibrium. After accounting for days to heading, we defined 33 high density QTL genomic regions associated to at least four traits. Considering the importance of detecting stable QTLs, 6 regions associated to several grain traits and thousand kernel weight in at least three environments were selected as the most promising ones to harbour targets for breeding. To dissect the genetic cause of the observed associations, we studied the function and in silico expression of the 413 genes located inside these six regions. This identified 15 candidate genes that provide a starting point for future analysis aimed at the identification and validation of wheat yield related genes.
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Affiliation(s)
- Matilde López-Fernández
- Department of Biotechnology-Plant Biology, School of Agricultural, Food and Biosystems Engineering (ETSIAAB), Universidad Politécnica de Madrid (UPM), Madrid, Spain
| | - Julián García-Abadillo
- Department of Biotechnology and Plant Biology, Centre for Biotechnology and Plant Genomics (CBGP), Universidad Politécnica de Madrid (UPM), Madrid, Spain
| | - Cristobal Uauy
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
| | - Magdalena Ruiz
- Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA), CSIC, Autovía A2, Km. 36.2. Finca La Canaleja, 28805, Alcalá de Henares, Madrid, Spain
| | - Patricia Giraldo
- Department of Biotechnology-Plant Biology, School of Agricultural, Food and Biosystems Engineering (ETSIAAB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.
| | - Laura Pascual
- Department of Biotechnology-Plant Biology, School of Agricultural, Food and Biosystems Engineering (ETSIAAB), Universidad Politécnica de Madrid (UPM), Madrid, Spain
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28
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Kaur H, Sharma P, Kumar J, Singh VK, Vasistha NK, Gahlaut V, Tyagi V, Verma SK, Singh S, Dhaliwal HS, Sheikh I. Genetic analysis of iron, zinc and grain yield in wheat-Aegilops derivatives using multi-locus GWAS. Mol Biol Rep 2023; 50:9191-9202. [PMID: 37776411 DOI: 10.1007/s11033-023-08800-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 09/05/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND Wheat is a major staple crop and helps to reduce worldwide micronutrient deficiency. Investigating the genetics that control the concentrations of iron (Fe) and zinc (Zn) in wheat is crucial. Hence, we undertook a comprehensive study aimed at elucidating the genomic regions linked to the contents of Fe and Zn in the grain. METHODS AND RESULTS We performed the multi-locus genome-wide association (ML-GWAS) using a panel of 161 wheat-Aegilops substitution and addition lines to dissect the genomic regions controlling grain iron (GFeC), and grain zinc (GZnC) contents. The wheat panel was genotyped using 10,825 high-quality SNPs and phenotyped in three different environments (E1-E3) during 2017-2019. A total of 111 marker-trait associations (MTAs) (at p-value < 0.001) were detected that belong to all three sub-genomes of wheat. The highest number of MTAs were identified for GFeC (58), followed by GZnC (44) and yield (9). Further, six stable MTAs were identified for these three traits and also two pleiotropic MTAs were identified for GFeC and GZnC. A total of 1291 putative candidate genes (CGs) were also identified for all three traits. These CGs encode a diverse set of proteins, including heavy metal-associated (HMA), bZIP family protein, AP2/ERF, and protein previously associated with GFeC, GZnC, and grain yield. CONCLUSIONS The significant MTAs and CGs pinpointed in this current study are poised to play a pivotal role in enhancing both the nutritional quality and yield of wheat, utilizing marker-assisted selection (MAS) techniques.
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Affiliation(s)
- Harneet Kaur
- Department of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India
| | - Prachi Sharma
- Department of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India
| | - Jitendra Kumar
- National Agri-Food Biotechnology Institute, Sector-81, Mohali, Punjab, 140306, India
| | - Vikas Kumar Singh
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P., 250004, India
| | - Neeraj Kumar Vasistha
- Department of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India
- Department of Genetics and Plant Breeding, Rajiv Gandhi University, Itanagar, India
| | - Vijay Gahlaut
- Department of Biotechnology, Chandigarh University, Gharuan, Mohali, Punjab, 140413, India.
- University Center for Research and Development, Chandigarh University, Gharuan, Mohali, Punjab, 140413, India.
| | - Vikrant Tyagi
- Department of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India
| | | | - Sukhwinder Singh
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, Texcoco, Mexico
- USDA-ARS, Southeast Area, Subtropical Horticulture Research Station, 13601 Old Cutler Road, Miami, FL, 33158, USA
| | - H S Dhaliwal
- Department of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India
| | - Imran Sheikh
- Department of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India.
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29
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Sharma H, Shayaba, Kumar R, Kumar J, Bhadana D, Batra R, Singh R, Kumar S, Roy JK, Balyan HS, Gupta PK. Comparative analysis of VMT genes/proteins in selected plant species with emphasis on bread wheat (Triticum aestivum L.). Genes Genomics 2023; 45:1445-1461. [PMID: 37493927 DOI: 10.1007/s13258-023-01427-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 07/09/2023] [Indexed: 07/27/2023]
Abstract
BACKGROUND In recent years, the study of molecular basis of uptake, transport and utilization of grain Fe/Zn (GFe/GZn) in wheat has been an active area of research. As a result, it has been shown that a number of transporters are involved in uptake and transport of Fe. In a recent study, knockout of a transporter gene OsVMT (VACUOLAR MUGINEIC ACID TRANSPORTER) in rice was shown to be involved in Fe homoeostasis. OBJECTIVE In this study, we analysed VMT genes among six monocots and three dicots with major emphasis on wheat VMT genes (TaVMTs), taking OsVMT gene as a reference. METHODS AND RESULTS Using OsVMT gene as a reference, VMT genes were identified and sequence similarities were examined among six monocots and three dicots. Each VMT protein carried one functional domain and 7 to 10 distinct motifs (including 9 novel motifs). The qRT-PCR analysis showed differential expression by all the six TaVMT genes in pairs of contrasting wheat genotypes with high (FAR4 and WB02) and low (K8027 and HD3226) GFe/GZn at two different grain filling stages (14 DAA and 28 DAA). TaVMT1 genes showed up-regulation in high GFe/Zn genotypes relative to low GFe/Zn genotypes, whereas the TaVMT2 genes showed down-regulation or nonsignificant up-regulation in a few cases. CONCLUSIONS At 14 DAA, each of the six TaVMT genes exhibited higher expression in wheat genotypes with high GFe and GZn relative to those with low GFe and GZn, suggesting major role of VMT genes in improvement of grain Fe/Zn homoeostasis, thus making TaVMT genes useful for improvement in Fe/Zn in wheat grains.
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Affiliation(s)
- Hemant Sharma
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP, India
| | - Shayaba
- Multanimal Modi College, Modinagar, Ghaziabad, UP, India
| | - Rahul Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP, India.
| | - Jitendra Kumar
- National Agri-Food Biotechnology Institute, Mohali, Punjab, India
| | - Deepa Bhadana
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP, India
| | - Ritu Batra
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP, India
| | - Rakhi Singh
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP, India
| | - Sachin Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP, India
| | - Joy K Roy
- National Agri-Food Biotechnology Institute, Mohali, Punjab, India
| | - Harindra S Balyan
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP, India
| | - Pushpendra K Gupta
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP, India
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30
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Valladares García AP, Desiderio F, Simeone R, Ravaglia S, Ciorba R, Fricano A, Guerra D, Blanco A, Cattivelli L, Mazzucotelli E. QTL mapping for kernel-related traits in a durum wheat x T. dicoccum segregating population. FRONTIERS IN PLANT SCIENCE 2023; 14:1253385. [PMID: 37849841 PMCID: PMC10577384 DOI: 10.3389/fpls.2023.1253385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 08/28/2023] [Indexed: 10/19/2023]
Abstract
Durum wheat breeding relies on grain yield improvement to meet its upcoming demand while coping with climate change. Kernel size and shape are the determinants of thousand kernel weight (TKW), which is a key component of grain yield, and the understanding of the genetic control behind these traits supports the progress in yield potential. The present study aimed to dissect the genetic network responsible for kernel size components (length, width, perimeter, and area) and kernel shape traits (width-to-length ratio and formcoefficient) as well as their relationships with kernel weight, plant height, and heading date in durum wheat. Quantitative Trait Locus (QTL) mapping was performed on a segregating population of 110 recombinant inbred lines, derived from a cross between the domesticated emmer wheat accession MG5323 and the durum wheat cv. Latino, evaluated in four different environments. A total of 24 QTLs stable across environments were found and further grouped in nine clusters on chromosomes 2A, 2B, 3A, 3B, 4B, 6B, and 7A. Among them, a QTL cluster on chromosome 4B was associated with kernel size traits and TKW, where the parental MG5323 contributed the favorable alleles, highlighting its potential to improve durum wheat germplasm. The physical positions of the clusters, defined by the projection on the T. durum reference genome, overlapped with already known genes (i.e., BIG GRAIN PROTEIN 1 on chromosome 4B). These results might provide genome-based guidance for the efficient exploitation of emmer wheat diversity in wheat breeding, possibly through yield-related molecular markers.
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Affiliation(s)
- Ana Paola Valladares García
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universitat Politècnica de València, Valencia, Spain
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Francesca Desiderio
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Rosanna Simeone
- Department of Soil, Plant and Food Sciences (DiSSPA), Genetics and Plant Breeding Section, University of Bari Aldo Moro, Bari, Italy
| | | | - Roberto Ciorba
- Council for Agricultural Research and Economics (CREA) - Research Centre for Olive, Fruit and Citrus Crops, Rome, Italy
| | - Agostino Fricano
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Davide Guerra
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Antonio Blanco
- Department of Soil, Plant and Food Sciences (DiSSPA), Genetics and Plant Breeding Section, University of Bari Aldo Moro, Bari, Italy
| | - Luigi Cattivelli
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
| | - Elisabetta Mazzucotelli
- Council for Agricultural Research and Economics (CREA) - Research Centre for Genomics and Bioinformatics, Fiorenzuola d’Arda, Italy
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31
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Mao H, Jiang C, Tang C, Nie X, Du L, Liu Y, Cheng P, Wu Y, Liu H, Kang Z, Wang X. Wheat adaptation to environmental stresses under climate change: Molecular basis and genetic improvement. MOLECULAR PLANT 2023; 16:1564-1589. [PMID: 37671604 DOI: 10.1016/j.molp.2023.09.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/19/2023] [Accepted: 09/01/2023] [Indexed: 09/07/2023]
Abstract
Wheat (Triticum aestivum) is a staple food for about 40% of the world's population. As the global population has grown and living standards improved, high yield and improved nutritional quality have become the main targets for wheat breeding. However, wheat production has been compromised by global warming through the more frequent occurrence of extreme temperature events, which have increased water scarcity, aggravated soil salinization, caused plants to be more vulnerable to diseases, and directly reduced plant fertility and suppressed yield. One promising option to address these challenges is the genetic improvement of wheat for enhanced resistance to environmental stress. Several decades of progress in genomics and genetic engineering has tremendously advanced our understanding of the molecular and genetic mechanisms underlying abiotic and biotic stress responses in wheat. These advances have heralded what might be considered a "golden age" of functional genomics for the genetic improvement of wheat. Here, we summarize the current knowledge on the molecular and genetic basis of wheat resistance to abiotic and biotic stresses, including the QTLs/genes involved, their functional and regulatory mechanisms, and strategies for genetic modification of wheat for improved stress resistance. In addition, we also provide perspectives on some key challenges that need to be addressed.
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Affiliation(s)
- Hude Mao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Cong Jiang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chunlei Tang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiaojun Nie
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, 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
| | - Yuling Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Peng Cheng
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yunfeng Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Huiquan Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, 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.
| | - Xiaojie Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China.
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32
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Sun M, Luo Q, Zheng Q, Tong J, Wang Y, Song J, Zhang Y, Pu Z, Zheng J, Liu L, Zhou A, Rasheed A, Li M, Cao S, Xia X, He Z, Hao Y. Molecular characterization of stable QTL and putative candidate genes for grain zinc and iron concentrations in two related wheat populations. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:217. [PMID: 37782334 DOI: 10.1007/s00122-023-04467-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: 04/25/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023]
Abstract
KEY MESSAGE Major QTL for grain zinc and iron concentrations were identified on the long arm of chromosomes 2D and 6D. Gene-based KASP markers were developed for putative candidate genes TaIPK1-2D and TaNAS10-6D. Micronutrient malnutrition is one of the most common public health problems in the world. Biofortification, the most attractive and sustainable solution to surmount malnutrition requires the development of micronutrient enriched new crop cultivars. In this study, two recombinant inbred line (RIL) populations, ZM175/XY60 and ZM175/LX987, were used to identify QTL for grain zinc concentration (GZnC), grain iron concentration (GFeC) and thousand grain weight (TGW). Eight QTL for GZnC, six QTL for GFeC and five QTL for TGW were detected. Three QTL on chromosomes 2DL and 4BS and chromosome 6A showed pleiotropic effects on all three traits. The 4BS and 6A QTL also increased plant height and might be Rht-B1a and Rht25a, respectively. The 2DL locus within a suppressed recombination region was identified in both RIL populations and the favorable allele simultaneously increasing GZnC, GFeC and TGW was contributed by XY60 and LX987. A QTL on chromosome 6DL associated only with GZnC was detected in ZM175/XY60 and was validated in JD8/AK58 RILs using kompetitive allele-specific PCR (KASP) marker K_AX-110119937. Both the 2DL and 6DL QTL were new loci for GZnC. Based on gene annotations, sequence variations and expression profiles, the phytic acid biosynthesis gene TaIPK1-2D and nicotianamine synthase gene TaNAS10-6D were predicted as candidate genes. Their gene-based KASP markers were developed and validated in a cultivar panel of 343 wheat accessions. This study investigated the genetic basis of GZnC and GFeC and provided valuable candidate genes and markers for breeding Zn- and Fe-enriched wheat.
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Affiliation(s)
- Mengjing Sun
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Qiaoling Luo
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Qi Zheng
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jingyang Tong
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Yue Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Jie Song
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Yelun Zhang
- Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences/Hebei Laboratory of Crop Genetics and Breeding, Shijiazhuang, 050031, Hebei, China
| | - Zongjun Pu
- Institute of Crop Sciences, Sichuan Academy of Agricultural Sciences, Chengdu, 610066, Sichuan, China
| | - Jianmin Zheng
- Institute of Crop Sciences, Sichuan Academy of Agricultural Sciences, Chengdu, 610066, Sichuan, China
| | - Lianzheng Liu
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830000, Xinjiang, China
| | - Anding Zhou
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830000, Xinjiang, China
| | - Awais Rasheed
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan
| | - Ming Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Shuanghe Cao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xianchun Xia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
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Taranto F, Esposito S, De Vita P. Genomics for Yield and Yield Components in Durum Wheat. PLANTS (BASEL, SWITZERLAND) 2023; 12:2571. [PMID: 37447132 DOI: 10.3390/plants12132571] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/29/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023]
Abstract
In recent years, many efforts have been conducted to dissect the genetic basis of yield and yield components in durum wheat thanks to linkage mapping and genome-wide association studies. In this review, starting from the analysis of the genetic bases that regulate the expression of yield for developing new durum wheat varieties, we have highlighted how, currently, the reductionist approach, i.e., dissecting the yield into its individual components, does not seem capable of ensuring significant yield increases due to diminishing resources, land loss, and ongoing climate change. However, despite the identification of genes and/or chromosomal regions, controlling the grain yield in durum wheat is still a challenge, mainly due to the polyploidy level of this species. In the review, we underline that the next-generation sequencing (NGS) technologies coupled with improved wheat genome assembly and high-throughput genotyping platforms, as well as genome editing technology, will revolutionize plant breeding by providing a great opportunity to capture genetic variation that can be used in breeding programs. To date, genomic selection provides a valuable tool for modeling optimal allelic combinations across the whole genome that maximize the phenotypic potential of an individual under a given environment.
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Affiliation(s)
- Francesca Taranto
- Institute of Biosciences and Bioresources (CNR-IBBR), 70126 Bari, Italy
| | - Salvatore Esposito
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA-Council for Agricultural Research and Economics, 71122 Foggia, Italy
| | - Pasquale De Vita
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA-Council for Agricultural Research and Economics, 71122 Foggia, Italy
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Jabran M, Ali MA, Zahoor A, Muhae-Ud-Din G, Liu T, Chen W, Gao L. Intelligent reprogramming of wheat for enhancement of fungal and nematode disease resistance using advanced molecular techniques. FRONTIERS IN PLANT SCIENCE 2023; 14:1132699. [PMID: 37235011 PMCID: PMC10206142 DOI: 10.3389/fpls.2023.1132699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/19/2023] [Indexed: 05/28/2023]
Abstract
Wheat (Triticum aestivum L.) diseases are major factors responsible for substantial yield losses worldwide, which affect global food security. For a long time, plant breeders have been struggling to improve wheat resistance against major diseases by selection and conventional breeding techniques. Therefore, this review was conducted to shed light on various gaps in the available literature and to reveal the most promising criteria for disease resistance in wheat. However, novel techniques for molecular breeding in the past few decades have been very fruitful for developing broad-spectrum disease resistance and other important traits in wheat. Many types of molecular markers such as SCAR, RAPD, SSR, SSLP, RFLP, SNP, and DArT, etc., have been reported for resistance against wheat pathogens. This article summarizes various insightful molecular markers involved in wheat improvement for resistance to major diseases through diverse breeding programs. Moreover, this review highlights the applications of marker assisted selection (MAS), quantitative trait loci (QTL), genome wide association studies (GWAS) and the CRISPR/Cas-9 system for developing disease resistance against most important wheat diseases. We also reviewed all reported mapped QTLs for bunts, rusts, smuts, and nematode diseases of wheat. Furthermore, we have also proposed how the CRISPR/Cas-9 system and GWAS can assist breeders in the future for the genetic improvement of wheat. If these molecular approaches are used successfully in the future, they can be a significant step toward expanding food production in wheat crops.
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Affiliation(s)
- Muhammad Jabran
- State Key Laboratory for Biology of Plant Diseases, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Muhammad Amjad Ali
- Department of Plant Pathology, University of Agriculture, Faisalabad, Pakistan
| | - Adil Zahoor
- Department of Biotechnology, Chonnam National University, Yeosu, Republic of Korea
| | - Ghulam Muhae-Ud-Din
- State Key Laboratory for Biology of Plant Diseases, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Taiguo Liu
- State Key Laboratory for Biology of Plant Diseases, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wanquan Chen
- State Key Laboratory for Biology of Plant Diseases, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Li Gao
- State Key Laboratory for Biology of Plant Diseases, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
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Kumar S, Kumar H, Gupta V, Kumar A, Singh CM, Kumar M, Singh AK, Panwar GS, Kumar S, Singh AK, Kumar R. Capturing agro-morphological variability for tolerance to terminal heat and combined heat-drought stress in landraces and elite cultivar collection of wheat. FRONTIERS IN PLANT SCIENCE 2023; 14:1136455. [PMID: 37251757 PMCID: PMC10214469 DOI: 10.3389/fpls.2023.1136455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 04/05/2023] [Indexed: 05/31/2023]
Abstract
Climate change has resulted in extreme temperature and drought around the globe, which poses serious threat to food security. Both heat and drought stress affects the production and productivity of wheat crop. The present study was undertaken to evaluate 34 landraces and elite cultivars of Triticum spp. for phenological and yield-related traits under optimum, heat, and combined heat-drought stress environments during 2020-2021 and 2021-2022. The pooled analysis of variance showed significant genotype × environment interaction, suggesting an influence of stress on trait expression. The trait performance of genotypes exhibited significant reduction under combined heat-drought stress as compared to optimum and heat stress environments. The maximum seed yield penalty was observed under combined heat-drought stress environment as compared to heat stress alone. Regression analysis indicated significant contribution of number of grains per spike towards stress tolerance. Based on Stress Tolerance Index (STI), genotypes Local-17, PDW 274, HI-8802, and HI-8713 were identified to be tolerant to both heat and combined heat and drought stress at Banda, whereas genotypes DBW 187, HI-8777, Raj 4120, and PDW 274 were tolerant at Jhansi location. The genotype PDW 274 showed stress tolerance under all treatments at both the locations. The genotypes PDW 233 and PDW 291 showed highest stress susceptibility index (SSI) across the environments. The number of grains per spike and test kernel weight were positively associated with seed yield across the environments and locations. The selected genotypes Local-17, HI 8802, and PDW 274 were identified to be the potential sources of heat and combined heat-drought tolerance, which may be utilized in hybridization to develop tolerant wheat genotypes and also for mapping of underlying genes/quantitative trait loci (QTLs).
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Affiliation(s)
- Shubham Kumar
- Department of Genetics and Plant Breeding, Banda University of Agriculture and Technology, Banda, India
| | - Hitesh Kumar
- Department of Genetics and Plant Breeding, Banda University of Agriculture and Technology, Banda, India
| | - Vikas Gupta
- Crop Improvement Division, Indian Council of Agricultural Research (ICAR)-Indian Institute of Wheat and Barley Research, Karnal, India
| | - Adesh Kumar
- Krishi Vigyan Kendra, Jhansi, Banda University of Agriculture and Technology, Banda, India
| | - Chandra Mohan Singh
- Department of Genetics and Plant Breeding, Banda University of Agriculture and Technology, Banda, India
| | - Mukul Kumar
- Department of Genetics and Plant Breeding, Banda University of Agriculture and Technology, Banda, India
| | - Ajay Kumar Singh
- Department of Genetics and Plant Breeding, Banda University of Agriculture and Technology, Banda, India
| | - Gurusharan Singh Panwar
- Department of Genetics and Plant Breeding, Banda University of Agriculture and Technology, Banda, India
| | - Sujit Kumar
- Uttar Pradesh (UP) Council of Agricultural Research, Lucknow, India
| | - Akhilesh Kumar Singh
- Department of Genetics and Plant Breeding, Banda University of Agriculture and Technology, Banda, India
| | - Rahul Kumar
- Department of Plant Science and Landscape Architecture, University of Connecticut, Storrs, CT, United States
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Kumar A, Saini DK, Saripalli G, Sharma PK, Balyan HS, Gupta PK. Meta-QTLs, ortho-meta QTLs and related candidate genes for yield and its component traits under water stress in wheat ( Triticum aestivum L.). PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2023; 29:525-542. [PMID: 37187772 PMCID: PMC10172426 DOI: 10.1007/s12298-023-01301-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 03/25/2023] [Accepted: 03/28/2023] [Indexed: 05/17/2023]
Abstract
Meta-QTLs (MQTLs), ortho-MQTLs, and related candidate genes (CGs) for yield and its seven component traits evaluated under water deficit conditions were identified in wheat. For this purpose, a high density consensus map and 318 known QTLs were used for identification of 56 MQTLs. Confidence intervals (CIs) of the MQTLs were narrower (0.7-21 cM; mean = 5.95 cM) than the CIs of the known QTLs (0.4-66.6 cM; mean = 12.72 cM). Forty-seven MQTLs were co-located with marker trait associations reported in previous genome-wide association studies. Nine selected MQTLs were declared as 'breeders MQTLs' for use in marker-assisted breeding (MAB). Utilizing known MQTLs and synteny/collinearity among wheat, rice and maize, 12 ortho-MQTLs were also identified. A total of 1497 CGs underlying MQTLs were also identified, which were subjected to in-silico expression analysis, leading to identification of 64 differentially expressed CGs (DECGs) under normal and water deficit conditions. These DECGs encoded a variety of proteins, including the following: zinc finger, cytochrome P450, AP2/ERF domain-containing proteins, plant peroxidase, glycosyl transferase, glycoside hydrolase. The expression of 12 CGs at seedling stage (3 h stress) was validated using qRT-PCR in two wheat genotypes, namely Excalibur (drought tolerant) and PBW343 (drought sensitive). Nine of the 12 CGs were up-regulated and three down-regulated in Excalibur. The results of the present study should prove useful for MAB, for fine mapping of promising MQTLs and for cloning of genes across the three cereals studied. Supplementary Information The online version contains supplementary material available at 10.1007/s12298-023-01301-z.
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Affiliation(s)
- Anuj Kumar
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India
| | | | - Gautam Saripalli
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD 20742 USA
| | - P. K. Sharma
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India
| | - H. S. Balyan
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India
| | - P. K. Gupta
- Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India
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Zhang X, Jiang X, Zhang Y, Ren J, Feng J, Quan W. Identification of QTL for reducing loss of grain yield under salt stress conditions in bi-parental populations derived from wheat landrace Hongmangmai. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:49. [PMID: 36913045 DOI: 10.1007/s00122-023-04290-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/26/2022] [Indexed: 06/18/2023]
Abstract
A novel QTL (QSt.nftec-2BL) was mapped to a 0.7 cM interval on chromosome 2B. Plants carrying QSt.nftec-2BL produced higher grain yields by up to 21.4% than otherwise in salinized fields. Wheat yield has been limited by soil salinity in many wheat-growing areas globally. The wheat landrace Hongmangmai (HMM) possesses salt tolerance as it produced higher grain yields than other tested wheat varieties including Early Premium (EP) under salt stresses. To detect QTL underlying this tolerance, wheat cross EP × HMM was chosen to serve as mapping population that was homozygous at Ppd (photoperiod response gene), Rht (reduced plant height gene) and Vrn (vernalization gene); thus, interference with QTL detection by these loci could be minimized. QTL mapping was conducted firstly using 102 recombinant inbred lines (RILs) that were selected from the EP × HMM population (827 RILs) for similarity in grain yield under non-saline condition. Under salt stresses, however, the 102 RILs varied significantly in grain yield. These RILs were genotyped using a 90 K SNP (single nucleotide polymorphism) array; consequently, a QTL (QSt.nftec-2BL) was detected on chromosome 2B. Then, using 827 RILs and new simple sequence repeat (SSR) markers developed according to the reference sequence IWGSC RefSeq v1.0, location of QSt.nftec-2BL was refined to a 0.7 cM (6.9 Mb) interval flanked by SSR markers 2B-557.23 and 2B-564.09. Selection for QSt.nftec-2BL was performed based on the flanking markers using two bi-parental wheat populations. Trials for validating effectiveness of the selection were conducted in salinized fields in two geographical areas and two crop seasons, demonstrating that wheat plants with the salt-tolerant allele in homozygous status at QSt.nftec-2BL produced higher grain yields by up to 21.4% than otherwise.
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Affiliation(s)
- Xiang Zhang
- National Fisheries Technology Extension Center, Beijing, 100125, People's Republic of China
| | - Xu Jiang
- Department of Plant Pathology, China Agricultural University, Beijing, 100193, People's Republic of China
- Liaoning Provincial Key Laboratory of Forest Protection, Liaoning Academy of Forestry Science, Shenyang, 110032, People's Republic of China
| | - Yibin Zhang
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, People's Republic of China
| | - Junda Ren
- Beijing University of Agriculture, Beijing, 102206, People's Republic of China
| | - Jing Feng
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
| | - Wei Quan
- Institute of Hybrid Wheat, Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, People's Republic of China.
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Kumar M, Kumar S, Sandhu KS, Kumar N, Saripalli G, Prakash R, Nambardar A, Sharma H, Gautam T, Balyan HS, Gupta PK. GWAS and genomic prediction for pre-harvest sprouting tolerance involving sprouting score and two other related traits in spring wheat. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:14. [PMID: 37313293 PMCID: PMC10248620 DOI: 10.1007/s11032-023-01357-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 01/26/2023] [Indexed: 06/15/2023]
Abstract
In wheat, a genome-wide association study (GWAS) and genomic prediction (GP) analysis were conducted for pre-harvest sprouting (PHS) tolerance and two of its related traits. For this purpose, an association panel of 190 accessions was phenotyped for PHS (using sprouting score), falling number, and grain color over two years and genotyped with 9904 DArTseq based SNP markers. GWAS for main-effect quantitative trait nucleotides (M-QTNs) using three different models (CMLM, SUPER, and FarmCPU) and epistatic QTNs (E-QTNs) using PLINK were performed. A total of 171 M-QTNs (CMLM, 47; SUPER, 70; FarmCPU, 54) for all three traits, and 15 E-QTNs involved in 20 first-order epistatic interactions were identified. Some of the above QTNs overlapped the previously reported QTLs, MTAs, and cloned genes, allowing delineating 26 PHS-responsive genomic regions that spread over 16 wheat chromosomes. As many as 20 definitive and stable QTNs were considered important for use in marker-assisted recurrent selection (MARS). The gene, TaPHS1, for PHS tolerance (PHST) associated with one of the QTNs was also validated using the KASP assay. Some of the M-QTNs were shown to have a key role in the abscisic acid pathway involved in PHST. Genomic prediction accuracies (based on the cross-validation approach) using three different models ranged from 0.41 to 0.55, which are comparable to the results of previous studies. In summary, the results of the present study improved our understanding of the genetic architecture of PHST and its related traits in wheat and provided novel genomic resources for wheat breeding based on MARS and GP. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01357-5.
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Affiliation(s)
- Manoj Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Sachin Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | | | - Neeraj Kumar
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC USA
| | - Gautam Saripalli
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD USA
| | - Ram Prakash
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Akash Nambardar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Hemant Sharma
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Tinku Gautam
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Harindra Singh Balyan
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
| | - Pushpendra Kumar Gupta
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, UP India
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Guo G, Xu S, Chen H, Hao Y, Mao H. QTL Mapping for Wheat Seed Dormancy in a Yangmai16/Zhongmai895 Double Haploid Population. PLANTS (BASEL, SWITZERLAND) 2023; 12:759. [PMID: 36840107 PMCID: PMC9967201 DOI: 10.3390/plants12040759] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/04/2023] [Accepted: 02/05/2023] [Indexed: 06/18/2023]
Abstract
Pre-harvest sprouting (PHS) of wheat reduces grain yield and quality, and it is strongly affected by seed dormancy. Therefore, identification of quantitative trait loci (QTL) for seed dormancy is essential for PHS resistance breeding. A doubled haploid (DH) population, consisting of 174 lines from the cross between Yangmai16 (YM16) and Zhongmai895 (ZM895) was used to detect QTLs for seed dormancy and grain color. For seed dormancy, a total of seven QTLs were detected on chromosomes 2A, 3A, 3D, 4D, 5B and 5D over four environments, among which Qdor.hzau-3A, Qdor.hzau-3D.1 and Qdor.hzau-3D.2 were stably detected in more than two environments. For grain color, only two QTLs, Qgc.hzau-3A and Qgc.hzau-3D were detected on chromosomes 3A and 3D, which physically overlapped with Qdor.hzau-3A and Qdor.hzau-3D.1, respectively. Qdor.hzau-3D.2 has never been reported elsewhere and is probably a novel locus with allelic effect of seed dormancy contributed by weakly dormant parent ZM895, and a KASP marker was developed and validated in a wheat natural population. This study provides new information on the genetic dissection of seed dormancy, which may aid in further improvement for marker-assisted wheat breeding for PHS resistance.
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Affiliation(s)
- Gang Guo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Shuhao Xu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Hao Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing 100081, China
| | - Hailiang Mao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
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Kumar S, DePauw RM, Kumar S, Kumar J, Kumar S, Pandey MP. Breeding and adoption of biofortified crops and their nutritional impact on human health. Ann N Y Acad Sci 2023; 1520:5-19. [PMID: 36479674 DOI: 10.1111/nyas.14936] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Micronutrient malnutrition has affected over two billion people worldwide and continues to be a health risk. A growing human population, poverty, and the prevalence of low dietary diversity are jointly responsible for malnutrition, particularly in developing nations. Inadequate bioavailability of key micronutrients, such as iron (Fe), zinc (Zn), and vitamin A, can be improved through agronomic and/or genetic interventions. The Consultative Group on International Agricultural Research prioritizes developing biofortified food crops that are rich in minerals and vitamins through the HarvestPlus initiative on biofortification. The objective of this review is to provide an overview of biofortified food crops along with evidence supporting their acceptability and adoption. Between 2004 and 2019, 242 biofortified varieties belonging to 11 major crops were released in 30 countries across Asia, Africa, and Latin America. These conventionally bred biofortified crops include Fe-enriched beans, pearl millet, and cowpea; Zn-enriched rice, wheat, and maize; both Fe- and Zn-enriched lentil and sorghum; and varieties with improved vitamin A in orange-fleshed sweet potato, maize, cassava, and banana/plantain. In addition to ongoing efforts, breeding innovations, such as speed breeding and CRISPR-based gene editing technologies, will be necessary for the next decade to reach two billion people with biofortified crops.
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Affiliation(s)
- Sachin Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, India
| | - Ron M DePauw
- Advancing Wheat Technologies, Calgary, Alberta, Canada
| | - Sudhir Kumar
- Department of Zoology, University of Lucknow, Lucknow, India
| | - Jitendra Kumar
- ICAR-Indian Institute of Pulses Research (IIPR), Kanpur, India
| | - Sourabh Kumar
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, India
| | - Madhav P Pandey
- Department of Genetics and Plant Breeding, Agriculture and Forestry University (AFU), Rampur, Nepal
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Broccanello C, Bellin D, DalCorso G, Furini A, Taranto F. Genetic approaches to exploit landraces for improvement of Triticum turgidum ssp. durum in the age of climate change. FRONTIERS IN PLANT SCIENCE 2023; 14:1101271. [PMID: 36778704 PMCID: PMC9911883 DOI: 10.3389/fpls.2023.1101271] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/09/2023] [Indexed: 06/18/2023]
Abstract
Addressing the challenges of climate change and durum wheat production is becoming an important driver for food and nutrition security in the Mediterranean area, where are located the major producing countries (Italy, Spain, France, Greece, Morocco, Algeria, Tunisia, Turkey, and Syria). One of the emergent strategies, to cope with durum wheat adaptation, is the exploration and exploitation of the existing genetic variability in landrace populations. In this context, this review aims to highlight the important role of durum wheat landraces as a useful genetic resource to improve the sustainability of Mediterranean agroecosystems, with a focus on adaptation to environmental stresses. We described the most recent molecular techniques and statistical approaches suitable for the identification of beneficial genes/alleles related to the most important traits in landraces and the development of molecular markers for marker-assisted selection. Finally, we outline the state of the art about landraces genetic diversity and signature of selection, already identified from these accessions, for adaptability to the environment.
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Affiliation(s)
| | - Diana Bellin
- Department of Biotechnology, University of Verona, Verona, Italy
| | | | - Antonella Furini
- Department of Biotechnology, University of Verona, Verona, Italy
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Padhy AK, Sharma A, Sharma H, Srivastava P, Singh S, Kaur P, Kaur J, Kaur S, Chhuneja P, Bains NS. Combining high carotenoid, grain protein content and rust resistance in wheat for food and nutritional security. Front Genet 2023; 14:1075767. [PMID: 36741327 PMCID: PMC9893017 DOI: 10.3389/fgene.2023.1075767] [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: 10/20/2022] [Accepted: 01/03/2023] [Indexed: 01/20/2023] Open
Abstract
Globally, malnutrition has given birth to an alarming predicament, especially in developing countries, and has extensively shifted consumer preferences from conventional high-energy diets to a nutritionally balanced, cost-effective, sustainable, and healthy lifestyle. In keeping with this view and the mandate for developing high-yielding, disease-resistant biofortified staple food (wheat) for catering to the demand-driven market, the current research aimed at stacking together the enhanced grain protein content, carotenoid content, and disease resistance in an elite bread wheat background. The Y gene (PsyE1) and the GpcB1 gene were used as novel sources for enhancing the grain carotenoid and protein content in the commercial elite bread wheat cultivar HD2967. The combination also led to the stacking of resistance against all three foliar rusts owing to linked resistance genes. A stepwise hybridization using Parent 1 (HD2967 + PsyE1/Lr19/Sr25) with Parent 2 (PBW550 + GpcB1/Yr36+ Yr15), coupled with a phenotypic-biochemical selection, narrowed down 2748 F2 individuals to a subset of 649 F2 plants for molecular screening. The gene-specific markers PsyE1, PsyD1, Xucw108, and Xbarc8 for the genes PsyE1, PsyD1, GpcB1, and Yr15, respectively, were employed for forward selection. Four bread wheat lines positive for all the desired genes with high carotenoid (>8ppm) and protein (>13%) content were raised to the F5 generation and will be evaluated for yield potential after bulking. These improved advanced breeding lines developed following multipronged efforts should prove a valuable and unique source for the development of cultivars with improved nutritional quality and rust resistance in wheat breeding programs.
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43
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Raj SRG, Nadarajah K. QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals. Int J Mol Sci 2022; 24:6. [PMID: 36613450 PMCID: PMC9820233 DOI: 10.3390/ijms24010006] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/06/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
At least 75% of the world's grain production comes from the three most important cereal crops: rice (Oryza sativa), wheat (Triticum aestivum), and maize (Zea mays). However, abiotic stressors such as heavy metal toxicity, salinity, low temperatures, and drought are all significant hazards to the growth and development of these grains. Quantitative trait locus (QTL) discovery and mapping have enhanced agricultural production and output by enabling plant breeders to better comprehend abiotic stress tolerance processes in cereals. Molecular markers and stable QTL are important for molecular breeding and candidate gene discovery, which may be utilized in transgenic or molecular introgression. Researchers can now study synteny between rice, maize, and wheat to gain a better understanding of the relationships between the QTL or genes that are important for a particular stress adaptation and phenotypic improvement in these cereals from analyzing reports on QTL and candidate genes. An overview of constitutive QTL, adaptive QTL, and significant stable multi-environment and multi-trait QTL is provided in this article as a solid framework for use and knowledge in genetic enhancement. Several QTL, such as DRO1 and Saltol, and other significant success cases are discussed in this review. We have highlighted techniques and advancements for abiotic stress tolerance breeding programs in cereals, the challenges encountered in introgressing beneficial QTL using traditional breeding techniques such as mutation breeding and marker-assisted selection (MAS), and the in roads made by new breeding methods such as genome-wide association studies (GWASs), the clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9 system, and meta-QTL (MQTL) analysis. A combination of these conventional and modern breeding approaches can be used to apply the QTL and candidate gene information in genetic improvement of cereals against abiotic stresses.
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Affiliation(s)
| | - Kalaivani Nadarajah
- Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
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Wu X, Wang J, Wu D, Jiang W, Gao Z, Li D, Wu R, Gao D, Zhang Y. Identification of new resistance loci against wheat sharp eyespot through genome-wide association study. FRONTIERS IN PLANT SCIENCE 2022; 13:1056935. [PMID: 36578345 PMCID: PMC9792169 DOI: 10.3389/fpls.2022.1056935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Wheat sharp eyespot caused by Rhizoctonia cerealis is a serious pathogenic disease affecting plants. The effective strategy for controlling this disease is breeding resistant cultivar. However, to date, no wheat varieties are fully resistant to sharp eyespot, and only a few quantitative trait loci (QTLs) have been shown to be associated with sharp eyespot resistance. METHODS To understand the genetic basis of this disease, a genome-wide association study (GWAS) of sharp eyespot resistance in 262 varieties from all China wheat regions was conducted. RESULTS After cultivation for three years, only 6.5% of the varieties were resistant to sharp eyespot. Notably, the varieties from the middle and lower Yangtze River displayed higher sharp eyespot resistance than those from Huanghuai wheat zone. Only two varieties had the same resistance level to the control Shanhongmai. The results of GWAS showed that 5 single nucleotide polymorphism (SNP) loci were markedly related to sharp eyespot resistance in the three years repeatedly, and two QTLs, qSE-6A and qSE-7B, on chromosome 6A and 7B were identified. Based on the 'CG' haplotypes of significant SNPs, we found that the two QTLs exhibited additive effects on attenuating sharp eyespot resistance. DISCUSSION These results provide novel insights into the genetic basis of sharp eyespot resistance in China wheat varieties. The SNPs related to sharp eyespot resistance can be applied for marker-assisted selection in plant breeding.
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Affiliation(s)
- Xujiang Wu
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
- Key Laboratory of Wheat Biology and Genetic Improvement on Low and Middle Yangtze River Valley Wheat Region, Ministry of Agriculture, Yangzhou, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Junchan Wang
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
| | - Di Wu
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
| | - Wei Jiang
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
| | - Zhifu Gao
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
| | - Dongsheng Li
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
| | - Rongling Wu
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
| | - Derong Gao
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
- Key Laboratory of Wheat Biology and Genetic Improvement on Low and Middle Yangtze River Valley Wheat Region, Ministry of Agriculture, Yangzhou, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Yong Zhang
- Institute of Agricultural Science of the Lixiahe District in Jiangsu Province, Yangzhou, China
- Key Laboratory of Wheat Biology and Genetic Improvement on Low and Middle Yangtze River Valley Wheat Region, Ministry of Agriculture, Yangzhou, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
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Guo X, Wu C, Wang D, Wang G, Jin K, Zhao Y, Tian J, Deng Z. Conditional QTL mapping for seed germination and seedling traits under salt stress and candidate gene prediction in wheat. Sci Rep 2022; 12:21010. [PMID: 36471100 PMCID: PMC9722660 DOI: 10.1038/s41598-022-25703-3] [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: 03/03/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Breeding new wheat varieties with salt resistance is one of the best ways to solve a constraint on the sustainability and expansion of wheat cultivation. Therefore, understanding the molecular components or genes related to salt tolerance must contribute to the cultivation of salt-tolerant varieties. The present study used a recombinant inbred line (RIL) population to genetically dissect the effects of different salt stress concentrations on wheat seed germination and seedling traits using two quantitative trait locus (QTL) mapping methods. A total of 31 unconditional and 11 conditional QTLs for salt tolerance were identified on 11 chromosomes explaining phenotypic variation (PVE) ranging from 2.01 to 65.76%. Of these, 15 major QTLs were found accounting for more than 10% PVE. QTL clusters were detected on chromosomes 2A and 3B in the marker intervals 'wPt-8328 and wPt-2087' and 'wPt-666008 and wPt-3620', respectively, involving more than one salt tolerance trait. QRdw3B and QSfw3B.2 were most consistent in two or more salt stress treatments. 16 candidate genes associated with salt tolerance were predicted in wheat. These results could be useful to improve salt tolerance by marker-assisted selection (MAS) and shed new light on understanding the genetic basis of salt tolerance in wheat.
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Affiliation(s)
- Xin Guo
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China ,Taiyuan Agro-Tech Extension and Service Center, 030000 Taiyuan, Shanxi People’s Republic of China
| | - Chongning Wu
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Dehua Wang
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Guanying Wang
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Kaituo Jin
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Yingjie Zhao
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Jichun Tian
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Zhiying Deng
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
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Li Z, Chen Y, Ou X, Wang M, Wang N, Li W, Deng Y, Diao Y, Sun Z, Luo Q, Li X, Zhao L, Yan T, Peng W, Jiang Q, Fang Y, Ren Z, Tan F, Luo P, Ren T. Identification of a stable major-effect quantitative trait locus for pre-harvest sprouting in common wheat (Triticum aestivum L.) via high-density SNP-based genotyping. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:4183-4195. [PMID: 36068440 DOI: 10.1007/s00122-022-04211-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
A major and stable QTL cQSGR.sau.3D, which can explain 33.25% of the phenotypic variation in SGR, was mapped and validated, and cQSGR.sau.3D was found to be independent of GI. In this study, a recombinant inbred line (RIL) population containing 304 lines derived from the cross of Chuan-nong17 (CN17) and Chuan-nong11 (CN11) was genotyped using the Wheat55K single-nucleotide polymorphism array. A high-density genetic map consisting of 8329 markers spanning 4131.54 cM and distributed across 21 wheat chromosomes was constructed. QTLs for whole spike germination rate (SGR) were identified in multiple years. Six and fourteen QTLs were identified using the Inclusive Composite Interval Mapping-Biparental Populations and Multi-Environment Trial methods, respectively. A total of 106 digenic epistatic QTLs were also detected in this study. One of the additive QTLs, cQSGR.sau.3D, which was mapped in the region from 3.5 to 4.5 cM from linkage group 3D-2 on chromosome 3D, can explain 33.25% of the phenotypic variation in SGR and be considered a major and stable QTL for SGR. This QTL was independent of the seeds' germination traits, such as germination index. One Kompetitive Allele-Specific PCR (KASP) marker, KASP-AX-110772653, which is tightly linked to cQSGR.sau.3D, was developed. The genetic effect of cQSGR.sau.3D on SGR in the RIL and natural populations was successfully confirmed. Furthermore, within the interval in which cQSGR.sau.3D is located in Chinese Spring reference genomes, thirty-seven genes were found. cQSGR.sau.3D may provide new resources for pre-harvest sprouting resistance breeding of wheat in the future.
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Affiliation(s)
- Zhi Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yongyan Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Xia Ou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Mengning Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Nanxin Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Wei Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yawen Deng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yixin Diao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Zixin Sun
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Qinyi Luo
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Xinli Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Liqi Zhao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Tong Yan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Wanhua Peng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Qing Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yi Fang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Zhenglong Ren
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Feiquan Tan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Peigao Luo
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Tianheng Ren
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
- College of Agronomy, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
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Yang B, Chen N, Dang Y, Wang Y, Wen H, Zheng J, Zheng X, Zhao J, Lu J, Qiao L. Identification and validation of quantitative trait loci for chlorophyll content of flag leaf in wheat under different phosphorus treatments. FRONTIERS IN PLANT SCIENCE 2022; 13:1019012. [PMID: 36466250 PMCID: PMC9714299 DOI: 10.3389/fpls.2022.1019012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 10/14/2022] [Indexed: 06/17/2023]
Abstract
In wheat, the leaf chlorophyll content in flag leaves is closely related to the degree of phosphorus stress. Identifying major genes/loci associated with chlorophyll content in flag leaves under different phosphorus conditions is critical for breeding wheat varieties resistant to low phosphorus (P). Under normal, medium, and low phosphorus conditions, the chlorophyll content of flag leaves was investigated by a double haploid (DH) population derived from a cross between two popular wheat varieties Jinmai 47 and Jinmai 84, at different grain filling stages. Chlorophyll content of the DH population and parents decreased gradually during the S1 to the S3 stages and rapidly at the S4 stage. At the S4 stage, the chlorophyll content of the DH population under low phosphorus conditions was significantly lower than under normal phosphate conditions. Using a wheat 15K single-nucleotide polymorphism (SNP) panel, a total of 157 QTLs were found to be associated with chlorophyll content in flag leaf and were identified under three phosphorus conditions. The phenotypic variation explained (PVE) ranged from 3.07 to 31.66%. Under three different phosphorus conditions, 36, 30, and 48 QTLs for chlorophyll content were identified, respectively. Six major QTLs Qchl.saw-2B.1, Qchl.saw-3B.1, Qchl.saw-4D.1, Qchl.saw-4D.2, Qchl.saw-5A.9 and Qchl.saw-6A.4 could be detected under multiple phosphorus conditions in which Qchl.saw-4D.1, Qchl.saw-4D.2, and Qchl.saw-6A.4 were revealed to be novel major QTLs. Moreover, the closely linked SNP markers of Qchl.saw-4D.1 and Qchl.saw-4D.2 were validated as KASP markers in a DH population sharing the common parent Jinmai 84, showed extreme significance (P <0.01) in more than three environments under different phosphorus conditions, which has the potential to be utilized in molecular marker-assisted breeding for low phosphorus tolerance in wheat.
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Affiliation(s)
- Bin Yang
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Nan Chen
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
- College of Agronomy, Shanxi Agricultural University, Taiyuan, China
| | - Yifei Dang
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
- College of Agronomy, Shanxi Agricultural University, Taiyuan, China
| | - Yuzhi Wang
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Hongwei Wen
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Jun Zheng
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Xingwei Zheng
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Jiajia Zhao
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Jinxiu Lu
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
| | - Ling Qiao
- Institute of Wheat Research, State Key Laboratory of Sustainable Dryland Agriculture, Shanxi Agricultural University, Linfen, China
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Arriagada O, Gadaleta A, Marcotuli I, Maccaferri M, Campana M, Reveco S, Alfaro C, Matus I, Schwember AR. A comprehensive meta-QTL analysis for yield-related traits of durum wheat ( Triticum turgidum L. var. durum) grown under different water regimes. FRONTIERS IN PLANT SCIENCE 2022; 13:984269. [PMID: 36147234 PMCID: PMC9486101 DOI: 10.3389/fpls.2022.984269] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/18/2022] [Indexed: 05/13/2023]
Abstract
Abiotic stress strongly affects yield-related traits in durum wheat, in particular drought is one of the main environmental factors that have effect on grain yield and plant architecture. In order to obtain new genotypes well adapted to stress conditions, the highest number of desirable traits needs to be combined in the same genotype. In this context, hundreds of quantitative trait loci (QTL) have been identified for yield-related traits in different genetic backgrounds and environments. Meta-QTL (MQTL) analysis is a useful approach to combine data sets and for creating consensus positions for the QTL detected in independent studies for the reliability of their location and effects. MQTL analysis is a useful method to dissect the genetic architecture of complex traits, which provide an extensive allelic coverage, a higher mapping resolution and allow the identification of putative molecular markers useful for marker-assisted selection (MAS). In the present study, a complete and comprehensive MQTL analysis was carried out to identify genomic regions associated with grain-yield related traits in durum wheat under different water regimes. A total of 724 QTL on all 14 chromosomes (genomes A and B) were collected for the 19 yield-related traits selected, of which 468 were reported under rainfed conditions, and 256 under irrigated conditions. Out of the 590 QTL projected on the consensus map, 421 were grouped into 76 MQTL associated with yield components under both irrigated and rainfed conditions, 12 genomic regions containing stable MQTL on all chromosomes except 1A, 4A, 5A, and 6B. Candidate genes associated to MQTL were identified and an in-silico expression analysis was carried out for 15 genes selected among those that were differentially expressed under drought. These results can be used to increase durum wheat grain yields under different water regimes and to obtain new genotypes adapted to climate change.
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Affiliation(s)
- Osvin Arriagada
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Agata Gadaleta
- Department of Agricultural and Environmental Science, University of Bari Aldo Moro, Bari, Italy
| | - Ilaria Marcotuli
- Department of Agricultural and Environmental Science, University of Bari Aldo Moro, Bari, Italy
| | - Marco Maccaferri
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Matteo Campana
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Samantha Reveco
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Christian Alfaro
- Centro Regional Rayentue, Instituto de Investigaciones Agropecuarias (INIA), Rengo, Chile
| | - Iván Matus
- Centro Regional Quilamapu, Instituto de Investigaciones Agropecuarias (INIA), Chillán, Chile
| | - Andrés R. Schwember
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile
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Ren P, Zhao D, Zeng Z, Yan X, Zhao Y, Lan C, Wang C. Pleiotropic effect analysis and marker development for grain zinc and iron concentrations in spring wheat. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2022; 42:49. [PMID: 37313424 PMCID: PMC10248664 DOI: 10.1007/s11032-022-01317-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
Wheat (Triticum aestivum L.) is one of the main food crops in the world and a primary source of zinc (Zn) and iron (Fe) in the human body. The genetic mechanisms underlying related traits have been clarified, thereby providing a molecular theoretical foundation for the development of germplasm resources. In this study, a total of 23,536 high-quality DArT markers was used to map quantitative trait loci (QTL) of grain Zn (GZn) and grain Fe (GFe) concentrations in recombinant inbred lines crossed by Avocet/Chilero. A total of 17 QTLs was located on chromosomes 1BL, 2BL, 3BL, 4AL, 4BS, 5AL, 5DL, 6AS, 6BS, 6DS, and 7AS accounting for 0.38-16.62% of the phenotypic variance. QGZn.haust-4AL, QGZn.haust-7AS.1, and QGFe.haust-6BS were detected on chromosomes 4AL, 6BS, and 7AS, accounting for 10.63-16.62% of the phenotypic variance. Four stable QTLs, QGZn.haust-4AL, QGFe.haust-1BL, QGFe.haust-4AL, and QGFe.haust-5DL, were located on chromosomes 1BL, 4AL, and 5DL. Three pleiotropic effects loci for GZn and GFe concentrations were located on chromosomes 1BL, 4AL, and 5DL. Two high-throughput Kompetitive Allele Specific PCR markers were developed by closely linking single-nucleotide polymorphisms on chromosomes 4AL and 5DL, which were validated by a germplasm panel. Therefore, it is the most important that quantitative trait loci and KASP marker for grain zinc and iron concentrations were developed for utilizing in marker-assisted breeding and biofortification of wheat grain in breeding programs.
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Affiliation(s)
- Pengxun Ren
- College of Agronomy, Henan University of Science and Technology, Luoyang, 471000 Henan China
- The Shennong Laboratory, Zhengzhou, 450002 Henan China
| | - Dehui Zhao
- College of Agronomy, Henan University of Science and Technology, Luoyang, 471000 Henan China
- The Shennong Laboratory, Zhengzhou, 450002 Henan China
| | - Zhankui Zeng
- College of Agronomy, Henan University of Science and Technology, Luoyang, 471000 Henan China
- The Shennong Laboratory, Zhengzhou, 450002 Henan China
| | - Xuefang Yan
- College of Agronomy, Henan University of Science and Technology, Luoyang, 471000 Henan China
| | - Yue Zhao
- College of Agronomy, Henan University of Science and Technology, Luoyang, 471000 Henan China
- The Shennong Laboratory, Zhengzhou, 450002 Henan China
| | - Caixia Lan
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Chunping Wang
- College of Agronomy, Henan University of Science and Technology, Luoyang, 471000 Henan China
- The Shennong Laboratory, Zhengzhou, 450002 Henan China
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IbMYB308, a Sweet Potato R2R3-MYB Gene, Improves Salt Stress Tolerance in Transgenic Tobacco. Genes (Basel) 2022; 13:genes13081476. [PMID: 36011387 PMCID: PMC9408268 DOI: 10.3390/genes13081476] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/15/2022] [Accepted: 08/17/2022] [Indexed: 12/05/2022] Open
Abstract
The MYB (v-myb avian myeloblastosis viral oncogene homolog) transcription factor family plays an important role in plant growth, development, and response to biotic and abiotic stresses. However, the gene functions of MYB transcription factors in sweet potato (Ipomoea batatas (L.) Lam) have not been elucidated. In this study, an MYB transcription factor gene, IbMYB308, was identified and isolated from sweet potato. Multiple sequence alignment showed that IbMYB308 is a typical R2R3-MYB transcription factor. Further, quantitative real-time PCR (qRT-PCR) analysis revealed that IbMYB308 was expressed in root, stem, and, especially, leaf tissues. Moreover, it showed that IbMYB308 had a tissue-specific profile. The experiment also showed that the expression of IbMYB308 was induced by different abiotic stresses (20% PEG-6000, 200 mM NaCl, and 20% H2O2). After a 200 mM NaCl treatment, the expression of several stress-related genes (SOD, POD, APX, and P5CS) was upregulation in transgenic plants, and the CAT activity, POD activity, proline content, and protein content in transgenic tobacco had increased, while MDA content had decreased. In conclusion, this study demonstrated that IbMYB308 could improve salt stress tolerance in transgenic tobacco. These findings lay a foundation for future studies on the R2R3-MYB gene family of sweet potato and suggest that IbMYB308 could potentially be used as an important positive factor in transgenic plant breeding to improve salt stress tolerance in sweet potato plants.
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