1
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Zhang L, Zhou H, Fu X, Zhou N, Liu M, Bai S, Zhao X, Cheng R, Li S, Zhang D. Identification and map-based cloning of an EMS-induced mutation in wheat gene TaSP1 related to spike architecture. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:119. [PMID: 38709271 DOI: 10.1007/s00122-024-04621-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 04/10/2024] [Indexed: 05/07/2024]
Abstract
KEY MESSAGE A candidate gene TaSP1 related to spike shape was cloned, and the gene-specific marker was developed to efficiently track the superior haplotype in common wheat. Spike shape, an important factor that affects wheat grain yield, is mainly defined by spike length (SPL), spikelet number (SPN), and compactness. Zhoumai32 mutant 1160 (ZM1160), a mutant obtained from ethyl methane sulfonate (EMS) treatment of hexaploid wheat variety Zhoumai32, was used to identify and clone the candidate gene that conditioned the spike shape. Genetic analysis of an F2 population derived from a cross of ZM1160 and Bainong207 suggested that the compact spike shape in ZM1160 was controlled by a single recessive gene, and therefore, the mutated gene was designated as Tasp1. With polymorphic markers identified through bulked segregant analysis (BSA), the gene was mapped to a 2.65-cM interval flanked by markers YZU0852 and MIS46239 on chromosome 7D, corresponding to a 0.42-Mb physical interval of Chinese spring (CS) reference sequences (RefSeq v1.0). To fine map TaSP1, 15 and seven recombinants were, respectively, screened from 1599 and 1903 F3 plants derived from the heterozygous F2 plants. Finally, TaSP1 was delimited to a 21.9 Kb (4,870,562 to 4,892,493 bp) Xmis48123-Xmis48104 interval. Only one high-confidence gene TraesCS7D02G010200 was annotated in this region, which encodes an unknown protein with a putative vWA domain. Quantitative reverse transcription PCR (qRT-PCR) analysis showed that TraesCS7D02G010200 was mainly expressed in the spike. Haplotype analysis of 655 wheat cultivars using the candidate gene-specific marker Xg010200p2 identified a superior haplotype TaSP1b with longer spike and more spikelet number. TaSP1 is beneficial to the improvement in wheat spike shape.
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Affiliation(s)
- Lin Zhang
- School of Life Sciences, Henan University, Kaifeng, 475001, China
| | - Huidan Zhou
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agricultural Sciences, Henan University, Kaifeng, 475001, Henan, China
| | - Xian Fu
- School of Life Sciences, Henan University, Kaifeng, 475001, China
| | - Niuniu Zhou
- School of Life Sciences, Henan University, Kaifeng, 475001, China
| | - Mengjie Liu
- School of Life Sciences, Henan University, Kaifeng, 475001, China
| | - Shenglong Bai
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agricultural Sciences, Henan University, Kaifeng, 475001, Henan, China
| | - Xinpeng Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agricultural Sciences, Henan University, Kaifeng, 475001, Henan, China
| | - Ruiru Cheng
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agricultural Sciences, Henan University, Kaifeng, 475001, Henan, China.
| | - Suoping Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agricultural Sciences, Henan University, Kaifeng, 475001, Henan, China.
| | - Dale Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agricultural Sciences, Henan University, Kaifeng, 475001, Henan, China.
- The Zhongzhou Laboratory for Integrative Biology, Zhengzhou, 450000, Henan, China.
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Zhang H, Li Y, Liu W, Sun Y, Tang J, Che J, Yang S, Wang X, Zhang R. Genetic Analysis of Adaptive Traits in Spring Wheat in Northeast China. Life (Basel) 2024; 14:168. [PMID: 38398677 PMCID: PMC10890535 DOI: 10.3390/life14020168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/13/2024] [Accepted: 01/17/2024] [Indexed: 02/25/2024] Open
Abstract
The dissection of the genetic architecture and the detection of the loci for adaptive traits are important for marker-assisted selection (MAS) for breeding. A spring wheat diversity panel with 251 cultivars, mainly from China, was obtained to conduct a genome-wide association study (GWAS) to detect the new loci, including the heading date (HD), maturating date (MD), plant height (PH), and lodging resistance (LR). In total, 41 loci existing in all 21 chromosomes, except for 4A and 6B, were identified, and each explained 4.3-18.9% of the phenotypic variations existing in two or more environments. Of these, 13 loci are overlapped with the known genes or quantitative trait loci (QTLs), whereas the other 28 are likely to be novel. The 1A locus (296.9-297.7 Mb) is a multi-effect locus for LR and PH, whereas the locus on chromosome 6D (464.5-471.0 Mb) affects both the HD and MD. Furthermore, four candidate genes for adaptive traits were identified, involved in cell division, signal transduction, and plant development. Additionally, two competitive, allele-specific PCR (KASP) markers, Kasp_2D_PH for PH and Kasp_6D_HD for HD, were developed and validated in another 162 spring wheat accessions. Our study uncovered the genetic basis of adaptive traits and provided the associated SNPs and varieties with more favorable alleles for wheat MAS breeding.
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Affiliation(s)
- Hongji Zhang
- Crop Resources Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (W.L.); (Y.S.); (J.T.); (S.Y.); (X.W.)
| | - Yuyao Li
- Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China;
| | - Wenlin Liu
- Crop Resources Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (W.L.); (Y.S.); (J.T.); (S.Y.); (X.W.)
| | - Yan Sun
- Crop Resources Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (W.L.); (Y.S.); (J.T.); (S.Y.); (X.W.)
| | - Jingquan Tang
- Crop Resources Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (W.L.); (Y.S.); (J.T.); (S.Y.); (X.W.)
| | - Jingyu Che
- Keshan Branch of Heilongjiang Academy of Agricultural Sciences, Qiqihar 161600, China;
| | - Shuping Yang
- Crop Resources Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (W.L.); (Y.S.); (J.T.); (S.Y.); (X.W.)
| | - Xiangyu Wang
- Crop Resources Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; (W.L.); (Y.S.); (J.T.); (S.Y.); (X.W.)
| | - Rui Zhang
- Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China;
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3
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Zhang L, Chen Y, Leng Q, Lin X, Lu J, Xu Y, Li H, Xu S, Huang S, López Hernán A, Wang Y, Yin J, Niu J. A High-Resolution Linkage Map Construction and QTL Analysis for Morphological Traits in Anthurium ( Anthurium andraeanum Linden). PLANTS (BASEL, SWITZERLAND) 2023; 12:4185. [PMID: 38140512 PMCID: PMC10747322 DOI: 10.3390/plants12244185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/05/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023]
Abstract
Anthurium andraeanum Linden is a prominent ornamental plant belonging to the family Araceae and is cultivated worldwide. The morphology characteristics are crucial because they significantly impact ornamental values, commercial properties, and the efficiency of space utilization in production. However, only a few related investigations have been conducted in anthurium to date. In this study, an F1 genetic segregation population containing 160 progenies was generated through hybridization between potted and cut anthurium varieties. Fifteen morphological traits were assessed and revealed substantial levels of genetic variation and widespread positive correlation. Based on specific length amplified fragment (SLAF) sequencing technology, 8171 single nucleotide polymorphism (SNP) markers were developed, and the high-density linkage map of 2202.27 cM in length distributed on 15 linkage groups was constructed successfully, with an average distance of 0.30 cM. Using the inclusive composite interval mapping (ICIM) method, 59 QTLs related to 15 key morphological traits were successfully identified, which explained phenotypic variance (PVE) ranging from 6.21% to 17.74%. Thirty-three of those associated with 13 traits were designated as major QTLs with PVE > 10%. These findings offer valuable insights into the genetic basis of quantitative traits and are beneficial for molecular marker-assisted selection (MAS) in anthurium breeding.
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Affiliation(s)
- Linbi Zhang
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
| | - Yanyan Chen
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
- Institute of Crops Molecular Breeding, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Qingyun Leng
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
- The Engineering Technology Research Center of Tropical Ornamental Plant Germplasm Innovation and Utilization, Danzhou 571737, China
| | - Xinge Lin
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
| | - Jinping Lu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
| | - Yueting Xu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
| | - Haiyan Li
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
- The Engineering Technology Research Center of Tropical Ornamental Plant Germplasm Innovation and Utilization, Danzhou 571737, China
| | - Shisong Xu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
- The Engineering Technology Research Center of Tropical Ornamental Plant Germplasm Innovation and Utilization, Danzhou 571737, China
| | - Shaohua Huang
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
- The Engineering Technology Research Center of Tropical Ornamental Plant Germplasm Innovation and Utilization, Danzhou 571737, China
| | - Ariel López Hernán
- Multidisciplinary Workshop on Vascular Plants, Border Ecology Laboratory, University of Flores, Sede Comahue (UFLO), Rio Negro 8328, Argentina;
- Botanical Garden of Plottier City, Neuquen 8316, Argentina
| | - Yaru Wang
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
| | - Junmei Yin
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
- The Engineering Technology Research Center of Tropical Ornamental Plant Germplasm Innovation and Utilization, Danzhou 571737, China
| | - Junhai Niu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou 571101, China (Y.X.); (H.L.); (Y.W.)
- The Engineering Technology Research Center of Tropical Ornamental Plant Germplasm Innovation and Utilization, Danzhou 571737, China
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4
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Ding Y, Fang H, Gao Y, Fan G, Shi X, Yu S, Ding S, Huang T, Wang W, Song J. Genome-wide association analysis of time to heading and maturity in bread wheat using 55K microarrays. FRONTIERS IN PLANT SCIENCE 2023; 14:1296197. [PMID: 38107003 PMCID: PMC10722194 DOI: 10.3389/fpls.2023.1296197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 11/14/2023] [Indexed: 12/19/2023]
Abstract
To investigate the genetic mechanisms underlying the reproductive traits (time to flowering and maturity) in wheat and identify candidate genes associated, a phenotypic analysis was conducted on 239 wheat accessions (lines) from around the world. A genome-wide association study (GWAS) of wheat heading and maturity phases was performed using the MLM (Q+K) model in the TASSLE software, combined with the Wheat 55K SNP array. The results revealed significant phenotypic variation in heading and maturity among the wheat accessions across different years, with coefficients of variation ranging from 0.96% to 1.97%. The phenotypic data from different years exhibited excellent correlation, with a genome-wide linkage disequilibrium (LD) attenuation distance of 3 Mb. Population structure analysis, evolutionary tree analysis, and principal component analysis indicated that the 239 wheat accessions formed a relatively homogeneous natural population, which could be divided into three subgroups. The GWAS results identified a total of 293 SNP marker loci that were significantly associated with wheat heading and maturity stages (P ≤ 0.001) in different environments. Among them, nine stable SNP marker loci were consistently detected in multiple environments. These marker loci were distributed on wheat chromosomes 1A、1B、2D、3A、5B、6D and 7A. Each individual locus explained 4.03%-16.06% of the phenotypic variation. Furthermore, through careful analysis of the associated loci with large phenotypic effect values and stable inheritance, a total of nine candidate genes related to wheat heading and maturity stages were identified. These findings have implications for molecular marker-assisted selection breeding programs targeting specific wheat traits at the heading and maturity stages. In summary, this study conducted a comprehensive GWAS of wheat heading and maturity phases, revealing significant associations between genetic markers and key developmental stages in wheat. The identification of candidate genes and marker loci provides valuable information for further studies on wheat breeding and genetic improvement targeted at enhancing heading and maturity traits.
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Affiliation(s)
- Yindeng Ding
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Hui Fang
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Yonghong Gao
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Guiqiang Fan
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Xiaolei Shi
- Institute of Crop Variety Resources, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Shan Yu
- College of Agriculture, Xinjiang Agricultural University, Urumqi, Xinjiang, China
| | - Sunlei Ding
- Institute of Crop Variety Resources, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Tianrong Huang
- Institute of Grain Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, China
| | - Wei Wang
- Department of Computer Science and Information Engineering, Anyang Institute of Technology, Anyang, China
| | - Jikun Song
- Cotton Research Institute, Chinese Academy of Agricultural Sciences, Anyang, China
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5
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Si Y, Tian S, Niu J, Yu Z, Ma S, Lu Q, Wu H, Ling HQ, Zheng S. Dissection and validation of a promising QTL controlling spikelet number on 5B in bread wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:240. [PMID: 37930446 DOI: 10.1007/s00122-023-04488-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 10/16/2023] [Indexed: 11/07/2023]
Abstract
KEY MESSAGE Five environmentally stable QTLs for spikelet number per spike and days to heading were identified using a high-genetic map containing 95,444 SNPs, among which QSns.ucas-5B was validated using residual heterozygous line at multiple environments. Spikelet number per spike (SNS) and days to heading (DTH) play pivotal roles in the improvement of wheat yield. In this study, a high-density genetic map for a recombinant inbred lines (RILs) population derived from Zhengnong 17 (ZN17) and Yangbaimai (YBM) was constructed using 95,444 single-nucleotide polymorphism (SNP) markers from the Wheat660K SNP array. Our study identified a total of five environmentally stable QTLs for SNS and DTH, one of which was named QSns.ucas-5B, with a physical interval of approximately 545.4-552.1 Mb on the 5BL chromosome arm. Importantly, the elite haplotype within QSns.ucas-5B showed a consistent and positive effect on SNS, grain number and weight per spike, without extending the days to heading. These findings provide a foundation for future efforts to map and clone the gene(s) responsible for QSns.ucas-5B and further indicate the potential application of the developed and validated InDel marker of QSns.ucas-5B for molecular breeding purposes, aimed at improving wheat grain yield.
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Affiliation(s)
- Yaoqi Si
- 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
| | - Shuiquan Tian
- 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
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jianqing Niu
- 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
| | - Zhongqing Yu
- National Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, China
| | - Shengwei Ma
- 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
| | - Qiao Lu
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Huilan Wu
- 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
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hong-Qing Ling
- 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.
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Shusong 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.
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Luo X, Yang Y, Lin X, Xiao J. Deciphering spike architecture formation towards yield improvement in wheat. J Genet Genomics 2023; 50:835-845. [PMID: 36907353 DOI: 10.1016/j.jgg.2023.02.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/28/2023] [Accepted: 02/28/2023] [Indexed: 03/12/2023]
Abstract
Wheat is the most widely grown crop globally, providing 20% of the daily consumed calories and protein content around the world. With the growing global population and frequent occurrence of extreme weather caused by climate change, ensuring adequate wheat production is essential for food security. The architecture of the inflorescence plays a crucial role in determining the grain number and size, which is a key trait for improving yield. Recent advances in wheat genomics and gene cloning techniques have improved our understanding of wheat spike development and its applications in breeding practices. Here, we summarize the genetic regulation network governing wheat spike formation, the strategies used for identifying and studying the key factors affecting spike architecture, and the progress made in breeding applications. Additionally, we highlight future directions that will aid in the regulatory mechanistic study of wheat spike determination and targeted breeding for grain yield improvement.
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Affiliation(s)
- Xumei Luo
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yiman Yang
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Xuelei Lin
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Jun Xiao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
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7
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Zhao D, Hu W, Fang Z, Cheng X, Liao S, Fu L. Two QTL regions for spike length showing pleiotropic effects on Fusarium head blight resistance and thousand-grain weight in bread wheat ( Triticum aestivum L.). MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:82. [PMID: 37974900 PMCID: PMC10645863 DOI: 10.1007/s11032-023-01427-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023]
Abstract
Spike length (SL) plays an important role in the yield improvement of wheat and is significantly associated with other traits. Here, we used a recombinant inbred line (RIL) population derived from a cross between Yangmai 12 (YM12) and Yanzhan 1 (YZ1) to construct a genetic linkage map and identify quantitative trait loci (QTL) for SL. A total of 5 QTL were identified for SL, among which QSl.yaas-3A and QSl.yaas-5B are two novel QTL for SL. The YZ1 alleles at QSl.yaas-2D and QSl.yaas-5A, and the YM12 alleles at QSl.yaas-2A, QSl.yaas-3A, and QSl.yaas-5B conferred increasing SL effects. Two major QTL QSl.yaas-5A and QSl.yaas-5B explained 9.11-15.85% and 9.01-12.85% of the phenotypic variations, respectively. Moreover, the positive alleles of QSl.yaas-5A and QSl.yaas-5B could significantly increase Fusarium head blight (FHB) resistance (soil surface inoculation and spray inoculation were used) and thousand-grain weight (TGW) in the RIL population. Kompetitive allele-specific PCR (KASP) markers for QSl.yaas-5A and QSl.yaas-5B were developed and validated in an additional panel of 180 wheat cultivars/lines. The cultivars/lines harboring both the positive alleles of QSl.yaas-5A and QSl.yaas-5B accounted for only 28.33% of the validation populations and had the longest SL, best FHB resistance (using spray inoculation), and highest TGW. A total of 358 and 200 high-confidence annotated genes in QSl.yaas-5A and QSl.yaas-5B were identified, respectively. Some of the genes in these two regions were involved in cell development, disease resistance, and so on. The results of this study will provide a basis for directional breeding of longer SL, higher TGW, and better FHB resistance varieties and a solid foundation for fine-mapping QSl.yaas-5A and QSl.yaas-5B in future. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01427-8.
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Affiliation(s)
- Die Zhao
- College of Agriculture, Yangtze University, Jingzhou, 434025 China
| | - Wenjing Hu
- Key Laboratory of Wheat Biology and Genetic Improvement for Low Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, 225007 China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding / Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College, Yangzhou University, Yangzhou, 225009 Jiangsu China
| | - Zhengwu Fang
- College of Agriculture, Yangtze University, Jingzhou, 434025 China
| | - Xiaoming Cheng
- Key Laboratory of Wheat Biology and Genetic Improvement for Low Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, 225007 China
| | - Sen Liao
- Key Laboratory of Wheat Biology and Genetic Improvement for Low Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Lixiahe Institute of Agricultural Sciences, Yangzhou, 225007 China
| | - Luping Fu
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding / Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College, Yangzhou University, Yangzhou, 225009 Jiangsu China
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8
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Zhao C, Zhou J, Li C, You J, Liu Y, Tang H, Deng M, Xu Q, Zhang Y, Jiang Q, Chen G, Qi P, Jiang Y, Wang J, Li W, Pu Z, Chen G, Jiang Y, Zheng Z, Liu C, Zheng Y, Wei Y, Ma J. A major QTL simultaneously increases the number of spikelets per spike and thousand-kernel weight in a wheat line. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:213. [PMID: 37740730 DOI: 10.1007/s00122-023-04459-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 08/31/2023] [Indexed: 09/25/2023]
Abstract
KEY MESSAGE A novel and stably expressed QTL QSNS.sicau-SSY-7A for spikelet number per spike in wheat without negative effects on thousand-kernel weight was identified and validated in different genetic backgrounds. Spikelet number per spike (SNS) is an important determinant of yield in wheat. In the present study, we combined bulked segregant analysis (BSA) and the wheat 660 K single-nucleotide polymorphism (SNP) array to rapidly identify genomic regions associated with SNS from a recombinant inbred line (RIL) population derived from a cross between the wheat lines S849-8 and SY95-71. A genetic map was constructed using Kompetitive Allele Specific PCR markers in the SNP-enriched region on the long arm of chromosome 7A. A major and stably expressed QTL, QSNS.sicau-SSY-7A, was detected in multiple environments. It was located in a 1.6 cM interval on chromosome arm 7AL flanked by the markers AX-109983514 and AX-109820548. This QTL explained 6.86-15.72% of the phenotypic variance, with LOD values ranging from 3.66 to 8.66. Several genes associated with plant growth and development were identified in the interval where QSNS.sicau-SSY-7A was located on the 'Chinese Spring' wheat and wild emmer reference genomes. Furthermore, the effects of QSNS.sicau-SSY-7A and WHEAT ORTHOLOG OFAPO1(WAPO1) on SNS were analyzed. Interestingly, QSNS.sicau-SSY-7A significantly increased SNS without negative effects on thousand-kernel weight, anthesis date and plant height, demonstrating its great potential for breeding aimed at improving grain yield. Taken together, these results indicate that QSNS.sicau-SSY-7A is a promising locus for yield improvement, and its linkage markers are helpful for fine mapping and molecular breeding.
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Affiliation(s)
- Conghao Zhao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jieguang Zhou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Cong Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jianing You
- Industrial Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, China
| | - Yanling Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Huaping Tang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Mei Deng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Qiang Xu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yazhou Zhang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Qiantao Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Guoyue Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Pengfei Qi
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yunfeng Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jirui Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Wei Li
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Zhien Pu
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Guangdeng Chen
- College of Resources, Sichuan Agricultural University, Chengdu, China
| | - Yun Jiang
- Institute of Biotechnology and Nuclear Technology Research, Sichuan Academy ofAgricultural Sciences, Chengdu, China
| | - Zhi Zheng
- CSIRO Agriculture and Food, 306 Carmody Road, Saint Lucia, QLD, 4067, Australia
| | - Chunji Liu
- CSIRO Agriculture and Food, 306 Carmody Road, Saint Lucia, QLD, 4067, Australia
| | - Youliang Zheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yuming Wei
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China.
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
| | - Jian Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, China.
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
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9
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Zhang Y, Miao H, Xiao Y, Wang C, Zhang J, Shi X, Xie S, Wang C, Li T, Deng P, Chen C, Zhang H, Ji W. An intron-located single nucleotide variation of TaGS5-3D is related to wheat grain size through accumulating intron retention transcripts. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:193. [PMID: 37606787 DOI: 10.1007/s00122-023-04439-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/31/2023] [Indexed: 08/23/2023]
Abstract
KEY MESSAGE Thirty-three stable QTL for 13 yield-related traits across ten environments were identified in the PD34/MY47 RIL population, and a candidate gene TaGS5-3D in Qmt.nwafu.3D was preliminarily identified to affect grain-related traits through accumulation of specific transcripts. Dissecting the genetic basis of yield-related traits is pivotal for improvement of wheat yield potential. In this study, a recombinant inbred line (RIL) population genotyped by SNP markers was used to detect quantitative trait loci (QTL) related to yield-related traits in ten environments. A total of 102 QTL were detected, including 33 environmentally stable QTL and 69 putative QTL. Among them, Qmt.nwafu.3D was identified as a pleiotropic QTL in the physical interval of 149.77-154.11 Mb containing a potential candidate gene TaGS5-3D. An SNP (T > C) was detected in its ninth intron, and TaGS5-3D-C was validated as a superior allele associated with larger grains using a CAPS marker. Interestingly, we found that TaGS5-3D-C was closely related to significantly up-regulated expression of intron-retained transcript (TaGS5-3D-PD34.1), while TaGS5-3D-T was related to dominant expression of normal splicing transcript (TaGS5-3D-MY47.1). Our results indicated that alternative splicing associated with the SNP T/C could be involved in the regulation of grain-related traits, laying a foundation for the functional analysis of TaGS5-3D and its greater potential application in high-yield wheat breeding.
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Affiliation(s)
- Yaoyuan Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Hanxiao Miao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Yi Xiao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Chao Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Junjie Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Xiaoxi Shi
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Songfeng Xie
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Changyou Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
- Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China
| | - Tingdong Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
- Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China
| | - Pingchuan Deng
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
- Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China
| | - Chunhuan Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
- Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China
| | - Hong Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.
- Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China.
| | - Wanquan Ji
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.
- Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China.
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10
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Wang Y, Zeng Z, Li J, Zhao D, Zhao Y, Peng C, Lan C, Wang C. Identification and validation of new quantitative trait loci for spike-related traits in two RIL populations. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:64. [PMID: 37533603 PMCID: PMC10390419 DOI: 10.1007/s11032-023-01401-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 06/19/2023] [Indexed: 08/04/2023]
Abstract
Wheat (Triticum aestivum L.) is one of the most important cereal crops for ensuring food security worldwide. Identification of major quantitative trait loci (QTL) for spike-related traits is important for improvement of yield potential in wheat breeding. In this study, by using the wheat 55K single nucleotide polymorphism (SNP) array and diversity array technology (DArT), two recombinant inbred line populations derived from crosses avocet/chilero and avocet/huites were used to map QTL for kernel number per spike (KNS), total spikelet number per spike (TSS), fertile spikelet number per spike (FSS), and spike compactness (SC). Forty-two QTLs were identified on chromosomes 2A (4), 2B (3), 3A (2), 3B (7), 5A (11), 6A (4), 6B, and 7A (10), explaining 3.13-21.80% of the phenotypic variances. Twelve QTLs were detected in multi-environments on chromosomes 2A, 3B (2), 5A (4), 6A (3), 6B, and 7A, while four QTL clusters were detected on chromosomes 3A, 3B, 5A, and 7A. Two stable and new QTL clusters, QKns/Tss/Fss/SC.haust-5A and QKns/Tss/Fss.haust-7A, were detected in the physical intervals of 547.49-590.46 Mb and 511.54-516.15 Mb, accounting for 7.53-14.78% and 7.01-20.66% of the phenotypic variances, respectively. High-confidence annotated genes for QKns/Tss/Fss/SC.haust-5A and QKns/Tss/Fss.haust-7A were more highly expressed in spike development. The results provide new QTL and molecular markers for marker-assisted breeding in wheat. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01401-4.
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Affiliation(s)
- Yuying Wang
- 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
| | - Jiachuang Li
- 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
| | - Yue Zhao
- College of Agronomy, Henan University of Science and Technology, Luoyang, 471000 Henan China
- The Shennong Laboratory, Zhengzhou, 450002 Henan China
| | - Chen Peng
- 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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11
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Abdi H, Alipour H, Bernousi I, Jafarzadeh J, Rodrigues PC. Identification of novel putative alleles related to important agronomic traits of wheat using robust strategies in GWAS. Sci Rep 2023; 13:9927. [PMID: 37336905 DOI: 10.1038/s41598-023-36134-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 05/30/2023] [Indexed: 06/21/2023] Open
Abstract
Principal component analysis (PCA) is widely used in various genetics studies. In this study, the role of classical PCA (cPCA) and robust PCA (rPCA) was evaluated explicitly in genome-wide association studies (GWAS). We evaluated 294 wheat genotypes under well-watered and rain-fed, focusing on spike traits. First, we showed that some phenotypic and genotypic observations could be outliers based on cPCA and different rPCA algorithms (Proj, Grid, Hubert, and Locantore). Hubert's method provided a better approach to identifying outliers, which helped to understand the nature of these samples. These outliers led to the deviation of the heritability of traits from the actual value. Then, we performed GWAS with 36,000 single nucleotide polymorphisms (SNPs) based on the traditional approach and two robust strategies. In the conventional approach and using the first three components of cPCA as population structure, 184 and 139 marker-trait associations (MTAs) were identified for five traits in well-watered and rain-fed environments, respectively. In the first robust strategy and when rPCA was used as population structure in GWAS, we observed that the Hubert and Grid methods identified new MTAs, especially for yield and spike weight on chromosomes 7A and 6B. In the second strategy, we followed the classical and robust principal component-based GWAS, where the first two PCs obtained from phenotypic variables were used instead of traits. In the recent strategy, despite the similarity between the methods, some new MTAs were identified that can be considered pleiotropic. Hubert's method provided a better linear combination of traits because it had the most MTAs in common with the traditional approach. Newly identified SNPs, including rs19833 (5B) and rs48316 (2B), were annotated with important genes with vital biological processes and molecular functions. The approaches presented in this study can reduce the misleading GWAS results caused by the adverse effect of outlier observations.
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Affiliation(s)
- Hossein Abdi
- Department of Plant Production and Genetics, Faculty of Agriculture, Urmia University, Urmia, Iran
| | - Hadi Alipour
- Department of Plant Production and Genetics, Faculty of Agriculture, Urmia University, Urmia, Iran
| | - Iraj Bernousi
- Department of Plant Production and Genetics, Faculty of Agriculture, Urmia University, Urmia, Iran.
| | - Jafar Jafarzadeh
- Dryland Agricultural Research Institute (DARI), Agriculture Research, Education and Extension Organization (AREEO), Maragheh, Iran
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12
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Wang X, Zhang J, Mao W, Guan P, Wang Y, Chen Y, Liu W, Guo W, Yao Y, Hu Z, Xin M, Ni Z, Sun Q, Peng H. Association mapping identifies loci and candidate genes for grain-related traits in spring wheat in response to heat stress. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2023; 331:111676. [PMID: 36933836 DOI: 10.1016/j.plantsci.2023.111676] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/05/2023] [Accepted: 03/14/2023] [Indexed: 06/18/2023]
Abstract
Heat stress is a limiting factor in wheat production along with global warming. Development of heat-tolerant wheat varieties and generation of suitable pre-breeding materials are the major goals in current wheat breeding programs. Our understanding on the genetic basis of thermotolerance remains sparse. In this study, we genotyped a collection of 211 core spring wheat accessions and conducted field trials to evaluate the grain-related traits under heat stress and non-stress conditions in two different locations for three consecutive years. Based on SNP datasets and grain-related traits, we performed genome-wide association study (GWAS) to detect stable loci related to thermotolerance. Thirty-three quantitative trait loci (QTL) were identified, nine of them are the same loci as previous studies, and 24 are potentially novel loci. Functional candidate genes at these QTL are predicted and proved to be relevant to heat stress and grain-related traits such as TaELF3-A1 (1A) for earliness per se (Eps), TaHSFA1-B1 (5B) influencing heat tolerance and TaVIN2-A1 (6A) for grain size. Functional markers of TaELF3-A1 were detected and converted to KASP markers, with their function and genetic diversity being analyzed in the natural populations. In addition, our results unveiled favor alleles controlling agronomic traits and/or heat stress tolerance. In summary, we provide insights into heritable correlation between yield and heat stress tolerance, which will accelerate the development of new cultivars with high and stable yield of wheat in the future.
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Affiliation(s)
- Xiaobo Wang
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Jinbo Zhang
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China; Institute of Crop Germplasm Resource, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Weiwei Mao
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Panfeng Guan
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Yongfa Wang
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Yongming Chen
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Wangqing Liu
- Crop Research Institute of Ningxia Academy of Agriculture and Forestry Sciences, Ningxia, China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Yingyin Yao
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Zhaorong Hu
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Mingming Xin
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
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13
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Li Y, Xiong H, Guo H, Zhou C, Fu M, Xie Y, Zhao L, Gu J, Zhao S, Ding Y, Wang C, Irshad A, Liu L, Fang Z. Fine mapping and genetic analysis identified a C 2H 2-type zinc finger as a candidate gene for heading date regulation in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:140. [PMID: 37243757 DOI: 10.1007/s00122-023-04363-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/08/2023] [Indexed: 05/29/2023]
Abstract
KEY MESSAGE A minor-effect QTL, Qhd.2AS, that affects heading date in wheat was mapped to a genomic interval of 1.70-Mb on 2AS, and gene analysis indicated that the C2H2-type zinc finger protein gene TraesCS2A02G181200 is the best candidate for Qhd.2AS. Heading date (HD) is a complex quantitative trait that determines the regional adaptability of cereal crops, and identifying the underlying genetic elements with minor effects on HD is important for improving wheat production in diverse environments. In this study, a minor QTL for HD that we named Qhd.2AS was detected on the short arm of chromosome 2A by Bulked Segregant Analysis and validated in a recombinant inbred population. Using a segregating population of 4894 individuals, Qhd.2AS was further delimited to an interval of 0.41 cM, corresponding to a genomic region spanning 1.70 Mb (from 138.87 to 140.57 Mb) that contains 16 high-confidence genes based on IWGSC RefSeq v1.0. Analyses of sequence variations and gene transcription indicated that TraesCS2A02G181200, which encodes a C2H2-type zinc finger protein, is the best candidate gene for Qhd.2AS that influences HD. Screening a TILLING mutant library identified two mutants with premature stop codons in TraesCS2A02G181200, both of which exhibited a delay in HD of 2-4 days. Additionally, variations in its putative regulatory sites were widely present in natural accession, and we also identified the allele which was positively selected during wheat breeding. Epistatic analyses indicated that Qhd.2AS-mediated HD variation is independent of VRN-B1 and environmental factors. Phenotypic investigation of homozygous recombinant inbred lines (RILs) and F2:3 families showed that Qhd.2AS has no negative effect on yield-related traits. These results provide important cues for refining HD and therefore improving yield in wheat breeding programs and will deepen our understanding of the genetic regulation of HD in cereal plants.
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Affiliation(s)
- Yuting Li
- MARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (Co-Construction By Ministry and Province), College of Agriculture, Yangtze University, Jingzhou, 434025, China
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongchun Xiong
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huijun Guo
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Chunyun Zhou
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Meiyu Fu
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yongdun Xie
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Linshu Zhao
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jiayu Gu
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shirong Zhao
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuping Ding
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Chaojie Wang
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ahsan Irshad
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Luxiang Liu
- National Engineering Laboratory of Crop Molecular Breeding/National Center of Space Mutagenesis for Crop Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Zhengwu Fang
- MARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (Co-Construction By Ministry and Province), College of Agriculture, Yangtze University, Jingzhou, 434025, China.
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14
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Milec Z, Strejčková B, Šafář J. Contemplation on wheat vernalization. FRONTIERS IN PLANT SCIENCE 2023; 13:1093792. [PMID: 36684728 PMCID: PMC9853533 DOI: 10.3389/fpls.2022.1093792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 12/08/2022] [Indexed: 06/17/2023]
Abstract
Vernalization is a period of low non-freezing temperatures, which provides the competence to flower. This mechanism ensures that plants sown before winter develop reproductive organs in more favourable conditions during spring. Such an evolutionary mechanism has evolved in both monocot and eudicot plants. Studies in monocots, represented by temperate cereals like wheat and barley, have identified and proposed the VERNALIZATION1 (VRN1) gene as a key player in the vernalization response. VRN1 belongs to MADS-box transcription factors and is expressed in the leaves and the apical meristem, where it subsequently promotes flowering. Despite substantial research advancement in the last two decades, there are still gaps in our understanding of the vernalization mechanism. Here we summarise the present knowledge of wheat vernalization. We discuss VRN1 allelic variation, review vernalization models, talk VRN1 copy number variation and devernalization phenomenon. Finally, we suggest possible future directions of the vernalization research in wheat.
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15
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Amalova A, Yermekbayev K, Griffiths S, Abugalieva S, Babkenov A, Fedorenko E, Abugalieva A, Turuspekov Y. Identification of quantitative trait loci of agronomic traits in bread wheat using a Pamyati Azieva × Paragon mapping population harvested in three regions of Kazakhstan. PeerJ 2022; 10:e14324. [PMID: 36389412 PMCID: PMC9653069 DOI: 10.7717/peerj.14324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/10/2022] [Indexed: 11/11/2022] Open
Abstract
Background Although genome-wide association studies (GWAS) are an increasingly informative tool in the mining of new quantitative trait loci (QTLs), a classical biparental mapping approach is still a powerful, widely used method to search the unique genetic factors associated with important agronomic traits in bread wheat. Methods In this study, a newly constructed mapping population of Pamyati Azieva (Russian Federation) × Paragon (UK), consisting of 94 recombinant inbred lines (RILs), was tested in three different regions of Kazakhstan with the purpose of QTL identification for key agronomic traits. The RILs were tested in 11 environments of two northern breeding stations (Petropavlovsk, North Kazakhstan region, and Shortandy, Aqmola region) and one southeastern station (Almalybak, Almaty region). The following eight agronomic traits were studied: heading days, seed maturation days, plant height, spike length, number of productive spikes, number of kernels per spike, thousand kernel weight, and yield per square meter. The 94 RILs of the PAxP cross were genotyped using Illumina's iSelect 20K single nucleotide polymorphism (SNP) array and resulted in the identification of 4595 polymorphic SNP markers. Results The application of the QTL Cartographer statistical package allowed the identification of 53 stable QTLs for the studied traits. A survey of published studies related to common wheat QTL identification suggested that 28 of those 53 QTLs were presumably novel genetic factors. The SNP markers for the identified QTLs of the analyzed agronomic traits of common wheat can be efficiently applied in ongoing breeding activities in the wheat breeding community using a marker-assisted selection approach.
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Affiliation(s)
- Akerke Amalova
- Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan,Faculty of Biology and Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Kanat Yermekbayev
- Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan,The John Innes Centre, Norwich, United Kingdom
| | | | - Saule Abugalieva
- Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan,Faculty of Biology and Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Adylkhan Babkenov
- A.I. Barayev Research and Production Centre of Grain Farming, Shortandy, Kazakhstan
| | - Elena Fedorenko
- North Kazakhstan Agricultural Experimental Station, Petropavlovsk, Kazakhstan
| | - Aigul Abugalieva
- Kazakh Research Institute of Agriculture and Plant Industry, Almalybak, Kazakhstan
| | - Yerlan Turuspekov
- Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan,Faculty of Biology and Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan
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Wang C, Bao Y, Yao Q, Long D, Xiao X, Fan X, Kang H, Zeng J, Sha L, Zhang H, Wu D, Zhou Y, Zhou Q, Wang Y, Cheng Y. Fine mapping of the reduced height gene Rht22 in tetraploid wheat landrace Jianyangailanmai (Triticum turgidum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3643-3660. [PMID: 36057866 DOI: 10.1007/s00122-022-04207-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
Rht22 was fine mapped in the interval of 0.53-1.48 Mb on 7AS, which reduces cell number of internode to cause semi-dwarfism in Jianyangailanmai. As a valuable germplasm resource for wheat genetic improvement, tetraploid wheat has several reduced height (Rht) and enhanced harvest index genes. Rht22, discovered in Jianyangailanmai (JAM, Triticum turgidum L., 2n = 4x = 28, AABB), significantly increases the spikelet number per spike, but its accurate chromosomal position is still unknown. In this study, a high-density genetic map was constructed using specific-length amplified fragment sequencing in an F7 RIL_DJ population, which was derived from a cross between dwarf Polish wheat (T. polonicum L., 2n = 4x = 28, AABB) and JAM. Two plant height loci, Qph.sicau-4B and Qph.sicau-7A, were mapped on chromosomes 4BS and 7AS, respectively. Qph.sicau-7A was mapped to the 0.33-4.46 Mb interval on 7AS and likely represents the candidate region of Rht22. Fine mapping confirmed and narrowed Rht22 on chromosome arm 7AS between Xbag295.s53 and Xb295.191 in three different populations. The physical region ranged from 0.53 to 1.48 Mb and included 18 candidate genes. Transcriptome analysis of two pairs of near-isogenic lines revealed that 135 differentially expressed genes (DEGs) were associated with semi-dwarfism. Of these, the expression of 83 annotated DEGs involved in hormones synthesis and signal transduction, cell wall composition, DNA replication, microtubule and phragmoplast arrays was significantly down-regulated in the semi-dwarf line. Therefore, Rht22 causes semi-dwarfism in JAM by disrupting these cellular processes, which impairs cell proliferation and reduces internode cell number.
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Affiliation(s)
- Chao Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yunjing Bao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Qin Yao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Dan Long
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Xue Xiao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Xing Fan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Houyang Kang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Jian Zeng
- College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Lina Sha
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Haiqin Zhang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Dandan Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Yonghong Zhou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China
| | - Qiang Zhou
- Chengdu Institute of Biology, Chinese Academy of Science, Chengdu, 610041, Sichuan, China.
| | - Yi Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
| | - Yiran Cheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, Sichuan, China.
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Wang H, Han X, Fu X, Sun X, Chen H, Wei X, Cui S, Liu Y, Guo W, Li X, Xing J, Zhang Y. Overexpression of TaLBD16-4D alters plant architecture and heading date in transgenic wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:911993. [PMID: 36212357 PMCID: PMC9533090 DOI: 10.3389/fpls.2022.911993] [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: 04/03/2022] [Accepted: 09/02/2022] [Indexed: 06/16/2023]
Abstract
Lateral organ boundaries domain (LBD) proteins, a class of plant-specific transcription factors with a special domain of lateral organ boundaries (LOB), play essential roles in plant growth and development. However, there is little known about the functions of these genes in wheat to date. Our previous study demonstrated that TaLBD16-4D is conducive to increasing lateral root number in wheat. In the present work, we further examined important agronomical traits of the aerial part of transgenic wheat overexpressing TaLBD16-4D. Interestingly, it was revealed that overexpressing TaLBD16-4D could lead to early heading and multiple alterations of plant architecture, including decreased plant height, increased flag leaf size and stem diameter, reduced spike length and tillering number, improved spike density and grain width, and decreased grain length. Moreover, auxin-responsive experiments demonstrated that the expression of TaLBD16-4D in wild-type (WT) wheat plants showed a significant upregulation through 2,4-D treatment. TaLBD16-4D-overexpression lines displayed a hyposensitivity to 2,4-D treatment and reduced shoot gravitropic response. The expressions of a set of auxin-responsive genes were markedly different between WT and transgenic plants. In addition, overexpressing TaLBD16-4D affected the transcript levels of flowering-related genes (TaGI, TaCO1, TaHd1, TaVRN1, TaVRN2, and TaFT1). Notably, the expression of TaGI, TaCO1, TaHd1, TaVRN1, and TaFT1 displayed significant upregulation under IAA treatment. Collectively, our observations indicated that overexpressing TaLBD16-4D could affect aerial architecture and heading time possibly though participating in the auxin pathway.
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Affiliation(s)
- Huifang Wang
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Xiaofan Han
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Xiaofeng Fu
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Xinling Sun
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Hailong Chen
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Xirui Wei
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Shubin Cui
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China
| | - Yiguo Liu
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Weiwei Guo
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Ximei Li
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Jiewen Xing
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China
| | - Yumei Zhang
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
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18
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Wheat genomic study for genetic improvement of traits in China. SCIENCE CHINA. LIFE SCIENCES 2022; 65:1718-1775. [PMID: 36018491 DOI: 10.1007/s11427-022-2178-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/10/2022] [Indexed: 01/17/2023]
Abstract
Bread wheat (Triticum aestivum L.) is a major crop that feeds 40% of the world's population. Over the past several decades, advances in genomics have led to tremendous achievements in understanding the origin and domestication of wheat, and the genetic basis of agronomically important traits, which promote the breeding of elite varieties. In this review, we focus on progress that has been made in genomic research and genetic improvement of traits such as grain yield, end-use traits, flowering regulation, nutrient use efficiency, and biotic and abiotic stress responses, and various breeding strategies that contributed mainly by Chinese scientists. Functional genomic research in wheat is entering a new era with the availability of multiple reference wheat genome assemblies and the development of cutting-edge technologies such as precise genome editing tools, high-throughput phenotyping platforms, sequencing-based cloning strategies, high-efficiency genetic transformation systems, and speed-breeding facilities. These insights will further extend our understanding of the molecular mechanisms and regulatory networks underlying agronomic traits and facilitate the breeding process, ultimately contributing to more sustainable agriculture in China and throughout the world.
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Chen Z, Ke W, He F, Chai L, Cheng X, Xu H, Wang X, Du D, Zhao Y, Chen X, Xing J, Xin M, Guo W, Hu Z, Su Z, Liu J, Peng H, Yao Y, Sun Q, Ni Z. A single nucleotide deletion in the third exon of FT-D1 increases the spikelet number and delays heading date in wheat (Triticum aestivum L.). PLANT BIOTECHNOLOGY JOURNAL 2022; 20:920-933. [PMID: 34978137 PMCID: PMC9055817 DOI: 10.1111/pbi.13773] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 12/02/2021] [Accepted: 12/24/2021] [Indexed: 05/31/2023]
Abstract
The spikelet number and heading date are two crucial and correlated traits for yield in wheat. Here, a quantitative trait locus (QTL) analysis was conducted in F8 recombinant inbred lines (RILs) derived from crossing two common wheats with different spikelet numbers. A total of 15 stable QTL influencing total spikelet number (TSN) and heading date (HD) were detected. Notably, FT-D1, a well-known flowering time gene in wheat, was located within the finely mapped interval of a major QTL on 7DS (QTsn/Hd.cau-7D). A causal indel of one G in the third exon of FT-D1 was significantly associated with total spikelet number and heading date. Consistently, CRISPR/Cas9 mutant lines with homozygous mutations in FT-D1 displayed an increase in total spikelet number and heading date when compared with wild type. Moreover, one simple and robust marker developed according to the polymorphic site of FT-D1 revealed that this one G indel had been preferentially selected to adapt to different environments. Collectively, these data provide further insights into the genetic basis of spikelet number and heading date, and the diagnostic marker of FT-D1 will be useful for marker-assisted pyramiding in wheat breeding.
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Affiliation(s)
- Zhaoyan Chen
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Wensheng Ke
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Fei He
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Lingling Chai
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Xuejiao Cheng
- State Key Laboratory for Crop Genetics and Germplasm EnhancementJCIC‐MCPCIC‐MCPNanjing Agricultural UniversityNanjingChina
| | - Huanwen Xu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Xiaobo Wang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Dejie Du
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Yidi Zhao
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Xiyong Chen
- Hebei Crop Genetic Breeding LaboratoryInstitute of Cereal and Oil CropsHebei Academy of Agriculture and Forestry SciencesShijiazhuangChina
| | - Jiewen Xing
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Mingming Xin
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Weilong Guo
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Zhaorong Hu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Zhenqi Su
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Jie Liu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Huiru Peng
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Yingyin Yao
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Qixin Sun
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
| | - Zhongfu Ni
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE)Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
- National Plant Gene Research CentreBeijingChina
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20
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Katz A, Byrne P, Reid S, Bratschun S, Haley S, Pearce S. Identification and validation of a QTL for spikelet number on chromosome arm 6BL of common wheat ( Triticum aestivum L.). MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2022; 42:17. [PMID: 37309457 PMCID: PMC10248590 DOI: 10.1007/s11032-022-01288-7] [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: 07/30/2021] [Accepted: 03/07/2022] [Indexed: 06/14/2023]
Abstract
To provide food security for a growing world population, it will be necessary to increase yields of staple crops such as wheat (Triticum aestivum L.). Yield is a complex, polygenic trait influenced by grain weight and number, which are negatively correlated with one another. Spikelet number is an important determinant of grain number, but allelic variants impacting its expression are often associated with heading date, constraining their use in wheat germplasm that must be adapted for specific environments. Identification and characterization of genetic variants affecting spikelet number will increase selection efficiency through their deployment in breeding programs. In this study, a quantitative trait locus (QTL) on chromosome arm 6BL for spikelet number was identified and validated using an association mapping panel, a recombinant inbred line population, and seven derived heterogeneous inbred families. The superior allele, QSn.csu-6Bb, was associated with an increase of 0.248 to 0.808 spikelets per spike across multiple environments that varied for mean spikelet number. Despite epistatic interactions between QSn.csu-6B and three other loci (WAPO-A1, VRN-D3, and PPD-B1), genotypes with a greater number of superior alleles at these loci consistently exhibit higher spikelet number. The frequency of superior alleles at these loci varies among winter wheat varieties adapted to different latitudes of the US Great Plains, revealing opportunities for breeders to select for increased spikelet number using simple molecular markers. This work lays the foundation for the positional cloning of the genetic variant underlying the QSn.csu-6B QTL to strengthen our understanding of spikelet number determination in wheat. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-022-01288-7.
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Affiliation(s)
- Andrew Katz
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523 USA
| | - Patrick Byrne
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523 USA
| | - Scott Reid
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523 USA
| | - Sarah Bratschun
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523 USA
| | - Scott Haley
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523 USA
| | - Stephen Pearce
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523 USA
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21
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Xu H, Zhang R, Wang M, Li L, Yan L, Wang Z, Zhu J, Chen X, Zhao A, Su Z, Xing J, Sun Q, Ni Z. Identification and characterization of QTL for spike morphological traits, plant height and heading date derived from the D genome of natural and resynthetic allohexaploid wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:389-403. [PMID: 34674009 DOI: 10.1007/s00122-021-03971-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 10/08/2021] [Indexed: 06/13/2023]
Abstract
QHd.cau-7D.1 for heading date was delimited into the physical interval of approximately 17.38 Mb harboring three CONSTANS-like zinc finger genes. Spike morphological traits, plant height and heading date play important roles in yield improvement of wheat. To reveal the genetic factors that controlling spike morphological traits, plant height and heading date on the D genome, we conducted analysis of quantitative traits locus (QTL) using 198 F7:8 recombinant inbred lines (RILs) derived from a cross between the common wheat TAA10 and resynthesized allohexaploid wheat XX329 with similar AABB genomes. A total of 23 environmentally stable QTL on the D sub-genome for spike length (SL), fertile spikelet number per spike (FSN), sterile spikelet number per spike (SSN), total spikelet number per spike (TSN), spike compactness (SC), plant height (PHT) and heading date (HD) were detected, among which eight appeared to be novel QTL. Furthermore, QHd.cau-7D.1 and QPht.cau-7D.2 shared identical confidence interval and were delimited into the physical interval of approximately 17.38 Mb with 145 annotated genes, including three CONSTANS-like zinc finger genes (TraesCS7D02G209000, TraesCS7D02G213000 and TraesCS7D02G220300). This study will help elucidate the molecular mechanism of the seven traits (SL, FSN, SSN, TSN, SC, PHT and HD) and provide a potentially valuable resource for genetic improvement.
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Affiliation(s)
- Huanwen Xu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Runqi Zhang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Mingming Wang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Linghong Li
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Lei Yan
- Institute of Crop Sciences (ICS), Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Zhen Wang
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Jun Zhu
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Xiyong Chen
- Hebei Crop Genetic Breeding Laboratory, Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Aiju Zhao
- Hebei Crop Genetic Breeding Laboratory, Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, China
| | - Zhenqi Su
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Jiewen Xing
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Qixin Sun
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- National Plant Gene Research Centre, Beijing, 100193, China
| | - Zhongfu Ni
- State Key Laboratory for Agrobiotechnology, Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
- National Plant Gene Research Centre, Beijing, 100193, China.
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Zhou X, Nong C, Wu B, Zhou T, Zhang B, Liu X, Gao G, Mi J, Zhang Q, Liu H, Liu S, Li Z, He Y, Mou T, Guo S, Li S, Yang Y, Zhang Q, Xing Y. Combinations of Ghd7, Ghd8, and Hd1 determine strong heterosis of commercial rice hybrids in diverse ecological regions. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:6963-6976. [PMID: 34283218 DOI: 10.1093/jxb/erab344] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 07/20/2021] [Indexed: 06/13/2023]
Abstract
Heterosis of grain yield is closely associated with heading date in crops. Gene combinations of the major heading date genes Ghd7, Ghd8, and Hd1 play important roles in enhancing grain yield and adaptation to ecological regions in rice. However, the predominant three-gene combinations for a specific ecological region remain unclear in both three-line and two-line hybrids. In this study, we sequenced these three genes of 50 cytoplasmic male sterile/maintainer lines, 31 photo-thermo-sensitive genic male sterile lines, and 109 restorer lines. Sequence analysis showed that hybrids carrying strong functional alleles of Ghd7 and Hd1 and non-functional Ghd8 are predominant in three-line hybrids and are recommended for rice production in the subtropics around 30°N/S. Hybrids carrying strong functional Ghd7 and Ghd8 and non-functional Hd1 are predominant in two-line hybrids and are recommended for low latitude areas around 23.5°N/S rich in photothermal resources. Hybrids carrying strong functional Ghd7 and Ghd8 and functional Hd1 were not identified in commercial hybrids in the middle and lower reaches of the Yangtze River, but they have high yield potential in tropical regions because they have the strongest photoperiod sensitivity. Based on these findings, two genic sterile lines, Xiangling 628S and C815S, whose hybrids often head very late, were diagnosed with these three genes, and Hd1 was targeted to be knocked out in Xiangling 628S and replaced with hd1 in C815S. The hybrids developed from both modified sterile lines in turn had appropriate heading dates and significantly improved grain yield. This study provides new insights for breeding design to develop hybrids for various regions.
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Affiliation(s)
- Xiangchun Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Chunxiao Nong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Bi Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Tianhao Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Bo Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Xingshao Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Guanjun Gao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Jiaming Mi
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Qinglu Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Haiyang Liu
- College of Agriculture, Yangtze University, Jingzhou 434023,China
| | - Shisheng Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Zhixin Li
- College of Agriculture, Yangtze University, Jingzhou 434023,China
| | - Yuqing He
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Tongmin Mou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Sibin Guo
- Rice Research Institute, Guangxi Academy of Agricultural Sciences, Naning 530007,China
| | - Shaoqing Li
- College of Life Science, Wuhan University, Wuhan 430072,China
| | - Yuanzhu Yang
- Key Laboratory of Southern Rice Innovation & Improvement, Ministry of Agriculture and Rural Affairs, Hunan Engineering Laboratory of Disease and Pest Resistant Rice Breeding, Yuan Longping High-Tech Agriculture Co., Ltd, Changsha 410128,China
| | - Qifa Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,China
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Volante A, Barabaschi D, Marino R, Brandolini A. Genome-wide association study for morphological, phenological, quality, and yield traits in einkorn (Triticum monococcum L. subsp. monococcum). G3 (BETHESDA, MD.) 2021; 11:jkab281. [PMID: 34849796 PMCID: PMC8527505 DOI: 10.1093/g3journal/jkab281] [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: 01/15/2021] [Accepted: 07/27/2021] [Indexed: 11/12/2022]
Abstract
Einkorn (Triticum monococcum L. subsp. monococcum, 2n = 2× = 14, AmAm) is a diploid wheat whose cultivation was widespread in the Mediterranean and European area till the Bronze Age, before it was replaced by the more productive durum and bread wheats. Although scarcely cultivated nowadays, it has gained renewed interest due to its relevant nutritional properties and as source of genetic diversity for crop breeding. However, the molecular basis of many traits of interest in einkorn remain still unknown. A panel of 160 einkorn landraces, from different parts of the distribution area, was characterized for several phenotypic traits related to morphology, phenology, quality, and yield for 4 years in two locations. An approach based on co-linearity with the A genome of bread wheat, supported also by that with Triticum urartu genome, was exploited to perform association mapping, even without an einkorn anchored genome. The association mapping approach uncovered numerous marker-trait associations; for 37 of these, a physical position was inferred by homology with the bread wheat genome. Moreover, numerous associated regions were also assigned to the available T. monococcum contigs. Among the intervals detected in this work, three overlapped with regions previously described as involved in the same trait, while four other regions were localized in proximity of loci previously described and presumably refer to the same gene/QTL. The remaining associated regions identified in this work could represent a novel and useful starting point for breeding approaches to improve the investigated traits in this neglected species.
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Affiliation(s)
- Andrea Volante
- CREA—Research Centre for Cereal and Industrial Crops, 13100 Vercelli, Italy
| | - Delfina Barabaschi
- CREA—Research Centre for Genomics and Bioinformatics, 29017 Fiorenzuola d’Arda, Italy and
| | - Rosanna Marino
- CREA—Research Centre for Animal Production and Aquaculture, 26900 Lodi, Italy
| | - Andrea Brandolini
- CREA—Research Centre for Animal Production and Aquaculture, 26900 Lodi, Italy
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24
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Isham K, Wang R, Zhao W, Wheeler J, Klassen N, Akhunov E, Chen J. QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2079-2095. [PMID: 33687497 PMCID: PMC8263538 DOI: 10.1007/s00122-021-03806-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 02/24/2021] [Indexed: 05/07/2023]
Abstract
Four genomic regions on chromosomes 4A, 6A, 7B, and 7D were discovered, each with multiple tightly linked QTL (QTL clusters) associated with two to three yield components. The 7D QTL cluster was associated with grain yield, fertile spikelet number per spike, thousand kernel weight, and heading date. It was located in the flanking region of FT-D1, a homolog gene of Arabidopsis FLOWERING LOCUS T, a major gene that regulates wheat flowering. Genetic manipulation of yield components is an important approach to increase grain yield in wheat (Triticum aestivum). The present study used a mapping population comprised of 181 doubled haploid lines derived from two high-yielding spring wheat cultivars, UI Platinum and LCS Star. The two cultivars and the derived population were assessed for six traits in eight field trials primarily in Idaho in the USA. The six traits were grain yield, fertile spikelet number per spike, productive tiller number per unit area, thousand kernel weight, heading date, and plant height. Quantitative Trait Locus (QTL) analysis of the six traits was conducted using 14,236 single-nucleotide polymorphism (SNP) markers generated from the wheat 90 K SNP and the exome and promoter capture arrays. Of the 19 QTL detected, 14 were clustered in four chromosomal regions on 4A, 6A, 7B and 7D. Each of the four QTL clusters was associated with multiple yield component traits, and these traits were often negatively correlated with one another. As a result, additional QTL dissection studies are needed to optimize trade-offs among yield component traits for specific production environments. Kompetitive allele-specific PCR markers for the four QTL clusters were developed and assessed in an elite spring wheat panel of 170 lines, and eight of the 14 QTL were validated. The two parents contain complementary alleles for the four QTL clusters, suggesting the possibility of improving grain yield via genetic recombination of yield component loci.
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Affiliation(s)
- Kyle Isham
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Rui Wang
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Weidong Zhao
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Justin Wheeler
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Natalie Klassen
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA
| | - Eduard Akhunov
- Department of Plant Sciences, Kansas State University, Manhattan, KS, USA
| | - Jianli Chen
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA.
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25
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Nishimura K, Handa H, Mori N, Kawaura K, Kitajima A, Nakazaki T. Geographical distribution and adaptive variation of VRN-A3 alleles in worldwide polyploid wheat (Triticum spp.) species collection. PLANTA 2021; 253:132. [PMID: 34059984 DOI: 10.1007/s00425-021-03646-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 05/20/2021] [Indexed: 06/12/2023]
Abstract
The distribution of early flowering alleles of VRN-A3 was found to be biased to low latitudes, and these alleles may contribute to environmental adaptability to low latitudes in cultivated emmer wheat. In wheat (Triticum spp.), the flowering time is an important trait for successful seed production and yield by adapting to the regional environment. An early flowering allele of VRN-A3 with 7- and 25-bp insertions in the promoter region (Vrn-A3a-h1) has recently been reported from the analysis of an emmer wheat (Triticum turgidum L. ssp. dicoccum) accession, TN26. This early flowering allele of VRN-A3 might be associated with the regional adaptation of wheat. In this study, we elucidated its geographic distribution to assess the importance of the early flowering allele of VRN-A3 in worldwide wheat collection. From sequence analysis, we identified six VRN-A3 alleles with the 7- and 25-bp insertions, namely, Vrn-A3a-h2, Vrn-A3a-h3, Vrn-A3a-h4, Vrn-A3a-h5, Vrn-A3a-h6, and Vrn-A3c-h2 from wild emmer wheat, while we identified two VRN-A3 alleles with these insertions, Vrn-A3a-h2 and Vrn-A3c-h1 from cultivated tetraploid and hexaploid wheat species in addition to Vrn-A3a-h1. Among VRN-A3 alleles distributed in cultivated wheat, we found that Vrn-A3a-h2 promoted early heading, whereas Vrn-A3c-h1 did not affect heading time. Our analysis showed that the distribution of early flowering alleles of VRN-A3 dominated in cultivated emmer wheat in Ethiopia and India, which actually showed an early flowering phenotype. This implied that the early flowering alleles of VRN-A3 contribute to adaptability to a low-latitude environment in cultivated emmer wheat. We could not find durum (T. turgidum L. ssp. durum) and bread wheat (T. aestivum L. ssp. aestivum) accessions with these early flowering alleles. Our findings indicated that Vrn-A3a-h1 and Vrn-A3a-h2 were useful for breeding of early flowering cultivars in durum and bread wheat varieties.
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Affiliation(s)
- Kazusa Nishimura
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa, Kyoto, 619-0218, Japan
| | - Hirokazu Handa
- Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Shimogamo-Hangicho, Sakyo-ku, Kyoto, 606-8522, Japan
| | - Naoki Mori
- Graduate School of Agricultural Science, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, 657-8501, Japan
| | - Kanako Kawaura
- Kihara Institute for Biological Research and Department of Nanobioscience, Yokohama City University, 641-12, Maioka-cho, Yokohama, 244-0813, Japan
| | - Akira Kitajima
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa, Kyoto, 619-0218, Japan
| | - Tetsuya Nakazaki
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa, Kyoto, 619-0218, Japan.
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26
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DeWitt N, Guedira M, Lauer E, Murphy JP, Marshall D, Mergoum M, Johnson J, Holland JB, Brown-Guedira G. Characterizing the oligogenic architecture of plant growth phenotypes informs genomic selection approaches in a common wheat population. BMC Genomics 2021; 22:402. [PMID: 34058974 PMCID: PMC8166015 DOI: 10.1186/s12864-021-07574-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 03/24/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genetic variation in growth over the course of the season is a major source of grain yield variation in wheat, and for this reason variants controlling heading date and plant height are among the best-characterized in wheat genetics. While the major variants for these traits have been cloned, the importance of these variants in contributing to genetic variation for plant growth over time is not fully understood. Here we develop a biparental population segregating for major variants for both plant height and flowering time to characterize the genetic architecture of the traits and identify additional novel QTL. RESULTS We find that additive genetic variation for both traits is almost entirely associated with major and moderate-effect QTL, including four novel heading date QTL and four novel plant height QTL. FT2 and Vrn-A3 are proposed as candidate genes underlying QTL on chromosomes 3A and 7A, while Rht8 is mapped to chromosome 2D. These mapped QTL also underlie genetic variation in a longitudinal analysis of plant growth over time. The oligogenic architecture of these traits is further demonstrated by the superior trait prediction accuracy of QTL-based prediction models compared to polygenic genomic selection models. CONCLUSIONS In a population constructed from two modern wheat cultivars adapted to the southeast U.S., almost all additive genetic variation in plant growth traits is associated with known major variants or novel moderate-effect QTL. Major transgressive segregation was observed in this population despite the similar plant height and heading date characters of the parental lines. This segregation is being driven primarily by a small number of mapped QTL, instead of by many small-effect, undetected QTL. As most breeding populations in the southeast U.S. segregate for known QTL for these traits, genetic variation in plant height and heading date in these populations likely emerges from similar combinations of major and moderate effect QTL. We can make more accurate and cost-effective prediction models by targeted genotyping of key SNPs.
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Affiliation(s)
- Noah DeWitt
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, 27695, NC, United States.,USDA-ARS SEA, Plant Science Research, Raleigh, 27695, NC, USA
| | - Mohammed Guedira
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, 27695, NC, United States
| | - Edwin Lauer
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, 27695, NC, United States
| | - J Paul Murphy
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, 27695, NC, United States
| | - David Marshall
- USDA-ARS SEA, Plant Science Research, Raleigh, 27695, NC, USA
| | - Mohamed Mergoum
- Department of Crop and Soil Sciences, University of Georgia, Athens, 30602, GA, USA
| | - Jerry Johnson
- Department of Crop and Soil Sciences, University of Georgia, Athens, 30602, GA, USA
| | - James B Holland
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, 27695, NC, United States.,USDA-ARS SEA, Plant Science Research, Raleigh, 27695, NC, USA
| | - Gina Brown-Guedira
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, 27695, NC, United States. .,USDA-ARS SEA, Plant Science Research, Raleigh, 27695, NC, USA.
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27
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Jeon YA, Lee HS, Kim SH, Shim KC, Kang JW, Kim HJ, Tai TH, Ahn SN. Natural variation in rice ascorbate peroxidase gene APX9 is associated with a yield-enhancing QTL cluster. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:4254-4268. [PMID: 33831183 PMCID: PMC8163052 DOI: 10.1093/jxb/erab155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 04/04/2021] [Indexed: 05/08/2023]
Abstract
We previously identified a cluster of yield-related quantitative trait loci (QTLs) including plant height in CR4379, a near-isogenic line from a cross between Oryza sativa spp. japonica cultivar 'Hwaseong' and the wild relative Oryza rufipogon. Map-based cloning and transgenic approaches revealed that APX9, which encodes an l-ascorbate peroxidase 4, is associated with this cluster. A 3 bp InDel was observed leading to the addition of a valine in Hwaseong compared with O. rufipogon. APX9-overexpressing transgenic plants in the Hwaseong background were taller than Hwaseong. Consistent with these results, APX9 T-DNA insertion mutants in the japonica cultivar Dongjin were shorter. These results confirm that APX9 is the causal gene for the QTL cluster. Sequence analysis of APX9 from 303 rice accessions revealed that the 3 bp InDel clearly differentiates japonica (APX9HS) and O. rufipogon (APX9OR) alleles. indica accessions shared both alleles, suggesting that APX9HS was introgressed into indica followed by crossing. The finding that O. rufipogon accessions with different origins carry APX9OR suggests that the 3 bp insertion was specifically selected in japonica during its domestication. Our findings demonstrate that APX9 acts as a major regulator of plant development by controlling a valuable suite of agronomically important traits in rice.
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Affiliation(s)
- Yun-A Jeon
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Hyun-Sook Lee
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Sun-Ha Kim
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Kyu-Chan Shim
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Ju-Won Kang
- Department of Southern Area Crop Science, Rural Development Administration, Miryang 50424, Republic of Korea
| | | | - Thomas H Tai
- USDA-ARS Crops Pathology and Genetics Research Unit, Davis, CA 95616, USA
- Department of Plant Sciences, University of California, Davis, CA 95616, USA
| | - Sang-Nag Ahn
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
- Correspondence:
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28
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Shimizu KK, Copetti D, Okada M, Wicker T, Tameshige T, Hatakeyama M, Shimizu-Inatsugi R, Aquino C, Nishimura K, Kobayashi F, Murata K, Kuo T, Delorean E, Poland J, Haberer G, Spannagl M, Mayer KFX, Gutierrez-Gonzalez J, Muehlbauer GJ, Monat C, Himmelbach A, Padmarasu S, Mascher M, Walkowiak S, Nakazaki T, Ban T, Kawaura K, Tsuji H, Pozniak C, Stein N, Sese J, Nasuda S, Handa H. De Novo Genome Assembly of the Japanese Wheat Cultivar Norin 61 Highlights Functional Variation in Flowering Time and Fusarium-Resistant Genes in East Asian Genotypes. PLANT & CELL PHYSIOLOGY 2021; 62:8-27. [PMID: 33244607 PMCID: PMC7991897 DOI: 10.1093/pcp/pcaa152] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 11/22/2020] [Indexed: 05/08/2023]
Abstract
Bread wheat is a major crop that has long been the focus of basic and breeding research. Assembly of its genome has been difficult because of its large size and allohexaploid nature (AABBDD genome). Following the first reported assembly of the genome of the experimental strain Chinese Spring (CS), the 10+ Wheat Genomes Project was launched to produce multiple assemblies of worldwide modern cultivars. The only Asian cultivar in the project is Norin 61, a representative Japanese cultivar adapted to grow across a broad latitudinal range, mostly characterized by a wet climate and a short growing season. Here, we characterize the key aspects of its chromosome-scale genome assembly spanning 15 Gb with a raw scaffold N50 of 22 Mb. Analysis of the repetitive elements identified chromosomal regions unique to Norin 61 that encompass a tandem array of the pathogenesis-related 13 family. We report novel copy-number variations in the B homeolog of the florigen gene FT1/VRN3, pseudogenization of its D homeolog and the association of its A homeologous alleles with the spring/winter growth habit. Furthermore, the Norin 61 genome carries typical East Asian functional variants different from CS, ranging from a single nucleotide to multi-Mb scale. Examples of such variation are the Fhb1 locus, which confers Fusarium head-blight resistance, Ppd-D1a, which confers early flowering, Glu-D1f for Asian noodle quality and Rht-D1b, which introduced semi-dwarfism during the green revolution. The adoption of Norin 61 as a reference assembly for functional and evolutionary studies will enable comprehensive characterization of the underexploited Asian bread wheat diversity.
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Affiliation(s)
- Kentaro K Shimizu
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Dario Copetti
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
- Department of Environmental Systems Science, Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland
| | - Moeko Okada
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Toshiaki Tameshige
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
- Department of Biology, Faculty of Science, Niigata University, Niigata, Japan
| | - Masaomi Hatakeyama
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
- Functional Genomics Center Zurich, Zurich, Switzerland
| | - Rie Shimizu-Inatsugi
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | | | - Kazusa Nishimura
- Graduate School of Agriculture, Kyoto University, Kizugawa, Japan
| | - Fuminori Kobayashi
- Division of Basic Research, Institute of Crop Science, NARO, Tsukuba, Japan
| | - Kazuki Murata
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Tony Kuo
- National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
- University of Guelph, Centre for Biodiversity Genomics, Guelph, ON, Canada
| | - Emily Delorean
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Jesse Poland
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Georg Haberer
- Helmholtz Zentrum München—Research Center for Environmental Health, Neuherberg, Germany
| | - Manuel Spannagl
- Helmholtz Zentrum München—Research Center for Environmental Health, Neuherberg, Germany
| | - Klaus F X Mayer
- Helmholtz Zentrum München—Research Center for Environmental Health, Neuherberg, Germany
- School of Life Sciences, Technical University Munich, Weihenstephan, Germany
| | | | - Gary J Muehlbauer
- Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, MN, USA
| | - Cecile Monat
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Axel Himmelbach
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Sudharsan Padmarasu
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Sean Walkowiak
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
- Canadian Grain Commission, Grain Research Laboratory, Winnipeg, MB, Canada
| | - Tetsuya Nakazaki
- Graduate School of Agriculture, Kyoto University, Kizugawa, Japan
| | - Tomohiro Ban
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
| | - Kanako Kawaura
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
| | - Hiroyuki Tsuji
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
| | - Curtis Pozniak
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
- Department of Crop Science, Center of Integrated Breeding Research (CiBreed), Georg-August-University, Göttingen, Germany
| | - Jun Sese
- National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
- Humanome Lab, Inc, Tokyo, Japan
| | - Shuhei Nasuda
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Hirokazu Handa
- Division of Basic Research, Institute of Crop Science, NARO, Tsukuba, Japan
- Laboratoty of Plant Breeding, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto, Japan
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29
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Li T, Deng G, Tang Y, Su Y, Wang J, Cheng J, Yang Z, Qiu X, Pu X, Zhang H, Liang J, Yu M, Wei Y, Long H. Identification and Validation of a Novel Locus Controlling Spikelet Number in Bread Wheat ( Triticum aestivum L.). FRONTIERS IN PLANT SCIENCE 2021; 12:611106. [PMID: 33719283 PMCID: PMC7952655 DOI: 10.3389/fpls.2021.611106] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 01/29/2021] [Indexed: 05/24/2023]
Abstract
Spikelet number is an important target trait for wheat yield improvement. Thus, the identification and verification of novel quantitative trait locus (QTL)/genes controlling spikelet number are essential for dissecting the underlying molecular mechanisms and hence for improving grain yield. In the present study, we constructed a high-density genetic map for the Kechengmai1/Chuanmai42 doubled haploid (DH) population using 13,068 single-nucleotide polymorphism (SNP) markers from the Wheat 55K SNP array. A comparison between the genetic and physical maps indicated high consistence of the marker orders. Based on this genetic map, a total of 27 QTLs associated with total spikelet number per spike (TSN) and fertile spikelet number per spike (FSN) were detected on chromosomes 1B, 1D, 2B, 2D, 3D, 4A, 4D, 5A, 5B, 5D, 6A, 6B, and 7D in five environments. Among them, five QTLs on chromosome 2D, 3D, 5A, and 7D were detected in multiple environments and combined QTL analysis, explaining the phenotypic variance ranging from 3.64% to 23.28%. Particularly, QTsn/Fsn.cib-3D for TSN and FSN [phenotypic variation explained (PVE) = 5.97-23.28%, limit of detection (LOD) = 3.73-18.51] is probably a novel locus and located in a 4.5-cM interval on chromosome arm 3DL flanking by the markers AX-110914105 and AX-109429351. This QTL was further validated in other two populations with different genetic backgrounds using the closely linked Kompetitive Allele-Specific PCR (KASP) marker KASP_AX-110914105. The results indicated that QTsn/Fsn.cib-3D significantly increased the TSN (5.56-7.96%) and FSN (5.13-9.35%), which were significantly correlated with grain number per spike (GNS). We also preliminary analyzed the candidate genes within this locus by sequence similarity, spatial expression patterns, and collinearity analysis. These results provide solid foundation for future fine mapping and cloning of QTsn/Fsn.cib-3D. The developed and validated KASP markers could be utilized in molecular breeding aiming to increase the grain yield in wheat.
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Affiliation(s)
- Tao Li
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
| | - Guangbing Deng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Yanyan Tang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Yan Su
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Jinhui Wang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Jie Cheng
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Zhao Yang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Xuebing Qiu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Xi Pu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Haili Zhang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Junjun Liang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Maoqun Yu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Yuming Wei
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, China
| | - Hai Long
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
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30
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Brassac J, Muqaddasi QH, Plieske J, Ganal MW, Röder MS. Linkage mapping identifies a non-synonymous mutation in FLOWERING LOCUS T (FT-B1) increasing spikelet number per spike. Sci Rep 2021; 11:1585. [PMID: 33452357 PMCID: PMC7811022 DOI: 10.1038/s41598-020-80473-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 12/17/2020] [Indexed: 11/21/2022] Open
Abstract
Total spikelet number per spike (TSN) is a major component of spike architecture in wheat (Triticumaestivum L.). A major and consistent quantitative trait locus (QTL) was discovered for TSN in a doubled haploid spring wheat population grown in the field over 4 years. The QTL on chromosome 7B explained up to 20.5% of phenotypic variance. In its physical interval (7B: 6.37–21.67 Mb), the gene FLOWERINGLOCUST (FT-B1) emerged as candidate for the observed effect. In one of the parental lines, FT-B1 carried a non-synonymous substitution on position 19 of the coding sequence. This mutation modifying an aspartic acid (D) into a histidine (H) occurred in a highly conserved position. The mutation was observed with a frequency of ca. 68% in a set of 135 hexaploid wheat varieties and landraces, while it was not found in other plant species. FT-B1 only showed a minor effect on heading and flowering time (FT) which were dominated by a major QTL on chromosome 5A caused by segregation of the vernalization gene VRN-A1. Individuals carrying the FT-B1 allele with amino acid histidine had, on average, a higher number of spikelets (15.1) than individuals with the aspartic acid allele (14.3) independent of their VRN-A1 allele. We show that the effect of TSN is not mainly related to flowering time; however, the duration of pre-anthesis phases may play a major role.
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Affiliation(s)
- Jonathan Brassac
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr 3, 06466, Stadt Seeland OT Gatersleben, Germany.
| | - Quddoos H Muqaddasi
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr 3, 06466, Stadt Seeland OT Gatersleben, Germany.,European Wheat Breeding Center, BASF Agricultural Solutions GmbH, Am Schwabeplan 8, 06466, Stadt Seeland OT Gatersleben, Germany
| | - Jörg Plieske
- TraitGenetics GmbH, Am Schwabeplan 1b, 06466, Stadt Seeland OT Gatersleben, Germany
| | - Martin W Ganal
- TraitGenetics GmbH, Am Schwabeplan 1b, 06466, Stadt Seeland OT Gatersleben, Germany
| | - Marion S Röder
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr 3, 06466, Stadt Seeland OT Gatersleben, Germany
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Mo Z, Zhu J, Wei J, Zhou J, Xu Q, Tang H, Mu Y, Deng M, Jiang Q, Liu Y, Chen G, Wang J, Qi P, Li W, Wei Y, Zheng Y, Lan X, Ma J. The 55K SNP-Based Exploration of QTLs for Spikelet Number Per Spike in a Tetraploid Wheat ( Triticum turgidum L.) Population: Chinese Landrace "Ailanmai" × Wild Emmer. FRONTIERS IN PLANT SCIENCE 2021; 12:732837. [PMID: 34531890 PMCID: PMC8439258 DOI: 10.3389/fpls.2021.732837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 08/18/2021] [Indexed: 05/08/2023]
Abstract
Spikelet number per spike (SNS) is the primary factor that determines wheat yield. Common wheat breeding reduces the genetic diversity among elite germplasm resources, leading to a detrimental effect on future wheat production. It is, therefore, necessary to explore new genetic resources for SNS to increase wheat yield. A tetraploid landrace "Ailanmai" × wild emmer wheat recombinant inbred line (RIL) population was used to construct a genetic map using a wheat 55K single- nucleotide polymorphism (SNP) array. The linkage map containing 1,150 bin markers with a total genetic distance of 2,411.8 cm was obtained. Based on the phenotypic data from the eight environments and best linear unbiased prediction (BLUP) values, five quantitative trait loci (QTLs) for SNS were identified, explaining 6.71-29.40% of the phenotypic variation. Two of them, QSns.sau-AM-2B.2 and QSns.sau-AM-3B.2, were detected as a major and novel QTL. Their effects were further validated in two additional F2 populations using tightly linked kompetitive allele-specific PCR (KASP) markers. Potential candidate genes within the physical intervals of the corresponding QTLs were predicted to participate in inflorescence development and spikelet formation. Genetic associations between SNS and other agronomic traits were also detected and analyzed. This study demonstrates the feasibility of the wheat 55K SNP array developed for common wheat in the genetic mapping of tetraploid population and shows the potential application of wheat-related species in wheat improvement programs.
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Affiliation(s)
- Ziqiang Mo
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jing Zhu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jiatai Wei
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jieguang Zhou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Qiang Xu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Huaping Tang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yang Mu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Mei Deng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Qiantao Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yaxi Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Guoyue Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jirui Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Pengfei Qi
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Wei Li
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Yuming Wei
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Youliang Zheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Xiujin Lan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
- Xiujin Lan
| | - Jian Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
- *Correspondence: Jian Ma
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Zhang W, Boyle K, Brûlé-Babel AL, Fedak G, Gao P, Robleh Djama Z, Polley B, Cuthbert RD, Randhawa HS, Jiang F, Eudes F, Fobert PR. Genetic Characterization of Multiple Components Contributing to Fusarium Head Blight Resistance of FL62R1, a Canadian Bread Wheat Developed Using Systemic Breeding. FRONTIERS IN PLANT SCIENCE 2020; 11:580833. [PMID: 33193525 PMCID: PMC7649146 DOI: 10.3389/fpls.2020.580833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 09/16/2020] [Indexed: 05/07/2023]
Abstract
Fusarium head blight (FHB) is a devastating fungal disease of small-grain cereals that results in severe yield and quality losses. FHB resistance is controlled by resistance components including incidence, field severity, visual rating index, Fusarium damaged kernels (FDKs), and the accumulation of the mycotoxin deoxynivalenol (DON). Resistance conferred by each of these components is partial and must be combined to achieve resistance sufficient to protect wheat from yield losses. In this study, two biparental mapping populations were analyzed in Canadian FHB nurseries and quantitative trait loci (QTL) mapped for the traits listed above. Nine genomic loci, on 2AS, 2BS, 3BS, 4AS, 4AL, 4BS, 5AS, 5AL, and 5BL, were enriched for the majority of the QTL controlling FHB resistance. The previously validated FHB resistance QTL on 3BS and 5AS affected resistance to severity, FDK, and DON in these populations. The remaining seven genomic loci colocalize with flowering time and/or plant height QTL. The QTL on 4B was a major contributor to all field resistance traits and plant height in the field. QTL on 4AL showed contrasting effects for FHB resistance between Eastern and Western Canada, indicating a local adapted resistance to FHB. In addition, we also found that the 2AS QTL contributed a major effect for DON, and the 2BS for FDK, while the 5AL conferred mainly effect for both FDK/DON. Results presented here provide insight into the genetic architecture underlying these resistant components and insight into how FHB resistance in wheat is controlled by a complex network of interactions between genes controlling flowering time, plant height, local adaption, and FHB resistance components.
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Affiliation(s)
- Wentao Zhang
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Kerry Boyle
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | | | - George Fedak
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Peng Gao
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Zeinab Robleh Djama
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
- Aquatic and Crop Resources Development, National Research Council of Canada, Ottawa, ON, Canada
| | - Brittany Polley
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Richard D. Cuthbert
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Harpinder S. Randhawa
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - Fengying Jiang
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - François Eudes
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, Canada
| | - Pierre R. Fobert
- Aquatic and Crop Resources Development, National Research Council of Canada, Saskatoon, SK, Canada
- Aquatic and Crop Resources Development, National Research Council of Canada, Ottawa, ON, Canada
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