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Sun N, Liu W, Shi D, Zhao C, Ou J, Song Y, Yang Z, Sun H, Wu Y, Qin R, Yuan T, Jiao Y, Li L, Cui F. Mapping QTLs with additive and epistatic effects for awn length and their effects on kernel-related traits in common wheat. FRONTIERS IN PLANT SCIENCE 2024; 15:1417588. [PMID: 39233911 PMCID: PMC11371672 DOI: 10.3389/fpls.2024.1417588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 07/31/2024] [Indexed: 09/06/2024]
Abstract
Introduction Wheat awns are crucial determinants of wheat yield due to their capacity to photosynthesize and exchange gas. Understanding the genetic basis of awn length (AL) is essential for improving wheat yield in molecular breeding programs. Methods In this study, quantitative trait loci (QTLs) of AL were analyzed using recombinant inbred line (RIL) mapping population referred to as YY-RILs, which was derived from a cross between Yannong 15 (YN15) and Yannong 1212 (YN1212). Results and discussion Seven putative additive QTLs and 30 pairwise epistatic QTLs for AL were identified. Among them, five novel additive QTLs (except qAl-2A and qAl-5A.2) and 30 novel pairwise epistatic QTLs were identified. qAl-5A.1 was repeatedly identified in all five environment datasets, which was considered to be one novel stable QTL for AL with minor additive effects. eqAl-2B.2-2 significantly interacted with eight loci and could be of great importance in regulating awn development. The genes associated with the major stable QTL of qAl-5A.2 and the minor stable QTL of qAl-2A were B1 and WFZP-A, respectively. Awn lengths exhibited significant genetic correlations with kernel weight and kernels per spike, which could affect grain protein content to a lesser extent. This study enhances our understanding of the genetic basis of awn development and identifies novel genes as well as markers for future genetic improvement of wheat yield.
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Affiliation(s)
- Nina Sun
- Institute of Grain and Oil Crops, Yantai Academy of Agricultural Sciences, Yantai, China
| | - Wei Liu
- Institute of Grain and Oil Crops, Yantai Academy of Agricultural Sciences, Yantai, China
| | - Deyang Shi
- Institute of Grain and Oil Crops, Yantai Academy of Agricultural Sciences, Yantai, China
| | - Chunhua Zhao
- Modern Seed Industry and Green Planting & Breeding Research Center, College of Agriculture, Ludong University, Yantai, China
| | - Jinlian Ou
- Modern Seed Industry and Green Planting & Breeding Research Center, College of Agriculture, Ludong University, Yantai, China
| | - Yuanze Song
- Modern Seed Industry and Green Planting & Breeding Research Center, College of Agriculture, Ludong University, Yantai, China
| | - Zilin Yang
- Modern Seed Industry and Green Planting & Breeding Research Center, College of Agriculture, Ludong University, Yantai, China
| | - Han Sun
- Modern Seed Industry and Green Planting & Breeding Research Center, College of Agriculture, Ludong University, Yantai, China
| | - Yongzhen Wu
- Modern Seed Industry and Green Planting & Breeding Research Center, College of Agriculture, Ludong University, Yantai, China
| | - Ran Qin
- Modern Seed Industry and Green Planting & Breeding Research Center, College of Agriculture, Ludong University, Yantai, China
| | - Tangyu Yuan
- Institute of Grain and Oil Crops, Yantai Academy of Agricultural Sciences, Yantai, China
| | - Yanlin Jiao
- Institute of Grain and Oil Crops, Yantai Academy of Agricultural Sciences, Yantai, China
| | - Linzhi Li
- Institute of Grain and Oil Crops, Yantai Academy of Agricultural Sciences, Yantai, China
| | - Fa Cui
- Modern Seed Industry and Green Planting & Breeding Research Center, College of Agriculture, Ludong University, Yantai, China
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Li Y, Hu J, Qu Y, Qiu D, Lin H, Du J, Hou L, Ma L, Wu Q, Zhou Y, Zhang H, Yang L, Liu H, Liu Z, Zhou Y, Li H. Alleles on locus chromosome 4B from different parents confer tiller number and the yield-associated traits in wheat. BMC PLANT BIOLOGY 2024; 24:454. [PMID: 38789943 PMCID: PMC11127307 DOI: 10.1186/s12870-024-05079-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 04/28/2024] [Indexed: 05/26/2024]
Abstract
Pleiotropy is frequently detected in agronomic traits of wheat (Triticum aestivum). A locus on chromosome 4B, QTn/Ptn/Sl/Sns/Al/Tgw/Gl/Gw.caas-4B, proved to show pleiotropic effects on tiller, spike, and grain traits using a recombinant inbred line (RIL) population of Qingxinmai × 041133. The allele from Qingxinmai increased tiller numbers, and the allele from line 041133 produced better performances of spike traits and grain traits. Another 52 QTL for the eight traits investigated were detected on 18 chromosomes, except for chromosomes 5D, 6D, and 7B. Several genes in the genomic interval of the locus on chromosome 4B were differentially expressed in crown and inflorescence samples between Qingxinmai and line 041133. The development of the KASP marker specific for the locus on chromosome 4B is useful for molecular marker-assisted selection in wheat breeding.
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Affiliation(s)
- Yahui Li
- College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jinghuang Hu
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yunfeng Qu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, 475001, China
| | - Dan Qiu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Huailong Lin
- Jiushenghe Seed Industry Co. Ltd, Changji, 831100, China
| | - Jiuyuan Du
- Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, 730070, China
| | - Lu Hou
- Key Laboratory of Agricultural Integrated Pest Management, Qinghai Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, 810016, China
| | - Lin Ma
- Datong Hui and Tu Autonomous County Agricultural Technology Extension Center, Xining, 810100, China
| | - Qiuhong Wu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yang Zhou
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hongjun Zhang
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Li Yang
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hongwei Liu
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhiyong Liu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yijun Zhou
- College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.
| | - Hongjie Li
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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3
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Horsnell R, Leigh FJ, Wright TIC, Burridge AJ, Ligeza A, Przewieslik-Allen AM, Howell P, Uauy C, Edwards KJ, Bentley AR. A wheat chromosome segment substitution line series supports characterization and use of progenitor genetic variation. THE PLANT GENOME 2024; 17:e20288. [PMID: 36718796 DOI: 10.1002/tpg2.20288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 10/20/2022] [Indexed: 06/18/2023]
Abstract
Genome-wide introgression and substitution lines have been developed in many plant species, enhancing mapping precision, gene discovery, and the identification and exploitation of variation from wild relatives. Created over multiple generations of crossing and/or backcrossing accompanied by marker-assisted selection, the resulting introgression lines are a fixed genetic resource. In this study we report the development of spring wheat (Triticum aestivum L.) chromosome segment substitution lines (CSSLs) generated to systematically capture genetic variation from tetraploid (T. turgidum ssp. dicoccoides) and diploid (Aegilops tauschii) progenitor species. Generated in a common genetic background over four generations of backcrossing, this is a base resource for the mapping and characterization of wheat progenitor variation. To facilitate further exploitation the final population was genetically characterized using a high-density genotyping array and a range of agronomic and grain traits assessed to demonstrate the potential use of the populations for trait localization in wheat.
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Affiliation(s)
- Richard Horsnell
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, UK
| | - Fiona J Leigh
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, UK
| | - Tally I C Wright
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, UK
| | | | - Aleksander Ligeza
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, UK
| | | | - Philip Howell
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, UK
| | - Cristobal Uauy
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK
| | | | - Alison R Bentley
- The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, UK
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, Mexico
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4
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Zhang Y, Shen C, Li G, Shi J, Yuan Y, Ye L, Song Q, Shi J, Zhang D. MADS1-regulated lemma and awn development benefits barley yield. Nat Commun 2024; 15:301. [PMID: 38182608 PMCID: PMC10770128 DOI: 10.1038/s41467-023-44457-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 12/14/2023] [Indexed: 01/07/2024] Open
Abstract
Floral organ shape and size in cereal crops can affect grain size and yield, so genes that regulate their development are promising breeding targets. The lemma, which protects inner floral organs, can physically constrain grain growth; while the awn, a needle-like extension of the lemma, creates photosynthate to developing grain. Although several genes and modules controlling grain size and awn/lemma growth in rice have been characterized, these processes, and the relationships between them, are not well understood for barley and wheat. Here, we demonstrate that the barley E-class gene HvMADS1 positively regulates awn length and lemma width, affecting grain size and weight. Cytological data indicates that HvMADS1 promotes awn and lemma growth by promoting cell proliferation, while multi-omics data reveals that HvMADS1 target genes are associated with cell cycle, phytohormone signaling, and developmental processes. We define two potential targets of HvMADS1 regulation, HvSHI and HvDL, whose knockout mutants mimic awn and/or lemma phenotypes of mads1 mutants. Additionally, we demonstrate that HvMADS1 interacts with APETALA2 (A-class) to synergistically activate downstream genes in awn/lemma development in barley. Notably, we find that MADS1 function remains conserved in wheat, promoting cell proliferation to increase awn length. These findings extend our understanding of MADS1 function in floral organ development and provide insights for Triticeae crop improvement strategies.
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Affiliation(s)
- Yueya Zhang
- Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chaoqun Shen
- Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
- School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Adelaide, SA, 5064, Australia
| | - Gang Li
- School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Adelaide, SA, 5064, Australia.
- Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, Nanjing, 210095, China.
| | - Jin Shi
- Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yajing Yuan
- Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Lingzhen Ye
- Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Qingfeng Song
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Jianxin Shi
- Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
- Yazhou Bay Institute of Deepsea Sci-Tech, Shanghai Jiao Tong University, Sanya, 572025, China.
| | - Dabing Zhang
- Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
- School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Adelaide, SA, 5064, Australia
- Yazhou Bay Institute of Deepsea Sci-Tech, Shanghai Jiao Tong University, Sanya, 572025, China
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5
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Niu J, Ma S, Zheng S, Zhang C, Lu Y, Si Y, Tian S, Shi X, Liu X, Naeem MK, Sun H, Hu Y, Wu H, Cui Y, Chen C, Long W, Zhang Y, Gu M, Cui M, Lu Q, Zhou W, Peng J, Akhunov E, He F, Zhao S, Ling HQ. Whole-genome sequencing of diverse wheat accessions uncovers genetic changes during modern breeding in China and the United States. THE PLANT CELL 2023; 35:4199-4216. [PMID: 37647532 PMCID: PMC10689146 DOI: 10.1093/plcell/koad229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/25/2023] [Accepted: 08/08/2023] [Indexed: 09/01/2023]
Abstract
Breeding has dramatically changed the plant architecture of wheat (Triticum aestivum), resulting in the development of high-yielding varieties adapted to modern farming systems. However, how wheat breeding shaped the genomic architecture of this crop remains poorly understood. Here, we performed a comprehensive comparative analysis of a whole-genome resequencing panel of 355 common wheat accessions (representing diverse landraces and modern cultivars from China and the United States) at the phenotypic and genomic levels. The genetic diversity of modern wheat cultivars was clearly reduced compared to landraces. Consistent with these genetic changes, most phenotypes of cultivars from China and the United States were significantly altered. Of the 21 agronomic traits investigated, 8 showed convergent changes between the 2 countries. Moreover, of the 207 loci associated with these 21 traits, more than half overlapped with genomic regions that showed evidence of selection. The distribution of selected loci between the Chinese and American cultivars suggests that breeding for increased productivity in these 2 regions was accomplished by pyramiding both shared and region-specific variants. This work provides a framework to understand the genetic architecture of the adaptation of wheat to diverse agricultural production environments, as well as guidelines for optimizing breeding strategies to design better wheat varieties.
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Affiliation(s)
- Jianqing Niu
- Hainan Yazhou Bay Seed Laboratory, Hainan, Sanya 572024, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Shengwei Ma
- Hainan Yazhou Bay Seed Laboratory, Hainan, Sanya 572024, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Shusong Zheng
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chi Zhang
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Yaru Lu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yaoqi Si
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Shuiquan Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoli Shi
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaolin Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Muhammad Kashif Naeem
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Hua Sun
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yafei Hu
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Huilan Wu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yan Cui
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chunlin Chen
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenbo Long
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yue Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Mengjun Gu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Man Cui
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Qiao Lu
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wenjuan Zhou
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Junhua Peng
- Huazhi Bio-tech Company Ltd., Changsha, Hunan 410125, China
| | - Eduard Akhunov
- Wheat Genetic Resources Center, Kansas State University, Manhattan, KS 66506, USA
| | - Fei He
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Shancen Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Hong-Qing Ling
- Hainan Yazhou Bay Seed Laboratory, Hainan, Sanya 572024, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, 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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6
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Adamski NM. Bristling with potential: evaluating the effects of awns on yield under heat stress. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:6409-6412. [PMID: 37988179 PMCID: PMC10662224 DOI: 10.1093/jxb/erad392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 11/23/2023]
Abstract
This article comments on:DeWitt N, Lyerly J, Guedira M, Holland JB, Murphy JP, Ward BP, Boyles RE, Mergoum M, Babar MA, Shakiba E, Sutton R, Ibrahim A, Tiwari V, Santantonio N, Van Sanford DA, Howell K, Smith JH, Harrison SA, Brown-Guedira G. 2023. Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States. Journal of Experimental Botany 74, 6749–6759.
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Affiliation(s)
- Nikolai M Adamski
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom
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7
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DeWitt N, Lyerly J, Guedira M, Holland JB, Murphy JP, Ward BP, Boyles RE, Mergoum M, Babar MA, Shakiba E, Sutton R, Ibrahim A, Tiwari V, Santantonio N, Van Sanford DA, Howell K, Smith JH, Harrison SA, Brown-Guedira G. Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:6749-6759. [PMID: 37599380 DOI: 10.1093/jxb/erad318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 08/09/2023] [Indexed: 08/22/2023]
Abstract
The presence or absence of awns-whether wheat heads are 'bearded' or 'smooth' - is the most visible phenotype distinguishing wheat cultivars. Previous studies suggest that awns may improve yields in heat or water-stressed environments, but the exact contribution of awns to yield differences remains unclear. Here we leverage historical phenotypic, genotypic, and climate data for wheat (Triticum aestivum) to estimate the yield effects of awns under different environmental conditions over a 12-year period in the southeastern USA. Lines were classified as awned or awnless based on sequence data, and observed heading dates were used to associate grain fill periods of each line in each environment with climatic data and grain yield. In most environments, awn suppression was associated with higher yields, but awns were associated with better performance in heat-stressed environments more common at southern locations. Wheat breeders in environments where awns are only beneficial in some years may consider selection for awned lines to reduce year-to-year yield variability, and with an eye towards future climates.
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Affiliation(s)
- Noah DeWitt
- School of Plant, Environmental and Soil Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Jeanette Lyerly
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - Mohammed Guedira
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - James B Holland
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
- Plant Science Research, USDA-ARS SEA, Raleigh, NC 27695, USA
| | - J Paul Murphy
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - Brian P Ward
- Forage Genetics International, West Salem, WI 54669, USA
| | - Richard E Boyles
- Pee Dee Research and Education Center, Clemson University, Florence, SC 29506, USA
| | - Mohamed Mergoum
- Crop and Soil Sciences Department/Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA 30602, USA
| | - Md Ali Babar
- Agronomy Department, University of Florida, Gainesville, FL 32611, USA
| | - Ehsan Shakiba
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA
| | - Russel Sutton
- AgriLife Research, Texas A&M University, College Station, TX 77843, USA
| | - Amir Ibrahim
- AgriLife Research, Texas A&M University, College Station, TX 77843, USA
| | - Vijay Tiwari
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD 20742, USA
| | - Nicholas Santantonio
- Department Of Crop and Soil Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA
| | - David A Van Sanford
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY 40506, USA
| | - Kimberly Howell
- Plant Science Research, USDA-ARS SEA, Raleigh, NC 27695, USA
| | - Jared H Smith
- Plant Science Research, USDA-ARS SEA, Raleigh, NC 27695, USA
| | - Stephen A Harrison
- School of Plant, Environmental and Soil Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Gina Brown-Guedira
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
- Plant Science Research, USDA-ARS SEA, Raleigh, NC 27695, USA
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8
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Yang X, Cai L, Wang M, Zhu W, Xu L, Wang Y, Zeng J, Fan X, Sha L, Wu D, Cheng Y, Zhang H, Jiang Y, Chen G, Zhou Y, Kang H. Genome-Wide Association Study of Asian and European Common Wheat Accessions for Yield-Related Traits and Stripe Rust Resistance. PLANT DISEASE 2023; 107:3085-3095. [PMID: 37079013 DOI: 10.1094/pdis-03-22-0702-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Identifying novel loci of yield-related traits and resistance to stripe rust (caused by Puccinia striiformis f. sp. tritici) in wheat will help in breeding wheat that can meet projected demands in diverse environmental and agricultural practices. We performed a genome-wide association study with 24,767 single nucleotide polymorphisms (SNPs) in 180 wheat accessions that originated in 16 Asian or European countries between latitudes 30°N and 45°N. We detected seven accessions with desirable yield-related traits and 42 accessions that showed stable, high degrees of stripe rust resistance in multienvironment field assessments. A marker-trait association analysis of yield-related traits detected 18 quantitative trait loci (QTLs) in at least two test environments and two QTLs related to stripe rust resistance in at least three test environments. Five of these QTLs were identified as potentially novel QTLs by comparing their physical locations with those of known QTLs in the Chinese Spring (CS) reference genome RefSeq v1.1 published by the International Wheat Genome Sequencing Consortium; two were for spike length, one was for grain number per spike, one was for spike number, and one was for stripe rust resistance at the adult plant stage. We also identified 14 candidate genes associated with the five novel QTLs. These QTLs and candidate genes will provide breeders with new germplasm and can be used to conduct marker-assisted selection in breeding wheat with improved yield and stripe rust resistance.
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Affiliation(s)
- Xiu Yang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Li Cai
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Miaomiao Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Wei Zhu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Lili Xu
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Yi Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Jian Zeng
- College of Resources, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Xing Fan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Lina Sha
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Dandan Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Yiran Cheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Haiqin Zhang
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Yunfeng Jiang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Guoyue Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Yonghong Zhou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
| | - Houyang Kang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
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9
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Liu Y, Chen J, Yin C, Wang Z, Wu H, Shen K, Zhang Z, Kang L, Xu S, Bi A, Zhao X, Xu D, He Z, Zhang X, Hao C, Wu J, Gong Y, Yu X, Sun Z, Ye B, Liu D, Zhang L, Shen L, Hao Y, Ma Y, Lu F, Guo Z. A high-resolution genotype-phenotype map identifies the TaSPL17 controlling grain number and size in wheat. Genome Biol 2023; 24:196. [PMID: 37641093 PMCID: PMC10463835 DOI: 10.1186/s13059-023-03044-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/21/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Large-scale genotype-phenotype association studies of crop germplasm are important for identifying alleles associated with favorable traits. The limited number of single-nucleotide polymorphisms (SNPs) in most wheat genome-wide association studies (GWASs) restricts their power to detect marker-trait associations. Additionally, only a few genes regulating grain number per spikelet have been reported due to sensitivity of this trait to variable environments. RESULTS We perform a large-scale GWAS using approximately 40 million filtered SNPs for 27 spike morphology traits. We detect 132,086 significant marker-trait associations and the associated SNP markers are located within 590 associated peaks. We detect additional and stronger peaks by dividing spike morphology into sub-traits relative to GWAS results of spike morphology traits. We propose that the genetic dissection of spike morphology is a powerful strategy to detect signals for grain yield traits in wheat. The GWAS results reveal that TaSPL17 positively controls grain size and number by regulating spikelet and floret meristem development, which in turn leads to enhanced grain yield per plant. The haplotypes at TaSPL17 indicate geographical differentiation, domestication effects, and breeding selection. CONCLUSION Our study provides valuable resources for genetic improvement of spike morphology and a fast-forward genetic solution for candidate gene detection and cloning in wheat.
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Affiliation(s)
- Yangyang Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jun Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Changbin Yin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Ziying Wang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - He Wu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kuocheng Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhiliang Zhang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Lipeng Kang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Song Xu
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Aoyue Bi
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Xuebo Zhao
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Daxing Xu
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, Beijing, 100081, China
| | - Xueyong Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Chenyang Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yan Gong
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Xuchang Yu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhiwen Sun
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Botao Ye
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Danni Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lili Zhang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Liping Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Youzhi Ma
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Fei Lu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China.
- CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100093, China.
| | - Zifeng Guo
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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10
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Ke W, Xing J, Chen Z, Zhao Y, Xu W, Tian L, Guo J, Xie X, Du D, Wang Z, Li Y, Xu J, Xin M, Guo W, Hu Z, Su Z, Liu J, Peng H, Yao Y, Sun Q, Ni Z. The TaTCP4/10-B1 cascade regulates awn elongation in wheat (Triticum aestivum L.). PLANT COMMUNICATIONS 2023:100590. [PMID: 36919240 PMCID: PMC10363512 DOI: 10.1016/j.xplc.2023.100590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 02/28/2023] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
Awns are important morphological markers for wheat and exert a strong physiological effect on wheat yield. The awn elongation suppressor B1 has recently been cloned through association and linkage analysis in wheat. However, the mechanism of awn inhibition centered around B1 remains to be clarified. Here, we identified an allelic variant in the coding region of B1 through analysis of re-sequencing data; this variant causes an amino acid substitution and premature termination, resulting in a long-awn phenotype. Transcriptome analysis indicated that B1 inhibited awn elongation by impeding cytokinin- and auxin-promoted cell division. Moreover, B1 directly repressed the expression of TaRAE2 and TaLks2, whose orthologs have been reported to promote awn development in rice or barley. More importantly, we found that TaTCP4 and TaTCP10 synergistically inhibited the expression of B1, and a G-to-A mutation in the B1 promoter attenuated its inhibition by TaTCP4/10. Taken together, our results reveal novel mechanisms of awn development and provide genetic resources for trait improvement in wheat.
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Affiliation(s)
- Wensheng Ke
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Jiewen Xing
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhaoyan Chen
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yidi Zhao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Weiya Xu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Lulu Tian
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Jinquan Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Xiaoming Xie
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Dejie Du
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zihao Wang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yufeng Li
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Jin Xu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Mingming Xin
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhaorong Hu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhenqi Su
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Jie Liu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yingyin Yao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China.
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11
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Sanchez-Bragado R, Molero G, Araus JL, Slafer GA. Awned versus awnless wheat spikes: does it matter? TRENDS IN PLANT SCIENCE 2023; 28:330-343. [PMID: 36494304 DOI: 10.1016/j.tplants.2022.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/24/2022] [Accepted: 10/31/2022] [Indexed: 06/17/2023]
Abstract
Awnless and awned wheat is found across the globe. Archeological and historical records show that the wheat spike was predominantly awned across the many millennia following domestication. Thus, ancient farmers did not select against awns at least until the last millennium. Here, we describe the evolution and domestication of wheat awns, quantifying their role in spike photosynthesis and yield under contrasting environments. Awns increase grain weight directly (increasing the size of all grains) or indirectly (increasing the failure of distal grains), but not as a consequence of additional spike photosynthesis. However, a trade-off is produced through decreasing grain number. Thus, favorable effects of awns on yield are not consistently found across environments.
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Affiliation(s)
- Rut Sanchez-Bragado
- Secció de Fisiologia Vegetal, Facultat de Biologia, Universitat de Barcelona - AGROTECNIO-CERCA Center, Lleida, Spain
| | - Gemma Molero
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico; Current affiliation: WS Momont Recherche, 59246 Mons-en-Pévèle, Hauts-de-France, France
| | - José L Araus
- Secció de Fisiologia Vegetal, Facultat de Biologia, Universitat de Barcelona - AGROTECNIO-CERCA Center, Lleida, Spain
| | - Gustavo A Slafer
- Department of Crop and Forest Sciences, University of Lleida - AGROTECNIO-CERCA Center, Av. R. Roure 191, 25198 Lleida, Spain; ICREA, Catalonian Institution for Research and Advanced Studies, Barcelona, Spain.
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12
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Wu J, Qiao L, Liu Y, Fu B, Nagarajan R, Rauf Y, Jia H, Yan L. Rapid identification and deployment of major genes for flowering time and awn traits in common wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:992811. [PMID: 36092425 PMCID: PMC9459131 DOI: 10.3389/fpls.2022.992811] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/08/2022] [Indexed: 06/01/2023]
Abstract
Molecular markers are developed to accelerate deployment of genes for desirable traits segregated in a bi-parental population of recombinant inbred lines (RILs) or doubled haplotype (DH) lines for mapping. However, it would be the most effective if such markers for multiple traits could be identified in an F2 population. In this study, single nucleotide polymorphisms (SNP) chips were used to identify major genes for heading date and awn in an F2 population without developing RILs or DH lines. The population was generated from a cross between a locally adapted spring wheat cultivar "Ningmaizi119" and a winter wheat cultivar "Tabasco" with a diverse genetic background. It was found that the dominant Vrn-D1 allele could make Ningmaizi119 flowered a few months earlier than Tabasco in the greenhouse and without vernalization. The observed effects of the allele were validated in F3 populations. It was also found that the dominant Ali-A1 allele for awnless trait in Tabasco or the recessive ali-A1 allele for awn trait in Ningmaizi119 was segregated in the F2 population. The allelic variation in the ALI-A1 gene relies not only on the DNA polymorphisms in the promoter but also on gene copy number, with one copy ali-A1 in Ningmaizi119 but two copies Ali-A1 in Tabasco based on RT-PCR results. According to wheat genome sequences, cultivar "Mattis" has two copies Ali-A1 and cultivar "Spelta" has four copies Ali-A in a chromosome that was uncharacterized (ChrUN), in addition to one copy on chromosome 5A. This study rapidly characterized the effects of the dominant Vrn-D1 allele and identified the haplotype of Ali-A1 in gene copy number in the F2 segregation population of common wheat will accelerate their deployment in cycling lines in breeding.
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Affiliation(s)
- Jizhong Wu
- Institute of Germplasm Resources and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
- Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, United States
| | - Linyi Qiao
- Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, United States
- College of Agronomy, Shanxi Key Laboratory of Crop Genetics and Molecular Improvement, Shanxi Agricultural University, Taiyuan, Shanxi, China
| | - Ying Liu
- Institute of Germplasm Resources and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - Bisheng Fu
- Institute of Germplasm Resources and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - Ragupathi Nagarajan
- Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, United States
| | - Yahya Rauf
- Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, United States
| | - Haiyan Jia
- Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, United States
- The Applied Plant Genomics Laboratory, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Liuling Yan
- Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, United States
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13
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Takanashi H, Kajiya-Kanegae H, Nishimura A, Yamada J, Ishimori M, Kobayashi M, Yano K, Iwata H, Tsutsumi N, Sakamoto W. DOMINANT AWN INHIBITOR Encodes the ALOG Protein Originating from Gene Duplication and Inhibits AWN Elongation by Suppressing Cell Proliferation and Elongation in Sorghum. PLANT & CELL PHYSIOLOGY 2022; 63:901-918. [PMID: 35640621 DOI: 10.1093/pcp/pcac057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 04/21/2022] [Accepted: 04/27/2022] [Indexed: 06/15/2023]
Abstract
The awn, a needle-like structure extending from the tip of the lemma in grass species, plays a role in environmental adaptation and fitness. In some crops, awns appear to have been eliminated during domestication. Although numerous genes involved in awn development have been identified, several dominant genes that eliminate awns are also known to exist. For example, in sorghum (Sorghum bicolor), the dominant awn-inhibiting gene has been known since 1921; however, its molecular features remain uncharacterized. In this study, we conducted quantitative trait locus analysis and a genome-wide association study of awn-related traits in sorghum and identified DOMINANT AWN INHIBITOR (DAI), which encodes the ALOG family protein on chromosome 3. DAI appeared to be present in most awnless sorghum cultivars, likely because of its effectiveness. Detailed analysis of the ALOG protein family in cereals revealed that DAI originated from a duplication of its twin paralog (DAIori) on chromosome 10. Observations of immature awns in near-isogenic lines revealed that DAI inhibits awn elongation by suppressing both cell proliferation and elongation. We also found that only DAI gained a novel function to inhibit awn elongation through an awn-specific expression pattern distinct from that of DAIori. Interestingly, heterologous expression of DAI with its own promoter in rice inhibited awn elongation in the awned cultivar Kasalath. We found that DAI originated from gene duplication, providing an interesting example of gain-of-function that occurs only in sorghum but shares its functionality with rice and sorghum.
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Affiliation(s)
- Hideki Takanashi
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Hiromi Kajiya-Kanegae
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
- Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, Kouwa Nishi-Shimbashi Bldg. 5f, 2-14-1 Nishi-Shimbashi, Minato-ku, Tokyo 105-0003, Japan
| | - Asuka Nishimura
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Junko Yamada
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Motoyuki Ishimori
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Masaaki Kobayashi
- Department of Life Sciences, Faculty of Agriculture, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa, 214-8571 Japan
| | - Kentaro Yano
- Department of Life Sciences, Faculty of Agriculture, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa, 214-8571 Japan
| | - Hiroyoshi Iwata
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Nobuhiro Tsutsumi
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
| | - Wataru Sakamoto
- Institute of Plant Science and Resources, Okayama University, 2-20-1 Chuo, Kurashiki, Okayama, 710-0046 Japan
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14
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InDels Identification and Association Analysis with Spike and Awn Length in Chinese Wheat Mini-Core Collection. Int J Mol Sci 2022; 23:ijms23105587. [PMID: 35628397 PMCID: PMC9146729 DOI: 10.3390/ijms23105587] [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: 04/15/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 11/17/2022] Open
Abstract
Diversity surveys of germplasm are important for gaining insight into the genomic basis for crop improvement; especially InDels, which are poorly understood in hexaploid common wheat. Here, we describe a map of 89,923 InDels from exome sequencing of 262 accessions of a Chinese wheat mini-core collection. Population structure analysis, principal component analysis and selective sweep analysis between landraces and cultivars were performed. Further genome-wide association study (GWAS) identified five QTL (Quantitative Trait Loci) that were associated with spike length, two of them, on chromosomes 2B and 6A, were detected in 10 phenotypic data sets. Assisted with RNA-seq data, we identified 14 and 21 genes, respectively that expressed in spike and rachis within the two QTL regions that can be further investigated for candidate genes discovery. Moreover, InDels were found to be associated with awn length on chromosomes 5A, 6B and 4A, which overlapped with previously reported genetic loci B1 (Tipped 1), B2 (Tipped 2) and Hd (Hooded). One of the genes TaAGL6 that was previously shown to affect floral organ development was found at the B2 locus to affect awn length development. Our study shows that trait-associated InDels may contribute to wheat improvement and may be valuable molecular markers for future wheat breeding.
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15
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DeWitt N, Guedira M, Murphy JP, Marshall D, Mergoum M, Maltecca C, Brown-Guedira G. A network modeling approach provides insights into the environment-specific yield architecture of wheat. Genetics 2022; 221:6583185. [PMID: 35536185 PMCID: PMC9252273 DOI: 10.1093/genetics/iyac076] [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: 04/08/2022] [Accepted: 05/01/2022] [Indexed: 11/12/2022] Open
Abstract
Wheat (Triticum aestivum) yield is impacted by a diversity of developmental processes which interact with the environment during plant growth. This complex genetic architecture complicates identifying quantitative trait loci (QTL) that can be used to improve yield. Trait data collected on individual processes or components of yield have simpler genetic bases and can be used to model how QTL generate yield variation. The objectives of this experiment were to identify QTL affecting spike yield, evaluate how their effects on spike yield proceed from effects on component phenotypes, and to understand how the genetic basis of spike yield variation changes between environments. A 358 F5:6 RIL population developed from the cross of LA-95135 and SS-MPV-57 was evaluated in two replications at five locations over the 2018 and 2019 seasons. The parents were two soft red winter wheat cultivars differing in flowering, plant height, and yield component characters. Data on yield components and plant growth were used to assemble a structural equation model (SEM) to characterize the relationships between QTL, yield components and overall spike yield. The effects of major QTL on spike yield varied by environment, and their effects on total spike yield were proportionally smaller than their effects on component traits. This typically resulted from contrasting effects on component traits, where an increase in traits associated with kernel number was generally associated with a decrease in traits related to kernel size. In all, the complete set of identified QTL was sufficient to explain most of the spike yield variation observed within each environment. Still, the relative importance of individual QTL varied dramatically. Path analysis based on coefficients estimated through SEM demonstrated that these variations in effects resulted from both different effects of QTL on phenotypes and environment-by-environment differences in the effects of phenotypes on one another, providing a conceptual model for yield genotype-by-environment interactions in wheat.
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Affiliation(s)
- Noah DeWitt
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA 27695.,USDA-ARS SEA,Plant Science Research, Raleigh, NC, USA 27695
| | - Mohammed Guedira
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA 27695
| | - J Paul Murphy
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA 27695
| | - David Marshall
- USDA-ARS SEA,Plant Science Research, Raleigh, NC, USA 27695
| | - Mohamed Mergoum
- Department of Crop and Soil Sciences, University of Georgia, Athens, 30602, GA, USA
| | - Christian Maltecca
- Department of Animal Science, North Carolina State University, Raleigh, NC, USA 27695
| | - Gina Brown-Guedira
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA 27695.,USDA-ARS SEA,Plant Science Research, Raleigh, NC, USA 27695
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16
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Liu T, Shi X, Wang J, Song J, Xiao E, Wang Y, Gao X, Nan W, Wang Z. Mapping and Characterization of QTLs for Awn Morphology Using Crosses between "Double-Awn" Wheat 4045 and Awnless Wheat Zhiluowumai. PLANTS (BASEL, SWITZERLAND) 2021; 10:2588. [PMID: 34961059 PMCID: PMC8703630 DOI: 10.3390/plants10122588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 11/20/2021] [Accepted: 11/21/2021] [Indexed: 12/03/2022]
Abstract
Awns play important roles in seed dispersal, protection against predators, and photosynthesis. The characterization of genes related to the formation of awns helps understand the regulation mechanisms of awn development. In the present study, the "double-awn" wheat 4045, which features super-long lemma awns and long glume awns, and an awnless wheat line, Zhiluowumai, were used to investigate QTLs or genes involved in awn development. QTL analysis identified three loci-Qawn-1D, Qawn-5A, and Qawn-7B-using a population of 101 4045 × ZLWM F2 plants. Fine mapping with a total of 9018 progenies narrowed the mapping interval of Qawn-5A to an 809-kb region, which was consistent with the B1 locus, containing five genes on chromosome 5AL. Gene structure and expression analysis indicated that TraesCS5A02G542800 was the causal gene, which was subsequently verified by overexpression of TraesCS5A02G542800 in a "double-awn" wheat, Yangmai20. The retained "double-awn" phenotype of transgenic plants suggested that B1 represses the elongation but does not influence the emergence of the awns. Moreover, 4045 harbors a new allele of B1 with a 261-bp insertion in the promoter region and a lack of the EAR2 motif in the encoding region, which influences several important agronomic traits. In this study, we identify two novel QTLs and a novel allele of B1, providing new resources for exploration of awn development.
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Affiliation(s)
- Tianxiang Liu
- Department of Agronomy, Northwest Agriculture and Forestry University, Xianyang 712100, China; (T.L.); (X.S.); (J.W.); (E.X.); (Y.W.); (X.G.)
| | - Xue Shi
- Department of Agronomy, Northwest Agriculture and Forestry University, Xianyang 712100, China; (T.L.); (X.S.); (J.W.); (E.X.); (Y.W.); (X.G.)
| | - Jun Wang
- Department of Agronomy, Northwest Agriculture and Forestry University, Xianyang 712100, China; (T.L.); (X.S.); (J.W.); (E.X.); (Y.W.); (X.G.)
| | - Jiawang Song
- Key Laboratory of Plant Development and Stress Biology, Ministry of Education, School of Life Science, Shandong University, Qingdao 266237, China;
| | - Enshi Xiao
- Department of Agronomy, Northwest Agriculture and Forestry University, Xianyang 712100, China; (T.L.); (X.S.); (J.W.); (E.X.); (Y.W.); (X.G.)
| | - Yong Wang
- Department of Agronomy, Northwest Agriculture and Forestry University, Xianyang 712100, China; (T.L.); (X.S.); (J.W.); (E.X.); (Y.W.); (X.G.)
| | - Xin Gao
- Department of Agronomy, Northwest Agriculture and Forestry University, Xianyang 712100, China; (T.L.); (X.S.); (J.W.); (E.X.); (Y.W.); (X.G.)
| | - Wenzhi Nan
- College of Life Sciences, Yulin University, Yulin 719000, China
| | - Zhonghua Wang
- Department of Agronomy, Northwest Agriculture and Forestry University, Xianyang 712100, China; (T.L.); (X.S.); (J.W.); (E.X.); (Y.W.); (X.G.)
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Targeting the B1 Gene and Analysis of Its Polymorphism Associated with Awned/Awnless Trait in Russian Germplasm Collections of Common Wheat. PLANTS 2021; 10:plants10112285. [PMID: 34834646 PMCID: PMC8621087 DOI: 10.3390/plants10112285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/06/2021] [Accepted: 10/21/2021] [Indexed: 11/25/2022]
Abstract
The presence of awns on the ear is associated with a number of important plant properties, such as drought resistance, quality of the grain mass during processing, etc. The main manifestations of this trait are controlled by the B1 gene, which has recently been identified and encodes the C2H2 zinc finger transcription factor. Based on the previously identified SNPs in the promoter region of this gene, we constructed markers for dominant and recessive alleles which determine awnless and awned phenotypes, respectively. The markers were successful for use in targeting the respective alleles of the B1 gene in 176 varieties of common wheat, accessions of T. spelta L., as well as on F2/F3 hybrids from crosses between awned and awnless forms of T. aestivum. We first identified a new allele, b1mite, which has both an insert of a miniature Stowaway-like transposon, 261 bp in length, and 33 novel SNPs in the promoter region. Despite these changes, this allele had no effect on the awned phenotype. The possible mechanisms of the influence of the analyzed gene on phenotype are discussed.
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18
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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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19
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Huang B, Wu W, Hong Z. Genetic Loci Underlying Awn Morphology in Barley. Genes (Basel) 2021; 12:genes12101613. [PMID: 34681007 PMCID: PMC8535194 DOI: 10.3390/genes12101613] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/03/2021] [Accepted: 10/09/2021] [Indexed: 11/28/2022] Open
Abstract
Barley awns are highly active in photosynthesis and account for 30–50% of grain weight in barley. They are diverse in length, ranging from long to awnless, and in shape from straight to hooded or crooked. Their diversity and importance have intrigued geneticists for several decades. A large collection of awnness mutants are available—over a dozen of them have been mapped on chromosomes and a few recently cloned. Different awnness genes interact with each other to produce diverse awn phenotypes. With the availability of the sequenced barley genome and application of new mapping and gene cloning strategies, it will now be possible to identify and clone more awnness genes. A better understanding of the genetic basis of awn diversity will greatly facilitate development of new barley cultivars with improved yield, adaptability and sustainability.
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Affiliation(s)
- Biguang Huang
- Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
- Fujian Collegiate Key Laboratory of Applied Plant Genetics, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Department of Plant Sciences, University of Idaho, Moscow, ID 83844, USA
| | - Weiren Wu
- Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
- Fujian Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Correspondence: (W.W.); (Z.H.)
| | - Zonglie Hong
- Department of Plant Sciences, University of Idaho, Moscow, ID 83844, USA
- Correspondence: (W.W.); (Z.H.)
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20
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Mizuno N, Ishikawa G, Kojima H, Tougou M, Kiribuchi-Otobe C, Fujita M, Nakamura K. Genetic mechanisms determining grain number distribution along the spike and their effect on yield components in wheat. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2021; 41:62. [PMID: 37309314 PMCID: PMC10236116 DOI: 10.1007/s11032-021-01255-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 09/28/2021] [Indexed: 06/14/2023]
Abstract
The number of wheat grains is one of the major determinants of yield. Many quantitative trait loci (QTLs) and some causal genes such as GNI-A1 and WAPO-A1 that are associated with grain number per spike (GNS) have been identified, but the underlying mechanisms remain largely unknown. We analyzed QTLs for grain number and other related traits using 188 doubled haploid lines derived from the Japanese high-yield variety, Kitahonami, as a parent to elucidate the genetic mechanism determining grain number. The major QTLs for grain number at the apical, central, and basal parts of the spike were identified in different chromosomal regions. We considered GNI-A1 and WAPO-A1 as candidate genes controlling grain number at the central and basal parts of the spike, respectively. Kitahonami had the favorable 105Y allele of GNI-A1 and WAPO-A1b allele and unfavorable alleles of QTLs for grain number at the apical part of spikes. Pyramiding the favorable alleles of these QTLs significantly increased GNS without significantly reducing thousand-grain weight (TGW). In contrast, the accumulation of favorable alleles of QTLs for TGW significantly decreased GNS, whereas days to heading positively correlated with GNS. Late heading increased the spikelet number per spike, resulting in a higher GNS. Pyramiding of the QTLs for TGW and days to heading also altered the GNS. In conclusion, GNS is a complex trait controlled by many QTLs, and it is essential for breeding to design. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-021-01255-8.
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Affiliation(s)
- Nobuyuki Mizuno
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518 Japan
| | - Goro Ishikawa
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518 Japan
| | - Hisayo Kojima
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518 Japan
- Present Address: Headquarters, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8517 Japan
| | - Makoto Tougou
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518 Japan
| | - Chikako Kiribuchi-Otobe
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518 Japan
| | - Masaya Fujita
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8518 Japan
- Present Address: Headquarters, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8517 Japan
| | - Kazuhiro Nakamura
- Present Address: Headquarters, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki 305-8517 Japan
- Present Address: Kyusyu Okinawa Agricultural Research Center, National Agriculture and Food Research Organization, Chikugo, Fukuoka 833-0041 Japan
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21
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Alomari DZ, Alqudah AM, Pillen K, von Wirén N, Röder MS. Toward identification of a putative candidate gene for nutrient mineral accumulation in wheat grains for human nutrition purposes. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:6305-6318. [PMID: 34145452 PMCID: PMC8483787 DOI: 10.1093/jxb/erab297] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 06/16/2021] [Indexed: 05/21/2023]
Abstract
A multilocus genome-wide association study of a panel of 369 diverse wheat (Triticum aestivum) genotypes was carried out in order to examine the genetic basis of variations in nutrient mineral concentrations in the grains. The panel was grown under field conditions for three consecutive years and the concentrations of Ca, K, Mg, Mn, P, and S were determined. Wide ranges of natural variation were detected among the genotypes. Strong positive correlations were found among the minerals except for K, which showed negative correlation trends with the other minerals. Genetic association analysis detected 86 significant marker-trait associations (MTAs) underlying the natural variations in mineral concentrations in grains. The major MTA was detected on the long arm of chromosome 5A and showed a pleiotropic effect on Ca, K, Mg, Mn, and S. Further significant MTAs were distributed among the whole genome except for chromosomes 3D and 6D. We identified putative candidate genes that are potentially involved in metal uptake, transport, and assimilation, including TraesCS5A02G542600 on chromosome 5A, which was annotated as a Major Facilitator Superfamily transporter and acted on all the minerals except K. TraesCS5A02G542600 was highly expressed in seed coat, and to a lesser extent in the peduncle, awns, and lemma. Our results provide important insights into the genetic basis of enhancement of nutrient mineral concentrations that can help to inform future breeding studies in order to improve human nutrition.
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Affiliation(s)
- Dalia Z Alomari
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, D-06466 Stadt Seeland OT Gatersleben, Germany
- Correspondence: or
| | - Ahmad M Alqudah
- Institute of Agricultural and Nutritional Sciences, Martin-Luther-University Halle-Wittenberg, Betty-Heimann-Str. 3, 06120 Halle/Saale, Germany
| | - Klaus Pillen
- Institute of Agricultural and Nutritional Sciences, Martin-Luther-University Halle-Wittenberg, Betty-Heimann-Str. 3, 06120 Halle/Saale, Germany
| | - Nicolaus von Wirén
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, D-06466 Stadt Seeland OT Gatersleben, Germany
| | - Marion S Röder
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, D-06466 Stadt Seeland OT Gatersleben, Germany
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22
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Gaire R, Brown-Guedira G, Dong Y, Ohm H, Mohammadi M. Genome-Wide Association Studies for Fusarium Head Blight Resistance and Its Trade-Off With Grain Yield in Soft Red Winter Wheat. PLANT DISEASE 2021; 105:2435-2444. [PMID: 33560886 DOI: 10.1094/pdis-06-20-1361-re] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Identification of quantitative trait loci for Fusarium head blight (FHB) resistance from different sources and pyramiding them into cultivars could provide effective protection against FHB. The objective of this study was to characterize a soft red winter wheat (SRWW) breeding population that has been subjected to intense germplasm introduction and alien introgression for FHB resistance in the past. The population was evaluated under misted FHB nurseries inoculated with Fusarium graminearum-infested corn spawn for two years. Phenotypic data included disease incidence (INC), disease severity (SEV), Fusarium damaged kernels (FDK), FHB index (FHBdx), and deoxynivalenol concentration (DON). Genome-wide association studies using 13,784 SNP markers identified 25 genomic regions at -logP ≥ 4.0 that were associated with five FHB-related traits. Of these 25, the marker trait associations that explained more than 5% phenotypic variation were localized on chromosomes 1A, 2B, 3B, 5A, 7A, 7B, and 7D, and from diverse sources including adapted SRWW lines such as Truman and Bess, and unadapted common wheat lines such as Ning7840 and Fundulea 201R. Furthermore, individuals with favorable alleles at the four loci Fhb1, Qfhb.nc-2B.1 (Q2B.1), Q7D.1, and Q7D.2 showed better FDK and DON scores (but not INC, SEV, and FHBdx) compared with other allelic combinations. Our data also showed while pyramiding multiple loci provides protection against FHB disease, it has a significant trade-off with grain yield.
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Affiliation(s)
- Rupesh Gaire
- Agronomy Department, Purdue University, West Lafayette, IN 47907
| | - Gina Brown-Guedira
- USDA-ARS Plant Science Research, Department of Crop Science, North Carolina State University, Raleigh, NC 27695
| | - Yanhong Dong
- Department of Plant Pathology, University of Minnesota, St. Paul, MN 55108
| | - Herbert Ohm
- Agronomy Department, Purdue University, West Lafayette, IN 47907
| | - Mohsen Mohammadi
- Agronomy Department, Purdue University, West Lafayette, IN 47907
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23
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Du D, Zhang D, Yuan J, Feng M, Li Z, Wang Z, Zhang Z, Li X, Ke W, Li R, Chen Z, Chai L, Hu Z, Guo W, Xing J, Su Z, Peng H, Xin M, Yao Y, Sun Q, Liu J, Ni Z. FRIZZY PANICLE defines a regulatory hub for simultaneously controlling spikelet formation and awn elongation in bread wheat. THE NEW PHYTOLOGIST 2021; 231:814-833. [PMID: 33837555 DOI: 10.1111/nph.17388] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 04/01/2021] [Indexed: 05/25/2023]
Abstract
Grain yield in bread wheat (Triticum aestivum L.) is largely determined by inflorescence architecture. Zang734 is an endemic Tibetan wheat variety that exhibits a rare triple spikelet (TRS) phenotype with significantly increased spikelet/floret number per spike. However, the molecular basis underlying this specific spike morphology is completely unknown. Through map-based cloning, the causal genes for TRS trait in Zang734 were isolated. Furthermore, using CRISPR/Cas9-based gene mutation, transcriptome sequencing and protein-protein interaction, the downstream signalling networks related to spikelet formation and awn elongation were defined. Results showed that the null mutation in WFZP-A together with deletion of WFZP-D led to the TRS trait in Zang734. More interestingly, WFZP plays a dual role in simultaneously repressing spikelet formation gene TaBA1 and activating awn development genes, basically through the recruitments of chromatin remodelling elements and the Mediator complex. Our findings provide insights into the molecular bases by which WFZP suppresses spikelet formation but promotes awn elongation and, more importantly, define WFZP-D as a favourable gene for high-yield crop breeding.
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Affiliation(s)
- Dejie Du
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Dongxue Zhang
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jun Yuan
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Man Feng
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhaoju Li
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zihao Wang
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhaoheng Zhang
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Xiongtao Li
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Wensheng Ke
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Renhan Li
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhaoyan Chen
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Lingling Chai
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhaorong Hu
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Weilong Guo
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jiewen Xing
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhenqi Su
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Huiru Peng
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Mingming Xin
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Yingyin Yao
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Qixin Sun
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jie Liu
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhongfu Ni
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
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24
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Chen S, Hegarty J, Shen T, Hua L, Li H, Luo J, Li H, Bai S, Zhang C, Dubcovsky J. Stripe rust resistance gene Yr34 (synonym Yr48) is located within a distal translocation of Triticum monococcum chromosome 5A mL into common wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2197-2211. [PMID: 33791822 PMCID: PMC8263425 DOI: 10.1007/s00122-021-03816-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 03/10/2021] [Indexed: 05/24/2023]
Abstract
Key message The stripe rust resistance gene Yr34 was transferred to polyploid wheat chromosome 5AL from T. monococcum and has been used for over two centuries.Wheat stripe (or yellow) rust, caused by Puccinia striiformis f. sp. tritici (Pst), is currently among the most damaging fungal diseases of wheat worldwide. In this study, we report that the stripe rust resistance gene Yr34 (synonym Yr48) is located within a distal segment of the cultivated Triticum monococcum subsp. monococcum chromosome 5AmL translocated to chromosome 5AL in polyploid wheat. The diploid wheat species Triticum monococcum (genome AmAm) is closely related to T. urartu (donor of the A genome to polyploid wheat) and has good levels of resistance against the stripe rust pathogen. When present in hexaploid wheat, the T. monococcum Yr34 resistance gene confers a moderate level of resistance against virulent Pst races present in California and the virulent Chinese race CYR34. In a survey of 1,442 common wheat genotypes, we identified 5AmL translocations of fourteen different lengths in 17.5% of the accessions, with higher frequencies in Europe than in other continents. The old European wheat variety "Mediterranean" was identified as a putative source of this translocation, suggesting that Yr34 has been used for over 200 years. Finally, we designed diagnostic CAPS and sequenced-based markers that will be useful to accelerate the deployment of Yr34 in wheat breeding programs to improve resistance to this devastating pathogen.
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Affiliation(s)
- Shisheng Chen
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261000, Shandong, China.
| | - Joshua Hegarty
- Department of Plant Sciences, University of California, Davis, CA95616, USA
| | - Tao Shen
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261000, Shandong, China
| | - Lei Hua
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261000, Shandong, China
| | - Hongna Li
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261000, Shandong, China
| | - Jing Luo
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261000, Shandong, China
| | - Hongyu Li
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261000, Shandong, China
| | - Shengsheng Bai
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261000, Shandong, China
| | - Chaozhong Zhang
- Department of Plant Sciences, University of California, Davis, CA95616, USA
| | - Jorge Dubcovsky
- Department of Plant Sciences, University of California, Davis, CA95616, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA.
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25
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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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26
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Wang D, Cao D, Zong Y, Li Y, Wang J, Li Z, Liu B. Bulked QTL-Seq identified a major QTL for the awnless trait in spring wheat cultivars in Qinghai, China. BIOTECHNOL BIOTEC EQ 2021. [DOI: 10.1080/13102818.2020.1857661] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Affiliation(s)
- Dongxia Wang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, PR China
- Department of Agriculture and Forestry, College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai, PR China
| | - Dong Cao
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, PR China
- Qinghai Province Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, PR China
- Laboratory of Wheat Quality Improvement, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Xining, Qinghai, PR China
| | - Yuan Zong
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, PR China
- Qinghai Province Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, PR China
- Laboratory of Wheat Quality Improvement, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Xining, Qinghai, PR China
| | - Yun Li
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, PR China
- Qinghai Province Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, PR China
- Laboratory of Wheat Quality Improvement, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Xining, Qinghai, PR China
| | - Jinmin Wang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, PR China
- Department of Agriculture and Forestry, College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai, PR China
| | - Zongren Li
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, PR China
- Department of Agriculture and Forestry, College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai, PR China
| | - Baolong Liu
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, PR China
- Qinghai Province Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, PR China
- Laboratory of Wheat Quality Improvement, the Innovative Academy of Seed Design, Chinese Academy of Sciences, Xining, Qinghai, PR China
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27
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Borrill P. Philippa Borrill. THE NEW PHYTOLOGIST 2020; 228:1717-1718. [PMID: 33459376 DOI: 10.1111/nph.17027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 10/22/2020] [Indexed: 06/12/2023]
Affiliation(s)
- Philippa Borrill
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
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28
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Ntakirutimana F, Xie W. Unveiling the Actual Functions of Awns in Grasses: From Yield Potential to Quality Traits. Int J Mol Sci 2020; 21:ijms21207593. [PMID: 33066600 PMCID: PMC7589186 DOI: 10.3390/ijms21207593] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/08/2020] [Accepted: 10/12/2020] [Indexed: 12/25/2022] Open
Abstract
Awns, which are either bristles or hair-like outgrowths of lemmas in the florets, are one of the typical morphological characteristics of grass species. These stiff structures contribute to grain dispersal and burial and fend off animal predators. However, their phenotypic and genetic associations with traits deciding potential yield and quality are not fully understood. Awns appear to improve photosynthesis, provide assimilates for grain filling, thus contributing to the final grain yield, especially under temperature- and water-stress conditions. Long awns, however, represent a competing sink with developing kernels for photosynthates, which can reduce grain yield under favorable conditions. In addition, long awns can hamper postharvest handling, storage, and processing activities. Overall, little is known about the elusive role of awns, thus, this review summarizes what is known about the effect of awns on grain yield and biomass yield, grain nutritional value, and forage-quality attributes. The influence of awns on the agronomic performance of grasses seems to be associated with environmental and genetic factors and varies in different stages of plant development. The contribution of awns to yield traits and quality features previously documented in major cereal crops, such as rice, barley, and wheat, emphasizes that awns can be targeted for yield and quality improvement and may advance research aimed at identifying the phenotypic effects of morphological traits in grasses.
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29
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Pang Y, Liu C, Wang D, St Amand P, Bernardo A, Li W, He F, Li L, Wang L, Yuan X, Dong L, Su Y, Zhang H, Zhao M, Liang Y, Jia H, Shen X, Lu Y, Jiang H, Wu Y, Li A, Wang H, Kong L, Bai G, Liu S. High-Resolution Genome-wide Association Study Identifies Genomic Regions and Candidate Genes for Important Agronomic Traits in Wheat. MOLECULAR PLANT 2020; 13:1311-1327. [PMID: 32702458 DOI: 10.1016/j.molp.2020.07.008] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/08/2020] [Accepted: 07/17/2020] [Indexed: 05/18/2023]
Abstract
Wheat (Triticum aestivum) is a major staple food crop worldwide. Genetic dissection of important agronomic traits is essential for continuous improvement of wheat yield to meet the demand of the world's growing population. We conducted a large-scale genome-wide association study (GWAS) using a panel of 768 wheat cultivars that were genotyped with 327 609 single-nucleotide polymorphisms generated by genotyping-by-sequencing and detected 395 quantitative trait loci (QTLs) for 12 traits under 7 environments. Among them, 273 QTLs were delimited to ≤1.0-Mb intervals and 7 of them are either known genes (Rht-D, Vrn-B1, and Vrn-D1) that have been cloned or known QTLs (TaGA2ox8, APO1, TaSus1-7B, and Rht12) that were previously mapped. Eight putative candidate genes were identified for three QTLs that enhance spike seed setting and grain size using gene expression data and were validated in three bi-parental populations. Protein sequence analysis identified 33 putative wheat orthologs that have high identity with rice genes in QTLs affecting similar traits. Large r2 values for additive effects observed among the QTLs for most traits indicated that the phenotypes of these identified QTLs were highly predictable. Results from this study demonstrated that significantly increasing GWAS population size and marker density greatly improves detection and identification of candidate genes underlying a QTL, solidifying the foundation for large-scale QTL fine mapping, candidate gene validation, and developing functional markers for genomics-based breeding in wheat.
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Affiliation(s)
- Yunlong Pang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Chunxia Liu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Danfeng Wang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Paul St Amand
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS 66506, USA
| | - Amy Bernardo
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS 66506, USA; Department of Plant Pathology, Kansas State University, Manhattan, KS 66506, USA
| | - Wenhui Li
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Fang He
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China; College of Agriculture, Guizhou University, Guiyang 550025, China
| | - Linzhi Li
- Yantai Academy of Agricultural Sciences, Yantai 265500, China
| | - Liming Wang
- College of Agriculture, Henan University of Science and Technology, Luoyang 471000, China
| | - Xiufang Yuan
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Lei Dong
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Yu Su
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Huirui Zhang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Meng Zhao
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Yunlong Liang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Hongze Jia
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Xitong Shen
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Yue Lu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Hongming Jiang
- Yantai Academy of Agricultural Sciences, Yantai 265500, China
| | - Yuye Wu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Anfei Li
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Honggang Wang
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Lingrang Kong
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China
| | - Guihua Bai
- USDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS 66506, USA.
| | - Shubing Liu
- State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
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30
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Niu J, Zheng S, Shi X, Si Y, Tian S, He Y, Ling HQ. Fine mapping and characterization of the awn inhibitor B1 locus in common wheat (Triticum aestivum L.). ACTA ACUST UNITED AC 2020. [DOI: 10.1016/j.cj.2019.12.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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31
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Huang B, Huang D, Hong Z, Owie SO, Wu W. Genetic analysis reveals four interacting loci underlying awn trait diversity in barley (Hordeum vulgare). Sci Rep 2020; 10:12535. [PMID: 32719425 PMCID: PMC7385259 DOI: 10.1038/s41598-020-69335-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 07/10/2020] [Indexed: 11/09/2022] Open
Abstract
Barley (Hordeum vulgare) awns contribute to grain yield, but the genetic basis of awn development remains largely unclear. Five barley lines differing in awn traits and row types were used to create four F2 populations. Genetic analyses revealed that four pairs of genes were involved in awn development: A/a (awnless/awned), B/b (awnless/awned), H/h (hooded/straight), and L/l (long/short). Of these four loci, A, H and L functioned on both central rows (CR) and lateral rows (LR) of the barley spikes, while B exhibited effect only on LR. A and B had duplicate effects on LR, and both showed dominant epistasis to loci H and L, whereas H was epistatic to L. Meanwhile, A and B were found to be genetically linked, with a row-type locus V located between them. The genetic distances of A-V and B-V were estimated to be 9.6 and 7.7 cM, respectively. Literature search suggested that A, H and V may correspond to the reported Lks1, Kap1 and Vrs1, respectively, whereas B is a novel gene specifically controlling awn development on LR, designated as Lsa1 for lateral spikelet awnless 1. The only barley homolog of wheat awn inhibitor gene B1, HORVU2Hr1G077570, is a potential candidate of Lsa1.
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Affiliation(s)
- Biguang Huang
- Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China. .,Fujian Collegiate Key Laboratory of Applied Plant Genetics, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China. .,Department of Plant Sciences, University of Idaho, Moscow, ID, 83844, USA.
| | - Daiqing Huang
- Aquatic and Crop Resource Development, National Research Council of Canada, Saskatoon, SK, S7N 0W9, Canada
| | - Zonglie Hong
- Department of Plant Sciences, University of Idaho, Moscow, ID, 83844, USA
| | - Swithin Omosuwa Owie
- Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.,Fujian Collegiate Key Laboratory of Applied Plant Genetics, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China
| | - Weiren Wu
- Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China. .,Fujian Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
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32
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Genetic Characterization of a Wheat Association Mapping Panel Relevant to Brazilian Breeding Using a High-Density Single Nucleotide Polymorphism Array. G3-GENES GENOMES GENETICS 2020; 10:2229-2239. [PMID: 32350030 PMCID: PMC7341152 DOI: 10.1534/g3.120.401234] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Bread wheat (Triticum aestivum L.) is one of the world’s most important crops. Maintaining wheat yield gains across all of its major production areas is a key target toward underpinning global food security. Brazil is a major wheat producer in South America, generating grain yields of around 6.8 million tons per year. Here, we establish and genotype a wheat association mapping resource relevant to contemporary Brazilian wheat breeding programs. The panel of 558 wheat accessions was genotyped using an Illumina iSelect 90,000 single nucleotide polymorphism array. Following quality control, the final data matrix consisted of 470 accessions and 22,475 polymorphic genetic markers (minor allele frequency ≥5%, missing data <5%). Principal component analysis identified distinct differences between materials bred predominantly for the northern Cerrado region, compared to those bred for southern Brazilian agricultural areas. We augmented the genotypic data with 26 functional Kompetitive Allele-Specific PCR (KASP) markers to identify the allelic combinations at genes with previously known effects on agronomically important traits in the panel. This highlighted breeding targets for immediate consideration – notably, increased Fusarium head blight resistance via the Fhb1 locus. To demonstrate the panel’s likely future utility, genome-wide association scans for several phenotypic traits were undertaken. Significant (Bonferroni corrected P < 0.05) marker-trait associations were detected for Fusarium kernel damage (a proxy for type 2 Fusarium resistance), identifying previously known quantitative trait loci in the panel. This association mapping panel represents an important resource for Brazilian wheat breeding, allowing future genetic studies to analyze multiple agronomic traits within a single genetically diverse population.
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33
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Würschum T, Jähne F, Phillips AL, Langer SM, Longin CFH, Tucker MR, Leiser WL. Misexpression of a transcriptional repressor candidate provides a molecular mechanism for the suppression of awns by Tipped 1 in wheat. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:3428-3436. [PMID: 32103263 PMCID: PMC7307850 DOI: 10.1093/jxb/eraa106] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 02/24/2020] [Indexed: 05/30/2023]
Abstract
Awns are bristle-like structures formed at the tip of the lemma on the florets of some cereal grasses. Wild-type wheat is awned, but awnletted and awnless variants have been selected and nowadays all forms are cultivated. In this study, we dissected the genetic control underlying variation of this characteristic feature by association mapping in a large panel of 1110 winter wheat cultivars of worldwide origin. We identified the B1 (Tipped 1) locus on chromosome 5A as the major determinant of awnlessness globally. Using a combination of fine-mapping and expression analysis, we identified a putative C2H2 zinc finger protein with an EAR domain, characteristic of transcriptional repressors, as a likely candidate for Tipped 1. This gene was found to be up-regulated in awnless B1 compared with awned b1 plants, indicating that misexpression of this transcriptional regulator may contribute to the reduction of awn length in B1 plants. Taken together, our study provides an entry point towards a better molecular understanding of the evolution of morphological features in cereals through selection and breeding.
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Affiliation(s)
- Tobias Würschum
- State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany
| | - Felix Jähne
- State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany
| | | | - Simon M Langer
- State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany
| | | | - Matthew R Tucker
- School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA, Australia
| | - Willmar L Leiser
- State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany
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34
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Liu L, Yuan C, Wang M, See DR, Chen X. Mapping Quantitative Trait Loci for High-Temperature Adult-Plant Resistance to Stripe Rust in Spring Wheat PI 197734 Using a Doubled Haploid Population and Genotyping by Multiplexed Sequencing. FRONTIERS IN PLANT SCIENCE 2020; 11:596962. [PMID: 33281855 PMCID: PMC7688900 DOI: 10.3389/fpls.2020.596962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 10/15/2020] [Indexed: 05/13/2023]
Abstract
Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is a global concern for wheat production. Spring wheat cultivar PI 197734, of Sweden origin, has shown high-temperature adult-plant resistance (APR) to stripe rust for many years. To map resistance quantitative trait loci (QTL), 178 doubled haploid lines were developed from a cross of PI 197734 with susceptible AvS. The DH lines and parents were tested in fields in 2017 and 2018 under natural infection of Pst and genotyped with genotyping by multiplexed sequencing (GMS). Kompetitive allele specific PCR (KASP) and simple sequence repeat (SSR) markers from specific chromosomal regions were also used to genotype the population to validate and saturate resistance QTL regions. Two major QTL on chromosomes 1AL and 3BL and one minor QTL on 2AL were identified. The two major QTL, QYrPI197734.wgp-1A and QYrPI197734.wgp-3B, were detected in all tested environments explaining up to 20.7 and 46.8% phenotypic variation, respectively. An awnletted gene mapped to the expected distal end of chromosome 5AL indicated the accuracy of linkage mapping. The KASP markers converted from the GMS-SNPs in the 1A and 3B QTL regions were used to genotype 95 US spring wheat cultivars and breeding lines, and they individually showed different percentages of polymorphisms. The haplotypes of the three markers for the 1A QTL and four markers for the 3B QTL identified 37.9 and 21.1% of the wheat cultivar/breeding lines possibly carrying these two QTL, indicating their usefulness in marker-assisted selection (MAS) for incorporating the two major QTL into new wheat cultivars.
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Affiliation(s)
- Lu Liu
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
- Agriculture and Agri-Food Canada, Summerland Research and Development Centre, Summerland, BC, Canada
| | - Congying Yuan
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
- College of Life Sciences, Luoyang Normal University, Luoyang, China
| | - Meinan Wang
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
| | - Deven R. See
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
- Wheat Health, Genetics, and Quality Research Unit, Agricultural Research Service, U.S. Department of Agriculture, Pullman, WA, United States
| | - Xianming Chen
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
- Wheat Health, Genetics, and Quality Research Unit, Agricultural Research Service, U.S. Department of Agriculture, Pullman, WA, United States
- *Correspondence: Xianming Chen, ;
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35
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Huang D, Zheng Q, Melchkart T, Bekkaoui Y, Konkin DJF, Kagale S, Martucci M, You FM, Clarke M, Adamski NM, Chinoy C, Steed A, McCartney CA, Cutler AJ, Nicholson P, Feurtado JA. Dominant inhibition of awn development by a putative zinc-finger transcriptional repressor expressed at the B1 locus in wheat. THE NEW PHYTOLOGIST 2020; 225:340-355. [PMID: 31469444 PMCID: PMC6916588 DOI: 10.1111/nph.16154] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 08/16/2019] [Indexed: 05/22/2023]
Abstract
Awns, bristle-like structures extending from grass lemmas, provide protection against predators, contribute to photosynthesis and aid in grain dispersal. In wheat, selection of awns with minimal extension, termed awnletted, has occurred during domestication by way of loci that dominantly inhibit awn development, such as Tipped1 (B1), Tipped2 (B2), and Hooded (Hd). Here we identify and characterize the B1 gene. B1 was identified using bulked segregant RNA-sequencing of an F2 durum wheat population and through deletion mapping of awned bread wheat mutants. Functional characterization was accomplished by gene overexpression while haplotype analyses assessed B1 polymorphisms and genetic variation. Located on chromosome 5A, B1 is a C2H2 zinc finger encoding gene with ethylene-responsive element binding factor-associated amphiphilic repression (EAR) motifs. Constitutive overexpression of B1 in awned wheat produced an awnletted phenotype with pleiotropic effects on plant height and fertility. Transcriptome analysis of B1 overexpression plants suggests a role as transcriptional repressor, putatively targeting pathways involved in cell proliferation. Haplotype analysis revealed a conserved B1 coding region with proximal polymorphisms and supported the contention that B1 is mainly responsible for awnletted wheats globally. B1, predominantly responsible for awn inhibition in wheat, encodes a C2H2 zinc finger protein with EAR motifs which putatively functions as a transcriptional repressor.
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Affiliation(s)
- Daiqing Huang
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Qian Zheng
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Tancey Melchkart
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Yasmina Bekkaoui
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - David J. F. Konkin
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Sateesh Kagale
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Martial Martucci
- Morden Research and Development CentreAgriculture and Agri‐Food Canada101 Route 100MordenMBR6M 1Y5Canada
| | - Frank M. You
- Ottawa Research and Development CentreAgriculture and Agri‐Food Canada960 Carling AvenueOttawaONK1A 0C6Canada
| | - Martha Clarke
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - Nikolai M. Adamski
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - Catherine Chinoy
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - Andrew Steed
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - Curt A. McCartney
- Morden Research and Development CentreAgriculture and Agri‐Food Canada101 Route 100MordenMBR6M 1Y5Canada
| | - Adrian J. Cutler
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
| | - Paul Nicholson
- Department of Crop GeneticsJohn Innes CentreNorwich Research Park, Colney LaneNorwichNR4 7UHUK
| | - J. Allan Feurtado
- Aquatic and Crop Resource DevelopmentNational Research Council of CanadaSaskatoonSKS7N 0W9Canada
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