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Wen Y, Lin S, Li X, Zhang J, Zhao Y, Ma D, Li M, Ren X, Zhang W. Relationship between wheat flour’s quality characteristics and color of fresh wet noodles. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2023. [DOI: 10.1080/10942912.2022.2161565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Yaqing Wen
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, PR China
| | - Shunshun Lin
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, PR China
| | - Xuejie Li
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, PR China
| | - Jian Zhang
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, PR China
| | - Yang Zhao
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, PR China
| | - Dongyun Ma
- Agronomy College, Henan Agricultural University, Zhengzhou, Henan Province, PR China
| | - Mengqin Li
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, PR China
| | - Xiujuan Ren
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, PR China
| | - Weifeng Zhang
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, PR China
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Guo Y, Wang G, Guo X, Chi S, Yu H, Jin K, Huang H, Wang D, Wu C, Tian J, Chen J, Bao Y, Zhang W, Deng Z. Genetic dissection of protein and starch during wheat grain development using QTL mapping and GWAS. FRONTIERS IN PLANT SCIENCE 2023; 14:1189887. [PMID: 37377808 PMCID: PMC10291175 DOI: 10.3389/fpls.2023.1189887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 05/18/2023] [Indexed: 06/29/2023]
Abstract
Protein, starch, and their components are important for wheat grain yield and end-products, which are affected by wheat grain development. Therefore, QTL mapping and a genome-wide association study (GWAS) of grain protein content (GPC), glutenin macropolymer content (GMP), amylopectin content (GApC), and amylose content (GAsC) were performed on wheat grain development at 7, 14, 21, and 28 days after anthesis (DAA) in two environments using a recombinant inbred line (RIL) population of 256 stable lines and a panel of 205 wheat accessions. A total of 29 unconditional QTLs, 13 conditional QTLs, 99 unconditional marker-trait associations (MTAs), and 14 conditional MTAs significantly associated (p < 10-4) with four quality traits were found to be distributed on 15 chromosomes, with the phenotypic variation explained (PVE) ranging from 5.35% to 39.86%. Among these genomic variations, three major QTLs [QGPC3B, QGPC2A, and QGPC(S3|S2)3B] and SNP clusters on the 3A and 6B chromosomes were detected for GPC, and the SNP TA005876-0602 was stably expressed during the three periods in the natural population. The QGMP3B locus was detected five times in three developmental stages in two environments with 5.89%-33.62% PVE, and SNP clusters for GMP content were found on the 3A and 3B chromosomes. For GApC, the QGApC3B.1 locus had the highest PVE of 25.69%, and SNP clusters were found on chromosomes 4A, 4B, 5B, 6B, and 7B. Four major QTLs of GAsC were detected at 21 and 28 DAA. Most interestingly, both QTL mapping and GWAS analysis indicated that four chromosomes (3B, 4A, 6B, and 7A) were mainly involved in the development of protein, GMP, amylopectin, and amylose synthesis. Of these, the wPt-5870-wPt-3620 marker interval on chromosome 3B seemed to be most important because it played an important role in the synthesis of GMP and amylopectin before 7 DAA, in the synthesis of protein and GMP from 14 to 21 DAA, and in the development of GApC and GAsC from 21 to 28 DAA. Using the annotation information of IWGSC Chinese Spring RefSeq v1.1 genome assembly, we predicted 28 and 69 candidate genes for major loci from QTL mapping and GWAS, respectively. Most of them have multiple effects on protein and starch synthesis during grain development. These results provide new insights and information for the potential regulatory network between grain protein and starch synthesis.
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Affiliation(s)
- Yingxin Guo
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
- College of Biological and Chemical Engineering, Qilu Institute of Technology, Jinan, Shandong, China
| | - Guanying Wang
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Xin Guo
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
- Taiyuan Agro-Tech Extension and Service Center, Taiyuan, Shanxi, China
| | - Songqi Chi
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Hui Yu
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Kaituo Jin
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Heting Huang
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Dehua Wang
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Chongning Wu
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Jichun Tian
- R&D Department, Shandong Huatian Agricultural Technology Co., Ltd, Feicheng, Shandong, China
| | - Jiansheng Chen
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Yinguang Bao
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Weidong Zhang
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Zhiying Deng
- State Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
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Guo X, Wu C, Wang D, Wang G, Jin K, Zhao Y, Tian J, Deng Z. Conditional QTL mapping for seed germination and seedling traits under salt stress and candidate gene prediction in wheat. Sci Rep 2022; 12:21010. [PMID: 36471100 PMCID: PMC9722660 DOI: 10.1038/s41598-022-25703-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Breeding new wheat varieties with salt resistance is one of the best ways to solve a constraint on the sustainability and expansion of wheat cultivation. Therefore, understanding the molecular components or genes related to salt tolerance must contribute to the cultivation of salt-tolerant varieties. The present study used a recombinant inbred line (RIL) population to genetically dissect the effects of different salt stress concentrations on wheat seed germination and seedling traits using two quantitative trait locus (QTL) mapping methods. A total of 31 unconditional and 11 conditional QTLs for salt tolerance were identified on 11 chromosomes explaining phenotypic variation (PVE) ranging from 2.01 to 65.76%. Of these, 15 major QTLs were found accounting for more than 10% PVE. QTL clusters were detected on chromosomes 2A and 3B in the marker intervals 'wPt-8328 and wPt-2087' and 'wPt-666008 and wPt-3620', respectively, involving more than one salt tolerance trait. QRdw3B and QSfw3B.2 were most consistent in two or more salt stress treatments. 16 candidate genes associated with salt tolerance were predicted in wheat. These results could be useful to improve salt tolerance by marker-assisted selection (MAS) and shed new light on understanding the genetic basis of salt tolerance in wheat.
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Affiliation(s)
- Xin Guo
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China ,Taiyuan Agro-Tech Extension and Service Center, 030000 Taiyuan, Shanxi People’s Republic of China
| | - Chongning Wu
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Dehua Wang
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Guanying Wang
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Kaituo Jin
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Yingjie Zhao
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Jichun Tian
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
| | - Zhiying Deng
- grid.440622.60000 0000 9482 4676State Key Laboratory of Crop Biology, Key Laboratory of Crop Biology of Shandong Province, Group of Wheat Quality Breeding, Agronomy College, Shandong Agricultural University, Tai’an, Shandong People’s Republic of China
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Hao S, Lou H, Wang H, Shi J, Liu D, Baogerile, Tao J, Miao S, Pei Q, Yu L, Wu M, Gao M, Zhao N, Dong J, You M, Xin M. Genome-Wide Association Study Reveals the Genetic Basis of Five Quality Traits in Chinese Wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:835306. [PMID: 35310636 PMCID: PMC8928432 DOI: 10.3389/fpls.2022.835306] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 02/14/2022] [Indexed: 09/10/2023]
Abstract
Bread wheat is a highly adaptable food crop grown extensively around the world and its quality genetic improvement has received wide attention. In this study, the genetic loci associated with five quality traits including protein content (PC), gluten content (GC), baking value (BV), grain hardness (HA), and sedimentation value (SV) in a population of 253 Chinese wheat grown in Inner Mongolia were investigated through genome wide association mapping. A total of 103 QTL containing 556 SNPs were significantly related to the five quality traits based on the phenotypic data collected from three environments and BLUP data. Of these QTL, 32 QTL were continuously detected under at least two experiments. Some QTL such as qBV3D.2/qHA3D.2 on 3D, qPC5A.3/qGC5A on 5A, qBV5D/qHA5D on 5D, qBV6B.2/qHA6B.3 on 6B, and qBV6D/qHA6D.1 on 6D were associated with multiple traits. In addition, distribution of favorable alleles of the stable QTL in the association panel and their effects on five quality traits were validated. Analysis of existing transcriptome data revealed that 34 genes were specifically highly expressed in grains during reproductive growth stages. The functions of these genes will be characterized in future experiments. This study provides novel insights into the genetic basis of quality traits in wheat.
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Affiliation(s)
- Shuiyuan Hao
- College of Agronomy, China Agricultural University, Beijing, China
- Safety Production and Early Warning Control Laboratory of Green Agricultural Products in Hetao Region, Hetao College, Bayannur, China
| | - Hongyao Lou
- Institute of Hybrid Wheat, Beijng Academy of Agriculture Forestry Sciences, Beijing, China
| | - Haiwei Wang
- Department of Agriculture, Hetao College, Bayannur, China
| | - Jinghong Shi
- Department of Agriculture, Hetao College, Bayannur, China
| | - Dan Liu
- Department of Medicine, Hetao College, Bayannur, China
| | - Baogerile
- Department of Library, Hetao College, Bayannur, China
| | - Jianguang Tao
- Bayannur City Meteorological Bureau, Bayannur, China
| | - Sanming Miao
- Bureau of Agriculture and Animal Husbandry of Linhe District of Bayannur, Bayannur, China
| | - Qunce Pei
- Bureau of Agriculture and Animal Husbandry of Linhe District of Bayannur, Bayannur, China
| | - Liangliang Yu
- Bayannur City Meteorological Bureau, Bayannur, China
| | - Min Wu
- Bureau of Agriculture and Animal Husbandry of Urat Middle Banner of Bayannur, Bayannur, China
| | - Ming Gao
- Department of Agriculture, Hetao College, Bayannur, China
| | - Naihu Zhao
- Department of Agriculture, Hetao College, Bayannur, China
| | - Jinchao Dong
- Department of Agriculture, Hetao College, Bayannur, China
| | - Mingshan You
- College of Agronomy, China Agricultural University, Beijing, China
| | - Mingming Xin
- College of Agronomy, China Agricultural University, Beijing, China
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