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Qiu Y, Han Z, Liu N, Yu M, Zhang S, Chen H, Tang H, Zhao Z, Wang K, Lin Z, Han F, Ye X. Effects of Aegilops longissima chromosome 1S l on wheat bread-making quality in two types of translocation lines. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 137:2. [PMID: 38072878 DOI: 10.1007/s00122-023-04504-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/15/2023] [Indexed: 12/18/2023]
Abstract
KEY MESSAGE Two wheat-Ae. longissima translocation chromosomes (1BS·1SlL and 1SlS·1BL) were transferred into three commercial wheat varieties, and the new advanced lines showed improved bread-making quality compared to their recurrent parents. Aegilops longissima chromosome 1Sl encodes specific types of gluten subunits that may positively affect wheat bread-making quality. The most effective method of introducing 1Sl chromosomal fragments containing the target genes into wheat is chromosome translocation. Here, a wheat-Ae. longissima 1BS·1SlL translocation line was developed using molecular marker-assisted chromosome engineering. Two types of translocation chromosomes developed in a previous study, 1BS·1SlL and 1SlS·1BL, were introduced into three commercial wheat varieties (Ningchun4, Ningchun50, and Westonia) via backcrossing with marker-assisted selection. Advanced translocation lines were confirmed through chromosome in situ hybridization and genotyping by target sequencing using the wheat 40 K system. Bread-making quality was found to be improved in the two types of advanced translocation lines compared to the corresponding recurrent parents. Furthermore, 1SlS·1BL translocation lines displayed better bread-making quality than 1BS·1SlL translocation lines in each genetic background. Further analysis revealed that high molecular weight glutenin subunit (HMW-GS) contents and expression levels of genes encoding low molecular weight glutenin subunits (LMW-GSs) were increased in 1SlS·1BL translocation lines. Gliadin and gluten-related transcription factors were also upregulated in the grains of the two types of advanced translocation lines compared to the recurrent parents. This study clarifies the impacts of specific glutenin subunits on bread-making quality and provides novel germplasm resources for further improvement of wheat quality through molecular breeding.
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Affiliation(s)
- Yuliang Qiu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- Institute of Cotton Sciences, Shanxi Agricultural University, Yuncheng, 044000, China
| | - Zhiyang Han
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Ningtao Liu
- Keshan Branch, Heilongjiang Academy of Agricultural Sciences, Qiqihar, 161600, China
| | - Mei Yu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shuangxi Zhang
- Crop Research Institute, Ningxia Academy of Agri-Forestry Sciences, Yinchuan, 750105, China
| | - Haiqiang Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Huali Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhiyong Zhao
- Institute of Cotton Sciences, Shanxi Agricultural University, Yuncheng, 044000, China
| | - Ke Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhishan Lin
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Fangpu Han
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xingguo Ye
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Molecular Characterization and SNP-Based Molecular Marker Development of Two Novel High Molecular Weight Glutenin Genes from Triticum spelta L. Int J Mol Sci 2022; 23:ijms231911104. [PMID: 36232404 PMCID: PMC9570065 DOI: 10.3390/ijms231911104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 09/09/2022] [Accepted: 09/11/2022] [Indexed: 11/18/2022] Open
Abstract
Spelt wheat (Triticum spelta L., 2n=6x=42, AABBDD) is a valuable source of new gene resources for wheat genetic improvement. In the present study, two novel high molecular weight glutenin subunits (HMW-GS) 1Ax2.1* at Glu-A1 and 1By19* at Glu-B1 from German spelt wheat were identified. The encoding genes of both subunits were amplified and cloned by allele-specific PCR (AS-PCR), and the complete sequences of open reading frames (ORF) were obtained. 1Ax2.1* with 2478 bp and 1By19* with 2163 bp encoded 824 and 720 amino acid residues, respectively. Molecular characterization showed that both subunits had a longer repetitive region, and high percentage of α-helices at the N- and C-termini, which are beneficial for forming superior gluten macropolymers. Protein modelling by AlphaFold2 revealed similar three-diamensional (3D) structure features of 1Ax2.1* with two x-type superior quality subunits (1Ax1 and 1Ax2*) and 1By19* with four y-type superior quality subunits (1By16, 1By9, 1By8 and 1By18). Four cysteine residues in the three x-type subunits (1Ax2.1*, 1Ax1 and 1Ax2*) and the cysteine in intermediate repeat region of y-type subunits were not expected to participate in intramolecular disulfide bond formation, but these cysteines might form intermolecular disulfide bonds with other glutenins and gliadins to enhance gluten macropolymer formation. The SNP-based molecular markers for 1Ax2.1* and 1By19* genes were developed, which were verified in different F2 populations and recombination inbred lines (RILs) derived from crossing between spelt wheat and bread wheat cultivars. This study provides data on new glutenin genes and molecular markers for wheat quality improvement.
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Cai Y, Zhang S, Zhang J, Liu X, Ma K, Xu W, Deng X, Yang J, Ma T, Jiang C, Hui W, Cui Y. Visual Detection of ACE I/D Polymorphism Using T-ARMS-PCR Combined with a Lateral Flow Assay and Its Clinical Application. Anal Chem 2022; 94:4686-4694. [PMID: 35271257 DOI: 10.1021/acs.analchem.1c04817] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Insertions/deletions (indels) variations have been recognized as a promising marker for the development of various diseases. However, methods used for the genotyping of indels in studies were tedious, complicated, and required sophisticated or expensive instruments, as well as complex data analysis, which makes it difficult to meet the demand of point of care testing. Herein, we presented a fast and accurate biosensor (T-ARMS-PCR-LFA) by the combination of tetra-primer amplification refractory mutation system polymerase chain reaction (T-ARMS-PCR) and GoldMag lateral flow assay (LFA) for visual genotyping of ACE I/D polymorphism. ACE I/D can be distinguished by employing four primers in one PCR reaction, and genotyping results were presented by the visual inspection of colors on the nitrocellulose membrane of LFA strips within 5 min. And 50 of the human genomic DNA samples were used for the detection of ACE I/D to further validate the accuracy of the T-ARMS-PCR-LFA system. As a demonstration, we showed that ACE I/D could be genotyped using a low amount of DNA sample (25 ng) with an accuracy of 100%, without complicated operation steps and data analysis, which is better than that of the conventional method (agarose gel electrophoresis analysis after common PCR). In conclusion, the biosensor is highly applicable for genotyping specific large indel variants in clinical practices, which enables rapid clinical decision-making, improves the management of disease diagnosis, and facilitates personalized medicine.
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Affiliation(s)
- Yu Cai
- College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,National Engineering Research Center for Miniaturized Detection System, Xi'an, Shaanxi 710069, China
| | - Sinong Zhang
- College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,National Engineering Research Center for Miniaturized Detection System, Xi'an, Shaanxi 710069, China
| | - Jiaxing Zhang
- College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,National Engineering Research Center for Miniaturized Detection System, Xi'an, Shaanxi 710069, China
| | - Xiaonan Liu
- College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,National Engineering Research Center for Miniaturized Detection System, Xi'an, Shaanxi 710069, China
| | - Kang Ma
- College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,National Engineering Research Center for Miniaturized Detection System, Xi'an, Shaanxi 710069, China
| | - Wei Xu
- College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,National Engineering Research Center for Miniaturized Detection System, Xi'an, Shaanxi 710069, China
| | - Xianghai Deng
- Department of Clinical Laboratory, Ankang Hospital of Traditional Chinese Medicine, Ankang, Shaanxi 725099, China
| | - Jiangcun Yang
- Department of Blood Transfusion, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Ting Ma
- Department of Blood Transfusion, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Chao Jiang
- The Second Affiliated Hospital of Xi'an Medical University and Shaanxi Key Laboratory of Brain Disorders, Xi'an, Shaanxi 710038, China
| | - Wenli Hui
- College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,National Engineering Research Center for Miniaturized Detection System, Xi'an, Shaanxi 710069, China
| | - Yali Cui
- College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.,National Engineering Research Center for Miniaturized Detection System, Xi'an, Shaanxi 710069, China
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Proteome and transcriptome analyses of wheat near isogenic lines identifies key proteins and genes of wheat bread quality. Sci Rep 2021; 11:9978. [PMID: 33976249 PMCID: PMC8113351 DOI: 10.1038/s41598-021-89140-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 04/21/2021] [Indexed: 11/08/2022] Open
Abstract
The regulation of wheat protein quality is a highly complex biological process involving multiple metabolic pathways. To reveal new insights into the regulatory pathways of wheat glutenin synthesis, we used the grain-filling period wheat grains of the near-isogenic lines NIL-723 and NIL-1010, which have large differences in quality, to perform a combined transcriptome and proteome analysis. Compared with NIL-1010, NIL-723 had 1287 transcripts and 355 proteins with significantly different abundances. Certain key significantly enriched pathway were identified, and wheat quality was associated with alanine, aspartate and glutamate metabolism, nitrogen metabolism and alpha-linolenic acid metabolism. Differentially expressed proteins (DEPs) or Differentially expressed genes (DEGs) in amino acid synthesis pathways were upregulated primarily in the glycine (Gly), methionine (Met), threonine (Thr), glutamic acid (Glu), proline (proC), cysteine (Cys), and arginine (Arg) synthesis and downregulated in the tryptophan (trpE), leucine (leuC), citrulline (argE), and ornithine (argE) synthesis. Furthermore, to elucidate changes in glutenin in the grain synthesis pathway, we plotted a regulatory pathway map and found that DEGs and DEPs in ribosomes (RPL5) and the ER (HSPA5, HYOU1, PDIA3, PDIA1, Sec24, and Sec31) may play key roles in regulating glutenin synthesis. The transcriptional validation of some of the differentially expressed proteins through real-time quantitative PCR analysis further validated the transcriptome and proteomic results.
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Li Y, Fu J, Shen Q, Yang D. High-Molecular-Weight Glutenin Subunits: Genetics, Structures, and Relation to End Use Qualities. Int J Mol Sci 2020; 22:E184. [PMID: 33375389 PMCID: PMC7795185 DOI: 10.3390/ijms22010184] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/16/2020] [Accepted: 12/23/2020] [Indexed: 02/06/2023] Open
Abstract
High-molecular-weight glutenin subunits (HMW-GSs) are storage proteins present in the starchy endosperm cells of wheat grain. Encoding the synthesis of HMW-GS, the Glu-1 loci located on the long arms of group 1 chromosomes of the hexaploid wheat (1A, 1B, and 1D) present multiple allelism. In hexaploid wheat cultivars, almost all of them express 3 to 5 HMW-GSs and the 1Ay gene is always silent. Though HMW-GSs are the minor components in gluten, they are crucial for dough properties, and certain HMW-GSs make more positive contributions than others. The HMW-GS acts as a "chain extender" and provides a disulfide-bonded backbone in gluten network. Hydrogen bonds mediated by glutamine side chains are also crucial for stabilizing the gluten structure. In most cases, HMW-GSs with additional or less cysteines are related to the formation of relatively more or less interchain disulfide bonds and HMW-GSs also affect the gluten secondary structures, which in turn impact the end use qualities of dough.
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Affiliation(s)
- Yi Li
- Beijing Key Laboratory of Functional Food from Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, 17 East Tsinghua Rd., Beijing 100083, China; (Y.L.); (J.F.)
- Xinghua Industrial Research Centre for Food Science and Human Health, China Agricultural University, Xinghua 225700, China
| | - Jiahui Fu
- Beijing Key Laboratory of Functional Food from Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, 17 East Tsinghua Rd., Beijing 100083, China; (Y.L.); (J.F.)
| | - Qun Shen
- Key Laboratory of Plant Protein and Grain Processing, National Engineering Research Center for Fruit and Vegetable Processing, China Agricultural University, 17 East Tsinghua Rd., Beijing 100083, China;
| | - Dong Yang
- Beijing Key Laboratory of Functional Food from Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, 17 East Tsinghua Rd., Beijing 100083, China; (Y.L.); (J.F.)
- Xinghua Industrial Research Centre for Food Science and Human Health, China Agricultural University, Xinghua 225700, China
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