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Genetic Improvement and Application Practices of Synthetic Hexaploid Wheat. Genes (Basel) 2023; 14:genes14020283. [PMID: 36833210 PMCID: PMC9956247 DOI: 10.3390/genes14020283] [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: 12/24/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
Synthetic hexaploid wheat (SHW) is a useful genetic resource that can be used to improve the performance of common wheat by transferring favorable genes from a wide range of tetraploid or diploid donors. From the perspectives of physiology, cultivation, and molecular genetics, the use of SHW has the potential to increase wheat yield. Moreover, genomic variation and recombination were enhanced in newly formed SHW, which could generate more genovariation or new gene combinations compared to ancestral genomes. Accordingly, we presented a breeding strategy for the application of SHW-the 'large population with limited backcrossing method'-and we pyramided stripe rust resistance and big-spike-related QTLs/genes from SHW into new high-yield cultivars, which represents an important genetic basis of big-spike wheat in southwestern China. For further breeding applications of SHW-derived cultivars, we used the 'recombinant inbred line-based breeding method' that combines both phenotypic and genotypic evaluations to pyramid multi-spike and pre-harvest sprouting resistance QTLs/genes from other germplasms to SHW-derived cultivars; consequently, we created record-breaking high-yield wheat in southwestern China. To meet upcoming environmental challenges and continuous global demand for wheat production, SHW with broad genetic resources from wild donor species will play a major role in wheat breeding.
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Zhang S, Du P, Lu X, Fang J, Wang J, Chen X, Chen J, Wu H, Yang Y, Tsujimoto H, Chu C, Qi Z. Frequent numerical and structural chromosome changes in early generations of synthetic hexaploid wheat. Genome 2021; 65:205-217. [PMID: 34914567 DOI: 10.1139/gen-2021-0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Modern hexaploid wheat (Triticum aestivum L.; AABBDD) evolved from a hybrid of tetraploid wheat (closely related to Triticum turgidum L. ssp. durum (Desf.) Husn., AABB) and goatgrass (Aegilops tauschii Coss., DD). Variations in chromosome structure and ploidy played important roles in wheat evolution. How these variations occurred and their role in expanding the genetic diversity in modern wheat is mostly unknown. Synthetic hexaploid wheat (SHW) can be used to investigate chromosome variation that occurs during the early generations of existence. SHW lines derived by crossing durum wheat 'Langdon' with twelve Ae. tauschii accessions were analyzed using oligonucelotide probe multiplex fluorescence in situ hybridization (FISH) to metaphase chromosomes and SNP markers. Cluster analysis based on SNP markers categorized them into three groups. Among 702 plants from the S8 and S9 generations, 415 (59.12%) carried chromosome variations involving all 21 chromosomes but with different frequencies for each chromosome and sub-genome. Total chromosome variation frequencies varied between lines, but there was no significant difference among the three groups. The non-random chromosome variations in SHW lines detected in this research may be an indication that similar variations occurred in the early stages of wheat polyploidization and played important roles in wheat evolution.
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Affiliation(s)
- Siyu Zhang
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Pei Du
- Henan Academy of Agricultural Sciences, 74728, Henan Academy of Crop Molecular Breeding, Zhengzhou, Henan, China;
| | - Xueying Lu
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Jiaxin Fang
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Jiaqi Wang
- Nanjing Agricultural University, 70578, Weigang No.1, Nanjing, Jiangsu, China, 210095;
| | - Xuejun Chen
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Jianyong Chen
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Hao Wu
- Nanjing Agricultural University, 70578, Nanjing, Jiangsu, China;
| | - Yang Yang
- Zaozhuang University, 372543, Zaozhuang, Shandong, China;
| | - Hisashi Tsujimoto
- Tottori University, 13114, Arid Land Research Center, Hamasaka, Tottori, Japan;
| | - Chenggen Chu
- USDA ARS, 17123, Fargo, North Dakota, United States;
| | - Zengjun Qi
- Nanjing Agricultural University, 70578, Weigang 1,Nanjing, Nanjing, China, 210095;
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