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タイトル: | DArTseq-based analysis of genomic relationships among species of tribe Triticeae |
著者: | Edet, Offiong U. Gorafi, Yasir S. A. Nasuda, Shuhei Tsujimoto, Hisashi |
著者名の別形: | 那須田, 周平 |
発行日: | 6-Nov-2018 |
出版者: | Springer Science and Business Media LLC |
誌名: | Scientific reports |
巻: | 8 |
号: | 1 |
論文番号: | 16397 |
抄録: | Precise utilization of wild genetic resources to improve the resistance of their cultivated relatives to environmental growth limiting factors, such as salinity stress and diseases, requires a clear understanding of their genomic relationships. Although seriously criticized, analyzing these relationships in tribe Triticeae has largely been based on meiotic chromosome pairing in hybrids of wide crosses, a specialized and labourious strategy. In this study, DArTseq, an efficient genotyping-by-sequencing platform, was applied to analyze the genomes of 34 Triticeae species. We reconstructed the phylogenetic relationships among diploid and polyploid Aegilops and Triticum species, including hexaploid wheat. Tentatively, we have identified the diploid genomes that are likely to have been involved in the evolution of five polyploid species of Aegilops, which have remained unresolved for decades. Explanations which cast light on the progenitor of the A genomes and the complex genomic status of the B/G genomes of polyploid Triticum species in the Emmer and Timopheevi lineages of wheat have also been provided. This study has, therefore, demonstrated that DArTseq genotyping can be effectively applied to analyze the genomes of plants, especially where their genome sequence information are not available. |
著作権等: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
URI: | http://hdl.handle.net/2433/245792 |
DOI(出版社版): | 10.1038/s41598-018-34811-y |
PubMed ID: | 30401925 |
出現コレクション: | 学術雑誌掲載論文等 |
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