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Time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding
Temperate japonica/geng (GJ) rice yield has significantly improved due to intensive breeding efforts, dramatically enhancing global food security. However, little is known about the underlying genomic structural variations (SVs) responsible for this improvement. We compared 58 long‐read assemblies c...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829401/ https://www.ncbi.nlm.nih.gov/pubmed/36196761 http://dx.doi.org/10.1111/pbi.13938 |
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author | Wang, Yu Li, Fengcheng Zhang, Fan Wu, Lian Xu, Na Sun, Qi Chen, Hao Yu, Zhiwen Lu, Jiahao Jiang, Kai Wang, Xiaoche Wen, Siyu Zhou, Yao Zhao, Hui Jiang, Qian Wang, Jiahong Jia, Ruizong Sun, Jian Tang, Liang Xu, Hai Hu, Wei Xu, Zhengjin Chen, Wenfu Guo, Anping Xu, Quan |
author_facet | Wang, Yu Li, Fengcheng Zhang, Fan Wu, Lian Xu, Na Sun, Qi Chen, Hao Yu, Zhiwen Lu, Jiahao Jiang, Kai Wang, Xiaoche Wen, Siyu Zhou, Yao Zhao, Hui Jiang, Qian Wang, Jiahong Jia, Ruizong Sun, Jian Tang, Liang Xu, Hai Hu, Wei Xu, Zhengjin Chen, Wenfu Guo, Anping Xu, Quan |
author_sort | Wang, Yu |
collection | PubMed |
description | Temperate japonica/geng (GJ) rice yield has significantly improved due to intensive breeding efforts, dramatically enhancing global food security. However, little is known about the underlying genomic structural variations (SVs) responsible for this improvement. We compared 58 long‐read assemblies comprising cultivated and wild rice species in the present study, revealing 156 319 SVs. The phylogenomic analysis based on the SV dataset detected the putatively selected region of GJ sub‐populations. A significant portion of the detected SVs overlapped with genic regions were found to influence the expression of involved genes inside GJ assemblies. Integrating the SVs and causal genetic variants underlying agronomic traits into the analysis enables the precise identification of breeding signatures resulting from complex breeding histories aimed at stress tolerance, yield potential and quality improvement. Further, the results demonstrated genomic and genetic evidence that the SV in the promoter of LTG1 is accounting for chilling sensitivity, and the increased copy numbers of GNP1 were associated with positive effects on grain number. In summary, the current study provides genomic resources for retracing the properties of SVs‐shaped agronomic traits during previous breeding procedures, which will assist future genetic, genomic and breeding research on rice. |
format | Online Article Text |
id | pubmed-9829401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98294012023-01-10 Time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding Wang, Yu Li, Fengcheng Zhang, Fan Wu, Lian Xu, Na Sun, Qi Chen, Hao Yu, Zhiwen Lu, Jiahao Jiang, Kai Wang, Xiaoche Wen, Siyu Zhou, Yao Zhao, Hui Jiang, Qian Wang, Jiahong Jia, Ruizong Sun, Jian Tang, Liang Xu, Hai Hu, Wei Xu, Zhengjin Chen, Wenfu Guo, Anping Xu, Quan Plant Biotechnol J Research Articles Temperate japonica/geng (GJ) rice yield has significantly improved due to intensive breeding efforts, dramatically enhancing global food security. However, little is known about the underlying genomic structural variations (SVs) responsible for this improvement. We compared 58 long‐read assemblies comprising cultivated and wild rice species in the present study, revealing 156 319 SVs. The phylogenomic analysis based on the SV dataset detected the putatively selected region of GJ sub‐populations. A significant portion of the detected SVs overlapped with genic regions were found to influence the expression of involved genes inside GJ assemblies. Integrating the SVs and causal genetic variants underlying agronomic traits into the analysis enables the precise identification of breeding signatures resulting from complex breeding histories aimed at stress tolerance, yield potential and quality improvement. Further, the results demonstrated genomic and genetic evidence that the SV in the promoter of LTG1 is accounting for chilling sensitivity, and the increased copy numbers of GNP1 were associated with positive effects on grain number. In summary, the current study provides genomic resources for retracing the properties of SVs‐shaped agronomic traits during previous breeding procedures, which will assist future genetic, genomic and breeding research on rice. John Wiley and Sons Inc. 2022-10-21 2023-01 /pmc/articles/PMC9829401/ /pubmed/36196761 http://dx.doi.org/10.1111/pbi.13938 Text en © 2022 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Wang, Yu Li, Fengcheng Zhang, Fan Wu, Lian Xu, Na Sun, Qi Chen, Hao Yu, Zhiwen Lu, Jiahao Jiang, Kai Wang, Xiaoche Wen, Siyu Zhou, Yao Zhao, Hui Jiang, Qian Wang, Jiahong Jia, Ruizong Sun, Jian Tang, Liang Xu, Hai Hu, Wei Xu, Zhengjin Chen, Wenfu Guo, Anping Xu, Quan Time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding |
title | Time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding |
title_full | Time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding |
title_fullStr | Time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding |
title_full_unstemmed | Time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding |
title_short | Time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding |
title_sort | time‐ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829401/ https://www.ncbi.nlm.nih.gov/pubmed/36196761 http://dx.doi.org/10.1111/pbi.13938 |
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