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Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius)
Rubus corchorifolius (Shanmei or mountain berry, 2n = 14) is widely distributed in China, and its fruits possess high nutritional and medicinal values. Here, we reported a high-quality chromosome-scale genome assembly of Shanmei, with contig size of 215.69 Mb and 26,696 genes. Genome comparison amon...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225494/ https://www.ncbi.nlm.nih.gov/pubmed/35643190 http://dx.doi.org/10.1016/j.gpb.2022.05.003 |
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author | Yang, Yinqing Zhang, Kang Xiao, Ya Zhang, Lingkui Huang, Yile Li, Xing Chen, Shumin Peng, Yansong Yang, Shuhua Liu, Yongbo Cheng, Feng |
author_facet | Yang, Yinqing Zhang, Kang Xiao, Ya Zhang, Lingkui Huang, Yile Li, Xing Chen, Shumin Peng, Yansong Yang, Shuhua Liu, Yongbo Cheng, Feng |
author_sort | Yang, Yinqing |
collection | PubMed |
description | Rubus corchorifolius (Shanmei or mountain berry, 2n = 14) is widely distributed in China, and its fruits possess high nutritional and medicinal values. Here, we reported a high-quality chromosome-scale genome assembly of Shanmei, with contig size of 215.69 Mb and 26,696 genes. Genome comparison among Rosaceae species showed that Shanmei and Fupenzi (Rubus chingii Hu) were most closely related, followed by blackberry (Rubus occidentalis), and that environmental adaptation-related genes were expanded in the Shanmei genome. Further resequencing of 101 samples of Shanmei collected from four regions in the provinces of Yunnan, Hunan, Jiangxi, and Sichuan in China revealed that among these samples, the Hunan population of Shanmei possessed the highest diversity and represented the more ancestral population. Moreover, the Yunnan population underwent strong selection based on the nucleotide diversity, linkage disequilibrium, and historical effective population size analyses. Furthermore, genes from candidate genomic regions that showed strong divergence were significantly enriched in the flavonoid biosynthesis and plant hormone signal transduction pathways, indicating the genetic basis of adaptation of Shanmei to the local environment. The high-quality assembled genome and the variome dataset of Shanmei provide valuable resources for breeding applications and for elucidating the genome evolution and ecological adaptation of Rubus species. |
format | Online Article Text |
id | pubmed-10225494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102254942023-05-30 Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius) Yang, Yinqing Zhang, Kang Xiao, Ya Zhang, Lingkui Huang, Yile Li, Xing Chen, Shumin Peng, Yansong Yang, Shuhua Liu, Yongbo Cheng, Feng Genomics Proteomics Bioinformatics Original Research Rubus corchorifolius (Shanmei or mountain berry, 2n = 14) is widely distributed in China, and its fruits possess high nutritional and medicinal values. Here, we reported a high-quality chromosome-scale genome assembly of Shanmei, with contig size of 215.69 Mb and 26,696 genes. Genome comparison among Rosaceae species showed that Shanmei and Fupenzi (Rubus chingii Hu) were most closely related, followed by blackberry (Rubus occidentalis), and that environmental adaptation-related genes were expanded in the Shanmei genome. Further resequencing of 101 samples of Shanmei collected from four regions in the provinces of Yunnan, Hunan, Jiangxi, and Sichuan in China revealed that among these samples, the Hunan population of Shanmei possessed the highest diversity and represented the more ancestral population. Moreover, the Yunnan population underwent strong selection based on the nucleotide diversity, linkage disequilibrium, and historical effective population size analyses. Furthermore, genes from candidate genomic regions that showed strong divergence were significantly enriched in the flavonoid biosynthesis and plant hormone signal transduction pathways, indicating the genetic basis of adaptation of Shanmei to the local environment. The high-quality assembled genome and the variome dataset of Shanmei provide valuable resources for breeding applications and for elucidating the genome evolution and ecological adaptation of Rubus species. Elsevier 2022-12 2022-05-25 /pmc/articles/PMC10225494/ /pubmed/35643190 http://dx.doi.org/10.1016/j.gpb.2022.05.003 Text en © 2022 The Authors. Published by Elsevier B.V. and Science Press on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Research Yang, Yinqing Zhang, Kang Xiao, Ya Zhang, Lingkui Huang, Yile Li, Xing Chen, Shumin Peng, Yansong Yang, Shuhua Liu, Yongbo Cheng, Feng Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius) |
title | Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius) |
title_full | Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius) |
title_fullStr | Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius) |
title_full_unstemmed | Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius) |
title_short | Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius) |
title_sort | genome assembly and population resequencing reveal the geographical divergence of shanmei (rubus corchorifolius) |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225494/ https://www.ncbi.nlm.nih.gov/pubmed/35643190 http://dx.doi.org/10.1016/j.gpb.2022.05.003 |
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