Lin Zhang, Yan Shi, Wenfang Gong, Guang Zhao, Shixin Xiao, Hai Lin, Yanmin Li, Zhenyang Liao, Shengcheng Zhang, Guanxing Hu, Ziqi Ye, Haifeng Wang, Zhiqiang Xia, Yekun Yang, Heping Cao, Shengjun Zhong, Xingtan Zhang, Deyi Yuan
{"title":"The tetraploid Camellia oleifera genome provides insights into evolution, agronomic traits, and genetic architecture of oil Camellia plants.","authors":"Lin Zhang, Yan Shi, Wenfang Gong, Guang Zhao, Shixin Xiao, Hai Lin, Yanmin Li, Zhenyang Liao, Shengcheng Zhang, Guanxing Hu, Ziqi Ye, Haifeng Wang, Zhiqiang Xia, Yekun Yang, Heping Cao, Shengjun Zhong, Xingtan Zhang, Deyi Yuan","doi":"10.1016/j.celrep.2024.114902","DOIUrl":null,"url":null,"abstract":"<p><p>Camellia oleifera is an economically important woody oil plant. Complex ploidy and lack of genomic information have seriously hindered the molecular breeding of C. oleifera. Here, we present an 11.43-Gb haplotype-resolved, chromosome-level genome assembly of tetraploid C. oleifera (COL-tetra). Methods employed in this study support the conclusion that COL-tetra is an autotetraploid and probably originates from genome doubling of the diploid C. brevistyla. In addition, DNA methylation plays a significant role in imbalanced allelic expression and seed development. Genetic divergence analyses reveal significant differentiation signals for flowering time between spring-flowering and autumn-flowering oil Camellia species, which probably account for reproductive isolation between species with distinct flowering times. Strong introgression signals are detected between COL-tetra and C. sasanqua and between C. vietnamensis and COL-hexa, which might affect the development of agronomic traits and environmental adaptability. This study provides valuable insights into the evolution, agronomic trait development, and genetic architecture of oil Camellia plants.</p>","PeriodicalId":9798,"journal":{"name":"Cell reports","volume":"43 11","pages":"114902"},"PeriodicalIF":7.5000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell reports","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.celrep.2024.114902","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Camellia oleifera is an economically important woody oil plant. Complex ploidy and lack of genomic information have seriously hindered the molecular breeding of C. oleifera. Here, we present an 11.43-Gb haplotype-resolved, chromosome-level genome assembly of tetraploid C. oleifera (COL-tetra). Methods employed in this study support the conclusion that COL-tetra is an autotetraploid and probably originates from genome doubling of the diploid C. brevistyla. In addition, DNA methylation plays a significant role in imbalanced allelic expression and seed development. Genetic divergence analyses reveal significant differentiation signals for flowering time between spring-flowering and autumn-flowering oil Camellia species, which probably account for reproductive isolation between species with distinct flowering times. Strong introgression signals are detected between COL-tetra and C. sasanqua and between C. vietnamensis and COL-hexa, which might affect the development of agronomic traits and environmental adaptability. This study provides valuable insights into the evolution, agronomic trait development, and genetic architecture of oil Camellia plants.
期刊介绍:
Cell Reports publishes high-quality research across the life sciences and focuses on new biological insight as its primary criterion for publication. The journal offers three primary article types: Reports, which are shorter single-point articles, research articles, which are longer and provide deeper mechanistic insights, and resources, which highlight significant technical advances or major informational datasets that contribute to biological advances. Reviews covering recent literature in emerging and active fields are also accepted.
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