Genomics and Genetic Engineering Laboratory of Ornamental Plants, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, China.
BMC Biol. 2023 Sep 12;21(1):192. doi: 10.1186/s12915-023-01692-1.
Lauraceae is well known for its significant phylogenetic position as well as important economic and ornamental value; however, most evergreen species in Lauraceae are restricted to tropical regions. In contrast, camphor tree (Cinnamomum camphora) is the most dominant evergreen broadleaved tree in subtropical urban landscapes.
Here, we present a high-quality reference genome of C. camphora and conduct comparative genomics between C. camphora and C. kanehirae. Our findings demonstrated the significance of key genes in circadian rhythms and phenylpropanoid metabolism in enhancing cold response, and terpene synthases (TPSs) improved defence response with tandem duplication and gene cluster formation in C. camphora. Additionally, the first comprehensive catalogue of C. camphora based on whole-genome resequencing of 75 accessions was constructed, which confirmed the crucial roles of the above pathways and revealed candidate genes under selection in more popular C. camphora, and indicated that enhancing environmental adaptation is the primary force driving C. camphora breeding and dominance.
These results decipher the dominance of C. camphora in subtropical urban landscapes and provide abundant genomic resources for enlarging the application scopes of evergreen broadleaved trees.
樟科因其重要的系统发育地位以及重要的经济和观赏价值而广为人知;然而,樟科的大多数常绿物种都局限于热带地区。相比之下,樟树(Cinnamomum camphora)是亚热带城市景观中最主要的常绿阔叶树种。
本文呈现了高质量的 C. camphora 参考基因组,并对 C. camphora 和 C. kanehirae 进行了比较基因组学研究。研究结果表明,生物钟和苯丙烷代谢途径中的关键基因在增强冷响应方面具有重要意义,而萜烯合酶(TPSs)通过串联重复和基因簇形成在樟树中提高了防御反应。此外,还构建了第一个基于 75 个品系全基因组重测序的 C. camphora 综合目录,证实了上述途径的关键作用,并揭示了在更受欢迎的 C. camphora 中受选择影响的候选基因,表明增强环境适应性是推动樟树培育和优势的主要力量。
这些结果揭示了樟树在亚热带城市景观中的优势地位,并为扩大常绿阔叶树种的应用范围提供了丰富的基因组资源。