De novo assembly of the complete mitochondrial genomes of two Camellia-oil tree species reveals their multibranch conformation and evolutionary relationships

从头组装两种油山茶树的完整线粒体基因组,揭示了它们的多分支结构和进化关系。

阅读:1

Abstract

Camellia-oil trees are economically valuable, oil-rich species within the genus Camellia, family Theaceae. Among these species, C. oleifera, a member of Section Oleifera in the genus, is the most extensively cultivated in China. In this study, we assembled the mitochondrial genomes (mitogenomes) of two Camellia species, namely C. oleifera and C. lanceoleosa. These two species are closely related and belong to the same genus and section, with C. oleifera being hexaploid and C. lanceoleosa being diploid. The mitogenome of C. oleifera is comprised of 1,039,838 base pairs (bp), and C. lanceoleosa is comprised of 934,155 bp. Both genomes exhibit a multipartite genome structure, which is supported by our PCR experiments. We conducted codon usage and RNA editing site analysis on these two mitogenomes, which showed highly consistent results. However, analysis of repetitive sequences and mitochondrial plastid sequences (MTPTs) revealed differences between the two mitogenomes. Phylogenetic analysis indicated that these two species clustered together, suggesting a close evolutionary relationship. The collinearity analysis results showed extensive genome rearrangements in the mitogenomes of Camellia species. We successfully assembled the mitogenomes of C. oleifera and C. lanceoleosa, marking a significant advancement in understanding camellia-oil tree mitogenomes. Unlike circular mitogenomes reported before, our research confirms multiple-branched configurations in these two species. This sheds light on mitogenome structural complexities and contributes to our understanding of evolutionary processes. Additionally, these results enrich Camellia genetic resources and expand our knowledge of mitogenome variation.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。