The Whole Mitochondrial Genome Sequence of Dendrobium loddigesii Rolfe, an Endangered Orchid Species in China, Reveals a Complex Multi-Chromosome Structure
Wenjun Tong, Dandan Yu, Xiaojing Zhu, Zhifang Le, Hui Chen, Feilong Hu, Shengmin Wu
TL;DR
This study sequenced the mitochondrial genome of an endangered orchid, revealing a complex multi-chromosome structure with implications for orchid genome research.
Contribution
The first complete mitochondrial genome assembly of Dendrobium loddigesii, revealing its multi-chromosome structure and RNA-editing features.
Findings
The mitogenome consists of 17 circular subgenomes and contains 70 genes, including 36 protein-coding genes.
The study identified 482 RNA-editing sites and 27 homologous fragments between the mitogenome and chloroplast genome.
Phylogenetic analysis showed D. loddigesii and D. Amplum form a single clade with full bootstrap support.
Abstract
Dendrobium loddigesii is a precious traditional Chinese medicine with high medicinal and ornamental value. However, the characterization of its mitochondrial genome is still pending. Here, we assembled the complete mitochondrial genome of D. loddigesii and discovered that its genome possessed a complex multi-chromosome structure. The mitogenome of D. loddigesii consisted of 17 circular subgenomes, ranging in size from 16,323 bp to 56,781 bp. The total length of the mitogenome was 513,356 bp, with a GC content of 43.41%. The mitogenome contained 70 genes, comprising 36 protein-coding genes (PCGs), 31 tRNA genes, and 3 rRNA genes. Furthermore, we detected 403 repeat sequences as well as identified 482 RNA-editing sites and 8154 codons across all PCGs. Following the sequence similarity analysis, 27 fragments exhibiting homology to both the mitogenome and chloroplast genome were discovered,…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsDecision Support System Applications · Multimedia Learning Systems · Management and Optimization Techniques