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ABSTRACT
Plantago asiatica L. is a representative individual species of Plantaginaceae, whose high reputation is owed to its edible and medicinal values. However, the phylogeny and genes of the P. asiatica chloroplast have not yet been well described. Here we report the findings of a comprehensive analysis of the P. asiatica chloroplast genome. The P. asiatica chloroplast genome is 164,992 bp, circular, and has a GC content of 37.98%. The circular genome contains 141 genes, including 8 rRNAs, 38 tRNAs, and 95 protein-coding genes. Seventy-two simple sequence repeats are detected. Comparative chloroplast genome analysis of six related species suggests that a higher similarity exists in the coding region than the non-coding region, and differences in the degree of preservation is smaller between P. asiatica and Plantago depressa than among others. Our phylogenetic analysis illustrates P. asiatica has a relatively close relationship with P. depressa, which was also divided into different clades with Plantago ovata and Plantago lagopus in the genus Plantago. This analysis of the P. asiatica chloroplast genome contributes to an improved deeply understanding of the evolutionary relationships among Plantaginaceae.
Acknowledgments
We would like to thank Genewiz Biotechnology (Suzhou) Co. Ltd in China for chloroplast genome sequencing and bioinformatics analysis.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Author Contributions
Conceived, designed the study: SX, DP and JW; collected specimens and prepared samples for sequencing: JW and NY, Analysis and interpretation of the data: SX, JW, JZ, and XG; Drafted the manuscript: JW and NY; Revised and criticized the manuscript: SX and DP; All authors approved the final version and agreed to accountable for all aspects of the work.
Ethics declarations
No ethical approval/permission is required in this study.
Data availability
The data that support the findings of this study are openly available in GenBank of NCBI (https://www.ncbi.nlm.nih.gov) under the access number OL694048. The associated BioProject, SRA and Bio-Sample numbers are PRJNA797537, SRR17629686, and S SAMN25008951 respectively.
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/15592324.2022.2163345