Skip to main content
Mitochondrial DNA. Part B, Resources logoLink to Mitochondrial DNA. Part B, Resources
. 2022 Jul 6;7(7):1249–1251. doi: 10.1080/23802359.2022.2093674

The complete chloroplast genome sequence of Lespedeza buergeri Miq. (Fabaceae)

Shuting Wang a, Fei Meng a, Jing Wu a,b, Xiaoyan Yao a, Xiaohu Guo a, Liping Wu a, Jing Zhang a, Shihai Xing a,b,c,✉
PMCID: PMC9275484  PMID: 35837494

Abstract

The complete chloroplast genome sequence of Lespedeza buergeri is presented in this report. It is 149,065 bp in length and divided into four distinct regions: a small single copy (SSC) region of 18,934 bp, a large single copy (LSC) region of 82,476 bp, and a pair of inverted repeat regions of 23,826 bp. The annotation of the L. buergeri complete chloroplast genome predicted a total of 123 genes (77 protein-coding genes, 38 transfer RNA genes, and 8 ribosomal RNA genes). Phylogenetic analysis with the reported chloroplast genomes revealed that L. buergeri is nested in the genus Lespedeza of Fabaceae family. Furthermore, L. buergeri exhibited a close relationship with Lespedeza bicolor and Lespedeza cuneata. This results in this study might contribute to further investigating the evolutionary relationship of family Fabaceae.

Keywords: Lespedeza buergeri; Fabaceae, chloroplast genome, phylogenetic analysis


Lespedeza buergeri Miq.1876 belongs to the genus Lespedeza, and this genus contains about 60 species within the family Fabaceae (Sun et al. 2021). L. buergeri is a shrub disjunctively distributed in China, Korea, and Japan (Jin et al. 2016). L. buergeri commonly grows in forest or forest slopes above 500 m above sea level and is primarily planted in the greening of highways and railway slopes due to its strong drought resistance (Zhang et al. 2021). However, it does not only give full play to the ornamental value, such as long flowering period, rich flower color, and beautiful posture, but also the leaves and roots of L. buergeri have medicinal values (Jin et al. 2016; Sun et al. 2021). In this study, the complete chloroplast (Cp) genome sequence of L. buergeri was reported to provide a genomic resource and elucidate the phylogenetic relationship between this plant and other species in the Fabaceae family and other related plants. The results can contribute to a better understanding of the phylogenetic position of the species and provide important genetic information for further research. The sequence was submitted to GenBank with the accession number OM214533.

The fresh young leaves of L. buergeri were collected from Anhui University of Chinese Medicine (117°38'E, 31°93'N), and the specimen was deposited in the Center of Herbarium, Anhui University of Traditional Chinese Medicine, Hefei, China, under accession number 20211019 (AhtcmH, yxy.ahtcm.edu.cn/info/1006/6713.htm, Shi-hai Xing, xshshihai@163.com). Genomic DNA was extracted by DNAsecure Plant Kit (Tiangen Biotech Co., Ltd., Beijing, China). A total of 200 μg of genomic DNA was randomly fragmented to an average size of 300–350 bp, and the obtained DNA was constructed into paired-end (PE) libraries of an average of 500 bp. DNA libraries with different indices were multiplexed and loaded on an Illumina HiSeq instrument according to manufacturer’s instructions (Illumina, San Diego, CA, USA). Sequencing was carried out using a 2 × 150 paired-end configuration, image analysis and base calling were conducted by the HiSeq control software (HCS) + OLB + GAPipeline-1.6 (Illumina) on the HiSeq instrument. The reads were quality controlled and then assembled using velvet (version 1.2.10), gaps filled with SSPACE (version 3.0) and GapFiller (version 1–10) (Zerbino and Birney 2008; Boetzer et al. 2011; Boetzer and Pirovano 2012). Based on the clean data, the chloroplast genome of L. buergeri was assembled using the software NOVOPlasty 2.7.2 (Dierckxsens et al. 2017) and auxiliary software Spades (Bankevich et al. 2012) on all the contigs, which used the complete Cp genomic sequences of L. bicolor (GenBank: NC_046836) was utilized as a reference genome for predicting genes by Prodigal (version 3.02) (Hyatt et al. 2010).

The Cp genome of L. buergeri was a typical circular form of 149,065 bp in length and was separated into four distinct regions: a large single copy (LSC) region of 82,476 bp, a small single copy (SSC) region of 18,934 bp, and a pair of inverted repeat regions of 23,826 bp. Overall, the GC content of this Cp genome was 35.82%. The Cp genome of L. buergeri encoded a total of 123 genes, which belong to three categories, including 77 protein coding genes, 8 ribosomal RNA (rRNA) genes and 38 transfer RNA (tRNA) genes. The assembled complete Cp genome sequences of L. buergeri had been submitted to NCBI.

Furthermore, the Cp genome sequences of 21 species were aligned by MAFFT v7 to understand the phylogenetic relationship between L. buergeri and other related species (Katoh and Standley 2013). Afterward, the evolutionary history was inferred by using the maximum-likelihood (ML) approach in MEGA7.0 (Kumar et al. 2016) in the Tamura-Nei substitution model (Kumar et al. 2018). Bootstrap (BS) value was calculated through 1000 times of repeated analyses (Stamatakis et al. 2008) (Figure 1). As expected, L. buergeri closely grouped with L. bicolor and L. cuneata in genus Lespedeza. This complete Cp genome can contribute to future population genomic studies, DNA barcoding, and conservation genetics.

Figure 1.

Figure 1.

Phylogenetic tree plotting by Maximum Likelihold Method based on an alignment of the completed chloroplast genome sequences of Lespedeza buergeri Miq. and 20 other representative species. The bootstrap parameter was set as 1,000 replicates.

Acknowledgements

We would like to thank Genewiz Biotechnology (Suzhou) Co. Ltd in China for chloroplast genome sequencing.

Funding Statement

This work was supported by the NSF of Anhui Province [Grant No. 1908085MH268] and Key Natural Science Research Projects in Anhui Universities [Grant No. KJ2019A0453].

Author contributions

Conceived, designed the study: SX, SW and JW; collected specimens and prepared samples for sequencing: SW and JW, Analysis and interpretation of the data: SX, SW, JW, XG, FM and XY; Drafted the manuscript: SW and JW; Revised and criticized the manuscript: SX, JW, LW, and JZ; All authors approved the final version and agreed to accountable for all aspects of the work.

Ethical approval

This study includes no human, animal or Endangered plant samples, and the samples were legally collected in accordance with guidelines provided by the authors’ institution and national or international regulations. Field studies were complied with local legislation. No ethical approval/permission is required in this study.

Disclosure statement

No potential conflict of interest was reported by the author(s). The authors alone are responsible for the content and writing of this article.

Data availability statement

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 OM214533. The other data such as associated BioProject, SRA and Bio-Sample numbers are PRJNA797562, SRR17633451, and SAMN25013315, respectively.

References

  1. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SL, Pham S, Prjibelski AD, et al. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 19(5):455–477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Boetzer M, Henkel CV, Jansen HJ, Butler D, Pirovano W.. 2011. Scaffolding pre-assembled contigs using SSPACE. Bioinformatics. 27(4):578–579. [DOI] [PubMed] [Google Scholar]
  3. Boetzer M, Pirovano W.. 2012. Toward almost closed genomes with GapFiller. Genome Biol. 13(6):R56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Dierckxsens N, Mardulyn P, Smits G.. 2017. NOVOPlasty: de novo assembly of organelle genomes from whole genome data. Nucleic Acids Res. 45(4):e18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, Hauser LJ.. 2010. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics. 11:119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Jin DP, Lee JH, Xu B, Choi BH.. 2016. Phylogeography of East Asian Lespedeza buergeri (Fabaceae) based on chloroplast and nuclear ribosomal DNA sequence variations. J Plant Res. 129(5):793–805. [DOI] [PubMed] [Google Scholar]
  7. Katoh K, Standley DM.. 2013. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 30(4):772–780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Kumar S, Stecher G, Li M, Knyaz C, Tamura K.. 2018. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 35(6):1547–1549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Kumar S, Stecher G, Tamura K.. 2016. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 33(7):1870–1874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Stamatakis A, Hoover P, Rougemont J.. 2008. A rapid bootstrap algorithm for the RAxML web servers. Syst Biol. 57(5):758–771. [DOI] [PubMed] [Google Scholar]
  11. Sun Y, Zhang J, Yang ZH.. 2021. Research progress on ecological value and application of Lespedeza plants. Horticult Seed. 41(08):38–40. [Google Scholar]
  12. Zerbino DR, Birney E.. 2008. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18(5):821–829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Zhang S, Gao HR, Lv JL, Han H, Zhang MQ, Wang XL.. 2021. Potential distribution prediction and suitability analysis of Lespedeza bicolor in Sanjiang Plain. Anhui Agri Sci Bull. 27(16):83–85 + 131. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

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 OM214533. The other data such as associated BioProject, SRA and Bio-Sample numbers are PRJNA797562, SRR17633451, and SAMN25013315, respectively.


Articles from Mitochondrial DNA. Part B, Resources are provided here courtesy of Taylor & Francis

RESOURCES