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Mitochondrial DNA. Part B, Resources logoLink to Mitochondrial DNA. Part B, Resources
. 2024 Dec 21;10(1):21–25. doi: 10.1080/23802359.2024.2444611

The complete mitochondrial genome of an important medicinal plant, Rehmannia glutinosa (Gaertn.) DC., 1845 (Lamiales, Orobanchaceae)

Yu Bai a, Huan An b, Rengang Zhang c, Yanna Ma d, Hongjia Zhang e,f, Zhili Guo a, Li Zhao g,, Zhaoxuan Wang b,
PMCID: PMC11703138  PMID: 39776565

Abstract

Rehmannia glutinosa, an extensively utilized Chinese herbal medicine, is highly valued for its medicinal properties. In this study, the complete mitochondrial genome (mitogenome) of R. glutinosa was sequenced and assembled for the first time. The mitogenome is 547,032 bp in length, with an overall GC content of 44.97%. The mitogenome contains 67 unique genes, comprising 43 protein-coding, three rRNA, and 21 tRNA genes, with six protein-coding and nine tRNA genes being chloroplast-derived. The phylogenetic analysis, based on the maximum-likelihood criterion, demonstrated that R. glutinosa is closely related to Aeginetia indica and Castilleja paramensis within the family Orobanchaceae.

Keywords: Mitogenome, phylogeny, Rehmannia glutinosa

Introduction

Rehmannia glutinosa (Gaertn.) DC., 1845 (Chinese foxglove) is a perennial herb with an exceptionally high medicinal value in traditional Chinese medicine. It is widely distributed and has been utilized as a folk medicine in China for thousands of years (Zhang et al. 2008). Modern pharmacological studies have demonstrated that R. glutinosa and its active principles possess wide pharmacological actions (anti-tumor and anti-senescence properties, etc.) on the blood system, immune system, endocrine system, cardiovascular system, and nervous system (Zhang et al. 2008). Moreover, R. glutinosa is a non-parasitic plant belonging to the family Orobanchaceae encompassing a full range of trophic specialization, including non-parasitic, hemiparasitic, and holoparasitic lineages (Li et al. 2019). Consequently, elucidating the phylogenetic position of R. glutinosa within the Orobanchaceae and exploring its genetic relationships with other members of this family is crucial for advancing our understanding of the evolutionary dynamics within this taxonomic group. The outcomes of this study are expected to have substantial implications for the molecular systematics of R. glutinosa, conservation of genetic diversity, and the rational utilization of medicinal plant resources within this genus.

Materials and methods

The sample of R. glutinosa was collected from Yuanshi County, Shijiazhuang City, Hebei Province, China (N 37.73°, E 114.51°) (Figure 1, Figure S1). A specimen was deposited at the Herbarium (PE), Institute of Botany, Chinese Academy of Sciences (http://pe.ibcas.ac.cn/, Zhirong Yang and zry@ibcas.ac.cn) under the voucher number WCX001.

Figure 1.

Figure 1.

Morphology characteristics of R. glutinosa during flowering. (a) Basal leaves are usually rosulate. Stem leaves gradually decrease in size or are reduced to bracts upwards; leaf blades are ovate to narrowly elliptic; margins are irregularly crenate or obtusely serrate to toothed. Flowers are axillary or in terminal racemes. Pedicels are slender and ascending. (b) The fresh roots of R. glutinosa are yellow and can be used in traditional Chinese medicine. Photographs of R. glutinosa were taken by Huan An in Yuanshi County, Hebei Province, China (N 37.73°, E 114.51°).

Genomic DNA was extracted from leaf materials using a modified CTAB method and the quality was assessed using the Qubit 2.0 system. A short-insert pair-end (2 × 150 bp) library was constructed using Illumina TruSeq DNA sample prep kit and sequenced on an Illumina HiSeq X Ten platform (Illumina Inc., San Diego, CA). The reads were filtered using Fastp software (Chen et al. 2018). The mitochondrial genome was assembled de novo using GetOrganelle v1.6.2e (Jin et al. 2020). For assembly validation, Oxford Nanopore Technologies (ONT) long reads were sequenced additionally and mapped to the assembly with minimap2 (Li 2018), and then the alignments were manually checked with the Integrative Genomics Viewer (Robinson et al. 2011). Native mitochondrial and chloroplast-derived genes were annotated using the OGAP (https://github.com/zhangrengang/OGAP) pipeline. The gene annotations were refined manually using Exonerate (Slater and Birney 2005). The gene map was constructed using the OGDRAW web server (https://chlorobox.mpimp-golm.mpg.de/OGDraw.html) (Greiner et al. 2019). Additionally, the entire R. glutinosa mitochondrial genome sequence was submitted to GenBank.

To ascertain the phylogenetic position of R. glutinosa, the complete mitochondrial genomes of other strains/species in the Lamiales were obtained from GenBank. A total of 37 mitochondrial protein-coding genes were subjected to alignment with MAFFT (Katoh and Standley 2013) and the multiple alignments were trimmed by TrimAl (Capella-Gutiérrez et al. 2009) with a parameter of ‘-automated1’. These trimmed alignments of each gene were concatenated into a single alignment of 28,125 bp. This alignment was used to construct a phylogenetic tree using on the maximum-likelihood (ML) criterion using IQ-TREE (Nguyen et al. 2015), with the best-fit model of GTR + F + R3 and bootstrapping with 1000 replicates (Hoang et al. 2018). Solanum lycopersicum was used as an outgroup.

Results

The complete mitogenome of R. glutinosa (GenBank accession no. OM397952) is a single circular molecule, with a size of 547,032 bp (Figure 2; Figure S2). The overall GC content is 44.97%. Seven chloroplast-derived segments disperses in the mitogenome, with lengths ranging from 128 to 4403 bp and a total length of 10,477 bp. The mitogenome contains 67 unique genes, including 37 native mitochondrial and six chloroplast-derived protein-coding genes, 12 native mitochondrial and nine chloroplast-derived tRNAs, and three rRNAs. Additionally, there are eight cis-splicing genes (nad4, rps3, rps10, cox1, ccmFC, ndhB, cox2, and nad7) and three trans-splicing genes (nad1, nad2, and nad5) (Figures S3 and S4).

Figure 2.

Figure 2.

The gene map for the complete mitochondrial genome of R. glutinosa. Genes in the inner circle are transcribed clockwise, while those in the outer circle are transcribed counterclockwise. Different functional groups of genes are color coded. Darker gray shading represents DNA G + C content, while the lighter gray corresponds to A + T content. The functional classification appears in the bottom left corner.

The phylogenetic analysis reveals that R. glutinosa is closely related to A. indica and C. paramensis, forming a monophyletic clade indicative of the family Orobanchaceae (Figure 3). The analysis demonstrated the family Orobanchaceae is sister to the family Phrymaceae, and the clade of Orobanchaceae + Phrymaceae is sister to the family Lamiaceae. It is inconsistent with a previous mitogenome-based study where the Orobanchaceae was sister to the Lamiaceae (Wang and Zhang 2021). The phylogenetic incongruence could result from the increased taxon sampling or possible incomplete lineage sorting. However, the other phylogenetic relationships within the order Lamiales are consistent with the previous study (Wang and Zhang 2021), such as the position of the family Oleaceae.

Figure 3.

Figure 3.

Phylogenetic tree includes R. glutinosa and its 23 relatives, highlighting the position of R. glutinosa (OM397952) in bold. A maximum-likelihood method was used to conduct the tree from a concatenated alignment of 37 mitochondrial protein-coding genes using GTR + F + R3 model with 1000 bootstrap replicates. The following sequences were used: Rehmannia glutinosa ON951335–ON951336 (Zeng et al. 2024), Rehmannia glutinosa NC_086689, Olea europaea MG372119 (Van de Paer et al. 2018), Chionanthus rupicola MG372115 (Van de Paer et al. 2018), Osmanthus fragrans MW645067 (Wang and Zhang 2021), Hesperelaea palmeri NC_031323 (Van de Paer et al. 2016), Ligustrum quihoui MN723864, Aeginetia indica MW851294 (Choi and Park 2021), Castilleja paramensis NC_031806, Mimulus guttatus NC_018041 (Mower et al. 2012), Scutellaria tsinyunensis MW553042 (Li et al. 2021), Pogostemon heyneanus MK728874, Rotheca serrata NC_049064, Ajuga reptans NC_023103 (Zhu et al. 2014), Salvia miltiorrhiza NC_023209, Salvia splendens PNBA02000024 (Jia et al. 2021), Utricularia reniformis NC_034982 (Silva et al. 2017), Buddleja alternifolia WHWC01000021 (Ma et al. 2021), Avicennia marina JACDXK010000034, Dolichandrone cauda-felina MW432178, Aragoa cleefii OK514182 (Mower et al. 2021), Aragoa abietina OK514181 (Mower et al. 2021), Haberlea rhodopensis MH757117, Boea hygrometrica NC_016741 (Zhang et al. 2011), and Solanum lycopersicum NC_035963. Solanum lycopersicum (Solanales) was set as the outgroup. The branches of Ajuga reptans and Utricularia reniformis were truncated since they were too long. Bootstrap support percent values are given at the nodes. Bar, 0.005 substitutions per site.

Discussion and conclusions

This research offers an analysis of the R. glutinosa mitochondrial genome. The phylogenetic analysis reveals that R. glutinosa is closely related to A. indica and C. paramensis. The mitochondrial genome size of R. glutinosa was 547,032 bp, larger than those of C. paramensis (495,499 bp) and A. indica (401,628 bp). This total size of chloroplast-derived segments in R. glutinosa mitogenome was 10,477 bp, smaller than that in C. paramensis (79,336 bp) (Fan et al. 2016) but larger than that in A. indica (1205 bp) (Choi and Park 2021). Compared to the non-parasitic R. glutinosa, two genes (sdh4 and rpl2) in hemiparasitic C. paramensis are pseudogenized as determined previously (Fan et al. 2016) and three genes (sdh3, sdh4, and rps7) in holoparasitic A. indica are lost (Choi and Park 2021). It is worth noting that the sdh4 became nonfunctional in both hemiparasitic plant C. paramensis and holoparasitic plant A. indica (Fan et al. 2016; Choi and Park 2021), while R. glutinosa, a non-parasitic plant, does not show this phenomenon. Whether the mitogenomic degradations of C. paramensis and A. indica are associated with their parasitic lifestyles remains to be further studied.

In NCBI, there are two additional complete mitochondrial genomes of R. glutinosa: ON951335–ON951336 (Zeng et al. 2024) and NC_086689 (Unpublished). Through a simple comparison, we found that the mitogenome ON951335.–ON951336 consists of two chromosomes, with a total size of 545,523 bp (chromosome 1: 497,303 bp, chromosome 2: 48,220 bp). However, the complete mitogenome of R. glutinosa in this study (GenBank accession no. OM397952) is a single circular molecule, with a larger size of 547,032 bp, which is also 1703 bp longer than that of NC_086689 (545,329 bp). Furthermore, the submission and release of the mitochondrial sequences in our study predated the other two genomes in GenBank.

The study of plant mitochondrial genomes facilitates the development of targeted strategies for plant improvement. Our findings provide clues for molecular breeding efforts for R. glutinosa and other plant species. Furthermore, this analysis of the organelle genomes advances our understanding of the Orobanchaceae mitogenome structure and evolution.

Supplementary Material

(The clean copy)The complete mitochondrial genome of an important medicinal plant Rehmannia glutinosa.docx
TMDN_A_2444611_SM2893.docx (621.8KB, docx)
(The clean copy)Supplementary Figures.docx
(The clen copy)Figure.docx

Funding Statement

No funding was received.

Ethical statement

Permission was granted by Shijiazhuang People’s Medical College to carry out research on the species and there was no endangered or protected species involved in this study. The sample was collected legally following guidelines provided by the authors’ institution and national or international regulations.

Author contributions

Zhaoxuan Wang, Li Zhao and Yu Bai were contributed to the conception and design; Yu Bai, Zhaoxuan Wang, Huan An, Rengang Zhang, Yanna Ma, Hongjia Zhang and Zhili Guo were responsible for collecting the samples and analyzing and interpreting the data; Yu Bai, Zhaoxuan Wang and Li Zhao were involved in drafting of the manuscript, revising it critically for intellectual content, and the final approval of the version to be published; and all authors agree to be accountable for all aspects of the work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The genome sequence data that support the findings of this study are openly available in GenBank of NCBI at https://www.ncbi.nlm.nih.gov/ under the accession no. OM397952. The associated BioProject, SRA, and BioSample numbers are PRJNA804417, SRR17933274 and SRR21395913, and SAMN25749585, respectively.

References

  1. Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T.. 2009. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 25(15):1972–1973. doi: 10.1093/bioinformatics/btp348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Chen S, Zhou Y, Chen Y, Gu J.. 2018. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 34(17):i884–i890. doi: 10.1093/bioinformatics/bty560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Choi KS, Park S.. 2021. Complete plastid and mitochondrial genomes of Aeginetia indica reveal intracellular gene transfer (IGT), horizontal gene transfer (HGT), and cytoplasmic male sterility (CMS). Int J Mol Sci. 22(11):6143. doi: 10.3390/ijms22116143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Fan W, , Zhu A, , Kozaczek M, , Shah N, , Pabón-Mora N, , González F, , Mower JP. 2016. Limited mitogenomic degradation in response to a parasitic lifestyle in Orobanchaceae. Sci Rep. 6(1):36285. doi: 10.1038/srep36285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Greiner S, , Lehwark P, , Bock R. 2019. OrganellarGenomeDRAW (OGDRAW) version 1.3.1: expanded toolkit for the graphical visualization of organellar genomes. Nucleic Acids Research. 47(W1):W59–W64. doi: 10.1093/nar/gkz238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Hoang DT, Chernomor O, von Haeseler A, Minh BQ, Vinh LS.. 2018. UFBoot2: improving the ultrafast bootstrap approximation. Mol Biol Evol. 35(2):518–522. doi: 10.1093/molbev/msx281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Jia KH, Liu H, Zhang RG, Xu J, Zhou SS, Jiao SQ, Yan XM, Tian XC, Shi TL, Luo H, et al. 2021. Chromosome-scale assembly and evolution of the tetraploid Salvia splendens (Lamiaceae) genome. Hortic Res. 8(1):177. doi: 10.1038/s41438-021-00614-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Jin J-J, , Yu W-B, , Yang J-B, , Song Yu, , dePamphilis CW, , Yi T-S, , Li D-Z. 2020. GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes. Genome Biol. 21(1):241. doi: 10.1186/s13059-020-02154-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. 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: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Li H. 2018. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics. 34(18):3094–3100. doi: 10.1093/bioinformatics/bty191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Li J, Xu Y, Shan Y, Pei X, Yong S, Liu C, Yu J.. 2021. Assembly of the complete mitochondrial genome of an endemic plant, Scutellaria tsinyunensis, revealed the existence of two conformations generated by a repeat-mediated recombination. Planta. 254(2):36. doi: 10.1007/s00425-021-03684-3. [DOI] [PubMed] [Google Scholar]
  12. Li X, Feng T, Randle C, Schneeweiss GM.. 2019. Phylogenetic relationships in Orobanchaceae inferred from low-copy nuclear genes: consolidation of major clades and identification of a novel position of the non-photosynthetic Orobanche clade sister to all other parasitic Orobanchaceae. Front Plant Sci. 10:902. doi: 10.3389/fpls.2019.00902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Ma YP, Wariss HM, Liao RL, Zhang RG, Yun QZ, Olmstead RG, Chau JH, Milne RI, Van de Peer Y, Sun WB.. 2021. Genome-wide analysis of butterfly bush (Buddleja alternifolia) in three uplands provides insights into biogeography, demography and speciation. New Phytol. 232(3):1463–1476. doi: 10.1111/nph.17637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Mower JP, Case AL, Floro ER, Willis JH.. 2012. Evidence against equimolarity of large repeat arrangements and a predominant master circle structure of the mitochondrial genome from a monkeyflower (Mimulus guttatus) lineage with cryptic CMS. Genome Biol Evol. 4(5):670–686. doi: 10.1093/gbe/evs042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Mower JP, Hanley L, Wolff K, Pabón-Mora N, González F.. 2021. Complete mitogenomes of two Aragoa species and phylogeny of Plantagineae (Plantaginaceae, Lamiales) using mitochondrial genes and the nuclear ribosomal RNA repeat. Plants. 10(12):2673. doi: 10.3390/plants10122673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ.. 2015. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 32(1):268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Robinson JT, Thorvaldsdóttir H, Winckler W, Guttman M, Lander ES, Getz G, Mesirov JP.. 2011. Integrative genomics viewer. Nat Biotechnol. 29(1):24–26. doi: 10.1038/nbt.1754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Silva SR, Alvarenga DO, Aranguren Y, Penha HA, Fernandes CC, Pinheiro DG, Oliveira MT, Michael TP, Miranda VFO, Varani AM.. 2017. The mitochondrial genome of the terrestrial carnivorous plant Utricularia reniformis (Lentibulariaceae): structure, comparative analysis and evolutionary landmarks. PLOS One. 12(7):e0180484. doi: 10.1371/journal.pone.0180484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Slater GS, Birney E.. 2005. Automated generation of heuristics for biological sequence comparison. BMC Bioinformatics. 6(1):31. doi: 10.1186/1471-2105-6-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Van de Paer C, Bouchez O, Besnard G.. 2018. Prospects on the evolutionary mitogenomics of plants: a case study on the olive family (Oleaceae). Mol Ecol Resour. 18(3):407–423. doi: 10.1111/1755-0998.12742. [DOI] [PubMed] [Google Scholar]
  21. Van de Paer C, Hong-Wa C, Jeziorski C, Besnard G.. 2016. Mitogenomics of Hesperelaea, an extinct genus of Oleaceae. Gene. 594(2):197–202. doi: 10.1016/j.gene.2016.09.007. [DOI] [PubMed] [Google Scholar]
  22. Wang Z, Zhang R.. 2021. The complete mitochondrial genome of Osmanthus fragrans (Lamiales, Oleaceae) from China. Mitochondrial DNA B Resour. 6(7):2056–2057. doi: 10.1080/23802359.2021.1942265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Zeng T, Ni Y, Li J, Chen H, Lu Q, Jiang M, Xu L, Liu C, Xiao P.. 2024. Comprehensive analysis of the mitochondrial genome of Rehmannia glutinosa: insights into repeat-mediated recombinations and RNA editing-induced stop codon acquisition. Front Plant Sci. 15:1326387. doi: 10.3389/fpls.2024.1326387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Zhang RX, Li MX, Jia ZP.. 2008. Rehmannia glutinosa: review of botany, chemistry and pharmacology. J Ethnopharmacol. 117(2):199–214. doi: 10.1016/j.jep.2008.02.018. [DOI] [PubMed] [Google Scholar]
  25. Zhang T, Zhang X, Hu S, Yu J.. 2011. An efficient procedure for plant organellar genome assembly, based on whole genome data from the 454 GS FLX sequencing platform. Plant Methods. 7(1):38. doi: 10.1186/1746-4811-7-38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Zhu A, Guo W, Jain K, Mower JP.. 2014. Unprecedented heterogeneity in the synonymous substitution rate within a plant genome. Mol Biol Evol. 31(5):1228–1236. doi: 10.1093/molbev/msu079. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

(The clean copy)The complete mitochondrial genome of an important medicinal plant Rehmannia glutinosa.docx
TMDN_A_2444611_SM2893.docx (621.8KB, docx)
(The clean copy)Supplementary Figures.docx
(The clen copy)Figure.docx

Data Availability Statement

The genome sequence data that support the findings of this study are openly available in GenBank of NCBI at https://www.ncbi.nlm.nih.gov/ under the accession no. OM397952. The associated BioProject, SRA, and BioSample numbers are PRJNA804417, SRR17933274 and SRR21395913, and SAMN25749585, respectively.


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