Skip to main content

Chloroplast genome of Calamus tetradactylus revealed rattan phylogeny

Abstract

Background

Calamus tetradactylus, a species primarily distributed in Vietnam, Laos, and southern China, is highly valued for its utilization as a small-diameter rattan material. While its physical and mechanical properties have been extensively studied, the genomic characteristics of C. tetradactylus remain largely unexplored.

Results

To gain a better understanding of its chloroplast genomic features and evolutionary relationships, we conducted sequencing and assembly of the chloroplast genome of C. tetradactylus. The complete chloroplast genome exhibited the typical highly conserved quartile structure, with specific variable regions identified in the single-copy region (like psbF-psbE, π = 0.10327, ndhF-rpl32, π = 0.10195), as well as genes such as trnT-GGU (π = 0.05764) and ycf1 (π = 0.03345) and others. We propose that these regions and genes hold potential as markers for species identification. Furthermore, phylogenetic analysis revealed that C. tetradactylus formed a distinct clade within the phylogenetic tree, alongside other Calamus species, and C. tetradactylus was most closely related to C. walkeri, providing support for the monophyly of the genus.

Conclusion

The analysis of the chloroplast genome conducted in this study provides valuable insights that can contribute to the improvement of rattan breeding programs and facilitate sustainable development in the future.

Peer Review reports

Introduction

Chloroplasts in plants result from cyanobacteria and eukaryotic cell symbiosis, converting light energy through photosynthesis. Angiosperms have circular chloroplast genomes containing essential genes for growth. Maternally inherited chloroplast genome has a smaller size and conserved features, facilitating the study of phylogenetics and molecular evolution. Rattan is a climbing plants belonging to the Calamoideae of the Arecaceae family, predominantly found in tropical rainforests [1, 2]. The genus Calamus, the largest within Arecaceae, includes approximately 400 species prominently distributed across the Asia-Pacific region [3]. Rattan cane, a non-timber forest produce, is widely utilized in the production of a variety of craft products and furniture [4]. While there has been extensive research on the physical and mechanical properties of rattan species in Southeast Asia since the 1860s [5,6,7], studies in the field of molecular genetics have been limited. Therefore, genomic information is crucial for improving phylogenetic inference for revealing evolutionary history and genetic relationships. In this study, we applied sequencing technologies to study rattan species of chloroplast genome.

Calamus tetradactylus, a slender rattan species, is mainly found in areas north of 23°30′ N, including Guangdong, Guangxi, Fujian, and Hainan, within the Calamus genus of the Arecaceae family [8]. C. tetradactylus grows over 30 m in height, and it is known for its exceptional quality mechanical strength, making it as one of the most significant commercial rattans [9]. Previous research on C. tetradactylus has primarily focused on optimizing the conditions for cultivation but with limited importance given to molecular characterization. Yao et al. [8] analyzed the phylogenetic relationships of around 180 Arecaceae species using chloroplast genomes. However, it did not reveal any differences between the chloroplast genomes of C. tetradactylus and other closely related species in addition to lack of its evolutionary position within the plant kingdom. This study aims to elucidate the characteristics of the chloroplast genome in C. tetradactylus and highlight its distinctions from other species to provide insights into its taxonomic status within the plant kingdom based on the chloroplast genome.

Results

Features of the chloroplast genomes in C. tetradactylus

Complete genome of chloroplast genome of C. tetradactylus was obtained through sequencing and assembly. It has a length of 157,998 bp with a typical quadripartite structure (Fig. 1). The genome consists of an 85,760 bp Large Single-Copy (LSC) region, a 17,602 bp Short Single-Copy (SSC) region, and two Inverted Repeat (IR) regions (IRa and IRb) spanning 27,318 bp length. The overall GC content is 37.24%. The LSC, SSC and IR regions has a GC content of 35.25, 31.23, and 42.30% respectively. The C. tetradactylus chloroplast genome encodes a total of 132 genes, including 86 protein-coding genes (CDS), 38 transfer RNA genes (tRNA), and eight ribosomal RNA genes (rRNA). The LSC region contains 60 CDS and 21 tRNA genes, while the SSC region contains 12 CDS and a unique tRNA gene (trnL-UAG) (Table 1). Duplicated genes in the IR regions include ndhB, rpl2, rpl23, rps7, rps12, rps19, and ycf2, and all four rRNA genes and eight of the 38 tRNA genes are duplicated in the IR regions (Table 2). Among the 132 genes, 21 contain introns, with 15 genes having one intron (atpF, rps16, rpoC1, rpl2, rpl16, petB, petD, ndhA, ndhB, trnA-UGC, trnG-UCC, trnI-GAU, trnK-UUU, trnL-UAA, trnV-UAC), and two genes containing two introns (ycf3 and clpP) (Supplemental Table 1).

Fig. 1
figure 1

Circular map of chloroplast genome of Calamus tetradactylus with annotated genes. The different functional genes groups are shown in different colors, which are shown on the bottom left. The genes transcribed in clockwise and counterclockwise are shown inside and outside of the external circle, respectively. The inner circle represents that the quadripartite structure contains two copies of the inverted repeat (IR) region (IRA and IRB), which separate large single copy (LSC) and small single copy (SSC) region. The dark gray color of inner circle shows the GC content, and AT content in light gray

Table 1 Chloroplast genome composition of C. tetradactylus
Table 2 Genes in the chloroplast genome of C. tetradactylus

Phylogeny revealed through chloroplast genome comparison

The chloroplast genome, one of the three genetic systems in green plants, has gained significant attention in evolutionary studies due to its maternal inheritance with relatively lower mutation rate. Chloroplast genome can yield more reliable results for determining phylogenetic relationships among green plants, thus complete chloroplast genomes hold great value in determining the phylogenetic relationships among closely related taxa and enhancing our understanding of genetic evolution of plant species. Thus, we conducted a detailed study that involved the selection of 41 diverse plant species representing major clades of land plants (Fig. 2). This study also aimed to construct a highly informative phylogenetic tree based on the meticulous analysis of chloroplast gene sequences. To achieve this, we incorporated a wide range of taxa, consisting of one representative from Gymnospermae, two from ANA grade, one from Magnoliids, 10 from Eudicots, and 27 species from Monocots. By including such a diverse array of taxa, we aimed to capture the full spectrum of plant diversity to understand the evolutionary relationships within and between different clades. The resulting phylogenetic tree revealed a remarkable pattern of distinct clades, each representing a unique evolutionary lineage. Notably, the prominent Arecaceae family was found to be clustered within the Monocots clade. Delving deeper into the Arecaceae clade, we observed the formation of two separate clades, one of which included Calameae and other tribes. Our analysis supported the hypothesis that C. tetradactylus shares a close evolutionary relationship with other monocots. In fact, our phylogenetic tree unequivocally positioned C. tetradactylus as a sister species to the rest of the monocots, reinforcing the notion of shared ancestry and providing compelling evidence for its placement within the broader monocot lineage (Fig. 2). These results are generally consistent with the previous study [8].

Fig. 2
figure 2

Phylogenetic tree based on the chloroplast gene sequences of 42 plant species. The species with red star marks are selected for the comparison of IR/SC boundary regions in Fig. 3. The genbank accession number are listed in Supplemental Table 3

In addition, our phylogenetic tree includes four species from the Calaminae subfamily, allowing us to uncover their close relationship and identify C. tetradactylus as the species most closely related to C. walkeri (Fig. 2). This finding aligns with the results obtained from morphological classification [10]. Notably, we observed differences in the ycf1 gene within the JSB region between C. tetradactylus and Elaeis guineensis, reflecting their evolutionary divergence (Fig. 3). Furthermore, variations in the rps3 gene within the LSC region and the rps19 gene at the IR-LSC boundary revealed the genetic relationship between C. tetradactylus, Trachycarpus martianus, and Chuniophoenix suoitienensis. These findings lay the foundation for further investigations into the intriguing evolutionary history of plants and provide valuable insights into the genetic diversity and adaptation of C. tetradactylus and other related monocot species.

Fig. 3
figure 3

The comparison of IR/SC boundary regions of chloroplast genomes. The thin vertical lines represent the junction of each region, and the map displays information about the genes near the junction. LSC, Large single copy; SSC, Small single copy; IRa and IRb, inverted repeats. JLB, junction between LSC and IRb; JSB, junction between SSC and IRb; JSA, junction between SSC and IRa; JLA, junction between LSC and IRa

Comparison of C. tetradactylus chloroplast genome

The chloroplast genome of C. tetradactylus exhibits a typical quadripartite structure with four borders, including the JLB and JLA, which is the junction between LSC and IRb or IRa, the JSB and JSA, which is the junction between SSC and IRb or IRa. In our study, we compared the conserved regions of the chloroplast genome of C. tetradactylus with eight other species, including four species of Arecaceae, three species of Poaceae, and Arabidopsis thaliana (Fig. 3). Compared to the other species, the chloroplast genome of C. tetradactylus is similar to that of the four Arecaceae species, but larger than that of Poaceae species (Hordeum vulgare, Oryza sativa, Zea mays) and A. thaliana. Notably, the LSC region of C. tetradactylus, with a length of 85,760 bp, is longer than that of most other plants with a sequence length (80,592 bp ~ 85,556 bp), except for T. martianus (86,627 bp). Additionally, the IR regions of C. tetradactylus have greater length of 27,318 bp compared to the other eight species. The SSC region of C. tetradactylus, with 17,602 bp, is smaller than that of E. guineensis (17,639 bp) and A. thaliana (17,780 bp), but longer than that of the other six species. The gene content and arrangement in the Arecaceae species are similar across the four regions. The LSC region contains the rpl22 and psbA genes, while the rps19 and rpl2 genes are distributed in the IR region. The JSB and JSA regions are spanned by the ndhF and ycf1 genes, respectively, and their lengths reflect variations in these regions. In comparison, the rps19 gene of H. vulgare is in the LSC region, but in A. thaliana, it spans the JLB region. The ndhF genes of H. vulgare and O. sativa are much smaller than those of C. tetradactylus and are only found in the SSC region. The locations of ndhA, ndhH, and rps15 genes in Poaceae species (H. vulgare, O. sativa, Z. mays) correspond to the position of the ycf1 gene in C. tetradactylus (Fig. 3). In summary, C. tetradactylus has a unique chloroplast genome with distinct borders and larger size compared to other species. It shares similarities with Arecaceae species but differs in gene locations and lengths.

Sequence variations in regions and genes

Although chloroplast genomes are generally conserved among different species, they generally exhibit sequence variations that may hold a variety of biological significances [11]. These variations are effectively utilized as genetic markers to distinguish between different species [12, 13]. Thus we compared the C. tetradactylus chloroplast genome to those of the related species to identify the sequence variations. The chloroplast genomes of 18 Arecaceae species, including species from Calamoideae, Nypoideae, Coryphoideae, and Elaeidinae subfamilies, were compared with the C. tetradactylus chloroplast genome as the reference (Fig. 4). While we observed only a few minor variations in the coding sequences (i.e., accD, ycf2 and ycf1), a substantial number of divergences were detected in the conserved non-coding sequence (CNS) regions. Interestingly, the IR region exhibited the lowest degree of variation, indicating its high evolutionary conservation. In contrast, the LSC region displayed the highest variation across the chloroplast genome suggesting it to be more dynamic. Among the different gene types, tRNA/rRNA genes were found to be the most conserved, as no significant variations were observed (Fig. 4). To measure the variation of nucleotide sequences among different species, we calculated the nucleotide diversity (π) values (Fig. 5). Highly variable regions can serve as potential DNA markers for population genetics studies. In a global comparison of homologous genes from different species, we found that the nucleotide diversity in the LSC and SSC regions was higher compared to the IR regions. Specifically, the trnT-GGU gene in the LSC region exhibited the highest diversity, with a maximum π value of 0.0575 (Fig. 5A). The trnT-GGU gene with high diversity was also found in Geraniaceae, which may be related to pseudogenization associated with an insertion event in the 5′ acceptor stem [14]. In the SSC region, the ycf1 gene displayed the largest diversity, with a π value of 0.0335 (Fig. 5A). The section of ycf1 in the SSC region has been predicted to have high nucleotide diversity and has been used in molecular systematics at the species level in angiosperm [15, 16].

Fig. 4
figure 4

Visualized alignment of the C. tetradactylus chloroplast genome sequences with annotations using mVISTA. Each horizontal lane displays the percent of conservation identify with C. tetradactylus as reference. The x-axis represents the aligned base sequences, and y-axis represents percent pairwise identity within 50–100%

Fig. 5
figure 5

The nucleotide diversity (Ï€) values of chloroplast genome. A The Pi value of different genes in LSC, SSC and IR regions. B The Pi value of non-coding region. The x-axis represents the name of gene (A) or non-coding region (B). The y-axis represents the value of Pi

Furthermore, through alignment of the non-coding regions, we identified 12 highly variant regions (π > 0.05) that were identified as the main divergent regions (Fig. 5B). These regions include rpl22-rps19, psbF-psbE, ndhF-rpl32, psbC-trnS-UGA, rpoA-rps11, psbI-trnS-GCU, ndhG-ndhI, rps15-ycf1, atpA-atpF-2, trnR-UCU-atpA, trnL-UAG-ccsA, and rps16–1-trnQ-UUG. Detailed information can be found in Supplemental Table 2. Highly variable loci as SNPs in the chloroplast genome can be used as DNA barcodes for identifying plants. The comparison of the whole chloroplast genome among Bambusa species has found that the rpl16 gene and psbA-trnH region could be used to identify Bambusa subgenera [17]. DNA derived from the chloroplast genome can be used to identify similar species and is also valuable to enhance the transfer of useful traits [18]. In our study, the previously mentioned nine highly variable genes could be used as potential DNA markers for taxonomic studies of Calamus.

The ndh genes, which encode subunits of NADH dehydrogenase involved in photosynthesis, play a crucial role in chloroplast function. These ndh proteins assemble into the photosystem I complex, facilitating electron transport within chloroplasts and promoting chlorophyll respiration. In our study, we identified three highly variable ndh genes (ndhf, ndhG, and ndhD) with π values exceeding 0.15 (Supplemental Table 2). It is worth noting that the composition of chloroplast ndh genes can differ among autotrophic plants, impacting their function [19,20,21,22,23]. Additionally, we observed significant variability in certain genes within the rpl gene family (rpl32, rpl22, rpl16, and rpl33) and rps gene family (rps15, rps11, rps3, rps8, and rps14) (Supplemental Table 2). These highly variable sequences can serve as DNA markers for genetic diversity analysis and provide essential DNA barcoding information for species identification. Overall, our findings revealed high levels of genetic diversity and evolutionary dynamics of Arecaceae species, particularly among ndh gene family, as well as certain genes within the rpl and rps gene families.

Discussion

The chloroplast genome structure, length, and gene content are typical and highly conserved among most terrestrial plants. In our study, we successfully assembled the complete chloroplast genome of C. tetradactylus, which spans 157.998 kb and closely resembles that of its closely related species, C. walkeri (Fig. 2). However, notable differences were observed between the chloroplast genome of C. tetradactylus and other selected species (Figs. 1 and 3). A previous study on five Epimedium species also reported variations in chloroplast genome length among species, attributing these differences could be due to contraction and expansion of genes at the boundaries of the inverted repeat (IR) and small single-copy (SSC) regions [24]. Our findings also indicate that the primary reason for variation in length in the chloroplast genome is the contraction and extension of the IR-LSC and IR-SSC boundaries as reported in many angiosperms [25, 26]. Interestingly, despite C. tetradactylus and other Poaceae species (H. vulgare, O. sativa, and Z. mays) belonging to the Monocots group, significant differences in gene length, structure, and genotype were observed in both the junction of the small single-copy region and the junction of the inverted repeat region. The junction of the small single-copy region (JSA) exhibited greater variability, indicating the highest variation in genotype across the chloroplast genomes between C. tetradactylus and Poaceae species. The alterations in ndhF and ycf1 sequences may be attributed to the expansion and contraction of the junction of the small single-copy region and the junction of the inverted repeat region in plants, respectively (Fig. 3) [27, 28]. Using the complete chloroplast genome of C. tetradactylus that we assembled, we conducted an analysis to determine the phylogenetic relationships among closely related species of C. tetradactylus (Figs. 4 and 5). In particularly, we identified specific regions and genes, such as ycf1, rps3, and rps19, that are associated with species divergence. We propose that these regions and genes be further utilized for more detailed phylogenetic analysis, among closely related species and also within populations of a single species. While the current chloroplast genome provides valuable genetic resources for understanding the ecologically and economically important C. tetradactylus species, future studies focusing on establishing the complete nuclear genome would greatly enhance our understanding, applications, and advancements related to genetics and molecular breeding of C. tetradactylus.

Conclusions

In this study, we report the complete sequence, assembly, and annotation of the chloroplast genome of C. tetradactylus. Our study also reveals the complete chloroplast structure, sequence length variations of the inverted repeat (IR) boundary, single nucleotide polymorphism in addition to elucidation of phylogenetic relationships across the plant kingdom using representative species. Through genome annotation analysis, we confirmed that the chloroplast genome of C. tetradactylus follows the typical quadripartite structure as reported in other species. Additionally, we identified several variable regions that hold possible applications as molecular markers. The constructed phylogenetic tree, utilizing 41 chloroplast genomes, provided clear insights into the genetic and evolutionary relationships. Our findings are expected to contribute to future endeavors such as species identification, construction of evolutionary relationships, breeding programs, and sustainable development initiatives in genetic improvement of C. tetradactylus.

Materials and methods

Experimental materials and sequencing

C. tetradactylus plant is grown in the plantation of International Center for Bamboo and Rattan, located in Beijing. Fresh leaves, without signs of pests and disease, were collected and snap-frozen in liquid nitrogen, then stored at − 80 °C until DNA extraction. Total DNA was extracted by the modified CTAB method [29]. DNA quality was measured using a Nanodrop spectrophotometer, and DNA integrity was detected by agarose gel electrophoresis. This study utilized Single-Tube Long Fragment Reads (stLFR) technology to sequence the genome of C. tetradactylus [30]. The libraries of stLFR were constructed following the protocol of the MGIEasy stLFR Library Prep Kit (MGI, Shenzhen, China), and then sequenced on MGISEQ-2000 (MGI, Shenzhen, China) at the Beijing Genomics Institution (BGI, Shenzhen, China).

Chloroplast genome assembly and annotation

In order to acquire clean data, the raw data were then trimmed and filtered using SOAPnuke v2.0 with the parameters -q 33 -y -p -M 2 -f − 1 -Q 10 [31]. Then, the chloroplast DNA was assembled to a circular genome using the organelle genome assembly program GetOrganelle v1.7.7 with the parameters -R 15 -k 21, 45, 65, 85 -F embplant pt. [32]. Geneious v8.0.4 was used to manually edit the assembled genomes for sequence improvement [33], after the genomes were automatically annotated using the online program CPGAVAS2, the previous C. tetradactylus chloroplast genome (ON248740) was used as a reference sequence (http://47.96.249.172:16019/analyzer/annotate) [34]. The online program OGDRAW v1.3.1 (https://chlorobox.mpimp-golm.mpg.de/OGDraw.html) was used to create the chloroplast genome maps [35], and tRNAscan-SE 2.0 (http://lowelab.ucsc.edu/tRNAscan-SE/) was used to confirm the correctness of tRNA annotations with default search mode [36].

Phylogenetic analysis

We acquired 41 chloroplast genomes from NCBI in order to better comprehend the evolutionary structure of the C. tetradactylus (see Supplemental Table 3 for a detailed information list). This study included a total of 41 species, comprising 33 additional species and 8 species from the Calaminae family. The HomBlocks workflow was used to align the chloroplast genome sequences, and Maximum Likelihood (ML) were used for the phylogenomic study [37]. ModelFinder determined that GTR + F + I + I + R3 was the best-fit nucleotide substitution model [38]. IQ-TREE v2.0.5 was used to reconstruct the ML tree [39]. With 1000 ultrafast bootstrap repetitions, the ML tree’s branch support was evaluated. The online tools iTOL (https://itol.embl.de/) was used to visualize the phylogenetic relationships [40].

Sequence alignment analysis

To ascertain the genomic structure, gene content, genome size, and repeat variations, we compared eight species of Calaminae and 10 other species, including both monocots and dicots. First, the chloroplast genome sequences were aligned using the shuffle-LAGAN mode in mVISTA (https://genome.lbl.gov/vista/mvista/submit.shtml) [41], with C. tetradactylus as the reference. Subsequently, the LSC, SSC, and IR boundaries genes of the chloroplast genomes of two Calaminae species and six common monocot and dicot plant species were analyzed and visualized using IRscope software (https://irscope.shinyapps.io/irapp/) [42].

Sequence polymorphism analysis

In order to explore the extent of sequence variation in genes and intergenic regions, we compared sequence polymorphism of 18 species in Fig. 4. The sequences of genes and intergenic regions, and all homologous genes were extracted using Python scripts. Then the sequences of homologous genes from different species were aligned globally using Mafft (v7.505) by automatic mode [43]. Finally, the software DnaSP6 [44] was used to compare the aligned sequences for the calculation of nucleic acid diversity and to obtain the value of π.

Availability of data and materials

The datasets analyzed in this article are available in the GenBank of NCBI, and the complete chloroplast genome sequence of C. tetradactylus is deposited in CNGB Sequence Archive (CNSA) of China National GenBank DataBase (CNGBdb) with accession number CNA0072950. The other accession numbers for the remaining datasets analyzed in this study are listed in the Supplemental Table 3.

Abbreviations

kbp:

Kilo-base pairs

IR:

Inverted repeat regions

LSC:

Large single-copy region

SSC:

Small single-copy region

rRNAs:

Ribosomal RNAs

tRNAs:

Transfer RNAs

stLFR:

Single-Tube Long Fragment Reads

PE:

Paired-end

ML:

Maximum likelihood

CDS:

Protein-coding genes

JLB:

Junction between LSC and IRb

JSB:

Junction between SSC and IRb

JSA:

Junction between SSC and IRa

JLA:

Junction between LSC and IRa

CNS:

Conserved non-coding sequence

References

  1. Szczepanowska HM. Deconstructing rattan: morphology of biogenic silica in rattan and its impact on preservation of southeast Asian art and artifacts made of rattan. Stud Conserv. 2017;63(6):356–74.

    Article  Google Scholar 

  2. Baker WJ. A revised delimitation of the rattan genus Calamus (Arecaceae). Phytotaxa. 2015;197(2):139–52.

    Article  Google Scholar 

  3. Dransfield J, Uhl NW, Asmussen CB, Baker WJ, Harley MM, Lewis CE. Genera Palmarum—the evolution and classification of palms. Richmond: Royal Botanic Gardens, Kew; 2008. p. 732.

  4. Yang S, Xiang E, Shang L, Liu X, Tian G, Ma J. Comparison of physical and mechanical properties of four rattan species grown in China. J Wood Sci. 2020;66(1):3.

    Article  Google Scholar 

  5. Bhat KM, Verghese M. Anatomical basis for density and shrinkage behaviour of rattan stem. J Instit Wood Sci. 1991;12:123–30.

    Google Scholar 

  6. Wahab R, Sulaiman O, W.Samsi H. Basic density and strength properties of cultivated Calamus manan. J Bamboo Rattan. 2004;3:35–43.

    Article  Google Scholar 

  7. Akpenpuun TD, Adeniran KA, Okanlawon OM. Rattan cane reinforced concrete slab as a component for agricultural structures. Nigier J Pure Appl Sci. 2017;30(1):3007–13.

    Google Scholar 

  8. Yao G, Zhang YQ, Barrett G, Xue B, Bellot S, Baker WJ, et al. A plastid phylogenomic framework for the palm family (Arecaceae). BMC Biol. 2023;21(1):50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Rowe N, Isnard S, Speck T. Diversity of mechanical architectures in climbing plants: an evolutionary perspective. J Plant Growth Regul. 2004;23(2):108–28.

    Article  CAS  Google Scholar 

  10. Guo L, Wei Z. Leaf epidermis morphology of the genus Calamus L. from China. J Trop Subtrop Botan. 2005;13(4):277–84.

    Google Scholar 

  11. Daniell H, Lee SB, Grevich J, Saski C, Quesada-Vargas T, Guda C, et al. Complete chloroplast genome sequences of Solanum bulbocastanum, Solanum lycopersicum and comparative analyses with other Solanaceae genomes. Theor Appl Genet. 2006;112(8):1503–18.

    Article  CAS  PubMed  Google Scholar 

  12. Ma PF, Zhang YX, Zeng CX, Guo ZH, Li DZ. Chloroplast phylogenomic analyses resolve deep-level relationships of an intractable bamboo tribe Arundinarieae (poaceae). Syst Biol. 2014;63(6):933–50.

    Article  PubMed  Google Scholar 

  13. Wysocki WP, Lynn GC, Lakshmi A, Eduardo RS, Melvin RD. Evolution of the bamboos (Bambusoideae; Poaceae): a full plastome phylogenomic analysis. BMC Evol Biol. 2015;15(1):50.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Abdullah MF, Heidari P, Rahim A, Ahmed I, Poczai P. Pseudogenization of the chloroplast threonine (trnT-GGU) gene in the sunflower family (Asteraceae). Sci Rep. 2021;11(1):21122.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Dong W, Liu J, Yu J, Wang L, Zhou S. Highly variable chloroplast markers for evaluating plant phylogeny at low taxonomic levels and for DNA barcoding. PLoS One. 2012;7(4):e35071.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Dong W, Xu C, Li C, Sun J, Zuo Y, Shi S, et al. The most promising plastid DNA barcode of land plants. Sci Rep. 2015;5(1):8358.

    Google Scholar 

  17. Wang AK, Lu QF, Zhu ZX, Liu SH, Zhong H, Xiao ZZ, et al. Exploring phylogenetic relationships within the subgenera of Bambusa based on DNA barcodes and morphological characteristics. Sci Rep. 2022;12(1):8018.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Daniell H, Lin CS, Yu M, Chang WJ. Chloroplast genomes: diversity, evolution, and applications in genetic engineering. Genome Biol. 2016;17(1):134.

    Article  PubMed  PubMed Central  Google Scholar 

  19. McCoy SR, Kuehl JV, Boore JL, Raubeson LA. The complete plastid genome sequence of Welwitschia mirabilis: an unusually compact plastome with accelerated divergence rates. BMC Evol Biol. 2008;8(1):130.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Braukmann TW, Kuzmina M, Stefanović S. Loss of all plastid ndh genes in Gnetales and conifers: extent and evolutionary significance for the seed plant phylogeny. Curr Genet. 2009;55(3):323–37.

    Article  CAS  PubMed  Google Scholar 

  21. Wu FH, Chan MT, Liao DC, Hsu CT, Lee YW, Daniell H, et al. Complete chloroplast genome of Oncidium Gower Ramsey and evaluation of molecular markers for identification and breeding in Oncidiinae. BMC Plant Biol. 2010;10(1):68.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Yang JB, Tang M, Li HT, Zhang ZR, Li DZ. Complete chloroplast genome of the genus Cymbidium: lights into the species identification, phylogenetic implications and population genetic analyses. BMC Evol Biol. 2013;13(1):84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Sanderson MJ, Copetti D, Búrquez A, Bustamante E, Charboneau JL, Eguiarte LE, et al. Exceptional reduction of the plastid genome of saguaro cactus (Carnegiea gigantea): loss of the ndh gene suite and inverted repeat. Am J Bot. 2015;102(7):1115–27.

    Article  CAS  PubMed  Google Scholar 

  24. Zhang Y, Du L, Liu A, Chen J, Wu L, Hu W, et al. The complete chloroplast genome sequences of five Epimedium species: lights into phylogenetic and taxonomic analyses. Front Plant Sci. 2016;7:306.

    PubMed  PubMed Central  Google Scholar 

  25. Han H, Qiu R, Liu Y, Zhou X, Gao C, Pang Y, et al. Analysis of chloroplast genomes provides insights into the evolution of Agropyron. Front Genet. 2022;13:832809.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Yao X, Tang P, Li Z, Li D, Liu Y, Huang H. The first complete chloroplast genome sequences in Actinidiaceae: genome structure and comparative analysis. PLoS One. 2015;10(6):e0129347.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Wang W, Messing J. High-throughput sequencing of three Lemnoideae (duckweeds) chloroplast genomes from total DNA. PLoS One. 2011;6(9):e24670.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Xiong C, Huang Y, Li Z, Wu L, Liu Z, Zhu W, et al. Comparative chloroplast genomics reveals the phylogeny and the adaptive evolution of Begonia in China. BMC Genomics. 2023;24(1):648.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Doyle JJ. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem Bull. 1987;19:11–5.

    Google Scholar 

  30. Wang O, Chin R, Cheng X, Wu MKY, Mao Q, Tang J, et al. Efficient and unique cobarcoding of second-generation sequencing reads from long DNA molecules enabling cost-effective and accurate sequencing, haplotyping, and de novo assembly. Genome Res. 2019;29(5):798–808.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Chen Y, Chen Y, Shi C, Huang Z, Zhang Y, Li S, et al. SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data. GigaSci. 2017;7(1):1–6.

    Google Scholar 

  32. Jin JJ, Yu WB, Yang JB, Song Y, dePamphilis CW, Yi TS, et al. GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes. Genome Biol. 2020;21(1):241.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, et al. Geneious basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformat. 2012;28(12):1647–9.

    Article  Google Scholar 

  34. Shi L, Chen H, Jiang M, Wang L, Wu X, Huang L, et al. CPGAVAS2, an integrated plastome sequence annotator and analyzer. Nucleic Acids Res. 2019;47(W1):W65–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Greiner S, Lehwark P, Bock R. OrganellarGenomeDRAW (OGDRAW) version 1.3.1: expanded toolkit for the graphical visualization of organellar genomes. Nucleic Acids Res. 2019;47(W1):W59–64.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Chan PP, Lin BY, Mak AJ, Lowe TM. tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes. Nucleic Acids Res. 2021;49(16):9077–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Bi G, Mao Y, Xing Q, Cao M. HomBlocks: a multiple-alignment construction pipeline for organelle phylogenomics based on locally collinear block searching. Genomics. 2018;110(1):18–22.

    Article  CAS  PubMed  Google Scholar 

  38. Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017;14(6):587–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32(1):268–74.

    Article  CAS  PubMed  Google Scholar 

  40. Letunic I, Bork P. Interactive tree of life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021;49(W1):W293–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Frazer KA, Pachter L, Poliakov A, Rubin EM, Dubchak I. VISTA: computational tools for comparative genomics. Nucleic Acids Res. 2004;32(suppl_2):W273–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Amiryousefi A, Hyvönen J, Poczai P. IRscope: an online program to visualize the junction sites of chloroplast genomes. Bioinformat. 2018;34(17):3030–1.

    Article  CAS  Google Scholar 

  43. Katoh K, Misawa K, Kuma K, Miyata T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 2002;30(14):3059–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Rozas J, Ferrer-Mata A, Sánchez-DelBarrio JC, Guirao-Rico S, Librado P, Ramos-Onsins SE, et al. DnaSP 6: DNA sequence polymorphism analysis of large data sets. Mol Biol Evol. 2017;34(12):3299–302.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This work was supported by the Key Laboratory of Genomics, Ministry of Agriculture, BGI-Shenzhen, Shenzhen 518120, China. This work is part of the 10KP project (https://db.cngb.org/10kp/). We would like to thank Sibo Wang and Hongli Wang for helping us complete chloroplast genome sequencing.

Funding

This work was supported by the National Key Research and Development Program of China, grant number 2021YFD2200502.

Author information

Authors and Affiliations

Authors

Contributions

X.L. and Y.Z. designed this project. H.Z. and P.L. analyzed the data and wrote the manuscript. X.L. and Y.Z. revised the manuscirpt. Y.W. conducted literature research. H.S and Z.G. collected samples. All authors have directly contributed to this manuscript.

Corresponding authors

Correspondence to Haibo Zhang or Xin Liu.

Ethics declarations

Ethics approval and consent to participate

We confirm that the collection of plant material and experimental research followed all local and national guidelines and legislation.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, H., Liu, P., Zhang, Y. et al. Chloroplast genome of Calamus tetradactylus revealed rattan phylogeny. BMC Genom Data 25, 34 (2024). https://doi.org/10.1186/s12863-024-01222-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12863-024-01222-0

Keywords