Literature DB >> 31695964

The complete chloroplast genome of Dendrobium nobile, an endangered medicinal orchid from north-east India and its comparison with related Dendrobium species.

Ruchishree Konhar1,2,3, Manish Debnath1, Santosh Vishwakarma1, Atanu Bhattacharjee1, Durai Sundar4, Pramod Tandon5, Debasis Dash2,3, Devendra Kumar Biswal1.   

Abstract

The medicinal orchid genus Dendrobium belonging to the Orchidaceae family is a huge genus comprising about 800-1,500 species. To better illustrate the species status in the genus Dendrobium, a comparative analysis of 33 available chloroplast genomes retrieved from NCBI RefSeq database was compared with that of the first complete chloroplast genome of D. nobile from north-east India based on next-generation sequencing methods (Illumina HiSeq 2500-PE150). Our results provide comparative chloroplast genomic information for taxonomical identification, alignment-free phylogenomic inference and other statistical features of Dendrobium plastomes, which can also provide valuable information on their mutational events and sequence divergence. ©2019 Konhar et al.

Entities:  

Keywords:  Chloroplast; Codon usage; Dendrobium; Next generation sequencing; RNA editing; SNP

Year:  2019        PMID: 31695964      PMCID: PMC6830405          DOI: 10.7717/peerj.7756

Source DB:  PubMed          Journal:  PeerJ        ISSN: 2167-8359            Impact factor:   2.984


Introduction

Dendrobium is a huge genus of the tribe Dendrobieae (Orchidaceae: Epidendroideae) that was established by Olof Swartz in 1799. It includes approximately 800–1,500 species and occurs in diverse habitats throughout much of Southeast Asia, including China, Japan, India, and the Philippines, Indonesia, New Guinea, Vietnam, Australia and many of the islands in the Pacific (Wood, 2006). Many species and cultivars of this genus are well-known floral motifs and have featured in artwork. Dendrobium orchids are popular not only for their visual appeal in cut flower market, but also for their herbal medicinal history of about 2,000 years in east and south Asian countries (Bulpitt et al., 2007). Many species in this genus have been extensively used as herbal medicines for several hundreds of years in treating diseases like kidney and lung ailments, gastrointestinal problems, lumbago and arthralgia. The plant extracts are also used as tonic for strengthening body’s immunity and improving sexual potency. However, many Dendrobium species in the wild face an extreme threat of extinction due to their low germination and slow growth rate, habitat decline and over exploitation arising out of anthropogenic activities  (Kong et al., 2003). Dendrobium orchids have overwhelmed researchers because of their high economic importance in global horticultural trade and in Asian traditional medicine leading to extensive plant systemic studies particularly in species identification, novel marker development, breeding and conservation. In the past two decades, promising advances have been made in areas of molecular taxonomy, plant systematics and selective breeding of Dendrobium species by intensive use of molecular markers. Recently, a variety of molecular markers like microsatellite (SSR), Random Amplified Polymorphic DNA (RAPD) and Amplified Fragment Length Polymorphism (AFLP) markers including several other DNA barcode markers from different loci of nuclear and chloroplast (cp) regions have been developed to study Dendrobium diversity. However, these species are notoriously difficult to identify (Teixeira da Silva et al., 2016). The complete chloroplast genome usually contains a uniparentally inherited DNA, a feature which makes it an obvious choice for plant taxonomical analyses, phylogenomics and phylogeographic inferences at different taxonomic levels. One such classic example is the study of phylogenetic relationships among all families in the Order Liliales, based on 75 plastid genes from 35 species in 29 genera and 100 species spanning all monocot and major eudicot lineages, where underlying results were calibrated against 17 fossil dates to redefine the monocot evolutionary timelines (Givnish et al., 2016b). The significance of plastome-scale data was very well demonstrated in another study that highlighted a new functional model for understanding monocot evolution and some of their derived morphological features by way of convergent evolution from submersed aquatic ancestors (aquatic Hydatellaceae) (Givnish et al., 2018). The evolution of orchids, the largest and most diverse family of flowering plants second only to Asteraceae on Earth has long puzzled Charles Darwin and many other scientists. Recent advances in chloroplast genomics are giving researchers insights into the evolutionary history of these plants. One such study hypothesizes orchids to have arisen in Australia 112 Ma followed by migration to the Neotropics via Antarctica by 90 Ma. With the use of a combination of plastid genes, it was established that orchids and epidendroids exhibited maximally accelerated net diversification in Southeast Asia and the Neotropics respectively (Givnish et al., 2016a). Studies pertaining to plastome genome sequences are useful in investigating the maternal inheritance in plants, especially those with polyploid species, owing to their high gene content and conserved genome structure (Birky, 1995; Soltis & Soltis, 2000; Song et al., 2002). Many species of orchids and other flowering plants exhibit rapid evolution and diversity. One of the main reasons for such diversity can be attributed to allopolyploidy or genetic redundancy, in which there are more than one gene involved in performing a particular task. In cases of useful mutation, plants evolve into new species. Hybridization and polyploidy are the decisive forces behind evolution and speciation. In the past there have been studies where a combination of AFLPs, cpDNA markers and flow cytometry was harnessed to investigate the evolutionary outcomes of hybridization between two endemic Ecuadorian species of Epidendrum (Orchidaceae) in three hybrid zones. The outcome of this study highlights the importance of hidden hybrid genotypes and their frequency which could help unravel the mysteries behind orchid evolution (Marques et al., 2014). The advent of high-throughput sequencing technologies has enabled a rapid increase in the rate of completion of cp genomes with faster and cheaper methods to sequence organellar genomes (Saski et al., 2007; Cronn et al., 2008). At the time of writing this manuscript, cp genomes from 33 Dendrobium species have been reported as per NCBI Organellar genome records (https://www.ncbi.nlm.nih.gov/genome/browse#!/organelles/dendrobium). D. nobile Lindl. is one of the many highly prized medicinal plants in the genus Dendrobium. It is an endangered medicinal orchid listed in the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Appendix II that demands immediate attention for its protection and propagation. Here, we report the first complete cp genome of D. nobile from north-east India based on next-generation sequencing methods (Illumina HiSeq 2500-PE150) and further compare its structure, gene arrangement and microsatellite repeats with 33 existing cp genomes of Dendrobium species. Our results provide comparative chloroplast genomic information for taxonomical identification, phylogenomic inference and other statistical features of Dendrobium plastomes. These can give further insights into their mutational events and sequence divergence. The availability of complete cp genome sequences of these species in the genus Dendrobium will benefit future phylogenetic analyses and aid in germplasm utilization of these plants.

Materials and Methods

Sample collection, DNA extraction and sequencing

Fresh leaves of D. nobile were collected from plants growing in greenhouses of National Research Centre for Orchids, Sikkim, India and voucher specimen was deposited in Botanical Survey of India as well as in the Department of Botany, North-Eastern Hill University, Shillong. The high molecular weight cpDNA was extracted using a modified CTAB buffer, and treated according to a standard procedure for next generation sequencing on Illumina HiSeq 2500-PE150. The quality and quantity of the genomic DNA was assessed through agarose gel electrophoresis, Nanodrop and Qubit detection method. The experiments included both paired-end and mate-pair libraries. Tagmentation was carried out with ∼4 µg of Qubit quantified DNA and the tagmented sample was washed using AMPURE XP beads (Beckman Coulter #A63881) and further exposed to strand displacement. The strand-displaced sample of 2–5 kb and 8–13 kb gel was size selected and taken for overnight circularization. The linear DNA was digested using DNA Exonuclease. Further the circularized DNA molecules were sheared using Covaris microTUBE, S220 system (Covaris, Inc., Woburn, MA, USA) for obtaining fragments in the range 300 to 1,000 bp. M280 Streptavidin beads (ThermoFisher Scientific, Waltham, MA) was used to cleanse the sheared DNA fragments with biotinylated junction adapters. The bead-DNA complex was subjected to End Repair, A-Tailing and Adapter ligations.

Data processing

The data quality assessment for Illumina WGS raw reads was carried out using FastQC tool. Perl scripts were written for adapter clipping and low quality filtering. Chloroplast genomes of D. officinale, D. huoshanense and D. strongylanthum retrieved from NCBI-RefSeq database was used as reference for the assembly. BWA-MEM algorithm with default parameter settings was used for aligning the adapter clipped and low quality trimmed processed reads with the Dendrobium cp genomes (Li & Durbin, 2009). SPAdes-3.6.0 program was used for k-mer based (k-mer used 21, 33, 55 and 77) de-novo assembly with the aligned reads and the quality of the assembled genome was gauged using Samtools and Bcftools (read alignment and genome coverage calculation)  (Bankevich et al., 2012) (https://samtools.github.io/bcftools/bcftools.html). The cp genome of D. nobile was also generated through reference-assisted assembly using the high quality paired-end libraries by NOVOPlasty (Dierckxsens, Mardulyn & Smits, 2017) for further validation. It is specifically designed for de novo assembly of mitochondrial and chloroplast genomes from WGS data with the aid of a reference or seed sequence. The seed sequence can correspond to partial or complete sequence of chloroplasts of closely to distantly related species. The cpDNA RefSeq sequence of D. officinale was used as a seed sequence to perform reference-assisted assembly.

Genome annotation and codon usage

Basic Local Alignment Search Tool (BLAST; BLASTN, PHI-BLAST and BLASTX)  (Altschul et al., 1997), chloroplast genome analysis platform (CGAP) (Cheng et al., 2013) and Dual Organellar GenoMe Annotator (DOGMA) (Wyman, Jansen & Boore, 2004) was used to annotate protein-coding and ribosomal RNA genes. The boundaries of each annotated gene with putative start, stop, and intron positions were manually determined by comparison with homologous genes from other orchid cp genomes. Further tRNA genes were predicted using tRNAscan-SE  (Lowe & Eddy, 1997) and ARAGORN (Laslett & Canback, 2004). RNA editing sites in the protein-coding genes (PCG) of D. nobile were predicted using Plant RNA Editing Prediction & Analysis Computer Tool (PREPACT) (http://www.prepact.de). For this analysis, D. nobile cp genome was BLAST aligned against Nicotiana tabacum, Oryza sativa Japonica Group, Phalaenopsis aphrodite subsp. Formosana, Physcomitrella patens subsp. patens and Zea mays with a cutoff E-value set to 0.08. The circular genome map was drawn in OrganellarGenomeDRAW (Lohse et al., 2013) followed by manual modification. The sequencing data and gene annotation were submitted to GenBank with accession number KX377961. MEGA 7 was used to analyze and calculate GC content, codon usage, nucleotide sequence statistics and relative synonymous codon usage (RSCU) (Kumar, Stecher & Tamura, 2016).

Gene Ontology annotation and assignment of GO IDs

Gene Ontology (GO) annotation of D. nobile chloroplast genes was carried out in Blast2GO (Conesa et al., 2005) by blast aligning the gene sequences from the GenBank annotation files to Orchidaceae sequences in non-redundant (nr) database with an e-value cutoff of 1e−5 and queried in InterProScan (Jones et al., 2014). GO mapping and annotation of genes followed this from blast results and were subsequently merged with GO IDs from InterProScan. The merged GO annotations were validated based on True-Path-Rule by removing redundant child terms for each gene sequence. The GO annotations were slimmed down using plant-slim option.

Simple sequence repeats analysis

MISA (http://pgrc.ipk-gatersleben.de/misa/misa.html), a tool for identification and location of perfect microsatellites and compound microsatellites was used to search for potential simple sequence repeats (SSRs) loci in the cp genomes of different Dendrobium species. The threshold point for SSRs identification was set to 10, 5, 4, 3, and 3 for mono-, di-, tri-, tetra-, and penta-nucleotides SSRs, respectively. All the repeats found were manually curated and the redundant ones were removed.

Phylogenetic reconstruction with whole genome alignment and rearrangement analysis

For phylogenetic reconstruction, we included D. nobile cp genomes from India and China along with 32 other Dendrobium cp genomes retrieved from GenBank. Four Goodyera species were taken as outgroup. The cp genome sequences were aligned with MAFFT v7.0.0 (Katoh & Standley, 2013) and manually curated by visual inspection. PCGs as well as whole cp genomes were used for Bayesian phylogenetic reconstruction using MRBAYES 3.2.6 (Huelsenbeck & Ronquist, 2001). To further validate our results we employed “k-mer Based Tree Construction” in CLC Genomics Workbench that uses single sequences or sequence lists as input and creates a distance-based phylogenetic tree. For visualization and testing the presence of genome rearrangement and inversions, gene synteny was performed using MAUVE as implemented in DNASTAR 12.3 with default settings. Comparative analysis of intra nucleotide diversity (Pi) within the Dendrobium cp genomes was performed using MEGA 7.

Single nucleotide polymorphism identification and phylogenetic analysis without genome alignment

Phylogenetic tree was constructed based on the Single Nucleotide Polymorphisms (SNPs) identified in the whole cp genomes using kSNP3.0 with default settings except for k-mer size (Gardner, Slezak & Hall, 2015). SNPs were identified with k-mer size set to 23, based on which, approximately 79% of the k-mers generated from median-length genome were unique.

Results

Genome organization and features

The complete cp genome of D. nobile was determined from the data generated out of a whole genome project initiative of the same species by Paired-end and Mate pair data from Illumina HighSeq with 150*2 and Illumina NextSeq500 with 75*2 respectively. Further the aligned Illumina reads were separated and assembled using CLC Main Workbench Version 7.7.1 into the single longest scaffold. The D. nobile cp genome is a typical circular double-stranded DNA with a quadripartite structure; it is 152,018 bp in size and consists of Large Single Copy (LSC) (1..84,944; 84,944 bp), Small Single Copy (SSC) (111,230..125,733; 14,504 bp), and two Inverted Repeat (IR) regions of 26,285 bp: IRA (84,945..111,229) and IRB (125,734..152018). In total 134 unique genes (79 PCGs, 8 rRNA genes, 7 pseudogenes and 38 tRNA genes) were successfully annotated, of which 12 genes {rps16, atpF, rpoC1, ycf3, rps12 (2), clpP, petB, rpl2 (2), ndhB (2)} are reported with introns (Fig. 1). We could identify a total of 20, 81 and 11 genes duplicated in the IR, LSC and SSC regions respectively in the D. nobile cp genome. There were a total of 49 RNA editing sites predicted in 23 genes of D. nobile cp genome. The whole chloroplast genome alignment included 34 Dendrobium species and four species from the genus Goodyera as outgroup. Each genome’s panel contained its name, sequence coordinates and a black coloured horizontal centre line with coloured block outlines appearing above and below it. Homology between the cp genomes is represented by each block with the genes, internally free from genomic rearrangement, connected by thin lines to similarly coloured blocks depicting comparative homology between the genomes (Fig. 2). The positions of LSC/IRA/SSC/IRB borders revealed similar structures at the IR/LSC junction in the overall alignment of Dendrobium whole cp genomes (Fig. 3).
Figure 1

Gene map of Dendrobium nobile chloroplast genome from north-east India.

Genes shown inside the circle are transcribed clockwise, and those outside are transcribed anticlockwise. Color coding indicates genes of different functional groups. A pair of inverted repeats (IRA and IRB) separate the genome into LSC and SSC regions.

Figure 2

Whole chloroplast genome alignment of 38 orchid species.

The whole chloroplast genome alignment includes 34 Dendrobium species and four species from the genus Goodyera as outgroup. Each genome’s panel contains its name, sequence coordinates and a black coloured horizontal centre line with coloured block outlines appearing above and below it. Each block represents homology with the genes, internally free from genomic rearrangement, connected by lines to similarly coloured blocks depicting comparative homology across genomes.

Figure 3

Comparison of the borders of LSC, SSC and IR regions across Dendrobium chloroplast genomes.

Gene map of Dendrobium nobile chloroplast genome from north-east India.

Genes shown inside the circle are transcribed clockwise, and those outside are transcribed anticlockwise. Color coding indicates genes of different functional groups. A pair of inverted repeats (IRA and IRB) separate the genome into LSC and SSC regions.

Whole chloroplast genome alignment of 38 orchid species.

The whole chloroplast genome alignment includes 34 Dendrobium species and four species from the genus Goodyera as outgroup. Each genome’s panel contains its name, sequence coordinates and a black coloured horizontal centre line with coloured block outlines appearing above and below it. Each block represents homology with the genes, internally free from genomic rearrangement, connected by lines to similarly coloured blocks depicting comparative homology across genomes.

Gene ontology mapping and annotation

We further analyzed the D. nobile coding cp genome sequences using the Blast2GO suite and annotated the sequences for three GO terms (biological process, molecular function, and cellular component). In case of GO term there were a total of 231 annotations in biological process (P), molecular function (F) and cellular compartment (C) level. In the category of biological processes a large number of these sequences are annotated for translation, photosynthesis, metabolic processes, and ribosome biogenesis. Similarly, for the GO term molecular function, the top GO categories include functions related to structural molecule activity, catalytic activity, ion and rRNA binding, transporter and transferase activity. Finally, terms including membrane, ribosome and thylakoid were annotated GO categories for cellular compartment with most of the sequences. These results are summarized along with the information on RNA editing sites in Table 1.
Table 1

RNA editing sites predicted in Dendrobium nobile chloroplast genome along with its GO annotations.

D. nobile cp genome was BLAST aligned against reference datasets of Nicotiana tabacum, Oryza sativa Japonica Group, Phalaenopsis aphrodite subsp. Formosana, Physcomitrella patens subsp. Patens and Zea mays. Threshold for congruent prediction of RNA editing sites from the reference taxa was set to ≥3 (Count) and 75% (Percentage of prevalence). Count is in the form of (number of reference taxa against which editing site found)/(number of taxa with the homologous site). Further, the genes were exported to OMIX box, blast aligned and subsequently mapped and annotated with Gene ontology (GO) slim terms. Their corresponding GO ids and annotations are shown in the table.

GeneGO IDsGO slim annotationNucleotide positionAmino acid positionTriplet position within codonBase conversionCodon changeAmino acid conversionCountPercentage of Prevalence
matKF: GO:0005198F: structural molecule activity1258 913420 3051 1C→U C→UCAC→UAC CAU→UAUH→Y H→Y4/5 4/580 80
P: GO:0006412P: translation
C: GO:0005840; GO:0009507C: ribosome; chloroplast
rps16F: GO:0000166; GO:0005215F: nucleotide binding; transporter activity143482C→UUCA→UUAS→L4/4100
P: GO:0006139; GO:0006810; GO:0009058P: nucleobase-containing compound metabolic process; transport; biosynthetic process;
C: GO:0009507; GO:0009579; GO:0016020C: chloroplast; thylakoid; membrane
atpAF: GO:0000166; GO:0005215F: nucleotide binding; transporter activity7732582C→UUCA→UUAS→L5/5100
P: GO:0006139; GO:0006810; GO:0009058P: nucleobase-containing compound metabolic process; transport; biosynthetic process
C: GO:0009507; GO:0009579; GO:0016020C: chloroplast; thylakoid; membrane
atpFF: GO:0005215F: transporter activity92312C→UCCA→CUAP→L5/5100
P: GO:0006139; GO:0006810; GO:0009058P: nucleobase-containing compound metabolic process; transport; biosynthetic process
C: GO:0009507; GO:0009579; GO:0016020C: chloroplast; thylakoid; membrane
atpIF: GO:0005215F: transporter activity6292102C→UUCA→UUAS→L5/5100
P: GO:0006139; GO:0006810; GO:0009058P: nucleobase-containing compound metabolic process; transport; biosynthetic process4281432C→UCCU→CUUP→L5/5100
C: GO:0005886; GO:0009507; GO:0009579C: plasma membrane; chloroplast; thylakoid
rpoC1F: GO:0003677; GO:0016740F: DNA binding; transferase activity6172062C→UUCG→UUGS→L5/5100
P: GO:0006139; GO:0009058P: nucleobase-containing compound metabolic process; biosynthetic process4881632C→UUCA→UUAS→L5/5100
C: GO:0009507C: chloroplast182612C→UUCU→UUUS→F5/5100
41142C→UCCA→CUAP→L5/5100
rpoBF: GO:0003677; GO:0016740F: DNA binding; transferase activity24268092C→UUCA→UUAS→L4/580
6232082C→UCCG→CUGP→L4/580
P: GO:0006139; GO:0009058P: nucleobase-containing compound metabolic process; biosynthetic process5661892C→UUCG→UUGS→L5/5100
C: GO:0009507C: chloroplast5511842C→UUCA→UUAS→L5/5100
4731582C→UUCG→UUGS→L5/5100
3381132C→UUCU→UUUS→F5/5100
rps14F: GO:0003723; GO:0005198F: RNA binding; structural molecule activity149502C→UCCA→CUAP→L5/5100
P: GO:0006091; GO:0006412; GO:0015979P: generation of precursor metabolites and energy; translation; photosynthesis
C: GO:0009507; GO:0009579; GO:0016020; GO:0005840C: chloroplast; thylakoid; membrane; ribosome
ycf3F: GO:0005515F: protein binding191642C→UCCA→CUAP→L5/5100
P: GO:0015979P: photosynthesis185622C→UACG→AUGT→M5/5100
C: GO:0009507; GO:0009579; GO:0016020C: chloroplast; thylakoid; membrane44152C→UUCU→UUUS→F5/5100
atpBF: GO:0000166; GO:0005215F: nucleotide binding; transporter activity11843952C→UUCA→UUAS→L5/5100
P: GO:0006139; GO:0006810; GO:0009058P: nucleobase-containing compound metabolic process; transport; biosynthetic process
C: GO:0009507; GO:0009579; GO:0016020C: chloroplast; thylakoid; membrane
accDF: GO:0000166; GO:0016740F: nucleotide binding; transporter activity11843952C→UUCA→UUAS→L4/4100
P: GO:0006139; GO:0006629; GO:0009058P: nucleobase-containing compound metabolic process; lipid metabolic process; biosynthetic process14124712C→UCCA→CUAP→L3/3100
C: GO:0009507C: chloroplast14304772C→UCCU→CUUP→L3/3100
psaIP: GO:0015979;P: photosynthesis80272C→UUCU→UUUS→F5/5100
C: GO:0009507; GO:0009579; GO:0016020C: chloroplast; thylakoid; membrane
psbFF: GO:0003824; GO:0005488F: catalytic activity; binding77262C→UUCU→UUUS→F5/5100
P: GO:0006091; GO:0015979;P: generation of precursor metabolites and energy; photosynthesis
C: GO:0005739; GO:0009507; GO:0009579; GO:0016020C: mitochondrion; chloroplast; thylakoid; membrane
petLF: GO:0003824F: catalytic activity522C→UCCU→CUUP→L5/5100
C: GO:0009579C: thylakoid
rpl20F: GO:0003723; GO:0005198F: RNA binding; structural molecule activity3081032C→UUCA→UUAS→L4/580
P: GO:0006412; GO:0016043P: translation; cellular component organization
C: GO:0005840; GO:0009507C: ribosome; chloroplast
clpPF: GO:0016787F: hydrolase activity5591871C→UCAU→UAUH→Y5/5100
P: GO:0019538P: protein metabolic process82281C→UCAU→UAUH→Y5/5100
C: GO:0009507C: chloroplast
petBF: GO:0003824; GO:0005488F: catalytic activity; binding6112042C→UUCA→UUAS→L5/5100
P: GO:0006091; GO:0015979P: generation of precursor metabolites and energy; photosynthesis
C:GO:0009507; GO:0009579; GO:0016020C: chloroplast; thylakoid; membrane
rpoAF: GO:0003677; GO:0005515; GO:0016740F: DNA binding; protein binding; transferase activity8302772C→UUCA→UUAS→L4/4100
P: GO:0006139; GO:0009058P: nucleobase-containing compound metabolic process; biosynthetic process3681232C→UUCA→UUAS→L4/4100
C: GO:0009507C: chloroplast200672C→UUCU→UUUS→F3/475
rpl2F: GO:0003723; GO:0005198; GO:0016740F: RNA binding; structural molecule activity; transferase activity212C→UACG→AUGT→M5/5100
P: GO:0006412P: translation
C: GO:0005840; GO:0009507C: ribosome; chloroplast
ndhDF: GO:0003824; GO:0005488F: catalytic activity; binding8782932C→UUCA→UUAS→L4/4100
P: GO:0006091P: generation of precursor metabolites and energy6742252C→UUCG→UUGS→L4/4100
C: GO:0009507; GO:0009579; GO:0016020C: chloroplast; thylakoid; membrane3831282C→UUCA→UUAS→L4/4100
ndhAF: GO:0003824; GO:0005488F: catalytic activity; binding4731582C→UUCA→UUAS→L4/4100
P: GO:0006091; GO:0015979P: generation of precursor metabolites and energy; photosynthesis
C: GO:0005886; GO:0009507; GO:0009579C: plasma membrane; chloroplast; thylakoid
ndhBF: GO:0003824; GO:0005488F: catalytic activity; binding149502C→UUCA→UUAS→L4/4100
4671562C→UCCA→CUAP→L4/4100
5861961C→UCAU→UAUH→Y4/4100
P: GO:0006091; GO:0015979P: generation of precursor metabolites and energy; photosynthesis7042352C→UUCC→UUCS→F4/4100
7372462C→UCCA→CUAP→L4/4100
8302772C→UUCA→UUAS→L4/580
C: GO:0005886; GO:0009507; GO:0009579C: plasma membrane; chloroplast; thylakoid8362792C→UUCA→UUAS→L4/580
14814942C→UCCA→CUAP→L4/4100
rpl23F: GO:0003723; GO:0005198F: RNA binding; structural molecule activity71242C→UUCU→UUUS→F4/580
P: GO:0006412P: translation
C: GO:0005840; GO:0009507C: ribosome; chloroplast

Simple sequence repeat identification

SSRs were identified in MISA perl scripts with a minimum of 10 bp repeats among all the Dendrobium species. Of all the SSRs, the mononucleotide A/T repeat units occupied the highest proportion. A higher proportion of di-, tri- repeats are reported rather than tetra- and penta-nucleotide repeats across Dendrobium cp genomes (Fig. 4).
Figure 4

SSR distribution among different Dendrobium plastomes.

The SSR were determined in MISA per scripts based on the comparison between plastomes of each tested Dendrobium species and D. nobile. Histograms with different color codes indicate the numbers of SSRs. The minimum number (thresholds) of SSRs was set as 10, 5, 4, 3, and 3 for mono-, di-, tri-, tetra-, and penta-nucleotides SSRs, respectively.

Phylogenetic analysis

Phylogenetic analyses of chloroplast PCGs from Dendrobium species were performed with or without partitions of sequences. Both Bayesian and K-mer based trees (Figs. 5 and 6) recovered a monophyly of the Dendrobium species, irrespective of whether or not the partitions of sequences were incorporated in the analysis supported by strong bootstrap values. The phylogenetic analyses based on complete cp genomes, suggested that five major subgroups within the genus Dendrobium evolved in a nested evolutionary relationship. D. aphyllum, D. parishii, D. loddigesii and D. primulinum are the most recently evolved species that nested into a single monophyletic sub group within the Dendrobium clade. D. chrysotoxum and D. salaccense were a bit primitive on the evolutionary ladder in the phylogenetic tree. Goodyera species emerged as the outgroup that claded separately in the over all tree topology. Similar results were also obtained in the alignment free phylogenetic tree with SNPs (Fig. 6).
Figure 5

Phylogenetic tree based on Bayesian inference from the whole genome alignment matrix of Dendrobium chloroplast genomes.

The tree yielded monophyletic groupings of the genus Dendrobium and Goodyera species emerged as outgroup with a separate clade. Posterior probability/bootstrap values are indicated on the internal nodes, which are highly supportive of the overall tree topology.

Figure 6

Alignment free phylogenetic tree reconstruction based on SNP identification.

The optimum kmer size for the dataset is determined that calculates FCK, a measure of diversity of sequences in the dataset (Kchooser) and a consensus of the equally most parsimonious trees are reported. The numbers at the nodes indicate the number of SNPs that are present in all of the descendants of that node and absent in others. The numbers within parentheses at the tips indicate the number of SNPs unique to each particular species.

Discussion

Potential RNA editing sites

RNA editing is involved in plastid posttranscriptional regulation and thus provides an effective way to create transcript and protein diversity (Chen & Bundschuh, 2012; Knoop, 2011). In Orchidaceae, RNA editing sites were identified in 24 protein-coding transcripts in P. aphrodite (Zeng, Liao & Chang, 2007). Earlier studies indicate RNA editing sites from the same subfamily to be more conserved than those from different subfamily (Luo et al., 2014). However, orchids and other angiosperms have relatively less common editing sites. For example, orchids and Cocos nucifera share 10 potential RNA editing sites; comparisons among Nicotiana tabacum, Arabidopsis thaliana and orchid RNA editing sites have shown low conservation of editing sites (one common editing site in rpo B) (Luo et al., 2014). Our studies congruently predicted all 49 RNA editing sites (Table 1) in 23 genes of D. nobile from at least 75% of the reference organisms (Nicotiana tabacum, Oryza sativa Japonica Group, Phalaenopsis aphrodite subsp. Formosana, Physcomitrella patens subsp. Patens and Zea mays) and resulted in amino acid substitutions. All the RNA-editing sites were non-silent and edited C to U. Of the 49 RNA editing sites 89.8% (44) editing sites appeared in the second position of triplet codon, 10.2% (five) editing sites appeared in the first position of triplet codon whereas no editing sites appeared in the third base of triplet codon. The genes ndhD, rpoB, rpoC1 had eight, six, and four RNA editing sites, respectively. All the 49 RNA editing sites led to changes in the amino acid. The most frequent amino acid conversion was hydrophilic to hydrophobic (S to L, 22 occurrences and S to F, eight occurrences), followed by hydrophobic to hydrophobic conversions (P to L, 12 occurrences). Seven conversions were found to be hydrophilic to hydrophilic (H to Y, five occurrences and T to M, two occurrences).

RNA editing sites predicted in Dendrobium nobile chloroplast genome along with its GO annotations.

D. nobile cp genome was BLAST aligned against reference datasets of Nicotiana tabacum, Oryza sativa Japonica Group, Phalaenopsis aphrodite subsp. Formosana, Physcomitrella patens subsp. Patens and Zea mays. Threshold for congruent prediction of RNA editing sites from the reference taxa was set to ≥3 (Count) and 75% (Percentage of prevalence). Count is in the form of (number of reference taxa against which editing site found)/(number of taxa with the homologous site). Further, the genes were exported to OMIX box, blast aligned and subsequently mapped and annotated with Gene ontology (GO) slim terms. Their corresponding GO ids and annotations are shown in the table.

Comparison with other chloroplast genomes within the genus Dendrobium

We compared thirty-four chloroplast genomes representing different species within the genus Dendrobium (Table 2). The length of the Dendrobium species cp genomes ranged from 148,778 to 153,953 bp, with D. chrysotoxum being the largest cp genome and D. moniliforme the smallest. The cp genomes have acquired the familial angiosperm plastome organization comprising of a LSC, an SSC and a pair of IR regions each. Dendrobium cp genomes are also AT-rich (62.26–62.39%) quite similar to other orchid cp genomes (Zhitao et al., 2017). Differences in the cp genome size of these species are primarily due to the variations in the length of LSC, SSC and IR regions. Synteny comparison revealed a lack of genome rearrangement and inversions, thereby, substantiating for the highly conserved nature in the genomic structure, including gene number and gene order in these cp genomes. However, structural variation was predominant in the LSC/IR/SSC boundaries (Fig. 2), which could be harnessed for predicting potential biomarkers for species identification.
Table 2

Summary of characteristics in chloroplast genome sequences of thirty-four Dendrobium species and four Goodyera species (taken as outgroup).

OrganismAccession numberLengthWeight (single-stranded) MdaWeight (double-stranded) Mda
Dendrobium nobile KX377961 152,01846.93293.912
Dendrobium officinale NC_024019 152,22146.99594.038
Dendrobium strongylanthum NC_027691 153,05947.25694.556
Dendrobium huoshanense NC_028430 153,18847.29494.635
Dendrobium chrysotoxum NC_028549 153,95347.52895.108
Dendrobium nobile (China) NC_029456 153,66047.45394.927
Dendrobium pendulum NC_029705 153,03847.24694.542
Dendrobium moniliforme NC_035154 148,77845.93191.911
Dendrobium primulinum NC_035321 150,76746.54593.14
Dendrobium aphyllum NC_035322 151,52446.77993.607
Dendrobium brymerianum NC_035323 151,83046.87393.796
Dendrobium denneanum NC_035324 151,56546.79393.633
Dendrobium devonianum NC_035325 151,94546.90993.867
Dendrobium falconeri NC_035326 151,89046.89193.833
Dendrobium gratiosissimum NC_035327 151,82946.87393.796
Dendrobium hercoglossum NC_035328 151,93946.90893.864
Dendrobium wardianum NC_035329 151,78846.86193.77
Dendrobium wilsonii NC_035330 152,08046.95193.951
Dendrobium crepidatum NC_035331 151,71746.83793.726
Dendrobium salaccense NC_035332 151,10446.64893.347
Dendrobium spatella NC_035333 151,82946.87293.796
Dendrobium parciflorum NC_035334 150,07346.33192.711
Dendrobium henryi NC_035335 151,85046.8893.809
Dendrobium chrysanthum NC_035336 151,79046.86193.772
Dendrobium jenkinsii NC_035337 151,71746.83993.726
Dendrobium lohohense NC_035338 151,81246.86893.785
Dendrobium parishii NC_035339 151,68946.8393.709
Dendrobium ellipsophyllum NC_035340 152,02646.93593.917
Dendrobium xichouense NC_035341 152,05246.94293.933
Dendrobium fimbriatum NC_035342 151,67346.82593.699
Dendrobium exile NC_035343 151,29446.70793.465
Dendrobium fanjingshanense NC_035344 152,10846.9693.968
Dendrobium candidum NC_035745 152,09446.95593.959
Dendrobium loddigesii NC_036355 152,49347.07794.205
Goodyera fumata NC_026773 155,64348.04896.151
Goodyera procera NC_029363 153,24047.30694.667
Goodyera schlechtendaliana NC_029364 154,34847.64895.351
Goodyera velutina NC_029365 152,69247.13894.328

SSR distribution among different Dendrobium plastomes.

The SSR were determined in MISA per scripts based on the comparison between plastomes of each tested Dendrobium species and D. nobile. Histograms with different color codes indicate the numbers of SSRs. The minimum number (thresholds) of SSRs was set as 10, 5, 4, 3, and 3 for mono-, di-, tri-, tetra-, and penta-nucleotides SSRs, respectively.

Phylogenetic tree based on Bayesian inference from the whole genome alignment matrix of Dendrobium chloroplast genomes.

The tree yielded monophyletic groupings of the genus Dendrobium and Goodyera species emerged as outgroup with a separate clade. Posterior probability/bootstrap values are indicated on the internal nodes, which are highly supportive of the overall tree topology.

Alignment free phylogenetic tree reconstruction based on SNP identification.

The optimum kmer size for the dataset is determined that calculates FCK, a measure of diversity of sequences in the dataset (Kchooser) and a consensus of the equally most parsimonious trees are reported. The numbers at the nodes indicate the number of SNPs that are present in all of the descendants of that node and absent in others. The numbers within parentheses at the tips indicate the number of SNPs unique to each particular species. IR regions are generally considered to be highly conserved regions in the chloroplast genome. IR expansion or contraction is determined by the variability of genes flanking IR/SC junctions (Huelsenbeck & Ronquist, 2001). In the evolutionary ladder, SSC and IR border regions experience expansion and contraction that overall contribute to the variation in chloroplast genome length (Wang et al., 2008; Li et al., 2013). At the IR/LSC boundaries, most IRs of non-orchid monocots exhibit trnH-rps19 gene clusters, excluding Ψrpl22 genes, leading to more-progressive expansion of IRs compared to non-monocot angiosperms (Yang et al., 2010; Goulding et al., 1996). Contrarily, the orchid chloroplast genomes have distinct characteristics at the IR/SSC junction and are classified into four types based on the organization of genes flanking the IRB/SSC junction (JSB). In type I structure, JSB is located upstream of the ndhF-rpl32 cluster and is primarily seen in Cypripedium and Dendrobium species. Type II junction is found in Cymbidium species in which JSB is located within Ψycf1 and ndhF genes. Type III is reported in Oncidium, Erycina, and Phalaenopsis equestris, in which JSB is located inside the Ψycf1-rpl32 cluster, with the loss of ndhF gene. The type IV structure is characterized by the incorporation of the entire ycf1 into the SSC, with JSBinside trnN-rpl32 (Gardner, Slezak & Hall, 2015). In the present study, the positions of LSC/IRA/SSC/IRB borders were examined in the overall alignment of Dendrobium whole cp genomes and all of them were found to have similar structures at the IR/LSC junction akin to type I structure (Fig. 3). Previous studies emphasize that IR expansion or contraction may not correlate with the taxonomic relationships (Chen & Bundschuh, 2012). More molecular data is required for enhancing our present understanding of the genes flanking IR/SSC junctions and their underlying variations. A comparative nucleotide sequence statistics (counts of annotations, AT/GC counts, nucleotide frequency in codon positions etc.) for all the Dendrobium species including representatives from outgroup are outlined in Tables 3, 4 and 5. The relative synonymous codon usage is given in parentheses following the codon frequency (averages over all taxa) involved (Table 6). Maximum Likelihood analysis of natural selection codon-by-codon was carried out. For each codon, estimates of the numbers of inferred synonymous (s) and nonsynonymous (n) substitutions are presented along with the number of sites that are estimated to be synonymous (S) and nonsynonymous (N) (Table S1). These estimates were calculated using the joint Maximum Likelihood reconstructions of ancestral states under a Muse-Gaut model (Muse & Gaut, 1994) of codon substitution and Felsenstein 1981 model  (Felsenstein, 1981) of nucleotide substitution. For estimating ML values, a tree topology was automatically computed. The test statistic dN-dS was used for detecting codons that have undergone positive selection, where dS is the number of synonymous substitutions per site (s/S) and dN is the number of nonsynonymous substitutions per site (n/N). A positive value for the test statistic indicates an overabundance of nonsynonymous substitutions. In this case, the probability of rejecting the null hypothesis of neutral evolution (p-value) was calculated  (Kosakovsky Pond & Frost, 2005; Suzuki & Gojobori, 1999). A value of p less than 0.05 was considered significant at a 5% level and was highlighted (Table S2). Normalized dN-dS for the test statistic is obtained using the total number of substitutions in the tree (measured in expected substitutions per site). The analysis involved 38 nucleotide sequences. Codon positions included were 1st+2nd+3rd+non-coding and all positions containing gaps and missing data were eliminated. There were a total of 108,594 positions in the final dataset.
Table 3

Summary features of chloroplast genome sequences of thirty-four Dendrobium species and four Goodyera species.

OrganismCDSExonGeneMisc. featureRepeat regionrRNAtRNA
Dendrobium nobile792213222838
Dendrobium officinale76012900838
Dendrobium strongylanthum77013022838
Dendrobium huoshanense76012922838
Dendrobium chrysotoxum63011622838
Dendrobium nobile (China)77013022838
Dendrobium pendulum76012922838
Dendrobium moniliforme730129112839
Dendrobium primulinum720132162838
Dendrobium aphyllum720132162838
Dendrobium brymerianum720132162838
Dendrobium denneanum720132162838
Dendrobium devonianum720132162838
Dendrobium falconeri720132162838
Dendrobium gratiosissimum720132162838
Dendrobium hercoglossum720132162838
Dendrobium wardianum710131162838
Dendrobium wilsonii720132162838
Dendrobium crepidatum720132162838
Dendrobium salaccense720132162838
Dendrobium spatella720132162838
Dendrobium parciflorum720131162738
Dendrobium henryi720132162838
Dendrobium chrysanthum720132162838
Dendrobium jenkinsii720132162838
Dendrobium lohohense720132162838
Dendrobium parishii720132162838
Dendrobium ellipsophyllum720132162838
Dendrobium xichouense720132162838
Dendrobium fimbriatum720132162838
Dendrobium exile720132162838
Dendrobium fanjingshanense720132162838
Dendrobium candidum75012800838
Dendrobium loddigesii68012090839
Goodyera fumata87013300838
Goodyera procera80012700839
Goodyera schlechtendaliana81012900840
Goodyera velutina79012600839
Table 4

Counts of nucleotides in the chloroplast genomes.

NucleotideAdenine (A)Cytosine (C)Guanine (G)Thymine (T)C + GA + T
Dendrobium nobile465762885328039483815689294957
Dendrobium officinale467432892428107484475703195190
Dendrobium strongylanthum469402914728431485415757895481
Dendrobium huoshanense470322911128316487295742795761
Dendrobium chrysotoxum471802940028492488815789296061
Dendrobium nobile (China)471182887128748489235761996041
Dendrobium pendulum469972912228242486775736495674
Dendrobium moniliforme455512833927520473685585992919
Dendrobium primulinum461912875027909479175665994108
Dendrobium aphyllum464172891728057481335697494550
Dendrobium brymerianum465092896828123482305709194739
Dendrobium denneanum464402891328115480975702894537
Dendrobium devonianum466152894328108482795705194894
Dendrobium falconeri465912891128040483485695194939
Dendrobium gratiosissimum465212895428095482595704994780
Dendrobium hercoglossum465922894128131482755707294867
Dendrobium wardianum464792895528118482365707394715
Dendrobium wilsonii466682894828101483635704995031
Dendrobium crepidatum464822895128056482285700794710
Dendrobium salaccense464932863527735482415637094734
Dendrobium spatella465242896928091482455706094769
Dendrobium parciflorum459412869927829476045652893545
Dendrobium henryi465502893628093482715702994821
Dendrobium chrysanthum465192893928078482545701794773
Dendrobium jenkinsii464972894228105481735704794670
Dendrobium lohohense465582892828098482285702694786
Dendrobium parishii464872892428079481995700394686
Dendrobium ellipsophyllum466902892228091483235701395013
Dendrobium xichouense466722893728098483455703595017
Dendrobium fimbriatum464832893228094481645702694647
Dendrobium exile462512893728065480415700294292
Dendrobium fanjingshanense466942894728115483525706295046
Dendrobium candidum466952891428091483945700595089
Dendrobium loddigesii468682893428064486275699895495
Goodyera fumata481862956928447494415801697627
Goodyera procera470952937028303484725767395567
Goodyera schlechtendaliana478222920628146491745735296996
Goodyera velutina475542869427658487865635296340
Table 5

Counts of nucleotide frequency in codon positions across the chloroplast genomes.

Nucleotide per position1 A1 C1 G1 T2 A2 C2 G2 T3 A3 C3 G3 T
D. nobile0.310.190.270.230.30.20.180.320.320.140.160.38
D. officinale0.310.190.270.230.30.20.180.320.320.140.160.38
D. strongylanthum0.310.190.270.230.30.20.180.320.320.140.160.38
D. huoshanense0.310.190.270.230.30.20.180.320.320.140.160.38
D. chrysotoxum0.30.190.280.220.290.20.180.320.320.140.160.38
D. nobile (China)0.310.190.270.230.30.20.180.320.320.140.160.38
D. pendulum0.310.190.270.230.30.20.180.320.320.140.160.38
D. moniliforme0.310.190.270.230.30.20.180.320.320.140.170.38
D. primulinum0.310.190.270.230.30.20.180.320.320.140.160.38
D. aphyllum0.310.190.270.230.30.20.180.320.320.140.160.38
D. brymerianum0.310.190.270.230.30.20.180.320.320.140.160.38
D. denneanum0.310.190.270.230.30.20.180.320.320.140.160.38
D. devonianum0.310.190.270.230.30.20.180.320.320.140.160.38
D. falconeri0.310.190.270.230.30.20.180.320.320.140.160.38
D. gratiosissimum0.310.190.270.230.30.20.180.320.320.140.170.38
D. hercoglossum0.310.190.270.230.30.20.180.320.320.140.160.38
D. wardianum0.310.190.270.230.30.20.180.320.320.140.160.38
D. wilsonii0.310.190.270.230.30.20.180.320.320.140.160.38
D. crepidatum0.310.190.270.230.30.20.180.320.320.140.160.38
D. salaccense0.310.190.270.230.30.20.180.320.320.140.160.38
D. spatella0.310.190.270.230.30.20.180.320.310.140.170.38
D. parciflorum0.310.190.270.230.30.20.180.320.310.140.170.38
D. henryi0.310.190.270.230.30.20.180.320.320.140.160.38
D. chrysanthum0.310.190.270.230.30.20.180.320.320.140.160.38
D. jenkinsii0.310.190.270.230.30.20.180.320.320.140.160.38
D. lohohense0.310.190.270.230.30.20.180.320.320.140.160.38
D. parishii0.310.190.270.230.30.20.180.320.320.140.170.38
D. ellipsophyllum0.310.190.270.230.30.20.180.320.320.140.160.38
D. xichouense0.310.190.270.230.30.20.180.320.320.140.160.38
D. fimbriatum0.310.190.270.230.30.20.180.320.320.140.160.38
D. exile0.310.190.270.230.30.20.180.320.310.140.160.38
D. fanjingshanense0.310.190.270.230.30.20.180.320.320.140.160.38
D. candidum0.310.190.270.230.30.20.180.320.320.140.160.38
D. loddigesii0.310.190.270.230.30.20.180.320.320.140.160.38
G. fumata0.310.190.260.240.290.20.180.330.320.140.160.38
G. procera0.310.190.260.240.30.20.170.330.320.140.160.38
G. schlechtendaliana0.310.190.260.240.290.210.170.330.310.140.160.38
G. velutina0.310.190.270.240.290.210.180.330.320.140.160.38
Table 6

Relative synonymous codon usage (in parentheses) following the codon frequency across the chloroplast genomes in the genus Dendrobium.

CodonCountRSCUCodonCountRSCUCodonCountRSCUCodonCountRSCU
UUU(F)2018.11.16UCU(S)13301.63UAU(Y)13711.38UGU(C)706.91.24
UUC(F)1459.20.84UCC(S)882.81.08UAC(Y)621.40.62UGC(C)4370.76
UUA(L)918.41.14UCA(S)999.41.23UAA(*)970.51.05UGA(*)10651.15
UUG(L)970.91.21UCG(S)576.90.71UAG(*)732.20.79UGG(W)691.41
CUU(L)1068.91.33CCU(P)6381.13CAU(H)919.71.43CGU(R)336.10.63
CUC(L)629.20.78CCC(P)547.80.97CAC(H)369.30.57CGC(R)220.70.41
CUA(L)762.80.95CCA(P)689.41.23CAA(Q)952.81.38CGA(R)545.21.02
CUG(L)473.70.59CCG(P)375.40.67CAG(Q)423.20.62CGG(R)3430.64
AUU(I)1635.71.21ACU(T)6461.21AAU(N)15801.39AGU(S)659.90.81
AUC(I)1072.90.8ACC(T)530.81AAC(N)6950.61AGC(S)435.80.54
AUA(I)1337.40.99ACA(T)610.31.15AAA(K)19141.31AGA(R)11712.2
AUG(M)891.41ACG(T)343.20.64AAG(K)10090.69AGG(R)5761.08
GUU(V)709.41.36GCU(A)467.51.29GAU(D)10381.43GGU(G)523.70.99
GUC(V)366.70.7GCC(A)326.40.9GAC(D)413.90.57GGC(G)314.40.59
GUA(V)647.81.24GCA(A)438.71.21GAA(E)13351.37GGA(G)754.11.43
GUG(V)366.90.7GCG(A)221.50.61GAG(E)618.30.63GGG(G)521.80.99

Gene ontology analysis

The GO annotation revealed majority of the chloroplast genes are involved in the process of translation, photosynthesis, ion transport and transcription (Table 1). The molecular functions of the genes are majorly binding—RNA, metal ion, DNA, ion and electron transport, RNA polymerase activity and various other enzymatic activities. Enzyme classification showed seven genes to be translocases, four as transferases, two as oxidoreductases, and one each as hydrolase, lyase and ligase. A majority of the genes encode proteins localizing in chloroplast thylakoid membrane, ribosome and few are transported to the mitochondria. The ndhB gene is involved in photosynthesis, while rpoB and rpoC1 are involved in biosynthetic process.

Characterization of simple sequence repeats

Previous studies have documented prevalence of mononucleotide and dinucleotide SSRs in atleast 15 Dendrobium species from 92 syntenic intergenic and intronic loci. Of all these loci, 10(mutational hotspots: psbB-psbT, rpl16-rps3, trnR-atpA, trnL intron ndhF-rpl32, rpl32-trnL, trnT-trnL, clpB-psbB, rps16-trnQ and trnE-trnT) are reported to be the fastest evolving and are termed as top ten hotspots (Chen & Bundschuh, 2012). The SSRs lying in these regions could be further investigated for identifying potential markers that can aid in barcoding analysis.

Phylogenetic analyses

In the present study, we employed two different approaches for phylogeny reconstruction. First we aligned the whole cp genomes and exported the alignment matrices for creating a Bayesian tree (Fig. 5). Two independent MCMC chains were run with first 25% of the cycles removed as burn-in, coalescence of substitution rate and rate model parameters were also examined and average standard deviation of split frequencies was carried out and generations added until the standard deviation value was lowered to 0.01. Secondly we performed a phylogenetic tree construction using an alignment free approach. In this case we identified the SNPs from the cp genomes and utilised them in constructing the phylogenetic tree (Fig. 6). A total of 13,839 SNPs were identified in the 38 genomes analyzed, of which 2,203 were homoplastic SNPs i.e., SNPs that do not correspond to any node in the parsimony tree. The fraction of k-mers present in all genomes is 0.482. The numbers at the nodes in the phylogenetic tree indicate the number of SNPs that are present in all of the descendants of that node and absent in others (Fig. 6). The numbers at the tips indicate the number of SNPs unique to each particular species. The two different methods that employed both alignment and alignment-free approach resulted in highly reliable identical phylogenetic trees within each data set. Different analyses based on the two datasets generated largely congruent topologies (Figs. 5 and 6) with Dendrobium species forming one clade and Goodyera species forming another clade as an outgroup.

Conclusions

This study provides the first comparative account on the complete chloroplast genome of D. nobile from north-east India with 33 other species from the genus Dendrobium that revealed higher sequence variation in SSC and LSC regions compared with IR regions in both coding and non-coding regions. The gene order, gene content and genomic structure were highly conserved with those of other sequenced Dendrobium species. However, IR contraction is observed within the genus and several SNPs identified from these cp genomes were quite instrumental in generating alignment-free robust phylogenetic trees that congrued with trees generated from aligned matrices of whole cp genomes. This gives an indication that the SNPs, insertions and deletions, LSC and SSC regions in the cp genomes of this medicinal orchid genus can be utilized for barcoding and biodiversity studies. Further, this would augment more and more plastome sequencing of Dendrobium species that are not reported in this study. Click here for additional data file. Click here for additional data file.
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Authors:  Jing Luo; Bei-Wei Hou; Zhi-Tao Niu; Wei Liu; Qing-Yun Xue; Xiao-Yu Ding
Journal:  PLoS One       Date:  2014-06-09       Impact factor: 3.240

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Review 1.  In-depth analysis of genomes and functional genomics of orchid using cutting-edge high-throughput sequencing.

Authors:  Cheng Song; Yan Wang; Muhammad Aamir Manzoor; Di Mao; Peipei Wei; Yunpeng Cao; Fucheng Zhu
Journal:  Front Plant Sci       Date:  2022-09-23       Impact factor: 6.627

2.  Opposite trends of glycosides and alkaloids in Dendrobium nobile of different age based on UPLC-Q/TOF-MS combined with multivariate statistical analyses.

Authors:  An-Jing Lu; Yuan Jiang; Jia Wu; Dao-Peng Tan; Lin Qin; Yan-Liu Lu; Yong Qian; Chao-Jun Bai; Ji-Yong Yang; Hua Ling; Jing-Shan Shi; Zhou Yang; Yu-Qi He
Journal:  Phytochem Anal       Date:  2022-03-02       Impact factor: 3.024

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