Open AccessArticle

The Complete Plastome Sequence of an Antarctic Bryophyte Sanionia uncinata (Hedw.) Loeske

Mira Park

^1,2,

Hyun Park

^1,3,

Hyoungseok Lee

^1,3,*

Byeong-ha Lee

^2,* and

Jungeun Lee

^1,3,*

Unit of Polar Genomics, Korea Polar Research Institute, Incheon 21990, Korea

Department of Life Science, Sogang University, Seoul 04107, Korea

Polar Science, University of Science & Technology, Daejeon 34113, Korea

Authors to whom correspondence should be addressed.

Int. J. Mol. Sci. 2018, 19(3), 709; https://doi.org/10.3390/ijms19030709

Submission received: 31 January 2018 / Revised: 26 February 2018 / Accepted: 27 February 2018 / Published: 1 March 2018

(This article belongs to the Special Issue Chloroplast)

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Graphical abstract
"> Figure 1
Map of the Sanionia uncinata plastome. Complete plastome sequences were obtained from the de novo assembly of Illumina paired-end reads. Genes are color coded by functional group, which are located in the left box. The inner darker gray circle indicates the GC content while the lighter gray corresponds to AT content. IR, inverted repeat; LSC, large single copy region; SSC, small single copy region. Genes shown on the outside of the outer circle are transcribed clockwise and those on the inside counter clockwise. The map was made with OGDraw [<a href="#B31-ijms-19-00709" class="html-bibr">31</a>]. "> Figure 2
Alignment of complete plastome sequences from six species. Alignment and comparison were performed using mVISTA and the percentage of identity between the plastomes was visualized in the form of an mVISTA plot. The sequence similarity of the aligned regions between S. uncinata and other five species is shown as horizontal bars indicating average percent identity between 50–100% (shown on the y-axis of graph). The x-axis represents the coordinate in the plastome. Genome regions are color-coded for protein-coding (exon), rRNA, tRNA and conserved non-coding sequences (CNS) as the guide at the bottom-left. "> Figure 3
Phylogenetic tree reconstruction of 23 taxa using MEGA7 based on concatenated sequences of 40 protein-coding genes in the plastome. Maximum likelihood (ML) topology is shown with the bootstrap support values (MP/ML) given at nodes. Forty protein-coding sequences were extracted from annotated plastomes found in GenBank [<a href="#B21-ijms-19-00709" class="html-bibr">21</a>] (<a href="http://www.ncbi.nlm.nih.gov" target="_blank">http://www.ncbi.nlm.nih.gov</a>) (<a href="#app1-ijms-19-00709" class="html-app">Table S2</a>). The nucleotide sequences for each gene were translated into amino acids, aligned in MEGA7 and manually adjusted. Nucleotide sequences were aligned by constraining them to the amino acid sequence alignment. Individual gene alignments were then assembled into a single dataset. "> Figure 4
Comparison of the large inversion in the LSC region among six bryophytes plastomes. In comparative LSC region alignment of rpoA, petN coding regions from M. polymorpha, S. uncinata, T. ruralis, T. pellucida and P. patens. The inverted-arrangement of 71 kb fragment was only detected for P. patens. "> Figure 5
Amino acid alignment of (A) nuc-rpoA and (B) nuc-petN genes of S. uncinata with the nuc-rpoA or cp-rpoA and cp-petN genes from other green plants. Identical amino acid residues are boxed in black, other residues are printed in grey. Signal peptide sequences were predicted using SignalP [<a href="#B45-ijms-19-00709" class="html-bibr">45</a>] and shown as double arrow lines and the asterisk. ">

Versions Notes

Abstract

Organellar genomes of bryophytes are poorly represented with chloroplast genomes of only four mosses, four liverworts and two hornworts having been sequenced and annotated. Moreover, while Antarctic vegetation is dominated by the bryophytes, there are few reports on the plastid genomes for the Antarctic bryophytes. Sanionia uncinata (Hedw.) Loeske is one of the most dominant moss species in the maritime Antarctic. It has been researched as an important marker for ecological studies and as an extremophile plant for studies on stress tolerance. Here, we report the complete plastome sequence of S. uncinata, which can be exploited in comparative studies to identify the lineage-specific divergence across different species. The complete plastome of S. uncinata is 124,374 bp in length with a typical quadripartite structure of 114 unique genes including 82 unique protein-coding genes, 37 tRNA genes and four rRNA genes. However, two genes encoding the α subunit of RNA polymerase (rpoA) and encoding the cytochrome b_6/f complex subunit VIII (petN) were absent. We could identify nuclear genes homologous to those genes, which suggests that rpoA and petN might have been relocated from the chloroplast genome to the nuclear genome.

Keywords:

Sanionia uncinata; chloroplast genome; Antarctic bryophyte; moss; plastome

Graphical Abstract

1. Introduction

Antarctic terrestrial ecosystems are dominated by lichens and bryophytes (including mosses, liverworts and hornworts), encompassing more than 200 lichens and 109 mosses species [1]. Only two vascular plant species have survived and adapted to these extreme environments, with a very limited distribution restricted to the maritime Antarctic, while mosses are common plants on extensive ice-free areas of Antarctica.

Sanionia uncinata is one of the most dominant moss species in Antarctica and is mainly distributed over coastal areas [2,3]. Moreover, S. uncinata is distributed across multiple geographic regions, ranging from Northern Hemisphere (Europe, Asia, North America and the Arctic) to Southern Hemisphere (Africa, South America and the Antarctica) and also found at high-altitude mountains in tropical and subtropical areas [4]. A recent phylogeographic study has established the haplotype networks of S. uncinata populations by identifying their genetic diversity with massive molecular marker datasets of more than 200 specimens collected from various regions around the world [4].

S. uncinata is a pleurocarpous moss species that form dense and extensive carpets on terrestrial habitats over a wide range of water regimes, from dry rock surfaces to wet areas at the edges of streams or melt pools [5,6,7]. S. uncinata has been extensively used as an experimental model for the study of environmental impacts on plants [8,9,10]. This species is known to tolerate dehydration by retaining moisture in their tissues for a long period of time by forming a carpet-like community shape that helps to avoid water loss [11]. However, the molecular mechanism and molecular ecology underlying stress tolerance have yet to be elucidated. The dehydration process, although it prevents the moss from freezing, directly affects cell metabolism and as a result, photosynthetic capacity decreases when the water content of moss drops below the optimum level [12]. On the other hand, photosynthesis is essential for the production of energy needed for plant growth and takes place in the chloroplasts. Thus, the integrity and metabolic performance of chloroplasts are very important for photosynthetic activities [13].

Chloroplasts are unique organelles, derived from cyanobacteria through endosymbiosis, that provide essential energy for plants and algae through photosynthesis [14,15]. They contain their own genomes that have a unique mechanism of RNA transcription and are inherited maternally. Chloroplasts are known to play an important role in the synthesis of pigments, starch, fatty acids and amino acids as well as the photosynthesis process [16,17]. In general, chloroplast genomes—namely, plastomes—are highly conserved with regards to gene sequences and gene content in terrestrial plants. Their highly conservative nature is sufficient to perform comparative studies on different species to discuss evolutionary relationships between species in terms of molecular phylogeny and molecular ecology [18]. For instance, plastome sequences provide species-specific information that includes genome size, gene order, genome rearrangements, patterns of base pair composition, codon usage, massive plastid gene losses and various type of nucleotide polymorphism [19,20].

Despite their genetic diversity and evolutionary significance, genetic resources for bryophytes are very limited when compared to angiosperms. Of the 2352 records for chloroplast genome sequences of green plants, only 15 plastomes of bryophytes comprised of 2 from hornworts, 5 from liverworts and 8 from mosses (including Sanonia uncinata NC_025668 which was directly submitted by the authors of this study) are available in public repositories [21] (http://www.ncbi.nlm.nih.gov). There are currently only four complete chloroplast genomes fully published for mosses, for example, Physcomitrella patens [22], Tortula ruralis [13], Tetraphis pellucida [23] and Tetraplodon fuegianus [24]. The plastome information of more bryophytes and comparative genomic studies are necessary to better understand the molecular evolutionary events or functions of chloroplast genes. In this regard, the plastome information of S. uncinata provided in this study will be a very useful resource for future research on the ecology, physiology and molecular evolution of bryophytes.

2. Results and Discussion

2.1. Overall Genome Organization

Illumina MiSeq sequencing produced 4,993,466 raw reads with an average read length of 301 bp and a total number of 1,503,033,266 base pairs. A total of 46,573 chloroplast-related reads were obtained as a result of alignment of quality trimmed reads against other chloroplast genomes publically available in NCBI. Assembly of the nucleotide sequence reads was performed to obtain non-redundant contigs and singletons using CLC Genomics Workbench V7.5 (CLC bio, Aarhus, Denmark). The final S. uncinata plastome sequence has been submitted to GenBank (Accession: NC_025668).

The gene map for the S. uncinata plastome is shown in Figure 1. The complete plastome of S. uncinata is 124,374 base pairs (bp) in length with a typical quadripartite structure including large and small single-copy regions (LSC of 86,570 bp and SSC of 18,430 bp) separated by a pair of identical inverted repeats (IRA and IRB) of 9687 bp each (Figure 1). Most of the chloroplast DNA had a well preserved quadripartite structure in bryophytes [23,25,26] and vascular plants [27,28]. The genome contained 114 unique genes including 82 unique protein-coding genes, 37 tRNA genes and 4 rRNA genes (Table 1). The gene content of the IR regions was conserved among S. uncinata, T. ruralis and P. patens.

The size of the plastome of S. uncinata is very similar to those of liverworts (Marchantia polymorpha 121,024 bp NC_001319, Pellia endiviifolia 120,546 bp NC_019628, Aneura mirabilis 108,007 bp NC_010359, Ptilidium pulcherrimum 119,007 bp NC_015402) and mosses (Physcomitrella patens 122,890 bp NC_005087, Tortula ruralis 124,374 bp NC_012052, Tetraphis pellucida 127,489 bp NC_024291) and Tetraplodon fuegianus 123,670 bp, KU_095851(unverified) but much smaller than hornworts (Anthoceros formosae 161,162 bp NC_004543 and Nothocerosaenigmaticus 153,208 bp NC_020259), which have an increased length of intragenic spacers in the LSC region or in the identical IR regions [18,29,30].

The overall G/C content was 29.3% for S. uncinata, similar to other known bryophyte plastomes (P. patens (28.5%) [22], T. pellucida (29.4%) [23], T. fuegianus (28.7%) [24]), as well as the liverwort M. polymorpha (28.8%) [26], hornwort A. formosae (32.9%) [25], the charophyte Chaetosphaeridium (29.6%) [32] and algae (30–33%) [22] but significantly less than the 34~40% found in seed plants [33].

The chloroplast genes found in the complete plastome are represented in Table 2. There were 14 intron-containing genes including 5 tRNA genes and 9 protein-coding genes and almost all of which were single-intron genes except for ycf3 and clpP, which each had two introns. Two exons of trans-spliced gene rps12 are located in the LSC 71 kb apart from each other. The trnK-UUU gene has the largest intron (2272 bp), which has matK ORF (1548 bp) encoding a maturase involved in splicing type II introns [34].

The 82 protein-coding genes in this genome represented nucleotide coding for 40,330 codons. On the basis of the sequences of protein-coding genes and tRNA genes within the plastome, the frequency of codon usage was deduced (Table 3). Among these codons, 4343 (10.85%) encoded for leucine and 455 (1.14%) for Tryptophan, which were the most and the least amino acids, respectively. The codon usage was biased towards a high representation at the third codon position. A biased frequency of codons included the levels of available tRNA, functionally related genes, evolutionary pressures and the rate of gene evolution [35].

2.2. Comparison with Other Bryophyte Plastomes

Multiple complete bryophyte plastomes available provide an opportunity to compare the sequence variation at the genome-level. We therefore compared the whole plastome sequence of S. uncinata with those of mosses T. ruralis, P. patens, T. pellucida, the liverwort M. polymorpha and hornwort A. formosae. The sequence identity between all five bryophyte plastomes was plotted using the mVISTA program with the annotation of S. uncinata as a reference (Figure 2).

Sequence similarities of the genes between S. uncinata and other bryophytes (mosses, liverwort and hornwort) were compared (Table S1). The rRNA genes (rrn5, rrn16, rrn4.5 and rrn23) in the IRs region showed the highest sequence similarity (average 98.3–96.1%) and PSII-associated genes such as psbL, psbA, psbN, psbZ, psbE, psbH, psbK, psbF, psbB, psbD and psbJ, which also displayed high levels of sequence similarity (average 93.9–89.8%). Genes for large subunit ribosomal proteins (rpl32, rpl20, rpl33 and rpl23) and a small subunit ribosomal protein (rps12) were relatively more conserved than other coding genes. Notably, the highest sequence variation occurred in the matK gene (average 79.4%), widely known to be evolved rapidly and thus often used as a barcoding marker in phylogenetic and evolutionary studies [34,36], suggesting that this gene has also undergone evolutionary pressure within bryophytes. Following this, genes such as rpoC2, petB atpE, atpF and rpl22 showed lower similarity (average 80.2–83.5%) than other plastid genes in order (Table S1). Those genes with large sequence variations had evolutionary significance in inferring divergence times and branching patterns among early land plant lineages, while relatively less varied genes such as rRNA and PSII-associated genes were well conserved during the evolution of bryophytes.

2.3. Phylogenomic Analysis

Plastome information has provided an important resource for uncovering evolutionary relationships between various plant lineages [20,37]. The whole plastomes and protein-coding genes have been widely used for the reconstruction of phylogenetic relationships among different plant species [38]. The availability of completed S. uncinata plastome provided us with the sequence information to study the molecular evolution and phylogeny of S. uncinata with closely related species.

Phylogenomic analysis of representatives from the bryophyte subfamily including S. uncinata, produced a single, well-supported tree using maximum parsimony (MP) (Figure 3). To do this, a set of 40 protein-coding genes in plastome analyzed in other species were concatenated and these concatenated sequences were used to infer the phylogenetic relationships of 23 taxa including S. uncinata using MEGA7. Phylogenetic analysis based on the multigene dataset revealed that mosses, liverwort and hornwort have been resolved as monophyletic in MP tree (Figure 3). Based on molecular phylogeny results, liverworts are placed in a basal position representing the earliest diverging lineage, while hornworts are the closest relatives of extant vascular plants, corroborating a previously reported branch order of “liverworts (mosses(hornworts(vascular plants)))” [37]. S. uncinata was most related to T. ruralis and formed a sister group with other moss species, which was supported by bootstrap values (100 for both ML and MP). In addition, it provides convincing support for many traditionally recognized genera and identifies higher level phylogenetic structure of mosses [39]. This result suggests that plastome information can effectively resolve phylogenetic positions and evolutionary relationships between different Bryophyte lineages.

The T. ruralis and S. uncinata, two mosses inhabiting extreme environments of polar and alpine regions, share common features in their plastomes–lack of petN and rpoA and presence of trnP-GGG–which is not the case for other two species of P. patens and T. pellucid (Table 4). Due to very scarce taxon sampling and the limitation of available plastome data, it is not clear whether the presence or absence of those genes is related to the resistance or adaptation to the extreme environments where they inhabit. To address this, synapomorphic characteristics developed during adaptation should be investigated together with genome evolution.

2.4. Loss of rpoA and petN in the S. uncinata Plastome

Previous studies on bryophyte plastomes have shown that the overall structure and gene contents of plastomes are highly conserved among different bryophyte lineages [22,23,25,26]. The plastome of S. uncinata also showed a similar level of size and structure when compared to those of other three moss plastomes, P. patens, T. ruralis and T. pellucida. The plastome of S. uncinata did not show a large inversion of the ~71 kb fragment found in the LSC region of P. patens plastome, which follows the cases of T. ruralis and T. pellucida, suggesting that this large inversion is limited to the order Funariales in Bryophyte [22,40] (Figure 4).

While most mosses and plant groups are conserved in the contents of chloroplast genes, certain lineages undergo apparent and frequent gene loss (e.g., rpoA transfer from the chloroplast to the nucleus: [13,22,23]). Two genes encoding α subunit of RNA polymerase (rpoA) and encoding cytochrome b_6/f complex subunit VIII (petN) were absent in the S. uncinata plastome (Figure 4). As discussed in previous moss plastome studies, the most prominent and typical feature of the plastomes of moss is the absence of rpoA, which is thought to have disappeared together with ycf5, cysA, cysT after the divergence of the mosses from the hepatic bryophytes [22,41]. We could not identify rpoA with cysT and cysA in the S. uncinata plastome, which means that the S. uncinata plastome follows the typical characteristics of moss plastomes (Table 4, Figure 4). The loss of petN reported in other mosses, except in P. patens [22], was also observed in the S. uncinata plastome (Table 4, Figure 4). The presence of trnP-GGG also varied depending on species [13,23], the gene was present in the plastomes of S. uncinata and T. ruralis, while it was absent in the plastomes of P. patens and T. pellucida (Table 4).

2.5. Identification of Nuclear Genes Encoding rpoA and petN

Many cyanobacterial genes have been lost or transferred to the nuclear genomes during the transition from endosymbiont to organelle and the chloroplast genome might have been decreased in size [42,43]. Most gene loss occurred early in the endosymbiotic process; however, some losses have occurred in subsequent evolutionary processes [43]. The gene loss and transfer to the nucleus have been especially frequent, sporadic and temporary during the evolution of embryophytes and bryophytes [44]. Revealing why certain genes lose their functions is of great importance in the genome evolution of chloroplast, enabling the reconstruction of genomic events that occurred after the split of vascular plants and moss.

Therefore, to verify the chance of the nuclear relocation of the lost two chloroplast genes encoding the α subunit of RNA polymerase (rpoA) and cytochrome b_6/f complex subunit VIII (petN), we used blast to search for putative homologues against the draft sequences of the S. uncinata nuclear genome (unpublished results), as a result, we found one target sequence for each gene and then verified the sequences of PCR amplified fragments (nucleotide sequences are listed in Table S3), respectively, which might function as the replaced gene for rpoA or petN in S. uncinata. To check whether those nuclear genes would have a conserved function with chloroplastic genes, we performed a comparative alignment of nuc-rpoA (nuclear-rpoA) and nuc-petN (nuclear-petN) of S. uncinata with the homologous corresponding genes of P. patens, M. polymorpha, A. formosae and A. thaliana (Figure 5). Particularly, for P. patens, the nuc-rpoA sequence (Pp nuc-rpoA) was used in the alignment [20]. The nuc-rpoA sequence showed 41% identity with the nuc-rpoA sequence of P. patens, 76% of M. polymorpha, 66% of A. formosae and 67% of A. thaliana of the other cp-rpoA sequence from other compared species. The nuclear petN sequence showed 59–79% identified with the other chloroplastic petN sequence from other compared species P. patens (79%), A. formosae (59%) and A. thaliana (76%), respectively. When the sequences were scanned in the signalP 4.1 program [45] (SignalP 4.1 server; http://www.cbs.dtu.dk/services/Signal P), we could identify the signal peptide which targets chloroplast at the 5′ terminus of the nuc-rpoA gene of S. uncinata (Figure 5), suggesting that those genes would be localized in the chloroplast after being translated and functioned as other cp-rpoA or cp-petN genes in chloroplasts. This is very similar to the case of nuc-rpoA of P. patens, which has been shown to target the chloroplast organelle by the fluorescence-labelled protein method [22]. It would therefore be very interesting to prove that the proteins encoded by these nuclear genes actually constitute the chloroplastic-RNA polymerase complex or the Cyt b_6/_f complex in the moss protein expression system.

2.6. Prediction of RNA Editing Sites of Chloroplast Genes

Genetic information on DNA is sometimes altered at the transcript level by a process known as RNA editing, a sequence-specific post transcriptional modification resulting in the conversion, insertion, or deletion of nucleotides in a precursor RNA [46,47]. Such modifications are observed across organisms and have been reported with the discovery of C to U as well as U to C conversions in mitochondria and chloroplast in plants [48,49,50]. Since the first evidence of RNA editing in chloroplasts was found 24 years ago [51], RNA editing has been found in chloroplast transcripts from all major lineages of land plants [52]. In general, it is known that extensive RNA-editing occurs in hornworts and ferns when compared to seed plants [53]. The number of shared editing sites increases in closely related taxa, implying that RNA editing sites are evolutionarily conserved.

We predicted 72 editing sites in 22 protein coding genes by analyzing chloroplast coding sequences of S. uncinata using the PREP [54] and PREPACT 2.0-chloroplast program (http://www.prepact.de) [55] (Table S4). Most RNA editings are known to occur at the second codon position [56], with a frequency from 58.6% in hornwort to 68% in fern, 80% or 73.1% in Cycad taitungensis and Pinus thunbergii, respectively, 85.3%, 91.9% and 92% in Arabidopsis thaliana, Nicotiana tabacum and Zea mays, respectively, and up to 95.2% in Oryza sativa [57]. The RNA-editing of S. uncinata were mostly C-U editing events enriched at the second positions (64/72, 89%) as well, which allowed for the identification of the putative amino acid conversion by RNA editing (A-V, P-L, S-L, S-F, T-M and T-I).

3. Materials and Methods

3.1. Ethics Statement

Sample collection and field activities were carried out for scientific purposes in accordance with the Protocol on Environmental Protection to the Antarctic Treaty and approved by the Ministry of Foreign Affairs and Trade of the Republic of Korea (International Legal Affairs Division document No. 4029, approved on 18 December 2014). Sampling sites were not located within Antarctic Specially Protected Areas and no protected species were sampled in this study.

3.2. Plant Culture Conditions

Sanionia uncinata (Hedw.) Loeske plants growing under natural conditions were collected in the vicinity of the Korean King Sejong Antarctic Station (62°14′29′′ S; 58°44′18′′ W) on the Barton Peninsula of King George Island during the austral summer (mainly in January 2012) and then transferred to the lab and grown hydroponically in BCDAT solid media under a 16:8 h light:dark cycle at 15 °C.

3.3. Library Preparation and Sequencing

The total genomic DNA was extracted from tissues of plants using the DNeasy Plant Mini Kit (Qiagen). The quality of DNA was checked by Bioanalyzer 2100 (Aligent, Santa Clara, CA, USA). Library quantification was performed using the KAPA Library Quantification Kit (KAPA Biosystems, Boston, MA, USA). Paired-end cluster generation and sequencing were performed on the Illumina MiSeq, with each library being allocated to one lane of a flow cell. For the DNA library, TruSeq DNA sample preparation kits were used and sequenced in one lane of Illumina MiSeq 300 X 2 bp. The files containing the sequences and quality scores of reads were deposited in the NCBI Short Read Archive and the accession numbers are SRR6440975 genomic DNA-Seq (BioProject PRJNA428497).

3.4. Assembly and Annotation

After performing read preprocessing including adapter removal and quality filtering, the high-quality raw reads were aligned to 3 publicly available moss plastomes (Physcomitrella patens NC_005087, Tortula ruralis NC_012052 and Tetraphis pellucida NC_024291) downloaded from the NCBI organelle genome resources. The chloroplast reads were recovered from whole genome sequences by identifying them based on the alignment results and then de novo assembled using CLC Genomics Workbench V7.5 (CLC bio, Aarhus, Denmark). The assembled contigs were ordered based on their position in the reference plastome of T. ruralis because T. ruralis was identified as the top-hit species when BLAST searches were performed against the nr database. All gaps and junction regions between contigs and highly variable regions were validated by Sanger sequencing. The complete plastome was annotated using the program online software DOGMA [58] with default parameters, tRNAscan-SE [59] and BLAST similarity search tools from NCBI. OGDraw was used for map drawing [31]. The final S. uncinata plastome sequence has been submitted to GenBank (Accession: NC_025668).

3.5. Genome Alignment

The complete plastome sequences of 7 species were aligned using the mVISTA online suite [60]. A comparison of Sanionia uncinata (NC_025668) plastome structures with Physcomiterella patens (NC_005087), Tortula ruralis (NC_012052), Tetraphis geniculate (NC_024291), Marchantia polymorpha (NC_001319) and Anthoceros formosae (NC_004543), which are all in the bryophyte, was performed using the mVISTA program in Shuffle-LAGAN mode [60]. Default parameters were applied and the sequence annotation information of S. uncinata was used. Percentage identity between each plastome, all relative to that of S. uncinata, was subsequently visualized through an mVISTA plot. The mVISTA program only compared the sequence similarity by aligning the entire plastomes of all 6 taxa and the ~71 Kb inversion region of P. patens was reversed to match with other plastomes.

3.6. Phylogenetic Analysis

A set of 40 protein-coding genes, which have been analyzed in other species (accession numbers are listed in Table S2 and 40 protein-coding genes sequence of plastomes derived from 23 plants in Table S5), were used to infer the phylogenetic relationships among S. uncinata. Sequences were aligned using ClustalW. Phylogenetic analyses using maximum parsimony (MP) and maximum likelihood (ML) were performed, with MEGA7 [61]. For the MP analyses, the Subtree-Pruning-Regrafting algorithm was used with search level 1 in which the initial trees were obtained by the random addition of sequences (10 replicates). Sites with gaps or missing data were excluded from the analysis and statistical support was achieved through bootstrapping using 1000 replicates. For the ML analyses, the “Models” function of MEGA7 was used to find the best model for ML analysis. The Jones-Taylor-Thornton (JTT) + G + I + F model which was estimated to be the Best-Fit substitution model showing the lowest Bayesian Information Criterion, was employed in subsequent analyses. All positions containing gaps and missing data were eliminated. Bootstrap support was estimated with 1000 bootstrap replicates.

3.7. Prediction of RNA-Editing Sites

The RNA editing sites (C-to-U) in protein-coding genes were predicted by the online program Plant RNA Editing Prediction and Analysis Computer Tool (PREPACT 2.0) (http://www.prepact.de) [55] and Predictive RNA Editor for Plants (PREP) suite (http://prep.unl.edu/) [54] with a cutoff value of 0.8.

4. Conclusions

This study provided the whole sequence of the S. uncinata plastome, the dominant species of the Antarctic Peninsula, with information on the sequence and regulatory regions of chloroplast genes. We completed the S. uncinata plastome using a high-throughput sequencing method. The sequence and structure of S. uncinata were well conserved with the moss plastome sequences and was the most similar to the plastome sequence of T. ruralis. We confirmed that the two genes coding for rpoA and petN were lost in the S. uncinata plastome through comparative analysis of the plastome contents of the representative species of land plants and the sequence analysis results suggested the possibility of their relocation from plastome to nuclear genome. Our results also suggested that the possibility of post-transcriptional regulation of the chloroplast genes of S. uncinata by predicting the RNA-editing site. These results will contribute not only to the functional utilization of chloroplast genes but also to systematic phylogenetic analysis of land plants using whole plastome sequences.

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/1422-0067/19/3/709/s1.

Acknowledgments

This work was supported by “Polar Genome 101 Project: Genome Analysis of Polar Organisms and Establishment of Application Platform (PE18080)” and “Modeling responses of terrestrial organisms to environmental changes on King George Island (PE18090)” funded by the Korea Polar Research Institute.

Author Contributions

Hyoungseok Lee, Hyun Park and Jungeun Lee conceived and designed the experiment; Mira Park performed the experiments; Mira Park, Hyoungseok Lee, Byeong-ha Lee and Jungeun Lee analyzed the data and wrote the paper. All authors read and approved the final version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

LSC	Large single copy
SSC	Small single copy
IR	Inverted repeat
Cp	Chloroplast
nuc	Nucleus
MP	Maximum parsimony
ML	Maximum likelihood
A	Adenine
T	Thymine
G	Guanine
C	cytosine

References

Bramley-Alves, J.; King, D.H.; Robinson, S.A.; Miller, R.E. Dominating the Antarctic environment: Bryophytes in a time of change. In Photosynthesis in Bryophytes and Early Land Plants; Hanson, D., Rice, S., Eds.; Springer Netherlands: Dordrecht, The Netherlands, 2014; pp. 309–324. [Google Scholar]
Smith, R.L. Introduced plants in Antarctica: Potential impacts and conservation issues. Biol. Conserv. 1996, 76, 135–146. [Google Scholar] [CrossRef]
Victoria, F.D.C.; Pereira, A.B.; da Costa, D.P. Composition and distribution of moss formations in the ice-free areas adjoining the Arctowski region, admiralty bay, King George Island, Antarctica. Iheringia Ser. Bot. 2009, 64, 81–91. [Google Scholar]
Hedenäs, L. Global phylogeography in Sanionia uncinata (amblystegiaceae: Bryophyta). Bot. J. Linn. Soc. 2011, 168, 19–42. [Google Scholar] [CrossRef]
Nakatsubo, T. Predicting the impact of climatic warming on the carbon balance of the moss Sanionia uncinata on a maritime Antarctic island. J. Plant Res. 2002, 115, 99–106. [Google Scholar] [CrossRef] [PubMed]
Hokkanen, P.J. Environmental patterns and gradients in the vascular plants and bryophytes of eastern Fennoscandian herb-rich forests. For. Ecol. Manag. 2006, 229, 73–87. [Google Scholar] [CrossRef]
Kushnevskaya, H.; Mirin, D.; Shorohova, E. Patterns of epixylic vegetation on spruce logs in late-successional boreal forests. For. Ecol. Manag. 2007, 250, 25–33. [Google Scholar] [CrossRef]
Samecka-Cymerman, A.; Wojtuń, B.; Kolon, K.; Kempers, A. Sanionia uncinata (Hedw.) loeske as bioindicator of metal pollution in polar regions. Polar Biol. 2011, 34, 381–388. [Google Scholar] [CrossRef]
Lud, D.; Moerdijk, T.; Van de Poll, W.; Buma, A.; Huiskes, A. DNA damage and photosynthesis in Antarctic and Arctic Sanionia uncinata (hedw.) Loeske under ambient and enhanced levels of UV-B radiation. Plant Cell Environ. 2002, 25, 1579–1589. [Google Scholar] [CrossRef]
Lud, D.; Schlensog, M.; Schroeter, B.; Huiskes, A. The influence of UV-B radiation on light-dependent photosynthetic performance in Sanionia uncinata (Hedw.) Loeske in Antarctica. Polar Biol. 2003, 26, 225–232. [Google Scholar]
Zúñiga-González, P.; Zúñiga, G.E.; Pizarro, M.; Casanova-Katny, A. Soluble carbohydrate content variation in Sanionia uncinata and polytrichastrum alpinum, two Antarctic mosses with contrasting desiccation capacities. Biol. Res. 2016, 49, 6. [Google Scholar] [CrossRef] [PubMed]
Van Gaalen, K.E.; Flanagan, L.B.; Peddle, D.R. Photosynthesis, chlorophyll fluorescence and spectral reflectance in sphagnum moss at varying water contents. Oecologia 2007, 153, 19–28. [Google Scholar] [CrossRef] [PubMed]
Oliver, M.J.; Murdock, A.G.; Mishler, B.D.; Kuehl, J.V.; Boore, J.L.; Mandoli, D.F.; Everett, K.D.; Wolf, P.G.; Duffy, A.M.; Karol, K.G. Chloroplast genome sequence of the moss Tortula ruralis: Gene content, polymorphism and structural arrangement relative to other green plant chloroplast genomes. BMC Genom. 2010, 11, 143. [Google Scholar] [CrossRef] [PubMed]
Gray, M.W. The evolutionary origins of organelles. Trends Genet. 1989, 5, 294–299. [Google Scholar] [CrossRef]
Howe, C.J.; Barbrook, A.C.; Koumandou, V.L.; Nisbet, R.E.R.; Symington, H.A.; Wightman, T.F. Evolution of the chloroplast genome. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2003, 358, 99–107. [Google Scholar] [CrossRef] [PubMed]
Sugiura, M. The chloroplast chromosomes in land plants. Annu. Rev. Cell Biol. 1989, 5, 51–70. [Google Scholar] [CrossRef] [PubMed]
Neuhaus, H.; Emes, M. Nonphotosynthetic metabolism in plastids. Annu. Rev. Plant Biol. 2000, 51, 111–140. [Google Scholar] [CrossRef] [PubMed]
Daniell, H.; Lin, C.-S.; Yu, M.; Chang, W.-J. Chloroplast genomes: Diversity, evolution and applications in genetic engineering. Genome Biol. 2016, 17, 134. [Google Scholar] [CrossRef] [PubMed]
Chumley, T.W.; Palmer, J.D.; Mower, J.P.; Fourcade, H.M.; Calie, P.J.; Boore, J.L.; Jansen, R.K. The complete chloroplast genome sequence of pelargonium× hortorum: Organization and evolution of the largest and most highly rearranged chloroplast genome of land plants. Mol. Biol. Evol. 2006, 23, 2175–2190. [Google Scholar] [CrossRef] [PubMed]
Karol, K.G.; Arumuganathan, K.; Boore, J.L.; Duffy, A.M.; Everett, K.D.; Hall, J.D.; Hansen, S.K.; Kuehl, J.V.; Mandoli, D.F.; Mishler, B.D. Complete plastome sequences of Equisetum arvense and isoetes flaccida: Implications for phylogeny and plastid genome evolution of early land plant lineages. BMC Evol. Biol. 2010, 10, 321. [Google Scholar] [CrossRef] [PubMed]
Coordinators, N.R. Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2016, 44, D7–D19. [Google Scholar]
Sugiura, C.; Kobayashi, Y.; Aoki, S.; Sugita, C.; Sugita, M. Complete chloroplast DNA sequence of the moss Physcomitrella patens: Evidence for the loss and relocation of rpoA from the chloroplast to the nucleus. Nucleic Acids Res. 2003, 31, 5324–5331. [Google Scholar] [CrossRef] [PubMed]
Bell, N.E.; Boore, J.L.; Mishler, B.D.; Hyvönen, J. Organellar genomes of the four-toothed moss, Tetraphis pellucida. BMC Genom. 2014, 15, 383. [Google Scholar] [CrossRef] [PubMed]
Lewis, L.R.; Liu, Y.; Rozzi, R.; Goffinet, B. Infraspecific variation within and across complete organellar genomes and nuclear ribosomal repeats in a moss. Mol. Phylogenet. Evol. 2016, 96, 195–199. [Google Scholar] [CrossRef] [PubMed]
Kugita, M.; Kaneko, A.; Yamamoto, Y.; Takeya, Y.; Matsumoto, T.; Yoshinaga, K. The complete nucleotide sequence of the hornwort (Anthoceros formosae) chloroplast genome: Insight into the earliest land plants. Nucleic Acids Res. 2003, 31, 716–721. [Google Scholar] [CrossRef] [PubMed]
Ohyama, K.; Fukuzawa, H.; Kohchi, T.; Shirai, H.; Sano, T.; Sano, S.; Umesono, K.; Shiki, Y.; Takeuchi, M.; Chang, Z. Chloroplast gene organization deduced from complete sequence of liverwort Marchantia polymorpha chloroplast DNA. Nature 1986, 322, 572–574. [Google Scholar] [CrossRef]
Wakasugi, T.; Tsudzuki, T.; Sugiura, M. The genomics of land plant chloroplasts: Gene content and alteration of genomic information by RNA editing. Photosynth Res. 2001, 70, 107–118. [Google Scholar] [CrossRef] [PubMed]
Lee, J.; Kang, Y.; Shin, S.C.; Park, H.; Lee, H. Combined analysis of the chloroplast genome and transcriptome of the Antarctic vascular plant Deschampsia antarctica Desv. PLoS ONE 2014, 9, e92501. [Google Scholar] [CrossRef] [PubMed]
Maul, J.E.; Lilly, J.W.; Cui, L.; Miller, W.; Harris, E.H.; Stern, D.B. The Chlamydomonas reinhardtii plastid chromosome islands of genes in a sea of repeats. Plant Cell 2002, 14, 2659–2679. [Google Scholar] [CrossRef] [PubMed]
Turmel, M.; Pombert, J.-F.; Charlebois, P.; Otis, C.; Lemieux, C. The green algal ancestry of land plants as revealed by the chloroplast genome. Int. J. Plant Sci. 2007, 168, 679–689. [Google Scholar] [CrossRef]
Lohse, M.; Drechsel, O.; Kahlau, S.; Bock, R. OrganellarGenomeDRAW—A suite of tools for generating physical maps of plastid and mitochondrial genomes and visualizing expression data sets. Nucleic Acids Res. 2013, 41, W575–W581. [Google Scholar] [CrossRef] [PubMed]
Turmel, M.; Otis, C.; Lemieux, C. The chloroplast and mitochondrial genome sequences of the charophyte Chaetosphaeridium globosum: Insights into the timing of the events that restructured organelle DNAs within the green algal lineage that led to land plants. Proc. Natl. Acad. Sci. USA 2002, 99, 11275–11280. [Google Scholar] [CrossRef] [PubMed]
Jansen, R.K.; Ruhlman, T.A. Plastid genomes of seed plants. In Genomics of Chloroplasts and Mitochondria; Bock, R., Knoop, V., Eds.; Springer Netherlands: Dordrecht, The Netherlands, 2012; pp. 103–126. [Google Scholar]
Barthet, M.M.; Hilu, K.W. Expression of matK: Functional and evolutionary implications. Am. J. Bot. 2007, 94, 1402–1412. [Google Scholar] [CrossRef] [PubMed]
Quax, T.E.; Claassens, N.J.; Söll, D.; van der Oost, J. Codon bias as a means to fine-tune gene expression. Mol. Cell 2015, 59, 149–161. [Google Scholar] [CrossRef] [PubMed]
Hausner, G.; Olson, R.; Simon, D.; Johnson, I.; Sanders, E.R.; Karol, K.G.; McCourt, R.M.; Zimmerly, S. Origin and evolution of the chloroplast trnK (matK) intron: A model for evolution of group II intron RNA structures. Mol. Biol. Evol. 2005, 23, 380–391. [Google Scholar] [CrossRef] [PubMed]
Gao, L.; Su, Y.J.; Wang, T. Plastid genome sequencing, comparative genomics and phylogenomics: Current status and prospects. J. Syst. Evol. 2010, 48, 77–93. [Google Scholar] [CrossRef]
Shaw, J.; Lickey, E.B.; Schilling, E.E.; Small, R.L. Comparison of whole chloroplast genome sequences to choose noncoding regions for phylogenetic studies in angiosperms: The tortoise and the hare III. Am. J. Bot. 2007, 94, 275–288. [Google Scholar] [CrossRef] [PubMed]
Cox, C.J.; Goffinet, B.; Wickett, N.J.; Boles, S.B.; Shaw, A.J. Moss diversity: A molecular phylogenetic analysis of genera. Phytotaxa 2014, 9, 175–195. [Google Scholar] [CrossRef]
Goffinet, B.; Wickett, N.J.; Werner, O.; Ros, R.M.; Shaw, A.J.; Cox, C.J. Distribution and phylogenetic significance of the 71-kb inversion in the plastid genome in Funariidae (Bryophyta). Am. J. Bot. 2007, 99, 747–753. [Google Scholar] [CrossRef] [PubMed]
Wicke, S.; Schneeweiss, G.M.; Müller, K.F.; Quandt, D. The evolution of the plastid chromosome in land plants: Gene content, gene order, gene function. Plant Mol. Biol. 2011, 76, 273–297. [Google Scholar] [CrossRef] [PubMed]
Martin, W.; Rujan, T.; Richly, E.; Hansen, A.; Cornelsen, S.; Lins, T.; Leister, D.; Stoebe, B.; Hasegawa, M.; Penny, D. Evolutionary analysis of Arabidopsis, cyanobacterial and chloroplast genomes reveals plastid phylogeny and thousands of cyanobacterial genes in the nucleus. Proc. Natl. Acad. Sci. USA 2002, 99, 12246–12251. [Google Scholar] [CrossRef] [PubMed]
Martin, W.; Stoebe, B.; Goremykin, V.; Hansmann, S.; Hasegawa, M.; Kowallik, K.V. Gene transfer to the nucleus and the evolution of chloroplasts. Nature 1998, 393, 162–165. [Google Scholar] [CrossRef] [PubMed]
Rensing, S.A.; Lang, D.; Zimmer, A.D.; Terry, A.; Salamov, A.; Shapiro, H.; Nishiyama, T.; Perroud, P.-F.; Lindquist, E.A.; Kamisugi, Y. The Physcomitrella genome reveals evolutionary insights into the conquest of land by plants. Science 2008, 319, 64–69. [Google Scholar] [CrossRef] [PubMed]
Petersen, T.N.; Brunak, S.; von Heijne, G.; Nielsen, H. SignalP 4.0: Discriminating signal peptides from transmembrane regions. Nat. Methods 2011, 8, 785–786. [Google Scholar] [CrossRef] [PubMed]
Wakasugi, T.; Hirose, T.; Horihata, M.; Tsudzuki, T.; Kössel, H.; Sugiura, M. Creation of a novel protein-coding region at the RNA level in black pine chloroplasts: The pattern of RNA editing in the gymnosperm chloroplast is different from that in angiosperms. Proc. Natl. Acad. Sci. USA 1996, 93, 8766–8770. [Google Scholar] [CrossRef] [PubMed]
Zandueta-Criado, A.; Bock, R. Surprising features of plastid ndhD transcripts: Addition of non-encoded nucleotides and polysome association of mRNAs with an unedited start codon. Nucleic Acids Res. 2004, 32, 542–550. [Google Scholar] [CrossRef] [PubMed]
Covello, P.S.; Gray, M.W. RNA editing in plant mitochondria. Nature 1989, 341, 662–666. [Google Scholar] [CrossRef] [PubMed]
Gualberto, J.M.; Lamattina, L.; Bonnard, G.; Weil, J.-H.; Grienenberger, J.-M. RNA editing in wheat mitochondria results in the conservation of protein sequences. Nature 1989, 341, 660–662. [Google Scholar] [CrossRef] [PubMed]
Hiesel, R.; Wissinger, B.; Schuster, W.; Brennicke, A. RNA editing in plant mitochondria. Science 1989, 246, 1632–1634. [Google Scholar] [CrossRef] [PubMed]
Hoch, B.; Maier, R.M.; Appel, K.; Igloi, G.L.; Kössel, H. Editing of a chloroplast mRNA by creation of an initiation codon. Nature 1991, 353, 178–180. [Google Scholar] [CrossRef] [PubMed]
Freyer, R.; Kiefer-Meyer, M.-C.; Kössel, H. Occurrence of plastid RNA editing in all major lineages of land plants. Proc. Natl. Acad. Sci. USA 1997, 94, 6285–6290. [Google Scholar] [CrossRef] [PubMed]
Stern, D.B.; Goldschmidt-Clermont, M.; Hanson, M.R. Chloroplast RNA metabolism. Annu. Rev. Plant Biol. 2010, 61, 125–155. [Google Scholar] [CrossRef] [PubMed]
Mower, J.P. The prep suite: Predictive RNA editors for plant mitochondrial genes, chloroplast genes and user-defined alignments. Nucleic Acids Res. 2009, 37, W253–W259. [Google Scholar] [CrossRef] [PubMed]
Lenz, H.; Knoop, V. PREPACT 2.0: Predicting C-to-U and U-to-C RNA editing in organelle genome sequences with multiple references and curated RNA editing annotation. Bioinform. Biol. Insights 2013, 7, 1–19. [Google Scholar] [CrossRef] [PubMed]
Bock, R. Sense from nonsense: How the genetic information of chloroplastsis altered by RNA editing. Biochimie 2000, 82, 549–557. [Google Scholar] [CrossRef]
Chen, H.; Deng, L.; Jiang, Y.; Lu, P.; Yu, J. RNA editing sites exist in protein-coding genes in the chloroplast genome of Cycas taitungensis. J. Integr. Plant Biol. 2011, 53, 961–970. [Google Scholar] [CrossRef] [PubMed]
Wyman, S.K.; Jansen, R.K.; Boore, J.L. Automatic annotation of organellar genomes with DOGMA. Bioinformatics 2004, 20, 3252–3255. [Google Scholar] [CrossRef] [PubMed]
Schattner, P.; Brooks, A.N.; Lowe, T.M. The tRNAscan-SE, snoscan and snoGPS web servers for the detection of tRNAs and snoRNAs. Nucleic Acids Res. 2005, 33, W686–W689. [Google Scholar] [CrossRef] [PubMed]
Frazer, K.A.; Pachter, L.; Poliakov, A.; Rubin, E.M.; Dubchak, I. Vista: Computational tools for comparative genomics. Nucleic Acids Res. 2004, 32, W273–W279. [Google Scholar] [CrossRef] [PubMed]
Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [PubMed]

Figure 1. Map of the Sanionia uncinata plastome. Complete plastome sequences were obtained from the de novo assembly of Illumina paired-end reads. Genes are color coded by functional group, which are located in the left box. The inner darker gray circle indicates the GC content while the lighter gray corresponds to AT content. IR, inverted repeat; LSC, large single copy region; SSC, small single copy region. Genes shown on the outside of the outer circle are transcribed clockwise and those on the inside counter clockwise. The map was made with OGDraw [31].

Figure 2. Alignment of complete plastome sequences from six species. Alignment and comparison were performed using mVISTA and the percentage of identity between the plastomes was visualized in the form of an mVISTA plot. The sequence similarity of the aligned regions between S. uncinata and other five species is shown as horizontal bars indicating average percent identity between 50–100% (shown on the y-axis of graph). The x-axis represents the coordinate in the plastome. Genome regions are color-coded for protein-coding (exon), rRNA, tRNA and conserved non-coding sequences (CNS) as the guide at the bottom-left.

Figure 3. Phylogenetic tree reconstruction of 23 taxa using MEGA7 based on concatenated sequences of 40 protein-coding genes in the plastome. Maximum likelihood (ML) topology is shown with the bootstrap support values (MP/ML) given at nodes. Forty protein-coding sequences were extracted from annotated plastomes found in GenBank [21] (http://www.ncbi.nlm.nih.gov) (Table S2). The nucleotide sequences for each gene were translated into amino acids, aligned in MEGA7 and manually adjusted. Nucleotide sequences were aligned by constraining them to the amino acid sequence alignment. Individual gene alignments were then assembled into a single dataset.

Figure 4. Comparison of the large inversion in the LSC region among six bryophytes plastomes. In comparative LSC region alignment of rpoA, petN coding regions from M. polymorpha, S. uncinata, T. ruralis, T. pellucida and P. patens. The inverted-arrangement of 71 kb fragment was only detected for P. patens.

Figure 5. Amino acid alignment of (A) nuc-rpoA and (B) nuc-petN genes of S. uncinata with the nuc-rpoA or cp-rpoA and cp-petN genes from other green plants. Identical amino acid residues are boxed in black, other residues are printed in grey. Signal peptide sequences were predicted using SignalP [45] and shown as double arrow lines and the asterisk.

Table 1. Genes present in the S. uncinata plastome.

Gene Products	Genes
Photosystem I	psaA, B, C, I, J, M
Photosystem II	psbA, B, C, D, E, F, H, I, J, K, L, M, N, T, Z
Cytochrome b6/f	petA, B ^a, D ^a, G, L
ATP synthase	atpA, B, E, F ^a, H, I
Translation factor	infA
Chlorophyll biosynthesis	chlB, L, N
Rubisco	rbcL
NADH oxidoreductase	ndhA ^a, B ^a, C, D, E, F, G, H, I, J, K
Large subunit ribosomal proteins	rpl2 ^a, 14, 16 ^a, 20, 21, 22, 23, 32, 33, 36
Small subunit ribosomal proteins	rps2, 3, 4, 7, 8, 11, 12 ^a^,b, 14, 15, 18, 19
RNAP	rpoB, C1 ^a, C2
Other proteins	accD, cemA, clpP ^c, matK
Proteins of unknown function	ycf1, 2, 3 ^c, 4, 12, 66 ^a
Ribosomal	rrn4.5 ^d, 5 ^d, 16 ^d, 23 ^d
Transfer RNAs	trnA(UGC) ^a^,d, C(GCA), D(GUC), E(UUC), F(GAA), G(UCC) ^a, G(UCC), H(GUG), I(CAU), I(GAU) ^a^,d, K(UUU) ^a, L(CAA), L(UAA) ^a, L(UAG), fM(CAU), M(CAU), N(GUU) ^d, P(UGG), P(GGG), Q(UUG), R(ACG) ^d, R(CCG), R(UCU), S(GCU), S(GGA), S(UGA), T(GGU), T(UGU), V(GAC) ^d, V(UAC) ^a, W(CCA), Y(GUA)

^a Gene containing a single intron; ^b Gene divided into two independent transcription units; ^c Gene containing two introns; ^d Two gene copies in the IRs.

Table 2. The genes with introns in the S. uncinata plastome and the length of the exons and introns.

Gene	Location	Length (bp)
Gene	Location	Exon I	Intron I	Exon II	Intron II	Exon III
rps12	LSC	114	-	270
ndhB	LSC	729	629	780
ycf66	LSC	106	591	320
rpoC1	LSC	423	789	1614
atpF	LSC	411	654	135
ycf3	LSC	126	684	228	739	153
clpP	LSC	69	687	291	483	234
rpl2	LSC	396	637	438
ndhA	SSC	556	731	551
trnK-UUU	LSC	37	2272	42
trnL-UAA	LSC	38	262	50
trnV-UAC	LSC	37	542	37
trnI-GAU	IR	42	769	35
trnA-UGC	IR	38	763	35

Table 3. The codon-anticodon recognition pattern and codon usage for S. uncinata plastome.

Amino Acid	Codon	No. *	tRNA	Amino Acid	Codon	No. *	tRNA
Phe	UUU	2862		Tyr	UAU	1492
Phe	UUC	916	trnF-GAA	Tyr	UAC	578	trnY-GUA
Leu	UUG	688	trnL-UAA	Stop	UAA	1772
Leu	UUA	1766	trnL-CAA	Stop	UAG	577
Leu	CUG	252		His	CAU	550
Leu	CUA	591	trnL-UAG	His	CAC	224	trnH-GUG
Leu	CUU	741		Gln	CAA	685	trnQ-UUG
Leu	CUC	305		Gln	CAG	273
Ile	AUG	1582	trnI-CAU	Asn	AAU	1878
Ile	AUU	1943		Asn	AAC	665	trnN-GUU
Ile	AUC	629	trnI-GAU	Lys	AAA	2942	trnK-UUU
Met	AUG	515	trnfM-CAU	Lys	AAG	768
Val	GUG	244		Asp	GAU	619
Val	GUA	588	trnV-UAC	Asp	GAC	210	trnD-GUC
Val	GUU	652		Glu	GAA	845	trnE-UUC
Val	GUC	237	trnV-GAC	Glu	GAG	286
Ser	AGU	579		Cys	UGU	515
Ser	AGC	470	trnS-GCU	Cys	UGC	362	trnC-GCA
Ser	UCG	272		Stop	UGA	657
Ser	UCA	643	trnS-UGA	Trp	UGG	455	trnW-CCA
Pro	CCG	169		Arg	AGG	387
Pro	CCA	429	trnP-UGG	Arg	AGA	732	trnR-UCU
Pro	CCU	423		Arg	CGG	164	trnR-CCG
Pro	CCC	230	trnP-GGG	Arg	CGA	322
Thr	ACG	228		Arg	CGU	270	trnR-ACG
Thr	ACA	508	trnT-UGU	Arg	CGC	143
Thr	ACU	561		Ser	UCU	735
Thr	ACC	363	trnT-GGU	Ser	UCC	419	trnS-GGA
Ala	GCG	155		Gly	GGG	426
Ala	GCA	367	trnA-UGC	Gly	GGA	465	trnG-UCC
Ala	GCU	413		Gly	GGU	653
Ala	GCC	514		Gly	GGC	237

* Numerals indicate the frequency of usage of each codon in 40,330 in codons in 82 potential protein-coding genes.

Table 4. Gene contents of plastomes from green alga, bryophytes and land plants.

	Plants *	Genome Size (bp)	petN	rpoA	ccsA	cysA	cysT	ycf66	matK	rps15	trnP-GGG
Alga	Chlorella vulgaris	150,613	-	+	+	+	+	-	-	-	-
Hornwort	Anthoceros formosae	161,162	+	+	+	+	+	-	Ψ	Ψ	+
Liverwort	Marchantia polymorpha	121,024	+	+	+	+	+	+	+	+	Ψ
Moss	Tetraphis pellucida	127,489	-	-	-	-	-	+	+	+	-
Moss	Physcomitrella patens	122,890	+	-	-	-	-	+	+	+	-
Moss	Tortula rularis	122,630	-	-	-	-	-	+	+	+	+
Moss	Sanionia uncinata	124,374	-	-	-	-	-	+	+	+	+
Lycopodiophyta	Huperzia lucidula	154,373	+	+	+	-	-	+	+	+	+
Moniliformopses	Equisetum arvense	133,309	+	+	+	-	-	+	+	+	+
Acrogymnospermae	Pinus thunbergii	116,635	+	+	+	-	-	-	+	+	+
Magnoliophyta	Arabidopsis thaliana	154,515	+	+	+	-	-	-	+	+	-

* The annotated plastomes are listed in Table S2. The presence ‘+’ or absence ‘-’ of each molecular character and pseudogenes are marked ‘Ψ’.

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Park, M.; Park, H.; Lee, H.; Lee, B.-h.; Lee, J. The Complete Plastome Sequence of an Antarctic Bryophyte Sanionia uncinata (Hedw.) Loeske. Int. J. Mol. Sci. 2018, 19, 709. https://doi.org/10.3390/ijms19030709

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Park M, Park H, Lee H, Lee B-h, Lee J. The Complete Plastome Sequence of an Antarctic Bryophyte Sanionia uncinata (Hedw.) Loeske. International Journal of Molecular Sciences. 2018; 19(3):709. https://doi.org/10.3390/ijms19030709

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Park, Mira, Hyun Park, Hyoungseok Lee, Byeong-ha Lee, and Jungeun Lee. 2018. "The Complete Plastome Sequence of an Antarctic Bryophyte Sanionia uncinata (Hedw.) Loeske" International Journal of Molecular Sciences 19, no. 3: 709. https://doi.org/10.3390/ijms19030709

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Park, M., Park, H., Lee, H., Lee, B. -h., & Lee, J. (2018). The Complete Plastome Sequence of an Antarctic Bryophyte Sanionia uncinata (Hedw.) Loeske. International Journal of Molecular Sciences, 19(3), 709. https://doi.org/10.3390/ijms19030709

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