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. 2016 Mar 8;7:280. doi: 10.3389/fpls.2016.00280

Complete Chloroplast Genome Sequence of Aquilaria sinensis (Lour.) Gilg and Evolution Analysis within the Malvales Order

Ying Wang 1, Di-Feng Zhan 2, Xian Jia 3, Wen-Li Mei 1, Hao-Fu Dai 1, Xiong-Ting Chen 1,*, Shi-Qing Peng 1,*
PMCID: PMC4781844  PMID: 27014304

Abstract

Aquilaria sinensis (Lour.) Gilg is an important medicinal woody plant producing agarwood, which is widely used in traditional Chinese medicine. High-throughput sequencing of chloroplast (cp) genomes enhanced the understanding about evolutionary relationships within plant families. In this study, we determined the complete cp genome sequences for A. sinensis. The size of the A. sinensis cp genome was 159,565 bp. This genome included a large single-copy region of 87,482 bp, a small single-copy region of 19,857 bp, and a pair of inverted repeats (IRa and IRb) of 26,113 bp each. The GC content of the genome was 37.11%. The A. sinensis cp genome encoded 113 functional genes, including 82 protein-coding genes, 27 tRNA genes, and 4 rRNA genes. Seven genes were duplicated in the protein-coding genes, whereas 11 genes were duplicated in the RNA genes. A total of 45 polymorphic simple-sequence repeat loci and 60 pairs of large repeats were identified. Most simple-sequence repeats were located in the noncoding sections of the large single-copy/small single-copy region and exhibited high A/T content. Moreover, 33 pairs of large repeat sequences were located in the protein-coding genes, whereas 27 pairs were located in the intergenic regions. Aquilaria sinensis cp genome bias ended with A/T on the basis of codon usage. The distribution of codon usage in A. sinensis cp genome was most similar to that in the Gonystylus bancanus cp genome. Comparative results of 82 protein-coding genes from 29 species of cp genomes demonstrated that A. sinensis was a sister species to G. bancanus within the Malvales order. Aquilaria sinensis cp genome presented the highest sequence similarity of >90% with the G. bancanus cp genome by using CGView Comparison Tool. This finding strongly supports the placement of A. sinensis as a sister to G. bancanus within the Malvales order. The complete A. sinensis cp genome information will be highly beneficial for further studies on this traditional medicinal plant. Moreover, the results will enhance our understanding about the evolution of cp genomes of the Malvales order, particularly with regard to the role of A. sinensis in plant systematics and evolution.

Keywords: Aquilaria sinensis (lour.) gilg, chloroplast genome, simple-sequence repeat, relative synonymous codon usage, phylogenetic analysis

Introduction

Plant chloroplasts (cps) are key organelles for photosynthesis and carbon fixation (Neuhaus and Emes, 2000). The cp genome sequence contains useful information in plant systematics because of its maternal inheritance in most angiosperms (Corriveau and Coleman, 1988; Zhang et al., 2003). Substitution rates in plant cp genomes are much lower than those in nuclear genomes (Wolfe et al., 1987). Plant cp genomes are valuable sources of genetic markers for phylogenetic analyses because of their very low level of recombination (Provan et al., 2001; Ravi et al., 2008). The cp DNA sequence was initially discovered during physical mapping of the Zea mays cp, which was produced by digestion with multiple restriction enzymes (Bedbrook and Bogorad, 1976). Subsequently, the first complete nucleotide sequence of Nicotiana tabacum was determined by the clone sequencing of plasmid and cosmid libraries (Kumano, 1986). Over 600 plant cp genomes have been sequenced and deposited in the NCBI Organelle Genome Resources. The cp genome evolution in land plants may be elucidated using these database resources. The cp in angiosperms exhibits a conserved quadripartite structure ranging from 115 to 165 kb in length and consists of one large single-copy (LSC) region, one small single-copy (SSC) region, and two copies of inverted repeat (IR; Palmer, 1991; Raubeson and Jansen, 2005). The Arabidopsis thaliana cp genome contains a circular DNA composed of 154,478 bp with 87 potential protein-coding genes (Sato et al., 1999). The cp DNA from maize (Z. mays) consists of 140,387 bp with a total of 104 genes (Bedbrook and Bogorad, 1976). The complete cp DNA of Cedrus deodara is circular molecule of 119,298 bp with 114 genes (Ching et al., 2010). However, some parasitic plants, such as Conopholis americana, which demonstrate unique life cycles, are exceptions because the sizes of their cp genomes are beyond 115–165 kb, with the smallest plastome of 45 kb in land plants (Wicke et al., 2013). The development of DNA sequencing technology has resulted in the extensive use of cp genomes for molecular marker and molecular phylogenetic studies (Tangphatsornruang et al., 2009; Takano and Okada, 2011; Awasthi et al., 2012; Jheng et al., 2012; Chen and Melis, 2013; Turner et al., 2013; Gaudeul et al., 2014).

Agarwood is widely used as a sedative, digestive, and antiemetic traditional drug. Agarwood sculpturing is valuable for interior decoration and is also popularly used as incense and perfume in Asia. The stems, branches, or roots of Aquilaria and Gyrinops trees are wounded and infected by fungi to produce agarwood (the wounds can be caused by wind, lightning strikes, gnawing of ants or insects, or microorganism invasion). Aquilaria sinensis is the only certified source for producing agarwood listed in China Pharmacopoeia (China pharmacopoeia Committee, 2010). All A. sinensis species are endangered because of the high demand for agarwood products; hence, these species are regulated under the Convention on International Trade in Endangered Species of Wild Fauna and Flora. However, the genomic resources for A. sinensis are limited, and little is known about the composition and organization of its cp genomes and their evolution. In this study, we report the complete cp genome sequence of A. sinensis (GenBank accession number: KT148967) in accordance with the Illumina Hiseq2500 standard protocol. Overall, the results provide basic genetic information on A. sinensis cp and the role of A. sinensis in plant systematics and evolution.

Materials and methods

DNA extraction and sequencing

Aquilaria sinensis fresh leaves were collected from a 2-year-old tree at the Experimental Farm of the Chinese Academy of Tropical Agriculture Sciences, Hainan, PR China. The leaves were cleansed, frozen in liquid nitrogen, and ground using a tissue lyser. DNA was extracted using a Plant Genomic DNA Kit (Foregene Biotech, China). DNA was used to generate 500 bp (insert size) paired-end library in accordance with the Illumina Hiseq2500 standard protocol. Approximately 3.1 Gb of raw data were generated with pair-end 125 bp read length.

De novo CP genome assembly

The obtained nucleotide sequencing reads were qualitatively assessed and assembled to contigs by using SOAPdenovo2 (Luo et al., 2012) with kmer length of 83. The assembled contigs included a mixture of sequences from organellar and nuclear genomes. The average coverage of cp genomes is usually much higher than that of nuclear genomes because many cps are found in a single cell (Steele et al., 2012; Straub et al., 2012). Thus, a complete de novo assembly of the cp genomes was performed using the assembly quality-filtered reads that exhibit high coverage for the cp genomes. We sorted the assembled contigs by contig-read depth analysis of assemblies by using the high correlation between sequencing depth and number of copies in the genome. The quality-filtered reads were remapped to the assembled contigs to calculate the sequencing depth with BWA (Li and Durbin, 2009). Thus, the cp contigs with high coverage (more than 500 ×) were isolated from the nuclear contigs by using the difference of read depths between contigs (Figure S1). All published cp genome sequences of dicotyledons were used as references to map the contigs with BLAST (Table S1) and thus confirm the cp genome contigs. Finally, all isolated cp contigs were combined, and reads were recaptured to isolate more cp DNA reads. Contigs were reassembled and extended to obtain a complete cp genome sequence.

Genomic annotation and analysis

Preliminarily gene annotation was performed using the online program Dual Organellar Genome Annotator (OGDRAW v1.2; Wyman et al., 2004) and cp Genome Annotation, Visualization, Analysis, and GenBank Submission Tool (Cheng et al., 2013) with plastid/bacterial genetic code and default conditions. Putative gene and protein sequences were BLAST-searched in non-redundant nucleotide database and non-redundant protein database to verify the exact gene and exon boundaries. All tRNA genes were further confirmed through online Trnascan-SE and tRNADB-CE search server (Griffiths-Jones et al., 2003; Schattner et al., 2005; Abe et al., 2011). The graphical map of the circular plastome was drawn using Organellar Genome DRAW (Lohse et al., 2007).

Identification of simple-sequence repeats (SSRs)

The genomic sequence was applied to exploit potential SSRs by using MISA software (http://pgrc.ipk-gatersleben.de/misa/). Tandem repeats of 1–6 nucleotides were considered as microsatellites. The minimum numbers of repeats were set to 10, 6, 5, 5, 5, and 5 for mono-, di-, tri-, tetra-, penta-, and hexa-nucleotides, respectively.

Long repeat analysis

Web-based REPuter (http://bibiserv.techfak.uni-bielefeld.de/reputer/) was used to analyze the repeat sequences, which included forward, reverse, and tandem repeats with minimal lengths of 30 bp and edit distances of less than 3 bp.

Codon usage

Codon usage was determined for all protein-coding genes. Statistical analyses of the distributions and visualization of codon usage in the form of heatmaps of 28 species of Angiosperms and histogram were conducted using R language with relative synonymous codon usage (RSCU) value (Sharp and Li, 1987).

RSCU is a simple measure of non-uniform usage of synonymous codons in a coding sequence. The RSCU value is the number of times a particular codon is observed, relative to the number of times that the codon would be observed for a uniform synonymous codon usage (i.e., all codons for a given amino acid exhibit similar probabilities). The RSCU value in the absence of any codon usage bias is 1.00, which is the case for the CDS sequence in the following example. A codon used less frequently than expected will achieve RSCU of <1.00, whereas codons used more frequently than expected may reach RSCU of >1.00.

Phylogenetic analysis

The jModeltest 0.1.1 software was employed to analyze the general GTR+G+I model for nucleotide sequence and HIVb+I+G model for protein sequence by using optimized parameters (Posada, 2008). Phylogenetic analysis was subsequently performed using Maximum likelihood (ML) and Bayesian inference (BI) methods. ML analysis was conducted using RAxML8.1.5 with 1000 bootstrap replicates (Stamatakis, 2014). BI analysis was conducted using Phylobayes 4.1b with two chain max diff <0.01 (Lartillot et al., 2009).

CGView comparison tool (CCT) map

The A. sinensis cp genome was compared with other available cp genomes of Malvales by using CCT (Grant and Stothard, 2008). Genes were signed by Clusters of Orthologous Groups, and BLAST was used to align other genomes to A. sinensis. The results are shown as a circular map. AT distributions were measured on the basis of AT skewed using the equation: AT-skew = (A−T)/(A+T).

Results and discussion

Genome sequencing and assembly

A total of 2.48 × 107 reads with an average read length of 125 bp were obtained after low-quality bases and adapter sequences were trimmed. De novo assembly produced 691,722 contigs (2.78%). The size of the A. sinensis cp genome was 159,565 bp (Figure 1). The genome included an LSC region of 87,482 bp, an SSC region of 19,857 bp, and a pair of IRs (IRa and IRb) of 26,113 bp each (Table 1). The GC content was 37.11% (Table S2). However, the GC content was unevenly distributed in the entire cp genome, with the highest value in the IR regions (42.86%), followed by the LSC (34.95%) and SSC (31.58%) regions. The frequency of codon usage was deduced for the cp genome on the basis of the CDS sequences. Notably, the AT contents were 54.64, 62.31, and 69.34% at the first, second, and third codon positions, respectively, within the protein-coding regions (Table S2). Bias toward higher AT content at the third codon position was consistent with the enrichment of A and T, which has been widely observed in many other sequenced land plant cp genomes (Morton, 1998; Tangphatsornruang et al., 2009; Nie et al., 2012; Qian et al., 2013). The sequences of the A. sinensis cp genome were deposited in GenBank with accession number KT148967.

Figure 1.

Figure 1

Gene map of A. sinensis chloroplast (cp) genome sequence. Organization of the cp genome of A. sinensis showing annotated genes. Genes drawn inside the circle are transcribed clockwise, and those outside are counter clockwise. Genes belonging to different functional groups are color-coded. The inner circle shows the locations of the large single-copy region, small single-copy, and the pair of inverted repeats (IRa and IRb). The darker gray in the inner circle corresponds to GC content, whereas the lighter gray corresponds to AT content.

Table 1.

Gene contents in A. sinensis chloroplast genome.

Category of genes Group of gene Name of gene
Self-replication Small subunit of ribosome rps7* rps11 rps15 rps14 rps19 rps18 rps4 rps3 rps2 rps8 rps12* rps16
Large subunit of ribosome rpl23* rpl20 rpl22 rpl2* rpl36 rpl32 rpl33 rpl14 rpl16
DNA-dependent RNA polymerase rpoB rpoA rpoC2 rpoC1
Ribosomal RNA genes rrn16S* rrn5S* rrn23S* rrn4.5S*
Transfer RNA genes trnQ-TTG trnR-ACG* trnM-CAT trnY-GTA trnH-GTG trnA-TGC* trnP-TGG
trnS-GCT trnN-GTT* trnL-TAG trnG-GCC trnW-CCA trnK-TTT
trnT-TGT trnL-CAA*trnS-TGA trnI-CAT* trnfM-CAT trnF-GAA trnS-GGA
trnV-GAC* trnC-GCA trnD-GTC trnE-TTC trnI-GAT* trnT-GGT
Genes for photosynthesis Subunits of NADH dehydrogenase ndhB* ndhC ndhA ndhF ndhG ndhD ndhE ndhJ ndhK ndhH ndhI
Large subunit of Rubisco rbcL
Subunits of photosystem II psbE psbD psbF psbA psbC psbB psbM psbL psbN psbI psbH psbK psbJ psbT psbZ
Subunits of photosystem I psaI psaJ psaB psaC ycf4 ycf3 psaA
Subunits of ATP synthase atpI atpH atpB atpA atpF atpE
Subunits of cytochrome petD petG petA petB petL petN
Other genes Envelope membrane protein cemA
C-type cytochrome synthesis gene ccsA
Subunit of acetyl-CoA accD
Protease clpP
Maturase matK
Component of TIC complex ycf1
Genes of unknown function Conserved open reading frames ycf2* orf42 orf56
Pseudogenes ycf1* ycf15*
*

Duplicated gene.

Genomic annotation

The draft genome was drawn using OGDRAW v1.2 (Figure 1). The single collapsed IR contig was separated into two repeat regions. Assembly of the two IRs and LSC and SSC contigs covered the complete sequence without gaps. The positions of all genes identified in the cp genome and functional categorization of these genes are presented in Figure 1. The A. sinensis cp genome was 159,565 bp long with a typical quadripartite structure. A total of 113 functional genes were identified, which comprised 82 protein-coding genes, 27 tRNA genes, and 4 rRNA genes (Table 1). Comparing to the genes in other species (Figure S2), little change was found in gene structure. The very low level of recombination was also reported in the cp genome of land plant (Provan et al., 2001; Ravi et al., 2008). Among the 82 protein-coding genes, 75 were single-copy genes, and 7 were duplicates. Among the 31 RNA genes, 20 were unique, and 11 were duplicates. Among the 113 unique genes, 9 genes contained 1 intron (7 protein-coding and 2 tRNA genes), and 1 gene (ycf3) contained 2 introns (Table S3). The ycf3 gene was similar to those in Globe artichoke and Metasequoia glyptostroboides (Chen et al., 2015; Curci et al., 2015). Out of the 10 genes with introns, 3 protein-coding genes were located in the LSC, 1 in the SSC, and 6 (4 protein-coding genes and 2 tRNAs) in the IR region. The ndhA gene presented the largest intron (1148 bp). In addition, ndhB and rpl2 were identified as duplicate genes.

SSR analysis

SSRs consist of 1–6 nucleotide repeat units, which are also known as microsatellites and short tandem repeats (Chen et al., 2006). SSRs are important in plant typing (Yang et al., 2011; Xue et al., 2012) and widely used for genetic molecular markers in population genetics (Doorduin et al., 2011; He et al., 2012). A total of 45 SSR regions were identified using the microsatellite identification tool (MISA) in A. sinensis cp genome (Table 2), accounting for 499 bp of the total sequence (0.3%), and 37 SSRs were only composed of A or T bases. Two SSRs were composed of C bases, and six SSRs were composed of dinucleotide (AT/TA/TC) repeats. Therefore, SSRs in A. sinensis cp genome were rich in AT. Poly(A)/(T) had been reported to exhibit higher proportion relative to poly(G)/(C) in many plant families (Kumar et al., 2009; Melotto-Passarin et al., 2011; Nie et al., 2012; Martin et al., 2013). Among these SSRs, 36 SSRs were located in noncoding sections of the LSC/SSC region, and 9 SSRs in protein-coding genes (rpoC2, rpoB, psbF, cemA, psbN, rps19, and ycf1). No tri- or tetra-nucleotide repeats over 15 bp long were found. The SSRs identified in this study may provide a new perspective to refine the phylogeny and elucidate the origin of cultivars.

Table 2.

Simple sequence repeats in A. sinensis chloroplast genome.

cpSSR ID Repeat motif Length (bp) Start End Region Annotation
1 (A)10 10 1883 1892 LSC
2 (T)10 10 2023 2032 LSC
3 (A)12 12 4127 4138 LSC
4 (A)12 12 4803 4814 LSC
5 (C)10 10 5260 5269 LSC
6 (A)10 10 6662 6671 LSC
7 (A)15 15 7644 7658 LSC
8 (A)11 11 8033 8043 LSC
9 (T)11 11 8380 8390 LSC
10 (T)11 11 9080 9090 LSC
11 (T)10 10 9863 9872 LSC
12 (TA)6 12 10743 10754 LSC
13 (A)10 10 13927 13936 LSC
14 (T)10 10 14100 14109 LSC
15 (TC)7 14 17620 17633 LSC
16 (T)11 11 18009 18019 LSC rpoC2
17 (T)10 10 19917 19926 LSC rpoC2
18 (T)10 10 27649 27658 LSC rpoB
19 (T)10 10 30717 30726 LSC
20 (A)10 10 32194 32203 LSC
21 (T)10 10 44610 44619 LSC
22 (A)10 10 45233 45242 LSC
23 (A)10 10 47349 47358 LSC
24 (A)11 11 47627 47637 LSC
25 (T)10 10 48204 48213 LSC
26 (T)12 12 51015 51026 LSC
27 (T)11 11 51316 51326 LSC
28 (T)10 10 51846 51855 LSC
29 (A)11 11 61867 61877 LSC
30 (T)11 11 62016 62026 LSC
31 (A)11 11 62578 62588 LSC
32 (TA)6 12 62964 62975 LSC
33 (T)10 10 64002 64011 LSC psbF
34 (C)10 10 66343 66352 LSC
35 (T)12 12 67133 67144 LSC cemA
36 (T)11 11 71791 71801 LSC
37 (TA)6 12 77233 77244 LSC psbN
38 (T)15 15 87280 87294 LSC rps19
39 (TA)7 14 113802 113815 SSC
40 (A)10 10 116349 116358 SSC
41 (A)10 10 116494 116503 SSC
42 (T)10 10 117050 117059 SSC
43 (AT)7 14 117644 117657 SSC
44 (T)10 10 129560 129569 SSC ycf1*
45 (T)13 13 132293 132305 SSC ycf1
*

Duplicated gene.

Large repeat analysis

Large repeat sequences showed repeats with length of ≥30 bp each. Sixty pairs of large repeat sequences with sequence identity of >90% were found in the A. sinensis cp genomes (Table 3). The repeats ranged from 30 to 600 bp in length and were repeated twice. A total of 33 large repeat sequences were located in protein-coding genes (e.g., ycf1 and ycf2), and 27 large repeat sequences were located in the intergenic regions. Numerous repeated sequences were identified in cp genomes, particularly in the intergenic spacer regions, and have been reported in several angiosperm lineages (Yang et al., 2013).

Table 3.

Long repeat sequences in A. sinensis chloroplast genome.

id Repeat Start 1 Type Size(bp) Repeat Start 2 Mismatch(bp) E-value Gene Region
1 1471 F 41 71846 −3 4.26E-10 IGS LSC
2 1480 F 41 71855 −3 4.26E-10 IGS LSC
3 1574 F 163 71953 −3 1.00E-81 IGS LSC
4 1587 F 156 71966 −3 1.44E-77 IGS LSC
5 8609 F 31 37664 −3 1.88E-04 IGS LSC
6 41152 F 41 43376 −2 1.09E-11 psaB(CDS); psaA(CDS) LSC
7 46415 F 36 101941 −1 1.64E-10 ycf3(intron); IGS LSC; IRA
8 46415 F 36 124843 −3 2.92E-07 ycf3(intron); ndhA(inton) LSC; SSC
9 46424 F 30 101950 −1 5.59E-07 ycf3(intron); IGS LSC; IRA
10 70177 F 30 70366 −3 6.81E-04 accD(CDS) LSC
11 70195 F 67 70273 −2 6.54E-27 accD(CDS) LSC
12 70195 F 36 70291 −2 8.60E-09 accD(CDS) LSC
13 70199 F 53 70259 −1 1.40E-20 accD(CDS) LSC
14 70218 F 34 70260 −1 2.47E-09 accD(CDS) LSC
15 70260 F 31 70296 −1 1.44E-07 accD(CDS) LSC
16 95892 F 31 95928 −3 1.88E-04 ycf2(CDS) IRA
17 96540 F 31 150227 −3 1.88E-04 ycf15(CDS) IRA; IRB
18 97906 F 30 148863 −2 2.43E-05 IGS IRA; IRB
19 101938 F 41 124840 −2 1.09E-11 IGS; ndhA(intron) IRA; SSC
20 112678 F 31 112720 0 1.55E-09 IGS IRA
21 113385 F 55 113454 0 5.52E-24 IGS IRA
22 118510 F 64 118590 −1 4.04E-27 ccsA(CDS) SSC
23 119996 F 32 120064 −3 5.20E-05 IGS SSC
24 131641 F 30 131707 −3 6.81E-04 ycf1(CDS) SSC
25 132792 F 31 132831 −2 6.50E-06 ycf1(CDS) SSC
26 133153 F 39 133216 −3 5.85E-09 ycf1(CDS) SSC
27 133168 F 38 133231 −1 1.08E-11 ycf1(CDS) SSC
28 133282 F 62 133351 0 3.37E-28 ycf1(CDS) SSC; IRB
29 150839 F 31 150875 −3 1.88E-04 ycf2(CDS) IRB
30 8610 I 30 47858 −1 5.59E-07 IGS LSC
31 37665 I 30 47858 −3 6.81E-04 IGS LSC
32 46415 I 36 144821 −1 1.64E-10 ycf3(intron); IGS LSC; IRB
33 46424 I 30 144818 −1 5.59E-07 ycf1(CDS) LSC; IRB
34 89862 I 30 156882 −3 6.81E-04 ycf2(CDS) IRA; IRB
35 89886 I 30 156906 −3 6.81E-04 ycf2(CDS) IRA; IRB
36 94593 I 38 152149 −2 6.00E-10 ycf2(CDS) IRA; IRB
37 94611 I 38 152167 −2 6.00E-10 ycf2(CDS) IRA; IRB
38 95892 I 31 150839 −3 1.88E-04 ycf2(CDS) IRA; IRB
39 95900 I 41 150839 0 1.48E-15 ycf2(CDS) IRA; IRB
40 95918 I 41 150857 0 1.48E-15 ycf2(CDS) IRA; IRB
41 95928 I 31 150875 −3 1.88E-04 ycf2(CDS) IRA; IRB
42 112668 I 41 134047 −1 1.82E-13 IGS IRA; IRB
43 112668 I 62 134047 −2 5.73E-24 IGS; ycf1(CDS),IGS IRA; IRB
44 112678 I 31 134047 0 1.55E-09 IGS IRA; IRB
45 112689 I 62 134068 −2 5.73E-24 IGS IRA; IRB
46 112699 I 31 134047 −1 1.44E-07 IGS IRA; IRB
47 112710 I 41 134089 −1 1.82E-13 IGS IRA; IRB
48 112720 I 31 134089 0 1.55E-09 IGS IRA; IRB
49 112720 I 31 134068 −1 1.44E-07 IGS IRA; IRB
50 113385 I 70 133274 −1 1.08E-30 IGS; ycf1(CDS) IRA
51 113454 I 55 133358 0 5.52E-24 IGS; ycf1(CDS) IRA; SSC
52 113526 I 530 117403 0 0.00E+00 IGS,rpl(CDS) IRA; SSC
53 124840 I 41 144819 −2 1.09E−11 ndhA(CDS,intron); IGS SSC; IRB
54 59836 T 31 59866 0 1.55E-09 rps18 LSC
55 112668 T 41 112710 −1 1.82E−13 IGS IRA
56 118496 T 78 118576 −3 1.61E−31 IGS SSC
57 132782 T 41 132821 −3 4.26E−10 ycf1(CDS) SSC
58 133193 T 44 133235 0 2.31E−17 ycf1(CDS) SSC
59 133274 T 70 133343 −1 1.08E-30 ycf1(CDS) SSC; IRB
60 134047 T 41 134089 −1 1.82E-13 IGS IRB

F, Forward; I, Inverted; T, Tandem; IGS, intergenic space.

Codon usage

Most protein-coding genes in these basal eudicots employ the standard ATG as the initiator codon. However, ATA, ATC, TTG, and ATT are also used as alternatives to ATG as the start codon. Among the A. sinensis cp protein-coding genes, nine genes were used alternatively to ATG as the start codon as follows: ATA for atpF; ATT for ycf1 and petB; ATC for rpl16; GTG for rps8, psbC, and ndhD; and TTG for ndhA and rpoC1. In the N. tabacum cp genome, GTG was used as start codon for rps19, psbC, and ycf15, whereas ACG was used for psbL and ndhD (Sugiura et al., 1998). ACG and GTG were used as start codon for rpl2 and rps19, as reported in Oryza sativa (Liu and Xue, 2004).

Furthermore, the codon usage patterns of the 82 distinct cp protein-coding genes in A. sinensis were examined. All the protein-coding genes were composed of 26,160 codons. Interestingly, as synonymous codons, almost each of these codons contained half synonymous codon, which ended with A or T with high RSCU values, and the other half ended with C or G with low RSCU values (Table S4). These codon usage patterns may be driven by the composition bias of the high proportion of A/T similar to those of other reported cp genomes (Raubeson et al., 2007; Delannoy et al., 2011) and mitochondrial genomes (Barth and Berendonk, 2011).

Figure 2 shows that the RSCU value increased with the number of codons that code a particular amino acid. The high RSCU value was probably attributed to the function of the amino acid or the structure of the peptide to avoid error in transcription.

Figure 2.

Figure 2

Codon content of 20 amino acid and stop codon of 82 coding genes of Aquilaria sinensis chloroplast genome. Color of the histogram is corresponding to the color of codons.

Statistical analyses of the distributions and visualization of codon usage in the form of heatmaps of 28 species of Angiosperms (Figure 3) showed that approximately half of the codons were not frequently used. These codons were denoted in blue, which indicated RSCU value of <1 and weak codon bias. Almost two-thirds of all the codons with high RSCU values ended with purine (A/T). Thus, we hypothesized that the codon in A. sinensis cp genome bias ended with A/T. This phenomenon was also found in many other plant and algal lineages (Morton, 1998). The distribution of codon usage in A. sinensis cp genome was most similar to the codon usage in Gonystylus bancanus cp genome.

Figure 3.

Figure 3

Codon distribution of all merged protein-coding genes for all considered species. Color key: higher red values indicate higher RSCU value and lower blue values indicate lower RSCU value; A Hierarchical clustering (Lance and Williams, 1967; average linkage method) was performed for codon patterns (x-axis).

Phylogenetic analyses

cp genomes are significant in the research of phylogenetics, evolution, and molecular systematics. Numerous analytical studies have been conducted in the past decade to address phylogenetic issues at deep nodes by comparing multiple protein-coding genes (Lemieux et al., 2000; Delas Rivas et al., 2002; Moore et al., 2010) and complete sequences in cp genomes (Goremykin et al., 2004; Moore et al., 2007). These studies enhanced the understanding about enigmatic evolutionary relationships among Angiosperms. We examined the phylogenetic position of A. sinensis and relationships within Angiosperms. We previously selected 82 protein-coding genes commonly present in cp genomes of 29 species, including the A. sinensis cp genome sequenced in the current study. ML and BI nucleic acid analyses were performed, and the results are summarized in Figures 4, 5. Similar phylogenetic topologies were found in the ML and BI nucleic acid analyses. Bootstrap values were very high, and 28 of 29 nodes with 100% bootstrap values were found using ML. Up to 25 out of the 29 nodes with bootstrap values of ≥99% were found using BI. A. sinensis and G. bancanus were grouped in Malvales, with 100% bootstrap values in the ML and BI phylogenetic trees. Similarly, in the ML protein analyses, 27 of the 29 nodes yielded bootstrap values of 100%, and 24 nodes reached ≥99% in the BI. ML and BI protein analyses showed that A. sinensis can also be grouped with G. bancanus within Malvales. The phylogenetic results strongly support the position of A.sinensis within the Malvales order. However, the results were inconsistent because A.sinensis was classified into Myrtales according to the traditional morphological classification of China.

Figure 4.

Figure 4

Phylogenetic position of A.sinensis inferred by Maximum likelihood (ML) and Bayesian inference (BI) nucleic acid analyses of 82 protein-coding genes. The first number above the lines indicates the BI bootstrap value of the nucleic acid analysis for each clade, whereas the second number indicates the ML bootstrap value. The position of A.sinensisis shown in boldface.

Figure 5.

Figure 5

Phylogenetic position of A.sinensis inferred by ML and BI protein analyses of 82 protein-coding genes. The first number above the lines indicates the BI bootstrap value of the protein analysis for each clade, whereas the second number indicates the ML bootstrap value. The position of A.sinensis is shown in boldface.

CCT map

Five available cp genomes of Malvales were compared with the A.sinensis cp genome by using CCT (Figure 6). The sequence identity between the A.sinensis cp and other representatives of the Malvales was analyzed. The results showed that G. bancanus cp genome achieved the highest sequence similarity (>90%), which was consistent with the result of the phylogenetic analysis. The highest similar region across all five cp genomes occurred in the IR region. LSC and SSC regions were less conservative; thus, many regions with identity results were lower than 90%, such as the ycf1 gene in the SSC region and intergenic space regions. This evolutionary conserved feature was reported in the IR region in cp (Curtis and Clegg, 1984; Palmer, 1985).

Figure 6.

Figure 6

Genome comparison of five CP genomes of Malvales to A.sinensis. From the outer to the inner color ring: Gonystylus bancanus, Theobroma cacao, Gossypium longicalyx, Hibiscus syriacus, and Gossypium bickii. BLAST was used to align other genomes to A. sinensis, and the results are shown with a circular map. The color codes are based on the similarity score, that is, dark red and blue depict similarity scores of 100%, above 90%, and below 90%, respectively. The four outer narrow rings are the protein-coding gene positions based on the A. sinensis cp genome. The color codes are based on Clusters of Orthologous Groups. The innermost ring is AT skew in the A. sinensis. AT skew+ indicate A>T, AT skew- indicate A < T.

Conclusions

The complete cp sequence of traditional medicinal plant A. sinensis was assembled, annotated, and analyzed. The cp genome consisted of one LSC, one SSC, and two IR regions. A total of 45 polymorphic SSR loci and 60 pairs of large repeats were identified in the A. sinensis cp genome. These repeat motifs can be selected to develop markers and conduct phylogenetic analysis. Both ML and BI phylogenetic analyses strongly supported the position of A. sinensis as a sister to G. bancanus within the Malvales order. The distribution of codon usage in A. sinensis cp genome was most similar to that in G. bancanus cp genome. CCT analytical results also indicated that the A. sinensis cp genome achieved higher sequence similarity than the G. bancanus cp genome. However, the traditional morphological classification of China classified A. sinensis into Myrtales. The data obtained in this study will be beneficial for further investigations on A. sinensis. Moreover, the results will help expand the understanding about the evolutionary history of the Malvales order, particularly regarding the role of A. sinensis in plant systematics and evolution.

Author contributions

YW designed and performed the experiment as well as drafted the manuscript. XC and SP conceived the study and revised the manuscript. DZ, XJ, WM, and HD prepared the samples and analyzed part of the data. All the authors have read and approved the final manuscript.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

This research was supported by the Natural Science Foundation of Hainan of China (No. 314115) and the National Nonprofit Institute Research Grant of CATAS-ITBB (ITBB140201 and ITBB2015ZD05).

Supplementary material

The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fpls.2016.00280

Figure S1

Coverage depth of contigs of A. sinensis CP genome.

Figure S2

Comparisons of CP genomic structure among five land plants, including A. sinensis, using Easyfig. The arrowheads indicate genes with their orientations and positions. The orange arrows indicate the coding regions of genes. Gray ligature indicate positions and similarity of the genes of five land plants.

Table S1

List of CP genomes used as reference to map to contigs.

Table S2

Summary of A. sinensis chloroplast genome characteristics.

Table S3

The genes in the A. sinensis chloroplast genome with introns.

Table S4

Relative synonymous codon usage (RSCU) for the A. sinensis chloroplast genome.

References

  1. Abe T., Ikemura T., Sugahara J., Kanai A., Ohara Y., Uehara H., et al. (2011). tRNADB-CE 2011: tRNA gene database curated manually by experts. Nucleic Acids Res. 39, 210–213. 10.1093/nar/gkq1007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Awasthi P., Ahmad I., Gandhi S. G., Bedi Y. S. (2012). Development of chloroplast microsatellite markers for phylogenetic analysis in Brassicaceae. Acta Biol. Hung. 63, 463–473. 10.1556/ABiol.63.2012.4.5 [DOI] [PubMed] [Google Scholar]
  3. Barth D., Berendonk T. U. (2011). The mitochondrial genome sequence of the ciliate Paramecium caudatum reveals a shift in nucleotide composition and codon usage within the genus Paramecium. BMC Genomics 12:272. 10.1186/1471-2164-12-272 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bedbrook J. R., Bogorad L. (1976). Endonuclease recognition sites mapped on Zea mays chloroplast DNA. Proc. Natl. Acad. Sci. U.S.A. 73, 4309–4313. 10.1073/pnas.73.12.4309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Chen C., Zhou P., Choi Y. A., Huang S., Gmitter F. G., Jr. (2006). Mining and characterizing microsatellites from citrus ESTs. Theor. Appl. Genet. 112, 1248–1257. 10.1007/s00122-006-0226-1 [DOI] [PubMed] [Google Scholar]
  6. Chen H., Melis A. (2013). Marker-free genetic engineering of the chloroplast in the green microalga Chlamydomonas reinhardtii. Plant Biotechnol. J. 11, 818–828. 10.1111/pbi.12073 [DOI] [PubMed] [Google Scholar]
  7. Chen J. H., Hao Z. D., Xu H. B., Yang L. M., Liu G. X., Sheng Y., et al. (2015). The complete chloroplast genome sequence of the relict woody plant Metasequoia glyptostroboides Huet Cheng. Front. Plant. Sci. 6:447 10.3389/fpls.2015.00447 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Cheng J., Zeng X., Ren G., Liu Z. (2013). CGAP: a new comprehensive platform for the comparative analysis of chloroplast genomes. BMC Bioinformatics 14:95. 10.1186/1471-2105-14-95 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. China pharmacopoeia Committee (2010). The Pharmacopoeia of People's Republic of China. Beijing: Chemical Industry Press. [Google Scholar]
  10. Ching P. L., Jen P. H., Chung S., Wu Chih, Y. H., Shu M. C. (2010). Comparative chloroplast genomics reveals the evolution of Pinaceae Genera and subfamilies. Genome Biol. Evol. 2, 504–517. 10.1093/gbe/evq036 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Corriveau J. L., Coleman A. W. (1988). Rapid screening method to detect potential biparental inheritance of plastid DNA and results for over 200 angiosperm species. Am. J. Bot. 75, 1443–1458. 10.2307/2444695 [DOI] [Google Scholar]
  12. Curci P. L., De Paola D., Danzi D., Vendramin G. G., Sonnante G. (2015). Complete Chloroplast genome of the multifunctional crop Globe Artichoke and comparison with other Asteraceae. PLoS ONE 10:e0120589. 10.1371/journal.pone.0120589 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Curtis S. E., Clegg M. T. (1984). Molecular evolution of chloroplast DNA sequences. Mol. Biol. Evol. 1, 291–301. [DOI] [PubMed] [Google Scholar]
  14. Delannoy E., Fujii S., Des Francs-Small C. C., Brundrett M., Small I. (2011). Rampant gene loss in the underground orchid Rhizanthella gardneri highlights evolutionary constraints on plastid genomes. Mol. Biol. Evol. 28, 2077–2086. 10.1093/molbev/msr028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Delas Rivas J., Lozano J. J., Ortiz A. R. (2002). Comparative analysis of chloroplast genomes: functional annotation, genome-based phylogeny, and deduced evolutionary patterns. Genome Res. 12, 567–583. 10.1101/gr.209402 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Doorduin L., Gravendeel B., Lammers Y., Ariyurek Y., Chin-A-Woeng T., Vrieling K. (2011). The complete chloroplast genome of 17 individuals of pest species Jacobaeavulgaris: SNPs,microsatellites and barcoding markers for population and phylogenetic studies. DNA Res. 18, 93–105. 10.1093/dnares/dsr002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Gaudeul M., Gardner M. F., Thomas P., Ennos R. A., Hollingsworth P. M. (2014). Evolutionary dynamics of emblematic Araucaria species (Araucariaceae) in New Caledonia: nuclear and chloroplast markers suggest recent diversification, introgression, and a tight link between genetics and geography within species. BMC Evol. Biol. 14:171. 10.1186/s12862-014-0171-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Goremykin V. V., Hirsch-Ernst K. I., Wolfl S., Hellwig F. H. (2004). The chloroplast genome of Nymphaea alba: whole-genome analyses and the problem of identifying the most basal angiosperm. Mol. Biol. Evol. 21, 1445–1454. 10.1093/molbev/msh147 [DOI] [PubMed] [Google Scholar]
  19. Grant J. R., Stothard P. (2008). The CGView Server: a comparative genomics tool for circular genomes. Nucleic. Acids. Res. 36 (Web Server issue), W181–W184. 10.1093/nar/gkn179 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Griffiths-Jones S., Bateman A., Marshall M., Khanna A., Eddy S. R. (2003). Rfam: an RNA family database. Nucleic Acids Res. 31, 439–441. 10.1093/nar/gkg006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. He S., Wang Y., Volis S., Li D., Yi T. (2012). Genetic diversity and population structure: implications for conservation of wildsoybean (Glycinesoja Sieb.et Zucc)based on nuclear and chloroplast microsatellite variation. Int. J. Mol. Sci. 13, 12608–12628. 10.3390/ijms131012608 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Jheng C., Chen T., Lin J., Chen T., Wu W., Chang C. (2012). The comparative chloroplast genomic analysis of photosynthetic orchids and developing DNA markers to distinguish Phalaenopsis orchids. Plant Sci. 190, 62–73. 10.1016/j.plantsci.2012.04.001 [DOI] [PubMed] [Google Scholar]
  23. Kumano M. (1986). Clone bank of the tobacco (Nicotiana tabacum) chloroplast genome as a set of overlapping restriction endonuclease fragments: mapping of eleven ribosomal protein genes. Plant Sci. 44, 211–216. 10.1016/0168-9452(86)90093-2 [DOI] [Google Scholar]
  24. Kumar S., Hahn F. M., McMahan C. M., Cornish K., Whalen M. C. (2009). Comparative analysis of the complete sequence of the plastid genome of Parthenium argentatum and identification of DNA barcodes to differentiate Parthenium species and lines. BMC Plant Biol. 9:131. 10.1186/1471-2229-9-131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Lance G. N., Williams W. T. (1967). A general theory of classificatory sorting strategies 1. hierarchical systems. Comput. J. 9, 373–380. 10.1093/comjnl/9.4.373 [DOI] [Google Scholar]
  26. Lartillot N., Lepage T., Blanquart S. (2009). PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating. Bioinformatics. 25, 2286–2288. 10.1093/bioinformatics/btp368 [DOI] [PubMed] [Google Scholar]
  27. Lemieux C., Otis C., Turmel M. (2000). Ancestral chloroplast genome in Mesostigma viride reveals an early branch of green plant evolution. Nature 403, 649–652. 10.1038/35001059 [DOI] [PubMed] [Google Scholar]
  28. Li H., Durbin R. (2009). Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754–1760. 10.1093/bioinformatics/btp324 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Liu Q. B., Xue Q. Z. (2004). Codon usage in the chloroplast genome of rice (Oryza sativa L. ssp. japonica). Acta Agron. Sin. 30, 1220–1224. [Google Scholar]
  30. Lohse M., Drechsel O., Bock R. (2007). Organellar Genome DRAW (OGDRAW): a tool for the easy generation of high-quality custom graphical maps of plastid and mitochondrial genomes. Curr. Genet. 52, 267–274. 10.1007/s00294-007-0161-y [DOI] [PubMed] [Google Scholar]
  31. Luo R., Liu B., Xie Y., Li Z., Huang W., Yuan J., et al. (2012). SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience 1:18. 10.1186/2047-217x-1-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Martin G., Baurens F. C., Cardi C., Aury J. M., D'Hont A. (2013). The complete chloroplast genome of banana (Musa acuminata, Zingiberales): insight into plastid monocotyledon evolution. PLoS ONE 8:e67350. 10.1371/journal.pone.0067350 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Melotto-Passarin D. M., Tambarussi E. V., Dressano K., De Martin V. F., Carrer H. (2011). Characterization of chloroplast DNA microsatellites from Saccharum spp and related species. Genet. Mol. Res. 10, 2024–2033. 10.4238/vol10-3gmr1019 [DOI] [PubMed] [Google Scholar]
  34. Moore M. J., Bell C. D., Soltis P. S., Soltis D. E. (2007). Using plastid genome-scale data to resolve enigmatic relationships among basal angiosperms. Proc. Natl. Acad. Sci. U.S.A. 104, 19363–19368. 10.1073/pnas.0708072104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Moore M. J., Soltis P. S., Bell C. D., Burleigh J. G., Soltis D. E. (2010). Phylogenetic analysis of 83 plastid genes further resolves the early diversification of eudicots. Proc. Natl. Acad. Sci. U.S.A. 107, 4623–4628. 10.1073/pnas.0907801107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Morton B. R. (1998). Selection on the codon bias of chloroplast and cyanelle genes indifferent plant and algal lineages. J. Mol. Evol. 46, 449–459. 10.1007/PL00006325 [DOI] [PubMed] [Google Scholar]
  37. Neuhaus H. E., Emes M. J. (2000). Nonphoto synthetic metabolism in plastids. Annu. Rev. Plant Physiol. Plant Mol. Biol. 51, 111–140. 10.1146/annurev.arplant.51.1.111 [DOI] [PubMed] [Google Scholar]
  38. Nie X., Lv S., Zhang Y., Du X., Wang L., Biradar S. S., et al. (2012). Complete chloroplast genome sequence of a major invasive species, crofton weed (Ageratinaadenophora). PLoS ONE 7:e36869. 10.1371/journal.pone.0036869 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Palmer J. D. (1985). Comparative organization of chloroplast genomes. Annu. Rev. Genet. 19, 325–354. 10.1146/annurev.ge.19.120185.001545 [DOI] [PubMed] [Google Scholar]
  40. Palmer J. D. (1991). Plastid chromosomes: structure and evolution, in Molecular Biology of Plastids, ed Bogorad L. (San Diego, CA: Academic Press; ), 5–53. [Google Scholar]
  41. Posada D. (2008). jModelTest: phylogenetic model averaging. Mol. Biol. Evol. 25, 1253–1256. 10.1093/molbev/msn083 [DOI] [PubMed] [Google Scholar]
  42. Provan J., Powell W., Hollingsworth P. M. (2001). Chloroplast microsatellites: new tools for studies in plant ecology and evolution. Trends Ecol. Evol. 16, 142–147. 10.1016/S0169-5347(00)02097-8 [DOI] [PubMed] [Google Scholar]
  43. Qian J., Song J., Gao H., Zhu Y., Xu J., Pang X., et al. (2013). The complete chloroplast genome sequence of the medicinal plant Salvia miltiorrhiza. PLoS ONE 8:e57607. 10.1371/journal.pone.0057607 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Raubeson L. A., Jansen R. K. (2005). Chloroplast genomes of plants, in Plant Diversity and Evolution: Genotypic and Phenotypic Variation in Higher Plants, ed Henry R. J. (Cambridge, MA: CABI; ), 45–68. [Google Scholar]
  45. Raubeson L. A., Peery R., Chumley T. W., Dziubek C., Fourcade H. M., Boore J. L., et al. (2007). Comparative chloroplast genomics: analyses including new sequences from the angiosperms Nuphar advena and Ranunculus macranthus. BMC Genomics 8:174. 10.1186/1471-2164-8-174 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Ravi V., Khurana J. P., Tyagi A. K., Khurana P. (2008). An update on chloroplast genome. Plant Syst. Evol. 271, 101–122. 10.1007/s00606-007-0608-0 [DOI] [Google Scholar]
  47. Sato S., Nakamura Y., Kaneko T., Asamizu E., Tabata S. (1999). Complete structure of the chloroplast genome of Arabidopsis thaliana. DNAquilaria Res. 6, 283–290. 10.1093/dnares/6.5.283 [DOI] [PubMed] [Google Scholar]
  48. Schattner P., Brooks A. N., Lowe T. M. (2005). The tRNAscan-SE, snoscan and snoGPS web servers for the detection of tRNAs and snoRNAs. Nucleic Acids Res. 33, W686–W689. 10.1093/nar/gki366 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Sharp P. M., Li W. H. (1987). The codon adaptation index–a measure of directional synonymous codon usage bias, and its potential applications. Nucleic Acids Res. 15, 1281–1295. 10.1093/nar/15.3.1281 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Stamatakis A. (2014). RAxML Version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313. 10.1093/bioinformatics/btu033 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Steele P. R., Hertweck K. L., Mayfield D., McKain M. R., Leebens-Mack J., Pires J. C., et al. (2012). Quality and quantity of data recovered from massively parallel sequencing: examples in asparagales and poaceae. Am. J. Bot. 99, 330–348. 10.3732/ajb.1100491 [DOI] [PubMed] [Google Scholar]
  52. Straub S. C., Parks M., Weitemier K., Fishbein M., Cronn R. C., Liston A. (2012). Navigating the tip of the genomic iceberg: next-generation sequencing for plant systematics. Am. J. Bot. 99, 349–364. 10.3732/ajb.1100335 [DOI] [PubMed] [Google Scholar]
  53. Sugiura M., Hirose T., Sugita M. (1998). Evolution and mechanism of translation in chloroplast. Annu. Rev. Genet. 32, 437–459. 10.1146/annurev.genet.32.1.437 [DOI] [PubMed] [Google Scholar]
  54. Takano A., Okada H. (2011). Phylogenetic relationships among subgenera, species, and varieties of Japanese Salvia L. (Lamiaceae). J. Plant. Res. 124, 245–252. 10.1007/s10265-010-0367-9 [DOI] [PubMed] [Google Scholar]
  55. Tangphatsornruang S., Sangsrakru D., Chanprasert J., Uthaipaisanwong P., Yoocha T., Jomchai N., et al. (2009). The chloroplast genome sequence of mungbean (Vignaradiata) determined by high-throughput pyrosequencing: structural organization and phylogenetic relationships. DNAquilaria Res. 17, 1–22. 10.1093/dnares/dsp025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Turner B., Munzinger J. E. R. O., Duangjai S., Temsch E. M., Stockenhuber R., Barfuss M. H., et al. (2013). Molecular phylogenetics of New Caledonian Diospyros (Ebenaceae) using plastid and nuclear markers. Mol. Phylogenet. Evol. 69, 740–763. 10.1016/j.ympev.2013.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Wicke S., Muller K. F., de Pamphilism C. W., Quandt D., Wickett N. J., Zhang Y., et al. (2013). Mechanisms of functional and physical genome reduction in photosynthetic and nonphotosynthetic parasitic plants of the broomrape family. Plant Cell. 25, 3711–3725. 10.1105/tpc.113.113373 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Wolfe K. H., Li W. H., Sharp P. M. (1987). Rates of nucleotide substitution vary greatly among plant mitochondrial, chloroplast, and nuclear DNAs. Proc. Natl. Acad. Sci. U.S.A. 84, 9054–9058. 10.1073/pnas.84.24.9054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Wyman S. K., Jansen R. K., Boore J. L. (2004). Automatic annotation of organellar genomes with DOGMA. Bioinformatics 20, 3252–3255. 10.1093/bioinformatics/bth352 [DOI] [PubMed] [Google Scholar]
  60. Xue J., Wang S., Zhou S. L. (2012). Polymorphic chloroplast microsatel- lite loci in Nelumbo (Nelumbonaceae). Am. J. Bot. 99, e240–e244. 10.3732/ajb.1100547 [DOI] [PubMed] [Google Scholar]
  61. Yang A. H., Zhang J. J., Yao X. H., Huang H. W. (2011). Chloroplast microsatellite markers in Liriodendron tulipifera (Magnoliaceae) and cross- species amplification in L.chinense. Am. J. Bot. 98, e123–e126. 10.3732/ajb.1000532 [DOI] [PubMed] [Google Scholar]
  62. Yang J. B., Yang S. X., Li H. T., Yang J., Li D. Z. (2013). Comparative chloroplast genomes of Camellia species. PLoS ONE 8:e73053. 10.1371/journal.pone.0073053 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Zhang Q., Liu Y., Sodmergen (2003). Examination of the cytoplasmic DNA in male reproductive cells to determine the potential for cytoplasmic inheritance in 295 angiosperm species. Plant Cell Physiol. 44, 941–951. 10.1093/pcp/pcg121 [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Figure S1

Coverage depth of contigs of A. sinensis CP genome.

Figure S2

Comparisons of CP genomic structure among five land plants, including A. sinensis, using Easyfig. The arrowheads indicate genes with their orientations and positions. The orange arrows indicate the coding regions of genes. Gray ligature indicate positions and similarity of the genes of five land plants.

Table S1

List of CP genomes used as reference to map to contigs.

Table S2

Summary of A. sinensis chloroplast genome characteristics.

Table S3

The genes in the A. sinensis chloroplast genome with introns.

Table S4

Relative synonymous codon usage (RSCU) for the A. sinensis chloroplast genome.


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