Literature DB >> 31698805

Chloroplast Genome Sequence of Artemisia scoparia: Comparative Analyses and Screening of Mutational Hotspots.

Shabina Iram1, Muhammad Qasim Hayat1, Muhammad Tahir1, Alvina Gul1, Ibrar Ahmed2.   

Abstract

Artemisia L. is among the most diverse and medicinally important genera of the plant family Asteraceae. Discrepancies arise in the taxonomic classification of Artemisia due to the occurrence of multiple polyploidy events in separate lineages and its complex morphology. The discrepancies could be resolved by increasing the genomic resources. A. scoparia is one of the most medicinally important species in Artemisia. In this paper, we report the complete chloroplast genome sequence of Artemisia scoparia. The genome was 151,060 bp (base pairs), comprising a large single copy (82,834 bp) and small single copy (18,282 bp), separated by a pair of long inverted repeats (IRa and IRb: 24,972 bp each). We identified 114 unique genes, including four ribosomal RNAs, 30 transfer RNAs, and 80 protein-coding genes. We analysed the chloroplast genome features, including oligonucleotide repeats, microsatellites, amino acid frequencies, RNA editing sites, and codon usage. Transversion substitutions were twice as frequent as transition substitutions. Mutational hotspot loci included ccsA-ndhD, trnH-psbA, ndhG-ndhI, rps18-rpl20, and rps15-ycf1. These loci can be used to develop cost-effective and robust molecular markers for resolving the taxonomic discrepancies. The reconstructed phylogenetic tree supported previous findings of Artemisia as a monophyletic genus, sister to the genus Chrysanthemum, whereby A. scoparia appeared as sister to A. capillaris.

Entities:  

Keywords:  Artemisia scoparia; Asteraceae; chloroplast genome; divergence region; phylogenetic; substitutions; taxonomic discrepancies

Year:  2019        PMID: 31698805      PMCID: PMC6918244          DOI: 10.3390/plants8110476

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


1. Introduction

The genus Artemisia L. includes over 500 species and occupies the top position in the family Asteraceae in terms of its bio-prospection [1]. Members of this genus are mainly hairy shrubs and herbs with a cosmopolitan distribution in arid and semi-arid habitats [2]. Western and central Asia is considered its centre of origin in the northern hemisphere, although some species are also found in the southern hemisphere [3]. Several species of Artemisia have wide and varied medicinal applications in the pharmaceutical industry, as well as in folk remedies [1]. The vernacular name of Artemisia scoparia Waldst. et. Kit (red stem wormwood) is Jhahoo or Jaukay in Pakistan [2]. It is a branched perennial herb with a bitter aroma [2]. The herb has a wild distribution in Southwest Asia and central Europe [4]. In northern Pakistan, A. scoparia is found growing up to an altitude of 4000 m in the summer season along the field boundaries, on stony grounds, rural tracks, and sandy soils of barren areas after rainfall [5]. Recently, A. scoparia has received immense attention due to its potential therapeutic impacts on indigenous communities. This species has been reported to contain anti-viral [6], anti-cancer [7], anti-inflammatory [8], anti-allergic [9], anti-oxidant, anti-malarial, insecticidal [10], anti-microbial [11], anti-hypertensive [12], and anti-obesity [13] properties. This species also has renal-protective [5], hepato-protective [14], hypo-lipidemic [15], and urease inhibitory [16] properties. Moreover, it has been utilized for curing Alzheimer’s disease [17]. The chloroplast (cp) genome in most of the plants has a characteristic quadripartite and circular structure, in which a small single copy region (SSC) and a large single copy region (LSC) are separated by a pair of large inverted repeats (IRs) [18,19]. Linear chloroplast genomes are also reported in some species [20]. The size of the cp genome ranges from 107 to 218 kb [21]. The cp genome is conservative in nature and is mostly inherited maternally [21]. Chloroplast genome polymorphism has been used in phylogenetic reconstructions from population genetics [22] to investigate deep divergence at a genera and family level [23,24,25,26]. The slow evolving nature and maternal inheritance of the chloroplast genome in comparison to the nuclear genome make it suitable for such studies [21]. Therefore, the chloroplast genome structure can be exploited for the taxonomic classification, inferring of phylogeny, and molecular barcoding of the medicinal plants like A. scoparia. Knowledge about the chloroplast genome structure is also helpful in the transformation of foreign genes to obtain high protein expression [21,27,28]. Based on its extensive medicinal applications and ecological value, it is important to further explore the genetic and phylogenetic characteristics of A. scoparia. Highly efficient molecular markers are required to select pharmaceutically efficient germplasm for large-scale breeding purposes in Artemisia [27]. The acquisition of genomic information can help to develop medicinally potent genetic breeds of the plant. Traditionally, the taxonomic identification of Artemisia species has relied on morphological characteristics. However, controversies with regards to the taxonomic relationships have arisen due to the plastic nature, complex genetics, and polyploidy of Artemisia species, limiting the role of morphological characteristics as the sole factor for classification [29,30]. The development of high-resolution genetic markers is important for fostering attempts regarding species identification, inferring phylogeny, and improving the medicinal value of A. scoparia. In this study, we de novo assembled the chloroplast genome of A. scoparia and compared the chloroplast genome features of nine Artemisia species. We analysed the codon usage, amino acid frequency, RNA editing sites, and repeats in the A. scoparia genome. We also identified twenty polymorphic loci which might be appropriate for the design of authentic, cost-effective, and high-efficacy molecular markers. The phylogeny was inferred to understand the phylogenetic position of A. scoparia. The findings of our study are expected to be useful in phylogenetics, population genetics, and genetic engineering studies of A. scoparia.

2. Results

2.1. Chloroplast Genome Features of A. scoparia

Hiseq2500 generated 6.6 GB sequencing data that contained 18.54 million reads from the paired-end run. This whole genome sequence data was used to de novo assemble the chloroplast genome of A. scoparia with an average coverage depth of 64 ×. The Artemisia scoparia chloroplast genome had a quadripartite structure with a length of 151,060 bp (base pairs). The chloroplast genome contained an LSC (82,834 bp) region and an SSC (18,282 bp) region, which were separated by two copies of IRs (IRa and IRb: 24,972 bp each). The chloroplast genome contained 114 unique genes in which 18 genes were also duplicated in IRs, except for the pseudogene copy of ycf1. Among 114 unique genes, 30 were tRNA genes, 4 were rRNA genes, and 80 were protein-coding genes. Eighteen genes that were duplicated in IRs comprised 4 rRNA genes, 7 tRNA genes, and 7 protein-coding genes. We also found 18 intron-containing genes that included 6 tRNA genes and 12 protein-coding genes. Among the 18 genes, 16 genes contained one intron, whereas 2 genes (ycf3 and clpP) contained two introns. The rps12 gene was a trans-splicing gene in which the 5′ end existed in the LSC as a single copy, whereas the 3′ existed in the IRs regions in duplicate. The ycf1 gene started from the IRa region and extended into the SSC region, and thus left a truncated copy of ycf1 at the border of the IRb region. The arrangement of genes in the chloroplast genome has been shown in Figure 1. The gene content of the genome has been shown, along with their function, in Table S1.
Figure 1

Circular map of the Artemisia scoparia chloroplast genome. The genes present outside of the circle are transcribed anti-clockwise, while those inside the circle are transcribed clockwise. Large single copy (LSC), inverted repeat (IRa, IRb), and small single copy (SSC) regions are indicated. The dashed grey color of the inner circle shows the GC content, whereas the lighter gray color shows the AT content. Color of genes was assigned based on their functions.

The chloroplast genome of A. scoparia is AT-rich. The complete chloroplast genome is comprised of 62.5% AT content and 37.5% GC content. The GC content of the three regions varies in the genome. The IR regions contain a high GC content (43.1%), compared to the LSC (35.6%) and SSC (30.8%) regions. The high GC content of IRs is due to the presence of high GC-comprising genes: rRNAs (55%) and tRNAs (52.7%). The genomic features have been provided in detail in Table 1.
Table 1

Genomic features of Artemisia scoparia.

Characteristics Artemisia scoparia
Size (Base Pair; bp) 151,060
IR length (bp)24,972
LSC length (bp)82,834
SSC length (bp)18,282
Number of genes114
Duplicate genes18
tRNA genes30
rRNA genes4
Protein-coding genes80
GC contentTotal (%)37.5
CDS (%)37.8
IR (%)43.1
LSC (%)35.6
SSC (%)30.8
rRNA (%)55
tRNA (%)52.7
All gene %39.3

2.2. Codon Usage and Amino Acid Frequency

Codon usage analyses revealed a high encoding of codons that contained A or T at the 3′ end among synonymous codons compared to codons that ended with C or G (Table S2). The amino acid frequency analyses revealed an abundance of leucine and isoleucine, whereas cysteine was the least abundant amino acid (Figure S1).

2.3. RNA Editing Sites

The predictive RNA editor for plant chloroplast genes (PREP-cp) predicted 51 post-transcriptional RNA editing modifications in 21 protein-coding genes. Most of the RNA editing sites were found in ndhB (9 editing sites) and ndhD (6 editing sites), whereas matK, rpoC1, and accD contained four RNA editing sites each. All the changes took place on the first and second nucleotide of codons. However, the conversion rate at the first nucleotide was observed to be about four times higher than that at the second nucleotide. Most of the RNA editing sites resulted in the conversion of serine to leucine and phenylalanine. Moreover, most of the conversion led to hydrophobic amino acids, including methionine, phenylalanine, valine, leucine etc. (Table S3).

2.4. Comparison of Genus Artemisia Genomes and the Contraction and Expansion of Large Inverted Repeats

We compared the chloroplast genome features of nine Artemisia species and also evaluated the phenomenon of the IR contraction and expansion. The size of the complete chloroplast genome varied from 151,011 bp (in A. fukudo) to 151,318 bp (in A. gmelinii); the LSC region varied from 82,740 bp (in A. frigida) to 83,061 bp (in A. gmelinii); the SSC region varied from 18,282 bp (in A. scoparia) to 18,423 bp (in A. absinthium); and each IR varied from 24,892 bp (in A. absinthium) to 24,972 bp (in A. frigida and A. scoparia) (Table S4). The IR contraction and expansion were also evaluated among nine species of the genus Artemisia. The pseudogene of rps19 was observed at the junction of LSC and Ira, whereas the pseudogene of ycf1 was observed at the junction of IRb and SSC. The rps19 gene integrated from the LSC region to the IRb region with 59 to 60 bp extending into the IRb region, leaving rps19 at junctions of IRa and LSC. The size of ycf1 varied from 512 bp (in A. absinthium) to 650 bp (in A. scoparia) and integrated from the IRb region to SSC region with 17 bp (in A. frigida) to 83 bp (in A. scoparia). The ndhF gene was present at the junction of SSC and IRb completely in the SSC region, but also overlapped with ycf1 up to 30 bp in Artemisia scoparia. The gene trnH at the junction of IRa and LSC remained completely in the LSC region, whereas the rpl2 gene remained completely in the repeated region at the junction of LSC and IRb/IRa. The graphical representation of IR contraction and expansion has been shown in Figure 2.
Figure 2

Details of the contraction and expansion of inverted repeats at junction sites. For all plant species, positive strand genes are represented at the top, from right to left, on the corresponding track, whereas negative strand genes are illustrated on the lower side of the track, from left to right. Arrows depict the distance between the start and end of a gene from the junction site. Scale bar present above or below the genes extending from one region to another illustrates the number of base pairs to which genes join in that region. JSA (SSC/IRa), JSB (IRb/SSC), JLA (IRa/LSC), and JLB (IRb/LSC) indicate the junction sites between two corresponding regions of a genome. The plotted genes and distances surrounding the junction site are a scaled projection of the genome.

2.5. Microsatellite and Oligonucleotide Repeats Analyses

We used the Perl script of MIcroSAtellite identification tools (MISA) for the identification of microsatellite repeats and detected 58 microsatellite repeats and eight compound repeats. All compound repeats were found in LSC regions. Among the 58 microsatellite repeats, 45 repeats existed in the LSC region, 4 in IR regions, and 9 in the SSC region. The five types of repeats were detected and varied in number, such as Mononucleotide (40) > tetranucleotide (11) > dinucleotide (9) > trinucleotide (5) > pentanucleotide (1). The mononucleotide repeats were made of 10–20 repeat units, dinucleotide repeats were made of 5–7 repeat units, trinucleotide repeats were made of 4–5 repeat units, tetranucleotide repeats were made of 3–4 repeat units, and the pentanucleotide repeat was made of 3 repeat units. All types of repeats were AT-rich (Table 2). The position, type, and region of each microsatellite has been given Table S5.
Table 2

Microsatellites in Artemisia scoparia.

Repeats34567891011121314151617181920Total
A-------1025 17
T-------1131321 1 123
AT--321 6
TA--2 1 3
ATA-1 1
ATT-1 1
TAA- 1 1
TTA-1 1
TTC-1 1
AATA2 2
AATC2 2
AATT1 1
ATTT1 1
CAAT1 1
TAAT1 1
TATT1 1
TTTA1 1
TTTC 1 1
AAATT1 1
We used the REPuter program to detect oligonucleotide repeats. The REPuter program detected 14 oligonucleotide repeats, including 10 forward repeats, three palindromic repeats, and one reverse repeat. The size of repeats varied from 30 to 60 bp. The LSC region contained five repeats, IR region contained three repeats, and SSC region contained one repeat. Moreover, three repeats were shared between LSC and IR, one repeat in LSC and SSC, and one repeat in SSC and IR. As per further categorization based on the functional regions of the chloroplast genome, six repeats were observed in intergenic spacer regions, four in coding regions, and two in intronic regions, and two repeat pairs were shared in intronic and intergenic spacer regions (Table 3).
Table 3

Oligonucleotide repeats in Artemisia scoparia.

S.NoTypeSizeRegionsIGS/CDS/Intron1st Position2nd PositionSequence
1F32LSCpsaB/psaA37,97740,201AGAAAAATAAATGCAATAGCTAAATGATGATG
2F30LSCpsaB/psaA37,98840,212TGCAATAGCTAAATGATGATGAGCCATATC
3R30LSCpsaA-ycf3/rps4-trnT41,74445,790ATAAAAAAAAAAAAGATATATATCTAATAT
4F41LSC/IRycf3 intron/rps12-ycf1542,97496,836TACAGAACCGTACATGAGATTTTCATCTCATACGGCTCCTC
5F39LSC/SSCycf3 intron/ndhA intron42,976118,122CAGAACCGTACATGAGATTTTCATCTCATACGGCTCCTC
6F35LSC/IRycf3 intron/ndhB intron42,97993,787AACCGTACATGAGATTTTCATCTCATACGGCTCCT
7F30LSCrbcL*-rbcL-accD56,18756,211AAAAGAGATAAGGTTCGTTCTCTTAAAAGA
8F30LSC/IRpsaJ-rpl33/ycf15-trnV66,25397,999TAAGAGGATAGCAAGTTACAAATTCTATTT
9P48LSCpsbT-psbN72,97372,973AATTGAAGTAATGAGCCTCCCAATATTGGGAGGCTCATTACTTCAATT
10P31IRycf286,48986,489CGAGAAGCAGATGATTAATCATCTGCTTCCG
11F60IRycf290,06290,080CGATATTGATGAGATTGACGATATTGATGCTAGTGACGATATTGATGCTAGTGACGATAT
12F39IR/SSCrps12-trnV/ndhA intron96,838118,122CAGAACCGTACATGAGATTTTCACCTCATACGGCTCCTC
13F34IRrrn4.5-rrn5105,729105,761CATTGTTCAACTCTTTAACAACATGAAAAAACCATTGTT
14P43SSCndhD-psaC115,012115,012AAAACATGTGCCCAAAAATAAGATATTTTTGGGCACATGTTTT

* represents copy of repeat shared between genic and intergenic spacer regions.

2.6. Types of Substitutions and InDels Events

We analysed the types of substitutions and InDel events by using A. scoparia as a reference in pairwise alignment with the A. capillaris cp genome. We found 88 substitutions in the complete chloroplast genome: 59 substitutions were found in LSC, 23 in SSC, and 6 in IR regions. Among a total of 54 InDels, 42 were in LSC, 9 in SSC, and 3 in IR regions (Table 4).
Table 4

Substitutions and InDels events in the chloroplast genome of Artemisia scoparia.

Substitution TypeLSCSSCIR
A/C1551
A/G1222
G/T16110
C/T913
C/G520
A/T220
Total59236
No’s of InDels4293
Average size3.863.113.67
There were 29 transition substitutions and 59 transversion substitutions. Therefore, we observed a transitions to transversions (Ts/Tv) ratio of 0.49. The Ts/Tv values were 0.49 in the LSC region, 0.55 in the SSC region, and 5 × (five among six were transitions) in IR regions.

2.7. Screening of Divergence Regions

We conducted a multiple sequence alignment of complete chloroplast genomes of nine Artemisia species and screened intergenic spacer regions, intronic regions, and protein-coding sequences for the identification of highly diverse regions. The average divergence (π) in complete chloroplast genomes was 0.014. The highest average divergence was recorded for intergenic spacer regions (0.022), followed by introns (0.012) and then protein-coding sequences (0.005). The nucleotide diversity of each region has been shown in Figure 3. We also identified twenty mutational hotspots from intergenic spacer regions that might be adopted as appropriate loci for population genetic and phylogeographic studies. Notable among these loci are ccsA-ndhD, trnH-psbA, ndhG-ndhI, rps18-rpl20, and rps15-ycf1 (Table 5). Among protein-coding genes, ycf1, psbD, and accD exhibited remarkable polymorphism.
Figure 3

The x-axis shows the regions of the chloroplast genome and the y-axis shows the nucleotide diversity of each region. The regions with 0 nucleotide diversity are not included in the list.

Table 5

Mutational hotspots in the genus Artemisia.

Serial NoRegionNucleotide DiversityTotal No’s of MutationsRegion Length
1 ccsA-ndhD 0.05454512220
2 trnH-psbA 0.04738219401
3 ndhG-ndhI 0.04255316376
4 rps18-rpl20 0.04240312283
5 rps15-ycf1 0.04205618428
6 trnC-GCA-petN 0.03891723591
7 rpl32-trnL 0.03744339908
8 rpoC2-rps2 0.0354339254
9 trnK-UUU-rps16 0.03526731879
10 ndhF-rpl32 0.033915351032
11 psbA-trnK-UUU 0.0336547208
12 ndhC-trnV 0.033646431278
13 trnS-GGA-rps4 0.03293411334
14 petN-psbM 0.03284718548
15 rps16-trnQ-UUG 0.03172929914
16 trnS-GCU-trnC-GCA 0.03129124767
17 accD-psaI 0.0307116521
18 psbK-psbI 0.03053412393
19 rbcL-accD 0.03001916533
20 ycf4-cemA 0.0290918275

2.8. Inferring of Phylogeny in the Genus Artemisia and Family Asteraceae

The phylogenetic tree was reconstructed for 30 species of the family Asteraceae (Table S6). The phylogeny was inferred based on coding sequences of 77 protein-coding genes using the IQ-tree online program with the best fit model TVM + F + I + G4. The multiple sequence alignment consisted of 57,226 nucleotide sites, in which 53,270 (93.09%) nucleotide sites were constant (invariant sites), 3360 were parsimony informative sites, and 970 showed a distinct pattern. The phylogeny analyses showed Artemisia as a monophyletic genus which was sister to the genus Chrysanthemum. Moreover, A. scoparia was found as sister taxa to A. capillaris (Figure 4).
Figure 4

Phylogenetic relationships among 30 species of the family Asteraceae. The number on each node represents the bootstrapping value. The bootstrapping values equal to 100 were not represented on the nodes and omitted from the tree for quality visualization.

3. Discussion

In the current study, we de novo assembled the chloroplast genome of A. scoparia and compared its genome with the chloroplast genome of eight publicly available Artemisia species. We evaluated the IR contractions and expansion phenomenon in these species, which revealed the origination of the pseudogene ycf1. We also analysed types of substitutions, InDels events, and repeats within the genomes. All nine species of the genus Artemisia showed similarity in terms of the gene content, intron content, and composition of GC content. The chloroplast genome of angiosperms is highly conserved and several previous studies have also reported high similarity in chloroplast genome sequences of the same lineage [26,31,32,33,34,35]. However, some studies have reported variation in gene numbers and gain or loss of introns at a genus level, as well as at a family level [36,37,38]. We found a functional infA gene, encoding the translation initiation factor, in all species of Artemisia, whereas in some other plant lineages, the complete loss or non-function copy of the infA gene has been reported [37,38,39]. RNA editing sites are commonly reported in protein-coding genes of the chloroplast. We identified 51 RNA editing sites in 21 protein-coding genes of A. scoparia. We observed most of the conversion for serine to leucine and conversion of hydrophilic amino acids into hydrophobic amino acids. Our study is in line with previous studies of other angiosperms in which a similar effect of RNA editing events has been reported [26,36,37]. The contraction and expansion of IR regions, along with the variation in the length of the intergenic spacer region, caused variation in the length of the chloroplast genome, even within same lineages at a family level, as well as at a genus level [26,36,40,41]. The contraction and expansion of the IR regions lead to the duplication of genes, to the loss of one copy of genes, or to the origination of pseudogenes in the chloroplast genome of angiosperms [37,38,42,43]. Our results are also in agreement with these studies and we observed the origination of ycf1 and rps19 at the junction of IRb/SSC and LSC/IRa, respectively. The IR contraction and expansion might be helpful in the study of evolutionary patterns [38] and the closely related species show a high resemblance at the junction of the chloroplast genome compared to more diverse species [44]. Our study also agreed with this study and the species of Artemisia revealed a closed resemblance at junctions of the chloroplast genome, but this view needs further confirmation in more diverse species (a family level comparison). We analysed microsatellites and oligonucleotide repeats in the genome of A. scoparia. Microsatellites are good markers in studies of population genetics of plant species. Therefore, the identified loci might be suitable for the population genetic studies of A. scoparia. The identified microsatellite loci showed an abundance of A/T content, which might be due to the AT-rich composition of the chloroplast genome [36]. In the current study, the mononucleotide repeats were followed by tetranucleotide repeats. However, in other Artemisia species, the abundance of dinucleotide repeats was also reported after mononucleotide repeats [45]. In other plant lineages of angiosperm, an abundance of trinucleotide repeats was also found after mononucleotide repeats [36,37]. We found most of the repeats in the LSC region compared to SSC and IR regions. These results are also in agreement with several other studies of angiosperms [36,46,47,48,49]. We also analysed oligonucleotide repeats in the chloroplast genome of A. scoparia. Oligonucleotide repeats are considered to produce substitutions, deletion, inversion, addition, and rearrangements within the genome [22,37,39,50,51]. Moreover, these repeats could also be used for the identification of polymorphic loci, as suggested previously [39,51]. Most of the repeats were found in intergenic spacer regions compared to intronic regions and protein-coding sequences. Our results agreed with previous studies of the genus Artemisia and other species of angiosperm [26,27,36,40,45,52]. However, protein-coding sequences are also reported to contain the highest number of oligonucleotide repeats [38]. Previous studies reported a higher existence of InDels and substitutions in LSC and SSC regions compared to IR regions [36,39,45,53]. In the current study, an abundance of substitutions and InDels was also observed in LSC and SSC regions compared to IR regions. The most common types of substitutions that occurred in the chloroplast genome were transversion substitutions. In the current study, the Ts/Tv ratio was found to be 0.49, which indicates higher transversion substitutions compared to transition substitutions and is also in agreement with previous studies of angiosperm chloroplast genomes in which the authors reported Ts/Tv < 1 [36,45,54]. Commonly used molecular markers, including ITS1, ITS2, matK, trnH-psbA, rpoC1, rbcL, and rpoB, did not well-resolve the phylogenetic relationships among closely related species of Artemisia [29,55,56]. Therefore, these loci could not be employed as barcodes. Moreover, certain other limitations make them unsuitable for barcoding, including their problematic, time consuming, and less robust amplification process and inefficient sequencing [57]. The two approaches that have been suggested for the barcoding of plant species are the use of the whole chloroplast genome as a long barcode [57] or use of molecular markers from mutational hotspots [23,57]. The whole chloroplast genome can be the best choice for the barcoding of plant species as it shows significance polymorphism. However, sequencing of the chloroplast genome is not cost-effective and cannot be preferred. Therefore, we followed the second approach, which was also preferred by other researchers [26,36,37,38,45]. Recently, Meng et al. [58] reported mutational hotspots based on a comparative analyses of the chloroplast genome using mVista, whereas Shahzadi et al. [45] reported twenty mutational hotspots based on comparative analyses of four highly diverse species using multiple MAFFT alignment. Shahzadi et al. [45] used a more technical approach. However, they did not utilize certain genomic resources. In the current study, we utilized nine genomes of Artemisia by also including those species that were embedded among the diverse species of Artemisia and identified twenty mutational hotspots. Among the twenty mutational hotspots, sixteen mutational hotspots were those identified by Shahzadi et al. [45]. However, the mutational hotspots varied in the extent of divergence. The four mutational hotspots that differed from the study of Shahzadi et al. [45] were psbA-trnK, trnS-rps4, psbK-psbI, and ycf4-cemA. Therefore, our study confirmed the suitability of a few highly diverse species for the identification of suitable polymorphic loci to design cost-effective, authentic, and robust markers. The inferring of phylogeny revealed that the genus Artemisia is a monophyletic genus that is sister to the genus Chrysanthemum. A similar result has also been provided by Shahzadi et al. [45] based on the 77 protein-coding sequences of the chloroplast genome. In summary, our study provides insight into the chloroplast genome structure of the highly medicinal species A. scoparia. The genomic features revealed a close resemblance among Artemisia species. The identified microsatellite and twenty mutational hotspots might be helpful for studies of population genetics and phylogenetics of the genus Artemisia. Moreover, our study confirms the suitability of a few highly diverse species for the identification of suitable polymorphic loci for the development of effective markers.

4. Materials and Methods

4.1. DNA Extraction and Sequencing

The plant of Artemisia scoparia was collected from District Attock in the Potohar region of Pakistan. Leaf tissues that did not show any apparent disease symptoms were collected from the plant of A. scoparia. The leaf tissues were washed with 70% ethanol and silica dried for future DNA extraction. Whole genomic DNA was extracted by the DNeasy Plant Mini Kit (Qiagen, Inc., Germany). The quality and quantity of DNA was determined by 1% agarose gel electrophoresis and Multiskan GO (Thermo Scientific Inc., USA). The high-quality DNA was sent to Novogene, Hong Kong and sequenced from paired ends with 150 bp short reads and a 350 bp insert size using HiSeq2500 (Illumina, USA).

4.2. Genome Assembly and Annotation

The chloroplast genome of A. scoparia was de novo assembled following Abdullah et al. [37], using Kmer values of 121, 111, 91, 71, and 61 in Velvet 1.2.10 [59]. The coverage depth analyses were performed with Burrow wheal aligner (BWA) [60] and boundaries of LSC, SSC, and IR (IRa and IRb) regions were defined by the manual visualization of scaffolds in Geneious R8.1 [61], following Abdullah et al. [37]. The de novo assembled genome was annotated using the GeSeq annotation tool [62], whereas the transfer RNA genes were further verified by tRNAscan-SE version 2.0.3 [63] and ARAGORN v.1.2.38 [64]. The circular diagram of the chloroplast genome was drawn by Organellar Genome DRAW [65]. The required five-column tab-delimited table of genome annotations used to submit our sequence to the National Centre for Biotechnology Information (NCBI) was generated by GB2sequin [66]. GenBank assigned an accession number of MN385624.

4.3. Comparative Analyses and Genomic Features

The genomic features of A. scoparia were determined in Geneious R8.1 [61], which compared its genomic features with eight other publicly available species of the genus Artemisia. The contraction and expansion of inverted repeat regions were also examined among the nine species of the genus Artemisia using IRscope [67].

4.4. Amino Acid Frequency, Codon Usage, and RNA Editing Sites

The amino acid frequency and codon usage of protein-coding sequences of the chloroplast were determined in A. scoparia using Geneious R8.1 [61], whereas putative RNA editing sites in 35 protein-coding genes of cp were determined using PREP [68] (Predictive RNA editor for plants).

4.5. Microsatellites and Oligonucleotide Repeats Analyses

We used Perl script MIcroSAtellite identification tools (MISA) [69] to determine microsatellites in the cp genome of A. scoparia. The parameters adjusted for microsatellite detection included 10 for mono-; 5 for di-; 4 for tri-; and 3 each for tetra-, penta-, and hexanucleotide repeats. To detect oligonucleotide repeats, we used the REPuter [70] program to detect four different types of repeats: forward (F), reverse (R), palindromic (P), and complementary (C) repeats. The parameters of the oligonucleotide program included a minimum repeat size of 30 bp with three mismatches to detect repeats with a minimum of 90% similarities.

4.6. Substitutions and InDel Analyses

We determined the numbers and types of substitutions along with the InDels event in each region of the chloroplast genome. We used A. capillaris as a reference for A. scoparia following Shahzadi et al. [45] and pairwise aligned IR, LSC, and SSC regions of both genomes using MAFFT v.5 (Multiple Alignment with Fast Fourier Transform) [71]. The numbers and types of substitutions were described in Geneious R8.1 [61]. The numbers of InDels events were determined by analysing the pairwise alignment of each region in DnaSP v.5.10 [72].

4.7. Screening of Divergence Regions

We determined the extent of divergence of the protein-coding sequences, intronic regions, and intergenic spacer regions. For this purpose, we multiple aligned nine species of the genus Artemisia by MAFFT [71] and counted the number of substitutions and InDels events within each region by visualizing them in Geneious R8.1 [61], following Shahzadi et al. [45]. The nine species that were included in the comparison for the determination of divergence regions are provided in Figure 2.

4.8. Phylogeny in the Genus Artemisia and Family Asteraceae

We inferred the phylogeny of the genus Artemisia and family Asteraceae among thirty species following the methodological approach of Shahzadi et al. [45] and reconstructed the maximum likelihood tree using the IQ-TREE [73,74,75] program, whereas TreeDyn was used to enhance the phylogenetic tree visualization and analyses [76,77].
  65 in total

1.  DnaSP 6: DNA Sequence Polymorphism Analysis of Large Data Sets.

Authors:  Julio Rozas; Albert Ferrer-Mata; Juan Carlos Sánchez-DelBarrio; Sara Guirao-Rico; Pablo Librado; Sebastián E Ramos-Onsins; Alejandro Sánchez-Gracia
Journal:  Mol Biol Evol       Date:  2017-12-01       Impact factor: 16.240

2.  IRscope: an online program to visualize the junction sites of chloroplast genomes.

Authors:  Ali Amiryousefi; Jaakko Hyvönen; Peter Poczai
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

3.  An ethanolic extract of Artemisia scoparia inhibits lipolysis in vivo and has antilipolytic effects on murine adipocytes in vitro.

Authors:  Anik Boudreau; Allison J Richard; Jasmine A Burrell; William T King; Ruth Dunn; Jean-Marc Schwarz; David M Ribnicky; Jennifer Rood; J Michael Salbaum; Jacqueline M Stephens
Journal:  Am J Physiol Endocrinol Metab       Date:  2018-08-28       Impact factor: 4.310

4.  Identification of chloroplast genome loci suitable for high-resolution phylogeographic studies of Colocasia esculenta (L.) Schott (Araceae) and closely related taxa.

Authors:  Ibrar Ahmed; Peter J Matthews; Patrick J Biggs; Muhammad Naeem; Patricia A McLenachan; Peter J Lockhart
Journal:  Mol Ecol Resour       Date:  2013-05-30       Impact factor: 7.090

5.  Clusters of nucleotide substitutions and insertion/deletion mutations are associated with repeat sequences.

Authors:  Michael J McDonald; Wei-Chi Wang; Hsien-Da Huang; Jun-Yi Leu
Journal:  PLoS Biol       Date:  2011-06-14       Impact factor: 8.029

Review 6.  Chloroplast genomes: diversity, evolution, and applications in genetic engineering.

Authors:  Henry Daniell; Choun-Sea Lin; Ming Yu; Wan-Jung Chang
Journal:  Genome Biol       Date:  2016-06-23       Impact factor: 13.583

7.  GeSeq - versatile and accurate annotation of organelle genomes.

Authors:  Michael Tillich; Pascal Lehwark; Tommaso Pellizzer; Elena S Ulbricht-Jones; Axel Fischer; Ralph Bock; Stephan Greiner
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

8.  MISA-web: a web server for microsatellite prediction.

Authors:  Sebastian Beier; Thomas Thiel; Thomas Münch; Uwe Scholz; Martin Mascher
Journal:  Bioinformatics       Date:  2017-08-15       Impact factor: 6.937

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  Complete chloroplast genome sequences of Mongolia medicine Artemisia frigida and phylogenetic relationships with other plants.

Authors:  Yue Liu; Naxin Huo; Lingli Dong; Yi Wang; Shuixian Zhang; Hugh A Young; Xiaoxiao Feng; Yong Qiang Gu
Journal:  PLoS One       Date:  2013-02-27       Impact factor: 3.240

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  16 in total

1.  Molecular evolution of chloroplast genomes in Monsteroideae (Araceae).

Authors:  Claudia L Henriquez; Ibrar Ahmed; Monica M Carlsen; Alejandro Zuluaga; Thomas B Croat; Michael R McKain
Journal:  Planta       Date:  2020-02-28       Impact factor: 4.116

2.  Comparative chloroplast genome analysis of Artemisia (Asteraceae) in East Asia: insights into evolutionary divergence and phylogenomic implications.

Authors:  Goon-Bo Kim; Chae Eun Lim; Jin-Seok Kim; Kyeonghee Kim; Jeong Hoon Lee; Hee-Ju Yu; Jeong-Hwan Mun
Journal:  BMC Genomics       Date:  2020-06-22       Impact factor: 3.969

3.  Complete Chloroplast Genomes of Anthurium huixtlense and Pothos scandens (Pothoideae, Araceae): Unique Inverted Repeat Expansion and Contraction Affect Rate of Evolution.

Authors:  Claudia L Henriquez; Furrukh Mehmood; Monica M Carlsen; Madiha Islam; Mohammad Tahir Waheed; Peter Poczai; Thomas B Croat; Ibrar Ahmed
Journal:  J Mol Evol       Date:  2020-07-09       Impact factor: 2.395

4.  Mutational Dynamics of Aroid Chloroplast Genomes II.

Authors:  Claudia L Henriquez; Thomas B Croat; Peter Poczai; Ibrar Ahmed
Journal:  Front Genet       Date:  2021-01-20       Impact factor: 4.599

5.  Comparative Analyses of Euonymus Chloroplast Genomes: Genetic Structure, Screening for Loci With Suitable Polymorphism, Positive Selection Genes, and Phylogenetic Relationships Within Celastrineae.

Authors:  Yongtan Li; Yan Dong; Yichao Liu; Xiaoyue Yu; Minsheng Yang; Yinran Huang
Journal:  Front Plant Sci       Date:  2021-02-11       Impact factor: 5.753

6.  Comparative Chloroplast Genome Analyses of the Winter-Blooming Eastern Asian Endemic Genus Chimonanthus (Calycanthaceae) With Implications For Its Phylogeny and Diversification.

Authors:  Abbas Jamal; Jun Wen; Zhi-Yao Ma; Ibrar Ahmed; Long-Qing Chen; Ze-Long Nie; Xiu-Qun Liu
Journal:  Front Genet       Date:  2021-11-30       Impact factor: 4.599

7.  Comparative plastome analysis of Blumea, with implications for genome evolution and phylogeny of Asteroideae.

Authors:  Furrukh Mehmood; Abdur Rahim; Parviz Heidari; Ibrar Ahmed; Péter Poczai
Journal:  Ecol Evol       Date:  2021-05-06       Impact factor: 2.912

8.  Comparison of Chloroplast Genomes among Species of Unisexual and Bisexual Clades of the Monocot Family Araceae.

Authors:  Claudia L Henriquez; Furrukh Mehmood; Iram Shahzadi; Zain Ali; Mohammad Tahir Waheed; Thomas B Croat; Peter Poczai; Ibrar Ahmed
Journal:  Plants (Basel)       Date:  2020-06-11

9.  Comparative Plastomics of Ashwagandha (Withania, Solanaceae) and Identification of Mutational Hotspots for Barcoding Medicinal Plants.

Authors:  Furrukh Mehmood; Zartasha Ubaid; Yiming Bao; Peter Poczai; Bushra Mirza
Journal:  Plants (Basel)       Date:  2020-06-15

10.  Comparative chloroplast genome analyses of Avena: insights into evolutionary dynamics and phylogeny.

Authors:  Qing Liu; Xiaoyu Li; Mingzhi Li; Wenkui Xu; Trude Schwarzacher; John Seymour Heslop-Harrison
Journal:  BMC Plant Biol       Date:  2020-09-02       Impact factor: 4.215

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