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Article

The Chloroplast Genome of the Lichen Photobiont Trebouxiophyceae sp. DW1 and Its Phylogenetic Implications

by
Lidan Wang
1,
Shenglu Zhang
2,
Jinjin Fang
1,
Xinjie Jin
3,
Reyim Mamut
1,* and
Pan Li
2,*
1
College of Life Sciences and Technology, Xinjiang University, Urumchi 830046, China
2
College of Life Sciences, Zhejiang University, Hangzhou 310058, China
3
College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China
*
Authors to whom correspondence should be addressed.
Genes 2022, 13(10), 1840; https://doi.org/10.3390/genes13101840
Submission received: 16 August 2022 / Revised: 30 September 2022 / Accepted: 10 October 2022 / Published: 12 October 2022
(This article belongs to the Section Microbial Genetics and Genomics)
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Abstract

:
Lichens are symbiotic associations of algae and fungi. The genetic mechanism of the symbiosis of lichens and the influence of symbiosis on the size and composition of the genomes of symbiotic algae have always been intriguing scientific questions explored by lichenologists. However, there were limited data on lichen genomes. Therefore, we isolated and purified a lichen symbiotic alga to obtain a single strain (Trebouxiophyceae sp. DW1), and then obtained its chloroplast genome information by next-generation sequencing (NGS). The chloroplast genome is 129,447 bp in length, and the GC content is 35.2%. Repetitive sequences with the length of 30–35 bp account for 1.27% of the total chloroplast genome. The simple sequence repeats are all mononucleotide repeats. Codon usage analysis showed that the genome tended to use codon ending in A/U. By comparing the length of different regions of Trebouxiophyceae genomes, we found that the changes in the length of exons, introns, and intergenic sequences affect the size of genomes. Trebouxiophyceae had an unstable chloroplast genome structure, with IRs repeatedly losing during evolution. Phylogenetic analysis showed that Trebouxiophyceae is paraphyletic, and Trebouxiophyceae sp. DW1 is sister to the clade of Koliella longiseta and Pabia signiensis.

Graphical Abstract

1. Introduction

Green plants, which include green algae and embryonic plants, are one of the most important primary producers on Earth [1]. Green algae are ubiquitous in the world’s marine and freshwater ecosystems and play an important role in adapting to changing environmental conditions [2]. Green algae can become symbiotic with other species such as animals, bacteria, fungi, and plants to achieve mutualism [3,4,5]. It is estimated that green algae originated more than 1.8 billion years ago and split early into two lineages: the Charophyta and the Chlorophyta [6,7,8]. In Chlorophyta, most taxonomic advances have been made at the level of species and genera, but there are few studies above this taxonomic level and there is often a lack of consensus [9,10,11]. In the early days, Chlorophyta was traditionally divided into four groups, Ulvophyceae, Trebouxiophyceae, Chlorophyceae and Prasinophyceae, according to the characteristics of flagellar apparatus configuration and cell division process [12,13]. Later on, based on molecular data, morphology and ecological diversity, the core Chlorophyta was divided into three major classes, Ulvophyceae, Trebouxiophyceae and Chlorophyceae (UTC), plus two smaller lineages, Chlorodendrophyceae and Pedinophyceae [14,15,16]. Among the three major classes, Chlorophyceae has five orders (Oedogoniales, Chaetophorales, Chaetopeltidales, Volvocales, and Sphaeropleales), and their phylogeny are well-understood. In contrast, the phylogenic relationships within Ulvophyceae and especially Trebouxiophyceae remain unresolved [17]. Trebouxiophyceae are widely distributed throughout the world. It was thought to have seven major lineages [18]; however, as more and more new species are discovered, it is now shown that Trebouxiophyceae has as many as 16 distinct lineages [1,19,20]. Phylogenetic establishment of Trebouxiophyceae by 18s RNA and rbcL, however, is difficult to solve with limited data and a few gene loci [20,21]. Of the 40 or so green algae found in Trebouxiophyceae, 22 are known to form lichen clusters [22]. With the wide application of genome in phylogeny, organelle genomes have been widely used for phylogenetic construction, and it has become a common practice for the phylogenetic analysis of the entire genome (phylogenomics) [23]. From algae to higher plants, chloroplast genomes have been used to study phylogeny, providing researchers with new ideas and insights. Genome-level analysis has led to profound changes in our understanding of the evolution of green algae and has greatly improved our understanding of the deepest relationships in the phylogeny of green algae [24,25,26,27].
The chloroplast genome data from Trebouxiophyceae are very limited compared with higher plants, and its chloroplast genome has a highly variable structure [28]. Usually, the chloroplast genome is made up of four parts: the large single copy region (LSC), the small single copy region (SSC), and the two reverse repeats (IRA and IRB). However, some algal genomes show different characteristics, including the deletion/shrinkage–disapperance/expansion of IR regions, gene rearrangement, and large intergenic spacers [29]. In previous studies, only one chloroplast genome was reported from a Trebouxia lichen phycobiont [30], which made it difficult to further study the structure of symbiotic algae.
In this study, symbiotic alga was isolated from Peltigera rufescens and then sequenced by high-throughput sequencing for the first time. The complete chloroplast genome sequence of Trebouxiophyceae sp. DW1 was reported, and its size, structure and gene content were compared with other published genomes of green algae. Phylogenetic analysis of Trebouxiophyceae was conducted based on 36 chloroplast genes, including 20 associated with photosynthesis, 14 ribosomal genes, and also tufA and ycf3 genes.

2. Materials and Methods

2.1. Phycobiont Isolation and Culture Conditions

Trebouxiophyceae sp. DW1 was isolated from the lichen P. rufescens (Figure 1), the sample of P. rufescens was collected from Bayi Forest Farm, in Xinjiang Province. This voucher specimen was deposited in the Herbarium of College of Life Science and Technology at Xinjiang University in Urumchi, China, under the voucher number BY201830, by grinding the sterilized lichens and culturing it in BG11 medium [31] in a growth chamber at 22 °C under a 10:14 h light:dark cycle.

2.2. DNA Extraction, Sequencing and Raw Data Preprocessing

DNA was extracted using the CTAB method [32]. The sequencing was performed in Hiseq PE150 mode (pair-end sequencing). Before the quality control, the original data were evaluated with BBTools [33] statistical information, and some basic information was counted and visualized to determine the data quality. In order to improve the quality and reliability of the follow-up data analyses, we carried out quality control on the original data. Using BBduk [33], to remove possible joint sequences in reading sequence; quality trimming: sliding window method to remove continuous low-quality sequences (Q value < 20) at both ends of reading sequence; to remove reading sequence and its paired reading sequence with length less than 35 bp after quality control. To evaluate the pollution of reading sequences we compared BLAST+, using 10,000 sequences randomly selected from QC (quality control). The comparison database was NCBI NT. The results of comparison were evaluated with e value ≤ 1 × 10−10 and similarity > 90%, coverage > 80%. This step of analysis is to determine whether the sample is contaminated during the preparation and sequencing of the library. Possible contamination may include microbial contamination of the environment, and contamination of human genetic material that may be introduced into the laboratory operation, etc.

2.3. Genome Assembly

SPAdes (http://bioinf.spbau.ru/SPAdes/) (accessed on 11 September 2020) was first used to correct the sequence errors of original sequence and then to assemble by multiple Kmer values. Finally, the best results were obtained by synthesizing the Kmer values (K-mer = 39). Therefore, the assembly effect and accuracy of SPAdes were high. Gapcloser v1.12 [34] and GapFiller v2.1.2 [35], the gap-filling tools, use a large number of pairs of short sequences to complete the gap-filling process.

2.4. Gene Prediction

The chloroplast genomes were annotated by GeSeq (https://chlorobox.mpimp-golm.mpg.de/geseq.html) (accessed on 27 January 2021) [36] and then the wrong genes were manually corrected by Sequin software, which manually adjusts the position of start and stop codons. Lastly, the results were placed in OGDRAW (https://chlorobox.mpimp-golm.mpg.de/OGDraw.html) (accessed on 23 March 2021) [36] to generate the cpDNA map.

2.5. Codon Usage

With the exception of Met and Trp, amino-acid residues are encoded by two or more synonyms, and genes have a tendency to use synonyms nonrandomly to encode amino acids, which is known as codon usage bias. Codon usage bias analysis could provide clues for revealing the law of genetic evolution [37]. Therefore, we analyzed codon usage bias of Trebouxiophyceae sp. DW1 in Mega v7.0.26 [38].

2.6. Identification of Repeat and Simple Sequence Repeat

Repeat sequences were detected with the online version of REPuter [39]. We included forward and palindromic repeat sequences with a minimum repeat size of 30 bp. Meanwhile, online Tandem Repeats Finder was used to search for Tandem Repeats in chloroplast DNA sequences [40]. Simple sequence repeats (SSR) were performed by using MISA (https://webblast.ipk-gatersleben.de/misa/) (accessed on 19 December 2020) for prediction, and the parameter was set as follows: the minimum SSR sequence segment length of 10 bp [41].

2.7. Phylogenetic Analysis

Thirty-six chloroplast genes (atpA, atpB, atpE, petA, petB, psaA, psaB, psbA, psbB, psbC, psbD, psbE, psbH, psbJ, psbK, psbL, psbN, psbT, psbZ, rbcL, rpl2, rpl5, rpl14, rpl16, rpl20, rpl23, rps2, rps3, rps7, rps8, rps11, rps12, rps18, rps19, tufA and ycf3) from 22 species of green algae were downloaded from GenBank. These sequences, together with those of Trebouxiophyceae sp. DW1, were used for phylogenetic analysis (Table 1). The sequences were aligned with MAFFT version 7 [42] and trimmed with Gblocks version 0.91b [43]. Maximum-likelihood (ML) method was used to construct phylogenetic tree by RAxML v7.2.8 [44], bootstrap repeats were 1×106 generations, and the best model was selected with ModelFinder [45]. FigTree v3.2 was used to exhibit the consensus tree.

3. Results

3.1. Structural Characteristics of Chloroplast Genome

The length of Trebouxiophyceae sp. DW1 chloroplast genome is 129,447 bp, of which the LSC is 98,101 bp, the SSC is 16,602 bp, and the two inverted repeats (IRA and IRB) are 7372 bp (Figure 2). The chloroplast genome of Trebouxiophyceae sp. DW1 contains 103 genes (Table S1), including 67 protein-coding genes, 32 transport RNAs (tRNAs), and 2 ribosomal RNAs (rRNAs) with exons and intergenic sequences occupy a large proportion (Figure 3). RpoC2 has two introns, while rpoB, rpoC1, and trnL(uaa) each have one intron. The length of the introns ranged from 404 to 1574 bp. The IRs region contains one protein-coding gene petD, two tRNAs and two rRNAs, among which rrn23 is a pseudogene.

3.2. Repeat Elements in the Trebouxiophyceae sp. DW1 Chloroplast Genome

A total of 49 repetitive sequences were detected in the chloroplast genome of Trebouxiophyceae sp. DW1, including 30 palindromic and 19 forward (Table 2). The size of these repetitive sequences ranged from 30 bp to 50 bp. The longest repetitive sequences were located between the rps7 and ycf4 genes. A total of 1645 bp repetitive sequences were detected in the Trebouxiophyceae sp. DW1 chloroplast genome, which accounted for 1.27% of the whole chloroplast genome.
Only one kind of SSRs, the mononucleotide repeats, was detected for the Trebouxiophyceae sp. DW1 chloroplast genome. We counted all SSRs with lengths greater than 10 bp. In the chloroplast genome of Trebouxiophyceae sp. DW1 (Table S2), the main single nucleotide (p1) was A/T (about 94.74%), and no C/G was detected. Similar to other plant chloroplast genomes reported previously, simple repetitive sequences were mainly by poly thymine nucleotides (polyT) or poly adenine nucleotides (polyA), which rarely appear in a series of cytosine and guanine repeats.
We also performed tandem repeats analysis in the chloroplast genome of Trebouxiophyceae sp. DW1 (Table 3), which accounted for 4.64% of the whole chloroplast genome. The longest tandem sequence in the Trebouxiophyceae sp. DW1 chloroplast genome is 77 bp, which is located in the intergenic region between neighboring genes petG and petA. The highest copy numbers detected were 2.1 and 2.8 in the Trebouxiophyceae sp. DW1 chloroplast genome.

3.3. Codon Usage Analysis

Codon usage analysis indicated that TTT (for phenylalanine; Phe), AAA (for lysine; Lys), ATT (for isoleucine; Ile), CAA (for glutamine; Gln), and TTA/TTG (for leucine; Leu) in the chloroplast genome of Trebouxiophyceae sp. DW1 were used more frequently (Figure 4). The genomic codons have 32 codons with relative synonymous codon usage (URSC) > 1, of which 28 codons ended in A/U, indicating that the chloroplast genome prefers to use codons ending in A/U.
We calculated the GC content at positions 1, 2, and 3 of the codons and recorded them as GC1, GC2, and GC3, respectively. GC1 is 35.25%, GC2 is 35.20%, and GC3 is 34.26%. The value of GC3 is slightly lower than GC1 and GC2. The high frequency of A and T in the codons contributes to the high AT content of the Trebouxiophyceae sp. DW1 chloroplast genome (64.80%).

3.4. Phylogenetic Analysis

Phylogeny of Trebouxiophyceae and relatives was reconstructed based on an alignment of 23,288 nt (the DNA sequences of 36 protein-coding genes), with two Streptophyta (C. atmophyticus and C. vulgaris) as outgroups (Figure 5). Trebouxiophyceae is paraphyletic, with Chlorellales more closely related with Pedinophyceae (BS = 93). Trebouxiophyceae sp. DW1 is sister to the clade of K. longiseta and P. signiensis, with high support (BS = 90).

4. Discussion

4.1. Features That Affect the Size of the Chloroplast Genome

To date, 153 chloroplast genomes of Chlorophyta have been published in NCBI. Among them, Haematococcus lacustris UTEX 2505 has the largest genome, with a length of 1,352,306 bp [46], while Prototheca zopfii strain SAG 2021 has the smallest genome, with a length of 28,638 bp [47]. The size of chloroplast genomes in Chlorophyta varies greatly. We compared proportions of exons, introns, and intergenic sequences and the proportions of IRs, LSC and SSC regions in some algae chloroplast genomes (Figure 6). Trebouxia sp. TR9 and Prasiolosis sp. SAG 84.81 have a larger size than others; the proportions of their exons, intergenic spacers and introns in the genomes were similar. The difference is that the latter lacks the complete chloroplast four-part chloroplast structure. Trebouxiophyceae sp. DW1 has a smaller genome. By comparing the genomic data, we found that the reasons for the differences in genome length variation are mainly as follows: (1) differences in the number and size of genes; (2) the length of the introns; (3) the size of the intergenic spacers; and (4) the expansion/contraction or absence of IR regions. This conclusion is consistent with previous studies [48,49,50].
There are two hypotheses about genome size. One hypothesis is the adaptive theory and the other is the junk DNA theory. The adaptive theory says that a very small genome may favor organisms with a short reproductive cycle, but a large genome may be more acceptable if the reproductive cycle is long, and changes in genome size reflect the adaptive needs of different organisms or the effectiveness of natural selection. The junk DNA theory states that extra DNA is indeed superfluous and useless so that maladaptive DNA is fixed by random drift and is passively carried on the chromosomes [51,52,53]. As the genome size increases, the ratio of insertion-sequence to coding-sequence size increases more rapidly [54,55]. The final genome size is set at a tolerable maximum, depending on the specific ecological and developmental needs of the organism. At present, the research mainly addresses the process of the evolution of genome size, and more experimental data are needed to explore the functional significance of genome size. Both genome expansion and contraction have been proposed as an evolutionary strategy to achieve the optimal balance between genomic stability and plasticity [53]. In Trebouxiophyceae sp. DW1, compared with the longer green-algae genome, there are fewer repeats with shorter gene segments, which may be the reason why Trebouxiophyceae sp. DW1 has a smaller genome.

4.2. Variations in Chloroplast Genome Structure

Structurally, variations are usually due to the expansion, contraction, or absence of the IRs. IRs are hot spots of genomic instability in prokaryotes and eukaryotes [56]. In eukaryotes, they break dsDNA and make chromosomes brittle, stimulate homologous recombination, and induce total chromosomal rearrangements [57,58,59,60,61]. IRs plays an important role in genetic instability, gene splicing, and replication delay, and there is a tendency to reduce genomic stability in various organisms [62,63,64,65,66].
Trebouxiophyceae sp. DW1 has a complete four-part structure including one SSC, one LSC, and two IRs, while Coccomyxa sp., B. braunii, M. israelensis and other algae lost IRs. The high propensity of IR in size, gene content and gene order, and the repetitive loss is experienced during the evolution of the Trebouxiophyceae [67,68]. Most of the IR-less genomes are rearranged, and the sequence evolves faster. The chloroplast genomes of Trebouxiophyceae show great plasticity [28,69]. Higher plants usually have complete four parts; however, IRs loss has also occurred in a few gymnosperms and angiosperms, such as Cryptomeria japonica, Cephalotaxus wilsoniana, Taiwania cryptomerioides, Carnegiea gigantea and Wisteria [70,71,72,73]. Longer IRs generally increase the stability of the genome, whereas the shrinkage and loss of IRs generally increase the likelihood of gene rearrangement and gene loss, affecting genome size [74,75]. The IRs of algae were smaller than higher plants, which tend to gradually degenerate. Perhaps IRs were not a necessary part of the chloroplast energy of algae.

4.3. Repeat Elements: Significant Mononucleotide Repeats in SSRs

SSRs are widely found in prokaryotes and eukaryotes. They are inevitable and highly variable products of genome replication. They exist in coding and non-coding regions of the genome and play an important role in genome evolution and recombination [76]. They were thought to participate in the gene expression, regulation, and function of components as transcription activation [77].
The 19 SSRs detected in Trebouxiophyceae sp. DW1 mainly existed in the non-coding region, and there was only one complex polynucleotide, and the rest were all mononucleotide. The most significant repetition pattern in the Chlorophyta chloroplast genome was mononucleotide poly A/T repetition [78], which was consistent with our results. The composition of SSRs varies greatly among different species. It was thought in the past that plants were mainly composed of trinucleotide repeats; differently, in angiosperms mononucleotide repeats were more prominent, followed by dinucleotide repeats, such as Panax ginseng, Elodea canadensis, Helianthus annuus, and Olea europaea [79,80]. Physcomitrella consisted mainly of dimer repeats [79]. In Brassicaceae, trinucleotide repeats were more common in the coding region, while other repeats were more common in the non-coding DNA [81]. Although the repetition types varied among different species, similarly, the number of SSRs in non-coding regions was usually greater than the number of coding regions.

4.4. Codon Usage

Most amino acids, except methionine and tryptophan, are encoded by 2–6 different codons [82]. Different species also use different synonymous codon. The main reason for this result is mutation and/or natural selection [83]. Although research on genetic mechanisms are limited, the selection of different codon can improve elongation and/or translation accuracy [84,85]. It has been found to affect protein expression, structure and function, as well as translation elongation [86].
The GC content of the third base of codon (GC3) is an important part of the GC content of genotype. GC content is an important indicator of the base composition of an organism’s genome. As the selection pressure on the third position of the codon is less than that on the first two, GC3 is often used as an indicator to measure the preference of codons. Dicotyledons tend to use A/U, while monocotyledons tend to use C/G [87,88]. The results showed that A/U was the main encoding with high frequency in Trebouxiophyceae sp. DW1.

4.5. Chloroplast Phylogenomics

Chloroplast phylogenomics has become an effective way to elucidate the mysterious evolutionary relationships at different taxonomic levels of plants [89]. The phylogenetic relationship of Chlorophyta, especially at higher taxonomic levels (order, class), has been a topic of debate. Therefore, we need to analyze more Trebouxiophyceae chloroplast genomes in order to reveal the deeper relationships of Trebouxiophyceae. There has been considerable debate regarding whether Trebouxiophyceae is a monophyly. Several studies showed that the Trebouxiophyceae is monophyletic [90,91], while others suggested that Trebouxiophyceae is paraphyletic [26,30,92]. Here, we used 36 protein-coding genes to reconstruct a more reliable phylogeny, which showed that Trebouxiophyceae is paraphyletic.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes13101840/s1, Tables S1 and S2. The chloroplast genome of Trebouxiophyceae sp. DW1 contains 103 genes, including 67 protein-coding genes, 32 tRNAs, and 2 rRNAs.

Author Contributions

Conceived and designed the experiments: R.M. and P.L. Performed the experiments: L.W., S.Z., J.F., X.J. and R.M. Sequenced the data: L.W. and X.J. Analyzed the data: L.W., S.Z., J.F. and P.L. Wrote the paper: L.W., R.M. and P.L. Provided guidance on the whole study: P.L. All authors have read and agreed to the published version of the manuscript.

Funding

Support for this work was provided by the National Natural Science Foundation of China (No. 31760052, 31550007).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The Trebouxiophyceae sp. DW1 isolated from the lichen P. rufescens are available from the corresponding author (reyim_mamut@xju.edu.cn) upon reasonable request. The lichen materials are available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Leliaert, F.; Smith, D.R.; Moreau, H.; Herron, M.D.; Verbruggen, H.; Delwiche, C.F.; De Clerck, O. Phylogeny and Molecular Evolution of the Green Algae. Crit. Rev. Plant. Sci. 2012, 31, 1–46. [Google Scholar] [CrossRef] [Green Version]
  2. Brodie, J.; Chan, C.X.; Clerck, O.D.; Cock, J.M.; Bhattacharya, D. The algal revolution. Trends Plant Sci. 2017, 22, 726–738. [Google Scholar] [CrossRef] [PubMed]
  3. Muscatine, L.; Trench, R.R.P.K. Symbiosis of algae and invertebrates: Aspects of the symbiont surface and the host-symbiont interface. Trans. Am. Microsc. Soc. 1975, 94, 450–469. [Google Scholar] [CrossRef]
  4. Wooldridge, S.A. Is the coral-algae symbiosis really ’mutually beneficial’ for the partners? Bioessays 2010, 32, 615–625. [Google Scholar] [CrossRef] [PubMed]
  5. Kouzuma, A.; Watanabe, K. Exploring the potential of algae/bacteria interactions. Curr. Opin. Biotechnol. 2015, 33, 125–129. [Google Scholar] [CrossRef]
  6. Lewis, L.A.; McCourt, R.M. Green algae and the origin of land plants. Am. J. Bot. 2004, 91, 1535–1556. [Google Scholar] [CrossRef] [Green Version]
  7. Leliaert, F.; Verbruggen, H.; Zechman, F.W. Into the deep: New discoveries at the base of the green plant phylogeny. Bioessays 2011, 33, 683–692. [Google Scholar] [CrossRef]
  8. Moczydlowska, M.; Landing, E.D.; Zang, W.; Palacios, T. Proterozoic phytoplankton and timing of chlorophyte algae origins. Palaeontology 2011, 54, 721–733. [Google Scholar] [CrossRef]
  9. Boedeker, C.; O’ Kelly, C.J.; Star, W.; Leliaert, F. Molecular phylogeny and taxonomy of the Aegagropila clade (Cladophorales, Ulvophyceae), including the description of Aegagropilopsis gen. nov. and Pseudocladophora gen. nov. J. Phycol. 2012, 48, 808–825. [Google Scholar] [CrossRef]
  10. Carlile, A.; O’Kelly, C.J.; Sherwood, A.R. The green algal genus Cloniophora represents a novel lineage in the Ulvales: A proposal for Cloniophoraceae fam. nov. J. Phycol. 2011, 47, 1379–1387. [Google Scholar] [CrossRef]
  11. Fucikova, K.; Leliaert, F.; Cooper, E.D.; Skaloud, P.; Verbruggen, H. New phylogenetic hypotheses for the core Chlorophyta based on chloroplast sequence data. Front. Ecol. Evol. 2014, 2, 63. [Google Scholar]
  12. Mattox, K.R.; Stewart, K.D. Classifification of the green algae: A concept based on comparative cytology. In Systematics of the Green Algae; Academic Press: London, UK, 1984; Volume 1, pp. 29–72. [Google Scholar]
  13. Sluiman, H.J. The green algal class Ulvophyceae an ultrastructural survey and classifification. Crypt. Bot. 1989, 1, 83–94. [Google Scholar]
  14. Arora, M.; Anil, A.C.; Leliaert, F.; Delany, J.; Mesbahi, E. Tetraselmis indica (Chlorodendrophyceae, Chlorophyta), a new species isolated from salt pans in Goa, India. Eur. J. Phycol. 2013, 48, 61–78. [Google Scholar] [CrossRef] [Green Version]
  15. Norris, R.E.; Hori, T.; Chihara, M. Revision of the genus Tetraselmis (Class Prasinophyceae). J. Plant. Res. 1980, 93, 317–339. [Google Scholar]
  16. Marin, B. Nested in the Chlorellales or independent class? Phylogeny and classifification of the Pedinophyceae (Viridiplantae) revealed by molecular phylogenetic analyses of complete nuclear and plastid-encoded rRNA operons. Protist 2012, 163, 778–805. [Google Scholar] [CrossRef] [PubMed]
  17. Fucikova, K.; Lewis, P.O.; Lewis, L.A. Putting incertae sedis taxa in their place: A proposal for ten new families and three new genera in Sphaeropleales (Chlorophyceae, Chlorophyta). J. Phycol. 2014, 50, 14–25. [Google Scholar] [CrossRef]
  18. Fucikova, K.; Lewis, P.O.; Lewis, L.A. Widespread desert affiliations of Trebouxiophycean algae (Trebouxiophyceae, Chlorophyta) including discovery of three new desert genera. Phycol. Res. 2014, 62, 294–305. [Google Scholar] [CrossRef]
  19. Gaysina, L.; Nemcova, Y.; Skaloud, P.; Sevcikova, T.; Elias, M. Chloropyrula uraliensis gen. et sp. nov. (Trebouxiophyceae, Chlorophyta), a new green coccoid alga with a unique ultra structure, isolated from soil in South Urals. J. Syst. Evol. 2013, 51, 476–484. [Google Scholar] [CrossRef]
  20. Neustupa, J.; Elias, M.; Skaloud, P.; Nemcova, Y.; Sejnohova, L. Xylochloris irregularis gen. et sp. nov. (Trebouxiophyceae, Chlorophyta), a novel subaerial coccoid green alga. Phycologia 2011, 50, 57–66. [Google Scholar] [CrossRef] [Green Version]
  21. Rindi, F.; Mcivor, L.; Sherwood, A.R.; Friedl, T.; Guiry, M.D.; Sheath, R.G. Molecular phylogeny of the green algal order Prasiolales (Trebouxiophyceae, Chlorophyta)1. J. Phycol. 2010, 43, 811–822. [Google Scholar] [CrossRef]
  22. Lucia, M.; Steven, L.; Eva, B. The hidden diversity of lichenised Trebouxiophyceae (Chlorophyta). Phycologia 2018, 57, 503–524. [Google Scholar]
  23. Spatafora, J.W.; Bushley, K.E. Phylogenomics and evolution of secondary metabolism in plant-associated fungi. Curr. Opin. Plant Biol. 2015, 26, 37–44. [Google Scholar] [CrossRef] [Green Version]
  24. Monique, T.; Cambiaire, J.D.; Otis, C.; Lemieux, C. Distinctive architecture of the chloroplast genome in the Chlorodendrophycean green algae Scherffelia dubia and Tetraselmis sp. CCMP 881. PLoS ONE 2016, 11, e0148934. [Google Scholar]
  25. Parks, M.; Cronn, R.; Liston, A. Increasing phylogenetic resolution at low taxonomic levels using massively parallel sequencing of chloroplast genomes. BMC Biol. 2009, 7, 84. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Sun, L.; Ling, F.; Zhang, Z.; Xin, C.; Penny, D.; Zhong, B. Chloroplast phylogenomic inference of green algae relationships. Sci. Rep. 2016, 6, 20528. [Google Scholar] [CrossRef]
  27. Ruhfel, B.R.; Gitzendanner, M.A.; Soltis, P.S.; Soltis, D.E.; Burleigh, J.G. From algae to angiosperms-inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomes. BMC Evol. Biol. 2014, 14, 23. [Google Scholar] [CrossRef] [Green Version]
  28. Cambiaire, J.; Otis, C.; Turmel, M.; Lemieux, C. The chloroplast genome sequence of the green alga Leptosira terrestris: Multiple losses of the inverted repeat and extensive genome rearrangements within the Trebouxiophyceae. BMC Genom. 2007, 8, 213. [Google Scholar] [CrossRef] [Green Version]
  29. Lemieux, C.; Otis, C.; Turmel, M. Chloroplast phylogenomic analysis resolves deep-level relationships within the green algal class Trebouxiophyceae. BMC Evol. Biol. 2014, 14, 211. [Google Scholar] [CrossRef] [Green Version]
  30. Fernando, M.A.; Eva, B.; Leonardo, M.C.; Francisco, G.; Arantzazu, M.; Patricia, M.; Maria, G.H.; Eva, M.C. The chloroplast genome of the lichen-symbiont microalga Trebouxia sp. Tr9 (Trebouxiophyceae, Chlorophyta) shows short inverted repeats with a single gene and loss of the rps4 gene, which is encoded by the nucleus. J. Phycol. 2020, 56, 170–184. [Google Scholar]
  31. Rippka, R. Photoheterotrophy and chemoheterotrophy among unicellular blue-green algae. Arch. Microbiol. 1972, 87, 93–98. [Google Scholar] [CrossRef]
  32. Cota-Sánchez, J.H.; Remarchuk, K.; Ubayasena, K. Ready-to-use DNA extracted with a CTAB method adapted for herbarium specimens and mucilaginous plant tissue. Plant Mol. Biol. Rep. 2006, 24, 161–167. [Google Scholar] [CrossRef]
  33. Khan, M.A.; Bhatia, P.; Sadiq, M. Bbtool: A tool to generate the test cases. IJRTE 2012, 1, 192–197. [Google Scholar]
  34. Xu, M.; Guo, L.; Gu, S.; Wang, O.; Zhang, Y. Tgs-Gapcloser: A fast and accurate gap closer for large genomes with low coverage of error-prone long reads. GigaScience 2020, 9, gia094. [Google Scholar] [CrossRef] [PubMed]
  35. Boetzer, M.; Pirovano, W. Toward almost closed genomes with GapFiller. Genom. Biol. 2012, 13, R56. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Michael, T.; Pascal, L.; Tommaso, P.; Ulbricht-Jones, E.S.; Axel, F.; Ralph, B.; Stephan, G. Geseq-versatile and accurate annotation of organelle genomes. Nucleic Acids Res. 2017, 5, W6–W11. [Google Scholar]
  37. Qin Cai, Z.Q.; Xia, G.M.; Wang, M.C. Synonymous codon usage bias is correlative to intron number and shows disequilibrium among exons in plants. BMC Genom. 2013, 14, 56. [Google Scholar] [CrossRef] [Green Version]
  38. Sudhir, K.; Glen, S.; Koichiro, T. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 2016, 7, 1870. [Google Scholar]
  39. Stefan, K.; Choudhuri, J.V.; Enno, O.; Chris, S.; Jens, S.; Robert, G. REPuter: The manifold applications of repeat analysis on a genomic scale. Nucleic Acids Res. 2001, 22, 4633–4642. [Google Scholar]
  40. Gary, B. Tandem repeats finder: A program to analyze DNA sequences. Nucleic Acids Res. 1999, 2, 573–580. [Google Scholar]
  41. Sebastian, B.; Thomas, T.; Thomas, M.; Uwe, S.; Martin, M. Misa-web: A web server for microsatellite prediction. Bioinformatics 2017, 16, 2583–2585. [Google Scholar]
  42. Katoh, K.; Rozewicki, J.; Yamada, K.D. MAFFT online service: Multiple sequence alignment, interactive sequence choice and visualization. Brief. Bioinform. 2017, 20, 1160–1166. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Castresana, J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol. Biol. Evol. 2000, 17, 540–552. [Google Scholar] [CrossRef] [PubMed]
  44. Stamatakis, A. RAxML-VI-HPC: Maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 2006, 22, 2688–2690. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Subha, K.; Bui, Q.M.; Wong, T.K.; Von Haeseler, A.; Jermiin, L.S. ModelFinder: Fast model selection for accurate phylogenetic estimates. Nat. Met. 2017, 14, 587–589. [Google Scholar]
  46. Bauman, N.; Akella, A.S.; Hann, A.E.; Morey, A.R.; Schwartz, A.A.S. Next-Generation Sequencing of Haematococcus lacustris Reveals an Extremely Large 1.35-Megabase Chloroplast Genome. Genome Announc. 2018, 6, e00181-18. [Google Scholar] [CrossRef] [Green Version]
  47. Hideto, S.; Rui, K.; Takaaki, I.; Masanobu, O.; Koichi, M.; Atsuhiko, H.; Hiroshi, K. In vitro susceptibility of Prototheca zopfii genotypes 1 and 2. Med. Mycol. 2011, 49, 222–224. [Google Scholar]
  48. Brouard, J.S.; Otis, C.; Lemieux, C.; Turmel, M. The exceptionally large chloroplast genome of the green alga Floydiella terrestris illuminates the evolutionary history of the Chlorophyceae. Gยืฟหenome Biol. Evol. 2010, 2, 240–256. [Google Scholar] [CrossRef] [Green Version]
  49. Cremen, M.; Frederik, L.; Marcelino, V.R.; Heroen, V. Large diversity of nonstandard genes and dynamic evolution of chloroplast genomes in siphonous green algae (Bryopsidales, Chlorophyta). Genome Biol. Evol. 2018, 10, 1048–1061. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Turmel, M.; Otis, C.; Lemieux, C. The complete chloroplast DNA sequences of the charophycean green algae Staurastrum and Zygnema reveal that the chloroplast genome underwent extensive changes during the evolution of the Zygnematales. BMC Biol. 2005, 3, 22. [Google Scholar] [CrossRef] [Green Version]
  51. Ohno, S. So much "junk" DNA in our genome. Brookhaven Symp. Biol. 1972, 23, 366–370. [Google Scholar]
  52. Petrov, D.A. Evolution of genome size: New approaches to an old problem. Trends Genet. 2001, 17, 23–28. [Google Scholar] [CrossRef]
  53. Schubert, I.; Vu, G. Genome stability and evolution: Attempting a holistic view. Trends Plant Sci. 2016, 9, 749–757. [Google Scholar] [CrossRef]
  54. Doolittle, W.F.; Sapienza, C. Selfish genes, the phenotype paradigm and genome evolution. Nature 1980, 284, 601–603. [Google Scholar] [CrossRef] [PubMed]
  55. Vinogradov, A.E. Intron-genome size relationship on a large evolutionary scale. J. Mol. Evol. 1999, 49, 376–384. [Google Scholar] [CrossRef] [PubMed]
  56. Voineagu, I.; Narayanan, V.; Lobachev, K.S.; Mirkin, S.M. Replication stalling at unstable inverted repeats: Interplay between DNA hairpins and fork stabilizing proteins. Proc. Natl. Acad. Sci. USA 2008, 105, 9936–9941. [Google Scholar] [CrossRef] [PubMed]
  57. Lemoine, F.J.; Degtyareva, N.P.; Lobachev, K.; Petes, T.D. Chromosomal translocations in yeast induced by low levels of DNA polymerase a model for chromosome fragile sites. Cell 2005, 120, 587–598. [Google Scholar] [CrossRef] [Green Version]
  58. Lobachev, K.S.; Shor, B.M.; Tran, H.T.; Taylor, W.; Keen, J.D.; Resnick, M.A.; Gordenin, D.A. Factors affecting inverted repeat stimulation of recombination and deletion in Saccharomyces cerevisiae. Genetics 1998, 148, 1507–1524. [Google Scholar] [CrossRef]
  59. Lobachev, K.S.; Gordenin, D.A.; Resnick, M.A. The Mre11 complex is required for repair of hairpin-capped double-strand breaks and prevention of chromosome rear rangements. Cell 2002, 108, 183–193. [Google Scholar] [CrossRef] [Green Version]
  60. Lobachev, K.S.; Stenger, J.E.; Kozyreva, O.G.; Jurka, J.; Resnick, M.A. Inverted Alu repeats unstable in yeast are excluded from the human genome. Embo J. 2000, 19, 3822–3830. [Google Scholar] [CrossRef] [Green Version]
  61. Nag, D.K.; Manisha, S.; Stenson, E.K. Both CAG repeats and inverted DNA repeats stimulate spontaneous unequal sister-chromatid exchange in Saccharomyces cerevisiae. Nucleic Acids Res. 2004, 32, 5677–5684. [Google Scholar] [CrossRef] [Green Version]
  62. Lacomme, C.; Hrubikova, K.; Hein, I. Enhancement of virus-induced gene silencing through viral-based production of inverted-repeats. Plant J. 2003, 34, 543–553. [Google Scholar] [CrossRef] [PubMed]
  63. Leach, D. Long DNA palindromes, cruciform structures, genetic instability and secondary structure repair. Bioessays 2010, 16, 893–900. [Google Scholar] [CrossRef] [PubMed]
  64. Mizuno, K.; Miyabe, I.; Schalbetter, S.A.; Carr, A.M.; Murray, J.M. Recombination-restarted replication makes inverted chromosome fusions at inverted repeats. Nature 2013, 493, 246–249. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Smith, N.A.; Singh, S.P.; Wang, M.B.; Stoutjesdijk, P.A.; Green, A.G.; Waterhouse, P.M. Total silencing by intron-spliced hairpin RNAs. Nature 2000, 407, 319–320. [Google Scholar] [CrossRef] [PubMed]
  66. Zhang, R.; Ge, F.; Li, H.; Chen, Y.; Yang, L. PCIR: A database of plant chloroplast inverted repeats. Database 2019, 2019, baz127. [Google Scholar] [CrossRef] [PubMed]
  67. Wakasugi, T.; Nagai, T.; Kapoor, M.; Sugita, M.; Ito, M.; Ito, S.; Tsudzuki, J.; Nakashima, K.; Tsudzuki, T.; Suzuki, Y.; et al. Complete nucleotide sequence of the chloroplast genome from the green alga Chlorella vulgaris: The existence of genes possibly involved in chloroplast division. Proc. Natl. Acad. Sci. USA 1997, 94, 5967–5972. [Google Scholar] [CrossRef] [Green Version]
  68. Koning, A.; Keeling, P.J. The complete plastid genome sequence of the parasitic green alga Helicosporidium sp. is highly reduced and structured. BMC Biol. 2006, 4, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Monique, T.; Christian, O.; Claude, L. Dynamic evolution of the chloroplast genome in the green algal classes Pedinophyceae and Trebouxiophyceae. Genome Biol. Evol. 2015, 7, 2062–2082. [Google Scholar]
  70. Sanderson, M.J.; Copetti, D.; Burquez, A.; Bustamante, E.; Charboneau, J.; Eguiarte, L.E.; Kumar, S.; Lee, H.O.; Lee, J.; Mcmahon, M. Exceptional reduction of the plastid genome of saguaro cactus (Carnegiea gigantea): Loss of the ndh gene suite and inverted repeat. Am. J. Bot. 2015, 102, 1115–1127. [Google Scholar] [CrossRef] [Green Version]
  71. Tomonori, H.; Atsushi Manabu, K.; Teiji, K.; Katsuhiko, T. Complete nucleotide sequence of the Cryptomeria japonica D. Don. chloroplast genome and comparative chloroplast genomics: Diversified genomic structure of coniferous species. BMC Plant Biol. 2008, 8, 70. [Google Scholar]
  72. Wu, C.S.; Wang, Y.N.; Hsu, C.Y.; Lin, C.P.; Chaw, S.M. Loss of different inverted repeat copies from the chloroplast genomes of Pinaceae and Cupressophytes and influence of heterotachy on the evaluation of gymnosperm phylogeny. Genome Biol. Evol. 2011, 3, 1284–1295. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Zhang, Y.; Ma, J.; Yang, B.; Li, R.; Zhu, W.; Sun, L.; Tian, J.; Zhang, L. The complete chloroplast genome sequence of Taxus chinensis var. mairei (Taxaceae): Loss of an inverted repeat region and comparative analysis with related species. Gene 2014, 540, 201–209. [Google Scholar] [CrossRef] [PubMed]
  74. Hao, D.C.; Xiao, P.G.; Huang, B.; Ge, G.B.; Yang, L. Interspecific relationships and origins of Taxaceae and Cephalotaxaceae revealed by partitioned Bayesian analyses of chloroplast and nuclear DNA sequences. Plant Syst. Evol. 2008, 276, 89–104. [Google Scholar] [CrossRef]
  75. Yang, M.; Zhang, X.; Liu, G.; Yin, Y.; Chen, K.; Yun, Q.; Zhao, D.; Al-Mssallem, I.S.; Yu, J. The Complete Chloroplast Genome Sequence of Date Palm (Phoenix dactylifera L.). PLoS ONE 2010, 5, e12762. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Subramanian, S.; Mishra, R.K.; Singh, L. Genome-wide analysis of microsatellite repeats in humans: Their abundance and density in specific genomic regions. Genome Biol. 2003, 4, R13. [Google Scholar] [CrossRef] [Green Version]
  77. Legendre, M.; Pochet, N.; Pak, T.; Verstrepen, K.J. Sequence-based estimation of minisatellite and microsatellite repeat variability. Genome Res. 2007, 17, 1787–1796. [Google Scholar] [CrossRef] [Green Version]
  78. Kuntal, H.; Sharma, V.; Daniell, H. Microsatellite analysis in organelle genomes of Chlorophyta. Bioinformation 2012, 8, 255–259. [Google Scholar] [CrossRef]
  79. Stackelberg, M.V.; Rensing, S.A.; Reski, R. Identification of genic moss SSR markers and a comparative analysis of twenty-four algal and plant gene indices reveal species-specific rather than group-specific characteristics of microsatellites. BMC Plant Biol. 2006, 6, 9. [Google Scholar] [CrossRef] [Green Version]
  80. Huotari, T.; Korpelainen, H. Complete chloroplast genome sequence of Elodea canadensis and comparative analyses with other monocot plastid genomes. Gene 2012, 508, 96–105. [Google Scholar] [CrossRef]
  81. Gandhi, S.G.; Awasthi, P.; Bedi, Y.S. Analysis of SSR dynamics in chloroplast genomes of Brassicaceae family. Bioinformation 2010, 5, 16–20. [Google Scholar] [CrossRef]
  82. Lehmann, J.; Libchaber, A. Degeneracy of the genetic code and stability of the base pair at the second position of the anticodon. RNA 2008, 14, 1264–1269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Zhang, W.-J.; Zhou, J.; Li, Z.-F.; Wang, L.; Gu, X.; Zhong, Y. Comparative analysis of codon usage patterns among mitochondrion, chloroplast and nuclear genes in Triticum aestivum L. J. Integr. Plant Biol. 2007, 49, 246–254. [Google Scholar] [CrossRef]
  84. Akashi, H. Synonymous codon usage in Drosophila melanogaster: Natural selection and translational accuracy. Genetics 1994, 136, 927–935. [Google Scholar] [CrossRef] [PubMed]
  85. Dong, H.; Nilsson, L.; Kurland, C.G. Co-variation of tRNA abundance and codon usage in Escherichia coliat different growth rates. J. Mol. Biol. 1996, 260, 649–663. [Google Scholar] [CrossRef]
  86. Yu, C.-H.; Dang, Y.; Zhou, Z.; Wu, C.; Zhao, F.; Sachs, M.S.; Liu, Y. Codon Usage Influences the Local Rate of Translation Elongation to Regulate Co-translational Protein Folding. Mol. Cell 2015, 59, 744–754. [Google Scholar] [CrossRef] [Green Version]
  87. Chen, L.; Liu, T.; Yang, D.; Nong, X.; Xie, Y.; Fu, Y.; Wu, X.; Huang, X.; Gu, X.; Wang, S.; et al. Analysis of codon usage patterns in Taenia pisiformis through annotated transcriptome data. Biochem. Biophys. Res. Commun. 2013, 430, 1344–1348. [Google Scholar] [CrossRef] [PubMed]
  88. Yao, Z.; Hanmei, L.; Yong, G. Analysis of characteristic of codon usage in waxy gene of Zea mays. J. Maize Sci. 2008, 2, 432–436. [Google Scholar]
  89. Jansen, R.K.; Cai, Z.; Raubeson, L.A.; Daniell, H.; Depamphilis, C.W.; Leebens-Mack, J.; Müller, K.F.; Guisinger-Bellian, M.; Haberle, R.C.; Hansen, A.K.; et al. Analysis of 81 genes from 64 plastid genomes resolves relationships in angiosperms and identifies genome-scale evolutionary patterns. Proc. Natl. Acad. Sci. USA 2007, 104, 19369–19374. [Google Scholar] [CrossRef]
  90. Fang, L.; Leliaert, F.; Novis, P.M.; Zhang, Z.; Zhu, H.; Liu, G.; Penny, D.; Zhong, B. Improving phylogenetic inference of core Chlorophyta using chloroplast sequences with strong phylogenetic signals and heterogeneous models. Mol. Phylogenet. Evol. 2018, 127, 248–255. [Google Scholar] [CrossRef]
  91. Turmel, M.; Gagnon, M.-C.; O’Kelly, C.J.; Otis, C.; Lemieux, C. The Chloroplast Genomes of the Green Algae Pyramimonas, Monomastix, and Pycnococcus Shed New light on the Evolutionary History of Prasinophytes and the Origin of the Secondary Chloroplasts of Euglenids. Mol. Biol. Evol. 2008, 26, 631–648. [Google Scholar] [CrossRef] [Green Version]
  92. Huss, V.A.R.; Frank, C.; Hartmann, E.C.; Hirmer, M.; Kloboucek, A.; Seidel, B.M.; Wenzeler, P.; Kessler, E. Biochemical taxonomy and molecular phylogeny of the genus Chlorella sensu Lato (Chlorophyta). J. Phycol. 1999, 35, 587–598. [Google Scholar] [CrossRef]
Genes 13 01840 g001 550
Figure 1. Morphological structure of P. rufescens.
Figure 1. Morphological structure of P. rufescens.
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Genes 13 01840 g002 550
Figure 2. Gene map of the complete chloroplast genome of the green algae. Trebouxiophyceae sp. DW1. The genes inside the circle are transcribed clockwise, and the genes outside the circle are transcribed counterclockwise. Genes with introns are marked with an asterisk. The dark gray and light gray of the outer circle correspond to the LSC and SSC regions, respectively. The two regions are, respectively, represented as IRA and IRB, between LSC and SSC regions.
Figure 2. Gene map of the complete chloroplast genome of the green algae. Trebouxiophyceae sp. DW1. The genes inside the circle are transcribed clockwise, and the genes outside the circle are transcribed counterclockwise. Genes with introns are marked with an asterisk. The dark gray and light gray of the outer circle correspond to the LSC and SSC regions, respectively. The two regions are, respectively, represented as IRA and IRB, between LSC and SSC regions.
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Genes 13 01840 g003 550
Figure 3. Proportions of the whole chloroplast genome of Trebouxiophyceae sp. DW1. The exons, introns, intergenic sequences, tRNA, and rRNA genes region.
Figure 3. Proportions of the whole chloroplast genome of Trebouxiophyceae sp. DW1. The exons, introns, intergenic sequences, tRNA, and rRNA genes region.
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Genes 13 01840 g004 550
Figure 4. Codon usage in the whole chloroplast genome of Trebouxiophyceae sp. DW1.The x-axis represents amino acids, frequency of codon usage is plotted on the y-axis.
Figure 4. Codon usage in the whole chloroplast genome of Trebouxiophyceae sp. DW1.The x-axis represents amino acids, frequency of codon usage is plotted on the y-axis.
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Figure 5. Maximum-likelihood (ML) phylogeny of 21 Trebouxiophyceae and Prasinophyceae species based on an alignment of 23,288 nt of 36 protein-coding genes. Bootstrap values are indicated in the nodes. The scale bar indicates substitutions/site.
Figure 5. Maximum-likelihood (ML) phylogeny of 21 Trebouxiophyceae and Prasinophyceae species based on an alignment of 23,288 nt of 36 protein-coding genes. Bootstrap values are indicated in the nodes. The scale bar indicates substitutions/site.
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Figure 6. Total lengths of different regions of the cpDNAs in Trebouxiophyceae. The proportions of exons, introns and intergenic sequences in the chloroplast genome are shown on the left, and the proportions of IRS, LSC and SSC regions in the chloroplast genome are shown on the right.
Figure 6. Total lengths of different regions of the cpDNAs in Trebouxiophyceae. The proportions of exons, introns and intergenic sequences in the chloroplast genome are shown on the left, and the proportions of IRS, LSC and SSC regions in the chloroplast genome are shown on the right.
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Table
Table 1. Species and GenBank accession number used for phylogenetic analysis.
Table 1. Species and GenBank accession number used for phylogenetic analysis.
SpeciesGenBank No.
Botryococcuus brauniiNC_025545
Coccomyxa sp.NC_015084
Paradoxia multisetaNC_025540
Trebouxiophyceae sp.NC_018569
Elliptochloris bilobataNC_025548
K. longisetaNC_025531
P. signiensisNC_025529
Chlorella vulgarisNC_001565
Trebouxiophyceae sp. DW1MW_255987
Myrmecia israelensisNC_025525
Trebouxia sp. TR9MK_643158
Chlorella sorokinianaNC_023835
Chlorella variabilisNC_015359
Micractinium conductrixNC_036806
Dicloster acuatusNC_025546
Parachlorella kessleriNC_012978
Pedinomonas minorNC_016733
Pedinomonas tuberculataNC_025530
Marsupiomonas sp.KM_462870
Nephroselmis astigmaticaNC_024829
Nephroselmis olivaceaNC_000927
Chara vulgarisNC_008097
Chlorokybus atmophyticusNC_008822
Note: The new sequences generated in this study are indicated in boldface.
Table
Table 2. Repetitive sequences detected in the Trebouxiophyceae sp. DW1 chloroplast genome using the REPuter.
Table 2. Repetitive sequences detected in the Trebouxiophyceae sp. DW1 chloroplast genome using the REPuter.
Number of Bases.TypeNumber
30–35P20
F14
36–40P7
F4
41–45P2
F1
46–50P1
F0
Note: forward repeats were denoted by F; palindromic repeats were denoted by P.
Table
Table 3. Tandem repeats detected in the Trebouxiophyceae sp. DW1 chloroplast genome using the Tandem Repeats Finder.
Table 3. Tandem repeats detected in the Trebouxiophyceae sp. DW1 chloroplast genome using the Tandem Repeats Finder.
IndicesPeriodCopyConsensusPercentPercentScoreACGTEntropy
SizeNumberSizeMatchesIndels(0–2)
28,773–28,933772.17787522737149371.79
106,572–106,604122.81210006633189391.82
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Wang, L.; Zhang, S.; Fang, J.; Jin, X.; Mamut, R.; Li, P. The Chloroplast Genome of the Lichen Photobiont Trebouxiophyceae sp. DW1 and Its Phylogenetic Implications. Genes 2022, 13, 1840. https://doi.org/10.3390/genes13101840

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Wang L, Zhang S, Fang J, Jin X, Mamut R, Li P. The Chloroplast Genome of the Lichen Photobiont Trebouxiophyceae sp. DW1 and Its Phylogenetic Implications. Genes. 2022; 13(10):1840. https://doi.org/10.3390/genes13101840

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Wang, Lidan, Shenglu Zhang, Jinjin Fang, Xinjie Jin, Reyim Mamut, and Pan Li. 2022. "The Chloroplast Genome of the Lichen Photobiont Trebouxiophyceae sp. DW1 and Its Phylogenetic Implications" Genes 13, no. 10: 1840. https://doi.org/10.3390/genes13101840

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