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Article

Unraveling Evolutionary Dynamics: Comparative Analysis of Chloroplast Genome of Cleomella serrulata from Leaf Extracts

College of Science and Technology, Bellevue University, Bellevue, NE 68005, USA
*
Author to whom correspondence should be addressed.
Int. J. Plant Biol. 2024, 15(3), 914-926; https://doi.org/10.3390/ijpb15030065
Submission received: 25 July 2024 / Revised: 3 September 2024 / Accepted: 17 September 2024 / Published: 19 September 2024
(This article belongs to the Section Plant Biochemistry and Genetics)

Abstract

:
Cleomella serrulata is a native flowering plant found in North America. Even though this plant is of ecological and native medicinal importance, very little is known about the genomic makeup of Cleomella and the Cleomaceae family at large. Here, we report the complete chloroplast genome of Cleomella serrulata and provide an evolutionary comparison to other chloroplast genomes from Cleomaceae and closely related families. This study not only confirms the taxonomic placement of Cleomella as a distinct genus, but also provides phylogenetic insights that imply potential adaptive strategies and evolutionary mechanisms driving the genomic diversity of the Cleomella genus. Whole-genome-based and ANI comparisons indicate that the Cleomella species form a distinct clade that is about equidistant from the other Cleomaceae genera as it is from the genera from the nearby Capparaceae and Brassicaceae. This is the first complete chloroplast-based phylogenetic comparison of Cleomella species to other related genera and helps refine the complex taxonomic distinctions of Cleomaceae.

1. Introduction

In the arid landscapes of North America, among the vast stretches of desert flora, one can encounter the delicate yet resilient Cleomella serrulata. Commonly known as the Rocky Mountain bee plant or stinking clover, this unassuming member of the Cleomaceae family captivates with its intricate biology and ecological significance [1].
Cleomaceae are a small family of flowering plants in the order Brassicales, comprising about 270 species in 17 accepted genera (USDA-ARS GRIN Taxonomy, 2024; [2]), that are found widespread on various continents. Cleomella serrulata is native to the American prairies and thrives in various arid habitats, including rocky slopes, desert washes, and sandy plains, primarily in the western United States and northern Mexico. Its range spans from Arizona and New Mexico to Utah, Colorado, and Wyoming, where it adds a splash of color to the rugged terrain, especially during its flowering season in late spring and early summer [3].
This plant’s ability to adapt to harsh environmental conditions underscores its resilience and ecological importance in maintaining biodiversity within arid ecosystems [4,5].
Cleomella serrulata has several intriguing characteristics that contribute to its ecological niche. One notable feature is its unique relationship with pollinators. The plant produces nectar-rich flowers with a distinct scent, attracting a diverse array of pollinators, including bees, butterflies, and hummingbirds [4,5]. This symbiotic relationship highlights the plant’s role as a crucial food source for local pollinator populations, emphasizing its importance in maintaining ecosystem stability.
Cleomella serrulata stands as a testament to the resilience and intricacies of desert flora. Its modest appearance belies a rich tapestry of ecological interactions, cultural significance, and taxonomic nuances. Moreover, Cleomella serrulata possesses medicinal properties that indigenous communities have recognized for centuries. Historically, Native American tribes utilized various parts of the plant for medicinal purposes, from treating skin ailments to alleviating respiratory issues [6]. These traditional uses underscore the cultural significance and ethnobotanical value of Cleomella serrulata within local communities and it is imperative to safeguard its diversity for future generations.
The taxonomic classification of Cleomella serrulata has undergone several revisions over time, reflecting advancements in botanical research and molecular techniques. Initially classified within the Cleome genus, recent phylogenetic studies have prompted taxonomic re-evaluations, leading to the establishment of the Cleomella genus as a distinct lineage within the Cleomaceae family [7]. As a consequence, earlier publications on Cleomella serrulata can be found under the synonyms Cleome serrulata and Periotoma serrulata (https://powo.science.kew.org/taxon/urn:lsid:ipni.org:names:77146869-1#synonyms, (accessed on 1 September 2024)). Unfortunately, the most recent restructuring of the Cleomaceae family was performed purely based on morphological and geographical characteristics and did not include genomic comparisons. However, previous gene-based phylogenetic studies (using chloroplast genes and ITS), that were performed before the restructuring [5,8] appear to be in agreement with the reformation of the Cleomaceae family. At the time, there was insufficient chloroplast or nuclear genomic information available to further validate the taxonomic restructuring using whole-genome data. Our current study forms the genomic base for a more detailed genomic analysis of the genera within Cleomaceae and their relationship with other closely related plant families, with particular emphasis on the North American Clemoids. This evolving understanding of the family’s taxonomic position underscores the dynamic nature of botanical classification and the importance of interdisciplinary approaches in discovering more about plant diversity and evolutionary relationships.
Furthermore, ongoing research into Cleomella serrulata’s genetic makeup and ecological interactions continues to unravel its complexities, shedding light on its evolutionary history and adaptive strategies [8]. Collaborative efforts between botanists, ecologists, and geneticists have enabled a more comprehensive understanding of this species’ ecological role and conservation needs, emphasizing the importance of interdisciplinary approaches in addressing contemporary challenges in biodiversity conservation. Cleomaceae have been central to several important ecological and evolutionary studies on floral morphology and development [9,10], the evolution of C4 photosynthesis [11,12,13,14,15], pollination biology [4], and comparative genomics [16,17] and transcriptomics [18,19]. The scientific interest in Cleomaceae is highly augmented by their close sister relationship to Brassicaceae, because the latter family includes the model organism Arabidopsis thaliana. However, Cleomaceae studies have been hindered by the lack of genomic information needed for taxonomic, evolutionary, and molecular biological studies. Although Cleomaceae is a family comprising some 270 species [2], before the current study, there was only one other Cleomella chloroplast genome in the NCBI Genbank database, NC_049613 from Cleomella lutea, which was deposited without publication or genomic analysis, and only two other Cleomaceae complete chloroplast genomes, of African origin, were recently described: MT948188 Thulinella chrysantha (=Cleome chrysantha) and NC_054213 Dipterygium glaucum (=Cleome pallida) [20]. In addition, two more distant Cleomaceae of African origin were also found in the NCBI database: NC_054276 Gynandropis gynandra and NC_066812 Coalisina paradoxa. That leaves the North American Cleomaceae very under-represented as far as chloroplast genome sequences and genome-based phylogenetic studies.
The primary objective of this study was to acquire the chloroplast genome of Cleomella serrulata for comparative analysis within the Cleomaceae family. By obtaining and analyzing the chloroplast genome, we aimed to identify evolutionary relationships, genetic variation, and potential adaptive traits within this taxonomic group.

2. Materials and Methods

2.1. Isolation and DNA Extraction

The Cleomella serrulata used in this study was collected in July 2023 from plants growing in our native garden at Bellevue University (41.15128 N, 95.91927 W). The native garden was established in 2020 and has been maturing for 4–5 years now. Cleomella species were not part of the initial intentional planting and have appeared naturally during the establishment of the native garden. Cleomella serrulata was identified using the USDA Plants Database (https://plants.usda.gov/home/plantProfile?symbol=CLSE, (accessed on 25 July 2024)) and the Minnesota Wildflower database (https://www.minnesotawildflowers.info/flower/rocky-mountain-beeplant, (accessed on 25 July 2024)). Plants were about 1 m tall and blooming at the time of sample collection. Leaf samples were collected and frozen at −80 °C in sterile tubes overnight.
For DNA isolation, we used several frozen plant leaves that were first cut up using sterile scissors and then ground to a paste using a sterile mortar and pestle. A total of 300 mg of ground-up Cleomella was used for total DNA extraction using the DNeasy Plant Mini kit (Qiagen (Germantown, MD, USA)). The following adaptations were made to the manufacturer’s protocol. The sample was subjected to bead beating for 2 min using 1.5 mm high-impact Zironium beads (BenchmarkScientific (Sayreville, NJ, USA)) in a BeadBug Microtube Homogenizer (model D1030, LABRepCo (Horsham, PA, USA)) at a speed of 3000 rpm, after adding lysis solution (AP1), to optimize tissue disruption. The incubation period at 65 °C was increased from 10 min to one hour. Subsequently, the sample was refrigerated at 4 °C overnight before adding Buffer P3, to increase cell lysis. DNA analysis using Qubit and NanoDrop showed a DNA concentration of 46 ng/L, with a 260/280 nm absorbance ratio of 1.53. A total of 460 ng of DNA was used for whole-genome sequencing.

2.2. DNA Sequencing, Mapping and Annotation

The sequencing library was prepared using the Illumina DNA Library Prep kit (Illumina (San Diego, CA, USA)). The genome was sequenced by an Illumina MiniSeq, using 500 µL of a 1.8 pM library. Paired-end (2 × 150 bp) sequencing generated 910,668 reads and 137.5 Mbps of sequencing data. The sequence read length distribution was 35–151 with >90% of the read lengths above 149 bp. Quality control of the reads was performed using FastQC (version 1.0.0) [21] within Basespace (Illumina (San Diego, CA, USA)), using a k-mer size of 5 and contamination filtering for over-represented sequences against the default contamination list. We assembled the genome de novo using SPAdes (version 3.9.0) [22] within BaseSpace.
To isolate the specific reads that belong to chloroplast DNA, the Illumina reads and assembled contigs were reassembled using Minimap2 (v2.24) [23] within Geneious Prime (v2024.0.3), with the Cleomella lutea chloroplast genome (NC_049613.1) as a reference genome. This aligned 25,476 reads to produce a consensus sequence of 154,482 bp.
The consensus sequence derived from the alignment and mapping process was annotated using AGORA, a bioinformatics platform specialized in chloroplast annotation [24]. Some of the coding regions were manually refined using BLAST comparison with reference chloroplast genomes from NCBI Genbank.

2.3. Phylogenetic Trees and ANI Calculations

To initiate the comparative analysis of chloroplast genomes within the Cleomaceae family, an NCBI BLAST (Basic Local Alignment Search Tool) search was conducted using a segment of the Cleomella chloroplast genome to identify homologous sequences within the Cleomaceae family. Subsequently, the multiple sequence alignment and phylogenetic tree construction were performed using MEGA X software (v11.0.13) [25]. The alignment process utilized the ClustalW algorithm to align sequences, accommodating for potential variations in sequence divergence. The resulting alignment was then used to construct a phylogenetic tree employing Maximum Likelihood, providing insights into the evolutionary relationships among Cleomella species. The evolutionary history was inferred by using the Maximum Likelihood method and General Time Reversible model [26]. The tree with the highest log likelihood (−451,022.84) is used. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The tree is drawn to scale, with branch lengths measured as the number of substitutions per site. This analysis involved 11 nucleotide sequences. Codon positions included were 1st + 2nd + 3rd + Noncoding. There were a total of 168261 positions in the final dataset. Evolutionary analyses were conducted in MEGA11 [25]. iTOL was used to draw the phylogenetic trees expressed in the Newick phylogenetic tree format [27].
The structural features of the chloroplast genomes of C. serrulata (NC_088033), C. lutea (NC_049613), Dipterygium glaucum (NC_054213), Thulinella chrysantha (MT948188), and Pachycladon cheesemanii (NC_021102) were compared using the mVISTA program [28] and the annotation of C. serrulata was used as a reference in the Shuffle-LAGAN mode [29].
For the 18S rRNA and ITS analyses, the evolutionary history was inferred by using the Maximum Likelihood method and Kimura 2-parameter model [30]. The trees with the highest log likelihood are shown (−2828.01 for 18SrRNA and −1857.22 for ITS). The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with the superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.0500 for 18SrRNA and parameter = 0.9221 for ITS)). The trees are drawn to scale, with branch lengths measured as the number of substitutions per site. This analysis involved 10 nucleotide sequences for 18S rRNA and 23 for ITS. There were a total of 1821 positions (18S rRNA) and 285 positions (ITS) in the final datasets. Evolutionary analyses were conducted in MEGA11 [25]. iTOL was used to draw the phylogenetic trees expressed in the Newick phylogenetic tree format [27].
This Whole Genome Shotgun project has been deposited in DDBJ/ENA/GenBank with the following accession number: NC_088033. The small ribosomal and ITS1 sequences have been submitted to Genbank and the corresponding accession number is PP512521. The Illumina raw sequence data have been submitted to Genbank and the SRA files are accessible as SRR30403524.

3. Results and Discussion

3.1. Sampling and Identification

The Cleomella serrulata samples were collected from a strain that grows in the Bellevue University Native Garden area (Figure 1) and designated as isolate ‘Nebraska_native’. For the initial species identification, based on morphological features, we used the descriptions provided by the USDA Plants Database (https://plants.usda.gov/home/plantProfile?symbol=CLSE, (accessed on 25 July 2024)) and the Minnesota Wildflower database (https://www.minnesotawildflowers.info/flower/rocky-mountain-beeplant, (accessed on 25 July 2024)). The plant’s distinguishing features were the elongated clusters of stalked purple flowers, with many flowers blooming in a rounded cluster. The flowers are composed of four sepals forming a bowl with four triangular leaves (Figure 1). The leaves are mostly compounded in sets of three and the leaflets are 3–5 cm long and about 1 cm wide. The plants were about 1 m tall and blooming at the time of sample collection. The leaf samples were collected and frozen at -80 C in sterile tubes overnight and used for total DNA extractions the next day. In late June, the plants appear to form slender, dangling fruit pods that are about 5 cm long (Figure 1, top right). The pods contained 12–22 seeds per pod with an elongated egg shape. Leaves and stem material was used for the DNA extraction.

3.2. Genome Sequencing and Chloroplast Structural Analysis

After Illumina paired-end sequencing, a total of 910,668 reads and 137.5 Mbps of genomic data was obtained. These reads were assembled using SPAdes, which yielded 307 contigs (>1000 bp) with an assembly length of 1,461,102 bp and a G+C molar percent of 39.23. The largest contig was 110,028 bp in length. Both the assembled contigs and the raw sequencing reads were used in MiniMap2 to assemble a complete consensus chloroplast genome, using the Cleomella lutea chloroplast genome (NC_049613) as a reference. The total size of the assembled C. serrulata chloroplast genome was 154,226 bp.
The assembled chloroplast genome of Cleomella serrulata revealed a typical chloroplast genome organization consistent with other angiosperms. The chloroplast genome is circular, double-stranded DNA with characteristic gene arrangements for plant chloroplasts (Figure 2 and Supplemental Table S1). The chloroplast contained photosynthesis-related genes, ribosomal RNA genes (5s, 16S, and 23S), 14 ribosomal rps genes, RuBisCo (rbc), the maturaseK gene (MatK), 10 NADH dehydrogenase subunits (ndhA-J), and 37 transfer RNA genes, amongst other conserved chloroplast genes (Figure 2). There are 107 CDS on the negative strand, while the remaining 123 CDS are encoded on the positive strand. There are introns in six of the tRNA sequences (trnK, trnG, trnL, trnV, trnI, and trnA), four of the ribosomal proteins (rps12, rps16, rpl2, and rpl16), and eight other protein-coding genes: atpF, rpoC1, pafI, clpP, ndhB, ndhA, petB, and petD. The overall chloroplast genome sequence has an average percent G+C content of 36.5%. The low average %GC is identical to the closely related Cleomella lutea chloroplast genome (the only other Cleomella genome currently in the database).

3.3. Comparative Genomics

Our study employed a whole genome-based comparative genomics approach to gain insights into evolutionary relationships and genetic divergence within the Cleomella genus. The phylogenetic analysis revealed a high degree of similarity between the chloroplast genomes of Cleomella serrulata and other members of the Cleomaceae family (Figure 3). There is currently only one other Cleomella chloroplast genome available in the database, from Cleomella lutea (NC_049613), and the whole-genome comparison showed this to be the closest relative, consistent with the taxonomic identification of our species based on morphological features. A more detailed comparative analysis demonstrated conserved gene content, gene order, and overall genome structure, indicative of a close evolutionary relationship among these two species.
No other Cleomella genomes are currently available in Genbank, which limits further taxonomic mitogenome-based analysis at the species level. The closest genera that have chloroplast data available are Thulinella (Cleomaceae), Dipterygium (Cleomaceae), Cadaba (Capparaceae), Crateva (Capparaceae), Pachycladon (Brassicaceae), Irenepharsus (Brassicaceae), and Arabidella (Brassicaceae) (Figure 3). A pairwise comparison of the bidirectional average nucleotide identity (ANIb) between Cleomella serrulata and its closest relatives showed it to have a close relationship with the other Cleomella species (lutea), with an ANI of 99.6%. The ANI of C. serrulata with the other Cleomaceae, Thulinella chrysantha, Cleome chrysantha, and Dipterygium glaucum, was lower, at 94.5%, 94.5%, and 94.1%. Similarly, the ANIb with the more divergent Cleomaceae, Gynandropis gynandra and Coalisina paradoxa, was 94.4% and 94.3%, while these showed ANI values of 95–96% with each other and with Thulinella chrysantha. However, similar ANIb values were obtained when comparing the Cleomella serrulata chloroplast to the species from the other families: Cadaba glandulosa, 93.9%; Crateva religiosa, 94.3%; Pachycladon cheesemanii, 93.4%; Irenepharsus magicus, 93.2%; and Arabidella filifolia, 93.3%. This indicates that Cleomella serrulata is evolutionarily nearly equidistant from its fellow Cleomaceae and the species from the nearby families, which is consistent with the clade distribution in Figure 3.
The structural characteristics of the DNA divergence between the different chloroplast genomes were analyzed by performing an mVISTA alignment of the closest Cleomaceae genomes (Figure 4). The Cleomella serrulata annotation was added as a reference and one of the Brassicaceae genomes (Pachycladon cheesemanii) was added for comparison. The alignment shows the close relationship between the two Cleomella species, but also indicates highly conserved genomes between the genera with few variations. As expected, the noncoding regions were less conserved than the coding regions (Figure 4), although four genes, atpF, ndhF, ndhA, ycf1, and to a lesser extent rpoC1, show a higher variability in their gene content. This indicates more evolutionary variation in these proteins and may imply more functional diversity in these proteins in C. lutea and C. serrulata.
Both the ANI and whole-chloroplast-based phylogenetic tree analyses show that the two Cleomella species clearly belong to a separate clade and validate their distinction as a separate genus. However, they are about equidistant from the other Cleomaceae genera (Thulinella, Cleome, and Dipterygium) as they are from the Capparaceae and Brassicaceae representatives. This indicates an earlier evolutionary separation of the Cleomella genus than the other genera in the Cleomaceae family. As more chloroplast genomes become available in this family in the future, a deeper evolutionary comparison should be performed, and this may potentially warrant a further refinement in the Cleomaceae taxonomy based on genomic comparisons.

3.4. Chloroplast Versus Nuclear DNA Evolution

In addition to the larger chloroplast isolation, we also identified an 18S rRNA sequence as part of an 8672 bp contig. This contig contained the native small subunit ribosomal RNA gene and internal transcribed spacer 1 (ITS1). When performing an NCBI BLAST, we found the 18S rRNA to be 99.94% identical to a previously isolated Cleomella serrulata sequence (voucher Ahrendsen, KT459185) (1806/1807 bp) isolated from Nebraska grasslands, which is additional confirmation of our species identification. There are currently no other Cleomella 18S rRNA sequences in the Genbank database and the closest relative in the NCBI BLAST analysis was Arabidella chrysodema (voucher PERTH 05393264; OL339508) with 98.57% identity (1788/1814 bp) to the 18S rRNA. A phylogenetic tree using a wider divergence of available 18S rRNA sequences from other families (Figure 5) confirms that our isolate belongs to the Cleomella genus and is clearly genetically separated from the other genera. The closest available relatives based on this 18S rRNA comparison were Leiospora (Brassicaceae), Cakile (Brassicaceae), and Camelina (Brassicaceae) (Figure 5).
A more commonly used genetic marker than 18S rRNA in plants and fungi is the internal transcribed spacer 1 (ITS1). There are more Cleomaceae ITS fragments in NCBI Genbank than 18S rRNA sequences, which allows for a more detailed placement of our isolate amongst the Cleomaceae. Figure 6 is a phylogenetic tree constructed with the closest ITS fragments available in the database. Note that many of the ITS fragments still contain the ‘Peritoma’ genus name in the database, which was updated to Cleomella in the last taxonomic revision [7]. Cleome ornithopioides is the type species of the genus Cleome and was also included in this tree [2]. This analysis clearly places our isolate as a strain of Cleomella serrulata amongst Cleomaceae, with C. lutea as the nearest relative. The species distribution in Figure 6 is consistent with the geographic distribution and with earlier single-gene-based analyses of some of these species [8]. The Western North American Cleomaceae genera form an obviously separate clade from the African/pan-tropical genera (blue and gray boxes in Figure 6). In addition, a clear separation is formed by the Cleomella lutea and Cleomella serrulata clade within the Western North American group (light and darker blue boxes in Figure 6). This clade also contains Cleomella (Peritoma) platycarpa, found from northeastern California to Idaho and Cleomella (Peritoma) jonesii, found in California, Arizona, and Mexico (https://powo.science.kew.org/, (accessed on 25 July 2024)).
A notable observation from our study was found in the comparison between the chloroplast genome and nuclear DNA (18S gene and ITS) sequences (Figure 3 and Figure 5). While the chloroplast genome exhibited consistency and similarity across Cleomella species, the nuclear 18S rRNA sequences displayed more significant divergence. However, this likely results from a lack of 18S rRNA and overall genetic information about other species closely related to Cleomella. The ITS phylogenetic comparison, on the other hand, allows for a broader comparison, and clearly shows C. serrulata and C. lutea as a distinct clade of the Cleomaceae family. This is in agreement with the whole-chloroplast genome comparison (Figure 3); however, the latter analysis shows that the C. serrulata/lutea clade may actually be equidistant from the other Cleomaceae and the other nearby families Brassicaceae and Capparaceae. Given the fact that the chloroplast genome comparison encompasses a much larger genetic fraction (as opposed to a single marker), this is likely to provide a deeper evolutionary comparison. Alternatively, this difference might also be due to the differences in using chloroplast versus nuclear DNA genetic markers, which may have different evolutionary rates. Comparing chloroplast and nuclear DNA sequences underscores the importance of integrating multiple molecular markers to comprehensively understand evolutionary patterns and species relationships. While nuclear DNA sequences provide valuable insights into species divergence and phylogenetic relationships, chloroplast genomes offer additional layers of genetic information, enriching our understanding of evolutionary processes. Having more chloroplast genomes and eventually nuclear genomes available in the future will certainly help clarify this issue.

3.5. Phylogenetic Comparisons

Our findings show that the isolated chloroplast genome sequence belongs to the Cleomella genus, and additionally, it corroborates previous studies suggesting that Cleomella is its own valid genus. Comparative analyses using chloroplast genomic data and earlier research support the taxonomic classification of Cleomella serrulata. Moreover, our results align with previous assertions regarding the evolutionary relationships and taxonomic placement of Cleomella species within the Cleomaceae family [5]. Comparative analyses with other angiosperm taxa further underscore the uniqueness of the chloroplast evolution within the Cleomaceae family and suggest an earlier evolutionary split of the Cleomella genus from the other genera in Cleomaceae. This implies potential adaptive strategies and evolutionary mechanisms driving genomic diversity within the Cleomella genus that could be revealed by further genomic sequencing and biochemical characterization studies.
Although the focus of this study is on North American Clemoids, our analyses show that the Cleomaceae family is clearly most closely related to Brassicaceae and possibly even closer to the Capparaceae family (Figure 3). This is not too surprising considering the fact that Cleomaceae historically were treated as a subfamily of Capparaceae [31] and the two were only split into separate families more recently, as had been previously proposed [32,33]. Other reports have shown the Capparaceae family to be more distant than the Brassicaceae compared to what is reported in our current study; however, those studies’ analyses were not based on complete genome comparisons [5,7,8]. There is certainly a need for more extensive genetic and genomic information for these families in order to finetune this taxonomy. The present study is a first step in that direction and is already providing a deeper insight into the Cleomaceae family and its genera throughout this complex and ancient plant evolution. This initial analysis shows that Cleomaceae may not be as monophyletic as has been expected and that the relationship between the three families needs to be further refined.
While our study focused on a limited set of Cleomella species, future research endeavors could benefit from expanding the scope of these comparative genomics analyses. Including a broader range of genomes from Cleomella taxa and incorporating additional molecular markers beyond chloroplast genomes and nuclear marker sequences will undoubtedly enhance our understanding of evolutionary patterns, species relationships, and genetic diversity within the genus, and may warrant further rearrangement of the Cleomaceae and specifically the phylogenetic positioning of the Cleomella genus.

4. Conclusions

In conclusion, our study presents a comprehensive analysis of the chloroplast genomes within the Cleomella genus, shedding light on their structural features, genetic content, and evolutionary relationships. We have elucidated key insights into the evolutionary dynamics shaping this diverse plant group. Our findings highlight a strong conservation of chloroplast genome organization and gene content across Cleomella species, indicative of their close evolutionary relationship and shared ancestry. However, it also shows that the Cleomella genus likely underwent an earlier evolutionary split from the other genera in Cleomaceae.
Looking ahead, our study sets the stage for future research endeavors to explore the evolutionary history, genetic diversity, and adaptive traits within the Cleomella genus. Expanding comparative genomic studies to include a broader range of taxa and incorporating additional molecular markers can further unravel the intricate evolutionary dynamics shaping plant biodiversity. Compared to crop and agricultural plant species, the genomic information of native plant species is still very limited, which hampers more detailed plant evolutionary studies. Overall, our findings contribute to the growing body of knowledge surrounding plant evolution and biodiversity, emphasizing the importance of interdisciplinary approaches and collaborative efforts in advancing our understanding of the natural world.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ijpb15030065/s1: Table S1: Summary of genetic features located in the complete Cleomella serrulata chloroplast genome.

Author Contributions

Conceptualization, J.A.K. and J.R.; methodology, K.J.T., E.K.S. and J.A.K.; software, E.K.S., K.J.T. and J.A.K.; validation, K.J.T., E.K.S. and J.A.K.; formal analysis, M.K.V., K.J.T., E.K.S. and J.A.K.; investigation, M.K.V., K.J.T., E.K.S. and J.A.K.; resources, J.A.K. and J.R.; data curation, M.K.V., K.J.T. and J.A.K.; writing—original draft preparation, M.K.V. and J.A.K.; writing—review and editing, M.K.V., E.K.S., K.J.T., J.R. and J.A.K.; visualization, M.K.V. and J.A.K.; supervision, J.A.K.; project administration, J.A.K.; funding acquisition, J.A.K. All authors have read and agreed to the published version of the manuscript.

Funding

This work was sponsored by the Wilson Enhancement Fund for Applied Research in Science at Bellevue University.

Informed Consent Statement

Not applicable.

Data Availability Statement

This Whole Genome Shotgun project has been deposited in DDBJ/ENA/GenBank with the following accession number: NC_088033. The small ribosomal and ITS1 sequences have been submitted to Genbank and the corresponding accession number is PP512521. The Illumina raw sequence data have been submitted to Genbank and the SRA files are accessible as SRR30403524.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Riser, J.P.; Cardinal-McTeague, W.M.; Hall, J.C.; Hahn, W.J.; Sytsma, K.J.; Roalson, E.H. Phylogenetic relationships among the North American Cleomoids (Cleomaceae): A test of Iltis’s reduction series. Am. J. Bot. 2013, 100, 2102–2111. [Google Scholar] [CrossRef] [PubMed]
  2. Roalson, E.H. A revised synonymy, typification and key to species of Cleome sensu stricto (Cleomaceae). Phytotaxa 2021, 496, 54–68. [Google Scholar] [CrossRef]
  3. Barker, M.S.; Vogel, H.; Schranz, M.E. Paleopolyploidy in the Brassicales: Analyses of the Cleome transcriptome elucidate the history of genome duplications in Arabidopsis and other Brassicales. Genome Biol. Evol. 2009, 1, 391–399. [Google Scholar] [CrossRef]
  4. Cane, J.H. Breeding biologies, seed production and species-rich bee guilds of Cleome lutea and Cleome serrulata (Cleomaceae). Plant Species Biol. 2008, 23, 152–158. [Google Scholar] [CrossRef]
  5. Patchell, M.J.; Roalson, E.H.; Hall, J.C. Resolved phylogeny of Cleomaceae based on all three genomes. Taxon 2014, 63, 315–328. [Google Scholar] [CrossRef]
  6. Adams, K.R.; Stewart, J.D.; Baldwin, S.J. Pottery paint and other uses of Rocky Mountain Beeweed (Cleome serrulata pursh) in the Southwestern United States: Ethnographic Data, Archæological Record, and elemental composition. Kiva 2002, 67, 339–362. [Google Scholar] [CrossRef]
  7. Roalson, E.H.; Hall, J.C.; Riser, J.P., II; Cardinal-McTeague, W.M.; Cochrane, T.S.; Sytsma, K.J. A revision of generic boundaries and nomenclature in the North American Cleomoid clade (Cleomaceae). Phytotaxa 2015, 205, 129. [Google Scholar] [CrossRef]
  8. Hall, J.C. Systematics of Capparaceae and Cleomaceae: An evaluation of the generic delimitations of capparis and cleome using plastid DNA sequence data this paper is one of a selection of papers published in the special issue on systematics research. Botany 2008, 86, 682–696. [Google Scholar] [CrossRef]
  9. Nozzolillo, C.; Amiguet, V.T.; Bily, A.C.; Harris, C.S.; Saleem, A.; Andersen, O.M.; Jordheim, M. Novel aspects of the flowers and floral pigmentation of two Cleome species (Cleomaceae), C. hassleriana and C. serrulata. Biochem. Syst. Ecol. 2010, 38, 361–369. [Google Scholar] [CrossRef]
  10. Patchell, M.J.; Bolton, M.C.; Mankowski, P.; Hall, J.C. Comparative floral development in Cleomaceae reveals two distinct pathways leading to monosymmetry. Int. J. Plant Sci. 2011, 172, 352–365. [Google Scholar] [CrossRef]
  11. Brown, N.J.; Parsley, K.; Hibberd, J.M. The future of C4 research—Maize, Flaveria or Cleome? Trends Plant Sci. 2005, 10, 215–221. [Google Scholar] [CrossRef] [PubMed]
  12. Marshall, D.M.; Muhaidat, R.; Brown, N.J.; Liu, Z.; Stanley, S.; Griffiths, H.; Sage, R.F.; Hibberd, J.M. Cleome, a genus closely related to Arabidopsis, contains species spanning a developmental progression from C3 to C4 photosynthesism. Plant J. 2007, 51, 886–896. [Google Scholar] [CrossRef] [PubMed]
  13. Voznesenskaya, E.V.; Koteyeva, N.K.; Chuong, S.D.X.; Ivanova, A.N.; Barroca, J.; Craven, L.A.; Edwards, G.E. Physiological, anatomical and biochemical characterisation of photosynthetic types in genus Cleome (Cleomaceae). Funct. Plant Biol. 2007, 34, 247–267. [Google Scholar] [CrossRef] [PubMed]
  14. Feodorova, T.A.; Voznesenskaya, E.V.; Edwards, G.E.; Roalson, E.H. Biogeographic patterns of diversification and the origins of C4 in Cleome (Cleomaceae). Syst. Bot. 2010, 35, 811–826. [Google Scholar] [CrossRef]
  15. Koteyeva, N.K.; Voznesenskaya, E.V.; Roalson, E.H.; Edwards, G.E. Diversity in forms of C-4 in the genus Cleome (Cleomaceae). Ann. Bot. 2011, 107, 269–283. [Google Scholar] [CrossRef]
  16. Schranz, M.E.; Mitchell-Olds, T. Independent ancient polyploidy events in the sister families Brassicaceae and Cleomaceae. Plant Cell 2006, 18, 1152–1165. [Google Scholar] [CrossRef]
  17. Cheng, S.; Van den Bergh, E.; Zeng, P.; Zhong, X.; Xu, J.; Liu, X.; Hofberger, J.; Bruijn, S.; Bhide, A.S.; Bian, C.; et al. The Tarenaya hassleriana Genome Provides Insight into Reproductive Trait and Genome Evolution of Crucifers. Plant Cell 2013, 25, 2813–2830. [Google Scholar] [CrossRef]
  18. Brautigam, A.; Kajala, K.; Wullenweber, J.; Sommer, M.; Gagneul, D.; Weber, K.L.; Carr, K.M.; Gowik, U.; Mass, J.; Lercher, M.J.; et al. An mRNA Blueprint for C4 photosynthesis derived from comparative transcriptomics of closely related C3 and C4 species. Plant Physiol. 2011, 155, 142–156. [Google Scholar] [CrossRef]
  19. Brautigam, A.; Mullick, T.; Schliesky, S.; Weber, A.P.M. Critical assessment of assembly strategies for non-model species mRNA-Seq data and application of next-generation sequencing to the comparison of C3 and C4 species. J. Exp. Bot. 2011, 62, 3093–3102. [Google Scholar] [CrossRef]
  20. Alzahrani, D.; Albokhari, E.; Yaradua, S.; Abba, A. Complete chloroplast genome sequences of Dipterygium glaucum and Cleome chrysantha and other Cleomaceae Species, comparative analysis and phylogenetic relationships. Saudi J. Biol. Sci. 2021, 28, 2476–2490. [Google Scholar] [CrossRef]
  21. Andrews, S. FastQC: A Quality Control Tool for High Throughput Sequence Data; Babraham Institute: Cambridge, UK, 2010; Available online: http://www.bioinformatics.babraham.ac.uk/projects/fastqc (accessed on 31 May 2024).
  22. Bankevich, A.; Nurk, S.; Antipov, D.; Gurevich, A.A.; Dvorkin, M.; Kulikov, A.S.; Lesin, V.M.; Nikolenko, S.I.; Pham, S.; Prjibelski, A.D. SPAdes: A new genome assembly algorithm and its applications to single-cell sequencing. J. Comp. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef] [PubMed]
  23. Li, H. Minimap2: Pairwise alignment for nucleotide sequences. Bioinformatics 2018, 34, 3094–3100. [Google Scholar] [CrossRef] [PubMed]
  24. Jung, J.; Kim, J.I.; Jeong, Y.-S.; Yi, G. AGORA: Organellar genome annotation from the amino acid and nucleotide references. Bioinformatics 2018, 34, 2661–2663. [Google Scholar] [CrossRef]
  25. Tamura, K.; Stecher, G.; Kumar, S. MEGA 11: Molecular Evolutionary Genetics Analysis Version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef]
  26. Nei, M.; Kumar, S. Molecular Evolution and Phylogenetics; Oxford University Press: New York, NY, USA, 2000. [Google Scholar]
  27. Letunic, I.; Bork, P. Interactive Tree Of Life (iTOL) v4: Recent updates and new developments. Nucleic Acids Res 2019, 47, 256–259. [Google Scholar] [CrossRef]
  28. Mayor, C.; Brudno, M.; Schwartz, J.R.; Poliakov, A.; Rubin, E.M.; Frazer, K.A.; Pachter, L.S.; Dubchak, I. VISTA: Visualizing global DNA sequence alignments of arbitrary length. Bioinformatics 2000, 16, 1046–1047. [Google Scholar] [CrossRef] [PubMed]
  29. Frazer, K.A.; Pachter, L.; Poliakov, A.; Rubin, E.M.; Dubchak, I. VISTA: Computational tools for comparative genomics. Nucleic Acids Res. 2004, 32, W273–W279. [Google Scholar] [CrossRef] [PubMed]
  30. Kimura, M. A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. J. Mol. Evol. 1980, 16, 111–120. [Google Scholar] [CrossRef]
  31. Pax, F.; Hoffmann, K. Capparidaceae. In Die Natürlichen Pflanzenfamilien, 2nd ed.; Engler, A., Prantl, K., Eds.; Engelmann: Leipzig, Germany, 1936; Volume 17, pp. 146–233. [Google Scholar]
  32. Airy Shaw, H.K. Diagnoses of new families, new names, etc., for the seventh edition of Willis’s ‘Dictionary’. Kew Bull. 1965, 18, 249–273. [Google Scholar] [CrossRef]
  33. Hutchinson, J. The Genera of Flowering Plants; Clarendon Press: Oxford, UK, 1967. [Google Scholar]
Figure 1. Cleomella serrulata as found in the Natural Sciences Native Garden at Bellevue University in Nebraska, US.
Figure 1. Cleomella serrulata as found in the Natural Sciences Native Garden at Bellevue University in Nebraska, US.
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Figure 2. Complete chloroplast genome and gene organization of the annotated Cleomella serrulata chloroplast. The genome was annotated using AGORA.
Figure 2. Complete chloroplast genome and gene organization of the annotated Cleomella serrulata chloroplast. The genome was annotated using AGORA.
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Figure 3. Phylogenetic tree of the complete chloroplast genomes for all available Cleomaceae and related families. The new genome is marked in red. Accession numbers from Genbank are included with the names. The tree was generated by using the Maximum Likelihood method and General Time Reversible model within MEGA 11. Bootstrap values were inferred from 500 replicates. iTOL was used to visualize the phylogenetic tree format.
Figure 3. Phylogenetic tree of the complete chloroplast genomes for all available Cleomaceae and related families. The new genome is marked in red. Accession numbers from Genbank are included with the names. The tree was generated by using the Maximum Likelihood method and General Time Reversible model within MEGA 11. Bootstrap values were inferred from 500 replicates. iTOL was used to visualize the phylogenetic tree format.
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Figure 4. Comparison of four chloroplast genomes in the Cleomaceae family and one of the Brassicaceae (Pachycladon). Cleomella serrulata was used as a reference and its annotation is shown at the top of each row. The horizontal axis indicates the coordinates in the chloroplast genome and the vertical axis indicates the percentage identity (between 50 and 100%).
Figure 4. Comparison of four chloroplast genomes in the Cleomaceae family and one of the Brassicaceae (Pachycladon). Cleomella serrulata was used as a reference and its annotation is shown at the top of each row. The horizontal axis indicates the coordinates in the chloroplast genome and the vertical axis indicates the percentage identity (between 50 and 100%).
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Figure 5. Phylogenetic tree based on 18S rRNA sequences for all available Cleomaceae and closest families. The new isolate is marked in red. Accession numbers are included. The phylogenetic tree was generated by using the Maximum Likelihood method and Kimura 2-parameter model within MEGA 11. Bootstrap values were inferred from 500 replicates. iTOL was used to draw the phylogenetic trees expressed in the Newick phylogenetic tree format.
Figure 5. Phylogenetic tree based on 18S rRNA sequences for all available Cleomaceae and closest families. The new isolate is marked in red. Accession numbers are included. The phylogenetic tree was generated by using the Maximum Likelihood method and Kimura 2-parameter model within MEGA 11. Bootstrap values were inferred from 500 replicates. iTOL was used to draw the phylogenetic trees expressed in the Newick phylogenetic tree format.
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Figure 6. Phylogenetic tree based on ITS1 sequences for Cleomaceae. The new isolate is marked in red. Accession numbers are included. The phylogenetic tree was generated by using the Maximum Likelihood method and Kimura 2-parameter model within MEGA 11. Bootstrap values were inferred from 500 replicates. iTOL was used to draw the phylogenetic trees expressed in the Newick phylogenetic tree format.
Figure 6. Phylogenetic tree based on ITS1 sequences for Cleomaceae. The new isolate is marked in red. Accession numbers are included. The phylogenetic tree was generated by using the Maximum Likelihood method and Kimura 2-parameter model within MEGA 11. Bootstrap values were inferred from 500 replicates. iTOL was used to draw the phylogenetic trees expressed in the Newick phylogenetic tree format.
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Vasquez, M.K.; Stock, E.K.; Terrell, K.J.; Ramirez, J.; Kyndt, J.A. Unraveling Evolutionary Dynamics: Comparative Analysis of Chloroplast Genome of Cleomella serrulata from Leaf Extracts. Int. J. Plant Biol. 2024, 15, 914-926. https://doi.org/10.3390/ijpb15030065

AMA Style

Vasquez MK, Stock EK, Terrell KJ, Ramirez J, Kyndt JA. Unraveling Evolutionary Dynamics: Comparative Analysis of Chloroplast Genome of Cleomella serrulata from Leaf Extracts. International Journal of Plant Biology. 2024; 15(3):914-926. https://doi.org/10.3390/ijpb15030065

Chicago/Turabian Style

Vasquez, Madelynn K., Emma K. Stock, Kaziah J. Terrell, Julian Ramirez, and John A. Kyndt. 2024. "Unraveling Evolutionary Dynamics: Comparative Analysis of Chloroplast Genome of Cleomella serrulata from Leaf Extracts" International Journal of Plant Biology 15, no. 3: 914-926. https://doi.org/10.3390/ijpb15030065

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