Abstract
GroE is a chaperonin folding system consisting of GroEL (Cpn60, a 60 kDa chaperonin), and the smaller co-chaperonin GroES (Cpn10). Many ‘client’ proteins require GroE to fold properly, including several that are essential for cell viability. GroE is found in nearly all bacteria and eukaryotes. Mollicutes are the only micro-organisms that lack GroE in almost all cases. Only two clades of Mollicutes have retained the ancestral GroE system, or perhaps reacquired one; these exceptions include the family Acholeplasmataceae, consisting of the genera Acholeplasma and ‘Candidatus Phytoplasma’. The role of GroEL in these unique Mollicutes is a source of speculation, given how many non-canonical ‘moonlighting’ roles have been ascribed to this protein. GroEL has been suggested to play a role in pathogenesis in plant and animal pathogenic Mollicutes by binding to host cells and facilitating invasion. However, in one further layer of exception, the phytopathogenic taxon ‘Candidatus Phytoplasma pruni’ (ribosomal group 16SrIII) was reported in 2012 to lack a GroE system. This study confirms the lack of a functional GroE system in 16SrIII by providing two new, high-quality, non-fragmented genome assemblies, as well as a thorough survey of other 16SrIII genomes for genes encoding GroEL/GroES, including those that may not resemble phytoplasma GroEL (i.e. acquired by horizontal gene transfer, HGT). We discuss the implications of a clearly phytopathogenic, invasive group of Mollicutes that nevertheless lacks GroE, in light of the presumed role of GroEL for this species. We determined that multiple genomes of 16SrIII contain short, non-functional groEL pseudogenes, while most of the reported genomes lack any semblance of a GroE system. Examination of the new assemblies allowed us to rule out HGT as a means of GroE acquisition.
Keywords: Acholeplasma, evolution, genome reduction, phytoplasma, pseudogenes
Impact Statement.
Mollicutes depend on host cells to replicate and survive, and many cause disease in animals and plants. Their obligate intracellular lifestyle, combined with extensive genome reduction, has long complicated efforts to understand the molecular mechanisms underlying infection. Among the systems commonly lost during this reductive evolution is the GroE chaperonin complex (GroES–GroEL), best known for its essential role in protein folding but also associated with diverse pathogenic functions in other bacteria. Using genome sequencing and comparative genomics, we determined that phytoplasmas within the 16SrIII group have independently lost a functional GroE system. Approximately half of the analysed genomes retain only a vestige of a fragmented groEL pseudogene, whereas the remainder show a complete absence of GroE. This pattern indicates an ancient gene loss event and suggests that GroEL is unlikely to contribute to virulence in this lineage. Instead, these phytoplasmas may rely more heavily on host-derived chaperonin or alternative folding pathways to maintain proteostasis. By revealing differential retention of GroE among phytoplasma lineages, this study provides new insight into the evolutionary pressures shaping their minimalist genomes. It highlights gene loss as a dynamic and lineage-specific process and raises broader questions about how intracellular bacteria adapt, maintain protein function and evolve pathogenicity in the absence of canonical cellular machinery.
Data Summary
The authors confirm that all supporting data, code and protocols have been provided within the article or through supplementary data files. Supplementary files are provided via Figshare (https://doi.org/10.6084/m9.figshare.32145184).
Introduction
Mollicutes, so named because of their lack of a cell wall (Latin mollis, soft, + cutis, skin), are a major group within the Gram-positive phylum Bacillota (formerly Firmicutes). This class of bacteria is believed to have evolved around 600 million years ago [1] through a reductive process whereby the micro-organisms reduced the metabolic capacities and structural features encoded on their genomes as they adopted an obligately intracellular lifestyle. Extant Mollicutes are universally dependent on eukaryotic host cells to complement their limited metabolic functions, although a few, notably mycoplasmas, can be cultured in complex artificial medium and are a common contaminant of eukaryotic cell cultures [2]. Mollicutes are commonly associated with pathogenesis in plants (Spiroplasma, ‘Candidatus Phytoplasma’) [3,4] and animals (Mycoplasma) [5]. Due to their reduced genomes, Mollicutes are among the bacteria with the smallest genome size – Mycoplasma genitalium possesses one of the smallest known bacterial genomes at 580 kbp [6]. Other unique features of Mollicute genomes include a low G+C content, and the use of the codon UGA for tryptophan rather than a stop codon as in other bacteria [7]. The single exception to the latter characteristic is the family Acholeplasmataceae, which consists of the two genera Acholeplasma and ‘Candidatus Phytoplasma’. Since these taxa use UGA as a stop codon, which is characteristic of non-Mollicute bacteria, they are presumed to be more closely related to the ancestral taxon [1,8].
The protein chaperonin system (GroE) consists of the two proteins GroEL (synonym Cpn60) and GroES (synonym Cpn10) [9]. This system is canonically involved in the prevention of aggregate formation and proper folding of cellular proteins as a part of the basic protein biosynthetic machinery, and for this reason, these two genes are anticipated to be present in all prokaryotic and eukaryotic cells [10]. GroE ‘client proteins’ include several that are essential for cell viability, so that a loss of this system is thought to result in a cell that is nonviable [11]. Mollicutes, however, are also unique in being the only known cells that generally lack a GroE system, although it is present in a subset of these micro-organisms [12]. Because the GroE system is an ancestral property (i.e. it is present in all non-Mollicute bacteria), it is thought that Mollicutes lost these genes during genome reduction [11,12]. The retention, or re-acquisition, of GroE is polyphyletic, with two groups of Mollicutes featuring these genes: a smaller clade consisting of Mycoplasma gallisepticum, M. genitalium and Mycoplasma pneumoniae, and a much larger group, including nearly all of the acholeplasmas and phytoplasmas [11]. In addition, there are at least three clear instances of the acquisition of groEL by horizontal gene transfer (HGT) in Mollicutes: the gene of Mycoplasma penetrans is more closely related to that of Helicobacter pylori than other mycoplasmas [12], and two species of Spiroplasma, Spiroplasma turonicium and Spiroplasma kunkelii, appear to have acquired groEL genes by HGT [11].
These observations have led to speculation regarding the role of these proteins within these intracellular micro-organisms, particularly since a very wide array of non-canonical ‘moonlighting’ roles has been ascribed to GroEL in prokaryotic and eukaryotic cells [13]. Notably, Clark and Tillier [12] proposed that, among Mollicutes that encode GroEL in their genomes, the protein may play a role in pathogenesis by acting as an adhesin/invasin, suggesting that the re-acquisition or retention of the GroE chaperonin system may be associated with virulence. This notion is supported by a wide variety of observations that non-Mollicute bacteria can localize GroEL to the cell surface or even secrete the protein into the extracellular space, clearly indicating a non-canonical, virulence-associated role for the protein in certain bacteria [14,16]. These considerations provide strong reasons to consider carefully the role of GroEL and the GroE system in pathogenic Mollicutes that have retained or re-acquired these genes.
Phytoplasmas, plant pathogenic micro-organisms that are transferred between host plants through an insect vector [17], are among the two groups of Mollicutes that are typically considered to have retained or re-acquired a GroE system [11]. However, an exception to this was noted when the genomes of four members of the ribosomal group 16SrIII, classified as ‘Candidatus Phytoplasma pruni’ were sequenced, revealing a lack of genes annotated as groES or groEL in these taxa [18]. However, all of these genomes are highly fragmented, with at least 150 contigs present in each. Phytoplasma genomes have proven to be difficult to sequence prior to the introduction of long-read sequencing technologies. Despite technological developments for sample preparation, including antibody-based enrichment [19], many phytoplasma genomes deposited in public repositories remain fragmented and incomplete. This hinders the search for groEL and groES genes in phytoplasma genomes and can mask the possibility of gene acquisition by HGT. Thus, the reported lack of a GroE system in this singular group of phytoplasmas remains an unresolved question.
We address this issue by examining all reported genomes of ‘Candidatus Phytoplasma pruni’ for the presence of groEL/groES genes or pseudogenes and provide two new high-quality genome assemblies for 16SrIII phytoplasmas in subgroups A and F. We report the pseudogenization of groEL and a complete lack of groES in four groups of these phytoplasmas and have confirmed through analysis of all reported high-quality phytoplasma genomes that the 16SrIII group constitutes the only phytoplasmas that truly lack a chaperonin system. This observation supports the lack of a moonlighting role for GroEL in host cell attachment and invasion and, supported by our findings, instead suggests that the protein primarily fulfils its canonical function of folding client proteins in phytoplasmas.
Methods
Strain sources and sampling
Syringa (lilac) infected with ‘Ca. P. pruni’ (16SrIII) strain 2A1 was maintained at the Centre for Plant Health, Canadian Food Inspection Agency, North Saanich, British Columbia, Canada. Symptomatic milkweed (Asclepias sp.) was observed at the Canadensis Botanical Garden, Central Experimental Farm of Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada (45° 23′ 03.8″ N 75° 42′ 19.3″ W) (Fig. 1). The sample taken from one of these plants (S4) is called MYp-Canadensis (Milkweed Yellows phytoplasma-Canadensis).
Fig. 1. (a) Healthy (image purchased from shutterstock.com) and symptomatic milkweed (observed at the Canadensis Botanical Garden, Ottawa, Ontario, Canada). (b) Genome map of MYp-CanS4.
DNA extraction, PCR and sequencing
For both plant types, leaf tissue (midrib and petiole) was cut from infected leaves and homogenized in liquid nitrogen using a mortar and pestle that was pre-treated with DNAaway (Thermo Fisher). DNA was extracted from the plant material using a Wizard High Molecular Weight DNA extraction kit (Promega). DNA yield was determined using a Qubit fluorometer (Thermo Fisher), and molecular weight was assessed using agarose gel electrophoresis.
Phytoplasma infection of the milkweed tissue was confirmed using a qPCR assay targeting 16S rRNA genes as described [20]. The phytoplasma was typed using nested PCR amplification of 16S genes (F2nR2) [21,22], and cloned amplicons were sequenced by Sanger (Eurofins). The Restriction Fragment Length Polymorphism (RFLP) type was determined for six clones using the iPhyClassifier [23].
Bacterial DNA was enriched from the leaf DNA extract using a NEBNext Microbiome Enrichment Kit (New England Biolabs) as previously described [24]. Both short-read Illumina and long-read Oxford Nanopore Technologies (ONT; nanopore) were used for genome sequencing. For Illumina, 0.5 µg of enriched DNA was used as the input material for each DNA library preparation. The sequencing libraries were generated using a NEBnext UltraII FS DNA lib prep kit E7805 >100 ng, according to the manufacturer’s instructions, with the following specifications: 10 min fragmentation, size selection using 30 µl/10 µl beads for 200–475 bp, 5 cycles of amplification and use of dual index barcodes using NEBnext multiplex oligos for Illumina (NEB, USA). The DNA libraries were sequenced on an Illumina NovaSeq 6000 platform (Illumina, San Diego, USA), and 150 bp paired-end reads were generated. For ONT sequencing, 0.12 µg for bacterial-enriched lilac and 0.525 µg for bacterial-enriched milkweed DNA were used as the input material for the library preparations. The sequencing library was prepared using an ONT Ligation Sequencing Kit (LSK-SQK114), followed by sequencing on a MinION Mk1C device (ONT, Oxford, UK).
Bioinformatics
Illumina reads were quality-trimmed using Trimmomatic v0.39 [25], by removing bases from the beginning of reads with a quality score below 3, from the end of reads with a quality score below 20, and cutting any reads with a quality score below 15 over a sliding window of 4 bases. Reads shorter than 36 bases after trimming were removed. The Illumina reads from the lilac-2A1 sample were then mapped (without merging, to minimize read loss) using a reference database prepared from ‘Ca. P. pruni’ strain PR2021 (GCA_029746895) with Bowtie2 v2.4.1 [26]. The MYp-Canadensis Illumina reads were mapped using BWA v0.7.17-r1188 [27] with a reference database prepared from the previously reported milkweed yellows genome (GCA_000309485). Nanopore reads were not mapped but were filtered to exclude reads under 1,000 bp and retain the top 90% of reads based on quality scores using Filtlong v0.2.1 (https://github.com/rrwick/Filtlong). Illumina and nanopore reads were co-assembled using Unicycler v0.5.0 [28]. Assemblies were examined for the possible presence of plasmids using Plasmer v0.1 20220816 [29], and assembly completeness was assessed using Busco v5.8.2 [30] with the default Mollicutes reference database (mollicutes_odb10). Completeness and contamination of the genomes were also examined using CheckM2 v1.1.0 [31]. Assembled genomes were annotated locally using Bakta v1.11.0 [32], as well as by NCBI using PGAP [33].
To examine the sequencing data for evidence of HGT, a separate assembly was prepared for the MYp-Canadensis sample by removing host reads (including chromosomes, mitochondria and chloroplast) using BMTagger v3.101 [34]. Chromosomal sequences for Asclepias syriaca were downloaded from milkweedbase.org, while chloroplast (NC_022432.1) and mitochondrial (NC_022796.1) genomes were downloaded from NCBI. Nanopore reads were filtered to exclude those under 1,000 bp and retain the top 90% by quality score using Filtlong v0.2.1, then mapped to remove host reads using Minimap2 v2.28 [35]. These reads were then used to generate a Unicycler assembly from all non-host reads. Any assembly fragments that contained a groEL gene (identified by blast) were typed at cpnDB (https://research-groups.usask.ca/hilllab/cpndb.php), and the sequences flanking groEL were analysed by blast at NCBI to determine if the genomic context of the identified groEL gene provided the same taxonomic identification.
Examination of previously reported phytoplasma genomes
To retrieve all phytoplasma genomes from GenBank, the NCBI Genomes database (https://www.ncbi.nlm.nih.gov/datasets/genome/) was queried using the search term ‘phytoplasma’. This search (1 January 2025) retrieved 271 genomes, from which a single example of each unique taxid was selected. In cases where multiple taxid were represented, the genome with the highest completeness score reported was selected. Genomes with a reported CheckM completeness score below 90% were excluded from analysis. This resulted in 65 phytoplasma genomes in the final dataset (Table S2, available in the online Supplementary Material). Genomes corresponding specifically to group 16SrIII were downloaded from NCBI using the information provided by Fernández et al. [36] (Table 1). Genes annotated as groEL, groES and 16S rRNA were selected from each genome outside of group 16SrIII. In addition, taxonomic markers secY, secA, tuf and nusA [37] were retrieved from peanut witches’ broom phytoplasma (PnWB; GCA_000364425.1) and from selected 16SrIII genomes.
Table 1. ‘Candidatus Phytoplasma pruni’ group 16SrIII genomes included in the analysis reported in this work. This table is based on and modified from Fernández et al. [36].
| Phytoplasma | Strain | 16SrIII-subgroup | Genome level (fragments – completeness) | Host | Location | Accession | Genome size (kb) | Reference |
|---|---|---|---|---|---|---|---|---|
| Cicuta witches’ broom | CicWB | 16SrIII-J | Contig (16–96.7%) | Conium maculatum | Argentina | GCA_035853675.1 | 758 | [36] |
| Phytoplasma Vc33 | Vc33 | 16SrIII-J | Contig (36–87.4%) | Catharanthus roseus | Chile | GCA_001623385.2 | 687 | [57] |
| China tree decline | ChTDIII | 16SrIII-B | Contig (67–97.4%) | Melia azedarach | Argentina | GCA_013391955.1 | 791 | [58] |
| Italian clover phyllody | MA | 16SrIII-B | Contig (197–94.0%) | C. roseus | Italy | GCA_000300695.1 | 597 | [18] |
| Poinsettia branch-inducing | JR | 16SrIII-A | Contig (185–96.0%) | Euphorbia pulcherrima | USA | GCA_000309465.1 | 631 | [18] |
| Milkweed yellows phytoplasma | MW | 16SrIII-F | Contig (158–94.0%) | C. roseus | Canada | GCA_000309485 | 584 | [18] |
| Vaccinium witches’ broom | VAC | 16SrIII-F | Contig (272–96.7%) | Vaccinium myrtillus | Italy | GCA_000309405.1 | 648 | [18] |
| ‘Candidatus Phytoplasma pruni’ | PR2021 | 16SrIII-A | Chromosome (1–97.4%) | E. pulcherrima | Taiwan | GCA_029746895.1 | 710 | [59] |
| ‘Candidatus Phytoplasma pruni’ | CX | 16SrIII-A | Contig (46–93.4%) | C. roseus | USA | GCA_001277135.1 | 599 | [60] |
| Lettuce witches’ broom phytoplasma | LWB | 16SrIII-X | Chromosome (1–96.7%) | Lactuca sativa | Argentina | GCA_051397825.1 | 659 | [61] |
| Milkweed yellows phytoplasma | MYp-CanS4 | 16SrIII-F | Contig (7–97.4%) | A. syriaca | Canada | GCA_050286905.1 | 694 | This work |
| ‘Candidatus Phytoplasma pruni’ | 2A1 | 16SrIII-A | Contig (2–97.4%) | Lilac | Canada | GCA_033391615.1 | 625 | This work |
Phylogenetic analysis
Phylogenetic trees were generated to evaluate both taxonomic placement and gene-level relationships among phytoplasma genomes. The 16S rRNA genes were extracted from all genomes using the annotation done in Bakta and aligned to representative sequences of each phytoplasma group. Maximum likelihood phylogenetic reconstruction was performed using IQ-TREE2 [38] with automatic model selection and branch support estimated by 1,000 ultrafast bootstrap replicates (UFBoot2). A second phylogenetic analysis was performed using the groEL gene sequences, also obtained from Bakta annotations. The groEL sequences were aligned, and a maximum likelihood tree was constructed with IQ-TREE2 using the same parameters and ultrafast bootstrap support estimation. The topology was visualized and annotated using the Interactive Tree of Life (iTOL) [39] for direct comparison with the 16S-based tree. The resulting trees were visualized and annotated using iTOL.
Examination of 16SrIII genomes for sequences related to groEL and groES
Each of the downloaded genomes was used to prepare a local blast database. The 16SrIII genome 2A1 was queried using tBLASTn, and a GroEL amino acid sequence from ‘Ca. P. asteris’ (strain AYWB; cpnDB ID b8392; 16SrI) as input. This retrieved a short DNA sequence (165 bp) that encoded a predicted protein of 55 amino acids with a BLASTp match to phytoplasma GroEL. This sequence was then used to query all other 16SrIII genomes using BLASTn. The predicted amino acid sequences of each of the regions with significant matches (based on low e values over more than 20 nucleotides) were compared to the GenBank database using BLASTp, and those with a strong match to GroEL were considered to be potential pseudogenes. A similar approach was used for groES.
Structural analysis of GroEL proteins encoded by intact genes and pseudogenes
Structural models for intact GroEL (16SrII, 16SrIX) and pseudogene-predicted fragments from lettuce WB (16SrIII) were generated using AlphaFold 3 [40]. PDB files were downloaded, and structural modelling and alignments were performed with UCSF ChimeraX 1.10.1 [41].
Selection pressure analysis
To test for relaxed selection in fragmented groEL sequences, we performed comparative dN/dS analysis using RELAX v4.5 [42] via HyPhy v2.5. Intact groEL sequences (n=133) from diverse phytoplasma groups were extracted from GenBank genomes using tBLASTn. Fragmented groEL remnants from the six 16SrIII genomes that were found to contain groEL pseudogenes (Table 2) were identified using more relaxed criteria (e-value ≤10⁻⁵, length ≥100 bp) compared to their initial identifications. This was done to maximize fragment recovery for analysis of the evolution and decay of the GroEL-encoding region in these genomes and resulted in the identification of 13 groEL gene fragments in the 6 genomes.
Table 2. Amino acid lengths and genome coordinates of groEL pseudogenes and genes immediately upstream in 16SrII and 16SrIII.
| groEL (pseudo)gene | evbG orthologue | evbH orthologue | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Phytoplasma | Strain | 16SrIII-subgroup | bp* | AA* | Coordinates (contig:bases) | bp | AA | Coordinates (contig:bases) | Intergenic distance, bp† | bp | AA | Coordinates (contig:bases) |
| Italian clover phyllody | MA | 16SrIII-B | 153 | 50 | 33 : 3851–4003 | 1,728 | 576 | 33 : 1856–3586 | 266 | 1,782 | 593 | 33 : 78–1859 |
| Poinsettia branch-inducing | JR | 16SrIII-A | 186 | 62 | 171 : 1963–2148 | 1,703* | 566* | 5 : 13448–15150 | ND‡ | 1,782 | 593 | 5 : 11670–13451 |
| ‘Candidatus Phytoplasma pruni’ | PR2021 | 16SrIII-A | 186 | 62 | 686562–686747 | 1,728 | 576 | 684481–686211 | 352 | 1,782 | 593 | 682703–684484 |
| ‘Candidatus Phytoplasma pruni’ | CX | 16SrIII-A | 165 | 55 | 8 : 22632–22796 | 1,728 | 576 | 8 : 20474–22204 | 429 | 1,782 | 593 | 8 : 18696–20477 |
| ‘Candidatus Phytoplasma pruni’ | 2A1 | 16SrIII-A | 165 | 55 | 1 : 56157–56321 | 1,728 | 576 | 1 : 56749–58479 | 159 | 1,782 | 593 | 1 : 58476–60257 |
| Lettuce witches’ broom phytoplasma | LWB | 16SrIII-X | 787 | 180/87§ | 1 : 234271–235038 | 1,734 | 578 | 1 : 235221–236954 | 184 | 1,779 | 593 | 1 : 236954–238732 |
| Peanut witches' broom phytoplasma | PnWB | 16SrII-A | 1,638 | 546 | 9 : 28499–30136 | 1,731 | 577 | 9 : 26551–28284 | 216 | 1,842 | 613 | 9 : 24713–26554 |
*bp, base pairs; AA, amino acids.
†groEL-evbG intergenic distance in base pairs.
‡Minus strand – contig 5 length is 15,150 bp. Therefore, the junction of evbG and groEL pseudogene is disrupted, and intergenic distance cannot be calculated.
§Two polypeptides are annotated as groEL/cpn60 on this fragment, with frameshifts and stop codons in the sequence. The entire region is considered a pseudogene.
Sequences were classified based on length, reading frame integrity and presence of internal stop codons. Sequences maintaining minimal structural requirements (length ≥100 bp, ≤2 internal stop codons) were aligned at the amino acid level using MAFFT v7.475 (--auto option), followed by codon-aware back-translation. A maximum likelihood phylogenetic tree was constructed using IQ-TREE v2.0 (ModelFinder+1,000 ultrafast bootstrap replicates).
For RELAX analysis, fragmented sequences were designated as 'Test' branches and intact sequences as 'Reference' branches. The analysis estimates a relaxation parameter (k), where k<1 indicates relaxed selection, k=1 indicates unchanged selection, and k>1 indicates intensified selection. Statistical significance was assessed via a likelihood ratio test comparing alternative (k≠1) versus null (k=1) models.
Due to advanced pseudogenization (mean fragment length 204 bp vs 1,437 bp intact), only 1 of 13 fragmented sequences met the minimum requirements for codon-level analysis, limiting statistical power for detecting selection relaxation.
Examination of the gene neighbourhood of groEL in group 16SrII and 16SrIII phytoplasmas
The annotated genomes of ‘Ca. P. pruni’ strain CX (Ga0100078) and ‘Ca. P. aurantifolia’ strain PnWB (Ga0248296) at the Genomes Online Database (https://gold.jgi.doe.gov/) were used to examine the gene neighbourhood of the intact GroE system in PnWB compared to the putative pseudogene identified in strains CX and 2A1. Genes immediately downstream of the annotated groEL gene or gene fragment from each strain were downloaded and used to identify the corresponding genes in each of the group III phytoplasmas that were suspected to harbour groEL pseudogenes. The locations and annotations of the genes corresponding to the immediate gene neighbours of the GroE system in PnWB were noted in each strain, and intergenic distances were calculated. Both gene and predicted amino acid sequences of these genes were downloaded and used for sequence similarity determination.
The gene regions containing groEL genes or putative pseudogenes were selected from each of the 16SrIII genomes, and from related strains from groups 16SrII (PnWB strain NTU2011; NZ_AMWZ01000009.1) and 16SrIX (‘Ca. P. phoenicium’ strain SA213; NZ_JPSQ01000038.1). The genomic regions were annotated using Prokka v 1.14.6 [43] and aligned and visualized using clinker v0.0.31 [44]. A comparative pangenome analysis was also performed using Anvi’o v.8 [45], with functional annotation based on COG categories. The GroE cluster was examined across the pangenome to assess gene presence, absence and fragmentation patterns indicative of pseudogene formation.
Results and discussion
Genome sequencing of ‘Ca. P. pruni’ strains 2A1 and MYp-Canadensis S4
Lilac (Syringa sp.) infected with 16SrIII strain 2A1 was experimentally maintained in greenhouses in North Saanich, British Columbia, Canada. In total, 57,198 nanopore reads and 1.5M Illumina reads (host-depleted) were obtained from the infected lilac sample. The genome sequence of strain 2A1 was 625 kb in length (Table 1), with a G+C content of 27.32 mol%. The estimated coverage of the genome was ~600× (800× for nanopore and 364× for Illumina, considering read length and number). The genome consisted of two scaffolds with lengths of 336 and 289 kb. A total of 594 protein-coding genes were predicted in the genome, 437 of which had a function prediction. In addition, the genome contained two copies of 16S rRNA, as is typical for phytoplasmas [46]. Both genes were typed at the iPhyClassifier as 16SrIII-A (F=1.0), indicating a lack of the 16S rRNA gene heterogeneity that has been observed in some phytoplasmas in the 16SrIII group [47].
Milkweed (Asclepias syriaca) was observed at the Canadensis Botanical Garden with symptoms of chlorosis, stunting and phyllody (Fig. 1a). Symptomatic plants were confirmed to be infected by phytoplasma using qPCR targeting 16S rRNA genes. The 16S rRNA genes were amplified by PCR, sequenced and examined using RFLP analysis. This showed that strain MYp-Canadensis (S4) was typed as 16SrIII-F (F=1.0), again with no evidence of gene heterogeneity. This is consistent with previous RFLP typing results of milkweed yellows phytoplasma [18]. The geographic location of the MYp detected in this study is consistent with the original report of MYp in Tichbourne, Ontario, in the early 1990s [48], indicating that this phytoplasma has been circulating in Eastern Canada for over three decades.
A total of 2.8M Illumina reads and 31,281 nanopore reads (quality-filtered, host-depleted) were obtained from the antibody-enriched infected milkweed sample. The total length of the MYp-Canadensis genome was 694 kb, which is considerably longer than the 584 kb that was previously reported (Table 1, Fig. 1b). This provides a rough coverage estimate of 550× (500× for ONT; 632× for Illumina considering both length and read numbers). The genome was assembled into seven contigs with an N50 of 388 kb, which is also an improvement over the N50 of 8 kb in the previously reported MYp genome [18]. Annotation of the MYp-Canadensis genome using PGAP revealed the presence of 718 genes in total, including 678 coding sequences, 6 rRNA genes (2 each of 5S, 16S and 23S) and 24 pseudogenes. Both copies of the 16S rRNA-encoding genes were typed at the iPhyClassifier as 16SrIII-F, consistent with the PCR results and with the known classification of MYp as a 16SrIII-F phytoplasma [49]. A plasmid of 4.4 kb was predicted by plasmer. In accordance with this prediction, blast analysis of this contig showed strong similarity (93 and 88% sequence identities, e=0.0) to the annotated plasmids of ‘Ca. P. pruni’ strains PR2021 (pPR2021) and lettuce witches’ broom phytoplasma LWB (pLWB-01). Examination of the completeness of all the reported 16SrIII genomes from Table 2 using Busco revealed that the highest completeness score, 97.4%, was observed for the genomes PR2021, MYp-Canadensis, 2A1 and ChTDIII. In contrast, the previously reported MYp assembly had a completeness score of 94.0%, and the lowest score (87.3%) was observed for Vc33 (Table 1). In addition, examination of the newly generated genomes in this study using CheckM2 provided genome completeness of ~94% with <0.6% contamination for both genomes (Table S1). These values are consistent with high-quality, low-contamination assemblies.
Examination of phytoplasma genomes for GroE chaperonin system
In total, 65 unique taxonomic IDs corresponding to a wide variety of phytoplasmas were examined (Table S2). Phylogenetic analysis of the 16S rRNA genes from these phytoplasmas provided results that were consistent with previous 16S gene-based analysis [11,50], with three basal clades represented (Fig. 2). One major group consisted mostly of 16Sr groups I and XII, and this group was more closely related to the Acholeplasma taxa compared to the other phytoplasma strains. A second group consisted of a diverse range of phytoplasma taxa, with a complex branching pattern containing six clades representing at least ten ‘Ca. Phytoplasma’ species and 6 16Sr groups (IV, V, VII, VIII, XI and XIV). The third major clade consisted of two main branches, including the 16SrIII group (‘Ca. P. pruni’), and a second branch consisting primarily of group 16SrII strains, along with ‘Ca. P. melaleucae’ (16Sr XXV-A). The 16SrIII group was closely related to the 16SrII group, as reported previously [50].
Fig. 2. Phylogenetic tree (maximum likelihood; 100 bootstrap replicates) based on 16S rRNA-encoding gene sequences obtained from publicly available genome sequences. Branch colouring is consistent with Schwarz et al. [11], with blue branches indicating the 16SrIII taxa that lack the GroE system; in addition, these taxa are highlighted.
Of the 65 genomes examined, 59 contained an intact GroE system, with both groEL and groES present in each genome (Table S2). All genomes lacking the GroE system belonged exclusively to the 16SrIII group. In contrast, genomes with intact groEL/groES operons represented a broad taxonomic diversity, encompassing 31 phytoplasma species across 16 distinct 16Sr groups (Table S2). These results indicate that, among all high-quality phytoplasma genomes sequenced to date, ‘Ca. P. pruni’ (16SrIII) is the only lineage missing the GroE system. In all other phytoplasma groups, groEL and groES are consistently present and located adjacent to one another within their genomes. While it was previously noted that four phytoplasma genomes from 16SrIII lack a GroE system [18], this observation can now be extended to 12 genomes, 6 of which feature detectable groEL pseudogenes. Furthermore, while the GroE system was known to be well represented within phytoplasma groups other than 16SrIII [51,54], it was previously not known if 16SrIII is indeed the only exception. The results shown here provide strong evidence that the GroE system is widely distributed in phytoplasmas other than 16SrIII. Phylogenetic analysis of full-length groEL sequences representing all of the phylogenetic diversity that is currently present in public databases (NCBI) is shown in Fig. 3. This analysis demonstrates the very wide sequence divergence of this phylogenetic marker, even in strains that are relatively closely related, underscoring the utility of this marker for differentiation of phytoplasma strains outside of the 16SrIII group [54].
Fig. 3. Phylogenetic tree (maximum likelihood; 100 bootstraps) based on full-length groEL (cpn60) sequences obtained from genome sequences deposited in public databases.
Pseudogenization of groEL in 16SrIII phytoplasmas
tBLASTn analysis of the genomes of all group III phytoplasmas showed that, consistent with the initial report, many of the sequenced genomes from this group contained no coding sequences with any significant similarity to amino acid sequences of phytoplasma GroEL. However, 6 of the 12 genomes did contain nucleotide sequences encoding predicted amino acid sequences that were strikingly similar to GroEL from other phytoplasmas (Table 2). These amino acid sequences were short (50–180 residues) and could not encode a functional protein. One of these putative pseudogenes, encoded on the genome of ‘Ca. P. pruni’ strain CX (GCA_001277135.1), was annotated as a pseudogene (labelled ‘hypothetical protein’ by the Prokaryotic Genome Annotation Pipeline at GenBank) [33], while the others were identified by local custom blast databases.
A pangenome analysis representing all reported phytoplasma taxa was performed in Anvi’o to explore the distribution and evolutionary fate of groEL across group 16SrIII phytoplasmas as a supplementary approach (Fig. 4a). The circular representation highlights the core and accessory genomes, revealing a highly reduced shared gene repertoire and similar gene loss pattern among 16SrIII members. Within this context, the groEL cluster is located near the core boundary, but its fragmentation and partial or complete absence in several genomes indicate ongoing pseudogenization (Fig. 4b). Six genomes retained only truncated groEL-like sequences of 50–180 amino acids, consistent with previous blast-based detection of pseudogenes (Fig. 4b). The co-occurrence of these remnants within the same syntenic neighbourhood as intact groEL orthologues from 16SrII and 16SrIX phytoplasmas further supports a possible single ancestral loss event followed by progressive decay. Together, the Anvi’o pangenome and alignment analyses suggest that groEL degradation in 16SrIII phytoplasmas reflects lineage-specific genome reduction rather than multiple independent deletion events.
Fig. 4. Comparative genomic and phylogenetic analyses of phytoplasma groEL genes and pseudogene variants. (a) Pangenome matrix and phylogenomic tree of all phytoplasma genomes showing gene cluster distribution across lineages. The outer green ring represents core genes, while the orange-shaded clade highlights members of the 16SrIII group, which lack an intact GroE system. Associated bar plots indicate genomic features, again with orange shading indicating 16SrIII strains, including the total number of gene clusters, singletons, mean gene length, G+C content and total genome size. (b) Multiple sequence alignment of GroEL amino acid sequences showing conservation patterns across taxa, with the 16SrIII clade exhibiting high sequence fragmentation and divergence. (c) Detailed alignment of representative pseudogenized groEL sequences from selected 16SrIII phytoplasmas, illustrating frameshifts, internal stop codons and truncations compared with intact orthologues. A detailed alignment of the predicted amino acid sequences of the pseudogenes and the intact orthologues in the related strains peanut witches’ broom (16SrII) and ‘Ca. P. phoenicium’ (16SrIX) is shown in Fig. S1.
Alignment of these predicted amino acid sequences to the 546 amino acid sequence of GroEL from PnWB phytoplasma (16SrII, a taxon that is in the same phylogenetic clade as 16SrIII based on 16S rRNA gene sequences – Fig. 2) and ‘Ca. P. phoenicium’ (16SrIX, the taxon to which the putative pseudogene amino acid sequences had the most similarity) revealed that the gene fragments encoded amino acids near the carboxy terminus of the protein (Figs 4c and S1). Phylogenetic analysis of the 16SrIII phytoplasma strains based on the sequences of five taxonomic markers (secY, secA, nusA, tuf and rp) revealed that the four types of identified pseudogenes clustered consistently with the phylogenetic placement of the phytoplasmas containing them (Fig. 5). The putative pseudogenes encoding these amino acids are considered to be unitary pseudogenes, in that there is no evidence of gene duplication in the genome, and the loss of these genes is associated with a complete loss of function [55]. No evidence of nucleic acid sequences encoding amino acids with similarity to GroES was found in any of the genomes.
Fig. 5. Phylogenetic tree of ‘Ca. P. pruni’ (group 16SrIII) based on concatenated taxonomic markers, showing the taxa containing the three different types of pseudogenes. Genomes encoding the types of pseudogenes are indicated by asterisks: type 1–55 amino acids, *; type 2–62 amino acids, **; type 3–50 amino acids, ***; type 4–180 and 87 amino acids, ****.
Structural models were compared for the GroEL proteins from peanut witches’ broom phytoplasma strain NTU2011 (16SrII), ‘Candidatus Phytoplasma phoenicium’ (16SrIX) and the two predicted pseudogenes from lettuce witches’ broom phytoplasma (16SrIII, which had the longest predicted proteins of 180 and 87 amino acids). Substantial overlap of the predicted protein structures was observed towards the carboxy terminus of the intact proteins, consistent with the amino acid sequence alignment (Figs 6 and S1). ORF1 (180 amino acids) retained partial apical, intermediate and equatorial domains, while the smaller ORF2 (87 amino acids) retained only a partial equatorial domain (Fig. 6). Neither of these protein fragments is likely sufficient to support multimerization based on models established from crystal structures of Mycobacterium tuberculosis Cpn60.2 [56]; however, no crystal structures have been reported for phytoplasma GroEL proteins.
Fig. 6. Structural modelling of GroEL proteins from 16SrII, 16SrIX and the predicted proteins from putative GroEL pseudogenes of lettuce witches’ broom phytoplasma. ORF1, 180 amino acids; ORF2, 87 amino acids. Animations of these models are provided as supplementary files.
To test whether relaxed purifying selection preceded groEL degradation, we performed comparative dN/dS analysis using the RELAX framework [42]. We compared 133 intact groEL orthologues from diverse phytoplasma groups against 13 fragmented groEL remnants from 'Ca. P. pruni' (16SrIII).
Structural analysis revealed severe degradation in 16SrIII fragments (mean length 204 bp, 95% CI: 118–289) compared to intact orthologues (mean length 1,437 bp, 95% CI: 1,362–1,513), representing an 85.8% size reduction (P=5.65×10⁻¹⁸, Table 3). Additionally, 31% of fragments contained internal stop codons, compared to 0% in intact sequences.
Table 3. Structural and molecular evidence for groEL pseudogenization in 16SrIII.
| Parameter | Intact (n=133) | Fragmented (n=13) | P-value |
|---|---|---|---|
| Mean length, bp (95% CI) | 1,437 (1,362–1,513) | 204 (118–289) | <10⁻¹⁷ |
| Sequences with internal stops (%) | 0 (0%) | 4 (31%) | <0.001 |
| Usable for dN/dS analysis (%) | 132 (99%) | 1 (8%) | <10⁻¹⁵ |
| RELAX k parameter | Reference | 0.92* | 1.0† |
*Point estimate; CI not available due to boundary conditions.
†Likelihood ratio test; underpowered due to class imbalance.
The advanced state of pseudogenization constrained molecular evolution analysis, as only 1 of 13 fragments retained sufficient structural integrity for codon-level alignment and dN/dS calculation. While the RELAX relaxation parameter (k=0.92) suggested a trend towards relaxed selection in fragmented sequences, the analysis was underpowered (P=1.0). Notably, this severe structural degradation indicates that groEL pseudogenization in 16SrIII is an ancient event, with selection fully relaxed over an extended but undetermined evolutionary period. The extent of degradation precludes robust molecular clock analysis and is consistent with irreversible gene loss rather than recent functional decay.
Conserved synteny of the GroE system in 16SrII and pseudogenes of 16SrIII
To determine if the pseudogenes were orthologous by synteny, rather than simply a case of coincidental similarity [55], the gene neighbourhood of the intact GroE system in two close phylogenetic neighbours of 16SrIII, ‘Ca. P. aurantifolia’ (PnWB; 16SrII) and ‘Ca. P. phoenicium’ (SA213; 16SrIX), was examined and compared to the locations of the putative pseudogenes.
The GroE system (groEL/groES) in PnWB is found on contig 9 (reverse strand) and is immediately adjacent to two genes that are both annotated as ‘multidrug resistance ABC transporter ATP-binding and permease protein’ (Fig. 7). These genes are identified as evbH (contig 9 : 24713–26554, reverse strand) and evbG (contig 9 : 26551–28284, reverse strand). Considering the transcriptional orientation, the gene order in this part of the PnWB genome is groEL-groES-evbG-evbH.
Fig. 7. Gene locations of the predicted pseudogenes and the adjacent genes in 16SrIII and related strains. The location of the gene cluster in the genome of strain 2A1 is indicated by a line. Genes annotated by Prokka as groEL (cpn60) are indicated by a star. Groups of genes sharing high similarity scores are indicated by colouring. Amino acid similarity scores are indicated between adjacent strains that are connected by coloured blocks, with darker colours indicating higher scores. The full matrix of amino acid similarity scores for all gene combinations is shown in Table S3.
In the 16SrIII phytoplasmas that contain putative groEL pseudogenes, there are two genes located immediately next to each pseudogene (Fig. 6). These protein-coding genes are annotated variously as ‘multidrug resistance ABC transporter ATP-binding and permease protein’ (strain PR2021), or ‘ABC transporter ATP-binding protein’ (strains 2A1, CX and MA-ICP). These genes encode proteins that are similar in size to PnWB evbG and evbH – 576 out of 577 amino acids for evbG and 593 out of 613 amino acids for evbH (Table 2). In each 16SrIII genome, the putative pseudogene is immediately adjacent (separated by 159–429 nucleotides) to a gene that is similar in size to evbG of PnWB. This conserved proximity suggests that the putative pseudogene in 16SrIII is found in a genomic context that is similar to that of the intact groEL gene in PnWB (Table 2; Fig. 7).
To determine if these similar genes are likely orthologues, we compared the predicted amino acid sequence similarity of these genes in PnWB and the 16SrIII strains. Within the 16SrIII genomes, the two genes immediately downstream of the putative groEL pseudogenes had amino acid similarity scores (by clustalw) of 94–100%, suggesting that they are orthologous genes within these strains (Fig. 5, Table S3). The amino acid similarity scores of these 16SrIII genes to the PnWB evbG and evbH were 54 and 55% (Fig. 6, Table S3). These scores are similar to the amino acid similarities of the orthologous taxonomic markers secY, secA, nusA and tuf in the 16SrII and 16SrIII genomes, which ranged from 38 to 56% (Table S4). In contrast, when all other genes in the PnWB chromosome with annotations containing the phrase ‘ABC transporter ATP-binding’ were compared to the genes immediately upstream of the putative groEL pseudogenes in 16SrIII, the amino acid similarity scores were much lower – 15–20% (data not shown). These amino acid sequence similarity comparisons suggest that the two genes encoding ABC transporters in 16SrIII are indeed orthologues of evbG and evbH in PnWB, confirming the syntenic relationship of groEL genes and pseudogenes in these closely related phytoplasmas.
We also determined the syntenic relationships of annotated genes across a wider genomic window (Fig. S3). This analysis confirmed the strong similarity of genome structures in the regions containing the groEL pseudogene and the evbG/evbH putative orthologues, and none contained any evidence of a groES gene remnant. To provide an alternative visualization of the genomic regions, we examined the automated annotations at JGI-GOLD. Only two of the 16SrIII strains are publicly available as annotations at JGI-GOLD, and the annotations in this area of each genome were compared to the closest phylogenetic relative, PnWB NTU2011. The genomic region upstream of the groEL pseudogenes in 16SrIII strain CX contained no evidence of the shorter groES genes and displayed a dearth of annotated genes in general compared to the corresponding gene region in PnWB (Fig. S2). Only a few short hypothetical proteins were annotated in the strain CX genome, on the opposite strand of the groEL pseudogenes and evbG/evbH (Fig. S2). The reason for this genomic ‘desert’ in strain CX is unclear, but this area seems to have been subjected to an ancient pseudogenization that resulted in the loss of the GroE system, with only a small vestige of the groEL gene remaining in this region in certain extant strains. This was not the case for the 16SrIII strain 2A1, but there was no evidence of a gene with any similarity to groES in the area downstream of the groEL pseudogene (Fig. S2).
No evidence of recent groEL re-acquisition in non-fragmented 16SrIII genomes
Due to the clear cases of groEL acquisition by HGT that were previously documented in Mollicutes [11,12], we examined 16SrIII genomes for the presence of any groEL genes, even those more distantly related to phytoplasmas. No evidence of intact genes with any similarity to groEL was observed in any of the genomes. Many of the previously reported 16SrIII genomes are highly fragmented (more than 150 contigs) based on short-read but deep and accurate sequencing chemistry (Illumina). In addition, the assembly process commonly involves a mapping step to exclude non-phytoplasma DNA because of the metagenomic nature of phytoplasma DNA samples. To address this possible source of error, we prepared an MYp assembly by only removing host reads (chromosomal, mitochondrial and chloroplast), leaving all non-host reads (mostly bacterial, but possibly also including other host-associated micro-organisms) available for assembly. Removal of host reads left 21,754,990 out of 57,879,811 Illumina reads (37.6%), compared to 12,482,861 reads (21.6%) that remained when mapped to the previously reported MYp genome sequence. This suggests that many other micro-organisms were associated with the milkweed leaf sample. When these host-depleted, assembled reads were queried for the presence of groEL-like sequences, 9 sequences were retrieved, all from bacteria (Table S5). Examination of the assembled contigs containing these groEL sequences (the chromosomal context) provided taxonomic identifications consistent with the groEL sequences in all cases (Table S5). These results exclude the possibility of a groEL gene being acquired by HGT, as its sequence would then be located within a context of phytoplasma-like DNA sequences.
Conclusions and implications
Here, we have provided two additional high-quality, non-fragmented assemblies of 16SrIII phytoplasmas, and we observed no evidence of the presence of a groEL gene encoding a protein that could be functional. In addition, no evidence of recent re-acquisition of groEL was observed in the genomes reported here or in previously published assemblies that are less fragmented. All other phytoplasma genomes examined, representing a very wide taxonomic diversity of these micro-organisms, possess genes encoding evidently full-length GroES and GroEL proteins. Therefore, we conclude that 16SrIII genomes are unique among phytoplasmas in that they contain no functional GroE system.
Given that all bacterial taxa except most of the Mollicutes possess a functional GroE system, this is thought to be the ancestral state for bacterial taxa. Among Mollicutes, GroE is present only in select groups, which include the basal clade Acholeplasmataceae. Through genome sequencing and analysis of previously sequenced genomes, we have demonstrated that group 16SrIII phytoplasmas have lost the ancestral GroE system, which is retained in all other taxa of phytoplasmas. No evidence of the presence of groEL/groES genes was observed, indicating that these bacteria, like most other Mollicutes, have not re-acquired the functionality of GroE. Since groEL is absent in an obviously pathogenic group of phytoplasma, it seems unlikely that the protein is involved in pathogenesis as has been speculated from observations in other Mollicutes [12], at least for the phytoplasmas within group 16SrIII. While GroEL may play a role in pathogenicity in other phytoplasmas, for this group, the evidence presented indicates that the GroE system is dispensable for pathogenicity. These observations suggest that the protein most likely retains a canonical role in the folding of host cell proteins. Those Mollicutes that have lost the ancestral genes during genome reduction seem to have crossed the low evolutionary barrier identified by Schwarz et al. [11] and adapted their client proteins to be able to fold in the absence of this system.
Acknowledgements
We are grateful to Matthew Osborne, Anna Sierra Heffernan-Wilker and Heather Kharouba for providing samples of infected milkweed. We also thank Jennifer Town for providing the basal code for genome analysis and assembly. We acknowledge the contributions of Muhammad Asim and Jiaxu Wu to the selection pressure analysis and structural modelling. T.A.P. and E.P.-L. contributions are part of the LeafHope project supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) through the Alliance-SARI Program (Grant ALLRP 588519-23).
Abbreviations
- HGT
horizontal gene transfer
- iTOL
Interactive Tree of Life
Footnotes
Funding: This research was funded by Canadian Food Inspection Agency grant number N000178. No one other than the authors had any role in the study design, the preparation of the manuscript or the decision to publish.
Author contributions: Conceptualization: T.J.D., E.P.-L. and C.H.; methodology: C.H.; software: K.M., T.A.P. and T.J.D.; formal analysis: T.J.D. and T.A.P.; investigation: T.J.D., C.H. and T.A.P.; resources: T.J.D., H.B. and D.S.; data curation: T.J.D. and K.M.; writing – original draft preparation: T.J.D.; writing – review and editing: T.J.D., T.A.P., E.P.-L., C.H., D.S. and H.B.; visualization: T.J.D., E.P.-L. and C.H.; supervision: T.J.D. and H.B.; project administration: T.J.D. and H.B.; funding acquisition: T.J.D. and H.B. All authors have read and agreed to the published version of the manuscript.
Ethical statement: Not applicable
Accession No: Whole genome shotgun data have been deposited to NCBI under BioProject PRJNA958240. The assembly for ‘Ca. P. pruni’ strain 2A1 is deposited under accession number GCA_033391615.1, and for ‘Ca. P. pruni’ MYp-CanS4 is GCA_050286905.1. Sequencing read files are deposited to SRA under accession numbers SRS17436226 (2A1 – corresponding runs are SRR24310308 and SRR24310309) and SRS24917142 (MYp-CanS4 – corresponding runs are SRR33405266 and SRR33405267). The code used for genome assembly and analysis is provided at https://github.com/kevmu/milkweed_phytoplasma_genome.git.
Contributor Information
Thierry Alexandre Pellegrinetti, Email: thierry-alexandre.pellegrinetti.1@ulaval.ca.
Christine Hammond, Email: christine.hammond@agr.gc.ca.
Edel Pérez-López, Email: edel.perez-lopez@fsaa.ulaval.ca.
Kevin Muirhead, Email: muirheadkevins@gmail.com.
Harvinder Bennypaul, Email: BennypaHarvinder.Bennypaul@inspection.gc.ca.
Daniel Sanderson, Email: daniel.sanderson@inspection.gc.ca.
Tim J. Dumonceaux, Email: tim.dumonceaux@agr.gc.ca.
References
- 1.Stülke J, Eilers H, Schmidl SR. In: Encyclopedia of Microbiology. Third Edition. Schaechter M, editor. Oxford: Academic Press; 2009. Mycoplasma and Spiroplasma; pp. 208–219. [Google Scholar]
- 2.Gasparich GE. Spiroplasmas and Phytoplasmas: microbes associated with plant hosts. Biologicals. 2010;38:193–203. doi: 10.1016/j.biologicals.2009.11.007. [DOI] [PubMed] [Google Scholar]
- 3.Kirdat K, Tiwarekar B, Yadav A. From sequences to species: charting the phytoplasma classification and taxonomy in the era of taxogenomics. Front Microbiol. 2023 doi: 10.3389/fmicb.2023.1123783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.You Y, Xiao J, Chen J, Li Y, Li R, et al. Integrated information for pathogenicity and treatment of Spiroplasma. Curr Microbiol. 2024;81 doi: 10.1007/s00284-024-03730-9. [DOI] [PubMed] [Google Scholar]
- 5.Fenta MD, Bazezew M, Molla W, Kinde MZ, Mengistu BA, et al. A systematic review and meta-analysis of contagious bovine pleuropneumonia in ethiopian cattle. Vet Anim Sci. 2024 doi: 10.1016/j.vas.2024.100410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Fookes MC, Hadfield J, Harris S, Parmar S, Unemo M, et al. Mycoplasma genitalium: whole genome sequence analysis, recombination and population structure. BMC Genomics. 2017;18:993. doi: 10.1186/s12864-017-4399-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Citti C, Baranowski E, Dordet-Frisoni E, Faucher M, Nouvel LX. Genomic islands in Mycoplasmas. Genes. 2020;11:1–16. doi: 10.3390/genes11080836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bové JM. Molecular features of mollicutes. Clin Infect Dis. 1993;17 Suppl 1:S10–31. doi: 10.1093/clinids/17.supplement_1.s10. [DOI] [PubMed] [Google Scholar]
- 9.Lund PA. Multiple chaperonins in bacteria--why so many? FEMS Microbiol Rev. 2009;33:785–800. doi: 10.1111/j.1574-6976.2009.00178.x. [DOI] [PubMed] [Google Scholar]
- 10.Hemmingsen SM, Woolford C, van der Vies SM, Tilly K, Dennis DT, et al. Homologous plant and bacterial proteins chaperone oligomeric protein assembly. Nature. 1988;333:330–334. doi: 10.1038/333330a0. [DOI] [PubMed] [Google Scholar]
- 11.Schwarz D, Adato O, Horovitz A, Unger R. Comparative genomic analysis of mollicutes with and without a chaperonin system. PLoS One. 2018;13:e0192619. doi: 10.1371/journal.pone.0192619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Clark GW, Tillier ERM. Loss and gain of GroEL in the Mollicutes. Biochem Cell Biol. 2010;88:185–194. doi: 10.1139/O09-157. [DOI] [PubMed] [Google Scholar]
- 13.Henderson B, Fares MA, Lund PA. Chaperonin 60: a paradoxical, evolutionarily conserved protein family with multiple moonlighting functions. Biol Rev Camb Philos Soc. 2013;88:955–987. doi: 10.1111/brv.12037. [DOI] [PubMed] [Google Scholar]
- 14.Takenaka R, Yokota K, Ayada K, Mizuno M, Zhao Y, et al. Helicobacter pylori heat-shock protein 60 induces inflammatory responses through the toll-like receptor-triggered pathway in cultured human gastric epithelial cells. Microbiology. 2004;150:3913–3922. doi: 10.1099/mic.0.27527-0. [DOI] [PubMed] [Google Scholar]
- 15.Wuppermann FN, Mölleken K, Julien M, Jantos CA, Hegemann JH. Chlamydia pneumoniae groel1 protein is cell surface associated and required for infection of hep-2 cells. J Bacteriol. 2008;190:3757–3767. doi: 10.1128/jb.01638-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hickey TBM, Thorson LM, Speert DP, Daffé M, Stokes RW. Mycobacterium tuberculosis Cpn60.2 and DnaK are located on the bacterial surface, where Cpn60.2 facilitates efficient bacterial association with macrophages. Infect Immun. 2009;77:3389–3401. doi: 10.1128/IAI.00143-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Bertaccini A. Plants and Phytoplasmas: when bacteria modify plants. Plants. 2022;11:1425. doi: 10.3390/plants11111425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Saccardo F, Martini M, Palmano S, Ermacora P, Scortichini M, et al. Genome drafts of four phytoplasma strains of the ribosomal group 16SrIII. Microbiology. 2012;158:2805–2814. doi: 10.1099/mic.0.061432-0. [DOI] [PubMed] [Google Scholar]
- 19.Nijo T, Iwabuchi N, Tokuda R, Suzuki T, Matsumoto O, et al. Enrichment of phytoplasma genome DNA through a methyl-CpG binding domain-mediated method for efficient genome sequencing. J Gen Plant Pathol. 2021;87:154–163. doi: 10.1007/s10327-021-00993-z. [DOI] [Google Scholar]
- 20.Bennypaul H, Sanderson D, Donaghy P, Abdullahi I. Development of a real-time PCR assay for the detection and identification of Rubus stunt Phytoplasma in Rubus spp. Plant Dis. 2023;107:2296–2306. doi: 10.1094/PDIS-09-22-2193-RE. [DOI] [PubMed] [Google Scholar]
- 21.Gundersen DE, Lee IM. Ultrasensitive detection of Phytoplasmas by nested-PCR assays using two universal primer pairs. Phytopathol Mediterr. 1996;35:144–151. doi: 10.2307/42685262. [DOI] [Google Scholar]
- 22.Smart CD, Schneider B, Blomquist CL, Guerra LJ, Harrison NA, et al. Phytoplasma-specific PCR primers based on sequences of the 16S-23S rRNA spacer region. Appl Environ Microbiol. 1996;62:2988–2993. doi: 10.1128/aem.62.8.2988-2993.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Zhao Y, Wei W, Lee IM, Shao J, Suo X, et al. The iphyclassifier, an interactive online tool for phytoplasma classification and taxonomic assignment. Methods Mol Biol. 2013;938:329–338. doi: 10.1007/978-1-62703-089-2_28. [DOI] [PubMed] [Google Scholar]
- 24.Town JR, Wist T, Perez-Lopez E, Olivier CY, Dumonceaux TJ. Genome sequence of a plant-pathogenic bacterium, “Candidatus Phytoplasma asteris” strain TW1. Microbiol Resour Announc. 2018;7 doi: 10.1128/MRA.01109-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–2120. doi: 10.1093/bioinformatics/btu170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods . 2012;9:357–359. doi: 10.1038/nmeth.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Li H, Durbin R. Fast and accurate long-read alignment with Burrows–Wheeler transform. Bioinformatics. 2010;26:589–595. doi: 10.1093/bioinformatics/btp698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wick RR, Judd LM, Gorrie CL, Holt KE. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol. 2017;13:e1005595. doi: 10.1371/journal.pcbi.1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zhu Q, Gao S, Xiao B, He Z, Hu S. Plasmer: an accurate and sensitive bacterial plasmid prediction tool based on machine learning of shared k-mers and genomic features. Microbiol Spectr. 2023;11:e04645–22. doi: 10.1128/spectrum.04645-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Manni M, Berkeley MR, Seppey M, Simão FA, Zdobnov EM. BUSCO update: novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes. Mol Biol Evol. 2021;38:4647–4654. doi: 10.1093/molbev/msab199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chklovski A, Parks DH, Woodcroft BJ, Tyson GW. CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning. Nat Methods. 2023;20:1203–1212. doi: 10.1038/s41592-023-01940-w. [DOI] [PubMed] [Google Scholar]
- 32.Schwengers O, Jelonek L, Dieckmann MA, Beyvers S, Blom J, et al. Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification. Microb Genom. 2021;7:000685. doi: 10.1099/mgen.0.000685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, et al. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res. 2016;44:6614–6624. doi: 10.1093/nar/gkw569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rotmistrovsky K, Agarwala R. 2011. BMTagger: best match tagger for removing human reads from metagenomics datasets.
- 35.Li H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics. 2018;34:3094–3100. doi: 10.1093/bioinformatics/bty191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Fernández FD, Guzmán FA, Conci LR. Draft genome sequence of Cicuta witches’ broom phytoplasma, subgroup 16SrIII-J: a subgroup with phytopathological relevance in South America. Trop Plant Pathol. 2024;49:558–565. doi: 10.1007/s40858-024-00658-0. [DOI] [Google Scholar]
- 37.Pusz-Bochenska K, Perez-Lopez E, Wist TJ, Bennypaul H, Sanderson D, et al. Multilocus sequence typing of diverse Phytoplasmas using hybridization probe-based sequence capture provides high resolution strain differentiation. Front Microbiol. 2022;13:959562. doi: 10.3389/fmicb.2022.959562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol. 2020;37:1530–1534. doi: 10.1093/molbev/msaa015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Letunic I, Bork P. Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021;49:W293–W296. doi: 10.1093/nar/gkab301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Abramson J, Adler J, Dunger J, Evans R, Green T, et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature. 2024;630:493–500. doi: 10.1038/s41586-024-07487-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Meng EC, Goddard TD, Pettersen EF, Couch GS, Pearson ZJ, et al. UCSF ChimeraX: tools for structure building and analysis. Protein Sci. 2023;32:e4792. doi: 10.1002/pro.4792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Wertheim JO, Murrell B, Smith MD, Kosakovsky Pond SL, Scheffler K. RELAX: detecting relaxed selection in a phylogenetic framework. Mol Biol Evol. 2015;32:820–832. doi: 10.1093/molbev/msu400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
- 44.Gilchrist CLM, Chooi Y-H. clinker & clustermap.js: automatic generation of gene cluster comparison figures. Bioinformatics. 2021;37:2473–2475. doi: 10.1093/bioinformatics/btab007. [DOI] [PubMed] [Google Scholar]
- 45.Eren AM, Esen ÖC, Quince C, Vineis JH, Morrison HG, et al. Anvi’o: an advanced analysis and visualization platform for 'omics data. PeerJ. 2015;3:e1319. doi: 10.7717/peerj.1319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wei W, Zhao Y. Phytoplasma taxonomy: nomenclature, classification, and identification. Biology. 2022;11:1119. doi: 10.3390/biology11081119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Jomantiene R, Davis RE, Valiunas D, Alminaite A. New group 16SrIII phytoplasma lineages in lithuania exhibit rRNA interoperon sequence heterogeneity. Eur J Plant Pathol. 2002;108:507–517. doi: 10.1023/A:1019982418063. [DOI] [Google Scholar]
- 48.Griffiths HM, Gundersen DE, Sinclair WA, Lee IM, Davis RE. Mycoplasmalike organisms from milkweed, goldenrod, and spirea represent two new 16S rRNA subgroups and three new strain subclusters related to peach X-disease MLOs. Can J Plant Pathol. 1994;16:255–260. doi: 10.1080/07060669409500728. [DOI] [Google Scholar]
- 49.Valiunas D, Samuitiene M, Rasomavicius V, Navalinskiene M, Staniulis J, et al. Subgroup 16srIII-F phytoplasma strains in an invasive plant, heracleum sosnowskyi, and an ornamental, Dictamnus albus. J Plant Pathol. 2007;89:137–140. [Google Scholar]
- 50.Chung W-C, Chen L-L, Lo W-S, Lin C-P, Kuo C-H. Comparative analysis of the peanut witches’-broom phytoplasma genome reveals horizontal transfer of potential mobile units and effectors. PLoS One. 2013;8:e62770. doi: 10.1371/journal.pone.0062770. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Mitrović J, Smiljković M, Seemüller E, Reinhardt R, Hüttel B, et al. Differentiation of “Candidatus Phytoplasma cynodontis” Based on 16S rRNA and groEL genes and identification of a new subgroup, 16SrXIV-C. Plant Dis . 2015;99:1578–1583. doi: 10.1094/PDIS-01-15-0061-RE. [DOI] [PubMed] [Google Scholar]
- 52.Contaldo N, Mejia JF, Paltrinieri S, Calari A, Bertaccini A. Identification and GroEl gene characterization of green petal phytoplasma infecting strawberry in Italy. Phyt Moll. 2012;2:59. doi: 10.5958/j.2249-4669.2.2.009. [DOI] [Google Scholar]
- 53.Mitrović J, Kakizawa S, Duduk B, Oshima K, Namba S, et al. The groEL gene as an additional marker for finer differentiation of ‘Candidatus Phytoplasma asteris’-related strains. Ann Appl Biol. 2011;159:41–48. doi: 10.1111/j.1744-7348.2011.00472.x. [DOI] [Google Scholar]
- 54.Muirhead K, Pérez-López E, Bahder BW, Hill JE, Dumonceaux T. The CpnClassiPhyR is a resource for cpn60 universal target-based classification of Phytoplasmas. Plant Dis . 2019;103:2494–2497. doi: 10.1094/PDIS-03-19-0454-A. [DOI] [PubMed] [Google Scholar]
- 55.Dainat J, Pontarotti P. Methods to identify and study the evolution of pseudogenes using a phylogenetic approach. Methods Mol Biol. 2021;2324:21–34. doi: 10.1007/978-1-0716-1503-4_2. [DOI] [PubMed] [Google Scholar]
- 56.Qamra R, Mande SC. Crystal structure of the 65-kilodalton heat shock protein, chaperonin 60.2, of Mycobacterium tuberculosis. J Bacteriol. 2004;186:8105–8113. doi: 10.1128/JB.186.23.8105-8113.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Zamorano A, Fiore N. Draft genome sequence of 16SrIII-J phytoplasma, a plant pathogenic bacterium with a broad spectrum of hosts. Genome Announc. 2016;4:e00602-16. doi: 10.1128/genomeA.00602-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Fernández FD, Zübert C, Huettel B, Kube M, Conci LR. Draft genome sequence of “Candidatus Phytoplasma pruni” (X-Disease Group, Subgroup 16SrIII-B) Strain ChTDIII from Argentina. Microbiol Resour Announc. 2020;9:00792–20. doi: 10.1128/MRA.00792-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Pei S-C, Chen A-P, Chou S-J, Hung T-H, Kuo C-H. Complete genome sequence of “ Candidatus Phytoplasma pruni” PR2021, an uncultivated bacterium associated with poinsettia (Euphorbia pulcherrima) Microbiol Resour Announc. 2023;12:e00443–23. doi: 10.1128/MRA.00443-23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Lee IM, Shao J, Bottner-Parker KD, Gundersen-Rindal DE, Zhao Y, et al. Draft genome sequence of “Candidatus Phytoplasma pruni” strain CX, a plant-pathogenic bacterium. Genome Announc. 2015;3 doi: 10.1128/genomeA.01117-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Fernandez FD, Bongiorno VA, Alessio FI, Sananez I, Macchiaroli N, et al. Complete genome sequence of Lettuce Witches’-Broom phytoplasma isolate LWB: a 16SrIII-X subgroup with expanding relevance in South America. J Plant Pathol . 2026;108:801–805. doi: 10.1007/s42161-025-02095-7. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Citations
- Rotmistrovsky K, Agarwala R. 2011. BMTagger: best match tagger for removing human reads from metagenomics datasets.







