Abstract

Pantoea agglomerans is one of four Pantoea species reported in the USA to cause bacterial rot of onion bulbs. However, not all P. agglomerans strains are pathogenic to onion. We characterized onion-associated strains of P. agglomerans to elucidate the genetic and genomic signatures of onion-pathogenic P. agglomerans. We collected >300 P. agglomerans strains associated with symptomatic onion plants and bulbs from public culture collections, research laboratories, and a multi-year survey in 11 states in the USA. Combining the 87 genome assemblies with 100 high-quality, public P. agglomerans genome assemblies we identified two well-supported P. agglomerans phylogroups. Strains causing severe symptoms on onion were only identified in Phylogroup II and encoded the HiVir pantaphos biosynthetic cluster, supporting the role of HiVir as a pathogenicity factor. The P. agglomerans HiVir cluster was encoded in two distinct plasmid contexts: (i) as an accessory gene cluster on a conserved P. agglomerans plasmid (pAggl), or (ii) on a mosaic cluster of plasmids common among onion strains (pOnion). Analysis of closed genomes revealed that the pOnion plasmids harbored alt genes conferring tolerance to Allium thiosulfinate defensive chemistry and many harbored cop genes conferring resistance to copper. We demonstrated that the pOnion plasmid pCB1C can act as a natively mobilizable pathogenicity plasmid that transforms P. agglomerans Phylogroup I strains, including environmental strains, into virulent pathogens of onion. This work indicates a central role for plasmids and plasmid ecology in mediating P. agglomerans interactions with onion plants, with potential implications for onion bacterial disease management.

Introduction

Strains of P. agglomerans (Pagg) are ubiquitous and are frequently isolated from animals, water, and soil. Pagg is occasionally isolated as an opportunistic wound pathogen in humans [1, 2], including the type strain LMG 1286T (DSM 3493T) recovered from a human knee laceration. [3]. Pagg strains are common endophytes and epiphytes of numerous plant species [4–8]. In the phyllosphere, some Pagg strains have been studied for biocontrol purposes [9–11] and some rhizosphere strains can promote plant growth [12, 13].

Pagg strains can also cause disease in economically important crop hosts [14–20]. Strains of Pantoea ananatis (Pana), Pantoea allii (Pall), Pantoea stewartii (Psi), and Pagg have been reported to cause onion center rot [14, 21–28]. Onion center rot is characterized by leaf and scale necrosis and water-soaked, necrotic lesions in onion bulbs [14, 25]. Infections are typically initiated through wounds or thrips feeding [14, 25, 29, 30]. Foliar symptoms may be evident in the field while bulb decay may develop both pre and post-harvest. [31, 32]. Efforts to manage bacterial diseases of onions integrate cultural, chemical, and biological control strategies [33, 34]. Copper-based bactericides have been assessed for management of onion center rot [34, 35]. However, copper tolerant Pantoea onion isolates have been previously identified in the field [36].

Previous work with onion-pathogenic Pana strains identified the HiVir (High Virulence) and alt (allicin tolerance) gene clusters as associated with onion pathogenicity and virulence [37–40]. The HiVir biosynthetic gene cluster (BGC) [38] encodes the biosynthetic pathway for the phosphonate phytotoxin pantaphos which induces necrosis in onion tissues [41]. The alt gene cluster confers increased tolerance to thiosulfinates, antimicrobial compounds produced by Allium spp. after tissue damage [42]. Based on public draft genome assemblies, some Pagg strains carry similar onion virulence gene clusters [40, 42, 43].

We conducted an extensive examination of Pagg strains to elucidate the genetic and genomic characteristics of onion-pathogenic strains. Over 300 Pagg strains were collected from public bacterial culture collections and research laboratories and from symptomatic onions collected during an extensive field survey spanning 11 states in the U.S.A. over two years. We generated closed and draft genome assemblies for 87 Pagg strains and conducted phylogenetic and comparative genomic analysis of these new assemblies combined with 100 high-quality public genome assemblies. We identified two well-supported and well-represented Pagg phylogroups. Strains causing onion necrosis harbored a HiVir gene cluster and were exclusively found in Phylogroup II, highlighting both the role of HiVir as a Pagg onion pathogenicity factor and its biased distribution. The Pagg HiVir BGC was found to be plasmid-borne with ~76% average nucleotide identity with the Pana HiVir BGC. The Pagg HiVir cluster was either encoded on a conserved Pagg plasmid (pAggl) or encoded on a mosaic cluster of plasmids prevalent among onion isolates (pOnion). The alt and cop genes for copper resistance were also encoded on pOnion plasmids. The pOnion plasmid pCB1C, encoding HiVir, alt, and a conjugative type IV secretion system (T4SS), could act as a mobilizable pathogenicity plasmid, transforming Pagg Phylogroup I strains into virulent onion pathogens.

Materials and methods

Detailed methods are provided in Document S1.

Isolation and identification of Pagg isolates

Pagg isolates were recovered from symptomatic onion plants and bulbs in a national onion disease survey in 2020 and 2021 in 11 onion-growing states (CA, CO, GA, ID, NM, NY, OR, PA, TX, UT, and WA). Isolates were recovered on NA or OEM [44] agar medium and re-streaked to obtain pure cultures. Genus and species were determined using SILVA ACT (https://www.arb-silva.de/aligner/) analysis of 16S rRNA gene PCR amplicon sequences and Pantoea species-specific PCR assays [45, 46] (Table S1). In addition to 382 Pantoea survey isolates, 47 isolates were donated by Dr. Steve Beer (Cornell University), and 73 isolates were provided by co-authors of this study (Table S2).

Bacterial culturing

Pagg and Escherichia coli strains were cultured routinely in LB broth or LB agar medium at temperatures of 28°C and 37°C, respectively. Antibiotics were added at the following final concentrations: gentamicin (Gm) 10 μg/ml, kanamycin (Kan) 50 μg/ml, streptomycin (Sm) 100 μg/ml, and rifampicin (Rp) 50 μg/ml.

Whole genome sequencing, assembly, annotation, and availability

High molecular weight DNA was purified using commercial kits or phenol: chloroform: isoamyl alcohol extraction and ethanol precipitation. Illumina short read sequencing was used to generate draft genome assemblies (Table S2) and PacBio or ONT long-read sequencing were combined with Illumina short read sequencing to generate closed genome assemblies using Trycycler (https://github.com/rrwick/Trycycler). Additional details for genomic DNA purification, sequencing, genome assembly, and annotation are provided in Document S1. Genome assemblies and reads have been deposited with NCBI GenBank under BioProject numbers PRJNA1069770 and PRJNA642846.

Comparative genomics and phylogenetics

Eighty-one genomes assembled as part of this study were combined with 100 high-quality genome assemblies from NCBI Genbank (Table S3). Genomes were re-annotated with Prokka [47] for pangenome analysis with Roary [48] to identify core and accessory genes (Dataset S1). Concatenated core gene sequences were aligned with MAFFT [49] to generate a maximum likelihood phylogenetic tree with FastTree 2 [50]. FastANI [51] was used to compare Average Nucleotide Identity. Partial gyrB sequences and copC sequences either extracted from genome assemblies or from PCR sequencing were aligned with MAFFT and analyzed with the PhyML 3.0 [52] tool. Phylogenetic trees were visualized and edited with iTOL [53]. Secondary metabolite and disease-associated gene clusters were identified using nucleotide BLAST+ [54] with an 80% coverage cut off. Clinker [55] diagrams of gene clusters were generated with the online comparative gene cluster analysis toolbox.

PCR primer design and use

The full-length HiVir clusters (hvrA-K) of 31 Pagg strains and HiVir clusters from four other Pantoea sp. were aligned using BLAST and MAFFT. Regions of perfect sequence conservation were manually identified in hvrD and used to design “PanHiVir” primers used to conduct PCR assays for 501 Pantoea sp. strains (Table S4). The copABCD gene regions from 65 Pagg strains were aligned using MAFFT and regions of perfect sequence conservation flanking copC were used to design primers used to conduct PCR assays for 43 Pagg strains.

Analysis of plasmid sequences

All Pagg genomes noted as “complete” on NCBI Genbank were downloaded, combined with closed genome assemblies from this study, and re-annotated with Prokka. BUSCO was used to remove any genomes with completeness <95% or duplicated single-copy >5%. Results of QUAST and BUSCO analysis of the genomes can be found in Tables S5 and S6. Genomes with a FastANI score < 95% compared to the Pagg DSM 3493T genome assembly were also removed resulting in 35 complete and closed Pagg genomes. To predict conjugative and mobile plasmids, Prokka protein annotations were formatted for MacSyFinder [56, 57] and analyzed with CONJScan/Plasmids models [58] specifying that all replicons were circular and that all submodels should be considered. The distance between each pair of replicons was computed using Mashtree [59]. A graph was constructed in which each replicon was represented by a node and edges were created between pairs of nodes when the MASH distance ≤0.05. A custom script was used to compute connected components within this graph and each connected component represents a plasmids cluster (plaster) with similar k-mer statistics. Roary was used to determine core and accessory genes of each plaster (Tables S7, S8, S9, S10, S11). Circular plasmid figures were generated using BRIG [60].

Genetic manipulation

Spontaneous RpR clones were isolated by plating dense suspensions on LB Rp amended agar medium. The in-frame deletion of hvrA from Pagg AR1a and the insertion of KanR markers into the pCB1C plasmid of Pagg CB1 were conducted with pR6KT2G or pKNG101 using established two-step allelic exchange methods [38, 42]. The hvrA mutant was confirmed by PCR assay genotyping and amplicon sequencing. The generation of pCB1C-AKan and pCB1C-BKan insertions were confirmed by Illumina sequencing.

Conjugation assay

Pagg CB1 with pCB1C-AKan or pCB1C-BKan donor strains were co-cultured in LB medium with Rp-resistant AR8b, MMD61212-C, FC61912-B, or J22c recipient strains, followed by plating onto LB Kan Rp agar media to recover exconjugants. ONT sequencing was used to confirm pCB1C-AKan acquisition by exconjugants.

Disease and copper tolerance phenotyping

To prepare inoculum, Pagg strains were grown overnight in either LB or LM liquid or agar amended medium and suspended to an OD600 of 0.2–0.3 in either sterile dH2O or 1X PBS. Strains were disease phenotyped using onion red scale necrosis (RSN) assays described in [43], red onion bulb necrosis assays modified from [38], and foliar necrosis assays using either the cut-tip inoculation method described in [43], or an onion leaf blade puncture method described below. Red onions were procured from local grocery stores or from UGA dining services. Foliar assays were conducted with either greenhouse grown plants as described in [43] or growth chamber grown plants as described in [38]. Bulb necrosis assays were conducted by puncturing red onion bulbs at the shoulder with a sterile dissecting needle to 45 mm and pipetting 10 μl of inoculum into the needle wound. Bulbs were incubated at 28°C for 1 week, then vertically bisected across the inoculation site to document internal symptoms. For the onion leaf blade puncture foliar necrosis assays, sterile toothpicks dipped in inoculum were punctured through leaf blades ~10 cm above the soil line. Plants were incubated in a growth chamber for 5 days and foliar lesion lengths were measured daily starting at 2 days post-inoculation. Copper tolerance of 123 Pagg strains were determined as described in [36] on CYE medium amended with final concentrations of 50, 100, 150, or 200 μg/ml CuSO4·5H2O.

Results

Pagg is comprised of at least two phylogroups

The 81 newly generated Pagg genome assemblies were combined with 100 public genome assemblies selected based on genome and metadata completeness. Prokka annotation resulted in 27 204 genes. Among these, Roary pangenome analysis identified 3111 core genes present in 99% of the strains. The Pagg core genome phylogeny supported the delineation of two well-represented phylogroups that included 175 of 181 strains (Fig. 1). The presence of at least two well-supported phylogenetic divisions in Pagg has been noted previously [6, 13, 61, 62]. The correlation plot of pairwise ANI values supported the same phylogroup and identified six phylogroup-unassigned strains (Fig. S1 and Table S12). The maximum-likelihood phylogeny of a partial gyrB gene region was also largely congruent with phylogroup assignments (Figs. S2 and S3, Table S13). Thus, gyrB sequencing provides a simple method for Pagg phylotyping. However, the six unassigned Pagg strains showed inconsistent phylogroup placements in the Roary gene presence/absence dendrograms and partial gyrB-sequence-based phylogeny (Figs. S2 and S4). We designated the phylogroup containing the Pagg DSM 3494T Type strain clinical isolate as Phylogroup I, and the second phylogroup as Phylogroup II. However, Pagg DSM 3494T is distantly related to other analyzed Phylogroup I strains (Fig. 1). Based upon average MASH distance, number of shared orthologs between phylogroup strain pairs, and availability in public culture collections, we suggest CFBP8784, isolated in France from radish seed, and AR5, isolated from a diseased onion bulb grown in Oregon, U.S.A., as the phylotype strains for Phylogroups I and II, respectively.

P. agglomerans strains divided into two well represented Phylogroups. Approximately-maximum-likelihood phylogenetic tree constructed using FastTree v.2.1.11 based on the 3111 core genes shared among 181 P. agglomerans strains. The tree was constructed using the general time reversible (GTR) nucleotide substitution model, and reliability of the branch groupings was estimated using the approximate likelihood-ratio test (aLRT). The branch is colored blue when supported by an aLRT value ≥70% and red when the support is <70%. The tree was rooted at the midpoint and visualized and edited in iTOL (v. 6.8, available at https://itol.embl.de/). The strain names are highlighted in bold to denote genomes sequenced in this study, and their association with onion is indicated in purple. The distributions of the virulence (HiVir and hrp1-T3SS), antimicrobial (pantocin A, PNP3, herbicolin) and antimicrobial resistance (allicin (alt), copper (cop), arsenic (ars), silver (sil)) genes are indicated by the colored boxes next to bacterial strain names. The type strain of Pagg DSM3493T = LMG1286T is indicated by the solid dot (●) next to the strain name. Proposed phylotype strains AR5 and CFBP8784 are marked with black squares. (■). The two phylogroups are indicated by black (Phylogroup I) and red (Phylogroup II) outermost curved lines. CFBP8785, T2, T3, T4, T5 and P5 were not assigned to phylogroups.
Figure 1

P. agglomerans strains divided into two well represented Phylogroups. Approximately-maximum-likelihood phylogenetic tree constructed using FastTree v.2.1.11 based on the 3111 core genes shared among 181 P. agglomerans strains. The tree was constructed using the general time reversible (GTR) nucleotide substitution model, and reliability of the branch groupings was estimated using the approximate likelihood-ratio test (aLRT). The branch is colored blue when supported by an aLRT value ≥70% and red when the support is <70%. The tree was rooted at the midpoint and visualized and edited in iTOL (v. 6.8, available at https://itol.embl.de/). The strain names are highlighted in bold to denote genomes sequenced in this study, and their association with onion is indicated in purple. The distributions of the virulence (HiVir and hrp1-T3SS), antimicrobial (pantocin A, PNP3, herbicolin) and antimicrobial resistance (allicin (alt), copper (cop), arsenic (ars), silver (sil)) genes are indicated by the colored boxes next to bacterial strain names. The type strain of Pagg DSM3493T = LMG1286T is indicated by the solid dot (●) next to the strain name. Proposed phylotype strains AR5 and CFBP8784 are marked with black squares. (■). The two phylogroups are indicated by black (Phylogroup I) and red (Phylogroup II) outermost curved lines. CFBP8785, T2, T3, T4, T5 and P5 were not assigned to phylogroups.

Phylogenetic distribution of Pagg onion strains and characterized Pagg functional traits

Sequenced Pagg strains isolated from onions fell into both Phylogroup I and Phylogroup II, with 25 and 54 isolates, respectively (Fig. 1). We also identified a sub-lineage (II A) of twenty closely-related onion isolates in Phylogroup II (Fig. 1) isolated from across the U.S.A. and South Africa. These strains have similar branch lengths to the clonal lineage of E325-derivative Tn insertion strains reported by Gayder et al. (2020) [63] (Fig. 1). We identified the HiVir gene cluster in 31 Pagg genomes, exclusively from Phylogroup II strains, including all 20 strains in sub-lineage II A. The alt cluster conferring thiosulfinate tolerance was widely distributed in onion isolates from both Phylogroup I and II. Out of 79 Pagg onion strain assemblies, 63 encoded an alt cluster, including the 30 onion isolates encoding HiVir. In addition, alt clusters were identified from eight non-onion strains (Table S14). Among other characterized secondary-metabolite BGCs, only the cluster for synthesis of pantocin A, a RiPP secondary metabolite, was identified in onion strain genomes including the Phylogroup I Ptg016, and 21 Phylogroup II strains, including all 20 strains in sub-lineage II A (Fig. 1).

The role of HiVir in Pagg onion necrosis symptoms

We tested a subset of 18 onion isolates, representing, where possible, each onion-growing state, including both HiVir+ and HiVir- isolates. These were assessed for their ability to cause necrosis in onion foliage, bulbs, and scales. We additionally included the DSM 3494T type strain (HiVir-negative) and an in-frame hvrA/pepM deletion mutant of Pagg AR1a. As has been observed in other Pantoea sp., strains that possessed the HiVir gene cluster could cause rapid necrosis in both onion leaf and bulb tissues [38, 42, 43]. Conversely, no necrosis was observed in scales, leaves, or bulbs inoculated with HiVir-negative or hvrA-mutant strains (Fig. 2A).

HiVir is the key onion necrosis inducing factor in P. agglomerans. (A) Pathogenicity of HiVir-positive and -negative P. agglomerans (Pagg) strains was tested on onion, including leaves, detached bulb scales and whole bulbs. Onion necrosis was only observed in tissues inoculated with HiVir-positive strains, and symptoms were recorded 4 days post-inoculation (dpi) for scales and leaves, while bulbs were examined 1 week post-inoculation after incubation of the bulbs at 28°C. (B) A clinker diagram showing that the HiVir gene cluster structure is largely conserved across Pantoea species, with the degree of shading of lines between gene arrows representing amino acid identity. Pagg-HiVir is plasmid-borne and is found in two different plasmid contexts. (C) A maximum-likelihood phylogenetic analysis of the hvrD gene from various Pantoea species shows that Pagg-hvrD forms a distinct group compared to that of P. ananatis (Pana), P. allii (Pall), and P. stewartii subsp. indologenes (Psi). Primers for detecting HiVir (PanHiVir) were designed based on conserved regions of the hvrD gene shared by at least four Pantoea species. (D) Screening 306 Pagg strains using genotypic (PanHiVir-PCR assay) and phenotypic (red onion scale necrosis assay) methods revealed a 100% correlation between the presence of HiVir and pathogenicity on onion tissue. The strain names are highlighted according to phylogroups (yellow: Phylogroup I, pink: Phylogroup II).
Figure 2

HiVir is the key onion necrosis inducing factor in P. agglomerans. (A) Pathogenicity of HiVir-positive and -negative P. agglomerans (Pagg) strains was tested on onion, including leaves, detached bulb scales and whole bulbs. Onion necrosis was only observed in tissues inoculated with HiVir-positive strains, and symptoms were recorded 4 days post-inoculation (dpi) for scales and leaves, while bulbs were examined 1 week post-inoculation after incubation of the bulbs at 28°C. (B) A clinker diagram showing that the HiVir gene cluster structure is largely conserved across Pantoea species, with the degree of shading of lines between gene arrows representing amino acid identity. Pagg-HiVir is plasmid-borne and is found in two different plasmid contexts. (C) A maximum-likelihood phylogenetic analysis of the hvrD gene from various Pantoea species shows that Pagg-hvrD forms a distinct group compared to that of P. ananatis (Pana), P. allii (Pall), and P. stewartii subsp. indologenes (Psi). Primers for detecting HiVir (PanHiVir) were designed based on conserved regions of the hvrD gene shared by at least four Pantoea species. (D) Screening 306 Pagg strains using genotypic (PanHiVir-PCR assay) and phenotypic (red onion scale necrosis assay) methods revealed a 100% correlation between the presence of HiVir and pathogenicity on onion tissue. The strain names are highlighted according to phylogroups (yellow: Phylogroup I, pink: Phylogroup II).

We identified two different plasmid contexts for the Pagg HiVir in closed genomes (Fig. 2B). Although the HiVir BGC was nearly identical intraspecies, HiVir was notably different interspecies. We observed 76% nucleotide identity between the Pagg HiVir BGC and Pana 97-1R HiVir. The HiVir BGCs of Pall 20TX0020 and Psi PNA 03–3 were more similar to that of Pana, sharing 94 and 95% nucleotide identity, respectively (Fig. 2C, Table S15). The hvrA-hvrF genes were the most conserved interspecies (Fig. 2B). This is consistent with hvrA-hvrF genes being necessary for inducing onion necrosis by Pana and sufficient for synthesis of pantaphos [43, 64].

Conserved regions of hvrD were targeted for design of Pantoea-universal HiVir detection primers, referred to as PanHiVir (Fig. 2C) which were used to screen the larger collection of Pagg strains. For the 306 Pagg strains assayed, the majority collected as part of our multi-state survey, there was a perfect correlation between the presence of the Pagg HiVir genotype (based on genome sequence or the PanHiVir PCR assay) and a positive RSN phenotype (Fig. 2D). All 59 HiVir positive strains were identified as Phylogroup II strains using these previously described methods for phylotyping (Table S16). These findings provide additional evidence supporting the role of HiVir as a crucial and predictive factor responsible for pathogenicity of Pagg strains to onion and its primary occurrence in Phylogroup II strains.

Identification of Pagg plasmid clusters, their distributions, and associated traits

In addition to the 16 closed public genomes available, we closed 19 genomes produced in this study for replicon analysis (Table S17). A list of replicons and their statistics can be found in Table S18. We used a MASH-based approach to group closed circular replicons (35 chromosomes and 125 plasmids) into clusters based on their k-mer distribution. The analysis identified 31 plasmid clusters, or “plasters”, nine of which contained over one member (Table S19). A summary of pangenome analysis for each plaster can be found in Table 1, and Tables S7, S8, S9, S10, and S11. Hierarchical clustering was used to reorder the rows and columns to group similar pairs (Figs. S5, S6, S7, S8, S9, and S10). The first and second plaster contain the chromosomes and the single LPP-1 plasmids (containing genes for carotenoid biosynthesis) from each genome assembly [65, 66]. Two small membership plasters included “pENY” (plasmid from Environmental New York strains) comprised of plasmids from four strains isolated in New York State from non-onion sources, and pPATH the hrp1 T3SS-encoding pPATHpab and pPATH plasmids from strains Pagg pv. betae 4188 and Pagg pv. gypsophilae 824–1, respectively [67, 68].

Table 1

Summary of Pan-replicon (Replicon-level Pangenome) Analysis.

PlasterTotalHardCoreSoftCoreShellCloud
Chomosome87003106598724663
LPP-1155829544349870
pAggl5007411135280
pOnion72600218508
pENY28312701560
PlasterTotalHardCoreSoftCoreShellCloud
Chomosome87003106598724663
LPP-1155829544349870
pAggl5007411135280
pOnion72600218508
pENY28312701560

This take shows how many gene groups were identified by the pan-replicon (replicon-level pangenome) analysis. Results are provided for each of the five plaster groups that were analyzed. The number of gene groups reported is broken down into “HardCore” (present in 99% ≤ and ≤ 100% of replicons analyzed), “SoftCore” (95% ≤ and < 99%), “Shell” (15% ≤ and < 95%), and “Cloud” (<15%).

Table 1

Summary of Pan-replicon (Replicon-level Pangenome) Analysis.

PlasterTotalHardCoreSoftCoreShellCloud
Chomosome87003106598724663
LPP-1155829544349870
pAggl5007411135280
pOnion72600218508
pENY28312701560
PlasterTotalHardCoreSoftCoreShellCloud
Chomosome87003106598724663
LPP-1155829544349870
pAggl5007411135280
pOnion72600218508
pENY28312701560

This take shows how many gene groups were identified by the pan-replicon (replicon-level pangenome) analysis. Results are provided for each of the five plaster groups that were analyzed. The number of gene groups reported is broken down into “HardCore” (present in 99% ≤ and ≤ 100% of replicons analyzed), “SoftCore” (95% ≤ and < 99%), “Shell” (15% ≤ and < 95%), and “Cloud” (<15%).

A single large plasmid from each Pagg genome assembly comprised the third plaster. A separate analysis of all closed Pantoea genomes from RefSeq showed that this plaster is specific to Pagg (data not shown). We denote this plaster as “pAggl”. Thus, Pagg can be expected to have a ≥ three replicons, the chromosome, pLPP-1, and pAggl. Roary analysis of pAggl plasmids identified a set of 70+ pAggl core genes including genes annotated for environmental signaling, plasmid addiction, iron transport, acetoin biosynthesis, sugar transport and metabolism, and the arn gene cluster for LPS modification (Fig. S11, Tables S20, S21). In addition, the HiVir gene cluster was encoded on pAggl plasmids for the five Phylogroup II sub-lineage II A strains included in the analysis (Fig. 3A).

P. agglomerans plasmids pAggl and pOnion encode onion virulence traits. (A) The selection of pAggl and pOnion from a subset of P. agglomerans strains from Phylogroup I (yellow) and II (pink) to illustrate the distribution of onion virulence (HiVir and alt) and metal (copper, arsenic, and silver) tolerance gene clusters found on both plasmids. The key for these traits is at the bottom of (A), and their positions on the plasmid relative to the repA gene are indicated. (B) BRIG [60] diagram showing a degree of genetic conservation between pAggl (conserved) and pOnion (mosaic) plasmid types (C) Network analysis based on k-mer statistics shows groupings of replicons found in 35 Pagg strains with closed genomes. pOnion network nodes are colored: Red = A-type, blue = B-type, green = C-type. pOnion edges are colored: red = A-to-A, blue = B-to-B, green = C-to-C, other = cross group edges. The pAggl-network resembles those of the vertically transmitted replicons such as chromosome and Large Pantoea Plasmid (LPP-1) whereas pOnion shows an open network structure consistent with its mosaic nature. (D) A diagram of T88c plasmid C, a pOnion C-type plasmid, with colored boxes denoting genes (as determined by Prokka annotation) conserved in >90% of type A + C plasmids (green), conserved in 100% of type B + C plasmids (orange), or conserved in >90% of type B + C plasmids (brown). No genes were conserved in 100% of type A + C plasmids. DNA was visualized in SeqBuilder version 17.3 (DNASTAR, Madison, WI). Regions containing replication and partition genes, alt and OVR-A gene clusters, and the SCALiOn (Shared C A Locus in pOnion) region are labeled.
Figure 3

P. agglomerans plasmids pAggl and pOnion encode onion virulence traits. (A) The selection of pAggl and pOnion from a subset of P. agglomerans strains from Phylogroup I (yellow) and II (pink) to illustrate the distribution of onion virulence (HiVir and alt) and metal (copper, arsenic, and silver) tolerance gene clusters found on both plasmids. The key for these traits is at the bottom of (A), and their positions on the plasmid relative to the repA gene are indicated. (B) BRIG [60] diagram showing a degree of genetic conservation between pAggl (conserved) and pOnion (mosaic) plasmid types (C) Network analysis based on k-mer statistics shows groupings of replicons found in 35 Pagg strains with closed genomes. pOnion network nodes are colored: Red = A-type, blue = B-type, green = C-type. pOnion edges are colored: red = A-to-A, blue = B-to-B, green = C-to-C, other = cross group edges. The pAggl-network resembles those of the vertically transmitted replicons such as chromosome and Large Pantoea Plasmid (LPP-1) whereas pOnion shows an open network structure consistent with its mosaic nature. (D) A diagram of T88c plasmid C, a pOnion C-type plasmid, with colored boxes denoting genes (as determined by Prokka annotation) conserved in >90% of type A + C plasmids (green), conserved in 100% of type B + C plasmids (orange), or conserved in >90% of type B + C plasmids (brown). No genes were conserved in 100% of type A + C plasmids. DNA was visualized in SeqBuilder version 17.3 (DNASTAR, Madison, WI). Regions containing replication and partition genes, alt and OVR-A gene clusters, and the SCALiOn (Shared C A Locus in pOnion) region are labeled.

The plasmids of the fourth plaster were found in Pagg onion isolates in addition to pPAG04 from Pagg pv. gypsophilae 824–1. We denoted this plaster as “pOnion”. Within the Pagg onion strains, the alt gene clusters were only found on pOnion plaster plasmids (Fig. 3A). The HiVir BGC was encoded on pOnion plasmids in five strains and seven of 15 pOnion plasmids encoded genes for tolerance to copper and other metals. Some sequenced strains carried two plasmids that fell within this plaster. Plasmids in the pOnion plaster were genetically mosaic, making it challenging to interpret their relationships. This mosaic nature was reflected in the network representations of the MASH-based plasmid clustering (Fig. 3C). The LPP-1 and pAggl plasmids formed tight networks compared with the diffuse network of the pOnion plasmids. By adjusting the plaster analysis thresholds, we resolved three groupings of pOnion plasmids, A-, B-, and C-type. Using BRIG, some single C-type pOnion plasmids were observed to carry contiguous genetic regions corresponding with those present on each plasmid of dual A-type/B-type pOnion strains (Figs. 3B and S12). Using Roary to identify shared genes, A-type and B-type pOnion plasmids shared different genes sets in common with the C-type plasmids. The core B-type and C-type plasmid genes included the alt gene cluster and other genes also present in Onion Virulence Region A of the Pana pOVR plasmid [39] (Fig. 3D). When the pPAG04 plasmid from Pagg pv. gypsophilae 824–1 was removed, the B-type and C-type also shared genes for plasmid replication and partitioning (Fig. 3D). Initially, no core A-type genes were identified. However, when the 20CO076 plasmid D was removed, a set of core A-type and C-type genes was identified that includes dsbD and dsbG disulfide reductase/isomerase domain genes and other thiol/redox associated proteins (Fig. 3B,D).

Copper tolerance gene clusters in Pagg plasmids

The copper tolerance gene cluster copABCDRS was found in the genomes of 53/79 Pagg onion strains. The cop genes were encoded on pOnion plasmids in seven closed genomes and on the same assembly contig as alt in 32 draft genomes (data not shown). The Pagg copper tolerance clusters in the onion strains could be divided into three types based on their co-association with gene clusters for arsenic tolerance and for silver tolerance (Fig. 1 and Fig. 4A). In the Type I cluster, the copper tolerance gene clusters were co-associated with arsenic tolerance genes. In the Type II cluster, the arsenic, copper, and silver tolerance gene clusters were co-associated. The Type III cluster lacks co-associated metal resistance genes.

Identification of copper tolerance gene clusters in Pantoea agglomerans. (A) Three distinct copper tolerance gene clusters were identified in P. agglomerans (Pagg) based on their nucleotide similarity and co-association of neighboring gene clusters annotated for arsenic and silver tolerance. (B) Pagg strains possessing any type of copper tolerance gene cluster formed confluent colonies on CYE agar medium amended with 100 μg/ml copper sulfate, while strains lacking the copper tolerance gene cluster exhibited no growth or non-confluent growth. (C) Primers for detecting copper tolerance gene clusters were designed based on conserved regions flanking the copC gene. (D) A maximum-likelihood phylogenetic tree rooted at its midpoint was constructed using copC gene sequences extracted from available genome assemblies as well those obtained from PCR assays and sequencing using copC primers. Three major groupings consistent with the types of copper tolerance gene clusters were identified. (E) Screening 123 Pagg strains using genotypic (copC-PCR assay) and phenotypic (copper sensitivity assay) methods confirmed that copper-tolerant strains (those with the copper tolerance gene cluster) can be distinguished from copper-sensitive strains at a concentration of 100 μg/ml copper sulfate.
Figure 4

Identification of copper tolerance gene clusters in Pantoea agglomerans. (A) Three distinct copper tolerance gene clusters were identified in P. agglomerans (Pagg) based on their nucleotide similarity and co-association of neighboring gene clusters annotated for arsenic and silver tolerance. (B) Pagg strains possessing any type of copper tolerance gene cluster formed confluent colonies on CYE agar medium amended with 100 μg/ml copper sulfate, while strains lacking the copper tolerance gene cluster exhibited no growth or non-confluent growth. (C) Primers for detecting copper tolerance gene clusters were designed based on conserved regions flanking the copC gene. (D) A maximum-likelihood phylogenetic tree rooted at its midpoint was constructed using copC gene sequences extracted from available genome assemblies as well those obtained from PCR assays and sequencing using copC primers. Three major groupings consistent with the types of copper tolerance gene clusters were identified. (E) Screening 123 Pagg strains using genotypic (copC-PCR assay) and phenotypic (copper sensitivity assay) methods confirmed that copper-tolerant strains (those with the copper tolerance gene cluster) can be distinguished from copper-sensitive strains at a concentration of 100 μg/ml copper sulfate.

We designed PCR primers for identification of copABCDRS encoding strains (cop-positive) and sequence analysis of copC (Fig. 4C). Phylogenetic analysis revealed that for 65 Pagg copC gene sequences extracted from genome assemblies or detected by the PCR assay and sequencing, the copC gene could be categorized into clades congruent with the copper tolerance gene typing scheme (Fig. 4D). Based on phenotypic measurements of the relative copper sensitivity of 123 Pagg strains (81 WGS strains and 42 strains genotyped with the copC PCR assay) (Table S22), there was a consistent phenotypic difference in copper sensitivity thresholds, with all 54 cop-positive strains producing confluent growth in CYE medium augmented with 100 μg/ml CuSO4·5H2O while none of the 70 cop-negative strains produced confluent growth under the same conditions (Fig. 4B and4E). All three cop cluster types were represented among the 21 strains tolerant to 150 μg/ml CuSO4·5H2O.

Pagg CB1 pCB1C is a mobilizable onion pathogenicity plasmid

Using MacSyFinder (Table S23) to predict plasmid transfer features in our Pagg replicons, 26 replicons were predicted to contain ≥1 mobilizable element and 29 replicons contained conjugative T4SSs of two types: F and G. No LPP-1 nor pAggl plasmids encoded plasmid transfer systems while 10 pOnion plasmids carried a predicted intact conjugative Type-F T4SS [69]. Within this subset, five pOnion plasmids also encoded alt genes. Plasmid pCB1C appeared to have features required to act as a transmissible pathogenicity plasmid: the HiVir cluster encoding the pantaphos toxin, the alt cluster for protecting bacteria after toxin deployment in onion, and an intact T4SS encoding the machinery for mobilization between strains (Fig. 5A). We conducted conjugation assays by co-culturing Pagg CB1 carrying KanR-marked pCB1C with RpR-resistant Phylogroup I recipient strains (Tables S24 and S25). Phlyogroup I RpR KanR exconjugant colonies were readily recovered and representative clones were confirmed by ONT sequencing to have acquired the KanR-marked pCB1C. While AR8b Rpr pCB1C-AKan exconjugant lost its native B-type pOnion plasmid (Fig. 5D), the other pCB1C-AKan exconjugants retained their native plasmids. The three pCB1C-AKan exconjugant Phylogroup I Pagg strains gained the capacity to cause necrosis in onion scales and foliar necrotic lesions comparable with Pagg CB1 and other onion pathogenic strains (Fig. 5B and5C).

P. agglomerans CB1 contains a mobilizable onion pathogenicity plasmid. (A) Representation of pCB1C-AKan, a version of pCB1C of P. agglomerans (Pagg) strain CB1 modified to contain a kanamycin resistance gene cassette to facilitate tracking plasmid movement. pCB1C-AKan and pCB1C harbor the HiVir gene cluster, alt gene cluster, arsenic resistance genes, and a type IV secretion system gene cluster. Predicted recombinase, integrase, or transposase (RIT) genes are marked. The plasmid genome was visualized in SeqBuilder version 17.3 (DNASTAR, Madison, WI). (B) Pagg strains that received pCB1C-AKan (transconjugants) caused positive red scale necrosis results on detached fleshy scales from red onion bulbs. (C) Transconjugants were rendered pathogenic in onion leaves. (D) Whole genome sequencing revealed that recipient strain H1, derived from the non-pathogenic onion isolate Pagg AR8b RpR, lost its existing pOnion plasmid while adding pCB1C-AKan. Strains I1 and J1, derived from environmental isolates MMD61212-C RpR and FC61912-B RpR (not pathogenic to onions), added pCB1C-AKan without plasmid loss. Only plasmids (not chromosomal DNA) are depicted for the strains. Plaster category or name is listed for each plasmid. “U” (for unique) indicates that a plasmid did not form a plaster group with other plasmids in the study. pCB1C-AKan is a pOnion B-type plasmid.
Figure 5

P. agglomerans CB1 contains a mobilizable onion pathogenicity plasmid. (A) Representation of pCB1C-AKan, a version of pCB1C of P. agglomerans (Pagg) strain CB1 modified to contain a kanamycin resistance gene cassette to facilitate tracking plasmid movement. pCB1C-AKan and pCB1C harbor the HiVir gene cluster, alt gene cluster, arsenic resistance genes, and a type IV secretion system gene cluster. Predicted recombinase, integrase, or transposase (RIT) genes are marked. The plasmid genome was visualized in SeqBuilder version 17.3 (DNASTAR, Madison, WI). (B) Pagg strains that received pCB1C-AKan (transconjugants) caused positive red scale necrosis results on detached fleshy scales from red onion bulbs. (C) Transconjugants were rendered pathogenic in onion leaves. (D) Whole genome sequencing revealed that recipient strain H1, derived from the non-pathogenic onion isolate Pagg AR8b RpR, lost its existing pOnion plasmid while adding pCB1C-AKan. Strains I1 and J1, derived from environmental isolates MMD61212-C RpR and FC61912-B RpR (not pathogenic to onions), added pCB1C-AKan without plasmid loss. Only plasmids (not chromosomal DNA) are depicted for the strains. Plaster category or name is listed for each plasmid. “U” (for unique) indicates that a plasmid did not form a plaster group with other plasmids in the study. pCB1C-AKan is a pOnion B-type plasmid.

Discussion

HiVir is a key onion pathogenicity factor in Pagg

We identified the HiVir BGC as a key factor for Pagg onion pathogenicity. The primary role of HiVir in Pana onion pathogenesis has been recently established [38] and, as demonstrated in Pana, HiVir-positive Pagg strains are able to cause rapid necrosis in onion bulbs, detached scales, and foliage. We observed perfect correlation between onion red scale necrosis phenotypes and HiVir gene cluster presence/absence across 306 Pagg strains originating from the United States and internationally. Although both Phylogroup I and II strains of Pagg were isolated from onion, all 59 HiVir-positive Pagg onion isolates were identified as members of Phylogroup II.

Unlike the chromosomally-encoded Pana HiVir, Pagg HiVir is plasmid-borne and, in at least one case, mobilizable. We identified the Pagg HiVir gene cluster in two distinct classes of plasmid, the conserved pAggl plasmids and the mosaic pOnion plasmids. The pAggl-HiVir strains are found in a sub-lineage of closely related Phylogroup II strains isolated from onions in South Africa and across the United States, with oldest recorded strain isolated in 2006 in Georgia State [25]. The oldest analysed HiVir-positive Pagg strains are pOnion-HiVir strains isolated in 1978 in South Africa [14]. In addition, we demonstrated that pCB1C is a mobilizable pOnion HiVir-encoding pathogenicity plasmid able to confer onion pathogenicity to multiple non-pathogenic Phylogroup I strains of Pagg.

The Pagg HiVir BGCs were nearly sequence identical among strains. However, the Pagg HiVir sequences were notably divergent from the HiVir sequences of three other Pantoea species, implying independent acquisition or divergence of Pagg HiVir gene cluster. Consistent with their essential role in facilitating necrosis of onion tissues, the hvrA-hvrF genes displayed higher interspecies sequence conservation than the necrosis non-essential genes hvrG-hvrJ.

Strains from distinct Pagg phylogroups were isolated commonly from onions

In agreement with previous work, we observed that Pagg strains divide into at least two well represented phylogroups supported by core genome phylogeny, ANI, accessory gene presence/absence, and gyrB sequence analysis. Based on available public genome sequences, Phlyogroup I strains have been isolated more frequently. However, members of Phylogroups I and II have been isolated from similar and overlapping niches, predominantly soil and plant sources including onion. Both Phylogroup I and II onion strains typically carry the onion-niche-associated pOnion plasmids, implying some degree of genetic exchange. Based on this, it is unclear what has driven and maintains phylogroup divergence. The six Pagg strains that fell outside of Phylogroups I and II were also isolated from soil and plant sources. Both core genome phylogeny and ANI grouped these strains separately from Phylogroups I and II while gyrB phylotyping did not.

We propose CFBP8784 and AR5 (NRRL B-65700), isolated from radish seed and diseased onion, as Pagg phylotype strains based on more typical isolation sources, core and accessory genome centrality, and availability in public culture collections.

Pagg plasmids encode key niche-adaptative traits

Inferring the genetic relationships among plasmids can be challenging partially due to their high degree of genetic instability. We used MASH distances based on k-mer signatures to categorize plasters (plasmid clusters). A similar method is used in the consensus genome sequence assembler, Trycycler [70]. Since this approach uses MASH distances computed using rank-ordered lists of 21-mers, our plaster analysis is based primarily on statistics of the plasmid sequences. This differs from other approaches to plasmid classification based on replication and partitioning genes [71–73] sequence alignment [74], or other methods to determine whether contigs belong to plasmids or chromosomes (e.g. [75]; [76]). The plaster method is fast and produces expected results grouping the chromosome and LPP-1 replicon sequences into individual plasters. The analysis also assigned pPATHpab and pPATHpag from strains 4188 [67] and 824–1 [68], to a single plaster.

Using this approach, we identified a cluster of conserved plasmids exclusive to Pagg, which we named “pAggl”. The pAggl family of plasmids was first described by [6] and named Large Pantoea Plasmid 2 (LPP-2). Our plaster analysis shows that the Pagg instances of LPP-2 (namely, DAPP-PG734 plasmid 3 [6], and P10c plasmid pPag1 [77]) are contained within the pAggl plaster. However, the P. vagans instance of LPP-2 (namely, C9–1 plasmid pPag1 [78]) is not. In the plaster analysis, the replicons of the pAggl plaster showed the same connectivity to each other as the chromosomal and pLPP1 plasters (Fig. 3), which supports vertical propagation. Our observations support the hypotheses that strains of Pagg contain a chromosome and at least two plasmids, LPP-1 and pAggl, which are all propagated vertically. A recent study [79] of plasmids across the genus Pantoea used a plasmid clustering method similar to ours. The authors of that study also arrived at the conclusion that “LPP-1” and “pPag1” are vertically propagated. Note that in their Pantoea-wide “LPP-1” and “pPag1” clusters subsume our Pagg-specific “LPP-1” and “pAggl” clusters, respectively.

Replicons of the pOnion plaster were divided into three groups: A-type, B-type, and C-type. Although the A-type and B-type pOnion plasmids shared no core genes, they both shared distinct sets of core genes with the C-type pOnion plasmids. In closed onion strain genomes, the alt gene cluster was a shared trait of B-type and C-type pOnion plasmids (Fig. 3D). When the non-onion strain plasmid pPAG04 was excluded, the core genes also included plasmid replication and partitioning genes, implying potential common ancestry. The shared cluster of genes between A-type and C-type pOnion plasmids is enriched in sulfur thiol/redox genes including two with DsbD disulfide reductase domain proteins, periplasmic DsbG disulfide isomerase, Blh bifunctional sulfur transferase/dioxygenase as well as others. Blh contributes to sulfide stress tolerance in other phytopathogenic bacteria [80]. Perhaps this gene cluster, which we dubbed SCALiOn (Shared C A Locus in pOnion), also contributes to bacterial fitness under the thiol stress of necrotized onion tissue. The A-type and B-type pOnion plasmids of pAR1aC and pAR1aD align with independent regions of the C-type pOnion plasmid pPNG06-2C, recapitulating the majority of its sequence. This suggests either a possible fusion or fission of ancestral plasmids (Figs. 3 and S12). The pOnion plasmids display a high degree of genetic instability compared with LPP-1 and pAggl plasmids. Even within the closely related strains of sub-lineage II A, C-type pOnion plasmids varied in size and gene content, and strain 20GA0109, isolated from an onion field weed, lacks the C-type pOnion plasmid all together.

Copper tolerance genes and their co-occurrence with alt thiosulfinate tolerance genes

We identified copper tolerance genes (copABCDRS) [81] as a common feature in onion-associated Pagg. The Pagg cop gene clusters could be divided into three types based on their associations with arsenic and silver tolerance genes and copC gene phylogeny. However, all three cop types were associated with similar phenotypic thresholds for copper tolerance in vitro (100 μg/ml). A whole-genome-based search of ars, cop, and sil resistance gene clusters across 181 Pagg strains revealed an unexpected co-association of alt and cop genes on the same contigs, particularly in onion-associated Pagg strains (Fig. 1). For example, the genome-wide search identified 53 cop + strains, of which 43 were alt+. The cop genes were encoded on pOnion plasmids in seven strains with closed genomes, and on the same contig as alt in 27 draft genomes. The co-occurrence of thiosulfinate tolerance, copper tolerance, and arsenic/silver tolerance in pOnion plaster plasmids is reminiscent of multidrug-resistance plasmids. Prevalence of copper tolerance genes in Pagg onion strains, often co-inherited alongside alt thiosulfinate tolerance genes, may account for the limited efficacy of copper-based bactericides for management of onion center rot caused by Pagg. Numerous field trials conducted to evaluate the efficacy of bactericides against bacterial bulb rot disease in onion have shown that copper-based bactericides are ineffective in many trial locations [82, 83].

Plasmid-transmissibility of onion pathogenicity

Experiments with pCB1C confirmed that the plasmid could mobilize between Pagg strains under laboratory conditions and that acquisition of this plasmid could transform non-pathogenic Phylogroup I Pagg strains into onion pathogens. In exconjugants of the environmental strains FC61912-B and MMD61212-C, pCB1C-AKan was acquired without loss of native plasmids. However, the onion strain AR8b exconjugant lost its endogenous B-type pOnion plasmid, potentially due to plasmid incompatibility.

While pOnion plaster plasmids were found in both Phylogroup I and II, the HiVir-encoding pOnion plasmids were only identified among Phylogroup II strains. It seems that there is no stringent barrier preventing Phylogroup I strains from acquiring a pOnion-HiVir plasmid. Other factors may affect the transmission, acquisition, and maintenance of pOnion plasmids by Phylogroup I and II strains in the environment. Onion strains from both phylogroups often carry pOnion plaster plasmids, which may be in the same incompatibility groups and therefore limit exchange of pOnion plasmids. In addition, co-occurrence of the HiVir BGC and intact T4SS on the same plasmid appears to be rare. Computationally-predicted, intact T4SS clusters were also commonly found on other Pagg plasmids and on the chromosome, suggesting that many replicons have the potential for movement among Pagg strains. Annotated genes for integrases, transposases, and recombinases were common in pOnion plasmids and elsewhere in the genome. Given the mosaic nature of pOnion plasmids, genes involved in recombination have likely impacted on the movement of virulence factor genes between replicons. Within Pagg strains, nearly identical HiVir BGCs can be found in the mosaic pOnion and non-mobile conserved pAggl, demonstrating movement of this key pathogenicity factor between replicons.

Conclusion

Draft and closed genomes of Pagg described in this study will provide valuable resources for future research into bacterial and plasmid ecology, with potential agricultural impacts. Important questions remain unanswered. Are there differences between Phylogroups I and II survival in onions or their ability to exchange plasmids? Copper tolerance, previously described in Pagg [36, 84], were relatively common in strains isolated from onions and are often co-encoded with alt genes on plasmids. Should the presence of copper tolerance in Pagg strains impact agricultural management decisions? There is evidence that the HiVir and alt gene clusters are mobilizable from some strains, but the distribution of HiVir in Pagg strains appears limited, as this cluster was detected only in strains from one phylogroup in this study. Are there factors that limit the spread of HiVir? Are there other hosts or environments where the HiVir cluster has a significant benefit or fitness cost to Pagg? Further research will hopefully answer these and other questions that impact agricultural practices.

Acknowledgements

We thank Dr Erika Mudrak and Dr Lynn Johnson of the Cornell Statistical Consulting Unit for help with data analysis.

We thank Benjamin Wood and Dr James Woodhall, University of Idaho, Parma Research and Extension Center for providing isolates from Idaho and Eastern Oregon.

This work was not possible without the help and support of the late Dr Steven Beer. The contributions of Dr Beer and his lab to bacterial onion disease research are enormous, and he generously provided many of the strains studied in the present work. Perhaps just as importantly, he connected the UGA and USDA labs and encouraged our collaboration. The paper would not have happened without him.

Conflicts of interest

The authors declare no conflicts of Interest.

Data availability

Data generated or analysed during this study are included in this published article, supplementary information files, or Supplementary Dataset 1. Supplementary dataset 1 includes the consolidated and reconciled annotations from all of the WGS strains used in this study and has been deposited with Dryad doi:10.5061/dryad.xgxd254r4.

Funding

This work is supported by Specialty Crops Research Initiative Award 2019-51181-30013 from the USDA, National Institute of Food and Agriculture. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture. The U.S. Department of Agriculture (USDA) is an equal opportunity provider and employer. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA.

References

1.

Cheng
 
A
,
Liu
 
C-Y
,
Tsai
 
H-Y
 et al.  
Bacteremia caused by Pantoea agglomerans at a medical center in Taiwan, 2000-2010
.
J Microbiol Immunol Infect
 
2013
;
46
:
187
94
.

2.

Cruz
 
AT
,
Cazacu
 
AC
,
Allen
 
CH
.
Pantoea agglomerans, a plant pathogen causing human disease
.
J Clin Microbiol
 
2007
;
45
:
1989
92
.

3.

Gavini
 
F
,
Mergaert
 
J
,
Beji
 
A
 et al.  
Transfer of Enterobacter agglomerans (Beijerinck 1888) Ewing and fife 1972 to Pantoea gen. Nov. as Pantoea agglomerans comb. nov. and description of Pantoea dispersa sp. nov
.
Int J Syst Bacteriol
 
1989
;
39
:
337
45
.

4.

Feng
 
Y
,
Shen
 
D
,
Song
 
W
.
Rice endophyte Pantoea agglomerans YS19 promotes host plant growth and affects allocations of host photosynthates
.
J Appl Microbiol
 
2006
;
100
:
938
45
.

5.

Andreote
 
FD
,
Rossetto
 
PB
,
Souza
 
LCA
 et al.  
Endophytic population of Pantoea agglomerans in citrus plants and development of a cloning vector for endophytes
.
J Basic Microbiol
 
2008
;
48
:
338
46
.

6.

Sulja
 
A
,
Pothier
 
JF
,
Blom
 
J
 et al.  
Comparative genomics to examine the endophytic potential of Pantoea agglomerans DAPP-PG 734
.
BMC Genomics
 
2022
;
23
:
742
.

7.

Walterson
 
AM
,
Stavrinides
 
J
.
Pantoea: insights into a highly versatile and diverse genus within the Enterobacteriaceae
.
FEMS Microbiol Rev
 
2015
;
39
:
968
84
.

8.

Zhang
 
X
,
Li
 
E
,
Xiong
 
X
 et al.  
Colonization of endophyte Pantoea agglomerans YS19 on host rice, with formation of multicellular symplasmata
.
World J Microbiol Biotechnol
 
2010
;
26
:
1667
73
.

9.

Costa
 
E
,
Teixidó
 
N
,
Usall
 
J
 et al.  
Production of the biocontrol agent Pantoea agglomerans strain CPA-2 using commercial products and by-products
.
Appl Microbiol Biotechnol
 
2001
;
56
:
367
71
.

10.

Giddens
 
SR
,
Feng
 
Y
,
Mahanty
 
HK
.
Characterization of a novel phenazine antibiotic gene cluster in Erwinia herbicola Eh1087
.
Mol Microbiol
 
2002
;
45
:
769
83
.

11.

Greiner
 
M
,
Winkelmann
 
G
.
Fermentation and isolation of herbicolin a, a peptide antibiotic produced by Erwinia herbicola strain a 111
.
Appl Microbiol Biotechnol
 
1991
;
34
:
565
9
.

12.

Alkaabi
 
AS
,
Sudalaimuthuasari
 
N
,
Kundu
 
B
 et al.  
Complete genome sequence of the plant growth-promoting bacterium Pantoea agglomerans strain UAEU18, isolated from date palm rhizosphere soil in the United Arab Emirates
.
Microbiol Resour Announc
 
2020
;
9
:e00174-20.

13.

Soluch
 
R
,
Hülter
 
NF
,
Romero Picazo
 
D
 et al.  
Colonization dynamics of Pantoea agglomerans in the wheat root habitat
.
Environ Microbiol
 
2021
;
23
:
2260
73
.

14.

Hattingh
 
MJ
,
Walters
 
DF
.
Stalk and leaf necrosis of onion caused by Erwinia herbicola
.
Plant Dis
 
1981
;
65
:
615
.

15.

Lee
 
HB
,
Hong
 
JP
,
Kim
 
SB
.
First report of leaf blight caused by Pantoea agglomerans on rice in Korea
.
Plant Dis
 
2010
;
94
:
1372
.

16.

Xie
 
G
.
First report of Palea browning in China and characterization of the causal organism by phenotypic tests and biolog
.
Int Rice Res Notes
 
2001
;
26
:
25
6
.

17.

Guo
 
M
,
Liu
 
Y
,
Liu
 
SN
 et al.  
First report of bacterial soft rot caused by Pantoea agglomerans on Chinese cabbage in China
.
Plant Dis
 
2020
;
104
:
277
.

18.

Gutiérrez-Barranquero
 
JA
,
Cazorla
 
FM
,
Torés
 
JA
 et al.  
Pantoea agglomerans as a new etiological agent of a bacterial necrotic disease of mango trees
.
Phytopathology
 
2019
;
109
:
17
26
.

19.

Burr
 
TJ
,
Katz
 
BH
,
Abawi
 
GS
 et al.  
Comparison of tumorigenic strains of Erwinia herbicola from table beet with E. h. Gypsophilae
.
Plant Dis
 
1991
;
75
:
855
8
.

20.

Cooksey
 
DA
.
Galls of Gypsophila paniculata caused by Erwinia herbicola
.
Plant Dis
 
1986
;
70
:
464
.

21.

Brady
 
CL
,
Goszczynska
 
T
,
Venter
 
SN
 et al.  
Pantoea allii sp. nov., isolated from onion plants and seed
.
Int J Syst Evol Microbiol
 
2011
;
61
:
932
7
.

22.

Carr
 
EA
,
Zaid
 
AM
,
Bonasera
 
JM
 et al.  
Infection of onion leaves by Pantoea ananatis leads to bulb infection
.
Plant Dis
 
2013
;
97
:
1524
8
.

23.

Gitaitis
 
RD
,
Gay
 
JD
.
First report of a leaf blight, seed stalk rot, and bulb decay of onion by Pantoea ananas in Georgia
.
Plant Dis
 
1997
;
81
:
1096
.

24.

Stumpf
 
S
,
Kvitko
 
B
,
Gitaitis
 
R
 et al.  
Isolation and characterization of novel Pantoea stewartii subsp. indologenes strains exhibiting center rot in onion
.
Plant Dis
 
2018
;
102
:
727
33
.

25.

Edens
 
DG
,
Gitaitis
 
RD
,
Sanders
 
FH
 et al.  
First report of Pantoea agglomerans causing a leaf blight and bulb rot of onions in Georgia
.
Plant Dis
 
2006
;
90
:
1551
.

26.

Hu
 
J
.
First report of onion bulb rot caused by Pantoea agglomerans in Arizona
.
Plant Dis
 
2019
;
103
:
1408
.

27.

Khanal
 
M
,
Bhatta
 
BP
,
Malla
 
S
.
Isolation and characterization of bacteria associated with onion and first report of onion diseases caused by five bacterial pathogens in Texas, U.S.a
.
Plant Dis
 
2023
;
107
:
1721
9
.

28.

Tho
 
KE
,
Wiriyajitsomboon
 
P
,
Hausbeck
 
MK
.
First report of Pantoea agglomerans causing onion leaf blight and bulb rot in Michigan
.
Plant Dis
 
2015
;
99
:
1034
.

29.

Gitaitis
 
RD
,
Walcott
 
RR
,
Wells
 
ML
 et al.  
Transmission of Pantoea ananatis, causal agent of center rot of onion, by tobacco thrips
.
Frankliniella fusca Plant Dis
 
2003
;
87
:
675
8
.

30.

Dutta
 
B
,
Barman
 
AK
,
Srinivasan
 
R
 et al.  
Transmission of Pantoea ananatis and P. Agglomerans, causal agents of center rot of onion (Allium cepa), by onion thrips (thrips tabaci) through feces
.
Phytopathology
 
2014
;
104
:
812
9
.

31.

Vahling-Armstrong
 
C
,
Dung
 
JKS
,
Humann
 
JL
 et al.  
Effects of postharvest onion curing parameters on bulb rot caused by Pantoea agglomerans, Pantoea ananatis and Pantoea allii in storage
.
Plant Pathol
 
2016
;
65
:
536
44
.

32.

Walcott
 
RR
,
Gitaitis
 
RD
,
Castro
 
AC
 et al.  
Natural infestation of onion seed by Pantoea ananatis, causal agent of center rot
.
Plant Dis
 
2002
;
86
:
106
11
.

33.

Dutta
 
B
,
Gitaitis
 
R
.
Bacterial diseases of onions in Georgia
.
University of Georgia Extension
 
2020
;
Bulletin 1534
;
1
:1–11.

34.

Koirala
 
S
,
Myers
 
B
,
Shin
 
GY
 et al.  
Evaluating options to increase the efficacy of biocontrol agents for the management of Pantoea spp. under field conditions
.
Plant Dis
 
2023
;
107
:
2701
8
.

35.

du Toit
 
LJ
,
MacKay Brown
 
H
,
Shin
 
GY
, et al.  Distribution and pathogenicity of bacteria collected in surveys of onion crops across production regions in the U.S. in 2020 and 2021.
In Phytopathology
2022;
112
:97–97.

36.

Tho
 
KE
,
Brisco-McCann
 
E
,
Wiriyajitsomboon
 
P
 et al.  
Bacteria associated with onion foliage in Michigan and their copper sensitivity
.
Plant Health Prog
 
2019
;
20
:
170
7
.

37.

Agarwal
 
G
,
Choudhary
 
D
,
Stice
 
SP
 et al.  
Pan-genome-wide analysis of Pantoea ananatis identified genes linked to pathogenicity in onion
.
Front Microbiol
 
2021
;
12
:
684756
.

38.

Asselin
 
JE
,
Bonasera
 
JM
,
Beer
 
SV
.
Center rot of onion (Allium cepa) caused by Pantoea ananatis requires pepM, a predicted phosphonate-related gene
.
Mol Plant-Microbe Interact
 
2018
;
31
:
1291
300
.

39.

Stice
 
SP
,
Stumpf
 
SD
,
Gitaitis
 
RD
 et al.  
Pantoea ananatis genetic diversity analysis reveals limited genomic diversity as well as accessory genes correlated with onion pathogenicity
.
Front Microbiol
 
2018
;
9
:
184
.

40.

Stice
 
SP
,
Shin
 
GY
,
De Armas
 
S
 et al.  
The distribution of onion virulence gene clusters among Pantoea spp
.
Front Plant Sci
 
2021
;
12
:
643787
.

41.

Polidore
 
ALA
,
Furiassi
 
L
,
Hergenrother
 
PJ
 et al.  
A phosphonate natural product made by Pantoea ananatis is necessary and sufficient for the hallmark lesions of onion center rot
.
MBio
 
2021
;
12
:e03402-20.

42.

Stice
 
SP
,
Thao
 
KK
,
Khang
 
CH
 et al.  
Thiosulfinate tolerance is a virulence strategy of an atypical bacterial pathogen of onion
.
Curr Biol
 
2020
;
30
:
3130
3140.e6
.

43.

Shin
 
GY
,
Dutta
 
B
,
Kvitko
 
B
.
The genetic requirements for HiVir-mediated onion necrosis by Pantoea ananatis, a necrotrophic plant pathogen
.
Mol Plant-Microbe Interact
 
2023
;
36
:
381
91
.

44.

Zaid
 
AM
,
Bonasera
 
JM
,
Beer
 
SV
.
OEM—a new medium for rapid isolation of onion-pathogenic and onion-associated bacteria
.
J Microbiol Methods
 
2012
;
91
:
520
6
.

45.

Bonasera
 
JM
,
Asselin
 
JE
,
Beer
 
SV
.
Identification of bacteria pathogenic to or associated with onion (Allium cepa) based on sequence differences in a portion of the conserved gyrase b gene
.
J Microbiol Methods
 
2014
;
103
:
138
43
.

46.

Brady
 
C
,
Cleenwerck
 
I
,
Venter
 
S
 et al.  
Phylogeny and identification of Pantoea species associated with plants, humans and the natural environment based on multilocus sequence analysis (MLSA)
.
Syst Appl Microbiol
 
2008
;
31
:
447
60
.

47.

Seemann
 
T
.
Prokka: rapid prokaryotic genome annotation
.
Bioinformatics
 
2014
;
30
:
2068
9
.

48.

Page
 
AJ
,
Cummins
 
CA
,
Hunt
 
M
 et al.  
Roary: rapid large-scale prokaryote pan genome analysis
.
Bioinformatics
 
2015
;
31
:
3691
3
.

49.

Katoh
 
K
,
Standley
 
DM
.
MAFFT multiple sequence alignment software version 7: improvements in performance and usability
.
Mol Biol Evol
 
2013
;
30
:
772
80
.

50.

Price
 
MN
,
Dehal
 
PS
,
Arkin
 
AP
.
FastTree 2approximately maximum-likelihood trees for large alignments
.
PLoS One
 
2010
;
5
:
e9490
.

51.

Jain
 
C
,
Rodriguez-R
 
LM
,
Phillippy
 
AM
 et al.  
High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries
.
Nat Commun
 
2018
;
9
:
5114
.

52.

Guindon
 
S
,
Dufayard
 
J-F
,
Lefort
 
V
 et al.  
New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0
.
Syst Biol
 
2010
;
59
:
307
21
.

53.

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
6
.

54.

Camacho
 
C
,
Coulouris
 
G
,
Avagyan
 
V
 et al.  
BLAST+: architecture and applications
.
BMC Bioinformatics
 
2009
;
10
:
421
.

55.

Gilchrist
 
CLM
,
Chooi
 
Y-H
.
Clinker & clustermap.Js: automatic generation of gene cluster comparison figures
.
Bioinformatics
 
2021
;
37
:
2473
5
.

56.

Abby
 
SS
,
Néron
 
B
,
Ménager
 
H
 et al.  
MacSyFinder: a program to mine genomes for molecular systems with an application to CRISPR-Cas systems
.
PLoS One
 
2014
;
9
:
e110726
.

57.

Néron
 
B
,
Denise
 
R
,
Coluzzi
 
C
 et al.  
MacSyFinder v2: improved modelling and search engine to identify molecular systems in genomes
.
Peer Community J
 
2023
;
3
:
e28
.

58.

Abby
 
SS
,
Cury
 
J
,
Guglielmini
 
J
 et al.  
Identification of protein secretion systems in bacterial genomes
.
Sci Rep
 
2016
;
6
:
23080
.

59.

Katz
 
L
,
Griswold
 
T
,
Morrison
 
S
 et al.  
Mashtree: a rapid comparison of whole genome sequence files
.
J Open Source Softw
 
2019
;
4
:
1762
.

60.

Alikhan
 
N-F
,
Petty
 
NK
,
Ben Zakour
 
NL
 et al.  
BLAST ring image generator (BRIG): simple prokaryote genome comparisons
.
BMC Genomics
 
2011
;
12
:
402
.

61.

Tambong
 
JT
.
Taxogenomics and systematics of the genus Pantoea
.
Front Microbiol
 
2019
;
10
:
2463
.

62.

Crosby
 
KC
,
Rojas
 
M
,
Sharma
 
P
 et al.  
Genomic delineation and description of species and within-species lineages in the genus Pantoea
.
Front Microbiol
 
2023
;
14
:
1254999
.

63.

Gayder
 
S
,
Parcey
 
M
,
Nesbitt
 
D
 et al.  
Population dynamics between Erwinia amylovora, Pantoea agglomerans and bacteriophages: exploiting synergy and competition to improve phage cocktail efficacy
.
Microorganisms
 
2020
;
8
:
1449
.

64.

Polidore
 
ALA
,
Caserio
 
AD
,
Zhu
 
L
 et al.  
Complete biochemical characterization of pantaphos biosynthesis highlights an unusual role for a SAM-dependent methyltransferase
.
Angew Chem Int Ed Engl
 
2024
;
63
:
e202317262
.

65.

Choi
 
O
,
Kang
 
B
,
Lee
 
Y
 et al.  
Pantoea ananatis carotenoid production confers toxoflavin tolerance and is regulated by Hfq-controlled quorum sensing
.
Microbiology
 
2020
;
10
:
e1143
.

66.

De Maayer
 
P
,
Chan
 
W-Y
,
Blom
 
J
 et al.  
The large universal Pantoea plasmid LPP-1 plays a major role in biological and ecological diversification
.
BMC Genomics
 
2012
;
13
:
625
.

67.

Nissan
 
G
,
Chalupowicz
 
L
,
Sessa
 
G
 et al.  
Two Pantoea agglomerans type III effectors can transform nonpathogenic and phytopathogenic bacteria into host-specific gall-forming pathogens
.
Mol Plant Pathol
 
2019
;
20
:
1582
7
.

68.

Geraffi
 
N
,
Gupta
 
P
,
Wagner
 
N
 et al.  
Comparative sequence analysis of pPATH pathogenicity plasmids in Pantoea agglomerans gall-forming bacteria
.
Front Plant Sci
 
2023
;
14
:
1198160
.

69.

Cury
 
J
,
Touchon
 
M
,
Rocha
 
EPC
.
Integrative and conjugative elements and their hosts: composition, distribution and organization
.
Nucleic Acids Res
 
2017
;
45
:
8943
56
.

70.

Wick
 
RR
,
Judd
 
LM
,
Cerdeira
 
LT
 et al.  
Trycycler: consensus long-read assemblies for bacterial genomes
.
Genome Biol
 
2021
;
22
:
266
.

71.

Carattoli
 
A
,
Zankari
 
E
,
García-Fernández
 
A
 et al.  
In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing
.
Antimicrob Agents Chemother
 
2014
;
58
:
3895
903
.

72.

Huisman
 
JS
,
Vaughan
 
TG
,
Egli
 
A
 et al.  
The effect of sequencing and assembly on the inference of horizontal gene transfer on chromosomal and plasmid phylogenies
.
Philos Trans R Soc Lond Ser B Biol Sci
 
2022
;
377
:
20210245
.

73.

Sielemann J, Sielemann K, Brejová B et al. plASgraph2: using graph neural networks to detect plasmid contigs from an assembly graph.

Frontiers in Microbiology
2023;
14
:1267695.

74.

Redondo-Salvo
 
S
,
Bartomeus-Peñalver
 
R
,
Vielva
 
L
 et al.  
COPLA, a taxonomic classifier of plasmids
.
BMC Bioinformatics
 
2021
;
22
:
390
.

75.

Andreopoulos
 
WB
,
Geller
 
AM
,
Lucke
 
M
 et al.  
Deeplasmid: deep learning accurately separates plasmids from bacterial chromosomes
.
Nucleic Acids Res
 
2021
;
50
:
e17
.

76.

Sielemann
 
J
,
Sielemann
 
K
,
Brejová
 
B
 et al.  
plASgraph—using graph neural networks to detect plasmid contigs from an assembly graph
bioRxiv
.
2022
.

77.

Smits
 
THM
,
Rezzonico
 
F
,
Blom
 
J
 et al.  
Draft genome sequence of the commercial biocontrol strain Pantoea agglomerans P10c
.
Genome Announc
 
2015
;
3
:e01448-15.

78.

Smits
 
THM
,
Rezzonico
 
F
,
Kamber
 
T
 et al.  
Metabolic versatility and antibacterial metabolite biosynthesis are distinguishing genomic features of the fire blight antagonist Pantoea vagans C9-1
.
PLoS One
 
2011
;
6
:
e22247
.

79.

Picazo
 
DR
,
Kwasigroch
 
P
,
Hülter
 
NF
 et al.  
Evolution of plasmid domestication in plant-associated Pantoea: massive gain of genetic redundancy followed by differential gene loss.
 
bioRxiv
. 2024:2024-10.

80.

de Lira
 
NPV
,
Pauletti
 
BA
,
Marques
 
AC
 et al.  
BigR is a sulfide sensor that regulates a sulfur transferase/dioxygenase required for aerobic respiration of plant bacteria under sulfide stress
.
Sci Rep
 
2018
;
8
:
3508
.

81.

Rademacher
 
C
,
Masepohl
 
B
.
Copper-responsive gene regulation in bacteria
.
Microbiology (Reading)
 
2012
;
158
:
2451
64
.

82.

du Toit
 
LJ
,
Derie
 
ML
,
Gundersen
 
B
 et al.  
Effects of bactericide and herbicide applications on bacterial leaf blight and bulb rot of onion, Pasco, WA, 2021-22
.
Plant Dis Manag Rep
 
2022
;
16
:
V150
.

83.

Koirala
 
S
,
Shin
 
GY
,
Kvitko
 
B
 et al.  
Integrating biocontrol agents with copper for center rot management in onion
.
Crop Prot
 
2024
;
184
:
106785
.

84.

Corsini
 
G
,
Valdés
 
N
,
Pradel
 
P
 et al.  
Draft genome sequence of a copper-resistant marine bacterium, Pantoea agglomerans strain LMAE-2, a bacterial strain with potential use in bioremediation
.
Genome Announc
 
2016
;
4
:e00525-16.

Author notes

Gi Yoon Shin and Jo Ann Asselin contributed equally to this work.

This work is written by US Government employees and is in the public domain in the US.

Supplementary data