Abstract
Pseudomonas syringae pv. actinidiae (Psa), the causal agent of kiwifruit canker, is one of the most devastating plant diseases of recent times. We have generated two mini-Tn5-based random insertion libraries of Psa ICMP 18884. The first, a ‘phenotype of interest’ (POI) library, consists of 10,368 independent mutants gridded into 96-well plates. By replica plating onto selective media, the POI library was successfully screened for auxotrophic and motility mutants. Lipopolysaccharide (LPS) biosynthesis mutants with ‘Fuzzy-Spreader’-like morphologies were also identified through a visual screen. The second, a ‘mutant of interest’ (MOI) library, comprises around 96,000 independent mutants, also stored in 96-well plates, with approximately 200 individuals per well. The MOI library was sequenced on the Illumina MiSeq platform using Transposon-Directed Insertion site Sequencing (TraDIS) to map insertion sites onto the Psa genome. A grid-based PCR method was developed to recover individual mutants, and using this strategy, the MOI library was successfully screened for a putative LPS mutant not identified in the visual screen. The Psa chromosome and plasmid had 24,031 and 1,236 independent insertion events respectively, giving insertion frequencies of 3.65 and 16.6 per kb respectively. These data suggest that the MOI library is near saturation, with the theoretical probability of finding an insert in any one chromosomal gene estimated to be 97.5%. However, only 47% of chromosomal genes had insertions. This surprisingly low rate cannot be solely explained by the lack of insertions in essential genes, which would be expected to be around 5%. Strikingly, many accessory genes, including most of those encoding type III effectors, lacked insertions. In contrast, 94% of genes on the Psa plasmid had insertions, including for example, the type III effector HopAU1. These results suggest that some chromosomal sites are rendered inaccessible to transposon insertion, either by DNA-binding proteins or by the architecture of the nucleoid.
Introduction
Pseudomonas syringae is a highly successful species complex that comprises important plant pathogens and epiphytes, and has recently been found in non-agricultural environments such as waterways [1, 2]. Pathogenic isolates of P. syringae usually have a narrow host range and have been grouped into a complex of approximately 60 pathovars, ten of which are now recognized as separate species [3]. Differences in host specificity are a function of the specific effector and secondary metabolite profiles they possess in their accessory genomes. The kiwifruit (Actinidia spp.) vine disease pathogen P. syringae pv. actinidiae (Psa) was first formally identified in Japan in 1984 [4, 5], and was subsequently found in Korea in the 1990s [6]. Both these strains caused canker symptoms, but did not spread from their country of origin. In 2008, a particularly virulent canker-causing strain of Psa was reported in Italy and it quickly decimated plantings of A. chinensis var. chinensis cultivars, particularly ‘Hort16A’, ‘Hongyang’ and ‘Jin Tao’. This strain was later found in other major kiwifruit growing regions of New Zealand and Chile in 2010 [7]. Phylogenetic analysis of the core genomes from 25 isolates of Psa representing isolates from all locations where Psa had been reported, indicated that the canker-causing isolates formed three clades, which were subsequently equated to biovars [8, 9]. The first biovar comprised the initial isolates from Japan, the second contained those collected in the 1990s from Korea, and the third consisted of the outbreak isolates from Italy, New Zealand, Chile and China. Isolates within biovar 3 differed by very few single nucleotide polymorphisms (SNPs), suggesting that this was a clonal population [8, 10, 11]. The isolates from New Zealand, Italy, Chile and China possessed different members of a family of integrative conjugative elements [8, 10, 11]. More recently, another canker-causing biovar of Psa has been found in Japan, which appears to be most closely related to biovar 2 from Korea [12]. Despite the relatively small number of SNPs in the core genomes of the canker-causing biovars, each has a surprisingly varied accessory genome, with different complements of genes encoding effectors and toxins [8, 13]. Many of these genes are coded on active mobile genetic elements [8, 10].
Transposon mutagenesis has long been used in bacterial genetics to identify and functionally characterize individual genes involved in pathogenicity. Transposon-based signature-tagged mutagenesis and genetic foot-printing strategies have identified essential genes and those involved in causing disease from a number of plant and human pathogens [14–16]. When combined with next generation sequencing technologies, the majority of transposon insertion events can be identified and mapped to a reference genome [17, 18].
In this paper we have generated two independent mini-Tn5-based transposon mutant libraries of Psa ICMP 18884. The first, a ‘phenotype of interest’ (POI) library, comprises 10,368 individually gridded mutants. The second, a ‘mutant of interest’ (MOI) library, consists of around 96,000 pooled mutants and has been sequenced on the Illumina MiSeq platform, with transposon insertion sites mapped onto the Psa ICMP 18884 genome [19]. We have demonstrated the utility of both libraries through the identification of several auxotrophic and motility mutants (POI library), as well as a mutant disrupted in a predicted component of the Psa lipopolysaccharide (LPS) biosynthesis pathway (MOI library). These libraries set the foundation for future studies aimed at dissecting the mechanisms of Psa growth and pathology.
Materials and methods
General materials and methods
The percentage of agar used in Lysogeny broth (LB), King’s B (KB) [20], and M9 minimal (M9) [21] media was 1.5% (w/v). The final concentration of kanamycin (Km) used in agar and liquid media was, unless otherwise stated, 50 μg/mL. Escherichia coli and Psa were routinely cultured at 37°C and room temperature (~20°C), respectively. All kits and reagents were used, except where specified, in accordance with the manufacturer’s instructions.
Bacterial isolate used in this study
Psa ICMP 18884 (biovar 3; PRJNA71845; SAMN02727983), which was collected in 2010 from the kiwifruit cultivar Actinidia chinensis var. deliciosa ‘Hayward’ in Rangiuru, Te Puke, Bay of Plenty, New Zealand, was used in this study [8, 22]. From this point forward, Psa ICMP 18884 will be referred to as Psa.
Plasmid DNA used for transposon mutagenesis of Psa
Plasmid DNA used for transposon mutagenesis of Psa was pKRCPN2 (S1 Fig), a derivative of pDS1028 [23, 24]. pKRCPN2 harbors the mini-Tn5-based transposon Tn-DS1028uidAKm, which itself carries a uidA β-glucuronidase (GUS) reporter gene and Km resistance cassette for the tracking and selection of Psa transformants, respectively (Kevin Roberts, unpublished). pKRCPN2 also carries a tetracycline (Tc) resistance cassette and an R6Kγ origin of replication for propagation in pir-dependent strains of E. coli, as well as a hyperactive transposase for the transposition of Tn-DS1028uidAKm [25]. Briefly, for propagation, E. coli strain BW20767 was transformed with pKRCPN2 using a standard electroporation protocol, with selection overnight on LB agar medium containing 10 μg/mL Tc. A single colony was inoculated into 100 mL LB-Tc liquid medium and cultured overnight at 120 rpm. Plasmid DNA was purified using a PureLink HiPure Plasmid Midiprep Kit (Invitrogen). In addition to pKRCPN2, a second plasmid, pKRCPN1, carrying the mini-Tn5-based transposon Tn-DS1028lacZKm [23], was trialed for transposon mutagenesis of Psa. pKRCPN1 DNA was propagated as described above for pKRCPN2.
Transposon mutagenesis of Psa
Psa was stored at –80°C with 15% v/v glycerol as a cryoprotectant. When required, cells were streaked onto KB agar medium and cultured for 3 d. A single colony was inoculated into 50 mL KB liquid medium and cultured overnight at 120 rpm to an OD600 of 2–4. Psa was prepared for transformation by electroporation using a modified microcentrifuge-based protocol [26]. Briefly, 6 mL of liquid culture were distributed into four microcentrifuge tubes and cells collected by centrifugation at 17,000 × g for 30 s. The supernatant was removed, the cell pellet gently washed by re-suspension in 1 mL 300 mM sucrose, and the cells collected by centrifugation as above. This washing step was repeated, and the four cell pellets combined by gentle re-suspension in 100 μL 300 mM sucrose. For electroporation, 1 μg pKRCPN2 DNA in 10 μL sterile water was gently mixed with the competent cells and transferred to a 2-mm gap-width electroporation cuvette. Electroporation was carried out with pulse settings of 25 μF, 200 Ω and 2.5 Kv. Control cells were pulsed with sterile water in place of plasmid DNA. Immediately following electroporation, 1 mL KB liquid medium was added, and a tailored cell recovery regime initiated for the purpose of generating either an MOI or POI library (see below).
To generate the MOI library (S2 Fig), Psa cells from three independent electroporations, each in 1 mL KB liquid medium from above, were combined, added to a 50-mL tube containing 47 mL KB liquid medium, mixed by gentle inversion, and allowed to recover at 50 rpm for 1 h. Km was added, and 100 μL of the cell suspension dispensed into each well of five 2 mL 96-well round bottom polypropylene plates (Axygen) containing 900 μL KB-Km liquid medium. The number of mutants per well was estimated by plating a serial dilution of the cell suspension onto LB-Km agar medium. The 96-well plates were covered with gas-permeable rayon sealing tape (Nunc) and cultured without shaking for 3 d. Following this culturing step, cells were gently re-suspended by pipetting, and 250 μL from all wells of each column or row of the five 96-well plates were pooled and stored at –20°C for future DNA extraction (i.e. a total of 12 pooled column [A1–H1, A2–H2, A3–H3, A4–H4, A5–H5, A6–H6, A7–H7, A8–H8, A9–H9, A10–H10, A11–H11 and A12–H12] and eight pooled row [A1–A12, B1–B12, C1–C12, D1–D12, E1–E12, F1–F12, G1–G12 and H1–H12] samples per plate). Next, 500 μL 60% v/v glycerol was added to each well (24% v/v final concentration) and mixed as above. Plates were covered with polyolefin sealing tape (Nunc) and stored at –80°C.
To generate the POI library (S2 Fig), Psa cells from a single electroporation were recovered at 50 rpm for 1 h. Recovered cells were diluted eight-fold into KB-Km liquid medium, plated onto LB-Km agar medium, and cultured for 3 d. Plates were stored at 4°C for a maximum of 5 d post electroporation. A total of 10,368 independent transposon mutants were picked into 108 450-μL 96-well polypropylene conical bottom plates (Nunc) containing 225 μL KB-Km liquid medium, and cultured without shaking for 2 d. Following this culturing step, 75 μL 60% v/v glycerol was added (15% v/v final concentration) and mixed by gentle pipetting. Plates were covered with polyolefin sealing tape and stored at –80°C.
GUS assay
To determine whether the GUS reporter in Psa transposon mutants was active, 96 independent mutants, representing a single 96-well plate from the POI library, were spotted (5 μL) onto LB-Km agar medium containing 100 μg/mL 5-Bromo-4-chloro-3-indolyl β-ᴅ-glucuronide (X-Glc), and cultured in the dark for 3 d.
Arbitrary PCR experiments
To identify the specific transposon insertion sites within the chromosomal or plasmid DNA of Psa mutants, a two-step arbitrary polymerase chain reaction (PCR) experiment was performed [27–29] (see S1 Methods and primers listed in S1 Table). To extract total DNA, independent transposon mutants from the POI library grown on KB-Km or LB-Km agar medium were picked into microcentrifuge tubes containing 100 μL sterile water, and heated to 95°C for 10 min. Cell debris was then collected by centrifugation at 16,000 × g for 1 min, and 1 μL of supernatant used as a template for arbitrary PCR step 1. Amplicons from arbitrary PCR step 2 were resolved by gel electrophoresis in 1% w/v agarose, purified using a NucleoSpin Gel and PCR Clean-up Kit (Macherey-Nagel), and sequenced at Macrogen Inc. (Korea) using the PF1212 primer (S1 Table). To determine the position of transposon insertion sites, nucleotide sequences were mapped to the Psa chromosome or plasmid DNA sequence using BLASTn [30], and visualized using Geneious R9 software [31].
Auxotroph screening
Psa mutants from eleven 96-well plates (1,056 individuals) of the POI library were replica-plated onto polystyrene OmniTrays (Nunc), the first containing M9-Km agar medium, and the second containing KB-Km agar medium. For this purpose, a hand-held 96-pin replicator tool (Nunc) was used, with the following sterilization protocol between library plates: 50% v/v bleach for 10 s, water for 15 s, 100% v/v ethanol for 10 s, and fan-dry for 30 s. All replica-plating was carried out in triplicate, with the OmniTrays cultured for 4 d. Psa mutants that grew only on KB-Km agar medium (complete auxotrophs), or strongly on KB-Km agar medium, but weakly on M9-Km agar medium (partial auxotrophs), were investigated further by arbitrary PCR and amplicon sequencing to identify the genes in these mutants disrupted by the transposon.
Motility screening
Psa mutants from eleven 96-well plates (1,056 individuals) of the POI library were inoculated into 450-μL 96-well polypropylene conical bottom plates containing 300 μL tryptone broth-Km medium (1% w/v tryptone, 0.5% w/v NaCl) using the 96-pin replicator tool, and cultured without shaking for 2 d. From these starter cultures, the mutants were inoculated as above into new 450-μL 96-well polypropylene conical bottom plates containing 300 μL tryptone broth-Km, and incubated as above overnight. Using the replicator tool, the mutants were then replica-plated in triplicate onto polystyrene OmniTrays, the first containing KB agar medium, and the second containing swimming agar medium (1% w/v tryptone, 0.5% w/v NaCl, 0.3% w/v agar), both supplemented with 25 μg/mL Km. Plates were cultured for 4 d. Mutants identified as non-swimmers (no swimming ring), poor-swimmers (minimal swimming ring), and super-swimmers (enlarged swimming ring) were investigated further by arbitrary PCR and amplicon sequencing to identify the genes in these mutants disrupted by the transposon. It is worth noting that mutants on the plate boundaries, including those at positions A1–A12, H1–H12, A1–H1 and A12–H12, which are surrounded by five rather than eight other mutants, were not considered in this experiment. It was reasoned that these mutants could be incorrectly identified as super-swimmers, since they likely experience fewer density-dependent restrictions on colony growth.
Colony morphology screening
Psa mutants with non-wild-type growth morphologies on LB-Km agar medium were identified by eye and under a Leica MZ12 stereoscopic microscope (Leica Microsystems). Arbitrary PCR, followed by amplicon sequencing, was then used to determine the specific transposon insertion sites within these mutants. Colony images were acquired with the Leica MZ12 stereoscopic microscope equipped with a Leica DFC 320 R2 digital camera. Images were processed using the Leica application suite v3.8.0. For storage, mutants were inoculated into 3 mL LB-Km liquid medium, and cultured overnight at 120 rpm. Following the addition of glycerol (15% v/v final volume), mutants were stored at –80°C.
Sequencing of the MOI library
For sequencing of the MOI library, a total of 60 pooled column and 40 pooled row samples, representing the entire library, were first subjected to total DNA extraction. The 100 samples, which were previously stored at –20°C (see above), were thawed and transferred to microcentrifuge tubes on ice. Cells were collected by centrifugation at 17,000 × g for 30 s, and the supernatant discarded. Total DNA was extracted using a Gentra Puregene Yeast/Bact. Kit for Gram-negative bacteria (Qiagen), but with the following modifications: (1) twice the recommended volume of Cell Lysis Solution, RNase A Solution, Protein Precipitation Solution, isopropanol, and ethanol was used; and (2) precipitated protein was collected by centrifugation for 8 min. From each of the DNA samples, 50 ng was combined in a single microcentrifuge tube (5 μg total), and the total volume made up to 50 μL using DNA Hydration Solution. With the exception of library amplification and purification (see below), the combined sample was then prepared for sequencing on the Illumina MiSeq platform by New Zealand Genomics Limited (NZGL; Centre for Genomics, Proteomics and Metabolomics, University of Auckland, New Zealand). DNA (5 μg) was fragmented to 300 bp using an M220 focused-ultrasonicator (Covaris). An Illumina TruSeq Nano library was then created with ~1 μg input DNA using a Tru-Seq DNA Low-Throughput (LT) PCR-Free Library Kit (Illumina). Library DNA was resolved by gel electrophoresis in 6% w/v polyacrylamide, and a band of ~500 bp excised and purified. A quality control assessment of the library was performed using a 2100 BioAnalyzer with a BioAnalyzer High Sensitivity (HS) DNA Analysis Kit (Agilent Technologies). Library amplification was carried out using JumpStart Taq DNA Polymerase (Sigma-Aldrich) with the Nextera_i5_Adapt_Tn-specific_5F/Cust_Illumina_Nextera_i7_Adap_Truseq_i5_Adap_V3.3_R primer pair (S1 Table), as per a previously published protocol [17]. PCR products were purified using the Agencourt AMPure XP PCR Purification System (Beckman Coulter), with elution in 30 μL sterile water. A second round of library quality control assessment was carried out by NZGL using both a BioAnalyzer HS DNA Analysis Kit and a Qubit dsDNA High Sensitivity (HS) Assay Kit (Thermo Fisher Scientific). Purified PCR products were sequenced on the Illumina MiSeq platform in a single 150-bp single-end run using the nested Cust_Seq_Tn-specific_5F primer (S1 Table).
Bioinformatic analysis of the MOI library
Illumina MiSeq reads were processed with AdapterRemoval (v1.5.4) [32] and prinseq-lite (v0.20.4), using the parameters ‘-fastq stdin -out_good stdout -out_bad null -min_len 30 -trim_tail_right 2 -trim_ns_right 1 -trim_qual_window 3 -trim_qual_right 30’ [33]. The resulting reads were mapped to the Psa genome [19] using the Bio::TraDIS toolkit [34], with parameters selected to increase the specificity (i.e. reduced false-positive rate) of the outputs. The command-line parameters used for this were: ‘bacteria_tradis -f fastqfiles -t 'ATAAATCTAGAGTCGACCTGCAGGCATGCAAGCTTCAGGGTTGAGATGTGTATAAGAGACAG' -r Psa-ICMP-reference-genome.fa—smalt_s 1—smalt_k 20—smalt_r 0—smalt_y 1.0 -mm 0 -v’. In brief, the toolkit trimmed the Tn-DS1028uidAKm transposon tags from reads in the input fastq files (the tag is specified with the “-t” parameter), and the remaining trimmed sequences were mapped to the Psa genome using the SMALT short read mapper [35]. SMALT indexed the Psa genome into words of length 20 (—smalt_k 20), with a step size of 1 (—smalt_s 1). A minimum identity threshold of 1.0 for each mapped read was used (—smalt_y 1.0), and the number of allowed mismatches was set to 0 (-mm 0). The tabular results were converted to the GFF file format and visualised in either Artemis [36] or Geneious [31]. Illumina MiSeq reads were deposited in the Sequence Read Archive (SRA) at the National Center for Biotechnology Information (NCBI) under BioProject and BioSample IDs PRJNA71845 and SAMN02727983, respectively.
Validation of the MOI library
To validate the MOI library, a mutant carrying a disruption in the IYO_023025 gene was targeted for identification and retrieval using a PCR screen, similar to that described by Holeva et al. [37]. The DNA from pooled column and row samples was screened for disruptions in the IYO_023025 gene by PCR using the PF1212/Common_LPS_R6 primer pair (S1 Table). PCRs were carried out with Platinum Taq DNA polymerase (Invitrogen), and in a final volume of 20 μL containing 20 ng pooled DNA template. PCR products were resolved by gel electrophoresis in 1% w/v agarose. Amplicons common to specific pooled column and row samples were purified and sequenced using the PF1212 primer to confirm transposon-mediated disruption of the IYO_023025 gene at the same site. Pooled column and row samples that gave amplicons with identical transposon insertion sites were used as coordinates to identify intersecting wells containing the IYO_023025 mutant. An aliquot of the identified well was diluted 3:100,000 into LB-Km liquid medium, mixed by inversion, plated (1 mL) onto large square culture dishes (Nunc) containing LB-Km agar medium, and cultured for 3 d. Independent colonies were picked into 2-mL 96-well round bottom polypropylene plates containing 235 μL KB-Km liquid medium, and cultured for 3 d. To identify columns and rows containing the IYO_023025 mutant, a second round of PCR screening was performed. Five-μL aliquots from each well of a given column or row were pooled into a PCR tube and the volume topped up to 100 μL with sterile water. At the same time, 75 μL 60% glycerol was added to each well of the four plates (15% v/v final concentration), mixed by gentle pipetting, covered with polyolefin sealing tape, and stored at –80°C. A crude DNA extraction, as described in the arbitrary PCR section, was performed on each pooled sample. Following extraction, 1 μL crude DNA extract was used as a template for PCR with the above-mentioned primers, and the products resolved by gel electrophoresis in 1% w/v agarose. Again, pooled column and row samples that gave amplicons with identical transposon insertion sites were used as coordinates to identify a shortlist of intersecting wells potentially containing the IYO_023025 mutant. Next, to determine which of the shortlisted wells contained the mutant, the 96-well plates were thawed, and 5 μL from each well of all positive column samples in the plate was inoculated into independent microcentrifuge tubes containing 1 mL KB-Km liquid medium, and cultured overnight at 120 rpm. A crude DNA extraction was performed as described above. A total of 1 μL crude DNA extract was used as a template for PCR with the above-mentioned primers. Amplicons from the positive wells were purified and confirmed as belonging to the IYO_023025 mutant by sequencing. Positively identified mutants were cultured on LB-Km agar medium for 3 d. IYO_023025 mutants were photographed as described above.
Results and discussion
Preliminary characterization of Psa mutants generated by transposon mutagenesis
As a starting point for transposon mutagenesis experiments involving Psa, the transformation efficiencies of two plasmids, pKRCPN1 and pKRCPN2, which carry the mini-Tn5-derived transposons Tn-DS1028uidAKm and Tn-DS1028lacZKm, respectively [23], were tested by electroporation. For pKRCPN1, fewer than five transformants/μg of DNA were consistently generated, while for pKRCPN2, this number routinely exceeded 25,000/μg. This observed discrepancy in transformation efficiency may have been due to the absence of restriction sites in pKRCPN2 DNA specific for the type I restriction modification system present in Psa [19]. Therefore, the use of pKRCPN1 was not pursued further.
Several lines of evidence suggested that the Tn-DS1028uidAKm transposon was inserting randomly into the Psa genome. The first was based on colony size during in vitro growth on LB agar medium. Colonies of wild-type (WT) Psa formed following electroporation in the absence of pKRCPN2 DNA were mostly uniform in size, although density-dependent differences were observed (Fig 1A). In contrast, the transposon mutants displayed variation in colony size (Fig 1A), suggesting that these observed differences in impaired growth were due to differences in the site of genome insertion by the transposon.
The second line of evidence supporting random transposon insertion was based on the finding that 96 independent Psa mutants exhibited varied levels of GUS activity on KB-Km agar medium containing X-Gluc (Fig 1B). GUS is an enzyme encoded by the promoter-less uidA gene on the transposon (S1 Fig), and varied uidA expression is dependent upon the specific location of transposon insertion within the Psa genome.
The third line of evidence supporting random transposon insertion was based on the integration sites of 32 independent, randomly chosen, Psa mutants by arbitrary PCR [28]. In this experiment, no PCR amplicons were generated from the WT DNA and DNA-free negative controls (Fig 1C). However, distinct PCR amplicon profiles were produced from the genomic DNA samples of all 32 independent mutants (Fig 1C). Sequencing of PCR amplicons from 12 randomly selected mutants revealed that each mutant carried only one transposon insertion site, and that this insertion site was unique (S2 Table).
Generation and validation of the POI library
A large library of mutants individually gridded into microtitre plates is an extremely useful tool for identifying phenotypes of interest associated with targeted functional screens [29, 38, 39]. To generate a phenotype of interest (POI) library, we gridded 10,368 randomly selected, independent Psa mutants into 96-well plates. The POI library was validated by screening two separate subsets of library plates, each comprising 1,056 mutants, on M9 agar medium and swimming agar medium for phenotypes associated with auxotrophy and altered motility, respectively. Seventeen putative complete or partial auxotrophic mutants, as well as eight mutants with potentially altered motility, were identified from these screens. A list of genes disrupted in these mutants, including the specific sites of transposon insertion, as determined by arbitrary PCR and amplicon sequencing, is shown in S2 Table.
A total of 13 genes were disrupted across the 17 putative auxotrophic mutants (S2 Table). An example of results obtained for the auxotrophic mutant screen is shown in Fig 2A, with a schematic of the disrupted genes shown in Fig 2B. Of the 13 genes identified, IYO_007210, IYO_008330, IYO_008720 and IYO_025960, which putatively encode the phosphoribosylformylglycinamidine synthase enzyme PurL (purine biosynthesis), the quinolinate synthase enzyme NadA (NAD biosynthesis), the phosphoribosylglycinamide formyltransferase enzyme PurN (purine biosynthesis), and the dihydroxy-acid dehydratase enzyme IIvD (valine, leucine, isoleucine, pantothenate and coenzyme A [CoA] biosynthesis), respectively, were disrupted twice in independent locations (S2 Table), supporting an essential role for these genes in the growth of Psa on M9 agar medium. In line with this result, auxotrophic mutants with disruptions in homologs of at least three of these genes, generated using a similar mini-Tn5-based transposon mutagenesis approach, have been identified in other Pseudomonas species [29, 40].
The nine remaining genes (IYO_001755, IYO_006345, IYO_006370, IYO_007710, IYO_008365, IYO_012780, IYO_025885, IYO_026305 and IYO_027710) were disrupted only once in the set of putative complete or partial auxotrophic mutants analyzed (S2 Table). Auxotrophic mutants in other Pseudomonas species with disruptions in homologs of at least two of these genes have been identified, including IYO_012780 [29, 40] and IYO_025885 [41, 42], which putatively encode the 3-isopropylmalate dehydratase enzyme LeuD (leucine biosynthesis) and the dihydroorotase enzyme PyrC (pyrimidine biosynthesis), respectively.
To validate the POI library further and demonstrate its utility for mutant identification, we also screened for motility phenotypes in soft agar under nutrient-rich conditions. Swimming mutants are of particular interest, as motility has been shown for many plant pathogens to be critical for host invasion and virulence [43–45]. Furthermore, a large number of flagellar and chemotaxis genes have been identified in other bacteria, thus providing internal controls for our experiment. From these screens, four transposon mutants displayed a non-swimming phenotype (Fig 3A and S2 Table). Arbitrary PCR and amplicon sequencing revealed that all four disruptions occurred in genes known to be associated with the flagellar apparatus (i.e. fliR, flhA, flgC and flgH) [46]. Flagella are important in swimming motility, biofilm formation, and swarming motility [47], and disruptions in flagella-related genes have been identified in motility screens of transposon mutagenesis libraries from other Pseudomonas [15, 29].
Our motility screen also identified several genes which have not been previously linked to motility. Two mutants with 'super-swimming' phenotypes were identified with disruptions in the IYO_020475 and IYO_024315 genes, respectively (Fig 3A and S2 Table). IYO_020475 encodes a homolog of PA3234, a probable sodium-solute symporter from P. aeruginosa PAO1 that has been linked to biofilm formation [48, 49], although a role in motility has not been previously reported. The other super-swimming mutant has a mutation in a gene (IYO_024315) that encodes a putative membrane protein TraG, which is required for F-pilus assembly [50], but again, a role in motility has not been previously identified. In addition to the super-swimmers, two weak-swimming mutants were identified that carry disruptions in the IYO_007210 and IYO_026350 genes, respectively (S2 Table). IYO_026350 encodes a hypothetical transpeptidase-transglycosylase. The weak motility phenotype observed for this mutant could be due to impaired flagella, as these enzymes are involved in making gaps in the peptidoglycan layer for the insertion of the flagellar apparatus [51]. Notably, IYO_026350 is co-located in the Psa genome with several flagella assembly genes. The other weak swimmer (P60-C4), which has a disruption in the IYO_007210 gene, and was also identified as part of the auxotroph screen described above, putatively encodes PurL, a phosphoribosylformylglycinamidine synthase enzyme involved in purine biosynthesis. The basis for the motility defect of this mutant is unclear; however, purine biosynthesis genes have been linked to motility and biofilm defects in other bacteria [52–54].
A subset of Psa transposon mutants were screened for unusual colony morphologies by eye and under a stereoscopic microscope. WT colonies were smooth, domed, and with the exception of their relatively narrow borders, largely opaque (Fig 4A). In contrast, nine mutants were rippled, flat, and typically possessed a larger transparent border (Fig 4A). This colony morphology is similar to the ‘Fuzzy-Spreader’ (FS) mutant phenotype reported for Pseudomonas fluorescens SBW25. Such FSs have loss-of-function mutations in pflu0478, which encodes a glycosyl transferase that is predicted to modify LPS O antigens [55, 56]. Most Psa colony morphology mutants also demonstrated a more pronounced central mass of cells. This is best illustrated by colonies of the P1-A2 mutant (Fig 4A). Arbitrary PCR followed by amplicon sequencing revealed that six of the mutants had disruptions in near-consecutive genes of the predicted common LPS biosynthesis pathway gene cluster, while one mutant was disrupted for a gene in the predicted core LPS biosynthesis pathway gene cluster (Fig 4B and 4C and S2 Table). LPS is synthesized from at least three distinct macromolecules, including lipid A, which is membrane associated, as well as the core and common polysaccharides. Additional highly variable isolate-specific decoration on the outer surface of the molecule may also occur [57]. Interestingly, the two remaining mutants, like the LPS mutant P1-A1, both contained disruptions in genes that putatively encode glycosyl transferases (S2 Table). However, neither of these genes forms part of the predicted core and common LPS biosynthesis pathway gene clusters shown in Fig 4C. As a consequence, our visual screen may have identified additional, as yet unannotated, genes involved in LPS biosynthesis in other regions of the Psa genome.
Generation and validation of the MOI library
As traditional gene knockout experiments in bacteria can be time-consuming (i.e. upwards of one month), we also generated a mutant of interest (MOI) library that can be used to recover desired mutants quickly. This library comprises around 96,000 independent mutants across five 96-well plates, with approximately 200 individuals per well. It has been indexed by taking genomic DNA samples from 60 pooled column and 40 pooled row samples (representing all columns and rows of the five 96-well plates), which can be screened by PCR to identify specific wells containing a mutant of interest. To catalogue the majority of transposon insertion sites (and thus mutants) within the library, it was sequenced on the Illumina MiSeq platform using a Transposon-Directed Insertion site Sequencing (TraDIS) approach [17, 18], with reads mapped to the Psa genome [19].
To demonstrate the utility of the MOI library, we set out to identify and retrieve a mutant disrupted in the IYO_023025 gene, which putatively encodes a GDP-6-deoxy-ᴅ-lyxo-4-hexulose reductase enzyme of the Psa common LPS biosynthesis pathway (S2 Table), using a PCR screen. IYO_023025 is located between the previously described LPS mutations in IYO_023020 and IYO_023030, and is 897 bp in length (Fig 4C). Importantly, 30 mutants disrupted for the IYO_023025 gene were identified in the MOI library by TraDIS read mapping, suggesting that the retrieval of such a mutant was possible. With this in mind, a primer pair comprising PF1212 (forward) and Common_LPS_R6 (reverse), which bind to the 3′ end of the transposon and 172 bp downstream of the IYO_023025 stop codon, respectively, was designed for use in the PCR screen. Using this primer pair, it was determined that, to detect a disruption in the IYO_023025 gene, the PCR amplicon size would need to be between 270 and 1,150 bp in length.
PCR was carried out on the 12 pooled column and eight pooled row samples from each of the five 96-well plates (100 pooled samples total). The aim was to identify amplicons of appropriate size, as described above, and of apparent equal size between a specific pooled column and row sample of a given MOI library plate. In this way, matching amplicons, or rather, pooled samples that produced matching amplicons, could be used to provide coordinates for the identification of specific wells carrying a mutant disrupted in the IYO_023025 gene. This is best illustrated in Fig 5, using MOI library plate 3 as an example. As shown in Fig 5A, several amplicons of appropriate size, and of apparent equal size between pooled column and row samples, were identified, including, for example, those boxed in green and red, respectively (Fig 5A). In these two cases, amplicon sequencing confirmed that both members of the pair corresponded to a disruption of the IYO_023025 gene at the same location. In total, 20 PCR amplicons generated from the collection of five 96-well library plates, representing 10 matching pairs between pooled column and row samples, were selected for sequencing in this experiment. Nine of the 10 matching pairs were able to be confirmed, with only one amplicon not corresponding to a disrupted IYO_023025 gene (S2 Table), highlighting the efficacy of this PCR screening methodology.
The pooled column and row samples corresponding to the matching amplicons boxed in green (row G, column 10) and red (row D, column 4) of MOI library plate 3 (Fig 5A) were used as coordinates to identify the intersecting wells P3-G10 and P3-D4 (Fig 5B), which, based on amplicon sequencing, contain a mutant with a disruption of the IYO_023025 gene at position 79 and 715, respectively (Fig 5C). Since the former is a 5′ gene disruption (i.e. the disrupted gene is less likely to produce a fully or partially functional product), the mutant carrying this disruption was preferentially targeted for retrieval. For this purpose, 384 independent colonies from well P3-G10 were transferred to four 96-well plates for culturing and PCR screening. Here, all columns and rows were pooled (48 and 32 pooled samples, respectively), DNA was extracted, and the samples screened for the mutant of interest carrying a disruption at position 79 of the IYO_023025 gene. As shown in Fig 5D, a total of three positive pooled column samples and five positive pooled row samples were identified in plate 2 (P2). This narrowed down the total number of possible positive wells in P2 that contained the mutant from 96 to 15 (positions A6, A8, A10, C6, C8, C10, D6, D8, D10, E6, E8, E10, G6, G8 and G10) (Fig 5E). DNA from all 15 wells was screened for the same disruption by PCR. A total of five wells (positions A10, C10, D8, E6 and G10) were positively identified as carrying the mutant disrupted for the IYO_023025 gene (Fig 5F), and the disruptions were confirmed by amplicon sequencing. Unlike the FS-like colony morphology of the LPS mutants identified in the visual screen, the IYO_023025 P3-G10 mutant had a phenotype much more like that of WT Psa and, for that matter, mutants P1-C2 and P1-A12 (compare Figs 4A and 5G). However, like the previously identified LPS mutants, P3-G10 was found to have a more rippled border than WT Psa (compare Figs 4A and 5G). This subtle phenotype probably explains why no mutants with a disruption in the IYO_023025 gene were identified in the visual screen.
Distribution of transposon insertion sites in the Psa genome
To determine the locations and frequencies of transposon insertion sites within the Psa chromosome and plasmid (which is single-copy), a conservative (or ‘specific’) TraDIS read mapping setting was used (S3 Table) [34]. Although the number of mapped insertions varied among this and another two settings (labelled ‘sensitive’ and ‘default’) (S3 Table), the subset of genes with insertions was identical in each case. This suggests that slight variations in sequence or alignment were responsible for differences in mapped insertions between the three settings. Importantly, all insertion sites determined experimentally through the sequencing of IYO_023025 PCR amplicons from the MOI library (S2 Table) were also identified using the specific setting. In total, 24,031 and 1,236 transposon insertion sites were mapped onto the chromosome and plasmid, respectively, giving average insertion frequencies of 3.65 (chromosome) and 16.6 (plasmid) per kb (S3 Table). Assuming a random distribution of transposon insertions and an average length of 1 kb per gene, the probability of finding a particular chromosomal gene of interest disrupted by transposon insertion is 97.5%. This would indicate that the library is near-saturated. The insertion pattern over the chromosome was slightly biased toward the origin and tapered to the terminus (S3 Fig). This bias was also observed in Salmonella, and is most likely due to the use of exponentially growing cells for electroporation [58]. These cells possess multiple replication forks resulting in genes closer to the origin of replication having a greater copy number thus increasing the chance of an insertion event [58]. Avoiding this sort of bias might be achieved by using stationary-phase or starved cells. We did not observe a strong sequence-specific preference or bias towards AT-rich regions. In fact, insertion sites were ~2% more GC-rich than the background, in contrast to the Mariner transposon [59], sequence-logos of these regions showed no motif or strong sequence preferences for the transposon (data not shown). As expected, visual inspection of insertion sites mapped onto the Psa genome revealed genes with multiple insertions and those with none. In the example shown in S4A Fig, genes with a function in replication (DnaA, DNA polymerase and DNA gyrase) have no insertions, while those that function in a predicted type I restriction modification system complex and RecF have many insertions. One would clearly expect that those genes involved in replication are essential, while those involved in restriction modification are not.
A frequency distribution of the insertion index for all genes (i.e. the number of inserts per gene divided by gene length) should theoretically reveal a bimodal distribution, with genes essential to growth having no (or very few) insertions, while those not essential for growth should possess insertions [17]. While previous results indicated that the transposon was inserting randomly in the Psa genome, the frequency distribution of the insertion index for all genes did not reveal a bimodal distribution. Only 47% of chromosomal genes possessed inserts, which was far fewer than expected from the calculation of the likelihood of random insertion into a particular gene. Previous studies have indicated that less than 5% of bacterial genes are essential [58]. Strikingly, many accessory genes in the Psa chromosome, particularly those under the control of the HrpL regulon had very few insertions (S4B Fig). Furthermore, the genes of the HrpL regulon are dispersed throughout the chromosome and are not clustered around the replication terminus which has a lower insertion index (S3 Fig).
An explanation for this result might be that histone-like nucleoid structuring (H-NS) or related proteins are protecting specific regions in the genome from insertion. It was predicted that nucleoid or other DNA-binding proteins might bias TraDIS analysis [34], and recently this has been experimentally demonstrated for H-NS in Vibrio cholerae [60]. Notably, the Psa genome has at least three H-NS orthologues (IYO_017020, IYO_021880 and IYO_015055). An alternative explanation may be that the topology or architecture of the chromosome sterically restricts transposon insertion [61]. It has recently been shown in the plant pathogen Dickeya dadantii that genes, present on different pathogenicity islands, involved in pectin degradation under the control of the KdgR regulon are potentially co-localized in an ‘archipelago’ [62]. Furthermore, the expression of these genes appears to be regulated by an H-NS orthologue [63].
In contrast to the chromosome pattern, the distribution of transposon insertion sites in the Psa plasmid showed less bias. Only five of the 78 predicted coding sequences had no inserts. One of these was a predicted antitoxin gene belonging to a RelE/ParE family plasmid stabilization system, which would be expected to be lethal. Significantly, HopAU1 had 22.8 insertions per kb, which was by far the most of any Psa type III effector. The discrepancy between the insertion pattern of the chromosome and plasmid may reflect differences in topology and protein-binding characteristics of the DNA. Certainly, as the plasmid is single-copy, a greater insertion frequency in this DNA type cannot be explained by copy number.
Conclusions
We have generated two mini-Tn5-based transposon mutant libraries of Psa. The utility of both libraries has been demonstrated through the discovery of new genes involved in motility (including those that give a super-swimming phenotype when disrupted), as well as in auxotrophy and LPS biosynthesis. The MOI library was predicted to be near saturation. However, 47% of chromosomal genes lacked insertions. Usually the number of essential genes represents about 5% of the genome. The observed discrepancy cannot be solely explained by the lack of insertions in essential genes, and surprisingly, many accessory genes such as those encoding type III effectors, which are clearly not essential for in vitro growth, lacked insertions. This may restrict the utility of these libraries for finding mutations in some genes, including those in pathogenicity. It has been demonstrated recently that H-NS proteins can protect genes from transposon insertion, as can the overall topology of the nucleoid. Strikingly, 94% of the plasmid genes, including the type III effector HopAU1, had multiple insertions. These results suggest that H-NS proteins and chromosome architecture might regulate the expression of the accessory genome in Psa.
Supporting information
Acknowledgments
We thank Tim Lawrence and Liam Williams at NZGL for preparation and sequencing of the Illumina MiSeq MOI Psa transposon mutagenesis library, as well as Drs Andrew Gleave and Andrew Pitman of The New Zealand Institute for Plant & Food Research Limited for critically reviewing the manuscript. We thank George Salmond and Kevin Roberts for providing pKRCPN2 DNA. We also thank Elizabeth Prentice, a former summer student in the laboratories of Peter Fineran, Monica Gerth and Wayne Patrick, for carrying out preliminary Psa transposon mutagenesis and arbitrary PCR experiments, as well as the Manawatu Microscopy and Imaging Centre (MMIC) for use of their microscopy equipment.
Data Availability
All sequence read files are available from the SRA database (accession number SRX2270928).
Funding Statement
This project was supported by the New Zealand Tertiary Education Commission Centre of Research excellence (CoRE) grant to the Bio-Protection Research Centre (BPRC). PCF and PPG were also supported by Rutherford Discovery Fellowships from the Royal Society of New Zealand.
References
- 1.Baltrus DA, Nishimura MT, Romanchuk A, Chang JH, Mukhtar MS, Cherkis K, et al. Dynamic evolution of pathogenicity revealed by sequencing and comparative genomics of 19 Pseudomonas syringae isolates. PLOS pathogens. 2011;7(7):e1002132 Epub 2011/07/30. PubMed Central PMCID: PMCPMC3136466. 10.1371/journal.ppat.1002132 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Monteil CL, Cai R, Liu H, Mechan Llontop ME, Leman S, Studholme DJ, et al. Nonagricultural reservoirs contribute to emergence and evolution of Pseudomonas syringae crop pathogens. New Phytologist. 2013;199(3):800–11. Epub 2013/05/23. 10.1111/nph.12316 [DOI] [PubMed] [Google Scholar]
- 3.Young JM. Taxonomy of Pseudomonas syringae. Journal of Plant Pathology. 2010;92(1):S5–S14. [Google Scholar]
- 4.Serizawa S, Ichikawa T, Takikawa Y, Tsuyumu S, Goto M. Occurrence of bacterial canker of kiwifruit in Japan: Description of symptoms, isolation of the pathogen and screening of bactericides. Japanese Journal of Phytopathology. 1989;55(4):427–36. [Google Scholar]
- 5.Takikawa Y, Serizawa S, Ichikawa T, Tsuyumu S, Goto M. Pseudomonas syringae pv. actinidiae pv. nov. the causal bacterium of canker of kiwifruit in Japan. Japanese Journal of Phytopathology. 1989;55(4):437–44. [Google Scholar]
- 6.Koh YJ, Cha BJ, Chung HJ, Lee DH. Outbreak and spread of bacterial canker in kiwifruit. Korean Journal of Plant Pathology. 1994;10:68–72. [Google Scholar]
- 7.Everett KR, Taylor RK, Romberg MK, Rees-George J, Fullerton RA, Vanneste JL, et al. First report of Pseudomonas syringae pv. actinidiae causing kiwifruit bacterial canker in New Zealand. Australasian Plant Disease Notes. 2011;6(1):67–71. [Google Scholar]
- 8.McCann HC, Rikkerink EH, Bertels F, Fiers M, Lu A, Rees-George J, et al. Genomic analysis of the kiwifruit pathogen Pseudomonas syringae pv. actinidiae provides insight into the origins of an emergent plant disease. PLOS pathogens. 2013;9(7):e1003503 PubMed Central PMCID: PMC3723570. 10.1371/journal.ppat.1003503 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Vanneste JL, Yu J, Cornish DA, Tanner DJ, Windner R, Chapman JR, et al. Identification, virulence, and distribution of two biovars of Pseudomonas syringae pv. actinidiae in New Zealand. Plant Disease. 2012;97(6):708–19. [DOI] [PubMed] [Google Scholar]
- 10.Butler MI, Stockwell PA, Black MA, Day RC, Lamont IL, Poulter RTM. Pseudomonas syringae pv. actinidiae from recent outbreaks of kiwifruit bacterial canker belong to different clones that originated in China. PLOS One. 2013;8(2):18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Mazzaglia A, Studholme DJ, Taratufolo MC, Cai RM, Almeida NF, Goodman T, et al. Pseudomonas syringae pv. actinidiae (PSA) isolates from recent bacterial canker of kiwifruit outbreaks belong to the same genetic lineage. PLOS One. 2012;7(5):11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fujikawa T, Sawada H. Genome analysis of the kiwifruit canker pathogen Pseudomonas syringae pv. actinidiae biovar 5. Scientific Reports. 2016;6:21399 http://www.nature.com/articles/srep21399#supplementary-information. 10.1038/srep21399 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Marcelletti S, Ferrante P, Petriccione M, Firrao G, Scortichini M. Pseudomonas syringae pv. actinidiae draft genomes comparison reveal strain-specific features involved in adaptation and virulence to Actinidia species. PLOS One. 2011;6(11):17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hayes F. Transposon-based strategies for microbial functional genomics and proteomics. Annual Review of Genetics. 2003;37(1):3–29. [DOI] [PubMed] [Google Scholar]
- 15.Manoharan B, Neale HC, Hancock JT, Jackson RW, Arnold DL. The identification of genes important in Pseudomonas syringae pv. phaseolicola plant colonisation using in vitro screening of transposon libraries. PLOS One. 2015;10(9):e0137355 PubMed Central PMCID: PMCPMC4556710. 10.1371/journal.pone.0137355 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Yan Q, Wang N. High-throughput screening and analysis of genes of Xanthomonas citri subsp. citri involved in citrus canker symptom development. Molecular Plant-Microbe Interactions. 2011;25(1):69–84. [DOI] [PubMed] [Google Scholar]
- 17.Langridge GC, Phan M-D, Turner DJ, Perkins TT, Parts L, Haase J, et al. Simultaneous assay of every Salmonella Typhi gene using one million transposon mutants. Genome Research. 2009;19(12):2308–16. 10.1101/gr.097097.109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.van Opijnen T, Camilli A. Transposon insertion sequencing: a new tool for systems-level analysis of microorganisms. Nature Reviews Microbiology. 2013;11(7):435–42. 10.1038/nrmicro3033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Templeton MD, Warren BA, Andersen MT, Rikkerink EHA, Fineran PC. Complete DNA sequence of Pseudomonas syringae pv. actinidiae, the causal agent of kiwifruit canker disease. Genome Announcements. 2015;3(5). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.King EO, Ward MK, Raney DE. Two simple media for the demonstration of pyocyanin and fluorescin. Translational Research. 1954;44(2):301–7. [PubMed] [Google Scholar]
- 21.Sambrook J, Russell DW. Molecular cloning: a laboratory manual. 3rd edition ed2001. [Google Scholar]
- 22.Chapman JR, Taylor RK, Weir BS, Romberg MK, Vanneste JL, Luck J, et al. Phylogenetic relationships among global populations of Pseudomonas syringae pv. actinidiae. Phytopathology. 2012;102(11):1034–44. 10.1094/PHYTO-03-12-0064-R [DOI] [PubMed] [Google Scholar]
- 23.Monson R, Smith DS, Matilla MA, Roberts K, Richardson E, Drew A, et al. A plasmid-transposon hybrid mutagenesis system effective in a broad range of Enterobacteria. Frontiers in Microbiology. 2015;6:1442 PubMed Central PMCID: PMC4686594. 10.3389/fmicb.2015.01442 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Patterson AG, Chang JT, Taylor C, Fineran PC. Regulation of the Type I-F CRISPR-Cas system by CRP-cAMP and GalM controls spacer acquisition and interference. Nucleic Acids Research. 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Larsen RA, Wilson MM, Guss AM, Metcalf WW. Genetic analysis of pigment biosynthesis in Xanthobacter autotrophicus Py2 using a new, highly efficient transposon mutagenesis system that is functional in a wide variety of bacteria. Archives of Microbiology. 2002;178(3):193–201. 10.1007/s00203-002-0442-2 [DOI] [PubMed] [Google Scholar]
- 26.Choi K-H, Kumar A, Schweizer HP. A 10-min method for preparation of highly electrocompetent Pseudomonas aeruginosa cells: Application for DNA fragment transfer between chromosomes and plasmid transformation. Journal of Microbiological Methods. 2006;64(3):391–7. 10.1016/j.mimet.2005.06.001 [DOI] [PubMed] [Google Scholar]
- 27.Evans TJ, Ind A, Komitopoulou E, Salmond GP. Phage-selected lipopolysaccharide mutants of Pectobacterium atrosepticum exhibit different impacts on virulence. Journal of Applied Microbiology 2010;109(2):505–14. 10.1111/j.1365-2672.2010.04669.x [DOI] [PubMed] [Google Scholar]
- 28.Fineran PC, Everson L, Slater H, Salmond GPC. A GntR family transcriptional regulator (PigT) controls gluconate-mediated repression and defines a new, independent pathway for regulation of the tripyrrole antibiotic, prodigiosin, in Serratia. Microbiology. 2005;151(12):3833–45. [DOI] [PubMed] [Google Scholar]
- 29.Jacobs MA, Alwood A, Thaipisuttikul I, Spencer D, Haugen E, Ernst S, et al. Comprehensive transposon mutant library of Pseudomonas aeruginosa. Proceedings of the National Academy of Sciences. 2003;100(24):14339–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Research. 1997;25(17):3389–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, et al. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28(12):1647–9. 10.1093/bioinformatics/bts199 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Lindgreen S. AdapterRemoval: easy cleaning of next-generation sequencing reads. BMC Research Notes. 2012;5:337 PubMed Central PMCID: PMCPMC3532080. 10.1186/1756-0500-5-337 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Schmieder R, Edwards R. Quality control and preprocessing of metagenomic datasets. Bioinformatics. 2011;27(6):863–4. PubMed Central PMCID: PMCPMC3051327. 10.1093/bioinformatics/btr026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Barquist L, Mayho M, Cummins C, Cain AK, Boinett CJ, Page AJ, et al. The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries. Bioinformatics. 2016;32(7):1109–11. PubMed Central PMCID: PMCPMC4896371. 10.1093/bioinformatics/btw022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Ponstingl H, Ning Z. SMALT-a new mapper for DNA sequencing reads. F1000 Posters. 2010;1:313. [Google Scholar]
- 36.Carver T, Harris SR, Berriman M, Parkhill J, McQuillan JA. Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data. Bioinformatics. 2012;28(4):464–9. PubMed Central PMCID: PMCPMC3278759. 10.1093/bioinformatics/btr703 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Holeva MC, Bell KS, Hyman LJ, Avrova AO, Whisson SC, Birch PR, et al. Use of a pooled transposon mutation grid to demonstrate roles in disease development for Erwinia carotovora subsp. atroseptica putative type III secreted effector (DspE/A) and helper (HrpN) proteins. Molecular Plant Microbe Interactions. 2004;17(9):943–50. 10.1094/MPMI.2004.17.9.943 [DOI] [PubMed] [Google Scholar]
- 38.Laia ML, Moreira LM, Dezajacomo J, Brigati JB, Ferreira CB, Ferro MI, et al. New genes of Xanthomonas citri subsp. citri involved in pathogenesis and adaptation revealed by a transposon-based mutant library. BMC Microbiology. 2009;9(1):1–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Liberati NT, Urbach JM, Miyata S, Lee DG, Drenkard E, Wu G, et al. An ordered, nonredundant library of Pseudomonas aeruginosa strain PA14 transposon insertion mutants. Proceedings of the National Academy of Sciences. 2006;103(8):2833–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Molina-Henares MA, de la Torre J, Garcia-Salamanca A, Molina-Henares AJ, Herrera MC, Ramos JL, et al. Identification of conditionally essential genes for growth of Pseudomonas putida KT2440 on minimal medium through the screening of a genome-wide mutant library. Environmental Microbiology. 2010;12(6):1468–85. 10.1111/j.1462-2920.2010.02166.x [DOI] [PubMed] [Google Scholar]
- 41.Chu CP, West TP. Pyrimidine biosynthetic pathway of Pseudomonas fluorescens. Microbiology. 1990;136(5):875–80. [DOI] [PubMed] [Google Scholar]
- 42.Santiago MF, West TP. Control of pyrimidine formation in Pseudomonas putida ATCC 17536. Canadian Journal of Microbiology. 2002;48(12):1076–81. [DOI] [PubMed] [Google Scholar]
- 43.Kroupitski Y, Pinto R, Brandl MT, Belausov E, Sela S. Interactions of Salmonella enterica with lettuce leaves. Journal of Applied Microbiology. 2009;106(6):1876–85. 10.1111/j.1365-2672.2009.04152.x [DOI] [PubMed] [Google Scholar]
- 44.Río-Álvarez I, Muñoz-Gómez C, Navas-Vásquez M, Martínez-García PM, Antúnez-Lamas M, Rodríguez-Palenzuela P, et al. Role of Dickeya dadantii 3937 chemoreceptors in the entry to Arabidopsis leaves through wounds. Molecular Plant Pathology. 2015;16(7):685–98. 10.1111/mpp.12227 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Yao J, Allen C. Chemotaxis is required for virulence and competitive fitness of the bacterial wilt pathogen Ralstonia solanacearum. Journal of Bacteriology. 2006;188(10):3697–708. 10.1128/JB.188.10.3697-3708.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Liu R, Ochman H. Stepwise formation of the bacterial flagellar system. Proceedings of the National Academy of Sciences. 2007;104(17):7116–21. PubMed Central PMCID: PMCPMC1852327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Guttenplan SB, Kearns DB. Regulation of flagellar motility during biofilm formation. FEMS Microbiology Reviews. 2013;37(6):849–71. PubMed Central PMCID: PMCPMC3718880. 10.1111/1574-6976.12018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.de la Fuente-Nunez C, Korolik V, Bains M, Nguyen U, Breidenstein EB, Horsman S, et al. Inhibition of bacterial biofilm formation and swarming motility by a small synthetic cationic peptide. Antimicrobial Agents and Chemotherapy. 2012;56(5):2696–704. PubMed Central PMCID: PMCPMC3346644. 10.1128/AAC.00064-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Whiteley M, Bangera MG, Bumgarner RE, Parsek MR, Teitzel GM, Lory S, et al. Gene expression in Pseudomonas aeruginosa biofilms. Nature. 2001;413(6858):860–4. 10.1038/35101627 [DOI] [PubMed] [Google Scholar]
- 50.Firth N, Skurray R. Characterization of the F plasmid bifunctional conjugation gene, traG. Molecular and General Genetics. 1992;232(1):145–53. [DOI] [PubMed] [Google Scholar]
- 51.Scheurwater EM, Burrows LL. Maintaining network security: how macromolecular structures cross the peptidoglycan layer. FEMS Microbiology Letters. 2011;318(1):1 10.1111/j.1574-6968.2011.02228.x [DOI] [PubMed] [Google Scholar]
- 52.Clemmer KM, Bonomo RA, Rather PN. Genetic analysis of surface motility in Acinetobacter baumannii. Microbiology. 2011;157(Pt 9):2534–44. PubMed Central PMCID: PMCPMC3352170. 10.1099/mic.0.049791-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Guo Q, Wei Y, Xia B, Jin Y, Liu C, Pan X, et al. Identification of a small molecule that simultaneously suppresses virulence and antibiotic resistance of Pseudomonas aeruginosa. Scientific Reports. 2016;6:19141 10.1038/srep19141 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Yoshioka S, Newell PD. Disruption of de novo purine biosynthesis in Pseudomonas fluorescens Pf0-1 leads to reduced biofilm formation and a reduction in cell size of surface-attached but not planktonic cells. PeerJ. 2016;4:e1543 10.7717/peerj.1543 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Ferguson GC, Bertels F, Rainey PB. Adaptive divergence in experimental populations of Pseudomonas fluorescens. Insight into the niche specialist Fuzzy Spreader compels revision of the model Pseudomonas radiation. Genetics. 2013;195(4):1319 10.1534/genetics.113.154948 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Rainey PB, Travisano M. Adaptive radiation in a heterogeneous environment. Nature. 1998;394(6688):69–72. 10.1038/27900 [DOI] [PubMed] [Google Scholar]
- 57.King JD, Kocincova D, Westman EL, Lam JS. Review: Lipopolysaccharide biosynthesis in Pseudomonas aeruginosa. Innate Immunity. 2009;15(5):261–312. 10.1177/1753425909106436 [DOI] [PubMed] [Google Scholar]
- 58.Barquist L, Langridge GC, Turner DJ, Phan MD, Turner AK, Bateman A, et al. A comparison of dense transposon insertion libraries in the Salmonella serovars Typhi and Typhimurium. Nucleic Acids Research. 2013;41(8):4549–64. PubMed Central PMCID: PMCPMC3632133. 10.1093/nar/gkt148 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.DeJesus MA, Gerrick ER, Xu W, Park SW, Long JE, Boutte CC, et al. Comprehensive essentiality analysis of the Mycobacterium tuberculosis genome via saturating transposon mutagenesis. MBio. 2017;8(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Kimura S, Hubbard TP, Davis BM, Waldor MK. The nucleoid binding protein H-NS biases genome-wide transposon insertion landscapes. mBio. 2016;7(4). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Cagliero C, Grand RS, Jones MB, Jin DJ, O’Sullivan JM. Genome conformation capture reveals that the Escherichia coli chromosome is organized by replication and transcription. Nucleic Acids Research. 2013;41(12):6058–71. 10.1093/nar/gkt325 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Bouyioukos C, Reverchon S, Kepes F. From multiple pathogenicity islands to a unique organized pathogenicity archipelago. Scientific Reports. 2016;6:27978 PubMed Central PMCID: PMCPMC4908373. 10.1038/srep27978 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Zghidi-Abouzid O, Herault E, Rimsky S, Reverchon S, Nasser W, Buckle M. Regulation of pel genes, major virulence factors in the plant pathogen bacterium Dickeya dadantii, is mediated by cooperative binding of the nucleoid-associated protein H-NS. Research in Microbiolgy. 2016;167(4):247–53. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All sequence read files are available from the SRA database (accession number SRX2270928).