https://orcid.org/0000-0001-9788-8947
Figures
Abstract
Bacterial protein secretion is crucial to the maintenance of viability and pathogenicity. Although many bacterial secretion systems have been identified, the underlying mechanisms regulating their expression are less well explored. Yersinia entomophaga MH96, an entomopathogenic bacterium, releases an abundance of proteins including the Yen-Tc into the growth medium when cultured in Luria Bertani broth at ≤ 25°C. Through the development of a high-throughput exoproteome screening assay (HESA), genes involved in MH96 exoprotein production were identified. Of 4,080 screened transposon mutants, 34 mutants exhibited a decreased exoprotein release, and one mutation located in the intergenic region of the Yen-Tc operon displayed an elevated exoprotein release relative to the wild-type strain MH96. DNA sequencing revealed several transposon insertions clustered in gene regions associated with lipopolysaccharide (LPSI and LPSII), and N-acyl-homoserine lactone synthesis (quorum sensing). Twelve transposon insertions were located within transcriptional regulators or intergenic regions. The HESA will have broad applicability for identifying genes associated with exoproteome production in a range of microorganisms.
Citation: Schoof M, O’Callaghan M, Sheen CR, Glare TR, Hurst MRH (2022) Identification of genes involved in exoprotein release using a high-throughput exoproteome screening assay in Yersinia entomophaga. PLoS ONE 17(1): e0263019. https://doi.org/10.1371/journal.pone.0263019
Editor: Benjamin J. Koestler, Western Michigan University, UNITED STATES
Received: August 10, 2021; Accepted: January 10, 2022; Published: January 25, 2022
Copyright: © 2022 Schoof et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: This work was supported by the Ministry of Business, Innovation and Employment, New Zealand (Next Generation Bio-pesticides, grant number C10X1310), Callaghan Innovation R&D fellowship grant and received support from the Bio-Protection Research Centre.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Bacteria secrete proteins into the extracellular milieu to interact with the environment as a result of external or internal stimuli. Protein secretion over the protective lipid bilayer in Gram-negative bacteria occurs through various mechanisms ranging from simple protein channels and pores through to more complex multicomponent secretion systems, including the Type 1–9 secretion systems (T1-9SS) [1, 2] and a recently suggested T10SS [3]. Indirect mechanisms such as cell lysis [4, 5] or the release of membrane vesicles (MV) [6–8] have also been reported. Secretion systems are often specific to particular proteins and are triggered under certain conditions. While many secretion systems are well characterized, studies examining the mechanisms underpinning global protein secretion are limited to bioinformatic [9–11] or transcriptomic [12] assessments. Secretion assays are typically tailored to a specific protein of interest and involve the use of antibody-based detection methods such as enzyme-linked immunosorbent assays (ELISAs) or Western blotting [13–15]. Alternative strategies include indirect methods, such as assessment of bacterial mutants for alterations in the secretion of a range of degradative enzymes, including proteases, lipases, and chitinases, using agar plate-based halo assays [16–18]. Other methods are tailored to certain secretion pathways where, for example, TnPhoA reporters were used to detect Type 1 secretion proteins [19, 20]. High-throughput methods, such as 2-D gel electrophoresis [21, 22] and mass spectrometry [23] have been used to characterize the entire exoproteome. However, there are currently no assays allowing the identification of genes involved in the release of exoproteins.
The entomopathogenic bacterium Yersinia entomophaga MH96 (Yersiniaceae) is active against a wide range of economically important insect pests, including species belonging to the orders Coleoptera, Lepidoptera, and Orthoptera [24]. In Luria Bertani (LB) broth (Miller) at ≤ 25°C, MH96 releases a wide range of proteins, including the main insect-active toxin complex (Tc), Yen-Tc [25]. In silico assessment of the MH96 genome identified a range of putative secretion systems likely to play a role in insect virulence [26]. These include two Type 3 secretion systems (T3SSY1 and T3SSY2), cell-surface adhesion proteins such as fimbria or pili, a T2SS, and a T4SS [26]. In addition to the Yen-Tc, the MH96 genome encodes a range of putative toxins (Vip2, CdtB, LopT, PirAB), as well as degradative enzymes such as proteases, chitinases, esterases, and lipases [26] that must pass through the cell membrane to be effective.
The regulation of exoprotein release can be triggered by contact with host organisms and/or environmental factors, including temperature, pH, or stress factors such as oxygen or nutrient deprivation [27, 28]. Tight regulation of gene expression in response to these stimuli allows adaption and reaction to environmental changes. In this study a High-throughput Exoproteome Screening Assay (HESA) was developed to identify genes involved in the release of proteins into the extracellular matrix. Herein the exoproteome is defined as the concentration and content of proteins released via active transport using secretion systems such as T1- 9SS and MVs, proteins indirectly released by cell lysis [29]. Using this assay, a Yersinia entomophaga region of exoprotein release (YeRER) was identified.
Materials and methods
Bacterial cultures
All strains used and constructed in this study are listed in S1 Table of S1 File. Escherichia coli strains were grown at 37°C, while MH96 strains were grown at 25°C in Luria Bertani (Miller base) broth or on LB agar plates. Unless stated, cultures were incubated with shaking at 250 rpm in a Ratek model OM11 orbital incubator. The E. coli strain ST18 culture medium was supplemented with 50 μg/mL 5-aminolevulinic acid. The following antibiotic concentrations were used (μg/mL) for each bacterium: MH96 transposon mutant strains kanamycin (100); and E. coli kanamycin (50), and DH10β pGEM-derivates ampicillin (100). Cells were either grown as 50-mL cultures in 250-mL flasks, or in 1-mL volumes in 96 deep-well plates.
Growth curve analysis
To determine the MH96 growth rate over 24 h, 50-mL cultures were sampled each hour for the first 12 h and then every second hour from 12–24 h to measure optical density spectrophotometrically at 600 nm (SmartSpecTMPlus, BioRad) and to enumerate colony forming units (CFU) by serial dilution plating on LB agar. To measure CFUs, a dilution series of the culture broth was undertaken using 0.01 M phosphate-buffered saline (PBS, 0.13 8M NaCl, 0.002 7M KCl, pH 7.4, Sigma-Aldrich, Merck, Darmstadt, Germany). Replicate samples at each time point were used and the appropriate dilutions were plated on LB agar. For OD600 > 1, the cell culture was diluted at 1:10 and measured again.
Exoprotein assessments
In this study the exoproteome is defined as the sum of all proteins in the culture supernatant after centrifugation (2,200 × g in 96-well plates or 5,000 × g of 50-mL cultures for 15 min).
To analyse the exoproteome profile of each of the HESA transposon mutants, the 96 deep-well plates of cell cultures were centrifuged at 2,200 × g (15 min) to seperate the supernatant and cell pellets. The relative size of each centrifuged cell pellet was visually compared with that of strain MH96, and strains showing impaired growth (smaller cell pellet) were omitted from subsequent screens.
To define exoprotein concentrations the supernatant was assessed by Bradford assay using the Protein Assay Kit (BioRad) following the manufacturer’s instructions [30]. A volume of 12 μL of the supernatant was removed from each well and mixed with 220 μL of dye reagent from the Protein Assay Kit in a 96-well microtiter plate and absorbance (595 nm) was measured in a FLUOstar OPTIMA plate reader (BMG LABTECH). Protein concentration was determined by comparing results against a standard curve generated using known concentrations of bovine serum albumin (BSA) (0–500 mg/mL) diluted in LB broth.
Mutants with a similar sized cell pellet but different exoproteome concentration relative to MH96 as determined through modified Bradford assay were further examined by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) using 50-mL cultures.
To assess exoproteins of 50-mL cultures grown for 1h, 1 mL of the culture was transferred into a 1.7 mL microcentrifuge tube and the sample pelleted at 5,000 × g for 15 min. The supernatant was removed and filter-sterilised using a 0.22-μm polyvinylidene fluoride syringe filter (Merck, Darmstadt, Germany). The cell pellet was resuspended in 1 mL of MilliQ water and diluted in 1:10 in water. Supernatants were then used for Bradford assay as described above and for standard SDS-PAGE which was performed as described by Laemmli [31]. Proteins were visualized by silver staining according to Blum et al. [32].
Transposon mutagenesis
Escherichia coli strain ST18 transformed with pKRCPN2 (encoding the miniTn5-derived transposon Tn-DS1028uidAKm) was conjugated to MH96 as outlined by Mesarich et al. [33]. The bacteria were then plated on LB agar plates supplemented with 100 μg/mL kanamycin selective for Tn-DS1028uidAKm.
DNA isolation, manipulation, and sequencing
Standard DNA techniques were performed as described in Sambrook et al. [34]. Genomic DNA was isolated using PrepMan Ultra Sample Preparation Reagent (Thermo Fisher). PCR amplicons were purified using a High Pure PCR Product Purification Kit (Roche). As described by Mesarich et al. [35], the purified genomic DNA, nested primer and a random primer were used in arbitrary PCR. Amplicons were ligated into the pGEM plasmid using the pGEM T-Easy Kit (Promega, Madison, WI). Plasmid DNA was isolated using a High Pure Plasmid Isolation Kit (Roche) and quantified using NanoDrop2000 Spectrometer (ThermoScientific). The inserted sequence was validated with primer M13F (5’ GTAAAACGACGGCCAGT 3’) and M13R (5’ GCGGATAACAATTTCACACAGG 3’) using Macrogen Sequencing Services (Macrogen Inc., Seoul, Republic of Korea).
Sequence assembly and bioinformatic analysis
DNA sequences were trimmed and aligned against the genome of strain MH96 (GenBank accession number NZ_CP010029.1) using the Map to Reference function of Geneious 10.0.9 [36]. Protein function prediction was performed using the Protein Fold Recognition Server PHYRE2 (http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index). Amino acid sequences in FASTA format were uploaded to the PHYRE2 webpage and run with default settings. For further functional protein predictions, the protein sequence was analysed using BLASTP (https://blast.ncbi.nlm.nih.gov/Blast.cgi) with default settings. The COG categories were assigned using the standalone COG software [37].
Results
Defining the point of measurable exoprotein release in MH96
To understand protein secretion in MH96, we first investigated the correlation between cell growth and exoprotein release. Assessment of the 50-mL cell culture from 1–24 h post-inoculation (hpi) showed an exponential increase from 5.0 × 107 to 7.0 × 108 CFUs between 3–8 h. Cell density peaked at 5.7 × 109 CFU/mL (OD600, 6), at 14 hpi (Fig 1D). Using the Bradford assay to measure protein concentration in the supernatants, initial exoprotein of 42.9 ± 9 μg/mL was detected at 11 hpi (4.4 × 109 CFU/mL) and increased over time, reaching 364.9 ± 20 μg/mL at 24 hpi (5.4 × 109 CFU/mL) (Fig 1A and 1B). Assessment of culture supernatants by SDS-PAGE revealed the presence of exoprotein as early as 5 hpi (Fig 1C). Based on this information, it was determined that the optimal timeframe for collection and analysis of exoprotein content in MH96 LB broth cultures by Bradford assay was at 16 hpi (OD600 = 5.5) with exoprotein levels of ~ 317 μg/mL.
(A) Photograph of a Bradford assay conducted in a 96-well microtiter plate. Wells contained 50 μL of culture supernatant collected at 1–24 hpi and 48 hpi. Each timepoint (white numbers) was measured in triplicate (black solid boxes). The dashed black box indicates uninoculated LB broth blanks. The red-to-white gradient box indicates BSA concentrations (400, 300, 200, 150, 100, 75, 50, 25, and 0 μg/mL) used to generate a standard curve in B. Red star denotes the time point at which exoprotein was detectable (0.2 μg/mL) by Bradford assay. (B) Protein standard curve calculated using the BSA concentrations as indicated in A. (C) Silver stained SDS-PAGE of the culture supernatants assessed at the listed time points. Indicated are protein bands of the Yen-TC (arrows) [25, 38]. M, denotes Bio-Rad broad range marker with molecular weights (kDa). (D) Growth curve and protein secretion of MH96 cultured at 25°C and 200 rpm over 24 h. OD600 (●), CFU (), and protein concentration (
), as measured from the 96-well microtiter plate in (A), were assessed at the indicated time points. Protein concentrations were calculated using the standard curve in (B). Data are presented as the mean ± standard deviation. A,B,C) Red asterisk denotes sample where initial exoprotein release was measured.
In preparation for the HESA, we first validated that the cell density of MH96 50-mL LB broth cultures correlated with cell numbers of cultures grown in 96-well plates at timepoints of exoprotein release. At 16 hpi the MH96 culture incubated in a 96-well plate reached 2.4 × 109 CFU/mL with an exoproteome concentration of 277 μg/mL compared to 5.2 × 109 CFU/mL with exoproteome concentration of 242 μg/mL of 50 mL culture grown in a 250-mL shake flask. The similar cell growth at 16 h between 50-mL cell cultures and 96-deep well culture numbers validates the use of the 96-deep well culture plates in the HESA.
The high-throughput exoprotein screening assay (HESA)
To determine genes involved in exoprotein release, the exoproteome of random transposon mutants were assessed in a 5-step screening assay as outlined in Fig 2.
Step 1: Construction of a transposon mutant library by conjugation of E. coli pKRCPN2 (Tn5-harboring plasmid) with MH96. Step 2: Eighty random mutants per transformation event were patched onto a selective LB agar plate. The same tip was used to inoculate a single well of a 96-well plate, which was incubated at 25°C and 200 rpm for 24 h. Step 3: Following centrifugation at 2,200 × g for 15 min, 12 μL of the supernatant were transferred to a 96-well plate for exoprotein quantification by Bradford assay. Non-secreting mutants were distinguishable by less blue coloration in the assay (indicated as a yellow well). All putative secretion-altered mutants were re-assessed using the protein assay (Steps 2–3) and subsequently stored. Step 4: Mutants with an altered secretion profile were then validated through SDS-PAGE assessment of the exoprotein content derived from 50-mL LB broth cultures at 16 hpi. Step 5: Transposon insertion points within the genomes of non-secreting mutants were determined by arbitrary PCR and the resultant sequences aligned to the MH96 genome sequence (GenBank accession number NZ_CP010029.1).
Cultivation of MH96 transposon mutants in 96-deep well plates.
Eighty mutants resulting from each independent conjugation event (total events = 50) were independently patched onto LB agar plates containing kanamycin, selective for the transposon, and into 1-mL volumes of LB broth with kanamycin in the wells of 96-well deep-well plates (Nunc 442404). Additionally, three wells without antibiotics were inoculated with MH96 and a non-secreting MH96 strain, K18 (S1 Table of S1 File), and 10 wells containing only LB broth were used as blanks (Fig 3). Plates were sealed with semi-permeable seals AeraSeal (cat BS25, ExcelScientific, USA) and incubated for 16 h at 25°C in a Minitron incubator shaking at 200 rpm.
(A) Inoculation plate post-centrifugation at 16 hpi on a lightbox. Wells A1–3 (black box) contain MH96 (wild-type); A4–6 (red box) contain K18 (non-secretion control); A7–9, E5–8, and H10–12 (purple box) contain LB broth blanks. The pellet sizes of the strains were compared with those of MH96 (black box) and mutant strains with smaller cell pellets were identified (white box). LB-only blanks (purple boxes). (B) Bradford protein assay of supernatants from 96-well master plate shown in panel A. No color change was observed for strain K18 (non-secreting control, red box with solid lines). Transposon mutants with decreased (red boxes with dashed lines) and increased (green box) exoprotein compared to the wild type (black boxes) are indicated.
Following incubation, the deep-well plates were checked for contaminants by visually observing the presence of growth in the uninoculated wells. When no growth (no pellet) in the non-inoculated wells (blanks) were observed, the 96 well plates were centrifuged at 2,200 × g (15 min), and cell pellets were visually assessed by placing each 96 well plate upright onto a lightbox. Mutants with cell pellets that varied in size (Fig 3A well B3) relative to MH96 (wells A1-A3, Fig 3), were removed from the mutant pool, while mutants with similar cell pellet size compared to MH96 were taken forward for exoprotein assessment of the culture supernatant.
To define the exoprotein concentration, the supernatants of the spun down 96-deep well plate were assessed using Bradford assay. Transposon mutants with decreased exoprotein concentration compared to MH96 were placed through a second iteration of the 96-well-based Bradford assay (steps 2–3, Fig 2).
Through the screening of 4,080 MH96 Tn5 transposon mutants using the HESA, 50 mutants (H1-H50) were identified with cell pellets similar in size to MH96 and altered levels of exoprotein relative to wild-type strain MH96 and its non-secreting MH96 derivative, strain K18.
Assessment of MH96 transposon exoprotein mutant strains.
To enable assessment of the protein profile by SDS-PAGE, each of the 50 prospective MH96 transposon mutants with altered exoprotein concentration were independently grown in 50-mL cultures at 25°C and 200 rpm shaking for 16 h. The cultures were assessed for CFUs and 1 mL was pelleted by centrifugation (5,000 × g, 15 min) from where 25 μL of supernatant was retained for Bradford assay and SDS-PAGE (Fig 4) and 25 μL of a resuspended and 1:10 diluted cell pellet was assessed by SDS -PAGE (S1 Fig of S1 File).
Transposon insertion sites, and CFUs compared to MH96 are listed in Table 1. Black arrows denote altered exoproteome profiles with decreased band intensities in transposon mutants relative to MH96. M, Bio-Rad broad-range marker.
Mutants in which band intensities or the banding pattern of the supernatant and or the cell pellet deviated from MH96 observed via SDS-PAGE (Fig 4, S1 Fig of S1 File) are of specific interest, as the deviation in the exoproteome suggests a role of the mutated gene in exoprotein release. A decrease in exoprotein concentration measured by Bradford-assay, often coincided with reduction of band intensities of the entire banding profile observed by SDS-PAGE. As an example, the mutant strains H31, H33 and H34 (Fig 4, S1 Fig of S1 File) where H34 exhibited a similar cell growth with 6.4 × 109 CFU/mL as the wildtype MH96 (5.2 × 109 CFU/mL), while the H31 and H33 mutants had slightly lower respective cell densities of 2.3 × 109 CFU/mL and 2.9 × 109 CFU/mL (Table 1). Based on cell growth and the similar observed band intensity of the associated cell pellets (S1 Fig of S1 File), the H31 and H33 mutants are considered valid exoprotein mutants.
Using the HESA approach, 34 of the 50 mutants were identified with exoprotein concentration reduction by >25% and one mutant H24, with elevated exoprotein concentration of 36% relative to MH96 (Table 1). All 35 mutants have similar CFU values, not less than 5.2 × 108 CFU/mL (<0.1 log10 FC), compared to MH96. Of the 35 mutants, 25 had CFU values above 2.6 × 109 CFU/mL (<0.05 log10 FC) compared to MH96.
Characterization of MH96 Tn5 insertion sites in mutants with altered exoprotein profile.
Through arbitrary PCR and DNA sequencing, the transposon insertion sites of each of the mutants were identified (Table 1). Based on predicted function and Clusters of Orthologous Groups (COG) assignments of the mutants with decreased exoprotein concentrations, 11 insertions were found in transcriptional regulators and intergenic regions (S2 Fig of S1 File). These regions included: i) the intergenic region of PL78_14480, encoding for DNA mismatch repair protein MutS, and PL78_14485; ii) the intergenic region of PL78_17385, a putative PhoB-like regulator and PL78_17390, encoding a phage-like holin; iii) the locus PL78_04800, encoding a histone-like nucleoid-structuring protein (H-NS); and iv) the locus PL78_14485 encoding a hypothetical protein located in the T3SSY2 cluster (S2 Fig and S2 Table of S1 File). Other transposon insertion points were identified in genes involved in metabolism, cell wall biogenesis, lipopolysaccharide (LPS) synthesis and quorum sensing (QS) (Table 1). Some gene clusters were identified, where multiple independent transposon insertions were found (S3 Fig of S1 File).
One hyper-secreting strain was identified in the HESA (H24) (S1 and S4 Figs of S1 File). The transposon insertion of H24 was located in the intergenic region between yen7, a hypothetical HTH-type transcriptional regulator, and chi1 of the Yen-Tc gene cluster.
Assessments of MH96 genes with multiple transposon insertion points.
Five transposon insertions were co-located in the LPSI cluster (Fig 5A and Table 1), required for O-antigen synthesis [28]. Of these, three independent insertions were in genes coding for an inner membrane protein involved in murein biosynthesis (Wzx), with the remaining two insertions in paratose synthase (prt) and mannosyltransferase (wbyK) genes. Four additional transposon insertions were identified in the LPSII cluster, which catalyzes the biosynthesis of an enterobacterial common antigen [29]. These insertions were in genes encoding a uridine-5ʹ-diphosphate (UDP) epimerase, an aminotransferase (WecE), and the O-antigen translocase (Wzx) (Fig 5A and Table 1). SDS-PAGE assessment of these mutants indicated that alterations in exoprotein release were similar between the various mutations within LPSII cluster and MH96 whereas mutations in the LPSI cluster (H3, H5, H7, H9 and H18) led to decreased exoprotein release (Fig 5B).
(A) Schematic depicting HESA-selected transposon insertion within lipopolysaccharide clusters LPSI, LPSII, the quorum sensing cluster and the YeRER. Vertical arrows denote transposon insertion points. Patterned horizontal arrows reflect COG classifications as indicated in boxes. (B) SDS-PAGE of culture supernatant from 16-h cultures of the strains indicated in A of the cluster LPSI: H5, H3, H7, H9, H18; LPSII: H13, H21, H22, H35 and QS H23, H45. Arrow (←) and asterisk (*) denotes bands that increased or decreased in intensity, respectively, relative to MH96. M, Bio-Rad broad-range marker. (C) SDS-PAGE of the culture supernatant of transposon mutants located within (H12) PL78_17385 and 5’ of PL78_17390 (H4, H31 and H46). The MH96 wildtype and its non-secreting derivative K18 are indicated. M, Bio-Rad broad-range marker. Refer to Table 1 for associated transposon insertion sites, exoprotein release and CFU information.
Of significance are the three insertions in H4, H31 and H46 within the intergenic region of PL78_17385, encoding for a putative transcriptional regulator, and within the ORF PL78_17390–17400, encoding for a holin, endopeptidase and putative spanin-protein, as well as the transposon insertion in PL78_17385 in H12 (Fig 5). The exoprotein profiles of those mutants showed a reduction in the exoprotein with only a few visible bands, which was also observed in the non-secreting strain K18. In comparison to MH96 that released 277 ug/mL, K18 released 5 ug/mL, and the HESA mutants H12, H4, H31 and H46 released 6 μg/mL, 9 μg/mL, 21 μg/mL and 25 μg/mL, respectively. The strains K18 (1.6 × 1010 CFU/mL) and H12 (1.2 × 1010 CFU/mL) showed an increase in CFUs compared to MH96 (5.2 × 109 CFU/mL), while strains H46 (3.8 × 109 CFU/mL), H4 (1.4 × 109 CFU/mL) and H31 (2.3 × 109 CFU/mL) showed lowered CFUs compared to MH96 (Table 1). Due to the almost complete abolishment of exoproteins resulting from the mutations within the PL78_17385–17400 region, the cluster was designated as the Yersinia region of exoprotein release (YeRER).
Discussion
To identify genes involved in MH96 exoprotein production, a high-throughput screening method, HESA, was developed and used to screen transposon mutants for alterations in the exoprotein profile. Using the HESA, 35 mutants with altered exoprotein concentrations relative to wild-type strain MH96 were identified. Several transposon insertions were located in the same gene clusters (e.g. LPSI & LPSII), revealing these clusters as essential to MH96 exoprotein release. In line with our goal of defining genes involved in exoprotein production and release, transposon insertions in AHL synthetase, four insertions in transcriptional regulators, and eight insertions located in intergenic regions adjacent to transcriptional regulators, including H-NS and a PhoB-like regulator, were identified. The identification of independent insertions in the same gene or gene clusters validates sufficient mutants were made for this strain and demonstrates the effectiveness of the HESA in the identification of genes involved in exoprotein release.
Transposon insertions in the LPSI and LPSII operons resulted in reduced levels of exoprotein. Interestingly, LPSII mutants with insertions in wecE, encoding dTDP-4-amino-4,6-dideoxygalactose transaminase, not only showed reduced exoprotein concentration but also higher cell densities relative to MH96. In Pseudomonas aeruginosa alteration of the LPS resulted in the decreased secretion of elastase LasB and the lipase LipA [39]. The secretion of hemolsyin in E. coli and proteases in Erwinia chrysanthemi was reduced in LPS mutants [40]. Crhanova et al. [41] determined that mutation of LPS synthesis gene rfaC, (LPS heptosyltransferase), in Salmonella enterica serovar Typhimurium strain LT2 abolished protein secretion. The authors suggested that structural changes in the LPS core interfered with the assembly of membrane-bound machinery such as the T3SS and flagella. It is plausible that a similar, yet to be defined, mechanism is present in MH96, leading to a decrease in exoprotein production, although further study is required.
Further transposon insertions were identified in the MH96 AHL region, which is required for QS. In Y. pseudotuberculosis, QS modulates T3SS and the Yop effector, which is encoded on the pYV plasmid specific to the human pathogens Y. enterocolitica, Y. pestis, and Y. pseudotuberculosis [42]. In Serratia liquefaciens QS regulates T1SS [43] while in P. aeruginosa, QS controls Type 2, 3, and 6 secretion systems, revealing the importance of QS in protein secretion [44–46]. Despite the decrease in exoprotein release in the QS mutant H23 further studies are needed to validate a direct link between QS and the regulation of Type 1-6SSs. However, none of the Type 1-6SS genes were identified using the HESA, indicating a low impact of exoprotein release of a single secretion system in the context of the entire exoproteome. Furthermore, Type 3, 4 and 6 secretion systems are typically expressed in the presence of a host cell or other bacteria and are used for host invasion, adherence, or defence against host and other bacteria cells [1, 47, 48], a scenario which does not occur under the in vitro conditions used in this study. Of interest was the identification of the H24 insertion located in the intergenic region of the putative transcriptional regulator yen7 and chi1 of the Yen-Tc operon (S3 Fig of S1 File) that resulted in a hyper exoprotein phenotype observable by SDS PAGE (S4 Fig of S1 File). Though the H24 insertion is located 5’of chi1 no observable difference in Yen-Tc concentration was observed within the H24 exoprotein profile, signifying this insertion has a global effect on exoprotein production.
Identifying known pathways that are linked to exoprotein release confirms the use of the HESA method which we used in this study to identify genes that are implicated in exoprotein release. Based on the results of this study, we propose that the HESA method applies to any exoprotein-producing bacterial species that is conducive to transposon mutagenesis. To enable this, a growth medium in which a high level of exoproteome production is achieved should be defined by analyzing the exoproteome profile by SDS-PAGE. At present, 0.2 μg of BSA/mL is detectable by plate reader and a concentration of ≥1 μg/mL is discernible by eye. Regarding the detection of exoproteins in the cell culture and its visual assessment by the Bradford assay, the protein concentration of the crude MH96 supernatant is close to the maximum visual threshold and therefore the assay would be unlikely to detect hyper-secreting strains. In this study, after screening 4000 mutants only one was detected with an increased exoprotein concentration. However, the HESA method could be modified to increase the detection of hyper-secreting strains through adjustment of the threshold by appropriate dilution of the supernatant.
Transport of protein complexes across cell walls is essential to bacterial survival, with protein secretion involved in a variety of functions, including nutrient acquisition, antimicrobial resistance, and the delivery of toxins or other virulence factors by pathogens, enabling the bacteria to attach to and/or invade host tissues [49–51]. The use of HESA will enable the elucidation of the genes underpinning exoprotein production in these and other organisms, from where through reporter studies [52, 53] the environmental cues of exoprotein production can then be determined. In this respect, further research is needed to define the roles of the YeRER, QS and others by HESA-identified gene clusters in MH96 exoprotein production and release.
Supporting information
S1 File. Contains all the supporting tables and figures.
https://doi.org/10.1371/journal.pone.0263019.s002
(PDF)
References
- 1. Green ER, Mecsas J. Bacterial secretion systems: An overview. Microbiology spectrum. 2016;4(1). Epub 2016/03/22. pmid:26999395; PubMed Central PMCID: PMC4804464.
- 2. Li N, Zhu Y, LaFrentz BR, Evenhuis JP, Hunnicutt DW, Conrad RA, et al. The type IX secretion system is required for virulence of the fish pathogen Flavobacterium columnare. Applied and environmental microbiology. 2017;83(23). Epub 2017/09/25. pmid:28939608; PubMed Central PMCID: PMC5691404.
- 3. Palmer T, Finney AJ, Saha CK, Atkinson GC, Sargent F. A holin/peptidoglycan hydrolase-dependent protein secretion system. Molecular microbiology. 2021;115(3):345–55. Epub 2020/09/05. pmid:32885520.
- 4. Toyofuku M, Carcamo-Oyarce G, Yamamoto T, Eisenstein F, Hsiao CC, Kurosawa M, et al. Prophage-triggered membrane vesicle formation through peptidoglycan damage in Bacillus subtilis. Nature communications. 2017;8(1):481. Epub 2017/09/09. pmid:28883390; PubMed Central PMCID: PMC5589764.
- 5. Turnbull L, Toyofuku M, Hynen AL, Kurosawa M, Pessi G, Petty NK, et al. Explosive cell lysis as a mechanism for the biogenesis of bacterial membrane vesicles and biofilms. Nature communications. 2016;7:11220. Epub 2016/04/15. pmid:27075392; PubMed Central PMCID: PMC4834629.
- 6. Beveridge TJ. Structures of Gram-negative cell walls and their derived membrane vesicles. Journal of bacteriology. 1999;181(16):4725–33. Epub 1999/08/10. pmid:10438737; PubMed Central PMCID: PMC93954.
- 7. Kulp A, Kuehn MJ. Biological functions and biogenesis of secreted bacterial outer membrane vesicles. Annual review of microbiology. 2010;64:163–84. Epub 2010/09/10. pmid:20825345; PubMed Central PMCID: PMC3525469.
- 8. Roier S, Zingl FG, Cakar F, Schild S. Bacterial outer membrane vesicle biogenesis: a new mechanism and its implications. Microb Cell. 2016;3(6):257–9. Epub 2017/03/31. pmid:28357362; PubMed Central PMCID: PMC5348994.
- 9. Abby SS, Cury J, Guglielmini J, Neron B, Touchon M, Rocha EP. Identification of protein secretion systems in bacterial genomes. Scientific reports. 2016;6:23080. Epub 2016/03/17. pmid:26979785; PubMed Central PMCID: PMC4793230.
- 10. Indrelid S, Mathiesen G, Jacobsen M, Lea T, Kleiveland CR. Computational and experimental analysis of the secretome of Methylococcus capsulatus (Bath). PloS one. 2014;9(12):e114476. Epub 2014/12/06. pmid:25479164; PubMed Central PMCID: PMC4257694.
- 11. Vivek-Ananth RP, Mohanraj K, Vandanashree M, Jhingran A, Craig JP, Samal A. Comparative systems analysis of the secretome of the opportunistic pathogen Aspergillus fumigatus and other Aspergillus species. Scientific reports. 2018;8(1):6617. Epub 2018/04/28. pmid:29700415; PubMed Central PMCID: PMC5919931.
- 12. Garg G, Ranganathan S. In silico secretome analysis approach for next generation sequencing transcriptomic data. BMC genomics. 2011;12 Suppl 3:S14. Epub 2012/03/06. pmid:22369360; PubMed Central PMCID: PMC3333173.
- 13. Engvall E, Perlmann P. Enzyme-linked immunosorbent assay (ELISA). Quantitative assay of immunoglobulin G. Immunochemistry. 1971;8(9):871–4. Epub 1971/09/01. pmid:5135623.
- 14. Weber BS, Ly PM, Feldman MF. Screening for Secretion of the Type VI secretion system protein Hcp by enzyme-linked immunosorbent assay and colony blot. Methods Mol Biol. 2017;1615:465–72. Epub 2017/07/02. pmid:28667630.
- 15. Faden F, Eschen-Lippold L, Dissmeyer N. Normalized quantitative western blotting based on standardized fluorescent labeling. Methods Mol Biol. 2016;1450:247–58. Epub 2016/07/19. pmid:27424760.
- 16. Agrawal T, Kotasthane AS. Chitinolytic assay of indigenous Trichoderma isolates collected from different geographical locations of Chhattisgarh in Central India. SpringerPlus. 2012;1(1):73. Epub 2013/03/26. pmid:23526575; PubMed Central PMCID: PMC3602610.
- 17. Ramnath L, Sithole B, Govinden R. Identification of lipolytic enzymes isolated from bacteria indigenous to Eucalyptus wood species for application in the pulping industry. Biotechnol Rep (Amst). 2017;15:114–24. Epub 2017/08/11. pmid:28794998; PubMed Central PMCID: PMC5545822.
- 18. Vijayaraghavan P, Vincent SG. Purification and characterization of carboxymethyl cellulase from Bacillus sp. isolated from a paddy field. Polish journal of microbiology. 2012;61(1):51–5. Epub 2012/06/20. pmid:22708346.
- 19. Bailey J, Manoil C. Genome-wide internal tagging of bacterial exported proteins. Nature biotechnology. 2002;20(8):839–42. Epub 2002/07/02. pmid:12091915.
- 20. Das A, Xie YH. Construction of transposon Tn3phoA: its application in defining the membrane topology of the Agrobacterium tumefaciens DNA transfer proteins. Molecular microbiology. 1998;27(2):405–14. Epub 1998/03/04. pmid:9484895.
- 21. O’Farrell PH. High resolution two-dimensional electrophoresis of proteins. The Journal of biological chemistry. 1975;250(10):4007–21. Epub 1975/05/25. pmid:236308; PubMed Central PMCID: PMC2874754.
- 22. Pieper R, Huang ST, Clark DJ, Robinson JM, Parmar PP, Alami H, et al. Characterizing the dynamic nature of the Yersinia pestis periplasmic proteome in response to nutrient exhaustion and temperature change. Proteomics. 2008;8(7):1442–58. Epub 2008/04/03. pmid:18383009.
- 23. Mariappan V, Vellasamy KM, Thimma JS, Hashim OH, Vadivelu J. Identification of immunogenic proteins from Burkholderia cepacia secretome using proteomic analysis. Vaccine. 2010;28(5):1318–24. Epub 2009/12/01. pmid:19944788.
- 24. Hurst MR, Becher SA, Young SD, Nelson TL, Glare TR. Yersinia entomophaga sp. nov., isolated from the New Zealand grass grub Costelytra zealandica. International journal of systematic and evolutionary microbiology. 2011;61(Pt 4):844–9. Epub 2010/05/25. pmid:20495033.
- 25. Hurst MR, Jones SA, Binglin T, Harper LA, Jackson TA, Glare TR. The main virulence determinant of Yersinia entomophaga MH96 is a broad-host-range toxin complex active against insects. Journal of bacteriology. 2011;193(8):1966–80. Epub 2011/02/01. pmid:21278295; PubMed Central PMCID: PMC3133040.
- 26. Hurst MR, Beattie A, Altermann E, Moraga RM, Harper LA, Calder J, et al. The draft genome sequence of the Yersinia entomophaga entomopathogenic type strain MH96T. Toxins. 2016;8(5). Epub 2016/05/18. pmid:27187466.
- 27. Fang FC, Frawley ER, Tapscott T, Vazquez-Torres A. Bacterial stress responses during host infection. Cell host & microbe. 2016;20(2):133–43. Epub 2016/08/12. pmid:27512901; PubMed Central PMCID: PMC4985009.
- 28. Hews CL, Cho T, Rowley G, Raivio TL. Maintaining integrity under stress: envelope stress response regulation of pathogenesis in Gram-negative bacteria. Frontiers in cellular and infection microbiology. 2019;9:313. Epub 2019/09/26. pmid:31552196; PubMed Central PMCID: PMC6737893.
- 29. Armengaud J, Christie-Oleza JA, Clair G, Malard V, Duport C. Exoproteomics: exploring the world around biological systems. Expert Rev Proteomics. 2012;9(5):561–75. Epub 2012/12/01. pmid:23194272.
- 30. Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical biochemistry. 1976;72:248–54. Epub 1976/05/07. pmid:942051
- 31. Laemmli UK. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature. 1970;227(5259):680–5. Epub 1970/08/15. pmid:5432063.
- 32. Blum H, Beier H, Gross HJ. Improved silver staining of plant proteins, RNA and DNA in polyacrylamide gels. Electrophoresis. 1987;8(2):93–9.
- 33. Mesarich CH, Rees-George J, Gardner PP, Ghomi FA, Gerth ML, Andersen MT, et al. Transposon insertion libraries for the characterization of mutants from the kiwifruit pathogen Pseudomonas syringae pv. actinidiae. PloS one. 2017;12(3):e0172790. Epub 2017/03/02. pmid:28249011; PubMed Central PMCID: PMC5332098.
- 34.
Sambrook J FE, Maniatis T. Molecular cloning. Cold Spring Harbor Laboratory Press. 1989;2nd edition.
- 35. Mesarich CH, Griffiths SA, van der Burgt A, Okmen B, Beenen HG, Etalo DW, et al. Transcriptome sequencing uncovers the Avr5 avirulence gene of the tomato leaf mold pathogen Cladosporium fulvum. Molecular plant-microbe interactions: MPMI. 2014;27(8):846–57. Epub 2014/04/01. pmid:24678832.
- 36. 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. Epub 2012/05/01. pmid:22543367; PubMed Central PMCID: PMC3371832.
- 37. Kristensen DM, Kannan L, Coleman MK, Wolf YI, Sorokin A, Koonin EV, et al. A low-polynomial algorithm for assembling clusters of orthologous groups from intergenomic symmetric best matches. Bioinformatics. 2010;26(12):1481–7. Epub 2010/05/05. pmid:20439257; PubMed Central PMCID: PMC2881409.
- 38. Landsberg MJ, Jones SA, Rothnagel R, Busby JN, Marshall SD, Simpson RM, et al. 3D structure of the Yersinia entomophaga toxin complex and implications for insecticidal activity. Proceedings of the National Academy of Sciences of the United States of America. 2011;108(51):20544–9. Epub 2011/12/14. pmid:22158901; PubMed Central PMCID: PMC3251104.
- 39. Michel G, Ball G, Goldberg JB, Lazdunski A. Alteration of the lipopolysaccharide structure affects the functioning of the Xcp secretory system in Pseudomonas aeruginosa. Journal of bacteriology. 2000;182(3):696–703. Epub 2000/01/14. pmid:10633103; PubMed Central PMCID: PMC94332.
- 40. Wandersman C, Letoffe S. Involvement of lipopolysaccharide in the secretion of Escherichia coli alpha-haemolysin and Erwinia chrysanthemi proteases. Molecular microbiology. 1993;7(1):141–50. Epub 1993/01/01. pmid:8437516.
- 41. Crhanova M, Malcova M, Mazgajova M, Karasova D, Sebkova A, Fucikova A, et al. LPS structure influences protein secretion in Salmonella enterica. Veterinary microbiology. 2011;152(1–2):131–7. Epub 2011/05/17. pmid:21570779.
- 42. Atkinson S, Goldstone RJ, Joshua GW, Chang CY, Patrick HL, Camara M, et al. Biofilm development on Caenorhabditis elegans by Yersinia is facilitated by quorum sensing-dependent repression of type III secretion. PLoS pathogens. 2011;7(1):e1001250. Epub 2011/01/22. pmid:21253572; PubMed Central PMCID: PMC3017118.
- 43. Ng YK, Grasso M, Wright V, Garcia V, Williams P, Atkinson S. The quorum sensing System of Yersinia enterocolitica 8081 regulates swimming motility, host cell attachment, and virulence plasmid maintenance. Genes. 2018;9(6). Epub 2018/06/22. pmid:29925778; PubMed Central PMCID: PMC6027161.
- 44. Lesic B, Starkey M, He J, Hazan R, Rahme LG. Quorum sensing differentially regulates Pseudomonas aeruginosa type VI secretion locus I and homologous loci II and III, which are required for pathogenesis. Microbiology. 2009;155(Pt 9):2845–55. Epub 2009/06/06. pmid:19497948; PubMed Central PMCID: PMC2888175.
- 45. Liang H, Deng X, Li X, Ye Y, Wu M. Molecular mechanisms of master regulator VqsM mediating quorum-sensing and antibiotic resistance in Pseudomonas aeruginosa. Nucleic acids research. 2014;42(16):10307–20. Epub 2014/07/19. pmid:25034696; PubMed Central PMCID: PMC4176358.
- 46. Wagner VE, Bushnell D, Passador L, Brooks AI, Iglewski BH. Microarray analysis of Pseudomonas aeruginosa quorum-sensing regulons: effects of growth phase and environment. Journal of bacteriology. 2003;185(7):2080–95. Epub 2003/03/20. pmid:12644477; PubMed Central PMCID: PMC151498.
- 47. Costa TR, Felisberto-Rodrigues C, Meir A, Prevost MS, Redzej A, Trokter M, et al. Secretion systems in Gram-negative bacteria: structural and mechanistic insights. Nature reviews Microbiology. 2015;13(6):343–59. Epub 2015/05/16. pmid:25978706.
- 48. Depluverez S, Devos S, Devreese B. The role of bacterial secretion systems in the virulence of Gram-negative airway pathogens associated with cystic fibrosis. Frontiers in microbiology. 2016;7:1336. Epub 2016/09/15. pmid:27625638; PubMed Central PMCID: PMC5003817.
- 49. Christensen JE, Pacheco SA, Konkel ME. Identification of a Campylobacter jejuni-secreted protein required for maximal invasion of host cells. Molecular microbiology. 2009;73(4):650–62. Epub 2009/07/25. pmid:19627497; PubMed Central PMCID: PMC2764114.
- 50. Haurat MF, Elhenawy W, Feldman MF. Prokaryotic membrane vesicles: new insights on biogenesis and biological roles. Biological chemistry. 2015;396(2):95–109. Epub 2014/09/03. pmid:25178905.
- 51. McQuade R, Stock SP. Secretion systems and secreted proteins in Gram-negative entomopathogenic bacteria: their roles in insect virulence and beyond. Insects. 2018;9(2). Epub 2018/06/21. pmid:29921761; PubMed Central PMCID: PMC6023292.
- 52. Forde CE, Rocco JM, Fitch JP, McCutchen-Maloney SL. Real-time characterization of virulence factor expression in Yersinia pestis using a GFP reporter system. Biochemical and biophysical research communications. 2004;324(2):795–800. Epub 2004/10/12. pmid:15474497.
- 53. Liu Z, Wang H, Wang H, Wang J, Bi Y, Wang X, et al. Intrinsic plasmids influence MicF-mediated translational repression of ompF in Yersinia pestis. Frontiers in microbiology. 2015;6:862. Epub 2015/09/09. pmid:26347736; PubMed Central PMCID: PMC4543863.