Abstract
Aeromonas salmonicida subsp. pectinolytica 34melT can be considered an extremophile due to the characteristics of the heavily polluted river from which it was isolated. While four subspecies of A. salmonicida are known fish pathogens, 34melT belongs to the only subspecies isolated solely from the environment. Genome analysis revealed a high metabolic versatility, the capability to cope with diverse stress agents, and the lack of several virulence factors found in pathogenic Aeromonas. The most relevant phenotypic characteristics of 34melT are pectin degradation, a distinctive trait of A. salmonicida subsp. pectinolytica, and melanin production. Genes coding for three pectate lyases were detected in a cluster, unique to this microorganism, that contains all genes needed for pectin degradation. Melanin synthesis in 34melT is hypothesized to occur through the homogentisate pathway, as no tyrosinases or laccases were detected and the homogentisate 1,2-dioxygenase gene is inactivated by a transposon insertion, leading to the accumulation of the melanin precursor homogentisate. Comparative genome analysis of other melanogenic Aeromonas strains revealed that this gene was inactivated by transposon insertions or point mutations, indicating that melanin biosynthesis in Aeromonas occurs through the homogentisate pathway. Horizontal gene transfer could have contributed to the adaptation of 34melT to a highly polluted environment, as 13 genomic islands were identified in its genome, some of them containing genes coding for fitness-related traits. Heavy metal resistance genes were also found, along with others associated with oxidative and nitrosative stresses. These characteristics, together with melanin production and the ability to use different substrates, may explain the ability of this microorganism to live in an extremely polluted environment.
INTRODUCTION
Aeromonas salmonicida subsp. pectinolytica 34melT is a melanin-producing Aeromonas strain that degrades polypectate, which is an unusual characteristic among Aeromonas species (1). It was isolated from the heavily polluted water of the Riachuelo, the last part of the Matanza River, located in Buenos Aires, Argentina. This river has received the effluents of hundreds of tanneries and other industries, as well as urban sewage and fuels, for more than a century. Among the contaminants found in this environment, which has high organic matter and low dissolved oxygen contents, are hydrocarbons, polychlorinated biphenyls, pesticides, arsenic, and heavy metals, such as chromium, lead, copper, mercury, and nickel (2–4). A molecular analysis of the microbial diversity of river water and sediments from the isolation site showed the presence of bacteria belonging to several taxa. Analysis of 16S rRNA gene sequences revealed the presence of bacteria belonging to the Beta-, Gamma-, and Epsilonproteobacteria in the water, as well as a higher level of diversity in the sediments, in which Alpha-, Beta-, Gamma-, and Deltaproteobacteria, Firmicutes, and Bacteroidetes were detected (5).
The genus Aeromonas, belonging to the Gammaproteobacteria, currently includes around 30 species. A. salmonicida comprises five different subspecies (6): A. salmonicida subsp. salmonicida, A. salmonicida subsp. achromogenes, A. salmonicida subsp. masoucida, and A. salmonicida subsp. smithia, all of which isolated from fish, and A. salmonicida subsp. pectinolytica, the only subspecies isolated from the environment. A recent phylogenetic analysis of Aeromonas strains based on multilocus sequence typing (MLST) showed that the first four subspecies are closely related, forming a tight cluster that excludes A. salmonicida subsp. pectinolytica, indicating that it is the most phylogenetically distant subspecies (7).
The first Aeromonas genome sequenced was that of A. hydrophila ATCC 7966T, reflecting its ability to thrive in aquatic and host environments (8), and shortly after, the genome of A. salmonicida A449 provided insights into the adaptations of this fish pathogen to its host (9). Other A. salmonicida genomes sequenced are those of A. salmonicida subsp. salmonicida strains 01-B526 (10), 2004-05MF26, and 2009-144K3 (11), A. salmonicida subsp. achromogenes AS03 (12), A. salmonicida subsp. masoucida NBRC 13784 (BAWQ01000000), and strain CBA100 (13). Annotated genome sequences of several other Aeromonas species, including A. caviae (14), A. veronii (15), A. media (16), A. aquariorum (currently A. dhakensis) (17), A. molluscorum (18), and A. diversa (19), are currently available.
Bacteria living in extreme environments use a variety of different strategies to deal with the challenges to which they are exposed, which include combinations of diverse physical and chemical stress factors. The survival strategies that endow bacteria with the capability to adapt to harsh conditions involve special groups of genes, many of which can be acquired by horizontal gene transfer (20, 21). The distinctive characteristics of 34melT, along with its ability to live in an extremely polluted environment, prompted us to sequence the genome of this microorganism. This study constitutes an in-depth comparative genomic analysis that focuses on pectin degradation, melanin synthesis, resistance to toxic compounds, and the presence of mobile genetic elements to shed light on the capability of this strain to cope with the different challenges faced in its habitat.
MATERIALS AND METHODS
Bacterial strain and growth conditions.
Aeromonas salmonicida subsp. pectinolytica strain 34melT (equivalent to DSM 12609T) was isolated in 1988 from the water of the Matanza River (Riachuelo), near the Río de la Plata estuary, in Buenos Aires, Argentina (1).
For analysis of melanin production under different conditions, cells were grown on lysogeny broth (LB) (Invitrogen) agar plates or on M9 minimal medium (6 g liter−1 Na2HPO4, 3 g liter−1 KH2PO4, 0.5 g liter−1 NaCl, 1 g liter−1 NH4Cl, 0.2 g liter−1 MgSO4·7H2O, 5 mg liter−1 thiamine, 2 g liter−1 glucose, pH 7.2) agar plates supplemented with 0.3 g liter−1 tyrosine and/or 0.2 mM CuSO4. The capability to grow in the presence of heavy metals was analyzed by testing growth on LB plates containing a maximum of 30 ppm (0.267 mM) cadmium, as CdCl2; 1,000 ppm (15.3 mM) zinc, as ZnSO4; 7 ppm (0.065 mM) silver, as AgNO3; 5 ppm (0.025 mM) mercury, as HgCl; 100 ppm (0.483 mM) lead, as Pb(C2H3O2)2; or 23 ppm (0.362 mM) copper, as CuSO4. All incubations were carried out at 30°C.
Genome sequencing.
Whole-genome shotgun (WGS) sequencing was performed using a Roche 454 GS FLX Titanium pyrosequencer, and reads were assembled with Newbler v. 2.6 (Roche) and annotated as described previously (22). MIRA v. 4.0 (23) was employed to close some gaps between the initially obtained Newbler contigs. The joined contigs were then confirmed by PCR assays.
Comparative genome analysis.
General sequence analysis was performed using the bioinformatic tools included in the RAST (Rapid Annotation using Subsystem Technology) server (24) and the IMG (Integrated Microbial Genomes) system (25), together with BLAST (Basic Local Alignment Search Tool) (26).
The genomes of Aeromonas strains used for comparative analysis are shown in Table 1. Other genomes used (with corresponding GenBank accession numbers) were those of Oceanimonas sp. GK1 (NC_016745), Tolumonas auensis DSM 9187 (NC_012691), Succinivibrio dextrinosolvens H5 (JNKL01000000), Aliivibrio salmonicida LFI1238 (NC_011312 and NC_011313), Shewanella oneidensis MR-1 (NC_004347), Alteromonas sp. SN2 (NC_015554), Marinomonas mediterranea MMB-1 (NC_015276), Escherichia coli O104:H4 (NC_018658), Dickeya dadantii 3937 (NC_014500), and Pseudomonas aeruginosa UCBPP-PA14 (NC_008463). Global alignments of the whole genome of 34melT with those of bacterial strains belonging to the genus Aeromonas and the related gammaproteobacteria listed above were performed using the Needleman-Wunsch algorithm (using the BLOSUM50 scoring matrix and a maximum gap open penalty of 10), which is included in the Bioinformatics Toolbox of Matlab (30). BLASTp was used to obtain the percent identities between protein sequences. Taking into account the rapidly increasing amount of sequence data, BLAST analysis was performed against the NCBI nonredundant databases for those genes and/or proteins that were analyzed in detail.
TABLE 1.
Aeromonas genomes used for comparative analysis and in silico DNA-DNA hybridization values for A. salmonicida subsp. pectinolytica 34melT with other Aeromonas strains
| Aeromonas strain | isDDH value with 34melT (%) | Accession no. | Genome reference |
|---|---|---|---|
| A. salmonicida subsp. pectinolytica 34melT | ARYZ00000000 | 22 | |
| A. salmonicida subsp. achromogenes AS03 | 73.90 ± 2.91 | AMQG00000000 | 12 |
| A. salmonicida subsp. masoucida NBRC 13784 | 74.40 ± 2.51 | BAWQ01000000 | Unpublished |
| A. salmonicida subsp. salmonicida A449 | 74.20 ± 2.91 | CP000644 | 9 |
| A. salmonicida subsp. salmonicida 01-B526 | 73.90 ± 2.51 | AGVO01000000 | 10 |
| A. salmonicida subsp. salmonicida 2009-144K3 | 74.10 ± 2.91 | JRYV01000000 | 11 |
| A. salmonicida subsp. salmonicida 2004-05MF26 | 73.90 ± 2.91 | JRYW00000000 | 11 |
| A. salmonicida subsp. salmonicida CIP 103209T | 74.10 ± 2.91 | CDDW00000000 | 27 |
| A. salmonicida subsp. salmonicida JF3224 | 74.10 ± 2.91 | JXTA00000000 | Unpublished |
| A. salmonicida CBA100 | 39.60 ± 2.51 | JPWL00000000 | 13 |
| A. aquariorum AAK1 (currently A. dhakensis) | 30.90 ± 2.45 | BAFL01000000 | 17 |
| A. australiensis CECT 8023T | 27.80 ± 2.43 | CDDH00000000 | 27 |
| A. bestiarum CDC 9533-76T (equivalent to CECT 4227T) | 39.60 ± 2.51 | CDDA00000000 | 27 |
| A. bivalvium CECT 7113T | 26.00 ± 2.41 | CDBT00000000 | 27 |
| A. caviae Ae398 | 28.20 ± 2.43 | CACP01000000 | 14 |
| A. caviae CECT 838T | 28.00 ± 2.43 | CDBK00000000 | 27 |
| A. diversa 2478-85T | 22.00 ± 2.35 | APVG00000000 | 19 |
| A. encheleia CECT 4342T | 29.70 ± 2.44 | CDDI00000000 | 27 |
| A. enteropelogenes CECT 4487T | 27.80 ± 2.43 | CDCG00000000 | 27 |
| A. eucrenophila NCMB 74T (equivalent to CECT 4224T) | 28.40 ± 2.44 | CDDF00000000 | 27 |
| A. fluvialis LMG 24681T | 28.60 ± 2.44 | CDBO00000000 | 27 |
| A. hydrophila ATCC 7966T | 31.70 ± 2.46 | CP000462 | 8 |
| A. hydrophila ML09-119 | 31.70 ± 2.46 | CP005966 | 28 |
| A. jandaei CECT 4228T | 27.70 ± 2.43 | CDBV00000000 | 27 |
| A. media WS | 31.30 ± 2.46 | CP007567 | 16 |
| A. media RMT (equivalent to CECT 4232T) | 30.50 ± 2.45 | CDBZ00000000 | 27 |
| A. molluscorum 848TT | 25.10 ± 2.40 | AQGQ00000000 | 18 |
| A. piscicola LMG 24783T | 41.40 ± 2.52 | CDBL00000000 | 27 |
| A. popoffii LMG 17541T (equivalent to CIP 105493T) | 36.90 ± 2.49 | CDBI00000000 | 27 |
| A. rivuli DSM 22539T | 25.20 ± 2.40 | CDBJ00000000 | 27 |
| A. sanarellii LMG 24682T | 28.40 ± 2.44 | CDBN00000000 | 27 |
| A. simiae CIP 107798T | 22.50 ± 2.36 | CDBY00000000 | 27 |
| A. sobria CIP7433T (equivalent to CECT 4245T) | 28.10 ± 2.43 | CDBW00000000 | 27 |
| A. taiwanensis LMG 24683T | 28.00 ± 2.43 | BAWK00000000 | 29 |
| A. veronii B565 | 28.70 ± 2.44 | CP002607 | 15 |
isDDH.
Genome-to-genome distance calculations were performed using the GGDC program, available at http://ggdc.dsmz.de/, which provides an estimation of in silico DNA-DNA hybridization (isDDH) values (31). The program supplies results obtained with three formulas. Those reported in this work are the ones recommended by the program (formula 2).
Analysis of mobile elements and virulence factors.
Prediction of genomic islands (GIs) was done using IslandViewer 2 (32) and the Colombo SIGI-HMM (33) program. Criteria used to define GIs were as follows: anomalies in G+C content and codon usage, the presence of genes associated with mobile genetic elements, such as integrases, bacteriophages, transposons, and plasmids, and a loss of synteny with genomes of related strains. To determine the boundaries of genomic islands, a comparison with the genomes of all Aeromonas strains included in Table 1 was performed using PanSeq (34), revealing regions unique to 34melT, and was complemented by manual analysis. BLASTn analysis of the putative GIs was performed against the nucleotide collection and whole-genome shotgun (WGS) databases. Flanking regions were screened for tRNA genes, which are commonly associated with the integration sites of GIs.
PhiSpy (35) and PHAST (36) were used to identify prophages. The presence of plasmids was investigated with PlasmidFinder 1.2 (37), using the Enterobacteriaceae database and both 80% and 50% identity thresholds. The Virulence Factor Database (VFDB) was used to search for virulence factors (38).
Nucleotide sequence accession numbers.
The sequences obtained through this whole-genome shotgun project have been deposited at DDBJ/EMBL/GenBank under accession number ARYZ00000000. The version described in this paper is available under accession number ARYZ00000000.2.
RESULTS AND DISCUSSION
Genomic relatedness of 34melT to other Aeromonas strains.
A. salmonicida subsp. pectinolytica was first described as a new subspecies of A. salmonicida after a thorough phenotypic analysis complemented by DNA-DNA hybridization (DDH) experiments that included all other A. salmonicida subspecies and a few other Aeromonas species (1). The current availability of many Aeromonas whole-genome sequences prompted us to extend this analysis by means of in silico genome-to-genome comparisons (isDDH) that estimate DDH values. As expected, similarities of >70% were found when 34melT was compared to all strains of A. salmonicida subsp. salmonicida, A. salmonicida subsp. masoucida, and A. salmonicida subsp. achromogenes, further confirming that they all belong to the same species (Table 1). The isDDH values were almost the same as those previously obtained experimentally for intraspecies comparisons within A. salmonicida (1). However, isDDH values were lower than 70% when 34melT was compared to A. salmonicida CBA100. When the genome of this strain was analyzed against the other A. salmonicida strains, isDDH values well below 70% were obtained, suggesting that CBA100 might not belong to this species. Further comparisons suggested that CBA100 could belong to A. bestiarum (isDDH value, 78.30%).
In silico DDH values of <70% were obtained when 34melT was compared to representative strains of other Aeromonas species (Table 1). The results obtained in the present work, which are well below the species definition cutoff value, corroborate the clear interspecies difference previously observed experimentally, in which DDH values ranging from 15.9 to 34.8% were obtained when 34melT was compared to other Aeromonas species (1).
In a recent study (27) that analyzed the genomes of a large number of Aeromonas strains, the authors pointed out that the cluster corresponding to A. salmonicida had a low genetic diversity, with isDDH values of ≥98.5%. However, that study did not include strains belonging to A. salmonicida subsp. masoucida or A. salmonicida subsp. pectinolytica. A comparison of the sequenced strain belonging to A. salmonicida subsp. masoucida with strains of A. salmonicida subsp. salmonicida revealed an isDDH value comparable to those reported in the mentioned work. In contrast, the isDDH analysis performed in the present study, in accordance with the MLST results reported previously (7), indicated that A. salmonicida subsp. pectinolytica is the most genetically distant member of the species. The low genetic diversity reported among A. salmonicida strains was related to the fact that the bacteria analyzed are adapted for fish pathogenicity (27). The genetic divergence between 34melT, an environmental isolate, and the pathogenic strains may be related to their different lifestyles.
Pectin degradation.
A. salmonicida subsp. pectinolytica owes its subspecific epithet to its ability to degrade polypectate, which is a unique feature among Aeromonas species (1). A search for genes related to pectin degradation in the genome of 34melT revealed the presence of several genes coding for pectinolytic enzymes not found in other Aeromonas strains but similar to those present in the plant-pathogenic bacterium Dickeya dadantii (formerly known as Erwinia chrysanthemi).
Pectin, one of the main components of the plant cell wall, is a polysaccharide consisting mostly of galacturonan chains combined with rhamnose moieties and short side chains of sugars, such as galactose, arabinose, and xylose. Pectinolytic enzymes are involved in the degradation of dead plant material, contributing to the natural carbon cycle, and they are used by plant-pathogenic bacteria and fungi for the invasion of host tissues (39, 40).
Genes coding for three pectate lyases that may be involved in the first two steps in the pectin degradation pathway were detected in a cluster unique to 34melT that contains all genes needed for pectin degradation (Fig. 1). All of these genes are absent in other Aeromonas species. The pectate lyase encoded by the K931_15166 gene has 56% amino acid identity with PelE of D. dadantii, a bacterium that secretes eight pectate lyases and uses the degradation products as carbon sources for growth (41, 42). The second gene in the cluster codes for an exopolygalacturonate lyase (K931_15171) with 41% identity to PelX of D. dadantii (43). This very uncommon enzyme, also known as pectate disaccharide-lyase, is found only in some species of Dickeya, Pectobacterium, Vibrio, Klebsiella, and Yersinia. The third lyase, oligogalacturonide lyase (K931_15226), shares 69% amino acid identity with Ogl of D. dadantii. Next to ogl is the gene that codes for the transcriptional regulator KdgR (K931_15221) (Fig. 1), which might act as a general repressor of pectinolytic genes in 34melT. In D. dadantii, KdgR controls almost all steps of pectin catabolism in response to the growth phase, oxygen limitation, nitrogen starvation, and catabolite repression (43). Other genes in the cluster code for the enzymes 5-keto-4-deoxyuronate isomerase (K931_15206), 2-deoxy-d-gluconate 3-dehydrogenase (K931_15211), 2-dehydro-3-deoxygluconokinase (K931_15191), and 2-keto-3-deoxy-6-phosphogluconate aldolase (K931_15186), which catalyze degradation to the glycolytic intermediate d-glyceraldehyde-3P, indicating that 34melT has all the genetic information necessary for the utilization of pectin as a carbon source (Fig. 1).
FIG 1.
Pectin catabolism. (A) Pectin degradation pathway. (B) Genetic organization of the pectin degradation gene cluster. Locus tags for 34melT are indicated in parentheses. Genes involved in pectin degradation are shaded as follows: genes coding for pectate lyases and other enzymes of the pathway are shown in dark gray, and other genes are shown in light gray. The arrows indicate gene orientations.
The 34melT pectin degradation cluster also contains a gene encoding an oligogalacturonate-specific porin (K931_15176) similar to the functionally characterized porin KdgM of D. dadantii (44), as well as a gene encoding a cupin (K931_15181) sharing 43% identity with the pectin degradation protein KdgF of D. dadantii. It is worth noting that although most of the genes related to pectin degradation found in 34melT are similar to genes found in D. dadantii, a known plant pathogen, the genetic organization of the genes differs, as the pectin degradation genes in this organism are not clustered together as observed for 34melT.
Because A. salmonicida subsp. pectinolytica 34melT was isolated from the water of a highly polluted river and there are no known plant pathogens in the genus Aeromonas, it is possible that the capability to degrade pectin enables it to obtain nutrients from plant matter present in its environment, contributing to the nutritional versatility of this microorganism.
Melanin biosynthesis.
One of the most distinctive phenotypic characteristics of 34melT, which is shared by all strains of A. salmonicida subsp. pectinolytica, is the production of large amounts of melanin (1), a compound known to confer protection against environmental stress (45). In rich medium, strong pigmentation was observed both in 34melT colonies and in the surrounding medium, with the color turning to a very dark brown due to diffusing melanin (Fig. 2). In minimal medium, melanin was not produced unless tyrosine was added, and copper ions were observed to enhance melanin production (Fig. 2). Despite the fact that melanin synthesis has been reported for several A. salmonicida and A. media strains (1, 46–48), melanin synthesis pathways have not been elucidated for these bacteria.
FIG 2.

Melanin production by 34melT colonies on different media. (A) LB plates. (B) M9 plates with different additives (0.3 g liter−1 tyrosine and/or 0.2 mM CuSO4) and incubation for 2 weeks.
Melanins are complex and diverse heteropolymeric pigments formed by oxidative polymerization of phenolic and/or indolic compounds. The best-known pathway for melanin biosynthesis involves tyrosinases, which produce eumelanins (brown or black) and phaeomelanins (reddish) through the oxidation of tyrosine to l-3,4-dihydroxyphenylalanine (l-DOPA) and dopaquinone (49). An early study that investigated melanin-like pigment production in A. salmonicida arrived to the conclusion that the pigment produced differed from eumelanin and phaeomelanin (46).
No genes that could code for tyrosinases were found in the genome of 34melT, nor were genes encoding other enzymes less frequently involved in melanin biosynthesis in bacteria, such as laccases, polyketide synthases, or 4-hydroxyphenylacetate hydroxylases. A study performed with A. media revealed an enzyme (GenBank accession number ACD40043) that oxidizes l-DOPA and has little similarity to previously reported tyrosinases, and it was proposed that this enzyme is an atypical tyrosinase involved in melanin biosynthesis (50). The gene that codes for this protein is present in 34melT (K931_01824) and in both melanogenic and nonmelanogenic Aeromonas strains. When the genome of A. media was published, the authors indicated that it has no typical tyrosinases and mentioned that deletion of the gene previously identified as a tyrosinase gene had no effects on melanin production (16).
Pyomelanin, another kind of melanin first described for Pseudomonas (51), is derived from the auto-oxidation and polymerization of homogentisate, an intermediary of tyrosine catabolism, when it accumulates in the medium. A cluster of four genes is responsible for pyomelanin synthesis in P. aeruginosa (52) (Table 2). Three of these genes were also found in a cluster in the genome of 34melT: phhA, encoding a phenylalanine 4-monooxygenase (K931_10868); phhB, corresponding to a pterin-4-α-carbinolamine dehydratase (K931_10863); and tyrR, coding for a transcriptional regulatory protein (K931_10858) (Fig. 3 and Table 2). The fourth gene in the P. aeruginosa cluster codes for an aromatic amino acid aminotransferase (EC 2.6.1.57). A search in the genome of 34melT revealed the presence of two similar genes (K931_06321 and K931_11063) located far from phhA, phhB, and tyrR. Another gene essential for melanin biosynthesis in P. aeruginosa, hpd, encoding a 4-hydroxyphenylpyruvate dioxygenase (52), is also present in 34melT (K931_20202).
TABLE 2.
Genes related to melanin synthesis in A. salmonicida 34melT and Pseudomonas aeruginosa UCBPP-PA14
| Functional group and 34melT locus tag | Annotation for 34melT/putative function | Corresponding P. aeruginosa UCBPP-PA14 gene |
|
|---|---|---|---|
| Locus tag | Phenotype of mutanta | ||
| Amino acid metabolism | |||
| K931_10868 | Phenylalanine 4-monooxygenase PhhA | PA14_52990 | No pigment |
| K931_10863 | Pterin-4-α-carbinolamine dehydratase PhhB | PA14_53000 | No pigment |
| K931_06321/K931_11063 | Aromatic amino acid aminotransferase PhhC | PA14_53010 | No pigment |
| K931_20202 | 4-Hydroxyphenylpyruvate dioxygenase Hpd | PA14_53070 | No pigment |
| Nucleotide biosynthesis | |||
| K931_13221 | Dihydroorotase | PA14_05250 | Reduced |
| K931_05586 | Dihydroorotate dehydrogenase 2 | PA14_24640 | Reduced |
| K931_04105 | Orotate phosphoribosyltransferase | PA14_70370 | Reduced |
| K931_15296 | Orotidine 5′-phosphate decarboxylase | PA14_26890 | Reduced |
| K931_14303 | Carbamoyl phosphate synthase | PA14_62910 | Reduced |
| Transcription and regulation | |||
| K931_10858 | Transcriptional regulatory protein TyrR | PA14_52980 | No pigment |
| Not found | Two-component response regulator | PA14_62540 | Reduced |
| K931_05041 | Two-component system nitrogen response regulator | PA14_67680 | Reduced |
| K931_10283 | Camphor resistance protein CrcB | PA14_56980 | Reduced |
| K931_14746 | RNA polymerase sigma-54 factor | PA14_57940 | Reduced |
| Absent (frameshift) | Sensor/response regulator hybrid | PA14_10770 | Reduced |
| Not found | Transcriptional regulator | PA14_29590 | Reduced |
| Membrane proteins | |||
| K931_15729 | Potassium transport protein | PA14_52400 | Reduced |
| K931_18684 | Lipocalin (outer membrane lipoprotein) | PA14_67450 | No pigment |
| K931_14716 | ABC-type transporter ATP-binding protein | PA14_57880 | Reduced |
| Other functions | |||
| K931_04607 | Hydroxy-3-methylbut-2-enyl diphosphate reductase | PA14_60330 | Reduced |
| K931_14951 | Methylcrotonoyl-coenzyme A carboxylase | PA14_38480 | Reduced |
| Not found | Hypothetical protein | PA14_53260 | Reduced |
| K931_06636 | Aminodeoxychorismate lyase | PA14_25730 | No pigment |
| Not found | Membrane protein | PA14_49050 | No pigment |
| K931_01505 | Putative dioxygenase | PA14_27390 | Reduced |
| Not found | Hypothetical protein | PA14_22260 | Reduced |
Effects of mutations in P. aeruginosa according to reference 52. “Reduced” indicates a reduction in pigment production.
FIG 3.
Melanin biosynthesis pathway. The crossed-out arrow indicates an interruption of the pathway due to the inactivation of hmgA, the gene that codes for the homogentisate 1,2-dioxygenase. Locus tags for the corresponding genes in 34melT are indicated at the left.
During tyrosine catabolism, homogentisate is degraded to the final compounds acetoacetate and fumarate (Fig. 3). The first step is catalyzed by the homogentisate 1,2-dioxygenase, encoded by hmgA. Analysis of this gene in 34melT revealed that hmgA is interrupted (K931_20197 and K931_21737 correspond to the two parts of the gene) by a region containing genes that code for IstB, an ATP binding domain-containing protein (K931_21797), and a transposase (K931_21792), both of which are associated with IS21 family insertion sequences. Previous studies showed that transposon insertions in hmgA resulted in accumulation of homogentisate and production of pyomelanin in Pseudomonas (53).
The presence of all the genes leading to the synthesis of homogentisate, together with the defective homogentisate 1,2-dioxygenase gene found in the genome of 34melT, suggests that this strain produces melanin by the homogentisate pathway, through the spontaneous oxidation and polymerization of the homogentisate accumulated in the medium (Fig. 3). Additionally, many other genes observed to affect melanin synthesis in P. aeruginosa (52) were also found in 34melT, distributed along the genome (Table 2).
A search for homogentisate synthesis genes in the genomes of the Aeromonas strains included in Table 1 revealed that all of them have the genes involved in this pathway. A. salmonicida A449 (9) and A. media WS (16) and RMT (54) are also known to produce dark diffusible pigments. A deeper analysis of the gene coding for the homogentisate 1,2-dioxygenase in these strains revealed that hmgA is mutated in all of them. In A. salmonicida A449, hmgA is a pseudogene due to a frameshift caused by a single base pair deletion. This gene is interrupted by the insertion of a transposase belonging to the IS66 family in A. media WS and by a nonsense codon in A. media RMT.
Analysis of hmgA in all Aeromonas strains revealed that this gene contains no mutations except in 34melT, the three other known pigment-producing strains mentioned above, and A. salmonicida subsp. salmonicida 01-B526, 2009-144K3, 2004-05MF26, JF3224, and CIP 103209. This gene is also mutated in A. salmonicida subsp. achromogenes AS03. While no data on pigment production are available for this strain, the specific epithet of A. salmonicida subsp. achromogenes refers to a lack of pigmentation. Analysis of genes involved in the homogentisate pathway in AS03 revealed that it contains an additional mutation in hpd, the gene leading to homogentisate synthesis, so it is most likely nonpigmented.
Mutations in the homogentisate 1,2-dioxygenase gene have also been observed to promote melanin synthesis in P. aeruginosa (52). In contrast, in other bacteria that also synthesize melanin through the homogentisate pathway, such as Vibrio cholerae HTX-3, Shewanella colwelliana D, and a strain of Hyphomonas, the accumulation of homogentisate is due to increased amounts of the 4-hydroxyphenylpyruvate dioxygenase that leads to its synthesis, not to a mutation in the homogentisate 1,2-dioxygenase gene (55).
Taking into account that the analysis of the genomes of Aeromonas revealed that (i) all genes involved in the synthesis of homogentisate are present and (ii) the genes coding for the homogentisate 1,2-dioxygenase are defective in known melanogenic strains, it can be proposed that the production of melanin occurs through the oxidation and polymerization of homogentisate accumulated as a result of different mutations in the gene that codes for the enzyme that catalyzes its degradation in A. salmonicida 34melT and A449 and A. media WS and RMT. The fact that four sequenced melanogenic Aeromonas strains have different mutations that inactivate hmgA indicates that these mutations arose independently and suggests that melanin production triggered by these mutations may confer a selective advantage to these bacteria.
While the present work was in the process of revision, melanin synthesis in A. media WS was demonstrated to occur through the homogentisate pathway (56), supporting the genetic evidence presented in this study.
Melanin biosynthesis has been observed in both pathogenic and environmental microorganisms. In pathogens, the capability to synthesize the pigment increases virulence, and in free-living bacteria, it enhances resistance against environmental stress (49). The capability of melanin to sequester metals (57) and to protect cells from UV radiation and oxidative agents (49) may help 34melT to survive under these and other stressful conditions encountered in the extremely polluted river water from which it was isolated.
Resistance to heavy metals.
The last part of the Matanza River (Riachuelo) presents heavy metal contamination (3, 4), so 34melT was expected to possess the capability to deal with these pollutants. Experimental tests showed that this strain was able to grow in the presence of Ag, Cd, Hg, Pb, Zn, and Cu (data not shown). Moreover, Cu increased the synthesis of melanin (Fig. 2), and early pigmentation of the cultures was observed in the presence of 15 ppm Cd, 800 ppm Zn, or 5 ppm Ag, suggesting that the production of melanin could be used by this bacterium to cope with heavy metals.
The search for heavy metal resistance genes in the genome of 34melT revealed three regions containing groups of genes related to mercury, copper, silver, and arsenic resistance.
The first region contains a mer operon that comprises genes coding for three mercuric transport proteins (MerT, MerP, and MerC), the mercuric reductase MerA, the mercury resistance protein MerE, and the transcriptional regulators MerD and MerR (Fig. 4 and Table 3). Interestingly, sequence similarity analysis revealed that this region is almost identical (99% overall nucleotide identity) to the region containing the mer operon in plasmid pMC1 of the distantly related betaproteobacterium Delftia acidovorans (58), strongly suggesting a possible horizontal gene transfer origin. Identical mer regions (100% nucleotide identity) were also found in three plasmids from uncultured bacteria from agricultural soils (59). A search against other Aeromonas sequences revealed the presence of a mer operon with the same genetic organization in plasmid 4 (pAsa4) of A. salmonicida A449 (9), but with a lower (84%) nucleotide identity (Fig. 4). Some of the mer genes are also present in plasmid pR148 (89% nucleotide identity) of A. hydrophila (60) and plasmid pSN254b (84% nucleotide identity) of A. salmonicida 2004-05MF26 (11, 61), along with antimicrobial resistance genes. Highly similar (>80% nucleotide identity) mer operons were also observed in plasmids from both environmental strains and known pathogens, including pVS6 from P. aeruginosa (62), Plasmid1 from Nitrosomonas eutropha (63), and pECL_A from Enterobacter cloacae (64). Although the majority of mer operons similar to that of 34melT are located in plasmids, a high similarity (85% nucleotide identity) was also observed with the mer operons found in a genomic island of the multidrug resistance pathogen Salmonella enterica serovar Typhimurium (65) and in the chromosomes of several bacterial species, such as Acidovorax ebreus (66) and the enteroaggregative E. coli O104:H4 strain 2011C-3493 (67). However, no mer operons were detected in the chromosomes of Aeromonas strains other than 34melT.
FIG 4.
Organization of the mer region present in the genomic island AspecGI-1 of 34melT. Genes located at both sides of AspecGI-1 are also observed flanking a nonrelated genomic island in strain A449. The mer regions found in plasmids in other Aeromonas strains and the highly similar mer region of plasmid pMC1 of D. acidovorans are shown for comparison. Genes related to mobility and resistance to different stress factors are indicated. The arrows indicate gene orientations.
TABLE 3.
Genes associated with heavy metal resistance and homeostasis in 34melT
| Functional assignment | Gene | Locus tag | Note |
|---|---|---|---|
| Mercury resistance | |||
| Transcriptional regulator | merR | K931_05716 | Cluster situated in AspecGI-1 |
| Mercuric transport protein | merT | K931_05721 | |
| Mercuric transport, periplasmic protein | merP | K931_05726 | |
| Mercuric transport protein | merC | K931_05731 | |
| Mercuric reductase | merA | K931_05736 | |
| Transcriptional regulator | merD | K931_05741 | |
| Mercury resistance protein | merE | K931_05746 | |
| Copper and silver resistance | |||
| Multicopper oxidase copper resistance protein | copA | K931_18227 | Cluster unique to 34melT |
| Copper resistance protein B | copB | K931_18222 | |
| Blue copper domain-containing protein | copC | K931_18217 | |
| Heavy metal-translocating P-type ATPase | copF | K931_18197 | |
| Two-component sensor protein | copS | K931_18192 | |
| Two-component heavy metal response regulator | copR | K931_18187 | |
| Copper/silver resistance periplasmic protein | K931_18172 | ||
| Copper/silver efflux system protein | cusA | K931_18167 | |
| Metal binding protein | copG | K931_14343 | |
| Two-component response regulator | copR | K931_12260 | Situated in AspecGI-3 |
| Heavy metal sensor histidine kinase | copS | K931_12255 | |
| Arsenic resistance | |||
| Arsenic operon regulator | arsR | K931_11408 | Cluster exclusive to A. salmonicida |
| Arsenical resistance operon trans-acting repressor | arsD | K931_11403 | |
| Arsenical pump-driving ATPase | arsA | K931_11398 | |
| Arsenite efflux pump | arsB | K931_11393 | |
| Arsenate reductase | arsC | K931_11388 | |
| Flavin-binding monooxygenase | arsO | K931_11383 | |
| Arsenical resistance regulator ArsR family transcriptional regulator | arsR | K931_18237 | |
| Chromium resistance | |||
| Chromate transport protein | chrA | K931_10129 | |
| Chromate resistance regulator | chrR | K931_03730 | |
| Molybdate resistance and homeostasis | |||
| ABC-type molybdate transporter periplasmic binding protein | modA | K931_00175 | |
| Molybdate ABC transporter permease | modB | K931_00170 | |
| ABC-type molybdate transporter ATP-binding protein | modC | K931_00165 | |
| ABC-type molybdate transporter periplasmic binding protein | modA | K931_07464 | |
| ABC-type molybdate transporter permease | modB | K931_07469 | |
| ABC-type molybdate transporter ATP-binding protein | modC | K931_07474 | |
| Heavy metal efflux pumps and transporters | |||
| Cobalt/zinc/cadmium efflux protein | K931_18841 | Situated in AspecGI-4 | |
| Heavy metal efflux pump | czcA | K931_01280 | |
| Heavy metal efflux system periplasmic protein | K931_01275 | ||
| Magnesium/cobalt efflux protein | corB | K931_06121 | |
| Metal ion transporter | K931_16439 | Situated in AspecGI-2 | |
| Zinc/cadmium/mercury/lead-transporting ATPase | zntA | K931_06296 | |
| Cobalt/zinc/cadmium efflux system component | czcD | K931_06311 |
The second region contains copper and silver resistance genes, including genes for periplasmic proteins, efflux pumps, and transcriptional regulators, in a region flanked by transposase genes. We detected the cop system, containing copA, encoding a multicopper oxidase; copB, coding for copper resistance protein B; copC, coding for a blue (type1) copper domain-containing protein; copF, coding for a heavy metal-translocating P-type ATPase; and copRS, encoding a two-component regulatory system (Fig. 5 and Table 3). None of these genes are present in any of the other strains of A. salmonicida subsp. salmonicida, A. salmonicida subsp. achromogenes, and A. salmonicida subsp. masoucida sequenced to date. A BLAST search for similar genes in other Aeromonas species revealed that copRS and copF are present in A. hydrophila SSU (accession no. AGWR00000000). On the other hand, the copABC genes were found in A. hydrophila SSU, A. caviae Ae398, and also A. veronii bv. sobria, in which copA is associated with copper tolerance, based on transposon mutant analysis (68). In addition, genes encoding two components of copper/silver efflux pumps (K931_18167 and K931_18172) are located next to the cop genes (Fig. 5 and Table 3), along with arsR, encoding an arsenical resistance regulator (K931_18237). More genes related to copper resistance were detected in other genomic regions of 34melT, including a metal binding protein gene (K931_14343) similar to copG of Pseudomonas putida that is present in all Aeromonas strains, as well as an additional copy of copRS (K931_12255 and K931_12260) that is absent from the other sequenced Aeromonas strains. CopG has been proposed to be involved in survival in the presence of high levels of bioavailable Cu(II) (69).
FIG 5.

Organization of two genomic regions of 34melT containing heavy metal resistance genes. Those related to resistance to Cu are shown in black, those encoding Cu/Ag efflux pumps are shown in dark gray, and those related to resistance to As are shown in light gray. The arrows indicate gene orientations.
The third genomic region contains a cluster of genes coding for proteins involved in arsenic detoxification and resistance that include the arsenite pump-driving ATPase ArsA, the arsenite efflux pump ArsB, the arsenate reductase ArsC, the flavin-binding monooxygenase ArsO, and the regulators ArsR and ArsD (Fig. 5 and Table 3). Comparison of these genes with those of other Aeromonas strains revealed that strains belonging to different A. salmonicida subspecies contain the whole ars cluster, while most Aeromonas species have only some of the genes. For example, A. hydrophila ATCC 7966T has four ars genes (8).
Apart from those located in the three regions described above, other heavy metal resistance genes were found dispersed in the genome of 34melT, and also in those of other Aeromonas strains. Among them were those encoding the chromate transporter ChrA, the chromate resistance regulator ChrR, two heavy metal efflux pumps (K931_01280 and K931_01275), the Mg/Co efflux protein CorB, the Zn/Cd/Hg/Pb-transporting ATPase ZntA, the Co/Zn/Cd efflux system component CzcD, and a metal ion transporter (K931_16439) (Table 3). Additionally, two copies of modABC, related to molybdate resistance and/or homeostasis, were detected. These genes code for the molybdate ABC transporter, composed of the periplasmic Mo-binding protein ModA, the permease ModB, and the ATP-binding protein ModC. The modABC genes were found in two different genomic regions in 34melT, similar to what was observed for other Aeromonas strains.
A previous work that studied 104 freshwater Aeromonas isolates belonging to 11 different species showed that most of them were sensitive to different metals, including chromium, cobalt, copper, mercury, and zinc (70), indicating that resistance to heavy metals is not widespread among these bacteria. The presence in 34melT of a trove of genes related to heavy metal resistance, some of which are uncommon or unique among related strains, helps us to understand the capability of this microorganism to survive in an environment with elevated heavy metal pollution.
Genomic islands.
Analysis of the region surrounding the mer operon of 34melT revealed the presence of multiple genes coding for transposases and other mobile genetic elements flanking the mer genes that, together with codon usage bias and the lack of synteny with the genomes of related Aeromonas strains, indicated that this region belongs to a genomic island (Fig. 4). Genomic islands (GIs) confer important advantages relative to the lifestyle of a bacterium, contributing to genetic variability, fitness, and competitiveness in different environments (20, 21). With this in mind, a general search for GIs was performed on the genome of 34melT, following the criteria delineated in Materials and Methods and leading to the detection of several putative genomic islands (see Table S1 in the supplemental material).
The largest genomic island (≈34 kb), denominated AspecGI-1, contains the above-described mer operon (Fig. 4). AspecGI-1 could be considered a resistance and fitness island, as it also contains antitoxin genes, genes related to DNA repair and stress responses (umuD and uvrD [encodes a helicase]), and genes encoding regulators belonging to the CheY and XRE families, which may be involved in the response to environmental stimuli. Comparison with the genome of A. salmonicida A449 surprisingly revealed that it has an unrelated GI in the same region, containing many phage genes (Fig. 4). A high degree of synteny was observed at the sides of the GIs in both genomes, with similar (98% amino acid identity) phage integrase genes next to the GIs, suggesting the presence of a possible hot spot for GI insertions. As previously mentioned, in the other Aeromonas strains that contain mer genes, these genes are located in plasmids. In pR148 of A. hydrophila, plasmid 4 (pAsa4) of A. salmonicida A449, and plasmid pSN254b of A. salmonicida 2004-05MF26, the mer operons are situated in regions that also contain several transposase genes. However, these plasmids carry genes that provide resistance against several antibiotics (9, 60, 61), while AspecGI-1 does not contain any antibiotic resistance genes (Fig. 4; see Table S1 in the supplemental material).
Another large GI, denominated AspecGI-2, contains a large region (87% of the GI) identical (100% nucleotide identity) to the central part of Tn1721 found in plasmid pFBAOT6 from A. caviae (71). However, no other genes similar to those present in pFBAOT6 and no plasmid maintenance and partitioning functions were found in the genome of 34melT. This GI contains genes related to stress responses along with mobile genetic elements, including a Tn3 family transposase. Genes found in AspecGI-2 include genes coding for several transcriptional regulators, an antitoxin module, two transporter proteins, and two zinc-binding dehydrogenases and genes involved in detoxification, such as genes that code for a glutathione S-transferase and three methionine sulfoxide reductases that may be involved in the repair of proteins damaged by oxidative stress (72) (see Table S1). AspecGI-3 and AspecGI-4 also carry genes related to stress responses. AspecGI-3 contains the genes for a unique cold shock protein and a hydroxyisourate hydrolase (whose possible function in 34melT is unclear, as other enzymes involved in the catabolism of urate to allantoin were not found). AspecGI-4 contains genes coding for two cold shock-like proteins, a Co/Zn/Cd efflux protein, an outer membrane receptor for ferrienterochelin and colicins, an ABC-type transporter periplasmic binding protein, several hypothetical proteins, and two integrases (see Table S1).
Three of the GIs found in the genome of 34melT contained phage-related genes. An incomplete prophage, with a 41.3% G+C content, was detected in AspecGI-5 by use of the PHAST and PHISPY programs. It includes the phage attachment sites attL and attR, a tail fiber protein gene (K931_13538) similar to that of Aeromonas phage 65 (73), and several genes related to those of three other phages (Fig. 6). Genes encoding a portal protein (K931_13473), a prohead peptidase (K931_13478), a major capsid protein (K931_13483), a head-tail connector protein (K931_13488), and three hypothetical phage proteins (K931_13498, K931_13518, and K931_13528) similar to those of Vibrio phage henriette 12B8 (accession no. NC_021073.1) were also detected, together with a site-specific recombinase gene (K931_13548) related to that of Bacillus phage Wβ (74) and a terminase gene similar to one found in Xanthomonas phage phiL7 (75).
FIG 6.
Genetic organization of AspecGI-5, which contains a mosaic of genes similar to those found in four previously described phages, as indicated by different shading. Phage attachment sites (attL and attR) are shown. Other genes encoding hypothetical proteins are indicated in white. The arrows indicate gene orientations.
The mosaicism of this region, containing genes similar to those of several different phages, suggests that it may correspond to a novel bacteriophage. Genes encoding phage-related proteins were also found in other regions of the genome, in GIs containing mostly genes for hypothetical proteins, such as AspecGI-6 and AspecGI-7 (see Table S1 in the supplemental material). Interestingly, AspecGI-6 is located adjacent to ssrA (K931_00925), in the same location observed for a phage-related GI of A. hydrophila PPD134/91 and GIs of other bacteria, suggesting that this locus acts as an insertion site for cryptic phages and pathogenicity islands (76).
Two metabolic GIs, AspecGI-8 and AspecGI-9, contain many genes related to cell wall synthesis. AspecGI-8 includes a novel cluster of genes involved in the biosynthesis of the O-antigen polysaccharide that differs in genetic organization compared to the corresponding genes in other Aeromonas strains (77). AspecGI-9 has a Vibrio core oligosaccharide biosynthesis gene cluster and also encodes transcriptional regulators, including a phage regulator, and carries two genes similar to those of restriction modification systems. Several additional GIs were detected, including AspecGI-10, AspecGI-11, and AspecGI-12, which are adjacent to tRNA genes, and AspecGI-13, which carries DNA repair genes (see Table S1 in the supplemental material).
A comparison of all genomic islands by using BLASTn against the WGS database confirmed that none were present in other Aeromonas strains, except for AspecGI-13, which was also found in A. caviae YL12 (accession no. JOVP00000000) and in A. hydrophila M062 (78).
Despite the fact that genome sequences for several Aeromonas strains are available, the occurrence of GIs in these bacteria was only very recently analyzed in isolates of the fish pathogen A. salmonicida subsp. salmonicida (79). GIs belong to the flexible genetic pool, as they normally carry genes that are not essential for growth but provide advantages under unfavorable conditions (20). An increased genetic versatility can contribute to the colonization of some habitats, such as those containing chemical compounds derived from anthropogenic activities, and lead to successful adaptation to changing growth conditions (21). The genetic flexibility of 34melT was reflected by the presence of many GIs encoding traits that could increase its fitness and survival, suggesting that acquisition of these genes has helped this microorganism to adapt to harsh environmental conditions.
Nitrogen metabolism and resistance to toxic nitrogen intermediates.
In highly contaminated environments, such as the isolation site of 34melT, oxygen availability is scarce, favoring the growth of microorganisms that can adapt to diverse oxygen levels. Aeromonas species have been associated with dissimilatory nitrate reduction activity in anaerobic river sediments (80). A. salmonicida subsp. pectinolytica is a facultative aerobe that reduces nitrate to nitrite and can ferment several substrates (1). In bacteria, reduction of nitrate to nitrite can be performed by different types of nitrate reductases. Strain 34melT has a group of genes involved in periplasmic nitrate reduction (nap; K931_00200 to K931_00235) and two genes coding for the nitrate/nitrite two-component sensor regulator (K931_00245 and K931_00250), similar to those described for A. hydrophila ATCC 7966T (8) and present in most of the Aeromonas strains currently sequenced. The physiological function of Nap is uncertain even for the well-studied denitrifying bacterium P. aeruginosa (81), and it has been proposed to participate in redox balancing by dissipating excess reducing power in the nondenitrifier Rhodobacter sphaeroides (82). The genes responsible for the conversion of nitrite to nitric oxide, an intermediary step in denitrification, were not found in the genome of 34melT, suggesting that it cannot carry out the complete denitrification pathway. In this metabolic scenario, the periplasmic Nap pathway of 34melT may be either dissimilatory or indirectly respiratory via the consumption of electrons derived from NADH, as proposed for A. hydrophila ATCC 7966T (8).
Despite the absence of a complete denitrification pathway, it is interesting that the norRVW genes (K931_10458, K931_10463, and K931_10468), which code for proteins involved in the conversion of nitric oxide (NO) to nitrous oxide (N2O), and nosZ (K931_21231), coding for the nitrous oxide reductase NosZ (EC 1.7.2.4), which catalyzes the conversion of nitrous oxide to N2, i.e., the last step in denitrification, were found in 34melT. Genes coding for the transcriptional regulator NosR (K931_21226), the copper-binding periplasmic protein NosD (K931_21236), the NosF ATPase (K931_21241), the NosL lipoprotein (K931_21884), and the multicopper enzyme maturation ABC transporter NosY (K931_21889) were also detected. Among the genes involved in nitrogen metabolism commonly present in other Aeromonas strains are the norRVW genes, which are associated with detoxification processes (83). In contrast, nos genes are present only in 34melT, A. media WS, and A. sanarellii LMG 24682. NosZ removes nitrous oxide from the environment and is well studied in denitrifying bacteria (84). Nitrous oxide is a potent greenhouse gas emitted from soils and aquatic environments, including those exposed to anthropogenic activities, such as wastewater treatment plants. This compound can be produced both by nonbiological processes and as a result of nitrifying and denitrifying metabolism (85, 86). A recent study identified nos genes in some Pseudomonas strains that are not able to carry out the complete conversion of nitrate to N2, and it has been proposed that in these bacteria these genes may have a role in the detoxification of nitrous oxide present in the environment (86). A molecular assessment of the microbial diversity in the Matanza River showed a great abundance of potential denitrifiers (5), which are considered the main biological source of N2O. In this context, the capability of 34melT to detoxify toxic nitrogen intermediates may be a selective advantage.
Pathogenicity-related genes.
The genus Aeromonas contains many known pathogens that affect different animals, including humans. A. salmonicida subsp. salmonicida is the causative agent of furunculosis, considered an important freshwater fish disease in aquaculture, and strains belonging to A. salmonicida subsp. achromogenes, A. salmonicida subsp. masoucida, and A. salmonicida subsp. smithia are also fish pathogens (87). To date, A. salmonicida subsp. pectinolytica has been isolated solely from river water environments (1, 88), and no pathogenicity has been reported for this subspecies.
Among the main virulence factors in Aeromonas strains are genes corresponding to toxins and secretion systems. The type III secretion system (T3SS) genes are associated with virulence in A. salmonicida subsp. salmonicida (89). In A449, 35 of these genes are located in plasmid 5, and 1 is chromosomal (9). A study that analyzed the presence of genes related to the T3SS in different strains by dot blot hybridization reported their detection in 34melT (90), while a later, PCR-based assessment (91) reported that none were present in this strain. In view of these contrasting results, the genome of 34melT was screened for these genes. None of the 36 genes for the T3SS were found in the 34melT genome.
A search for genes encoding the type VI secretion system (T6SS), another virulence-associated secretion mechanism discovered in A. hydrophila that comprises nearly 20 proteins, revealed that T6SS genes were not present in the genome of 34melT, except for two copies of the gene encoding the hemolysin-coregulated protein (Hcp) and two copies of the gene encoding the valine-glycine repeat G protein (VgrG). These are structural and effector proteins of the T6SS, but it is unlikely that these proteins are functional in 34melT, as studies performed with A. hydrophila have demonstrated that the complete T6SS is necessary for the translocation of VgrG (92).
A complete T2SS gene complement (K931_09935 to K931_09990, K931_17071, and K931_17076) was found in the 34melT genome, with the same genetic organization as that observed in other sequenced Aeromonas strains. This system is responsible for the secretion of some virulence factors, such as hemolysins (93). Although hemolysis on sheep blood agar is a variable characteristic for A. salmonicida subsp. pectinolytica (1), 34melT is clearly hemolytic. The genes for two β-barrel pore-forming toxins, an aerolysin (K931_20432) and a hemolysin (K931_00580), similar (99% amino acid identity) to AerA and AerB of A. salmonicida A449, respectively, were found in the 34melT genome and could be responsible for its hemolytic activity.
The aerolysin AerA was early described as a lytic exotoxin in A. hydrophila and is one of the major virulence factors produced by this microorganism. It forms pores in the host cell membrane through a general mechanism resembling that of the Bacillus anthracis protective antigen (93, 94). Our preliminary experimental results have shown that production and secretion of the aerolysin of 34melT, which shares 96% amino acid identity with that of A. hydrophila ATCC 7966T, depend on culture conditions (M. E. Pavan, E. E. Pavan, N. I. López, and M. J. Pettinari, unpublished data). A detailed analysis of the hemolysin AerB of 34melT revealed that it has three defined regions: a hemolysin N region, a leukocidin region, and a ricin region. Similar hemolysins were found in A. salmonicida subsp. salmonicida A449 and A. salmonicida subsp. masoucida NBRC 13784, with 99% amino acid identity, in several strains of A. hydrophila (91%), and in A. aquariorum AAK1 (91%).
Genes coding for several extracellular enzymes, such as an elastase (K931_13913), a collagenase (K931_07126), and several chitinases, were also detected in the genome of 34melT. The elastase of Aeromonas veronii bv. sobria plays an indirect role in virulence through the activation of the aerolysin (95), and the major secreted elastase of A. hydrophila is essential for pathogenicity (96). However, in A. salmonicida A449, the elastase gene (ASA_3440) contains a frameshift due to a single base pair deletion, and a pseudogene was also observed for A. salmonicida 01-B526, suggesting that this gene is not essential for pathogenicity in these strains. The collagenase was observed to be involved in pathogenicity in A. veronii RY001, as a mutant deficient in the production of this protein had reduced adhesion and invasion abilities on carp cells (97).
Three putative chitinase genes were also found in the 34melT genome. Two of them (K931_03026 and K931_12138) encode proteins similar to ChiB and CdxA of A. salmonicida A449, respectively (9). The gene coding for Chi2, another chitinase of A449, was found to be disrupted by two transposases in 34melT. The gene for the third chitinase found in 34melT (K931_03036) has no homologues in A449.
Although all these enzymes have been associated with virulence in some pathogenic bacteria, they participate in the degradation of different substrates and can serve nutritional purposes (98, 99). In 34melT, these enzymes could increase the range of carbon and energy sources that can be used by this microorganism.
Conclusions.
Analysis of the genome of A. salmonicida subsp. pectinolytica 34melT revealed metabolic versatility, as it can potentially use a wide variety of substrates and tolerates the environmental challenges that this bacterium must face in the heavily contaminated river from which it was isolated. Genomic analysis shed light on the two main characteristics of this microorganism, i.e., pectin lysis and melanin synthesis. The genes for several pectinases not found in any other Aeromonas strain were organized in a cluster unique to 34melT, containing all genes needed for the complete degradation of pectin. When melanin biosynthesis pathways were analyzed, no genes coding for known enzymes leading to the synthesis of melanin through l-DOPA were detected. The discovery of a transposon insertion in the gene that codes for the homogentisate 1,2-dioxygenase led to the proposal that melanin synthesis in 34melT occurs through the homogentisate pathway. Genome-wide analyses of other melanin-synthesizing Aeromonas strains revealed different mutations in their homogentisate 1,2-dioxygenase genes, suggesting that this is the common pathway for melanin synthesis in these bacteria. Copper, silver, arsenate, and chromate resistance genes were identified, along with others related to oxidative and nitrosative stress. Some of these genes seem to have been acquired horizontally, enhancing the survival capability of this bacterium. Thirteen putative genomic islands, some of them carrying fitness-related genes, such as those involved in resistance to mercury, were found in the genome. These characteristics, together with melanin production and the ability to use different substrates, including pectin and chitin, may explain the ability of 34melT to thrive in an extremely polluted environment.
Supplementary Material
ACKNOWLEDGMENTS
N.I.L., M.J.P., and L.L. are career investigators from CONICET. This work was partially supported by the University of Buenos Aires.
Footnotes
Supplemental material for this article may be found at http://dx.doi.org/10.1128/AEM.00903-15.
REFERENCES
- 1.Pavan ME, Abbott SL, Zorzópulos J, Janda JM. 2000. Aeromonas salmonicida subsp. pectinolytica subsp. nov., a new pectinase-positive subspecies isolated from a heavily polluted river. Int J Syst Evol Microbiol 50:1119–1124. doi: 10.1099/00207713-50-3-1119. [DOI] [PubMed] [Google Scholar]
- 2.Acumar Autoridad de Cuenca Matanza Riachuelo. 2012. Sistema de indicadores. Publicación anual 2012. http://www.acumar.gov.ar/content/documents/8/2048.pdf. [Google Scholar]
- 3.Ronco A, Peluso L, Jurado M, Rossini GB, Salibian A. 2008. Screening of sediment pollution in tributaries from the southwestern coast of the Río de la Plata Estuary. Lat Am J Sedimentol Basin Anal 15:67–75. [Google Scholar]
- 4.Magdaleno A, Puig A, de Cabo L, Salinas C, Arreghini S, Korol S, Bevilacqua S, López L, Moretton J. 2001. Water pollution in an urban Argentine river. Bull Environ Contam Toxicol 67:408–415. doi: 10.1007/s001280139. [DOI] [PubMed] [Google Scholar]
- 5.Pavan ME, Carbonelli D, Zorzópulos J. 2002. Molecular approach to microbial diversity studies in the heavily polluted Matanza River. Rev Museo Argent Cienc Nat 4:139–144. [Google Scholar]
- 6.Martin-Carnahan A, Joseph SW. 2005. Aeromonadaceae, p 556–580. In Garrity GM. (ed), Bergey's manual of systematic bacteriology, 2nd ed, vol 2 Springer-Verlag, New York, NY. [Google Scholar]
- 7.Roger F, Marchandin H, Jumas-Bilak E, Kodjo A, colBVH Study Group, Lamy B. 2012. Multilocus genetics to reconstruct aeromonad evolution. BMC Microbiol 12:62. doi: 10.1186/1471-2180-12-62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Seshadri R, Joseph SW, Chopra AK, Sha J, Shaw J, Graf J, Haft D, Wu M, Ren Q, Rosovitz MJ, Madupu R, Tallon L, Kim M, Jin S, Vuong H, Stine OC, Ali A, Horneman AJ, Heidelberg JF. 2006. Genome sequence of Aeromonas hydrophila ATCC 7966T: jack of all trades. J Bacteriol 188:8272–8282. doi: 10.1128/JB.00621-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Reith ME, Singh RK, Curtis B, Boyd JM, Bouevitch A, Kimball J, Munholland J, Murphy C, Sarty D, Williams J, Nash JH, Johnson SC, Brown LL. 2008. The genome of Aeromonas salmonicida subsp. salmonicida A449: insights into the evolution of a fish pathogen. BMC Genomics 9:427. doi: 10.1186/1471-2164-9-427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Charette SJ, Brochu F, Boyle B, Filion G, Tanaka KH, Derome N. 2012. Draft genome sequence of the virulent strain 01-B526 of the fish pathogen Aeromonas salmonicida. J Bacteriol 194:722–723. doi: 10.1128/JB.06276-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Vincent AT, Tanaka KH, Trudel MV, Frenette M, Derome N, Charette SJ. 2015. Draft genome sequences of two Aeromonas salmonicida subsp. salmonicida isolates harboring plasmids conferring antibiotic resistance. FEMS Microbiol Lett 362:1–4. doi: 10.1093/femsle/fnv002. [DOI] [PubMed] [Google Scholar]
- 12.Han JE, Kim JH, Shin SP, Jun JW, Chai JY, Park SC. 2013. Draft genome sequence of Aeromonas salmonicida subsp. achromogenes AS03, an atypical strain isolated from crucian carp (Carassius carassius) in the Republic of Korea. Genome Announc 1:e00791-13. doi: 10.1128/genomeA.00791-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Valdes N, Espinoza C, Sanhueza L, Gonzalez A, Corsini G, Tello M. 2015. Draft genome sequence of the Chilean isolate Aeromonas salmonicida strain CBA100. FEMS Microbiol Lett 362:fnu062. doi: 10.1093/femsle/fnu062. [DOI] [PubMed] [Google Scholar]
- 14.Beatson SA, das Graças de Luna M, Bachmann NL, Alikhan NF, Hanks KR, Sullivan MJ, Wee BA, Freitas-Almeida AC, Dos Santos PA, de Melo JT, Squire DJ, Cunningham AF, Fitzgerald JR, Henderson IR. 2011. Genome sequence of the emerging pathogen Aeromonas caviae. J Bacteriol 193:1286–1287. doi: 10.1128/JB.01337-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Li Y, Liu Y, Zhou Z, Huang H, Ren Y, Zhang Y, Li G, Zhou Z, Wang L. 2011. Complete genome sequence of Aeromonas veronii strain B565. J Bacteriol 193:3389–3390. doi: 10.1128/JB.00347-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Chai B, Wang H, Chen X. 2012. Draft genome sequence of high-melanin-yielding Aeromonas media strain WS. J Bacteriol 194:6693–6694. doi: 10.1128/JB.01807-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wu CJ, Wang HC, Chen CS, Shu HY, Kao AW, Chen PL, Ko WC. 2012. Genome sequence of a novel human pathogen, Aeromonas aquariorum. J Bacteriol 194:4114–4115. doi: 10.1128/JB.00621-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Spataro N, Farfán M, Albarral V, Sanglas A, Lorén JG, Fusté MC, Bosch E. 2013. Draft genome sequence of Aeromonas molluscorum strain 848TT, isolated from bivalve molluscs. Genome Announc 1:e00382-13. doi: 10.1128/genomeA.00382-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Farfán M, Spataro N, Sanglas A, Albarral V, Lorén JG, Bosch E, Fusté MC. 2013. Draft genome sequence of the Aeromonas diversa type strain. Genome Announc 1:e00330-13. doi: 10.1128/genomeA.00330-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hacker J, Carniel E. 2001. Ecological fitness, genomic islands and bacterial pathogenicity. A Darwinian view of the evolution of microbes. EMBO Rep 2:376–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Dobrindt U, Hochhut B, Hentschel U, Hacker J. 2004. Genomic islands in pathogenic and environmental microorganisms. Nat Rev Microbiol 2:414–424. doi: 10.1038/nrmicro884. [DOI] [PubMed] [Google Scholar]
- 22.Pavan ME, Pavan EE, López NI, Levin L, Pettinari MJ. 2013. Genome sequence of the melanin-producing extremophile Aeromonas salmonicida subsp. pectinolytica strain 34melT. Genome Announc 1:e00675-13. doi: 10.1128/genomeA.00675-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chevreux B, Wetter T, Suhai S. 1999. Genome sequence assembly using trace signals and additional sequence information, p 45–56. In Computer science and biology. Proceedings of the German Conference on Bioinformatics GCB '99. GCB, Hannover, Germany. [Google Scholar]
- 24.Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O. 2008. The RAST server: rapid annotations using subsystems technology. BMC Genomics 9:75. doi: 10.1186/1471-2164-9-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Markowitz VM, Chen IM, Palaniappan K, Chu K, Szeto E, Pillay M, Ratner A, Huang J, Woyke T, Huntemann M, Anderson I, Billis K, Varghese N, Mavromatis K, Pati A, Ivanova NN, Kyrpides NC. 2014. IMG 4 version of the integrated microbial genomes comparative analysis system. Nucleic Acids Res 42:D560–D567. doi: 10.1093/nar/gkt963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25:3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Colston SM, Fullmer MS, Beka L, Lamy B, Gogarten JP, Graf J. 2014. Bioinformatic genome comparisons for taxonomic and phylogenetic assignments using Aeromonas as a test case. mBio 5:e02136. doi: 10.1128/mBio.02136-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tekedar HC, Waldbieser GC, Karsi A, Liles MR, Griffin MJ, Vamenta S, Sonstegard T, Hossain M, Schroeder SG, Khoo L, Lawrence ML. 2013. Complete genome sequence of a channel catfish epidemic isolate, Aeromonas hydrophila strain ML09-119. Genome Announc 1:e00755-13. doi: 10.1128/genomeA.00755-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Wang HC, Ko WC, Shu HY, Chen PL, Wang YC, Wu CJ. 2014. Genome sequence of Aeromonas taiwanensis LMG 24683T, a clinical wound isolate from Taiwan. Genome Announc 2:e00579-14. doi: 10.1128/genomeA.00579-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Henson R, Cetto L. 2005. The MATLAB bioinformatics toolbox. In Jorde L, Little P, Dunn M, Subramaniam S (ed), Encyclopedia of genetics, genomics, proteomics and bioinformatics. John Wiley & Sons, Hoboken, NJ. doi: 10.1002/047001153X.g409308. [DOI] [Google Scholar]
- 31.Auch AF, von Jan M, Klenk H, Göker M. 2010. Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci 2:117–134. doi: 10.4056/sigs.531120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Langille MG, Brinkman FS. 2009. IslandViewer: an integrated interface for computational identification and visualization of genomic islands. Bioinformatics 25:664–665. doi: 10.1093/bioinformatics/btp030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Waack S, Keller O, Asper R, Brodag T, Damm C, Fricke WF, Surovcik K, Meinicke P, Merkl R. 2006. Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models. BMC Bioinformatics 7:142. doi: 10.1186/1471-2105-7-142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Laing C, Buchanan C, Taboada EN, Zhang Y, Kropinski A, Villegas A, Thomas JE, Gannon VP. 2010. Pan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions. BMC Bioinformatics 11:461. doi: 10.1186/1471-2105-11-461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Akhter S, Aziz RK, Edwards RA. 2012. PhiSpy: a novel algorithm for finding prophages in bacterial genomes that combines similarity- and composition-based strategies. Nucleic Acids Res 40:e126. doi: 10.1093/nar/gks406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zhou Y, Liang Y, Lynch KH, Dennis JJ, Wishart DS. 2011. PHAST: a fast phage search tool. Nucleic Acids Res 39:W347–W352. doi: 10.1093/nar/gkr485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Carattoli A, Zankari E, García-Fernández A, Voldby Larsen M, Lund O, Villa L, Møller Aarestrup F, Hasman H. 2014. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother 58:3895–3903. doi: 10.1128/AAC.02412-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Chen LH, Yang J, Yu J, Yao ZJ, Sun LL, Shen Y, Jin Q. 2005. VFDB: a reference database for bacterial virulence factors. Nucleic Acids Res 33:D325–D328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Sharma N, Rathore M, Sharma M. 2013. Microbial pectinase: sources, characterization and applications. Rev Environ Sci Biotechnol 12:45–60. doi: 10.1007/s11157-012-9276-9. [DOI] [Google Scholar]
- 40.Ramos AM, Gally M, García MC, Levin L. 2010. Pectinolytic enzyme production by Colletotrichum truncatum, causal agent of soybean anthracnose. Rev Iberoam Micol 27:186–190. doi: 10.1016/j.riam.2010.06.002. [DOI] [PubMed] [Google Scholar]
- 41.Glasner JD, Yang CH, Reverchon S, Hugouvieux-Cotte-Pattat N, Condemine G, Bohin JP, Van Gijsegem F, Yang S, Franza T, Expert D, Plunkett G III, San Francisco MJ, Charkowski AO, Py B, Bell K, Rauscher L, Rodriguez-Palenzuela P, Toussaint A, Holeva MC, He SY, Douet V, Boccara M, Blanco C, Toth I, Anderson BD, Biehl BS, Mau B, Flynn SM, Barras F, Lindeberg M, Birch PR, Tsuyumu S, Shi X, Hibbing M, Yap MN, Carpentier M, Dassa E, Umehara M, Kim JF, Rusch M, Soni P, Mayhew GF, Fouts DE, Gill SR, Blattner FR, Keen NT, Perna NT. 2011. Genome sequence of the plant-pathogenic bacterium Dickeya dadantii 3937. J Bacteriol 193:2076–2077. doi: 10.1128/JB.01513-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kazemi-Pour N, Condemine G, Hugouvieux-Cotte-Pattat N. 2004. The secretome of the plant pathogenic bacterium Erwinia chrysanthemi. Proteomics 4:3177–3186. doi: 10.1002/pmic.200300814. [DOI] [PubMed] [Google Scholar]
- 43.Shevchik VE, Kester HC, Benen JA, Visser J, Robert-Baudouy J, Hugouvieux-Cotte-Pattat N. 1999. Characterization of the exopolygalacturonate lyase PelX of Erwinia chrysanthemi 3937. J Bacteriol 181:1652–1663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Blot N, Berrier C, Hugouvieux-Cotte-Pattat N, Ghazi A, Condemine G. 2002. The oligogalacturonate-specific porin KdgM of Erwinia chrysanthemi belongs to a new porin family. J Biol Chem 277:7936–7944. doi: 10.1074/jbc.M109193200. [DOI] [PubMed] [Google Scholar]
- 45.Nosanchuk JD, Casadevall A. 2003. The contribution of melanin to microbial pathogenesis. Cell Microbiol 5:203–223. doi: 10.1046/j.1462-5814.2003.00268.x. [DOI] [PubMed] [Google Scholar]
- 46.Donlon J, McGettigan S, O'Brien P, Ó Carra P. 1983. Re-appraisal of the nature of the pigment produced by Aeromonas salmonicida. FEMS Microbiol Let 19:285–290. doi: 10.1111/j.1574-6968.1983.tb00558.x. [DOI] [Google Scholar]
- 47.Gibson LF, George AM. 1998. Melanin and novel melanin precursors from Aeromonas media. FEMS Microbiol Lett 169:261–268. doi: 10.1111/j.1574-6968.1998.tb13327.x. [DOI] [Google Scholar]
- 48.Wan X, Liu HM, Liao Y, Su Y, Geng J, Yang MY, Chen XD, Shen P. 2007. Isolation of a novel strain of Aeromonas media producing high levels of DOPA-melanin and assessment of the photoprotective role of the melanin in bioinsecticide applications. J Appl Microbiol 103:2533–2541. doi: 10.1111/j.1365-2672.2007.03502.x. [DOI] [PubMed] [Google Scholar]
- 49.Plonka PM, Grabacka M. 2006. Melanin synthesis in microorganisms—biotechnological and medical aspects. Acta Biochim Pol 53:429–443. [PubMed] [Google Scholar]
- 50.Wan X, Chai B, Liao Y, Su Y, Ye T, Shen P, Chen X. 2009. Molecular and biochemical characterization of a distinct tyrosinase involved in melanin production from Aeromonas media. Appl Microbiol Biotechnol 82:261–269. doi: 10.1007/s00253-008-1742-5. [DOI] [PubMed] [Google Scholar]
- 51.Yabuuchi E, Ohyama A. 1972. Characterization of “pyomelanin”-producing strains of Pseudomonas aeruginosa. Int J Syst Bacteriol 22:53–64. doi: 10.1099/00207713-22-2-53. [DOI] [Google Scholar]
- 52.Hunter RC, Newman DK. 2010. A putative ABC transporter, hatABCDE, is among molecular determinants of pyomelanin production in Pseudomonas aeruginosa. J Bacteriol 192:5962–5971. doi: 10.1128/JB.01021-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Rodríguez-Rojas A, Mena A, Martín S, Borrell N, Oliver A, Blázquez J. 2009. Inactivation of the hmgA gene of Pseudomonas aeruginosa leads to pyomelanin hyperproduction, stress resistance and increased persistence in chronic lung infection. Microbiology 155:1050–1057. doi: 10.1099/mic.0.024745-0. [DOI] [PubMed] [Google Scholar]
- 54.Allen DA, Austin B, Colwell RR. 1983. Aeromonas media, a new species isolated from river water. Int J Syst Bacteriol 33:599–604. doi: 10.1099/00207713-33-3-599. [DOI] [Google Scholar]
- 55.Kotob SI, Coon SL, Quintero EJ, Weiner RM. 1995. Homogentisic acid is the primary precursor of melanin synthesis in Vibrio cholerae, a Hyphomonas strain, and Shewanella colwelliana. Appl Environ Microbiol 61:1620–1622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Wang H, Qiao Y, Chai B, Qiu C, Chen X. 2015. Identification and molecular characterization of the homogentisate pathway responsible for pyomelanin production, the major melanin constituents in Aeromonas media WS. PLoS One 10:e0120923. doi: 10.1371/journal.pone.0120923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Hong L, Simon JD. 2007. Current understanding of the binding sites, capacity, affinity, and biological significance of metals in melanin. J Phys Chem B 111:7938–7947. doi: 10.1021/jp071439h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Schleinitz KM, Kleinsteuber S, Vallaeys T, Babel W. 2004. Localization and characterization of two novel genes encoding stereospecific dioxygenases catalyzing 2(2,4-dichlorophenoxy)propionate cleavage in Delftia acidovorans MC1. Appl Environ Microbiol 70:5357–5365. doi: 10.1128/AEM.70.9.5357-5365.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Sen D, Van der Auwera GA, Rogers LM, Thomas CM, Brown CJ, Top EM. 2011. Broad-host-range plasmids from agricultural soils have IncP-1 backbones with diverse accessory genes. Appl Environ Microbiol 77:7975–7983. doi: 10.1128/AEM.05439-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Del Castillo CS, Hikima J, Jang HB, Nho SW, Jung TS, Wongtavatchai J, Kondo H, Hirono I, Takeyama H, Aoki T. 2013. Comparative sequence analysis of a multidrug-resistant plasmid from Aeromonas hydrophila. Antimicrob Agents Chemother 57:120–129. doi: 10.1128/AAC.01239-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.McIntosh D, Cunningham M, Ji B, Fekete FA, Parry EM, Clark SE, Zalinger ZB, Gilg IC, Danner GR, Johnson KA, Beattie M, Ritchie R. 2008. Transferable, multiple antibiotic and mercury resistance in Atlantic Canadian isolates of Aeromonas salmonicida subsp. salmonicida is associated with carriage of an IncA/C plasmid similar to the Salmonella enterica plasmid pSN254. J Antimicrob Chemother 61:1221–1228. doi: 10.1093/jac/dkn123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Petrovski S, Stanisich VA. 2010. Tn502 and Tn512 are res site hunters that provide evidence of resolvase-independent transposition to random sites. J Bacteriol 192:1865–1874. doi: 10.1128/JB.01322-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Stein LY, Arp DJ, Berube PM, Chain PS, Hauser L, Jetten MS, Klotz MG, Larimer FW, Norton JM, Op den Camp HJ, Shin M, Wei X. 2007. Whole-genome analysis of the ammonia-oxidizing bacterium, Nitrosomonas eutropha C91: implications for niche adaptation. Environ Microbiol 9:2993–3007. doi: 10.1111/j.1462-2920.2007.01409.x. [DOI] [PubMed] [Google Scholar]
- 64.Ren Y, Ren Y, Zhou Z, Guo X, Li Y, Feng L, Wang L. 2010. Complete genome sequence of Enterobacter cloacae subsp. cloacae type strain ATCC 13047. J Bacteriol 192:2463–2464. doi: 10.1128/JB.00067-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Izumiya H, Sekizuka T, Nakaya H, Taguchi M, Oguchi A, Ichikawa N, Nishiko R, Yamazaki S, Fujita N, Watanabe H, Ohnishi M, Kuroda M. 2011. Whole-genome analysis of Salmonella enterica serovar Typhimurium T000240 reveals the acquisition of a genomic island involved in multidrug resistance via IS1 derivatives on the chromosome. Antimicrob Agents Chemother 55:623–630. doi: 10.1128/AAC.01215-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Byrne-Bailey KG, Weber KA, Chair AH, Bose S, Knox T, Spanbauer TL, Chertkov O, Coates JD. 2010. Completed genome sequence of the anaerobic iron-oxidizing bacterium Acidovorax ebreus strain TPSY. J Bacteriol 192:1475–1476. doi: 10.1128/JB.01449-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Ahmed SA, Awosika J, Baldwin C, Bishop-Lilly KA, Biswas B, Broomall S, Chain PS, Chertkov O, Chokoshvili O, Coyne S, Davenport K, Detter JC, Dorman W, Erkkila TH, Folster JP, Frey KG, George M, Gleasner C, Henry M, Hill KK, Hubbard K, Insalaco J, Johnson S, Kitzmiller A, Krepps M, Lo CC, Luu T, McNew LA, Minogue T, Munk CA, Osborne B, Patel M, Reitenga KG, Rosenzweig CN, Shea A, Shen X, Strockbine N, Tarr C, Teshima H, van Gieson E, Verratti K, Wolcott M, Xie G, Sozhamannan S, Gibbons HS. 2012. Genomic comparison of Escherichia coli O104:H4 isolates from 2009 and 2011 reveals plasmid, and prophage heterogeneity, including Shiga toxin encoding phage stx2. PLoS One 7:e48228. doi: 10.1371/journal.pone.0048228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Francki KT, Chang BJ, Mee BJ, Collignon PJ, Susai V, Keese PK. 2000. Identification of genes associated with copper tolerance in an adhesion-defective mutant of Aeromonas veronii biovar sobria. FEMS Immunol Med Microbiol 29:115–121. doi: 10.1111/j.1574-695X.2000.tb01513.x. [DOI] [PubMed] [Google Scholar]
- 69.Wu X, Monchy S, Taghavi S, Zhu W, Ramos J, van der Lelie D. 2011. Comparative genomics and functional analysis of niche-specific adaptation in Pseudomonas putida. FEMS Microbiol Rev 35:299–323. doi: 10.1111/j.1574-6976.2010.00249.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Huddleston JR, Zak JC, Jeter RM. 2006. Antimicrobial susceptibilities of Aeromonas spp. isolated from environmental sources. Appl Environ Microbiol 72:7036–7042. doi: 10.1128/AEM.00774-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Rhodes G, Parkhill J, Bird C, Ambrose K, Jones MC, Huys G, Swings J, Pickup RW. 2004. Complete nucleotide sequence of the conjugative tetracycline resistance plasmid pFBAOT6, a member of a group of IncU plasmids with global ubiquity. Appl Environ Microbiol 70:7497–7510. doi: 10.1128/AEM.70.12.7497-7510.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Weissbach H, Resnick L, Brot N. 2005. Methionine sulfoxide reductases: history and cellular role in protecting against oxidative damage. Biochim Biophys Acta 1703:203–212. doi: 10.1016/j.bbapap.2004.10.004. [DOI] [PubMed] [Google Scholar]
- 73.Petrov VM, Ratnayaka S, Nolan JM, Miller ES, Karam JD. 2010. Genomes of the T4-related bacteriophages as windows on microbial genome evolution. Virol J 7:292. doi: 10.1186/1743-422X-7-292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Schuch R, Fischetti VA. 2006. Detailed genomic analysis of the Wβ and γ phages infecting Bacillus anthracis: implications for evolution of environmental fitness and antibiotic resistance. J Bacteriol 188:3037–3051. doi: 10.1128/JB.188.8.3037-3051.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Lee CN, Lin JW, Weng SF, Tseng YH. 2009. Genomic characterization of the intron-containing T7-like phage phiL7 of Xanthomonas campestris. Appl Environ Microbiol 75:7828–7837. doi: 10.1128/AEM.01214-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Yu HB, Zhang YL, Lau YL, Yao F, Vilches S, Merino S, Tomas JM, Howard SP, Leung KY. 2005. Identification and characterization of putative virulence genes and gene clusters in Aeromonas hydrophila PPD134/91. Appl Environ Microbiol 71:4469–4477. doi: 10.1128/AEM.71.8.4469-4477.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Hossain MJ, Waldbieser GC, Sun D, Capps NK, Hemstreet WB, Carlisle K, Griffin MJ, Khoo L, Goodwin AE, Sonstegard TS, Schroeder S, Hayden K, Newton JC, Terhune JS, Liles MR. 2013. Implication of lateral genetic transfer in the emergence of Aeromonas hydrophila isolates of epidemic outbreaks in channel catfish. PLoS One 8:e80943. doi: 10.1371/journal.pone.0080943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Chan KG, Tan WS, Chang CY, Yin WF, Mumahad Yunos NY. 2015. Genome sequence analysis reveals evidence of quorum-sensing genes present in Aeromonas hydrophila strain M062, isolated from freshwater. Genome Announc 3:e00100-15. doi: 10.1128/genomeA.00100-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Emond-Rheault JG, Vincent AT, Trudel MV, Brochu F, Boyle B, Tanaka KH, Attéré SA, Jubinville É Loch TP, Winters AD, Faisal M, Frenette M, Derome N, Charette SJ. 2015. Variants of a genomic island in Aeromonas salmonicida subsp. salmonicida link isolates with their geographical origins. Vet Microbiol 175:68–76. doi: 10.1016/j.vetmic.2014.11.014. [DOI] [PubMed] [Google Scholar]
- 80.Kelso B, Smith RV, Laughlin RJ, Lennox SD. 1997. Dissimilatory nitrate reduction in anaerobic sediments leading to river nitrite accumulation. Appl Environ Microbiol 63:4679–4685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Arai H. 2011. Regulation and function of versatile aerobic and anaerobic respiratory metabolism in Pseudomonas aeruginosa. Front Microbiol 2:103. doi: 10.3389/fmicb.2011.00103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Gavira M, Roldán MD, Castillo F, Moreno-Vivián C. 2002. Regulation of nap gene expression and periplasmic nitrate reductase activity in the phototrophic bacterium Rhodobacter sphaeroides DSM158. J Bacteriol 184:1693–1702. doi: 10.1128/JB.184.6.1693-1702.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Rodionov DA, Dubchak IL, Arkin AP, Alm EJ, Gelfand MS. 2005. Dissimilatory metabolism of nitrogen oxides in bacteria: comparative reconstruction of transcriptional networks. PLoS Comput Biol 1:e55. doi: 10.1371/journal.pcbi.0010055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Henry S, Bru D, Stres B, Hallet S, Philippot L. 2006. Quantitative detection of the nosZ gene, encoding nitrous oxide reductase, and comparison of the abundances of 16S rRNA, narG, nirK, and nosZ genes in soils. Appl Environ Microbiol 72:5181–5189. doi: 10.1128/AEM.00231-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Schreiber F, Wunderlin P, Udert KM, Wells GF. 2012. Nitric oxide and nitrous oxide turnover in natural and engineered microbial communities: biological pathways, chemical reactions, and novel technologies. Front Microbiol 3:372. doi: 10.3389/fmicb.2012.00372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Raiger Iustman LJ, Tribelli PM, Ibarra JG, Catone MV, Solar Venero EC, López NI. 2015. Genome sequence analysis of Pseudomonas extremaustralis provides new insights into environmental adaptability and extreme conditions resistance. Extremophiles 19:207–220. doi: 10.1007/s00792-014-0700-7. [DOI] [PubMed] [Google Scholar]
- 87.Beaz-Hidalgo R, Figueras MJ. 2012. Molecular detection and characterization of furunculosis and other Aeromonas fish infections, p 97–132. In Carvalho E. (ed), Health and environment in aquaculture. InTech, Rijeka, Croatia: http://cdn.intechopen.com/pdfs/35139/InTechMolecular_detection_and_characterization_of_furunculosis_and_other_aeromonas_fish_infections.pdf. [Google Scholar]
- 88.Krejcí E, Sedlácek I, Baudisová D. 2009. Classification of brown pigmented aeromonads isolated from river water. Folia Microbiol (Praha) 54:123–129. doi: 10.1007/s12223-009-0018-5. [DOI] [PubMed] [Google Scholar]
- 89.Burr SE, Wahli T, Segner H, Pugovkin D, Frey J. 2003. Association of type III secretion genes with virulence of Aeromonas salmonicida subsp. salmonicida. Dis Aquat Organ 57:167–171. doi: 10.3354/dao057167. [DOI] [PubMed] [Google Scholar]
- 90.Burr SE, Pugovkin D, Wahli T, Segner H, Frey J. 2005. Attenuated virulence of an Aeromonas salmonicida subsp. salmonicida type III secretion mutant in a rainbow trout model. Microbiology 151:2111–2118. doi: 10.1099/mic.0.27926-0. [DOI] [PubMed] [Google Scholar]
- 91.Studer N, Frey J, Vanden Bergh P. 2013. Clustering subspecies of Aeromonas salmonicida using IS630 typing. BMC Microbiol 13:36. doi: 10.1186/1471-2180-13-36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Suarez G, Sierra JC, Erova TE, Sha J, Horneman AJ, Chopra AK. 2010. A type VI secretion system effector protein, VgrG1, from Aeromonas hydrophila that induces host cell toxicity by ADP ribosylation of actin. J Bacteriol 192:155–168. doi: 10.1128/JB.01260-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Iacovache I, van der Goot FG, Pernot L. 2008. Pore formation: an ancient yet complex form of attack. Biochim Biophys Acta 1778:1611–1623. doi: 10.1016/j.bbamem.2008.01.026. [DOI] [PubMed] [Google Scholar]
- 94.Pavan ME, Pettinari MJ, Cairó F, Pavan EE, Cataldi AA. 2011. Bacillus anthracis: a molecular look at a famous pathogen. Rev Argent Microbiol 43:294–310. [DOI] [PubMed] [Google Scholar]
- 95.Song T, Toma C, Nakasone N, Iwanaga M. 2004. Aerolysin is activated by metalloprotease in Aeromonas veronii biovar sobria. J Med Microbiol 53:477–482. doi: 10.1099/jmm.0.05405-0. [DOI] [PubMed] [Google Scholar]
- 96.Cascón A, Yugueros J, Temprano A, Sánchez M, Hernanz C, Luengo JM, Naharro G. 2000. A major secreted elastase is essential for pathogenicity of Aeromonas hydrophila. Infect Immun 68:3233–3241. doi: 10.1128/IAI.68.6.3233-3241.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Han HJ, Taki T, Kondo H, Hirono I, Aoki T. 2008. Pathogenic potential of collagenase gene from Aeromonas veronii. Can J Microbiol 54:1–10. doi: 10.1139/W07-109. [DOI] [PubMed] [Google Scholar]
- 98.Miyoshi S. 2013. Extracellular proteolytic enzymes produced by human pathogenic Vibrio species. Front Microbiol 4:339. doi: 10.3389/fmicb.2013.00339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Adrangi S, Faramarzi MA. 2013. From bacteria to human: a journey into the world of chitinases. Biotechnol Adv 31:1786–1795. doi: 10.1016/j.biotechadv.2013.09.012. [DOI] [PubMed] [Google Scholar]
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