Next Article in Journal
The Novel Mechanisms Concerning the Inhibitions of Palmitate-Induced Proinflammatory Factor Releases and Endogenous Cellular Stress with Astaxanthin on MIN6 β-Cells
Next Article in Special Issue
Isolation and Selection of Microalgal Strains from Natural Water Sources in Viet Nam with Potential for Edible Oil Production
Previous Article in Journal
Compositional Characteristics and In Vitro Evaluations of Antioxidant and Neuroprotective Properties of Crude Extracts of Fucoidan Prepared from Compressional Puffing-Pretreated Sargassum crassifolium
Previous Article in Special Issue
The Understanding of the Metazoan Skeletal System, Based on the Initial Discoveries with Siliceous and Calcareous Sponges
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Marine Drugs
Volume 15
Issue 6
10.3390/md15060184
marinedrugs-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Biotechnological Potential of Cold Adapted Pseudoalteromonas spp. Isolated from ‘Deep Sea’ Sponges

by
Erik Borchert
1,
Stephen Knobloch
2,
Emilie Dwyer
1,
Sinéad Flynn
1,
Stephen A. Jackson
1,
Ragnar Jóhannsson
2,
Viggó T. Marteinsson
2,
Fergal O’Gara
1,3,4 and
Alan D. W. Dobson
1,*
1
School of Microbiology, University College Cork, National University of Ireland, Cork T12 YN60, Ireland
2
Department of Research and Innovation, Matís ohf., Reykjavik 113, Iceland
3
Biomerit Research Centre, University College Cork, National University of Ireland, Cork T12 YN60, Ireland
4
School of Biomedical Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth 6102, WA, Australia
*
Author to whom correspondence should be addressed.
Mar. Drugs 2017, 15(6), 184; https://doi.org/10.3390/md15060184
Submission received: 22 February 2017 / Revised: 9 June 2017 / Accepted: 14 June 2017 / Published: 19 June 2017
(This article belongs to the Special Issue Advances and New Perspectives in Marine Biotechnology II 2016)
Browse Figures
Versions Notes

Abstract

:
The marine genus Pseudoalteromonas is known for its versatile biotechnological potential with respect to the production of antimicrobials and enzymes of industrial interest. We have sequenced the genomes of three Pseudoalteromonas sp. strains isolated from different deep sea sponges on the Illumina MiSeq platform. The isolates have been screened for various industrially important enzymes and comparative genomics has been applied to investigate potential relationships between the isolates and their host organisms, while comparing them to free-living Pseudoalteromonas spp. from shallow and deep sea environments. The genomes of the sponge associated Pseudoalteromonas strains contained much lower levels of potential eukaryotic-like proteins which are known to be enriched in symbiotic sponge associated microorganisms, than might be expected for true sponge symbionts. While all the Pseudoalteromonas shared a large distinct subset of genes, nonetheless the number of unique and accessory genes is quite large and defines the pan-genome as open. Enzymatic screens indicate that a vast array of enzyme activities is expressed by the isolates, including β-galactosidase, β-glucosidase, and protease activities. A β-glucosidase gene from one of the Pseudoalteromonas isolates, strain EB27 was heterologously expressed in Escherichia coli and, following biochemical characterization, the recombinant enzyme was found to be cold-adapted, thermolabile, halotolerant, and alkaline active.

1. Introduction

The genus Pseudoalteromonas are a subgroup of Gram-negative Gammaproteobacteria with common features, including a requirement for Na+ ions, motility, and aerobic and chemoheterotrophic metabolism. The genus was first described by Gauthier and co-workers and separated from the genus Alteromonas [1]. The genus can be divided into either pigmented or non-pigmented species, with members of the genus being known to possess the ability to produce a wide array of bioactive compounds. The pigmented species, in particular, are known to produce a range of antimicrobial and antifouling compounds which display activity against a broad spectrum of organisms and have, as a result, been widely investigated in the past [2,3,4,5]. While the non-pigmented species are typically not antimicrobial producers, they are, however, versatile producers of an array of different extracellular enzymes that are of potential biotechnological interest [6,7,8,9,10]. Pseudoalteromonas are one of the most frequently isolated bacteria from marine environments [11] and are routinely found in association with various eukaryotic hosts in these environments such as tunicates [12], algae [13], sponges [14], mussels [15], pufferfish [16], as well as algae and marine plants [17,18]. They have also been isolated as free living in seawater [19], sea ice [20], and marine sediment [21].
The deep oceans as an ecosystem are of growing interest to the scientific community. While the mean depth of the oceans is 3800 m, about 50% is deeper than 3000 m. With only 5% of the ‘deep sea’ having been explored to date, it is clear that the biotechnological potential of this unique ecosystem has yet to be fully exploited [22,23,24]. We have previously reported on the microbial biodiversity of deep sea sponges sampled at depths of between 760 and 2900 m below sea level, indicating that the microbial community structures of these sponges may represent an untapped source of potential microbial biodiversity [25,26]. Bacterial and fungal communities from deep sea sediments also continue to receive attention, not only from an ecological standpoint [27], but also due to the ability of microorganisms isolated from this ecosystem to produce novel bioactive molecules [28,29] and enzymes of biotechnological importance [30,31]. Cold-active enzymes are of particular interest as they possess a range of structural features that promote flexibility at the active site, low substrate affinity, and high specific activity at low temperatures. These characteristics are important in industrial biocatalysis, not only from an energy savings standpoint, but also due to the fact that performing reactions at low temperatures prevents undesirable chemical side reactions which can occur at higher temperatures; while also allowing rapid thermal inactivation of these enzymes, due to their thermolabile properties [32,33].
Pseudoalteromonas strains have previously been reported to produce a number of cold adapted enzymes including DNA ligase [34,35], pectate lyase [36], β-galactosidase [6], subtilase [10], and agarase [9], with enzyme production in Pseudoalteromonas haloplanktis TAC125 and other Pseudoalteromonas strains namely sp. ANT506, sp. ANT178, sp. KMM701, and sp. CF6-2 in particular being studied in more detail [31,33]. The cold adaptation properties of Pseudoalteromonas haloplanktis TAC125 have been described with respect to its thioredoxin system [37,38] and the involvement of a single highly-active iron superoxide dismutase as a reactive oxygen species defense mechanism [39,40]. With this in mind, this study focused on the isolation and comparative genomics of three non-pigmented Pseudoalteromonas spp. isolated at different depths from both marine sponges and sediment in an effort to assess their biotechnological potential.
The genomes share a large pan-genome and have a considerable number of unique gene clusters, but only a small number of genes are associated with potential host interaction in all the investigated genomes, irrespective of whether or not they have been isolated from sponges, from deep sea sediment, or from ocean water. Furthermore, Pseudoalteromonas strains EB27, SK18, and SK20, isolated from deep sea sponges do not share a large number of genes that could be attributed to a symbiotic lifestyle. While the strains displayed cold-adapted growth characteristics, they are unlikely to be true psychrophiles. The three strains did however display a number of interesting enzyme activities including β-glucosidase, protease, and β-galactosidase activities and a heterologously expressed β-glucosidase from strain EB27 displayed properties that are favorable to industrial applications, such as alkaline pH optimum, halotolerance, and cold-adaptation.

2. Results

2.1. Enzymatic Activity Profile

The three Pseudoalteromonas spp. isolates displayed a range of different enzyme activity profiles (Table 1) in plate based screening assays. The Poecillastra compressa isolate EB27 (retrieved from a depth of 1480 m) displayed the greatest range of different activities, with the most prominent being β-glucosidase, protease, and cellulase activity. SK20 (Inflatella pellicula, 2900 m) exhibited strong β-galactosidase activity and SK18 (Sericolophus hawaiicus, 2129 m) displayed high levels of protease activity. All of the isolates displayed some lipolytic activity.
Semi-quantitative assays investigating protease (SK18, EB27) and β-galactosidase (SK20, EB27) activity were also performed (Supplementary Figure S1); however, these activities do not appear to be cold adapted.
To assess the general temperature–growth profile of the three isolates we performed growth experiments at different temperatures (4 °C, 23 °C, 28 °C, and 37 °C) and calculated the growth rate and doubling time (Table 2).
We decided to sequence the genomes of these three Pseudoalteromonas strains in an attempt to gain a better understanding of their biotechnological potential based on these preliminary extracellular enzyme profiles, together with the fact that other Pseudoalteromonas strains such as Pseudoalteromonas haloplanktis strains TAC125, TAE79, Sp22b, and AS-11 have all been shown to produce a large number of biotechnologically important biocatalysts [41]. In addition, representatives of the genus Pseudoalteromonas have also been shown to produce a broad array of bioactive molecules such as antibiotics, antitumor agents, and toxins/antitoxins [11,42,43,44,45].

2.2. Genome Sequencing and Assembly

The three Pseudoalteromonas genomes were sequenced on the MiSeq platform and the coverage obtained ranged from 196× to 230×. The number of identified coding DNA sequences (CDS) ranged from 3582 to 4012, with EB27 having the largest genome of 4.56 Mb and 4012 CDS and SK18 the smallest genome with 3.98 Mb and 3582 CDS (Table 3). The sequencing results fall within the size range of known Pseudoalteromonas spp. genomes (Pseudoalteromonas haloplanktis TAC125 3.85 Mb [46] to Pseudoalteromonas atlantica T6c 5.1 Mb [47,48]), and do not appear to display any unusual patterns which may relate to their host sponge origin, like genome size or differing GC content. Nonetheless, the genome of EB27 is approximately 10% larger than the other compared genomes.

2.3. Genome Comparison

The Bacterial Pan Genome Analysis (BPGA) pan-genome pipeline was used to compare the whole genome sequences (Figure 1) [49]. Pseudoalteromonas haloplanktis TAC125 was used as a reference strain representing a shallow water isolate and Pseudoalteromonas sp. SM9913 was used as a deep sea reference strain as it had been retrieved from a deep sea sediment sample (1855 m) [21,46]. A phylogenetic comparison of the 16S rRNA gene of the isolates, reference strains, and a number of relevant type strains defined our isolates as true Pseudoalteromonas spp. (Figure 2). The 16S rRNA genes from the reference strains used for the whole genome comparison in this study were identified from the respective genomes by RNAmmer [50]. Due to the not fully assembled genomes (only one 16S rRNA copy in SK18 and EB27) of the isolates SK18, SK20, and EB27, the 16S rRNA gene sequences were retrieved by PCR. A pan-genome analysis, based on the comparison of all translated protein sequences, was then performed. The number of translated protein sequences present ranged from 3422 for Pseudoalteromonas haloplanktis TAC125 to 3941 for Pseudoalteromonas sp. EB27, with 2482 of these proteins being orthologs; making up 72.5% of the smallest genome and 62.9% of the largest genome. The number of unique proteins or paralogs is quite large, ranging from 308 to 809. The sponge isolates share 10 protein clusters not found in the free-living reference strains TAC125 and SM9913. These clusters include genes potentially encoding cation efflux proteins, integrases, recombinases, and proteins potentially involved in multidrug resistance and which may play a role in helping the Pseudoalteromonas strains adapt to life inside the sponge, and in helping them cope with other microorganisms inhabiting the sponge. For example, recombinases and integrases are known to mediate horizontal gene transfer, which is believed to play a key role in the genomic evolution of symbionts [51]. When comparing the individual isolates to the reference strains, EB27 shared 183 clusters with TAC125 and only 28 with SM9913, while SK18 shared 14 clusters with TAC125 and 75 clusters with SM9913. In addition, SK20 shared 60 clusters with TAC125 and 120 clusters with SM9913.
The distribution of the protein clusters of orthologous groups (COG) affiliated with biological functions can be seen in Figure 3 (generated with [49]). The unique genes as mentioned earlier make up in total approximately 8.5 to 20% per genome. The potential function of these genes appears to be widespread and affiliated with many different cellular functions such as signal transduction mechanisms, cell wall, membrane and envelope biogenesis, recombination and repair, and many with only general or unknown function; so that no obvious pattern is evident. The accessory genes appear to be affiliated with several functions such as signal transduction mechanisms and defense mechanisms, and proteins with either an as yet unknown function or only a general prediction, but with again no obvious links with a specific function. The core genome mainly contributes towards cell cycle control, cell division, chromosome partitioning, translation, ribosomal structure, biogenesis, and nucleotide transport and metabolism (Figure 3). According to the COG distribution the Kyoto Encyclopedia of Genes and Genomes (KEGG) distribution of the translated genomes can be found in the Supplementary Figure S2.
The pan-genome analysis revealed an open pan-genome for the five Pseudoalteromonas isolates investigated here. Therefore, the number of dispensable or accessory genes is orders of magnitude larger than the size of the core genome and increases with the number of additional genomes (Figure 4), as defined by [56]. For the five genomes, the pan genome contains 6077 genes and the core genome is made up of 2482 genes. This is in line with recent findings for other non-pigmented Pseudoalteromonas spp. [43].
The genome sequences were then manually screened for genes encoding enzymes of potential industrial interest and were found to be quite rich in potential lipases/esterases and proteases, and to contain a relatively small number of potential β-galactosidase, β-glucosidase, and cellulase genes (Table 4). The number of potential genes encoding these enzyme activities does not, however, reflect the phenotypes seen in the plate screening assays (Table 1). For example, the presence of β-glucosidase genes does not necessarily lead to a positive phenotypic assay for this enzyme activity; all investigated Pseudoalteromonas strains contain at least two β-glucosidase genes, except for TAC125 which hosts none, but only EB27 displays this enzyme active in the plate screenings. However, the increased number of potential β-glucosidase- and cellulase-encoding genes in the genome of EB27 may account for the positive screening results in the plate assays for these enzyme activities.
EB27 contained two genes encoding periplasmic β-glucosidases and two genes which were annotated solely as β-glucosidases. The two β-glucosidase annotated genes were similar in size (1329 bp, 443 aa) and shared 72% nucleotide and 71% protein identity. Based on the strong β-glucosidase activity observed in EB27, one of the two β-glucosidase genes was cloned using PCR and subsequently subcloned into the Escherichia coli heterologous expression system. Following purification of the recombinant β-glucosidase, initial biochemical characterisation experiments investigating optimal temperature, temperature stability, pH dependency, and halotolerance were conducted to assess its potential for industrial applications (Figure 5). The heterologously expressed β-glucosidase from EB27 was most active at pH 7.6 with optimal temperatures ranging from 28 °C to 37 °C. Good activity was also observed at 4 °C, 23 °C, and 45 °C. The enzyme was found to be quite thermolabile, losing 90% of its activity following incubation at 37 °C for 30 min (Figure 5). The optimal temperature profile and the observed thermostability of the β-glucosidase would indicate that the enzyme is psychrophilic, being active at low temperatures, but readily inactivated at slightly elevated temperatures (28 °C and above). The halotolerance of the enzyme was assessed at various salt concentrations ranging from 2 to 14% sodium chloride. The enzyme loses approximately 25% of its activity in the 2 to 8% salt concentration range, with further decreases in activity being observed at higher salt concentrations (Figure 5). The recombinant enzyme would, therefore, appear to be halotolerant rather than halophilic.
Deferred antagonism-based antimicrobial assays were also performed in an effort to determine whether the three Pseudoalteromonas strains displayed any bioactivity against clinically-relevant test strains. The isolates were grown on both low and rich nutrient media and then overlaid with a number of clinically relevant test strains such as Escherichia coli 12210, Staphylococcus aureus NCD0 949, Bacillus subtilis 1E32, Pseudomonas aeruginosa PA-O1, Acinetobacter johnsonii WH00185, Enterobacter faecium NCIMB 11508, Klebsiella pneumonia NCIMB 13218, and Enterobacter aerogenes NCIMB 10102 in soft LB-agar. No bioactivity was observed, despite the fact that all three Pseudoalteromonas genomes contained at least one potential bacteriocin gene cluster (EB27 contained two bacteriocin gene clusters), with SK18 and EB27 also containing potential arylpolyene and siderophore encoding gene cluster (Table 5).
In addition, when TAC125 and SM9913 were subsequently analysed, one potential bacteriocin gene cluster was found to be present and highly conserved between the different isolates and the reference genomes (Figure 6). This gene cluster consists of 13 different genes with an average total size of 10.8 kb, except in SK20, in which the cluster only consists of seven genes with a total of 6.1 kb (Figure 6). In addition to the conserved bacteriocin gene cluster that can be found in all isolates, EB27 has a second small bacteriocin gene cluster spanning 10 kb, which is considerably different than the other clusters and is not a reduced form of the conserved cluster as in SK20.
Given that these Pseudoalteromonas spp. had been isolated from different sources, such as sponges (EB27, SK18, SK20), deep sea sediment (SM9913), as well as from open Antarctic seawater, we decided to investigate the presence of potential eukaryotic-like proteins such as ankyrin-repeats (ANK) and tetratricopeptide repeats domain-encoding proteins (TRP) which are known to be enriched in symbiotic sponge-associated microorganisms [60] (Table 6). The genomes of all isolates were found to contain a small number of genes with ankyrin and tetratricopeptide repeats, which are present at much lower levels than might be expected from a true sponge symbiont, such as Poribacteria sp. which contain at least 23 genes with tetratricopeptides repeats in its genome [61].

3. Discussion

Pseudoalteromonas spp. are known to be multitalented with respect to the production of enzymes of industrial interest; for example agarases [9], galactosidases [6], proteases [62], subtilases [10], and phospholipases [8] have been described from this genus. Furthermore some isolates are also able to produce acidic exopolysaccharides involved in biofilm formation [63], as well as antimicrobial compounds [64,65]. In general, the Pseudoalteromonas genus can be divided into pigmented and non-pigmented species, with the former producing mostly antimicrobial and antifouling compounds, and the latter being more versatile in the production of different enzymes [3]. The Pseudoalteromonas spp. isolates described herein are naturally non-pigmented and are, therefore, no exception to the aforementioned general classification as they produce a variety of different enzymes, but display no antimicrobial activity under the assay conditions tested, but interestingly they do possess potential bacteriocin and siderophore gene clusters in their genomes (Table 5, Figure 6).
Having isolated a number of Pseudoalteromonas strains from deep sea sponges, we decided to employ a number of approaches including plate screening, whole genome sequencing, and comparative genomics in an attempt to identify genes encoding enzymes with potentially biotechnologically relevant properties. The isolates were found to be cold adapted rather than true psychrophiles, according to the observed growth rates and doubling times at various temperatures (Table 2), and expressed a number of different enzyme activities, including β-glucosidase, β-galactosidase, protease, and lipase activities (Table 1). The isolates grew best at 23 °C and 28 °C with doubling times ranging from 20 to 40 min, compared to a generation time of 20 min at 37 °C for the mesophilic E. coli K-12 strain MG1655 [66], which shows that our isolates are capable of achieving similar growth rates to E. coli at these temperatures, supporting the feasibility of using Pseudoalteromonas as an expression system for cold adapted enzymes as previously demonstrated by Papa and colleagues [67].
Good activity levels for the recombinant β-glucosidase enzyme were observed at temperatures ranging from 4 °C to 37 °C, with optimal activity at 28 °C to 37 °C at a pH of 7.6 (Figure 5). Furthermore, the β-glucosidase was quite thermolabile, losing 30% of its activity after 30 min of incubation at 28 °C and 90% of its activity after 30 min of incubation at 37 °C. While β-glucosidases are typically involved in important processes in bacteria, such as degradation of cellulose and other carbohydrates for nutrient uptake, there is an increased interest in their use in the conversion of lignocellulosic biomass into reducing sugars for ethanol production. While at least two other types of enzymes are also required for the complete degradation of cellulose, namely the endoglucanases and cellobiohydrolases; β-glucosidases are believed to be the rate-limiting enzyme in these processes [68]. They also find industrial applications in wine making where they play a key role in the enzyme-mediated release of aromatic compounds from glycosidic precursors present in fruit juices, musts, and fermenting products. They are also used in flavour enhancement to improve the organoleptic properties of citrus fruit juices to reduce bitterness [69]. While the majority of β-glucosidases currently in use are mostly fungal in origin, bacterial derived enzymes are receiving increased recent interest, particularly for biofuel production applications [69]. Furthermore, enzymes from Pseudoalteromonas have proven useful in the hydrolysis of carbohydrates from algal biomass under alkaline conditions, which is uncommon for terrestrial β-glucosidases and could be used for biofuel production from marine sources [69,70,71].
As mentioned earlier, members of the genus Pseudoalteromonas are routinely isolated from a variety of different marcoorganisms. While they have also been isolated from sea water and sediment, they are usually found in association with macroorganisms [3,72]. With this in mind, we investigated the genomes of our three deep sea sponge associated Pseudoalteromonas strains, together with two free-living isolates for the presence of potential symbiosis genes, such as genes mediating microbe–host interactions (genes containing eukaryotic-like domains, like ankyrin and tetratricopeptide repeats) or those that may be beneficial in the acquisition or production of nutrients such as proteases, sulfatases or peptidases for the host or the symbiont [61,73]. While the genomes of the sponge-associated and free-living Pseudoalteromonas sp. isolates were rich in proteases and sulfatases, they lacked large numbers of genes encoding potential ankyrin and tetratricopeptide repeats (Table 6). Interestingly one of the genes which did contain a tetratricopeptide repeat is part of the conserved bacteriocin gene cluster that is found in all isolates (Figure 6), which provides some limited evidence of potential microbe–host interactions. In this respect, it is known that some bacteriocins are involved in mediating microbe–host interactions via biofilm formation on which a host can settle [74]. However, the lack of appreciable numbers of genes containing eukaryotic-like domains amongst the genomes of the of Pseudoalteromonas sponge isolates appears to suggest that they may not in fact form a true symbiotic relationship with their host. These Pseudoalteromonas isolates may, however, be indirectly beneficial to the sponge by breaking down polysaccharides or other nutrient containing materials and thereby making these available to both themselves and to the sponge; by functioning as either a commensal or transiently associated microbe.
The pan-genome of the investigated isolates is open and each genome contains 8.5 to 20% unique genes and the core genome comprises of 2482 genes (Figure 1), whereas the whole pan genome comprises of 6077 genes. The possible functions of the translated genes have been investigated by assigning them to clusters of orthologous function. The distribution of the unique, accessory, and core genes is widespread across different biological functions and no obvious pattern is evident, besides core functions that seem to be conserved in all genomes such as cell cycle control, cell division, chromosome partitioning, translation, ribosomal structure, biogenesis, and nucleotide transport and metabolism (Figure 3).

4. Conclusions

The following a comparative genomic analysis of non-pigmented sponge associated Pseudoalteromonas sp. isolated from different depths and free-living Pseudoalteromonas sp. we have demonstrated that these strains share a large open pan-genome and possess a considerable number of unique genes which is in line with results of other genome comparison of non-pigmented Pseudoalteromonas spp. [43]. We were unable to obtain definitive evidence based on these genome comparisons that non-pigmented Pseudoalteromonas spp. form true symbiotic relationships with deep sea sponges. While these non-pigmented strains do not appear to produce antimicrobial compounds, they do, however, produce a wide variety of different degradative enzymes, such as proteases, lipases, β-glucosidases, and β-galactosidases. A β-glucosidase gene was cloned from Pseudoalteromonas EB27 and heterologously expressed in Escherichia coli. Biochemical characterization of the recombinant β-glucosidase enzyme revealed enzyme characteristics with potentially useful biotechnological applications. For example, various food processing and bioremediation processes require halotolerant enzymes [75], while cold-active enzymes find uses in food production, detergents and in molecular biology [76]. There is also interest in the biotechnological application of β-glucosidases in relation to plant-based foods, such as their use in the conversion of phytoestrogen glucosides in fruits and vegetables to aglycone moieties and the removal of bitter compounds from citrus fruit juices [77]. The three Pseudoalteromonas sp. strains also possess good levels of extracellular lipase and protease activity; two important classes of industrial enzymes with projected global markets set to reach $590M USD and $2.21B USD by 2020 and 2021, respectively [78]. Alkaline proteases in particular are important industrial enzymes with application in detergents. Production of these enzymes is heavily dependent on the growth of the producer strain at pH of >7.5 [75]. The characteristics of the extracellular lipases, proteases, and β-glucosidase (cold-active, halotolerant, alkaline-active) produced by these Pseudoalteromonas strains together with their short doubling time at mesophilic temperatures, make these isolates an attractive source for further investigation.

5. Materials and Methods

5.1. Sponge Collection and Isolation of Microorganisms

The sponges (Poecillastra compressa, Inflatella pellicula and Sericolophus hawaiicus) used for the isolation of microorganisms have been collected of the west coast of Ireland during the Biodiscovery cruises 2010 and 2013 by the remotely operated vehicle Holland I on board the R.V. Celtic Explorer. The sponges were rinsed directly after collection with sterile artificial sea water (3.33% (w/v) Instant Ocean, Aquarium Systems) to remove any exogenous material and were subsequently stored at −80 °C until further processing. The isolation of microorganisms was performed as follows; small sponge pieces were macerated with a sterile razor blade and serially diluted with artificial seawater and plated onto Starch-Yeast Extract-Peptone Seawater (SYP-SW) plates (10 g/L starch, 4 g/L yeast extract, 2 g/L peptone, 33.3 g/L artificial sea salt, 1.5% agar). The plates were inspected daily for colonies and incubated for four weeks at 28 °C. All colonies were restreaked until pure cultures were obtained.

5.2. Enzyme Activity Plate Screenings

The pure cultures were tested for different enzyme activities. All screenings were carried out at 28 °C and incubated for three to four days.
Protease screening was carried out using SYP-SW plates supplemented with 2% skim milk (Sigma-Aldrich, Arklow, Ireland), a clear halo around the colonies after incubation indicates a possible protease activity. Positive colonies were further tested on SYP-SW plates supplemented with 40 ng/mL X-Gal to differentiate between true protease activity and β-glucosidase/β-galactosidase activity, a blue colour change of the colony would indicate that it is rather the latter activity.
Cellulase activity was tested using SYP-SW plates supplemented with 0.1% Ostazin brilliant red hydroxyethyl-cellulose (OBR-HEC; Slovak Academy of Science, Institute of Chemistry); clear halos around colonies indicate cellulase activity.
Lipase activity was investigated via adding 1% tributyrin (Sigma-Aldrich) to the SYP-SW plates, again a clear halo around the colonies indicates a lipase or esterase activity.

5.3. Enzyme Assays and Growth Characterization

The β-glucosidase activity of the heterologously expressed enzyme was measured using 5 µg of protein, 20 µL 0.1 M p-nitrophenyl-β-d glucopyranoside as substrate and 1 mL of 0.1 M potassium phosphate buffer solution (pH 7.6). The obtained solution was incubated at 23 °C for 10 min and the absorbance at 420 nm was measured subsequently. The temperature and the pH of the potassium phosphate buffer were varied for the optimal temperature assays (tested were 4 °C, 23 °C, 28 °C, 37 °C, 45 °C, and 55 °C) and the pH dependency assay (tested were pH 4.5, 6.0, 6.6, 7.0, 7.6, 8.0, and 9.0). According to the Beer–Lambert law, the optimal activity of the β-glucosidase was approximately 2.5 U/mg, where one unit of β-glucosidase corresponds to the release of 1 µmol of p-nitrophenyl min−1 (ε = 1.6 × 104 M−1 cm−1) in the reaction mixture under the assay conditions 28 °C and pH 7.6.
Overnight cultures incubated at 28 °C and 180 rpm were diluted the next day in 30 mL marine broth (Difco marine broth 2216) to an optical density at 600 nm of 0.05 and subsequently incubated at different temperatures (4 °C, 23 °C, 28 °C, 37 °C) in shaking incubators. The growth was monitored hourly by measuring the optical density at 600 nm. The specific growth rate (mu) and the generation/doubling time (tgen) was calculated using the formula mu = (ln(X1) − ln(X0))/(t1 − t0) and tgen = (0.693/mu) × 60, with X0 being the optical density at the beginning of the exponential growth phase (approximate OD600 of 0.15), X1 a time point within the exponential growth phase (OD600 between 0.15 and 1.0) and t the time passed between X0 and X1 in hours.

5.4. Genomic DNA Isolation and Sequencing

Genomic DNA isolation was carried out by processing a 10 mL overnight culture (SYP-SW medium, 28 °C, 180 rpm), after centrifugation the media was removed and 2 mL lysis buffer (2% SDS, 1% CTAB, 100 mM Tris, 100 mM EDTA, 1.5 M NaCl, pH 8.0) were added and incubated in a water bath at 70 °C with occasional mixing for two hours. The cell lysate was centrifuged until a clear lysate was obtained, 0.7 volumes of Isopropanol were subsequently added to precipitate the genomic DNA (30 min, room temperature). After centrifugation, the supernatant was discarded and the obtained pellet was washed with 70% ethanol, then centrifuged again and after supernatant removal, air dried and finally resuspended in an appropriate amount of Tris-EDTA buffer (10 mM Tris, 1 mM EDTA, pH 8.0). DNA quality was assessed by running 5 µL DNA on an agarose gel resulting in a high molecular weight band. Purity of DNA was measured on a NanoDrop ND-1000 Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). DNA was quantified with a Qubit dsDNA HS assay (Thermo Fisher Scientific) prior to preparing genomic libraries with the Nextera XT DNA Library Prep Kit (Illumina, San Diego, CA, USA) according to the manufacturer’s instructions. Final libraries were barcoded with Nextera XT indices, assessed on a Bioanalyzer High Sensitivity DNA chip (Agilent Technologies, Santa Clara, CA, USA) and sequenced together on an Illumina MiSeq platform using paired-end 300 bp chemistry. Raw sequence data was quality trimmed using Trimmomatic version 0.36 [79], removing short reads and trimming both ends of reads containing low quality bases. Quality trimmed reads were assembled using SPAdes version 3.7.0 [80] in paired-end mode with default settings. The genome completeness was assessed using CheckM [81]. Full length 16S rRNA gene sequences were predicted for the reference strains using RNAmmer [50]. 16S rRNA gene sequences from the isolates SK18, SK20, and EB27 were obtained using universal 27f/1492r primer for PCR. (The genomes are deposited in the NCBI database under the accession numbers MTQB00000000, MTQC00000000, MTQD00000000).

5.5. Cloning, Expression, and Purification of the β-Glucosidase

The full length β-glucosidase was amplified using primers incorporating enzyme restriction sites and allowing in-frame cloning into the pBAD/mycHIS-A overexpression vector (Invitrogen, Carlsbad, CA, USA). Forward primer fBETA2 (TATATATCATGACAAAAATATCATTACCATTTAATTCACC) incorporates a BspHI restriction site (underlined) at the start codon (italics) of the gene. Reverse primer rBETA2 (ATATATAAGCTTTCTATTTGAGATAAGTGCTTTATAGG) incorporates a HindIII restriction site replacing the stop codon of the β-glucosidase gene. The amplified PCR product was digested with BspHI and HindIII, pBAD/mycHis-A was digested with NcoI and HindIII and subsequently an overnight ligation was carried out at 4 °C at a 10:1 ratio insert to plasmid. Two µL of the ligation reaction were added to 50 µL TOP10 chemically competent cells (ThermoScientific) and the transformation was carried out according to the manufacturer’s guidelines. The transformation mixture was plated in different amounts on LB plates containing 50 µg/mL ampicillin, 0.2% arabinose and 40 mg/mL X-GAL.
The β-glucosidase enzyme was purified from the overnight culture, supplemented with 100 µg/mL ampicillin and 0.02% arabinose, using the HisPur Ni-NTA Resin (Thermo Fisher Scientific). 50 mL of overnight culture was used and centrifuged at 4000× g for 15 min at 4 °C. The pellet was resuspended in 2 mL of Tris-EDTA buffer and 100 µL of lysozyme (10 mg/mL) was added and incubated at 37 °C for 15 min. After this, the obtained solution was subjected to three freeze-thaw cycles of 15 min each. After this, the lysate was centrifuged at 12,000× g for 30 min at 4 °C and the supernatant was collected. The HisPur Ni-NTA Resin (2 mL) was packed in a column and was equilibrated with 4 mL of equilibration buffer (20 mM sodium phosphate, 300 mM sodium chloride, 10 mM imidazole, pH 7.4). The protein lysate was mixed with an equal volume of equilibration buffer and was loaded twice onto the Nickel-Nitrilotriacetic acid Ni-NTA column. The column was washed subsequently three times with 4 mL of wash buffer (PBS, 25 mM imidazole, pH 7.4. The bound protein was eluted with twice with 4 mL of elution buffer (PBS, 250 mM imidazole, pH 7.4). The obtained protein elute was concentrated using VWR Vivaspin concentrator columns with a molecular weight cutoff of 10 kDa.

5.6. Genome Analysis and Comparison

The draft genomes were annotated using the RAST pipeline [82,83,84]. The genomes of Pseudoalteromonas haloplanktis TAC125 [46] and Pseudoalteromonas sp. SM9913 [21] were used as reference genomes for comparison and annotated again in the same manner as the newly isolated Pseudoalteromonas spp. to rule out annotation biases between different software packages. Genome comparison was carried out by using the BPGA pipeline [49] and manually screening the genomes for enzymes of industrial interest. The genomes were screened for secondary metabolite gene clusters using antiSMASH [57,58,59].

Supplementary Materials

The Supplementary files are available online at www.mdpi.com/1660-3397/15/6/184/s1.

Acknowledgments

E.B. and S.K. acknowledge the financial support from the BluePharmTrain project (http://www.benthis.eu/en/bluepharmtrain.htm) funded through the MC-ITN scheme (contract no. 607786). The authors A.D.W.D., F.O. and S.A.J. acknowledge the financial support from the PharmaSea project (www.pharma-sea.eu) funded by the EU Seventh Framework Programme (contract no. 312184) and by the Beaufort Marine Research Award, part of the Sea Change Strategy and the Strategy for Science Technology and Innovation (2006–2012), with the support of the Marine Institute under the Marine Research Sub-Programme of the National Development Plan 2007–2013.

Author Contributions

S.A.J., R.J., V.T.M. and A.D.W.D. conceived and designed the study; E.B. performed primarily the experiments and analyzed the data, S.K. performed the genome sequencing, E.D. and S.F. carried out enzyme assays. E.B., S.K., S.A.J., F.O. and A.D.W.D. wrote the manuscript.

Conflicts of Interest

The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

References

  1. Gauthier, G.; Gauthier, M.; Christen, R. Phylogenetic analysis of the genera Alteromonas, Shewanella, and Moritella using genes coding for small-subunit rRNA sequences and division of the genus Alteromonas into two genera, Alteromonas (emended) and Pseudoalteromonas gen. nov., and proposal of twelve new species combinations. Int. J. Syst. Bacteriol. 1995, 45, 755–761. [Google Scholar] [PubMed]
  2. Egan, S.; James, S.; Holmström, C.; Kjelleberg, S. Correlation between pigmentation and antifouling compounds produced by Pseudoalteromonas tunicata. Environ. Microbiol. 2002, 4, 433–442. [Google Scholar] [CrossRef] [PubMed]
  3. Bowman, J.P. Bioactive compound synthetic capacity and ecological significance of marine bacterial genus Pseudoalteromonas. Mar. Drugs 2007, 5, 220–241. [Google Scholar] [CrossRef] [PubMed]
  4. Fehér, D.; Barlow, R.; McAtee, J.; Hemscheidt, T.K. Highly brominated antimicrobial metabolites from a marine Pseudoalteromonas sp. J. Nat. Prod. 2010, 73, 1963–1966. [Google Scholar] [CrossRef] [PubMed]
  5. Holmström, C.; James, S.; Egan, S.; Kjelleberg, S. Inhibition of common fouling organisms by marine bacterial isolates ith special reference to the role of pigmented bacteria. Biofouling 1996, 10, 251–259. [Google Scholar] [CrossRef] [PubMed]
  6. Cieśliński, H.; Kur, J.; Białkowska, A.; Baran, I.; Makowski, K.; Turkiewicz, M. Cloning, expression, and purification of a recombinant cold-adapted beta-galactosidase from antarctic bacterium Pseudoalteromonas sp. 22b. Protein Expr. Purif. 2005, 39, 27–34. [Google Scholar] [CrossRef] [PubMed]
  7. Dobretsov, S.; Xiong, H.; Xu, Y.; Levin, L.A.; Qian, P.Y. Novel antifoulants: Inhibition of larval attachment by proteases. Mar. Biotechnol. N. Y. 2007, 9, 388–397. [Google Scholar] [CrossRef] [PubMed]
  8. Mo, S.; Kim, J.H.; Cho, K.W. A novel extracellular phospholipase C purified from a marine bacterium, Pseudoalteromonas sp. J937. Biotechnol. Lett. 2009, 31, 89–94. [Google Scholar] [CrossRef] [PubMed]
  9. Oh, C.; Nikapitiya, C.; Lee, Y.; Whang, I.; Kim, S.J.; Kang, D.H.; Lee, J. Cloning, purification and biochemical characterization of beta agarase from the marine bacterium Pseudoalteromonas sp. AG4. J. Ind Microbiol. Biotechnol. 2010, 37, 483–494. [Google Scholar] [CrossRef] [PubMed]
  10. Yan, B.Q.; Chen, X.L.; Hou, X.Y.; He, H.; Zhou, B.C.; Zhang, Y.Z. Molecular analysis of the gene encoding a cold-adapted halophilic subtilase from deep-sea psychrotolerant bacterium Pseudoalteromonas sp. SM9913: Cloning, expression, characterization and function analysis of the C-terminal PPC domains. Extremophiles 2009, 13, 725–733. [Google Scholar] [CrossRef] [PubMed]
  11. Holmström, C.; Kjelleberg, S. Marine Pseudoalteromonas species are associated with higher organisms and produce biologically active extracellular agents. FEMS Microbiol. Ecol. 1999, 30, 285–293. [Google Scholar] [CrossRef]
  12. Holmström, C.; James, S.; Neilan, B.A.; White, D.C.; Kjelleberg, S. Pseudoalteromonas tunicata sp. nov., a bacterium that produces antifouling agents. Int. J. Syst. Bacteriol. 1998, 48 Pt 4, 1205–1212. [Google Scholar] [CrossRef] [PubMed]
  13. Egan, S.; Holmström, C.; Kjelleberg, S. Pseudoalteromonas ulvae sp. nov., a bacterium with antifouling activities isolated from the surface of a marine alga. Int. J. Syst. Evol. Microbiol. 2001, 51, 1499–1504. [Google Scholar] [CrossRef] [PubMed]
  14. Ivanova, E.P.; Shevchenko, L.S.; Sawabe, T.; Lysenko, A.M.; Svetashev, V.I.; Gorshkova, N.M.; Satomi, M.; Christen, R.; Mikhailov, V.V. Pseudoalteromonas maricaloris sp. nov., isolated from an australian sponge, and reclassification of [Pseudoalteromonas aurantia] NCIMB 2033 as Pseudoalteromonas flavipulchra sp. nov. Int. J. Syst. Evol. Microbiol. 2002, 52, 263–271. [Google Scholar] [CrossRef] [PubMed]
  15. Ivanova, E.P.; Kiprianova, E.A.; Mikhailov, V.V.; Levanova, G.F.; Garagulya, A.D.; Gorshkova, N.M.; Vysotskii, M.V.; Nicolau, D.V.; Yumoto, N.; Taguchi, T.; et al. Phenotypic diversity of Pseudoalteromonas citrea from different marine habitats and emendation of the description. Int. J. Syst. Bacteriol. 1998, 48 Pt 1, 247–256. [Google Scholar] [CrossRef] [PubMed]
  16. Simidu, U.; Kita-Tsukamoto, K.; Yasumoto, T.; Yotsu, M. Taxonomy of four marine bacterial strains that produce tetrodotoxin. Int. J. Syst. Bacteriol. 1990, 40, 331–336. [Google Scholar] [CrossRef] [PubMed]
  17. Yoshikawa, K.; Takadera, T.; Adachi, K.; Nishijima, M.; Sano, H. Korormicin, a novel antibiotic specifically active against marine gram-negative bacteria, produced by a marine bacterium. J. Antibiot. Tokyo 1997, 50, 949–953. [Google Scholar] [CrossRef] [PubMed]
  18. Akagawa-Matsushita, M.; Matsuo, M.; Koga, Y.; Yamasato, K. Alteromonas atlantica sp. nov and Alteromonas carrageenovora sp. nov., bacteria that decompose algal polysaccharides. Int. J. Syst. Evol. Microbiol. 1992, 42, 621–627. [Google Scholar] [CrossRef]
  19. Bozal, N.; Tudela, E.; Rosselló-Mora, R.; Lalucat, J.; Guinea, J. Pseudoalteromonas antarctica sp. nov., isolated from an antarctic coastal environment. Int. J. Syst. Bacteriol. 1997, 47, 345–351. [Google Scholar] [CrossRef] [PubMed]
  20. Bowman, J.P. Pseudoalteromonas prydzensis sp. nov., a psychrotrophic, halotolerant bacterium form antarctic sea ice. Int. J. Syst. Bacteriol. 1998, 48 Pt 3, 1037–1041. [Google Scholar] [CrossRef] [PubMed]
  21. Qin, Q.L.; Li, Y.; Zhang, Y.J.; Zhou, Z.M.; Zhang, W.X.; Chen, X.L.; Zhang, X.Y.; Zhou, B.C.; Wang, L.; Zhang, Y.Z. Comparative genomics reveals a deep-sea sediment-adapted life style of Pseudoalteromonas sp. SM9913. ISME J. 2011, 5, 274–284. [Google Scholar] [CrossRef] [PubMed]
  22. Ramirez-Llodra, E.; Brandt, A.; Danovaro, R.; De Mol, B.; Escobar, E.; German, C.; Levin, L.; Arbizu, P.; Menot, L.; Buhl-Mortensen, P. Deep, diverse and definitely different: Unique attributes of the world’s largest ecosystem. Biogeosciences 2010, 7, 2851–2899. [Google Scholar] [CrossRef]
  23. Sipkema, D. Marine biotechnology: Diving deeper for drugs. Microb. Biotechnol. 2016. [Google Scholar] [CrossRef] [PubMed]
  24. Borchert, E.; Jackson, S.A.; O’Gara, F.; Dobson, A.D. Diversity of natural product biosynthetic genes in the microbiome of the deep sea sponges Inflatella pellicula, Poecillastra compressa, and Stelletta normani. Front. Microbiol. 2016, 7, 1027. [Google Scholar] [CrossRef] [PubMed]
  25. Jackson, S.A.; Flemer, B.; McCann, A.; Kennedy, J.; Morrissey, J.P.; O’Gara, F.; Dobson, A.D. Archaea appear to dominate the microbiome of Inflatella pellicula deep sea sponges. PLoS ONE 2013, 8, e84438. [Google Scholar] [CrossRef] [PubMed]
  26. Kennedy, J.; Flemer, B.; Jackson, S.A.; Morrissey, J.P.; O’Gara, F.; Dobson, A.D. Evidence of a putative deep sea specific microbiome in marine sponges. PLoS ONE 2014, 9, e91092. [Google Scholar] [CrossRef] [PubMed]
  27. Xu, W.; Pang, K.L.; Luo, Z.H. High fungal diversity and abundance recovered in the deep-sea sediments of the Pacific Ocean. Microb. Ecol. 2014, 68, 688–698. [Google Scholar] [CrossRef] [PubMed]
  28. Li, X.D.; Li, X.M.; Li, X.; Xu, G.M.; Liu, Y.; Wang, B.G. Aspewentins D-H, 20-Nor-isopimarane derivatives from the deep sea sediment-derived fungus Aspergillus wentii SD-310. J. Nat. Prod. 2016, 79, 1347–1353. [Google Scholar] [CrossRef] [PubMed]
  29. Wu, B.; Wiese, J.; Schmaljohann, R.; Imhoff, J.F. Biscogniauxone, a new isopyrrolonaphthoquinone compound from the fungus Biscogniauxia mediterranea isolated from deep-sea sediments. Mar. Drugs 2016, 14, 204. [Google Scholar] [CrossRef] [PubMed]
  30. Shao, X.; Ran, L.Y.; Liu, C.; Chen, X.L.; Zhang, X.Y.; Qin, Q.L.; Zhou, B.C.; Zhang, Y.Z. Culture condition optimization and pilot scale production of the M12 metalloprotease Myroilysin produced by the deep-sea bacterium myroides profundi D25. Molecules 2015, 20, 11891–11901. [Google Scholar] [CrossRef] [PubMed]
  31. Yang, J.; Yu, Y.; Tang, B.L.; Zhong, S.; Shi, M.; Xie, B.B.; Zhang, X.Y.; Zhou, B.C.; Zhang, Y.Z.; Chen, X.L. Pilot-scale production and thermostability improvement of the M23 protease pseudoalterin from the deep sea bacterium Pseudoalteromonas sp. CF6-2. Molecules 2016, 21, 1567. [Google Scholar] [CrossRef] [PubMed]
  32. Cavicchioli, R.; Siddiqui, K.S.; Andrews, D.; Sowers, K.R. Low-temperature extremophiles and their applications. Curr. Opin. Biotechnol. 2002, 13, 253–261. [Google Scholar] [CrossRef]
  33. Santiago, M.; Ramírez-Sarmiento, C.A.; Zamora, R.A.; Parra, L.P. Discovery, molecular mechanisms, and industrial applications of cold-active enzymes. Front. Microbiol. 2016, 7, 1408. [Google Scholar] [CrossRef] [PubMed]
  34. Georlette, D.; Jónsson, Z.O.; Van Petegem, F.; Chessa, J.; Van Beeumen, J.; Hübscher, U.; Gerday, C. A DNA ligase from the psychrophile Pseudoalteromonas haloplanktis gives insights into the adaptation of proteins to low temperatures. Eur J. Biochem. 2000, 267, 3502–3512. [Google Scholar] [CrossRef] [PubMed]
  35. Albino, A.; De Angelis, A.; Marco, S.; Severino, V.; Chambery, A.; Di Maro, A.; Desiderio, D.; Raimo, G.; Masullo, M.; De Vendittis, E. The cold-adapted γ-glutamyl-cysteine ligase from the psychrophile Pseudoalteromonas haloplanktis. Biochimie 2014, 104, 50–60. [Google Scholar] [CrossRef] [PubMed]
  36. Truong, L.V.; Tuyen, H.; Helmke, E.; Binh, L.T.; Schweder, T. Cloning of two pectate lyase genes from the Marine antarctic bacterium Pseudoalteromonas haloplanktis strain ANT/505 and characterization of the enzymes. Extremophiles 2001, 5, 35–44. [Google Scholar] [CrossRef] [PubMed]
  37. Cotugno, R.; Rosaria Ruocco, M.; Marco, S.; Falasca, P.; Evangelista, G.; Raimo, G.; Chambery, A.; Di Maro, A.; Masullo, M.; De Vendittis, E. Differential cold-adaptation among protein components of the thioredoxin system in the psychrophilic eubacterium Pseudoalteromonas haloplanktis TAC 125. Mol. Biosyst. 2009, 5, 519–528. [Google Scholar] [CrossRef] [PubMed]
  38. Falasca, P.; Evangelista, G.; Cotugno, R.; Marco, S.; Masullo, M.; De Vendittis, E.; Raimo, G. Properties of the endogenous components of the thioredoxin system in the psychrophilic eubacterium Pseudoalteromonas haloplanktis TAC 125. Extremophiles 2012, 16, 539–552. [Google Scholar] [CrossRef] [PubMed]
  39. Castellano, I.; Di Maro, A.; Ruocco, M.R.; Chambery, A.; Parente, A.; Di Martino, M.T.; Parlato, G.; Masullo, M.; De Vendittis, E. Psychrophilic superoxide dismutase from Pseudoalteromonas haloplanktis: Biochemical characterization and identification of a highly reactive cysteine residue. Biochimie 2006, 88, 1377–1389. [Google Scholar] [CrossRef] [PubMed]
  40. Castellano, I.; Ruocco, M.R.; Cecere, F.; Di Maro, A.; Chambery, A.; Michniewicz, A.; Parlato, G.; Masullo, M.; De Vendittis, E. Glutathionylation of the iron superoxide dismutase from the psychrophilic eubacterium Pseudoalteromonas haloplanktis. Biochem. Biophys. Acta 2008, 1784, 816–826. [Google Scholar] [CrossRef] [PubMed]
  41. Pulicherla, K.K.; Sambasiva Rao, K.R.S. Marine biocatalysts and their stability: Molecular approach. In Marine Enzymes for Biocatalysis—Sources, Biocatalytic Characteristics and Bioprocesses of Marine Enzymes; Trincone, A., Ed.; Woodhead Publishing Series in Biomedicine: Cambridge, UK, 2013; pp. 109–130. [Google Scholar]
  42. Xie, B.B.; Shu, Y.L.; Qin, Q.L.; Rong, J.C.; Zhang, X.Y.; Chen, X.L.; Zhou, B.C.; Zhang, Y.Z. Genome sequence of the cycloprodigiosin-producing bacterial strain Pseudoalteromonas rubra ATCC 29570(T). J. Bacteriol. 2012, 194, 1637–1638. [Google Scholar] [CrossRef] [PubMed]
  43. Bosi, E.; Fondi, M.; Orlandini, V.; Perrin, E.; Maida, I.; de Pascale, D.; Tutino, M.L.; Parrilli, E.; Lo Giudice, A.; Filloux, A.; et al. The pan-genome of (Antarctic) Pseudoalteromonas bacteria: Evolutionary and functional insights. BMC Genom. 2017, 18, 93. [Google Scholar] [CrossRef] [PubMed]
  44. Isnansetyo, A.; Kamei, Y. Mc21-A, a bactericidal antibiotic produced by a new marine bacterium, Pseudoalteromonas phenolica sp. nov. O-BC30(T), against methicillin-resistant Staphylococcus aureus. Antimicrob. Agents Chemother. 2003, 47, 480–488. [Google Scholar] [CrossRef] [PubMed]
  45. Sannino, F.; Parrilli, E.; Apuzzo, G.A.; de Pascale, D.; Tedesco, P.; Maida, I.; Perrin, E.; Fondi, M.; Fani, R.; Marino, G.; et al. Pseudoalteromonas haloplanktis produces methylamine, a volatile compound active against Burkholderia cepacia complex strains. New Biotechnol. 2017, 35, 13–18. [Google Scholar] [CrossRef] [PubMed]
  46. Médigue, C.; Krin, E.; Pascal, G.; Barbe, V.; Bernsel, A.; Bertin, P.N.; Cheung, F.; Cruveiller, S.; D’Amico, S.; Duilio, A.; et al. Coping with cold: The genome of the versatile marine Antarctica bacterium Pseudoalteromonas haloplanktis TAC125. Genome Res. 2005, 15, 1325–1335. [Google Scholar] [CrossRef] [PubMed]
  47. Grigoriev, I.V.; Nordberg, H.; Shabalov, I.; Aerts, A.; Cantor, M.; Goodstein, D.; Kuo, A.; Minovitsky, S.; Nikitin, R.; Ohm, R.A.; et al. The genome portal of the department of energy joint genome institute. Nucleic Acids Res. 2012, 40, D26–D32. [Google Scholar] [CrossRef] [PubMed]
  48. Nordberg, H.; Cantor, M.; Dusheyko, S.; Hua, S.; Poliakov, A.; Shabalov, I.; Smirnova, T.; Grigoriev, I.V.; Dubchak, I. The genome portal of the department of energy joint genome institute: 2014 updates. Nucleic Acids Res. 2014, 42, D26–D31. [Google Scholar] [CrossRef] [PubMed]
  49. Chaudhari, N.M.; Gupta, V.K.; Dutta, C. Bpga—An ultra-fast pan-genome analysis pipeline. Sci. Rep. 2016, 6, 24373. [Google Scholar] [CrossRef] [PubMed]
  50. Lagesen, K.; Hallin, P.; Rødland, E.A.; Staerfeldt, H.H.; Rognes, T.; Ussery, D.W. Rnammer: Consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007, 35, 3100–3108. [Google Scholar] [CrossRef] [PubMed]
  51. Fan, L.; Reynolds, D.; Liu, M.; Stark, M.; Kjelleberg, S.; Webster, N.S.; Thomas, T. Functional equivalence and evolutionary convergence in complex communities of microbial sponge symbionts. Proc. Natl. Acad. Sci. USA 2012, 109, E1878–E1887. [Google Scholar] [CrossRef] [PubMed]
  52. Bardou, P.; Mariette, J.; Escudié, F.; Djemiel, C.; Klopp, C. Jvenn: An interactive Venn diagram viewer. BMC Bioinform. 2014, 15, 293. [Google Scholar] [CrossRef] [PubMed]
  53. Tamura, K.; Stecher, G.; Peterson, D.; Filipski, A.; Kumar, S. MEGA6: Molecular evolutionary genetics analysis version 6.0. Mol. Biol. Evol. 2013, 30, 2725–2729. [Google Scholar] [CrossRef] [PubMed]
  54. Letunic, I.; Bork, P. Interactive Tree Of Life (itol): An online tool for phylogenetic tree display and annotation. Bioinformatics 2007, 23, 127–128. [Google Scholar] [CrossRef] [PubMed]
  55. Letunic, I.; Bork, P. Interactive Tree Of Life v2: Online annotation and display of phylogenetic trees made easy. Nucleic Acids Res. 2011, 39, W475–W478. [Google Scholar] [CrossRef] [PubMed]
  56. Medini, D.; Donati, C.; Tettelin, H.; Masignani, V.; Rappuoli, R. The microbial pan-genome. Curr. Opin. Genet. Dev. 2005, 15, 589–594. [Google Scholar] [CrossRef] [PubMed]
  57. Blin, K.; Medema, M.H.; Kazempour, D.; Fischbach, M.A.; Breitling, R.; Takano, E.; Weber, T. Antismash 2.0—A versatile platform for genome mining of secondary metabolite producers. Nucleic Acids Res. 2013, 41, W204–W212. [Google Scholar] [CrossRef] [PubMed]
  58. Medema, M.H.; Blin, K.; Cimermancic, P.; de Jager, V.; Zakrzewski, P.; Fischbach, M.A.; Weber, T.; Takano, E.; Breitling, R. Antismash: Rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences. Nucleic Acids Res. 2011, 39, W339–W346. [Google Scholar] [CrossRef] [PubMed]
  59. Weber, T.; Blin, K.; Duddela, S.; Krug, D.; Kim, H.U.; Bruccoleri, R.; Lee, S.Y.; Fischbach, M.A.; Müller, R.; Wohlleben, W.; et al. Antismash 3.0—A comprehensive resource for the genome mining of biosynthetic gene clusters. Nucleic Acids Res. 2015, 43, W237–W243. [Google Scholar] [CrossRef] [PubMed]
  60. Reynolds, D.; Thomas, T. Evolution and function of eukaryotic-like proteins from sponge symbionts. Mol. Ecol. 2016, 25, 5242–5253. [Google Scholar] [CrossRef] [PubMed]
  61. Siegl, A.; Kamke, J.; Hochmuth, T.; Piel, J.; Richter, M.; Liang, C.; Dandekar, T.; Hentschel, U. Single-cell genomics reveals the lifestyle of Poribacteria, a candidate phylum symbiotically associated with marine sponges. ISME J. 2011, 5, 61–70. [Google Scholar] [CrossRef] [PubMed]
  62. Lee, S.O.; Kato, J.; Nakashima, K.; Kuroda, A.; Ikeda, T.; Takiguchi, N.; Ohtake, H. Cloning and characterization of extracellular metal protease gene of the algicidal marine bacterium Pseudoalteromonas sp. Strain A28. Biosci. Biotechnol. Biochem. 2002, 66, 1366–1369. [Google Scholar] [CrossRef] [PubMed]
  63. Bartlett, D.H.; Wright, M.E.; Silverman, M. Variable expression of extracellular polysaccharide in the marine bacterium Pseudomonas atlantica is controlled by genome rearrangement. Proc. Natl. Acad. Sci. USA 1988, 85, 3923–3927. [Google Scholar] [CrossRef] [PubMed]
  64. Longeon, A.; Peduzzi, J.; Barthélemy, M.; Corre, S.; Nicolas, J.L.; Guyot, M. Purification and partial identification of novel antimicrobial protein from marine bacterium Pseudoalteromonas species strain X153. Mar. Biotechnol. N. Y. 2004, 6, 633–641. [Google Scholar] [CrossRef] [PubMed]
  65. Zhang, X.; Enomoto, K. Characterization of a gene cluster and its putative promoter region for violacein biosynthesis in Pseudoalteromonas sp. 520P1. Appl. Microbiol. Biotechnol. 2011, 90, 1963–1971. [Google Scholar] [CrossRef] [PubMed]
  66. Sezonov, G.; Joseleau-Petit, D.; D’Ari, R. Escherichia coli physiology in luria-bertani broth. J. Bacteriol. 2007, 189, 8746–8749. [Google Scholar] [CrossRef] [PubMed]
  67. Papa, R.; Rippa, V.; Sannia, G.; Marino, G.; Duilio, A. An effective cold inducible expression system developed in Pseudoalteromonas haloplanktis tac125. J. Biotechnol. 2007, 127, 199–210. [Google Scholar] [CrossRef] [PubMed]
  68. Sørensen, A.; Lübeck, M.; Lübeck, P.S.; Ahring, B.K. Fungal beta-glucosidases: A bottleneck in industrial use of lignocellulosic materials. Biomolecules 2013, 3, 612–631. [Google Scholar] [CrossRef] [PubMed]
  69. Singh, G.; Verma, A.K.; Kumar, V. Catalytic properties, functional attributes and industrial applications of β-glucosidases. 3 Biotech 2016, 6, 3. [Google Scholar] [CrossRef] [PubMed]
  70. Matsumoto, M.; Yokouchi, H.; Suzuki, N.; Ohata, H.; Matsunaga, T. Saccharification of marine microalgae using marine bacteria for ethanol production. Appl. Biochem. Biotechnol. 2003, 105, 247–254. [Google Scholar] [CrossRef]
  71. El-Naggar, M.M.; Abdul-Raouf, U.M.; Ibrahim, H.A.; El-Sayed, W.M. Saccharification of ulva lactuca via Pseudoalteromonas piscicida for biofuel production. J. Energy Natl. Resour. 2014, 3, 77–84. [Google Scholar]
  72. Offret, C.; Desriac, F.; Le Chevalier, P.; Mounier, J.; Jégou, C.; Fleury, Y. Spotlight on antimicrobial metabolites from the marine bacteria Pseudoalteromonas: Chemodiversity and ecological significance. Mar. Drugs 2016, 14, 129. [Google Scholar] [CrossRef] [PubMed]
  73. Kamke, J.; Bayer, K.; Woyke, T.; Hentschel, U. Exploring symbioses by single-cell genomics. Biol. Bull. 2012, 223, 30–43. [Google Scholar] [CrossRef] [PubMed]
  74. Shikuma, N.J.; Pilhofer, M.; Weiss, G.L.; Hadfield, M.G.; Jensen, G.J.; Newman, D.K. Marine tubeworm metamorphosis induced by arrays of bacterial phage tail-like structures. Science 2014, 343, 529–533. [Google Scholar] [CrossRef] [PubMed]
  75. Shirazian, P.; Asad, S.; Amoozegar, M. The potential of halotolerant bacteria for the production of antineoplastic enzymes: l-asparaginase and l-glutaminase. Excli J. 2016, 15, 268–279. [Google Scholar] [PubMed]
  76. Cavicchioli, R.; Charlton, T.; Ertan, H.; Mohd Omar, S.; Siddiqui, K.S.; Williams, T.J. Biotechnological uses of enzymes from psychrophiles. Microb. Biotechnol. 2011, 4, 449–460. [Google Scholar] [CrossRef] [PubMed]
  77. Bhatia, Y.; Mishra, S.; Bisaria, V.S. Microbial β-glucosidases: Cloning, properties and applications. Crit. Rev. Biotechnol. 2002, 22, 375–407. [Google Scholar]
  78. Market Reports Hub. Available online: http://www.marketreportshub.com/proteases-industry-research-marketsandmarkets.html (accessed on 8 June 2017).
  79. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef] [PubMed]
  80. Bankevich, A.; Nurk, S.; Antipov, D.; Gurevich, A.A.; Dvorkin, M.; Kulikov, A.S.; Lesin, V.M.; Nikolenko, S.I.; Pham, S.; Prjibelski, A.D.; et al. Spades: A new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef] [PubMed]
  81. Parks, D.H.; Imelfort, M.; Skennerton, C.T.; Hugenholtz, P.; Tyson, G.W. Checkm: Assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015, 25, 1043–1055. [Google Scholar] [CrossRef] [PubMed]
  82. Aziz, R.K.; Bartels, D.; Best, A.A.; DeJongh, M.; Disz, T.; Edwards, R.A.; Formsma, K.; Gerdes, S.; Glass, E.M.; Kubal, M.; et al. The rast server: Rapid annotations using subsystems technology. BMC Genom. 2008, 9, 75. [Google Scholar] [CrossRef] [PubMed]
  83. Brettin, T.; Davis, J.J.; Disz, T.; Edwards, R.A.; Gerdes, S.; Olsen, G.J.; Olson, R.; Overbeek, R.; Parrello, B.; Pusch, G.D.; et al. Rasttk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci. Rep. 2015, 5, 8365. [Google Scholar] [CrossRef] [PubMed]
  84. Overbeek, R.; Olson, R.; Pusch, G.D.; Olsen, G.J.; Davis, J.J.; Disz, T.; Edwards, R.A.; Gerdes, S.; Parrello, B.; Shukla, M.; et al. The seed and the rapid annotation of microbial genomes using subsystems technology (RAST). Nucleic Acids Res. 2014, 42, D206–D214. [Google Scholar] [CrossRef] [PubMed]
Marinedrugs 15 00184 g001 550
Figure 1. Whole genome comparison of translated non-redundant protein clusters from all three isolates and the two reference genomes (generated with [52]). Green coloured is Pseudoalteromonas haloplanktis TAC125, blue coloured Pseudoalteromonas sp. SM9913, light red coloured is SK18, yellow coloured is SK20 and orange coloured is EB27.
Figure 1. Whole genome comparison of translated non-redundant protein clusters from all three isolates and the two reference genomes (generated with [52]). Green coloured is Pseudoalteromonas haloplanktis TAC125, blue coloured Pseudoalteromonas sp. SM9913, light red coloured is SK18, yellow coloured is SK20 and orange coloured is EB27.
Marinedrugs 15 00184 g001
Marinedrugs 15 00184 g002 550
Figure 2. Phylogenetic comparison of the isolates investigated and reference strains (marked in red are the isolates that are used for this study. Maximum likelihood bootstrap consensus tree from 1000 replicates, calculated with MEGA6.0 [53] and visualized with iTOL [54,55]).
Figure 2. Phylogenetic comparison of the isolates investigated and reference strains (marked in red are the isolates that are used for this study. Maximum likelihood bootstrap consensus tree from 1000 replicates, calculated with MEGA6.0 [53] and visualized with iTOL [54,55]).
Marinedrugs 15 00184 g002
Marinedrugs 15 00184 g003 550
Figure 3. Cluster of orthologous groups (COG) distribution of the core, accessory, and unique genes of the five investigated Pseudoalteromonas genomes (generated with [49]).
Figure 3. Cluster of orthologous groups (COG) distribution of the core, accessory, and unique genes of the five investigated Pseudoalteromonas genomes (generated with [49]).
Marinedrugs 15 00184 g003
Marinedrugs 15 00184 g004 550
Figure 4. Core vs. pan-genome size plot generated with Bacterial Pan Genome Analysis BPGA tool [49].
Figure 4. Core vs. pan-genome size plot generated with Bacterial Pan Genome Analysis BPGA tool [49].
Marinedrugs 15 00184 g004
Marinedrugs 15 00184 g005 550
Figure 5. Optimal temperature (a), temperature stability (b), pH dependency (c) and halotolerance (d) assay results of a heterologously expressed β-glucosidase from the Pseudoalteromonas sp. EB27. The highest activity per assay was set as 100% activity and the other values were calculated accordingly. The highest total activity was measured as 2.5 U/mg of β-glucosidase at pH 7.6 and 28 °C.
Figure 5. Optimal temperature (a), temperature stability (b), pH dependency (c) and halotolerance (d) assay results of a heterologously expressed β-glucosidase from the Pseudoalteromonas sp. EB27. The highest activity per assay was set as 100% activity and the other values were calculated accordingly. The highest total activity was measured as 2.5 U/mg of β-glucosidase at pH 7.6 and 28 °C.
Marinedrugs 15 00184 g005
Marinedrugs 15 00184 g006 550
Figure 6. Organisation of the Bacteriocin gene clusters found in the investigated genomes (adapted from antiSMASH [57,58,59]). Red coloured genes are biosynthetic genes, blue coloured transport-related genes, green coloured regulatory genes and grey coloured other/unidentified genes. The red arrow points add the gene containing a tetratricopeptide repeat.
Figure 6. Organisation of the Bacteriocin gene clusters found in the investigated genomes (adapted from antiSMASH [57,58,59]). Red coloured genes are biosynthetic genes, blue coloured transport-related genes, green coloured regulatory genes and grey coloured other/unidentified genes. The red arrow points add the gene containing a tetratricopeptide repeat.
Marinedrugs 15 00184 g006
Table
Table 1. Enzyme active profile of the Pseudoalteromonas sp. isolates based on plate screenings. Activity is depicted as ‘X’ and intensity is indicated by the number of ‘Xs’, with ‘X’ low activity and ‘XXX’ describing highest activity. (Glc = β-glucosidase, Gal = β-galactosidase).
Table 1. Enzyme active profile of the Pseudoalteromonas sp. isolates based on plate screenings. Activity is depicted as ‘X’ and intensity is indicated by the number of ‘Xs’, with ‘X’ low activity and ‘XXX’ describing highest activity. (Glc = β-glucosidase, Gal = β-galactosidase).
Isolate IDSpongeDepth (m)CellulaseLipaseProteaseβ-Glc/Gal
EB27Poecillastra compressa1480XXXXXXXXX (Glc)
SK18Sericolophus hawaiicus2129-XXXX-
SK20Inflatella pellicula2900-X-XXX (Gal)
Table
Table 2. Growth characteristics (specific growth rate and generation time) of the Pseudoalteromonas sponge isolates at different temperatures (n = 3), including standard errors. Mu (specific growth rate) = (ln(X1) − ln(X0))/(t1 − t0).
Table 2. Growth characteristics (specific growth rate and generation time) of the Pseudoalteromonas sponge isolates at different temperatures (n = 3), including standard errors. Mu (specific growth rate) = (ln(X1) − ln(X0))/(t1 − t0).
ID4 °C mu; tgen (min)23 °C mu; tgen (min)28 °C mu; tgen (min)37 °C mu; tgen (min)
EB270.54 ± 0.15; 88.3 ± 20.011.03 ± 0.05; 40.6 ± 2.10.98 ± 0.04; 42.46 ± 1.840.82 ± 0.09; 51.39 ± 6.75
SK180.28 ± 0.06; 159.36 ± 12.751.76 ± 0.095; 23.8 ± 1.242.08 ± 0.013; 20 ± 0.131.46 ± 0.16; 29.04 ± 2.9
SK200.29 ± 0.02; 144.92 ± 31.20.99 ± 0.08; 42.36 ± 3.561.41 ± 0.01; 29.5 ± 0.240.9 ± 0.14; 48.66 ± 7.29
Table
Table 3. Genome sequencing statistics and genome features of reference strains. (CDS, coding DNA sequences, N50 weighted median length of the sequences making up 50% of genome size).
Table 3. Genome sequencing statistics and genome features of reference strains. (CDS, coding DNA sequences, N50 weighted median length of the sequences making up 50% of genome size).
IDGenome Size (Mb)GC ContentN50 (kb)ContigsCDSNo. of RNAsCoverageGenome Completness (%)
TAC1253.8540.1%n/an/a3473134n/a100
SM99134.0440.3%n/an/a369987n/a100
EB274.5639.1%216.91144012136196×99.72
SK183.9840.2%156.51153582110213×99.75
SK204.1540.3%98.52133811139230×99.66
Table
Table 4. Abundance of genes encoding for enzymes of potential industrial interest.
Table 4. Abundance of genes encoding for enzymes of potential industrial interest.
IDLipase/Est.β-GalactosidaseProteaseβ-GlucosidaseCellulase
TAC1254903502
SM99136704223
EB276914845
SK186303923
SK205614023
Table
Table 5. Abundance of secondary metabolite gene clusters.
Table 5. Abundance of secondary metabolite gene clusters.
IDBacteriocinArylpolyeneSiderophore
TAC12511-
SM99131-1
EB2721-
SK18111
SK201--
Table
Table 6. Abundance of genes suggested being involved in a symbiotic relationship.
Table 6. Abundance of genes suggested being involved in a symbiotic relationship.
IDAnkyrin RepeatsTetratricopeptide RepeatsNitrite ReductaseProteasesSulfatasesPeptidases
TAC12522135058
SM991312042163
EB2722348065
SK1812039163
SK2012040158

Share and Cite

MDPI and ACS Style

Borchert, E.; Knobloch, S.; Dwyer, E.; Flynn, S.; Jackson, S.A.; Jóhannsson, R.; Marteinsson, V.T.; O’Gara, F.; Dobson, A.D.W. Biotechnological Potential of Cold Adapted Pseudoalteromonas spp. Isolated from ‘Deep Sea’ Sponges. Mar. Drugs 2017, 15, 184. https://doi.org/10.3390/md15060184

AMA Style

Borchert E, Knobloch S, Dwyer E, Flynn S, Jackson SA, Jóhannsson R, Marteinsson VT, O’Gara F, Dobson ADW. Biotechnological Potential of Cold Adapted Pseudoalteromonas spp. Isolated from ‘Deep Sea’ Sponges. Marine Drugs. 2017; 15(6):184. https://doi.org/10.3390/md15060184

Chicago/Turabian Style

Borchert, Erik, Stephen Knobloch, Emilie Dwyer, Sinéad Flynn, Stephen A. Jackson, Ragnar Jóhannsson, Viggó T. Marteinsson, Fergal O’Gara, and Alan D. W. Dobson. 2017. "Biotechnological Potential of Cold Adapted Pseudoalteromonas spp. Isolated from ‘Deep Sea’ Sponges" Marine Drugs 15, no. 6: 184. https://doi.org/10.3390/md15060184

APA Style

Borchert, E., Knobloch, S., Dwyer, E., Flynn, S., Jackson, S. A., Jóhannsson, R., Marteinsson, V. T., O’Gara, F., & Dobson, A. D. W. (2017). Biotechnological Potential of Cold Adapted Pseudoalteromonas spp. Isolated from ‘Deep Sea’ Sponges. Marine Drugs, 15(6), 184. https://doi.org/10.3390/md15060184

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop