The mucosal microbiota is recognised as an important factor for our health, with many disease states linked to imbalances in the normal community structure. Hence, there is considerable interest in identifying the molecular basis of human-microbe interactions. In this work we investigated the capacity of microbes to thrive on mucosal surfaces, either as mutualists, commensals or pathogens, using comparative genomics to identify co-occurring molecular traits. We identified a novel domain we named M60-like/PF13402 (new Pfam entry PF13402), which was detected mainly among proteins from animal host mucosa-associated prokaryotic and eukaryotic microbes ranging from mutualists to pathogens. Lateral gene transfers between distantly related microbes explained their shared M60-like/PF13402 domain. The novel domain is characterised by a zinc-metallopeptidase-like motif and is distantly related to known viral enhancin zinc-metallopeptidases. Signal peptides and/or cell surface anchoring features were detected in most microbial M60-like/PF13402 domain-containing proteins, indicating that these proteins target an extracellular substrate. A significant subset of these putative peptidases was further characterised by the presence of associated domains belonging to carbohydrate-binding module family 5/12, 32 and 51 and other glycan-binding domains, suggesting that these novel proteases are targeted to complex glycoproteins such as mucins. An in vitro mucinase assay demonstrated degradation of mammalian mucins by a recombinant form of an M60-like/PF13402-containing protein from the gut mutualist Bacteroides thetaiotaomicron. This study reveals that M60-like domains are peptidases targeting host glycoproteins. These peptidases likely play an important role in successful colonisation of both vertebrate mucosal surfaces and the invertebrate digestive tract by both mutualistic and pathogenic microbes. Moreover, 141 entries across various peptidase families described in the MEROPS database were also identified with carbohydrate-binding modules defining a new functional context for these glycan-binding domains and providing opportunities to engineer proteases targeting specific glycoproteins for both biomedical and industrial applications.
Citation: Nakjang S, Ndeh DA, Wipat A, Bolam DN, Hirt RP (2012) A Novel Extracellular Metallopeptidase Domain Shared by Animal Host-Associated Mutualistic and Pathogenic Microbes. PLoS ONE 7(1): e30287. doi:10.1371/journal.pone.0030287
Editor: Eugene A. Permyakov, Russian Academy of Sciences - Institute for Biological Instrumentation, Russian Federation
Received: October 20, 2011; Accepted: December 16, 2011; Published: January 27, 2012
Copyright: © 2012 Nakjang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: SN's PhD project was supported by the Faculty of Medical Sciences and the School of Computing Science at Newcastle University and an Overseas Research Students Awards Scheme. DN's PhD project is funded by the Commonwealth Scholarship Commission and the Department for International Development. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The cells of our resident microbiota are estimated to outnumber human cells by factor of 10 and to encode in toto a significantly more extensive proteomes than the human genome . This vast microbial proteome can be considered as an extension of our own as microorganisms are known to mediate numerous metabolic capabilities not carried out by mammalian cells and influence important aspects of human development, immunity and nutrition , . The symbiotic relationship between humans and their microbiota ranges from mutualism through commensalism to parasitism, which can be considered to form a continuum rather than discretely defined phenotypes . Despite the importance of the human microbiota to health there are currently significant gaps in our understanding of the molecular basis of host-microbe interactions, in particular for mutualistic outcomes. Hence there is currently tremendous interest in investigating the proteome complement of the human mucosal microbiota, as the mucosal surfaces are the dominant interface for host-microbe interactions, with microbial cell surface and secreted proteins likely representing key players mediating interactions for both mutualistic and pathogenic outcomes , , . The mucus gel, the defining feature of mucosal surfaces, acts as an important defensive layer protecting the underlying epithelial cells from chemical, physical and microbial attacks , , . Indeed, many pathogens produce adhesins that binds to, and enzymes that degrade, mucins, the major component of mucus to enable access to the underlying cells and tissue , . In addition a small fraction of gut mutualists are also known to degrade mucins, which represent an important source of nutrients for these microbes and contributes to the overall mucosa homeostasis , . Mucins are a family of high molecular weight glycoproteins composed of a linear peptide backbone heavily decorated with long oligosaccharide side chains , . These sugar chains are usually O-linked and can make up 50–80% of the mucin by weight. Degradation of mucins thus requires the concerted action of both glycosidases and peptidases ,  but nothing is currently known about such peptidases among mutualists .
Unique or enriched proteins/protein domains encoded by microorganisms sharing a given phenotype/trait, including the capacity to thrive in a given habitat, can be revealed through comparative genomics , , , , with such genotypic features being thought to correspond to specific adaptations of the autochthonous microbes for their habitat(s) of predilection. The availability of vast, and rapidly expanding, genome sequence databases enables comparative genomics to be performed over a wide range of organisms across the three domains of cellular life, encompassing a broad diversity of habitats . Current sequencing technologies are also enabling metagenomic studies of microbial communities from various habitats providing additional opportunities to generate more comprehensive understanding of the molecular basis of host-microbes associations , , , .
The elucidation of the genomes of two important human mucosal pathogens, the microbial eukaryotes Entamoeba histolytica, a pathogen of the gastrointestinal tract (GIT) , , and Trichomonas vaginalis a pathogen of the urogenital tract (UGT) , , identified several genes and gene families encoding putative enzymes and surface proteins shared with other mucosal microbes through lateral gene transfers (LGT), including pathogenic and mutualistic Bacteria , , . One family of T. vaginalis candidate surface proteins, with two members recently shown to be expressed on the cell surface of analysed clinical isolates , showed significant sequence similarities  to an E. histolytica immuno-dominant surface protein . However, little is currently known about the function of these surface proteins from E. histolytica or T. vaginalis. The E. histolytica protein contains a domain with similarity to carbohydrate-binding module (CBM) from family 32 and was recently shown to accumulate at the surface of the parasite uropods  and might be involved in phagocytosis , . CBMs are discrete folded domains that bind complex glycans and are normally found as ancillary modules in carbohydrate-active enzymes , . They are organised into sequence-based families and display specificity for a wide range of mainly polymeric saccharide ligands . While ligand specificity within a family is often not conserved it can be indicative of the likely activity of an uncharacterised CBM sequence belonging to that family.
Here we present the in silico characterisation of a novel protein domain shared between the E. histolytica and T. vaginalis surface proteins in relation to their taxonomic distribution, structural organisation and potential functions. Our analyses demonstrated that the novel domain (Pfam entry PF13402, named M60-like/PF13402) defines a new sub-family of extracellular zinc (Zn)-metallopeptidases that are conserved amongst a range of host-associated bacterial and eukaryotic microbes including mutualists and pathogens of invertebrates and vertebrates. The great majority of microbial M60-like/PF13402 containing proteins possess surface anchoring motifs and the putative peptidase domain was often associated with sequences that have been implicated in complex glycan recognition such as CBMs. Biochemical analyses demonstrated that an M60-like/PF13402 protein from Bacteroides thetaiotaomicron, a prominent member of our indigenous gut microbiota, displayed metal and a catalytic glutamate residue dependent proteolytic activity against mammalian mucins, identifying the first peptidase with mucinase activity from a human mutualist. These data strongly support the hypothesis that M60-like/PF13402 containing proteins play important roles in colonisation of the invertebrate digestive tract and vertebrate mucosal surfaces by a broad diversity of mutualistic and pathogenic microbes.
Identification of a new protein domain and profile construction
Based on BlastP top hits we annotated a protein family of T. vaginalis as candidate surface immuno-dominant proteins ,  sharing sequence features with a immuno-dominant surface protein from E. histolytica . The next most significant hits included proteins from bacteria known to be able to thrive on mammalian mucosal surfaces including, Mycoplasma penetrans (a Tenericutes) a human mucosal pathogen that can infect the UGT and respiratory tract (RT)  and Clostridium perfringens (a Firmicute) that can infect the GIT of various mammals . Related proteins encoded by mammalian genomes were also identified (data not shown). The residues 100–500 of the N-terminus of one member of T. vaginalis candidate surface protein family (NCBI GI:123449825, XP_001313628, 1247 residues) were co-aligned with sub-regions of related sequences in PSI-Blast searches (Figure S1). However, no known functional features were detected in the corresponding segment when scanning the T. vaginalis query sequence against an integrated database of protein domains and functional sites InterPro . The absence of recognised features on the broadly conserved regions suggested the discovery of a new protein domain. Hence a more specific PSI-Blast search, restricted to the first 500 residues of the same query sequence, was performed against the RefSeq protein database and identified 552 proteins (e-value ≤1.00E-4) from 333 different species/strains (Table S1). The hit list was characterised by a highly patchy taxonomic distribution including eukaryotes, bacteria and baculoviruses (Table S1). For the 333 resulting taxa, 67% of them had one protein sequence matching the query sequence. Another 30% had two to four proteins, each with one hit from the query sequence. Two microbial species living on mammalian mucosa, T. vaginalis and Bacteroides caccae were endowed with the largest hit list with 26 and 16 distinct annotated proteins, respectively. A multiple sequence alignment was generated with the sequences from the PSI-Blast hit list in order to investigate the features of the conserved domain. Maximising conservation levels of aligned sites (see Methods) and removing redundant and partial sequences over the conserved segment resulted in an alignment of 206 columns across 27 sequences (Figure S2). This alignment was submitted to the Pfam database and was confirmed to represent a novel domain. Following curation at the Pfam database the original alignment was extended to a broader range of sites (387 columns) and sequences (68 entries) (Figure 1, Figure S3) and used to generate a HMM profile defining the Pfam entry PF13402.
Six selected proteins from the PF13402 seed alignment are indicated with their abbreviated species names (first three letters of genus and species name) followed by the position of the PF13402 domain. Three sequences (Vibcho, Bacthe, Enthis) were added and aligned to the PF13402 seed alignment using the MUSCLE profile alignment option in SEAVIEW. Full taxa names and GI and RefSeq accession numbers are: Vibrio cholerae: GI:297579165, ZP_06941093.1; Escherichia coli: GI:91212381, YP_542367.1; Bacillus thuringiensis: GI:228930091, ZP_04093101.1; Photorhabdus asymbiotica: GI:253989814, YP_003041170.1; Bacteroides thetaiotaomicron: GI:29349652, NP_813155.1 (BT4244); Trichomonas vaginalis: GI:123975108, XP_001330197.1; Entamoeba histolytica: GI:67478183, XP_654508.1; Homo sapiens: GI:293651621. NP_001123498.2 and Akkermansia muciniphila: GI:187736004, YP_001878116.1). The colour coding of amino acids indicate residues with similar physicochemical properties as defined in the alignment editor SEAVIEW. The minimal zincin metallopeptidase HEXXH motif and the additional conserved glutamate (E), defining the gluzincins-like motif HEXXHX(8,24)E, are boxed.
The PF13402 domain is related to M60-enhancin Zn-metallopeptidases
The newly generated profile was used to search the RefSeq protein database (retrieved date: 20th January 2010) with HMMER identifying 523 significant hits (e-value ≤1.00E-5) derived from 322 taxa, including a subset of those hit by the PSI-Blast search and six additional entries (Table S2). These included members of seven major bacterial and eukaryotic taxa and baculoviruses (Table S2), in line with the initial PSI-Blast searches (Table S1). The great majority of these proteins, 489 entries (93%), possess the HEXXH motif (Table S2) that was aligned to each other in a global alignment (Figure 1). This motif is characteristic of a broad range of functionally characterised Zn-metallopeptidases (where it is called the zincin motif) where the two histidine residues are ligands of a catalytic Zn++ and the glutamate residue represents the single catalytic amino acid residue . An additional conserved glutamate was also aligned across the related sequences defining the pattern HEXXHX(8,28)E (Figure 1, Table S2). This motif is suggestive of a gluzincin-like family of Zn-metallopeptidases, where the second conserved glutamate potentially acts as a third proteous Zn++ ligand .
Consistent with this hypothesis entries positive for the PF13402 profile were also positive for a pattern characteristic of some Zn-metallopeptidases (PROSITE entry PS00142, 94 entries) or hit by the M60-enhancin domain (HMMER search with Pfam entry PF03272, 111 entries) (Table S2) with enhancin being a Zn-metallopeptidase that is a well established baculovirus virulence factor , . However the majority (72%) of the 523 entries positive for the PF13402 profile were not positive for either of these two sequence features despite possessing the pattern HEXXHX(8,28)E. These observations prompted us to search the MEROPS peptidase database ( - retrieved date: 2nd May 2010) with the PF13402 profile. Significant hits (with a conservative cut-off e-value ≤1.00E-5) included 38 entries and these are all members of the family M60-enhancin peptidase, with the three most significant hits being from Bacillus cereus (two entries) and Akkermansia muciniphila, a mucin degrading bacterium from the human gut  (Table S3). The Zn-metallopeptidase domain of the M60-enhancin annotated peptidases in MEROPS overlapped with the new domain and included the shared HEXXHX(8,28)E pattern. Of these 38 MEROPS entries, 35 were identified as having the M60-enhancin/PF03272 domain by InterProScan (Table S3). The three most significant hits (lowest e-values) for the PF13402 profile corresponded to the three entries negative for the M60-enhancin/PF03272 profile (Tables S2, S3). Plotting the difference of the HMMER search bit scores between profiles PF13402 and PF03272 against the PSI-Blast scores indicated that the PF13402 profile correlated better with the PSI-Blast profiles than the PF03272 profile does (Figure 2). The most significant hits for the M60-enhancin/PF03272 profile corresponded to the least significant hits for the PF13402 and PSI-Blast profiles, consistent with the characterisation of a new protein domain (Figure 2, Table S2). The difference of the HMMER search bit scores between profiles PF13402 and PF03272 defined a total of 415 entries positive for the PF13402 profile (Figure 2 and Table S2). The remaining entries positive for the PF03272 profile (enhancin-like entries) were from two Fungi, bacteria and baculoviruses (Table S2) of which 48 taxa also encoded one or more entries positive for the PF13402 profile (two Fungi and 46 Firmicutes)(Table S2). Hence we named the new domain and corresponding profile M60-like/PF13402 to clearly differentiate it from the related M60-enhancin/PF03272 profile. To further investigate the possibility that the M60-like/PF13402 domain corresponds to Zn-metallopeptidases we performed HMM-HMM profile comparisons (Table S4). The first hit for the M60-like/PF13402 profile corresponds to a PANTHER family (PTHR15730). However the PTHR15730 profile has no known assigned function (Table S4) and it is about three times longer than the M60-like/PF13402 profile (928 and 307 positions, respectively). The second hit corresponds to the M60-enhancin/PF03272 profile where the aligned positions with the M60-like/PF13402 included the motif HEXXHX(8,28)E (Figure 3, Table S4). Similarly to the PTHR15730 profile, the M60-enhancin/PF03272 profile is longer than the M60-like/PF13402 profile (775 and 307 positions, respectively). Moreover, searching the RefSeq database with the PTHR15730 or M60-enhancin/PF03272 profile recovered fewer entries (e-value cut off ≤1.00E-4; 127 and 212 entries, respectively) (Table S5). Among the 415 identified M60-like/PF13402 entries, the PTHR15730 and M60-enhancin/PF03272 profiles recovered only 127 and 35 entries, respectively, further illustrating the importance of the new profile PF13402 (Table S5). The following HMM-HMM profile hits were drastically less significant and corresponded to other Zn-metallopeptidase profiles with the shared zincin HEXXH motif being co-aligned between the profiles (Table S4) in all cases.
The bit score for the RefSeq proteins hit by a PSI-Blast search (X-axis) (query: T. vaginalis protein GI:123449825, XP_001313628; e-value ≤1.00E-04) were plotted against the difference of the HMMER bit scores for the PF13402 and PF03272 profiles (PF13402 minus PF03272)(Y-axis). A total of 415 entries were more significant for the PF13402 profile (positive values) and the remaining entries were more significant for the PF03272 profile (negative values). These results indicate that the M60-like/PF13402 and M60-enhancin/PF03272 profiles hit related proteins forming at least two distinct subfamilies defined by these two profiles that are not well discriminated by the PSI-Blast search. As expected the PSI-Blast derived profile is clearly more similar to the PF13402 profile than to the PF03272 profile as the query sequence used for the PSI-Blast search is hit by the PF13402 profile (bit-score 260, e-value 1.40E-74) but is not hit by the PF03272 profile. All values are listed in Table S2.
The alignment was derived from an HHpred search against all databases using the M60-like/PF13402 seed alignment as query (Table S4). The alignment corresponds to the second most significant hit to the enhancin/PF03272 profile (e-value 2.2E-37, score 307.8 and Probability 100%). The shown lines consists of ‘SS_pred’ lines representing sequence secondary structures predicted by PSIPRED, ‘consensus’ lines showing the consensus sequences of the PF13402 domain (shown with the top sequence) and the corresponding PF03272 domain. Amino acid residues are marked in capital letters when occurring with a frequency ≥60% and lower cases when ≥40% in the respective seed alignments. A tilda indicates an un-conserved column. The line in between the two consensus sequences shows the match quality and is defined as follows: ‘ = ’ very bad match, ‘−’ bad, ‘.’ neutral, ‘+’ good match and ‘|’ very good match. The well-conserved zincin HEXXH motif and an additional glutamate (E) residue part of a potential gluzincin are boxed. The upper and lower case letters in ‘SS_pred’ lines for secondary structure predictions show high and low probability respectively where H = helix, E = strand, and C = coil.
Taken together these different considerations strongly support the hypothesis that the newly defined M60-like/PF13402 domain corresponds to a novel Zn-metallopeptidase sub-family related to the M60-enhancin/PF03272 member of the MA clan as defined in the MEROPS database .
The M60-like/PF13402 domain is associated with host-adapted microorganisms
The 415 proteins with most significant hits for the M60-like/PF13402 profile were derived from 256 taxa across bacteria and eukaryotes (Table S5). The majority of these taxa are microorganisms, including both bacteria (Table 1) and eukaryotes (Table 2), known to be mutualists, commensals or pathogens of animal hosts. Indeed, a highly significant positive association between the M60-like/PF13402 domain distribution and animal host-adapted microorganisms was observed; with the strongest association observed for microbes able to thrive on vertebrate mucosa (Table 3). Only 17 microbial species were without any published evidence for being associated with animal hosts including one fungus and one marine choanoflagellate (Table 2) and two species of bacteria, Pseudomonas syringae and Bacillus mycoides, known as plant and fungal pathogens, respectively (Table S6). In addition to the microbial eukaryotes, proteins with M60-like/PF13402 domains were also encoded by 14 animal genomes (Table 2). Notably, the zincin motif is deteriorated in 36% (13 proteins among 36) of the M60-like/PF13402 containing proteins from vertebrates suggesting the loss of protease activity.
Domain architectures of M60-like/PF13402-containing proteins – a predominance of glycan binding domains
The majority of the 415 M60-like/PF13402-containing proteins identified in our analyses contain additional domains based on InterProScan and Pfam analyses (Table 4, Table S7). The majority of the associated Pfam domains (92%) are predicted to be involved in cell adhesion and/or glycan binding (Table 4), including CBMs that have functionally and structurally characterised entries. These are members of the CBM32 (Table S8), CBM5 and CBM12 (CBM5_12; Table S9) and CBM51 (Table S10) families respectively, as defined in the CAZy database  (Table 4). Members of CBM32 commonly target galactose configured animal and plant glycans and are found in a broad diversity of structural architectures , ; CBM5_12, typically found in chitinases , are thought to bind exclusively to chitin, a crystalline polysaccharide found in arthropods and other invertebrates, Fungi and some protists; whereas CBM51 family members are known to target galactose and blood group A/B-antigens , . Closer inspection of the microbial distribution of the M60-like/PF13402 containing proteins linked to either CBM32 and CBM5_12 sequences revealed a distinct correlation between the CBM family and the cognate organism's predicted niche. Proteins with the CBM32 were predominantly associated with microbes known to colonise vertebrate mucosal surfaces (Table S8), whereas entries with the CBM5_12 were correlated with a capacity to thrive in the digestive tract of invertebrates, with several species being able to thrive in both insects and mammals (Table S9). One protein with CBM5_12 was derived from the fungal pathogen Bacillus mycoides (Table S9). The genomes from three Bacillus cereus strains and two B. thuringiensis strains encoded two to three M60-like/PF13402 containing proteins with one possessing a CBM32 and the other a CBM5_12 (Table S11). Interestingly B. cereus strains are known to be able to infect mammals and/or insects . The 19 entries possessing CBM51 were all from the genus Clostridium (nine strains of C. perfringens, C. bartlettii DSM 16795 and Clostridium sp. 7_2_43FAA) (Table S10). A total of 16 CBM51 containing proteins also possessed a CBM32 (Table S10). In addition to known CBM families, the recently identified BACON domain  was identified among 22 Bacteroides proteins (Table S12). We also identified PA14-like  and CBM32-like domains in proteins from T. vaginalis using HMM profile-profile searches (Figure S4). Both the BACON and PA14 domains are thought to be involved in glycan binding , . The structural organisation of selected M60-like/PF13402 containing proteins is illustrated in Figure 4.
Selected proteins possessing the PF13402 domain from a diverse taxonomic spread and cellular organisation (Gram-positive and Gram-negative bacteria and eukaryotes) with and without CBM32, CBM5_12 and/or CBM51 are depicted to illustrate their structural diversity. The putative glycan-binding BACON domain found among some Bacteroides spp. proteins and divergent PA14-like and GBD-like domains found among T. vaginalis proteins are also illustrated (see Figure S4). Specie names with accession numbers, protein length and key structural features are shown. The cartoons are drawn to the same scale and all sequences are aligned to their N-terminus. See also Figure 6 for additional structural configurations. For the Clostridium and Bacillus sequences there is no evidence for a cell surface anchoring sequence features indicated by “?-anchor”.
The unexpected M60-like/PF13402-CBM combinations we observed led us to ask how commonly CBMs are linked to peptidases by searching the MEROPS database for annotated peptidases possessing CBM5_12, CBM32 or CBM51. Using HMMER searches with a conservative cut off value (e-value ≤1.00E-5) we identified 141 MEROPS entries positive for CBM32 and/or CBM5_12. None were positive for CBM51. A total of 110 proteins from 16 peptidase families were positive for the CBM32 domain (Table 5), whereas 31 proteins from nine peptidase families were positive for the CBM5_12 domain (Table 6), indicating that these CBMs are widely distributed across annotated peptidases. One MEROPS entry from Vibrio campbellii (MER166461, ZP_02194874) was positive for both CBM32 and CBM5_12 and is a member of the Zn-metallopeptidase family M64.
In contrast to the M60-like/PF13402 containing proteins the domain composition of M60-enhancin/PF03272 containing proteins was much less diverse (five additional domains) and shared with the former CBM5_12 and fibronectin type III domains (compare Table 4 and Table S13).
Microbial proteins with the M60-like/PF13402 domain possess features of extracellular proteins
Most of the 415 M60-like/PF13402-containing proteins (76%) were predicted to possess a signal peptide (SP), one or more transmembrane domains (TMDs) or a bacterial lipoprotein motif (Table S5). These features suggest M60-like/PF13402-containing proteins are extracytoplasmic, either secreted or anchored at the surface of microbial cells and could therefore act on extracellular targets. In contrast, no extracellular-associated sequence features were detected in the 14 M60-like/PF13402-containing proteins from animals or the M60-like/PF13402-containing proteins from plant pathogens (six Pseudomonas syringae strains) (Table S5).
Similarly, the majority of the 141 non-M60-like/PF13402 MEROPS entries (72%) positive for CBM32 and/or CBM5_12 were predicted to possess a SP and/or one or more (range 1–12) TMD suggesting these peptidases also target extracellular glycoproteins (Table S14).
Evidence for metal-dependent mucinase activity for one M60-like/PF13402-containing protein from a human gut mutualist
The predicted peptidase and glycan binding activities, cellular location and taxonomic distribution of a number of M60-like/PF13402 containing proteins suggest their target substrates are host glycoproteins such as mucins. In addition, a previous study has shown that genes encoding two of the three M60-like/PF13402 domain containing proteins with the gluzincin motif from the human gut bacterium Bacteroides thetaiotaomicron (BT3015/NP_811927.1 and BT4244/NP_813155.1 in Table S5) are up-regulated in response to host O-glycan mucins, both in vitro and in vivo .
To experimentally test the hypothesis that some M60-like/PF13402 containing proteins degrade mucins we expressed and purified full-length BT4244 and constructs lacking either its N-terminal putative carbohydrate binding domains BACON and CBM32 or C-terminal M60-like/PF13402 peptidase domain and assessed their ability to degrade mucins using a gel based assay (Figure 5). The data show that the full-length recombinant protein comprising the two putative N-terminal carbohydrate binding and the M60-like/PF13402 domains, or a C-terminal fragment composed of the predicted M60-like/PF13402 peptidase domain only, both generated significant clearing of the bovine submaxillary gland mucins from the gel, indicative of degradation of the mucin peptide backbone (Figure 5). In contrast, no mucin degradation was observed in the sample containing an N-terminal segment encompassing the BACON-CBM32 domains only (Figure 5). Addition of EDTA to the full-length enzyme and peptidase domain reactions inhibited the observed shift in banding pattern, as expected if a metal was required for a proteolytic activity (Figure 5). Furthermore a conservative mutation of the predicted catalytic glutamic acid residue (E575D of the zincin motif HEXXH) dramatically reduced the mucinase activity (Figure 5). These functional data clearly support the hypothesis derived from our bioinformatics analyses that the novel M60-like/PF13402 containing proteins represent host glycoprotein degrading Zn-metallopeptidases.
(A) The structural organisation of the B. thetaiotaomicron BT4244 protein (GI: 29349652; RefSeq: NP_813155.1). The entire wild type (W) protein (minus signal peptide) encoded by the BT4244 gene is contrasted to a mutant (M) (E575D) and two truncated constructs covering either the PF13402 domain (P) or the BACON-CBM32 domains (BC) only. (B) 5 µg of purified recombinant proteins were separated by SDS-PAGE and stained with Coomasie blue for detection. The predicted protein sizes in kDa are: M and W: 95.1, P: 67.3 and BC: 27.8. (C) Bovine submaxillary gland mucins were incubated with 5 µg of purified recombinant proteins W, M, P or BC in the absence (−) or presence (+) of 50 mM EDTA. Following incubation the mucin samples were separated on an agarose gel prior to detection on blots with wheat germ agglutinin lectin.
A comprehensive understanding of the molecular basis of mammalian host-microbe associations requires the knowledge of the specific families of microbial proteins involved in interactions with host mucosal surfaces. While many proteins from microbial pathogens involved in adhesion to host tissues or degradation of host proteins (virulence factors) have been identified there is a paucity of data on the molecular basis of non-pathogenic mutualistic interactions between host and microbes, despite the importance of our microbiota in maintaining human health.
Comparative genomics can provide useful insight into structural and taxonomic or habitat contextualisations generating valuable hypotheses for the functions of uncharacterised proteins. In this study we employed in silico investigations and an in vitro mucinase assay to generate data, which together strongly support the hypothesis that we identified a novel type of Zn-metallopeptidases important for animal host-microbes interactions ranging from mutualistic to pathogenic outcomes.
The M60-like/PF13402 domain define novel Zn-metallopeptidases
The presence of the extended consensus HEXXHX(8,28)E, suggested that the M60-like/PF13402 domain containing proteins could be considered as gluzincin metallopeptidases. Known bacterial and mammalian gluzincins have an insertion between the second H and second E, ranging from 24 to 64 amino acids . However, although none of the consensus sequences for known gluzincins  correspond to the consensus region found among the M60-like/PF13402-posessing proteins, a minority of the M60-like/PF13402 containing proteins (23%–94 among 415) were positive for an extended pattern characteristic of known Zn-metallopeptidases (PROSITE entry: PS00142). In addition, the profiles PF13402 and PF03272 were clearly related with proteins positive for both profiles and the two profiles significantly hitting each other in profile-profile comparisons. Enhancins (defining the M60-enhancin/PF03272 domain) are insect mucin degrading Zn-metallopeptidases (Clan MA, subclan MA(E), family M60) first described in baculoviruses where they act as virulence factors , . More recently a protein with an M60-enhancin/PF03272 domain from the insect pathogen B. thuringiensis (RefSeq accession: ZP_04115705.1 in Table S1) was also shown to degrade insect mucins defining a new bacterial virulence factor . In insects the peritrophic membrane can be considered as analogous to the mammalian intestinal mucus, but unlike vertebrate mucus, peritrophic membranes are chitin rich matrices . In vertebrates, mucus layers form an important physical surface barrier facing the external environment in the GIT, RT and UGT , . Both vertebrate and invertebrate protective barriers play important roles in defending the digestive tract from microbial infections as well as promoting digestion processes , . Therefore, in order for a microbe to colonise or break through these protective barriers, physical interactions and enzymes capable of processing these protective matrices, or cellular processes such as flagella mediated directed movements, are required , , . For some mammalian mutualists the mucus represent an important source of food, especially when there are little exogenous nutrients available, as recently demonstrated for the prominent distal gut bacterium B. thetaiotaomicron . Consistent with the M60-like/PF13402 domain being related to the enhancin Zn-metallopeptidases, we show here that recombinant versions of the lipoprotein BT4244 from the mutualist B. thetaiotaomicron displayed mucin degrading activity in vitro and this process was inhibited by the addition of EDTA, a metal chelator known to deactivate Zn-metallopeptidases  or by mutating the candidate catalytic glutamate residue of the zincins motif . In addition, a previous study showed that the expression level of the BT4244 gene increased significantly when B. thetaiotaomicron cells were exposed to mammalian O-glycan mucins in vitro and in vivo and that the gene belonged to a co-regulated polysaccharide utilisation locus (PUL#78 – spanning BT4240-50) . PUL#78 also contains two glycoside hydrolase (GH) genes, a GH2 (BT4241) and GH109 (BT4243), two families that display activities consistent with mucin degradation , , . Based on the results of our mucinase assay and gene content and expression data of the PUL#78 we speculate that BT4244 cleaves the peptide backbone of colonic mucins in vivo and contributes to host glycan foraging and niche adaptation by B. thetaiotaomicron. This represent the first peptidase identified for a bacterial mutualist that can target mucins , with proteolytic degradation of mucins thought to be important for the regulating the homeostasis and physicochemical properties of the colonic mucus and contributing to its degradation along with bacterial glycosidases , . This process benefits the energy balance of both the bacteria and the mammalian host as short fatty acids generated by bacterial mucin fermentation are metabolised by the colonic epithelial cells .
Bacterial M60-like/PF13402 domain containing proteins are encoded by the disposable pan-genome
Although proteins with an M60-like/PF13402 domain were encoded by the genomes of many different bacterial species, not all sequenced strains of a particular species (or species of a given genus) contained a copy of this gene suggesting it is part of the disposable pan-genome that contributes to specific niche adaptation, including pathogenesis , . For example, several animal bacterial pathogens such as Vibrio spp. (range: 0–2 proteins per genome), including the important human pathogen V. cholera (Table S15), contain an M60-like/PF13402 domain gene, annotated as lipoprotein AcfD, whereas non-virulent strains of V. cholera do not . The V. cholera AcfD gene is part of four genes defined as accessory colonisation factors (AcfA-D) required for efficient human intestinal colonisation , . Interestingly there is evidence that the V. cholera AcfB-C proteins mediate host-specific chemotaxis towards mammalian mucus . In line with the mucinase data for the BT4244 protein, we hypothesise that the AcfD lipoprotein is degrading human mucins, possibly in concert with an additional secreted Zn-metallopeptidase TagA , contributing to the pathogen's capacity to penetrate the mucus layer, a trait of virulent bacterial strains . In fresh water and other aquatic environments the AcfA-D proteins could also contribute to the colonisation of fish mucosal surfaces, as Vibrio cholera and other Vibrio species are often associated with these vertebrates , and some species/strains can be pathogenic to both human and fish .
Similar to Vibrio spp., not all sequenced genomes from Bacillus spp. (range: 0–5), Bacteroides spp. (range: 0–16 proteins), Clostridium spp. (range: 0–4 proteins), Escherichia spp. (range: 0–1 proteins) and Yersinia spp. (range: 0–1 proteins) appear to encode proteins with the M60-like/PF13402 domain (Table S15). Among 32 Escherichia spp. possessing proteins with the M60-like/PF13402 domain 19 were defined as pathogenic strains that cause infection in various mucosal niches including GIT, UGT and RT of both mammals and birds  (Table S15). The other 13 E. coli strains encoding M60-like/PF13402 domains are defined as non-pathogenic members of the intestinal microbiota or one lab strain (Table S15). For the remaining 32 Escherichia species or strains there was no evidence for genes encoding any M60-like/PF13402 containing proteins (Table S15). These taxa included in particular all of the E. coli O157 strains, which are well known zoonotic pathogens that can lead to severe human illnesses . Similarly, different Bacteroides spp. are thought to be adapted to different niches or food sources within the mammalian GIT with only a few species known to be able to graze host derived mucin glycans , . The patchy distribution of M60-like/PF13402 containing proteins among Bacteroides species (Table S15), suggests the presence of this gene could contribute to niche specialisation by providing mucin degrading capability, a view supported by the mucinase activity displayed by BT4244 from B. thetaiotaomicron, a known mucin degrader.
Pathogenic microbial eukaryotes also encode M60-like/PF13402 containing proteins
In addition to bacterial pathogens M60-like/PF13402 domains were also identified among proteins from pathogenic microbial eukaryotes including the extracellular parasites T. vaginalis and E. histolytica and the intracellular parasites Cryptosporidium parvum and C. muris. Entamoeba and Cryptosporidium species target the digestive tract of humans and other vertebrates  while T. vaginalis is a human sexually transmitted pathogen affecting both the male and female UGT . The immuno-dominant surface antigen from E. histolytica is known as a GPI-anchored protein against which most patients with liver abscess are known to generate an immunoglobulin response . Proteomics data indicated that this E. histolytica surface protein can be found in the parasite phagosomes and uropodes ,  and it was suggested that it might be involved in phagocytosing apoptotic human cells . The presence of a galactose-binding domain like sequence (GBD, related to CBM32) suggests that this domain could mediate binding to glycan chains in secreted and cell surface human glycoproteins such as mucins. The M60-like/PF13402 domain could be driving proteolysis of human glycoproteins representing a possible source of nutrients for the parasite and/or contribute to processing human proteins involved in innate and adaptive immune defences for the benefit of the microorganism. A related protein is also encoded by the genome of the commensal E. dispar . As homologues exist in both a pathogen and a commensal, the M60-like/PF13402 containing protein might therefore not represent a virulence factor in E. histolytica as such but could contribute to the amoeba fitness on mucosal surfaces. As for the E. histolytica surface protein there is evidence for surface expression of two T. vaginalis M60-like/PF13402 containing proteins (GI:123975108 XP_001330197.1 and GI:123449825 XP_001313628.1 in Table S1) . In contrast to the E. histolytica GPI-anchored proteins these T. vaginalis proteins possess a TMD. As T. vaginalis is also phagocytic , and mediates endocytosis , the M60-like/PF13402 containing proteins could be involved in nutrient binding, uptake and processing through these internalisation routes.
The specificity of the M60-like proteins is driven by their associated carbohydrate-binding modules
A recurrent structural feature among many of the 415 identified M60-like/PF13402 containing proteins was the co-occurrence of CBMs and other glycan binding domains. Additional potential glycan-binding domains included the BACON (identified among Bacteroides spp.)  and PA14-like domains ,  (identified among Trichomonas and Entamoeba). A total of 103 M60-like/PF13402 containing proteins possessed CBM32, CBM5_12 and/or CBM51 among 66 microbial species or strains that are known in their majority to colonise animal hosts. Some of these species are well known members of the human GIT microbiota including Bacteroides thetaiotaomicron, B. fragilis and B. caccae  or human pathogens including Clostridium difficile . Others are thought to be both “free-living” (they can be isolated from the environment) and can be pathogenic when in contact with mammalian mucosal surfaces and/or the digestive tracts of insects. These species include Paenibacillus larvae , Yersinia enterocolitica , Clostridium perfringens , C. botulinum  and Bacillus cereus and B. thuringiensis . The M60-like/PF13402-CBM32 proteins are from microbial species able to colonise mammalian mucosal surfaces including the GIT and the UGT ranging from mutualists to pathogens. CBM32s are known as components of enzymes involved in the processing of complex galactose configured glycans from predominantly animal sources . The B. thetaiotaomicron M60-like/PF13402 containing protein BT4244 possesses a CBM32 and a BACON domain. These putative glycan-binding domains could contribute to mucin recognition at the surface of the bacterium by targeting the Gal and GalNAc containing O-glycan side chains and presenting the polypeptide to the M60-like/PF13402 Zn-metallopeptidase domain. The presence in many M60-like proteins of multiple CBMs from different families and/or in combination with other candidate binding domains (e.g. BACON-CBM32, CBM32-CBM51, PA14-like-GBD and CBM32-Fibronectin type III domain) suggests multivalent recognition of a complex ligand driving high specificity and avidity, consistent with targeting of host glycoproteins. CBMs from family 5 and 12 target chitin and were detected as components of M60-like/PF13402-containing proteins from insect pathogens such as Paenibacillus larvae and Bacillus thuringiensis as well as the fungal pathogen Bacillus mycoides. , . The presence of a C-terminal CBM5_12 in the M60-like/PF13402 containing proteins from insect pathogens suggests that the target of these glycan binding domains is the chitin-rich peritrophic membrane in the insect gut. Attachment via the CBM5_12 could facilitate degradation of the protein component through the activity of the M60-like/PF13402 peptidase domain. Intriguingly, P. larvae is a causative agent for American foulbrood disease of honeybee larvae with the spores germinating in the gut prior to causing disease  and metallopeptidases were reported to be involved in P. larvae pathogenicity . Thus the M60-like/PF13402-CBM5_12 proteins represent an attractive candidate virulence factor similar to the related baculovirus ,  and bacterial enhancin Zn-metallopeptidases . Most taxa encoded proteins combining the M60-like/PF13402 domain with either CBM32 or CBM5_12 but five Bacillus spp. (three strains of B. cereus and two of B. thuringiensis) encoded two to three proteins, each with one of these two domains combination (Table S11). Strains of B. cereus are known to cause disease in both mammals and insects and it would be interesting to test if these M60-like/PF13402 protein variants are differentially expressed in insect (proteins with CBM5_12) versus mammals (proteins with CBM32) hosts, possibly contributing to this B. cereus host promiscuity .
The association of CBMs with the M60-like/PF13402 peptidase domains and analysis of the MEROPS database clearly indicate a novel functional context for CBMs, which are classically associated with carbohydrate active enzymes , , . In the context of host-microbe interactions the presence of CBMs linked to extracellular peptidases likely contributes to the ability of microbes to attach to, degrade and metabolise host glycoproteins including the abundant mucins. Interestingly, while the CBM domains are found at either the C-terminal or N-terminal side of the M60-like/PF13402 domain, the relative position of the protease domain when attached to the surface is often conserved, suggesting this configuration is functionally important (Figure 4). However some M60-like/PF13402 domain containing proteins, such as several entries from Clostridium spp. (Figures 4 and 5), possess CBMs on both sides of the protease domain indicating a variety of configurations is possible. The combination of protease-CBM5_12 domain architecture is also observed in 13 enhancins from some Clostridium and Bacillus taxa (Table S13).
A complex evolutionary history for the M60-like/PF13402 domain
The broad and patchy taxonomic distributions of genes encoding proteins with the M60-like/PF13402 domain also suggest that gene sharing through LGT took place between distantly related taxa, including between bacteria and eukaryotes. Phylogenetic analyses of a representative selection of M60-like/PF13402 domain sequences strongly supports this hypothesis with in particular robust cases of gene sharing between the microbial eukaryotes Trichomonas and Entamoeba and the bacteria Mycoplasma and Clostridium respectively (Figure 6). Notably the majority of Clostridium species form a distinct clan (as defined in ), including C. perfringens, clearly indicating alternative origins for the M60-like/PF13402 domain among this genus. The strong bias for M60-like/PF13402 domains among microbial taxa able to colonise animal hosts, suggests that an important fraction, if not most, of these LGTs took place in the context of animal hosts where microorganisms density can be extremely high, as in the human distal colon, and where LGT is known to play important roles in shaping the gene complement of the microbial community . A striking case involves four independent LGT events in the mucin degrading Verrucomicrobia, Akkermansia muciniphila, three from the distantly related Bacteroidetes donors (clan B in Figure 6) that share the same niche as A. muciniphila and a fourth LGT from an undefined source (within clan A in Figure 6). The potential initial source gene(s) for the microbial species is difficult to establish with the current taxonomic sampling and phylogenetic resolution. It could be one or more eukaryotes as a broad range of these encode M60-like/PF13402 containing proteins, indeed several bacterial sequences are part of clan A where the majority of eukaryotes, including animals sequences, are clustering (Figure 6). An animal to bacteria gene transfer was recently suggested for genes encoding two other distinct types of Zn-metallopeptidases identified in the human associated Bacteroidetes species Bacteroides fragilis  and Tannerella forsythia . In the case of the two fungal M60-like/PF13402 containing proteins the phylogeny supports an LGT event from a bacterial donor to the Aspergillus lineage (only one fungal species is shown in Figure 6), possibly reflecting the adaptations of these Fungi to thrive on decaying plant and animal material. The identified LGT of genes encoding M60-like/PF13402 Zn-metallopeptidases involving mutualists, commensals and pathogens further highlights the overlap between the gene complements of microorganisms generating contrasting symbiotic outcomes with their animal hosts , , . Interestingly a restricted set of taxa (two Fungi and 46 Firmicutes, Table S2), which represent a subset of the taxa encoding M60-like/PF13402 containing proteins, encoded one (or more) protein possessing the M60-like/PF13402 domain and another protein possessing the M60-enhancin/PF03272 domain with the bacteria taxa all capable to infect insects or other invertebrates (Table S2). Analysing the relationship of protein sequence members of these two protein families with CLANS (see Methods section) showed that M60-enhancin/PF03272 and M60-like/PF13402 proteins clustered in different groups further supporting our finding that the M60-like/PF13402 domain form a novel protein family (Figure S6). Interestingly, the CLANS result also suggests that the M60-enhancin/PF03272 and M60-like/PF13402 containing proteins from Bacillus species are more similar to each others than to other related proteins from other organisms (Figure S6). This suggests that the PF03272 domain was derived from a gene duplication of a “primordial” PF13402 domain. One possible scenario underlying the functional relevance of such a gene duplication event, followed by important differentiation of the paralogues, could be a response to the selection pressure induced by insect host peptidase inhibitors on bacterial peptidases representing virulence factors . A phylogenetic analysis of the same dataset used to investigate M60-like/PF13402 domain relationships (Figure 6) complemented with selected M60-enhancin/PF03272 sequences could neither reject or provide support for this hypothesis due to lack of resolution as indicated by poor bootstrap support values (Figure S7). These evolutionary considerations along with the identified taxonomic distribution of M60-enhancin/PF03272 domains (Table S13) also suggest that the baculoviruses obtained their enhancin genes from a bacterium sharing the same insect host and subsequently diverged dramatically from their bacterial enhancin homologues.
The shown maximum likelihood tree (Log likelihood: −18778.5) was generated as described in the Methods section using an alignment of 57 sequences and 175 residues drawn from an M60-like/PF13402 domain alignment, providing an evolutionary framework for the gene segments encoding these domains. For each sequence the corresponding species name is indicated along with the NCBI GI number and high-ranking taxa - squares are for eukaryotes: black-Metazoa, blue-microbial eukaryotes; circles are for Bacteria: yellow-Bacteroidetes, orange-Firmicutes, green-Proteobacteria (all gamma-proteobacteria), pink-Verrucomicrobia, violet-Tenericutes, cyan-Actinobacteria. Bootstrap support values (≥60%) are indicated below the branches. The scale bar represents the estimated number of changes per site. The domain organisation of the corresponding complete proteins is shown on the right hand side (see also Figure 4 for additional domain configurations). The sequence corresponding to the BT4244 protein used for the mucinase assay (Figure 5) is indicated by a *. The two major clans supported by a bootstrap value of 76% are indicated as clan A and B.
In summary the novel type of Zn-metallopeptidase we identified across evolutionarily distantly related bacteria and microbial eukaryotes, that are found on a broad range of animal hosts, further illustrates the importance of peptidases in host-microbe interactions. This discovery will be of benefit in guiding investigations of the molecular basis of host-microbe interactions in the context of both mutualistic and pathogenic outcomes involving bacteria and microbial eukaryotes in vertebrates and invertebrates. It will be of particular interest to identify the range, and properties, of the host proteins that the novel microbial peptidases can target. The possibility of peptidases representing functional partners of other hydrolysing enzymes, such as GH (indicated by the Bacteroides PULs encoding both activities), to process mammalian mucins is of particular interest for the study of the role of mutualists in the homeostasis of our mucosal surfaces. The novel yet common domain combinations we identified involving peptidases and CBMs offer interesting new insights into substrate recognition by peptidases, which in turn could provide exciting opportunities to engineer peptidases targeted to specific glycoproteins for both biomedical and industrial applications.
Sequence similarity search and HMM profiles generation
PSI-Blast was used at the NCBI Blast server  (search date: 20th January 2010) to identify related proteins to the T. vaginalis entries annotated as immuno-dominant antigen-like protein using as query the protein GI:123449825 XP_001313628 (positions 1–500). An initial PSI-Blast search with the entire GI:123449825 XP_001313628 sequence identifying the first ∼500 residues as being shared across a broad range of taxa (Figure S1), hence we used positions 1–500 to perform a most specific PSI-Blast profile search. It was performed with a standard initial BlastP search followed by one iteration step for the profile-based search. A multi-sequence alignment with the sequences derived from the PSI-Blast hit list was downloaded using the alignment retrieval option. This alignment was used to generate a profile using HMMER  defining the newly identified domain M60-like/PF13402. The following five steps were performed to generate our initial alignment: (1) The segment of the alignment corresponding to positions 193–378 (inclusive) of the T. vaginalis sequence XP_001313628 (the query sequence used for the aforementioned PSI-Blast) was identified as the most conserved across the aligned sequences by visual inspection and was retrieved using the masking option of SEAVIEW4.0 . (2) Sequences with high level of identity (≥80%), considered as redundant, were removed leaving 92 sequences (the shortest entries across the aligned segment were removed). (3) These 92 sequences were re-aligned with MUSCLE using default settings within SEAVIEW4.0. (4) To minimise alignment length and optimise hypothesis of site homology indels larger than 2 residues (that complicate alignments) and present in less than 50% of the sequences were deleted. (5) Steps 3–4 were repeated and reduced the alignment to 208 aligned positions and 27 sequences (Figure S2). HMMER  was then used to generate and calibrate an HMM profile for the M60-like domain with the ‘hmmbulid’ commands with default settings. Following submission of the M60-like domain alignment to Pfam and Pfam curation, M60-like/PF13402 seed alignment and profile were generated and made available to us (Figure S3).
The HMM profile of the CMB32 domain (PF00754), CBM5_12 (PF02839), CBM51 (PF08305) and BACON (PF13004) were retrieved from the Pfam database.
Detection of known protein structural features
SignalP 3.0 , TMHMM 2.0  and PHOBIUS (that combines SP and TMD detections) , were employed to detection extracellular targeting N-terminal SP and TMD. Other characterised protein domains/motifs were searched using InterProScan version 4.3 . The default parameters were used for every tool and where relevant the appropriate taxonomic option selected.
Protein profile HMM searches
HMMER 3.0 was used to search M60-like/PF13402 HMM profile against proteins in RefSeq database (data obtained on 21st January 2010, containing 9,662,677 protein sequences). The HMM profiles for specific domains (M60-like/PF13402, CBM32, CBM5_12, CBM51 and BACON) were used to search (i) the annotated peptidase library retrieved from the MEROPS database (release 9.1, data obtained 2nd May 2010) and (ii) the 415 entries positive for the M60-like/PF13402 domain. The ‘hmmsearch’ command was used to search a given profile against the different protein sets.
Protein profile-profile searches
To perform HMM-HMM profile comparison between the M60-like/PF13402 profile against other known profiles, the HHPred server running with HHSearch version 184.108.40.206  was used to search all the available databases. HHPred was also used to identify divergent versions of PA14 and CBM32 domains from T. vaginalis M60-like/PF13402 containing proteins (Figure S4).
Association of the M60-like/PF13402 domain to microbial habitat
To investigate the significance of the association between the presence of M60-like/PF13402 domain (genotype) and host associated or mucosal-related lifestyles (phenotype/trait) of microorganisms, we calculated the probability of the co-occurrence between the genotypic and phenotypic features according to hypergeometric distribution function :Of the total number of microorganisms with completed genome sequences in the RefSeq database at the time, 455 (N) have habitat information that can be used to determine whether an organism is able to thrive on or penetrate through vertebrate mucosa surfaces (Table S16). The number of these microorganism with an M60-like/PF13402 domain annotated was 55 (n). The number of microorganisms known to thrive on or infect host through mucosal surfaces was 197 (M). Of these 197 taxa, 43 (m) taxa possess at least one M60-like/PF13402 domain. As a result, the probability (p-value) of observing the association of the M60-like/PF13402 domain and the ability of microbe to thrive on mucosal surface can be calculated.
To determine the type of this association (either positive or negative), the mean value (μ) of hypergeometric distribution was used :Where n, M, N and m can be referred from the previous equation, for m>μ corresponding to positive associations and for m<μ corresponding to negative associations.
Protein family visualisation with CLANS
We used CLANS , a graph-based protein sequence similarity visualisation software, to investigate relationships between M60-like/PF13402 and M60-enhancins/PF03272 containing proteins. The software clusters set of protein sequences based on their BlastP p-values of the high-scoring segment pair alignments. All 693 sequences identified with HMMER searches using the M60-like/PF13402 and M60-enhancins/PF03272 profiles (all entries are listed in Table S5) with the default settings, were included into the CLANS analysis. Nodes or entries that have no similarity to other entries based on BlastP cutoff e-value 1.00E-5 were removed from the graph.
Recombinant protein expression of BT4244 and in vitro mucinase assay
The gene encoding full length BT4244 protein lacking its N-terminal lipoprotein signal sequence was amplified from B. thetaiotaomicron VPI-5482 genomic DNA and cloned into pRSETA (Invitrogen) on BamHI/EcoRI generating the construct pRSETA-BT4244. Truncated constructs were generated that encoded either the C-terminal M60-like/PF13402 peptidase domain only or the N-terminal BACON and CBM32 domains only (Figure 4). Site-directed mutagenesis of the BT4244 catalytic glutamic residue (conservative mutation E575D, e.g. ) was carried out using the QuikChange protocol (Stratagene) according to the manufacturer's instructions with the construct pRSETA-BT4244 as template DNA. All constructs and the E575D mutant were confirmed by sequencing. The primers used for PCR amplifications and the mutagenesis are listed in Table S17. Recombinant proteins with an N-terminal His-tag were expressed in BL21 (Novagen) and purified in a single step by metal affinity chromatography using Talon resin (Clontech) as described previously . Purified proteins were dialysed overnight against phosphate buffered saline pH 7.3 (OXOID, Dulbeco ‘A’ PBS) prior to the mucinase assay.
Mucins from bovine submaxillary glands Type I-S (Sigma, UK) were used as substrate for the mucinase assays in the absence or presence of 50 mM EDTA (e.g. ). Following incubations at 37°C for 48 hours the mucins were run on a 1% (w/v) agarose gel (SeaKem agarose, Melford ltd., UK)+0.1% (w/v) SDS in a Biorad minigel system and then transferred onto PVDF membranes by blotting. Biotin conjugated lectin from Triticum vulgaris (wheat germ agglutinin lyophilized powder, Sigma, UK) in combination with ExtrAvidin®–Peroxidase buffered aqueous solution (Sigma, UK) was used to detect mucin on blots.
A broad protein alignment of the M60-like/PF13402 domain was generated using the PF13402 seed alignment as reference using the “Profile alignment” function from CLUSTAL within SEAVIEW . A subset of 57 sequences was eventually selected to reduce the complexity of the dataset and optimising sequence and taxonomic diversity. Maximum likelihood trees were computed with PhyML from within SEAVIEW with the LG model and a gamma shape parameter to correct for site rate heterogeneity (4 discrete rates) and using both NNI and SPR for the tree search operations. 100 bootstrap pseudo replicates were generated to calculate branch support values. The tool iTOL  was used to map on the inferred phylogenetic tree the structural organisation of the analysed proteins. An additional phylogenetic analysis was performed including selected enhancin proteins sequences (M60-enhancin/PF03272 domain) (Figure S5, Figure S7)
PSI-Blast output figure obtained from the NCBI Blast server. The query sequence was from Trichomonas vaginalis (GI:123449825, XP_001313628, the complete sequence) and two iterations (e-value ≤1.00E-05). File format: tif.
Initial protein alignment corresponding to the new M60-like domain, 27 sequences with 206 aligned sites. The specie names are abbreviated with the first three letters of the genus and species names along the corresponding protein sequence GenBank GI number. The query sequence used for the PSI-Blast is shown on the top with the RefSeq accession number. Format: text file with sequences in fasta format to be open in a sequence alignment editor such as SEAVIEW.
Pfam seed alignment for the new M60-like domain, accession PF13402, consisting of 68 sequences with 387 aligned sites. The UniProt accession number for each sequence is provided along with the position of the start and end of the aligned segments. Format: text file with sequences in fasta format to be open in a sequence alignment editor such as SEAVIEW.
Figure illustrating the PA14-like and Galactose binding domain-like (GBD) domain identified in Trichomonas vaginalis M60-like/PF13402 containing proteins.
M60-like/PF13402 alignment of 57 PF13402 and 4 PF03272 sequences and 175 sites used to infer the phylogeny shown in Figure 6 (57 PF13402 sequences only) or Figure S7 (all 61 sequences). Format: text file with sequences in fasta format to be open in a sequence alignment editor such as SEAVIEW.
Two-dimensional graph layout from the CLANS clustering results obtained from the full-length sequences for the M60-enhancin/PF03272 or M60-like/PF13402 containing proteins. Each protein sequence is shown by a black dot. Lines connecting dots indicate sequence similarity generated from BlastP: red lines edges represent sequence similarity with Blast e-value <1E-100, whereas grey lines represent Blast e-value from 1E-5 to 1E-100. Entries that have more significant hits with the M60-enhancin/PF03272 profile are encircled in green. All entries outside the green circle have more significant hit on the M60-like/PF13402 profile. Selected clusters are labeled with their taxonomic composition. Notably the two families of Bacillus entries are clustering at the vicinity of each other. Format: tif.
Protein maximum likelihood bootstrap consensus tree for selected M60-like/PF13402 and M60-enhancin/PF03272 domains. The shown maximum likelihood tree (Log likelihood: −19083.4) was generated as described in the Methods section using an alignment of 57 sequences and 175 residues drawn from an M60-like/PF13402 (see Figure 6) domain alignment complemented with four M60-enhancin/PF03272 sequences (boxed), providing an the evolutionary framework for the gene segments encoding these domains. For each sequence the corresponding abbreviated species name is indicated along with the NCBI GI number. Format: tif.
PSI-Blast Taxonomic report derived from the NCBI Blast server. The query sequence was from Trichomonas vaginalis (GI:123449825, XP_001313628, residues 1–500), 2 iterations (e-value ≤1.00E-04). After seven iterations no new sequences were recovered and these additional entries were all recovered by the HMMER searches using PF13402, PF03272 and PTHR15730 profiles, see Table S5 for the complete list of entries. Format: html file to be opened with a web browser providing links to original RefSeq entries at the NCBI.
Table listing all 523 RefSeq protein entries positive for the PF13402 profile (HMMER search, e-value ≤1.00E-05) contrasting the PSI-Blast values with HMMER scores for the PF13402 and PF03272 profiles. The sequences for the gluzincin and zincin motif are also shown. Format: Excel file with five worksheets.
Table listing all 38 MEROPS entries positive for the PF13402 profile (e-value ≤1.00E-05).
HHPred search hit list performed with the PF13402 seed alignment (Figure S3) using the global alignment mode and against all available databases. Format: html file to be opened with a web browser.
Table listing: (i) all sequence entries identified using HMMER searches with the M60-enhancin/PF03272, M60-like/PF13402 or PTHR15730 profiles using default settings. (ii) The 415 proteins most significant for the PF13402 profile (HMMER search) with taxa names encoding them, sequence and position of the gluzincin and zincin motifs (when present) and position of the M60-like/PF13402 domain. Output for analyses by PHOBIUS, LIPOP and TMHMM are also listed (iii) taxa counts for the 415 entries most significant for the PF13402 profile. Excel file with three worksheets.
Table listing all the bacterial taxa encoding proteins with the M60-like/PF13402 domain without evidence for being associated with animal hosts.
Table listing all InterProScan hits for the 415 M60-like/PF13402 positive proteins (non-redundant list as InterProScan considers only one protein among identical entries).
Table listing M60-like/PF13402-CBM32 entries. Separate worksheets list sequence counts or taxa counts along with habitat information for each species/strains. Format: Excel file with two worksheets.
Table listing M60-like/PF13402-CBM5_12 entries. Separate worksheets list sequence counts or taxa counts along with habitat information for each species/strains. Format: Excel file with two worksheets.
Table listing M60-like/PF13402-CBM51 entries. Separate worksheets list sequence counts, taxa counts along with habitat information for each species/strains. Entries dually positive for CBM51 and CBM32 are also listed. Format: Excel file with two worksheets.
Table listing the five Bacillus spp./strains encoding proteins with M60-like/PF13402-CBM32 and M60-like/PF13402-CBM5_12 domain combinations.
Table listing the 22 M60-like/PF13402-BACON entries.
Table listing the 176 proteins that have most significant hits with the M60-enhancin/PF03272 profile. The Pfam domain composition and the taxonomic origin of each sequence are also indicated. Format: Excel file with three worksheets.
PHOBIUS analysis for 141 MEROPS entries possessing CBM32 or CBM5_12.
Table listing species and strains of selected bacterial genus that were present in the RefSeq database at the time of our analyses and the corresponding number of M60-like/PF13402 positive proteins: Bacillus, Bacteroides, Clostridium, Escherichia, Vibrio and Yersinia. Each genus is listed in a separate worksheet. Format: Excel file with six worksheets.
Table listing all taxa and their habitat (when known) considered for the PF13402 domain-habitat association analysis using a hypergeometric test.
Table listing all primers used to PCR clone the three different segments of the BT4244 gene for their expression as recombinant proteins in E. coli. Primers used to generate the E575D mutant are also listed. Format: Excel file.
The authors thank Alex Bateman from the Pfam database (Wellcome Trust Sanger Institute, Cambridge, UK) for processing our M60-like/PF13402 domain submission.
Conceived and designed the experiments: SN DN DB RH. Performed the experiments: SN DN RH. Analyzed the data: SN DN AW DB RH. Contributed reagents/materials/analysis tools: SN DN AW DB RH. Wrote the paper: SN DB RH.
- 1. Turnbaugh PJ, Ley RE, Hamady M, Fraser-Liggett CM, Knight R, et al. (2007) The human microbiome project. Nature 449: 804–810.
- 2. Sekirov I, Russell SL, Antunes LC, Finlay BB (2010) Gut microbiota in health and disease. Physiol Rev 90: 859–904.
- 3. Ehrlich GD, Hiller NL, Hu FZ (2008) What makes pathogens pathogenic. Genome Biol 9: 225.
- 4. Lebeer S, Vanderleyden J, De Keersmaecker SC (2010) Host interactions of probiotic bacterial surface molecules: comparison with commensals and pathogens. Nat Rev Microbiol 8: 171–184.
- 5. Tseng TT, Tyler BM, Setubal JC (2009) Protein secretion systems in bacterial-host associations, and their description in the Gene Ontology. BMC Microbiol 9: Suppl 1S2.
- 6. Pallen MJ, Wren BW (2007) Bacterial pathogenomics. Nature 449: 835–842.
- 7. Linden SK, Sutton P, Karlsson NG, Korolik V, McGuckin MA (2008) Mucins in the mucosal barrier to infection. Mucosal Immunol 1: 183–197.
- 8. Cone RA (2005) Mucus. In: Mestecky J, Lamm ME, McGhee JR, Bienenstock J, Mayer L, et al., editors. Mucosal Immunology. 3rd ed. Burlington: Elsevier. pp. 49–72.
- 9. Johansson ME, Larsson JM, Hansson GC (2011) The two mucus layers of colon are organized by the MUC2 mucin, whereas the outer layer is a legislator of host-microbial interactions. Proceedings of the National Academy of Sciences of the United States of America 108: Suppl 14659–4665.
- 10. Wiggins R, Hicks SJ, Soothill PW, Millar MR, Corfield AP (2001) Mucinases and sialidases: their role in the pathogenesis of sexually transmitted infections in the female genital tract. Sex Transm Infect 77: 402–408.
- 11. Korbel JO, Doerks T, Jensen LJ, Perez-Iratxeta C, Kaczanowski S, et al. (2005) Systematic association of genes to phenotypes by genome and literature mining. PLoS Biol 3: e134.
- 12. Liu Y, Li J, Sam L, Goh CS, Gerstein M, et al. (2006) An integrative genomic approach to uncover molecular mechanisms of prokaryotic traits. PLoS Comput Biol 2: e159.
- 13. Read TD, Myers GS, Brunham RC, Nelson WC, Paulsen IT, et al. (2003) Genome sequence of Chlamydophila caviae (Chlamydia psittaci GPIC): examining the role of niche-specific genes in the evolution of the Chlamydiaceae. Nucleic Acids Research 31: 2134–2147.
- 14. O'Sullivan O, O'Callaghan J, Sangrador-Vegas A, McAuliffe O, Slattery L, et al. (2009) Comparative genomics of lactic acid bacteria reveals a niche-specific gene set. BMC Microbiology 9: 50.
- 15. Liolios K, Chen IM, Mavromatis K, Tavernarakis N, Hugenholtz P, et al. (2010) The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Res 38: D346–354.
- 16. Medini D, Serruto D, Parkhill J, Relman DA, Donati C, et al. (2008) Microbiology in the post-genomic era. Nat Rev Microbiol 6: 419–430.
- 17. Ellrott K, Jaroszewski L, Li W, Wooley JC, Godzik A (2010) Expansion of the protein repertoire in newly explored environments: human gut microbiome specific protein families. PLoS Comput Biol 6: e1000798.
- 18. Clark CG, Alsmark UC, Tazreiter M, Saito-Nakano Y, Ali V, et al. (2007) Structure and content of the Entamoeba histolytica genome. Adv Parasitol 65: 51–190.
- 19. Loftus B, Anderson I, Davies R, Alsmark UC, Samuelson J, et al. (2005) The genome of the protist parasite Entamoeba histolytica. Nature 433: 865–868.
- 20. Carlton JM, Hirt RP, Silva JC, Delcher AL, Schatz M, et al. (2007) Draft genome sequence of the sexually transmitted pathogen Trichomonas vaginalis. Science 315: 207–212.
- 21. Carlton JM, Malik SB, Sullivan SA, Sicheritz-Ponten T, Tang P, et al. (2010) The genome of Trichomonas vaginalis. In: Clark CG, Johnson PJ, Adam RD, editors. Anaerobic Parasitic Protozoa: Genomics and Molecular Biology: Caister Academic Press. pp. 45–77.
- 22. Alsmark UC, Sicheritz-Ponten T, Foster PG, Hirt RP, Embley TM (2009) Horizontal gene transfer in eukaryotic parasites: a case study of Entamoeba histolytica and Trichomonas vaginalis. Methods Mol Biol 532: 489–500.
- 23. Hirt RP, Noel CJ, Sicheritz-Ponten T, Tachezy J, Fiori PL (2007) Trichomonas vaginalis surface proteins: a view from the genome. Trends Parasitol 23: 540–547.
- 24. Noel CJ, Diaz N, Sicheritz-Ponten T, Safarikova L, Tachezy J, et al. (2010) Trichomonas vaginalis vast BspA-like gene family: evidence for functional diversity from structural organisation and transcriptomics. BMC Genomics 11: 99.
- 25. de Miguel N, Lustig G, Twu O, Chattopadhyay A, Wohlschlegel JA, et al. (2010) Proteome analysis of the surface of Trichomonas vaginalis reveals novel proteins and strain-dependent differential expression. Mol Cell Proteomics 9: 1554–1566.
- 26. Edman U, Meraz MA, Rausser S, Agabian N (1990) Characterization of an immuno-dominant variable surface antigen from pathogenic and nonpathogenic Entamoeba histolytica. Journal of Experimental Medicine.
- 27. Marquay Markiewicz J, Syan S, Hon CC, Weber C, Faust D, et al. (2011) A Proteomic and Cellular Analysis of Uropods in the Pathogen Entamoeba histolytica. PLoS Negl Trop Dis 5: e1002.
- 28. Marion S, Guillén N (2006) Genomic and proteomic approaches highlight phagocytosis of living and apoptotic human cells by the parasite Entamoeba histolytica. International Journal for Parasitology 36: 131–139.
- 29. Okada M, Huston CD, Mann BJ, Petri WA Jr, Kita K, et al. (2005) Proteomic analysis of phagocytosis in the enteric protozoan parasite Entamoeba histolytica. Eukaryot Cell 4: 827–831.
- 30. Boraston AB, Bolam DN, Gilbert HJ, Davies GJ (2004) Carbohydrate-binding modules: fine-tuning polysaccharide recognition. Biochem J 382: 769–781.
- 31. Guillen D, Sanchez S, Rodriguez-Sanoja R (2010) Carbohydrate-binding domains: multiplicity of biological roles. Appl Microbiol Biotechnol 85: 1241–1249.
- 32. Cantarel BL, Coutinho PM, Rancurel C, Bernard T, Lombard V, et al. (2009) The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics. Nucleic Acids Res 37: D233–238.
- 33. Sasaki Y, Ishikawa J, Yamashita A, Oshima K, Kenri T, et al. (2002) The complete genomic sequence of Mycoplasma penetrans, an intracellular bacterial pathogen in humans. Nucleic Acids Res 30: 5293–5300.
- 34. Brynestad S, Granum PE (2002) Clostridium perfringens and foodborne infections. Int J Food Microbiol 74: 195–202.
- 35. Hunter S, Apweiler R, Attwood TK, Bairoch A, Bateman A, et al. (2009) InterPro: the integrative protein signature database. Nucleic Acids Res 37: D211–215.
- 36. Hooper NM (1994) Families of zinc metalloproteases. FEBS letters 354: 1–6.
- 37. Lepore LS, Roelvink PR, Granados RR (1996) Enhancin, the granulosis virus protein that facilitates nucleopolyhedrovirus (NPV) infections, is a metalloprotease. J Invertebr Pathol 68: 131–140.
- 38. Wang P, Granados RR (1997) An intestinal mucin is the target substrate for a baculovirus enhancin. Proc Natl Acad Sci USA 94: 6977–6982.
- 39. Rawlings ND, Barrett AJ, Bateman A (2010) MEROPS: the peptidase database. Nucleic Acids Res 38: D227–233.
- 40. Derrien M, Collado MC, Ben-Amor K, Salminen S, de Vos WM (2008) The Mucin degrader Akkermansia muciniphila is an abundant resident of the human intestinal tract. Appl Environ Microbiol 74: 1646–1648.
- 41. Abbott DW, Eirín-López JM, Boraston AB (2008) Insight into ligand diversity and novel biological roles for family 32 carbohydrate-binding modules. Mol Biol Evol 25: 155–167.
- 42. Gregg KJ, Finn R, Abbott DW, Boraston AB (2008) Divergent modes of glycan recognition by a new family of carbohydrate-binding modules. J Biol Chem 283: 12604–12613.
- 43. Swiecicka I (2008) Natural occurrence of Bacillus thuringiensis and Bacillus cereus in eukaryotic organisms: a case for symbiosis. Biocontrol Science and Technology 18: 221–239.
- 44. Mello LV, Chen X, Rigden DJ (2010) Mining metagenomic data for novel domains: BACON, a new carbohydrate-binding module. FEBS Lett 584: 2421–2426.
- 45. Rigden DJ, Mello LV, Galperin MY (2004) The PA14 domain, a conserved all-beta domain in bacterial toxins, enzymes, adhesins and signaling molecules. Trends Biochem Sci 29: 335–339.
- 46. Martens EC, Chiang HC, Gordon JI (2008) Mucosal glycan foraging enhances fitness and transmission of a saccharolytic human gut bacterial symbiont. Cell Host Microbe 4: 447–457.
- 47. Fang S, Wang L, Guo W, Zhang X, Peng D, et al. (2009) Bacillus thuringiensis bel protein enhances the toxicity of Cry1Ac protein to Helicoverpa armigera larvae by degrading insect intestinal mucin. Appl Environ Microbiol 75: 5237–5243.
- 48. Wang P, Granados RR (2001) Molecular structure of the peritrophic membrane (PM): identification of potential PM target sites for insect control. Arch Insect Biochem Physiol 47: 110–118.
- 49. Pearson JP, Brownlee IA (2005) Structure and function of mucosal surfaces. In: Nataro JP, Cohen PS, Mobley HLT, Weiser JN, editors. Colonization of mucosal surfaces. Washington DC: ASM Press. pp. 3–16.
- 50. Auld DS (1995) Removal and replacement of metal ions in metallopeptidases. Methods Enzymol 248: 228–242.
- 51. Szabady RL, Yanta JH, Halladin DK, Schofield MJ, Welch RA (2011) TagA is a secreted protease of Vibrio cholerae that specifically cleaves mucin glycoproteins. Microbiology 157: 516–525.
- 52. Brockhausen I, Schachter H, Stanley P (2009) O-GalNAc Glycans. In: Varki A, Cummings RD, Esko JD, Freeze HH, Stanley P, et al., editors. Essentials of Glycobiology. 2nd ed. Cold Spring Harbor: Cold Spring Harbor Laboratory Press. pp. 115–128.
- 53. Peterson KM (2002) Expression of Vibrio cholerae virulence genes in response to environmental signals. Curr Issues Intest Microbiol 3: 29–38.
- 54. Parsot C, Taxman E, Mekalanos JJ (1991) ToxR regulates the production of lipoproteins and the expression of serum resistance in Vibrio cholerae. Proc Natl Acad Sci U S A 88: 1641–1645.
- 55. Senderovich Y, Izhaki I, Halpern M (2010) Fish as reservoirs and vectors of Vibrio cholerae. PLoS One 5: e8607.
- 56. Hazen TH, Pan L, Gu JD, Sobecky PA (2010) The contribution of mobile genetic elements to the evolution and ecology of Vibrios. FEMS Microbiol Ecol 74: 485–499.
- 57. Kaper JB, Nataro JP, Mobley HL (2004) Pathogenic Escherichia coli. Nat Rev Microbiol 2: 123–140.
- 58. Money P, Kelly AF, Gould SW, Denholm-Price J, Threlfall EJ, et al. (2010) Cattle, weather and water: mapping Escherichia coli O157:H7 infections in humans in England and Scotland. Environ Microbiol 12: 2633–2644.
- 59. Sonnenburg ED, Zheng H, Joglekar P, Higginbottom SK, Firbank SJ, et al. (2010) Specificity of polysaccharide use in intestinal bacteroides species determines diet-induced microbiota alterations. Cell 141: 1241–1252.
- 60. Xu J, Mahowald MA, Ley RE, Lozupone CA, Hamady M, et al. (2007) Evolution of symbiotic bacteria in the distal human intestine. PLoS Biol 5: e156.
- 61. Farthing MJ (2006) Treatment options for the eradication of intestinal protozoa. Nat Clin Pract Gastroenterol Hepatol 3: 436–445.
- 62. Hobbs MM, Seña AC, Swygard H, Schwekke JR (2007) Trichomonas vaginalis and trichomononisasis. In: Holmes K, Sparling S, Stamm W, Piot P, Wasserheit J, et al., editors. Sexually transmitted diseases. 4th ed. McGraw-Hill Professional. pp. 771–794.
- 63. Davis PH, Chen M, Zhang X, Clark CG, Townsend RR, et al. (2009) Proteomic comparison of Entamoeba histolytica and Entamoeba dispar and the role of E. histolytica alcohol dehydrogenase 3 in virulence. PLoS Negl Trop Dis 3: e415.
- 64. Pereira-Neves A, Benchimol M (2007) Phagocytosis by Trichomonas vaginalis: new insights. Biol Cell 99: 87–101.
- 65. de Groot PW, Klis FM (2008) The conserved PA14 domain of cell wall-associated fungal adhesins governs their glycan-binding specificity. Mol Microbiol 68: 535–537.
- 66. Songer JG (2010) Clostridia as agents of zoonotic disease. Vet Microbiol 140: 399–404.
- 67. Qin X, Evans JD, Aronstein KA, Murray KD, Weinstock GM (2006) Genome sequences of the honey bee pathogens Paenibacillus larvae and Ascosphaera apis. Insect Mol Biol 15: 715–718.
- 68. Heermann R, Fuchs TM (2008) Comparative analysis of the Photorhabdus luminescens and the Yersinia enterocolitica genomes: uncovering candidate genes involved in insect pathogenicity. BMC Genomics 9: 40.
- 69. Zhang JC, Sun L, Nie QH (2010) Botulism, where are we now? Clin Toxicol (Phila) 48: 867–879.
- 70. Brun E, Moriaud F, Gans P, Blackledge MJ (1997) Solution structure of the cellulose-binding domain of the Endoglucanase Z secreted by Erwinia chrysanthemi. Biochemistry.
- 71. Ikegami T, Okada T, Hashimoto M, Seino S (2000) Solution structure of the chitin-binding domain of Bacillus circulans WL-12 chitinase A1. Journal of Biological Chemistry.
- 72. Antúnez K, Anido M, Schlapp G, Evans JD, Zunino P (2009) Characterization of secreted proteases of Paenibacillus larvae, potential virulence factors involved in honeybee larval infection. J Invertebr Pathol 102: 129–132.
- 73. Stenfors Arnesen LP, Fagerlund A, Granum PE (2008) From soil to gut: Bacillus cereus and its food poisoning toxins. FEMS Microbiol Rev 32: 579–606.
- 74. Wilkinson M, McInerney JO, Hirt RP, Foster PG, Embley TM (2007) Of clades and clans: terms for phylogenetic relationships in unrooted trees. Trends in ecology & evolution 22: 114–115.
- 75. Goulas T, Arolas JL, Gomis-Ruth FX (2011) Structure, function and latency regulation of a bacterial enterotoxin potentially derived from a mammalian adamalysin/ADAM xenolog. Proc Natl Acad Sci U S A 108: 1856–1861.
- 76. Cerda-Costa N, Guevara T, Karim AY, Ksiazek M, Nguyen KA, et al. (2011) The structure of the catalytic domain of Tannerella forsythia karilysin reveals it is a bacterial xenologue of animal matrix metalloproteinases. Mol Microbiol 79: 119–132.
- 77. Vilcinskas A (2010) Coevolution between pathogen-derived proteinases and proteinase inhibitors of host insects. Virulence 1: 206–214.
- 78. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, et al. (1997) Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25: 3389–3402.
- 79. Finn RD, Mistry J, Tate J, Coggill P, Heger A, et al. (2010) The Pfam protein families database. Nucleic Acids Res 38: D211–222.
- 80. Gouy M, Guindon S, Gascuel O (2010) SeaView version 4: A multiplatform graphical user interface for sequence alignment and phylogenetic tree building. Mol Biol Evol 27: 221–224.
- 81. Dyrlovbendtsen J (2004) Improved Prediction of Signal Peptides: SignalP 3.0. Journal of Molecular Biology 340: 783–795.
- 82. Krogh A, Larsson B, von Heijne G, Sonnhammer ELL (2001) Predicting transmembrane protein topology with a hidden markov model: application to complete genomes. Journal of Molecular Biology 305: 567–580.
- 83. Kall L, Krogh A, Sonnhammer EL (2005) An HMM posterior decoder for sequence feature prediction that includes homology information. Bioinformatics 21: Suppl 1i251–257.
- 84. Söding J, Biegert A, Lupas AN (2005) The HHpred interactive server for protein homology detection and structure prediction. Nucleic Acids Research 33: W244–248.
- 85. Frickey T, Lupas A (2004) CLANS: a Java application for visualizing protein families based on pairwise similarity. Bioinformatics 20: 3702–3704.
- 86. Bolam DN, Xie H, Pell G, Hogg D, Galbraith G, et al. (2004) X4 modules represent a new family of carbohydrate-binding modules that display novel properties. J Biol Chem 279: 22953–22963.
- 87. Letunic I, Bork P (2011) Interactive Tree Of Life v2: online annotation and display of phylogenetic trees made easy. Nucleic acids research.