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. 2007;31(8):763–782. doi: 10.1016/j.dci.2006.11.004

Biomphalaria glabrata transcriptome: Identification of cell-signalling, transcriptional control and immune-related genes from open reading frame expressed sequence tags (ORESTES)

Anne E Lockyer a,, Jennifer N Spinks a, Anthony J Walker b, Richard A Kane a, Leslie R Noble c, David Rollinson a, Emmanuel Dias-Neto d,e, Catherine S Jones c
PMCID: PMC1871615  EMSID: UKMS448  PMID: 17208299

Abstract

Biomphalaria glabrata is the major intermediate snail host for Schistosoma mansoni, one of the important schistosomes infecting man. Much remains to be discovered concerning specific molecules mediating the defence events in these intermediate hosts, triggered by invading schistosomes. An expressed sequence tag (EST) gene discovery strategy known as ORESTES has been employed to identify transcripts that might be involved in snail–schistosome interactions in order to examine gene expression patterns in infected B. glabrata. Over 3930 ESTs were sequenced from cDNA libraries made from both schistosome-exposed and unexposed snails using different tissue types, producing a database of 1843 non-redundant clones. The non-redundant set has been assessed for gene ontology and KEGG pathway assignments. This approach has revealed a number of signalling, antioxidant and immune-related gene homologues that, based on current understanding of molluscan and other comparative systems, might play an important role in the molluscan defence response towards infection.

Keywords: Expressed sequence tag, EST, ORESTES, Molluscan defence, Biomphalaria glabrata, Schistosoma mansoni

1. Introduction

The freshwater snail Biomphalaria glabrata is an intermediate host for Schistosoma mansoni, the digenean parasite that causes human intestinal schistosomiasis. This host–parasite relationship has become a model system for examination of snail–schistosome interactions, and as such, recent molecular work has focused on B. glabrata. Now with the continued significance of genome research, the B. glabrata genome initiative (http://biology.unm.edu/biomphalaria-genome/) aims to increase the available genetic data for this snail species, with the final goal of a complete genome sequence. Such sequence data will complement that available for the schistosome parasite from the schistosome genome/transcriptome sequencing initiatives [1–5] and for the definitive host from the human genome project [6]. In addition to genome sequencing, the generation of expressed sequence tags (ESTs), short stretches of sequence obtained from cDNA libraries [7], is valuable in a number of ways: in identifying snail homologues of genes previously described in other species; for identifying transcribed regions of the genome, useful for genome annotation and analysis; for the detection of splice variants and alternative polyadenylation gene isoforms; in the discovery of single nucleotide polymorphisms (SNPs) and finally for expression studies, such as those involving microarrays. The EST project described here was initiated with the ultimate aim of manufacturing a cDNA microarray for B. glabrata, which required a large number of sequenced cDNA clones to be available.

EST projects in other molluscs, such as oysters, have revealed a wealth of useful sequence data including signalling, antioxidant and immune-related gene homologues [8,9], demonstrating that molluscs express many of the same genes, and may therefore carry out the same processes, which have previously been described in vertebrates. A recent EST project from Lymnaea stagnalis [10] identified a number of genes that had not previously been identified in the Lophotrochozoa. Therefore initiating an EST sequencing project in B. glabrata has the potential to identify other novel molluscan genes including those that might be associated with the snail's response to infection. At the start of this project (January 2003) only 1427 B. glabrata EST sequences were available on GenBank from earlier studies [11–15]. During the course of this project several other laboratories have also developed gene discovery programmes for B. glabrata [16,17] (see also http://biology.unm.edu/biomphalaria-genome/detailing unpublished EST programmes).

Previous EST projects in B. glabrata [11,15] used traditional library construction and sequencing approaches to obtain sequence data. A complimentary EST approach called open reading frame ESTs (ORESTES) [18] has been used successfully to obtain large numbers of sequences for both human [18–20] and schistosome [4,5] transcriptome projects. The ORESTES approach preferentially targets the middle section of mRNAs [18], making it more likely coding regions will be sequenced, than in other EST methodologies where sequencing commences at the end of the cDNA, often only obtaining untranslated sequence. This alternative method has two advantages for snail ESTs; firstly, it is more likely that gene similarity to other organisms can be ascertained if coding regions are sequenced, and secondly, the data generated are likely to be complementary to, rather than redundant with, sequence data from traditional approaches. The ORESTES approach also allows the construction of a number of mini-libraries using small quantities of RNA [21], making it suitable for investigating gene expression in small amounts of tissue such as those present in B. glabrata. Producing a large number of smaller libraries also facilitates a more extensive analysis of gene expression; thus in the EST project described here, different snail strains (both resistant and susceptible to S. mansoni infection) were used and different tissue types from both parasite-exposed and unexposed material were examined. Based on gene ontology and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway assignments a number of antioxidant, signalling and immune-related gene homologues have been identified and are presented here; the potential involvement of these genes in molluscan defence is considered, particularly within the framework of comparative immunobiology.

2. Materials and methods

2.1. Snail material

B. glabrata strains used were: resistant BS90 [22] (NHM3017) or susceptible NHM1742 or BB02 (NHM3032), the strain currently being used for the genome sequencing project (see http://biology.unm.edu/biomphalaria-genome/BB02STRAIN.html). Snails were held overnight in autoclaved snail water with 100 μg/ml ampicillin prior to killing by decapitation. The exuded haemolymph was collected, pooled and the haemocytes isolated by centrifugation at 4 °C, 10,000g for 20 min. Each snail was preserved in 800 μl RNAlater (Ambion Inc., Texas, USA) and stored at −20 °C until dissection. Haemopoietic organ, ovotestis, head/foot and brain tissue was dissected. For the exposed material, 60 snails were individually exposed to 10 S. mansoni miracidia (Belo Horizonte strain) each and 2, 4, 6, 8 and 24 h after infection, 12 of the snails were swiftly killed as above. Tissue was pooled from each time period; the extended sampling was designed to include all transcripts expressed over the first 24 h of infection.

2.2. RNA extraction

Total RNA was extracted from each dissected tissue using SV RNA extraction kit (Promega UK Ltd, Southampton, UK) according to the manufacturer's protocol. This kit includes DNAse treatment to eliminate genomic DNA contamination. Pigment from the head/foot tissue was found to block the spin columns supplied with this extraction kit, so RNA was extracted from this tissue using Trizol (Invitrogen Ltd, Paisley, UK). Briefly, 30 mg tissue was ground in 1 ml Trizol and centrifuged at 12,000g for 10 min at 4 °C. The supernatant was incubated at room temperature for 5 min then 0.2 ml chloroform added, mixed vigorously and left at room temperature for 3 min. The samples were spun at 12,000g, 4 °C for 15 min and the RNA precipitated from the supernatant using 0.5 ml propan-2-ol and centrifugation at 12,000g for 10 min at 4 °C. The pellet was washed using 75% ethanol and dissolved in 50–100 μl water. RNA extracted using Trizol was DNAse treated (Promega), according to the manufacturer's instructions prior to mRNA extraction. mRNA was extracted from the total RNA from both extraction methods using the Micro-fastTrack 2.0 mRNA extraction kit (Invitrogen) according to the manufacturer's instructions. The mRNA was eluted in 200 μl elution buffer and precipitated overnight at −70 °C using 600 μl ethanol. The mRNA was dissolved in 10 μl water and tested using specific B. glabrata actin primers [12] to check there was no DNA contamination.

2.3. cDNA synthesis and amplification

For each library, a 27 μl mastermix containing 800 U Reverse Transcriptase (MMLV-RT) (Promega), 4 μl RNAsin (Promega), 4 μl dNTPs at 2 mM, 8 μl 5× buffer (Promega) and 7 μl mRNA (70–240 ng) was prepared and 2 μl aliquoted into 12 tubes prepared with 12 different arbitrary primers (1.5 μl of 15 mM) (for primer sequences see supplementary material). The tubes were incubated at 42 °C for 1 h then heated to 70 °C for 10 min.

Amplification was carried out using Ready-to-go beads (Amersham Biosience, Amersham, UK). The 3.5 μl cDNA reactions (including primers) and 25 μl water were each added to a tube containing a single bead and amplified using the following cycling conditions: 75 °C for 5 min followed by 15 cycles at 94 °C, 52–45 °C for 1 min (touchdown PCR, dropping 0.5 °C each cycle) and 1 min 72 °C, then 26 cycles of 94 °C for 30 s, 48 °C for 1 min and 72 °C for 1 min, then 7 min at 72 °C. A negative control (no DNA) was carried out simultaneously for each primer (dissolving 2 ready-to-go beads in 50 μl water and aliquoting 3 μl into a tube containing 0.3 μl primer (at 15 mM)). Three μl of each synthesis reaction was examined by gel electrophoresis alongside the control amplification and reactions chosen for inclusion in the mini-library only if the control amplification showed no contamination and a smear without single prominent bands in the reaction profile. This ensured that a mix of products would be obtained from each library.

2.4. Cloning and sequencing

For each library, the selected amplified cDNA samples were pooled and cloned using pGEM-T easy cloning kit (Promega) according to the manufacturer's instructions. One hundred and ninety two clones (2×96), selected at random from the cloning plates were picked into 0.5 ml LB and grown up overnight. Ten μl PCRs with M13 forward and reverse primers were carried out to check insert size and the presence of a single insert and, from these, 96 colonies were chosen for 100 μl PCRs. PCRs contained 1×NH4 reaction buffer (Bioline, London, UK), 2.5 mM MgCl2, 0.2 mM dNTP, 0.2 μM each M13 Forward and Reverse primers and 0.025 U/μl PCR Taq polymerase (Bioline, London, UK). Cycling conditions were: 94 °C for 2 min, then 35 cycles of 94 °C for 30 s, 58 °C for 30 s and 72 °C for 1 min 30 s, then 10 min at 72 °C. Glycerol stocks for the selected colonies were stored at −80 °C.

PCR products were purified using Multiscreen PCR filter plates (Millipore, Billerica, USA) then cycle-sequenced directly using BigDye kit (Applied Biosystems, Foster City, USA) and T7 primer and run on ABI 377 or capillary sequencers. Vector, primer and poor quality sequences were removed using Sequencher 3.1.1 (GeneCodes Corp., Ann Arbor, USA).

2.5. Bioinformatics

Cluster analysis was performed in SeqTools (http://www.seqtools.dk/) using BlastN score values (cut-off value 0.5) and used to calculate percentage redundancy. For each library BlastN and BlastX [23] searches were run and any ribosomal sequences and sequences shorter then 80 bp removed. Duplicate sequences were also removed, although overlapping sequences were retained. Since each library represented different tissues, strains or infected/uninfected material, duplicate sequences between libraries were retained.

2.6. Clone nomenclature

Each clone had a unique ZB number assigned during sequencing. In addition to this the clones were also assigned a code based on strain (see Section 2.1), tissue type (B—brain, HO—haemopoietic organ, HAEM—haemocytes, HF—head/foot and OT—ovotestis), infection status (EX—parasite exposed, UN—unexposed) and plate number and position. The sequences were submitted to GenBank (accession numbers CK149151-CK149590, CK656591-CK656938, CO870183-CO870449, CV548035-CV548805, EG030731-EG030747).

2.7. Gene function

Gene ontology functions were assigned using GOblet (http://goblet.molgen.mpg.de/). KEGG pathway analysis was carried out using the KEGG automatic annotation server (KAAS) for ortholog assignment and pathway mapping (http://www.genome.jp/kegg/kaas/).

3. Results

3.1. ORESTES libraries

A total of 41 ORESTES libraries were made from five tissue types (head–foot, brain, ovotestis, haemocytes and haemopoietic organ) from the three B. glabrata strains, one resistant (NHM3017) and two susceptible (NHM1742 and BB02 (NHM3032)), using material that had either remained unexposed or had been exposed to S. mansoni (Table 1). Some of the libraries were made from the same snail strain and tissue type but were separately made with different primers, using new experimental material, so have been treated independently. Libraries were prepared from each of the two susceptible strains for each tissue, with the exception of exposed ovotestis from NHM1742 where two libraries were made. Two or three libraries were prepared per tissue and exposure type for the resistant strain, with the exception of brain tissue where material was limiting. A single plate of 96 clones was sequenced for each library and in total, 3936 clones were sequenced from 41 libraries.

Table 1.

Biomphalaria glabrata ORESTES libraries. The number of non-redundant (NR) sequences was determined after cluster and Blast analyses to remove duplicate and ribosomal sequences from within each library

Straina Tissueb Parasite exposurec No. sequences obtained % redundancy No. NR sequences % Unique (and non-ribo) Library name
1742 HF EX 93 36.6 55 59.1 BgORESTES infected NHM 1742 Head/foot
1742 HF UN 88 52.3 35 39.8 BgORESTES uninfected NHM 1742 Head/foot
1742 OT UN 89 46.1 36 40.4 BgORESTES uninfected NHM 1742 Ovotestis
3017 OT EX 94 50 45 47.9 BgORESTES schistosome-exposed NHM 3017 Ovotestis
1742 OT EX 90 47.8 51 56.7 BgORESTES infected NHM 1742 Ovotestis 1
1742 OT EX 91 58.2 37 40.7 BgORESTES infected NHM 1742 Ovotestis 2
1742 HAEM EX 91 53.8 24 25.3 BgORESTES infected NHM 1742 Haemocytes
1742 HO UN 92 51.1 42 45.7 BgORESTES uninfected NHM 1742 Haemopoietic organ
1742 HO EX 96 56.3 36 37.5 BgORESTES infected NHM 1742 Haemopoietic organ
1742 HAEM UN 92 58.7 24 26.1 BgORESTES uninfected NHM 1742 Haemocytes
3017 HF EX 94 30.9 58 61.7 BgORESTES schistosome-exposed NHM 3017 Head/foot
3017 OT UN 94 40.4 53 56.4 BgORESTES unexposed NHM 3017 Ovotestis
3017 OT EX 93 40.9 52 55.9 BgORESTES schistosome-exposed NHM 3017 Ovotestis2
3017 HAEM UN 94 47.7 35 37.2 BgORESTES unexposed NHM 3017 Haemocytes
3017 HAEM EX 87 57.5 20 23.0 BgORESTES schistosome-exposed NHM 3017 Haemocytes
3017 HO UN 91 28.6 56 61.5 BgORESTES unexposed NHM 3017 Haemopoietic organ
3017 HO EX 81 30.9 47 58.0 BgORESTES schistosome-exposed NHM 3017 Haemopoietic organ
3017 HF UN 95 34.7 52 54.7 BgORESTES unexposed NHM 3017 Head/foot
3017 HF EX 96 52.1 34 35.4 BgORESTES schistosome-exposed NHM 3017 Head/foot2
3017 HAEM UN 93 29 42 45.2 BgORESTES unexposed NHM 3017 Haemocytes2
3017 HAEM EX 90 70 9 10.0 BgORESTES schistosome-exposed NHM 3017 Haemocytes2
3017 HO UN 93 62.4 16 17.2 BgORESTES unexposed NHM 3017 Haemopoietic organ2
3017 HO EX 96 71.9 20 20.8 BgORESTES schistosome-exposed NHM 3017 Haemopoietic organ2
3017 OT UN 96 35.4 57 59.4 BgORESTES unexposed NHM 3017 Ovotestis2
3017 OT EX 94 45.7 47 50.0 BgORESTES schistosome-exposed NHM 3017 Ovotestis3
3017 HF UN 94 43.6 40 42.6 BgORESTES unexposed NHM 3017 Head/foot2
3017 HF EX 93 50.5 39 41.9 BgORESTES schistosome-exposed NHM 3017 Head/foot3
1742 B UN 95 20 66 69.5 BgORESTES uninfected NHM 1742 Brain
1742 B EX 94 9.6 82 87.2 BgORESTES infected NHM 1742 Brain
3017 B UN 91 71.4 18 19.8 BgORESTES unexposed NHM 3017 Brain
3017 B EX 94 57.4 32 34.0 BgORESTES schistosome-unexposed NHM 3017 Brain
3032 HF EX 95 51.6 43 45.3 BgORESTES infected NHM 3032 Head/foot
3032 OT EX 94 46.8 47 50.0 BgORESTES infected NHM 3032 Ovotestis
3032 B EX 94 42.6 49 52.1 BgORESTES infected NHM 3032 Brain
3032 HO EX 96 36.5 56 58.3 BgORESTES infected NHM 3032 Haemopoietic organ
3032 HAEM UN 95 24.2 64 67.4 BgORESTES uninfected NHM 3032 Haemocytes
3032 HAEM EX 96 33.3 47 49.0 BgORESTES infected NHM 3032 Haemocytes
3032 HF UN 93 36.6 59 63.4 BgORESTES uninfected NHM 3032 Head/foot
3032 OT UN 94 19.1 74 78.7 BgORESTES uninfected NHM 3032 Ovotestis
3032 B UN 95 23.2 73 76.8 BgORESTES uninfected NHM 3032 Brain
3032 HO UN 93 16.1 71 76.3 BgORESTES uninfected NHM 3032 Haemopoietic organ


Total 3809 1843
Mean 43.2 44.9 48.2
a

NHM Strain: 3017—resistant snails, 1742, 3032 (BB02)—susceptible snails.

b

Tissue type: HF—head/foot, OT—ovotestis, HO—haemopoietic organ, HAEM—haemocytes, B—brain.

c

Snails exposed (EX) or unexposed (UN) to S. mansoni miracidia.

3.2. Analysis of total ESTs and selection of non-redundant ESTs

A total of 3809 sequences were obtained (127 reactions did not work or the sequenced clones contained no insert or had mixed sequences so these were not analysed further) and were compared to the non-redundant section of GenBank. The Blast results (Table 2) showed that 28.5% (n=1087) of the gene fragments identified proteins on the database, including 35 previously characterized B. glabrata proteins and 127 proteins with no assigned function. Including some other non-coding gene fragment matches, less than 2% (n=76) of the sequences matched characterized B. glabrata genes or proteins in the non-redundant section of GenBank. Nearly 35% (n=1317) could not be assigned any function, either having no Blast matches, or having homology to a nucleotide or protein sequence on GenBank with no function described. Unfortunately, 39% of the sequences (n=1482) matched B. glabrata ribosomal sequences. Other workers [16] have also found a large ribosomal content in polyA selected RNA from B. glabrata, and concluded that the high A content in B. glabrata ribosomal sequences meant that polyA selection did not efficiently remove it. In the present study it was found that some 18mer primers chosen for ORESTES library construction tended to target ribosomal regions, so they were not used again. However, it was impossible to predict in advance which primers would be problematic. The ‘other’ sequences (n=8) had database matches but do not necessarily code for proteins, for example retrotransposon sequences. For each library, duplicate and ribosomal sequences were removed and the % redundancy per plate ranged from 9.6% to 71.9% (Table 1).

Table 2.

Blast results summary. Breakdown of the types of sequences obtained from the B. glabrata ORESTES libraries identified with Blast searches of GenBank

All sequences
Non-redundant sequences
Category No. sequences % sequences No. sequences % sequences
Protein 907 23.8 739 40.1
Mitochondrial Protein 4 0.1 4 0.2
Ribosomal Protein 14 0.4 11 0.6
Biomphalaria Protein 35 0.9 22 1.2
Biomphalaria fragment 41 1.1 40 2.2
Ribosomal 1482 38.9 44 2.4
Unknown (no BLAST match) 1106 29.0 832 45.1
Unknown EST 84 2.2 56 3.0
Unknown Protein 127 3.3 88 4.8
Other 8 0.2 7 0.4 


Total 3809 100.0 1843 100.0

After removal of duplicate and ribosomal sequences, a total of 1843 non-redundant sequences were submitted to GenBank, ranging in size from 80 bp (shorter sequences were discarded) to 1068 bp, with a mean length of 518 bp. Cluster analysis between libraries (since the data were previously sifted to remove duplicate clones from each library) revealed 456 sequences in 163 clusters and 1387 singletons (Fig. 1). This resulted in 1550 unique sequences, with 15.9% redundancy. The most common sequence (in 12 of the libraries) was tropomyosin 2 (SwissProt accession number P43689), previously sequenced from B. glabrata [24], while two other common sequences (in 11 libraries) were a hypothetical integral membrane transporter protein (accession number XP_135742) and a sequence with no Blast match. Examining the Blast results from the 1843 non-redundant sequences (Table 2), 42% showed significant BlastX similarity to known proteins (including mitochondrial, ribosomal and Biomphalaria proteins) in the non-redundant databases, while 52.9% were of unknown function, 3.4% Biomphalaria sequences, 0.4% ‘other’ sequences (e.g. retrotransposons) and the remainder were ribosomal sequences (2.4%).

Fig. 1.

Fig. 1

Histogram showing EST clusters in the non-redundant EST set, after removal of duplicates within libraries.

3.3. Cluster analysis with other B. glabrata ESTs

Sequences from the 1843 ORESTES clones were used for BlastN searches of the other 10,791 B. glabrata EST sequences available on dbEST (September 2006) including many added since the sequences presented here. Four hundred and thirty-nine of the ESTs identified B. glabrata sequences with a match greater than 1e-20. Cluster analysis of these revealed 293 clusters or unique ESTs matched sequences on dbEST. Closer examination of a subset of 1613 sequences from a B. glabrata haemocyte cDNA library [17], created in the conventional way (not from ORESTES mini-libraries) showed only 31 ORESTES sequences clustered with transcripts sequenced from that library.

3.4. Functional classification based on gene ontology assignments

The functions of the non-redundant 1843 sequences were assessed using gene ontology, based on Blast matches with genes whose functions have been previously assessed (Fig. 2). Of the 1843 ESTs, 587 were assigned a function, in three categories, biological process, molecular function and cellular component. In the biological process categories, the largest proportion (44%) was assigned to physiological processes (Fig. 2a). The most prevalent molecular functions (Fig. 2b) were binding (36%) and catalytic activity (23%). Other molecular function assignments were signal transducers (8%) and transcription regulators (4%), and five antioxidant genes (0.4%) were also identified. Over 80% of the cellular component assignments were for genes coding for cellular proteins including 50% intracellular and 25% membrane proteins (Fig. 2c). Gene ontologies were examined to identify genes that were homologous to antioxidant molecules, signalling molecules, transcriptional regulators, immune response genes and stress response genes (Table 3), since many of these might be significant in the snail's response to parasite infection. A total of 117 homologues of genes that code for proteins involved in cell signalling or transcriptional regulation were identified; these genes were categorised as follows: signal transducers (54), cell–cell signalling (19), transcription regulator activity (28), signal transducers and transcription factor regulators (10) (Table 3). Although not the original purpose of generating these ESTs, gene ontologies were also assessed by tissue type, strain, parasite susceptibility and whether parasite exposed or unexposed, for both biological process and molecular function (see supplementary material).

Fig. 2.

Fig. 2

Gene ontologies. Percentage representation of gene ontology (GO) mappings for B. glabrata ESTs. (a) Biological processes, (b) molecular function and (c) cellular component. Note that individual GO categories can have multiple mappings and that the charts do not include ESTs with no blast/gene ontology matches.

Table 3.

Transcripts selected by gene ontology. Individual B. glabrata ESTs that identified antioxidant proteins, signal transducers, transcription regulators and immune or stress response proteins

Name GenBank accession Gene ID (Blast result)a Organisma Blast scorea
Antioxidant (GO:0016209)
3032HOUN59B8 CV548777 Peroxidasin (mKIAA0230) [BAC65505] M. musculus 2E-23
1742HFEX1H9 CK149203 Dual oxidase 1 [Q8HZK3] S. scrofa 2E-31
3017OTEX4H6 CK149399 Putative iron dependent peroxidase [Q8XGB1] S. typhi 5E-15
1742OTEX5B12 CK149417 Putative iron dependent peroxidase [Q8XGB1] S. typhi 7E-11
3032HAEMEX55E1 CV548486 Peroxinectin [AAL05973] P. monodon 6E-17 


Signal transducers (GO: 0007165)
3032BEX52G8 CV548350 Filamin 1 [P21333] H. sapiens 5E-53
1742BUN46B6 CV548064 Adenylyl cyclase [Q9QW33] Rattus sp. 4E-78
3017OTUN34C11 CO870317 Ankyrin 2 (Brain ankyrin) [Q01484] H. sapiens 2E-11
3017HFEX11B10 CK149239 Inhibitor of apoptosis protein [Q8UWD2] D. rerio 4E-17
3032OTUN57G6 CV548625 Inhibitor of apoptosis protein [Q8UWD2] D. rerio 4E-11
3017BEX49B1 CV548199 Buccalin precursor [P20481] A. californica 5E-67
3032BEX52A2 CV548323 Buccalin precursor [P20481] A. californica 2E-54
3032BEX52A12 CV548364 Buccalin precursor [P20481] A. californica 2E-19
3032BUN58E5 CV548692 Buccalin precursor [P20481] A. californica 5E-46
3032BUN58B9 CV548713 Buccalin precursor [P20481] A. californica 2E-19
3032HAEMEX55A11 CV548523 cAMP-specific 3’,5’-cyclic phosphodiesterase [P12252] D. melanogaster 2E-31
3032OTUN57A5 CV548614 Serine/threonine-protein kinase TNNI3 K (ANK repeats) [Q7TQP6] R. norvegicus 1E-18
3032OTUN57B1 CV548590 Regulator of G-protein signalling 22 [Q9BYZ4] H. sapiens 9E-22
3032HOUN59G3 CV548755 Bent (GH07636p) [Q9V4F7] D. melanogaster 2E-19
3032HOUN59B1 CV548737 Bent (GH07636p) [Q9V4F7] D. melanogaster 3E-76
3032HOEX53H6 CV548394 Elongation factor 1 alpha [P13549] X. laevis 1E-48
3017BUN48A11 CV548195 FMRFamide neuropeptides [P19802] L. stagnalis 4E-45
3032BUN58F5 CV548693 FMRFamide neuropeptides [P19802] L. stagnalis 1E-34
3017OTEX17H11 CK656694 Myotilin (Titin immunoglobulin domain protein) [Q9UBF9] H. sapiens 8E-13
3017HAEMUN28C9 CO870195 Protein kinase C inhibitor 1 (14-3-3-like) [P35214] H. sapiens 3E-52
3032HFEX50F2 CV548237 Hemolectin [Q9U5D0] D. melanogaster 2E-20
3032HFUN56E2 CV548539 Hemolectin [Q9U5D0] D. melanogaster 2E-20
3032HFUN56B8 CV548566 Hemolectin [Q9U5D0] D. melanogaster 4E-28
3017BEX49E3 CV548205 Molluscan insulin-related peptide 3 [P80090] L. stagnalis 6E-13
3032HFUN56E6 CV548560 Multiple EGF-like-domain protein 3 [O75095] H. sapiens 1E-30
3032HFUN56F9 CV548575 Multiple EGF-like-domain protein 3 [O75095] H. sapiens 8E-24
3032HOUN59C2 CV548745 Nidogen 1 [P10493] M. musculus 2E-23
3017HAEMEX19E1 CK656743 Feline leukemia virus subgroup C receptor [Q9N1F2] F. catus 2E-28
3017HOUN20E11 CK656783 PERQ amino acid rich, with GYF domain 1 [Q99MR1] M. musculus 1E-23
3032HFEX50E11 CV548269 PERQ amino acid rich, with GYF domain 1 [Q99MR1] M. musculus 1E-20
3017HFUN44E6 CO870392 Polycystic kidney disease protein 2 [Q7Z2B5] S. purpuratus 9E-45
3032HOUN59B11 CV548796 Polydom protein precusor [Q9ES77] M. musculus 3E-12
3017HAEMUN28F10 CO870213 Polyserase 1B protein [Q7Z410] H. sapiens 3E-22
3017HAEMEX29B4 CO870226 Polyserase 1B protein [Q7Z410] H. sapiens 1E-22
3032BEX52E7 CV548346 Serine/threonine protein phosphatase 2A [P11493] S. scrofa 4E-63
3032OTUN57F6 CV548624 pRb-interacting protein RbBP-36 [Q8IZZ0] H. sapiens 1E-20
3032BEX52H9 CV548355 Tyrosine phosphatase IA-2beta [Q9Y4I9] H. sapiens 6E-57
3032BUN58D5 CV548691 Tyrosine phosphatase IA-2beta [Q9Y4I9] H. sapiens 2E-46
3032OTUN57B12 CV548658 Muscle M-line assembly protein UNC-89 [O01761] C. elegans 2E-12
3032HOUN59F4 CV548760 Muscle M-line assembly protein UNC-89 [O01761] C. elegans 8E-25
3032HOEX53B12 CV548417 Muscle M-line assembly protein UNC-89 [O01761] C. elegans 2E-20
1742HOUN8B5 CK149518 RAS related protein Rab21 [Q9UL25] H. sapiens 3E-29
3017HFEX11H12 CK149287 RAS related protein Rab21 [Q9UL25] H. sapiens 1E-29
1742HFEX1G2 CK149192 GTP-binding nuclear protein Ran [P79735] D. rerio 2E-80
3017OTUN34B9 CO870310 Serine/threonine protein kinase SSTK [Q9BXA6] H. sapiens 3E-18
3032BUN58F11 CV548727 E3 ubiquitin-protein ligase HECTD1 [Q9ULT8] H. sapiens 6E-66
3032HOEX53G8 CV548401 SNF4/AMP-activated protein kinase gamma subunit [O96613] D. melanogaster 2E-29
3017OTEX17B2 CK656650 Transportin-SR [Q9Y540] H. sapiens 9E-58
1742HFEX1H2 CK149197 Twitchin [Q7YT99] M. galloprovincialis 5E-28
3017BUN48G6 CV548191 Type N4 regulatory subunit of protein kinase A [P31319] A. californica 1E-50
3032OTUN57C10 CV548648 Testis-enriched protein tyrosine phosphatase [Q9WU22] M. musculus 2E-66
1742HAEMEX7G1 CK149506 Integrin alpha 3 [Q86G86] P. includens 8E-23
3032OTUN57G7 CV548631 Receptor type protein-tyrosine phosphatase T precursor [O14522] H. sapiens 3E-16
3017HAEMEX19A3 CK656730 G protein-coupled receptor kinase type 2 [Q9U756] H. americanus 3E-62
3017HFEX45B5 CO870422 Megalin [P98164] H. sapiens 6E-20
1742OTEX5D3 CK149425 Activated protein kinase c receptor [Q9W7I1] X. laevis 1E-114
1742OTEX5H8 CK149451 Activated protein kinase c receptor [Q9W7I1] X. laevis 8E-24
3032HOUN59A5 CV548763 Receptor type guanylyl cyclase [Q9BPR0] B. mori 1E-22
3032BUN58B3 CV548678 Soluble guanylyl cyclase alpha [Q7YW37] L. marginatus 4E-63
1742HOEX9C10 CK149566 Collagen alpha 1(XIV) chain precusor (Undulin) [P32018] G. gallus 7E-15
1742BEX47A12 CV548175 JNK interacting protein 1 [Q9W0K0] D. melanogaster 4E-53
3032BUN58B11 CV548723 JNK interacting protein 1 [Q9W0K0] D. melanogaster 5E-31
1742BEX47E10 CV548166 JNK interacting protein 1 [Q9W0K0] D. melanogaster 2E-27
3032BUN58E4 CV548685 JNK interacting protein 1 [Q9W0K0] D. melanogaster 8E-24
3032BUN58A3 CV548677 Serine/threonine kinase receptor type1 [O73801] T. rubripes 1E-57
3032HFEX50H7 CV548257 Plectin [Q15149] H. sapiens 8E-15
3032HOEX53F1 CV548369 Smad anchor for receptor activation (SARA) [Q9YHB9] X. laevis 1E-56
3017HFEX11A5 CK149232 Src-family protein tyrosine kinase [Q8WQM5] S. purpuratus 4E-51
3032HAEMEX55D11 CV548524 TNF receptor-associated factor 1 [Q13077] H. sapiens 2E-27
3017HFEX45B8 CO870431 Epidermal growth factor precusor [P01133] H. sapiens 7E-22
3017HFEX45A4 CO870419 Fibrillin [P35555] H. sapiens 8E-26
3017HOUN32A5 CO870241 Macrophage mannose receptor [Q61830] M. musculus 2E-14
3032HOEX53A1 CV548367 Macrophage mannose receptor [Q61830] M. musculus 9E-23
1742HOUN8F1 CK149540 CYR61 protein precursor [Q9ES72] R. norvegicus 4E-29
3017HAEMUN18E5 CK656717 Focal adhesion kinase [Q7Z1D3] L. variegatus 1E-45 


Cell-cell signalling (GO: 0007267)
3032HAEMUN54B12 CV548481 Nicotinic acetylcholine receptor Dalpha6 [Q8T7S2] D. melanogaster 1E-49
1742HOEX9F4 CK149578 Afadin (AF-6 protein) [P55196] H. sapiens 2E-18
3017HAEMUN18H12 CK656729 Glutamate Receptor 2 [Q10914] C. elegans 1E-15
3017HOUN20E9 CK656782 Bone morphogenetic protein 10 preproprotein [Q9R229] M. musculus 3E-30
3017HOEX21A5 CK656808 Bone morphogenetic protein 10 preproprotein [Q9R229] M. musculus 3E-30
3032HFUN56E10 CV548580 Clathrin heavy chain [P11442] H. sapiens 1E-119
3032BEX52G5 CV548337 GABA Transaminase [P50554] R. norvegicus 1E-28
3032BUN58G12 CV548734 Cadherin-related tumour suppressor [Q14517] H. sapiens 4E-28
3017HFEX45B11 CO870445 Guanylate kinase associated protein [O14490] H. sapiens 4E-22
1742BUN46F12 CV548100 Guanylate kinase associated protein [O14490] H. sapiens 4E-21
3032HOUN59G12 CV548804 Synaptojanin 2 [O15056] H. sapiens 5E-13
1742BUN46H8 CV548080 Kinesin-like protein KIF1A [Q12756] H. sapiens 3E-30
1742BUN46F1 CV548040 Kinesin-like protein KIF1B [Q8R524] R. norvegicus 1E-108
1742HFEX1H4 CK149199 Lethal giant larvae homolog 1 [O00188] H. sapiens 7E-43
1742BUN46E9 CV548085 Prohormone convertase 2 (LPC2) [Q25409] L. stagnalis 1E-128
3032BUN58A9 CV548712 Munc13-2 protein [Q62769] R. norvegicus 1E-16
3017HFEX45B3 CO870416 Munc13-2 protein [Q62769] R. norvegicus 3E-39
1742HOEX9G9 CK149583 Sodium/potassium-transporting ATPase alpha-1 chain [Q9DGL6] D. rerio 6E-81
3017BEX49D12 CV548229 Synaptotagmin 11 [O08835] R. norvegicus 9E-50
3017BUN48C2 CV548182 Synaptotagmin 11 [O08835] R. norvegicus 3E-33
3032BUN58D7 CV548701 Synaptotagmin 11 [O08835] R. norvegicus 4E-34
3032OTUN57B8 CV548634 Tyrosine-protein kinase receptor [Q06807] B. taurus 6E-61
3032BUN58C12 CV548731 Putative pyrokinin receptor [Q7RTK4] A. gambiae 5E-26
1742BEX47H10 CV548168 Tryptophan hydroxylase [Q9NJQ3] L. stagnalis 6E-41
3032BUN58D3 CV548680 Tryptophan hydroxylase [Q9NJQ3] L. stagnalis 1E-40


Transcription regulator activity (GO: 0030528)
3017BEX49A4 CV548206 Eukaryotic translation intiation factor 3 subunit 10 [Q8I5S6] P. falciparum 2E-21
3017OTEX17B6 CK656654 Calreticulin [Q26268] A. californica 2E-63
1742HFEX1G4 CK149194 Chromodomain helicase DNA binding protein 5 [Q8TDI0] H. sapiens 7E-55
3017OTEX17C2 CK656662 C-terminal binding protein [O46036] D. melanogaster 1E-79
1742HOUN8D7 CK149529 Cytochrome P450 monooxygenase [O04892] N. tabacum 7E-21
1742HAEMUN10F7 CK149220 Cytochrome P450 monooxygenase [O04892] N. tabacum 4E-17
1742HOUN8F12 CK149546 Cytochrome P450 monooxygenase [O04892] N. tabacum 3E-15
3017HFEX45H10 CO870443 Elongation factor-2 [P13639] H. sapiens 3E-49
3017OTUN16F11 CK656633 Embryonic ectoderm development protein [P97462] M. musculus 2E-51
3032OTUN57E7 CV548630 HemK methyltransferase family member [Q9Y5R4] H. sapiens 3E-30
3017OTUN34G10 CO870315 High mobility group protein [P40618] G. gallus 2E-11
1742OTEX5D12 CK149429 Homeodomain interacting protein kinase 2 [Q9H2×6] H. sapiens 1E-57
3017OTEX17A8 CK656647 Fragile-chorion membrane protein [P13709] D. melanogaster 6E-27
1742BUN46A9 CV548081 LIM domain protein BX (BEADEX protein). [P91608] Drosophila sp. 2E-60
1742BEX47F11 CV548173 LIM domain protein BX (BEADEX protein). [P91608] Drosophila sp. 1E-60
3017HFEX45E11 CO870447 Max dimerization protein 1; mad [Q05195] H. sapiens 7E-24
3032OTUN57C3 CV548602 Myeloid/lymphoid or mixed-lineage leukemia protein 2 [O14686] H. sapiens 4E-59
3017HAEMUN28B11 CO870190 Bifunctional aminoacyl-tRNA synthetase [P28668] D. melanogaster 2E-56
3017OTUN16C3 EG030744 Nuclear factor NF-kB1 [P25799] M. musculus 1E-17
3017HFUN44C3 CO870383 LReO_3 protein [Q8UUM8] O. latipes 4E-16
3032HOEX53E9 CV548405 LReO_3 protein [Q8UUM8] O. latipes 1E-18
3032HFEX50B11 CV548268 LReO_3 protein [Q8UUM8] O. latipes 2E-18
1742HOUN8F2 CK149541 LReO_3 protein [Q8UUM8] O. latipes 2E-31
3017OTEX35D8 CO870357 Transcriptional activator protein Pur-alpha [P42669] M. musculus 7E-31
1742HAEMUN10D9 CK149214 Retinoblastoma binding protein 5 [Q15291] H. sapiens 1E-61
3032HFEX50F6 CV548253 Smad4 type2 [Q9W639] X. laevis 7E-76
1742HAEMEX7F10 CK149504 Transcription elongation factor DSIF [O00267] H. sapiens 1E-94
3017HOUN32D1 CO870235 Transcription elongation factor DSIF [O00267] H. sapiens 8E-32
3032HOEX53F10 CV548409 RUSH-1 [Q95216] O. cuniculus 9E-68
1742HFEX1H6 CK149201 Tis11 family protein [P47974] H. sapiens 3E-36
3017HOEX33B8 CO870263 Transcription factor IID p80 chain homolog [Q91857] X. laevis 2E-55
1742HFEX1C3 CK149163 Tropomyosin [O97192] H. aspersa 6E-39
3017HOEX21A2 CK656807 Tropomyosin [O97192] H. aspersa 1E-40
3017HFUN44E7 CO870396 Tropomyosin [O97192] H. aspersa 7E-77
3032HAEMUN54H4 CV548439 Staphylococcal nuclease domain-containing protein 1 [Q7K2F4] H. sapiens 3E-26
3032HAEMUN54E4 CV548436 Winged-helix repressor FOXP4 [Q8CIS1] M. musculus 3E-12
3032HAEMUN54C3 CV548430 Jumonji domain containing protein 2C [Q9H3R0] H. sapiens 5E-73


Signal transducers and transcription factor regulators (both GO: 0007165 and GO: 0030528)
1742OTEX5C1 CK149418 WDR9protein [Q9NSI6] H. sapiens 1E-80
3017HFEX11G11 CK149281 Pliotropic regulator 1 [Q9WUC8] R. norvegicus 2E-29
1742BUN46G3 CV548048 Transcriptional regulator ATRX protein [P46100] H. sapiens 7E-90
1742BEX47D9 CV548159 Beta-catenin [P35224] U. caupo 2E-34
3032HOEX53H9 CV548408 Beta-catenin [P35224] U. caupo 2E-83
1742BUN46H7 CV548074 Fibropellin-1 [P10079] S. purpuratus 1E-17
3032OTUN57B7 CV548627 HIRA protein [P54198] H. sapiens 3E-68
1742OTEX5A12 EG030742 IKAP [O95163] H. sapiens 4E-41
1742HFUN2A2 CK149289 Nuclear hormone receptor FTZ-F1 beta [Q05192] D. melanogaster 2E-17
3032HOUN59B7 CV548771 Orphan nuclear receptor NR1D2 [Q14995] H. sapiens 4E-25
1742OTEX5C2 CK149419 Histone-binding protein RBBP4 [Q09028] H. sapiens 1E-131 


Immune response (GO: 0006955)
3032BUN58C5 CV548690 Alpha 2-macroglobulin [O01717] Limulus sp. 5E-20
1742OTEX6D7 CK149467 Alpha-1 inhibitor III [Q62591] R. sordidus 3E-16
1742BEX47H4 CV548126 ATP-binding cassette sub-family F member 1 [Q8NE71] H. sapiens 5E-56
1742HOUN8H9 CK149553 Paramyosin [O96064] M. galloprovincialis 7E-61
3017OTUN16E12 CK656627 Exosome complex exonuclease RRP45 [Q9JHI7] M. musculus 5E-73
3032BEX52B6 CV548339 Exosome complex exonuclease RRP45 [Q9JHI7] M. musculus 2E-77
1742OTUN3F6 CK149346 J kappa-recombination signal binding protein [P31266] M. musculus 2E-24
3017OTUN34C5 CO870295 Rho guanine nucleotide exchange factor 4 [Q9NR80] H. sapiens 4E-36
1742BEX47G7 CV548147 Soma ferritin [P42577] L. stagnalis 7E-60
3032HFUN56G3 CV548545 Soma ferritin [P42577] L. stagnalis 3E-59


Response to stress (GO: 0006950)
3017HOUN20F4 CK656786 60S acidic ribosomal protein P0 [Q9NHP0] S. crassipalpis 9E-73
1742HOEX9H9 CK149589 Cdc7-related kinase [Q9Z2Y5] M. musculus 4E-45
3032HAEMUN54A6 CV548444 ATP-dependent RNA helicase Ddx1 [Q9VNV3] D. melanogaster 1E-60
3017OTUN34C6 CO870298 78 kDa glucose-regulated protein precursor [Q16956] A. californica 2E-86
3017BUN48H5 CV548188 Helicase-like protein NHL [Q9NZ71] H. sapiens 1E-25
3032OTUN57E6 CV548623 Hypoxia up-regulated 1 [Q9Y4L1] H. sapiens 1E-38
3032HOEX53A9 CV548403 Mismatch repair protein pms1 homologue [Q8IBJ3] P. falciparum 1E-14
3017HOEX33D3 CO870252 DNA mismatch repair protein Mlh1 [P40692] H. sapiens 2E-25
1742OTEX6D1 CK149464 Polyubiquitin [P62988] H. sapiens 2E-55
3017OTUN34G6 CO870301 Polyubiquitin [P62988] H. sapiens 6E-85
1742HOUN8C5 CK149524 Polyubiquitin [P62988] H. sapiens 8E-44
a

GenBank accession number, organism and E value given for the top match.

3.5. Functional classification based on KEGG pathway analysis

As an alternative method of categorising ESTs by biochemical function, clones were assigned to biochemical pathways using the KEGG website. Four hundred and thirteen ESTs were assigned to metabolic, genetic information processing, environmental information processing and cellular pathways (Tables 4 and 5). Thirty-one enzymes (38 clones) from 7 out of a possible 11 signal transduction pathways were identified as well as 25 enzymes (31 clones) from 7 out of a possible 9 immune-related pathways.

Table 4.

KEGG pathways identified by B. glabrata ESTs

KEGG categories represented Enzymesa Clonesb
1 Metabolism
1.1 Carbohydrate metabolism
1.1.1 Glycolysis/gluconeogenesis 7 12
1.1.3 Pentose phosphate pathway 4 5
1.1.5 Fructose and mannose metabolism 1 2
1.1.6 Galactose metabolism 2 2
1.1.7 Ascorbate and aldarate metabolism 3 4
1.1.8 Starch and sucrose metabolism 6 12
1.1.9 Aminosugars metabolism 1 1
1.1.11 Pyruvate metabolism 4 5
1.1.12 Glyoxylate and dicarboxylate metabolism 1 1
1.1.13 Propanoate metabolism 2 2
1.1.14 Butanoate metabolism 5 5
1.1.17 Inositol phosphate metabolism 1 1


1.2 Energy metabolism
1.2.1 Oxidative phosphorylation 7 7
1.2.2 ATP synthesis 1 1
1.2.4 Carbon fixation 3 7
1.2.6 Methane metabolism 2 2
1.2.7 Nitrogen metabolism 1 1


1.3 Lipid metabolism
1.3.1 Fatty acid biosynthesis 1 1
1.3.2 Fatty acid elongation in mitochondria 1 2
1.3.3 Fatty acid metabolism 2 2
1.3.4 Synthesis and degradation of ketone bodies 1 1
1.3.6 Bile acid biosynthesis 1 1
1.3.9 Glycerolipid metabolism 1 1
1.3.10 Glycerophospholipid metabolism 2 2


1.4 Nucleotide metabolism
1.4.1 Purine metabolism 6 8
1.4.2 Pyrimidine metabolism 3 4


1.5 Amino acid metabolism
1.5.1 Glutamate metabolism 2 2
1.5.2 Alanine and aspartate metabolism 1 1
1.5.3 Glycine, serine and threonine metabolism 4 6
1.5.4 Methionine metabolism 1 2
1.5.6 Valine, leucine and isoleucine degradation 2 2
1.5.7 Valine, leucine and isoleucine biosynthesis 2 3
1.5.8 Lysine biosynthesis 1 1
1.5.9 Lysine degradation 2 2
1.5.10 Arginine and proline metabolism 5 7
1.5.11 Histidine metabolism 2 3
1.5.12 Tyrosine metabolism 2 3
1.5.13 Phenylalanine metabolism 2 2
1.5.14 Tryptophan metabolism 5 6
1.5.15 Phenylalanine, tyrosine and tryptophan biosynthesis 2 3
1.5.16 Urea cycle and metabolism of amino groups 3 4


1.6 Metabolism of other amino acids
1.6.1 β-alanine metabolism 3 4
1.6.3 Aminophosphonate metabolism 1 2
1.6.4 Selenoamino acid metabolism 1 2


1.7 Glycan biosynthesis and metabolism
1.7.1 N-Glycan biosynthesis 1 1
1.7.3 N-Glycan degradation 1 1
1.7.4 O-Glycan biosynthesis 1 1
1.7.12 Glycosphingolipid metabolism 1 1


1.8 Biosynthesis of polyketides and nonribosomal peptides
1.8.3 Biosynthesis of ansamycins 1 1


1.9 Metabolism of cofactors and vitamins
1.9.3 Vitamin B6 metabolism 2 2
1.9.6 Biotin metabolism 1 1
1.9.7 Folate biosynthesis 3 8
1.9.10 Porphyrin and chlorophyll metabolism 3 4
1.9.11 Ubiquinone biosynthesis 4 4


1.10 Biosynthesis of secondary metabolites
1.10.4 Limonene and pinene degradation 2 2
1.10.6 Stilbene, coumarine and lignin biosynthesis 3 4
1.10.8 Alkaloid biosynthesis I 1 2
1.10.12 Streptomycin biosynthesis 1 1


1.11 Biodegradation of xenobiotics
1.11.4 γ-hexachlorocyclohexane degradation 2 2
1.11.5 3-chloroacrylic acid degradation 1 2
1.11.6 1,1,1-trichloro-2,2-bis(4-chlorophenyl)ethane (DDT) degradation 1 2
1.11.8 1,2-dichloroethane degradation 1 1
1.11.14 Fluorene degradation 2 3
1.11.17 Benzoate degradation via hydroxylation 1 2
1.11.18 Atrazine degradation 1 1
1.11.20 1- and 2-methylnaphthalene degradation 1 2


2 Genetic information processing
2.1 Transcription
2.1.2 RNA polymerase 1 1
2.1.3 Basal transcription factors 2 2


2.2 Translation
2.2.2 Ribosome 20 27
2.2.3 Aminoacyl-tRNA biosynthesis 16 35


2.3 Folding, sorting and degradation
2.3.1 Protein export 2 3
2.3.2 Type II secretion system 1 1
2.3.7 Ubiquitin mediated proteolysis 3 4
2.3.8 Proteasome 7 11


3 Environmental information processing
3.1 Membrane transport
3.1.1 ABC transporters 15 23


3.2 Signal transduction
3.2.1 Two-component system 3 3
3.2.2 MAPK signalling pathway 4 7
3.2.3 Wnt signalling pathway 6 6
3.2.4 Notch signalling pathway 1 1
3.2.6 TGF-β signalling pathway 5 5
3.2.9 Calcium signalling pathway 10 14
3.2.10 Phosphatidylinositol signalling system 2 2


3.3 Signalling molecules and interaction
3.3.1 Neuroactive ligand–receptor interaction 17 20
3.3.2 Cytokine–cytokine receptor interaction 3 3
3.3.3 ECM–receptor interaction 5 7
3.3.4 Cell adhesion molecules (CAMs) 25 36


4 Cellular processes
4.1 Cell motility
4.1.3 Regulation of actin cytoskeleton 15 37


4.2 Cell growth and death
4.2.1 Cell cycle 5 5
4.2.2 Apoptosis 6 11


4.3 Cell communication
4.3.1 Focal adhesion 13 26
4.3.2 Adherens junction 8 16
4.3.3 Tight junction 9 21
4.3.4 Gap junction 6 25


4.4 Endocrine system
4.4.1 Insulin signalling pathway 6 8
4.4.2 Adipocytokine signalling pathway 3 3


4.5 Immune system
4.5.1 Hematopoietic cell lineage 2 2
4.5.2 Complement and coagulation cascades 5 7
4.5.3 Toll-like receptor signalling pathway 1 1
4.5.4 Natural killer cell mediated cytotoxicity 2 2
4.5.6 T cell receptor signalling pathway 2 2
4.5.7 B cell receptor signalling pathway 6 7
4.5.9 Leukocyte transendothelial migration 7 10
4.8 Development
4.8.2 Axon guidance 7 10


4.9 Behaviour
4.9.1 Circadian rhythm 3 7
a

Enzymes—the number of enzymes from each pathway that were identified.

b

Clones—the number of ORESTES clones that identified enzymes.

Table 5.

Summary of KEGG pathways identified by B. glabrata ESTs

Pathways represented Total possible Enzymes identified No. EST clones
Metabolic pathway
1.1 Carbohydrate metabolism 13 17 37 52
1.2 Energy metabolism 5 8 14 18
1.3 Lipid metabolism 7 12 9 10
1.4 Nucleotide metabolism 2 2 9 12
1.5 Amino acid metabolism 15 16 36 47
1.6 Metabolism of other amino acids 3 9 5 8
1.7 Glycan biosynthesis and metabolism 4 19 4 4
1.8 Biosynthesis of polyketides and nonribosomal peptides 1 9 1 1
1.9 Metabolism of cofactors and vitamins 5 11 13 19
1.10 Biosynthesis of secondary metabolites 4 16 7 9
1.11 Biodegradation of xenobiotics 8 21 10 15


67 140 145 195


Genetic information processing
2.1 Transcription 2 3 3 3
2.2 Translation 2 3 36 62
2.3 Folding, sorting and degradation 4 8 13 19
2.4 Replication and repair 0 1 0 0


8 15 52 84


Environmental information processing
3.1 Membrane transport 1 2 15 23
3.2 Signal transduction 7 11 31 38
3.3 Signalling molecules and interaction 4 4 50 66


12 17 96 127


Cellular processes
4.1 Cell motility 1 3 15 37
4.2 Cell growth and death 2 2 11 16
4.3 Cell communication 4 4 36 88
4.4 Endocrine system 2 3 9 11
4.5 Immune system 7 9 25 31
4.6 Nervous system 0 2 0 0
4.7 Sensory system 0 2 0 0
4.8 Development 1 2 7 10
4.9 Behaviour 1 1 3 7


18 28 106 200

4. Discussion

Use of the ORESTES approach generated 1843 ESTs from different tissues and strains of B. glabrata. Only 3.4% of these had been previously characterized in B. glabrata and cluster analysis with other B. glabrata ESTs identified less than 300 clusters of overlapping sequences. Over half of the sequences showed no matches to previously sequenced genes in the non-redundant section of GenBank. Functional analysis of those with sequence similarity to previously characterized genes, using gene ontologies and KEGG assignments identified a number of antioxidant, signalling and transcriptional regulatory genes, molecules that may potentially be involved in snail/parasite interactions, as well as several immune and stress response proteins.

4.1. Antioxidant proteins

Four different genes were identified that were similar to molecules that demonstrate antioxidant functions in other organisms. Peroxinectin (CV548486) is a cell adhesion protein with peroxidase activity, which has been identified in other invertebrates including the crayfish Pacifastacus leniusculus [25], the black tiger shrimp Penaeus monodon [26], Drosophila melanogaster [27] and the white shrimp Litopenaeus vannamei [28], and is a functional equivalent of the vertebrate myeloperoxidase [25,29]. Peroxidasin (CV548777) is a similar protein with peroxidase activity associated with developmental processes in both Drosophila [30] and Xenopus tropicalis [31]. Dual oxidase 1 (Duox1) (CK149203), possesses a peroxidase domain and is thus categorized with antioxidant function; interestingly though, these transmembrane proteins also have a superoxide-generating subunit homologous to glycoprotein p91phox [32], a host defence molecule that generates reactive oxygen species (ROS) [33,34]. Another Duox1 sequence has been identified in B. glabrata [17] but our sequence (CK149203) seems to be a paralog of this gene as it shows no similarity at the nucleotide level with the other sequences (CK989379, CK990069) and did not identify these sequences in BlastN searches, despite all matching the same section of translated protein in tBlastX searches.

4.2. Signalling molecules and transcriptional regulators

Based on our knowledge of other, well-characterised, biological systems, some of the identified signalling molecules and transcriptional regulators play a part in pathways that are likely to be involved in the innate immune response of snails. In a few cases (as described below), functional studies have shown that such signalling pathways contribute to the regulation of molluscan defence reactions.

One clone (EG030744) matched the transcription factor nuclear factor-κB1 (NF-κB1), a p105 NF-κB subunit that is proteolytically processed to yield NF-κB p50 [35]. The NF-κB/Rel transcription factors comprise a family of evolutionarily conserved and structurally related proteins identified in a variety of vertebrates and invertebrates including the beetle Allomyrina dichotoma [36], the sea squirt Ciona intestinalis [37] and the bivalve mollusc Crassostrea gigas [38]. Such transcription factors are central to the NF-κB pathway, a key intracellular pathway that co-ordinates the induction of defence genes in both mammals and Drosophila, and plays a pivotal role in vertebrate and invertebrate innate immunity [39,40]. IκB kinase (IKK) complex associated protein (IKAP) [41] was also identified (EG030742). This protein contains potential IKK association sites and was thus originally thought to play a role in NF-κB signalling by scaffolding the IKK signalsome [41]. Although this now seems unlikely (as discussed in [42]) IKAP seems to associate with stress-activated protein kinase/c-jun NH2-terminal kinase (SAPK/JNK) and regulate its activity in mammals [42]. Activation of SAPK/JNK occurs via the transmission of extracellular stress signals, and aside from the role that this protein plays in processes such as development, apoptosis, and proliferation, it can regulate immune responses in Drosophila [43,44]. Interestingly, SAPK/JNK is activated by recombinant human TNF-α in defence cells (haemocytes) of the bivalve mollusc Mytilus galloprovincialis [45] and, in the present study, we identified a homologue (clones CV548175, CV548723, CV548166, CV548685) of Drosophila JNK interacting protein 1 [46], a scaffold protein that aggregates specific components to form a functional SAPK/JNK signalling module in mammals [47].

Homologues of invertebrate integrin α3 [48] (CK149506), focal adhesion kinase (FAK) [49] (CK656717) and mammalian protein tyrosine kinase Src [50] (CK149232) were also identified. Integrins are a family of heterodimeric, transmembrane adhesion receptors whose ligand specificities are determined by the specific α and β subunits; integrins are crucial to cell adhesion and organisation of the actin cytoskeleton and they serve as important receptors in immune cell responses, cell migration and tissue integrity. Expressed in all metazoans, integrins have been characterized in several invertebrates [51], with β1 integrin subunits reported from haemocytes of the molluscs C. gigas [52] and B. glabrata [53]. Integrins nucleate the formation of focal adhesions and focal complexes and these events rely on the co-ordinated actions of signalling proteins that include FAK and Src. In mammals, integrin clustering is known to lead to autophosphorylation of FAK at Tyr397, FAK then associates with the SH2 domain of Src, which in turn phosphorylates FAK at Tyr925 [54]. In some cell types this can result in downstream signalling to the extracellular signal-regulated kinase (ERK) pathway [55], a signalling module that has been shown to regulate phagocytosis and nitric oxide production in haemocytes from L. stagnalis [56,57]. A recent study has demonstrated that integrin engagement results in increased phosphorylation of a FAK-like protein in L. stagnalis haemocytes and that integrin blockade inhibits phagocytosis and spreading by these cells [58]. Since integrins are also known to regulate cell spreading by haemocytes of B. glabrata [59] it appears that integrin binding is crucial to the defence responses of snails, particularly those involving actin remodelling. Thus, signalling through the identified FAK/Src proteins is likely to regulate such defence reactions, as has been shown in insects [60].

Protein kinase C (PKC) is known to play a role in regulating innate defences in mammals; this has also been documented for snails in which PKC seems to regulate nitric oxide (NO) and hydrogen peroxide (H2O2) production, phagocytosis and cell spreading by haemocytes [56,57,61,62]. In this context, it is interesting that we have now identified homologues of two proteins, activated protein kinase C receptor (RACK) (CK149425, CK149451) from Xenopus [63] and 14-3-3 γ (CO870195) from humans [64], which are known to interact with PKC. RACK has previously been characterized in B. glabrata by other workers [65], however, the nucleotide sequence fragment we identified differs significantly from that previously published, with only three short stretches being identified in a BlastN search with an E value of 3e-5. BlastX searches did identify (amongst other RACK sequences) the amino acid sequence of the previously sequenced B. glabrata RACK, with 89% similarity. Our nucleotide sequence also identified 12 other B. glabrata ESTs with close homology, so it seems likely that we have identified a second gene for RACK. 14-3-3 γ appears to be phosphorylated by PKC and might facilitate signalling to the ERK pathway via Raf [64]. Biomphalaria glabrata RACK might serve to direct the translocation of PKC isoforms to specific cellular compartments as it does in higher organisms [66].

We also identified a homologue of the B (regulatory) subunit of serine threonine protein phosphatase 2A (PP2A) [67] (CV548346), a heterotrimeric holoenzyme that either positively or negatively regulates the activities of wide variety of cellular signal transduction pathways including those involving IKK and ERK discussed above (for reviews see [68,69]). Also of interest are genes that were found to be homologous to those coding for proteins involved in protein kinase A and cAMP signalling, namely: adenylyl cyclase [70] (CV548064), the enzyme that generates the second messenger cAMP; cAMP-specific 3′,5′-cyclic phosphodiesterase (CV548523), an enzyme involved in cyclic nucleotide metabolism [71]; and the type N4 regulatory subunit of PKA [72] (CV548191). These proteins likely play a role in mollusc defence since the catecholamine noradrenaline modulates the phagocytic activity of C. gigas haemocytes via a β-adrenergic receptor-cAMP signalling pathway [73]. Finally, genes were found which matched to those of the transmembrane glycoprotein macrophage mannose receptor [74] (CO870241, CV548367), the Ras-related GTPase protein Rab 21 [75] (CK149518, CK149287) and hemolectin [76] (CV548237, CV548539, CV548566). The macrophage mannose receptor is a phagocytic receptor that targets pathogens such as bacteria and yeast which express mannose-rich glycoproteins [74] and Rab 21 has been recently found to interact with two LIM domain proteins in the slime mould Dictyostelium to collectively regulate phagocytosis [77]. The identified hemolectin showed homology to Drosophila hemolectin which is a major clot constituent in these flies [76].

4.3. Immune and stress response genes

Examination of the gene ontologies revealed 8 immune response genes and 10 response-to-stress genes. Of particular interest are α 2-macroglobulin (α2 M) and Rho-guanine nucleotide-exchange factor 4 (Rho-GEF 4). The identified α2 M (CV548690) is similar to that from the horseshoe crab Limulus polyphemus [78], a proteinase inhibitor similar to mammalian α2 M with broad reactivity towards proteinases; a similar inhibitor with activity towards serine, cysteine and metalloproteinase has been purified from B. glabrata plasma [79]. Such inhibitors could be important to defence, since they may be expressed during the humoral immune response in order to inactivate proteinases produced by invading pathogens [80]. The Rho-GEF 4 homologue (CO870295) was similar to that sequenced in humans [81]. This GEF is operational towards the small GTPases Rho A and Rac 1 and is thought to play a role in cell migration and cell–cell adhesion [82]. Given the universal nature of these cellular processes it is likely that Rho GEF 4 has a similar role in snails and thus may be important in the snail defence response towards pathogens.

5. Conclusions

The genes described above represent a set of those identified that might play important roles in molluscan defence. To eliminate pathogens such as parasites, the molluscan immune system must be able to mount a co-ordinated response to the invading organism, with processes such as cell adhesion and the production of reactive oxygen and nitrogen intermediates being crucial to the outcome of infection. Despite a parasite-mediated interference theory being proposed 25 years ago [83], the precise mechanism(s) by which schistosomes evade the defence response of their snail intermediate hosts remain largely unknown. A recent hypothesis paper has explored the idea that parasites might blunt the defence response of susceptible snails by interfering with key signal transduction pathways in their defence cells [84]; such a strategy could serve to alter gene expression and functional defence responses.

This EST gene discovery project has provided a significant number of genes for the first version of a custom B. glabrata cDNA microarray. A detailed investigation of the transcriptome in response to trematode infection in this snail intermediate host, in order to identify and understand the role of specific genes involved in the snail internal defence system can therefore now be carried out. Thus, we anticipate that through application of the microarray, we will move closer to gaining a comprehensive understanding of snail–schistosome interactions and the complex nature of the biological interplay that exists between snail and schistosome parasite.

Acknowledgements

This work was carried out with funding from the Wellcome Trust (068589/Z/02/Z). We would like to thank Jayne King and Mike Anderson, NHM, for snail and parasite culture and Julia Llewellyn-Hughes and Claire Griffin, NHM, for sequencing assistance. Emmanuel Dias-Neto thanks Associacao Beneficente Alzira Denise Hertzog Silva (ABADHS) for their support to the Laboratory of Neurosciences (LIM27). Cathy Jones was in receipt of a Royal Society of Edinburgh Sabbatical Fellowship whilst co-authoring this article.

Footnotes

Appendix A

Supplementary data associated with this article can be found in the online version at doi:10.1016/j.dci.2006.11.004.

Appendix A. Supplementary Materials

Online Supplementary Materials

mmc1.doc (36.5KB, doc)

Online Supplementary Materials

mmc2.ppt (7.6MB, ppt)

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