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. Author manuscript; available in PMC: 2014 May 5.
Published in final edited form as: Mol Biochem Parasitol. 2009 Oct 27;169(2):79–86. doi: 10.1016/j.molbiopara.2009.10.002

Transcripts analysis of the entomopathogenic nematode Steinernema carpocapsae induced in vitro with insect haemolymph

You-Jin Hao a, Rafael Montiel a,1, Sahar Abubucker b, Makedonka Mitreva b, Nelson Simões a,*
PMCID: PMC4010113  NIHMSID: NIHMS535448  PMID: 19836423

Abstract

Steinernema carpocapsae is an insect parasitic nematode widely used in pest control programs. The efficacy of this nematode in controlling insects has been found to be related to the pathogenicity of the infective stage. In order to study the parasitic mechanisms exhibited by this parasite, a cDNA library of the induced S. carpocapsae parasitic phase was generated. A total of 2500 clones were sequenced and 2180 high-quality ESTs were obtained from this library. Cluster analysis generated a total of 1592 unique sequences including 1393 singletons. About 63% of the unique sequences had significant hits (e≤1e-05) to the non-redundant protein database. The remaining sequences most likely represent putative novel protein coding genes. Comparative analysis identified 377 homologs in C. elegans, 431 in C. briggsae and 75 in other nematodes. Classification of the predicted proteins revealed involvement in diverse cellular, metabolic and extracellular functions. One hundred and nineteen clusters were predicted to encode putative secreted proteins such as proteases, proteases inhibitors, lectins, saposin-like proteins, acetyl-cholinesterase, anti-oxidants, and heat-shock proteins, which can possibly have host interactions. This dataset provides a basis for genomic studies towards a better understanding of the events that occur in the parasitic process of this entomopathogenic nematode, including invasion of the insect haemocoelium, adaptations to insect innate immunity and stress responses, and production of virulence factors. The identification of key genes in the parasitic process provides useful tools for the improvement of S. carpocapsae as a biological agent.

Keywords: Entomopathogenic nematode, Steinernema carpocapsae, EST, Nematode transcripts, Secreted proteins, Virulence factors

1. Introduction

Steinernema carpocapsae (Nemata: Rhabditida) is an entomopathogenic nematode (EPN) produced and commercialized worldwide to control a large number of insect pests with large economical impact [1,2]. This nematode is an obligate parasite completing its entire life cycle in an insect host. The infective juvenile (IJ) is the resistant third juvenile which is encased in a double external cuticle with the digestive tract closed carrying into a specific part of the gut the symbiotic bacterium Xenorhabdus nematophila [3]. IJ moves freely in the environment and is able to localize and contaminate the host in response to different insect cues [4] entering through natural openings, principally anus and mouth. After IJ comes in contact with the insect tissues, it develops a parasitic phase that is able to invade the insect haemocoel and kill susceptible hosts [5].

Though S. carpocapsae is believed to be pathogenic to a large number of insects its efficacy is quite variable. Experimental assays showed that efficacy depends on the target insect and moreover it depends on the specific nematode strain used against each insect [6,7]. These findings support the assumption that the efficacy of S. carpocapsae is related to the efficiency of the parasitic phase in promoting parasitism of the target insect, which includes the ability to overcome insect defences, to invade and produce virulence factors.

Upon contact with the host, the nematode faces the insect defences that are suggested to be highly potent and includes hummoral and cellular effectors like reactive oxygen species [8,9]. It is generally accepted that the nematode has the ability to survive insect defences [5], however, encapsulation have been reported in some species of four insect orders [10], suggesting a host parasite dialog. Pseudalaetia unipuncta larvae exposed to S. carpocapsae are able to develop cellular encapsulation of invasive nematodes, blocking their development and probably the release of the symbiotic bacteria, thus preventing the success of parasitism [11].

The ability of S. carpocapsae to invade insect haemocoelium is demonstrated by the fact that more than 50% of a susceptible insect like Galleria mellonella had nematodes inside 12 h post-exposure [12]. However, in resistant P. unipuncta larvae the number of nematodes in the haemocoelium is reduced (unpublished data). These finds suggest that invasion ability must contribute to the efficacy of these parasites.

In most of the infections caused by S. carpocapsae, susceptible insects died 48–72 h after contamination. Experimentally it has been shown that either the associated bacteria or the axenic nematode are able to kill insects despite the efficacy was reduced when each pathogen was applied individually [12]. The associated bacteria are able to cause a generalized septicaemia and express a large set of toxic factors including enzymes and insecticidal toxins, thereby inducing insect mortality [13,14]. The nematode itself depletes host tissue by feeding also releases toxic factors of peptidic nature that cause insect mortality [1517]. So far the relevance of the toxic factors produced by the nematode is not known, however, it was shown that a strain with low virulence was secreting and excreting less protein with lower proteolytic activity than a high virulence strain [12].

Taken together these findings suggest that nematode parasitic mechanisms are related to the efficacy of these biological agents. Different aspects in host-parasite relationships have benefited from genomic approaches in other parasitic nematodes including the entomopathogenic nematode Heterorhabditis bacteriophora [1820], however, very little is known about the genomics of S. carpocapsae. In this work we constructed a cDNA library with transcripts from the parasitic phase of the nematode and we sequenced and analyzed 2500 ESTs that resulted in the identification of a set of genes that are putatively involved in parasitic mechanisms.

2. Materials and methods

2.1. Induction of nematode parasitic phase

S. carpocapsae (Breton strain) used in this work was grown in an artificial medium according to Bedding [21]. The infective juveniles (IJ) were conserved in tap water for 1 month at 10 °C. To induce recovery of the parasitic phase, IJ were superficially disinfected with 0.5% sodium hypochlorite, rinsed abundantly with sterilized water and transferred to a Petri dish containing 7 ml of the Tyrode's solution with 10% haemolymph of the natural host, G. mellonella larvae. To avoid contamination 1% penicillin-streptomycin-neomycin (Sigma) was added. Nematodes were incubated under agitation at 25 °C for 6 h. These nematodes were harvested in a filter paper, rinsed several times with sterilized water and immediately used for RNA extraction.

2.2. cDNA library construction

Total RNA was extracted using Trizol reagent following the manufacturer's recommendations (Invitrogen). The cDNA library was constructed from total RNA using SMART approach (BD Biosciences, Clontech). Briefly, first-strand cDNA synthesis was performed with total RNA in 10 μl of final volume and 100 units of PowerScript reverse transcriptase. All other components as well as the conditions of reaction were in accordance with the recommendations of the supplier. First-strand cDNA was amplified by PCR with Advantage 2 polymerase mix (BD Biosciences, Clontech) using 5′ PCR primer and CDS III/3′ PCR primer. Amplified cDNA was purified with YorBio PCR purification kit (Yorkshire Bioscience Ltd., UK). cDNA library normalization was performed using the Trimmer kit (Invitrogen) to correct for over abundance of highly expressed transcripts according to supplier instructions. Fifty micrograms of ds-cDNA were treated with protease K, digested with Sfi restriction endonucleases and fractionised on CHROMA SPIN-400 columns. cDNA was ligated to pDNR-LIB (CmR) vector digested with Sfi. The product of ligation was then transformed into 2 ml of XL10-Gold KanR (Stratagene) electrocompetent cells prepared in YorBio. Titre was determined by plotting the pooled transformants on LB agar plates supplemented with chloramphenicol (30 μg/ml), incubated at 37 °C over night and colony forming units were counted.

2.3. Plasmid isolation and DNA sequencing

Clones were transferred to LB medium with 50 μg/ml chloramphenicol and grown for 20 h prior to plasmid isolation. Plasmid DNA was isolated from 2500 randomly selected clones using JETQUICK Plasmid Purification Spin Kit (Genomed, Germany). Sequencing was performed using M13 forward primer in STABVIDA facilities service.

2.4. EST processing, contig assembly and analysis

Vector sequences, adapter regions, and poly(A) tails were trimmed. High-quality ESTs (at least 100bp) were then assembled into clusters of contiguous sequences and subsequently into clusters as previously described [22]. The consensus sequences of contigs and singletons comprised the unique sequences, which were compared against the National Center for Biotechnology Information (NCBI) non-redundant protein database using BLASTx [23] (E-value cut-off E≤ 1e−05) and summarized on cluster level.

2.5. Gene ontology annotation

Gene ontology annotation was performed using BLASTx through NCBI with the unique sequences (consensus sequences of assembled contigs and the singletons). Sequences with BLASTx hits were annotated according to gene ontology terms (GO) using Blast2GO software [24]. Hits with E>1e−05 were discarded. The remaining hits were grouped by organism. To assign putative functions to the unique sequences, the GO hierarchical terms of homologous genes from the Interpro protein databases were extracted. In addition, the unique sequences with homologs to enzymes participating in metabolic pathways were mapped in accordance with the Kyoto Encyclopedia of Genes and Genomes (KEGG). Enzyme commission (EC) numbers were acquired for the unique sequences by WU-BLASTx searching (E≤ 1e−05) the KEGG database (v43) [25]. The EC numbers were then used to putatively map unique sequences to specific biochemical pathways.

2.6. Secreted protein identification

All ESTs were conceptually translated into peptides. Secreted proteins were predicted using a combination of programs, to minimize the number of false positive predictions. Firstly, a WoLF PSORT analysis (http://wolfpsort.org/) [26] was performed to predict the sub-cellular localization. Blast analysis was then conducted on the NR database at NCBI to identify similarity and to evaluate the probability for secretion. Only ESTs that contained the N-terminal sequence were analyzed using SignalP prediction (http://www.cbs.dtu.dk/services/SignalP/) [27]. A signal sequence was considered present when it was predicted both by the artificial neural network and the hidden Markov model prediction approaches (SignalP-NN and SignalP-HMM, available as options within SignalP).

3. Results and discussion

3.1. Overview of ESTs sequence analysis

The cDNA library was constructed with the transcripts of the parasitic phase of S. carpocapsae induced for 6 h with insect haemolymph in vitro. After normalization of this library a total of 2500 ESTs were sequenced producing 2354 readable sequences representing 94.6% success rate. After removal of clones with poor quality or short inserts (100 bp cut-off) 2180 high-quality ESTs were produced with an average length of 563±246 bp. The cumulative length of all high-quality EST sequences was 1,227,707 bases. Assembling the 2180 ESTs resulted in 1592 unique transcripts consisting in 199 contigs (787 ESTs) and 1393 singletons. The average length of each unique transcript was 575±259 bp, a total length of 915,881 bases that represents about 0.4% of the entire S. carpocapsae genomic DNA [28]. One hundred and twenty-four of the 199 contigs contained 2 ESTs (62.3%), 29 contained 3 ESTs (14.6%), 19 contained 4 ESTs, 10 contained 5 ESTs and the remaining 17 contained 6–18 ESTs. Clearly most of the contigs were formed by a reduced number of ESTs, thus reflecting efficiency in normalization and subtraction.

BLASTx analysis against the non-redundant (NR) protein sequences in GenBank indicated that 999 (62.8%) of the unique transcripts had significant match to known proteins, whereas the remaining 593 had no significant matches (E>1e−05) in publicly available databases, probably representing new genes. 6.4% of the hits had an E-value of 1e−100, 66.1% between 1e−20 and 1e−99, and 27.5% between 1e−19 and 1e−05. Comparative analysis with other complete and partial nematoda genomes revealed that 37.7% clusters have identities in C. elegans (Additional file 1), which is the most well-characterized nematode in many respects, particularly in its genome, genetics, biology, physiology, and biochemistry. Moreover 51.5% of these homologs correspond to C. elegans genes that have been silenced by RNAi (Additional file 3), thus providing useful information on function of the orthologous genes in S. carpocapsae [2931]. 43.1% clusters had identities in C. briggsae and 7.5% in other nematodes (Additional files 2 and 3).

3.2. Annotation and functional classification

Transcripts were categorized by functions based on the gene ontology (GO) classification (www.geneontology.org). Inter-ProScan (ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan) was used to match S. carpocapsae clusters to protein domains and subsequently to the three organizing principles of the GO hierarchy(Fig. 1 and Additional file 4). Of the 999 NR hits, 842 (84.3%) clusters matched InterPro domains, and 995 (99.6%) mapped to GO. Complete listing of S. carpocapsae assignments can be viewed through the AmiGo browser at http://www.nematode.net [32].

Fig. 1.

Fig. 1

Gene ontology (GO) mapping for Steinernema carpocapsae clusters by biological process (A), cellular component (B), and molecular function (C). There were 444, 295 and 576 unique clusters that mapped to the three categories, respectively. (For details see Additional file 1. Notice that individual categories can have multiple mappings resulting in a sum greater than 100%.)

Unique sequences with best matches to EC numbers were also assigned to a specific KEGG pathway, as an alternative functional classification. These sequences were classed into 11 functional categories (Table 1 and Additional file 5). Carbohydrate metabolism (14.4%), amino acid metabolism (9.6%), and cofactors and vitamins metabolism (9.6%) are the best-represented pathways. Complete listing of all KEGG mappings including graphical representation is available at http://www.nematode.net [32].

Table 1.

KEGG biochemical pathway mapping for S. carpocapsae clusters.

KEGG categories Unique No. of clusters Unique No. of enzymes No. of ESTs Representative level (%)a
1.1 Carbohydrate metabolism 229 126 488 14.38
1.2 Energy metabolism 77 50 113 4.84
1.3 Lipid metabolism 115 89 274 7.22
1.4 Nucleotide metabolism 126 45 190 7.91
1.5 Amino acid metabolism 153 149 367 9.61
1.6 Metabolism of other amino acids 56 41 73 3.52
1.7 Glycan biosynthesis and metabolism 91 28 146 5.72
1.8 Biosynthesis of polyketides and nonribosomal peptides 48 8 64 3.02
1.9 Metabolism of cofactors and vitamins 152 66 196 9.55
1.10 Biosynthesis of secondary metabolites 80 49 147 5.03
1.11 Xenobiotics biodegradation and metabolism 97 48 257 6.09
a

The representative level (%) was calculated from [(number of clusters/total number of clusters)×100%].

3.3. Transcripts analysis

Table 2 summarizes the most representative clusters found in the analyzed transcripts, comprising genes encoding ribosomal proteins, elongation factor 1-gamma, cytochrome c oxidase subunit I and III, to list a few, which have been also identified as the most abundant transcripts in other nematode EST projects [22,33]. Ribosomal proteins have been shown to play roles in stress tolerance in yeasts, plants and nematodes [3436]. Cluster SC00194.cl with 10 ESTs had significant identity to lysine-rich arabinogalactan protein 18 precursor in Arabidopsis thaliana [37,38]. So far, arabinogalactan protein in nematodes has only been reported in the plant nematode Heterodera schachtii [39]. Genes encoding anti-oxidant factors such as glutathione S-transferase (cluster SC00184.cl) and an oxidation resistance protein (cluster SC00193.cl) were identified. Anti-oxidant factors had been reported in several parasitic nematodes playing important roles by counteracting ROS produced by host [18,40,41].

Table 2.

The most abundant transcripts in S. carpocapsae cDNA library.

Cluster Number of ESTs Accession E-Value Identity (%) Description Organism
SC00199.cl 19 YP_026087 4.8e−193 91.9 Cytochrome c oxidase subunit I S. carpocapsae
SC00198.cl 17 CAE70046 6.00e−123 61 Hypothetical protein CBG16478 C. briggsae
SC00197.cl 16 XP_518669 6.00e−120 72 Similar to ribosomal protein L3 Pan troglodytes
SC00196.cl 13 CAE56763 1.3e−93 94.6 Hypothetical protein CBG24566 C. briggsae
SC00195.cl 10 NP_741371 2.9e−89 67.8 Ribosomal protein (rpl-7A) C. elegans
SC00194.cl 10 NP_568027 1.9e−06 40 Arabinogalactan protein 18 A. thaliana
SC00193.cl 10 NP_505175 2.9e−09 65.1 F52E1.13b/Oxidation resistance protein C. elegans
SC00192.cl 11 ABK80760 9.8e−38 87.9 60S ribosomal protein L37a Dictyocaulus viviparus
SC00184.cl 8 CAE75137 4.7e−73 57.4 Glutathione S-transferase C. briggsae
SC00191.cl 8 No hit
SC00190.cl 7 XP_395309 9.6e−117 Similar to nop5 CG10206-PA Apis mellifera
SC00150.cl 10 CAE74467 5.1e−65 60.7 Hypothetical protein CBG22213 C. briggsae
SC00187.cl 8 No hit
SC00186.cl 7 NP 957146 8.5e−66 85.3 Ribosomal protein S9 Danio rerio
SC00183.cl 7 CAA21030 1.6e−20 69.5 Hypothetical protein Y39A1A.21a C. elegans
SC00182.cl 6 YP_026085 6.2e−100 93 Cytochrome c oxidase subunit III S. carpocapsae
SC00189.cl 5 AAK95186 3.7e−45 81.5 40S ribosomal protein S4 Ictalurus punctatus
SC00181.cl 5 CAE73419 2.9e−37 78.7 Hypothetical protein CBG20862 C. briggsae
SC00180.cl 5 YP_026084 2.8e−166 92.6 Cytochrome b S. carpocapsae
SC00179.cl 6 CAE62570 1.5e−50 69. Transthyretin-like family C. briggsae
SC00178.cl 5 NP_490676 2.2e−79 72.4 Ribosomal Protein, Large subunit family member (rpl-7) C. elegans
SC00139.cl 8 ABY74341 2.00e−29 34 Trypsin-like serine protease S. carpocapsae
SC00176.cl 5 ABR87485 1.5e−82 80 Small subunit ribosomal protein 8 Koerneria sp. RS1982
SC00175.cl 8 EDP32835 2.00e−102 71 60S ribosomal protein L5 B. malayi
SC00174.cl 5 No hit
SC00173.cl 6 CAE58485 9.0e−44 49 Hypothetical protein CBG01629 C. briggsae

Cluster SC00179.cl encodes for transthyretin-like protein (ttl), which is one of the abundant nematode-specific domains [34]. Nematode ttl protein was described in the free-living nematodes C. elegans [42], in the plant parasitic nematode Radopholus similis and in the animal parasitic nematode B. malayi [43,44]. However, the number of ttl-ESTs available in public databases is higher in parasitic nematodes, particularly in libraries constructed from the parasitic phase, than in free-living nematodes, thus suggesting its involvement in parasitism.

Cluster SC00139.cl is another abundant cluster and matches trypsin-like serine protease from S. carpocapse. Serine proteases are the major proteolytic enzymes expressed by parasitic nematodes and are frequently suggested to be involved in host–parasite interactions [45].

Finally, 3 clusters with no significant similarity with any sequence in the non-redundant protein database were identified. These last clusters have a GC content of 31.2% which is different from that of 50.6% found in sequences that have homology, thus indicating they are probably part of new genes specific to S. carpocapsae.

3.4. Secretome analysis

Based on a combination of different programs, 119 unique sequences were predicted encoding putative secreted proteins in the present dataset (Additional file 6). Seventy-four putative secreted proteins had similarity to known proteins in the NCBI database, 35 had similarity in C. elegans, 23 in C. briggsae, 14 in B. malayi, 10 in S. carpocapsae and 10 in other plant and/or animal parasitic nematodes. Twenty-eight of putative secreted proteins matched hypothetical proteins and 18 had no similarity to any sequences available in current databases.

Proteases are the most represented among the predicted secreted proteins identified in S. carpocapsae ESTs (Table 3). Nine clusters were identified with homology to diverse serine proteases including trypsine-like and elastases. At present two serine proteases were purified from the secreted–excreted products of the parasitic phase of S. carpocapsae that were shown to be interacting with insect host defences and with insect mid-gut cells, thus probably helping in the parasitic process [46,47]. Also an elastase-like serine protease was up-regulated in the parasitic phase of this nematode [48]. Five clusters had similarity with members of the metalloprotease family. This protease family has been suggested to be involved in the hydrolysis of extracellular matrix components like type I collagen [49]. The cluster SC00878.cl has a particularly interesting match to metridin-like ShK toxin domain (SMART accession number: SM0254). This toxin domain was first identified in a family of sea anemone potassium channel toxins [50] although a search on GenBank reveals the presence of this toxin domain in a wide variety of organisms including C. elegans and C. briggsae. Five aspartic proteases and 3 putative cysteine proteases belonging to family C1 papain-like with homologs in C. elegans were also identified. Aspartic proteases have been identified in other parasitic nematodes and suggested to be participating in tissue invasion and in extracellular protein digestion [5153], whereas cysteine proteinases have been implicated in invasion, tissue destruction, anticoagulation, nutrition, and immune evasion in many helminths [54].

Table 3.

Proteins predicted with a potential role in S. carpocapsae parasitism.

Cluster Residues Start SP E-Value AA-identity (%) Accession Homology Organism
Serine-type peptidases
 SC00074.cl 205 4.00e−118 199/199 (100%) ABY74341 Trypsin-like serine protein S. carpocapsae
 SC00145.cl 201 14 2.00e−96 168/201 (83%) ABY74341 Trypsin-like serine protein S. carpocapsae
 SC00177.cl 202 M 16 4.00e−21 61/176 (34%) ABY74341 Trypsin-like serine protease S. carpocapsae
 SC00306.cl 236 M 16 1.00e−40 95/230 (41%) ABI18379 Elastase precursor S. carpocapsae
 SC00808.cl 268 2.00e−81 169/263 (64%) ABI18379 Elastase precursor S. carpocapsae
 SC01033.cl 99 2.00e−18 42/62 (67%) ABI18379 Elastase precursor S. carpocapsae
 SC00590.cl 248 4.00e−07 29/57 (50%) CAE61256 Peptidase_S10/Serine carboxypeptidase C. briggsae
 SC00993.cl 273 M 18 9.00e−104 174/276 (63%) CAA88947 Peptidase_S10/Serine carboxypeptidase C. elegans
 SC01031.cl 99 2.00e−20 48/80 (60%) P52715 Serine carboxypeptidase F13S12.6 precursor C. elegans
Metallopeptidases
 SC00974.cl 248 100e−118 206/256 (80%) EDP34514 Metallopeptidase family C. briggsae
 SC00777.cl 207 1.00e−35 82/205 (40%) XP_001633564 Similar to zinc metalloprotease Nematostella vectensis
 SC01262.cl 872 M 1.00e−79 142/240 (59%) NP_509528 Metalloprotease C. elegans
 SC01069.cl 280 4.00e−105 179/259 (69%) XP_001902361 Zinc carboxypeptidase family protein C. briggsae
 SC00878.cl 104 4.00e−17 41/65 (63%) CAE61804 Astacin-like metalloprotease with metridin-like ShK toxin domain C. briggsae
Aspartic-type peptidases
 SC00110.cl 393 M 15 1.00e−98 179/284 (63%) CAE72985 Aspartyl protease family member (asp-1) C. briggsae
 SC00113.cl 210 17 3.00e−63 122/207 (58%) CAE58212 Aspartyl protease family member C. briggsae
 SC00155.cl 229 M 21 1.00e−50 109/204 (53%) AAO25989 Aspartyl protease protein 2 C. elegans
 SC01368.cl 197 3.00e−53 106/198 (53%) AAO25989 Aspartyl protease protein 2, isoform a C. elegans
 SC01223.cl 169 2.00e−51 95/166 (57%) AAO25989 Aspartyl protease family member (asp-2) C. elegans
Cysteine-type peptidases
 SC00304.cl 97 3.00e−45 82/97 (84%) NP_507199 Cathepsin L cysteine proteinase C. elegans
 SC00750.cl 199 4.00e−15 46/121 (38%) CAJ58500 Cathepsin L cysteine proteinase C. elegans
 SC01394.cl 196 2.00e−50 94/156 (60%) NP_506318 Cathepsin X C. elegans
Serine proteases inhibitors
 SC00031.cl 231 8.00e−21 45/90 (50%) AAA92314 Trypsin Inhibitor C. elegans
 SC00230.cl 125 18 8.00e−16 31/63 (49%) CAE59191 Trypsin Inhibitor C. elegans
 SC00121.cl 222 M 20 5.00e−05 48/143 (33%) AAA92314 Inhibitor of serine protease like protein C. elegans
 SC00324.cl 251 23 5.00e−23 63/216 (29%) ABY28279 Serpin protein 7, isoform d C. elegans
 SC01506.cl 76 3.00e−04 30/79 (37%) AAZ38762 Serine protease inhibitor 1 D. immitis
 SC00861.cl 192 4.70e−13 43/113 (38%) AAI02748 Serpin peptidase inhibitor, clade C (antithrombin), member 1 Bos taurus
 SC01586.cl 80 M 22 2.00e−04 24/71 (33%) CAL36507 Trypsin Inhibitor like cysteine rich domain C. elegans
 SC00959.cl 133 M 16 3.00e−08 48/130 (36%) CAE72085 Inhibitor of serine protease like protein 2 C. briggsae
 SC01464.cl 215 1.00e−50 103/246 (41%) NP_497206 BPTI/Kunitz family of serine protease inhibitors. C. elegans
 SC00107.cl 184 M 19 2.00e−13 54/162 (33%) CAE64052 BPTI/Kunitz family of serine protease inhibitors C. briggsae
Cysteine protease inhibitor
 SC00022.cl 104 M 18 9.00e−06 28/93 (30%) CAK50389 Cystatin-like peptide A. simplex
 SC00262.cl 92 1.00e−16 40/90 (44%) ABI18378 Cysteine protease inhibitor precursor S. carpocapsae
 SC00822.cl 72 1.00e−56 108/111 (97%) ABI18378 Cysteine protease inhibitor precursor S. carpocapsae
Other known proteins
 SC0061.cl 285 4.00e−125 206/281 (73%) ABQ58117 Acetylcholinesterase 1 Ditylenchus destructor
 SC00553.cl 62 2.00e−90 152/216 (70%) ABQ58115 Acetylcholinesterase 3 D. destructor
 SC00758.cl 264 9.00e−91 152/216 (70%) ABQ58115 Acetylcholinesterase 3 D. destructor
 SC01570.cl 218 3.00e−28 69/175 (39%) AAA96175 Acetylcholinesterase precursor (AChE) C. elegans
 SC00081.cl 146 6.00e−05 26/72 (36%) AAR06853 C-type lectin-3 Bitis gabonica
 SC00475.cl 188 5.00e−25 60/145 (41%) BAA09794 Galectin C. elegan
 SC00938.cl 164 5.00e−35 77/163 (47%) NP_504629 Legume lectin C. elegans
 SC00949.cl 227 M 15 9.00e−82 151/214 (70%) BAB11971 Galectin LEC-5 C. elegans
 SC01309.cl 144 1.00e−57 103/144 (71%) EDP34209 Lectin C-type domain containing protein B. malayi
 SC00264.cl 161 1.00e−34 79/161 (49%) CAD20464 Fatty acid retinoid binding protein(Gp-FAR 1) Ostertagia ostertagi
 SC00336.cl 164 M 22 4.00e−37 77/160 (48%) AAA98565 Fatty acid-binding protein homolog precursor Ascaris suum
 SC00346.cl 93 M 19 3e−06 33/98 (33%) AAP80379 Saposin-like Entamoeba invadens
 SC00926.cl 257 M 17 2e−59 102/220 (46%) EDP31692 Saposin-like type B B. malayi
 SC00377.cl 173 8e−28 61/164 (37%) NP_499625 CD36 C. elegans

SP, length of the signal peptide; M, putative start codon.

Ten clusters were identified encoding proteins with similarity to serine protease inhibitors and 3 clusters were identified as homologs to cystatins, one of which (SC00822.cl) had very high homology to S. carpocapsae. Cystatin has been reported to be up-regulated in the parasitic phase of this nematode [55]. Parasite-derived protease inhibitors are recognized to play a variety of roles in the survival of the parasite by modulating exogenous host proteases [5659].

Other clusters found related to parasitism were lectins (5 clusters) and acetylcholinesterase (4 clusters). Lectins and AchE are speculated to play important roles in immunomodulation, namely in nematodes inhabiting alimentary tract [6063].

Cluster SC00264.cl had 49% similarity to a fatty acid retinoid binding protein (FAR) inthenematode O. ostertagi. FARs are thought to be involved in host–parasite interactions and were also described in the animal parasitic nematodes A. caninum and B. malayi and in the plant parasitic nematode Globodera pallida [6466].

Two clusters (SC00346.cl and SC00926.cl) sharing homology to saposin-like protein in Entamoeba invadens and B. malayi, were interesting. The saposin-like protein family comprises pore-forming peptides, which have been identified in a variety of organisms including the secreted products of blood-feeding nematodes H. contortus and A. caninum [67,68]. In C. elegans, a family comprising 29 genes of saposin-like protein and saposin-like domain containing protein has been identified. The gene spp-1 in this family (Gene ID: T07C4.4) was expressed as a recombinant in E. coli and proved to have antibacterial activity [69]. The genes spp-1 and spp-7 in the same family were reported to belong to the innate defence system of C. elegans [70]. In S. carpocapsae saposin-like proteins could potentially be involved in the modulation of monoxenic relation with the symbiotic bacteria.

3.5. Stress-related proteins

Twenty-six clusters encoding different families of heat-shock proteins (HSPs) were identified in the present transcripts analysis, including transcripts of 90, 70, 60, 40 and 20kDa, alpha-crystallin-type heat-shock proteins, heat-shock factor DnaJ and TCP, and binding proteins (Table 4). HSPs are known to be expressed in response to stress conditions including those caused by hosts in parasites [71]. In Steinernema species Hsp40 expression was reported to be related to desiccation tolerance of infective juveniles [72].

Table 4.

Stress-related proteins predicted in S. carpocapsae cDNA library.

Cluster E-Value AA-identity (%) Accession Homology Organism
Heat-shock proteins
 SC00399.cl 5.00e−108 197/261 (75%) CAE62006 Hsp90 C. briggsae
 SC00159.cl 0 393/479 (82%) CAA06694 Hsp90 Brugia pahangi
 SC00101.cl 1.00e−57 114/190 (60%) CAE57585 Hsp70 C. briggsae
 SC00487.cl 4.00e−43 86/105 (81%) XP_001900197 Hsp70 B. malayi
 SC01254.cl 4.00e−60 118/235 (50%) EDP32131 Hsp70 B. malayi
 SC00108.cl 6.00e−16 45/74 (60%) P11141 Hsp70F C. elegans
 SC00573.cl 3.00e−123 226/234 (96%) AAN78300 Hsp70A Heterodera glycines
 SC00696.cl 3.00e−95 175/211 (82%) NP_741117 Hsp60 C. elegans
 SC01475.cl 5.00e−69 127/169 (75%) AAM81355 Hsp40 Steinernema feltiae
 SC01199.cl 2.00e−41 82/147 (55%) EAT45096 Hsp40 Aedes aegypti
 SC00870.cl 2.00e−13 44/94 (46%) XP_001604538 Hsp20 Nasonia vitripennis
 SC00570.cl 1.00e−08 35/104 (33%) XP_001668479 Hsp alpha-crystallin-type C. briggsae
 SC01013.cl 6.00e−07 33/109 (30%) CAB03380 Hsp alpha-crystallin-type C. elegans
 SC01415.cl 7.00e−17 50/102 (49%) EDP38262 Hsp20/alpha-crystallin-type B. malayi
Heat-shock protein factors
 SC01220.cl 2.00e−85 167/212 (78%) CAE59760 Chaperonin TCP-1 C. briggsae
 SC0696.cl 9.00e−96 176/212 (83%) NP_741117 Chaperonin TCP-1 family member (cct-5) C. elegans
 SC00332.cl 2.00e−128 226/280 (80%) EDP36116 Chaperonin TCP-1 family, delta subunit B. malayi
 SC00013.cl 4.00e−17 44/71 (61%) EDS36116 Heat-shock factor binding protein 1 Culex quinquefasciatus
 SC01199.cl 2.00e−41 82/147 (55%) EAT45096 DNA-J/hsp40 A. aegypti
 SC00151.cl 1.00e−64 147/331 (44%) NP_501006 DNaJ domain family member (dnj-11) C. elegans
 SC00443.cl 8.00e−86 145/203 (71%) EDP35424 DnaJ homolog subfamily B member 11 precursor B. malayi
 SC00484.cl 3.00e−91 174/276 (63%) EDP36388 DnaJ homolog subfamily B member 4 B. malayi
 SC01136.cl 3.00e−56 109/205 (53%) NP_502126 DNaJ domain family member (dnj-2) C. elegans
 SC00534.cl 4.00e−66 118/157 (75%) CAE60769 Heat-shock chaperonin binding C. briggsae
 SC00406.cl 8.00e−45 89/145 (61%) EDP30208 DnaJ domain containing protein B. malayi
 SC00059.cl 3.00e−14 54/131 (41%) XP_001900052 DnaJ domain containing protein B. malayi
Oxidative defense proteins
 SC00558.cl 7.00e−94 164/194 (84%) AAT28331 Peroxiredoxin H. contortus
 SC01235.cl 9.00e−76 136/179 (75%) CAE70206 Thioredoxin-like C. briggsae
 SC01524.cl 2.00e−58 110/222 (49%) CAE59167 Glutathione S-transferase (C-terminal-like) C. briggsae
 SC00131.cl 2.00e−28 103/206 (50%) XP_976145 Glutathione S-transferase Tribolium castaneum
 SC00359.cl 1.00e−15 55/146 (37%) XP_001599411 Similar to Glutathione S-transferase N. vitripennis

In S. carpocapsae parasitic transcripts, thioredoxin oxidase, glutathione S-transferase and peroxiredoxin were also predicted. Anti-oxidant proteins of parasitic nematodes have been suggested to be involved in protection against reactive oxygen and nitrogen species generated by the host immune responses [7376].

4. Conclusions

This study presents the first analysis of cDNA transcripts expressed in the parasitic phase of the entomopathogenic nematode S. carpocapsae. Though most of the genes identified were predicted to encode products involved in metabolic activities, a significant number of genes are putatively related to pathogen–host interactions. Putative secreted proteins that could act as virulence factors against insects are part of these parasitism-related genes. Among these are proteases belonging to serine, cysteine, aspartic and metalloproteases families are hypothesised to be participating in invasion of the host and evasion from the host defences. Protease inhibitors were also identified and are suggested to be interacting with host defences. Other identified proteins such as lectins and AchE have a role in immunomodulation and saposin–like proteins are suggested to have antimicrobial activity. Moreover, a large number of expressed genes were related to stress survival revealing the high investment of this specific phase of the nematode to adapt to the conditions imposed by the host.

About 32% of transcripts analyzed had no homology with any known gene in publicly databases. These genes probably are unique to this nematode and likely related to its particular way of life characterized by the alternation of a symbiotic with a parasitic phase. This EST collection opens new avenues in improving the efficacy of entomopathogenic nematodes for pest control by the use of recombinant DNA. It also represents a significant addition to the existing EST resources of nematode species, and serves as a valuable tool for functional genomic analysis.

Supplementary Material

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Acknowledgments

We thank Duarte Toubarro, Gisela Nascimento, Ricardo Gamboa, Mafalda Raposo, Ana Judite, Natesan Bala, and Bruno Correia from CIRN, for helping with plasmid extraction. We thank John Martin and Yong Yin for the contribution of some of the PERL algorithms used in the Mitreva lab. John Martin is also thanked for the preparation of EST sequences for Genbank submission. YJH and RM are FCT fellowship recipients (SFRH/BDP/21079/2004 and SFRH/BPD/32473/2006, respectively). This project was financed by DRCT—Açores (Medida 1.1.1/I/005/2005) and by Fundação para a Ciência e Tecnologia (POCI/AGR/56300/2004).

Footnotes

Note: Nucleotide sequence data reported in this paper are available in GenBank under accession numbers GR977153–GR979332.

Appendix A. Supplementary data: Supplementary data associated with this article can be found, in the online version, at doi:10.1016/j.molbiopara.2009.10.002.

Contributor Information

You-Jin Hao, Email: nkhyjin@hotmail.com.

Rafael Montiel, Email: montiel@ira.cinvestav.mx.

Sahar Abubucker, Email: sabubuck@watson.wustl.edu.

Makedonka Mitreva, Email: mmitreva@watson.wustl.edu.

Nelson Simões, Email: simoes@uac.pt.

References

  • 1.Smart GC. Entomopathogenic nematodes for the biological control of insects. J Nematol. 1995;27:529–34. [PMC free article] [PubMed] [Google Scholar]
  • 2.Lacey LA, Shapiro DI. Microbial control of insect pests in temperate orchard systems: potential for incorporation into IPM. Annu Rev Entomol. 2008;53:121–44. doi: 10.1146/annurev.ento.53.103106.093419. [DOI] [PubMed] [Google Scholar]
  • 3.Martens EC, Goodrich-Blair H. The Steinernema carpocapsae intestinal vesicle contains a subcellular structure with which Xenorhabdus nematophila associates during colonization initiation. Cell Microbiol. 2005;7:1723–35. doi: 10.1111/j.1462-5822.2005.00585.x. [DOI] [PubMed] [Google Scholar]
  • 4.Grewal PS, Lewis EE, Gaugler R, Campbell JF. Host finding behavior as a predictor of foraging strategy in entomopathogenic nematodes. Parasitology. 1994;108:207–15. [Google Scholar]
  • 5.Akhurst RJ, Dunphy GB. Tripartite interactions between symbiotically associated entomopathogenic bacteria, nematodes, and their insect hosts. In: Beckage N, Thompson S, Frederici B, editors. Parasites and pathogens of insects. Vol. 1. New York: Academic Press; 1993. pp. 1–23. [Google Scholar]
  • 6.Klein MG. Efficacy against soil-inhabiting insect pests. In: Gaugler R, Kaya H, editors. Entomopathogenic nematodes in biological control. Vol. 10. Boston: CRC Press; 1990. pp. 195–214. [Google Scholar]
  • 7.Begley JW. Efficacy against insects in habitats other than soils. In: Gaugler R, Kaya H, editors. Entomopathogenic nematodes in biological control. Vol. 11. Boston: CRC Press; 1990. pp. 215–31. [Google Scholar]
  • 8.Schmid-Hempel P. Evolutionary ecology of insect immune defenses. Annu Rev Entomol. 2005;50:529–51. doi: 10.1146/annurev.ento.50.071803.130420. [DOI] [PubMed] [Google Scholar]
  • 9.Lemaitre B, Hoffmann J. The host defense of Drosophila melanogaster. Annu Rev Immunol. 2007;25:697–743. doi: 10.1146/annurev.immunol.25.022106.141615. [DOI] [PubMed] [Google Scholar]
  • 10.Dowds BA, Peters A. Virulence mechanisms. In: Gaugler R, editor. Entomopathogenic nematology. Vol. 4. New York: CABI; 2000. pp. 79–98. [Google Scholar]
  • 11.Cruz N, Rosa JS, Simões N. Encapsulation response of 6th instar of Pseudaletia unipuncta (Lepidoptera: Noctuidae) to Steinernema carpocapsae (Nematoda: Steinernematidae) J Invertebr Pathol. 2001;78:272–4. doi: 10.1006/jipa.2001.5033. [DOI] [PubMed] [Google Scholar]
  • 12.Simões N, Caldas C, Rosa JS, Bonifassi E, Laumond C. Pathogenicity caused by high virulent and low virulent strains of Steinernema carpocapsae to Galleria mellonella. J Invertebr Pathol. 2000;75:47–54. doi: 10.1006/jipa.1999.4899. [DOI] [PubMed] [Google Scholar]
  • 13.Forst S, Dowds B, Boemare N, Stackebrandt E. Xenorhabdus and Photorhabdus spp: bugs that kill bugs. Annu Rev Microbiol. 1997;51:47–72. doi: 10.1146/annurev.micro.51.1.47. [DOI] [PubMed] [Google Scholar]
  • 14.Sergeant M, Jarrett P, Ousley M, Morgan JA. Interactions of insecticidal toxin gene products from Xenorhabdus nematophilus PMFI296. Appl Environ Microbiol. 2003;69:3344–9. doi: 10.1128/AEM.69.6.3344-3349.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Boemare N, Laumond C, Luciani J. Mise en évidence d'une toxicogenése provoquée par le nematode axénique entomophague Neoaplectana carpocapsae Weiser chez I'insect axénique Galleria mellonella. Acad Sci Ser D. 1982;295:543–6. [Google Scholar]
  • 16.Burman M. Neoaplectana carpocapsae: toxin production by axenic insect parasitic nematodes. Nematologica. 1982;28:62–70. [Google Scholar]
  • 17.Laumond C, Simões N, Boemare N. Toxins of entomoparasitic nematodes. Pathogenicity of Steinernema carpocapsae—prospectives of genetic engineering. C R Acad Agric France. 1989;75:135–8. [Google Scholar]
  • 18.Sandhu SK, Jagdale GB, Hogenhout SA, Grewal PS. Comparative analysis of the expressed genome of the infective juvenile entomopathogenic nematode, Heterorhabditis bacteriophora. Mol Biochem Parasitol. 2006;145:239–44. doi: 10.1016/j.molbiopara.2006.01.002. [DOI] [PubMed] [Google Scholar]
  • 19.Bai X, Grewal PS, Hogenhout SA, et al. Expressed sequence tag analysis of gene representationin insect parasitic nematode Heterorhabditis bacteriophora. J Parasitol. 2007;93:1343–9. doi: 10.1645/GE-1246.1. [DOI] [PubMed] [Google Scholar]
  • 20.Mitreva M, Zarlenga DS, McCarter JP, Jasmer DP. Parasitic nematodes—from genomes to control. Vet Parasitol. 2007;148:31–42. doi: 10.1016/j.vetpar.2007.05.008. [DOI] [PubMed] [Google Scholar]
  • 21.Bedding RA. Long scale production, storage and transport of the insect parasitic nematodes Neoaplectana spp. and Heterorhabditis spp. Ann Appl Biol. 1984;104:117–20. [Google Scholar]
  • 22.Mitreva M, McCarter JP, Martin J, et al. Comparative genomics of gene expression in the parasitic and free-living nematodes Strongyloides stercoralis and Caenorhabditis elegans. Genome Res. 2004;14:209–20. doi: 10.1101/gr.1524804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–10. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
  • 24.Conesa A, Gotz S, Garcia-Gomez JM, Terol J, Talon M, Robles M. Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 2005;21:3674–6. doi: 10.1093/bioinformatics/bti610. [DOI] [PubMed] [Google Scholar]
  • 25.Kanehisa M, Goto S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28:27–30. doi: 10.1093/nar/28.1.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Horton P, Park KJ, Obayashi T, et al. WoLF PSORT: protein localization predictor. Nucleic Acids Res. 2007;35:585–7. doi: 10.1093/nar/gkm259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Bendtsen JD, Nielsen H, von Heijne G, Brunak S. Improved prediction of signal peptides: SignalP 3.0. J Mol Biol. 2004;340:783–95. doi: 10.1016/j.jmb.2004.05.028. [DOI] [PubMed] [Google Scholar]
  • 28.Grenier E, Catzeflis FM, Abad P. Genome sizes of the entomopathogenic nematodes Steinernema carpocapsae and Heterorhabditis bacteriophora (Nematoda: Rhabditida) Parasitology. 1997;114:497–501. doi: 10.1017/s0031182096008736. [DOI] [PubMed] [Google Scholar]
  • 29.Nollen EA, Garcia SM, van Haaften G, et al. Genome-wide RNA interference screen identifies previously undescribed regulators of polyglutamine aggregation. Proc Natl Acad Sci USA. 2004;101:6403–8. doi: 10.1073/pnas.0307697101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Rual JF, Ceron J, Koreth J, et al. Toward improving Caenorhabditis elegans phenome mapping with an ORFeome-based RNAi library. Genome Res. 2004;14:2162–8. doi: 10.1101/gr.2505604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Balklava Z, Pant S, Fares H, Grant BD. Genome-wide analysis identifies a general requirement for polarity proteins in endocytic traffic. Nat Cell Biol. 2007;9:1066–73. doi: 10.1038/ncb1627. [DOI] [PubMed] [Google Scholar]
  • 32.Wylie T, Martin JC, Dante M, et al. Nematode.net: a tool for navigating sequences from parasitic and free-living nematodes. Nucleic Acids Res. 2004;32:423–6. doi: 10.1093/nar/gkh010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.McCarter JP, Mitreva MD, Martin J, et al. Analysis and functional classification of transcripts from the nematode Meloidogyne incognita. Genome Biol. 2003;4:R26. doi: 10.1186/gb-2003-4-4-r26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Posas F, Chambers JR, Heyman JA, Hoeffler JP, Nadal E, Arino J. The transcriptional response of yeast to saline stress. J Biol Chem. 2000;275:17249–55. doi: 10.1074/jbc.M910016199. [DOI] [PubMed] [Google Scholar]
  • 35.Tyson T, Reardon W, Browne JA, Burnell AM. Gene induction by desiccation stress in the entomopathogenic nematode Steinernema carpocapsae reveals parallels with drought tolerance mechanisms in plants. Int J Parasitol. 2007;37:763–76. doi: 10.1016/j.ijpara.2006.12.015. [DOI] [PubMed] [Google Scholar]
  • 36.Sahi C, Agarwal M, Reddy MK, Sopory SK, Grover A. Isolation and expression analysis of salt stress-associated ESTs from contrasting rice cultivars using a PCR-based subtraction method. Theor Appl Genet. 2003;106:620–8. doi: 10.1007/s00122-002-1089-8. [DOI] [PubMed] [Google Scholar]
  • 37.Gaspar YM, Nam J, Schultz CJ, et al. Characterization of the Arabidopsis lysine-rich arabinogalactan-protein AtAGP17 mutant (rat1) that results in a decreased efficiency of agrobacterium transformation. Plant Physiol. 2004;135:2162–71. doi: 10.1104/pp.104.045542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Sun W, Xu J, Yang J, Kieliszewski MJ, Showalter AM. The lysine-rich arabinogalactan-protein subfamily in Arabidopsis: gene expression, glyco-protein purification and biochemical characterization. Plant Cell Physiol. 2005;46:975–84. doi: 10.1093/pcp/pci106. [DOI] [PubMed] [Google Scholar]
  • 39.Vanholme B, Mitreva M, Van Criekinge W, et al. Detection of putative secreted proteins in the plant-parasitic nematode Heterodera schachtii. Parasitol Res. 2006;98:414–24. doi: 10.1007/s00436-005-0029-3. [DOI] [PubMed] [Google Scholar]
  • 40.Seo M, Kho BM, Guk SM, Lee SH, Chai JY. Radioresistance of Anisakis simplex third-stage larvae and the possible role of superoxide dismutase. J Parasitol. 2006;92:416–8. doi: 10.1645/GE-610R.1. [DOI] [PubMed] [Google Scholar]
  • 41.Yin Y, Martin J, McCarter JP, Clifton SW, Wilson RK, Mitreva M. Identification and analysis of genes expressed in the adult filarial parasitic nematode Dirofilaria immitis. Int J Parasitol. 2006;36:829–39. doi: 10.1016/j.ijpara.2006.03.002. [DOI] [PubMed] [Google Scholar]
  • 42.Sonnhammer EL, Durbin R. Analysis of protein domain families in Caenorhabditis elegans. Genomics. 1997;46:200–16. doi: 10.1006/geno.1997.4989. [DOI] [PubMed] [Google Scholar]
  • 43.Jacob J, Vanholme B, Haegeman A, Gheysen G. Four transthyretin-like genes of the migratory plant-parasitic nematode Radopholus similis: members of an extensive nematode-specific family. Gene. 2007;402:9–19. doi: 10.1016/j.gene.2007.07.015. [DOI] [PubMed] [Google Scholar]
  • 44.Hewitson JP, Harcus YM, Curwen RS, et al. The secretome of the filarial parasite, Brugia malayi: proteomic profile of adult excretory-secretory products. Mol Biochem Parasitol. 2008;160:8–21. doi: 10.1016/j.molbiopara.2008.02.007. [DOI] [PubMed] [Google Scholar]
  • 45.Trap C, Boireau P. Proteases in helminthic parasites. Vet Res. 2000;31:461–71. doi: 10.1051/vetres:2000132. [DOI] [PubMed] [Google Scholar]
  • 46.Balasubramanian N, Hao YJ, Toubarro D, Nascimento G, Simões N. Purification, biochemical and molecular analysis of a chymotrypsin protease with prophenoloxidase suppression activity from the entomopothogenic nematode Steinernema carpocapsae. Int J Parasitol. 2009;39:975–84. doi: 10.1016/j.ijpara.2009.01.012. [DOI] [PubMed] [Google Scholar]
  • 47.Toubarro D, Lucena-Robles M, Nascimento G, Costa G, Montiel R, Coelho AV, et al. An apoptosis-inducing serine protease secreted by the entomopathogenic nematode Steinernema carpocapsae. Int J Parasitol. 2009;39:1319–30. doi: 10.1016/j.ijpara.2009.04.013. [DOI] [PubMed] [Google Scholar]
  • 48.Hao YJ, Montiel R, Nascimento G, Toubarro D, Simões N. Identification and expression analysis of the Steinernema carpocapsae elastase-like serine protease gene during the parasitic stage. Exp Parasitol. 2009;122:51–60. doi: 10.1016/j.exppara.2009.01.014. [DOI] [PubMed] [Google Scholar]
  • 49.Yang Z, Kyriakides TR, Bornstein P. Matricellular proteins as modulators of cell-matrix interactions: adhesive defect in thrombospondin 2-null fibroblasts is a consequence of increased levels of matrix metalloproteinase-2. Mol Biol Cell. 2000;11:3353–64. doi: 10.1091/mbc.11.10.3353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Tudor JE, Pallaghy PK, Pennington MW, Norton RS. Solution structure of ShK toxin, a novel potassium channel inhibitor from a sea anemone. Nat Struct Biol. 1996;3:317–20. doi: 10.1038/nsb0496-317. [DOI] [PubMed] [Google Scholar]
  • 51.Longbottom D, Redmond DL, Russell M, Liddell S, Smith WD, Knox DP. Molecular cloning and characterisation of a putative aspartate proteinase associated with a gut membrane protein complex from adult Haemonchus contortus. Mol Biochem Parasitol. 1997;88:63–72. doi: 10.1016/s0166-6851(97)00074-1. [DOI] [PubMed] [Google Scholar]
  • 52.Gallego SG, Slade RW, Brindley PJ. A cDNA encoding a pepsinogen-like, aspartic protease from the human roundworm parasite Strongyloides stercoralis. Acta Trop. 1998;71:17–26. doi: 10.1016/s0001-706x(98)00050-3. [DOI] [PubMed] [Google Scholar]
  • 53.Williamson AL, Brindley PJ, Loukas A. Hookworm cathepsin D aspartic proteases: contributing roles in the host-specific degradation of serum proteins and skin macromolecules. Parasitology. 2003;126:179–85. doi: 10.1017/s0031182002002706. [DOI] [PubMed] [Google Scholar]
  • 54.Sajid M, McKerrow JH. Cysteine proteases of parasitic organisms. Mol Biochem Parasitol. 2002;120:1–21. doi: 10.1016/s0166-6851(01)00438-8. [DOI] [PubMed] [Google Scholar]
  • 55.Hao YJ, Montiel R, Nascimento G, Toubarro D, Simões N. Identification, characterization of functional candidate genes for host–parasite interactions in entomopathogenetic nematode Steinernema carpocapsae by suppressive subtractive hybridization. Parasitol Res. 2008;103(3):671–83. doi: 10.1007/s00436-008-1030-4. [DOI] [PubMed] [Google Scholar]
  • 56.Peanasky RJ, Bentz Y, Paulson B, Graham DL, Babin DR. The isoinhibitors of chymotrypsin/elastase from Ascaris lumbricoides: isolation by affinity chromatography and association with the enzymes. Arch Biochem Biophys. 1984;232:127–34. doi: 10.1016/0003-9861(84)90528-9. [DOI] [PubMed] [Google Scholar]
  • 57.Morris SR, Sakanari JA. Characterization of the serine protease and serine protease inhibitor from the tissue-penetrating nematode Anisakis simplex. J Biol Chem. 1994;269:27650–6. [PubMed] [Google Scholar]
  • 58.Zang X, Maizels RM. Serine proteinase inhibitors from nematodes and the arms race between host and pathogen. Trends Biochem Sci. 2001;26:191–7. doi: 10.1016/s0968-0004(00)01761-8. [DOI] [PubMed] [Google Scholar]
  • 59.Hartmann S, Lucius R. Modulation of host immune responses by nematode cystatins. Int J Parasitol. 2003;33:1291–2. doi: 10.1016/s0020-7519(03)00163-2. [DOI] [PubMed] [Google Scholar]
  • 60.Pritchard DI, Brown A, Toutant JP. The molecular forms of acetylcholinesterase from Necator americanus (Nematoda), a hookworm parasite of the human intestine. Eur J Biochem. 1994;219:317–23. doi: 10.1111/j.1432-1033.1994.tb19943.x. [DOI] [PubMed] [Google Scholar]
  • 61.Loukas A, Maizels RM. Helminth C-type lectins and host–parasite interactions. Parasitol Today. 2000;16:333–9. doi: 10.1016/s0169-4758(00)01704-x. [DOI] [PubMed] [Google Scholar]
  • 62.Rabinovich GA, Rubinstein N, Toscano MA. Role of galectins in inflammatory and immunomodulatory processes. Biochim Biophys Acta. 2002;1572:274–84. doi: 10.1016/s0304-4165(02)00314-8. [DOI] [PubMed] [Google Scholar]
  • 63.Lee DL. Why do some nematode parasites of the alimentary tract secrete acetyl-cholinesterase? Int J Parasitol. 1996;26:499–508. doi: 10.1016/0020-7519(96)00040-9. [DOI] [PubMed] [Google Scholar]
  • 64.Kennedy MW, Allen JE, Wright AS, McCruden AB, Cooper A. The gp15/400 polyprotein antigen of Brugia malayi binds fatty acids and retinoids. Mol Biochem Parasitol. 1995;71:41–50. doi: 10.1016/0166-6851(95)00028-y. [DOI] [PubMed] [Google Scholar]
  • 65.Prior A, Jones JT, Blok VC, et al. A surface-associated retinol- and fatty acid-binding protein (Gp-FAR-1) from the potato cyst nematode Globodera pallida: lipid binding activities, structural analysis and expression pattern. Biochem J. 2001;356:387–94. doi: 10.1042/0264-6021:3560387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Basavaraju S, Zhan B, Kennedy MW, Liu Y, Hawdon J, Hotez PJ. Ac-FAR-1, a 20 kDa fatty acid- and retinol-binding protein secreted by adult Ancylostoma caninum hookworms: gene transcription pattern, ligand binding properties and structural characterisation. Mol Biochem Parasitol. 2003;126:63–71. doi: 10.1016/s0166-6851(02)00253-0. [DOI] [PubMed] [Google Scholar]
  • 67.Fetterer RH, Rhoads ML. Characterization of haemolytic activity from adult Haemonchus contortus. Int J Parasitol. 1997;27:1037–40. doi: 10.1016/s0020-7519(97)00078-7. [DOI] [PubMed] [Google Scholar]
  • 68.Don TA, Oksov Y, Lustigman S, Loukas A. Saposin-like proteins from the intestine of the blood-feeding hookworm, Ancylostoma caninum. Parasitology. 2007;134:427–36. doi: 10.1017/S003118200600148X. [DOI] [PubMed] [Google Scholar]
  • 69.Banyai L, Patthy L. Amoebapore homologs of Caenorhabditis elegans. Biochim Biophys Acta. 1998;1429:259–64. doi: 10.1016/s0167-4838(98)00237-4. [DOI] [PubMed] [Google Scholar]
  • 70.Alper S, McBride SJ, Lackford B, Freedman JH, Schwartz DA. Specificity and complexity of the Caenorhabditis elegans innate immune response. Mol Cell Biol. 2007;27:5544–53. doi: 10.1128/MCB.02070-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Kaufmann SHE. Heat-shock proteins: a missing in the host–parasite relationship? Med Microbiol Immunol. 1990;179:61–6. doi: 10.1007/BF00198526. [DOI] [PubMed] [Google Scholar]
  • 72.Somvanshi VS, Koltai H, Glazer I. Expression of different desiccation-tolerance related genes in various species of entomopathogenic nematodes. Mol Biochem Parasitol. 2008;158:65–71. doi: 10.1016/j.molbiopara.2007.11.012. [DOI] [PubMed] [Google Scholar]
  • 73.Ghosh I, Eisinger SW, Raghavan N, Scott AL. Thioredoxin peroxidases from Brugia malayi. Mol Biochem Parasitol. 1998;91:207–20. doi: 10.1016/s0166-6851(97)00213-2. [DOI] [PubMed] [Google Scholar]
  • 74.Lu W, Egerton GL, Bianco AE, Williams SA. Thioredoxin peroxidase from Onchocerca volvulus: a major hydrogen peroxide detoxifying enzyme in filarial parasites. Mol Biochem Parasitol. 1998;91:221–35. doi: 10.1016/s0166-6851(97)00230-2. [DOI] [PubMed] [Google Scholar]
  • 75.Brophy PM, Pritchard DI. Parasitic helminth glutathione S-transferases: an update on their potential as targets for immuno- and chemotherapy. Exp Parasitol. 1994;79:89–96. doi: 10.1006/expr.1994.1067. [DOI] [PubMed] [Google Scholar]
  • 76.Rojas J, Rodriguez-Osorio M, Gomez-Garcia V. Immunological characteristics and localization of the Trichinella spiralis glutathione S-transferase. J Parasitol. 1997;83:630–5. [PubMed] [Google Scholar]

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