Literature DB >> 20374642

Survey of transcripts expressed by the invasive juvenile stage of the liver fluke Fasciola hepatica.

Martín Cancela1, Natalia Ruétalo, Nicolás Dell'Oca, Edileuza da Silva, Pablo Smircich, Gabriel Rinaldi, Leda Roche, Carlos Carmona, Fernando Alvarez-Valín, Arnaldo Zaha, José F Tort.   

Abstract

BACKGROUND: The common liver fluke Fasciola hepatica is the agent of a zoonosis with significant economic consequences in livestock production worldwide, and increasing relevance to human health in developing countries. Although flukicidal drugs are available, re-infection and emerging resistance are demanding new efficient and inexpensive control strategies. Understanding the molecular mechanisms underlying the host-parasite interaction provide relevant clues in this search, while enlightening the physiological adaptations to parasitism. Genomics and transcriptomics are still in their infancy in F. hepatica, with very scarce information available from the invasive newly excysted juveniles (NEJ). Here we provide an initial glimpse to the transcriptomics of the NEJ, the first stage to interact with the mammalian host.
RESULTS: We catalogued more than 500 clusters generated from the analysis of F. hepatica juvenile expressed sequence tags (EST), several of them not detected in the adult stage. A set of putative F. hepatica specific transcripts, and a group of sequences conserved exclusively in flatworms were identified. These novel sequences along with a set of parasite transcripts absent in the host genomes are putative new targets for future anti-parasitic drugs or vaccine development. Comparisons of the F. hepatica sequences with other metazoans genomes or EST databases were consistent with the basal positioning of flatworms in the bilaterian phylogeny. Notably, GC content, codon usage and amino acid frequencies are remarkably different in Schistosomes to F. hepatica and other trematodes. Functional annotation of predicted proteins showed a general representation of diverse biological functions. Besides proteases and antioxidant enzymes expected to participate in the early interaction with the host, various proteins involved in gene expression, protein synthesis, cell signaling and mitochondrial enzymes were identified. Differential expression of secreted protease gene family members between juvenile and adult stages may respond to different needs during host colonization.
CONCLUSION: The knowledge of the genes expressed by the invasive stage of Fasciola hepatica is a starting point to unravel key aspects of this parasite's biology. The integration of the emerging transcriptomics, and proteomics data and the advent of functional genomics tools in this organism are positioning F. hepatica as an interesting model for trematode biology.

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Mesh:

Year:  2010        PMID: 20374642      PMCID: PMC2867827          DOI: 10.1186/1471-2164-11-227

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


Background

Fasciola hepatica, the common liver fluke, is recognized as one of the most important parasitic helminths affecting livestock worldwide. Along with the related species F. gigantica, F. hepatica is responsible for massive economic losses estimated globally at 3.2 bn USD mainly due to reduction in meat, wool and milk output in infected animals, with additional costs derived from liver condemnation and flukicide drugs [1]. During the last decade, its relevance as a zoonotic agent in parts of Latin America and Africa has also emerged, with millions at risk of infection [2,3]. Although effective drugs such as triclabendazole are available, they only provide interim control of the disease, since cattle and sheep are easily reinfected. Moreover, drug resistance against triclabendazole has emerged in Australia and European countries (Ireland, The Netherlands, U.K. and Spain) jeopardizing the long term sustainability of this control strategy [4]. The life cycle of F. hepatica is complex and includes a snail and a mammal as intermediate and definitive hosts respectively. Mammals get infected by ingestion of the quiescent larvae (metacercariae) encysted in the vegetation. An interplay of extrinsic signals from the host (digestive enzymes, bile salts, redox potential, pH, temperature among others) and intrinsic factors from the parasite (enzymes and secretions) determine the emergence of a motile larvae [5]. The newly excysted juveniles (NEJ) actively penetrate and transverse the gut wall into the peritoneal cavity within two or three hours. By four or five days post-infection the parasites reach and penetrate the liver, and continue burrowing through the parenchyma for several weeks. Within the major bile ducts the parasites mature and start to release eggs, that can be found in the bile and feces from 8 weeks post-infection [6]. Unlike mature flukes living in the immunologically safe environment of the bile ducts, NEJ are susceptible targets of the immune response. Only 5-10% of the inoculum in cattle, and 20-25% in sheep reach maturity in experimental infections, indicating that a great part of the emerged juveniles either fail entering the gut or are killed during the migrating phase [7,8]. Vaccination studies also show that effective protection is correlated with reduced liver damage, a signature of previous destruction of the early NEJs. Despite the crucial role of this stage in determining the further success of the infective process, information regarding NEJs, is very limited, mainly due to the scarce availability of material to explore diverse aspects of the parasite biology. Principal roles for stage specific proteases and antioxidant enzymes in the early infection have been demonstrated by us and others [9-12]. Recent proteomic studies were able to reveal important differences among F. hepatica stages [13-15]. However, the identification of the juvenile specific proteins was limited by the paucity of mRNA sequences to match to peptide mass fingerprinting data. While more than 200 protein sequences and 10,000 EST are available from the adult stage, only 22 mRNA sequences from NEJ (mainly corresponding to cathepsin B and L-like cysteine proteinases) were deposited at the Genbank by July 2009. Consequently we decided to conduct a transcriptomic analysis in order to identify the gene repertoire expressed by the invasive stage of F. hepatica. Transcriptomic approaches in Schistosoma mansoni and S. japonicum have provided a thorough coverage of the genes expressed by diverse stages [16,17]. Furthermore, they have been invaluable tools for the assembly and annotation of the recently released genomes of these important human parasites [18,19], opening new avenues for discovery [20,21]. EST have also been applied successfully to a limited set of other trematodes, namely Echinostoma paraensei [22], Clonorchis sinensis [23-25], Paragonimus westermani [26] and Opisthorchis viverrini [27]. Here we report the analysis of a limited set of NEJ expressed sequence tags, identifying putative stage, species and flatworm specific sequences. This first glimpse of the physiology of the invasive larvae opens new prospects for the understanding of the host-parasite interaction eventually leading to the development of new mechanisms to control fasciolosis, and warrants further analysis using new generation sequencing technologies.

Results and Discussion

Construction of a newly excysted juvenile F. hepatica cDNA library

In order to identify the genes expressed during the invasion process of the platyhelminth F. hepatica, we constructed a full length enriched cDNA library using a modified protocol based on selective amplification of capped polyadenylated RNA species. Since the starting parasite material was limiting, a modified size fractioning step of the products was introduced in order to improve the yield [28] (Additional File 1). More than four thousand reads were produced and analyzed using the Partigene pipeline [29]. Quality and vector trimming drastically reduced the starting 4319 ESTs to 1684 high quality sequences, mainly due to the presence of multimers of the adapters used in the generation of the libraries (see methods). This setback could be expected considering the minimal amount of starting material, and might be corrected using 5' blocked adapters in lower concentrations. The resulting high quality sequences were clustered into 517 different contigs (249 clusters and 268 singletons), 74.6% of them showing significant similarity (E value < 1e-05) with protein coding genes deposited in public sequence databases, indicating a good representation of cDNAs in this library (Table 1). The most highly abundant EST in juvenile F. hepatica (13.5% of total reads) corresponds to the large subunit of the mitochondrial ribosomal RNA (LSU rRNA), and was discarded from further analysis. Polyadenylated LSU rRNA has already been described in other platyhelminths [28], and in fact, F. hepatica LSU rRNA has been reported to represent about 10% of the adult transcripts [30]. Considering that only 22 sequences from NEJ were available in Genbank by July 2009 (15 of them encoding cathepsins), the present report represents a pertinent contribution to the knowledge of the genes expressed by the invasive stage of the common liver fluke.
Table 1

Overview of F. hepatica NEJ ESTs assembly

NEJ LIBRARYPartigene
EST generated4319
Submissable EST1684
Contigs516
Clusters248
Singletons268
Mitochondrial LSU RNA228
Contigs with Blast hits386
Contigs with GO assignments174
Contigs with Pfam hits179
Average insert size347
Overview of F. hepatica NEJ ESTs assembly

Comparison and validation of the FhNEJ ESTs with other databases

In order to establish if the obtained contig sequences correspond to validated transcripts, we compared them to different available databases, including ESTs from the adult F. hepatica stage, predicted coding sequences from selected organisms with complete genomes, and transcriptomes of other eukaryotes representing the main lineages in the metazoan diversity (Additional File 2). To compare the data obtained from the juvenile stage to the adult sequences, we retrieved and analyzed using the Partigene pipeline more than 10,000 EST reads from F. hepatica adult worms available at the Wellcome Trust Sanger Institute, obtaining 4089 contigs (1879 clusters and 2210 singletons), 58% of them showing significant blast hits (E value < 1e-05) with publicly available databases (Additional File 3). These results are very similar to a recently reported analysis of the same dataset performed using a different pipeline [13]. More than half of the juvenile contigs (55.3%) were also found in adult ESTs (Figure 1). A set of 91 juvenile contigs (17.6%), also present in adults, showed no homology to sequences in other databases, suggesting that they might represent Fasciola specific transcripts expressed in diverse stages of the parasite life cycle. On the other hand, there are several juvenile contigs that are absent from the adult database, although represented in other organisms suggesting that they might represent stage specific transcripts (Figure 1). A set of 114 juvenile contigs (22,1%) were common to all other organisms searched indicating core eukaryotic functions such as ribosomal proteins and common enzymes. The absence of some of them from the adult dataset might suggest that the representation of the adult libraries is still partial. Interestingly, 64 contigs (12.4%) are shared only within flatworms, corresponding to conserved uncharacterized transcripts that might be relevant to parasitism. Also 56 contigs (10.9%) are shared only within metazoans and absent in the non metazoan choanoflagellate Monosiga brevicollis, suggesting that they represent metazoan innovations.
Figure 1

Distribution of hits of . The NEJ contigs generated by the Partigene pipeline were compared by Blast with the set of databases corresponding to diverse taxons (listed in Additional file 2), and the results aggregated by their conservation in diverse taxonomic groups. Groups correspond to sequences finding hits in all taxa tested (common), all metazoans, all bilaterians or exclusively in flatworms or in F. hepatica adult stage ESTs. Sequences producing positive hits with some taxa but not with others (i.e. absent in deuterostomes) are also indicated, and sequences producing no hits are depicted in grey. Sequences producing hits with the adult stage ESTs dataset within each category are indicated in orange in the inner circle.

Distribution of hits of . The NEJ contigs generated by the Partigene pipeline were compared by Blast with the set of databases corresponding to diverse taxons (listed in Additional file 2), and the results aggregated by their conservation in diverse taxonomic groups. Groups correspond to sequences finding hits in all taxa tested (common), all metazoans, all bilaterians or exclusively in flatworms or in F. hepatica adult stage ESTs. Sequences producing positive hits with some taxa but not with others (i.e. absent in deuterostomes) are also indicated, and sequences producing no hits are depicted in grey. Sequences producing hits with the adult stage ESTs dataset within each category are indicated in orange in the inner circle. To further characterize conservation patterns between different metazoan lineages, we analyzed the distribution of tblastx hits by three-way comparisons using the Simitri program [31]. As expected, the F. hepatica predicted genes are more similar to homologues from other trematodes rather than cestodes and turbellaria, and to all flatworms rather than other protostomes, supporting the monophylectic origin of flatworms (Figure 2A, C). Consistent with the reports from the schistosomes genomes, we detected slightly more shared genes (being them also more similar) with the complete genomes of vertebrates than with insects and nematodes [18,19]. These results further support the idea that ancient genomes were gene rich, and that lineage specific gene gain and loss events were frequent during metazoan evolution, particularly within the ecdysozoans [32]. While the relevance of genes shared between trematodes and their hosts has been highlighted, since they may be crucial for parasite adaptation to the host [33], the inverse situation (genes present in the parasite but absent in their hosts), might provide relevant candidates for anti-parasitic intervention.
Figure 2

Three way comparisons of . The complete set of contigs generated by the Partigene pipeline was compared by tblastx with a set of ESTs or cDNA databases indicated in Additional file 2. The resulting tblastx scores were transformed in coordinates and represented in a triangular graph with Simitri. Each sequence is represented by a dot colour coded by its aggregated blast score and placed in the middle area if found in the three databases, on the corresponding cathetus if found in two databases. Sequences that match in only one of the databases or have no hits are not depicted, but their numbers are indicated. For clarity angle bisector lines were added. Comparisons are shown among (A) trematodes, cestodes, and turbellaria (B) cnidarians, mollusks, and annelids (C) flatworms (excluding F. hepatica), mollusks, and annelids (D) lophotrochozoans (excluding platyhelminths) ecdysozoans, and deuterostomes.

Three way comparisons of . The complete set of contigs generated by the Partigene pipeline was compared by tblastx with a set of ESTs or cDNA databases indicated in Additional file 2. The resulting tblastx scores were transformed in coordinates and represented in a triangular graph with Simitri. Each sequence is represented by a dot colour coded by its aggregated blast score and placed in the middle area if found in the three databases, on the corresponding cathetus if found in two databases. Sequences that match in only one of the databases or have no hits are not depicted, but their numbers are indicated. For clarity angle bisector lines were added. Comparisons are shown among (A) trematodes, cestodes, and turbellaria (B) cnidarians, mollusks, and annelids (C) flatworms (excluding F. hepatica), mollusks, and annelids (D) lophotrochozoans (excluding platyhelminths) ecdysozoans, and deuterostomes. Additionally, since we included in the study partial genomes from other lophotrochozoans (annelids and mollusks) we were able to compare the Fasciola dataset to these organisms and other phyla. This is relevant since flatworm position in modern phylogeny is still debated, being placed either within or as sister group of the lophotrochozoa [34-36]. The conserved set of liver fluke genes is almost equally distant from cnidarians, mollusks, and annelids, but slightly closer to the two lophotrochozoans than the model ecdysozoans or vertebrates (Figure 2B, D, and Additional File 4). The trend in this (and all other comparisons performed) were maintained when including the 4089 F. hepatica adult contigs suggesting that the effects observed might not be due to sampling bias (data not shown). The comparisons here presented are consistent with the placement of flatworms basal to the lophotrochozoans.

Compositional characteristics of F. hepatica predicted proteins

The average G+C content of the F. hepatica ESTs (both juvenile or adult) was 45%, a value substantially higher than in S. mansoni and S. japonicum (34%) [37]. Since variation in GC content can result in skewed codon usage [38], we analyzed the frequency of codons and amino acids of the predicted protein coding sequences in all F. hepatica available assemble ESTs (NEJ and adult stage), and compared it to those observed in other trematodes. As indicated in Figure 3A, there is a detectable difference in codon frequency, between the schistosomes and the other trematodes (including F. hepatica). Schistosomes prefer the most AU rich codon of each synonymous family, and are also strongly biased against C or G in the third codon position confirming early predictions obtained with limited gene sets [39]. More striking is the fact that significant differences were also found at the amino acid level, where schistosomes uses less Arg, Ala and Gly, and are enriched in Asn, Ile and Ser (Figure 3B). In a recent paper the tRNA complement of S. mansoni and S. japonicum is analyzed, but no significant correlation between tRNA copy number with the overall codon usage were found in any of the species [40]. The biological and evolutionary significance of the differences here observed is not clear, and deserves further consideration. In any case, these results raise the question that schistosomes might represent a more divergent than expected model for other trematodes.
Figure 3

Codon and amino acid usage in different trematodes. Coding sequences of more than 500 amino acids from diverse trematodes were collected and analyzed for their codon and amino acid usage. The graphs indicate (A) the total frequency of use of each codon in diverse trematodes, (B) the total frequency of use of each amino acid in the diverse trematodes species analyzed: Fasciola hepatica (red) Echinostoma paraensei (yellow) Opisthorchis viverrini (green) Clonorchis sinensis (purple), Schistosoma japonicum (sky-blue) and Schistosoma mansoni (blue).

Codon and amino acid usage in different trematodes. Coding sequences of more than 500 amino acids from diverse trematodes were collected and analyzed for their codon and amino acid usage. The graphs indicate (A) the total frequency of use of each codon in diverse trematodes, (B) the total frequency of use of each amino acid in the diverse trematodes species analyzed: Fasciola hepatica (red) Echinostoma paraensei (yellow) Opisthorchis viverrini (green) Clonorchis sinensis (purple), Schistosoma japonicum (sky-blue) and Schistosoma mansoni (blue).

Gene Ontology classification and functional annotation

Gene Ontology (GO) provides a useful way of classifying and annotating sequence information. Our analysis of the F. hepatica juvenile dataset showed up to 179 NEJ contigs with GO assignment. The molecular function classification showed a predominance of the binding category overlapping with almost all other categorizations, followed by enzymes (catalytic activity) and structural components. The discrimination within the binding class showed three main divisions of similar relevance, two overlapping with enzymes and ribosomal proteins and a set identified as protein and DNA binding associated with regulatory functions (Figure 4A). The more represented biological process categories were linked with metabolism, regulation and development (Figure 4B), showing a consistent assignment of GO cellular components (data not shown). Functional annotation of predicted proteins showed a general representation of the diverse biological functions. Proteases and antioxidant enzymes should be highlighted since they have long been under scrutiny for their putative involvement in invasion and immune evasion processes [9,10,41-49]. Novel proteins included ribosomal proteins (Additional File 5) several factors associated with protein and gene expression, cell signaling and apoptosis, as well as orthologues of candidate antigens that induce protection against other helminthiasis. They include tetraspanin-like protein [50], a membrane spanning protein located at the tegument of S. mansoni, Sm22.6 tegument antigen [51], and venom allergen-like (VAL) proteins, a candidate vaccine antigen against Necator americanus and Ancylostoma caninum [52-55].
Figure 4

Assignation of the juvenile . The NEJ contigs generated by the Partigene pipeline were compared with Gene Ontology, and the ontologies recovered mapped to the upper category using an in-house modified version of go-slim. Note that each contig might map to more than one category within each ontology (A) Molecular function assignation: the more abundant categories (binding, catalytic and structural component were further subdivided) (B) Cellular component assignation, as in (A) the metabolic process category was subdivided in its child categories.

Assignation of the juvenile . The NEJ contigs generated by the Partigene pipeline were compared with Gene Ontology, and the ontologies recovered mapped to the upper category using an in-house modified version of go-slim. Note that each contig might map to more than one category within each ontology (A) Molecular function assignation: the more abundant categories (binding, catalytic and structural component were further subdivided) (B) Cellular component assignation, as in (A) the metabolic process category was subdivided in its child categories.

Relevant molecules for parasitism

Despite the small size of our juvenile library the more represented sequences included proteinases and antioxidant enzymes previously reported as being predominantly expressed in NEJ [12,56-60], together with predicted proteins of unknown function conserved only in F. hepatica or in other trematodes but not in other taxa (Table 2).
Table 2

Contigs including more reads in the F. hepatica NEJ ESTs assembly

ContigLengthReadsSignal_P*TMHMM**Description***Distribution
FHETRECESTURCNDLTZECZDTS
FHC0002382457SPep0Similar to FHA01510_1X
FHC0006748330SPep1No hit
FHC00049113027-0cathepsin B3XXXXXXXX
FHC0006861521-0Similar to AT006824 C. sinensis cloneXx
FHC0013887618-0Thioredoxin peroxidiseXXXXXXXX
FHC0000579216SAnc3Similar to AT009818 C. sinensis cloneXx
FHC00024106414SPep0cathepsin L3XXXXXXXX
FHC0001461212SAnc2Similar to AT009818 C. sinensis cloneXx
FHC0000650112SPep1Similar to AT009816 C. sinensis cloneXx
FHC0009569911-0Similar to FhAE00302X
FHC0006181910SAnc3Similar to AT008757 C. sinensis cloneXx
FHC0009144310-0cysteine-rich intestinal proteinXxxxxxxx
FHC003403629-0Similar to FHA01532_1X
FHC001744139-0Similar to OvAE2228 O. viverriniXxxxx
FHC000546108-0pro-cathepsin B1XXXXXXXX
FHC003764738SAnc1FN5 proteinXxxxxx
FHC001015647-0Peptidyl-prolyl cis-trans isomeraseXXXXXXXX
FHC0001711317SPep0pro-cathepsin B2XXXXXXXX
FHC001759307-0Ribosomal protein S2XXXXXXXX
FHC000132527-0Ribosomal protein S29Xxxxxxxx
FHC001872827-0Calcium-binding proteinXxxxxx
FHC000306806SPep0Cellular nucleic acid-binding proteinXxxxxxxx
FHC000182896-0Similar to FhAE00481Xx
FHC000384166SAnc1no hit
FHC001724766SPep0Similar to FhAE00307Xx

* Signal P results indicating prediction of a signal peptide or a signal anchor

** Number of predicted transmembrane domains as predicted by THMMM is indicated

*** Presence of a putatively relevant blast hit in different taxons is indicated. Hits below e-10 represented by a lowercase x, under e-50 by uppercase X, and e-100 in bold X.

Columns headings are FHE (F. hepatica adult stage), TRE (other trematoda), CES (cestoda), TUR (turbellaria), CND (cnidaria), LTZ (lophotrochozoa), ECZ (ecdysozoa), DTS (deuterostomia)

Contigs including more reads in the F. hepatica NEJ ESTs assembly * Signal P results indicating prediction of a signal peptide or a signal anchor ** Number of predicted transmembrane domains as predicted by THMMM is indicated *** Presence of a putatively relevant blast hit in different taxons is indicated. Hits below e-10 represented by a lowercase x, under e-50 by uppercase X, and e-100 in bold X. Columns headings are FHE (F. hepatica adult stage), TRE (other trematoda), CES (cestoda), TUR (turbellaria), CND (cnidaria), LTZ (lophotrochozoa), ECZ (ecdysozoa), DTS (deuterostomia) Secreted cathepsins were among the more represented transcripts in juvenile ESTs, and also in the adult dataset (Table 2, Additional File 6). A more detailed analysis of these transcripts showed that different isoforms are are being expressed by the invading and adult stage. While cathepsins L3, L4 and L6 are detected in the juvenile ESTs, they are absent from the much larger adult dataset (with the exception of cathepsins L4). Proteomic analysis have shown that cathepsins L1 and L2 are clearly predominant in adults, in agreement with the relative abundance of their transcripts in the adult EST database [13] (Additional File 6), and it has been proposed that the repertoire of cathepsin Ls gradually change from those expressed in juveniles to a different set characteristic of the adults worms [13-15]. Interestingly, it has recently been reported that the juvenile predominant cathepsin L3 has a strong collagenase activity, that might result essential for the invasion process [61], while the "adult" cathepsin L1 is involved in hemoglobin degradation [14]. We found evidence that within the less characterized cathepsin B gene family a similar phenomenon might be taking place. The cathepsin B forms that appear as frequent in juveniles are quite distinct to the cathepsin B transcripts found in the adult stage dataset (Additional Files 7 and 8), suggesting that they might also be functionally distinct; cathepsin B1 functions as a digestive enzyme in the juvenile gut [62]. Further evidence that changing repertoires of enzymes within gene families might be a common theme in the parasite adaptation to the diverse environments found in their hosts is provided by the legumains. These enzymes have been proposed to have a relevant role activating other enzymes in helminth proteolytic cascades [12,13,63-67]. A novel legumain detected in the juvenile ESTs, legumain 3 has an inverted expression pattern with the previously reported legumain isolated from adult worms (Additional File 9, panels A, B). Besides the already described cathepsins and legumains, the degradome of the juvenile liver fluke was enriched by other proteases, including a novel serine proteinase, calcium-dependent cysteine proteinases (calpains), and components of the proteasome and ubiquitin pathway (Table 3). Proteinase inhibitors like cystatins were also produced by the juvenile larvae. These might modulate parasite proteases on the host immune response as was described for nematode cystatins [68-71].
Table 3

Putative host interacting proteins of NEJ of Fasciola hepatica

Contige valueBest Hit AccesionSpeciesDescriptionPfam ID
Proteases
FHC008524,00E-68Smp173840|29601S. mansoni26S protease regulatory subunitPF00004.21
FHC000171,00E-172CAD32937F. hepaticaPro-cathepsin B2PF00112.15
FHC000240ACM67632F. hepaticaCathepsin 2LPF00112.15
FHC000490ABU62925F. hepaticaCathepsin B3PF00112.15
FHC000541,00E-103CAD32937F. hepaticaPro-cathepsin B2PF00112.15
FHC000922,00E-57ABU62925F. hepaticaCathepsin BPF00112.15
FHC001543,00E-40ABZ80402F. hepaticaCathepsin L6PF00112.15
FHC005221,00E-34ABW75768F. hepaticaProcathepsin LPF00112.15
FHC008552,00E-69ABU62925F. hepaticaCathepsin BPF00112.15
FHC002011,00E-112CAC85636F. hepaticaLegumain like precursorPF01650.10
FHC003832,00E-44CAC85636F. hepaticaLegumain like precursorPF01650.10
FHC002511,00E-27CAC85636F. hepaticaLegumain like precursor-
FHC004132,00E-32CAC85636F. hepaticaLegumain like precursor-
FHC004565,00E-22Smp002150|29044S. mansoniSerine proteasePF00089.18
FHC004107,00E-09CPRT0000007748S. japonicumProbable Ufm1-specific protease 2-
FHC004358,00E-46B7P5Y9_IXOSCI. scapularisCalcium-dependent cysteine protease-
Proteinase Inhibitors
FHC008122,00E-16Q06K58_PHLDUP. duboscqiEndopeptidase inhibitorPF10208.1
FHC001951,00E-57AAV68752F. hepaticacystatin-
FHC007247,00E-13AAV68752F. hepaticacystatin-
Antioxidant proteins
FHC001381,00E-131ACI04165F. hepaticaThioredoxin peroxidasePF00578.13
FHC001675,00E-37DQ821492Haliotis discusCu/Zn-superoxide dismutasePF00080.12
FHC001529,00E-10CPRT0000000157S. japonicumThioredoxin-like proteinPF06110.3
FHC001113,00E-39AI446859E. paraenseiGlutathione S-TransferasePF02798.12
FHC002875,00E-90AI446859E. paraenseiμ-Glutathione S-TransferasePF02798.12
FHC000812,00E-57AT007109P. westermaniGlutathione peroxidasePF00255.11
FHC000667,00E-49AT006971C. sinensisThioredoxin-2 mitochondrialPF00085.12
Transmembrane proteins
FHC005555,00E-26CPRT0000008170S. japonicumClathrin coat-associated proteinPF01217.12
FHC000866,00E-32O01372_SCHJAS. japonicum22.6 kDa membrane-associated antigenPF00036.24
FHC000099,00E-54CPRT0000003434S. japonicumTransmembrane emp24 proteinPF01105.16
FHC005922,00E-13FgfH. sapiensFGF receptor activating proteínPF10277.1
FHC000377,00E-34AAA31753F. hepaticaNADH dehydrogenase subunit 3PF00507.11
FHC002419,00E-53CPRT0000009505S. japonicumSuccinate dehydrogenase complex, subunit CPF01127.14
FHC002733,00E-24Smp140000|29115S. mansoniTetraspanin-CD63 receptorPF00335.12
FHC003001,00E-11CPRT0000000388S. japonicumSsr4; signal sequence receptor-
FHC006061,00E-06Smp156020|29231S. mansoniGlucose transporter-
Cell signalling
FHC000433,00E-31A4V9Q6_FASHEF. hepaticaCalmodulin-like protein 2PF00036.24
FHC004941,00E-100CPRT0000000218S. japonicumPhosphatase 2A inhibitorPF00956.10
FHC005192,00E-10CED3_CAEELC. elegansCaspase-2PF00656.14
FHC002852,00E-43CPRT0000001178S. japonicumCell cycle and apoptosis regulatory protein 1PF02037.19
FHC006311,00E-65A4IF06_CLOSIC. sinensisBax inhibitor factor 1PF01027.12
FHC005653,00E-44Smp_073560S. mansoniWD domain G beta-like proteinPF00400.24
FHC000527,00E-29MADD_DROMED. melanogasterMAP kinase-activating death domain protein-
Structural and motor proteins
FHC000334,00E-74EL620294O. viverriniActin 2PF00022.11
FHC001171,00E-149EL620294O. viverriniActin 2PF00022.11
FHC004871,00E-26C610909L. rubellusActin related protein 2/3PF04699.6
FHC003792,00E-34EL620325O. viverriniCofilinPF00241.12
FHC000567,00E-53EL620358O. viverriniDynein light chainPF01221.10
FHC001971,00E-25EL619926O. viverriniDynein Light ChainPF01221.10
FHC003633,00E-11EL618949O. viverriniDynein LC6-
FHC008024,00E-37CPRT0000002575S. japonicumParamyosinPF01576.11
FHC004401,00E-99CAP72051F. hepaticaTubulin beta-3PF03953.9
FHC002787,00E-21CAP72050F. hepaticaTubulin beta-2-
Putative host interacting proteins of NEJ of Fasciola hepatica Sequences encoding detoxifying enzymes like thireodoxin peroxidase (TPx), superoxide dismutase (SOD), thioredoxin 2, glutation S-transferases and a novel glutathione peroxidase not previously reported in F. hepatica were also found in juveniles, stressing their relevance for immune evasion [72]. In flatworms thioredoxin and glutathione peroxidases are the main enzymes involved in detoxifying reactive oxygen species produced by host immune effector cells [73,74]. Secreted and surface proteins that may modulate host interactions are considered as relevant targets for vaccine or anti-parasitic drug design [75]. SignalP analysis identified putative signal peptides in 60 NEJ predicted proteins, while 52 had an N-terminal signal anchor peptide. Several putative secreted proteins were novel (with no significant hits) or conserved only in trematodes but not detected in other taxa. Some of these transcripts were among the more represented ESTs in juveniles (Table 2). The repeated detection of these transcripts in partial datasets from diverse trematodes support the notion that they are truly highly expressed genes in trematodes, and may be important mediators for parasitism. We selected Contig FHC00023, a predicted secreted protein of unknown function that is the most frequent in the juvenile ESTs with no homologies outside F. hepatica for further analysis. By real time PCR we found that this transcript is predominantly expressed in the invasive stage confirming the in silico observation (Additional File 9 panel C). The putative ORF is characterized by repeated Ser and Thr residues predicted to be glycosilated, and in further analysis showed faint homology with mucins. Parasite-specific proteins (with no counterparts in vertebrates) like these are ideal targets for development of therapeutic agents since they would have no cross-reactivity with host molecules. The elucidation of the function of these proteins is an important task. The growing availability of functional genomics tools like RNA interference in F. hepatica and model trematodes [76-78] offers some hope this can be accomplished.

Conclusions

The data presented here provides an initial picture of the transcriptional status of the invasive stage of the zoonotic trematode F. hepatica, one of the most common parasites of livestock worldwide, and a relevant agent of human disease in impoverished areas of South America and Asia. Besides confirming previously identified genes involved in the invasion process, we also identified plausible candidates for anti-helminthic intervention. A set of putative F. hepatica specific transcripts, together with other flatworm specific sequences identified, and a group of transcripts absent in their mammalian hosts, provide an initial framework to pinpoint novel targets for future anti-parasitic drugs or vaccine development. The availability of recently developed functional genomic tools in liver fluke offers a platform to start unraveling the function of these novel conserved genes. Furthermore, we detected interesting differences between the models Schistosoma species with other lineages of trematodes, suggesting that genomic and transcriptomic efforts in other flukes might be justified. Comparative studies between diverse trematodes would provide more clues on evolutionary adaptations to parasitism. The richness of information obtained from a limited set of data warrants an in dept analysis of the transcriptome using new multiparallel sequencing technologies.

Methods

Parasites

Fasciola hepatica metacercariae were obtained in our laboratory from experimentally infected Lymnaea viatrix snails and maintained encysted on 0.4% carboxymethyl cellulose until use. Excystment of metacercariae was performed as described previously [15]. Briefly, metacercariae were placed in a 100-μm filter and incubated 5 min with 1% sodium hypochlorite, washed exhaustively with PBS and incubated at 39°C for up to 3 hours in a solution prepared by mixing equal volumes of A (0.4% sodium taurocholate, 120 mM NaHCO3, 140 mM NaCl, pH 8.0 and B (50 mM HCl, 33 mM L-cysteine). The emerging NEJs were collected in a 20 μm-filter with RPMI-1640 medium and used for RNA extraction.

RNA extraction, ligation of RNA adaptors and cDNA synthesis

Total RNA from 1200 NEJs was prepared using the Micro to Midi RNA Extraction Kit (Invitrogen), according to the manufacturer's protocol. Two hundred nanograms of total RNA were used for cDNA synthesis using the protocol described [28]. Briefly, the non capped RNAs were dephosphorylated, and the complete mRNAs were decapped by a pyrophosphatase treatment, and later ligated to the GeneRacer RNA oligo to introduce a 5' priming site in complete mRNAs. After this treatment, first strand synthesis was performed with the reverse transcriptase Superscript III (Invitrogen) using GeneRacer oligo-dT primer (5'GCTGTCAACGATACGCTAC GTAACGGCATGACAGTG(T)183').

Preparation of NEJ cDNA libraries

Amplification of full-length cDNAs was performed by PCR using universal forward (GeneRacer 5'Nested: 5'GGACACTGACATGGACTGAAGGAGTA3') and reverse primers (GenerRacer 3'Nested: 5'CGCTACGTAACGGCATGACAGTG3') provided by the GeneRacer kit. PCR was carried out for 30 cycles (94°C, 45 sec; 68°C 45 sec; 72°C 5 min) using Hot Start Taq DNA polymerase (Fermentas). PCR products were size fractionated in three subpopulations (300-800 bp, 800-2000 bp and >2000 bp) by excision from 1% TBE agarose gels, purified with QIAquick Gel Extraction kit (QIAGEN), ligated to pCR4-TA cloning vectors (Invitrogen), electroporated into One Shot TOP 10 Electrocompetent E. coli (Invitrogen), and plated on LB Amp/X-Gal. Recombinant clones from the libraries were randomly picked, grown in Circle Growth medium and stocked at -80°C in 96-well plates in 30% glycerol.

DNA sequencing and Bioinformatics analysis

Clones were cultured in 96 well plates with Circle Growth media and plasmid DNA was purified by alkaline lysis in 96 well plates. DNA was sequenced with M13 reverse primers using the Dyenamic ET Dye Terminator cycle sequencing kit for MegaBace DNA Analysis Systems (GE Healthcare Life Sciences) according to the manufacturer's instructions. The sequence reads obtained were processed and analyzed using the Partigene pipeline [29]. Briefly, Trace2dbest [79] processed the chromatograms removing low quality (Phred <15, <150 bp) and vector sequences, and the resulting preprocessed ESTs were assembled in a two-step process carried out by CLOBB [80] and Phrap programs; the resulting contigs and singletons were compared to a set of databases maintained locally (listed in Supplementary Table 1) using tBLASTX and BLASTX. Functional categories were analyzed using annot8r [81]. Signal sequence prediction was performed using SignalP3.0 program [82]. Prediction of trans-membrane domains were conducted using TMHMM software [83]. Blast results comparisons were performed with Simitri [31]. All the available ESTs reads from adult stage of F. hepatica available at the Wellcome Trust Sanger Institute http://www.sanger.ac.uk/Projects/Helminths were downloaded and processed with the same pipeline. The juvenile sequences here obtained were deposited at the dbEST with the accessions GT740211 to GT741887.

Codon usage and amino acid frequencies

For F. hepatica adult and juvenile stages, Echinostoma paraensei, Opistorchis viverrini and Clonorchis sinensis, open reading frames were predicted from the assembled EST data using EMBOSS bioinformatics suite [84]. The longest ORF from each EST was retrieved and the predicted protein sequence was blasted against the NCBI nr databank. ORFs with significant hits were kept for further analysis. For S. japonicum and S. mansoni predicted coding regions obtained through the respective genome projects were analyzed. Codon and amino acid usage was calculated using GCUA: General Codon Usage Analysis tool [85]

Real time PCR

Real time PCR experiments were carried out in an Applied Biosystems 7500 Real time PCR System. Ten microliters of different dilutions of cDNA of NEJ and adult parasites were amplified using 0.2 μM each specific primers, 1.5 mM MgCl2, 25 uM dNTPs, 0.25 U Platinun Taq DNA polymerase (Invitrogen), 1× SYBR Green, 1× PCR buffer in a 20 uL volume reaction. Primers sequences are β-actin (Forward 5'-GTGTTGGATTCTGGTGATGGTGTC-3' and Reverse 5'-CAATTTCTCCTTGAT GTCTCG-3'), FHC00023 (Forward 5'-ATGGTGCGAACGCTAAG-3' and Reverse 5'-GAAGAACGCAACGCCGAAGA-3'), Legumain 1 (Forward 5'-CAAGGATGTTTATGAAGGG-3'and Reverse 5'-TGCTTTGTTCATGCTGGC-3') Legumain 3 (Forward 5'-AGCAGACAAAACCCTTATCGT-3'and Reverse 5'-GGAATAATAGTAGGCGACGTG-3'). Reactions were performed in triplicate using the following PCR amplification conditions, 1 cycle (94°C, 5 min), 40 cycles (94°C, 15 seg; 60°C, 10 seg; 72°C, 15 seg). All results were analyzed using the 2-ΔΔCt method and β-actin as internal control group [86].

Note added in proof

Recently a separate study describing the generation of more than 500,000 sequences from an adult cDNA library using 454 sequencing was published [87]. However, at the time of writing these sequences have not been made publically accessible and hence a comparative analysis of this dataset was not possible.

Authors' contributions

MC, CC, AZ, & JFT conceived the work. MC, GR, LR & NDO obtained the RNA and generated the libraries. MC, ES, NR & NDO amplified the library and sequenced the clones. NR, PS & FAV organized the analysis pipeline, and MC, NR, NDO & PS processed the sequence data, MC, CC, AZ and JFT wrote the manuscript, which was discussed, improved and corrected by all participant authors. All authors read and approved the final manuscript.

Additional file 1

Figure S1. cDNA library generation procedure. (A) Diagrammatic representation of the major steps in the cDNA library construction. (B) Details on the full length selection and adapter ligation. (C) Representative PCR products from colonies obtained after size fractionation; left: small size insert library, right: large size insert library. Click here for file

Additional file 2

Table S1- Databases used in this study. Details and links to the databases used in this study. Click here for file

Additional file 3

Table S2- Overview of . Details of the assembly of the available adult stage ESTs with the Partigene pipeline. Click here for file

Additional file 4

Figure S2. Three way comparisons of . (A) The complete set of contigs generated by the Partigene compared to ESTs from the early metazoans (non bilaterians) Trichoplax adherens, Porifera (sponges) and Cnidaria (jellyfish and corals). (B) Comparison among the nematode C. elegans, the insect D. melanogaster and the arachnid (thick) I. scapularis. (C) Comparison to the vertebrates D. renio (zebra fish), G. gallus (chicken) and H. sapiens (human). Click here for file

Additional file 5

Table S3- Ribosomal proteins detected in NEJ EST assembly. List of ribosomal proteins detected in the juvenile assembly. Click here for file

Additional file 6

Table S4- Most abundant contigs in the Details of the contigs containing more reads in the adult stage assembly. Click here for file

Additional file 7

Figure S3. Phylogenetic tree of Fasciolidae cathepsins B. Bootstrapped neighbor joining tree of available cathepsin B coding sequences, showing the clustering of juvenile and adult forms. Sequences are color coded by their stage origin: adult stage represented in red rhombs, juveniles in blue triangles and metacercariae in green circles. Contig sequences from ESTs projects (Sanger Center and this study) are unfilled. Sequences from F. gigantica are underlined. Sequences from GeneBank are named following the same criterion of Robinson et al [14], namely the first two characters indicate species (Fh or Fg for F. hepatica or F. gigantica respectively) followed by the cathepsin type, country of origin, accession, stage and P or C for describing partial or complete coding sequences respectively. The "adult" and "juvenile" clusters observed are not due to sample bias since they are maintained when analyzing partial regions corresponding to 5' or 3'ends of the ESTs (data not shown). The nucleotide sequence alignment of the cathepsins B used to generate the tree is available as Additional File 8. Click here for file

Additional file 8

Supplementary Data S1 - Alignment of cathepsin B sequences. Nucleotide sequence alignment of cathepsin B sequences. Click here for file

Additional file 9

Figure S4. Differentially expressed genes in . Transcriptional levels of legumain 1 (A) legumain 3 (B) and Contig FHC00023 (C) were determined by Real time RT-PCR in newly excysted juveniles and adults. Levels were measured by the 2-delta delta CT method using actin as a control for normalization. Click here for file
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