Dataset Information

Profiling Schistosoma mansoni development using serial analysis of gene expression (SAGE).

ABSTRACT: Despite the widespread use of chemotherapy and other control strategies over the past 50years, transmission rates for schistosomiasis have changed little. Regardless of the approach used, future control efforts will require a more complete understanding of fundamental parasite biology. Schistosomes undergo complex development involving an alteration of parasite generations within a mammalian and freshwater molluscan host in the completion of its lifecycle. Little is known about factors controlling schistosome development, but understanding these processes may facilitate the discovery of new control methods. Therefore, our goal in this study is to determine global developmentally regulated and stage-specific gene expression in Schistosoma mansoni using serial analysis of gene expression (SAGE). We present a preliminary analysis of genes expressed during development and sexual differentiation in the mammalian host and during early larval development in the snail host. A number of novel, differentially expressed genes have been identified, both within and between the different developmental stages found in the mammalian and snail hosts.

SUBMITTER: Williams DL

PROVIDER: S-EPMC2121609 | biostudies-literature | 2007 Nov

REPOSITORIES: biostudies-literature

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Profiling Schistosoma mansoni development using serial analysis of gene expression (SAGE).

Williams David L DL Sayed Ahmed A AA Bernier Jeremiah J Birkeland Shanda R SR Cipriano Michael J MJ Papa Alexandria R AR McArthur Andrew G AG Taft Andrew A Vermeire Jon J JJ Yoshino Timothy P TP

Experimental parasitology 20070513 3

Despite the widespread use of chemotherapy and other control strategies over the past 50years, transmission rates for schistosomiasis have changed little. Regardless of the approach used, future control efforts will require a more complete understanding of fundamental parasite biology. Schistosomes undergo complex development involving an alteration of parasite generations within a mammalian and freshwater molluscan host in the completion of its lifecycle. Little is known about factors controlli ...[more]

PMID: 17577588

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Project description:BACKGROUND: Five species of the genus Schistosoma, a parasitic trematode flatworm, are causative agents of Schistosomiasis, a disease that is endemic in a large number of developing countries, affecting millions of patients around the world. By using SAGE (Serial Analysis of Gene Expression) we describe here the first large-scale quantitative analysis of the Schistosoma mansoni transcriptome, one of the most epidemiologically relevant species of this genus. RESULTS: After extracting mRNA from pooled male and female adult-worms, a SAGE library was constructed and sequenced, generating 68,238 tags that covered more than 6,000 genes expressed in this developmental stage. An analysis of the ordered tag-list shows the genes of F10 eggshell protein, pol-polyprotein, HSP86, 14-3-3 and a transcript yet to be identified to be the five top most abundant genes in pooled adult worms. Whereas only 8% of the 100 most abundant tags found in adult worms of S. mansoni could not be assigned to transcripts of this parasite, 46.9% of the total ditags could not be mapped, demonstrating that the 3 sequence of most of the rarest transcripts are still to be identified. Mapping of our SAGE tags to S. mansoni genes suggested the occurrence of alternative-polyadenylation in at least 13 gene transcripts. Most of these events seem to shorten the 3 UTR of the mRNAs, which may have consequences over their stability and regulation. CONCLUSION: SAGE revealed the frequency of expression of the majority of the S. mansoni genes. Transcriptome data suggests that alternative polyadenylation is likely to be used in the control of mRNA stability in this organism. When transcriptome was compared with the proteomic data available, we observed a correlation of about 50%, suggesting that both transcriptional and post-transcriptional regulation are important for determining protein abundance in S. mansoni. The generation of SAGE tags from other life-cycle stages should contribute to reveal the dynamics of gene expression in this important parasite.

Project description:The analysis of differentially expressed genes is a powerful approach to elucidate the genetic mechanisms underlying the morphological and evolutionary diversity among serially homologous structures, both within the same organism (e.g., hand vs. foot) and between different species (e.g., hand vs. wing). In the developing embryo, limb-specific expression of Pitx1, Tbx4, and Tbx5 regulates the determination of limb identity. However, numerous lines of evidence, including the fact that these three genes encode transcription factors, indicate that additional genes are involved in the Pitx1-Tbx hierarchy. To examine the molecular distinctions coded for by these factors, and to identify novel genes involved in the determination of limb identity, we have used Serial Analysis of Gene Expression (SAGE) to generate comprehensive gene expression profiles from intact, developing mouse forelimbs and hindlimbs. To minimize the extraction of erroneous SAGE tags from low-quality sequence data, we used a new algorithm to extract tags from -analyzed sequence data and obtained 68,406 and 68,450 SAGE tags from forelimb and hindlimb SAGE libraries, respectively. We also developed an improved method for determining the identity of SAGE tags that increases the specificity of and provides additional information about the confidence of the tag-UniGene cluster match. The most differentially expressed gene between our SAGE libraries was Pitx1. The differential expression of Tbx4, Tbx5, and several limb-specific Hox genes was also detected; however, their abundances in the SAGE libraries were low. Because numerous other tags were differentially expressed at this low level, we performed a 'virtual' subtraction with 362,344 tags from six additional nonlimb SAGE libraries to further refine this set of candidate genes. This subtraction reduced the number of candidate genes by 74%, yet preserved the previously identified regulators of limb identity. This study presents the gene expression complexity of the developing limb and identifies candidate genes involved in the regulation of limb identity. We propose that our computational tools and the overall strategy used here are broadly applicable to other SAGE-based studies in a variety of organisms. [SAGE data are all available at GEO (http://www.ncbi.nlm.nih.gov/geo/) under accession nos. GSM55 and GSM56, which correspond to the forelimb and hindlimb raw SAGE data.]

Dataset Information

Profiling Schistosoma mansoni development using serial analysis of gene expression (SAGE).

Publications

Profiling Schistosoma mansoni development using serial analysis of gene expression (SAGE).

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