A systematically improved high quality genome and transcriptome of the human blood fluke Schistosoma mansoni.

• Autor(a) principal: PROTASIO, A. V.
• Data de Publicação: 2012
• Outros Autores: TSAI, I. J., BABBAGE, A., NICHOL, S., HUNT, M., ASLETT, M. A., SILVA, N. de, VELARDE, G. S., ANDERSON, T. J. C., CLARK, R. C., DAVIDSON, C., DILLON, G. P., HOLROYD, N. E., LOVERDE, P. T., LLOYD, C., MCQUILLAN, J., OLIVEIRA, G., OTTO, T. D., PARKER-MANUEL, S. J., QUAIL, M. A., WILSON, R. A., ZERLOTINI, A., DUNNE, D. W., BERRIMAN, M.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/940202
• topic: Schistosoma

Schistosomiasis is one of the most prevalent parasitic diseases, affecting millions of people in developing countries. Amongst the human-infective species, Schistosoma mansoni is also the most commonly used in the laboratory and here we present the systematic improvement of its draft genome. We used Sanger capillary and deep-coverage Illumina sequencing from clonal worms to upgrade the highly fragmented draft 380 Mb genome to one with only 885 scaffolds and more than 81% of the bases organised into chromosomes. We have also used transcriptome sequencing (RNA-seq) from four time points in the parasite?s life cycle to refine gene predictions and profile their expression. More than 45% of predicted genes have been extensively modified and the total number has been reduced from 11,807 to 10,852. Using the new version of the genome, we identified trans-splicing events occurring in at least 11% of genes and identified clear cases where it is used to resolve polycistronic transcripts. We have produced a high-resolution map of temporal changes in expression for 9,535 genes, covering an unprecedented dynamic range for this organism. All of these data have been consolidated into a searchable format within the GeneDB (www.genedb.org) and SchistoDB (www.schistodb.net) databases. With further transcriptional profiling and genome sequencing increasingly accessible, the upgraded genome will form a fundamental dataset to underpin further advances in schistosome research.