Details

Autor(en) / Beteiligte

• Protasio, Anna V
• Tsai, Isheng J
• Babbage, Anne
• Nichol, Sarah
• Hunt, Martin
• Aslett, Martin A
• De Silva, Nishadi
• Velarde, Giles S
• Anderson, Tim J C
• Clark, Richard C
• Davidson, Claire
• Dillon, Gary P
• Holroyd, Nancy E
• LoVerde, Philip T
• Lloyd, Christine
• McQuillan, Jacquelline
• Oliveira, Guilherme
• Otto, Thomas D
• Parker-Manuel, Sophia J
• Quail, Michael A
• Wilson, R Alan
• Zerlotini, Adhemar
• Dunne, David W
• Berriman, Matthew
• Hoffmann, Karl F.

Titel

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

Ist Teil von

• PLoS neglected tropical diseases, 2012-01, Vol.6 (1), p.e1455-e1455

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2012

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.