The Schistosoma japonicum genome reveals features of host–parasite interplay
Top Cited Papers
Open Access
- 16 July 2009
- journal article
- research article
- Published by Springer Nature in Nature
- Vol. 460 (7253) , 345-351
- https://doi.org/10.1038/nature08140
Abstract
Schistosoma japonicum is a parasitic flatworm that causes human schistosomiasis, which is a significant cause of morbidity in China and the Philippines. Here we present a draft genomic sequence for the worm. The genome provides a global insight into the molecular architecture and host interaction of this complex metazoan pathogen, revealing that it can exploit host nutrients, neuroendocrine hormones and signalling pathways for growth, development and maturation. Having a complex nervous system and a well-developed sensory system, S. japonicum can accept stimulation of the corresponding ligands as a physiological response to different environments, such as fresh water or the tissues of its intermediate and mammalian hosts. Numerous proteases, including cercarial elastase, are implicated in mammalian skin penetration and haemoglobin degradation. The genomic information will serve as a valuable platform to facilitate development of new interventions for schistosomiasis control.Keywords
This publication has 87 references indexed in Scilit:
- The genome of the blood fluke Schistosoma mansoniNature, 2009
- Finding genes in Schistosoma japonicum: annotating novel genomes with help of extrinsic evidenceNucleic Acids Research, 2009
- KEGG for linking genomes to life and the environmentNucleic Acids Research, 2007
- The Universal Protein Resource (UniProt)Nucleic Acids Research, 2007
- SmedGD: the Schmidtea mediterranea genome databaseNucleic Acids Research, 2007
- Sea Anemone Genome Reveals Ancestral Eumetazoan Gene Repertoire and Genomic OrganizationScience, 2007
- Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at riskThe Lancet Infectious Diseases, 2006
- De novo identification of repeat families in large genomesBioinformatics, 2005
- An efficient algorithm for large-scale detection of protein familiesNucleic Acids Research, 2002
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choiceNucleic Acids Research, 1994