This database aims to assemble a comprehensive collection of structured phenotyping data from attempts to knock out Plasmodium genes. It is curated by Theo Sanderson, a post-doc at the Wellcome Trust Sanger Institute. You can see the number of phenotyped genes per species on our statistics page. The PhenoPlasm manuscript has now been published in Wellcome Open Research.
A major portion of the data on this site comes from the Rodent Malaria genetically modified parasites database (RMgmDB), the Adams lab saturation screen in P. falciparum and from PlasmoGEM. Clicking on the Reference link for rodent phenotypes will take you to the RMgmDB or PlasmoGEM page for that disruption attempt, which will often contain more detailed phenotyping information.
Other data is collated from the literature by the curator or other users - here the reference link will take you to the PubMed page for the publication in question, which will have further details on the experiments involved.
We now also display immunofluorescence images from Malaria Metabolic Pathways, these are compiled by Hagai Ginsburg and simply replicated here to provide as much experimental data for the particular gene as possible.
It is easy to contribute data to PhenoPlasm, simply click the [+] button next to the Phenotypes heading. We are not a primary datasource, so please include a PubMed ID or other reference to the description of the experiment generating the phenotype.
Please prioriotise submitting any data on rodent malaria parasites to RMgmDB, from which it will ultimately be mirrored here.
Orthologs are genes in different species which have a common ancestor, e.g. PfAMA1 and PbAMA1. In general these are expected to have the same function in the various species, and so to have the same phenotype when knocked out. Because of this we display information from orthologs in other species when you search for a gene. These are displayed on the search page with semi-transparent icons so you know they represent orthologous results.
We have a data dump of all phenotypes in the dataset. You can aso extract data from any search in CSV format. Details of the taxonomy used in CSV format are available here. You can also conduct a search, or advanced search, without entering any gene IDs to see summary data.
Please email the curator if you spot any errors. If subsequent publications contradict previous results please add the data from them, as described above.