PlasmoDB: the Plasmodium genome resource. A database integrating experimental and computational data

PlasmoDB (http://PlasmoDB.org) is the official database of the Plasmodium falciparum genome sequencing consortium. This resource incorporates the recently completed P. falciparum genome sequence and annotation, as well as draft sequence and annotation emerging from other Plasmodium sequencing projects. PlasmoDB currently houses information from five parasite species and provides tools for intra- and inter-species comparisons. Sequence information is integrated with other genomic-scale data emerging from the Plasmodium research community, including gene expression analysis from EST, SAGE and microarray projects and proteomics studies. The relational schema used to build PlasmoDB, GUS (Genomics Unified Schema) employs a highly structured format to accommodate the diverse data types generated by sequence and expression projects. A variety of tools allow researchers to formulate complex, biologically-based, queries of the database. A stand-alone version of the database is also available on CD-ROM (P. falciparum GenePlot), facilitating access to the data in situations where internet access is difficult (e.g. by malaria researchers working in the field). The goal of PlasmoDB is to facilitate utilization of the vast quantities of genomic-scale data produced by the global malaria research community. The software used to develop PlasmoDB has been used to create a second Apicomplexan parasite genome database, ToxoDB (http://ToxoDB.org).     

Malaria research in the post-genomic era

Genomic sequence determination of Plasmodium falciparum and other species of the genus, as well as that of Anopheles gambiae, and human, rat and mouse genome sequencing have completely changed the landscape of fundamental research about malaria. These data should urgently be exploited, in order to develop new tools to combat the disease: new drugs, fine dissection of the cascade of events following infection of the various vector species and vertebrate host, analysis of the complex interaction leading to the pathology or, inversely, contributing to sustained protection. Powerful population biology tools are now available, allowing to investigate genetic exchanges within natural population and to identify factors structuring parasitic and vector populations. Nevertheless, important impediments persist, including the complexity of experimental systems and the unclear relevance of animals models. Numerous challenges are to be faced; they call upon a more efficient organisation of research efforts in the systematic explorations using the powerful novel post-genomic technologies, as well as the development of new tools and experimental models required by functional genomics and integrative biology.     

Fractionation and identification of proteins by 2-DE and MS: towards a proteomic analysis of Plasmodium falciparum

Since completion of genome sequencing of the malarial parasite Plasmodium falciparum, proteomic tools for the identification of parasite proteins have become particularly attractive as they allow a more thorough interpretation of these data. Recent advances in 2-D PAGE, MS, and bioinformatics have created great opportunities for mapping and characterization of protein populations. We employed these improvements in a proteomic approach for the analysis of proteins detected in two blood stages of P. falciparum, (i) in the schizont stage and (ii) in the merozoite stage. For the isolation of merozoites, we introduced a new protocol based on the preparation of clustered structures of merozoites upon treatment of cultures with the common cysteine proteinase inhibitor E64. Peptide mass fingerprints of excised and trypsinated protein spots, acquired by MALDI-TOF MS were generated to identify a variety of proteins. Moreover, prefractionation procedures were used to enrich and map low-abundance proteins in protein samples. The data demonstrate that classic proteomic analyses using 2-D PAGE are now feasible for P. falciparum and represent the first step in the direction of creating 2-D reference maps for this medically most relevant protozoon.     

The conserved genome organisation of non-falciparum malaria species: the need to know more

The current knowledge on genomes of non-falciparum malaria species and the potential of model malaria parasites for functional analyses are reviewed and compared with those of the most pathogenic human parasite, Plasmodium falciparum. There are remarkable similarities in overall genome composition among the different species at the level of chromosome organisation and chromosome number, conserved order of individual genes, and even conserved functions of specific gene domains and regulatory control elements. With the initiative taken to sequence the genome of P. falciparum, a wealth of information is already becoming available to the scientific community. In order to exploit the biological information content of a complete genome sequence, simple storage of the bulk of sequence data will be inadequate. The requirement for functional analyses to determine the biological role of the open reading frames is commonly accepted and knowledge of the genomes of the animal model malaria species will facilitate these analyses. Detailed comparative genome information and sequencing of additional Plasmodium genomes will provide a deeper insight into the evolutionary history of the species, the biology of the parasite, and its interactions with the mammalian host and mosquito vector. Therefore, an extended and integrated approach will enhance our knowledge of malaria and will ultimately lead to a more rational approach that identifies and evaluates new targets for anti-malarial drug and vaccine development.     

An effective method to purify Plasmodium falciparum DNA directly from clinical blood samples for whole genome high-throughput sequencing

Highly parallel sequencing technologies permit cost-effective whole genome sequencing of hundreds of Plasmodium parasites. The ability to sequence clinical Plasmodium samples, extracted directly from patient blood without a culture step, presents a unique opportunity to sample the diversity of "natural" parasite populations in high resolution clinical and epidemiological studies. A major challenge to sequencing clinical Plasmodium samples is the abundance of human DNA, which may substantially reduce the yield of Plasmodium sequence. We tested a range of human white blood cell (WBC) depletion methods on P. falciparum-infected patient samples in search of a method displaying an optimal balance of WBC-removal efficacy, cost, simplicity, and applicability to low resource settings. In the first of a two-part study, combinations of three different WBC depletion methods were tested on 43 patient blood samples in Mali. A two-step combination of Lymphoprep plus Plasmodipur best fitted our requirements, although moderate variability was observed in human DNA quantity. This approach was further assessed in a larger sample of 76 patients from Burkina Faso. WBC-removal efficacy remained high (<30% human DNA in >70% samples) and lower variation was observed in human DNA quantities. In order to assess the Plasmodium sequence yield at different human DNA proportions, 59 samples with up to 60% human DNA contamination were sequenced on the Illumina Genome Analyzer platform. An average ~40-fold coverage of the genome was observed per lane for samples with ≤ 30% human DNA. Even in low resource settings, using a simple two-step combination of Lymphoprep plus Plasmodipur, over 70% of clinical sample preparations should exhibit sufficiently low human DNA quantities to enable ~40-fold sequence coverage of the P. falciparum genome using a single lane on the Illumina Genome Analyzer platform. This approach should greatly facilitate large-scale clinical and epidemiologic studies of P. falciparum.     

The Plasmodium vivax genome sequencing project

With the successful completion of the project to sequence the Plasmodium falciparum genome, researchers are now turning their attention to other malaria parasite species. Here, an update on the Plasmodium vivax genome sequencing project is presented, as part of the Trends in Parasitology series of reviews expanding on various aspects of P. vivax research.     

An update on the search for a Plasmodium vivax vaccine

Although Plasmodium falciparum is the leading cause of morbidity and mortality due to malaria worldwide, nearly 2.5 billion people, mostly outside Africa, are also at risk from malaria caused by Plasmodium vivax infection. Currently, almost all efforts to develop a malaria vaccine have focused on P. falciparum. For example, there are 23 P. falciparum vaccine candidates undergoing advanced clinical studies and only two P. vivax vaccine candidates being tested in preliminary (Phase I) clinical trials, with few others being assessed in preclinical studies. More investment and a greater effort toward the development of P. vivax vaccine components for a multi-species vaccine are required. This is mainly because of the wide geographical coexistence of both parasite species but also because of increasing drug resistance, recent observations of severe and lethal P. vivax cases and relapsing parasite behaviour. Availability of the P. vivax genome has contributed to antigen discovery but new means to test vaccines in future trials remain to be designed.     

Assessing the impact of Plasmodium falciparum genome sequencing

With the publication of the complete sequences for chromosomes 2 and 3 and the increasing availability of shotgun sequence covering most of its genome, Plasmodium falciparum biology is entering its post-genomic era. Analysis of the results generated to date has identified higher-order organisation of gene families involved in parasite pathology, provided information regarding the unique biology of this parasite and allowed the identification of potential chemotherapeutic drug targets. Continuing efforts to complete the P. falciparum genome and the availability of sequences from other protozoan parasites will facilitate a broader understanding of their biology, particularly with respect to their pathogenicity.     

Interpolated Markov models for eukaryotic gene finding.

Computational gene finding research has emphasized the development of gene finders for bacterial and human DNA. This has left genome projects for some small eukaryotes without a system that addresses their needs. This paper reports on a new system, GlimmerM, that was developed to find genes in the malaria parasite Plasmodium falciparum. Because the gene density in P. falciparum is relatively high, the system design was based on a successful bacterial gene finder, Glimmer. The system was augmented with specially trained modules to find splice sites and was trained on all available data from the P. falciparum genome. Although a precise evaluation of its accuracy is impossible at this time, laboratory tests (using RT-PCR) on a small selection of predicted genes confirmed all of those predictions. With the rapid progress in sequencing the genome of P. falciparum, the availability of this new gene finder will greatly facilitate the annotation process.     

The blood-stage dynamics of mixed Plasmodium malariae-Plasmodium falciparum infections.

We present the first mathematical model of the within-host dynamics of a mixed-species malaria infection in a human: the blood-stage population dynamics of a dual infection with Plasmodium malariae and Plasmodium falciparum. Our results reproduce several important features of such infections in nature, including the asymmetry of species asexual-form densities, inter-specific suppression through interactions with the human immune system, and seasonal alternations in species prevalence. Most importantly, our results suggest that an existing P. malariae infection can reduce the peak parasitemia of a subsequent P. falciparum superinfection by as much as 50%. This result integrates numerous empirical observations and supports the hypothesis that clinical outcomes of P. falciparum infections may be influenced by the presence of a congener.     

Construction of non-symmetric substitution matrices derived from proteomes with biased amino acid distributions

Automatic comparison of compositionally biased genomes, such as that of the malarial causative agent Plasmodium falciparum (82% adenosine + thymidine), with genomes of average composition, is currently limited. Indeed, popular tools such as BLAST require that amino acid distributions be similar in aligned sequences. However, the P. falciparum genome is so biased that six amino acids account for more than 50% of the protein composition. One reason for the comparison methods failure lies in the compositional difference between the query and the subject proteomes, which is not taken into account in the amino acid substitution matrices. This paper introduces a method to derive substitution matrices, in particular BLOSUM 62, in the frame of the information theory. It allows the construction of non-symmetrical matrices, taking into account the non-symmetric amino acid distributions. The dirAtPf family of matrices allowing the comparison of P. falciparum and A. thaliana is given as an example. This paper further provides an analysis of the obtained matrices in the frame of the information theory, supporting the discrimination advantage they bring.     

Transfection of the human malaria parasite Plasmodium falciparum.

In the past few years, methods have been developed which allow the introduction of exogenous DNA into the human malaria parasite Plasmodium falciparum. This important technical advance known as parasite transfection, provides powerful new tools to study the function of Plasmodium proteins and their roles in biology and disease. Already it has allowed the analysis of promoter function and has been successfully applied to establish the role of particular molecules and/or mutations in the biology of this parasite. This review summarises the current state of the technology and how it has been applied to dissect the function of the P. falciparum genome.     

Using transgenic modulation of protein synthesis and accumulation to probe protein signaling networks in Arabidopsis thaliana

Deployment of new model species in the plant biology community requires the development and/or improvement of numerous genetic tools. Sequencing of the Arabidopsis thaliana genome opened up a new challenge of assigning biological function to each gene. As many genes exhibit spatiotemporal or other conditional regulation of biological processes, probing for gene function necessitates applications that can be geared toward temporal, spatial and quantitative functional analysis in vivo. The continuing quest to establish new platforms to examine plant gene function has resulted in the availability of numerous genomic and proteomic tools. Classical and more recent genome-wide experimental approaches include conventional mutagenesis, tagged DNA insertional mutagenesis, ectopic expression of transgenes, activation tagging, RNA interference and two-component transactivation systems. The utilization of these molecular tools has resulted in conclusive evidence for the existence of many genes, and expanded knowledge on gene structure and function. This review covers several molecular tools that have become increasingly useful in basic plant research. We discuss their advantages and limitations for probing cellular protein function while emphasizing the contributions made to lay the fundamental groundwork for genetic manipulation of crops using plant biotechnology.Key words: enhancer trap, RNAi, plant transformation, transactivation, transgenic     

Plasmodium research in the postgenomic era

The complete genomic sequence of Plasmodium falciparum strain 3D7 was published in October 2002. At the Next Steps in Malaria Research meeting in April 2005, the next practical steps were considered and the priorities ranked for postgenomic research in Plasmodium. The high-throughput approaches that will help to answer the major biological questions regarding Plasmodium should, like the genome project itself, build community-shared resources, and efforts must be made to help researchers ready themselves to use the tools that will become available.     

Evaluation of OptiMAL Assay test to detect imported malaria in Italy

This study evaluated a newly developed rapid malaria diagnostic test, OptiMAL Assay, to detect "Plasmodium falciparum malaria" and "non Plasmodium falciparum malaria" in blood samples from 139 individuals with a presumptive clinical diagnosis of imported malaria in Italy. OptiMAL Assay utilizes a dipstick coated with monoclonal antibodies against the intracellular metabolic enzyme, plasmodium Lactate Dehydrogenase (pLDH) present in and released from parasite-infected erythrocytes. Blood samples from 56 cases out of 139 were found "Plasmodium falciparum malaria" positive by microscopy; with these samples OptiMAL Assay and the ParaSight-F test, which is a kit detecting the P. falciparum histidin-rich protein 2 (HRP-2), showed an overall sensitivity of 83% and 94%, respectively, in comparison with microscopy. Parasitemia levels tested in the 56 P. falciparum positive blood samples by microscopy ranged from <0.004% to 20%. A correlation between sensitivity and parasitemia was evident and OptiMAL Assay and ParaSight-F test were more sensitive (96-100%; 100%) with samples with 0.1%-20% levels of parasitemia, while proved less sensitive (0-44%; 50-88%) with <0.004-0.01% levels of parasitemia.     

Parasite genome initiatives

During 1993-1994, scientists from developing and developed countries planned and initiated a number of parasite genome projects and several consortiums for the mapping and sequencing of these medium-sized genomes were established, often based on already ongoing scientific collaborations. Financial and other support came from WHO/TDR, Wellcome Trust and other funding agencies. Thus, the genomes of Plasmodium falciparum, Schistosoma mansoni, Trypanosoma cruzi, Leishmania major, Trypanosoma brucei, Brugia malayi and other pathogenic nematodes are now under study. From an initial phase of network formation, mapping efforts and resource building (EST, GSS, phage, cosmid, BAC and YAC library constructions), sequencing was initiated in gene discovery projects but soon also on a small chromosome, and now on a fully fledged genome scale. Proteomics, functional analysis, genetic manipulation and microarray analysis are ongoing to different degrees in the respective genome initiatives, and as the funding for the whole genome sequencing becomes secured, most of the participating laboratories, apart from larger sequencing centres, become oriented to post-genomics. Bioinformatics networks are being expanded, including in developing countries, for data mining, annotation and in-depth analysis.