Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

High recombination rates and hotspots in a Plasmodium falciparum genetic cross.

ABSTRACT: We used a high-density tiling array to estimate genetic recombination rate among 32 independent recombinant progeny of a P. falciparum genetic cross (7G8 M-CM-^W GB4). We detected 3184 segregating multi-probe single-feature polymorphisms (mSFPs) and 638 recombination events (496 excluding those from subtelomeric regions). These data, in combination with results from 254 previously reported microsatellites, enabled us to construct a high-resolution genetic map. Comparing genetic and physical maps, we obtained an overall recombination rate of 9.6 kb/cM (12.8 kb/cM excluding subtelomeric regions) and identified 54 hotspots, some of which occurred in genes encoding surface antigens or proteins with repetitive motifs that might play a role in genetic recombination in the parasite. Motifs enriched in hotspots were also identified. In agreement with results from a previous cross (HB3 M-BM-4 Dd2), there was positive correlation between sizes of individual chromosomes and their recombination events. These results show that the P. falciparum genome is highly recombinogenic, providing an important genetic basis for parasite survival under various selection pressures. GC-rich repetitive motifs identified in the hotspot sequences may play a role in the high recombination frequency observed. Ten microgram of genomic DNA, extracted and purified from 3D7 (reference), thirty-two P. falciparum independent recombinant progeny of the 7G8 x GB4 cross, and the two parental lines (Hayton, 2008), were hybridized to the PFSANGER GenechipM-BM-. (Affymetrix, Inc., Santa Clara, CA, USA). The scanned image CEL files were first processed using the RMA method, then averaged and compared with reference genome 3D7, and lastly assigned either 7G8 or GB4 alleles based on similarities to the two parental lines. Total of 35 genomic DNA samples (biological replicates: 6 for 3D7, 4 for 7G8, 4 for GB4, and 2 for Pf_WE2). The supplementary file 'GSE25656_QuantNormData_Log2_AllSamples.txt' contains the RMA-normalized data for all of the samples. The supplementary files 'GSE25656_chr*' contain the parental allele assignment of each chromosome and include probe-level annotation.

ORGANISM(S): Plasmodium falciparum

SUBMITTER: Hongying Jiang

PROVIDER: E-GEOD-25656 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Genomic variation is an inherent phenomena observed among members of same species belonging to different geographical locations. In case of P. falciparum, an apicomplexan protozoan parasite, its 22.8 MB nuclear genome is known to display vast genetic diversity in the subtelomeric compartments having but not exclusively variant gene families like var, rifins and stevors and examples in other elements of the genome have recently been documented. Microarrays, relies solely on the genomic sequence information to capture the relevant transcript abundance and needs to consider these variations into account for revealing true transcriptional variation.Here, we describe the designing strategy of a custom P. falciparum 15K array using Agilent platform to study the transcriptome of Indian field isolates for which genome sequence information is limited. Array contains probes representing genome sequence of two distinct geographical isolates (i.e 3D7 and HB3) and subtelomeric var gene sequence of a third isolate (IT4) known to adhere in culture condition. Probes in the array have been selected based on their efficiency to detect transcripts by performing a 244K array experiment representing multiple probes per gene/transcript. Array performance was evaluated and validated using RNA materials from P. falciparum clinical isolates obtained directly from patients with differing clinical conditions due to malaria infection.Due to pre probe screening large percentage (91 %) of the represented transcripts could be detected from Indian P. falciparum isolates. Replicated probes and multiple probes representing the same gene showed perfect correlation between them suggesting good probe performance. Additional transcripts could be detected due to inclusion of unique probes representing HB3 strain transcripts. Variant surface antigen (VSA) transcripts were detected by optimized probes representing the VSA genes of three geographically distinct strains. Plasmodium falciparum isolates were collected from patients (n=13) with differing clinical conditions. The patients exhibited symptoms categorized as uncomplicated (n=6) or complicated malaria (n=7). Criteria for determination of complicated disease were based on World Health Organization year 2000 guidelines. Microarray array based transcriptional profiling was carried out to evaluate the performance of the array.

Dataset Information

High recombination rates and hotspots in a Plasmodium falciparum genetic cross.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure