Plasmodium copy number variation scan: gene copy numbers evaluation in haploid genomes. (December 2016)

• Record Type: Journal Article
• Authors: Beghain, Johann; Langlois, Anne-Claire; Legrand, Eric; Grange, Laura; Khim, Nimol; Witkowski, Benoit; Duru, Valentine; Ma, Laurence; Bouchier, Christiane; Ménard, Didier; Paul, Richard; Ariey, Frédéric
• Is Part Of: Malaria journal. Volume 15:Number 1(2016)
• Page Start: 1
• Page End: 6
• Publication Date: 2016-12
• Subjects: Malaria -- Anti-malarial drug resistance -- Copy number variation -- Bioinformatics; Malaria -- Periodicals; 616.9362
• DOI: 10.1186/s12936-016-1258-x
• Languages: English
• ISSNs: 1475-2875

Abstract

Abstract Background In eukaryotic genomes, deletion or amplification rates have been estimated to be a thousand more frequent than single nucleotide variation. InPlasmodium falciparum, relatively few transcription factors have been identified, and the regulation of transcription is seemingly largely influenced by gene amplification events. Thus copy number variation (CNV) is a major mechanism enabling parasite genomes to adapt to new environmental changes. Methods Currently, the detection of CNVs is based on quantitative PCR (qPCR), which is significantly limited by the relatively small number of genes that can be analysed at any one time. Technological advances that facilitate whole-genome sequencing, such as next generation sequencing (NGS) enable deeper analyses of the genomic variation to be performed. Because the characteristics ofPlasmodium CNVs need special consideration in algorithms and strategies for which classical CNV detection programs are not suited a dedicated algorithm to detect CNVs across the entire exome ofP. falciparum was developed. This algorithm is based on a custom read depth strategy through NGS data and called PlasmoCNVScan. Results The analysis of CNV identification on three genes known to have different levels of amplification and which are located either in the nuclear, apicoplast or mitochondrial genomes is presented. The results are correlated with the qPCR experiments, usually used for identification of locus specific amplification/deletion. Conclusions This tool will facilitate the study ofP. falciparum genomic adaptation in response to ecological changes: drug pressure, decreased transmission, reduction of the parasite population size (transition to pre-elimination endemic area).