2011
DOI: 10.1128/jcm.02603-10
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Applied Genomics: Data Mining Reveals Species-Specific Malaria Diagnostic Targets More Sensitive than 18S rRNA

Abstract: Accurate and rapid diagnosis of malaria infections is crucial for implementing species-appropriate treatment and saving lives. Molecular diagnostic tools are the most accurate and sensitive method of detecting Plasmodium, differentiating between Plasmodium species, and detecting subclinical infections. Despite available whole-genome sequence data for Plasmodium falciparum and P. vivax, the majority of PCR-based methods still rely on the 18S rRNA gene targets. Historically, this gene has served as the best targ… Show more

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Cited by 87 publications
(124 citation statements)
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“…Candidate primer sets targeting dhfr were designed for P. vivax, P. malariae, and P. ovale and were accepted if they had 100% alignment to all available sequences of the target species and reduced alignment to other species. The species-specific regions targeted for P. falciparum and P. knowlesi were based on prior reports (17,18), and the corresponding published primers were adopted with minor modifications (Table 1). Primer conditions were optimized using control nucleic acids for each species, and the expected melting temperature for each species amplicon was determined.…”
Section: Resultsmentioning
confidence: 99%
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“…Candidate primer sets targeting dhfr were designed for P. vivax, P. malariae, and P. ovale and were accepted if they had 100% alignment to all available sequences of the target species and reduced alignment to other species. The species-specific regions targeted for P. falciparum and P. knowlesi were based on prior reports (17,18), and the corresponding published primers were adopted with minor modifications (Table 1). Primer conditions were optimized using control nucleic acids for each species, and the expected melting temperature for each species amplicon was determined.…”
Section: Resultsmentioning
confidence: 99%
“…Primer sensitivities were evaluated in silico by querying with BLAST against all complete dhfr coding sequences available for the respective species in the NCBI nucleotide database: 19 sequences for P. vivax, 8 for P. ovale, and 9 for P. malariae. Species-specific primers targeting repetitive sequences in P. falciparum and P. knowlesi have been described previously (17,18) and were adopted with minor modifications (Table 1). The pan-Plasmodium primers target highly conserved sequences in the 18S rRNA gene and encompass a region of ϳ320 bp with internal sequence divergence that is sufficient to allow for species discrimination by sequencing.…”
Section: Methodsmentioning
confidence: 99%
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“…This multiplex assay contains primers and probes for two possible malaria targets: the Pfr364 repetitive element, which is specific to P. falciparum, and a region of the 18S rRNA gene that is conserved across the five Plasmodium species known to cause human disease. Given that more copies of the Pfr364 element are present in the P. falciparum genome than in the 18S rRNA target, samples with detectable signal for Pfr364 were interpreted as positive for P. falciparum, even in the absence of signal for the 18S target (16). Samples with detectable signal only for the 18S target were considered positive for "Plasmodium, nonfalciparum."…”
Section: Methodsmentioning
confidence: 99%
“…Due to the recent advancements in technology, several malaria diagnostic techniques such as microarray [17], PCR [18], loop-mediated isothermal amplification (LAMP) [19], flow cytometry [20], hemozoin detection using automated hematology analyser [21] have been developed for efficient malaria diagnosis. Diagnostic methods leveraging PCR, 18s-rRNA detection [22], mitochondrial cytochrome b activity [23,24], PgMt19 and PfMT869 mitochondrial regions [25], and the Pvr47 and Pfr364 genes [26,27], have been used for detecting Plasmodium species. However, quantitative amplification of genes demands careful processing of blood to remove the inhibitors of amplification and thermal cycling, making it a cumbersome procedure.…”
Section: Introductionmentioning
confidence: 99%