Dataset Information

Development of Cooperative Primer-Based Real-Time PCR Assays for the Detection of Plasmodium malariae and Plasmodium ovale.

ABSTRACT: Plasmodium malariae and Plasmodium ovale are increasingly gaining public health attention as the global transmission of falciparum malaria is decreasing. However, the absence of reliable Plasmodium species-specific detection tools has hampered accurate diagnosis of these minor Plasmodium species. In this study, SYBR Green-based real-time PCR assays were developed for the detection of P. malariae and P. ovale using cooperative primers that significantly limit the formation and propagation of primers-dimers. Both the P. malariae and P. ovale cooperative primer-based assays had at least 10-fold lower detection limit compared with the corresponding conventional primer-based assays. More important, the cooperative primer-based assays were evaluated in a cross-sectional study using 560 samples obtained from two health facilities in Ghana. The prevalence rates of P. malariae and P. ovale among the combined study population were 18.6% (104/560) and 5.5% (31/560), respectively. Among the Plasmodium-positive cases, P. malariae and P. ovale mono-infections were 3.6% (18/499) and 1.0% (5/499), respectively, with the remaining being co-infections with Plasmodium falciparum. The study demonstrates the public health importance of including detection tools with lower detection limits in routine diagnosis and surveillance of nonfalciparum species. This will be necessary for comprehensively assessing the effectiveness of malaria interventions and control measures aimed toward global malaria elimination.

SUBMITTER: Ansah F

PROVIDER: S-EPMC8591562 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Development of Cooperative Primer-Based Real-Time PCR Assays for the Detection of Plasmodium malariae and Plasmodium ovale.

Ansah Felix F Suurbaar Jonathan J Darko Derrick D Anabire Nsoh G NG Blankson Samuel O SO Domson Bright K S BKS Soulama Alamissa A Kpasra Paulina P Chirawurah Jersley D JD Amenga-Etego Lucas L Kanyong Prosper P Awandare Gordon A GA Aniweh Yaw Y

The Journal of molecular diagnostics : JMD 20210820 10

Plasmodium malariae and Plasmodium ovale are increasingly gaining public health attention as the global transmission of falciparum malaria is decreasing. However, the absence of reliable Plasmodium species-specific detection tools has hampered accurate diagnosis of these minor Plasmodium species. In this study, SYBR Green-based real-time PCR assays were developed for the detection of P. malariae and P. ovale using cooperative primers that significantly limit the formation and propagation of prim ...[more]

PMID: 34425259

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Project description:BackgroundThe parasite species Plasmodium ovalecurtisi (P. ovalecurtisi) and Plasmodium ovalewallikeri (P. ovalewallikeri), formerly known as Plasmodium ovale, are endemic across multiple African countries. These species are thought to differ in clinical symptomatology and latency, but only a small number of existing diagnostic assays can detect and distinguish them. In this study, we sought to develop new assays for the detection and differentiation of P. ovalecurtisi and P. ovalewallikeri by leveraging recently published whole-genome sequences for both species.MethodsRepetitive sequence motifs were identified in available P. ovalecurtisi and P. ovalewallikeri genomes and used for assay development and validation. We evaluated the analytical sensitivity of the best-performing singleplex and duplex assays using synthetic plasmids. We then evaluated the specificity of the duplex assay using a panel of samples from Tanzania and the Democratic Republic of the Congo (DRC), and validated its performance using 55 P. ovale samples and 40 non-ovale Plasmodium samples from the DRC.ResultsThe best-performing P. ovalecurtisi and P. ovalewallikeri targets had 9 and 8 copies within the reference genomes, respectively. The P. ovalecurtisi assay had high sensitivity with a 95% confidence lower limit of detection (LOD) of 3.6 parasite genome equivalents/μl, while the P. ovalewallikeri assay had a 95% confidence LOD of 25.9 parasite genome equivalents/μl. A duplex assay targeting both species had 100% specificity and 95% confidence LOD of 4.2 and 41.2 parasite genome equivalents/μl for P. ovalecurtisi and P. ovalewallikeri, respectively.ConclusionsWe identified promising multi-copy targets for molecular detection and differentiation of P. ovalecurtisi and P. ovalewallikeri and used them to develop real-time PCR assays. The best performing P. ovalecurtisi assay performed well in singleplex and duplex formats, while the P. ovalewallikeri assay did not reliably detect low-density infections in either format. These assays have potential use for high-throughput identification of P. ovalecurtisi, or for identification of higher density P. ovalecurtisi or P. ovalewallikeri infections that are amenable to downstream next-generation sequencing.

Project description:BackgroundThe Greater Mekong Subregion is aiming to achieve regional malaria elimination by 2030. Though a shift in malaria parasite species predominance by Plasmodium vivax has been recently documented, the transmission of the two minor Plasmodium species, Plasmodium malariae and Plasmodium ovale spp., is poorly characterized in the region. This study aims to determine the prevalence of these minor species in the China-Myanmar border area and their genetic diversity.MethodsEpidemiology study was conducted during passive case detection in hospitals and clinics in Myanmar and four counties in China along the China-Myanmar border. Cross-sectional surveys were conducted in villages and camps for internally displaced persons to determine the prevalence of malaria infections. Malaria infections were diagnosed initially by microscopy and later in the laboratory using nested PCR for the SSU rRNA genes. Plasmodium malariae and P. ovale infections were confirmed by sequencing the PCR products. The P. ovale subtypes were determined by sequencing the Pocytb, Pocox1 and Pog3p genes. Parasite populations were evaluated by PCR amplification and sequencing of the MSP-1 genes. Antifolate sensitivity was assessed by sequencing the dhfr-ts and dhps genes from the P. malariae and P. ovale isolates.ResultsAnalysis of 2701 blood samples collected from the China-Myanmar border by nested PCR targeting the parasite SSU rRNA genes identified 561 malaria cases, including 161 Plasmodium falciparum, 327 P. vivax, 66 P. falciparum/P. vivax mixed infections, 4 P. malariae and 3 P. ovale spp. P. vivax and P. falciparum accounted for >60 and ~30% of all malaria cases, respectively. In comparison, the prevalence of P. malariae and P. ovale spp. was very low and only made up ~1% of all PCR-positive cases. Nevertheless, these two species were often misidentified as P. vivax infections or completely missed by microscopy even among symptomatic patients. Phylogenetic analysis of the SSU rRNA, Pocytb, Pocox1 and Pog3p genes confirmed that the three P. ovale spp. isolates belonged to the subtype P. ovale curtisi. Low-level genetic diversity was detected in the MSP-1, dhfr and dhps genes of these minor parasite species, potentially stemming from the low prevalence of these parasites preventing their mixing. Whereas most of the dhfr and dhps positions equivalent to those conferring antifolate resistance in P. falciparum and P. vivax were wild type, a new mutation S113C corresponding to the S108 position in pfdhfr was identified in two P. ovale curtisi isolates.ConclusionsThe four human malaria parasite species all occurred sympatrically at the China-Myanmar border. While P. vivax has become the predominant species, the two minor parasite species also occurred at very low prevalence but were often misidentified or missed by conventional microscopy. These minor parasite species displayed low levels of polymorphisms in the msp-1, dhfr and dhps genes.

Dataset Information

Development of Cooperative Primer-Based Real-Time PCR Assays for the Detection of Plasmodium malariae and Plasmodium ovale.

Publications

Development of Cooperative Primer-Based Real-Time PCR Assays for the Detection of Plasmodium malariae and Plasmodium ovale.

Similar Datasets

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