First Full Draft Genome Sequence of
            <i>Plasmodium brasilianum</i>

Talundzic, Eldin; Ravishankar, Shashidhar; Nayak, Vishal; Patel, Dhruviben; Olsen, Christian A.; Sheth, Mili; Batra, Dhwani; Loparev, Vladimir N.; Vannberg, Fredrik; Udhayakumar, Venkatachalam; Barnwell, John W.

doi:10.1128/genomea.01566-16

Cited by 12 publications

(17 citation statements)

References 7 publications

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“…The P. brasilianum genome is 99.7% identical to human P. malariae [39] and similarly, P. simium is considered genetically indistinguishable from P. vivax [40]. Plasmodium brasilianum/P.…”

Section: Introductionmentioning

confidence: 99%

Defining the ecological and evolutionary drivers of Plasmodium knowlesi transmission within a multi-scale framework

Davidson

Chua

Cook

et al. 2019

Malar J

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Plasmodium knowlesi is a zoonotic malaria parasite normally residing in long-tailed and pig-tailed macaques ( Macaca fascicularis and Macaca nemestrina, respectively) found throughout Southeast Asia. Recently, knowlesi malaria has become the predominant malaria affecting humans in Malaysian Borneo, being responsible for approximately 70% of reported cases. Largely as a result of anthropogenic land use changes in Borneo, vectors which transmit the parasite, along with macaque hosts, are both now frequently found in disturbed forest habitats, or at the forest fringes, thus having more frequent contact with humans. Having access to human hosts provides the parasite with the opportunity to further its adaption to the human immune system. The ecological drivers of the transmission and spread of P. knowlesi are operating over many different spatial (and, therefore, temporal) scales, from the molecular to the continental. Strategies to prevent and manage zoonoses, such as P. knowlesi malaria require interdisciplinary research exploring the impact of land use change and biodiversity loss on the evolving relationship between parasite, reservoir hosts, vectors, and humans over multiple spatial scales.

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“…The P. brasilianum genome is 99.7% identical to human P. malariae [39] and similarly, P. simium is considered genetically indistinguishable from P. vivax [40]. Plasmodium brasilianum/P.…”

Section: Introductionmentioning

confidence: 99%

Defining the ecological and evolutionary drivers of Plasmodium knowlesi transmission within a multi-scale framework

Davidson

Chua

Cook

et al. 2019

Malar J

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“…The MC004 assay cannot differentiate between P. vivax and P. simium , as their mitochondrial genomes differ at two nucleotides positioned outside the regions covered by the probes. Also, the genomes of P. malariae and P. brasilianum are very similar, and will have identical melting temperatures [ 22 ]. In clinical practice, this would not affect patient management.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of a novel real-time PCR assay for the detection, identification and quantification of Plasmodium species causing malaria in humans

Bergen

Stuitje

Akkers

et al. 2021

Malar J

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Background The entry of PCR-based techniques into malaria diagnostics has improved the sensitivity and specificity of the detection of Plasmodium infections. It has been shown that humans are regularly infected by at least six different Plasmodium species. The MC004 real-time PCR assay for malaria diagnosis is a novel single-tube assay that has been developed for the purpose of simultaneously detecting all Plasmodium species known to infect humans, and discrimination between Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, Plasmodium ovale wallikeri, Plasmodium ovale curtisi, Plasmodium knowlesi (including differentiation of three strains) and Plasmodium cynomolgi (including differentiation of three strains). Detection and identification of Plasmodium species relies on molecular beacon probe-based melting curve analysis. In addition, this assay might be used to quantify the parasitaemia of at least P. falciparum by calculating the level of parasitaemia directly from the Cq-value. Methods The samples used in this study comprised reference samples, patient samples, and synthetic controls. The following analytical performance characteristics of the MC004 assay were determined: analytical specificity, limit of detection, the ability to detect mixed infections, and the potential to determine the level of parasitaemia of P. falciparum, including assessment of within-run and between-run precisions. Results No false positive or false negative results were observed. The limit of detection of P. falciparum was 1 × 10–3 IU/mL (WHO standard). Mixed infections with P. falciparum and non-falciparum species were correctly identified. A calibration curve could be established to quantify the parasitaemia of at least P. falciparum. The within-run and between-run precisions were less than 20% CV at the tested parasitaemia levels of 0.09%, 0.16%, 2.15% and 27.27%. Conclusion Based upon the analytical performance characteristics that were determined, the MC004 assay showed performance suitable for use in clinical settings, as well as epidemiological studies.

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“…The P. malariae and P. brasilianum genomes are very similar (Talundzic et al 2017). In fact, the recent unexpected detection of P. malariae in Costa Rica could be due to P. brasilianum.…”

Section: Genetics In Malaria Diagnosismentioning

confidence: 97%

“…In spite of this, there is no straightforward, complete diagnostic method to distinguish between both species with certainty. The detection of P. malariae subtypes and their close genetic relationship to P. brasilianum suggest that both species might correspond to a complex group (Talundzic et al 2017;Rutledge et al 2017).…”

Section: Genetics In Malaria Diagnosismentioning

confidence: 99%

Plasmodium genomics: an approach for learning about and ending human malaria

et al. 2018

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Malaria causes high levels of morbidity and mortality in human beings worldwide. According to the World Health Organization (WHO), about half a million people die of this disease each year. Malaria is caused by six species of parasites belonging to the Plasmodium genus: P. falciparum, P. knowlesi, P. vivax, P. malariae, P. ovale curtisi, and P. ovale wallikeri. Currently, malaria is being kept under control with varying levels of elimination success in different countries. The development of new molecular tools as well as the use of next-generation sequencing (NGS) technologies and novel bioinformatic approaches has improved our knowledge of malarial epidemiology, diagnosis, treatment, vaccine development, and surveillance strategies. In this work, the genetics and genomics of human malarias have been analyzed. Since the first P. falciparum genome was sequenced in 2002, various population-level genetic and genomic surveys, together with transcriptomic and proteomic studies, have shown the importance of molecular approaches in supporting malaria elimination.

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First Full Draft Genome Sequence of Plasmodium brasilianum

Cited by 12 publications

References 7 publications

Defining the ecological and evolutionary drivers of Plasmodium knowlesi transmission within a multi-scale framework

Defining the ecological and evolutionary drivers of Plasmodium knowlesi transmission within a multi-scale framework

Evaluation of a novel real-time PCR assay for the detection, identification and quantification of Plasmodium species causing malaria in humans

Plasmodium genomics: an approach for learning about and ending human malaria

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