Next Generation Sequencing Technologies in Malaria

Govindan, Vathsala Palakkod; P, Krishna Murthy

doi:10.4172/2469-9853.1000138

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…This techniques was used to detect almost all Plasmodium species with better sensitivity than qPCR in laboratory setting 133–135 . In contrast, another sophisticated method like NGS is vastly developed for better understanding of malaria transmission pattern and parasites movement 136 and also for identifying multidrug resistance genes in Plasmodium as the major therapeutic obstacles nowadays 137,138 …”

Section: Advanced Molecular Techniquementioning

confidence: 99%

Malaria diagnostic update: From conventional to advanced method

Fitri

Widaningrum

Endharti

et al. 2022

Clinical Laboratory Analysis

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Malaria is still a health problem in the world. Five species can infect humans, namely Plasmodium falciparum, Plasmodium vivax, Plasmodium malaria, Plasmodium ovale, and Plasmodium knowlesi.Four species are considered true parasites of humans, while P. knowlesi is still considered a zoonotic malaria. Among these species, P. falciparum and P. vivax are the most prevalent worldwide, in which the most common complications of severe malaria occur in P. falciparum infection. 1 The most frequent clinical manifestation of malaria is fever or recent history of fever. However, because many diseases also have fever as primary clinical manifestation even in the endemic area, accurate laboratory parameter is crucial. False-positive will lead to improper use of antimalarial therapy, and obviously, underdiagnosed cases cause an increase in morbidity, mortality, and antimalaria resistance. 2 The most frequently used method for early detection of malaria infection and remains the gold standard for laboratory confirmation of malaria is microscopic because it is easy to use and cheap. However, there are still many weaknesses in its application. 3

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Section: Advanced Molecular Techniquementioning

confidence: 99%

Malaria diagnostic update: From conventional to advanced method

Fitri

Widaningrum

Endharti

et al. 2022

Clinical Laboratory Analysis

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“…NGS involves large-scale DNA sequencing without the use of gels and reversible terminators and was developed with an emphasis on speed and efficiency in response to advancing technology. Millions of reads can be generated in hours using platforms such as Illumina/Solexa, ABI/SOLiD, 454/Roche, and Helicos, which are at the fore-front of delivering unmatched opportunities for high-throughput genomic research ( 77 ). Thus, adapting WGS approaches is pertinent to study the malaria parasite and the epidemiology of the disease, as different regions are at different phases in their malaria elimination agenda ( 26 ).…”

Section: Genomic Approaches and Tools For Measuring Malaria Transmiss...mentioning

confidence: 99%

Genomic approaches for monitoring transmission dynamics of malaria: A case for malaria molecular surveillance in Sub–Saharan Africa

Mensah

Akyea-Bobi²,

Ghansah³

2022

Front. Epidemiol.

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Transmission dynamics is an important indicator for malaria control and elimination. As we move closer to eliminating malaria in Sub-Saharan Africa (sSA), transmission indices with higher resolution (genomic approaches) will complement our current measurements of transmission. Most of the present programmatic knowledge of malaria transmission patterns are derived from assessments of epidemiologic and clinical data, such as case counts, parasitological estimates of parasite prevalence, and Entomological Inoculation Rates (EIR). However, to eliminate malaria from endemic areas, we need to track changes in the parasite population and how they will impact transmission. This is made possible through the evolving field of genomics and genetics, as well as the development of tools for more in-depth studies on the diversity of parasites and the complexity of infections, among other topics. If malaria elimination is to be achieved globally, country-specific elimination activities should be supported by parasite genomic data from regularly collected blood samples for diagnosis, surveillance and possibly from other programmatic interventions. This presents a unique opportunity to track the spread of malaria parasites and shed additional light on intervention efficacy. In this review, various genetic techniques are highlighted along with their significance for an enhanced understanding of transmission patterns in distinct topological settings throughout Sub-Saharan Africa. The importance of these methods and their limitations in malaria surveillance to guide control and elimination strategies, are explored.

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