Large-scale Genotyping and Genetic Mapping in Plasmodium Parasites

Su, Xin-zhuan; Jiang, Hongying; Yi, Ming; Mu, Jianbing; Stephens, Robert M.

doi:10.3347/kjp.2009.47.2.83

Cited by 11 publications

(12 citation statements)

References 91 publications

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“…Although previously this gene was only studied because of its own unique characteristics, especially due to the point mutation that causes drug resistance (34), this gene is important in multiplex PCR as the system provides faster identification and detection, and hence effective treatment or drugs for P. knowlesi infection could be implemented immediately. MSP-1 was chosen in this study as the target gene for P. vivax and P. malariae because high polymorphisms are detected in this gene, which are often used as markers to detect parasites from the DNA of malaria patients (35). The combination of newly designed primers for all 4 human malaria parasites with the existing primers of P. ovale (26) has provide a good multiplex PCR system.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of new multiplex PCR primers for the identification ofPlasmodium species found in Sabah, Malaysia

et al. 2016

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Background/aim: Malaria is a major public health problem, especially in the Southeast Asia region, caused by 5 species of Plasmodium (P. falciparum, P. vivax, P. malariae, P. ovale, and P. knowlesi). The aim of this study was to compare parasite species identification methods using the new multiplex polymerase chain reaction (PCR) against nested PCR and microscopy.Materials and methods: Blood samples on filter papers were subject to conventional PCR methods using primers designed by us in multiplex PCR and previously designed primers of nested PCR. Both sets of results were compared with microscopic identification.Results: Of the 129 samples identified as malaria-positive by microscopy, 15 samples were positive for P. falciparum, 14 for P. vivax, 6 for P. knowlesi, 72 for P. malariae, and 2 for mixed infection of P. falciparum/P. malariae. Both multiplex and nested PCR identified 12 P. falciparum single infections. For P. vivax, 9 were identified by multiplex and 12 by nested PCR. For 72 P. malariae cases, multiplex PCR identified 58 as P. knowlesi and 10 as P. malariae compared to nested PCR, which identified 59 as P. knowlesi and 7 as P. malariae. Conclusion:Multiplex PCR could be used as alternative molecular diagnosis for the identification of all Plasmodium species as it requires a shorter time to screen a large number of samples.

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Section: Discussionmentioning

confidence: 99%

Evaluation of new multiplex PCR primers for the identification ofPlasmodium species found in Sabah, Malaysia

et al. 2016

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“…Comparative genome hybridization for was done using Affymetrix scrMalaria arrays (custom 25-mer oligonucleotide arrays, 5159 predicted genes, 260 596 probes) [185], spotted 70-mer DNA microarrays [186], and microarrays based on the Nimble Gen platform [187]. Genomic mapping technologies were reviewed by Su et al [188]. While of high scientific value for the study of genome variation in P. falciparum, these studies have no direct relevance for diagnostic microbiology.…”

Section: Malariamentioning

confidence: 99%

DNA Microarrays for Pathogen Detection

Schulze

Rubtsova

Bachmann

2015

Modern Techniques for Pathogen Detection

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“…Many more typing methods are under development, including those for other malaria species. Unfortunately, the malaria parasite is a singlecell organism, and it is thus challenging to detect or measure reproducible phenotypic variation between individual parasites [15].…”

Section: Parasite Detectionmentioning

confidence: 99%

Infectious diseases detection by microarray: An overview of clinical relevant infections

Herrera-Rodríguez¹,

Elizondo-Quiroga²,

Álvarez-Maya³

2013

JBiSE

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Microarray technology is a powerful tool to investigate whole genome expression profiles to study the crosstalk between pathogens and associated hosts that cause illness. Microarrays have been used in several comparative genome hybridization studies of pathogens. In addition to detection and identification of pathogens, microarrays are ideal for characterizing genetic differences between bacteria isolates of the same species to the strain level. Furthermore, the use of microarrays has been gaining importance in the detection of viral agents. Here we explore the use of microarrays for simultaneous detection of viruses and modifications made over these techniques. Microarray technology has also been incorporated to compensate for time-consuming sequencing. The procedure of fungi identification based on sequences and studies reported the use of microarrays to identify pathogenic yeasts and molds by targeting the internal transcribed spacer regions in fungal rRNA genes. The remarkable advancement in genomics over the last decade has made it possible for microarray technology to evolve towards being the best option for clinical diagnostics because they have several advantages.

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Large-scale Genotyping and Genetic Mapping in Plasmodium Parasites

Cited by 11 publications

References 91 publications

Evaluation of new multiplex PCR primers for the identification ofPlasmodium species found in Sabah, Malaysia

Evaluation of new multiplex PCR primers for the identification ofPlasmodium species found in Sabah, Malaysia

DNA Microarrays for Pathogen Detection

Infectious diseases detection by microarray: An overview of clinical relevant infections

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