Rapid and accurate detection of malaria parasites in blood is needed to institute proper therapy. We developed and used a real-time PCR assay to detect and distinguish four Plasmodium spp. that cause human disease by using a single amplification reaction and melting curve analysis. Consensus primers were used to amplify a species-specific region of the multicopy 18S rRNA gene, and SYBR Green was used for detection in a LightCycler instrument. Patient specimens infected at 0.01 to 0.02% parasitemia densities were detected, and analytical sensitivity was estimated to be 0.2 genome equivalent per reaction. Melting curve analysis based on nucleotide variations within the amplicons provided a basis for accurate differentiation of Plasmodium falciparum, P. vivax, P. ovale, and P. malariae. For assay validation, 358 patient blood samples from the National University Hospital in Singapore and Evanston Northwestern Healthcare in Illinois were analyzed. Of 76 blinded patient samples with a microscopic diagnosis of P. falciparum, P. vivax, or P. ovale infection, 74 (97.4%) were detected by real-time PCR, including three specimens containing mixed P. falciparum-P. vivax infections. No Plasmodium DNA was amplified in any of the 82 specimens sent for malaria testing but that were microscopically negative for Plasmodium infection. In addition, 200 blood samples from patients whose blood was collected for reasons other than malaria testing were also determined to be negative by real-time PCR. Real-time PCR with melting curve analysis could be a rapid and objective supplement to the examination of Giemsa-stained blood smears and may replace microscopy following further validation.

Influenza A H1N1/2009 virus that emerged from swine rapidly replaced the previous seasonal H1N1 virus. Although the early emergence and diversification of H1N1/2009 is well characterized, the ongoing evolutionary and global transmission dynamics of the virus remain poorly investigated. To address this we analyse >3,000 H1N1/2009 genomes, including 214 full genomes generated from our surveillance in Singapore, in conjunction with antigenic data. Here we show that natural selection acting on H1N1/2009 directly after introduction into humans was driven by adaptation to the new host. Since then, selection has been driven by immunological escape, with these changes corresponding to restricted antigenic diversity in the virus population. We also show that H1N1/2009 viruses have been subject to regular seasonal bottlenecks and a global reduction in antigenic and genetic diversity in 2014.

Zika virus (ZIKV) is a mosquito-borne flavivirus. Infection results in a dengue-like illness with fever, headache, malaise, and a maculopapular rash. Nearly all cases are mild and self-limiting but in 2007, a large outbreak of ZIKV was reported from the island of Yap (in Micronesia, northwest of Indonesia). Singapore is already endemic for dengue, and its impact on public health and economic burden is significant. Other dengue-like infections (e.g., Chikungunya virus) are present. Yet only 10% of reported dengue cases have laboratory confirmation. The identification and control of other dengue-like, mosquito-transmitted infections is thus important for the health of Singapore's population, as well as its economy. Given that ZIKV shares the same Aedes mosquito vector with both dengue and Chikungunya, it is possible that this virus is present in Singapore and causing some of the mild dengue-like illness. A specific and sensitive one-step, reverse transcription polymerase chain reaction (RT-PCR) with an internal control (IC) was designed and tested on 88 archived samples of dengue-negative, Chikungunya-negative sera from patients presenting to our hospital with a dengue-like illness, to determine the presence of ZIKV in Singapore. The assay was specific for detection of ZIKV and displayed a lower limit of detection (LoD) of 140 copies viral RNA/reaction when tested on synthetic RNA standards prepared using pooled negative patient plasma. Of the 88 samples tested, none were positive for ZIKV RNA, however, the vast majority of these were from patients admitted to hospital and further study may be warranted in community-based environments.