Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
Vector Borne Diseases Unit, Papua New Guinea Institute of Medical Research, Madang, Papua New Guinea.
Infect Genet Evol. 2018 Mar;58:83-95. doi: 10.1016/j.meegid.2017.11.028. Epub 2017 Dec 5.
The Asia Pacific Leaders in Malaria Alliance (APLMA) have committed to eliminate malaria from the region by 2030. Papua New Guinea (PNG) has the highest malaria burden in the Asia-Pacific region but with the intensification of control efforts since 2005, transmission has been dramatically reduced and Plasmodium vivax is now the dominant malaria infection in some parts of the country. To gain a better understanding of the transmission dynamics and migration patterns of P. vivax in PNG, here we investigate population structure in eight geographically and ecologically distinct regions of the country. A total of 219 P. vivax isolates (16-30 per population) were successfully haplotyped using 10 microsatellite markers. A wide range of genetic diversity (H=0.37-0.87, R=3.60-7.58) and significant multilocus linkage disequilibrium (LD) was observed in six of the eight populations (I=0.08-0.15 p-value<0.05) reflecting a spectrum of transmission intensities across the country. Genetic differentiation between regions was evident (Jost's D=0.07-0.72), with increasing divergence of populations with geographic distance. Overall, P. vivax isolates clustered into three major genetic populations subdividing the Mainland lowland and coastal regions, the Islands and the Highlands. P. vivax gene flow follows major human migration routes, and there was higher gene flow amongst Mainland parasite populations than among Island populations. The Central Province (samples collected in villages close to the capital city, Port Moresby), acts as a sink for imported infections from the three major endemic areas. These insights into P. vivax transmission dynamics and population networks will inform targeted strategies to contain malaria infections and to prevent the spread of drug resistance in PNG.
亚太疟疾联盟(APLMA)承诺到 2030 年消除该地区的疟疾。巴布亚新几内亚(PNG)是亚太地区疟疾负担最重的国家,但自 2005 年以来,随着控制工作的加强,疟疾传播已大幅减少,间日疟原虫现已成为该国部分地区的主要疟原虫感染。为了更好地了解 PNG 间日疟原虫的传播动态和迁移模式,我们在此调查了该国八个地理位置和生态环境截然不同的地区的人口结构。共成功地对 219 个间日疟原虫分离株(每个种群 16-30 个)进行了单倍型分析,使用了 10 个微卫星标记。在六个种群(I=0.08-0.15,p 值<0.05)中观察到广泛的遗传多样性(H=0.37-0.87,R=3.60-7.58)和显著的多位点连锁不平衡(LD),反映了全国不同的传播强度。地区间的遗传分化明显(Jost's D=0.07-0.72),种群与地理距离的差异也在增加。总体而言,间日疟原虫分离株聚类为三个主要遗传种群,分为大陆低地和沿海地区、岛屿和高地。间日疟原虫的基因流遵循主要的人类迁移路线,大陆寄生虫种群之间的基因流高于岛屿种群之间的基因流。中央省(在首都莫尔斯比港附近的村庄收集的样本)是从三个主要流行地区输入感染的汇点。这些关于间日疟原虫传播动态和种群网络的见解将为制定有针对性的战略提供信息,以控制疟疾感染并防止 PNG 出现耐药性传播。