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通过深度测序分析疟原虫自然感染的多样性。

Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing.

机构信息

Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK.

出版信息

Nature. 2012 Jul 19;487(7407):375-9. doi: 10.1038/nature11174.

Abstract

Malaria elimination strategies require surveillance of the parasite population for genetic changes that demand a public health response, such as new forms of drug resistance. Here we describe methods for the large-scale analysis of genetic variation in Plasmodium falciparum by deep sequencing of parasite DNA obtained from the blood of patients with malaria, either directly or after short-term culture. Analysis of 86,158 exonic single nucleotide polymorphisms that passed genotyping quality control in 227 samples from Africa, Asia and Oceania provides genome-wide estimates of allele frequency distribution, population structure and linkage disequilibrium. By comparing the genetic diversity of individual infections with that of the local parasite population, we derive a metric of within-host diversity that is related to the level of inbreeding in the population. An open-access web application has been established for the exploration of regional differences in allele frequency and of highly differentiated loci in the P. falciparum genome.

摘要

消除疟疾策略需要对寄生虫种群进行遗传变化的监测,以便采取公共卫生措施应对,例如新型抗药性的出现。在这里,我们描述了通过对来自疟疾患者血液中的寄生虫 DNA 进行深度测序来大规模分析恶性疟原虫遗传变异的方法,这些 DNA 可以直接或在短期培养后获得。对来自非洲、亚洲和大洋洲的 227 个样本中通过基因分型质量控制的 86,158 个外显子单核苷酸多态性进行分析,提供了全基因组等位基因频率分布、种群结构和连锁不平衡的估计。通过比较个体感染的遗传多样性与当地寄生虫种群的遗传多样性,我们得出了一个衡量宿主内多样性的指标,该指标与种群中的近亲繁殖程度有关。我们建立了一个开放访问的网络应用程序,用于探索等位基因频率的区域差异和恶性疟原虫基因组中高度分化的基因座。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c28/3738909/9220d9f70b42/emss-49873-f0001.jpg

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