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高通量条码技术在冈比亚按蚊复合体疟疾媒介的杀虫剂抗性和物种鉴定遗传监测中的应用。

High-throughput barcoding method for the genetic surveillance of insecticide resistance and species identification in Anopheles gambiae complex malaria vectors.

机构信息

Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.

Laboratório de Entomologia Médica, Instituto Nacional de Saúde Pública, Praia, 719, Cabo Verde.

出版信息

Sci Rep. 2022 Aug 16;12(1):13893. doi: 10.1038/s41598-022-17822-8.

Abstract

Surveillance of malaria vector species and the monitoring of insecticide resistance are essential to inform malaria control strategies and support the reduction of infections and disease. Genetic barcoding of mosquitoes is a useful tool to assist the high-throughput surveillance of insecticide resistance, discriminate between sibling species and to detect the presence of Plasmodium infections. In this study, we combined multiplex PCR, custom designed dual indexing, and Illumina next generation sequencing for high throughput single nucleotide polymorphism (SNP)-profiling of four species from the Anopheles (An.) gambiae complex (An. gambiae sensu stricto, An. coluzzii, An. arabiensis and An. melas). By amplifying and sequencing only 14 genetic fragments (500 bp each), we were able to simultaneously detect Plasmodium infection; insecticide resistance-conferring SNPs in ace1, gste2, vgsc and rdl genes; the partial sequences of nuclear ribosomal internal transcribed spacers (ITS1 and ITS2) and intergenic spacers (IGS), Short INterspersed Elements (SINE), as well as mitochondrial genes (cox1 and nd4) for species identification and genetic diversity. Using this amplicon sequencing approach with the four selected An. gambiae complex species, we identified a total of 15 non-synonymous mutations in the insecticide target genes, including previously described mutations associated with resistance and two new mutations (F1525L in vgsc and D148E in gste2). Overall, we present a reliable and cost-effective high-throughput panel for surveillance of An. gambiae complex mosquitoes in malaria endemic regions.

摘要

对疟疾媒介物种进行监测以及对杀虫剂耐药性进行监测,对于为疟疾防控策略提供信息以及支持减少感染和疾病至关重要。对蚊子进行遗传条码分析是一种有用的工具,可以辅助进行高通量的杀虫剂耐药性监测、区分姐妹种,并检测疟原虫感染的存在。在这项研究中,我们结合了多重 PCR、定制的双索引以及 Illumina 下一代测序技术,用于对按蚊(Anopheles)属复合体中的四个物种(包括冈比亚按蚊(An. gambiae sensu stricto)、库蚊(An. coluzzii)、阿拉伯按蚊(An. arabiensis)和淡色库蚊(An. melas))进行高通量单核苷酸多态性(SNP)分析。通过扩增和测序仅 14 个遗传片段(每个 500bp),我们能够同时检测疟原虫感染;在 ace1、gste2、vgsc 和 rdl 基因中检测到与杀虫剂耐药性相关的 SNP;核核糖体内部转录间隔区(ITS1 和 ITS2)和基因间隔区(IGS)、短散布元件(SINE)以及线粒体基因(cox1 和 nd4)的部分序列,用于物种鉴定和遗传多样性分析。使用这种针对四个选定的冈比亚按蚊复合体物种的扩增子测序方法,我们总共在杀虫剂靶基因中鉴定出了 15 个非同义突变,其中包括先前描述的与耐药性相关的突变和两个新的突变(在 vgsc 中为 F1525L,在 gste2 中为 D148E)。总体而言,我们提出了一种可靠且具有成本效益的高通量检测面板,用于监测疟疾流行地区的冈比亚按蚊复合体蚊子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e80/9381500/aba394d542db/41598_2022_17822_Fig1_HTML.jpg

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