Genome variation and population structure among 1142 mosquitoes of the African malaria vector species Anopheles gambiae and Anopheles coluzzii.
Genome variation and population structure among 1142 mosquitoes of the African malaria vector species Anopheles gambiae and Anopheles coluzzii.
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DOI：
10.1101/gr.262790.120
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发表时间：
2020-10
期刊：
影响因子：
7
通讯作者：
Anopheles gambiae 1000 Genomes Consortium
中科院分区：
文献类型：
--
作者：
Anopheles gambiae 1000 Genomes Consortium
在撒哈拉以南非洲，控制疟疾仍然是减少疟疾负担的一个中心支柱。然而，疟疾病媒群体对杀虫剂的抗药性根深蒂固，疟疾负担沉重的国家面临着一项艰巨的挑战，即依靠一套有限的监测和干预工具来持续控制疟疾。在这里，我们报告的第二阶段的一个项目，以建立一个开放的资源，高质量的基因组变异的主要非洲疟疾病媒物种冈比亚按蚊和按蚊coluzzii的自然种群之间的数据。我们分析了从13个非洲国家的野外采样的1142只个体蚊子的全基因组，以及另外234只个体，包括11个实验室杂交的父母和后代。数据资源包括5700万个可变位点的高置信度单核苷酸多态性（SNP）调用，全基因组拷贝数变异（CNV）调用和双等位基因SNP定相的单倍型。我们使用这些数据来分析遗传种群结构，并描述种群内和种群间的遗传多样性。我们说明了这些数据的效用，通过调查隔离的距离，遗传变异内建议的基因驱动靶序列，和拟除虫菊酯类杀虫剂的抗性模式的物种差异。这一数据资源为开发新的分子监测业务系统和加快研究和开发新的病媒控制工具奠定了基础。它还为在强大的人为进化压力下具有高水平遗传多样性的真核物种的群体基因组学和进化生物学研究提供了独特的资源。
Mosquito control remains a central pillar of efforts to reduce malaria burden in sub-Saharan Africa. However, insecticide resistance is entrenched in malaria vector populations, and countries with a high malaria burden face a daunting challenge to sustain malaria control with a limited set of surveillance and intervention tools. Here we report on the second phase of a project to build an open resource of high-quality data on genome variation among natural populations of the major African malaria vector species Anopheles gambiae and Anopheles coluzzii. We analyzed whole genomes of 1142 individual mosquitoes sampled from the wild in 13 African countries, as well as a further 234 individuals comprising parents and progeny of 11 laboratory crosses. The data resource includes high-confidence single-nucleotide polymorphism (SNP) calls at 57 million variable sites, genome-wide copy number variation (CNV) calls, and haplotypes phased at biallelic SNPs. We use these data to analyze genetic population structure and characterize genetic diversity within and between populations. We illustrate the utility of these data by investigating species differences in isolation by distance, genetic variation within proposed gene drive target sequences, and patterns of resistance to pyrethroid insecticides. This data resource provides a foundation for developing new operational systems for molecular surveillance and for accelerating research and development of new vector control tools. It also provides a unique resource for the study of population genomics and evolutionary biology in eukaryotic species with high levels of genetic diversity under strong anthropogenic evolutionary pressures.
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影响因子：
9.8
作者：
Browning, Sharon R.;Browning, Brian L.
通讯作者：
Browning, Brian L.
DOI：
10.1016/s0140-6736(15)00417-1
发表时间：
2016-04-23
期刊：
Lancet (London, England)
影响因子：
--
作者：
Hemingway J;Ranson H;Magill A;Kolaczinski J;Fornadel C;Gimnig J;Coetzee M;Simard F;Roch DK;Hinzoumbe CK;Pickett J;Schellenberg D;Gething P;Hoppé M;Hamon N
通讯作者：
Hamon N
影响因子：
64.8
作者：
Huestis, Diana L.;Dao, Adama;Lehmann, Tovi
通讯作者：
Lehmann, Tovi
DOI：
10.1073/pnas.1611064114
发表时间：
2017-01-10
影响因子：
11.1
作者：
Eckhoff, Philip A.;Wenger, Edward A.;Burt, Austin
通讯作者：
Burt, Austin
DOI：
10.1073/pnas.1521077112
发表时间：
2015-12-08
影响因子：
11.1
作者：
Gantz, Valentino M.;Jasinskiene, Nijole;James, Anthony A.
通讯作者：
James, Anthony A.