首页> 外文OA文献 >HIV-1 full-genome phylogenetics of generalized epidemics in sub-Saharan Africa: impact of missing nucleotide characters in next-generation sequences.
【2h】

HIV-1 full-genome phylogenetics of generalized epidemics in sub-Saharan Africa: impact of missing nucleotide characters in next-generation sequences.

机译:撒哈拉以南非洲广泛流行的HIV-1全基因组系统发育:下一代序列中缺失核苷酸特征的影响。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

To characterize HIV-1 transmission dynamics in regions where the burden of HIV-1 is greatest, the 'Phylogenetics and Networks for Generalised HIV Epidemics in Africa' consortium (PANGEA-HIV) is sequencing full-genome viral isolates from across sub-Saharan Africa. We report the first 3,985 PANGEA-HIV consensus sequences from four cohort sites (Rakai Community Cohort Study, n=2,833; MRC/UVRI Uganda, n=701; Mochudi Prevention Project, n=359; Africa Health Research Institute Resistance Cohort, n=92). Next-generation sequencing success rates varied: more than 80% of the viral genome from the gag to the nef genes could be determined for all sequences from South Africa, 75% of sequences from Mochudi, 60% of sequences from MRC/UVRI Uganda, and 22% of sequences from Rakai. Partial sequencing failure was primarily associated with low viral load, increased for amplicons closer to the 3' end of the genome, was not associated with subtype diversity except HIV-1 subtype D, and remained significantly associated with sampling location after controlling for other factors. We assessed the impact of the missing data patterns in PANGEA-HIV sequences on phylogeny reconstruction in simulations. We found a threshold in terms of taxon sampling below which the patchy distribution of missing characters in next-generation sequences has an excess negative impact on the accuracy of HIV-1 phylogeny reconstruction, which is attributable to tree reconstruction artifacts that accumulate when branches in viral trees are long. The large number of PANGEA-HIV sequences provides unprecedented opportunities for evaluating HIV-1 transmission dynamics across sub-Saharan Africa and identifying prevention opportunities. Molecular epidemiological analyses of these data must proceed cautiously because sequence sampling remains below the identified threshold and a considerable negative impact of missing characters on phylogeny reconstruction is expected.
机译:为了表征在HIV-1负担最大的地区的HIV-1传播动态,“非洲广义HIV流行病的系统发育学和网络”联盟(PANGEA-HIV)正在对整个撒哈拉以南非洲地区的全基因组病毒分离株进行测序。我们报告了来自四个队列地点的前3,985个PANGEA-HIV共有序列(Rakai社区队列研究,n = 2,833; MRC / UVRI乌干达,n = 701; Mochudi预防项目,n = 359;非洲卫生研究院抗性队列,n = 92)。下一代测序的成功率各不相同:对于来自南非的所有序列,来自Mochudi的75%的序列,来自MRC / UVRI乌干达的60%的序列,可以确定超过80%的病毒基因组(从gag到nef基因)和来自Rakai的22%的序列。部分测序失败主要与病毒载量低有关,靠近基因组3'末端的扩增子增加,除HIV-1 D亚型外,与亚型多样性无关,并且在控制其他因素后仍与采样位置显着相关。我们在模拟中评估了PANGEA-HIV序列中缺失数据模式对系统发育重建的影响。我们发现了一个分类单元采样阈值,低于该阈值时,下一代序列中缺失字符的斑片分布会对HIV-1系统发育重建的准确性产生过度的负面影响,这可归因于在病毒中分支时积累的树木重建伪像树木很长。大量的PANGEA-HIV序列为评估整个撒哈拉以南非洲地区HIV-1的传播动态和确定预防机会提供了前所未有的机会。这些数据的分子流行病学分析必须谨慎进行,因为序列采样仍低于所确定的阈值,并且预期缺失特征对系统发育重建会产生相当大的负面影响。

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号