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15% 到 20%的 HIV 替代突变与重组有关。

Fifteen to twenty percent of HIV substitution mutations are associated with recombination.

机构信息

Sydney School of Public Health, Sydney University, Sydney, New South Wales, Australia.

出版信息

J Virol. 2014 Apr;88(7):3837-49. doi: 10.1128/JVI.03136-13. Epub 2014 Jan 22.

Abstract

HIV undergoes high rates of mutation and recombination during reverse transcription, but it is not known whether these events occur independently or are linked mechanistically. Here we used a system of silent marker mutations in HIV and a single round of infection in primary T lymphocytes combined with a high-throughput sequencing and mathematical modeling approach to directly estimate the viral recombination and mutation rates. From >7 million nucleotides (nt) of sequences from HIV infection, we observed 4,801 recombination events and 859 substitution mutations (≈1.51 and 0.12 events per 1,000 nt, respectively). We used experimental controls to account for PCR-induced and transfection-induced recombination and sequencing error. We found that the single-cycle virus-induced mutation rate is 4.6 × 10(-5) mutations per nt after correction. By sorting of our data into recombined and nonrecombined sequences, we found a significantly higher mutation rate in recombined regions (P = 0.003 by Fisher's exact test). We used a permutation approach to eliminate a number of potential confounding factors and confirm that mutation occurs around the site of recombination and is not simply colocated in the genome. By comparing mutation rates in recombined and nonrecombined regions, we found that recombination-associated mutations account for 15 to 20% of all mutations occurring during reverse transcription.

摘要

HIV 在逆转录过程中会发生高频率的突变和重组,但目前尚不清楚这些事件是独立发生的,还是在机制上相互关联。在这里,我们使用 HIV 中的沉默标记突变系统和一轮原发性 T 淋巴细胞感染,结合高通量测序和数学建模方法,直接估计病毒的重组和突变率。从 HIV 感染的超过 700 万个核苷酸(nt)序列中,我们观察到 4801 个重组事件和 859 个替换突变(分别约为每 1000nt 发生 1.51 和 0.12 个事件)。我们使用实验对照来解释 PCR 诱导和转染诱导的重组和测序错误。我们发现,经过校正后,单轮病毒诱导的突变率为每 nt 4.6×10(-5)个突变。通过将我们的数据按重组和非重组序列进行排序,我们发现重组区域的突变率显著更高(Fisher 精确检验 P = 0.003)。我们使用排列方法消除了一些潜在的混杂因素,并证实突变发生在重组部位附近,而不仅仅是在基因组中随机出现。通过比较重组和非重组区域的突变率,我们发现重组相关的突变占逆转录过程中发生的所有突变的 15%至 20%。

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