Experimental Estimation of the Effects of All Amino-Acid Mutations to HIV's Envelope Protein on Viral Replication in Cell Culture.
Experimental Estimation of the Effects of All Amino-Acid Mutations to HIV's Envelope Protein on Viral Replication in Cell Culture.
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DOI:
10.1371/journal.ppat.1006114
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发表时间:
2016-12
期刊:
影响因子:
6.7
通讯作者:
Bloom JD
中科院分区:
文献类型:
--
作者:
Haddox HK;Dingens AS;Bloom JD
HIV is notorious for its capacity to evade immunity and anti-viral drugs through rapid sequence evolution. Knowledge of the functional effects of mutations to HIV is critical for understanding this evolution. HIV’s most rapidly evolving protein is its envelope (Env). Here we use deep mutational scanning to experimentally estimate the effects of all amino-acid mutations to Env on viral replication in cell culture. Most mutations are under purifying selection in our experiments, although a few sites experience strong selection for mutations that enhance HIV’s replication in cell culture. We compare our experimental measurements of each site’s preference for each amino acid to the actual frequencies of these amino acids in naturally occurring HIV sequences. Our measured amino-acid preferences correlate with amino-acid frequencies in natural sequences for most sites. However, our measured preferences are less concordant with natural amino-acid frequencies at surface-exposed sites that are subject to pressures absent from our experiments such as antibody selection. Our data enable us to quantify the inherent mutational tolerance of each site in Env. We show that the epitopes of broadly neutralizing antibodies have a significantly reduced inherent capacity to tolerate mutations, rigorously validating a pervasive idea in the field. Overall, our results help disentangle the role of inherent functional constraints and external selection pressures in shaping Env’s evolution. HIV is infamous for the rapid evolution of its surface protein, Env. The ability to measure the effects of all mutations to Env under defined selection pressures in the lab would open the door to better understanding the factors that shape this evolution. However, this is a daunting experimental task since there are over 104 different single-amino acid mutations to Env. Here we leverage next-generation sequencing to perform a single massively parallel experiment that estimates the effects of all these mutations on viral replication in cell culture. Our measurements are largely consistent with existing knowledge about the effects of mutations at functionally important sites, and show that inherent mutational tolerance varies widely across Env. Our work provides new insight into Env’s evolution, and describes a powerful experimental approach for measuring the effects of mutations on HIV phenotypes that can be selected for in the lab.
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影响因子:
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通讯作者:
Chakraborty AK
影响因子:
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