Bioinformatics Institute, Agency for Science Technology and Research, Singapore 138671, Singapore.
Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health, Boston, MA 02115, USA.
Cells. 2019 Aug 22;8(9):958. doi: 10.3390/cells8090958.
Animal studies aimed at understanding influenza virus mutations that change host specificity to adapt to replication in mammalian hosts are necessarily limited in sample numbers due to high cost and safety requirements. As a safe, higher-throughput alternative, we explore the possibility of using readily available passage bias data obtained mostly from seasonal H1 and H3 influenza strains that were differentially grown in mammalian (MDCK) and avian cells (eggs). Using a statistical approach over 80,000 influenza hemagglutinin sequences with passage information, we found that passage bias sites are most commonly found in three regions: (i) the globular head domain around the receptor binding site, (ii) the region that undergoes pH-dependent structural changes and (iii) the unstructured -terminal region harbouring the signal peptide. Passage bias sites were consistent among different passage cell types as well as between influenza A subtypes. We also find epistatic interactions of site pairs supporting the notion of host-specific dependency of mutations on virus genomic background. The sites identified from our large-scale sequence analysis substantially overlap with known host adaptation sites in the WHO H5N1 genetic changes inventory suggesting information from passage bias can provide candidate sites for host specificity changes to aid in risk assessment for emerging strains.
由于成本高和安全要求高,旨在研究流感病毒突变以改变宿主特异性从而适应在哺乳动物宿主中复制的动物研究,在样本数量上必然受到限制。作为一种安全、高通量的替代方法,我们探索了利用现成的传代偏向数据的可能性,这些数据主要来自于在哺乳动物(MDCK)和禽类细胞(鸡蛋)中差异生长的季节性 H1 和 H3 流感株。我们使用一种统计方法对超过 80000 个具有传代信息的流感血凝素序列进行分析,发现传代偏向位点最常见于三个区域:(i)受体结合位点周围的球形头部结构域,(ii)经历 pH 依赖性结构变化的区域,以及(iii)含有信号肽的无规则 -末端区域。传代偏向位点在不同的传代细胞类型以及流感 A 亚型之间是一致的。我们还发现了支持突变对病毒基因组背景具有宿主特异性依赖性的位点对的上位性相互作用。从我们的大规模序列分析中鉴定出的位点与世界卫生组织 H5N1 遗传变化清单中的已知宿主适应位点有很大的重叠,这表明传代偏向信息可以提供候选位点,以帮助评估新兴菌株的宿主特异性变化风险。