Abstract

BackgroundThe identification of mutations that confer unique properties to a pathogen, such as host range, is of fundamental importance in the fight against disease. This paper describes a novel method for identifying amino acid sites that distinguish specific sets of protein sequences, by comparative analysis of matched alignments. The use of mutual information to identify distinctive residues responsible for functional variants makes this approach highly suitable for analyzing large sets of sequences. To support mutual information analysis, we developed the AVANA software, which utilizes sequence annotations to select sets for comparison, according to user-specified criteria. The method presented was applied to an analysis of influenza A PB2 protein sequences, with the objective of identifying the components of adaptation to human-to-human transmission, and reconstructing the mutation history of these components.ResultsWe compared over 3,000 PB2 protein sequences of human-transmissible and avian isolates, to produce a catalogue of sites involved in adaptation to human-to-human transmission. This analysis identified 17 characteristic sites, five of which have been present in human-transmissible strains since the 1918 Spanish flu pandemic. Sixteen of these sites are located in functional domains, suggesting they may play functional roles in host-range specificity. The catalogue of characteristic sites was used to derive sequence signatures from historical isolates. These signatures, arranged in chronological order, reveal an evolutionary timeline for the adaptation of the PB2 protein to human hosts.ConclusionBy providing the most complete elucidation to date of the functional components participating in PB2 protein adaptation to humans, this study demonstrates that mutual information is a powerful tool for comparative characterization of sequence sets. In addition to confirming previously reported findings, several novel characteristic sites within PB2 are reported. Sequence signatures generated using the characteristic sites catalogue characterize concisely the adaptation characteristics of individual isolates. Evolutionary timelines derived from signatures of early human influenza isolates suggest that characteristic variants emerged rapidly, and remained remarkably stable through subsequent pandemics. In addition, the signatures of human-infecting H5N1 isolates suggest that this avian subtype has low pandemic potential at present, although it presents more human adaptation components than most avian subtypes.

Highlights

  • The identification of mutations that confer unique properties to a pathogen, such as host range, is of fundamental importance in the fight against disease

  • This virus has limited zoonotic potential: only four influenza subtypes have been known to circulate amongst humans, while at least 100 subtypes have been observed in birds

  • This paper presents a novel approach to the identification of characteristic variant patterns, based on the comparison of pairs of sequence alignments

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Summary

Introduction

The identification of mutations that confer unique properties to a pathogen, such as host range, is of fundamental importance in the fight against disease. In the study of pathogens, it is fundamentally important to identify the molecular elements that enable transmission and replication in humans, and understand their evolutionary patterns as well as their functional role. This knowledge is relevant to disease prevention, since it helps define the epidemiological characteristics of new pathogen strains, and in some cases the extent of their virulence [1]. The influenza A virus is in equilibrium with its natural hosts, aquatic wildfowl, amongst which widespread transmission occurs, often without causing serious disease [3] This virus has limited zoonotic potential: only four influenza subtypes have been known to circulate amongst humans, while at least 100 subtypes have been observed in birds. The circulating H5N1 subtype has negligible potential for human-to-human transmission, there is a concern that it might acquire the necessary mutations for this capability

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