Dataset Information

Genetic and codon usage bias analyses of polymerase genes of equine influenza virus and its relation to evolution.

ABSTRACT:

Background

Equine influenza is a major health problem of equines worldwide. The polymerase genes of influenza virus have key roles in virus replication, transcription, transmission between hosts and pathogenesis. Hence, the comprehensive genetic and codon usage bias of polymerase genes of equine influenza virus (EIV) were analyzed to elucidate the genetic and evolutionary relationships in a novel perspective.

Results

The group - specific consensus amino acid substitutions were identified in all polymerase genes of EIVs that led to divergence of EIVs into various clades. The consistent amino acid changes were also detected in the Florida clade 2 EIVs circulating in Europe and Asia since 2007. To study the codon usage patterns, a total of 281,324 codons of polymerase genes of EIV H3N8 isolates from 1963 to 2015 were systemically analyzed. The polymerase genes of EIVs exhibit a weak codon usage bias. The ENc-GC3s and Neutrality plots indicated that natural selection is the major influencing factor of codon usage bias, and that the impact of mutation pressure is comparatively minor. The methods for estimating host imposed translation pressure suggested that the polymerase acidic (PA) gene seems to be under less translational pressure compared to polymerase basic 1 (PB1) and polymerase basic 2 (PB2) genes. The multivariate statistical analysis of polymerase genes divided EIVs into four evolutionary diverged clusters - Pre-divergent, Eurasian, Florida sub-lineage 1 and 2.

Conclusions

Various lineage specific amino acid substitutions observed in all polymerase genes of EIVs and especially, clade 2 EIVs underwent major variations which led to the emergence of a phylogenetically distinct group of EIVs originating from Richmond/1/07. The codon usage bias was low in all the polymerase genes of EIVs that was influenced by the multiple factors such as the nucleotide compositions, mutation pressure, aromaticity and hydropathicity. However, natural selection was the major influencing factor in defining the codon usage patterns and evolution of polymerase genes of EIVs.

SUBMITTER: Bera BC

PROVIDER: S-EPMC5568313 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Publications

Genetic and codon usage bias analyses of polymerase genes of equine influenza virus and its relation to evolution.

Bera Bidhan Ch BC Virmani Nitin N Kumar Naveen N Anand Taruna T Pavulraj S S Rash Adam A Elton Debra D Rash Nicola N Bhatia Sandeep S Sood Richa R Singh Raj Kumar RK Tripathi Bhupendra Nath BN

BMC genomics 20170823 1

<h4>Background</h4>Equine influenza is a major health problem of equines worldwide. The polymerase genes of influenza virus have key roles in virus replication, transcription, transmission between hosts and pathogenesis. Hence, the comprehensive genetic and codon usage bias of polymerase genes of equine influenza virus (EIV) were analyzed to elucidate the genetic and evolutionary relationships in a novel perspective.<h4>Results</h4>The group - specific consensus amino acid substitutions were ide ...[more]

PMID: 28830350

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Project description:Codon usage bias (CUB)-preferential use of one of the synonymous codons, has been described in a wide range of organisms from bacteria to mammals, but it has not yet been studied in marine phytoplankton. CUB is thought to be caused by weak selection for translational accuracy and efficiency. Weak selection can overpower genetic drift only in species with large effective population sizes, such as Drosophila that has relatively strong CUB, while organisms with smaller population sizes (e.g., mammals) have weak CUB. Marine plankton species tend to have extremely large populations, suggesting that CUB should be very strong. Here we test this prediction and describe the patterns of codon usage in a wide range of diatom species belonging to 35 genera from 4 classes. We report that most of the diatom species studied have surprisingly modest CUB (mean Effective Number of Codons, ENC = 56), with some exceptions showing stronger codon bias (ENC = 44). Modest codon bias in most studied diatom species may reflect extreme disparity between astronomically large census and modest effective population size (Ne), with fluctuations in population size and linked selection limiting long-term Ne and rendering selection for optimal codons less efficient. For example, genetic diversity (pi ~0.02 at silent sites) in Skeletonema marinoi corresponds to Ne of about 10 million individuals, which is likely many orders of magnitude lower than its census size. Still, Ne ~107 should be large enough to make selection for optimal codons efficient. Thus, we propose that an alternative process-frequent changes of preferred codons, may be a more plausible reason for low CUB despite highly efficient selection for preferred codons in diatom populations. The shifts in the set of optimal codons should result in the changes of the direction of selection for codon usage, so the actual codon usage never catches up with the moving target of the optimal set of codons and the species never develop strong CUB. Indeed, we detected strong shifts in preferential codon usage within some diatom genera, with switches between preferentially GC-rich and AT-rich 3rd codon positions (GC3). For example, GC3 ranges from 0.6 to 1 in most Chaetoceros species, while for Chaetoceros dichaeta GC3 = 0.1. Both variation in selection intensity and mutation spectrum may drive such shifts in codon usage and limit the observed CUB. Our study represents the first genome-wide analysis of CUB in diatoms and the first such analysis for a major phytoplankton group.

Project description:Seasonal influenza epidemics and occasional pandemics threaten public health worldwide. New alternative strategies for generating recombinant viruses with vaccine potential are needed. Interestingly, influenza viruses circulating in different hosts have been found to have distinct codon usage patterns, which may reflect host adaptation. We therefore hypothesized that it is possible to make a human seasonal influenza virus that is specifically attenuated in human cells but not in eggs by converting its codon usage so that it is similar to that observed from avian influenza viruses. This approach might help to generate human live attenuated viruses without affecting their yield in eggs. To test this hypothesis, over 300 silent mutations were introduced into the genome of a seasonal H1N1 influenza virus. The resultant mutant was significantly attenuated in mammalian cells and mice, yet it grew well in embryonated eggs. A single dose of intranasal vaccination induced potent innate, humoral, and cellular immune responses, and the mutant could protect mice against homologous and heterologous viral challenges. The attenuated mutant could also be used as a vaccine master donor strain by introducing hemagglutinin and neuraminidase genes derived from other strains. Thus, our approach is a successful strategy to generate attenuated viruses for future application as vaccines.Vaccination has been one of the best protective measures in combating influenza virus infection. Current licensed influenza vaccines and their production have various limitations. Our virus attenuation strategy makes use of the codon usage biases of human and avian influenza viruses to generate a human-derived influenza virus that is attenuated in mammalian hosts. This method, however, does not affect virus replication in eggs. This makes the resultant mutants highly compatible with existing egg-based vaccine production pipelines. The viral proteins generated from the codon bias mutants are identical to the wild-type viral proteins. In addition, our massive genome-wide mutational approach further minimizes the concern over reverse mutations. The potential use of this kind of codon bias mutant as a master donor strain to generate other live attenuated viruses is also demonstrated. These findings put forward a promising live attenuated influenza vaccine generation strategy to control influenza.

Dataset Information

Genetic and codon usage bias analyses of polymerase genes of equine influenza virus and its relation to evolution.

Background

Results

Conclusions

Publications

Genetic and codon usage bias analyses of polymerase genes of equine influenza virus and its relation to evolution.

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