Introduction of Viral Hemorrhagic Septicemia Virus into Freshwater Cultured Rainbow Trout Is Followed by Bursts of Adaptive Evolution

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ABSTRACT

Viral hemorrhagic septicemia virus (VHSV), a rhabdovirus infecting teleost fish, has repeatedly crossed the boundary from marine fish species to freshwater cultured rainbow trout. These naturally replicated cross-species transmission events permit the study of general and repeatable evolutionary events occurring in connection with viral emergence in a novel host species. The purpose of the present study was to investigate the adaptive molecular evolution of the VHSV glycoprotein, one of the key virus proteins involved in viral emergence, following emergence from marine species into freshwater cultured rainbow trout. A comprehensive phylogenetic reconstruction of the complete coding region of the VHSV glycoprotein was conducted, and adaptive molecular evolution was investigated using a maximum likelihood approach to compare different codon substitution models allowing for heterogeneous substitution rate ratios among amino acid sites. Evidence of positive selection was detected at six amino acid sites of the VHSV glycoprotein, within the signal peptide, the confirmation-dependent major neutralizing epitope, and the intracellular tail. Evidence of positive selection was found exclusively in rainbow trout-adapted virus isolates, and amino acid combinations found at the six sites under positive selection pressure differentiated rainbow trout- from non-rainbow trout-adapted isolates. Furthermore, four adaptive sites revealed signs of recurring identical changes across phylogenetic groups of rainbow trout-adapted isolates, suggesting that repeated VHSV emergence in freshwater cultured rainbow trout was established through convergent routes of evolution that are associated with immune escape.

IMPORTANCE This study is the first to demonstrate that VHSV emergence from marine species into freshwater cultured rainbow trout has been accompanied by bursts of adaptive evolution in the VHSV glycoprotein. Furthermore, repeated detection of the same adaptive amino acid sites across phylogenetic groups of rainbow trout-adapted isolates indicates that adaptation to rainbow trout was established through parallel evolution. In addition, signals of convergent evolution toward the maintenance of genetic variation were detected in the conformation-dependent neutralizing epitope or in close proximity to disulfide bonds involved in the structural conformation of the neutralizing epitope, indicating adaptation to immune response-related genetic variation across freshwater cultured rainbow trout.

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Datamonkey 2010: a suite of phylogenetic analysis tools for evolutionary biology.

Wayne Delport, Art Poon, Simon D W Frost … (2010)

Datamonkey is a popular web-based suite of phylogenetic analysis tools for use in evolutionary biology. Since the original release in 2005, we have expanded the analysis options to include recently developed algorithmic methods for recombination detection, evolutionary fingerprinting of genes, codon model selection, co-evolution between sites, identification of sites, which rapidly escape host-immune pressure and HIV-1 subtype assignment. The traditional selection tools have also been augmented to include recent developments in the field. Here, we summarize the analyses options currently available on Datamonkey, and provide guidelines for their use in evolutionary biology. Availability and documentation: http://www.datamonkey.org.

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Positive selection on the H3 hemagglutinin gene of human influenza virus A.

R. M. Bush, W. M. Fitch, C. Bender … (1999)

The hemagglutinin (HA) gene of influenza viruses encodes the major surface antigen against which neutralizing antibodies are produced during infection or vaccination. We examined temporal variation in the HA1 domain of HA genes of human influenza A (H3N2) viruses in order to identify positively selected codons. Positive selection is defined for our purposes as a significant excess of nonsilent over silent nucleotide substitutions. If past mutations at positively selected codons conferred a selective advantage on the virus, then additional changes at these positions may predict which emerging strains will predominate and cause epidemics. We previously reported that a 38% excess of mutations occurred on the tip or terminal branches of the phylogenetic tree of 254 HA genes of influenza A (H3N2) viruses. Possible explanations for this excess include processes other than viral evolution during replication in human hosts. Of particular concern are mutations that occur during adaptation of viruses for growth in embryonated chicken eggs in the laboratory. Because the present study includes 357 HA sequences (a 40% increase), we were able to separately analyze those mutations assigned to internal branches. This allowed us to determine whether mutations on terminal and internal branches exhibit different patterns of selection at the level of individual codons. Additional improvements over our previous analysis include correction for a skew in the distribution of amino acid replacements across codons and analysis of a population of phylogenetic trees rather than a single tree. The latter improvement allowed us to ascertain whether minor variation in tree structure had a significant effect on our estimate of the codons under positive selection. This method also estimates that 75.6% of the nonsilent mutations are deleterious and have been removed by selection prior to sampling. Using the larger data set and the modified methods, we confirmed a large (40%) excess of changes on the terminal branches. We also found an excess of changes on branches leading to egg-grown isolates. Furthermore, 9 of the 18 amino acid codons, identified as being under positive selection to change when we used only mutations assigned to internal branches, were not under positive selection on the terminal branches. Thus, although there is overlap between the selected codons on terminal and internal branches, the codons under positive selection on the terminal branches differ from those on the internal branches. We also observed that there is an excess of positively selected codons associated with the receptor-binding site and with the antibody-combining sites. This association may explain why the positively selected codons are restricted in their distribution along the sequence. Our results suggest that future studies of positive selection should focus on changes assigned to the internal branches, as certain of these changes may have predictive value for identifying future successful epidemic variants.

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Statistical potentials for fold assessment.

Francisco Melo, Roberto Sanchez, Andrej Sali (2002)

A protein structure model generally needs to be evaluated to assess whether or not it has the correct fold. To improve fold assessment, four types of a residue-level statistical potential were optimized, including distance-dependent, contact, Phi/Psi dihedral angle, and accessible surface statistical potentials. Approximately 10,000 test models with the correct and incorrect folds were built by automated comparative modeling of protein sequences of known structure. The criterion used to discriminate between the correct and incorrect models was the Z-score of the model energy. The performance of a Z-score was determined as a function of many variables in the derivation and use of the corresponding statistical potential. The performance was measured by the fractions of the correctly and incorrectly assessed test models. The most discriminating combination of any one of the four tested potentials is the sum of the normalized distance-dependent and accessible surface potentials. The distance-dependent potential that is optimal for assessing models of all sizes uses both C(alpha) and C(beta) atoms as interaction centers, distinguishes between all 20 standard residue types, has the distance range of 30 A, and is derived and used by taking into account the sequence separation of the interacting atom pairs. The terms for the sequentially local interactions are significantly less informative than those for the sequentially nonlocal interactions. The accessible surface potential that is optimal for assessing models of all sizes uses C(beta) atoms as interaction centers and distinguishes between all 20 standard residue types. The performance of the tested statistical potentials is not likely to improve significantly with an increase in the number of known protein structures used in their derivation. The parameters of fold assessment whose optimal values vary significantly with model size include the size of the known protein structures used to derive the potential and the distance range of the accessible surface potential. Fold assessment by statistical potentials is most difficult for the very small models. This difficulty presents a challenge to fold assessment in large-scale comparative modeling, which produces many small and incomplete models. The results described in this study provide a basis for an optimal use of statistical potentials in fold assessment.