Whole genome molecular phylogeny of large dsDNA viruses using composition vector method
© Gao and Qi; licensee BioMed Central Ltd. 2007
Received: 19 September 2006
Accepted: 15 March 2007
Published: 15 March 2007
One important mechanism by which large DNA viruses increase their genome size is the addition of modules acquired from other viruses, host genomes or gene duplications. Phylogenetic analysis of large DNA viruses, especially using methods based on alignment, is often difficult due to the presence of horizontal gene transfer events. The recent composition vector approach, not sensitive to such events, is applied here to reconstruct the phylogeny of 124 large DNA viruses.
The results are mostly consistent with the biologist's systematics with only a few outliers and can also provide some information for those unclassified viruses and cladistic relationships of several families.
With composition vector approach we obtained the phylogenetic tree of large DNA viruses, which not only give results comparable to biologist's systematics but also provide a new way for recovering the phylogeny of viruses.
Viruses are small, infectious, obligate intracellular parasites that are capable of replicating themselves within their host cells. They are even smaller than the smallest elementary biosystem, yet still possess some properties of living systems such as having a genome and the ability to adapt to changing environments. However, viruses cannot capture and store free energy and they are not functionally active outside their host cell .
Traditionally, viruses were characterized by morphological features including capsid size, shape, structure, etc., as well as physicochemical and antigenic properties. As more and more viral genomes are being sequenced, the evolutionary relationship of a great many families and genera is being explored [2, 3] by sequence analysis on single gene or gene families, such as polymerase, capsid and movement genes [4–10]. The virus taxonomy system is approved and updated by the International Committee on the Taxonomy of Viruses (ICTV).
However, it is full of ambiguity for phylogenetic analysis based on single gene when using conserved or similar genes since horizontal gene transfer (HGT) between viruses, along with gene duplication, gene capture from host appears to have been frequent in large DNA viruses [11–14]. Genetic mosaicism of phages has been known for a long time. Homologous morons (coding region and transcription control sequences) are found in many lineages of phages , and these kinds of genetic acquirements have also been considered the main sources of increasing genome size in large DNA viruses [9, 16]. The high substitution rate of viruses also limits the sequence-based methods from revealing the distant evolutionary relationships [11, 17]. For example, the herpes simplex virus type 1 mutates 10 times greater than mammalian genes (nearly 3.5 × 108 substitutions per site per year) [18, 19]. Some attempts have been made to combine viral structure and function characteristics and genomic information of their hosts into sequence information [11, 17] although quantifying such structural similarity has proved to be extremely challenging.
In the meantime there are several other attempts to infer viral phylogeny from their whole genomes [12, 20–25] to avoid the problem of gene rearrangement, gene loss, gene duplication and lateral gene transfer. However, some of them infer the majority consensus tree of the many trees of individual genes or use the combined sequences of many shared genes [12, 21, 22]. Some of them employ gene content [12, 22, 23] and gene order [12, 22] method, but the former has to correct for the genome size effect  and the latter can be hindered by a lack of synteny conservation or the variation of the evolving rate of synteny between taxa [12, 26]. Above methods are partly or completely based on alignment of conserved or similar sequences which is hard to infer more distant evolutionary relationships. Gao and Stuart [20, 25] apply new alignment-free methods to resolve virus relationships respectively, which appear to be sufficiently powerful to explore the phylogeny of viruses at large evolutionary distance.
Since viruses have no universal common genes just like SSU rRNA in cellular life, it is difficult to reconstruct the phylogenetic tree for distinct type of virus with most of former methods. We present here a phylogenetic analysis of large DNA viruses with the Composition Vector (CV) method [20, 27, 28] and discuss their relationships at a deep level. The CV method does not require extended alignments, predefined operational orthologs, or even predefined homologs (for details see material and methods). We show that the results are mostly consistent with the biologist's systematics with only a few outliers and also provide some information for those unclassified viruses and cladistic relationships of several families.
Results and discussion
According to the classification in ICTV database, one of the largest families in dsDNA viruses, Baculoviridae, is composed of two genera, Granulovirus and Nucleopolyhedrovirus. However, the 4-subbranch of this family shown in Fig. 1 and Fig. 2b complies with the classification of their hosts. Dipteran-infecting baculovirus, CuniNPV, locates the most deep  and stay outside the whole large clade, followed by the Hymenoptera baculovirus (NeleNPV and NeseNPV) and Lepidoptera baculovirus (the rest of them) [12, 31]. There are three hypotheses on the origin of Baculoviruses: originated within Lepidoptera with subsequent horizontal transmissions to other insect orders ; originated with the cocladogenesis of the viruses and their hosts ; originated from the ancestral baculoviruses that were probably able to infect the hosts of different orders, with ancient coevolution between the hosts and pathogens then leading to the different order host specialization . Our analysis apparently provides equal support to the last two hypotheses as postulated by Herniou , without comparing the division time of viruses and their hosts.
The division of Poxviridae into two subfamilies Chordopoxvirinae (ChPV) and Entomopoxvirinae (EnPV) shown in Fig. 1 and Fig. 2d, is the same as in the systematics of ICTV. Within the cluster Orthopoxviruses in ChPV, ECTV and CPXV are the most divergent, which is similar to McLysaght's study  and is also supported by another analysis based on multiple genes alignment . Capripoxvirus, Leporipoxvirus, Suipoxvirus and Yatapoxvirus form another cluster, in which Capripoxvirus and Suipoxvirus are much closer to each other, and this supports the hypothesis that they might have evolved from a common ancestor . In Figure 1, DPV, an unclassified Poxvirus, is assigned to ChPV subfamily, which agrees with Afonso's result .
Within the Herpesviridae family, Fig. 1 and Fig. 2c also supports the observations of an early split of the Beta- and Gammaherpesviruses from the Alphaherpesviruses . It is worth mentioning that TuHV-1, previously known only to belong to the Beta-subfamily, now is found to cluster with Cytomegaloviruses in Fig. 1, which follows Bahr's analysis . According to the taxonomy system of ICTV, the Gamma-subfamily consists of two genera, Lymphocryptovirus and Rhadinovirus. MuHV-4, whose position was previously unresolved and various [36, 38] is now assigned to Rhadinoviruses according to ICTV, and is the most divergent in fig. 1. The rest two ungulate herpesviruses within Rhadinoviruses, AIHV-1 and EHV-2, are divergent from others which is in accordance with other analyses [36, 38]. However, another ungulate herpesvirus, BoHV-4, clusters closely to HHV-8 and CeHV-17, which is incompatible with the hypothesis that herpesviruses have coevolved with their hosts .
All Iridoviruses except IIV-6 fall into one cluster in fig. 1. IIV-6 and ASFV from Asfarviridae group together, which partly supports the theory that Iridoviridae and Asfarviridae are monophyletic . It is interesting to note that ISaKNV, which was still an unclassified Iridovirus at the time we fixed our data sets, has been placed in a new genus Megalocytivirus, which supports both our analysis and Do's . The same is true of PsHV-1, which is assigned to Alphaherpesvirinae in fig. 1 just as ICTV has done not long ago, and it should belong to Iltovirus for it clusters to GaHV-1. Similarly, WSSV, an unclassified marine invertebrate virus , has also been classified into a new virus family, Nimaviridae, which is again supported by our results.
Our results could also provide some clues to these hypotheses about origins and evolution of viruses of several families.
Several unclassified viruses are analyzed for obtaining some hints for their possible taxonomic statuses. As shown in fig. 1, PsHV-1 may belong to Iltovirus, which was supported by Thureen's result ; AtHV-3 to Rhadinovirus the same as McGeoch's analysis ; TuHV-1 to Cytomegalovirus just as Bahr's result . SAdV-3 and SAdV-1 are close to HAdV-(A, B, C, D, E, F), and they may be two new species of Mastadenovirus [45, 46]. NeleNPV and NeseNPV group together, and they may belong to a new genus according to Herniou's results . In fig. 1 DPV locates between Suipoxvirus and Yatapoxvirus but not very closes to each of them, further supporting the idea that it appears to be assigned to a new genus Cervidpoxvirus [35, 47]. HZV-1, originally defined as Baculovirus but currently as an unclassified dsDNA virus , clusters with WSSV whin Nimaviridae in our results.
However, there are some outliers in fig. 1. IcHV-1 and OsHV-1 group closely but jump out of the branch of Herpesviridae, which is consistent with dissimilarities in sequence comparisons between OsHV-1 and the three vertebrate herpesvirus subfamilies  and up-to-date classification to two new families . CuniNPV stay outside the whole large clade of Baculoviridae , and it also should belong to a new genus according to Herniou's proposal . IIV-6 closes with ASFV  but stays outside all other Iridoviruses, which may support partly the theory that Iridoviridae and Asfarviridae are monophyletic .
We present here a phylogenetic analysis of large DNA viruses with the CV method and discuss their relationships at a deep level. The results support the biologist's systematics in overall structure and in many details and provide some clues to these hypotheses about origins and evolution of viruses of several families.
It should be pointed out that although baculoviruses and their hosts are obviously subject to coevolution , the phylogenetic relationships of many families and the lower taxonomic levels cannot be fully explained by only the hypothesis of coevolution, e.g. the variety of host origin of Atadenovirus and Siadenovirus and the location of BoHV-4.
Some traditional methods, e.g. the measures by concatenating aligned sequences, are efficient and powerful to recover the phylogeny of virus with closely evolutionary relationship. However, definition and selection of orthologs may limit their application to distance evolutionary viruses. Furthermore, these methods, in some cases, need adjustment or fine turning.
The CV method could circumvents the ambiguity of choosing orthologs especially for viruses since substitution rate of viruses is high and only a few number of universal common genes could be found (another paper about the stable analysis of the CV method will be submitted subsequently), it may suggest a new angle to Large DNA viruses evolution. Furthermore, the CV method is robust to HGT events. It has been observed that combining many genes could reduce sampling error and converge phylogenies on correct solution with good support [12, 52]. Herniou obtained 32 different tree topologies by using 63 individual genes and one tree based on the combined alignment of the 63 genes, while the latter was consistent with most individual gene trees . The CV method could use the information from all coding proteins so that it may still construct stable trees even dashing with a few horizontal transferred genes. We used two sets of data in our previous analysis on bacteria: one is based on whole genomes, and the other is a set of ribosome proteins. Both the results lead to reasonable phylogenetic trees but the first one is better, this shows that these orthologs only appeared in a subset species would also help to stabilize the tree topology. In this way, the method could be a well supplement to the traditional methods. The CV method may provide a quick reference in viruses phylogeneny and a fast analysis of co-evolution of viruses and their hosts whenever their proteomes are available .
All viral genomes were downloaded from NCBI before May. 24th, 2005. There are two available data sets of virus complete genomes. Those in GenBank  are the original data submitted by their authors. Those at the National Center for Biotechnological Information (NCBI)  are reference genomes curated by NCBI staff. Since the latter represents the approach of one and the same group using the same set of tools, it may provide a more consistent background for comparison. Therefore, we used all the translated amino acid sequences (the .faa files with NC_accession numbers) from NCBI. There are 1489 viral genomes, including 248 phages. Under the assumption that small DNA viruses (genome size < 10 k) probably have a different evolutionary history than large DNA viruses [9, 11], and their mutation rate approaches that of RNA viruses (the order of substitutions per site per year, ), only large DNA viruses (total length of all coding proteins > 4 k) were used in the phylogenetic analysis, which included 124 viruses (phages have been excluded). Among the 124 dsDNA viruses there are seven viruses that are classified to certain families but their lower taxonomy states remain unknown, and two viruses are tentative species, and one virus that is only recognized as a dsDNA virus. The Additional file 1 lists the dsDNA viruses used, their abbreviations, and the NCBI accession numbers [see Additional file 1: 124 large dsDNA virus names, abbreviations, and NCBI accession numbers].
The main steps of the method are (see  for details): First, collect all amino acid sequences of a species. Second, calculate the frequency of appearance of overlapping oligopeptides of length K. A random background needs to be subtracted from these frequencies by using a Markov model of order (K - 2) in order to diminish the influence of random neutral mutations at the molecular level and to highlight the shaping role of selective evolution. Some strings that contribute mostly to apomorphic characters become more significant after the subtraction. The subtraction procedure is an essential step in our method. Third, putting these "normalized" frequencies in a fixed order, a composition vector of dimension 20 K is obtained for each species. Fourth, the correlation C(A, B) between two species A and B is determined by taking projection of one normalized vector on another, i.e., taking the cosine of the angle between them. Lastly, the normalized distance between the two species is defined to be D = (1 - C)/2. Once a distance matrix has been calculated it is straightforward to construct phylogenetic trees by following the standard neighbor-joining method in the Phylip package .
The best choice of K is related to the uniqueness of sequence reconstruction from its K-word components and is determined basically by the length of the sequence at hand. According to so-called "sequencing by hybridization" , for dsDNA viral genomes with length around 4,000 a.a., the minimal K is estimated to be 5.
Only large genome viruses are used in our analysis to avoid the problem of small sample size when using CV method whose subtraction procedure is based on statistics. The CV method avoids the problems caused by HGT on the application of prokaryotic phylogeny by using whole genome sequences, because the extent of lateral transfer has been increasingly restricted to smaller and smaller gene pools of closer and closer related species as time goes by . However, its application on classification of small DNA viruses may be affected by HGT because of relative shorter genome length, that's one of the reasons only large DNA viruses are used.
The authors thank professor Bailin Hao for discussion and comments. The manuscript has greatly benefited from stimulating comments and suggestions of the three anonymous reviewers. The computation of this project was performed on the HP-SC45 Sigma-X parallel computer of ITP and ICTS, CAS. This paper was partailly based on the PhD thesis work of the two authors.
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