Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 07 June 2021
Sec. Virology
This article is part of the Research Topic Large DNA viruses – Research in this Opening Decade View all 12 articles

Discovery of Viral Myosin Genes With Complex Evolutionary History Within Plankton

  • 1Chemical Life Science, Institute for Chemical Research, Kyoto University, Uji, Japan
  • 2Metabolic Genomics, Genoscope, Institut de Biologie François Jacob, CEA, CNRS, Univ Evry, Université Paris Saclay, Évry-Courcouronnes, France
  • 3Laboratory of Marine Environmental Microbiology, Division of Applied Biosciences, Graduate School of Agriculture, Kyoto University, Kyoto, Japan

Nucleocytoplasmic large DNA viruses (NCLDVs) infect diverse eukaryotes and form a group of viruses with capsids encapsulating large genomes. Recent studies are increasingly revealing a spectacular array of functions encoded in their genomes, including genes for energy metabolisms, nutrient uptake, as well as cytoskeleton. Here, we report the discovery of genes homologous to myosins, the major eukaryotic motor proteins previously unrecognized in the virosphere, in environmental genomes of NCLDVs from the surface of the oceans. Phylogenetic analyses indicate that most viral myosins (named “virmyosins”) belong to the Imitervirales order, except for one belonging to the Phycodnaviridae family. On the one hand, the phylogenetic positions of virmyosin-encoding Imitervirales are scattered within the Imitervirales. On the other hand, Imitervirales virmyosin genes form a monophyletic group in the phylogeny of diverse myosin sequences. Furthermore, phylogenetic trends for the virmyosin genes and viruses containing them were incongruent. Based on these results, we argue that multiple transfers of myosin homologs have occurred not only from eukaryotes to viruses but also between viruses, supposedly during co-infections of the same host. Like other viruses that use host motor proteins for their intracellular transport or motility, these viruses may use the virally encoded myosins for the intracellular trafficking of giant viral particles.

Introduction

Viruses were considered as tiny and simple biological objects until La Scola et al. (2003) discovered a giant virus from the water of a cooling tower. The virus named mimivirus is 750 nm in particle size and possesses a 1,182 kbp genome (Colson et al., 2017), a dimension that was large and complex enough to blow off the classical perception of viruses. After the discovery of mimivirus, related viruses were isolated including marseilleviruses, pandoraviruses, and pithoviruses, many of them with similar or even larger-sized particles or genomes (Abergel et al., 2015; Colson et al., 2017). These giant viruses infect diverse eukaryotes, possess a double-stranded DNA genome, belong to the phylum Nucleocytoviricota (Koonin et al., 2020), and are commonly referred to as nucleocytoplasmic large DNA viruses (NCDLVs) (Iyer et al., 2006, p. 200). The monophyletic origin of NCLDVs has been suggested based on the presence of about 40 core genes of NCLDVs that can be traced back to their putative last common ancestor (Koonin and Yutin, 2019) as well as the congruent phylogenies of the most conserved eight proteins responsible for virion morphogenesis and informational processes (Guglielmini et al., 2019).

Because of their large virions, NCLDVs can encapsulate a large genome (several hundred kb up to 2.5 Mb) in their particles. Smaller viruses (such as small RNA viruses) encode only genes that are essential for their genome replication and capsid formation, while NCLDVs encode numerous genes that are not directly involved in their genome replication and virion morphogenesis (Moniruzzaman et al., 2020). These genes, often called auxiliary metabolic genes, are considered to function in reprogramming host metabolism and molecular machinery during viral infection toward enhancing viral replication and subsequent transmission to another host. For example, the recently characterized Prymnesium kappa virus RF01 encodes genes for all four succinate dehydrogenase subunits, as well as genes for modulating β-oxidation pathway (Blanc-Mathieu et al., 2021). These viral genes are suggested to boost energy production during viral replication, which can deteriorate host metabolism, or to enhance the supply of building blocks for viral replication. Another recent study reported the presence of actin genes (viractins) in NCLDV genomes (Cunha et al., 2020). Viractins are hypothesized to help viral infections by controlling the localization of the viral factory close to the host nucleus.

Hundreds of genomes have already been sequenced for cultured NCLDVs, yet these represent only the tip of iceberg of the diverse NCLDVs uncovered through environmental surveys (Schulz et al., 2020). To bypass cultivation, genome-resolved metagenomics has been applied to large metagenomic surveys, including on oceanic samples collected by Tara Oceans (Sunagawa et al., 2020), in order to characterize NCLDV metagenome-assembled genomes (MAGs) containing the gene pool of thousands of those viruses (Moniruzzaman et al., 2020; Schulz et al., 2020). NCLDV MAGs revealed a cosmopolitan nature of these viruses, extensive gene transfers with eukaryotes, and their complex metabolic capabilities.

In this study, we describe the identification of myosin genes in previously published NCLDV MAGs as well as newly identified ones derived from a manual binning and curation effort focused on large cellular size fractions of Tara Oceans enriched in NCLDVs when infecting planktonic eukaryotes (see section “Materials and Methods”). Myosin genes, which have not been previously described in viral genomes from cultures, form a superfamily of motor proteins involved in a wide range of motility processes in eukaryotic cells. Myosins have been grouped into various classes (Odronitz and Kollmar, 2007). Most myosins are classified into class 1–35 based on their phylogenetic relationships, while other myosins are phylogenetically orphan and classified into class A to U (Odronitz and Kollmar, 2007). The functions of orphan myosins are often unknown, while the functions of some members of the class 1–35 are characterized. For example, some myosins of class 2 contract muscle (Pertici et al., 2018), while some myosins of class 5 transport specific material along actin filaments (Hammer and Sellers, 2011). The various functions of myosins are supported by the head domains (Odronitz and Kollmar, 2007), which are universally conserved among myosins, interact with actins, and frequently serve for phylogenetic analyses (Odronitz and Kollmar, 2007). The head domains of myosins interact with actins when myosins bind ADP, whereas, when ADP is absent or ATP is in the ADP-binding site of myosins, the head domains no longer interact with actins. The tail part contains various domains, including coiled-coil domains (class 2 myosins), ankyrin repeats, and IQ motifs (Odronitz and Kollmar, 2007).

Materials and Methods

NCLDV MAGs Derived From the Tara Ocean Project

Newly identified NCLDV MAGs were manually characterized and curated from the Tara Oceans metagenomes (size fractions > 0.8 μm), based on an initial binning strategy at large-scale focused on eukaryotes (Delmont et al., 2020), and following the same workflow as in previous studies (Cunha et al., 2020; Delmont et al., 2020; Kaneko et al., 2021). Briefly, metagenomes were organized into 11 sets based on their geography, and each set was co-assembled using MEGAHIT (Li et al., 2015) v.1.1.1. For each set, scaffolds longer than 2.5 kbp were processed within the bioinformatics platform anvi’o v.6.1 (Eren et al., 2015) to generate genome-resolved metagenomes (Delmont et al., 2018). CONCOCT (Alneberg et al., 2014) was used to identify large clusters of contigs within the set. We then used HMMER (Eddy, 2011) v3.1b2 to search for eight NCLDV gene markers (Guglielmini et al., 2019), and identified NCLDV MAGs by manually binning CONCOCT clusters using the anvi’o interactive interface. Finally, NCLDV MAGs were manually curated using the same interface, to minimize contamination as described previously (Delmont and Eren, 2016).

Sequence Datasets

To prepare a sequence set for the DNA polymerase elongation subunit family B (PolB), we first extracted PolB protein sequences from NCVOG (Yutin et al., 2009). Next, we collected PolB sequences by performing BLASTP from Virus-Host DB (Mihara et al., 2016) against the PolB sequences from NCVOG. We retained hits with an E-value < 1e-10. To identify PolBs in the NCLDV MAGs, we performed BLASTP from sequences derived from NCDLV MAGs generated by Moniruzzaman et al. (2020); Schulz et al. (2020), and ourselves (Tara Oceans MAGs) against the PolB sequences from NCVOG and Virus-Host DB. We retained hits with an E-value < 1e-10 and with their length in a range from 800 amino acids (aa) up to 1,800 aa to exclude anomalously short or long sequences that are difficult to align. We pooled these PolB sequences, and then removed redundancy using cd-hit (4.8.1) (Li and Godzik, 2006) and manually curated the dataset to reduce its size.

To identify eight core genes of NCLDVs [DNA polymerase elongation subunit family B, D5-like helicase-primase, Poxvirus Late Transcription Factor VLTF3 like, Transcription factor S-II (TFIIS), packaging ATPase, NCLDV major capsid protein, DNA-directed RNA polymerase subunit alpha, and DNA-directed RNA polymerase subunit beta] (Koonin and Yutin, 2019) in NCLDV MAGs, we performed BLASTP (E-value < 1e-5, no length cutoff) from protein sequences derived from the MAGs against eight core genes recorded in NCVOG (Yutin et al., 2009).

For myosin homologs, we used full-length myosin sequences from a previous study (Odronitz and Kollmar, 2007) as primal references for myosins. This dataset contains various classes of myosins from diverse organisms. Next, we extracted myosin homologs from MMETSP (Keeling et al., 2014) and RefSeq (O’Leary et al., 2016) by performing BLASTP (blast 2.11.0) against the primal references to generate secondary references for full-length myosin sequences. We considered hits with an E-value < 1e-10 in this search. We identified myosin head domains in the primal and secondary myosin reference sequences by performing hmmscan (HMMER 3.3.1) (Eddy, 2011). We used Pfam (El-Gebali et al., 2019) as the HMM model for the hmmscan search and considered hits that were annotated as “Myosin_head” and showed an E-value < 1e-10. From each taxonomic group (the rank just below “Eukaryota” in the NCBI taxonomy, mostly corresponding to a class or higher level) and for each represented myosin class, we retained one representative sequence from primary and secondary reference sequences. Thus, the selected non-redundant sequence set represents myosins from wide classes and wide taxonomic ranges. To identify myosin sequences in the NCLDV MAGs, we performed BLASTP from sequences derived from MAGs against the primal myosin references. We considered hits with an E-value < 1e-10. We identified myosin head domains by performing hmmscan (Eddy, 2011). We considered hits that were annotated as “Myosin_head” with an E-value < 1e-10 and length longer than 550 aa.

Multiple Sequence Alignment

Multiple sequence alignments were generated using MAFFT (v7.471) (Katoh et al., 2019) with the L-INS-i algorithm, which is suitable for sequences that have only one alignable domain. After multiple alignment, we removed gappy sites by using trimAl (v1.4.rev15) (Capella-Gutiérrez et al., 2009) with “-gappyout” option.

For myosin sequences from viruses and eukaryotes, we generated two trimmed alignments by removing gapped columns using “-strict” option (named “strict dataset”), in addition to the “-gappyout” option (named “gappy dataset”). Finally, we removed sequences which have more than 30% gaps along the entire length of the alignment from each dataset to exclude divergent sequences.

Phylogenetic Analysis

The phylogenetic analyses were conducted with the ML framework using IQ-TREE (1.6.12) (Minh et al., 2020). For each alignment, we used the best substitution model selected by ModelFinder (Kalyaanamoorthy et al., 2017) of IQ-TREE. The selected models are described in the figure legends. The branch support values were computed based on the non-parametric bootstrap method with 100 bootstrap replicates, as well as transfer bootstrap expectation (TBE) with BOOSTER-WEB (Lemoine et al., 2018). TBE replaces the branch presence frequency in non-parametric bootstrap proportion (i.e., the expectation of a 0/1 function) by the expectation of a nearly continuous function. TBE supports acknowledge the presence of unstable taxa (single taxa that tends to move in and out of clades) and provide an alternative view of the robustness of a tree.

In the reconstruction of the phylogenetic tree of PolBs, Poxviridae sequences have been shown to be difficult to confidently position and tend to reduce the global resolution of phylogenetic trees, and were therefore subsequently removed as suggested by Guglielmini et al. (2019) to enhance the resolution of the phylogenetic trees.

For myosin sequences from viruses and eukaryotes, we also built phylogenetic trees using RAxML (8.2.12) (Stamatakis, 2014) on both “gappy” and “strict” datasets. We tried four substitution models (i.e., PROTCATAUTO, PROTCATIAUTO, PROTGAMMAAUTO, and PROTGAMMAIAUTO) and selected the tree with the highest likelihood score. Therefore, we obtained four trees for these myosin sequences (i.e., gappy/IQ-TREE, strict/IQ-TREE, gappy/RAxML, and strict/RAxML).

Visualization

The phylogenetic trees were visualized with iTOL v4 (Letunic and Bork, 2019).

Motif Search

We performed InterProScan (5.44-79.0) (Mitchell et al., 2019) to find motifs against each protein sequence derived from the NCLDV MAGs.

Results and Discussion

Myosin Genes in NCLDV Genomes

We identified myosin-related genes in a total of 24 NCLDV MAGs (out of 2,275 considered in our survey) by performing BLASTP against reference myosin sequences compiled from a previous study (Odronitz and Kollmar, 2007), through our own independent effort from a parallel environmental genomic survey (Ha et al., 2021). These NCLDV MAGs were derived from the large cellular size fractions of Tara Oceans (n = 10) and studies by Moniruzzaman et al. (2020) (n = 5) and Schulz et al. (2020) (n = 9). All NCLDV MAGs but one originate from marine plankton samples (Supplementary Table 1). The size and number of genes in these 24 NCLDV MAGs ranged from 239 to 996 kb (633 kb on average) and 306 to 1,071 (643 on average), respectively (Supplementary Tables 1, 2). The average length of the viral myosin sequences was 964 aa (702–1,076 aa). The viral myosin sequences contain the head domain (651 aa on average, from 583 to 754 aa) and the tail domain (265 aa on average, from 5 to 381 aa). The tail domain did not show the coiled-coil domain, which is seen in the class 2 myosin (functioning in muscle). Instead, the tail domains of the virmyosins in some cases (15 out of 24) contained the IQ calmodulin-binding motif, which functions to bind calmodulin and is often seen in various classes of myosin (Supplementary Table 3) (Odronitz and Kollmar, 2007). An alignment of myosin head domain sequences from various organisms with these viral sequences establishes their strong homology (Supplementary Figure 1). Eight of 24 viral myosin genes were detected in the previously published marine metatranscriptomic data (Carradec et al., 2018) at >95% nt identify, suggesting their transcriptional activity in the ocean. The taxonomies of the closest homologs of other genes encoded together with the myosin homologs in the same contigs (Figure 1) revealed that a large proportion of genes (up to 44% and 15% on average) in the contigs best match to NCLDV genes. Some of these contigs encode NCLDV marker genes (Figure 1). Furthermore, each contig contains a large proportion of putative genes without any significant hit in public databases. Most of the viral myosin genes show a relatively low G + C content (24.2% on average), although this was slightly lower than the remaining genic regions (28.1% on average) (Supplementary Table 1). These features are specific for NCLDVs, thus excluding the possibility of contaminated myosin homologs in the NCLDV MAGs for most cases. We thus designate the viral myosin homologs as virmyosins. However, this does not mean that all the analyzed 2,275 MAGs are free of contamination from other organisms or viruses. We also recognize that the evidence for the NCLDV origin is weak for short contigs even among those shown in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1. Taxonomic annotation of genes encoded in the virmyosin-harboring NCLDV contigs. Best hit-based taxonomic annotation was performed for each gene using BLAST against the RefSeq database. Identifiers on the x-axis represent the names of MAGs that contain virmyosin-encoding contigs. Marks above the bars indicate the presence of NCLDV core genes in the corresponding contigs, including Poxvirus Late Transcription Factor VLTF3 like (red triangle), major capsid protein (red circle), RNA polymerase subunit alpha (red rectangle), and RNA polymerase subunit beta (green rectangle).

To investigate the evolutionary relationships between the virmyosin-encoding NCLDVs, we performed phylogenetic analyses based on DNA polymerases (PolBs), a commonly used phylogenetic maker for NCLDVs. Eighteen of the 24 virmyosin-harboring MAGs were found to also encode PolB and were thus subjected to this analysis. The generated tree indicates that all but one of these virmyosin-encoding MAGs belong to the Imitervirales order (including mimiviruses and alga-infecting mimivirus relatives), the grouping of which was supported with a bootstrap value of 100% (Figure 2 and Supplementary Figure 2). However, the lineages of virmyosin-encoding MAGs were scattered within four distantly related clades in the Imitervirales branches (clades c1, c2, c3, and c4). Two of these clades (c3 and c4) were supported by a bootstrap value ≥ 91%, and all were supported by a TBE value ≥ 95%. The members of c1 and c3 are closely related to Cafeteria roenbergensis virus and Aureococcus anophagefferens virus, respectively. There were no closely related isolated viruses for c2 and c4. A previous study described the identification of viractin genes in two distant clades of the genomes of the Imitervirales order (Cunha et al., 2020). In the PolB tree we generated, the viractin-encoding MAGs were again placed within the Imitervirales branches but did not show close relationships with the virmyosin-encoding MAGs. One of the virmyosin-encoding MAGs was classified in the Phycodnaviridae family, being closely located to Emiliania huxleyi virus in the tree. This virmyosin was encoded in a contig harboring seven genes (MAG: TARA_ARC_NCLDV_Bin_278_6; contig: c_000000000006), of which two best hit to NCLDVs (Figure 1). Given the small size of the contig, the possibility of contamination cannot be totally excluded for this contig.

FIGURE 2
www.frontiersin.org

Figure 2. Phylogenetic tree of NCLDVs based on DNA polymerase B. The tree was built from an alignment (993 sites) of 205 PolB sequences of NCLDVs (18 MAGs encoding myosin gene, 13 MAGs encoding actin gene, and 174 other broad and unbiased taxa from the reference database). Branches labeled with red and blue circles represent NCLDV MAGs with virmyosin and viractin genes, respectively. Branches are color-coded based on family- or order-level taxonomy. The MAPI superclade (shown in orange) comprises Marseilleviridae, Ascoviridae, Pitho-like viruses, and Iridoviridae. Paired-numerical values represent the non-parametric bootstrap (left) and TBE (right) values for the branch support. Phycodnaviridae MAG with virmyosin is phylogenetically close to Emiliania huxleyi virus with maximum bootstrap and TBE supports. We used MAPI superclade as an outgroup to root the tree. The LG + F + R10 substitution model was selected by IQ-TREE for the best model for tree reconstruction.

Six of the 24 virmyosin-harboring MAGs did not encode PolB. When searched against reference isolated viral genomes, most of the NCLDV core genes from these six MAGs showed the largest sequence similarities to the viruses of Imitervirales, suggesting that they are the members of this order (Supplementary Table 4).

Since myosins are universal in the eukaryotic domain, we hypothesized that these NCLDVs acquired myosin homologs by horizontal gene transfers (HGTs) from various eukaryotes. To determine the source eukaryotic lineages for the putative HGTs, we performed phylogenetic analyses on the virmyosin and reference myosin sequences. We generated four phylogenetic trees with different methods (Figure 3 and Supplementary Figures 3A–E; see section “Materials and Methods”). The phylogenetic placement of the virmyosin from the MAG belonging to the Phycodnaviridae family was unstable. However, all the trees showed a monophyletic group of Imitervirales virmyosins. The grouping is supported by a bootstrap value of 71% and TBE of 98% (Figure 3 and Supplementary Figure 3E).

FIGURE 3
www.frontiersin.org

Figure 3. Phylogeny of myosin from NCLDVs and eukaryotic lineages. The tree was built from the multiple sequence alignment (658 sites) of 286 myosin head domain sequences. Branches are color-coded based on taxonomic groups (orange branches correspond to virmyosins). The Imitervirales virmyosin clade (highlighted with a pale blue-colored background) was supported with a bootstrap value of 71% of and TBE of 98%. We consider myosin-II as an outgroup to root this tree. The LG + R10 substitution model was selected by IQ-TREE for the best model for tree reconstruction.

To examine the effect of long-branch attraction on the formation of the Imitervirales virmyosin clade, we computed the pair-wise sequence identities within virmyosins and between virmyosins and eukaryotic myosins (Figure 4). The sequence similarities for many of the virmyosin pairs were higher than those between virmyosins and eukaryotic myosins, thus diminishing the possibility of long branch attraction effect on the monophyletic grouping the Imitervirales virmyosins. The Imitervirales virmyosin clade is branching out from orphan myosins of the SAR (Stramenopiles, Alveolates, and Rhizaria) supergroup, but the grouping of these virmyosins and the orphan myosins was not supported. Finally, to further improve the tree reconstruction, we built a phylogenetic tree using the virmyosin sequences as well as eukaryotic myosin sequences that formed a clade together with the virmyosins (the clade marked with red “” in Figure 3). The newly generated tree again displayed the monophyletic grouping of the Imitervirales virmyosins (bootstrap value, 98% and TBE, 100%) and placed it within a clade of myosin sequences from Apicomplexa (Toxoplasma gondii), Stramenopiles (the diatom Thalassiosira pseudonana, and the oomycete Hyaloperonospora parasitica), and a fungus (Rhizopogon burlinghamii) (Figure 5 and Supplementary Figures 3F,G). We further regenerated a myosin tree by adding diverse eukaryotic myosin sequences (Supplementary Figures 3H,I). The tree showed a monophyletic group of the virmyosins within a clade enriched with sequences from SAR. However, the grouping of the virmyosins and eukaryotic sequences was not supported. This grouping and the fact that eukaryotes belonging to the SAR supergroup represent a major group of marine plankton suggest a possible SAR origin for virmyosins but leave the specific source lineage unresolved due to the lack of statistical support.

FIGURE 4
www.frontiersin.org

Figure 4. Distributions of pair-wise myosin sequence similarities within the NCLDVs (virmyosin vs virmyosin) and between NCLDVs and eukaryotes (virmyosin vs eukaryotic myosin). This graph shows that the mean value of myosin similarity within NCLDVs is higher than that between NCLDVs and eukaryotes.

FIGURE 5
www.frontiersin.org

Figure 5. Phylogeny of virmyosins and their close relatives in eukaryotes. The tree was built from an alignment (688 sites) of 81 myosin sequences of NCLDVs, Amoebozoa, SAR (Stramenopiles, Alveolata, and Rhizaria), Opisthokonta, Cryptophyceae, Viridiplantae, and Glaucocystophyceae. Background of the Imitervirales virmyosin clade is pale blue-colored. Branches are color-coded based on taxonomic groups (orange branches correspond to virmyosins). We consider myosin-II of Nasonia vitripennis and Neurospora crassa as outgroups to root this tree. The LG + F + R7 substitution model was selected by IQ-TREE for the best model for tree reconstruction.

Possible HGT Scenarios for the Virmyosin

We next examined the congruence of the tree of virmyosins and the viral trees based on PolB and eight core genes of NCLDVs. In this analysis, we focused on 18 MAGs that encode both virmyosin and PolB. Congruence of the topologies between these trees (the virmyosin tree and viral trees) is expected if the original virmyosin gene was acquired by an ancestral virus prior to the divergence of viral families or orders. We extracted subtrees for 18 virmyosins from Figure 3 and 18 PolBs from Figure 2 (Figures 6A,B). The tree based on the NCLDV core genes was newly reconstructed (Figure 6C), which was mostly congruent with the tree based on PolB (Figure 6B). To investigate the congruence of the trees, we focused on clades in the virmyosin tree that were supported with a bootstrap value greater than 99%. The analysis revealed the clades II and III form monophyletic groups also in the viral trees. However, the monophyletic clades I and IV in the virmyosin tree turned out to be polyphyletic in the viral trees with statistical supports (Figure 6). This result suggests that multiple and distantly related ancestral viruses of Imitervirales independently acquired myosin genes through HGTs.

FIGURE 6
www.frontiersin.org

Figure 6. Phylogenetic trees of (A) viral myosins, (B) PolBs, and (C) core gene sequences from MAGs encoding both genes myosin and PolB. Labels at the leaves are the identifiers of the NCLDV MAGs. Clades supported with a parametric bootstrap value > 99% in the myosin tree are marked in both trees by colored rectangles. This myosin and PolB trees were generated from Figure 3 and Figure 2 by extracting MAGs encoding both myosin and PolB, respectively. Clades I–IV correspond to highly supported groups in the myosin tree.

The monophyletic grouping of the Imitervirales virmyosins and the scattered distribution of the virmyosin-encoding Imitervirales in the viral trees are intriguing. We consider four major possibilities for the origin of virmyosins. The first possibility is that all the Imitervirales myosin genes were vertically inherited from an ancestral virus of the Imitervirales, and subsequently lost independently in most of the descendant lineages. This scenario is not parsimonious as it needs to assume many independent gene losses, given 24 virmyosin-encoding NCLDVs and over 2,000 NCLDVs lacking virmyosin. The second possibility is that myosin genes were independently recruited multiple times from eukaryotes by ancestral viruses belonging to the Imitervirales. This scenario can account for the topological differences between the virmyosin and viral trees. However, this scenario cannot readily explain the monophyletic grouping of the virmyosins, as this scenario needs to additionally assume independent horizontal acquisitions of myosin genes by distantly related ancestral viruses from the same or closely related eukaryotes (e.g., ancestral SAR). Such acquisitions seem implausible because host changes are likely rampant events for Imitervirales given the wide host ranges of the known viruses in this group (Sun et al., 2020). The third possibility is that a myosin gene transfer occurred once in a viral lineage of Imitervirales from its host. Then, after the viral myosin gene acquired beneficial functions for the virus, this gene was transferred to other viruses, probably during co-infection in the same host (which may be different from the current hosts). Of note, a previous study reported a clear case of HGT between NCLDVs (Christo-Foroux et al., 2020). This scenario can explain both the topological difference between the virmyosin and viral trees and the monophyletic grouping of the virmyosins. Finally, as a remote possibility, myosin genes could have been transferred from an ancient giant virus to a eukaryotic ancestor [either before or after the Last Eukaryotic Common Ancestor (LECA)] as suggested for DNA-dependent RNA polymerases (Guglielmini et al., 2019). This scenario is not supported by the tree topology of myosins. However, given the unresolved deep branches in the tree especially for the virmyosin clade, this scenario cannot be excluded as a possible one. In this case, gene transfers between NCLDVs still need to be invoked to account for the monophyly of virmyosins. Further exploration of the actual diversity of Imitervirales, and more globally of NCLDVs, from various environments will certainly provide important insights regarding the robustness of these hypotheses.

Possible Roles of Virmyosin

Myosins are known to walk along actin filaments, which are located at the peripheric side of the cytoplasm (Geada et al., 2001; Handa et al., 2013). For example, the actin and microtubule cytoskeletons cooperate in organelle transport in a variety of situations (Goode et al., 2000; Rogers and Gelfand, 2000). Secretory vesicles also move by both microtubule- and actin-based molecular motors (Geada et al., 2001). Some classes of myosins function as a transporter to carry specific materials including viruses. For example, in the case of human immunodeficiency virus and influenza A virus, virus-containing endocytic viral cargoes propelled by class 2 myosin moving on filamentous actin spread to neighboring uninfected cells (Kadiu and Gendelman, 2011; Roberts et al., 2015). Motor proteins are used for the intracellular motility of NCLDVs. For example, motor proteins such as kinesin and dynein are known to transport African swine fever virus on microtubules (Jouvenet and Wileman, 2005). Intracellular enveloped viruses of vaccinia virus are transported toward the cell surface in a microtubule-dependent process (Hollinshead et al., 2001). Virmyosin identified in the environmental NCLDV genomes in this study may function in intracellular transport of virions like these viruses. Of note, there is no clear case for the use of myosin molecular motors by NCLDVs for their intracellular transport or motility. It has been speculated that the slow movements of intracellular enveloped virus of vaccinia virus that persist in the absence of microtubules may be related to the action of myosin motors (Geada et al., 2001). It is also known that the formation of actin tail, which propels virions of vaccinia virus, requires host Myosin-9A (Handa et al., 2013), but the role Myosin-9A as molecular motor in this process is unknown.

Conclusion

In this study, we provided strong evidence showing that marine members of NCLDVs encode myosin homologs (virmyosins). The function of virmyosin could not be inferred based on the similarity to functionally characterized myosin homologs. Together with the previously discovered actin homologs in NCLDVs, these results suggest that the genetic independence of NCLDVs from their hosts encompasses a wide-range of cellular processes, including intracellular trafficking as implied by our study and the translation process as considered from previous discoveries of translation genes in this group of viruses. Our phylogenetic analyses suggest a complex evolutionary origin of the virmyosin genes, which may involve not only HGTs from eukaryotes to NCLDVs but also intra-virus HGTs within NCLDVs. The functions encoded in the huge genetic pool of NCLDVs are revealing the amazingly diverse strategies to control host cellular processes in this diverse group of viruses. Scrutinizing available and newly generated environmental genomes will contribute to better characterizing the infection strategies of this fascinating group of viruses.

Data Availability Statement

Tara Oceans raw read data analyzed in Delmont et al. (2020) and the present study are available at the EBI under project PRJEB402 (https://www.ebi.ac.uk/ena/browser/view/PRJEB402). All the NCLDV MAG data presented in this study, as well as associated data (e.g., sequence datasets, multiple sequence alignments, and phylogenetic trees) are available from ftp://ftp.genome.jp/pub/db/community/tara/Virmyosin/ and https://www.genome.jp/ftp/db/community/tara/Virmyosin/.

Author Contributions

SK performed most of the bioinformatics analyses and wrote the initial version of the manuscript. TD performed metagenomic analyses. UM contributed to the discovery of viral myosin genes. MG contributed to the phylogenetic and evolutionary analyses. HO designed the project. HE and HO supervised the work. All authors contributed to the interpretation of the data and finalization of the manuscript, and approved the final manuscript.

Funding

This study was supported by JSPS KAKANHI (18H02279), Research Unit for Development of Global Sustainability, Kyoto University Research Coordination Alliance, and the Collaborative Research Program of the Institute for Chemical Research, Kyoto University (No. 2020-28).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank the Tara Oceans consortium and the people and sponsors who supported Tara Oceans. Tara Oceans (that includes both the Tara Oceans and Tara Oceans Polar Circle expeditions) would not exist without the leadership of the Tara Expeditions Foundation and the continuous support of 23 institutes (https://oceans.taraexpeditions.org). This article is contribution number 117 of Tara Oceans. Computation time was provided by the SuperComputer System, Institute for Chemical Research, Kyoto University.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2021.683294/full#supplementary-material

References

Abergel, C., Legendre, M., and Claverie, J.-M. (2015). The rapidly expanding universe of giant viruses: mimivirus, pandoravirus, pithovirus and mollivirus. FEMS Microbiol. Rev. 39, 779–796. doi: 10.1093/femsre/fuv037

PubMed Abstract | CrossRef Full Text | Google Scholar

Alneberg, J., Bjarnason, B. S., de Bruijn, I., Schirmer, M., Quick, J., Ijaz, U. Z., et al. (2014). Binning metagenomic contigs by coverage and composition. Nat. Methods 11, 1144–1146. doi: 10.1038/nmeth.3103

PubMed Abstract | CrossRef Full Text | Google Scholar

Blanc-Mathieu, R., Dahle, H., Hofgaard, A., Brandt, D., Ban, H., Kalinowski, J., et al. (2021). A persistent giant algal virus, with a unique morphology, encodes an unprecedented number of genes involved in energy metabolism. J. Virol. 95:e02446–20. doi: 10.1128/JVI.02446-20

PubMed Abstract | CrossRef Full Text | Google Scholar

Capella-Gutiérrez, S., Silla-Martínez, J. M., and Gabaldón, T. (2009). trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25, 1972–1973. doi: 10.1093/bioinformatics/btp348

PubMed Abstract | CrossRef Full Text | Google Scholar

Carradec, Q., Pelletier, E., Da Silva, C., Alberti, A., Seeleuthner, Y., Blanc-Mathieu, R., et al. (2018). A global ocean atlas of eukaryotic genes. Nat. Commun. 9:373. doi: 10.1038/s41467-017-02342-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Christo-Foroux, E., Alempic, J.-M., Lartigue, A., Santini, S., Labadie, K., Legendre, M., et al. (2020). Characterization of mollivirus kamchatka, the first modern representative of the proposed molliviridae family of giant viruses. J. Virol. 94:e01997–19. doi: 10.1128/JVI.01997-19

PubMed Abstract | CrossRef Full Text | Google Scholar

Colson, P., La Scola, B., and Raoult, D. (2017). giant viruses of amoebae: a journey through innovative research and paradigm changes. Annu. Rev. Virol. 4, 61–85. doi: 10.1146/annurev-virology-101416-041816

PubMed Abstract | CrossRef Full Text | Google Scholar

Cunha, V. D., Gaia, M., Ogata, H., Jaillon, O., Delmont, T. O., and Forterre, P. (2020). Giant viruses encode novel types of actins possibly related to the origin of eukaryotic actin: the viractins. bioRxiv [Preprint] doi: 10.1101/2020.06.16.150565

CrossRef Full Text | Google Scholar

Delmont, T. O., and Eren, A. M. (2016). Identifying contamination with advanced visualization and analysis practices: metagenomic approaches for eukaryotic genome assemblies. Peer J. 4:e1839. doi: 10.7717/peerj.1839

PubMed Abstract | CrossRef Full Text | Google Scholar

Delmont, T. O., Gaia, M., Hinsinger, D. D., Fremont, P., Guerra, A. F., Eren, A. M., et al. (2020). Functional repertoire convergence of distantly related eukaryotic plankton lineages revealed by genome-resolved metagenomics. bioRxiv [Preprint] doi: 10.1101/2020.10.15.341214

CrossRef Full Text | Google Scholar

Delmont, T. O., Quince, C., Shaiber, A., Esen, ÖC., Lee, S. T., Rappé, M. S., et al. (2018). Nitrogen-fixing populations of Planctomycetes and Proteobacteria are abundant in surface ocean metagenomes. Nat. Microbiol. 3, 804–813. doi: 10.1038/s41564-018-0176-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Eddy, S. R. (2011). Accelerated profile HMM searches. PLoS Comput. Biol. 7:e1002195. doi: 10.1371/journal.pcbi.1002195

PubMed Abstract | CrossRef Full Text | Google Scholar

El-Gebali, S., Mistry, J., Bateman, A., Eddy, S. R., Luciani, A., Potter, S. C., et al. (2019). The Pfam protein families database in 2019. Nucleic Acids Res. 47, D427–D432. doi: 10.1093/nar/gky995

PubMed Abstract | CrossRef Full Text | Google Scholar

Eren, A. M., Esen, ÖC., Quince, C., Vineis, J. H., Morrison, H. G., Sogin, M. L., et al. (2015). Anvi’o: an advanced analysis and visualization platform for ’omics data. Peer J. 3:e1319. doi: 10.7717/peerj.1319

PubMed Abstract | CrossRef Full Text | Google Scholar

Geada, M. M., Galindo, I., Lorenzo, M. M., Perdiguero, B., and Blasco, R. (2001). Movements of vaccinia virus intracellular enveloped virions with GFP tagged to the F13L envelope protein. J. Gen. Virol. 82, 2747–2760. doi: 10.1099/0022-1317-82-11-2747

PubMed Abstract | CrossRef Full Text | Google Scholar

Goode, B. L., Drubin, D. G., and Barnes, G. (2000). Functional cooperation between the microtubule and actin cytoskeletons. Curr. Opin. Cell Biol. 12, 63–71. doi: 10.1016/s0955-0674(99)00058-7

CrossRef Full Text | Google Scholar

Guglielmini, J., Woo, A. C., Krupovic, M., Forterre, P., and Gaia, M. (2019). Diversification of giant and large eukaryotic dsDNA viruses predated the origin of modern eukaryotes. Proc. Natl. Acad. Sci. U.S.A. 116, 19585–19592. doi: 10.1073/pnas.1912006116

PubMed Abstract | CrossRef Full Text | Google Scholar

Ha, A. D., Moniruzzaman, M., and Aylward, F. O. (2021). High transcriptional activity and diverse functional repertoires of hundreds of giant viruses in a coastal marine system. bioRxiv [Preprint] doi: 10.1101/2021.03.08.434518

CrossRef Full Text | Google Scholar

Hammer, J. A., and Sellers, J. R. (2011). Walking to work: roles for class V myosins as cargo transporters. Nat. Rev. Mol. Cell Biol. 13, 13–26. doi: 10.1038/nrm3248

PubMed Abstract | CrossRef Full Text | Google Scholar

Handa, Y., Durkin, C. H., Dodding, M. P., and Way, M. (2013). Vaccinia virus F11 promotes viral spread by acting as a PDZ-containing scaffolding protein to bind myosin-9A and inhibit RhoA signaling. Cell Host Microbe 14, 51–62. doi: 10.1016/j.chom.2013.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Hollinshead, M., Rodger, G., Van Eijl, H., Law, M., Hollinshead, R., Vaux, D. J., et al. (2001). Vaccinia virus utilizes microtubules for movement to the cell surface. J. Cell Biol. 154, 389–402. doi: 10.1083/jcb.200104124

PubMed Abstract | CrossRef Full Text | Google Scholar

Iyer, L. M., Balaji, S., Koonin, E. V., and Aravind, L. (2006). Evolutionary genomics of nucleo-cytoplasmic large DNA viruses. Virus Res. 117, 156–184. doi: 10.1016/j.virusres.2006.01.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Jouvenet, N., and Wileman, T. (2005). African swine fever virus infection disrupts centrosome assembly and function. J. Gen. Virol. 86, 589–594. doi: 10.1099/vir.0.80623-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Kadiu, I., and Gendelman, H. E. (2011). Human immunodeficiency virus type 1 endocytic trafficking through macrophage bridging conduits facilitates spread of infection. J. Neuroimmune Pharmacol. 6, 658–675. doi: 10.1007/s11481-011-9298-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalyaanamoorthy, S., Minh, B. Q., Wong, T. K. F., von Haeseler, A., and Jermiin, L. S. (2017). ModelFinder: fast model selection for accurate phylogenetic estimates. Nat. Methods 14, 587–589. doi: 10.1038/nmeth.4285

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaneko, H., Blanc-Mathieu, R., Endo, H., Chaffron, S., Delmont, T. O., Gaia, M., et al. (2021). Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean. iScience 24:102002. doi: 10.1016/j.isci.2020.102002

PubMed Abstract | CrossRef Full Text | Google Scholar

Katoh, K., Rozewicki, J., and Yamada, K. D. (2019). MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. Brief. Bioinform. 20, 1160–1166. doi: 10.1093/bib/bbx108

PubMed Abstract | CrossRef Full Text | Google Scholar

Keeling, P. J., Burki, F., Wilcox, H. M., Allam, B., Allen, E. E., Amaral-Zettler, L. A., et al. (2014). The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): illuminating the functional diversity of eukaryotic life in the oceans through transcriptome sequencing. PLoS Biol. 12:e1001889. doi: 10.1371/journal.pbio.1001889

PubMed Abstract | CrossRef Full Text | Google Scholar

Koonin, E. V., and Yutin, N. (2019). Evolution of the large nucleocytoplasmic DNA viruses of eukaryotes and convergent origins of viral gigantism. Adv. Virus Res. 103, 167–202. doi: 10.1016/bs.aivir.2018.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Koonin, E. V., Dolja, V. V., Krupovic, M., Varsani, A., Wolf, Y. I., Yutin, N., et al. (2020). Global organization and proposed megataxonomy of the virus world. Microbiol. Mol. Biol. Rev. 84, e00061–19. doi: 10.1128/MMBR.00061-19

PubMed Abstract | CrossRef Full Text | Google Scholar

La Scola, B., Audic, S., Robert, C., Jungang, L., de Lamballerie, X., Drancourt, M., et al. (2003). A giant virus in amoebae. Science 299:2033. doi: 10.1126/science.1081867

PubMed Abstract | CrossRef Full Text | Google Scholar

Lemoine, F., Domelevo Entfellner, J.-B., Wilkinson, E., Correia, D., Dávila Felipe, M., De Oliveira, T., et al. (2018). Renewing felsenstein’s phylogenetic bootstrap in the era of big data. Nature 556, 452–456. doi: 10.1038/s41586-018-0043-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Letunic, I., and Bork, P. (2019). Interactive Tree Of Life (iTOL) v4: recent updates and new developments. Nucleic Acids Res. 47, W256–W259. doi: 10.1093/nar/gkz239

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, D., Liu, C.-M., Luo, R., Sadakane, K., and Lam, T.-W. (2015). MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics 31, 1674–1676. doi: 10.1093/bioinformatics/btv033

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, W., and Godzik, A. (2006). Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 22, 1658–1659. doi: 10.1093/bioinformatics/btl158

PubMed Abstract | CrossRef Full Text | Google Scholar

Mihara, T., Nishimura, Y., Shimizu, Y., Nishiyama, H., Yoshikawa, G., Uehara, H., et al. (2016). Linking virus genomes with host taxonomy. Viruses 8:66. doi: 10.3390/v8030066

PubMed Abstract | CrossRef Full Text | Google Scholar

Minh, B. Q., Schmidt, H. A., Chernomor, O., Schrempf, D., Woodhams, M. D., von Haeseler, A., et al. (2020). IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol. Biol. Evol. 37, 1530–1534. doi: 10.1093/molbev/msaa015

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitchell, A. L., Attwood, T. K., Babbitt, P. C., Blum, M., Bork, P., Bridge, A., et al. (2019). InterPro in 2019: improving coverage, classification and access to protein sequence annotations. Nucleic Acids Res. 47, D351–D360. doi: 10.1093/nar/gky1100

PubMed Abstract | CrossRef Full Text | Google Scholar

Moniruzzaman, M., Martinez-Gutierrez, C. A., Weinheimer, A. R., and Aylward, F. O. (2020). Dynamic genome evolution and complex virocell metabolism of globally-distributed giant viruses. Nat. Commun. 11:1710. doi: 10.1038/s41467-020-15507-2

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Leary, N. A., Wright, M. W., Brister, J. R., Ciufo, S., Haddad, D., McVeigh, R., et al. (2016). Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res. 44, D733–D745. doi: 10.1093/nar/gkv1189

PubMed Abstract | CrossRef Full Text | Google Scholar

Odronitz, F., and Kollmar, M. (2007). Drawing the tree of eukaryotic life based on the analysis of 2,269 manually annotated myosins from 328 species. Genome Biol. 8:R196. doi: 10.1186/gb-2007-8-9-r196

PubMed Abstract | CrossRef Full Text | Google Scholar

Pertici, I., Bongini, L., Melli, L., Bianchi, G., Salvi, L., Falorsi, G., et al. (2018). A myosin II nanomachine mimicking the striated muscle. Nat. Commun. 9:3532. doi: 10.1038/s41467-018-06073-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Roberts, K. L., Manicassamy, B., and Lamb, R. A. (2015). Influenza A virus uses intercellular connections to spread to neighboring cells. J. Virol. 89, 1537–1549. doi: 10.1128/JVI.03306-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Rogers, S. L., and Gelfand, V. I. (2000). Membrane trafficking, organelle transport, and the cytoskeleton. Curr. Opin. Cell Biol. 12, 57–62. doi: 10.1016/s0955-0674(99)00057-5

CrossRef Full Text | Google Scholar

Schulz, F., Roux, S., Paez-Espino, D., Jungbluth, S., Walsh, D. A., Denef, V. J., et al. (2020). Giant virus diversity and host interactions through global metagenomics. Nature 578, 432–436. doi: 10.1038/s41586-020-1957-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Stamatakis, A. (2014). RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313. doi: 10.1093/bioinformatics/btu033

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, T.-W., Yang, C.-L., Kao, T.-T., Wang, T.-H., Lai, M.-W., and Ku, C. (2020). Host range and coding potential of eukaryotic giant viruses. Viruses 12:1337. doi: 10.3390/v12111337

PubMed Abstract | CrossRef Full Text | Google Scholar

Sunagawa, S., Acinas, S. G., Bork, P., Bowler, C., Tara Oceans Coordinators, Eveillard, D., et al. (2020). Tara oceans: towards global ocean ecosystems biology. Nat. Rev. Microbiol. 18, 428–445. doi: 10.1038/s41579-020-0364-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Yutin, N., Wolf, Y. I., Raoult, D., and Koonin, E. V. (2009). Eukaryotic large nucleo-cytoplasmic DNA viruses: clusters of orthologous genes and reconstruction of viral genome evolution. Virol. J. 6:223. doi: 10.1186/1743-422X-6-223

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: NCLDV, giant viruses, myosin, phylogeny, viral diversity, Nucleocytoviricota

Citation: Kijima S, Delmont TO, Miyazaki U, Gaia M, Endo H and Ogata H (2021) Discovery of Viral Myosin Genes With Complex Evolutionary History Within Plankton. Front. Microbiol. 12:683294. doi: 10.3389/fmicb.2021.683294

Received: 20 March 2021; Accepted: 12 May 2021;
Published: 07 June 2021.

Edited by:

Jonatas Abrahao, Federal University of Minas Gerais, Brazil

Reviewed by:

Rodrigo Araújo Lima Rodrigues, Federal University of Minas Gerais, Brazil
Philippe Colson, IHU Mediterranee Infection, France

Copyright © 2021 Kijima, Delmont, Miyazaki, Gaia, Endo and Ogata. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hiroyuki Ogata, ogata@kuicr.kyoto-u.ac.jp

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.