Literature DB >> 27338950

Marine phage genomics: the tip of the iceberg.

Blanca Perez Sepulveda1, Tamsin Redgwell1, Branko Rihtman1, Frances Pitt1, David J Scanlan1, Andrew Millard2.   

Abstract

Marine viruses are the most abundant biological entity in the oceans, the majority of which infect bacteria and are known as bacteriophages. Yet, the bulk of bacteriophages form part of the vast uncultured dark matter of the microbial biosphere. In spite of the paucity of cultured marine bacteriophages, it is known that marine bacteriophages have major impacts on microbial population structure and the biogeochemical cycling of key elements. Despite the ecological relevance of marine bacteriophages, there are relatively few isolates with complete genome sequences. This minireview focuses on knowledge gathered from these genomes put in the context of viral metagenomic data and highlights key advances in the field, particularly focusing on genome structure and auxiliary metabolic genes. © FEMS 2016.

Entities:  

Keywords:  bacteriophage; genomics; marine

Mesh:

Year:  2016        PMID: 27338950      PMCID: PMC4928673          DOI: 10.1093/femsle/fnw158

Source DB:  PubMed          Journal:  FEMS Microbiol Lett        ISSN: 0378-1097            Impact factor:   2.742


INTRODUCTION

Marine viruses are found at concentrations up to ∼1 × 108 ml−1, resulting in an estimated ∼4 × 1030 viruses in the oceans (Suttle 2005). They play a key role in the biogeochemical cycling of major elements, for example by diverting the flow of carbon into dissolved and particulate organic matter through the lysis of their bacterial hosts, thus influencing the amount of carbon that is sequestered to the deep ocean by the biological pump (see Suttle 2007 for review). Despite the importance of marine bacteriophages, there are relatively few isolates for which complete genome sequences are available (from a total of 2010 bacteriophage genome sequences 482 belong to marine bacteriophages; Fig. 1); therefore, the majority of bacteriophages form part of the vast uncultured dark matter of the microbial world.
Figure 1.

Number of bacterial, phage and marine phage genomes submitted per year to the International Nucleotide Sequence Database Collaboration (INSDC). Dates were extracted for all sequences within the EBI phage database (http://www.ebi.ac.uk/genomes/phage.html). Data are only shown from 1982 onwards with the inception of publically available databases. Dates are representative of when the sequence was submitted to INSDC rather than when any subsequent papers were published. Prophages are not included unless they have been specifically sequenced independently of their host bacterium. Phages were classified as marine if they were isolated from a marine environment.

Number of bacterial, phage and marine phage genomes submitted per year to the International Nucleotide Sequence Database Collaboration (INSDC). Dates were extracted for all sequences within the EBI phage database (http://www.ebi.ac.uk/genomes/phage.html). Data are only shown from 1982 onwards with the inception of publically available databases. Dates are representative of when the sequence was submitted to INSDC rather than when any subsequent papers were published. Prophages are not included unless they have been specifically sequenced independently of their host bacterium. Phages were classified as marine if they were isolated from a marine environment. It is now over 30 years since the genome of the 5.3-kb ssDNA bacteriophage φX174 was completed (Sanger et al.1977), leading to the sequencing of the first dsDNA genomes of bacteriophages lambda and T7 (Sanger et al.1982; Dunn and Studier 1983). These smaller bacteriophage (hereafter phage) genomes were completed many years before the first bacterial genome was published in 1995 (Fleischmann et al.1995; Fig. 1). The first marine phage genome, PM2, infecting the heterotroph Pseudoalteromonas, was completed over two decades after sequencing of φX174 (Mannisto et al.1999), with the first marine phage infecting a photoautrophic host (Synechococcus) not completed until a few years later (Chen and Lu 2002; Fig. 1). The number of bacterial and phage genomes has increased dramatically in the last 10 years, with 10 times as many phage genomes sequenced post 2004 than in the preceding two decades, in line with the decreasing per-base cost of sequencing (Fig. 1). Notably, the number of phage genomes deposited in 2013 exceeds that of bacterial genomes (Fig. 1). However, there are more assembled bacterial (3316) than phage genomes (2010) within the European Nucleotide Archive (ENA: http://www.ebi.ac.uk/genomes/; Fig. 1). This is because despite the early sequencing efforts in phage research and their smaller genomes relative to bacteria, thousands of bacterial isolates are being sequenced (Eyre et al.2013; Chewapreecha et al.2014; Nasser et al.2014) and the data submitted into whole genome sequencing databases as raw read data (https://www.ebi.ac.uk/genomes/wgs.html), without assembly of the genome. To date there are no studies carried out at the same scale for phages. This is even more pronounced for marine phages; whilst the number of deposited phage genomes increased sharply post 2004, this did not occur for marine phages (Fig. 1). There was a substantial increase in 2013 as a result of the seminal work by Mizuno et al. (2013a,b), which assembled 208 complete marine phage genomes from metagenomic samples and the further submission of 139 Synechococcus phage isolates. However, the submissions in 2013 are an anomaly from the general trend as only 11 marine phage genomes were submitted in 2014. Thus, despite the ability to readily isolate marine phages and technological advances in sequencing, the number of marine phage genomes submitted is similar to that of levels 10 years previously. This observation suggests that the area of marine phage genomics has yet to fully utilise the potential of high-throughput sequencing. The relatively small number and diversity of marine phages can also be deduced by examining the broad genome parameters of the sequences deposited in the ENA. A comparison of molar G + C content (mol%GC) and genome size revealed a limited range of these parameters for marine phages (Fig. 2). Whilst this may be a specific adaptation to the marine environment that selects for a certain mol%GC, it more likely results from the bias of isolation performed on a small number of hosts, not representing the true diversity of marine phages (Table S1, Supporting Information). In this regard, it is clearly noticeable that there are very few marine phage genomes which have a high mol%GC content (Fig. 2). However, the presence of marine bacteria with high mol%GC is well documented (Subramani and Aalbersberg 2012), highlighting even in the broad terms of genome size and mol%GC that there are large numbers of phages for which there are no sequenced representatives.
Figure 2.

Scatter plot of genome size versus mol %G + C of marine phages and non-marine phages. Box and whisper plots for the range in genome size and range in mol %G + C are also plotted adjacent to the Y- and X-axis, respectively.

Scatter plot of genome size versus mol %G + C of marine phages and non-marine phages. Box and whisper plots for the range in genome size and range in mol %G + C are also plotted adjacent to the Y- and X-axis, respectively. With an estimated 5476 pelagic viral populations in the world's oceans (Brum et al. 2015), only very few have cultured isolates and even less have representative genomes. Currently, there are 482 complete marine phage genomes within the ENA (May 2015), for 208 of which the host has not been cultured since they were assembled from metagenomic samples, and the remainder isolated from merely 22 genera of bacteria (Table S1, Supporting Information). With an estimated 2 × 106 bacterial taxa present in the ocean (Curtis, Sloan and Scannell 2002), having representative phages isolated on just 22 bacterial genera highlights how much is still to be discovered. Despite sequencing only encompassing the tip of the phage iceberg, insights from these genomes have radically changed our understanding of genome evolution, phage-host interactions and phage ecology. This review will focus on what has been learnt from the genomes of cultured marine phage isolates, with a brief summary of the culture-independent methods of phage genome sequencing.

CULTURE-DEPENDENT VERSUS CULTURE-INDEPENDENT GENOME SEQUENCING

Historically, phage genome sequencing has relied on the traditional culturing of a bacterial host; thus, the isolation and purification of phage is limited by the very need to culture the host bacterium. Furthermore, the construction of shotgun clone libraries from phage DNA presented technical difficulties, including the presence of modified nucleotides and possession of toxic genes in phage genomes (Breitbart et al.2002). Whilst host isolation remains a bottleneck, the advent of high-throughput sequencing methods has alleviated the problems associated with clone libraries. The relatively small size of phage genomes (phage median genome size 44.8 kb; bacterial median genome size 3.04 Mb) makes them ideal candidates for sequencing, with complete genome assembly possible for the majority (Rihtman et al.2016). The use of bench top sequencers offers the potential to sequence ∼200 phage genomes in a single run, with minimal method optimisation. Whilst isolation will continue to be an issue, there are numerous reports of the isolation of novel phages (Wichels et al.1998; Alonso, Rodríguez and Borrego 2002), but there is no genome information for these phages. Even for well-developed systems where the host bacteria can be cultured, there has been minimal utilisation of current sequencing technologies to sequence large numbers of phages. This suggests that current technologies are not being fully used to study the genomes of cultured marine phages. To alleviate the issues of traditional culture-based methods, a number of metagenomic-based approaches have been used to study marine phage genomics. Marine phage genomics has been at the forefront of metagenomics since the pioneering work of Breitbart et al. (2002). Since then, there have been numerous shotgun metagenomic studies that have sequenced small fragments to explore viral diversity (e.g. see Angly et al.2006; Dinsdale et al.2008; Sharon et al.2011; McDaniel et al.2014) or constructed large fosmid libraries allowing the reconstruction of near-complete marine phage genomes (Mizuno et al.2013a,b). Whilst metagenomics has vastly increased our understanding of marine phage diversity, the initial drawback was that it prevented the unambiguous assignment of phage to their respective hosts. The advent of single-cell amplified genomes (Rodrigue et al.2009) has gone some way to resolve the issue of who infects whom, with phages identified within bacterial single-cell amplified genomes. For example, the recent analysis of SUP05 bacterial single-cell amplified genomes identified co-infection with both dsDNA and ssDNA phages, including contigs representing new genera within the Caudovirales and Gokushoviriniae families (Roux et al.2014). Furthermore, the latest combination of viral tagging (Deng et al.2012) with metagenomics is now able to link the genomes of environmental phage isolates and provide host information (Deng et al.2014). Recent advances in marine viral metagenomics are thoroughly reviewed elsewhere (Brum and Sullivan 2015). Despite all the pros of metagenomics, the lack of phage isolates still limits further experimental work critical for understanding the dynamics of phage–host interactions.

SHEDDING LIGHT ON PHAGE DARK MATTER

Whilst the use of metagenomics has started to reveal the vast diversity of phage genomes, a common feature of these metagenomic datasets is that very few sequences can be assigned to known phage isolates, e.g. 87%–93% of the Pacific Ocean virome could not be associated to any viral taxa (Hurwitz and Sullivan 2013). Hence, sequencing of phage isolates can make substantial contributions to the analysis of these large metagenomic datasets. This is demonstrated by the sequencing of four phages infecting the ubiquitous SAR11 clade, the most abundant marine bacterial lineage, accounting for between 22% and 55% of prokaryotic cells (Morris et al.2002). The small cell size and slow growth of these bacteria, attributes that could potentially impede viral replication, initially led to the idea that these organisms were resistant to viral infection (Yooseph et al.2010). However, the recent isolation of four SAR11-infecting phages (pelagiphages) enabled determination of their abundance and distribution in metagenomic samples, with HTVC010P-like pelagiphages 2.5× more abundant than all T4likeviruses combined (Zhao et al.2013). Shortly after the characterisation of the ubiquitous pelagiphage, phage HMO-2011 was isolated and described (Kang et al.2013). This phage infects Candidatus Puniceispirillum marinum strain IMCC1322, a representative of the SAR116 clade which contributes up to 10% of the bacterial assemblage in euphotic zone waters (Kang et al.2013). HMO-2011 usurped HTVC010P as the most abundant phage in marine viral metagenomic libraries, with up to 25% of taxonomically identifiable reads assigned to HMO-2011 (Kang et al.2013), once again demonstrating the power of studying individual phage isolates to understand the global distribution of marine phages. Even for the most well studied of marine phage-host systems, sequencing of additional phage isolates can have a significant impact on identifying the viral dark matter, as exemplified by cyanophage S-TIM5 (Sabehi et al.2012). S-TIM5 lacks the structural module that is conserved between cyanophages and T4likeviruses, containing instead a novel set of structural and replication genes (Sabehi et al.2012). These include a mitochondrial-like DNA polymerase that is also found in a phage infecting Acaryochloris (Chan et al.2015), providing further support for the idea of a phage origin for mitochondrial DNA polymerase (Chan et al.2011, 2015; Sabehi et al.2012). Comparison of the S-TIM5 genome against metagenomic datasets demonstrated the widespread distribution of this previously unknown phage type within the environment (Sabehi et al.2012). The vast viral metagenomic datasets that are available (Hurwitz and Sullivan 2013; Brum et al.2015) provide a powerful resource for determining the distribution of phage groups. However, far more individual phage isolates need to be sequenced so that the majority of metagenomic reads can be assigned to a phage taxa, rather than the minority.

GENOME STRUCTURE AND EVOLUTION

The sequencing of phage isolates has revealed common traits to phage genomes, including a modular genome structure, homology with phage infecting enteric bacteria and localisation of accessory genes within a specific region of the genome. The most common is a modular genome structure that is found in cyanophages, roseophages (phage infecting the roseobacter lineage) and pelagiphages infecting SAR11 and SAR116 (Millard et al.2009; Sullivan et al.2010; Kang et al.2013; Zhao et al.2013; Chan et al.2014). Another trait common to some groups of marine phages is a shared gene pool with phages infecting enteric pathogens (Fig. 3). This was first observed in the marine cyanophage S-PM2, a T4likevirus that infects Synechococcus, where a shared gene module that encodes for phage structural proteins was found in both S-PM2 and phage T4 infecting Escherichia coli (Hambly et al.2001) (Fig. 3).
Figure 3.

Genomic comparison of selected phages. (A) Cyanophage S-PM2, P-SSM5 and Syn9 compared to phage T4. Orange genes are those found in phage T4. Blue shading is a hypervariable region localised between gp16 and gp17 in Syn9 (Millard et al.2009). The structural gene module that is common to all T4likeviruses is highlighted in green (Hambly et al.2001). (B) T7likevirus comparison of cyanophages Syn5 and P-SSP7, Pseudoalteromonas phage RIO-1 with phage T7. T7 genes found in other phages are teal coloured. The genomic islands identified in P-SSP7 are highlighted in yellow (Labrie et al.2013). (C) N4likevirus comparison of roseophage DSS3P2, Pseudoalteromonas phage pYD6-A and Alteromonas phage vB_AmaP_AD45-P1 with phage N4. Roseophage N4-like phages are represented by DSS3P2, which has genes that have been acquired by roseophages and localised at the same position (highlighted in red) (Chan et al.2014).

Genomic comparison of selected phages. (A) Cyanophage S-PM2, P-SSM5 and Syn9 compared to phage T4. Orange genes are those found in phage T4. Blue shading is a hypervariable region localised between gp16 and gp17 in Syn9 (Millard et al.2009). The structural gene module that is common to all T4likeviruses is highlighted in green (Hambly et al.2001). (B) T7likevirus comparison of cyanophages Syn5 and P-SSP7, Pseudoalteromonas phage RIO-1 with phage T7. T7 genes found in other phages are teal coloured. The genomic islands identified in P-SSP7 are highlighted in yellow (Labrie et al.2013). (C) N4likevirus comparison of roseophage DSS3P2, Pseudoalteromonas phage pYD6-A and Alteromonas phage vB_AmaP_AD45-P1 with phage N4. Roseophage N4-like phages are represented by DSS3P2, which has genes that have been acquired by roseophages and localised at the same position (highlighted in red) (Chan et al.2014). Cyanophages have since become the most comprehensively studied group of marine phages, with those infecting cells of the genera Synechococcus and Prochlorococcus being predominantly studied (Hambly et al.2001; Chen and Lu 2002; Clokie et al.2003; Lindell et al.2004; Mann et al.2005; Sullivan et al.2005, 2006, 2010; Weigele et al.2007; Chenard and Suttle 2008; Millard et al.2010; Chan et al.2011; Labrie et al.2013). Currently, there are 193 genome sequences deposited in the ENA (Table S1, Supporting Information), the majority of which are part of the T4likevirus genus (Table S1, Supporting Information), sharing both morphological and genetic similarity (Hambly et al.2001; Weigele et al.2007; Millard et al.2009; Sullivan et al.2010), as well as an established set of core genes (Sullivan et al.2010; Ignacio-Espinoza and Sullivan 2012). Recently, an increased number of cyanophages of the podoviridae family has also been sequenced, revealing a conserved core of 12 genes and a close relationship to coliphage T7 (Labrie et al.2013). Whilst the genomes of podoviruses and myoviruses infecting cyanobacteria share very few genes, there are parallels with respect to the localisation of auxiliary metabolic genes (AMGs) in their genomes. Within the myoviridae, AMGs are found to be localised in hypervariable regions (Millard et al.2004) (Fig. 3). A similar pattern of AMG insertions within genomic islands was observed in cyanophages of the podoviridae family (Labrie et al.2013). An analogous system was also found for roseophages of the N4likevirus genus, whereby AMGs were found to be localised within specific regions (Chan et al.2014). Whilst AMGs are acquired by horizontal gene transfer, the mechanism that localises these genes to specific regions remains unknown. In common with cyanophages, roseophages of the N4likevirus genus share a common gene pool with phages infecting enteric pathogens (Chan et al.2014). A comparison of 25 N4likevirus phages revealed 14 genes present in all roseophages and another nine genes present only in marine isolates, the latter likely including genes specifically required for infecting a marine host (Chan et al.2014). Not all marine phages share genes with their non-marine counterparts. Unlike the phages discussed so far, phages infecting bacteria of the genus Cellulophaga share very few genes with any other phages (Holmfeldt et al.2013). The diversity of these 31 phages infecting Cellulophaga baltica (Table S1, Supporting Information) is far higher than observed for other marine phages and is comparable to the diversity observed in non-marine systems (Holmfeldt et al.2013). This single study exemplifies the benefit of sequencing cultured phage isolates to expand our understanding of phage genomes, given it identified 12 new genera and one new family from just 31 phage isolates (Holmfeldt et al.2013). The data garnered from the genomes of these Cellulophaga phages have subsequently been combined with experimental data, with a single nucleotide polymorphism in a gene encoding a putative tail spike protein linked to altered host range (Holmfeldt et al.2014).

THE ‘SPECIES’ CONCEPT?

Sequencing the genome of phage isolates is also beginning to provide evidence for phage ‘species’. The idea of a phage ‘species’ concept derives from one of the first marine phages to be sequenced, SIO1, that infects Roseobacter SIO16, one of the limited number of marine phages to have been re-sequenced and re-annotated (Angly et al.2009). In a study conducted some 12 years after the original isolation of SIO1, a further four phages infecting Roseobacter SIO16 were isolated. In comparison to SIO1, these genomes were found to have 96%–98.4% average nucleotide identity (ANI), thus demonstrating that SIO1-like phages are stably maintained in the environment over ∼500 generations without any significant genomic re-arrangements (Angly et al.2009). Whether a ‘species’ concept is valid for other phage-host systems remains to be determined. In cyanophages, no two completely sequenced genomes have similar ANI levels across their entire length, as observed for the SIO1-like phages (Millard et al.2009; Sullivan et al.2010). Yet, the sequencing of eight genes from 65 cyanophages isolated over a 10-year period confirmed the presence of phage ‘strains’ that are maintained within the environment (Marston and Amrich 2009). Furthermore, the use of viral tagging combined with metagenomics suggests that discrete populations of cyanophages are stable in the environment (Deng et al.2014).

PHAGE AMGs

A common property of marine phage genomes is their propensity for carrying AMGs, which are thought to augment the metabolic potential of the host during the infection process (Breitbart et al.2007). This was first observed in roseophage SIO1, the first marine phage found to maintain a number of genes that were orthologues of host genes, including genes encoding a ribonucleotide reductase, a PhoH-like protein, thioredoxin and endodeoxyribonuclease I (Rohwer et al.2000). As more marine phage genomes have been sequenced, it has become apparent that AMGs are a common feature. The most well-studied AMG is the psbA gene, encoding the D1 protein of Photosystem II (PSII), which was first reported in cyanophage S-PM2 (Mann et al.2003). It was subsequently found in the Prochlorococcus-infecting phages P-SSM4 and P-SSM2 (Sullivan et al.2005) and is now known to be widespread in cyanophage isolates (Lindell et al.2004; Millard et al.2004, 2009; Sullivan et al.2005, 2006, 2010) and in the environment (Lindell et al.2004; Sharon et al.2007; Chenard and Suttle 2008; Zheng et al.2013). The genome of S-PM2 also revealed the presence of psbD, encoding the D2 protein of PSII (Mann et al.2003). By expression of psbA and psbD, cyanophages are thought to maintain the D1/D2 repair cycle, which are susceptible to photodamage if not replaced, and thus sustain photosynthetic function of their host during infection (Mann et al.2003). This is supported by the detection of both phage-derived psbA transcripts (Lindell et al.2005; Clokie et al.2006; Millard et al.2010) and D1 peptides from infected cells in laboratory studies (Lindell et al.2005). Moreover, in the environment psbA is a core gene in photic viromes and phage-derived transcripts are readily detected (Sharon et al.2007; Hurwitz, Brum and Sullivan 2014). Thus, the expression of phage-encoded genes was thought to directly contribute to CO2 fixation. However, there is evidence that the opposite occurs and CO2 is halted during early phage infection, whilst maintaining host photosynthetic electron transfer (Puxty et al.2016). psbA and psbD are not the only AMGs that can be broadly classified as influencing the photosynthetic function of their cyanobacterial hosts. A number of cyanophage genomes carry genes encoding proteins that may inhibit the Calvin cycle, encode a variety of electron transport components or are involved in pigment biosynthesis and central carbon metabolism (Millard et al.2004, 2009; Sullivan et al.2005, 2010; Weigele et al.2007; Sabehi et al.2012; Dekel-Bird et al.2013; Frank et al.2013). In addition, metagenomics has revealed a cassette of genes encoding a putative functional Photosystem I (PSI) (Sharon et al.2009), with some phages possessing genes encoding both photosystems (Alperovitch-Lavy et al.2011). However, no cultured phage isolates have, as yet, been found to contain a complete PSI and PSII cassette. The roles of many of these photosynthesis-related AMGs have been comprehensively reviewed elsewhere (see Puxty et al.2015). Whilst there is limited functional data for most of these photosynthesis-related genes, it is thought that these AMGs generally provide the same function as their cyanobacterial orthologues, as is the case with the photosynthesis-related genes ho1, petF and pcyA (Dammeyer et al.2008). In the case of the phage-encoded PebS additional function is provided, as PebS catalyses a reaction that normally requires two host proteins (PebA and PebB) (Dammeyer et al.2008). The carriage of pcyA and pebS is thought to provide a fitness advantage to the phage, through an as yet undescribed mechanism, since these genes were found in phage-infecting Prochlorococcus which do not possess phycobilisome complexes. The puzzling role of genes related to phycobilin biosynthesis in phages is further confounded by the recent discovery and biochemical characterisation of a PcyA homologue within a phage that likely infects an alphaproteobacteria, thus suggesting a role for phycobilins outside cyanobacteria (Ledermann, Beja and Frankenberg-Dinkel 2016). Beyond photosynthesis and carbon metabolism, AMGs that may alter other biogeochemical cycles have also been discovered. Three genes with a possible role in P metabolism have been identified so far: phoH, which is widespread in marine phages (Goldsmith et al.2011) and a core-gene in T4-like phages (Ignacio-Espinoza and Sullivan 2012), is known to be part of the phosphate regulon in Escherichia coli (Kim et al. 1993), but its function in phages is unclear (Goldsmith et al.2011). Other genes related to P metabolism within cyanophages have also been identified: pstS encoding a potential periplasmic phosphate binding protein and phoA encoding a putative alkaline phosphatase (Sullivan et al.2010). Intriguingly, only pstS is overexpressed during infection of a P-deplete host (Lin, Ding and Zeng 2016). Recent research suggests that phages may also influence the sulphur cycle. The SAR116 infecting phage HMO-2011 contains a gene encoding a putative hydroxylase α-subunit of methanesulfonate monooxygenase (MsmA) (Kang et al.2013). Methanesulfonic acid (MSA) is an important intermediate in the sulphur cycle (Kelly and Murrell 1999). As MSA can be oxidised to sulphite and formaldehyde (Kelly and Murrell 1999) and SAR116 contains the required genes to uptake and oxidise MSA and further metabolise formaldehyde (Kang et al.2013), the phage-encoded MsmA is speculated to play a role in the initial oxidation of MSA. Genes encoding the α and γ-subunits of the reverse dissimilatory sulphite reductase (rdsR) are found to be widespread in phages infecting SUP05, and are thought to provide roles in the oxidation of sulphur to sulphite, thus providing phage with an energy source for the infection process (Anantharaman et al.2014). Whilst the evidence for phage encoded genes influencing global biogeochemical cycles is increasing, there are fewer insights into the role of phage AMGs altering the virulence of their hosts. The best example is the filamentous phage CTX, which carries the toxin encoding genes responsible for the full virulence of Vibrio cholerae (Waldor and Mekalanos 1996). Whilst V. cholerae is found in freshwater and brackish environments, it is also globally distributed in the marine environment (Escobar et al.2015). In addition, other vibriophages have been isolated that can alter the virulence of their host. Three phages infecting V. harveyi have been sequenced to date—two siphoviruses (VHS1 & SIO-2) (Khemayan et al.2012) and a myovirus (VHML) (Oakey, Cullen and Owens 2002). Despite having very different genome content, both VHML and VHS1 are thought to have the potential to enhance the virulence of their host by the carriage of toxin (Khemayan et al.2012) or toxin-associated genes (Oakey, Cullen and Owens 2002). Viral metagenomic surveys are currently identifying an increasing diversity of AMGs. The challenge then is to link these AMGs with specific phage genomes and derive phage-host systems. This will enable experimental functional analysis of these genes that likely play key roles altering host metabolism/virulence during infection and with potentially important knock-on effects for the functioning of global biogeochemical cycles.

CONCLUSIONS

In the last decade, whilst there have been rapid advances in sequencing technologies, these advances have not been fully exploited in the field of marine phage genomics, with both the total number and diversity of phage genomes lagging in comparison to their bacterial hosts. To fully interpret viral metagenomes and more completely understand the role of phage in the marine environment, a greater emphasis needs to be placed on isolating phage to a range of marine bacterial genera and sequencing their genomes, ultimately providing new model systems for experimental testing of phage–host interactions. The latter is readily achievable and affordable with current sequencing platforms. Even with the relatively small number of marine phage genomes completed, rapid progress has been made; hence, the future can only surely bring further fascinating insights into the role phages play in marine systems. Click here for additional data file.
  78 in total

1.  Genomic sequence and evolution of marine cyanophage P60: a new insight on lytic and lysogenic phages.

Authors:  Feng Chen; Jingrang Lu
Journal:  Appl Environ Microbiol       Date:  2002-05       Impact factor: 4.792

2.  Viral photosynthetic reaction center genes and transcripts in the marine environment.

Authors:  Itai Sharon; Shani Tzahor; Shannon Williamson; Michael Shmoish; Dikla Man-Aharonovich; Douglas B Rusch; Shibu Yooseph; Gil Zeidner; Susan S Golden; Shannon R Mackey; Noam Adir; Uri Weingart; David Horn; J Craig Venter; Yael Mandel-Gutfreund; Oded Béjà
Journal:  ISME J       Date:  2007-08-09       Impact factor: 10.302

3.  Functional metagenomic profiling of nine biomes.

Authors:  Elizabeth A Dinsdale; Robert A Edwards; Dana Hall; Florent Angly; Mya Breitbart; Jennifer M Brulc; Mike Furlan; Christelle Desnues; Matthew Haynes; Linlin Li; Lauren McDaniel; Mary Ann Moran; Karen E Nelson; Christina Nilsson; Robert Olson; John Paul; Beltran Rodriguez Brito; Yijun Ruan; Brandon K Swan; Rick Stevens; David L Valentine; Rebecca Vega Thurber; Linda Wegley; Bryan A White; Forest Rohwer
Journal:  Nature       Date:  2008-03-12       Impact factor: 49.962

Review 4.  Marine viruses--major players in the global ecosystem.

Authors:  Curtis A Suttle
Journal:  Nat Rev Microbiol       Date:  2007-10       Impact factor: 60.633

5.  Comparative metagenomics: natural populations of induced prophages demonstrate highly unique, lower diversity viral sequences.

Authors:  Lauren D McDaniel; Karyna Rosario; Mya Breitbart; John H Paul
Journal:  Environ Microbiol       Date:  2013-07-23       Impact factor: 5.491

6.  Comparative metagenomics of microbial traits within oceanic viral communities.

Authors:  Itai Sharon; Natalia Battchikova; Eva-Mari Aro; Carmela Giglione; Thierry Meinnel; Fabian Glaser; Ron Y Pinter; Mya Breitbart; Forest Rohwer; Oded Béjà
Journal:  ISME J       Date:  2011-02-10       Impact factor: 10.302

7.  Genomes of marine cyanopodoviruses reveal multiple origins of diversity.

Authors:  S J Labrie; K Frois-Moniz; M S Osburne; L Kelly; S E Roggensack; M B Sullivan; G Gearin; Q Zeng; M Fitzgerald; M R Henn; S W Chisholm
Journal:  Environ Microbiol       Date:  2013-01-16       Impact factor: 5.491

8.  A conserved genetic module that encodes the major virion components in both the coliphage T4 and the marine cyanophage S-PM2.

Authors:  E Hambly; F Tétart; C Desplats; W H Wilson; H M Krisch; N H Mann
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

9.  An antisense RNA in a lytic cyanophage links psbA to a gene encoding a homing endonuclease.

Authors:  Andrew D Millard; Gregor Gierga; Martha R J Clokie; David J Evans; Wolfgang R Hess; David J Scanlan
Journal:  ISME J       Date:  2010-04-22       Impact factor: 10.302

10.  Comparative genomics of marine cyanomyoviruses reveals the widespread occurrence of Synechococcus host genes localized to a hyperplastic region: implications for mechanisms of cyanophage evolution.

Authors:  Andrew D Millard; Katrin Zwirglmaier; Mike J Downey; Nicholas H Mann; Dave J Scanlan
Journal:  Environ Microbiol       Date:  2009-06-07       Impact factor: 5.491

View more
  19 in total

1.  Namib Desert Soil Microbial Community Diversity, Assembly, and Function Along a Natural Xeric Gradient.

Authors:  Vincent Scola; Jean-Baptiste Ramond; Aline Frossard; Olivier Zablocki; Evelien M Adriaenssens; Riegardt M Johnson; Mary Seely; Don A Cowan
Journal:  Microb Ecol       Date:  2017-06-24       Impact factor: 4.552

2.  Multiple mechanisms drive phage infection efficiency in nearly identical hosts.

Authors:  Cristina Howard-Varona; Katherine R Hargreaves; Natalie E Solonenko; Lye Meng Markillie; Richard Allen White; Heather M Brewer; Charles Ansong; Galya Orr; Joshua N Adkins; Matthew B Sullivan
Journal:  ISME J       Date:  2018-03-22       Impact factor: 10.302

3.  Comparative genomic analysis of dwarf Vibrio myoviruses defines a conserved gene cluster for successful phage infection.

Authors:  Dimitrios Skliros; Efthymios Karpouzis; Chrysanthi Kalloniati; Pantelis Katharios; Emmanouil Flemetakis
Journal:  Arch Virol       Date:  2022-01-08       Impact factor: 2.574

4.  INfrastructure for a PHAge REference Database: Identification of Large-Scale Biases in the Current Collection of Cultured Phage Genomes.

Authors:  Ryan Cook; Nathan Brown; Tamsin Redgwell; Branko Rihtman; Megan Barnes; Martha Clokie; Dov J Stekel; Jon Hobman; Michael A Jones; Andrew Millard
Journal:  Phage (New Rochelle)       Date:  2021-12-16

5.  Characterization and Genome Analysis of a Novel Mu-like Phage VW-6B Isolated from the Napahai Plateau Wetland of China.

Authors:  Zihong Cui; Zhiwei Xu; Yunlin Wei; Qi Zhang; Kunhao Qin; Xiuling Ji
Journal:  Curr Microbiol       Date:  2020-11-04       Impact factor: 2.188

6.  Bacteriophage evolution differs by host, lifestyle and genome.

Authors:  Travis N Mavrich; Graham F Hatfull
Journal:  Nat Microbiol       Date:  2017-07-10       Impact factor: 17.745

7.  Potential virus-mediated nitrogen cycling in oxygen-depleted oceanic waters.

Authors:  M Consuelo Gazitúa; Dean R Vik; Simon Roux; Ann C Gregory; Benjamin Bolduc; Brittany Widner; Margaret R Mulholland; Steven J Hallam; Osvaldo Ulloa; Matthew B Sullivan
Journal:  ISME J       Date:  2020-11-16       Impact factor: 10.302

8.  Bacteriophage classification for assembled contigs using graph convolutional network.

Authors:  Jiayu Shang; Jingzhe Jiang; Yanni Sun
Journal:  Bioinformatics       Date:  2021-07-12       Impact factor: 6.937

9.  Comparative Genomics of Bacteriophage of the Genus Seuratvirus.

Authors:  Pavelas Sazinas; Tamsin Redgwell; Branko Rihtman; Aurelija Grigonyte; Slawomir Michniewski; David J Scanlan; Jon Hobman; Andrew Millard
Journal:  Genome Biol Evol       Date:  2018-01-01       Impact factor: 3.416

10.  Alteromonas Myovirus V22 Represents a New Genus of Marine Bacteriophages Requiring a Tail Fiber Chaperone for Host Recognition.

Authors:  Rafael Gonzalez-Serrano; Matthew Dunne; Riccardo Rosselli; Ana-Belen Martin-Cuadrado; Virginie Grosboillot; Léa V Zinsli; Juan J Roda-Garcia; Martin J Loessner; Francisco Rodriguez-Valera
Journal:  mSystems       Date:  2020-06-09       Impact factor: 6.496

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.