Elsevier

Virus Research

Volume 289, November 2020, 198155
Virus Research

Genomic analysis of Synechococcus phage S-B43 and its adaption to the coastal environment

https://doi.org/10.1016/j.virusres.2020.198155Get rights and content

Highlights

  • AMGs carried by cyanophages isolated in different environments are not the same.

  • Carrying of AMG in cyanophage is related to host and environment.

  • The AMGs carried by the cyanophages help them and their host adapt to the environment.

Abstract

Synechococcus dominate picocyanobacterial communities in coastal environments. However, only a few Synechococcus phages have been described from the coastal seas of the Northwest Pacific Ocean. Here a new Synechococcus phage, S-B43 was isolated from the Bohai Sea, a semi-closed coastal sea of the Northwest Pacific Ocean. S-B43 is a member of Myoviridae, containing 275 predicted open reading frames. Fourteen auxiliary metabolic genes (AMG) were identified from the genome of S-B43, including five photosynthetic associated genes and several AMGs related to its adaption to the high turbidity and eutrophic coastal environment with a low ratio of phosphorus to nitrogen (HNLP). The occurrences of 31 AMGs among 34 cyanophage genomes indicates that AMGs zwf, gnd, speD, petF and those coding for FECH and thioredoxin were more common in coastal areas than in the open ocean and AMGs pebS and ho1 were more prevalent in the open ocean. The occurrence of cyanophage AMGs in different environments might be a reflection of the environmental adaption of their hosts. This study contributes to our understanding of the interactions between cyanobacteria and cyanophages and their environmental adaption to the coastal environment.

Introduction

Picocyanobacteria of the Synechococcus and Prochlorococcus genera are the most abundant oxygenic phototrophs and contribute more than half of the primary production in oligotrophic oceans (Field et al., 1998; Mann et al., 2005; Sullivan et al., 2005; Flombaum et al., 2013). Synechococcus are distributed in the global oceans from pole to pole while Prochlorococcus are restricted to the tropical and subtropical oceans (Partensky et al., 1999; Zeidner et al., 2005;, Huang et al., 2015). Cyanophages, viruses that infect cyanobacteria, are widespread and abundant in coastal seas and the euphotic zone of the open ocean (Suttle, 2000).

To date, all cyanophages isolated belong to three families of the Caudovirales order– dsDNA viruses with tails: Myoviridae (contractile tails), Podoviridae (short tails) and Siphoviridae (long non-contractile tails) (Suttle, 2000; Chen and Lu, 2002; Sullivan et al., 2003; Enav et al., 2018). The length of these genomes is generally 40−230 kb and they usually contain many unknown gene components (Finke and Suttle, 2019). Cyanophages can influence the abundance and community structure of cyanobacteria through lytic or lysogenic infection (Thingstad, 2000; Sullivan et al., 2005; Zeidner et al., 2005). Further, cyanophages can also impact host evolution, horizontal gene transfer and their antagonistic coevolution with cyanobacteria (Buckling and Rainey, 2002).

Cyanophages commonly contain auxiliary metabolic genes (AMGs), which can influence the metabolism of their hosts through the expression of AMGs during infection (Lindell et al., 2004; Sullivan et al., 2005; Breitbart et al., 2007; Labrie et al., 2013). These AMGs are associated with a variety of functions including photosynthesis (Mann et al., 2003; Sharon et al., 2011; Philosof et al., 2011), carbon metabolism (Thompson et al., 2011), nucleic acid synthesis and metabolism (Dwivedi et al., 2013; Enav et al., 2014), and stress tolerance (Lindell et al., 2005; Kelly et al., 2013; Enav et al., 2014). AMGs related to photosynthesis, such as psbA (photosystem II D1 protein,), psbD (photosystem II D2 protein), and hli (highlight-inducible protein) are expressed during phage infection (Lindell et al., 2005; Clokie and Mann, 2006; Sieradzki et al., 2019) and thus may make more energy available for phage reproduction (Lindell et al., 2005; Clokie and Mann, 2006; Hellweger, 2009; Millard et al., 2009). An analysis of metagenomic samples has shown that AMGs are abundant, diverse, and widespread in the oceans (Williamson et al., 2008). Recent studies on cyanophage isolates suggest that the gain and loss of AMGs represents an adaptation to selection pressures (Crummett et al., 2016), such as phosphate stress (Kelly et al., 2013). However, our knowledge of the relationship between cyanophage AMGs and environment preference is limited, especially in the eutrophic coastal seas of the Northwest Pacific Ocean.

Here, we report a new cyanophage isolated from the Bohai Sea, a semi-closed and eutrophic coastal sea of the Northwest Pacific Ocean. The environment of this sea is characterized by high turbidity and eutrophication. However, because of the low phosphorus - nitrogen ratio (high N low P, HNLP), there is a potential for phosphorous limiting eutrophication. (Liu et al., 2013; Zhang et al., 2019). The biological characteristics, whole genome of Synechococcus phage S-B43 and the occurrence of AMGs in the genomes of 34 cyanophages were analyzed. The genome of Synechococcus phage S-B43 contained AMGs and functional genes that could contribute to its adaption to the environment.

Section snippets

Sampling

Briefly, 100 L of surface seawater was collected from the B43 station (119°26.558′E, 38°19.238′N) in the Bohai Sea. After collection, the sampled water was first filtered through a 3-μm pore size membrane filter, then through a 0.22-μm filter to remove microorganisms. A tangential flow filtration unit (TFF) with a 50-kDa cartridge (Pellicon® XL Cassette, Biomax® 50 kDa; polyethersulfone, Millipore Corporation, Billerica, MA, USA) was used to concentrate the water to a final volume of ca. 50 mL,

Morphology and physiology of Synechococcus phage S-B43

Transmission electron microscopy examination of Synechococcus phage S-B43 showed that it could be classified into the Myoviridae family with a non-enveloped prolate capsid (∼ 57.47 nm long and ∼ 40.40 nm in diameter), and a long contractile tail (∼ 83.27 nm long) (Fig. 1a).

A one-step growth curve showed that the latent period of Synechococcus phage S-B43 was about 40 h and the first maximal release time was about at the 50th hour after the inoculation (Fig. 1b).

The result of the host range

Discussion

The isolation and genome analysis of cyanophages are important for the study of the interactions between cyanophages and their host cells. Here we report the genome of a new Synechococcus phage S-B43, isolated from the Bohai Sea. The genome of Synechococcus phage S-B43 contained five photosynthetic system genes and 14 AMGs. The comparative analysis of the AMGs of the 34 cyanophage genomes from different environments showed that the distribution of 31 AMGs in 34 cyanophage genomes was associated

Conclusions

Here we isolated a new Synechococcus phage S-B43 classified into the Myoviridae family from the Bohai Sea. The physiological characteristics and the whole Synechococcus phage S-B43 genome is described. 14 AMGs were detected with the potential functions of photosynthesis, carbon metabolism, phosphorus metabolism and other important metabolic processes. Although the origin of these AMGs is unclear, they might play an important role in promoting the host’s metabolism, regulating ecosystem

Funding

This work was supported by the National Key Research and Development Program of China (No. 2018YFC1406704), Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao) (No.2018SDKJ0406-6), National Natural Science Foundation of China (No. 41976117,41606153,41906126,41806131), Fundamental Research Funds for the Central Universities (No. 201812002,201912003).

CRediT authorship contribution statement

Meiwen Wang: Data curation, Formal analysis, Investigation, Writing - original draft, Writing - review & editing. Chen Gao: Data curation. Tong Jiang: Formal analysis, Investigation. Siyuan You: Investigation. Yong Jiang: Writing - review & editing. Cui Guo: Funding acquisition, Writing - review & editing. Hui He: Funding acquisition, Writing - review & editing. Yundan Liu: Investigation. Xinran Zhang: Investigation. Hongbing Shao: Conceptualization, Project administration, Writing - original

Declaration of Competing Interest

The authors declare no conflict of interest.

Acknowledgments

We are grateful for Center for High Performance Computing and System Simulation, Pilot National Laboratory for Marine Science and Technology (Qingdao).

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