Lysogenized phages of methanotrophic bacteria show a broad and untapped genetic diversity

Methanotrophs are a unique class of bacteria with the ability to metabolize single-carbon compounds such as methane. They play an important role in the global methane cycle and have great potential as industrial platforms for the bioconversion of methane from industrial waste streams into valuable products, such as biofuels and bioplastics. However, many aspects of methanotroph biology have yet to be elucidated, including the prevalence and impact of lysogenized bacteriophages (phages), which can greatly affect both the ecology and the industrial performance of these bacteria. The present study investigates the presence of putative prophages in three gammaproteobacterial (Methylobacter marinus A45, Methylomicrobium album BG8, Methylomonas denitrificans FJG1) and two alphaproteobacterial (Methylosinus trichosporium OB3b, Methylocystis sp. Rockwell) methanotrophs using four programs predicting putative phage sequences (PhageBoost, PHASTER, Phigaro, and Island Viewer). Mitomycin C was used to trigger induction of prophages, which was monitored through infection dynamics. Successfully induced phages from M. marinus A45 (MirA1, MirA2), M. album BG8 (MirB1), and M. trichosporium OB3b (MirO1) were isolated and characterized using transmission electron microscopy. Subsequently, bioinformatic analyses (BLAST and phylogenetics) were performed on three induced phages to obtain a profile of their respective genetic makeup. Their broad diversity and differences from previously known phages, based on whole genome and structural gene sequences, suggest they each represent a new phage family, genus and species: “Britesideviridae Inducovirus miraone”, “Patronusviridae Enigmavirus miratwo”, and “Kainiviridae Tripudiumvirus miroone” represented by isolates MirA1, MirA2, and MirO1, respectively.

[1]  M. Firestone,et al.  Methane-derived carbon flows into host–virus networks at different trophic levels in soil , 2021, Proceedings of the National Academy of Sciences.

[2]  D. Stekel,et al.  INfrastructure for a PHAge REference Database: Identification of large-scale biases in the current collection of phage genomes , 2021, bioRxiv.

[3]  P. Bork,et al.  Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation , 2021, Nucleic Acids Res..

[4]  Evelien M. Adriaenssens,et al.  A Roadmap for Genome-Based Phage Taxonomy , 2021, Viruses.

[5]  I-Min A. Chen,et al.  IMG/VR v3: an integrated ecological and evolutionary framework for interrogating genomes of uncultivated viruses , 2020, Nucleic Acids Res..

[6]  R. Kaas,et al.  ResFinder 4.0 for predictions of phenotypes from genotypes , 2020, The Journal of antimicrobial chemotherapy.

[7]  O. Lund,et al.  In Silico Genotyping of Escherichia coli Isolates for Extraintestinal Virulence Genes by Use of Whole-Genome Sequencing Data , 2020, Journal of Clinical Microbiology.

[8]  J. Banfield,et al.  Large freshwater phages with the potential to augment aerobic methane oxidation , 2020, Nature Microbiology.

[9]  Evgeny M. Zdobnov,et al.  Phigaro: high throughput prophage sequence annotation , 2019, bioRxiv.

[10]  B. C. M. Ramisetty,et al.  Bacterial ‘Grounded’ Prophages: Hotspots for Genetic Renovation and Innovation , 2019, Front. Genet..

[11]  I. Fijalkowska,et al.  The SOS system: A complex and tightly regulated response to DNA damage , 2019, Environmental and molecular mutagenesis.

[12]  Changsheng Li,et al.  Host-linked soil viral ecology along a permafrost thaw gradient , 2018, Nature Microbiology.

[13]  J. López,et al.  Technologies for the bioconversion of methane into more valuable products. , 2018, Current opinion in biotechnology.

[14]  Takashi Yoshida,et al.  ViPTree: the viral proteomic tree server , 2017, Bioinform..

[15]  Matthew R. Laird,et al.  IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets , 2017, Nucleic Acids Res..

[16]  M. Guarnieri,et al.  Phosphoketolase overexpression increases biomass and lipid yield from methane in an obligate methanotrophic biocatalyst. , 2017, Metabolic engineering.

[17]  S. Abedon,et al.  Lysogeny in nature: mechanisms, impact and ecology of temperate phages , 2017, The ISME Journal.

[18]  Eugene V. Koonin,et al.  Prokaryotic Virus Orthologous Groups (pVOGs): a resource for comparative genomics and protein family annotation , 2016, Nucleic Acids Res..

[19]  Bao-Fa Sun,et al.  Bacteriophage WO Can Mediate Horizontal Gene Transfer in Endosymbiotic Wolbachia Genomes , 2016, Front. Microbiol..

[20]  B. Dutilh,et al.  Ultrastructure and Viral Metagenome of Bacteriophages from an Anaerobic Methane Oxidizing Methylomirabilis Bioreactor Enrichment Culture , 2016, Front. Microbiol..

[21]  O. Lee,et al.  Metabolic engineering of methanotrophs and its application to production of chemicals and biofuels from methane , 2016 .

[22]  T. Wood,et al.  Cryptic prophages as targets for drug development. , 2016, Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy.

[23]  David S. Wishart,et al.  PHASTER: a better, faster version of the PHAST phage search tool , 2016, Nucleic Acids Res..

[24]  L. Tournier,et al.  Carriage of λ Latent Virus Is Costly for Its Bacterial Host due to Frequent Reactivation in Monoxenic Mouse Intestine , 2016, PLoS genetics.

[25]  S. Casjens,et al.  Bacteriophage lambda: Early pioneer and still relevant. , 2015, Virology.

[26]  P. Strong,et al.  Methane as a resource: can the methanotrophs add value? , 2015, Environmental science & technology.

[27]  A. von Haeseler,et al.  IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies , 2014, Molecular biology and evolution.

[28]  Torsten Seemann,et al.  Prokka: rapid prokaryotic genome annotation , 2014, Bioinform..

[29]  Janelle M. Hare,et al.  Prophage Induction and Differential RecA and UmuDAb Transcriptome Regulation in the DNA Damage Responses of Acinetobacter baumannii and Acinetobacter baylyi , 2014, PloS one.

[30]  Mette Voldby Larsen,et al.  Applying the ResFinder and VirulenceFinder web-services for easy identification of acquired antibiotic resistance and E. coli virulence genes in bacteriophage and prophage nucleotide sequences , 2014, Bacteriophage.

[31]  Alexandros Stamatakis,et al.  RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies , 2014, Bioinform..

[32]  M. Touchon,et al.  The Adaptation of Temperate Bacteriophages to Their Host Genomes , 2012, Molecular biology and evolution.

[33]  E. Stewart Growing Unculturable Bacteria , 2012, Journal of bacteriology.

[34]  Shane S. Sturrock,et al.  Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data , 2012, Bioinform..

[35]  Sean R. Eddy,et al.  Accelerated Profile HMM Searches , 2011, PLoS Comput. Biol..

[36]  David S. Wishart,et al.  PHAST: A Fast Phage Search Tool , 2011, Nucleic Acids Res..

[37]  Xin-Hui Xing,et al.  Methanotrophs: Multifunctional bacteria with promising applications in environmental bioengineering , 2010 .

[38]  C. F. van der Walle,et al.  Stabilization of bacteriophage during freeze drying. , 2010, International journal of pharmaceutics.

[39]  Darren L. Smith,et al.  High-Throughput Method for Rapid Induction of Prophages from Lysogens and Its Application in the Study of Shiga Toxin-Encoding Escherichia coli Strains , 2010, Applied and Environmental Microbiology.

[40]  Kazutaka Katoh,et al.  Recent developments in the MAFFT multiple sequence alignment program , 2008, Briefings Bioinform..

[41]  Florent E. Angly,et al.  The Marine Viromes of Four Oceanic Regions , 2006, PLoS biology.

[42]  R. Ranjan,et al.  'Unculturable' bacterial diversity: An untapped resource , 2005 .

[43]  Robert C. Edgar,et al.  MUSCLE: a multiple sequence alignment method with reduced time and space complexity , 2004, BMC Bioinformatics.

[44]  H. Brüssow,et al.  Comparative phage genomics and the evolution of Siphoviridae: insights from dairy phages , 2001, Molecular microbiology.

[45]  L. Wackett Metabolic engineering , 2009, Nature biotechnology.

[46]  R. Hendrix,et al.  Genomic sequences of bacteriophages HK97 and HK022: pervasive genetic mosaicism in the lambdoid bacteriophages. , 2000, Journal of molecular biology.

[47]  G. Gottschalk,et al.  Osmoadaptation in halophilic and alkaliphilic methanotrophs , 1999, Archives of Microbiology.

[48]  David Posada,et al.  MODELTEST: testing the model of DNA substitution , 1998, Bioinform..

[49]  L. Tao,et al.  Analysis of Lactobacillus phages and bacteriocins in American dairy products and characterization of a phage isolated from yogurt , 1996, Applied and environmental microbiology.

[50]  A. Tikhonenko,et al.  Bacteriophages of methanotrophs isolated from fish , 1983, Applied and environmental microbiology.

[51]  I. Bespalova,et al.  Bacteriophages of methanotrophic bacteria , 1980, Journal of bacteriology.

[52]  D. Botstein,et al.  Superinfection exclusion by P22 prophage in lysogens of Salmonella typhimurium. III. Failure of superinfecting phage DNA to enter sieA+ lysogens. , 1974, Virology.

[53]  R. Whittenbury,et al.  Enrichment, isolation and some properties of methane-utilizing bacteria. , 1970, Journal of general microbiology.

[54]  M. Sekiguchi,et al.  Induction of Phage Formation in the Lysogenic Escherichia coli K-12 by Mitomycin C , 1959, Nature.

[55]  J. Kawamata,et al.  Selective Inhibition of Formation of Deoxyribonucleic Acid in Escherichia coli by Mitomycin C , 1959, Nature.