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Diversity and ecological potentials of viral assemblages from the seamount sediments of the Northwest Pacific Ocean

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    1. Seamount sediments harbor diverse viruses, cobalt-rich crust influent the virus communities.

      Nitrososphaeria was one of the major hosts of seamount sediment viruses.

      Viruses from cobalt-rich crusts are enriched with auxiliary metabolic genes for heme and cobalamin metabolism.

  • Viruses are the most abundant life forms in the sea, influencing the community structure and metabolism of host cells and biogeochemical cycles. However, the diversity of viruses and their ecological roles within seamount sediments ecosystems, natural microbiota havens characterized by high biodiversity, remain largely unknown. Here, the seamount viral genome (SMVG) dataset, based on a metagenomic analysis of twelve seamount sediment samples collected from the seamount regions of the Northwest Pacific Ocean, was established. A total of 78,069 viral operational taxonomic units (vOTUs) were found, spanning 18 viral classes and 63 viral families. The detection of sixteen viral auxiliary metabolic genes (AMGs) suggests that viruses may participate in the metabolic processes associated with sediment microbial communities and biogeochemical cycles, including carbon, sulfur, metal, heme, and cobalamin cycling. AMGs involved in the metabolism of heme, cobalamin, and metals were more often detected in seamount sediments than in trenches, cool seeps, and hydrothermal vents. This investigation of the viral communities in these seamount sediments provides new insights into the high diversity and ecological potential of the viruses and establishes a foundation for the future study of benthic viruses from deep-sea seamounts.
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  • [1] Fuhrman, J.A. (1999). Marine viruses and their biogeochemical and ecological effects. Nature 399: 541−548. DOI: 10.1038/21119.

    View in Article CrossRef Google Scholar Scopus

    [2] Brum, J.R. and Sullivan, M.B. (2015). Rising to the challenge: Accelerated pace of discovery transforms marine virology. Nat. Rev. Microbiol. 13: 147−159. DOI: 10.1038/nrmicro3404.

    View in Article CrossRef Google Scholar Scopus

    [3] He, T., Li, H., and Zhang, X. (2017). Deep-sea hydrothermal vent viruses compensate for microbial metabolism in virus-host interactions. mBio 8 :00893-17. DOI: 10.1128/mBio.00893-17.

    View in Article Google Scholar

    [4] Zhao, K., Liu, A., and Xia, Y. (2020). Insights into hepatitis b virus DNA integration-55 years after virus discovery. The Innovation 1: 100034. DOI: 10.1016/j.xinn.2020.100034.

    View in Article CrossRef Google Scholar

    [5] Brussaard, C.P., Wilhelm, S.W., Thingstad, F., et al. (2008). Global-scale processes with a nanoscale drive: The role of marine viruses. ISME J. 2: 575−578. DOI: 10.1038/ismej.2008.31.

    View in Article CrossRef Google Scholar Scopus

    [6] Braga, L.P.P., Orland, C., Emilson, E.J.S., et al. (2022). Viruses direct carbon cycling in lake sediments under global change. Proc. Natl. Acad. Sci. U.S.A. 119: e2202261119. DOI: 10.1073/pnas.2202261119.

    View in Article CrossRef Google Scholar Scopus

    [7] Yang, Q., Gao, C., Jiang, Y., et al. (2019). Metagenomic characterization of the viral community of the south scotia ridge. Viruses 11 : 95. DOI: 10.3390/v11020095.

    View in Article Google Scholar

    [8] Jian, H., Yi, Y., Wang, J., et al. (2021). Diversity and distribution of viruses inhabiting the deepest ocean on earth. ISME J. 15: 3094−3110. DOI: 10.1038/s41396-021-00994-y.

    View in Article CrossRef Google Scholar

    [9] Zhou, H., Chen, P., Zhang, M., et al. (2021). Revealing the viral community in the hadal sediment of the new britain trench. Genes 12 : 990. DOI: 10.3390/genes12070990.

    View in Article Google Scholar

    [10] Rogers, A.D. (2018). The biology of seamounts: 25 years on. Adv. Mar. Biol. 79: 137−224. DOI: 10.1016/bs.amb.2018.06.001.

    View in Article CrossRef Google Scholar

    [11] Rogers, A.D. (2019). Chapter 23 - threats to seamount ecosystems and their management. Sheppard, C. (ed). World seas: An environmental evaluation (second edition) (Academic Press), pp: 427-451. DOI: 10.1016/B978-0-12-805052-1.00018-8.

    View in Article Google Scholar

    [12] Marzia, B., Martina, C., Federico, B., et al. (2020). Unveiling the deep biodiversity of the janua seamount (ligurian sea): First mediterranean sighting of the rare atlantic bamboo coral chelidonisis aurantiaca studer, 1890. Deep-Sea Res. I 156: 103186. DOI: 10.1016/j.dsr.2019.103186.

    View in Article CrossRef Google Scholar

    [13] Consalvey, M., Clark, M.R., Rowden, A.A., et al. (2010). Life on seamounts. Life in the World's Oceans. pp:123-139. DOI:10.1002/9781444325508.ch7.

    View in Article Google Scholar

    [14] Danovaro, R., Corinaldesi, C., Luna, G.M., et al. (2009). Prokaryote diversity and viral production in deep-sea sediments and seamounts. Deep-Sea Res. II 56: 738−747. DOI: 10.1016/j.dsr2.2008.10.011.

    View in Article CrossRef Google Scholar Scopus

    [15] Rivera, J., Canals, M., Lastras, G., et al. (2016). Morphometry of concepcion bank: Evidence of geological and biological processes on a large volcanic seamount of the canary islands seamount province. PLOS One 11: e0156337. DOI: 10.1371/journal.pone.0156337.

    View in Article CrossRef Google Scholar

    [16] Yesson, C., Clark, M.R., Taylor, M.L., et al. (2011). The global distribution of seamounts based on 30 arc seconds bathymetry data. Deep-Sea Res. I 58: 442−453. DOI: 10.1016/j.dsr.2011.02.004.

    View in Article CrossRef Google Scholar Scopus

    [17] Rogers, A., Brierley, A., Croot, P., et al. (2015). Delving deeper: Critical challenges for 21st century deep-sea research. DOI: 10.13140/RG.2.1.1868.2327. https://www.marineboard.eu/sites/marineboard.eu/files/public/publication/EMB_PP22_Web_v4.pdf.

    View in Article Google Scholar

    [18] Thomas, E., Anderson, R.E., Li, V., et al. (2021). Diverse viruses in deep-sea hydrothermal vent fluids have restricted dispersal across ocean basins. mSystems 6: e0006821. DOI: 10.1128/mSystems.00068-21.

    View in Article CrossRef Google Scholar

    [19] Dai, S., Zhao, Y., Li, X., et al. (2020). The seamount effect on phytoplankton in the tropical western pacific. Mar. Environ. Res. 162: 105094. DOI: 10.1016/j.marenvres.2020.105094.

    View in Article CrossRef Google Scholar

    [20] McAllister, S.M., Vandzura, R., Keffer, J.L., et al. (2021). Aerobic and anaerobic iron oxidizers together drive denitrification and carbon cycling at marine iron-rich hydrothermal vents. ISME J. 15: 1271−1286. DOI: 10.1038/s41396-020-00849-y.

    View in Article CrossRef Google Scholar Scopus

    [21] Liu, J., Zhang, W., Li, X., et al. (2017). Bacterial community structure and novel species of magnetotactic bacteria in sediments from a seamount in the mariana volcanic arc. Sci. Rep. 7: 17964. DOI: 10.1038/s41598-017-17445-4.

    View in Article CrossRef Google Scholar

    [22] Gao, C., Liang, Y., Jiang, Y., et al. (2022). Virioplankton assemblages from challenger deep, the deepest place in the oceans. iScience 25: 104680. DOI: 10.1016/j.isci.2022.104680.

    View in Article CrossRef Google Scholar

    [23] Dean, F.B., Hosono, S., Fang, L., et al. (2002). Comprehensive human genome amplification using multiple displacement amplification. Proc. Natl. Acad. Sci. U.S.A. 99: 5261−5266. DOI: 10.1073/pnas.082089499.

    View in Article CrossRef Google Scholar Scopus

    [24] Thoendel, M., Jeraldo, P., Greenwood-Quaintance, K.E., et al. (2017). Impact of contaminating DNA in whole-genome amplification kits used for metagenomic shotgun sequencing for infection diagnosis. J. Clin. Microbiol. 55: 1789−1801. DOI: 10.1128/jcm.02402-16.

    View in Article CrossRef Google Scholar Scopus

    [25] Chen, S., Zhou, Y., Chen, Y., et al. (2018). Fastp: An ultra-fast all-in-one fastq preprocessor. Bioinformatics (Oxford, England) 34: i884−i890. DOI: 10.1093/bioinformatics/bty560.

    View in Article CrossRef Google Scholar

    [26] Kechin, A., Boyarskikh, U., Kel, A., et al. (2017). Cutprimers: A new tool for accurate cutting of primers from reads of targeted next generation sequencing. J. Comput. Biol. 24: 1138−1143. DOI: 10.1089/cmb.2017.0096.

    View in Article CrossRef Google Scholar

    [27] Yang, Y., Liu, G., Ye, C., et al. (2019). Bacterial community and climate change implication affected the diversity and abundance of antibiotic resistance genes in wetlands on the qinghai-tibetan plateau. J. Hazard. Mater. 361: 283−293. DOI: 10.1016/j.jhazmat.2018.09.002.

    View in Article CrossRef Google Scholar

    [28] Li, D., Luo, R., Liu, C.M., et al. (2016). Megahit v1.0: A fast and scalable metagenome assembler driven by advanced methodologies and community practices. Methods (San Diego, Calif.) 102 : 3-11. DOI: 10.1016/j.ymeth.2016.02.020.

    View in Article Google Scholar

    [29] Nurk, S., Meleshko, D., Korobeynikov, A., et al. (2017). Metaspades: A new versatile metagenomic assembler. Genome Res. 27: 824−834. DOI: 10.1101/gr.213959.116.

    View in Article CrossRef Google Scholar

    [30] Gu, C., Liang, Y., Li, J., et al. (2021). Saline lakes on the qinghai-tibet plateau harbor unique viral assemblages mediating microbial environmental adaption. iScience 24: 103439. DOI: 10.1016/j.isci.2021.103439.

    View in Article CrossRef Google Scholar

    [31] Mikheenko, A., Saveliev, V., and Gurevich, A. (2016). Metaquast: Evaluation of metagenome assemblies. Bioinformatics (Oxford, England) 32: 1088−1090. DOI: 10.1093/bioinformatics/btv697.

    View in Article CrossRef Google Scholar

    [32] Roux, S., Enault, F., Hurwitz, B.L., et al. (2015). Virsorter: Mining viral signal from microbial genomic data. PeerJ 3: e985. DOI: 10.7717/peerj.985.

    View in Article CrossRef Google Scholar

    [33] Ren, J., Ahlgren, N.A., Lu, Y.Y., et al. (2017). Virfinder: A novel k-mer based tool for identifying viral sequences from assembled metagenomic data. Microbiome 5: 69. DOI: 10.1186/s40168-017-0283-5.

    View in Article CrossRef Google Scholar

    [34] Nayfach, S., Camargo, A.P., Schulz, F., et al. (2021). Checkv assesses the quality and completeness of metagenome-assembled viral genomes. Nat. Biotechnol. 39: 578−585. DOI: 10.1038/s41587-020-00774-7.

    View in Article CrossRef Google Scholar

    [35] Fu, L., Niu, B., Zhu, Z., et al. (2012). Cd-hit: Accelerated for clustering the next-generation sequencing data. Bioinformatics (Oxford, England) 28: 3150−3152. DOI: 10.1093/bioinformatics/bts565.

    View in Article CrossRef Google Scholar

    [36] Li, B., Ruotti, V., Stewart, R.M., et al. (2010). Rna-seq gene expression estimation with read mapping uncertainty. Bioinformatics (Oxford, England) 26: 493−500. DOI: 10.1093/bioinformatics/btp692.

    View in Article CrossRef Google Scholar

    [37] Patro, R., Duggal, G., Love, M.I., et al. (2017). Salmon provides fast and bias-aware quantification of transcript expression. Nat. Methods 14: 417−419. DOI: 10.1038/nmeth.4197.

    View in Article CrossRef Google Scholar Scopus

    [38] von Meijenfeldt, F.A.B., Arkhipova, K., Cambuy, D.D., et al. (2019). Robust taxonomic classification of uncharted microbial sequences and bins with cat and bat. Genome Biol. 20: 217. DOI: 10.1186/s13059-019-1817-x.

    View in Article CrossRef Google Scholar

    [39] Kieft, K., Zhou, Z., and Anantharaman, K. (2020). Vibrant: Automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences. Microbiome 8: 90. DOI: 10.1186/s40168-020-00867-0.

    View in Article CrossRef Google Scholar

    [40] Esterman, E.S., Wolf, Y.I., Kogay, R., et al. (2021). Evolution of DNA packaging in gene transfer agents. Virus Evol. 7: veab015. DOI: 10.1093/ve/veab015.

    View in Article CrossRef Google Scholar Scopus

    [41] Endo, H., Blanc-Mathieu, R., Li, Y., et al. (2020). Biogeography of marine giant viruses reveals their interplay with eukaryotes and ecological functions. Nat. Ecol. Evol. 4: 1639−1649. DOI: 10.1038/s41559-020-01288-w.

    View in Article CrossRef Google Scholar Scopus

    [42] Katoh, K. and Standley, D.M. (2016). A simple method to control over-alignment in the mafft multiple sequence alignment program. Bioinformatics (Oxford, England) 32: 1933−1942. DOI: 10.1093/bioinformatics/btw108.

    View in Article CrossRef Google Scholar

    [43] Capella-Gutiérrez, S., Silla-Martínez, J.M., and Gabaldón, T. (2009). Trimal: A tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics (Oxford, England) 25: 1972−1973. DOI: 10.1093/bioinformatics/btp348.

    View in Article CrossRef Google Scholar

    [44] Minh, B.Q., Schmidt, H.A., Chernomor, O., 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.

    View in Article CrossRef Google Scholar

    [45] Letunic, I. and Bork, P. (2021). Interactive tree of life (itol) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 49: w293−w296. DOI: 10.1093/nar/gkab301.

    View in Article CrossRef Google Scholar

    [46] Camargo, A.P., Nayfach, S., Chen, I.A., et al. (2023). Img/vr v4: An expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata. Nucleic Acids Res. 51: D733−d743. DOI: 10.1093/nar/gkac1037.

    View in Article CrossRef Google Scholar

    [47] Li, Z., Pan, D., Wei, G., et al. (2021). Deep sea sediments associated with cold seeps are a subsurface reservoir of viral diversity. ISME J. 15: 2366−2378. DOI: 10.1038/s41396-021-00932-y.

    View in Article CrossRef Google Scholar Scopus

    [48] Hyatt, D., Chen, G.L., Locascio, P.F., et al. (2010). Prodigal: Prokaryotic gene recognition and translation initiation site identification. BMC bioinformatics 11: 119. DOI: 10.1186/1471-2105-11-119.

    View in Article CrossRef Google Scholar Scopus

    [49] Buchfink, B., Xie, C., and Huson, D.H. (2015). Fast and sensitive protein alignment using diamond. Nat. Methods 12: 59−60. DOI: 10.1038/nmeth.3176.

    View in Article CrossRef Google Scholar

    [50] Bolduc, B., Jang, H.B., Doulcier, G., et al. (2017). Vcontact: An ivirus tool to classify double-stranded DNA viruses that infect archaea and bacteria. PeerJ 5: e3243. DOI: 10.7717/peerj.3243.

    View in Article CrossRef Google Scholar

    [51] Shannon, P., Markiel, A., Ozier, O., et al. (2003). Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 13: 2498−2504. DOI: 10.1101/gr.1239303.

    View in Article CrossRef Google Scholar

    [52] Chen, T., Zhang, H., Liu, Y., et al. (2021). Evenn: Easy to create repeatable and editable venn diagrams and venn networks online. J. Genet. Genomics 48: 863−866. DOI: 10.1016/j.jgg.2021.07.007.

    View in Article CrossRef Google Scholar

    [53] Uritskiy, G.V., DiRuggiero, J., and Taylor, J. (2018). Metawrap-a flexible pipeline for genome-resolved metagenomic data analysis. Microbiome 6: 158. DOI: 10.1186/s40168-018-0541-1.

    View in Article CrossRef Google Scholar

    [54] Olm, M.R., Brown, C.T., Brooks, B., et al. (2017). Drep: A tool for fast and accurate genomic comparisons that enables improved genome recovery from metagenomes through de-replication. The ISME journal 11: 2864−2868. DOI: 10.1038/ismej.2017.126.

    View in Article CrossRef Google Scholar

    [55] Parks, D.H., Chuvochina, M., Waite, D.W., et al. (2018). A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat. Biotechnol. 36: 996−1004. DOI: 10.1038/nbt.4229.

    View in Article CrossRef Google Scholar Scopus

    [56] Ahlgren, N.A., Ren, J., Lu, Y.Y., et al. (2017). Alignment-free $d_2^*$ oligonucleotide frequency dissimilarity measure improves prediction of hosts from metagenomically-derived viral sequences. Nucleic Acids Res. 45: 39−53. DOI: 10.1093/nar/gkw1002.

    View in Article CrossRef Google Scholar

    [57] Laslett, D. and Canback, B. (2004). Aragorn, a program to detect trna genes and tmrna genes in nucleotide sequences. Nucleic Acids Res. 32: 11−16. DOI: 10.1093/nar/gkh152.

    View in Article CrossRef Google Scholar

    [58] Coutinho, F.H., Silveira, C.B., Gregoracci, G.B., et al. (2017). Marine viruses discovered via metagenomics shed light on viral strategies throughout the oceans. Nat. Commun. 8: 15955. DOI: 10.1038/ncomms15955.

    View in Article CrossRef Google Scholar Scopus

    [59] Skennerton, C.T., Imelfort, M., and Tyson, G.W. (2013). Crass: Identification and reconstruction of crispr from unassembled metagenomic data. Nucleic Acids Res. 41: e105. DOI: 10.1093/nar/gkt183.

    View in Article CrossRef Google Scholar

    [60] Emerson, J.B., Roux, S., Brum, J.R., et al. (2018). Host-linked soil viral ecology along a permafrost thaw gradient. Nat. Microbiol. 3: 870−880. DOI: 10.1038/s41564-018-0190-y.

    View in Article CrossRef Google Scholar Scopus

    [61] Drula, E., Garron, M.L., Dogan, S., et al. (2022). The carbohydrate-active enzyme database: Functions and literature. Nucleic Acids Res. 50: D571−d577. DOI: 10.1093/nar/gkab1045.

    View in Article CrossRef Google Scholar Scopus

    [62] Huerta-Cepas, J., Forslund, K., Coelho, L.P., et al. (2017). Fast genome-wide functional annotation through orthology assignment by eggnog-mapper. Mol. Biol. Evol. 34: 2115−2122. DOI: 10.1093/molbev/msx148.

    View in Article CrossRef Google Scholar

    [63] Kanehisa, M., Sato, Y., and Morishima, K. (2016). Blastkoala and ghostkoala: Kegg tools for functional characterization of genome and metagenome sequences. J. Mol. Biol. 428: 726−731. DOI: 10.1016/j.jmb.2015.11.006.

    View in Article CrossRef Google Scholar

    [64] Grazziotin, A.L., Koonin, E.V., and Kristensen, D.M. (2017). Prokaryotic virus orthologous groups (pvogs): A resource for comparative genomics and protein family annotation. Nucleic Acids Res. 45: D491−d498. DOI: 10.1093/nar/gkw975.

    View in Article CrossRef Google Scholar

    [65] Chen, C., Chen, H., Zhang, Y., et al. (2020). Tbtools: An integrative toolkit developed for interactive analyses of big biological data. Mol. Plant 13: 1194−1202. DOI: 10.1016/j.molp.2020.06.009.

    View in Article CrossRef Google Scholar

    [66] Cheng, R., Li, X., Jiang, L., et al. (2022). Virus diversity and interactions with hosts in deep-sea hydrothermal vents. Microbiome 10: 235. DOI: 10.1186/s40168-022-01441-6.

    View in Article CrossRef Google Scholar Scopus

    [67] Dixon, P. (2003). Vegan, a package of r functions for community ecology. J. Veg. Sci. 14 : 927-930. DOI: 10.1111/j.1654-1103.2003.tb02228.x.

    View in Article Google Scholar

    [68] Kato, S., Hirai, M., Ohkuma, M., et al. (2019). Microbial metabolisms in an abyssal ferromanganese crust from the takuyo-daigo seamount as revealed by metagenomics. PLOS One 14: e0224888. DOI: 10.1371/journal.pone.0224888.

    View in Article CrossRef Google Scholar

    [69] Dell'Anno, F., Rastelli, E., Tangherlini, M., et al. (2021). Highly contaminated marine sediments can host rare bacterial taxa potentially useful for bioremediation. Front. Microbiol. 12: 584850. DOI: 10.3389/fmicb.2021.584850.

    View in Article CrossRef Google Scholar

    [70] Gregory, A.C., Zayed, A.A., Conceição-Neto, N., et al. (2019). Marine DNA viral macro- and microdiversity from pole to pole. Cell 177: 1109−1123.e1114. DOI: 10.1016/j.cell.2019.03.040.

    View in Article CrossRef Google Scholar

    [71] Liang, Y., Wang, L., Wang, Z., et al. (2019). Metagenomic analysis of the diversity of DNA viruses in the surface and deep sea of the south china sea. Front. Microbiol. 10: 1951. DOI: 10.3389/fmicb.2019.01951.

    View in Article CrossRef Google Scholar

    [72] Meiaoxue, H., Shunan, C., Guangfu, L., et al. (2022). Distributions of virio- and picoplankton and their relationships with ice-melting and upwelling in the indian ocean sector of east antarctica. Deep-Sea Res. II 197: 105044. DOI: 10.1016/j.dsr2.2022.105044.

    View in Article CrossRef Google Scholar

    [73] Kato, S., Okumura, T., Uematsu, K., et al. (2018). Heterogeneity of microbial communities on deep-sea ferromanganese crusts in the takuyo-daigo seamount. Microbes Environ. 33: 366−377. DOI: 10.1264/jsme2.ME18090.

    View in Article CrossRef Google Scholar

    [74] Akira, U., Keisuke, N., Hisaaki, S., et al. (2017). Continuous growth of hydrogenetic ferromanganese crusts since 17myr ago on takuyo-daigo seamount, nw pacific, at water depths of 800–5500m. Ore Geol. Rev. 87: 71−87. DOI: 10.1016/j.oregeorev.2016.09.032.

    View in Article CrossRef Google Scholar

    [75] Kwan, Y.H., Mestre, N.C., Zhang, D., et al. (2023). Metal ecotoxicology: An essential component in environmental impact assessment of deep-sea mining. The Innovation Geoscience 1: 100004. DOI: 10.59717/j.xinn-geo.2023.100004.

    View in Article CrossRef Google Scholar Scopus

    [76] Zhang, W., Liu, Y., and Zhao, W. (2023). Occurrence and enrichment of cobalt in ferromanganese nodules from the western pacific. Ore Geol. Rev. 163: 105758. DOI: 10.1016/j.oregeorev.2023.105758.

    View in Article CrossRef Google Scholar

    [77] Liao, L., Xu, X.W., Jiang, X.W., et al. (2011). Microbial diversity in deep-sea sediment from the cobalt-rich crust deposit region in the pacific ocean. FEMS Microbiol. Ecol. 78: 565−585. DOI: 10.1111/j.1574-6941.2011.01186.x.

    View in Article CrossRef Google Scholar

    [78] Chen, W., Na, J., and Zhang, D. (2021). Description of three species of ophioplinthacids, including a new species, from a deep seamount in the northwest pacific ocean. PeerJ 9: e11566. DOI: 10.7717/peerj.11566.

    View in Article CrossRef Google Scholar

    [79] Molodtsova, T.N., Opresko, D.M., and Wagner, D. (2022). Description of a new and widely distributed species of bathypathes (Cnidaria: Anthozoa: Antipatharia: Schizopathidae) previously misidentified as bathypathes alternata Brook, 1889. Peer J. 10: e12638. DOI: 10.7717/peerj.12638.

    View in Article CrossRef Google Scholar

    [80] Trubl, G., Jang, H.B., Roux, S., et al. (2018). Soil viruses are underexplored players in ecosystem carbon processing. mSystems 3 : 00076-18. DOI: 10.1128/mSystems.00076-18.

    View in Article Google Scholar

    [81] Paez-Espino, D., Eloe-Fadrosh, E.A., Pavlopoulos, G.A., et al. (2016). Uncovering earth's virome. Nature 536: 425−430. DOI: 10.1038/nature19094.

    View in Article CrossRef Google Scholar

    [82] Roux, S., Hallam, S.J., Woyke, T., et al. (2015). Viral dark matter and virus-host interactions resolved from publicly available microbial genomes. eLife 4 : e08490. DOI: 10.7554/eLife.08490.

    View in Article Google Scholar

    [83] Kim, S., Kang, I., Lee, J.W., et al. (2021). Heme auxotrophy in abundant aquatic microbial lineages. Proc. Natl. Acad. Sci. U.S.A. 118 :e2102750118. DOI: 10.1073/pnas.2102750118.

    View in Article Google Scholar

    [84] Wiegand, S., Jogler, M., and Jogler, C. (2018). On the maverick planctomycetes. FEMS Microbiol. Rev. 42: 739−760. DOI: 10.1093/femsre/fuy029.

    View in Article CrossRef Google Scholar

    [85] Shao, Q., Sun, D., Fang, C., et al. (2022). Biodiversity and biogeography of abundant and rare microbial assemblages in the western subtropical pacific ocean. Front. Microbiol. 13: 839562. DOI: 10.3389/fmicb.2022.839562.

    View in Article CrossRef Google Scholar

    [86] Sun, Q., Song, J., Li, X., et al. (2020). Bacterial vertical and horizontal variability around a deep seamount in the tropical western pacific ocean. Mar. Pollut. Bull. 158: 111419. DOI: 10.1016/j.marpolbul.2020.111419.

    View in Article CrossRef Google Scholar

    [87] Ma, J., Song, J., Li, X., et al. (2019). Environmental characteristics in three seamount areas of the tropical western pacific ocean: Focusing on nutrients. Mar. Pollut. Bull. 143: 163−174. DOI: 10.1016/j.marpolbul.2019.04.045.

    View in Article CrossRef Google Scholar

    [88] Esposito, A., Tamburini, S., Triboli, L., et al. (2019). Insights into the genome structure of four acetogenic bacteria with specific reference to the wood-ljungdahl pathway. MicrobiologyOpen 8: e938. DOI: 10.1002/mbo3.938.

    View in Article CrossRef Google Scholar

    [89] Youssef, N.H., Farag, I.F., Rudy, S., et al. (2019). The wood-ljungdahl pathway as a key component of metabolic versatility in candidate phylum bipolaricaulota (acetothermia, op1). Environ. Microbiol. Rep. 11: 538−547. DOI: 10.1111/1758-2229.12753.

    View in Article CrossRef Google Scholar

    [90] Ragsdale, S.W. and Pierce, E. (2008). Acetogenesis and the wood-ljungdahl pathway of co(2) fixation. Biochim. Biophys. Acta 1784: 1873−1898. DOI: 10.1016/j.bbapap.2008.08.012.

    View in Article CrossRef Google Scholar

    [91] Nardella, C., Boi, D., di Salvo, M.L., et al. (2019). Isolation of a complex formed between acinetobacter baumannii hema and heml, key enzymes of tetrapyrroles biosynthesis. Front. Mol. Biosci. 6: 6. DOI: 10.3389/fmolb.2019.00006.

    View in Article CrossRef Google Scholar

    [92] Phadtare, S. (2004). Recent developments in bacterial cold-shock response. Curr. Issues Mol. Biol. 6: 125−136. DOI.

    View in Article Google Scholar Scopus

    [93] Jiang, W., Hou, Y., and Inouye, M. (1997). Cspa, the major cold-shock protein of escherichia coli, is an rna chaperone. J. Biol. Chem. 272: 196−202. DOI: 10.1074/jbc.272.1.196.

    View in Article CrossRef Google Scholar

    [94] Behl, A., Kumar, V., Shevtsov, M., et al. (2020). Pleiotropic roles of cold shock proteins with special emphasis on unexplored cold shock protein member of plasmodium falciparum. Malar. J. 19: 382. DOI: 10.1186/s12936-020-03448-6.

    View in Article CrossRef Google Scholar

    [95] Giljan, G., Kamennaya, N.A., Otto, A., et al. (2020). Bacterioplankton reveal years-long retention of atlantic deep-ocean water by the tropic seamount. Sci. Rep. 10: 4715. DOI: 10.1038/s41598-020-61417-0.

    View in Article CrossRef Google Scholar

    [96] Liang, J., Feng, J.C., Zhang, S., et al. (2021). Role of deep-sea equipment in promoting the forefront of studies on life in extreme environments. iScience 24: 103299. DOI: 10.1016/j.isci.2021.103299.

    View in Article CrossRef Google Scholar Scopus

    [97] Feng, J.C., Liang, J., Cai, Y., et al. (2022). Deep-sea organisms research oriented by deep-sea technologies development. Sci. Bull. 67: 1802−1816. DOI: 10.1016/j.scib.2022.07.016.

    View in Article CrossRef Google Scholar Scopus

    [98] Dutt, S., Hamza, I., and Bartnikas, T.B. (2022). Molecular mechanisms of iron and heme metabolism. Annu. Rev. Nutr. 42: 311−335. DOI: 10.1146/annurev-nutr-062320-112625.

    View in Article CrossRef Google Scholar

    [99] Anzaldi, L.L. and Skaar, E.P. (2010). Overcoming the heme paradox: Heme toxicity and tolerance in bacterial pathogens. Infect. Immun. 78: 4977−4989. DOI: 10.1128/iai.00613-10.

    View in Article CrossRef Google Scholar Scopus

    [100] Dailey, H.A., Dailey, T.A., Gerdes, S., et al. (2017). Prokaryotic heme biosynthesis: Multiple pathways to a common essential product. Microbiol. Mol. Biol. 81 . DOI: 10.1128/mmbr.00048-16.

    View in Article Google Scholar

    [101] Brzezowski, P., Richter, A.S., and Grimm, B. (2015). Regulation and function of tetrapyrrole biosynthesis in plants and algae. Biochim. Biophys. Acta 1847: 968−985. DOI: 10.1016/j.bbabio.2015.05.007.

    View in Article CrossRef Google Scholar Scopus

    [102] Richard, K.L., Kelley, B.R., and Johnson, J.G. (2019). Heme uptake and utilization by gram-negative bacterial pathogens. Front. Cell. Infect. Microbiol. 9: 81. DOI: 10.3389/fcimb.2019.00081.

    View in Article CrossRef Google Scholar Scopus

    [103] Thompson, J.M., Jones, H.A., and Perry, R.D. (1999). Molecular characterization of the hemin uptake locus (hmu) from yersinia pestis and analysis of hmu mutants for hemin and hemoprotein utilization. Infect. Immun. 67: 3879−3892. DOI: 10.1128/iai.67.8.3879-3892.1999.

    View in Article CrossRef Google Scholar

    [104] Sañudo-Wilhelmy, S.A., Gómez-Consarnau, L., Suffridge, C., et al. (2014). The role of b vitamins in marine biogeochemistry. Ann. Rev. Mar. Sci. 6: 339−367. DOI: 10.1146/annurev-marine-120710-100912.

    View in Article CrossRef Google Scholar

    [105] Soto, M.A., Desai, D., Bannon, C., et al. (2023). Cobalamin producers and prokaryotic consumers in the northwest atlantic.Environ. Microbiol. DOI: 10.1111/1462-2920.16363.

    View in Article Google Scholar

    [106] Jin, X., Yang, Y., Cao, H., et al. (2022). Eco-phylogenetic analyses reveal divergent evolution of vitamin b(12) metabolism in the marine bacterial family 'psychromonadaceae'. Environ. Microbiol. Rep. 14: 147−163. DOI: 10.1111/1758-2229.13036.

    View in Article CrossRef Google Scholar

    [107] Nahvi, A., Barrick, J.E., and Breaker, R.R. (2004). Coenzyme b12 riboswitches are widespread genetic control elements in prokaryotes. Nucleic Acids Res. 32: 143−150. DOI: 10.1093/nar/gkh167.

    View in Article CrossRef Google Scholar

    [108] Zhang, J.H., Yuan, H., Wang, X., et al. (2021). Crystal structure of the large subunit of cobaltochelatase from mycobacterium tuberculosis. Proteins 89: 462−467. DOI: 10.1002/prot.26023.

    View in Article CrossRef Google Scholar

    [109] Lundqvist, J., Elmlund, D., Heldt, D., et al. (2009). The AAA(+) motor complex of subunits CobS and CobT of cobaltochelatase visualized by single particle electron microscopy. J. Struct. Biol. 167: 227−234. DOI: 10.1016/j.jsb.2009.06.013.

    View in Article CrossRef Google Scholar

    [110] Warren, M.J., Raux, E., Schubert, H.L., et al. (2002). The biosynthesis of adenosylcobalamin (vitamin b12). Nat. Prod. Rep. 19: 390−412. DOI: 10.1039/b108967f.

    View in Article CrossRef Google Scholar

    [111] Chen, T., Chen, X., Zhang, S., et al. (2021). The genome sequence archive family: Toward explosive data growth and diverse data types. Genom. Proteom. Bioinform. 19: 578−583. DOI: 10.1016/j.gpb.2021.08.001.

    View in Article CrossRef Google Scholar

    [112] Database resources of the national genomics data center, china national center for bioinformation in 2022. (2022). Nucleic Acids Res. 50 :D27-d38. DOI: 10.1093/nar/gkab951.

    View in Article Google Scholar

  • Cite this article:

    Chen Y., Gao C., Liu Q., et al., (2024). Diversity and ecological potentials of viral assemblages from the seamount sediments of the Northwest Pacific Ocean. The Innovation Geoscience 2(3): 100088. https://doi.org/10.59717/j.xinn-geo.2024.100088
    Chen Y., Gao C., Liu Q., et al., (2024). Diversity and ecological potentials of viral assemblages from the seamount sediments of the Northwest Pacific Ocean. The Innovation Geoscience 2(3): 100088. https://doi.org/10.59717/j.xinn-geo.2024.100088

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