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    Diversity and distribution of marine heterotrophic bacteria from a large culture collection

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    Type
    Dataset
    Authors
    Sanz-Sáez, Isabel
    Salazar, Guillem
    Sánchez, Pablo
    Lara, Elena
    Royo-Llonch, Marta
    Sà, Elisabet L.
    Lucena, Teresa
    Pujalte, María J.
    Vaqué, Dolors
    Duarte, Carlos M. cc
    Gasol, Josep M.
    Pedrós-Alió, Carlos
    Sánchez, Olga
    Acinas, Silvia G.
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Marine Science Program
    Red Sea Research Center (RSRC)
    Date
    2020
    Permanent link to this record
    http://hdl.handle.net/10754/664970
    
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    Show full item record
    Abstract
    Abstract Background Isolation of marine microorganisms is fundamental to gather information about their physiology, ecology and genomic content. To date, most of the bacterial isolation efforts have focused on the photic ocean leaving the deep ocean less explored. We have created a marine culture collection of heterotrophic bacteria (MARINHET) using a standard marine medium comprising a total of 1561 bacterial strains, and covering a variety of oceanographic regions from different seasons and years, from 2009 to 2015. Specifically, our marine collection contains isolates from both photic (817) and aphotic layers (744), including the mesopelagic (362) and the bathypelagic (382), from the North Western Mediterranean Sea, the North and South Atlantic Ocean, the Indian, the Pacific, and the Arctic Oceans. We described the taxonomy, the phylogenetic diversity and the biogeography of a fraction of the marine culturable microorganisms to enhance our knowledge about which heterotrophic marine isolates are recurrently retrieved across oceans and along different depths. Results The partial sequencing of the 16S rRNA gene of all isolates revealed that they mainly affiliate with the classes Alphaproteobacteria (35.9%), Gammaproteobacteria (38.6%), and phylum Bacteroidetes (16.5%). In addition, Alteromonas and Erythrobacter genera were found the most common heterotrophic bacteria in the ocean growing in solid agar medium. When comparing all photic, mesopelagic, and bathypelagic isolates sequences retrieved from different stations, 37% of them were 100% identical. This percentage increased up to 59% when mesopelagic and bathypelagic strains were grouped as the aphotic dataset and compared to the photic dataset of isolates, indicating the ubiquity of some bacterial isolates along different ocean depths. Finally, we isolated three strains that represent a new species, and the genome comparison and phenotypic characterization of two of these strains (ISS653 and ISS1889) concluded that they belong to a new species within the genus Mesonia. Conclusions Overall, this study highlights the relevance of culture-dependent studies, with focus on marine isolated bacteria from different oceanographic regions and depths, to provide a more comprehensive view of the culturable marine bacteria as part of the total marine microbial diversity.
    Citation
    Sanz-Sáez, I., Salazar, G., Sánchez, P., Lara, E., Royo-Llonch, M., Sà, E. L., Lucena, T., Pujalte, M. J., Vaqué, D., Duarte, C. M., Gasol, J. M., Pedrós-Alió, C., Sánchez, O., & Acinas, S. G. (2020). Diversity and distribution of marine heterotrophic bacteria from a large culture collection. figshare. https://doi.org/10.6084/M9.FIGSHARE.C.5058382.V1
    Publisher
    figshare
    DOI
    10.6084/m9.figshare.c.5058382.v1
    Relations
    Is Supplement To:
    • [Article]
      Sanz-Sáez, I., Salazar, G., Sánchez, P., Lara, E., Royo-Llonch, M., Sà, E. L., … Acinas, S. G. (2020). Diversity and distribution of marine heterotrophic bacteria from a large culture collection. BMC Microbiology, 20(1). doi:10.1186/s12866-020-01884-7. DOI: 10.1186/s12866-020-01884-7 HANDLE: 10754/664251
    ae974a485f413a2113503eed53cd6c53
    10.6084/m9.figshare.c.5058382.v1
    Scopus Count
    Collections
    Biological and Environmental Science and Engineering (BESE) Division; Red Sea Research Center (RSRC); Marine Science Program; Datasets

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