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      Marine Fungal Diversity and Dynamics in the Gulf of Trieste (Northern Adriatic Sea)

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          Abstract

          Fungi contribute to different important ecological processes, including decomposition of organic matter and nutrient cycling, but in the marine environment the main factors influencing their diversity and dynamics at the spatial and temporal levels are still largely unclear. In this study, we performed DNA metabarcoding on seawater sampled monthly over a year and a half in the Gulf of Trieste (northern Adriatic Sea), targeting the internal transcribed spacer (ITS) and the 18S rRNA gene regions. The fungal communities were diverse, very dynamic, and belonged predominantly to marine taxa. Samples could be clustered in two groups, mainly based on the high (> 30%) or low relative proportion of the ascomycetes Parengyodontium album, which emerged as a key taxon in this area. Dissolved and particulate organic C:N ratio played important roles in shaping the mycoplankton assemblages, suggesting that differently bioavailable organic matter pools may be utilized by different consortia. The proportion of fungal over total reads was 31% for ITS and 0.7% for 18S. ITS had the highest taxonomic resolution but low power to detect early divergent fungal lineages. Our results on composition, distribution, and environmental drivers extended our knowledge of the structure and function of the mycobiome of coastal waters.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00248-024-02394-z.

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          The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

          SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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            Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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              Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

              S Altschul (1997)
              The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
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                Author and article information

                Contributors
                ebanchi@ogs.it
                Journal
                Microb Ecol
                Microb Ecol
                Microbial Ecology
                Springer US (New York )
                0095-3628
                1432-184X
                29 May 2024
                29 May 2024
                2024
                : 87
                : 1
                : 78
                Affiliations
                [1 ]National Institute of Oceanography and Applied Geophysics (OGS), ( https://ror.org/04y4t7k95) Trieste, Italy
                [2 ]NBFC, National Biodiversity Future Center, Palermo, Italy
                [3 ]Department of Life Sciences, University of Trieste, ( https://ror.org/02n742c10) Trieste, Italy
                Author information
                http://orcid.org/0000-0002-6598-0447
                http://orcid.org/0000-0002-9532-1485
                http://orcid.org/0000-0003-0390-6169
                http://orcid.org/0000-0002-5660-6832
                Article
                2394
                10.1007/s00248-024-02394-z
                11133070
                38806848
                9b6582cf-d12e-496e-9557-35a1016171d6
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 February 2024
                : 20 May 2024
                Funding
                Funded by: Istituto Nazionale di Oceanografia e di Geofisica Sperimentale
                Categories
                Research
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2024

                Microbiology & Virology
                amplicon sequencing,dna metabarcoding,mycoplankton,parengyodontium album

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