Diversity, distribution and ecology of fungal communities present in Antarctic lake sediments uncovered by DNA metabarcoding.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 05 2022
Historique:
received: 09 01 2022
accepted: 29 04 2022
entrez: 19 5 2022
pubmed: 20 5 2022
medline: 24 5 2022
Statut: epublish

Résumé

We assessed fungal diversity in sediments obtained from four lakes in the South Shetland Islands and James Ross Island, Antarctica, using DNA metabarcoding. We detected 218 amplicon sequence variants (ASVs) dominated by the phyla Ascomycota, Basidiomycota, Mortierellomycota, Mucoromycota and Chytridiomycota. In addition, the rare phyla Aphelidiomycota, Basidiobolomycota, Blastocladiomycota, Monoblepharomycota, Rozellomycota and Zoopagomycota as well as fungal-like Straminopila belonging to the phyla Bacillariophyta and Oomycota were detected. The fungal assemblages were dominated by unknown fungal taxa (Fungal sp. 1 and Fungal sp. 2), followed by Talaromyces rubicundus and Dactylonectria anthuriicola. In general, they displayed high diversity, richness and moderate dominance. Sequences representing saprophytic, pathogenic and symbiotic fungi were detected, including the phytopathogenic fungus D. anthuriicola that was abundant, in the relatively young Soto Lake on Deception Island. The lake sediments studied contained the DNA of rich, diverse and complex fungal communities, including both fungi commonly reported in Antarctica and other taxa considered to be rare. However, as the study was based on the use of environmental DNA, which does not unequivocally confirm the presence of active or viable organisms, further studies using other approaches such as shotgun sequencing are required to elucidate the ecology of fungi in these Antarctic lake sediments.

Identifiants

pubmed: 35589789
doi: 10.1038/s41598-022-12290-6
pii: 10.1038/s41598-022-12290-6
pmc: PMC9120451
doi:

Substances chimiques

DNA, Fungal 0
DNA 9007-49-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

8407

Informations de copyright

© 2022. The Author(s).

Références

Gonçalves, V. N. et al. Diversity and distribution of fungal communities in lakes of Antarctica. FEMS Microbiol. Ecol. 82, 459–471 (2012).
pubmed: 22671312 doi: 10.1111/j.1574-6941.2012.01424.x
Convey, P. Antarctic ecosystems. In Encyclopedia of Biodiversity (ed. Levin, S. A.) 179–187 (Elsevier, Amsterdam, 2017).
Vincent, W. F. Evolutionary origins of Antarctic microbiota: invasion, selection and endemism. Antarct. Sci. 12, 374–385 (2000).
doi: 10.1017/S0954102000000420
Izaguirre, I., Mataloni, G., Vinocur, A. & Tell, G. Temporal and spatial variations of phytoplankton from Boeckella lake (Hope Bay, Antarctic Peninsula). Antarct. Sci. 5, 137–141 (1993).
doi: 10.1017/S0954102093000197
Ellis-Evans, J. C. Microbial diversity and function in Antarctic freshwater ecosystems. Biodivers. Conserv. 5, 1395–1431 (1996).
doi: 10.1007/BF00051985
Ogaki, M. B. et al. Diversity and ecology of fungal assemblages present in lakes of Antarctica. In Fungi of Antarctica: Diversity, Ecology and Biotechnological Applications (ed. Rosa, L. H.) 69–97 (Springer, Berlin, 2019).
Chaparro, M. et al. Sedimentary analysis and magnetic properties of Lake Anónima, Vega Island. Antarct. Sci. 29, 429–444 (2017).
doi: 10.1017/S0954102017000116
Ogaki, M. B. et al. Diversity, ecology, and bioprospecting of culturable fungi in lakes impacted by anthropogenic activities in Maritime Antarctica. Extremophiles 24, 637–655 (2020).
pubmed: 32533308 doi: 10.1007/s00792-020-01183-z
Brunati, M. et al. Diversity and pharmaceutical screening of fungi from benthic mats of Antarctic lakes. Mar. Gen. 2, 43–50 (2009).
doi: 10.1016/j.margen.2009.04.002
Quesada, A., Camacho, A., Rochera, C. & Velázquez, D. Byers Peninsula: A reference site for coastal, terrestrial land limnetic ecosystem studies in maritime Antarctica. Polar Sci. 3, 181–187 (2009).
doi: 10.1016/j.polar.2009.05.003
Vaz, A. B. M. et al. The diversity, extracellular enzymatic activities and photoprotective compounds of yeasts isolated in Antarctica. Braz. J. Microbiol. 42, 937–947 (2011).
pubmed: 24031709 pmcid: 3768797 doi: 10.1590/S1517-83822011000300012
Ogaki, M. B. et al. Diversity and bioprospecting of cultivable fungal assemblages in sediments of lakes in the Antarctic Peninsula. Fungal Biol. 124, 601–611 (2020).
pubmed: 32448451 doi: 10.1016/j.funbio.2020.02.015
de Souza, L. D. et al. Assessment of fungal diversity present in lakes of Maritime Antarctica using DNA metabarcoding: a temporal microcosm experiment. Extremophiles 25, 77–84 (2021).
pubmed: 33416982 doi: 10.1007/s00792-020-01212-x
Ogaki, M. B. et al. Diversity of fungal DNA in lake sediments on Vega Island, north-east Antarctic Peninsula assessed using DNA metabarcoding. Extremophiles 25, 257–265 (2021).
pubmed: 33837855 doi: 10.1007/s00792-021-01226-z
Rosa, L. H. et al. Fungal diversity in a sediment core from climate change impacted Boeckella Lake, Hope Bay, north-eastern Antarctic Peninsula assessed using metabarcoding. Extremophiles 26, 1–10 (2022).
doi: 10.1007/s00792-022-01264-1
Embrapa, S. Manual de métodos de análise de solo 3rd edn. (Centro Nacional de Pesquisa de Solos, 2017).
Chen, S. et al. Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species. PLoS ONE 5, e8613 (2010).
pubmed: 20062805 pmcid: 2799520 doi: 10.1371/journal.pone.0008613
Richardson, R. T. et al. Application of ITS2 metabarcoding to determine the provenance of pollen collected by honey bees in an agroecosystem. Appl. Plant Sci. 3, 1400066 (2015).
doi: 10.3732/apps.1400066
White, T. J. et al. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In PCR Protocols: A Guide to Methods and Applications (ed Innis, M. A., Gelfand, D.H., Sninsky, J.J., White, T.J.) 315–322 (1990).
Bushnell, B. “BBMap: a fast, accurate, splice-aware aligner”. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). https://sourceforge.net/projects/bbmap (2014).
Bolyen, E. et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 37, 852–857 (2019).
pubmed: 31341288 pmcid: 7015180 doi: 10.1038/s41587-019-0209-9
Callahan, B. J. et al. DADA2: high-resolution sample inference from Illumina amplicon data. Nat. Methods. 13, 581–583 (2016).
pubmed: 27214047 pmcid: 4927377 doi: 10.1038/nmeth.3869
Bokulich, N. A. et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome. 6, 90 (2018).
pubmed: 29773078 pmcid: 5956843 doi: 10.1186/s40168-018-0470-z
Abarenkov, K. et al. UNITE QIIME release for eukaryotes. Version 04.02.2020. UNITE Community. doi: https://doi.org/10.15156/BIO/786386 (2020).
Camacho, C. et al. BLAST+: architecture and applications. BMC Bioinform. 10, 1–9 (2009).
doi: 10.1186/1471-2105-10-421
Huson, D. H. et al. MEGAN community edition-interactive exploration and analysis of large-scale microbiome sequencing data. PLoS Comput. Biol. 12, e1004957 (2016).
pubmed: 27327495 pmcid: 4915700 doi: 10.1371/journal.pcbi.1004957
Ondov, B. D., Bergman, N. H. & Phillippy, A. M. Interactive metagenomic visualization in a web browser. BMC Bioinform. 12, 385 (2011).
doi: 10.1186/1471-2105-12-385
Babicki, S. et al. Heatmapper: web-enabled heat mapping for all. Nucl. Acids Res. 44, 147–153 (2016).
doi: 10.1093/nar/gkw419
Medinger, R. et al. Diversity in a hidden world: potential and limitation of next-generation sequencing for surveys of molecular diversity of eukaryotic microorganisms. Mol. Ecol. 19, 32–40 (2010).
pubmed: 20331768 pmcid: 2953707 doi: 10.1111/j.1365-294X.2009.04478.x
Weber, A. A. & Pawlowski, J. Can abundance of protists be inferred from sequence data: a case study of Foraminifera. PLoS ONE 8, e56739 (2013).
pubmed: 23431390 pmcid: 3576339 doi: 10.1371/journal.pone.0056739
Giner, C. R. et al. Environmental sequencing provides reasonable estimates of the relative abundance of specific picoeukaryotes. Appl. Environ. Microbiol. 82, 4757–4766 (2016).
pubmed: 27235440 pmcid: 4984273 doi: 10.1128/AEM.00560-16
Deiner, K. et al. Environmental DNA metabarcoding: transforming how we survey animal and plant communities. Mol. Ecol. 26, 5872–5895 (2017).
pubmed: 28921802 doi: 10.1111/mec.14350
Hering, D. et al. Implementation options for DNA-based identification into ecological status assessment under the European Water Framework Directive. Water Res. 138, 192–205 (2018).
pubmed: 29602086 doi: 10.1016/j.watres.2018.03.003
Kirk, P. M., Cannon, P. F., Minter, D. W. & Stalpers, J. A. Dictionary of the Fungi, 10th ed., CAB International, Wallingford, UK, p. 784 (2008).
Tedersoo, L. et al. High-level classification of the Fungi and a tool for evolutionary ecological analyses. Fungal Div. 90, 135–159 (2018).
doi: 10.1007/s13225-018-0401-0
Rosa, L. H. et al. DNA metabarcoding to assess the diversity of airborne fungi present in air over Keller Peninsula, King George Island, Antarctica. Microb. Ecol. 82, 165–172 (2020).
pubmed: 33161522 doi: 10.1007/s00248-020-01627-1
Hammer, Ø., Harper, D. A. T. & Ryan, P. D. PAST: paleontological statistics software package for education and data analysis. Palaeontol. Electron. 4, 9 (2001).
Nguyen, N. H. et al. FUNGuild: an open annotation tool for parsing fungal community datasets by ecological guild. Fungal Ecol. 20, 241–248 (2016).
doi: 10.1016/j.funeco.2015.06.006
Ellis-Evans, J. C. Fungi from maritime Antarctic freshwater environments. Br. Antartic Surv. B. 68, 37–45 (1985).
da Silva, T. H. et al. Diversity, distribution, and ecology of viable fungi in permafrost and active layer of Maritime Antarctica. Extremophiles 24, 565–576 (2020).
pubmed: 32405812 doi: 10.1007/s00792-020-01176-y
Benjamin, C. R. Ascocarps of Aspergillus and Penicillium. Mycologia 47, 669–687 (1955).
doi: 10.1080/00275514.1955.12024485
Yilmaz, N., Visagie, C. M., Houbraken, J., Frisvad, J. C. & Samson, R. A. Polyphasic taxonomy of the genus. Talaromyces. Stud. Mycol. 78, 175–341 (2014).
pubmed: 25492983 doi: 10.1016/j.simyco.2014.08.001
Rosa, L. H. et al. Fungi in Antarctica: diversity, ecology, effects of climate change, and bioprospection for bioactive compounds. In Fungi of Antarctica: Diversity, Ecology and Biotechnological Applications (ed. Rosa, L. H.) 1–18 (Springer, Berlin, 2019).
Miller, J. H., Giddens, J. E. & Foster, A. A. A survey of the fungi of forest and cultivated soils of Georgia. Mycologia 49, 779–808 (1957).
doi: 10.1080/00275514.1957.12024692
Lombard, L., Van Der Merwe, N., Groenewald, J. & Crous, P. Lineages in Nectriaceae: Re-evaluating the generic status of Ilyonectria and allied genera. Phytopathol. Mediterr. 53, 515–532 (2014).
Cabral, A., Groenewald, J. Z., Rego, C., Oliveira, H. & Crous, P. W. Cylindrocarpon root rot: multi-gene analysis reveals novel species within the Ilyonectria radicicola species complex. Mycol. Prog. 11, 655–688 (2012).
doi: 10.1007/s11557-011-0777-7
Parkinson, L., Shivas, R. G. & Dann, E. K. Pathogenicity of Nectriaceus fungi on avocado in Australia. Phytopathology 107, 1479–1485 (2017).
pubmed: 28723243 doi: 10.1094/PHYTO-03-17-0084-R
Brady, N. C. & Weil, R. R. The nature and properties of soils (Pearson Prentice Hall, Upper Saddle River, 2008).
Rodrigues, W. F., de Oliveira Soares, F., Schaefer, C. E. G., Leite, M. G. P. & Pavinato, P. S. Phosphatization under birds’ activity: ornithogenesis at different scales on Antarctic soilscapes. Geoderma 391, 114950 (2021).
doi: 10.1016/j.geoderma.2021.114950
Rosa, L. H. et al. DNA metabarcoding of fungal diversity in air and snow of Livingston Island, South Shetland Islands, Antarctica. Sci. Rep. 10, 1–11 (2020).
doi: 10.1038/s41598-020-78630-6
Rosa, L. H. et al. DNA metabarcoding uncovers fungal diversity in soils of protected and non-protected areas on Deception Island, Antarctica. Sci. Rep. 10, 1–9 (2020).
doi: 10.1038/s41598-020-78934-7
de Menezes, G. C. A. et al. Fungal diversity present on rocks from a polar desert in continental Antarctica assessed using DNA metabarcoding. Extremophiles 25, 193–202 (2021).
pubmed: 33651232 doi: 10.1007/s00792-021-01221-4
Schütte, U. M. et al. Effect of permafrost thaw on plant and soil fungal community in a boreal forest: Does fungal community change mediate plant productivity response?. J. Ecol. 107, 1737–1752 (2019).
doi: 10.1111/1365-2745.13139

Auteurs

Láuren Machado Drumond de Souza (LMD)

Laboratório de Microbiologia Polar e Conexões Tropicais, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, P. O. Box 486, Belo Horizonte, MG, 31270-901, Brazil.

Juan Manuel Lirio (JM)

Instituto Antártico Argentino, Buenos Aires, Argentina.

Silvia Herminda Coria (SH)

Instituto Antártico Argentino, Buenos Aires, Argentina.

Fabyano Alvares Cardoso Lopes (FAC)

Laboratório de Microbiologia, Universidade Federal do Tocantins, Porto Nacional, Brasil.

Peter Convey (P)

British Antarctic Survey, NERC, High Cross, Madingley Road, Cambridge, CB3 0ET, UK.
Department of Zoology, University of Johannesburg, PO Box 524, Auckland Park, 2006, South Africa.

Micheline Carvalho-Silva (M)

Departamento de Botânica, Universidade de Brasília, Brasília, Brasil.

Fábio Soares de Oliveira (FS)

Departamento de Geografia, Universidade Federal de Minas, Gerais, Belo Horizonte, MG, Brasil.

Carlos Augusto Rosa (CA)

Laboratório de Microbiologia Polar e Conexões Tropicais, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, P. O. Box 486, Belo Horizonte, MG, 31270-901, Brazil.

Paulo Eduardo Aguiar Saraiva Câmara (PEAS)

Departamento de Botânica, Universidade de Brasília, Brasília, Brasil.

Luiz Henrique Rosa (LH)

Laboratório de Microbiologia Polar e Conexões Tropicais, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, P. O. Box 486, Belo Horizonte, MG, 31270-901, Brazil. lhrosa@icb.ufmg.br.

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