Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Substantial microbial community shifts in response to an exceptional harmful algal bloom in coastal Southern California

Bibliographic Data

ID19569144
AuthorsJesse M Wilson (0000-0003-2837-2060, Scripps Institution of Oceanography), Natalia Erazo (0000-0002-7498-0860, Scripps Institution of Oceanography), Elizabeth Connors (0000-0002-4992-4218, Scripps Institution of Oceanography), Emelia J Chamberlain (0000-0003-2218-3488, Scripps Institution of Oceanography), Samantha M Clements (0000-0003-3094-2173, Scripps Institution of Oceanography), Melissa Carter (0000-0002-3458-4775), Melissa L Carter (Scripps Institution of Oceanography), Jennifer E Smith (0000-0002-4516-6931, Scripps Institution of Oceanography), James S Bowman (0000-0002-8811-6280, Scripps Institution of Oceanography), Jeff S Bowman
Year2022
Volume10
Issue1
Publication date2022-08-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueElementa Science of the Anthropocene (JOURNAL)
Journal identifiersISSN: 2325-1026 • E-ISSN: 2325-1026
PublisherUniversity of California Press (PUBLISHER • US)
DOI10.1525/elementa.2021.00088
OpenAlexW4293584195
LanguageEN
Citations received3
References cited69

Phytoplankton blooms create organic matter that stimulates entire marine ecosystems, including other components of the microbial community. How the ecosystem responds varies depending on the intensity, duration, and composition of the bloom. When the bloom has a direct or indirect negative impact on the ecosystem, it is termed a harmful algal bloom (HAB). HAB frequency is expected to increase in response to changing oceanic conditions and coastal nutrient supply. Characterizing the response of the bacterial and archaeal communities to HABs will improve our understanding of the ecological impacts of these phenomena. We utilized time series of chlorophyll a, phaeophytin, dissolved oxygen, flow cytometry cell counts, and microbial community structure (assessed via 16S rRNA gene sequences) maintained by several observing programs to investigate how the microbial community was affected by an exceptional bloom of Lingulodinium polyedra in coastal Southern California. These multi-year datasets allowed us to compare the microbial community response to past events, such as a smaller L. polyedra bloom the previous year. We demonstrated that the bacterial and archaeal response to the 2020 bloom was unique taxonomically, with many novel heterotrophs, and higher trophic state variance. The measured heterotrophic response to the bloom resulted in massive oxygen drawdown and may have impacted the length of the bloom and contributed to a secondary diatom bloom following the main HAB event. Taken together, these data illustrate how the massive 2020 L. polyedra bloom created unique ecological conditions for coastal Southern California

Algal bloom · Biology · Bloom · Diatom · Ecosystem · Marine ecosystem · Microbial loop · Microbial population biology · Nutrient · Phytoplankton · Trophic level · Environmental Science · Marine and coastal ecosystems · Marine Biology and Ecology Research · Microbial Community Ecology and Physiology · Ecology · Geology · Oceanography

  • Organismal responses to deteriorating water quality during the historic 2020 red tide off Southern California

    Open Access•Zachary R Skelton, Lillian R McCormick et al.•Elementa Science of the…•2024

  • Estimate of net heterotrophic status of the littoral Southern California Bight ecosystem from a dissolved oxygen time series

    Open Access•Riley J Hale, Jim Wilson et al.•Elementa Science of the…•2026

  • Yessotoxin production and aerosolization during the unprecedented red tide of 2020 in southern California

    Open Access•Eva Ternon, Melissa L Carter et al.•Elementa Science of the…•2023

  • Early-warning signals for critical transitions

    Open Access•Marten Scheffer, Jordi Bascompte et al.•Nature•2009

  • Wgcna

    Open Access•Peter Langfelder, Steve Horvath•BMC Bioinformatics•2008

  • Anticipating Critical Transitions

    Open Access•Marten Scheffer, R Carpenter et al.•Science•2012

  • Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy

    Open Access•Qiong Wang, Wang Qiong et al.•Applied and Environmental…•2007

  • Dada2

    Open Access•Benjamin J Callahan, Paul J McMurdie et al.•Nature Methods•2016

Unique citing works3
Citations per year1
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae