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Published November 2018 | Supplemental Material + Submitted + Published
Journal Article Open

Metabolic Capability and Phylogenetic Diversity of Mono Lake during a Bloom of the Eukaryotic Phototroph Picocystis sp. Strain ML

Abstract

Algal blooms in lakes are often associated with anthropogenic eutrophication; however, they can occur without the human introduction of nutrients to a lake. A rare bloom of the alga Picocystis sp. strain ML occurred in the spring of 2016 at Mono Lake, a hyperalkaline lake in California, which was also at the apex of a multiyear-long drought. These conditions presented a unique sampling opportunity to investigate microbiological dynamics and potential metabolic function during an intense natural algal bloom. We conducted a comprehensive molecular analysis along a depth transect near the center of the lake from the surface to a depth of 25 m in June 2016. Across sampled depths, rRNA gene sequencing revealed that Picocystis-associated chloroplasts were found at 40 to 50% relative abundance, greater than values recorded previously. Despite high relative abundances of the photosynthetic oxygenic algal genus Picocystis, oxygen declined below detectable limits below a depth of 15 m, corresponding with an increase in microorganisms known to be anaerobic. In contrast to previously sampled years, both metagenomic and metatranscriptomic data suggested a depletion of anaerobic sulfate-reducing microorganisms throughout the lake's water column. Transcripts associated with photosystem I and II were expressed at both 2 m and 25 m, suggesting that limited oxygen production could occur at extremely low light levels at depth within the lake. Blooms of Picocystis appear to correspond with a loss of microbial activity such as sulfate reduction within Mono Lake, yet microorganisms may survive within the sediment to repopulate the lake water column as the bloom subsides.

Additional Information

© 2018 Stamps et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license. Received 29 May 2018 Accepted 4 August 2018. Accepted manuscript posted online 17 August 2018. We thank all participants from the 2016 International GeoBiology Course and the Agouron Institute for course funding. Ann Close and Amber Brown of the University of Southern California were critical in logistics of the 2016 course and beyond. We thank Tom Crowe for access to his well and for transport on Mono Lake. Sequence data were generated by the Oklahoma Medical Research Foundation. The University of Oklahoma Supercomputing Center for Education and Research (OSCER) provided archival storage prior to sequence data submission to the NCBI Sequence Read Archive. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), including the SDSC Comet and the TACC/IU Jetstream clusters under allocation ID TG-BIO180010, which is supported by National Science Foundation grant number ACI-1548562. A California State Parks permit to the U.S. Geological Survey and Geobiology 2016 allowed us to conduct sampling on and around Mono Lake. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Attached Files

Published - e01171-18.full.pdf

Submitted - 334144.full.pdf

Supplemental Material - zam021188811s4.pdf

Supplemental Material - zam021188811sd1.xlsx

Supplemental Material - zam021188811sd2.xlsx

Supplemental Material - zam021188811sd3.xlsx

Supplemental Material - zam021188811sd5.xlsx

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Additional details

Created:
August 19, 2023
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