Evidence map›Paper›PMID 39030632›Full record

ArticleMicrobiome2024

Time-series metagenomics reveals changing protistan ecology of a temperate dimictic lake.

Arianna I Krinos, Robert M Bowers, Robin R Rohwer, Katherine D McMahon, Tanja Woyke, Frederik Schulz

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  7. A genomic view of Earth's biomes.Nature reviews. Genetics · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Arianna I KrinosDepartment of Biology, Woods Hole Oceanographic Institution, Woods Hole, MA, USA. akrinos@whoi.edu.
Robert M BowersJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Robin R RohwerDepartment of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
Katherine D McMahonDepartment of Bacteriology, University of Wisconsin at Madison, Madison, WI, USA.
Tanja WoykeJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Frederik SchulzJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. fschulz@lbl.gov.

Funding

National Science Foundation 2011002U.S. Department of Agriculture WIS01516U.S. Department of Energy DE-AC02-05CH11231U.S. Department of Energy SC0020347U.S. National Science Foundation DEB-9632853
6 · The paper itself

Abstract

backgroundProtists, single-celled eukaryotic organisms, are critical to food web ecology, contributing to primary productivity and connecting small bacteria and archaea to higher trophic levels. Lake Mendota is a large, eutrophic natural lake that is a Long-Term Ecological Research site and among the world's best-studied freshwater systems. Metagenomic samples have been collected and shotgun sequenced from Lake Mendota for the last 20 years. Here, we analyze this comprehensive time series to infer changes to the structure and function of the protistan community and to hypothesize about their interactions with bacteria.

resultsBased on small subunit rRNA genes extracted from the metagenomes and metagenome-assembled genomes of microeukaryotes, we identify shifts in the eukaryotic phytoplankton community over time, which we predict to be a consequence of reduced zooplankton grazing pressures after the invasion of a invasive predator (the spiny water flea) to the lake. The metagenomic data also reveal the presence of the spiny water flea and the zebra mussel, a second invasive species to Lake Mendota, prior to their visual identification during routine monitoring. Furthermore, we use species co-occurrence and co-abundance analysis to connect the protistan community with bacterial taxa. Correlation analysis suggests that protists and bacteria may interact or respond similarly to environmental conditions. Cryptophytes declined in the second decade of the timeseries, while many alveolate groups (e.g., ciliates and dinoflagellates) and diatoms increased in abundance, changes that have implications for food web efficiency in Lake Mendota.

conclusionsWe demonstrate that metagenomic sequence-based community analysis can complement existing efforts to monitor protists in Lake Mendota based on microscopy-based count surveys. We observed patterns of seasonal abundance in microeukaryotes in Lake Mendota that corroborated expectations from other systems, including high abundance of cryptophytes in winter and diatoms in fall and spring, but with much higher resolution than previous surveys. Our study identified long-term changes in the abundance of eukaryotic microbes and provided context for the known establishment of an invasive species that catalyzes a trophic cascade involving protists. Our findings are important for decoding potential long-term consequences of human interventions, including invasive species introduction. Video Abstract.

Indexed as

BacteriaLakesMetagenomicsAnimalsEukaryotaFood ChainMetagenomePhytoplanktonZooplanktonCommunity ecologyMetagenomicsProtistan ecologyrRNA

Identifiers

PMID39030632
PMCPMC11265017

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.