Evidence map›Paper›PMID 30809011›Full record

ArticleThe ISME journal2019

Impacts of microbial assemblage and environmental conditions on the distribution of anatoxin-a producing cyanobacteria within a river network.

Keith Bouma-Gregson, Matthew R Olm, Alexander J Probst, Karthik Anantharaman, Mary E Power, Jillian F Banfield

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 89 citations in OpenAlex.

  1. Spatiotemporal dynamics of benthicFrontiers in microbiology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. A cohesiveWater research X · 2024
    Article
  7. Lethal cyanobacteria are creeping into rivers-no one knows exactly why.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Viruses · 2023
    Article
  13. Article
  14. Article
  15. Toxins · 2022
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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 at 3 institutions in 2 countries.

Keith Bouma-GregsonDepartment of Integrative Biology, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-0304-6034
Matthew R OlmDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Alexander J ProbstDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-9392-6544
Karthik AnantharamanDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-9584-2491
Mary E PowerDepartment of Integrative Biology, University of California, Berkeley, CA, USA.
Jillian F BanfieldDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA. jbanfield@berkeley.edu.ORCID http://orcid.org/0000-0001-8203-8771
Planetary Science Institute · USAcupuncture & Integrative Medicine College · USUniversity of California, Berkeley · US

Funding

Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
NIH HHS S10 OD018174
6 · The paper itself

Abstract

Blooms of planktonic cyanobacteria have long been of concern in lakes, but more recently, harmful impacts of riverine benthic cyanobacterial mats been recognized. As yet, we know little about how various benthic cyanobacteria are distributed in river networks, or how environmental conditions or other associated microbes in their consortia affect their biosynthetic capacities. We performed metagenomic sequencing for 22 Oscillatoriales-dominated (Cyanobacteria) microbial mats collected across the Eel River network in Northern California and investigated factors associated with anatoxin-a producing cyanobacteria. All microbial communities were dominated by one or two cyanobacterial species, so the key mat metabolisms involve oxygenic photosynthesis and carbon oxidation. Only a few metabolisms fueled the growth of the mat communities, with little evidence for anaerobic metabolic pathways. We genomically defined four cyanobacterial species, all which shared <96% average nucleotide identity with reference Oscillatoriales genomes and are potentially novel species in the genus Microcoleus. One of the Microcoleus species contained the anatoxin-a biosynthesis genes, and we describe the first anatoxin-a gene cluster from the Microcoleus clade within Oscillatoriales. Occurrence of these four Microcoleus species in the watershed was correlated with total dissolved nitrogen and phosphorus concentrations, and the species that contains the anatoxin-a gene cluster was found in sites with higher nitrogen concentrations. Microbial assemblages in mat samples with the anatoxin-a gene cluster consistently had a lower abundance of Burkholderiales (Betaproteobacteria) species than did mats without the anatoxin-producing genes. The associations of water nutrient concentrations and certain co-occurring microbes with anatoxin-a producing Microcoleus motivate further exploration for their roles as potential controls on the distributions of toxigenic benthic cyanobacteria in river networks.

Indexed as

CaliforniaCyanobacteriaCyanobacteria ToxinsLakesMetagenomicsNitrogenPhosphorusPhylogenyRiversTropanesanatoxin aCyanobacteria ToxinsNitrogenPhosphorusTropanes

Identifiers

PMID30809011
PMCPMC6776057
OpenAlexW2917842425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.