Impacts of microbial assemblage and environmental conditions on the distribution of anatoxin-a producing cyanobacteria within a river network
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 inmore »
- Authors:
-
- Univ. of California, Berkeley, CA (United States)
- Univ. of California, Berkeley, CA (United States); Univ. of Duisburg-Essen, Essen (Germany)
- Univ. of California, Berkeley, CA (United States); Univ. of Wisconsin, Madison, WI (United States)
- Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Chan Zuckerberg Biohub, San Francisco, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- National Institutes of Health (NIH); USDOE
- OSTI Identifier:
- 1564043
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- The ISME Journal
- Additional Journal Information:
- Journal Volume: 13; Journal Issue: 6; Journal ID: ISSN 1751-7362
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Bouma-Gregson, Keith, Olm, Matthew R., Probst, Alexander J., Anantharaman, Karthik, Power, Mary E., and Banfield, Jillian F. Impacts of microbial assemblage and environmental conditions on the distribution of anatoxin-a producing cyanobacteria within a river network. United States: N. p., 2019.
Web. doi:10.1038/s41396-019-0374-3.
Bouma-Gregson, Keith, Olm, Matthew R., Probst, Alexander J., Anantharaman, Karthik, Power, Mary E., & Banfield, Jillian F. Impacts of microbial assemblage and environmental conditions on the distribution of anatoxin-a producing cyanobacteria within a river network. United States. https://doi.org/10.1038/s41396-019-0374-3
Bouma-Gregson, Keith, Olm, Matthew R., Probst, Alexander J., Anantharaman, Karthik, Power, Mary E., and Banfield, Jillian F. Tue .
"Impacts of microbial assemblage and environmental conditions on the distribution of anatoxin-a producing cyanobacteria within a river network". United States. https://doi.org/10.1038/s41396-019-0374-3. https://www.osti.gov/servlets/purl/1564043.
@article{osti_1564043,
title = {Impacts of microbial assemblage and environmental conditions on the distribution of anatoxin-a producing cyanobacteria within a river network},
author = {Bouma-Gregson, Keith and Olm, Matthew R. and Probst, Alexander J. and Anantharaman, Karthik and Power, Mary E. and Banfield, Jillian F.},
abstractNote = {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.},
doi = {10.1038/s41396-019-0374-3},
journal = {The ISME Journal},
number = 6,
volume = 13,
place = {United States},
year = {Tue Feb 26 00:00:00 EST 2019},
month = {Tue Feb 26 00:00:00 EST 2019}
}
Web of Science
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Works referencing / citing this record:
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