Evidence map›Paper›PMID 38856205›Full record

ArticlemSystems2024

Microbial diversity, genomics, and phage-host interactions of cyanobacterial harmful algal blooms.

Lauren E Krausfeldt, Elizaveta Shmakova, Hyo Won Lee, Viviana Mazzei, Keith A Loftin, Robert P Smith, Emily Karwacki, P Eric Fortman, Barry H Rosen, Hidetoshi Urakawa and 3 more

Abstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

13 authors.

Lauren E KrausfeldtDepartment of Biological Sciences, Guy Harvey Oceanographic Center, Nova Southeastern University, Dania Beach, Florida, USA.ORCID 0000-0001-7405-427X
Elizaveta ShmakovaDepartment of Biological Sciences, Guy Harvey Oceanographic Center, Nova Southeastern University, Dania Beach, Florida, USA.
Hyo Won LeeDepartment of Biological Sciences, Guy Harvey Oceanographic Center, Nova Southeastern University, Dania Beach, Florida, USA.
Viviana MazzeiU.S. Geological Survey, Caribbean-Florida Water Science Center, Orlando, Florida, USA.ORCID 0000-0001-8614-0693
Keith A LoftinU.S. Geological Survey, Kansas Water Science Center, Lawrence, Kansas, USA.ORCID 0000-0001-5291-876X
Robert P SmithDepartment of Biological Sciences, Guy Harvey Oceanographic Center, Nova Southeastern University, Dania Beach, Florida, USA.ORCID 0000-0003-2744-7390
Emily KarwackiU.S. Geological Survey, Caribbean-Florida Water Science Center, Orlando, Florida, USA.
P Eric FortmanDepartment of Biological Sciences, Guy Harvey Oceanographic Center, Nova Southeastern University, Dania Beach, Florida, USA.
Barry H RosenDepartment of Ecology and Environmental Studies, Florida Gulf Coast University, Fort Myers, Florida, USA.ORCID 0000-0002-8016-3939
Hidetoshi UrakawaDepartment of Ecology and Environmental Studies, Florida Gulf Coast University, Fort Myers, Florida, USA.ORCID 0000-0003-3748-6027
Manoj DadlaniCosmosID, Rockville, Maryland, USA.ORCID 0000-0002-8223-7006
Rita R ColwellInstitute for Advanced Computer Studies, University of Maryland College Park, College Park, Maryland, USA.ORCID 0000-0001-5432-1502
Jose V LopezDepartment of Biological Sciences, Guy Harvey Oceanographic Center, Nova Southeastern University, Dania Beach, Florida, USA.ORCID 0000-0002-1637-4125

Funding

DOD | USA | U.S. Army Corps of Engineers (USACE) W912HZ-19-2-0014USGS Environmental Health Program
6 · The paper itself

Abstract

The occurrence of cyanobacterial harmful algal blooms (cyanoHABs) is related to their physical and chemical environment. However, less is known about their associated microbial interactions and processes. In this study, cyanoHABs were analyzed as a microbial ecosystem, using 1 year of 16S rRNA sequencing and 70 metagenomes collected during the bloom season from Lake Okeechobee (Florida, USA). Biogeographical patterns observed in microbial community composition and function reflected ecological zones distinct in their physical and chemical parameters that resulted in bloom "hotspots" near major lake inflows. Changes in relative abundances of taxa within multiple phyla followed increasing bloom severity. Functional pathways that correlated with increasing bloom severity encoded organic nitrogen and phosphorus utilization, storage of nutrients, exchange of genetic material, phage defense, and protection against oxidative stress, suggesting that microbial interactions may promote cyanoHAB resilience. Cyanobacterial communities were highly diverse, with picocyanobacteria ubiquitous and oftentimes most abundant, especially in the absence of blooms. The identification of novel bloom-forming cyanobacteria and genomic comparisons indicated a functionally diverse cyanobacterial community with differences in its capability to store nitrogen using cyanophycin and to defend against phage using CRISPR and restriction-modification systems. Considering blooms in the context of a microbial ecosystem and their interactions in nature, physiologies and interactions supporting the proliferation and stability of cyanoHABs are proposed, including a role for phage infection of picocyanobacteria. This study displayed the power of "-omics" to reveal important biological processes that could support the effective management and prediction of cyanoHABs. IMPORTANCE: Cyanobacterial harmful algal blooms pose a significant threat to aquatic ecosystems and human health. Although physical and chemical conditions in aquatic systems that facilitate bloom development are well studied, there are fundamental gaps in the biological understanding of the microbial ecosystem that makes a cyanobacterial bloom. High-throughput sequencing was used to determine the drivers of cyanobacteria blooms in nature. Multiple functions and interactions important to consider in cyanobacterial bloom ecology were identified. The microbial biodiversity of blooms revealed microbial functions, genomic characteristics, and interactions between cyanobacterial populations that could be involved in bloom stability and more coherently define cyanobacteria blooms. Our results highlight the importance of considering cyanobacterial blooms as a microbial ecosystem to predict, prevent, and mitigate them.

Indexed as

BacteriophagesCyanobacteriaHarmful Algal BloomBiodiversityGenomicsLakesMetagenomeMicrobiotaRNA, Ribosomal, 16SRNA, Ribosomal, 16SbloomscyanobacteriaLake Okeechobeemetagenomicsmicrobial biodiversitymicrobial interactions

Identifiers

PMID38856205
PMCPMC11265339

What Socratic 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 Socratic graph.