Evidence map›Paper›PMID 32605986›Full record

ArticlemBio2020

The Trait Repertoire Enabling Cyanobacteria to Bloom Assessed through Comparative Genomic Complexity and Metatranscriptomics.

Huansheng Cao, Yohei Shimura, Morgan M Steffen, Zhou Yang, Jingrang Lu, Allen Joel, Landon Jenkins, Masanobu Kawachi, Yanbin Yin, Ferran Garcia-Pichel

Abstract readComparative Study
In one paragraph

Article in mBio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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

10 authors.

Huansheng CaoDepartment of Biological Sciences, Northern Illinois University, DeKalb, Illinois, USA.ORCID 0000-0002-2538-1589
Yohei ShimuraNational Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
Morgan M SteffenBiology Department, James Madison University, Harrisonburg, Harrisonburg, Virginia, USA.
Zhou YangJiangsu Key Laboratory for Biodiversity and Biotechnology, School of Biological Sciences, Nanjing Normal University, Nanjing, Jiangsu, China.
Jingrang LuU.S. Environmental Protection Agency Office of Research and Development, Cincinnati, Ohio, USA.
Allen JoelU.S. Environmental Protection Agency Office of Research and Development, Cincinnati, Ohio, USA.
Landon JenkinsBiodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, Arizona, USA.
Masanobu KawachiNational Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
Yanbin YinDepartment of Biological Sciences, Northern Illinois University, DeKalb, Illinois, USA yyin@unl.edu ferran@asu.edu.ORCID 0000-0001-7667-881X
Ferran Garcia-PichelBiodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, Arizona, USA yyin@unl.edu ferran@asu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water bloom development due to eutrophication constitutes a case of niche specialization among planktonic cyanobacteria, but the genomic repertoire allowing bloom formation in only some species has not been fully characterized. We posited that the habitat relevance of a trait begets its underlying genomic complexity, so that traits within the repertoire would be differentially more complex in species successfully thriving in that habitat than in close species that cannot. To test this for the case of bloom-forming cyanobacteria, we curated 17 potentially relevant query metabolic pathways and five core pathways selected according to existing ecophysiological literature. The available 113 genomes were split into those of blooming (45) or nonblooming (68) strains, and an index of genomic complexity for each strain's version of each pathway was derived. We show that strain versions of all query pathways were significantly more complex in bloomers, with complexity in fact correlating positively with strain blooming incidence in 14 of those pathways. Five core pathways, relevant everywhere, showed no differential complexity or correlations. Gas vesicle, toxin and fatty acid synthesis, amino acid uptake, and C, N, and S acquisition systems were most strikingly relevant in the blooming repertoire. Further, we validated our findings using metagenomic gene expression analyses of blooming and nonblooming cyanobacteria in natural settings, where pathways in the repertoire were differentially overexpressed according to their relative complexity in bloomers, but not in nonbloomers. We expect that this approach may find applications to other habitats and organismal groups.

Indexed as

EutrophicationGene Expression ProfilingGenome, BacterialCyanobacteriaEcosystemGenomicsLakesMetabolic Networks and PathwaysMetagenomicsPhenotypeadaptationcomparative genomicscyanobacteriacyanobacterial bloomecogenomicsecophysiologygenomic complexitymetatranscriptomeMicrocystis aeruginosawater blooms

Identifiers

PMID32605986
PMCPMC7327172

What OpenQuestion holds

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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.