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

Authors

Huansheng Cao, Northern Illinois University
Yohei Shimura, National Institute for Environmental Studies
Morgan M. Steffen, James Madison University
Zhou Yang, Nanjing Normal University
Jingrang Lu, U.S. Environmental Protection Agency Office of Research and Development
Allen Joel, U.S. Environmental Protection Agency Office of Research and Development
Landon Jenkins, Arizona State University
Masanobu Kawachi, National Institute for Environmental Studies
Yanbin Yin, University of Nebraska-LincolnFollow
Ferran Garcia-Pichel, Arizona State University

Author ORCID Identifier

Huansheng Cao

Yanbin Yin

Date of this Version

5-26-2020

Document Type

Article

Citation

Cao H, Shimura Y, Steffen MM, Yang Z, Lu J, Joel A, Jenkins L, Kawachi M, Yin Y, GarciaPichel F. 2020. The trait repertoire enabling cyanobacteria to bloom assessed through comparative genomic complexity and metatranscriptomics. mBio 11:e01155-20. https://doi.org/10.1128/mBio.01155-20.

Comments

CC-BY

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.