Literature DB >> 35862730

Uptake of Phytoplankton-Derived Carbon and Cobalamins by Novel Acidobacteria Genera in Microcystis Blooms Inferred from Metagenomic and Metatranscriptomic Evidence.

Derek J Smith1, Jenan J Kharbush1, Roland D Kersten2, Gregory J Dick1,3.   

Abstract

Interactions between bacteria and phytoplankton can influence primary production, community composition, and algal bloom development. However, these interactions are poorly described for many consortia, particularly for freshwater bloom-forming cyanobacteria. Here, we assessed the gene content and expression of two uncultivated Acidobacteria from Lake Erie Microcystis blooms. These organisms were targeted because they were previously identified as important catalase producers in Microcystis blooms, suggesting that they protect Microcystis from H2O2. Metatranscriptomics revealed that both Acidobacteria transcribed genes for uptake of organic compounds that are known cyanobacterial products and exudates, including lactate, glycolate, amino acids, peptides, and cobalamins. Expressed genes for amino acid metabolism and peptide transport and degradation suggest that use of amino acids and peptides by Acidobacteria may regenerate nitrogen for cyanobacteria and other organisms. The Acidobacteria genomes lacked genes for biosynthesis of cobalamins but expressed genes for its transport and remodeling. This indicates that the Acidobacteria obtained cobalamins externally, potentially from Microcystis, which has a complete gene repertoire for pseudocobalamin biosynthesis; expressed them in field samples; and produced pseudocobalamin in axenic culture. Both Acidobacteria were detected in Microcystis blooms worldwide. Together, the data support the hypotheses that uncultured and previously unidentified Acidobacteria taxa exchange metabolites with phytoplankton during harmful cyanobacterial blooms and influence nitrogen available to phytoplankton. Thus, novel Acidobacteria may play a role in cyanobacterial physiology and bloom development. IMPORTANCE Interactions between heterotrophic bacteria and phytoplankton influence competition and successions between phytoplankton taxa, thereby influencing ecosystem-wide processes such as carbon cycling and algal bloom development. The cyanobacterium Microcystis forms harmful blooms in freshwaters worldwide and grows in buoyant colonies that harbor other bacteria in their phycospheres. Bacteria in the phycosphere and in the surrounding community likely influence Microcystis physiology and ecology and thus the development of freshwater harmful cyanobacterial blooms. However, the impacts and mechanisms of interaction between bacteria and Microcystis are not fully understood. This study explores the mechanisms of interaction between Microcystis and uncultured members of its phycosphere in situ with population genome resolution to investigate the cooccurrence of Microcystis and freshwater Acidobacteria in blooms worldwide.

Entities:  

Keywords:  Acidobacteria; Microcystis; cyanobacterial blooms; metagenomics; metatranscriptomics; microbial ecology; phycosphere

Mesh:

Substances:

Year:  2022        PMID: 35862730      PMCID: PMC9317899          DOI: 10.1128/aem.01803-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   5.005


  103 in total

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Journal:  Nature       Date:  2015-05-27       Impact factor: 49.962

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4.  Genotype and host microbiome alter competitive interactions between Microcystis aeruginosa and Chlorella sorokiniana.

Authors:  Kathryn C Schmidt; Sara L Jackrel; Derek J Smith; Gregory J Dick; Vincent J Denef
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7.  Bandage: interactive visualization of de novo genome assemblies.

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Journal:  Bioinformatics       Date:  2015-06-22       Impact factor: 6.937

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Authors:  Joseph A Christie-Oleza; Despoina Sousoni; Matthew Lloyd; Jean Armengaud; David J Scanlan
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9.  Secondary metabolite gene expression and interplay of bacterial functions in a tropical freshwater cyanobacterial bloom.

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10.  MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies.

Authors:  Dongwan D Kang; Feng Li; Edward Kirton; Ashleigh Thomas; Rob Egan; Hong An; Zhong Wang
Journal:  PeerJ       Date:  2019-07-26       Impact factor: 2.984

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