The common bloom-forming cyanobacterium Microcystis is prone to a wide array of microbial antagonists

Wichelen, Jeroen Van; Vanormelingen, Pieter; Codd, Geoffrey A.; Vyverman, Wim

doi:10.1016/j.hal.2016.02.009

Cited by 88 publications

(66 citation statements)

References 226 publications

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“…Toxic cyanobacterial blooms are increasing public health and water quality management issues (Paerl, 2017). Massive blooms of Microcystis, one of the most pervasive bloomforming cyanobacteria worldwide, with the exception of Antarctica (Zurawell et al, 2005), cause serious damage to freshwater ecosystems and negatively impact the use of freshwater by human communities (Van Wichelen et al, 2016). Due to human activities, global warming, and eutrophication, the frequency, intensity, and geographic distribution of harmful algal blooms have increased over recent decades (Paerl and Paul, 2012).…”

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confidence: 99%

Distribution of the Harmful Bloom-Forming Cyanobacterium, <i>Microcystis aeruginosa</i>, in 88 Freshwater Environments across Japan

et al. 2020

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Microcystis aeruginosa was quantitatively surveyed in 88 freshwater environments across Japan within 3 weeks in 2011. In order to clarify the distribution pattern of M. aeruginosa at the intra-species level, three major genotypes, which were defined by 16S-23S rRNA inter-transcribed-spacer (ITS) regions, were selectively detected using quantitative real-time PCR assays. Of the 68 sites at which the Microcystis intergenic-spacer region of the phycocyanin (IGS-PC) gene was detected, the M. aeruginosa morphotype-related genotype (MG1) dominated in 41 sites, followed by the non-toxic M. wesenbergii-related genotype (MG3). A correlation analysis showed that total nitrogen and phosphate positively correlated with the abundance of IGS-PC, which positively correlated with microcystin synthetase gene abundance. A redundancy analysis of genotype compositions showed that pH positively correlated with the dominance of MG3 and negatively correlated with MG1, i.e., both toxic and non-toxic genotypes. Our survey of Microcystis populations over a wide area revealed that MG1 is a dominant genotype in Japan.

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confidence: 99%

Distribution of the Harmful Bloom-Forming Cyanobacterium, <i>Microcystis aeruginosa</i>, in 88 Freshwater Environments across Japan

et al. 2020

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“…At the same time, such extrinsic factors deriving from the surrounding environment are incomplete for explaining the dynamics of phytoplankton and eukaryote communities. Most importantly, intrinsic feedback mechanisms and interspecific interactions play critical roles in a community's response to variations in external factors [10]. Our results revealed that relationships between phytoplankton and eukaryotes were complicated and important.…”

Section: Effect Of the Environmental Factors On Communitiesmentioning

confidence: 83%

Community Compositions of Phytoplankton and Eukaryotes during the Mixing Periods of a Drinking Water Reservoir: Dynamics and Interactions

Yan

Chen

Huang

et al. 2020

IJERPH

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In deep drinking water reservoir ecosystems, the dynamics and interactions of community compositions of phytoplankton and eukaryotes during the mixing periods are still unclear. Here, morphological characteristics combined with high-throughput DNA sequencing (HTS) were used to investigate the variations of phytoplankton and the eukaryotic community in a large canyon-shaped, stratified reservoir located at the Heihe River in Shaanxi Province for three months. The results showed that Bacillariophyta and Chlorophyta were the dominant taxa of the phytoplankton community, accounting for more than 97% of total phytoplankton abundance, which mainly consisted of Melosira sp., Cyclotella sp., and Chlorella sp., respectively. Illumina Miseq sequencing suggested that the biodiversity of eukaryotes increased over time and that species distribution was more even. Arthropoda (6.63% to 79.19%), Ochrophyta (5.60% to 35.16%), Ciliophora (1.81% to 10.93%) and Cryptomonadales (0.25% to 11.48%) were the keystone taxa in common, contributing over 50% of the total eukaryotic community. Cryptomycota as a unique fungus was observed to possess significant synchronization with algal density, reaching a maximum of 10.70% in December (when the algal density distinctly decreased) and suggesting that it might affect the growth of algae through parasitism. Co-occurrence network patterns revealed the complicated and diverse interactions between eukaryotes and phytoplankton, suggesting that eukaryotes respond to variations in dynamic structure of the phytoplankton community, although there might be antagonistic or mutualistic interactions between them. Redundancy analysis (RDA) results showed that environmental variables collectively explained a 96.7% variance of phytoplankton and 96.3% variance of eukaryotic microorganisms, indicating that the temporal variations of phytoplankton and eukaryotic microorganisms were significantly affected by environmental conditions. This study shows that potential interactions exist between phytoplankton and eukaryotic microorganism communities, andcould improve our understanding of the ecological roles of phytoplankton and eukaryotic microorganisms in changing aquatic ecosystems. However, long-term investigations are necessary in order to obtain comprehensive understandings of their complicated associations.

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“…Numerous studies have uncovered interspecies interactions between cyanobacteria and bacteria (Ostensvik et al, 1998;Gross, 2003;Hulot and Huisman, 2004;Babica et al, 2006;Leao et al, 2009;Yuan et al, 2009;Parveen et al, 2013;Yang et al, 2013;Penn et al, 2014;Bittencourt-Oliveira et al, 2015;Allen et al, 2016;Briand et al, 2016;Van Wichelen et al, 2016;Wang et al, 2016;Dias et al, 2017;Otten et al, 2017;Wu et al, 2017;Ndlela et al, 2018;Sun et al, 2018;Woodhouse et al, 2018;Xu et al, 2018;Yu et al, 2019 and references therein), but the nature of the allelochemicals and the mechanisms involved in the interactions are in most cases poorly understood. We aimed at gaining a better understanding of the interspecies interaction between Microcystis sp.…”

Section: Introductionmentioning

confidence: 99%

Increased algicidal activity of Aeromonas veronii in response to Microcystis aeruginosa: interspecies crosstalk and secondary metabolites synergism

Weiss

Kovalerchick

Lieman-Hurwitz

et al. 2019

Environmental Microbiology

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Summary Toxic Microcystis spp. blooms constitute a serious threat to water quality worldwide. Aeromonas veronii was isolated from Microcystis sp. colonies collected in Lake Kinneret. Spent Aeromonas media inhibits the growth of Microcystis aeruginosa MGK isolated from Lake Kinneret. The inhibition was much stronger when Aeromonas growth medium contained spent media from MGK suggesting that Aeromonas recognized its presence and produced secondary metabolites that inhibit Microcystis growth. Fractionations of the crude extract and analyses of the active fractions identified several secondary metabolites including lumichrome in Aeromonas media. Application of lumichrome at concentrations as low as 4 nM severely inhibited Microcystis growth. Inactivation of aviH in the lumichrome biosynthetic pathway altered the lumichrome level in Aeromonas and the extent of MGK growth inhibition. Conversely, the initial lag in Aeromonas growth was significantly longer when provided with Microcystis spent media but Aeromonas was able to resume normal growth. The longer was pre‐exposure to Microcystis spent media the shorter was the lag phase in Aeromonas growth indicating the presence of, and acclimation to, secondary MGK metabolite(s) the nature of which was not revealed. Our study may help to control toxic Microcystis blooms taking advantage of chemical languages used in the interspecies communication.

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The common bloom-forming cyanobacterium Microcystis is prone to a wide array of microbial antagonists

Cited by 88 publications

References 226 publications

Distribution of the Harmful Bloom-Forming Cyanobacterium, <i>Microcystis aeruginosa</i>, in 88 Freshwater Environments across Japan

Distribution of the Harmful Bloom-Forming Cyanobacterium, <i>Microcystis aeruginosa</i>, in 88 Freshwater Environments across Japan

Community Compositions of Phytoplankton and Eukaryotes during the Mixing Periods of a Drinking Water Reservoir: Dynamics and Interactions

Increased algicidal activity of Aeromonas veronii in response to Microcystis aeruginosa: interspecies crosstalk and secondary metabolites synergism

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