Allelopathic effects of the dinophyte Prorocentrum minimum on the growth of the bacillariophyte Skeletonema costatum

Tameishi, Masayuki; Yamasaki, Yasuhiro; Nagasoe, Sou; Shimasaki, Yohei; Oshima, Yuji; Honjo, Tasuku

doi:10.1016/j.hal.2008.09.002

Cited by 33 publications

(12 citation statements)

References 29 publications

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“…At this stage, inhibitory effects by algae against other competitive phytoplankton (Tameishi et al. , Tillmann and Hansen ) may lengthen the bloom period. Finally, the transition of stage C to D encompasses the increased action of inhibitory microbes, which ultimately cause a decline in the abundance of algae and a decline in the overall bloom.…”

Section: Discussionmentioning

confidence: 99%

“…Observed Stenotrophomonas ASSOCIATIONS AMONG MICROEUKARYOTES AND BACTERIA used by S. trochoidea (Tillmann et al 2008) and other dinoflagellates to combat against the competition and grazing of other phototrophic or heterotrophic organisms (Tillmann et al 2008, Tameishi et al 2009, Tillmann and Hansen 2009). Identification of key and dominant T-RFs.…”

Section: T-rfsmentioning

confidence: 99%

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An association network analysis among microeukaryotes and bacterioplankton reveals algal bloom dynamics

Tan

Zhou

Zhu

et al. 2015

Journal of Phycology

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Algal blooms are a worldwide phenomenon and the biological interactions that underlie their regulation are only just beginning to be understood. It is established that algal microorganisms associate with many other ubiquitous, oceanic organisms, but the interactions that lead to the dynamics of bloom formation are currently unknown. To address this gap, we used network approaches to investigate the association patterns among microeukaryotes and bacterioplankton in response to a natural Scrippsiella trochoidea bloom. This is the first study to apply network approaches to bloom dynamics. To this end, terminal restriction fragment (T-RF) length polymorphism analysis showed dramatic changes in community compositions of microeukaryotes and bacterioplankton over the blooming period. A variance ratio test revealed significant positive overall associations both within and between microeukaryotic and bacterioplankton communities. An association network generated from significant correlations between T-RFs revealed that S. trochoidea had few connections to other microeukaryotes and bacterioplankton and was placed on the edge. This lack of connectivity allowed for the S. trochoidea sub-network to break off from the overall network. These results allowed us to propose a conceptual model for explaining how changes in microbial associations regulate the dynamics of an algal bloom. In addition, key T-RFs were screened by principal components analysis, correlation coefficients, and network analysis. Dominant T-RFs were then identified through 18S and 16S rRNA gene clone libraries. Results showed that microeukaryotes clustered predominantly with Dinophyceae and Perkinsea while the majority of bacterioplankton identified were Alphaproteobacteria, Gammaproteobacteria, and Bacteroidetes. The ecologi-cal roles of both were discussed in the context of these findings.

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Section: Discussionmentioning

confidence: 99%

Section: T-rfsmentioning

confidence: 99%

An association network analysis among microeukaryotes and bacterioplankton reveals algal bloom dynamics

Tan

Zhou

Zhu

et al. 2015

Journal of Phycology

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“…seem to be sensitive to allelochemicals excreted by various dinoflagellates (e.g. Gentien & Arzul 1990, Arzul et al 1999, Kubanek et al 2005, Tillmann et al 2007, Tameishi et al 2009). On the other hand, diatoms may also produce allelochemicals (Yamasaki et al 2011a), and in fact filtrates of some Baltic diatoms, used as targets in the present study, have been found to decrease the growth rates of some common vernal dinoflagellates, including Biecheleria baltica and Scrippsiella hangoei (Spilling 2008).…”

Section: Discussionmentioning

confidence: 99%

Allelopathic effects of Baltic Sea spring bloom dinoflagellates on co-occurring phytoplankton

Suikkanen¹,

Hakanen²,

Spilling³

et al. 2011

Mar. Ecol. Prog. Ser.

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Dinoflagellate-dominated spring blooms are globally uncommon, but they regularly occur and are even increasing in the Baltic Sea, varying interannually in importance with diatomdominated blooms. The success of dinoflagellates in the spring phytoplankton community has remained poorly understood, as they are expected to be inferior competitors due to their low growth rates and nutrient uptake capacities under nutrient-replete spring conditions. To prevail in the phytoplankton community, dinoflagellates must either be favored by specific environmental settings or possess adaptations, such as allelopathy, to compensate for their competitive disadvantage. Using batch cultures, we studied the allelopathic effects of 3 dominant vernal dinoflagellates -Biecheleria baltica, Gymnodinium corollarium and Scrippsiella hangoei -on 5 typical spring bloom diatoms and 1 cryptophyte. We also tested the effects of the dinoflagellates on each other. Three of the 5 diatoms -Melosira arctica, Skeletonema marinoi and Thalassiosira balticawere significantly inhibited by cell-free filtrates or live cells of all dinoflagellates. Chaetoceros cf. wighamii and Diatoma tenuis were suppressed by G. corollarium, and D. tenuis was also suppressed by live cells of S. hangoei. In contrast, the cryptophyte Rhodomonas sp. was stimulated by all dinoflagellate species. The effects of dinoflagellate filtrates on other dinoflagellate species were mostly positive, but co-culturing tended to inhibit the growth of the respective target dinoflagellates. As some of the major players of the diatom spring bloom can be suppressed by cooccurring dinoflagellates in culture, we conclude that allelopathy may be one mechanism by which vernal dinoflagellates frequently outcompete diatoms and form intense spring blooms.

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“…But, competition can only occur when a culture starts with representatives of two or more species in a tube (found at the lower dilutions in a series), and it affects only the estimates of the abundances at the species level; as long as one of the competitors grows to detection, tubes with more than one viable species in the inoculum score positive and the accuracy of SDC-MPN for total viable cells is unaffected. We note that one extreme of competitive exclusion, allelopathic suppression of one species by another through production of growth-inhibiting metabolites, is more likely to occur at higher population densities, when nutrients have been depleted (Granéli and Salomon 2010 ; Hardison et al 2013 ; Tameishi et al 2009 ). These conditions are not likely to occur during an SDC-MPN assay.…”

Section: The Sdc-mpn Methods For Total Viable Phytoplanktonmentioning

confidence: 99%

On the use of the serial dilution culture method to enumerate viable phytoplankton in natural communities of plankton subjected to ballast water treatment

Cullen

MacIntyre

2015

J Appl Phycol

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Discharge standards for ballast water treatment (BWT) systems are based on concentrations of living cells, for example, as determined with vital stains. Ultraviolet radiation (UV) stops the reproduction of microorganisms without killing them outright; they are living, but not viable, and ecologically as good as dead. Consequently, UV-treated discharge can be compliant with the intent of regulation while failing a live/dead test. An alternative evaluation of BWT can be proposed based on the assessment of viable, rather than living, cells in discharge water. In principle, the serial dilution culture-most probable number (SDC-MPN) method provides the appropriate measure for phytoplankton. But, the method has been criticized, particularly because it is thought that many phytoplankton species cannot be cultured. A review of the literature shows that although SDC-MPN has been used for more than 50 years—generally to identify and count phytoplankton species that cannot be preserved—its application to enumerate total viable phytoplankton seems to be new, putting past criticisms of the method in a different light. Importantly, viable cells need to grow only enough to be detected, not to be brought into sustained culture, and competition between species in a dilution tube is irrelevant as long as the winner is detectable. Thorough consideration of sources of error leads to recommendations for minimizing and quantifying uncertainties by optimizing growth conditions and conducting systematic comparisons. We conclude that with careful evaluation, SDC-MPN is potentially an effective method for assessing the viability of phytoplankton after BWT.

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Allelopathic effects of the dinophyte Prorocentrum minimum on the growth of the bacillariophyte Skeletonema costatum

Cited by 33 publications

References 29 publications

An association network analysis among microeukaryotes and bacterioplankton reveals algal bloom dynamics

An association network analysis among microeukaryotes and bacterioplankton reveals algal bloom dynamics

Allelopathic effects of Baltic Sea spring bloom dinoflagellates on co-occurring phytoplankton

On the use of the serial dilution culture method to enumerate viable phytoplankton in natural communities of plankton subjected to ballast water treatment

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