Inorganic carbon and pH dependency of photosynthetic rates in Trichodesmium

Boatman, Tobias G.; Mangan, Niall M.; Lawson, Tracy; Geider, Richard J.

doi:10.1093/jxb/ery141

Cited by 19 publications

(22 citation statements)

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“…Daily growth rates were quantified from changes in baseline fluorescence ( F o ) measured between 09.00 h and 10.30 h on dark-adapted cultures (20 min) using a FRRfII FastAct Fluorometer System (Chelsea Technologies Group Ltd, UK). As detailed in Boatman et al (2018 a ), cultures were deemed fully acclimated and in balanced growth when both the slope of the linear regression of ln( F o ) and the ratio of live-cell to acetone-extracted F o were constant following every dilution with fresh YBCII medium.…”

Section: Methodsmentioning

confidence: 99%

“…Samples for the determination of Chl a and POC were collected with each light–response curve, while PON was calculated from the measured POC using the CO 2 -specific C:N ratio reported in Boatman et al (2018 a ). For measurements of Chl a and POC, two 100 ml samples from each culture were vacuum-filtered onto pre-combusted 25 mm glass fibre filters (0.45 µm pore; Fisherbrand FB59451, UK).…”

Section: Methodsmentioning

confidence: 99%

“…Previous studies report an increase in growth and productivity (CO 2 and N 2 fixation) of T. erythraeum IMS101 as well as changing elemental composition in response to future CO 2 concentrations (~750–1000 µmol mol –1 ) (Barcelos e Ramos et al , 2007; Levitan et al , 2007, 2010 a ; Kranz et al , 2010; Spungin et al , 2014; Hutchins et al , 2015; Boatman et al , 2017, 2018 a, b ), although, as discussed in Boatman et al (2018 a ), the magnitude of the responses often differs between studies. Due to the significant contribution that Trichodesmium makes to biogeochemical cycles and the predicted change in inorganic carbon (Ci) speciation over the coming decades, we performed a systematic experiment to assess how the photosynthetic physiology of T. erythraeum IMS101 was affected by acclimation to varying CO 2 .…”

Section: Introductionmentioning

confidence: 99%

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CO2 modulation of the rates of photosynthesis and light-dependent O2 consumption inTrichodesmium

Boatman

Davey

Lawson

et al. 2018

Journal of Experimental Botany

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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CO2 modulation of the rates of photosynthesis and light-dependent O2 consumption inTrichodesmium

Boatman

Davey

Lawson

et al. 2018

Journal of Experimental Botany

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“…These can be supplemented with “zooming in” on specific time steps to enhance investigation to rapidly occurring phenomena (Figure 4B). Not only did our predicted growth rates quantitatively match the experimental data, it was better able to capture effect of light saturation on growth rate; light intensities above 100 μE have little to no effect on growth rate (2, 49, 57–59). Our simulations agree well with the experimental data, however, there are differences that can be explained by the differences between our experimental conditions and our simulations.…”

Section: Discussionmentioning

confidence: 54%

MultIscale MultiObjective Systems Analysis (MIMOSA): an advanced metabolic modeling framework for complex systems

Gardner

Boyle

2019

Preprint

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12In natural environments, cells live in complex communities and experience a high degree of 13 heterogeneity internally and in the environment. Unfortunately, most of the metabolic modeling 14 approaches that are currently used assume ideal conditions and that each cell is identical, limiting 15 their application to pure cultures in well-mixed vessels. Here we describe our development of 16MultIscale MultiObjective Systems Analysis (MIMOSA), a metabolic modeling approach that can 17 track individual cells in both space and time, track the diffusion of nutrients and light and the 18 interaction of cells with each other and the environment. As a proof-of concept study, we used 19 MIMOSA to model the growth of Trichodesmium erythraeum, a filamentous diazotrophic 20 cyanobacterium which has cells with two distinct metabolic modes. The use of MIMOSA 21 significantly improves our ability to predictively model metabolic changes and phenotype in more 22 complex cell cultures. 23 linear optimization problems to satisfy species and community level objectives, leveraging the 47 inner solution as a constraint for the outer problem. However, this approach still relies on a priori 48 determination of relative objective preference as well as predetermination of both species-level 49 and community-level objectives. Additionally, cells are treated as homogenous spatial groups (13) 50 or homogenous species groups (14), which limits the accurate simulation of cells acting 51 individually, interacting with their environment, and ultimately forming communities. These 52 approaches thus discount the complexity of individual cells forming communities and, instead of 53 acting uniformly with neighbors or species, create dynamic intercellular and inter-environmental 54 reactions (13,(18)(19)(20). 55 56To more accurately model the complexity of community growth, a new modeling approach must 57 be developed. We have developed MultIscale MultiObjective Systems Analysis (MIMOSA), an 58 advanced metabolic modeling framework for complex systems. This approach uses a multi-scale 59 multi-paradigm metabolic modeling approach can leverage simple, powerful stoichiometric 60 metabolic models and integrate spatio-temporal tracking of cells, nutrient diffusion, cell-cell 61 interactions and cell-environmental interactions. This approach requires the use of both continuous 62 and discrete variables as well as several different mathematical formalisms to reflect the multilevel 63 behavior in populations. Therefore, we use an agent-based modeling (ABM) framework to allow 64 direct interaction of different levels through the encapsulation of physiological, environmental, 65 and metabolic models. ABM is a bottom-up modeling approach; the model is made up of a set of 66 agents, which are allowed to act independently as long as they follow distinct rules of behavior 67 defined by the user, this allows us to simulate emergent behavior of complex communities that 68 arise from individual agent behaviors (21-24). The system behavior emerges as a result of th...

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“…Trichodesmium is able to use dissolved organic phosphorus (DOP) forms including phosphoesters and phosphonates when inorganic phosphate availability is low 5 , 6 . The RuBisCo enzyme of Trichodesmium has a low affinity for CO 2 21 , which is thought to explain its enhanced carbon fixation when exposed to high CO 2 levels and/or lower pH 22 , 23 . The inefficiency of RuBisCo may drive Trichodesmium to use DOM to meet its carbon needs.…”

Section: Introductionmentioning

confidence: 99%

Untreated sewage outfalls do not promote Trichodesmium blooms in the coasts of the Canary Islands

Benavides

Arı́stegui

2020

Sci Rep

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During the summer of 2017, recurrent extensive blooms of the diazotrophic cyanobacterium Trichodesmium invaded the beaches and coastal waters of the Canary Islands, causing great social alarm. Some local media and public sectors ascribed, without any strong scientific evidence, the origin and reactivation of these blooms to untreated sewage outfalls distributed along the coasts. In order to test whether sewage outfalls could have any influence on the metabolic activity of Trichodesmium, we performed 13C and 15N2 uptake experiments with colonies experiencing three different bloom development stages, incubated both with clear seawater and sewage water from an outfall south of Gran Canaria island. Our results showed that sewage outfalls did not promote any increase in dinitrogen (N2) fixation in Trichodesmium, supporting the hypothesis that decaying blooms were generated offshore and transported shoreward by local currents and winds, accumulating mostly leeward of the islands. The combination of unusually warm seawater temperatures, enhanced and sustained stratification of the upper water column and recurrent dust deposition events would have favored the development of the Trichodesmium blooms, which lasted for at least four months.

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Inorganic carbon and pH dependency of photosynthetic rates in Trichodesmium

Abstract: Photosynthetic rates in the cyanobacterium Trichodesmium erythraeum appear to be a function of CO2, although numerical simulations of the carbon-concentrating mechanism show carboxylation to be mediated as a function of pH and HCO3–.

Cited by 19 publications

References 44 publications

CO2 modulation of the rates of photosynthesis and light-dependent O2 consumption inTrichodesmium

CO2 modulation of the rates of photosynthesis and light-dependent O2 consumption inTrichodesmium

MultIscale MultiObjective Systems Analysis (MIMOSA): an advanced metabolic modeling framework for complex systems

Untreated sewage outfalls do not promote Trichodesmium blooms in the coasts of the Canary Islands

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