Coexistence of mixotrophs, autotrophs, and heterotrophs in planktonic microbial communities

Crane, Kenneth W.; Grover, James P.

doi:10.1016/j.jtbi.2009.10.027

Cited by 73 publications

(54 citation statements)

References 40 publications

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“…Here, the description of mixotrophy is quite simplistic, relying on the assumption that there exists a linear trade-o between autotrophic and heterotrophic abilities (Crane and Grover, 2010), and the assumption that the parameters of heterotrophic and autotrophic traits re ect the conditions that enforced pure heterotrophy or autotrophy in the meta-analysis data that formed the basis for parameterization in this study. It should be further noted that, in reality, a major carbon and nutrient source for mixotrophs is often bacteria (Mitra et al, 2014), which is not explicitly modelled in this study, but is implicitly represented by the POM pool, P content of which is known, but C content is assumed to be proportional to P by the Red eld ratio.…”

Section: Discussionmentioning

confidence: 99%

“…In this study, instead of describing autotrophs, heterotrophs and mixotrophs separately, we describe a generic plankton unit that can be anything between a pure autotroph or a pure heterotroph, inspired by Crane and Grover (2010). A central parameter in this uni ed representation is the fraction of photosynthethic autotrophy, ζ, set to ζ = 1.0 for 3 autotroph groups (Xi={APR, AL, AS}), ζ = 0.5 for the mixotrophs (Xi={M}) and ζ = 0.0 for the zooplankton (Xi={ZH, ZC}) ( Table 3, see section 3 for the identi cation of functional groups).…”

Section: Biological Modelmentioning

confidence: 99%

“…which stems from the Droop model describing down regulation of nutrient uptake (Morel, 1987, , with the lower boundary of Umax being 0), and generalized by Crane and Grover (2010) to apply also for assimilation of ingested nutrients (eq.2b). The nal, quota-adjusted nutrient uptake rate appears as a sink term in eq.…”

Section: Biological Modelmentioning

confidence: 99%

“…Crane and Grover (2010) suggested Qmin of mixotrophs should be 20% higher due to costs of maintaining the organismal apparatus required for herbivory. Here we generalize this by assuming Q real min = Qmin + (Qmax − Qmin)(1 − ζ) (after estimating Qmax from Qmin, see below), such that at ζ = 0, Q real min = Qmax, i.e., pure herbivores are homeostatic.…”

Section: Umax Qminmentioning

confidence: 99%

“…Following many decades of dichotomous classi cation of planktonic organisms as`autotrophs' and`heterotrophs' (Flynn et al, 2012), importance of mixotrophy in ecosystem functioning has been increasingly recognized (Mitra et al, 2014, and references therein). Mixotrophy has been addressed mainly by theoretical work so far (e.g., Thingstad et al, 1997;Flynn and Mitra, 2009;Crane and Grover, 2010;Berge et al, 2017). The recent work of Ward and Follows (2016) constitutes the rst example where mixotrophy is resolved in a global ocean model.…”

Section: Introductionmentioning

confidence: 99%

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Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Kerimoglu

Jacquet²,

Vinçon‐Leite

et al. 2017

Ecological Modelling

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Predicting phytoplankton succession and variability in natural systems remains to be a grand challenge in aquatic ecosystems research. In this study, we identi ed six major plankton groups in Lake Bourget (France), based on cell size, taxonomic properties, food-web interactions and occurrence patterns: cyanobacterium Planktothrix rubescens, small and large phytoplankton, mixotrophs, herbivorous and carnivorous zooplankton. We then developed a deterministic dynamic model that describes the dynamics of these groups in terms of carbon and phosphorus uxes, as well as of particulate organic phosphorus and dissolved inorganic provide evidence for the hypothesis that the abundance of this species before the onset of strati cation is critical for its success later in the growing season, pointing thereby to a priority e ect.

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Section: Discussionmentioning

confidence: 99%

Section: Biological Modelmentioning

confidence: 99%

Section: Biological Modelmentioning

confidence: 99%

Section: Umax Qminmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Kerimoglu

Jacquet²,

Vinçon‐Leite

et al. 2017

Ecological Modelling

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Intraguild predation enables coexistence of competing phytoplankton in a well‐mixed water column

Moeller

Neubert

Johnson

2019

Ecology

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Citation: Moeller, H. V., M. G. Neubert, and M. D. Johnson. 2019. Intraguild predation enables coexistence of competing phytoplankton in a well-mixed water column. Ecology 100(12):Abstract. Resource competition theory predicts that when two species compete for a single, finite resource, the better competitor should exclude the other. However, in some cases, weaker competitors can persist through intraguild predation, that is, by eating their stronger competitor. Mixotrophs, species that meet their carbon demand by combining photosynthesis and phagotrophic heterotrophy, may function as intraguild predators when they consume the phototrophs with which they compete for light. Thus, theory predicts that mixotrophy may allow for coexistence of two species on a single limiting resource. We tested this prediction by developing a new mathematical model for a unicellular mixotroph and phytoplankter that compete for light, and comparing the model's predictions with a laboratory experimental system. We find that, like other intraguild predators, mixotrophs can persist when an ecosystem is sufficiently productive (i.e., the supply of the limiting resource, light, is relatively high), or when species interactions are strong (i.e., attack rates and conversion efficiencies are high). Both our mathematical and laboratory models show that, depending upon the environment and species traits, a variety of equilibrium outcomes, ranging from competitive exclusion to coexistence, are possible. W Varied December 2019 MIXOTROPHY IN PLANKTONIC COMMUNITIES Article e02874; page 3 FIG. 4. Dependence of mathematical model predicted dynamics on surface light I in and attack rate a. Legends and notation as in Fig. 1. As available light increases, the system transitions from competitive exclusion by prey, to alternate competitive exclusion states or coexistence, to bistability of coexistence and competitive exclusion by the mixotroph, and finally to competitive exclusion by the mixotroph. Nullclines are shown for increasing values of I in at a fixed value of a = 1 9 10 À7 (right column); Roman numerals are used to indicate specific parameter values and are chosen for consistency with Roman numerals in Fig. 1. Note that the basins of attraction for the bistable equilibria shift. For example, as I in increases, the basin of attraction for the coexistence equilibrium (purple square) shrinks (nullclines corresponding to locations IVa and IVb). Parameters are as listed in Table 1, with p m = 0.3, h m = 250, ' m = 0.1, k m = 5 9 10 À7 , and b = 0.005.

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Mixotrophic bacteria for environmental detoxification of contaminated waste and wastewater

Huang

Xing

Zhou

et al. 2021

Appl Microbiol Biotechnol

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Mixotrophic bacteria provide a desirable alternative to the use of classical heterotrophic or chemolithoautotrophic bacteria in environmental technology, particularly under limiting nutrients conditions. Their bi-modal ability of adapting to inorganic or organic carbon feed and sulfur, nitrogen or even heavy metals stress conditions are attractive features to achieve efficient bacterial activity and favorable operation conditions for the environmental detoxification or remediation of contaminated waste and wastewater. This review provides an overview on the state of the art and summarizes the metabolic traits of the most promising and emerging non-model mixotrophic bacteria for the environmental detoxification of contaminated wastewater and waste containing excess amounts of limiting nutrients. Although mixotrophic bacteria usually function with low organic carbon sources, the unusual capabilities of mixotrophic electroactive exoelectrogens and electrotrophs in bioelectrochemical systems and in microbial electrosynthesis for accelerating simultaneous metabolism of inorganic or organic C and N, S or heavy metals are reviewed. The identification of the mixotrophic properties of electroactive bacteria and their capability to drive mono or bidirectional electron transfer processes are highly exciting and promising aspects. These aspects provide an appealing potential for unearthing new mixotrophic exoelectrogens and electrotrophs, and thus inspire next generation of microbial electrochemical technology and mixotrophic bacterial metabolic engineering.

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Coexistence of mixotrophs, autotrophs, and heterotrophs in planktonic microbial communities

Cited by 73 publications

References 40 publications

Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Intraguild predation enables coexistence of competing phytoplankton in a well‐mixed water column

Mixotrophic bacteria for environmental detoxification of contaminated waste and wastewater

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