The complex relationship between microbial growth rate and yield and its implications for ecosystem processes

Lipson, David A.

doi:10.3389/fmicb.2015.00615

Cited by 204 publications

(196 citation statements)

References 56 publications

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“…A further layer of complexity is added when considering the possible trade‐offs between growth rate and C‐use efficiency (Lipson ). Trade‐offs occur when abundant resources and favourable environmental conditions support fast‐growing, but inefficient microbial communities.…”

Section: Discussionmentioning

confidence: 99%

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Optimal metabolic regulation along resource stoichiometry gradients

et al. 2017

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Most heterotrophic organisms feed on substrates that are poor in nutrients compared to their demand, leading to elemental imbalances that may constrain their growth and function. Flexible carbon (C)-use efficiency (CUE, C used for growth over C taken up) can represent a strategy to reduce elemental imbalances. Here, we argue that metabolic regulation has evolved to maximise the organism growth rate along gradients of nutrient availability and translated this assumption into an optimality model that links CUE to substrate and organism stoichiometry. The optimal CUE is predicted to decrease with increasing substrate C-to-nutrient ratio, and increase with nutrient amendment. These predictions are generally confirmed by empirical evidence from a new database of c. 2200 CUE estimates, lending support to the hypothesis that CUE is optimised across levels of organisation (microorganisms and animals), in aquatic and terrestrial systems, and when considering nitrogen or phosphorus as limiting nutrients.

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Section: Discussionmentioning

confidence: 99%

“…Hence, this approach does not attribute changes in CUE to a specific metabolic process (as discussed by Anderson et al . ; van Bodegom ; Lipson ), but simply quantifies how CUE should vary to maximise growth.…”

Section: Methodsmentioning

confidence: 99%

Optimal metabolic regulation along resource stoichiometry gradients

et al. 2017

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“…When we examine the response of other functional groups benefiting from influxes of N, like denitrifiers, we see no significant change in population sizes, suggesting that either energy is being utilized for physiological maintenance or otherwise for redox balance/homeostasis (Dietrich et al., ; Hartsock & Shapleigh, ; Li, Katzmann, Borg, & Schuler, ). The distinction here being that we use the term physiological maintenance as it refers to the state of energetics in a cell where the energy consumed is used for functions other than the production of new cell material (i.e., growth) (van Bodegom, ; Lipson, ). Alternatively, redox balance reactions are used to maintain viable metabolic processes by controlling the redox state of all the cellular components (Green & Paget, ).…”

Section: Discussionmentioning

confidence: 99%

“…These are first‐order models that suggest that while a benefit exists where increased copy numbers lead to increased growth rate, after a certain threshold other variables might limit any benefit. Alternatively, a decrease in growth rate might be observed with increasing copy numbers once a trade‐off threshold is passed (Lipson, ). However, when rrn copy numbers are log2 transformed, a significant linear fit was observed as seen in prior studies (Roller et al., ).…”

Section: Discussionmentioning

confidence: 99%

Response to nitrogen addition reveals metabolic and ecological strategies of soil bacteria

et al. 2017

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The nitrogen (N) cycle represents one of the most well-studied systems, yet the taxonomic diversity of the organisms that contribute to it is mostly unknown, or linked to poorly characterized microbial groups. While new information has allowed functional groups to be refined, they still rely on a priori knowledge of enzymes involved and the assumption of functional conservation, with little connection to the role the transformations, plays for specific organisms. Here, we use soil microcosms to test the impact of N deposition on prokaryotic communities. By combining chemical, genomic and transcriptomic analysis, we are able to identify and link changes in community structure to specific organisms catalysing given chemical reactions. Urea deposition led to a decrease in prokaryotic richness, and a shift in community composition. This was driven by replacement of stable native populations, which utilize energy from N-linked redox reactions for physiological maintenance, with fast responding populations that use this energy for growth. This model can be used to predict response to N disturbances and allows us to identify putative life strategies of different functional and taxonomic groups, thus providing insights into how they persist in ecosystems by niche differentiation.

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“…Thus, at very high , a trade-off between growth and CUE may emerge (Lipson, 2015). Combining these pieces of evidence, CUE would be expected to first increase with increasing , then reach a peak and decrease at high values.…”

Section: Biological Drivers Vs Confounding Factors Of C-use Efficienmentioning

confidence: 99%

Reviews and syntheses: Carbon use efficiency from organisms to ecosystems – Definitions, theories, and empirical evidence

Manzoni¹,

Čapek²,

Porada³

et al. 2018

Preprint

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Abstract. The cycling of carbon (C) between the Earth surface and the atmosphere is controlled by biological and abiotic processes that regulate C storage in biogeochemical compartments and release to the atmosphere. This partitioning is quantified using various forms of C-use efficiency (CUE) -the ratio of C remaining in a system 25 over C entering that system. Biological CUE is the fraction of C taken up allocated to new biomass. In soils and sediments C storage depends also on abiotic processes, so the term C-storage efficiency (CSE) can be used. Here we first review and reconcile CUE and CSE definitions proposed for autotrophic and heterotrophic organisms and communities, food webs, whole ecosystems, and soils and sediments using a common mathematical framework.Second, we identify general CUE patterns, such as the CUE increase with improving growing conditions, and 30 apparent decrease due to turnover. We then synthesize >6000 CUE estimates showing that CUE decreases with increasing biological and ecological organization -from unicellular to multicellular organisms, and from individuals to ecosystems. We conclude that CUE is an emergent property of coupled biological-abiotic systems, and it should be regarded as a flexible and scale-dependent index of the capacity of a given system to effectively retain C. 35

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The complex relationship between microbial growth rate and yield and its implications for ecosystem processes

Cited by 204 publications

References 56 publications

Optimal metabolic regulation along resource stoichiometry gradients

Optimal metabolic regulation along resource stoichiometry gradients

Response to nitrogen addition reveals metabolic and ecological strategies of soil bacteria

Reviews and syntheses: Carbon use efficiency from organisms to ecosystems – Definitions, theories, and empirical evidence

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