2020
DOI: 10.1101/2020.09.14.296095
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Systematic variation in the temperature dependence of bacterial carbon use efficiency

Abstract: Understanding the temperature dependence of carbon use efficiency (CUE) is critical for understanding microbial physiology, population dynamics, and community-level responses to changing environmental temperatures. Currently, microbial CUE is widely assumed to decrease with temperature. However, this assumption is based largely on community-level data, which are influenced by many confounding factors, with little empirical evidence at the level of individual strains. Here, we experimentally characterise the CU… Show more

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Cited by 8 publications
(8 citation statements)
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“…Furthermore, if the rate of biomass loss increases faster than any increase in biomass gain with temperature, the thermal optimum of (r m T opt ) may also shift downwards 21,22 . For the same reason, the range of temperatures over which r m is positive (the thermal niche width) may become narrower.…”
mentioning
confidence: 99%
“…Furthermore, if the rate of biomass loss increases faster than any increase in biomass gain with temperature, the thermal optimum of (r m T opt ) may also shift downwards 21,22 . For the same reason, the range of temperatures over which r m is positive (the thermal niche width) may become narrower.…”
mentioning
confidence: 99%
“…Growth rates are expected to be positive where energy gain outweighs energy loss. The energy loss rate of an individual increases exponentially with temperature (Gillooly et al 2001;Brown et al 2004) but exhibits negative curvature at high temperatures, indicating metabolic downregulation Gangloff et al 2015;Smith et al 2021). To compensate for increased energy loss from warming, ectotherms need to increase their energy gain through higher food intake (Pörtner et al 2006;Lurgi et al 2012; Movement constrains the fundamental ability to access spatially distributed or mobile resources (Bonte & Dahirel 2017;Goossens et al 2020) and is thus one of the major processes driving temperature-dependent trophic interactions (Dell et al 2014b;Schlägel et al 2020).…”
mentioning
confidence: 99%
“…This is compared to a calibration curve of known CO 2 concentrations, so the quantity of CO 2 produced by the culture can be determined, and thus the mass (in µ g) of carbon produced calculated. The biomass-specific respiration rate is then calculated using an equation that accounts for changes in biomass of the growing cultures over time [44]: Here, R tot is the total mass of carbon produced according to the MicroResp™ measurements, C 0 is the initial population biomass, µ is the previously calculated growth rate, and t is the experiment duration. ATP content of the cultures was measured using the Promega BacTiter-Glo reagent, which produces luminescence in the presence of ATP, proportional to the concentration of ATP.…”
Section: Methodsmentioning
confidence: 99%
“…1 for T = T pk . This model was fitted to each dataset using a standard non-linear least squares procedure [44].…”
Section: Methodsmentioning
confidence: 99%