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Metabolic scaling-the relationship between organismal metabolic rate (R) and body mass (M)-is an important property of life. In general, this relationship has been summarized by the scaling function, R = aM. Both the scaling elevation (a) and the scaling exponent (b) have been shown to diverge among taxa and ecological groups. However, it is unclear whether this ecological divergence observed in unitary organisms also occurs at higher levels of biological organization, such as eusocial colonies. We used the published literature to assemble the estimates of the metabolic rate of active colonies and their mass for 51 species of ants, along with three ecologically important traits with available data: trophic level (herbivorous to predaceous), foraging coordination level (solitary to trunk trail) and caste polymorphism (polymorphic vs. monomorphic). Interspecific colony metabolic scaling was steeper (higher b) in species occupying higher trophic levels and in species with polymorphic versus monomorphic workers. Species occupying higher trophic levels also had a higher metabolic level (higher a). These findings are consistent with divergent selection on colony-level metabolic scaling. We conclude that the ecological dependence of metabolic scaling has evolved across levels of biological organization and should be explicitly considered by both metabolic and social evolution theories.
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http://dx.doi.org/10.1111/1365-2656.70055 | DOI Listing |
Life Sci Alliance
November 2025
Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan
Mass-based fingerprinting can characterize microorganisms; however, expansion of these methods to predict specific gene functions is lacking. Therefore, mass fingerprinting was developed to functionally profile a yeast knockout library. Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) fingerprints of 3,238 knockouts were digitized for correlation with gene ontology (GO).
View Article and Find Full Text PDFMicrobes Environ
September 2025
Sustainable Process Engineering Center, Department of Chemical Engineering, Faculty of Engineering, Universiti Malaya.
Nitrifying communities in activated sludge play a crucial role in biological nitrogen removal processes in municipal wastewater treatment plants. While extensive research has been conducted in temperate regions, limited information is available on nitrifiers in tropical regions. The present study investigated all currently known nitrifying communities in two full-scale municipal wastewater treatment plants in Malaysia operated under low-dissolved oxygen (DO) (0.
View Article and Find Full Text PDFMetab Syndr Relat Disord
September 2025
Yale School of Medicine, New Haven, Connecticut, USA.
Poor sleep has been identified as a strong risk factor for metabolic syndrome. Shift workers, who often experience reduced and misaligned sleep due to nighttime work schedules, are particularly susceptible to both sleep disturbances and metabolic syndrome. However, the interplay among shift work, sleep disturbances, and metabolic syndrome remains insufficiently explored.
View Article and Find Full Text PDFMetab Eng
September 2025
Department of Chemical Engineering, the Pennsylvania State University, University Park, Pennsylvania, USA; Center for Bioenergy Innovation, Oak Ridge, Tennessee, USA. Electronic address:
Clostridium thermocellum is an increasingly well-studied organism with considerable advantages for consolidated bioprocessing towards ethanol production. Here, a genome-scale resource balance analysis (RBA) model of C. thermocellum, ctRBA, is reconstructed based on a recently published stoichiometric model (iCTH669), global proteomics, and C MFA datasets to analyze proteome allocation and the burden imposed on metabolism with regard to ethanol yield and titer.
View Article and Find Full Text PDFBiotechnol Adv
September 2025
College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruit and Vegetable Processing, Beijing, China; Key Laboratory of Fruit and Vegetable Processing, Ministry of Agriculture and Rural Affairs, Beijing, Ch
Precision fermentation represents an innovative cell-based production approach that employs synthetic biology and metabolic engineering tools, revolutionizing global food production by utilizing "microbial cell factories" to produce added-value ingredients. However, its global implementation is hindered by technological and scalability bottlenecks, regulatory fragmentation, regional accessibility and consumer acceptance, and nutritional trade-offs challenges. This review utilizes illustrated case studies and modeling analysis to present a detailed exploration of precision fermentation intersecting with global cell-based food production, discussing actionable research gaps and insights as well as advanced bioengineering practices and analytical techniques, to address these challenges for ongoing academic research, industrial applications and policy initiatives, thus supporting the transition of fermentation-enabled food production toward efficient and sustainable manufacturing.
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