Body mass variation is negatively associated with brain size: Evidence for the fat‐brain trade‐off in anurans

Evolution ◽  
2020 ◽  
Vol 74 (7) ◽  
pp. 1551-1557
Author(s):  
Yan Huang ◽  
Chun Lan Mai ◽  
Wen Bo Liao ◽  
Alexander Kotrschal
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bruno Simmen ◽  
Luca Morino ◽  
Stéphane Blanc ◽  
Cécile Garcia

AbstractLife history, brain size and energy expenditure scale with body mass in mammals but there is little conclusive evidence for a correlated evolution between life history and energy expenditure (either basal/resting or daily) independent of body mass. We addressed this question by examining the relationship between primate free-living daily energy expenditure (DEE) measured by doubly labeled water method (n = 18 species), life history variables (maximum lifespan, gestation and lactation duration, interbirth interval, litter mass, age at first reproduction), resting metabolic rate (RMR) and brain size. We also analyzed whether the hypometabolic primates of Madagascar (lemurs) make distinct energy allocation tradeoffs compared to other primates (monkeys and apes) with different life history traits and ecological constraints. None of the life-history traits correlated with DEE after controlling for body mass and phylogeny. In contrast, a regression model showed that DEE increased with increasing RMR and decreasing reproductive output (i.e., litter mass/interbirth interval) independent of body mass. Despite their low RMR and smaller brains, lemurs had an average DEE remarkably similar to that of haplorhines. The data suggest that lemurs have evolved energy strategies that maximize energy investment to survive in the unusually harsh and unpredictable environments of Madagascar at the expense of reproduction.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 511 ◽  
Author(s):  
Laura McDonald ◽  
Faisal Mehmud ◽  
Sreeram V. Ramagopalan

Recent studies have used mainstream consumer devices (Fitbit) to assess sleep objectively and test the well documented association between sleep and body mass index (BMI). In order to further investigate the applicability of Fitbit data for biomedical research across the globe, we analysed openly available Fitbit data from a largely Chinese population. We found that after adjusting for age, gender, race, and average number of steps taken per day, average hours of sleep per day was negatively associated with BMI (p=0.02), further demonstrating the significant potential for wearables in international scientific research.


Ethology ◽  
2003 ◽  
Vol 109 (12) ◽  
pp. 971-979 ◽  
Author(s):  
Marta Barluenga ◽  
Andrés Barbosa ◽  
Eulalia Moreno

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yi Luo ◽  
Mao Jun Zhong ◽  
Yan Huang ◽  
Feng Li ◽  
Wen Bo Liao ◽  
...  

Oecologia ◽  
2013 ◽  
Vol 174 (2) ◽  
pp. 447-458 ◽  
Author(s):  
Ivar Herfindal ◽  
Hallvard Haanes ◽  
Erling J. Solberg ◽  
Knut H. Røed ◽  
Kjell Arild Høgda ◽  
...  

Thorax ◽  
2016 ◽  
Vol 71 (Suppl 3) ◽  
pp. A218.1-A218
Author(s):  
A Thavakumar ◽  
AKA Wright ◽  
MA Ghebre ◽  
T Thornton ◽  
CE Brightling

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