Nucleotypic Effect in Homeotherms: Body-Mass Independent Resting Metabolic Rate of Passerine Birds is Related to Genome Size

Evolution ◽  
1997 ◽  
Vol 51 (1) ◽  
pp. 220 ◽  
Author(s):  
Alexander E. Vinogradov
Keyword(s):  
Metabolic Rate ◽  
Genome Size ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Passerine Birds

Prepregnancy Body Mass Index and Resting Metabolic Rate during Pregnancy

2010 ◽  
Vol 57 (3-4) ◽  
pp. 221-227 ◽  
Author(s):  
Katarina Melzer ◽  
Yves Schutz ◽  
Nina Soehnchen ◽  
Veronique Othenin Girard ◽  
Begona Martinez de Tejada ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Metabolic Rate ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Prepregnancy Body Mass Index

scholarly journals Effects of different types of training on weight loss

2019 ◽  
Vol 72 (9-10) ◽  
pp. 272-279
Author(s):  
Danijel Slavic ◽  
Dea Karaba-Jakovljevic ◽  
Andrea Zubnar ◽  
Borislav Tapavicki ◽  
Tijana Aleksandric ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Young Male ◽  
Fat Free Mass ◽  
Daily Energy Expenditure ◽  
Total Body Mass ◽  
Daily Energy ◽  
Different Types

Introduction. The difference between 24-hour daily energy intake and total daily energy expenditure determines whether we lose or gain weight. The resting metabolic rate is the major component of daily energy expenditure, which depends on many different factors, but also on the level of physical activity. The aim of the study was to determine anthropometric and metabolic parameters of athletes engaged in different types of training, to compare obtained results and to examine whether there are statistically significant differences among them. Material and Methods. The study included a total of 42 young male athletes divided into two groups. The first group included 21 athletes who were predominantly engaged in aerobic type of training, and the other group of 21 athletes in anaerobic type of training. Anthropometric measurements were taken and resting metabolic rate was assessed using the indirect calorimetry method. The results were statistically analyzed and the differences in parameters between the two groups were compared. Results. Statistically significant differences were established in total body mass, amount of fat-free mass and muscle mass, body mass index, as well as in the relative metabolic indices between two groups of subjects. Conclusion. The percentage of fat-free body mass has the greatest impact on the resting metabolic rate. The rate of metabolic activity of this body compartment is higher in athletes engaged in aerobic than in athletes engaged in anaerobic type of training.

scholarly journals The Relationship Between Modified Nordic Diet and Resting Metabolic Rate Among Overweight and Obese Participants: A Cross Sectional Study

2020 ◽  
Author(s):  
Ghazaleh Khalili ◽  
Atieh Mirzababaei ◽  
Farideh Shiraseb ◽  
Khadijeh Mirzaei
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Metabolic Rate ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Lower Odds ◽  
Nordic Diet

Abstract Objective: Obesity as a worldwide phenomenon is a multifactorial condition. Healthy diets have effect on obesity related factors like resting metabolic rate (RMR). In present study, we investigate association between adherence to modified Nordic diet and RMR among overweight and obese participants.Methods: We enrolled 404 overweight and obese (BMI ≥25 kg/m2) women aged 18-48 years in this cross-sectional study. For each participant anthropometrics measurements, biochemical tests and blood pressure were evaluated. RMR was measured by indirect calorimetry. RMR/kg was also measured. Modified Nordic diet score was measured using a validated 147-item food frequency questionnaire (FFQ).Results: Among all participants, the mean and standard deviation (SD) for age and body mass index (BMI) were 36.67 years (SD=9.10) and 31.26 kg/m2 (SD=4.29). There was a significant association between RMR/kg status and age, body mass index (BMI), RMR (P<0.001), respiratory quotient (RQ), fat percentage (P= 0.01), systolic blood pressure (SBP) (P= 0.03), and diastolic blood pressure (DBP) (P= 0.04), after adjustment for age, BMI, energy intake and physical activity. Participants with the highest adherence to modified Nordic diet had lower odds of hypometabolic status after adjusting for confounders and it was significant (odds ratio (OR) = 3.15, 95% CI= 0.97-10.15, P=0.05).Conclusions: The present results indicate that adherence to modified Nordic diet is associated with lower odds of hypometabolic status in overweight and obese women. However more studies are needed to confirm our findings.

scholarly journals The Allometric Relationship between Resting Metabolic Rate and Body Mass in Wild Waterfowl (Anatidae) and an Application to Estimation of Winter Habitat Requirements

The Condor ◽  
2006 ◽  
Vol 108 (1) ◽  
pp. 166-177 ◽  
Author(s):  
Michael R. Miller ◽  
John McA. Eadie
Keyword(s):  
Metabolic Rate ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Allometric Relationship ◽  
Daily Cycle ◽  
Winter Habitat ◽  
Wintering Waterfowl ◽  
Significant Difference ◽  
Daily Energy ◽  
Wild Waterfowl

AbstractWe examined the allometric relationship between resting metabolic rate (RMR; kJ day−1) and body mass (kg) in wild waterfowl (Anatidae) by regressing RMR on body mass using species means from data obtained from published literature (18 sources, 54 measurements, 24 species; all data from captive birds). There was no significant difference among measurements from the rest (night; n = 37), active (day; n = 14), and unspecified (n = 3) phases of the daily cycle (P > 0.10), and we pooled these measurements for analysis. The resulting power function (aMassb) for all waterfowl (swans, geese, and ducks) had an exponent (b; slope of the regression) of 0.74, indistinguishable from that determined with commonly used general equations for nonpasserine birds (0.72–0.73). In contrast, the mass proportionality coefficient (b; y-intercept at mass = 1 kg) of 422 exceeded that obtained from the nonpasserine equations by 29%–37%. Analyses using independent contrasts correcting for phylogeny did not substantially alter the equation. Our results suggest the waterfowl equation provides a more appropriate estimate of RMR for bioenergetics analyses of waterfowl than do the general nonpasserine equations. When adjusted with a multiple to account for energy costs of free living, the waterfowl equation better estimates daily energy expenditure. Using this equation, we estimated that the extent of wetland habitat required to support wintering waterfowl populations could be 37%–50% higher than previously predicted using general nonpasserine equations.

scholarly journals The relationship between genome size and metabolic rate in extant vertebrates

2020 ◽  
Vol 375 (1793) ◽  
pp. 20190146 ◽  
Author(s):  
Jacob D. Gardner ◽  
Michel Laurin ◽  
Chris L. Organ
Keyword(s):  
Metabolic Rate ◽  
Genome Size ◽  
Body Mass ◽  
Rate Variation ◽  
Large Nucleus ◽  
Functional Connection ◽  
Strong Positive Relationship ◽  
Elevated Rate ◽  
The Relationship ◽  
Rule Out

Genome size has long been hypothesized to affect the metabolic rate in various groups of animals. The mechanism behind this proposed association is the nucleotypic effect, in which large nucleus and cell sizes influence cellular metabolism through surface area-to-volume ratios. Here, we provide a review of the recent literature on the relationship between genome size and metabolic rate. We also conduct an analysis using phylogenetic comparative methods and a large sample of extant vertebrates. We find no evidence that the effect of genome size improves upon models in explaining metabolic rate variation. Not surprisingly, our results show a strong positive relationship between metabolic rate and body mass, as well as a substantial difference in metabolic rate between endothermic and ectothermic vertebrates, controlling for body mass. The presence of endothermy can also explain elevated rate shifts in metabolic rate whereas genome size cannot. We further find no evidence for a punctuated model of evolution for metabolic rate. Our results do not rule out the possibility that genome size affects cellular physiology in some tissues, but they are consistent with previous research suggesting little support for a direct functional connection between genome size and basal metabolic rate in extant vertebrates. This article is part of the theme issue ‘Vertebrate palaeophysiology’.

scholarly journals Scaling of statically derived osteocyte lacunae in extant birds: implications for palaeophysiological reconstruction

2019 ◽  
Vol 15 (4) ◽  
pp. 20180837 ◽  
Author(s):  
Orvil Grunmeier ◽  
Michael D. D'Emic
Keyword(s):  
Growth Rate ◽  
Metabolic Rate ◽  
Genome Size ◽  
Body Mass ◽  
Bird Species ◽  
Growth Rate Constant ◽  
Osteocyte Lacunae ◽  
Osteocyte Lacuna ◽  
The Relationship ◽  
Osteocyte Lacunar

Osteocytes are mature versions of osteoblasts, bone-forming cells that develop in two ways: via ‘static’ osteogenesis, differentiating and ossifying tissue in situ to form a scaffold upon which other bone can form, or ‘dynamic’ osteogenesis, migrating to infill or lay down bone around neurovasculature. A previous study regressed the volume of osteocyte lacunae derived from dynamic osteogenesis (DO) of a broad sample of extant bird species against body mass, the growth rate constant ( k ), mass-specific metabolic rate, genome size, and erythrocyte size. There were significant relationships with body mass, growth rate, metabolic rate, and genome size, with the latter being the strongest. Using the same avian histological dataset, we measured over 3800 osteocyte lacunar axes derived from static osteogenesis (SO) in order to look for differences in the strength of form–function relationships inferred for DO-derived lacunae at the cellular and tissue levels. The relationship between osteocyte lacunar volume and body mass was stronger when measuring SO lacunae, whereas relationships between osteocyte lacunar volume versus growth rate and basal metabolic rate disappeared. The relationship between osteocyte lacuna volume and genome size remained significant and moderately strong when measuring SO lacunae, whereas osteocyte lacuna volume was still unrelated to erythrocyte size. Our results indicate that growth and metabolic rate signals are contained in avian DO but not SO osteocyte lacunae, suggesting that the former should be used in estimating these parameters in extinct animals.

scholarly journals Metabolic reduction after long-duration flight is not related to fat-free mass loss or flight duration in a migratory passerine

2020 ◽  
Vol 223 (19) ◽  
pp. jeb215384
Author(s):  
Alexander R. Gerson ◽  
Joely G. DeSimone ◽  
Elizabeth C. Black ◽  
Morag F. Dick ◽  
Derrick J. Groom
Keyword(s):  
Metabolic Rate ◽  
Mass Loss ◽  
Body Mass ◽  
Lean Mass ◽  
Migratory Birds ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Flight Duration ◽  
Long Duration ◽  
Resting Metabolism

ABSTRACTMigratory birds catabolize large quantities of protein during long flights, resulting in dramatic reductions in organ and muscle mass. One of the many hypotheses to explain this phenomenon is that decrease in lean mass is associated with reduced resting metabolism, saving energy after flight during refueling. However, the relationship between lean body mass and resting metabolic rate remains unclear. Furthermore, the coupling of lean mass with resting metabolic rate and with peak metabolic rate before and after long-duration flight have not previously been explored. We flew migratory yellow-rumped warblers (Setophaga coronata) in a wind tunnel under one of two humidity regimes to manipulate the rate of lean mass loss in flight, decoupling flight duration from total lean mass loss. Before and after long-duration flights, we measured resting and peak metabolism, and also measured fat mass and lean body mass using quantitative magnetic resonance. Flight duration ranged from 28 min to 600 min, and birds flying under dehydrating conditions lost more fat-free mass than those flying under humid conditions. After flight, there was a 14% reduction in resting metabolism but no change in peak metabolism. Interestingly, the reduction in resting metabolism was unrelated to flight duration or to change in fat-free body mass, indicating that protein metabolism in flight is unlikely to have evolved as an energy-saving measure to aid stopover refueling, but metabolic reduction itself is likely to be beneficial to migratory birds arriving in novel habitats.

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