1
|
Dittmann MT, Lakatos G, Wainwright JF, Mokrosinski J, Cross E, Farooqi IS, Wallis NJ, Halsey LG, Wilson R, O’Rahilly S, Yeo GS, Raffan E. Low resting metabolic rate and increased hunger due to β-MSH and β-endorphin deletion in a canine model. Sci Adv 2024; 10:eadj3823. [PMID: 38446876 PMCID: PMC10917344 DOI: 10.1126/sciadv.adj3823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 01/31/2024] [Indexed: 03/08/2024]
Abstract
Mutations that perturb leptin-melanocortin signaling are known to cause hyperphagia and obesity, but energy expenditure has not been well studied outside rodents. We report on a common canine mutation in pro-opiomelanocortin (POMC), which prevents production of β-melanocyte-stimulating hormone (β-MSH) and β-endorphin but not α-MSH; humans, similar to dogs, produce α-MSH and β-MSH from the POMC propeptide, but rodents produce only α-MSH. We show that energy expenditure is markedly lower in affected dogs, which also have increased motivational salience in response to a food cue, indicating increased wanting or hunger. There was no difference in satiety at a modified ad libitum meal or in their hedonic response to food, nor disruption of adrenocorticotropic hormone (ACTH) or thyroid axes. In vitro, we show that β-MSH signals comparably to α-MSH at melanocortin receptors. These data implicate β-MSH and β-endorphin as important in determining hunger and moderating energy expenditure and suggest that this role is independent of the presence of α-MSH.
Collapse
Affiliation(s)
- Marie T. Dittmann
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Gabriella Lakatos
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Jodie F. Wainwright
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Jacek Mokrosinski
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Eloise Cross
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - I. Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
| | - Natalie J. Wallis
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Lewis G. Halsey
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Rory Wilson
- Department of Biosciences, Swansea University, Swansea, UK
| | - Stephen O’Rahilly
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Giles S.H. Yeo
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Eleanor Raffan
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| |
Collapse
|
2
|
Halsey LG, Areta JL, Koehler K. Does eating less or exercising more to reduce energy availability produce distinct metabolic responses? Philos Trans R Soc Lond B Biol Sci 2023; 378:20220217. [PMID: 37482781 PMCID: PMC10363695 DOI: 10.1098/rstb.2022.0217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023] Open
Abstract
When less energy is available to consume, people often lose weight, which reduces their overall metabolic rate. Their cellular metabolic rate may also decrease (metabolic adaptation), possibly reflected in physiological and/or endocrinological changes. Reduced energy availability can result from calorie restriction or increased activity energy expenditure, raising the following question that our review explores: do the body's metabolic and physiological responses to this reduction differ or not depending on whether they are induced by dietary restriction or increased activity? First, human studies offer indirect, contentious evidence that the body metabolically adapts to reduced energy availability, both in response to either a calorie intake deficit or increased activity (exercise; without a concomitant increase in food intake). Considering individual aspects of the body's physiology as constituents of whole-body metabolic rate, similar responses to reduced energy availability are observed in terms of reproductive capacity, somatic maintenance and hormone levels. By contrast, tissue phenotypic responses differ, most evidently for skeletal tissue, which is preserved in response to exercise but not calorie restriction. Thus, while in many ways 'a calorie deficit is a calorie deficit', certain tissues respond differently depending on the energy deficit intervention. This article is part of a discussion meeting issue 'Causes of obesity: theories, conjectures and evidence (Part I)'.
Collapse
Affiliation(s)
| | - José L Areta
- Liverpool John Moores University, Liverpool, L3 3AF, UK
| | | |
Collapse
|
3
|
Halsey LG, Careau V, Ainslie PN, Alemán-Mateo H, Andersen LF, Anderson LJ, Arab L, Baddou I, Bandini L, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Bovet P, Brage S, Buchowski MS, Butte NF, Camps SG, Casper R, Close GL, Colbert LH, Cooper JA, Cooper R, Dabare P, Das SK, Davies PSW, Deb S, Nyström CD, Dietz W, Dugas LR, Eaton S, Ekelund U, Hamdouchi AE, Entringer S, Forrester T, Fudge BW, Gillingham M, Goris AH, Gurven M, Haisma H, Hambly C, Hoffman DJ, Hoos MB, Hu S, Joonas N, Joosen A, Katzmarzyk P, Kempen KP, Kimura M, Kraus WE, Kriengsinyos W, Kuriyan R, Kushner RF, Lambert EV, Lanerolle P, Larsson CL, Lessan N, Löf M, Martin CK, Matsiko E, Meijer GA, Morehen JC, Morton JP, Must A, Neuhouser M, Nicklas TA, Ojiambo RM, Pietilainen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Rabinovich R, Racette SB, Raichen DA, Ravussin E, Redman L, Reilly JJ, Reynolds RM, Roberts S, Samaranayake D, Sardinha LB, Schuit AJ, Silva AM, Sinha S, Sjödin AM, Stice E, Stunkard A, Urlacher SS, Valencia ME, Valenti G, van Etten LM, Van Mil EA, Verbunt JA, Wells JCK, Wilson G, Wood B, Yoshida T, Zhang X, Murphy-Alford A, Loechl C, Luke A, Pontzer H, Rood J, Sagayama H, Westerterp KR, Wong WW, Yamada Y, Speakman JR. Greater male variability in daily energy expenditure develops through puberty. Biol Lett 2023; 19:20230152. [PMID: 37727077 PMCID: PMC10509569 DOI: 10.1098/rsbl.2023.0152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/31/2023] [Indexed: 09/21/2023] Open
Abstract
There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at different life stages, along with several morphological traits: height, fat free mass and fat mass. Total EE, and to some degree also activity EE, exhibit considerable greater male variation (GMV) in young adults, and then a decreasing GMV in progressively older individuals. Arguably, basal EE, and also morphometrics, do not exhibit this pattern. These findings suggest that single male sexual characteristics may not exhibit peak GMV in young adulthood, however total and perhaps also activity EE, associated with many morphological and physiological traits combined, do exhibit GMV most prominently during the reproductive life stages.
Collapse
Affiliation(s)
- Lewis G. Halsey
- School of Life and Health Sciences, University of Roehampton, London SW15 4JD, UK
| | - Vincent Careau
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Philip N. Ainslie
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Heliodoro Alemán-Mateo
- Coordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Carretera Gustavo Enrique Astiazarán Rosas, No. 46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Lene F. Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, Norway
| | - Liam J. Anderson
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Leonore Arab
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Issad Baddou
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN-Université Ibn Tofail, Rabat, PC.10100, Morocco
| | - Linda Bandini
- University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Ellen E. Blaak
- Department of Human Biology, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, 6200 MD, Netherlands
| | - Stephane Blanc
- Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, Strasbourg, France
| | | | - Carlijn V. C. Bouten
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven Unversity of Technology, Eindhoven, The Netherlands
| | - Pascal Bovet
- University Center for primary care and public health (Unisante), 1012 Lausanne, Switzerland
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Maciej S. Buchowski
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Nancy F. Butte
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, 77030, USA
| | - Stephan G. Camps
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Regina Casper
- Stanford University School of Medicine, Department of Psychiatry, Stanford, CA 94305, USA
| | - Graeme L. Close
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | | | | | - Richard Cooper
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL 60153, USA
| | - Prasangi Dabare
- Department of Physiotherapy, Faculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Sri Lanka
| | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, 02111, USA
| | - Peter S. W. Davies
- Child Health Research Centre, Level 6 Centre for Children's Health Research, University of Queensland, 62 Graham Street, South Brisbane, Queensland, 4101, Australia
| | - Sanjoy Deb
- Centre for Nutraceuticals, School of Life Sciences, University of Westminster, London, UK
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | - Lara R. Dugas
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL 60153, USA
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Simon Eaton
- UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, PO Box 4014, 0806 Ulleval Stadion, Oslo, Norway
| | - Asmaa El Hamdouchi
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN-Université Ibn Tofail, Rabat, PC.10100, Morocco
| | - Sonja Entringer
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
- University of California Irvine, Irvine, CA, USA
| | - Terrence Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston, Jamaica
| | - Barry W. Fudge
- Physiology Department, Aspire Academy, Doha, PO Box 22287, Qatar
| | - Melanie Gillingham
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Annelies H. Goris
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Hinke Haisma
- Population Research Centre, Faculty of Spatial Sciences, Landleven 1, 9747AD, University of Groningen, Groningen, Netherlands
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, UK
| | - Daniel J. Hoffman
- Department of Nutritional Sciences, Program in International Nutrition, Rutgers University, New Brunswick, NJ 08901 USA
| | - Marije B. Hoos
- Department of Human Biology, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, 6200 MD, Netherlands
| | - Sumei Hu
- Institute of Genetics and development Biology, Chinese Academy of Sciences, Beichen Xi lu, Beijing, People's Republic of China
| | - Noorjehan Joonas
- Central health Laboratory, Ministry of Health and Wellness, Port Louis, 72259, Mauritius
| | - Annemiek Joosen
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Peter Katzmarzyk
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Kitty P. Kempen
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Misaka Kimura
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
| | | | | | - Rebecca Kuriyan
- Division of Nutrition, St John's Research Institute, Bangalore, Karnataka - 560034, India
| | | | - Estelle V. Lambert
- Health through Physical Activity, Lifestyle and Sport Research Centre, Division of Exercise Science and Sports Medicine (ESSM), FIMS International Collaborating Centre of Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Pulani Lanerolle
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Christel L. Larsson
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg SE-405 30, Sweden
| | - Nader Lessan
- Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates
| | - Marie Löf
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Corby K. Martin
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Eric Matsiko
- Department of Human Nutrition and Dietetics, University of Rwanda, Kigali, Rwanda
| | - Gerwin A. Meijer
- Department of Human Biology, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, 6200 MD, Netherlands
| | - James C. Morehen
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - James P. Morton
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Aviva Must
- Tufts University School of Medicine, Boston, USA
| | - Marian Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, 98109, USA
| | - Theresa A. Nicklas
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, 77030, USA
| | - Robert M. Ojiambo
- Moi University, Eldoret, Kenya
- University of Global Health Equity, Rwanda
| | | | | | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Ross L. Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, 98109, USA
| | | | - Susan B. Racette
- College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA
| | - David A. Raichen
- Biological Sciences and Anthropology, University of Southern California, CA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Leanne Redman
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - John J. Reilly
- Department of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Rebecca M. Reynolds
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, UK
| | - Susan Roberts
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, 02111, USA
| | - Dulani Samaranayake
- Department of Community Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Luís B. Sardinha
- Exercise and health laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Portugal
| | - Albertine J. Schuit
- Executive Board, Tilburg University, Tilburg, Noord-Brabant, 5037 AB, The Netherlands
| | - Analiza M. Silva
- Exercise and health laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Portugal
| | - Srishti Sinha
- Division of Nutrition, St John's Research Institute, Bangalore, Karnataka - 560034, India
| | - Anders M. Sjödin
- Department of Nutrition, Exercise and Sports, Copenhagen University, Copenhagen, Denmark
| | - Eric Stice
- PhD Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA 94305
| | - Albert Stunkard
- University of Pennsylvania Perelman School of Medicine Department of Psychiatry
| | | | - Mauro Eduardo Valencia
- Coordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Carretera Gustavo Enrique Astiazarán Rosas, No. 46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Giulio Valenti
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Ludo M. van Etten
- Department of Nutrition and Movement Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Edgar A. Van Mil
- Chair Youth, Food and Health, Maastricht University, 5911 BV, Venlo, and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital 5223 GW `s-Hertogenbosch, The Netherlands
| | - Jeanine A. Verbunt
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Jonathan C. K. Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
| | - George Wilson
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Brian Wood
- University of California Los Angeles, Los Angeles, 90095, USA
- Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Alexia Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Amy Luke
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL 60153, USA
| | - Herman Pontzer
- Dept. of Evolutionary Anthropology, Duke University, Durham NC 27708, USA
- Duke Global Health Institute, Duke University, Durham NC 27708, USA
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Klaas R. Westerterp
- Department of Human Biology, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, 6200 MD, Netherlands
| | - William W. Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, 77030, USA
| | - Yosuke Yamada
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - John R. Speakman
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, UK
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | | |
Collapse
|
4
|
Halsey LG, Esteves GP, Dolan E. Variability in variability: does variation in morphological and physiological traits differ between men and women? R Soc Open Sci 2023; 10:230713. [PMID: 37680495 PMCID: PMC10480696 DOI: 10.1098/rsos.230713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/14/2023] [Indexed: 09/09/2023]
Abstract
Many researchers presume greater variability between female participants than between males due to the menstrual cycle. This view has encouraged a sex bias in health and medical research, resulting in considerable knowledge gaps with important clinical implications. Yet in another field-evolutionary biology-the received wisdom is the reverse: that men are more variable, possibly due to male heterogamety. To test these competing hypotheses, we compared variance between the sexes for 50 morphological and physiological traits, analysing data from the NHANES database. Nearly half the traits did not exhibit sexual dimorphism in variation, while 18 exhibited greater female variation (GFV), indicating GFV does not dominate human characteristics. Only eight traits exhibited greater male variation (GMV), indicating GMV also does not dominate, and in turn offering scant support for the heterogamety hypothesis. When our analysis was filtered to include only women with regular menstrual cycles (and men of equivalent age), the number of traits with GFV and GMV were low and not statistically different, suggesting that the menstrual cycle does not typically explain GFV when it occurs. In practical terms, health and medical researchers should no longer simply assume that female participants will induce additional variation in the traits of interest.
Collapse
Affiliation(s)
- Lewis G. Halsey
- School of Life and Health Sciences, University of Roehampton, London SW15 4JD, UK
| | - Gabriel P. Esteves
- Applied Physiology and Nutrition Research Group, Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Eimear Dolan
- Applied Physiology and Nutrition Research Group, Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, Brazil
| |
Collapse
|
5
|
Metcalfe NB, Bellman J, Bize P, Blier PU, Crespel A, Dawson NJ, Dunn RE, Halsey LG, Hood WR, Hopkins M, Killen SS, McLennan D, Nadler LE, Nati JJH, Noakes MJ, Norin T, Ozanne SE, Peaker M, Pettersen AK, Przybylska-Piech A, Rathery A, Récapet C, Rodríguez E, Salin K, Stier A, Thoral E, Westerterp KR, Westerterp-Plantenga MS, Wojciechowski MS, Monaghan P. Solving the conundrum of intra-specific variation in metabolic rate: A multidisciplinary conceptual and methodological toolkit: New technical developments are opening the door to an understanding of why metabolic rate varies among individual animals of a species: New technical developments are opening the door to an understanding of why metabolic rate varies among individual animals of a species. Bioessays 2023; 45:e2300026. [PMID: 37042115 DOI: 10.1002/bies.202300026] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 04/13/2023]
Abstract
Researchers from diverse disciplines, including organismal and cellular physiology, sports science, human nutrition, evolution and ecology, have sought to understand the causes and consequences of the surprising variation in metabolic rate found among and within individual animals of the same species. Research in this area has been hampered by differences in approach, terminology and methodology, and the context in which measurements are made. Recent advances provide important opportunities to identify and address the key questions in the field. By bringing together researchers from different areas of biology and biomedicine, we describe and evaluate these developments and the insights they could yield, highlighting the need for more standardisation across disciplines. We conclude with a list of important questions that can now be addressed by developing a common conceptual and methodological toolkit for studies on metabolic variation in animals.
Collapse
Affiliation(s)
- Neil B Metcalfe
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Jakob Bellman
- Department of Physiology, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Pierre Bize
- Swiss Ornithological Institute, Sempach, Switzerland
| | - Pierre U Blier
- Département de Biologie, Université de Québec à Rimouski, Rimouski, Canada
| | - Amélie Crespel
- Department of Biology, University of Turku, Turku, Finland
| | - Neal J Dawson
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Ruth E Dunn
- Lancaster Environment Centre, University of Lancaster, Lancaster, UK
| | - Lewis G Halsey
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Wendy R Hood
- Department of Biological Sciences, Auburn University, Auburn, USA
| | - Mark Hopkins
- School of Food Science and Nutrition, Leeds University, Leeds, UK
| | - Shaun S Killen
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Darryl McLennan
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Lauren E Nadler
- Ocean and Earth Science, NOC, University of Southampton, Southampton, UK
| | - Julie J H Nati
- Ocean Sciences Center, Memorial University of Newfoundland, St John's, Canada
| | - Matthew J Noakes
- School of Animal, Plant, and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Tommy Norin
- DTU Aqua: National Institute of Aquatic Resources, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Susan E Ozanne
- Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Amanda K Pettersen
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
- School of Life & Environmental Sciences, The University of Sydney, Sydney, Australia
| | - Anna Przybylska-Piech
- Department of Vertebrate Zoology & Ecology, Nicolaus Copernicus University, Toruń, Poland
| | - Alann Rathery
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Charlotte Récapet
- Universite de Pau et des Pays de l'Adour, E2S UPPA, INRAE, ECOBIOP, Saint-Pée-sur-, Nivelle, France
| | - Enrique Rodríguez
- Department of Genetics, Evolution & Environment, University College London, London, UK
| | - Karine Salin
- IFREMER, Univ Brest, CNRS, IRD, Laboratory of Environmental Marine Sciences, Plouzané, France
| | - Antoine Stier
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, Villeurbanne, France
| | - Elisa Thoral
- Department of Biology, Lund University, Lund, Sweden
| | - Klaas R Westerterp
- Department of Nutrition & Movement Sciences, Maastricht University, Maastricht, The Netherlands
| | | | - Michał S Wojciechowski
- Department of Vertebrate Zoology & Ecology, Nicolaus Copernicus University, Toruń, Poland
| | - Pat Monaghan
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| |
Collapse
|
6
|
He RS, De Ruiter S, Westover T, Somarelli JA, Blawas AM, Dayanidhi DL, Singh A, Steves B, Driesinga S, Halsey LG, Fahlman A. Allometric scaling of metabolic rate and cardiorespiratory variables in aquatic and terrestrial mammals. Physiol Rep 2023; 11:e15698. [PMID: 37271741 PMCID: PMC10239733 DOI: 10.14814/phy2.15698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 04/21/2023] [Accepted: 04/23/2023] [Indexed: 06/06/2023] Open
Abstract
While basal metabolic rate (BMR) scales proportionally with body mass (Mb ), it remains unclear whether the relationship differs between mammals from aquatic and terrestrial habitats. We hypothesized that differences in BMR allometry would be reflected in similar differences in scaling of O2 delivery pathways through the cardiorespiratory system. We performed a comparative analysis of BMR across 63 mammalian species (20 aquatic, 43 terrestrial) with a Mb range from 10 kg to 5318 kg. Our results revealed elevated BMRs in small (>10 kg and <100 kg) aquatic mammals compared to small terrestrial mammals. The results demonstrated that minute ventilation, that is, tidal volume (VT )·breathing frequency (fR ), as well as cardiac output, that is, stroke volume·heart rate, do not differ between the two habitats. We found that the "aquatic breathing strategy", characterized by higher VT and lower fR resulting in a more effective gas exchange, and by elevated blood hemoglobin concentrations resulting in a higher volume of O2 for the same volume of blood, supported elevated metabolic requirements in aquatic mammals. The results from this study provide a possible explanation of how differences in gas exchange may serve energy demands in aquatic versus terrestrial mammals.
Collapse
Affiliation(s)
- Rebecca S. He
- Duke University Marine LaboratoryNicholas School of the EnvironmentBeaufortNorth CarolinaUSA
- Department of BiologyDuke UniversityDurhamNorth CarolinaUSA
| | - Stacy De Ruiter
- Department of Mathematics and StatisticsCalvin UniversityGrand RapidsMichiganUSA
| | - Tristan Westover
- Duke University Marine LaboratoryNicholas School of the EnvironmentBeaufortNorth CarolinaUSA
- Department of BiologyDuke UniversityDurhamNorth CarolinaUSA
| | - Jason A. Somarelli
- Department of MedicineDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Ashley M. Blawas
- Duke University Marine LaboratoryNicholas School of the EnvironmentBeaufortNorth CarolinaUSA
- Department of MedicineDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Divya L. Dayanidhi
- Department of MedicineDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Ana Singh
- Department of Mathematics and StatisticsCalvin UniversityGrand RapidsMichiganUSA
| | - Benjamin Steves
- Department of Mathematics and StatisticsCalvin UniversityGrand RapidsMichiganUSA
| | - Samantha Driesinga
- Department of Mathematics and StatisticsCalvin UniversityGrand RapidsMichiganUSA
| | - Lewis G. Halsey
- School of Life and Health SciencesUniversity of RoehamptonLondonUK
| | - Andreas Fahlman
- Fundación Oceanogràfic de la Comunitat ValencianaValenciaSpain
- Kolmarden Wildlife ParkKolmardenSweden
- Linkoping University, IFMLinköpingSweden
| |
Collapse
|
7
|
Speakman JR, de Jong JMA, Sinha S, Westerterp KR, Yamada Y, Sagayama H, Ainslie PN, Anderson LJ, Arab L, Bedu-Addo K, Blanc S, Bonomi AG, Bovet P, Brage S, Buchowski MS, Butte NF, Camps SGJA, Cooper JA, Cooper R, Das SK, Davies PSW, Dugas LR, Ekelund U, Entringer S, Forrester T, Fudge BW, Gillingham M, Ghosh S, Goris AH, Gurven M, Halsey LG, Hambly C, Haisma HH, Hoffman D, Hu S, Joosen AM, Kaplan JL, Katzmarzyk P, Kraus WE, Kushner RF, Leonard WR, Löf M, Martin CK, Matsiko E, Medin AC, Meijer EP, Neuhouser ML, Nicklas TA, Ojiambo RM, Pietiläinen KH, Plange-Rhule J, Plasqui G, Prentice RL, Racette SB, Raichlen DA, Ravussin E, Redman LM, Roberts SB, Rudolph MC, Sardinha LB, Schuit AJ, Silva AM, Stice E, Urlacher SS, Valenti G, Van Etten LM, Van Mil EA, Wood BM, Yanovski JA, Yoshida T, Zhang X, Murphy-Alford AJ, Loechl CU, Kurpad A, Luke AH, Pontzer H, Rodeheffer MS, Rood J, Schoeller DA, Wong WW. Total daily energy expenditure has declined over the past three decades due to declining basal expenditure, not reduced activity expenditure. Nat Metab 2023; 5:579-588. [PMID: 37100994 PMCID: PMC10445668 DOI: 10.1038/s42255-023-00782-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 03/08/2023] [Indexed: 04/28/2023]
Abstract
Obesity is caused by a prolonged positive energy balance1,2. Whether reduced energy expenditure stemming from reduced activity levels contributes is debated3,4. Here we show that in both sexes, total energy expenditure (TEE) adjusted for body composition and age declined since the late 1980s, while adjusted activity energy expenditure increased over time. We use the International Atomic Energy Agency Doubly Labelled Water database on energy expenditure of adults in the United States and Europe (n = 4,799) to explore patterns in total (TEE: n = 4,799), basal (BEE: n = 1,432) and physical activity energy expenditure (n = 1,432) over time. In males, adjusted BEE decreased significantly, but in females this did not reach significance. A larger dataset of basal metabolic rate (equivalent to BEE) measurements of 9,912 adults across 163 studies spanning 100 years replicates the decline in BEE in both sexes. We conclude that increasing obesity in the United States/Europe has probably not been fuelled by reduced physical activity leading to lowered TEE. We identify here a decline in adjusted BEE as a previously unrecognized factor.
Collapse
Affiliation(s)
- John R Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK.
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
- CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China.
| | - Jasper M A de Jong
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Srishti Sinha
- St Johns Medical college, Bengaluru, India
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Klaas R Westerterp
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands.
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan.
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan.
| | - Philip N Ainslie
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Liam J Anderson
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - Lenore Arab
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Stephane Blanc
- Nutritional Sciences, University of Wisconsin, Madison, WI, USA
- Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, Strasbourg, France
| | | | - Pascal Bovet
- University Center for Primary care and Public Health (Unisanté), Lausanne University Hospital, Lausanne, Switzerland
- Ministry of Health, Victoria, Seychelles
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Maciej S Buchowski
- Division of Gastroenterology, Hepatology and Nutritiion, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Nancy F Butte
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
| | - Stefan G J A Camps
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Jamie A Cooper
- Nutritional Sciences, University of Wisconsin, Madison, WI, USA
- Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Richard Cooper
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
| | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Peter S W Davies
- Child Health Research Centre, Centre for Children's Health Research, University of Queensland, South Brisbane, Queensland, Australia
| | - Lara R Dugas
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
- University of California Irvine, Irvine, CA, USA
| | - Terrence Forrester
- Solutions for Developing Countries, University of the West Indies, Kingston, Jamaica
| | | | - Melanie Gillingham
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | | | - Annelies H Goris
- IMEC within OnePlanet Research Center, Wageningen, the Netherlands
| | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Lewis G Halsey
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Hinke H Haisma
- Population Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, the Netherlands
| | - Daniel Hoffman
- Department of Nutritional Sciences, Program in International Nutrition, Rutgers University, New Brunswick, NJ, USA
| | - Sumei Hu
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing, China
| | - Annemiek M Joosen
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Jennifer L Kaplan
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
| | | | | | | | - William R Leonard
- Department of Anthropology, Northwestern University, Evanston, IL, USA
| | - Marie Löf
- Department of Biosciences and Nutrition, Karolinska Institute, Stockholm, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Eric Matsiko
- Department of Human Nutrition and Dietetics, University of Rwanda, Kigali, Rwanda
| | - Anine C Medin
- Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Erwin P Meijer
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Theresa A Nicklas
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
| | - Robert M Ojiambo
- Moi University, Eldoret, Kenya
- University of Global Health Equity, Kigali, Rwanda
| | | | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, the Netherlands
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Susan B Racette
- Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Raichlen
- Biological Sciences and Anthropology, University of Southern California, Los Angeles, CA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | | | - Susan B Roberts
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Michael C Rudolph
- Department of Physiology and Harold Hamm Diabetes Center, Oklahoma University Health Sciences, Oklahoma City, OK, USA
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | | | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | | | - Samuel S Urlacher
- Department of Anthropology, Baylor University, Waco, TX, USA
- Child and Brain Development program, CIFAR, Toronto, Ontario, Canada
| | - Giulio Valenti
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Ludo M Van Etten
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Edgar A Van Mil
- Maastricht University, Campus Venlo and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital's-Hertogenbosch, Hertogenbosch, the Netherlands
| | - Brian M Wood
- University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Jack A Yanovski
- Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Alexia J Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia U Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | | | - Amy H Luke
- Division of Epidemiology, Department of Public Health Sciences, Loyola University School of Medicine, Maywood, IL, USA.
| | - Herman Pontzer
- Evolutionary Anthropology, Duke University, Durham, NC, USA.
- Duke Global Health Institute, Duke University, Durham, NC, USA.
| | - Matthew S Rodeheffer
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
- Center of Molecular and Systems Metabolism, Yale University, New Haven, CT, USA.
- Department of Physiology, Yale University, New Haven, CT, USA.
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, USA.
| | - Dale A Schoeller
- Biotech Center and Nutritional Sciences, University of Wisconsin, Madison, WI, USA.
| | - William W Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA.
| |
Collapse
|
8
|
Nati JJH, Halsey LG, Johnson PCD, Lindström J, Killen SS. Does aerobic scope influence geographical distribution of teleost fishes? Conserv Physiol 2023; 11:coad012. [PMID: 37006338 PMCID: PMC10061159 DOI: 10.1093/conphys/coad012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 01/20/2023] [Accepted: 03/16/2023] [Indexed: 06/19/2023]
Abstract
Many abiotic and biotic factors are known to shape species' distributions, but we lack understanding of how innate physiological traits, such as aerobic scope (AS), may influence the latitudinal range of species. Based on theoretical assumptions, a positive link between AS and distribution range has been proposed, but there has been no broad comparative study across species to test this hypothesis. We collected metabolic rate data from the literature and performed a phylogenetically informed analysis to investigate the influence of AS on the current geographical distributions of 111 teleost fish species. Contrary to expectations, we found a negative relationship between absolute latitude range and thermal peak AS in temperate fishes. We found no evidence for an association between thermal range of AS and the range of latitudes occupied for 32 species. Our main results therefore contradict the prevailing theory of a positive link between AS and distribution range in fish.
Collapse
Affiliation(s)
- Julie J H Nati
- Corresponding author: School of Biodiversity, One Health and Veterinary, Graham Kerr Building, Glasgow G12 8QQ, UK.
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK
| | - Paul C D Johnson
- School of Biodiversity, One Health and Veterinary, Graham Kerr Building, Glasgow G12 8QQ, UK
| | - Jan Lindström
- School of Biodiversity, One Health and Veterinary, Graham Kerr Building, Glasgow G12 8QQ, UK
| | - Shaun S Killen
- School of Biodiversity, One Health and Veterinary, Graham Kerr Building, Glasgow G12 8QQ, UK
| |
Collapse
|
9
|
Yamada Y, Zhang X, Henderson MET, Sagayama H, Pontzer H, Watanabe D, Yoshida T, Kimura M, Ainslie PN, Andersen LF, Anderson LJ, Arab L, Baddou I, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Bovet P, Buchowski MS, Butte NF, Camps SG, Close GL, Cooper JA, Cooper R, Das SK, Dugas LR, Eaton S, Ekelund U, Entringer S, Forrester T, Fudge BW, Goris AH, Gurven M, Halsey LG, Hambly C, El Hamdouchi A, Hoos MB, Hu S, Joonas N, Joosen AM, Katzmarzyk P, Kempen KP, Kraus WE, Kriengsinyos W, Kushner RF, Lambert EV, Leonard WR, Lessan N, Martin CK, Medin AC, Meijer EP, Morehen JC, Morton JP, Neuhouser ML, Nicklas TA, Ojiambo RM, Pietiläinen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Rabinovich RA, Racette SB, Raichlen DA, Ravussin E, Redman LM, Reilly JJ, Reynolds RM, Roberts SB, Schuit AJ, Sardinha LB, Silva AM, Sjödin AM, Stice E, Urlacher SS, Valenti G, Van Etten LM, Van Mil EA, Wells JCK, Wilson G, Wood BM, Yanovski JA, Murphy-Alford AJ, Loechl CU, Luke AH, Rood J, Westerterp KR, Wong WW, Miyachi M, Schoeller DA, Speakman JR. Variation in human water turnover associated with environmental and lifestyle factors. Science 2022; 378:909-915. [PMID: 36423296 PMCID: PMC9764345 DOI: 10.1126/science.abm8668] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Water is essential for survival, but one in three individuals worldwide (2.2 billion people) lacks access to safe drinking water. Water intake requirements largely reflect water turnover (WT), the water used by the body each day. We investigated the determinants of human WT in 5604 people from the ages of 8 days to 96 years from 23 countries using isotope-tracking (2H) methods. Age, body size, and composition were significantly associated with WT, as were physical activity, athletic status, pregnancy, socioeconomic status, and environmental characteristics (latitude, altitude, air temperature, and humidity). People who lived in countries with a low human development index (HDI) had higher WT than people in high-HDI countries. On the basis of this extensive dataset, we provide equations to predict human WT in relation to anthropometric, economic, and environmental factors.
Collapse
Affiliation(s)
- Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
| | - Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Mary E T Henderson
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan
| | - Herman Pontzer
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Daiki Watanabe
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
| | - Misaka Kimura
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
| | - Philip N Ainslie
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia Okanagan, Kelowna, British Columbia, Canada
| | - Lene F Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Liam J Anderson
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - Lenore Arab
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Issad Baddou
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN-Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Rabat, Morocco
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Ellen E Blaak
- Department of Human Biology, Maastricht University, Maastricht, Netherlands
| | - Stephane Blanc
- Nutritional Sciences, University of Wisconsin, Madison, WI, USA
- Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, UMR7178, France
| | | | | | - Pascal Bovet
- University Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland
| | - Maciej S Buchowski
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Nancy F Butte
- Department of Pediatrics, Baylor College of Medicine, US Department of Agriculture (USDA)/Agricultural Research Service (ARS) Children's Nutrition Research Center, Houston, TX, USA
| | - Stefan G Camps
- Maastricht University, Maastricht, Netherlands
- Clinical Nutrition Research Centre (CNRC), Singapore Institute of Food and Biotechnology Innovation (SIFBI), Agency of Science, Technology and Research (A*STAR), Singapore
| | - Graeme L Close
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Jamie A Cooper
- Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Richard Cooper
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
| | - Sai Krupa Das
- USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Lara R Dugas
- Public Health Sciences, Loyola University of Chicago, Maywood, IL, USA
- Division of Epidemiology and Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Simon Eaton
- Developmental Biology and Cancer Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany
- Department of Pediatrics, University of California Irvine, Irvine, CA, USA
| | - Terrence Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston, Jamaica
| | | | | | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Lewis G Halsey
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Asmaa El Hamdouchi
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN-Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Rabat, Morocco
| | | | - Sumei Hu
- Beijing Technology and Business University, Beijing, China
| | - Noorjehan Joonas
- Central Health Laboratory, Ministry of Health and Wellness, Mauritius
| | | | | | | | | | - Wantanee Kriengsinyos
- Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakon-Pathom, Thailand
| | - Robert F Kushner
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Estelle V Lambert
- Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS) Division of Exercise Science and Sports Medicine (ESSM), FIMS International Collaborating Centre of Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - William R Leonard
- Department of Anthropology, Northwestern University, Evanston, IL, USA
| | - Nader Lessan
- Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates
- Imperial College London, London, UK
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Anine C Medin
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway
| | | | - James C Morehen
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
- The FA Group, Burton-Upon-Trent, Staffordshire, UK
| | - James P Morton
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Theresa A Nicklas
- Department of Pediatrics, Baylor College of Medicine, US Department of Agriculture (USDA)/Agricultural Research Service (ARS) Children's Nutrition Research Center, Houston, TX, USA
| | - Robert M Ojiambo
- Kenya School of Medicine, Moi University, Eldoret, Kenya
- Rwanda Division of Basic Sciences, University of Global Health Equity, Rwanda
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, and Abdominal Center, Obesity Center, HealthyWeightHub, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Yannis P Pitsiladis
- School of Sport and Service Management, University of Brighton, Eastbourne, UK
| | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, Netherlands
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, USA
| | | | - Susan B Racette
- Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA, and College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - David A Raichlen
- Biological Sciences and Anthropology, University of Southern California, Los Angeles, CA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | | | | | - Rebecca M Reynolds
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Susan B Roberts
- USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Albertine J Schuit
- School of Social and Behavioral Sciences, University of Tilburg, Tilburg, Netherlands
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Portugal
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Portugal
| | - Anders M Sjödin
- Department of Nutrition, Exercise and Sports, Copenhagen University, Copenhagen, Denmark
| | - Eric Stice
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Samuel S Urlacher
- Department of Anthropology, Baylor University, Waco, TX, USA
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ontario, Canada
| | - Giulio Valenti
- Phillips Research, Eindoven, Netherlands
- Maastricht University, Maastricht, Netherlands
| | | | - Edgar A Van Mil
- Maastricht University, Brightlands Campus Greenport Venlo and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital, Hertogenbosch, Netherlands
| | - Jonathan C K Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - George Wilson
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Brian M Wood
- Department of Anthropology, University of California Los Angeles, Los Angeles, CA, USA
- Max Planck Institute for Evolutionary Anthropology, Department of Human Behavior, Ecology, and Culture, Leipzig, Germany
| | - Jack A Yanovski
- Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Alexia J Murphy-Alford
- Nutritional and Health-Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia U Loechl
- Nutritional and Health-Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Amy H Luke
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Chicago, IL, USA
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | | | - William W Wong
- Department of Pediatrics, Baylor College of Medicine, US Department of Agriculture (USDA)/Agricultural Research Service (ARS) Children's Nutrition Research Center, Houston, TX, USA
| | - Motohiko Miyachi
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Dale A Schoeller
- Biotechnology Center and Department of Nutritional Sciences, University of Wisconsin, Madison, WI, USA
| | - John R Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China
| | | |
Collapse
|
10
|
Abstract
AbstractThe received wisdom on how activity affects energy expenditure is that the more activity is undertaken, the more calories will have been burned by the end of the day. Yet traditional hunter-gatherers, who lead physically hard lives, burn no more calories each day than Western populations living in labor-saving environments. Indeed, there is now a wealth of data, both for humans and other animals, demonstrating that long-term lifestyle changes involving increases in exercise or other physical activities do not result in commensurate increases in daily energy expenditure (DEE). This is because humans and other animals exhibit a degree of energy compensation at the organismal level, ameliorating some of the increases in DEE that would occur from the increased activity by decreasing the energy expended on other biological processes. And energy compensation can be sizable, reaching many hundreds of calories in humans. But the processes that are downregulated in the long-term to achieve energy compensation are far from clear, particularly in humans-we do not know how energy compensation is achieved. My review here of the literature on relevant exercise intervention studies, for both humans and other species, indicates conflict regarding the role, if any, of basal metabolic rate (BMR) or low-level activity such as fidgeting play, particularly once changes in body composition are factored out. In situations where BMR and low-level activity are not major components of energy compensation, what then drives it? I discuss how changes in mitochondrial efficiency and changes in circadian fluctuations in BMR may contribute to our understanding of energy management. Currently unexplored, these mechanisms and others may provide important insights into the mystery of how energy compensation is achieved.
Collapse
|
11
|
Henderson ME, Brayson D, Halsey LG. The cardio-respiratory effects of passive heating and the human thermoneutral zone. Physiol Rep 2021; 9:e14973. [PMID: 34409765 PMCID: PMC8374383 DOI: 10.14814/phy2.14973] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 06/25/2021] [Accepted: 06/26/2021] [Indexed: 12/31/2022] Open
Abstract
The thermoneutral zone (TNZ) defines the range of ambient temperatures at which resting metabolic rate (MR) is at a minimum. While the TNZ lower limit has been characterized, it is still unclear whether there is an upper limit, that is, beyond which MR during rest increases, and if so, what physiological upregulations explain this. We take the first step to fill this knowledge gap by measuring MR and multiple physiological variables in participants exposed to ambient heat stress while resting. Thirteen participants were exposed for an hour to 28℃-50% relative humidity (RH) air, and both 40 and 50℃ each in 25% RH and humid (50% RH) conditions. Core and skin temperatures, blood pressure, sweat-, heart-, and breathing-rate, minute ventilation, and movement levels were recorded throughout each condition. MR increased 35% (p = .015) during exposure to 40℃-25% RH compared to baseline and a further 13% (p = .000) at in 50℃-50%RH. This was not explained by increased fidgeting (p = .26), suggesting physiological upregulation. However, while greater heat stress invoked increases in heart rate (64%, p = .000), minute ventilation (78%, p = .000), and sweat rate (74%. p = .000) when comparing 50℃-50% RH with baseline, the exact size of their relative energy cost is unclear and, therefore, so is their contribution to this increase in MR. Our study shows clear evidence that resting MR increases in humans at high temperature-there is a metabolic upper critical temperature, at least as low as 40℃. Further studies should pinpoint this value and fully explain this increased MR.
Collapse
Affiliation(s)
- Mary E.T. Henderson
- Centre for Research in Ecology, Evolution and BehaviourLife Sciences DepartmentWhitelands CollegeUniversity of RoehamptonLondonUnited Kingdom
| | - Daniel Brayson
- Dubowitz Neuromuscular CentreUCL, Great Ormond Street Institute of Child HealthHolborn, LondonUnited Kingdom
| | - Lewis G Halsey
- Centre for Research in Ecology, Evolution and BehaviourLife Sciences DepartmentWhitelands CollegeUniversity of RoehamptonLondonUnited Kingdom
| |
Collapse
|
12
|
Stewart-Williams S, Halsey LG. Not biology or culture alone: Response to El-Hout et al. (2021). Eur J Pers 2021. [DOI: 10.1177/08902070211022477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
We respond to El-Hout et al.’s commentary on our paper ‘Men, Women and STEM: Why the Differences and What Should Be Done?’. El-Hout et al. challenge several aspects of the position we present in the paper and outline their recent work on the concept of ‘masculine defaults’: a plausible contributor to the gender gaps found in some STEM fields. For the most part, El-Hout et al. present our views fairly and accurately. In a number of places, however, they misdescribe them, especially when it comes to policy options. In this response, we clarify and expand on our earlier arguments and explore various interesting issues raised by El-Hout et al.’s commentary.
Collapse
Affiliation(s)
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London, UK
| |
Collapse
|
13
|
Halsey LG, Bryce CM. Proxy problems: Why a calibration is essential for interpreting quantified changes in energy expenditure from biologging data. Funct Ecol 2021. [DOI: 10.1111/1365-2435.13749] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
14
|
Abstract
It is a well-known and widely lamented fact that men outnumber women in a number of fields in STEM (science, technology, engineering and maths). The most commonly discussed explanations for the gender gaps are discrimination and socialization, and the most common policy prescriptions target those ostensible causes. However, a great deal of evidence in the behavioural sciences suggests that discrimination and socialization are only part of the story. The purpose of this paper is to highlight other aspects of the story: aspects that are commonly overlooked or downplayed. More precisely, the paper has two main aims. The first is to examine the evidence that factors other than workplace discrimination contribute to the gender gaps in STEM. These include relatively large average sex differences in career and lifestyle preferences, and relatively small average differences in cognitive aptitudes – some favouring males, others favouring females – which are associated with progressively larger differences the further above the average one looks. The second aim is to examine the evidence suggesting that these sex differences are not purely a product of social factors but also have a substantial biological (i.e. inherited) component. A more complete picture of the causes of the unequal sex ratios in STEM may productively inform policy discussions.
Collapse
Affiliation(s)
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London, UK
| |
Collapse
|
15
|
Shuert CR, Halsey LG, Pomeroy PP, Twiss SD. Energetic limits: Defining the bounds and trade-offs of successful energy management in a capital breeder. J Anim Ecol 2020; 89:2461-2472. [PMID: 32895978 PMCID: PMC7693042 DOI: 10.1111/1365-2656.13312] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 06/24/2020] [Indexed: 12/26/2022]
Abstract
Judicious management of energy can be invaluable for animal survival and reproductive success. Capital breeding mammals typically transfer energy to their young at extremely high rates while undergoing prolonged fasting, making lactation a tremendously energy demanding period. Effective management of the competing demands of the mother's energy needs and those of her offspring is presumably fundamental to maximizing lifetime reproductive success. How does the mother maximize her chances of successfully rearing her pup, by ensuring that both her pup and herself have sufficient energy during this 'energetic fast'? While energy management models were first discussed in the 1990s, application of this analytical technique is still very much in its infancy. Recent work suggests that a broad range of species exhibits 'energy compensation'; during periods when they expend more energy on activity, their bodies partially compensate by reducing background (basal) metabolic rate as an adaptation to limit overall energy expenditure. However, the value of energy management models in understanding animal ecology is presently unclear. We investigate whether energy management models provide insights into the breeding strategy of phocid seals. Not only do we expect lactating seals to display energy compensation because of their breeding strategy of high energy transfer while fasting, but we anticipate that mothers exhibiting a lack of energy compensation are less likely to rear offspring successfully. On the Isle of May in Scotland, we collected heart rate data as a proxy for energy expenditure in 52 known individual grey seal (Halichoerus grypus) mothers, repeatedly across 3 years of breeding. We provide evidence that grey seal mothers typically exhibit energy compensation during lactation by downregulating their background metabolic rate to limit daily energy expenditure during periods when other energy costs are relatively high. However, individuals that fail to energy compensate during the lactation period are more likely to end lactation earlier than expected. Our study is the first to demonstrate the importance of energy compensation to an animal's reproductive expenditure. Moreover, our multi-seasonal data indicate that environmental stressors may reduce the capacity of some individuals to follow the energy compensation strategy.
Collapse
Affiliation(s)
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London, UK
| | - Patrick P Pomeroy
- Scottish Oceans Institute, University of St. Andrews, St. Andrews, UK
| | - Sean D Twiss
- Department of Biosciences, Durham University, Durham, UK
| |
Collapse
|
16
|
Halsey LG, Bryce CM. Are humans evolved specialists for running in the heat? Man
vs
. horse races provide empirical insights. Exp Physiol 2020; 106:258-268. [DOI: 10.1113/ep088502] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 06/23/2020] [Indexed: 11/08/2022]
Affiliation(s)
- Lewis G. Halsey
- Department of Life Sciences University of Roehampton London SW15 4JD UK
| | - Caleb M. Bryce
- Botswana Predator Conservation Trust Private Bag 13 Maun Botswana
| |
Collapse
|
17
|
Halsey LG, Iosilevskii G. The energetics of 'airtime': estimating swim power from breaching behaviour in fishes and cetaceans. ACTA ACUST UNITED AC 2020; 223:jeb.216036. [PMID: 31767731 DOI: 10.1242/jeb.216036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 11/20/2019] [Indexed: 11/20/2022]
Abstract
Displays of maximum swimming speeds are rare in the laboratory and the wild, limiting our understanding of the top-end athletic capacities of aquatic vertebrates. However, jumps out of the water - exhibited by a diversity of fish and cetaceans - might sometimes represent a behaviour comprising maximum burst effort. We collected data on such breaching behaviour for 14 fish and cetacean species primarily from online videos, to calculate breaching speed. From newly derived formulae based on the drag coefficient and hydrodynamic efficiency, we also calculated the associated power. The fastest breaching speeds were exhibited by species 2 m in length, peaking at nearly 11 m s-1; as species size decreases below this, the fastest breaches become slower, while species larger than 2 m do not show a systematic pattern. The power associated with the fastest breaches was consistently ∼50 W kg-1 (equivalent to 200 W kg-1 muscle) in species from 20 cm to 2 m in length, suggesting that this value may represent a universal (conservative) upper boundary. And it is similar to the maximum recorded power output per muscle mass recorded in any species of similar size, suggesting that some breaches could indeed be representative of maximum capability.
Collapse
Affiliation(s)
- Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London, SW15 4JD, UK
| | - Gil Iosilevskii
- Faculty of Aerospace Engineering, Technion, Haifa 32000, Israel
| |
Collapse
|
18
|
Halsey LG. The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum? Biol Lett 2019; 15:20190174. [PMID: 31113309 PMCID: PMC6548726 DOI: 10.1098/rsbl.2019.0174] [Citation(s) in RCA: 142] [Impact Index Per Article: 28.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 05/01/2019] [Indexed: 01/01/2023] Open
Abstract
The p-value has long been the figurehead of statistical analysis in biology, but its position is under threat. p is now widely recognized as providing quite limited information about our data, and as being easily misinterpreted. Many biologists are aware of p's frailties, but less clear about how they might change the way they analyse their data in response. This article highlights and summarizes four broad statistical approaches that augment or replace the p-value, and that are relatively straightforward to apply. First, you can augment your p-value with information about how confident you are in it, how likely it is that you will get a similar p-value in a replicate study, or the probability that a statistically significant finding is in fact a false positive. Second, you can enhance the information provided by frequentist statistics with a focus on effect sizes and a quantified confidence that those effect sizes are accurate. Third, you can augment or substitute p-values with the Bayes factor to inform on the relative levels of evidence for the null and alternative hypotheses; this approach is particularly appropriate for studies where you wish to keep collecting data until clear evidence for or against your hypothesis has accrued. Finally, specifically where you are using multiple variables to predict an outcome through model building, Akaike information criteria can take the place of the p-value, providing quantified information on what model is best. Hopefully, this quick-and-easy guide to some simple yet powerful statistical options will support biologists in adopting new approaches where they feel that the p-value alone is not doing their data justice.
Collapse
|
19
|
Abstract
Analysis of some experimental biology data involves linear regression and interpretation of the resulting slope value. Usually, the x-axis measurements include noise. Noise in the x-variable can create regression dilution, and many biologists are not aware of the implications: regression dilution results in an underestimation of the true slope value. This is particularly problematic when the slope value is diagnostic. For example, energy management strategies of animals can be determined from the regression slope estimate of mean energy expenditure against resting energy expenditure. Typically, energy expenditure is represented by a proxy such as heart rate, which adds substantive measurement error. With simulations and analysis of empirical data, we explore the possible effect of regression dilution on interpretations of energy management strategies. We conclude that unless the coefficient of determination r 2 is very high, there is a good possibility that regression dilution will affect qualitative interpretation. We recommend some ways to contend with regression dilution, including the application of alternative available regression approaches under certain circumstances.
Collapse
Affiliation(s)
- Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London SW15 4JD, UK
| | - Andrea Perna
- Department of Life Sciences, University of Roehampton, London SW15 4JD, UK
| |
Collapse
|
20
|
Halsey LG, Green JA, Twiss SD, Arnold W, Burthe SJ, Butler PJ, Cooke SJ, Grémillet D, Ruf T, Hicks O, Minta KJ, Prystay TS, Wascher CAF, Careau V. Flexibility, variability and constraint in energy management patterns across vertebrate taxa revealed by long‐term heart rate measurements. Funct Ecol 2019. [DOI: 10.1111/1365-2435.13264] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Lewis G. Halsey
- Department of Life SciencesUniversity of Roehampton London UK
| | - Jonathan A. Green
- School of Environmental SciencesUniversity of Liverpool Liverpool UK
| | - Sean D. Twiss
- Department of BiosciencesDurham University Durham UK
| | - Walter Arnold
- Department of Integrative Biology and Evolution, Research Institute of Wildlife EcologyUniversity of Veterinary Medicine Vienna Austria
| | - Sarah J. Burthe
- Centre for Ecology & HydrologyBush Estate Penicuik Midlothian UK
| | | | | | - David Grémillet
- CEFE UMR 5175CNRS – Université de Montpellier – Université Paul-Valéry Montpellier – EPHE Montpellier France
| | - Thomas Ruf
- Department of Integrative Biology and Evolution, Research Institute of Wildlife EcologyUniversity of Veterinary Medicine Vienna Austria
| | - Olivia Hicks
- School of Environmental SciencesUniversity of Liverpool Liverpool UK
| | | | | | | | - Vincent Careau
- Department of BiologyUniversity of Ottawa Ottawa ON Canada
| |
Collapse
|
21
|
|
22
|
Halsey LG. Keeping Slim When Food Is Abundant: What Energy Mechanisms Could Be at Play? Trends Ecol Evol 2018; 33:745-753. [PMID: 30241777 DOI: 10.1016/j.tree.2018.08.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 07/31/2018] [Accepted: 08/15/2018] [Indexed: 01/13/2023]
Abstract
The obesity epidemic in humans is juxtaposed by observations of passerine birds exhibiting fine-scale body mass regulation. The ecology literature is replete with research into why these animals regulate body weight, citing tradeoffs between competing pressures such as emaciation and predation. Yet studies on the underlying mechanisms of mass regulation in these animals are scarce. Maintaining or decreasing weight could obviously be achieved by limiting food intake. However, there are numerous reasons why an animal may not control ingestion, at least precisely. This Opinion article investigates the plausibility of possible behavioural and physiological mechanisms to adaptively maintain or decrease body mass in birds and other animals. Candidate behavioural mechanisms include exercising and fidgeting, while physiological mechanisms could include reducing digestive efficiency or mitochondrial efficiency.
Collapse
|
23
|
Johnston EM, Halsey LG, Payne NL, Kock AA, Iosilevskii G, Whelan B, Houghton JDR. Latent power of basking sharks revealed by exceptional breaching events. Biol Lett 2018; 14:20180537. [PMID: 30209042 PMCID: PMC6170759 DOI: 10.1098/rsbl.2018.0537] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 08/17/2018] [Indexed: 11/12/2022] Open
Abstract
The fast swimming and associated breaching behaviour of endothermic mackerel sharks is well suited to the capture of agile prey. In contrast, the observed but rarely documented breaching capability of basking sharks is incongruous to their famously languid lifestyle as filter-feeding planktivores. Indeed, by analysing video footage and an animal-instrumented data logger, we found that basking sharks exhibit the same vertical velocity (approx. 5 m s-1) during breach events as the famously powerful predatory great white shark. We estimate that an 8-m, 2700-kg basking shark, recorded breaching at 5 m s-1 and accelerating at 0.4 m s-2, expended mechanical energy at a rate of 5.5 W kg-1; a mass-specific energetic cost comparable to that of the great white shark. The energy cost of such a breach is equivalent to around 1/17th of the daily standard metabolic cost for a basking shark, while the ratio is about half this for a great white shark. While breaches by basking sharks must serve a different function to white shark breaches, their similar breaching speeds questions our perception of the physiology of large filter-feeding fish.
Collapse
Affiliation(s)
- Emmett M Johnston
- Queen's University Belfast, Belfast BT7 1NN, UK
- Irish Basking Shark Study Group, Co. Donegal, F93 P6K5, Ireland
| | | | | | - Alison A Kock
- University of Cape Town, Rondebosch 7701, South Africa
- South African Institute for Aquatic Biodiversity (SAIAB), Grahamstown 6140, South Africa
| | | | | | - Jonathan D R Houghton
- Queen's University Belfast, Belfast BT7 1NN, UK
- Irish Basking Shark Study Group, Co. Donegal, F93 P6K5, Ireland
| |
Collapse
|
24
|
Payne NL, Meyer CG, Smith JA, Houghton JDR, Barnett A, Holmes BJ, Nakamura I, Papastamatiou YP, Royer MA, Coffey DM, Anderson JM, Hutchinson MR, Sato K, Halsey LG. Combining abundance and performance data reveals how temperature regulates coastal occurrences and activity of a roaming apex predator. Glob Chang Biol 2018. [PMID: 29516588 DOI: 10.1111/gcb.14088] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The redistribution of species has emerged as one of the most pervasive impacts of anthropogenic climate warming, and presents many societal challenges. Understanding how temperature regulates species distributions is particularly important for mobile marine fauna such as sharks given their seemingly rapid responses to warming, and the socio-political implications of human encounters with some dangerous species. The predictability of species distributions can potentially be improved by accounting for temperature's influence on performance, an elusive relationship for most large animals. We combined multi-decadal catch data and bio-logging to show that coastal abundance and swimming performance of tiger sharks Galeocerdo cuvier are both highest at ~22°C, suggesting thermal constraints on performance may regulate this species' distribution. Tiger sharks are responsible for a large proportion of shark bites on humans, and a focus of controversial control measures in several countries. The combination of distribution and performance data moves towards a mechanistic understanding of tiger shark's thermal niche, and delivers a simple yet powerful indicator for predicting the location and timing of their occurrences throughout coastlines. For example, tiger sharks are mostly caught at Australia's popular New South Wales beaches (i.e. near Sydney) in the warmest months, but our data suggest similar abundances will occur in winter and summer if annual sea surface temperatures increase by a further 1-2°C.
Collapse
Affiliation(s)
- Nicholas L Payne
- University of Roehampton, London, UK
- Queen's University Belfast, Belfast, UK
| | | | - James A Smith
- University of New South Wales, Sydney, NSW, Australia
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
25
|
Abstract
The 3Rs - Replacement, Reduction and Refinement - are embedded into the legislation and guidelines governing the ethics of animal use in experiments. Here, we consider the advantages of adopting key aspects of the 3Rs into experimental biology, represented mainly by the fields of animal behaviour, neurobiology, physiology, toxicology and biomechanics. Replacing protected animals with less sentient forms or species, cells, tissues or computer modelling approaches has been broadly successful. However, many studies investigate specific models that exhibit a particular adaptation, or a species that is a target for conservation, such that their replacement is inappropriate. Regardless of the species used, refining procedures to ensure the health and well-being of animals prior to and during experiments is crucial for the integrity of the results and legitimacy of the science. Although the concepts of health and welfare are developed for model organisms, relatively little is known regarding non-traditional species that may be more ecologically relevant. Studies should reduce the number of experimental animals by employing the minimum suitable sample size. This is often calculated using power analyses, which is associated with making statistical inferences based on the P-value, yet P-values often leave scientists on shaky ground. We endorse focusing on effect sizes accompanied by confidence intervals as a more appropriate means of interpreting data; in turn, sample size could be calculated based on effect size precision. Ultimately, the appropriate employment of the 3Rs principles in experimental biology empowers scientists in justifying their research, and results in higher-quality science.
Collapse
Affiliation(s)
- Lynne U Sneddon
- Institute of Integrative Biology, Department of Evolution, Ecology and Behaviour, University of Liverpool, The BioScience Building, Liverpool L69 7ZB, UK
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London SW15 4JD, UK
| | - Nic R Bury
- University of Suffolk, Faculty of Health Sciences and Technology, James Hehir Building, Neptune Quay, Ipswich IP4 1QJ, Suffolk, UK
| |
Collapse
|
26
|
Bidder OR, Goulding C, Toledo A, van Walsum TA, Siebert U, Halsey LG. Does the Treadmill Support Valid Energetics Estimates of Field Locomotion? Integr Comp Biol 2018; 57:301-319. [PMID: 28859410 DOI: 10.1093/icb/icx038] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
SYNOPSIS Quantifying animal energy expenditure during locomotion in the field is generally based either on treadmill measurements or on estimates derived from a measured proxy. Two common proxies are heart rate (ƒH) and dynamic body acceleration (accelerometry). Both ƒH and accelerometry have been calibrated extensively under laboratory conditions, which typically involve prompting the animal to locomote on a treadmill at different speeds while simultaneously recording its rate of oxygen uptake (V̇o2) and the proxy. Field estimates of V̇o2 during locomotion obtained directly from treadmill running or from treadmill-calibrated proxies make assumptions about similarities between running in the field and in the laboratory. The present study investigated these assumptions, focusing on humans as a tractable species. First we investigated experimentally if and how the rate of energy expenditure during treadmill locomotion differs to that during field locomotion at the same speeds, with participants walking and running on a treadmill, on tarmac, and on grass, while wearing a mobile respirometry system. V̇o2 was substantially higher during locomotion in both of the field conditions compared with on a level treadmill: 9.1% on tarmac and 17.7% on grass. Second, we included these data in a meta-analysis of previous, related studies. The results were influenced by the studies excluded due to particulars of the experiment design, suggesting that participant age, the surface type, and the degree of turning during field locomotion may influence by how much treadmill and field locomotion V̇o2 differ. Third, based on our experiments described earlier, we investigated the accuracy of treadmill-calibrated accelerometry and ƒH for estimating V̇o2 in the field. The mean algebraic estimate errors varied between 10% and 35%, with the ƒH associated errors being larger than those derived from accelerometry. The mean algebraic errors were all underestimates of field V̇o2, by around 10% for fH and varying between 0% and 15% for accelerometry. Researchers should question and consider how accurately a treadmill-derived proxy calibration of V̇o2 will estimate V̇o2 during terrestrial locomotion in free-living animals.
Collapse
Affiliation(s)
- Owen R Bidder
- Institute for Terrestrial and Aquatic Wildlife Research (ITAW), University of Veterinary Medicine Hannover, Werftstr. 6, Büsum 25761, Germany.,Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720, USA
| | - Colette Goulding
- Department of Life Sciences, University of Roehampton, London SW15?4JD, UK
| | - Alejandra Toledo
- Department of Life Sciences, University of Roehampton, London SW15?4JD, UK
| | - Tessa A van Walsum
- Department of Life Sciences, University of Roehampton, London SW15?4JD, UK
| | - Ursula Siebert
- Institute for Terrestrial and Aquatic Wildlife Research (ITAW), University of Veterinary Medicine Hannover, Werftstr. 6, Büsum 25761, Germany
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London SW15?4JD, UK
| |
Collapse
|
27
|
Halsey LG, Wright S, Racz A, Metcalfe JD, Killen SS. How does school size affect tail beat frequency in turbulent water? Comp Biochem Physiol A Mol Integr Physiol 2018; 218:63-69. [PMID: 29408691 DOI: 10.1016/j.cbpa.2018.01.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 12/05/2017] [Accepted: 01/24/2018] [Indexed: 10/18/2022]
Abstract
The energy savings experienced by fish swimming in a school have so far been investigated in an near-idealised experimental context including a relatively laminar water flow. The effects of explicitly turbulent flows and different group sizes are yet to be considered. Our repeated-measures study is a first step in addressing both of these issues: whether schooling is more energetically economical for fish when swimming in a quantified non-laminar flow and how this might be moderated by group size. We measured tail beat frequency (tbf) in sea bass swimming in a group of 3 or 6, or singly. Video data enabled us to approximately track the movements of the fish during the experiments and in turn ascertain the water flow rates and turbulence levels experienced for each target individual. Although the fish exhibited reductions in tbf during group swimming, which may indicate some energy savings, these savings appear to be attenuated, presumably due to the water turbulence and the movement of the fish relative to each other. Surprisingly, tbf was unrelated to flow rate when the fish were swimming singly or in a group of three, and decreased with increasing flow rates when swimming in a group of six. However, the fish increased tbf in greater turbulence at all group sizes. Our study demonstrates that under the challenging and complex conditions of turbulent flow and short-term changes in school structure, group size can moderate the influences of water flow on a fish's swimming kinematics, and in turn perhaps their energy costs. SUMMARY STATEMENT The energy savings that sea bass experience from schooling are affected by flow speed or turbulence, moderated by group size.
Collapse
Affiliation(s)
- Lewis G Halsey
- Department of Life Sciences, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK.
| | - Serena Wright
- Centre for Environment, Fisheries and Aquaculture Science, Pakefield Road, Lowestoft NR33 0HT, UK
| | - Anita Racz
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, Graham Kerr Building, University of Glasgow, Glasgow G12 8QQ, UK
| | - Julian D Metcalfe
- Centre for Environment, Fisheries and Aquaculture Science, Pakefield Road, Lowestoft NR33 0HT, UK
| | - Shaun S Killen
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, Graham Kerr Building, University of Glasgow, Glasgow G12 8QQ, UK
| |
Collapse
|
28
|
Halsey LG, Coward SRL, Thorpe SKS. Bridging the gap: parkour athletes provide new insights into locomotion energetics of arboreal apes. Biol Lett 2017; 12:rsbl.2016.0608. [PMID: 27881766 DOI: 10.1098/rsbl.2016.0608] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 10/31/2016] [Indexed: 11/12/2022] Open
Abstract
The tree canopy is an energetically challenging environment to traverse. Along with compliant vegetation, gaps in the canopy can prove energetically costly if they force a route-extending detour. Arboreal apes exhibit diverse locomotion strategies, including for gap crossing. Which one they employ in any given scenario may be influenced by the energy costs to do so, which are affected by the details of the immediate environment in combination with their body size. Measuring energetics of arboreal apes is not tractable; thus our knowledge in this area is limited. We devised a novel, custom-made experimental set-up to record the energy expenditure of parkour athletes tree-swaying, jumping and vertical climbing. The latter strategy was vastly more expensive, indicating that when energy economy is the focus arboreal apes will prioritize routes that limit height changes. Whether tree-swaying or jumping was most economical for the athletes depended upon interactions between tree stiffness, the distance to cross, number of tree-sways required and their own mass. Updated analysis of previous interspecific correlations suggests that whether the relative costs to vertical climb are size-invariant across primate species is complicated by details of the climbing context.
Collapse
Affiliation(s)
| | - Samuel R L Coward
- University of Birmingham, Birmingham B15 2TT, UK.,Dudley College, Dudley DY1 4AS, UK
| | | |
Collapse
|
29
|
Halsey LG. Relationships grow with time: a note of caution about energy expenditure‐proxy correlations, focussing on accelerometry as an example. Funct Ecol 2017. [DOI: 10.1111/1365-2435.12822] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Lewis G. Halsey
- University of Roehampton Holybourne Avenue LondonSW15 4JD UK
| |
Collapse
|
30
|
Halsey LG, Coward SRL, Crompton RH, Thorpe SKS. Practice makes perfect: Performance optimisation in 'arboreal' parkour athletes illuminates the evolutionary ecology of great ape anatomy. J Hum Evol 2017; 103:45-52. [PMID: 28166907 DOI: 10.1016/j.jhevol.2016.11.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 11/18/2016] [Accepted: 11/24/2016] [Indexed: 10/20/2022]
Abstract
An animal's size is central to its ecology, yet remarkably little is known about the selective pressures that drive this trait. A particularly compelling example is how ancestral apes evolved large body mass in such a physically and energetically challenging environment as the forest canopy, where weight-bearing branches and lianas are flexible, irregular and discontinuous, and the majority of preferred foods are situated on the most flexible branches at the periphery of tree crowns. To date the issue has been intractable due to a lack of relevant fossil material, the limited capacity of the fossil record to reconstruct an animal's behavioural ecology and the inability to measure energy consumption in freely moving apes. We studied the oxygen consumption of parkour athletes while they traversed an arboreal-like course as an elite model ape, to test the ecomorphological and behavioural mechanisms by which a large-bodied ape could optimize its energetic performance during tree-based locomotion. Our results show that familiarity with the arboreal-like course allowed the athletes to substantially reduce their energy expenditure. Furthermore, athletes with larger arm spans and shorter legs were particularly adept at finding energetic savings. Our results flesh out the scanty fossil record to offer evidence that long, strong arms, broad chests and a strong axial system, combined with the frequent use of uniform branch-to-branch arboreal pathways, were critical to off-setting the mechanical and energetic demands of large mass in ancestral apes.
Collapse
Affiliation(s)
- Lewis G Halsey
- Centre for Research in Ecology, Department of Life Sciences, University of Roehampton, Holybourne Avenue, London, SW15 4JD, UK.
| | - Samuel R L Coward
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Robin H Crompton
- Department of Musculoskeletal Biology, Institute of Aging and Chronic Disease, University of Liverpool, Ashton Street, Liverpool, L69 3GE, UK.
| | - Susannah K S Thorpe
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| |
Collapse
|
31
|
Nati JJH, Lindström J, Halsey LG, Killen SS. Is there a trade-off between peak performance and performance breadth across temperatures for aerobic scope in teleost fishes? Biol Lett 2016; 12:rsbl.2016.0191. [PMID: 27677812 PMCID: PMC5046912 DOI: 10.1098/rsbl.2016.0191] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Accepted: 09/06/2016] [Indexed: 01/14/2023] Open
Abstract
The physiology and behaviour of ectotherms are strongly influenced by environmental temperature. A general hypothesis is that for performance traits, such as those related to growth, metabolism or locomotion, species face a trade-off between being a thermal specialist or a thermal generalist, implying a negative correlation between peak performance and performance breadth across a range of temperatures. Focusing on teleost fishes, we performed a phylogenetically informed comparative analysis of the relationship between performance peak and breadth for aerobic scope (AS), which represents whole-animal capacity available to carry out simultaneous oxygen-demanding processes (e.g. growth, locomotion, reproduction) above maintenance. Literature data for 28 species indicate that peak aerobic capacity is not linked to thermal performance breadth and that other physiological factors affecting thermal tolerance may prevent such a trade-off from emerging. The results therefore suggest that functional links between peak and thermal breadth for AS may not constrain evolutionary responses to environmental changes such as climate warming.
Collapse
Affiliation(s)
- Julie J H Nati
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Graham Kerr Building, Glasgow G12 8QQ, UK
| | - Jan Lindström
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Graham Kerr Building, Glasgow G12 8QQ, UK
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK
| | - Shaun S Killen
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Graham Kerr Building, Glasgow G12 8QQ, UK
| |
Collapse
|
32
|
White CR, Alton LA, Crispin TS, Halsey LG. Phylogenetic comparisons of pedestrian locomotion costs: confirmations and new insights. Ecol Evol 2016; 6:6712-6720. [PMID: 27777742 PMCID: PMC5058540 DOI: 10.1002/ece3.2267] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Revised: 05/24/2016] [Accepted: 05/25/2016] [Indexed: 11/11/2022] Open
Abstract
The energetic costs for animals to locomote on land influence many aspects of their ecology. Size accounts for much of the among-species variation in terrestrial transport costs, but species of similar body size can still exhibit severalfold differences in energy expenditure. We compiled measurements of the (mass-specific) minimum cost of pedestrian transport (COTmin, mL/kg/m) for 201 species - by far the largest sample to date - and used phylogenetically informed comparative analyses to investigate possible eco-evolutionary differences in COTmin between various groupings of those species. We investigated number of legs, ectothermy and endothermy, waddling, and nocturnality specifically in lizards. Thus, our study primarily revisited previous theories about variations in COTmin between species, testing them with much more robust analyses. Having accounted for mass, while residual COTmin did not differ between bipedal and other species, specifically waddling bipeds were found to have relatively high COTmin. Furthermore, nocturnal lizards have relatively low COTmin although temperature does not appear to affect COTmin in ectotherms. Previous studies examining across-species variation in COTmin from a biomechanical perspective show that the differences between waddling birds and nonwaddling species, and between nocturnal lizards and other ecotherms, are likely to be attributable to differences in ground reaction forces, posture, and effective limb length.
Collapse
Affiliation(s)
- Craig R White
- Centre for Geometric Biology School of Biological Sciences Monash University Melbourne Victoria 3800 Australia; School of Biological Sciences The University of Queensland Brisbane Queensland 4072 Australia
| | - Lesley A Alton
- Centre for Geometric Biology School of Biological Sciences Monash University Melbourne Victoria 3800 Australia; School of Biological Sciences The University of Queensland Brisbane Queensland 4072 Australia
| | - Taryn S Crispin
- School of Biological Sciences The University of Queensland Brisbane Queensland 4072 Australia
| | - Lewis G Halsey
- Department of Life Sciences Centre for Research in Ecology University of Roehampton Holybourne Avenue London SW15 4JD UK
| |
Collapse
|
33
|
Halsey LG, Curran-Everett D, Drummond GB. Response to "Confidence intervals are no salvation from the alleged fickleness of the P value". Nat Methods 2016; 13:606. [DOI: 10.1038/nmeth.3933] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
34
|
Halsey LG. Terrestrial movement energetics: current knowledge and its application to the optimising animal. J Exp Biol 2016; 219:1424-31. [DOI: 10.1242/jeb.133256] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Accepted: 03/14/2016] [Indexed: 01/25/2023]
Abstract
ABSTRACT
The energetic cost of locomotion can be a substantial proportion of an animal's daily energy budget and thus key to its ecology. Studies on myriad species have added to our knowledge about the general cost of animal movement, including the effects of variations in the environment such as terrain angle. However, further such studies might provide diminishing returns on the development of a deeper understanding of how animals trade-off the cost of movement with other energy costs, and other ecological currencies such as time. Here, I propose the ‘individual energy landscape’ as an approach to conceptualising the choices facing the optimising animal. In this Commentary, first I outline previous broad findings about animal walking and running locomotion, focusing in particular on the use of net cost of transport as a metric of comparison between species, and then considering the effects of environmental perturbations and other extrinsic factors on movement costs. I then introduce and explore the idea that these factors combine with the behaviour of the animal in seeking short-term optimality to create that animal's individual energy landscape – the result of the geographical landscape and environmental factors combined with the animal's selected trade-offs. Considering an animal's locomotion energy expenditure within this context enables hard-won empirical data on transport costs to be applied to questions about how an animal can and does move through its environment to maximise its fitness, and the relative importance, or otherwise, of locomotion energy economy.
Collapse
Affiliation(s)
- Lewis G. Halsey
- Department of Life Sciences, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK
| |
Collapse
|
35
|
Portugal SJ, Green JA, Halsey LG, Arnold W, Careau V, Dann P, Frappell PB, Grémillet D, Handrich Y, Martin GR, Ruf T, Guillemette MM, Butler PJ. Associations between Resting, Activity, and Daily Metabolic Rate in Free-Living Endotherms: No Universal Rule in Birds and Mammals. Physiol Biochem Zool 2016; 89:251-61. [PMID: 27153134 DOI: 10.1086/686322] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Energy management models provide theories and predictions for how animals manage their energy budgets within their energetic constraints, in terms of their resting metabolic rate (RMR) and daily energy expenditure (DEE). Thus, uncovering what associations exist between DEE and RMR is key to testing these models. Accordingly, there is considerable interest in the relationship between DEE and RMR at both inter- and intraspecific levels. Interpretation of the evidence for particular energy management models is enhanced by also considering the energy spent specifically on costly activities (activity energy expenditure [AEE] = DEE - RMR). However, to date there have been few intraspecific studies investigating such patterns. Our aim was to determine whether there is a generality of intraspecific relationships among RMR, DEE, and AEE using long-term data sets for bird and mammal species. For mammals, we use minimum heart rate (fH), mean fH, and activity fH as qualitative proxies for RMR, DEE, and AEE, respectively. For the birds, we take advantage of calibration equations to convert fH into rate of oxygen consumption in order to provide quantitative proxies for RMR, DEE, and AEE. For all 11 species, the DEE proxy was significantly positively correlated with the RMR proxy. There was also evidence of a significant positive correlation between AEE and RMR in all four mammal species but only in some of the bird species. Our results indicate there is no universal rule for birds and mammals governing the relationships among RMR, AEE, and DEE. Furthermore, they suggest that birds tend to have a different strategy for managing their energy budgets from those of mammals and that there are also differences in strategy between bird species. Future work in laboratory settings or highly controlled field settings can tease out the environmental and physiological processes contributing to variation in energy management strategies exhibited by different species.
Collapse
|
36
|
Killen SS, Glazier DS, Rezende EL, Clark TD, Atkinson D, Willener AST, Halsey LG. Ecological Influences and Morphological Correlates of Resting and Maximal Metabolic Rates across Teleost Fish Species. Am Nat 2016; 187:592-606. [PMID: 27104992 DOI: 10.1086/685893] [Citation(s) in RCA: 128] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Rates of aerobic metabolism vary considerably across evolutionary lineages, but little is known about the proximate and ultimate factors that generate and maintain this variability. Using data for 131 teleost fish species, we performed a large-scale phylogenetic comparative analysis of how interspecific variation in resting metabolic rates (RMRs) and maximum metabolic rates (MMRs) is related to several ecological and morphological variables. Mass- and temperature-adjusted RMR and MMR are highly correlated along a continuum spanning a 30- to 40-fold range. Phylogenetic generalized least squares models suggest that RMR and MMR are higher in pelagic species and that species with higher trophic levels exhibit elevated MMR. This variation is mirrored at various levels of structural organization: gill surface area, muscle protein content, and caudal fin aspect ratio (a proxy for activity) are positively related with aerobic capacity. Muscle protein content and caudal fin aspect ratio are also positively correlated with RMR. Hypoxia-tolerant lineages fall at the lower end of the metabolic continuum. Different ecological lifestyles are associated with contrasting levels of aerobic capacity, possibly reflecting the interplay between selection for increased locomotor performance on one hand and tolerance to low resource availability, particularly oxygen, on the other. These results support the aerobic capacity model of the evolution of endothermy, suggesting elevated body temperatures evolved as correlated responses to selection for high activity levels.
Collapse
|
37
|
Robson AA, Halsey LG, Chauvaud L. Feet, heat and scallops: what is the cost of anthropogenic disturbance in bivalve aquaculture? R Soc Open Sci 2016; 3:150679. [PMID: 27069659 PMCID: PMC4821270 DOI: 10.1098/rsos.150679] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 02/10/2016] [Indexed: 06/05/2023]
Abstract
The effects of unnatural disturbances on the behaviour and energetics of animals are an important issue for conservation and commercial animal production. Biologging enables estimation of the energy costs of these disturbances, but not specifically the effect these costs have on growth; a key outcome measure for animal farming enterprises. We looked at how natural and anthropogenically induced activity and energy expenditure of king scallops Pecten maximus varies with temperature. These data were then used to model growth time of king scallops reared in an aquaculture facility under different temperatures and anthropogenic disturbance levels. The scallops exhibited a typical total metabolic rate (MR)-temperature curve, with a peak reached at a middling temperature. The percentage of their total MR associated with spinning and swimming, behavioural responses to disturbance, was considerable. Interestingly, as temperature increased, the activity MR associated with a given level of activity decreased; a hitherto unreported relationship in any species. The model results suggest there is a trade-off in the ambient temperature that should be set by hatcheries between the optimal for scallop growth if completely undisturbed versus mitigating against the energy costs elicited by anthropogenic disturbance. Furthermore, the model indicates that this trade-off is affected by scallop size. Aquaculture facilities typically have controls to limit the impact of human activities, yet the present data indicate that hatcheries may be advised to consider whether more controls could further decrease extraneous scallop behaviours, resulting in enhanced scallop yields and improved financial margins.
Collapse
Affiliation(s)
- Anthony A. Robson
- LabexMER, UMS 3113 CNRS, Institut Universitaire Européen de la Mer, Université de Brest, Rue Dumont D’Urville, 29280 Plouzané, France
- Atmosphere and Ocean Research Institute, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8564, Japan
| | - Lewis G. Halsey
- Centre for Research in Ecology, Department of Life Sciences, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK
| | - Laurent Chauvaud
- Laboratoire des Sciences de L’Environnement Marin (UMR CNRS 6539), Institut Universitaire Européen de la Mer, Technopôle Brest Iroise, 29280 Plouzané, France
| |
Collapse
|
38
|
Abstract
Returning to the shore after a feeding sojourn at sea, king penguins often undertake a relatively long terrestrial journey to the breeding colony carrying a heavy, mostly frontal, accumulation of fat along with food in the stomach for chick-provisioning. There they must survive a fasting period of up to a month in duration, during which their complete reliance on endogenous energy stores results in a dramatic loss in body mass. Our aim was to determine if the king penguin’s walking gait changes with variations in body mass. We investigated this by walking king penguins on a treadmill while instrumented with an acceleration data logger. The stride frequency, dynamic body acceleration (DBA) and posture of fat (pre-fasting; 13.2 kg) and slim (post fasting; 11 kg) king penguins were assessed while they walked at the same speed (1.4km/h) on a treadmill. Paired statistical tests indicated no evidence for a difference in dynamic body acceleration or stride frequency between the two body masses however there was substantially less variability in both leaning angle and the leaning amplitude of the body when the birds were slimmer. Furthermore, there was some evidence that the slimmer birds exhibited a decrease in waddling amplitude. We suggest the increase in variability of both leaning angle and amplitude, as well as a possibly greater variability in the waddling amplitude, is likely to result from the frontal fat accumulation when the birds are heavier, which may move the centre of mass anteriorly, resulting in a less stable upright posture. This study is the first to use accelerometry to better understand the gait of a species within a specific ecological context: the considerable body mass change exhibited by king penguins.
Collapse
Affiliation(s)
- Astrid S. T. Willener
- Department of Life Sciences, University of Roehampton, London, United Kingdom
- Université de Strasbourg, Institut Pluridisciplinaire Hubert CURIEN, Strasbourg, France
- Centre National de la Recherche Scientifique, Unité Mixte de Recherche 7178, Strasbourg, France
- * E-mail:
| | - Yves Handrich
- Université de Strasbourg, Institut Pluridisciplinaire Hubert CURIEN, Strasbourg, France
- Centre National de la Recherche Scientifique, Unité Mixte de Recherche 7178, Strasbourg, France
| | - Lewis G. Halsey
- Department of Life Sciences, University of Roehampton, London, United Kingdom
| | - Siobhán Strike
- Department of Life Sciences, University of Roehampton, London, United Kingdom
| |
Collapse
|
39
|
Affiliation(s)
- Lewis G. Halsey
- University of Roehampton Holybourne Avenue London SW15 4JD UK
| |
Collapse
|
40
|
Halsey LG, White CR. A different angle: comparative analyses of whole-animal transport costs running uphill. J Exp Biol 2016; 220:161-166. [DOI: 10.1242/jeb.142927] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 10/18/2016] [Indexed: 02/06/2023]
Abstract
Comparative work on animals' costs of terrestrial locomotion has focussed on the underpinning physiology and biomechanics. Often, much of an animal's energy budget is spent on moving around thus there is also value in interpreting such data from an ecological perspective. When animals move through their environment they encounter topographical variation, and this is a key factor that can dramatically affect their energy expenditure. We collated published data on the costs for birds and mammals to locomote terrestrially on inclines, and investigated the scaling relationships using a phylogenetically informed approach. We show that smaller animals have a greater mass-specific cost of transport on inclines across the body mass range analysed. We also demonstrate that the increase in cost for smaller animals to run up a slope relative to along a flat surface is comparatively low. Heavier animals show larger absolute and relative increases in energy cost to travel uphill. Consideration of all aspects of the cost of incline locomotion – absolute, relative, and mass-specific – provides a fuller understanding of the interactions between transport costs, body mass, incline gradient and phylogeny, and enables us to consider their ecological implications, which we couch within the context of the ‘energy landscape‘.
Collapse
Affiliation(s)
- Lewis G. Halsey
- Centre for Research in Ecology, Department of Life Sciences, University of Roehampton, Holybourne Avenue, London, SW15 4JD, U.K
| | - Craig R. White
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| |
Collapse
|
41
|
Willener AST, Handrich Y, Halsey LG, Strike S. Effect of walking speed on the gait of king penguins: An accelerometric approach. J Theor Biol 2015; 387:166-73. [PMID: 26427338 DOI: 10.1016/j.jtbi.2015.09.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Revised: 08/20/2015] [Accepted: 09/15/2015] [Indexed: 10/23/2022]
Abstract
Little is known about non-human bipedal gaits. This is probably due to the fact that most large animals are quadrupedal and that non-human bipedal animals are mostly birds, whose primary form of locomotion is flight. Very little research has been conducted on penguin pedestrian locomotion with the focus instead on their associated high energy expenditure. In animals, tri-axial accelerometers are frequently used to estimate physiological energy cost, as well as to define the behaviour pattern of a species, or the kinematics of swimming. In this study, we showed how an accelerometer-based technique could be used to determine the biomechanical characteristics of pedestrian locomotion. Eight king penguins, which represent the only family of birds to have an upright bipedal gait, were trained to walk on a treadmill. The trunk tri-axial accelerations were recorded while the bird was walking at four different speeds (1.0, 1.2, 1.4 and 1.6km/h), enabling the amplitude of dynamic body acceleration along the three axes (amplitude of DBAx, DBAy and DBAz), stride frequency, waddling and leaning amplitude, as well as the leaning angle to be defined. The magnitude of the measured variables showed a significant increase with increasing speed, apart from the backwards angle of lean, which decreased with increasing speed. The variability of the measured variables also showed a significant increase with speed apart from the DBAz amplitude, the waddling amplitude, and the leaning angle, where no significant effect of the walking speed was found. This paper is the first approach to describe 3D biomechanics with an accelerometer on wild animals, demonstrating the potential of this technique.
Collapse
Affiliation(s)
- Astrid S T Willener
- Department of Life Sciences, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK; Université de Strasbourg, IPHC, 23 rue Becquerel, 67087 Strasbourg, France; CNRS, UMR7178, 67087 Strasbourg, France.
| | - Yves Handrich
- Université de Strasbourg, IPHC, 23 rue Becquerel, 67087 Strasbourg, France; CNRS, UMR7178, 67087 Strasbourg, France
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK
| | - Siobhán Strike
- Department of Life Sciences, University of Roehampton, Holybourne Avenue, London SW15 4JD, UK
| |
Collapse
|
42
|
Halsey LG. A Full Immersion into Diving Physiology and Other Feats of Metabolic Suppression. Trends Ecol Evol 2015. [DOI: 10.1016/j.tree.2015.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
43
|
Collins PM, Green JA, Warwick‐Evans V, Dodd S, Shaw PJA, Arnould JPY, Halsey LG. Interpreting behaviors from accelerometry: a method combining simplicity and objectivity. Ecol Evol 2015; 5:4642-54. [PMID: 26668729 PMCID: PMC4670056 DOI: 10.1002/ece3.1660] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 07/21/2015] [Accepted: 07/22/2015] [Indexed: 11/30/2022] Open
Abstract
Quantifying the behavior of motile, free-ranging animals is difficult. The accelerometry technique offers a method for recording behaviors but interpretation of the data is not straightforward. To date, analysis of such data has either involved subjective, study-specific assignments of behavior to acceleration data or the use of complex analyses based on machine learning. Here, we present a method for automatically classifying acceleration data to represent discrete, coarse-scale behaviors. The method centers on examining the shape of histograms of basic metrics readily derived from acceleration data to objectively determine threshold values by which to separate behaviors. Through application of this method to data collected on two distinct species with greatly differing behavioral repertoires, kittiwakes, and humans, the accuracy of this approach is demonstrated to be very high, comparable to that reported for other automated approaches already published. The method presented offers an alternative to existing methods as it uses biologically grounded arguments to distinguish behaviors, it is objective in determining values by which to separate these behaviors, and it is simple to implement, thus making it potentially widely applicable. The R script coding the method is provided.
Collapse
Affiliation(s)
- Philip M. Collins
- School of Life SciencesUniversity of RoehamptonHolybourne AvenueLondonSW15 4JDUnited Kingdom
| | - Jonathan A. Green
- School of Environmental SciencesUniversity of LiverpoolLiverpoolL69 3GPUnited Kingdom
| | | | - Stephen Dodd
- Royal Society for the Protection of BirdsNorth Wales OfficeBangorLL57 4FDUnited Kingdom
| | - Peter J. A. Shaw
- School of Life SciencesUniversity of RoehamptonHolybourne AvenueLondonSW15 4JDUnited Kingdom
| | - John P. Y. Arnould
- School of Life and Environmental SciencesDeakin UniversityMelbourneVictoria3125Australia
| | - Lewis G. Halsey
- School of Life SciencesUniversity of RoehamptonHolybourne AvenueLondonSW15 4JDUnited Kingdom
| |
Collapse
|
44
|
Affiliation(s)
- Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London, UK
| | - Douglas Curran-Everett
- Division of Biostatistics and Bioinformatics, National Jewish Health, and the Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Denver, Colorado, USA
| | - Sarah L Vowler
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | |
Collapse
|
45
|
Rey B, Halsey LG, Hetem RS, Fuller A, Mitchell D, Rouanet JL. Estimating resting metabolic rate by biologging core and subcutaneous temperature in a mammal. Comp Biochem Physiol A Mol Integr Physiol 2015; 183:72-7. [DOI: 10.1016/j.cbpa.2015.01.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Revised: 01/21/2015] [Accepted: 01/21/2015] [Indexed: 11/25/2022]
|
46
|
Reilly SM, Montuelle SJ, Schmidt A, Naylor E, Jorgensen ME, Halsey LG, Essner RL. Conquering the world in leaps and bounds: hopping locomotion in toads is actually bounding. Funct Ecol 2015. [DOI: 10.1111/1365-2435.12414] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Stephen M. Reilly
- Department of Biological Sciences Ohio University Athens OH45701 USA
| | - Stephane J. Montuelle
- Department of Biomedical Sciences Ohio University Heritage College of Osteopathic Medicine Athens OH 45701 USA
| | - Andre Schmidt
- Department of Biomedical Sciences Ohio University Heritage College of Osteopathic Medicine Athens OH 45701 USA
- Orthopedic University Hospital Friedrichsheim Frankfurt/Main 60528 DE
| | - Emily Naylor
- Department of Biological Sciences Ohio University Athens OH45701 USA
| | - Michael E. Jorgensen
- Department of Pathology and Anatomical Sciences University of Missouri Columbia MO 65212 USA
| | - Lewis G. Halsey
- Department of Life Sciences University of Roehampton London SW154JD UK
| | - Richard L. Essner
- Department of Biological Sciences Southern Illinois University Edwardsville IL 62026 USA
| |
Collapse
|
47
|
Halsey LG, Matthews PGD, Rezende EL, Chauvaud L, Robson AA. The interactions between temperature and activity levels in driving metabolic rate: theory, with empirical validation from contrasting ectotherms. Oecologia 2015; 177:1117-29. [PMID: 25575673 DOI: 10.1007/s00442-014-3190-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 12/10/2014] [Indexed: 11/27/2022]
Abstract
The rate of change in resting metabolic rate (RMR) as a result of a temperature increase of 10 °C is termed the temperature coefficient (Q10), which is often used to predict how an organism's total MR will change with temperature. However, this method neglects a potentially key component of MR; changes in activity level (and thus activity MR; AMR) with temperature may significantly alter the relationship between MR and temperature. The present study seeks to describe how thermal effects on total MR estimated from RMR-temperature measurements can be misleading when the contribution of activity to total MR is neglected. A simple conceptual framework illustrates that since the relationship between activity levels and temperature can be different to the relationship between RMR and temperature, a consistent relationship between RMR and total MR cannot be assumed. Thus the thermal effect on total MR can be considerably different to the thermal effect on RMR. Simultaneously measured MR and activity from three ectotherm species with differing behavioural and physiological ecologies were used to empirically examine how changes in temperature drive changes in RMR, activity level, AMR and the Q10 of MR. These species exhibited varied activity- and MR-temperature relationships, underlining the difficulty in predicting thermal influences on activity levels and total MR. These data support a model showing that thermal effects on total MR will deviate from predictions based solely on RMR; this deviation will depend upon the difference in Q10 between AMR and RMR, and the relative contribution of AMR to total MR. To develop mechanistic, predictive models for species' metabolic responses to temperature changes, empirical information about the relationships between activity levels, MR and temperature, such as reported here, is required. This will supersede predictions based on RMR alone.
Collapse
Affiliation(s)
- L G Halsey
- Department of Life Sciences, Centre for Research in Ecology, University of Roehampton, Holybourne Avenue, London, SW15 4JD, UK,
| | | | | | | | | |
Collapse
|
48
|
Reeves S, Huber JW, Halsey LG, Villegas-Montes M, Elgumati J, Smith T. A cross-over experiment to investigate possible mechanisms for lower BMIs in people who habitually eat breakfast. Eur J Clin Nutr 2015; 69:632-7. [DOI: 10.1038/ejcn.2014.269] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Revised: 11/03/2014] [Accepted: 11/17/2014] [Indexed: 11/09/2022]
|
49
|
Abstract
Research in to short-term cardio-respiratory changes in animals in reaction to a psychological stressor typically describes increases in rate of oxygen consumption (V̇(O2)) and heart rate. Consequently, the broad consensus is that they represent a fundamental stressor response generalizable across adult species. However, movement levels can also change in the presence of a stressor, yet studies have not accounted for this possible confound on heart rate. Thus the direct effects of psychological stressors on the cardio-respiratory system are not resolved. We used an innovative experimental design employing accelerometers attached to king penguins (Aptenodytes patagonicus) to measure and thus account for movement levels in a sedentary yet free-to-move animal model during a repeated measures stress experiment. As with previous studies on other species, incubating king penguins (N = 6) exhibited significant increases in both V̇(O2) and heart rate when exposed to the stressor. However, movement levels, while still low, also increased in response to the stressor. Once this was accounted for by comparing periods of time during the control and stress conditions when movement levels were similar as recorded by the accelerometers, only V̇(O2) significantly increased; there was no change in heart rate. These findings offer evidence that changing movement levels have an important effect on the measured stress response and that the cardio-respiratory response per se to a psychological stressor (i.e. the response as a result of physiological changes directly attributable to the stressor) is an increase in V̇(O2) without an increase in heart rate.
Collapse
|
50
|
Coward SRL, Halsey LG. Energy expended during horizontal jumping: investigating the effects of surface compliance. Biol Open 2014; 3:815-20. [PMID: 25150277 PMCID: PMC4163658 DOI: 10.1242/bio.20148672] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Accepted: 07/17/2014] [Indexed: 12/02/2022] Open
Abstract
We present the first data on the metabolic costs of horizontal jumping in humans, using this tractable model to explore variations in energy expenditure with substrate properties, and consider these findings in light of kinematic data. Twenty-four participants jumped consistently at the rate of 1 jump per 5 s between opposing springboards separated by either a short (1.2 m) or long (1.8 m) gap. Springboards were either 'firm' or 'compliant'. Respiratory gas exchange was measured using a back-mounted portable respiratory gas analyser to represent rate of energy expenditure, which was converted to energy expenditure per metre jumped. Video data were recorded to interpret kinematic information. Horizontal jumping was found to be between around 10 and 20 times the energy cost of cursorial locomotion per unit distance moved. There is considerable evidence from the data that jumping 1.8 m from a compliant springboard (134.9 mL O2 m(-1)) is less costly energetically than jumping that distance from a firm springboard (141.6 mL O2 m(-1)), albeit the effect size is quite small within the range of compliances tested in this study. However, there was no evidence of an effect of springboard type for jumps of 1.2 m. The kinematic analyses indicate possible explanations for these findings. Firstly, the calf muscle is likely used more, and the thigh muscles less, to take-off from a firm springboard during 1.8 m jumps, which may result in the power required to take-off being produced less efficiently. Secondly, the angle of take-off from the compliant surface during 1.8 m jumps is closer to the optimal for energetic efficiency (45°), possible due to the impulse provided by the surface as it returns stored energy during the final stages of the take-off. The theoretical effect on energy costs due to a different take-off angle for jumps of only 1.2 m is close to negligible.
Collapse
Affiliation(s)
- Samuel R L Coward
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Lewis G Halsey
- Centre for Research in Ecology, Department of Life Sciences, University of Roehampton, London SW15 4JD, UK
| |
Collapse
|