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Fujimoto S, Sumarto BKA, Murase I, Mokodongan DF, Myosho T, Yagi M, Ansai S, Kitano J, Takeda S, Yamahira K. Evolution of Size-Fecundity Relationship in Medaka Fish From Different Latitudes. Mol Ecol 2024; 33:e17578. [PMID: 39500716 PMCID: PMC11589666 DOI: 10.1111/mec.17578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 09/26/2024] [Accepted: 10/09/2024] [Indexed: 11/27/2024]
Abstract
In most fishes, the number of offspring increases with maternal body size. Although this size-fecundity relationship often varies among species as a result of the coevolution of life-history traits, the genetic basis of such size-fecundity relationships remains unclear. We explored the genetic basis underlying this size-fecundity relationship in two small medaka species, Oryzias latipes and O. sakaizumii. Our findings showed that O. sakaizumii has a higher fecundity than O. latipes, and quantitative trait locus analysis using interspecific F2 hybrids showed that chromosome 23 is linked to the size-fecundity relationship. In particular, the genes igf1 and lep-b in this region are known to be associated with life-history traits, including somatic growth, gonad maturation, and progeny numbers in various taxa. Because O. sakaizumii is distributed at higher latitudes and has a shorter spawning season than O. latipes in the wild, we propose that the relatively high fecundity observed in O. sakaizumii is an adaptation to high latitudes. We also discuss the potential ecological ramifications associated with the evolution of increased fecundity in this species.
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Affiliation(s)
- Shingo Fujimoto
- Integrated Technology CenterUniversity of the RyukyusOkinawaJapan
- Tropical Biosphere Research CenterUniversity of the RyukyusOkinawaJapan
| | | | - Iki Murase
- Tropical Biosphere Research CenterUniversity of the RyukyusOkinawaJapan
| | | | - Taijun Myosho
- Laboratory of Molecular Reproductive Biology, Institute for Environmental SciencesUniversity of ShizuokaShizuokaJapan
| | - Mitsuharu Yagi
- Graduate School of Fisheries and Environmental SciencesNagasaki UniversityNagasakiJapan
| | - Satoshi Ansai
- Department of Genomics and Evolutionary Biology, Ecological Genetics LaboratoryNational Institute of GeneticsMishimaJapan
- Ushimado Marine InstituteOkayama UniversitySetouchiJapan
| | - Jun Kitano
- Department of Genomics and Evolutionary Biology, Ecological Genetics LaboratoryNational Institute of GeneticsMishimaJapan
| | - Satoshi Takeda
- Research Center for Marine Biology, Graduate School of Life SciencesTohoku UniversityAomoriJapan
| | - Kazunori Yamahira
- Tropical Biosphere Research CenterUniversity of the RyukyusOkinawaJapan
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2
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Ginther SC, Cameron H, White CR, Marshall DJ. Metabolic loads and the costs of metazoan reproduction. Science 2024; 384:763-767. [PMID: 38753775 DOI: 10.1126/science.adk6772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 04/09/2024] [Indexed: 05/18/2024]
Abstract
Reproduction includes two energy investments-the energy in the offspring and the energy expended to make them. The former is well understood, whereas the latter is unquantified but often assumed to be small. Without understanding both investments, the true energy costs of reproduction are unknown. We present a framework for estimating the total energy costs of reproduction by combining data on the energy content of offspring (direct costs) and the metabolic load of bearing them (indirect costs). We find that direct costs typically represent the smaller fraction of the energy expended on reproduction. Mammals pay the highest reproductive costs (excluding lactation), ~90% of which are indirect. Ectotherms expend less on reproduction overall, and live-bearing ectotherms pay higher indirect costs compared with egg-layers. We show that the energy demands of reproduction exceed standard assumptions.
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Affiliation(s)
- Samuel C Ginther
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Hayley Cameron
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
- School of Biosciences, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Craig R White
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Dustin J Marshall
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
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Alton LA, Kutz T, Bywater CL, Lombardi E, Cockerell FE, Layh S, Winwood-Smith H, Arnold PA, Beaman JE, Walter GM, Monro K, Mirth CK, Sgrò CM, White CR. Temperature and nutrition do not interact to shape the evolution of metabolic rate. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220484. [PMID: 38186272 PMCID: PMC10772606 DOI: 10.1098/rstb.2022.0484] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/22/2023] [Indexed: 01/09/2024] Open
Abstract
Metabolic cold adaptation, or Krogh's rule, is the controversial hypothesis that predicts a monotonically negative relationship between metabolic rate and environmental temperature for ectotherms living along thermal clines measured at a common temperature. Macrophysiological patterns consistent with Krogh's rule are not always evident in nature, and experimentally evolved responses to temperature have failed to replicate such patterns. Hence, temperature may not be the sole driver of observed variation in metabolic rate. We tested the hypothesis that temperature, as a driver of energy demand, interacts with nutrition, a driver of energy supply, to shape the evolution of metabolic rate to produce a pattern resembling Krogh's rule. To do this, we evolved replicate lines of Drosophila melanogaster at 18, 25 or 28°C on control, low-calorie or low-protein diets. Contrary to our prediction, we observed no effect of nutrition, alone or interacting with temperature, on adult female and male metabolic rates. Moreover, support for Krogh's rule was only in females at lower temperatures. We, therefore, hypothesize that observed variation in metabolic rate along environmental clines arises from the metabolic consequences of environment-specific life-history optimization, rather than because of the direct effect of temperature on metabolic rate. This article is part of the theme issue 'The evolutionary significance of variation in metabolic rates'.
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Affiliation(s)
- Lesley A. Alton
- Centre for Geometric Biology, Monash University, Melbourne, Victoria 3800, Australia
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Teresa Kutz
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Candice L. Bywater
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Emily Lombardi
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Fiona E. Cockerell
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Sean Layh
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Hugh Winwood-Smith
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Pieter A. Arnold
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Julian E. Beaman
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Greg M. Walter
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Keyne Monro
- Centre for Geometric Biology, Monash University, Melbourne, Victoria 3800, Australia
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Christen K. Mirth
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Carla M. Sgrò
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
| | - Craig R. White
- Centre for Geometric Biology, Monash University, Melbourne, Victoria 3800, Australia
- School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia
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4
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Kindsvater HK, Juan‐Jordá M, Dulvy NK, Horswill C, Matthiopoulos J, Mangel M. Size-dependence of food intake and mortality interact with temperature and seasonality to drive diversity in fish life histories. Evol Appl 2024; 17:e13646. [PMID: 38333556 PMCID: PMC10848883 DOI: 10.1111/eva.13646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 12/06/2023] [Accepted: 01/05/2024] [Indexed: 02/10/2024] Open
Abstract
Understanding how growth and reproduction will adapt to changing environmental conditions is a fundamental question in evolutionary ecology, but predicting the responses of specific taxa is challenging. Analyses of the physiological effects of climate change upon life history evolution rarely consider alternative hypothesized mechanisms, such as size-dependent foraging and the risk of predation, simultaneously shaping optimal growth patterns. To test for interactions between these mechanisms, we embedded a state-dependent energetic model in an ecosystem size-spectrum to ask whether prey availability (foraging) and risk of predation experienced by individual fish can explain observed diversity in life histories of fishes. We found that asymptotic growth emerged from size-based foraging and reproductive and mortality patterns in the context of ecosystem food web interactions. While more productive ecosystems led to larger body sizes, the effects of temperature on metabolic costs had only small effects on size. To validate our model, we ran it for abiotic scenarios corresponding to the ecological lifestyles of three tuna species, considering environments that included seasonal variation in temperature. We successfully predicted realistic patterns of growth, reproduction, and mortality of all three tuna species. We found that individuals grew larger when environmental conditions varied seasonally, and spawning was restricted to part of the year (corresponding to their migration from temperate to tropical waters). Growing larger was advantageous because foraging and spawning opportunities were seasonally constrained. This mechanism could explain the evolution of gigantism in temperate tunas. Our approach addresses variation in food availability and individual risk as well as metabolic processes and offers a promising approach to understand fish life-history responses to changing ocean conditions.
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Affiliation(s)
- Holly K. Kindsvater
- Department of Fish and Wildlife ConservationVirginia Polytechnic Institute and State UniversityBlacksburgVirginiaUSA
| | - Maria‐José Juan‐Jordá
- Earth to Ocean Research Group, Department of Biological SciencesSimon Fraser UniversityBurnabyBritish ColumbiaCanada
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA)GipuzkoaSpain
- Instituto Español de Oceanografía (IEO‐CSIC), Centro Oceanográfico de MadridMadridSpain
| | - Nicholas K. Dulvy
- Earth to Ocean Research Group, Department of Biological SciencesSimon Fraser UniversityBurnabyBritish ColumbiaCanada
| | - Cat Horswill
- ZSL Institute of ZoologyLondonUK
- Centre for Biodiversity and Environmental Research, Department of Genetics, Evolution and EnvironmentUniversity College LondonLondonUK
| | - Jason Matthiopoulos
- Institute of Biodiversity, One Health and Veterinary MedicineUniversity of GlasgowGlasgowUK
| | - Marc Mangel
- Theoretical Ecology Group, Department of BiologyUniversity of BergenBergenNorway
- Institute of Marine Sciences and Department of Applied Mathematics and StatisticsUniversity of CaliforniaSanta CruzCaliforniaUSA
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Ouyang M, Tian D, Niklas KJ, Yan Z, Han W, Yu Q, Chen G, Ji C, Tang Z, Fang J. The scaling of elemental stoichiometry and growth rate over the course of bamboo ontogeny. THE NEW PHYTOLOGIST 2024; 241:1088-1099. [PMID: 37991013 DOI: 10.1111/nph.19408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 10/31/2023] [Indexed: 11/23/2023]
Abstract
Stoichiometric rules may explain the allometric scaling among biological traits and body size, a fundamental law of nature. However, testing the scaling of elemental stoichiometry and growth to size over the course of plant ontogeny is challenging. Here, we used a fast-growing bamboo species to examine how the concentrations and contents of carbon (C), nitrogen (N) and phosphorus (P), relative growth rate (G), and nutrient productivity scale with whole-plant mass (M) at the culm elongation and maturation stages. The whole-plant C content vs M and N content vs P content scaled isometrically, and the N or P content vs M scaled as a general 3/4 power function across both growth stages. The scaling exponents of G vs M and N (and P) productivity in newly grown mass vs M relationships across the whole growth stages decreased as a -1 power function. These findings reveal the previously undocumented generality of stoichiometric allometries over the course of plant ontogeny and provide new insights for understanding the origin of ubiquitous quarter-power scaling laws in the biosphere.
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Affiliation(s)
- Ming Ouyang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Di Tian
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, 100083, China
| | - Karl J Niklas
- Department of Plant Biology, Cornell University, Ithaca, NY, 14850, USA
| | - Zhengbing Yan
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Wenxuan Han
- Key Laboratory of Plant-Soil Interactions, Ministry of Education, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Qingshui Yu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Guoping Chen
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Chengjun Ji
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Zhiyao Tang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Jingyun Fang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
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Skeeles MR, Scheuffele H, Clark TD. Supplemental oxygen does not improve growth but can enhance reproductive capacity of fish. Proc Biol Sci 2023; 290:20231779. [PMID: 37909085 PMCID: PMC10618859 DOI: 10.1098/rspb.2023.1779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/05/2023] [Indexed: 11/02/2023] Open
Abstract
Fish tend to grow faster as the climate warms but attain a smaller adult body size following an earlier age at sexual maturation. Despite the apparent ubiquity of this phenomenon, termed the temperature-size rule (TSR), heated scientific debates have revealed a poor understanding of the underlying mechanisms. At the centre of these debates are prominent but marginally tested hypotheses which implicate some form of 'oxygen limitation' as the proximate cause. Here, we test the role of oxygen limitation in the TSR by rearing juvenile Galaxias maculatus for a full year in current-day (15°C) and forecasted (20°C) summer temperatures while providing half of each temperature group with supplemental oxygen (hyperoxia). True to the TSR, fish in the warm treatments grew faster and reached sexual maturation earlier than their cooler conspecifics. Yet, despite supplemental oxygen significantly increasing maximum oxygen uptake rate, our findings contradict leading hypotheses by showing that the average size at sexual maturation and the adult body size did not differ between normoxia and hyperoxia groups. We did, however, discover that hyperoxia extended the reproductive window, independent of fish size and temperature. We conclude that the intense resource investment in reproduction could expose a bottleneck where oxygen becomes a limiting factor.
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Affiliation(s)
- Michael R. Skeeles
- School of Life and Environmental Sciences, Deakin University, Geelong, Victoria 3216, Australia
| | - Hanna Scheuffele
- School of Life and Environmental Sciences, Deakin University, Geelong, Victoria 3216, Australia
| | - Timothy D. Clark
- School of Life and Environmental Sciences, Deakin University, Geelong, Victoria 3216, Australia
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7
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White CR, Marshall DJ. How and Why Does Metabolism Scale with Body Mass? Physiology (Bethesda) 2023; 38:0. [PMID: 37698354 DOI: 10.1152/physiol.00015.2023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/08/2023] [Accepted: 09/08/2023] [Indexed: 09/13/2023] Open
Abstract
Most explanations for the relationship between body size and metabolism invoke physical constraints; such explanations are evolutionarily inert, limiting their predictive capacity. Contemporary approaches to metabolic rate and life history lack the pluralism of foundational work. Here, we call for reforging of the lost links between optimization approaches and physiology.
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Affiliation(s)
- Craig R White
- School of Biological Sciences and Centre for Geometric Biology, Monash University, Clayton, Victoria, Australia
| | - Dustin J Marshall
- School of Biological Sciences and Centre for Geometric Biology, Monash University, Clayton, Victoria, Australia
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8
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Glazier DS. The Relevance of Time in Biological Scaling. BIOLOGY 2023; 12:1084. [PMID: 37626969 PMCID: PMC10452035 DOI: 10.3390/biology12081084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/13/2023] [Accepted: 07/31/2023] [Indexed: 08/27/2023]
Abstract
Various phenotypic traits relate to the size of a living system in regular but often disproportionate (allometric) ways. These "biological scaling" relationships have been studied by biologists for over a century, but their causes remain hotly debated. Here, I focus on the patterns and possible causes of the body-mass scaling of the rates/durations of various biological processes and life-history events, i.e., the "pace of life". Many biologists have regarded the rate of metabolism or energy use as the master driver of the "pace of life" and its scaling with body size. Although this "energy perspective" has provided valuable insight, here I argue that a "time perspective" may be equally or even more important. I evaluate various major ways that time may be relevant in biological scaling, including as (1) an independent "fourth dimension" in biological dimensional analyses, (2) a universal "biological clock" that synchronizes various biological rates/durations, (3) a scaling method that uses various biological time periods (allochrony) as scaling metrics, rather than various measures of physical size (allometry), as traditionally performed, (4) an ultimate body-size-related constraint on the rates/timing of biological processes/events that is set by the inevitability of death, and (5) a geological "deep time" approach for viewing the evolution of biological scaling patterns. Although previously proposed universal four-dimensional space-time and "biological clock" views of biological scaling are problematic, novel approaches using allochronic analyses and time perspectives based on size-related rates of individual mortality and species origination/extinction may provide new valuable insights.
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