1
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Mulu G, Ejigu D. Distribution range and human-hippopotamus (Hippopotamus amphibious) conflict in the Lake Tana biosphere reserve, Ethiopia. BMC ZOOL 2025; 10:9. [PMID: 40410887 PMCID: PMC12100861 DOI: 10.1186/s40850-025-00231-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2024] [Accepted: 05/13/2025] [Indexed: 05/25/2025] Open
Abstract
BACKGROUND Hippopotamus (Hippopotamus amphibious) is a semi-aquatic mammal that is considered the third largest living land mammal still alive on earth. The main objective of this study was to determine the distribution range and human-hippopotamus conflicts in the Lake Tana Biosphere Reserve, Ethiopia. Data were collected from June 2022 to January 2023. Total count methods were used to estimate the hippopotamus population, and Arc GIS was used to determine the distribution range and habitat suitability of hippopotamus. Structured questionnaire and focus group discussions were used to collect data on human-hippopotamus conflict. Data were analysed using One-way ANOVA, independent t-test, and chi-sqaure test. RESULTS The mean population estimation of hippopotamus in in the study area showed 252.67 ± 15.9 with a density of 0.072 individuals per km2. The suitable slope analysis of hippopotamus along the the Lake Tana Biosphere Reserve's shoreline revealed that 4.7% of the shoreline was most suitable, 48.4% moderately suitable, and 46.9% not suitable. Variations in the hippopotamus' habitat suitability within the study area have been associated with a number of factors including availability of water, food, elevation, and vegetation cover. Crop raiding and overgrazing were the primary causes for conflict. CONCLUSION In order to conserve hippopotamus in the in the Lake Tana Biosphere Reserve, appropriate conservation measures including habitat protection and restoration, and community engagement and education need to be developed. Moreover, further research on the ecological aspects of the Lake's ecosystem is required to ensure the conservation of hippopotamus.
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Affiliation(s)
- Getasew Mulu
- Department of Biology, College of Science, Bahir Dar University, Bahir Dar, Ethiopia
| | - Dessalegn Ejigu
- Department of Biology, College of Science, Bahir Dar University, Bahir Dar, Ethiopia.
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2
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Morimoto J, Pietras Z. Proteome Size Is Positively Correlated with Lifespan in Mammals but Negatively Correlated with Lifespan in Birds. Adv Biol (Weinh) 2025; 9:e2400633. [PMID: 39957468 PMCID: PMC12001000 DOI: 10.1002/adbi.202400633] [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: 10/21/2024] [Revised: 01/08/2025] [Indexed: 02/18/2025]
Abstract
The central dogma describes the unidirectional flow of genetic information from DNA to proteins, leading to an underappreciation of the potential for the information contained in proteomes (the full set of proteins in an organism) to reflect broader biological processes such as lifespan. Here, this is addressed by examining how the size and composition of 276 proteomes from four vertebrate classes are related to lifespan. After accounting for the relationship between body weight and lifespan, lifespan is negatively correlated with proteome size in birds and, to a weaker extent, in fish, and positively correlated with lifespan in mammals. Proteome composition varies amongst the four vertebrate classes, but there is no evidence that any specific amino acid correlated with lifespan. The findings in relation to the role of dietary amino acid restriction are discussed on lifespan extension and raise questions about evolutionary and structural forces shaping proteome composition across species.
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Affiliation(s)
- Juliano Morimoto
- Institute of MathematicsSchool of Natural and Computing SciencesUniversity of AberdeenFraser Noble BuildingAberdeenAB24 3UEUK
- Programa de Pós‐graduação em Ecologia e ConservaçãoUniversidade Federal do ParanáCuritiba82590‐300Brazil
| | - Zuzanna Pietras
- Department of PhysicsChemistry and Biology (IFM)Linköping UniversityLinköping581 83Sweden
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3
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Harris A, Burnham K, Pradhyumnan R, Jaishankar A, Häkkinen L, Góngora-Rosero RE, Piazza Y, Andl CD, Andl T. Human-Specific Organization of Proliferation and Stemness in Squamous Epithelia: A Comparative Study to Elucidate Differences in Stem Cell Organization. Int J Mol Sci 2025; 26:3144. [PMID: 40243939 PMCID: PMC11989042 DOI: 10.3390/ijms26073144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2025] [Revised: 03/19/2025] [Accepted: 03/26/2025] [Indexed: 04/18/2025] Open
Abstract
The mechanisms that influence human longevity are complex and operate on cellular, tissue, and organismal levels. To better understand the tissue-level mechanisms, we compared the organization of cell proliferation, differentiation, and cytoprotective protein expression in the squamous epithelium of the esophagus between mammals with varying lifespans. Humans are the only species with a quiescent basal stem cell layer that is distinctly physically separated from parabasal transit-amplifying cells. In addition to these stark differences in the organization of proliferation, human squamous epithelial stem cells express DNA repair-related markers, such as MECP2 and XPC, which are absent or low in mouse basal cells. Furthermore, we investigated whether the transition from basal to suprabasal is different between species. In humans, the parabasal cells seem to originate from cells detaching from the basement membrane, and these can already begin to proliferate while delaminating. In most other species, delaminating cells have been rare or their proliferation rate is different from that of their human counterparts, indicating an alternative mode of how stem cells maintain the tissue. In humans, the combination of an elevated cytoprotective signature and novel tissue organization may enhance resistance to aging and prevent cancer. Our results point to enhanced cellular cytoprotection and a tissue architecture which separates stemness and proliferation. These are both potential factors contributing to the increased fitness of human squamous epithelia to support longevity by suppressing tumorigenesis. However, the organization of canine oral mucosa shows some similarities to that of human tissue and may provide a useful model to understand the relationship between tissue architecture, gene expression regulation, tumor suppression, and longevity.
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Affiliation(s)
- Ashlee Harris
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32826, USA (K.B.); (R.P.); (R.E.G.-R.)
| | - Kaylee Burnham
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32826, USA (K.B.); (R.P.); (R.E.G.-R.)
| | - Ram Pradhyumnan
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32826, USA (K.B.); (R.P.); (R.E.G.-R.)
| | - Arthi Jaishankar
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32826, USA (K.B.); (R.P.); (R.E.G.-R.)
| | - Lari Häkkinen
- Department of Oral Biological and Medical Sciences, Faculty of Dentistry, University of British Columbia, Vancouver, BC V6T 1Z1, Canada;
| | - Rafael E. Góngora-Rosero
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32826, USA (K.B.); (R.P.); (R.E.G.-R.)
| | - Yelena Piazza
- College of Medicine, University of Central Florida, Orlando, FL 32827, USA
| | - Claudia D. Andl
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32826, USA (K.B.); (R.P.); (R.E.G.-R.)
| | - Thomas Andl
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32826, USA (K.B.); (R.P.); (R.E.G.-R.)
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4
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Kapsetaki SE, Basile AJ, Compton ZT, Rupp SM, Duke EG, Boddy AM, Harrison TM, Sweazea KL, Maley CC. The relationship between diet, plasma glucose, and cancer prevalence across vertebrates. Nat Commun 2025; 16:2271. [PMID: 40074744 PMCID: PMC11904020 DOI: 10.1038/s41467-025-57344-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 02/18/2025] [Indexed: 03/14/2025] Open
Abstract
Birds have higher plasma glucose concentrations but lower cancer prevalence than other vertebrates. However, this inverse relationship between glucose and cancer may not hold within vertebrate groups. Given that diet affects blood sugar levels, and carnivores have higher cancer risk than herbivores, we also examined whether diet correlates with plasma glucose concentrations. We collected diet, mean plasma glucose concentration, and neoplasia data for up to 273 vertebrate species from existing databases. Across vertebrates, mean plasma glucose concentration negatively correlated with cancer prevalence, but that was mostly driven by differences in mean plasma glucose concentration and cancer prevalence between birds, mammals, and reptiles. Mean plasma glucose concentration was not correlated with diet across vertebrates nor with cancer prevalence within birds, mammals, or reptiles. Primary carnivores had higher neoplasia prevalence than herbivores when controlling for domestication. A hypothetical explanation for our results may be the evolutionary loss or downregulation of genes related to insulin-mediated glucose import in bird cells. This may have led to higher mean plasma glucose concentration, lower intracellular glucose concentrations in the form of glycogen, and production of fewer reactive oxygen species and inflammatory cytokines, potentially contributing to lower neoplasia prevalence in extant birds compared to mammals and reptiles.
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Affiliation(s)
- Stefania E Kapsetaki
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA.
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
- Tufts University, School of Arts and Sciences, Department of Biology, Medford, MA, USA.
- Frederick University, School of Health Sciences, Department of Pharmacology, Nicosia, Cyprus.
- Hellenic Open University, Patras, Greece.
| | - Anthony J Basile
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
- Department of Human Ecology, State University of New York (SUNY) at Oneonta, Oneonta, NY, USA
| | - Zachary T Compton
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- University of Arizona Cancer Center, Tucson, AZ, USA
- University of Arizona College of Medicine, Tucson, AZ, USA
| | - Shawn M Rupp
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Elizabeth G Duke
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC, USA
| | - Amy M Boddy
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC, USA
- Department of Anthropology, University of California, Santa Barbara, CA, USA
| | - Tara M Harrison
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC, USA
| | - Karen L Sweazea
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
- School of Life Sciences, 427 East Tyler Mall, Arizona State University, Tempe, AZ, USA
| | - Carlo C Maley
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, 427 East Tyler Mall, Arizona State University, Tempe, AZ, USA
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5
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Beltran RS, Kilpatrick AM, Adamczak SK, Beumer LT, Czapanskiy MF, Davidson SC, McLean BS, Mueller T, Payne AR, Soria CD, Weeks BC, Williams TM, Salguero-Gómez R. Integrating animal tracking and trait data to facilitate global ecological discoveries. J Exp Biol 2025; 228:JEB247981. [PMID: 39973193 PMCID: PMC11883293 DOI: 10.1242/jeb.247981] [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] [Indexed: 02/21/2025]
Abstract
Understanding animal movement is at the core of ecology, evolution and conservation science. Big data approaches for animal tracking have facilitated impactful synthesis research on spatial biology and behavior in ecologically important and human-impacted regions. Similarly, databases of animal traits (e.g. body size, limb length, locomotion method, lifespan) have been used for a wide range of comparative questions, with emerging data being shared at the level of individuals and populations. Here, we argue that the proliferation of both types of publicly available data creates exciting opportunities to unlock new avenues of research, such as spatial planning and ecological forecasting. We assessed the feasibility of combining animal tracking and trait databases to develop and test hypotheses across geographic, temporal and biological allometric scales. We identified multiple research questions addressing performance and distribution constraints that could be answered by integrating trait and tracking data. For example, how do physiological (e.g. metabolic rates) and biomechanical traits (e.g. limb length, locomotion form) influence migration distances? We illustrate the potential of our framework with three case studies that effectively integrate trait and tracking data for comparative research. An important challenge ahead is the lack of taxonomic and spatial overlap in trait and tracking databases. We identify critical next steps for future integration of tracking and trait databases, with the most impactful being open and interlinked individual-level data. Coordinated efforts to combine trait and tracking databases will accelerate global ecological and evolutionary insights and inform conservation and management decisions in our changing world.
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Affiliation(s)
- Roxanne S. Beltran
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - A. Marm Kilpatrick
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Stephanie K. Adamczak
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Larissa T. Beumer
- The University Centre in Svalbard, Longyearbyen 9170, Svalbard, Norway
| | - Max F. Czapanskiy
- Institute of Marine Sciences, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Sarah C. Davidson
- Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Konstanz, Germany
- Department of Biology, University of Konstanz, 78464 Konstanz, Germany
| | - Bryan S. McLean
- Department of Biology, University of North Carolina at Greensboro, Greensboro, NC 27412, USA
| | - Thomas Mueller
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), 60325 Frankfurt am Main, Germany
- Department of Biological Sciences, Goethe University, 60323 Frankfurt am Main, Germany
| | - Allison R. Payne
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Carmen D. Soria
- Department of Spatial Sciences, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, 165 00 Praha-Suchdol, Czech Republic
| | - Brian C. Weeks
- School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA
| | - Terrie M. Williams
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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6
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Mellon WJ, Sterner B, Ågren JA, Vincze O, Marx MT, Kapsetaki SE, Huang PH, Yavari B, McCollum HW, Natterson-Horowitz B, Human H, Baciu C, Richker H, Mallo D, Maley C, Harmon LJ, Compton ZT. Leveraging Comparative Phylogenetics for Evolutionary Medicine: Applications to Comparative Oncology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.02.11.637459. [PMID: 39990350 PMCID: PMC11844554 DOI: 10.1101/2025.02.11.637459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
Comparative phylogenetics provides a wealth of computational tools to understand evolutionary processes and their outcomes. Advances in these methodologies have occurred in parallel with a surge in cross-species genomic and phenotypic data. To date, however, the majority of published studies have focused on classical questions in evolutionary biology, such as speciation and the ecological drivers of trait evolution. Here, we argue that evolutionary medicine in general, and our understanding of the origin and diversification of disease traits in particular, would be greatly expanded by a wider integration of phylogenetic comparative methods (PCMs). We use comparative oncology - the study of cancer across the tree of life - as a case study to demonstrate the power of the approach and show that implementing PCMs can highlight the mode and tempo of the evolutionary changes in intrinsic, species-level disease vulnerabilities.
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Affiliation(s)
- Walker J Mellon
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
| | - Beckett Sterner
- School of Life Sciences, Arizona State University, Tempe, AZ
| | - J Arvid Ågren
- Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - Orsolya Vincze
- Institute of Aquatic Ecology, Centre for Ecological Research, 4026 Debrecen, Hungary
- Evolutionary Ecology Group, Hungarian Department of Biology and Ecology, Babeş-Bolyai
| | - Matthew T Marx
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
| | - Stefania E Kapsetaki
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
- Frederick University, School of Health Sciences, Department of Pharmacology, Nicosia, Cyprus
- Hellenic Open University, Patras, Greece
| | - Ping-Han Huang
- School of Mathematical and Statistical Sciences, Arizona State University
| | - Bryan Yavari
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
| | | | | | - Hannah Human
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
| | - Cristina Baciu
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
| | - Harley Richker
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
| | - Diego Mallo
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
| | - Carlo Maley
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
- School of Life Sciences, Arizona State University, Tempe, AZ
| | - Luke J Harmon
- Department of Biological Sciences, University of Idaho, Moscow, Idaho
| | - Zachary T Compton
- Arizona Cancer Evolution Center, The Biodesign Institute, Tempe, AZ
- University of Arizona Cancer Center, Tucson, AZ
- University of Arizona College of Medicine, Tucson, AZ
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7
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Wu L, Ji Y, Lei F. Two-Step Loss of GLUTs in the High-Metabolism Passerines. Integr Zool 2025. [PMID: 39940071 DOI: 10.1111/1749-4877.12958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Revised: 11/27/2024] [Accepted: 01/16/2025] [Indexed: 02/14/2025]
Abstract
Glucose transporters (GLUTs) play vital roles in cellular metabolism. Understanding their evolutionary dynamics in birds is essential for elucidating avian physiology and adaptation. However, the choice of gene detection method in gene family analysis may affect the conclusion. Here, we present a comprehensive investigation of methodologies and GLUT gene loss events in avian lineages, focusing on the loss of GLUT4 and GLUT8. To illustrate the effects of these methods, we first employed BUSCO-based homolog identification, calculated pairwise evolutionary distances between different species, and performed separate blastn and blastp searches to identify homologs in two groups of animals. Our analyses revealed a significant decline in blastn accuracy with increasing evolutionary distance, represented by relative divergence times. Through a more robust blastp-based gene detection pipeline, we provide evidence for the loss of GLUT genes in birds based on 58 vertebrate genomes, including 47 bird species. Our results support the reported early loss of GLUT4 in Aves. We also newly emphasize the absence of GLUT8 in passerines, potentially due to adaptation to high-sugar diets in their ancestors. These findings enhance our knowledge of avian metabolism and the evolution of GLUT genes.
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Affiliation(s)
- Lei Wu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yanzhu Ji
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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8
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Iannuzzi V, Narboux-Nême N, Lehoczki A, Levi G, Giuliani C. Stay social, stay young: a bioanthropological outlook on the processes linking sociality and ageing. GeroScience 2025; 47:721-744. [PMID: 39527178 PMCID: PMC11872968 DOI: 10.1007/s11357-024-01416-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 10/24/2024] [Indexed: 11/16/2024] Open
Abstract
In modern human societies, social interactions and pro-social behaviours are associated with better individual and collective health, reduced mortality, and increased longevity. Conversely, social isolation is a predictor of shorter lifespan. The biological processes through which sociality affects the ageing process, as well as healthspan and lifespan, are still poorly understood. Unveiling the physiological, neurological, genomic, epigenomic, and evolutionary mechanisms underlying the association between sociality and longevity may open new perspectives to understand how lifespan is determined in a broader socio/evolutionary outlook. Here we summarize evidence showing how social dynamics can shape the evolution of life history traits through physiological and genetic processes directly or indirectly related to ageing and lifespan. We start by reviewing theories of ageing that incorporate social interactions into their model. Then, we address the link between sociality and lifespan from two separate points of view: (i) considering evidences from comparative evolutionary biology and bioanthropology that demonstrates how sociality contributes to natural variation in lifespan over the course of human evolution and among different human groups in both pre-industrial and post-industrial society, and (ii) discussing the main physiological, neurological, genetic, and epigenetic molecular processes at the interface between sociality and ageing. We highlight that the exposure to chronic social stressors deregulates neurophysiological and immunological pathways and promotes accelerated ageing and thereby reducing lifespan. In conclusion, we describe how sociality and social dynamics are intimately embedded in human biology, influencing healthy ageing and lifespan, and we highlight the need to foster interdisciplinary approaches including social sciences, biological anthropology, human ecology, physiology, and genetics.
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Affiliation(s)
- Vincenzo Iannuzzi
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Selmi 3, 40126, Bologna, Italy
| | - Nicolas Narboux-Nême
- Physiologie Moléculaire Et Adaptation, CNRS UMR7221, Département AVIV, Muséum National d'Histoire Naturelle, Paris, France
| | - Andrea Lehoczki
- Doctoral College, Health Sciences Program, Semmelweis University, Budapest, Hungary
- Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary
| | - Giovanni Levi
- Physiologie Moléculaire Et Adaptation, CNRS UMR7221, Département AVIV, Muséum National d'Histoire Naturelle, Paris, France.
| | - Cristina Giuliani
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Selmi 3, 40126, Bologna, Italy.
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9
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Sugrue VJ, Prescott M, Glendining KA, Bond DM, Horvath S, Anderson GM, Garratt M, Campbell RE, Hore TA. The androgen clock is an epigenetic predictor of long-term male hormone exposure. Proc Natl Acad Sci U S A 2025; 122:e2420087121. [PMID: 39805019 PMCID: PMC11760496 DOI: 10.1073/pnas.2420087121] [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: 09/30/2024] [Accepted: 11/21/2024] [Indexed: 01/16/2025] Open
Abstract
Aging is a complex process characterized by biological decline and a wide range of molecular alterations to cells, including changes to DNA methylation. In this study, we used a male-specific epigenetic marker of aging to build an epigenetic predictor that measures long-term androgen exposure in sheep and mice (median absolute error of 4.3 and 1.4 mo, respectively). We term this predictor the androgen clock and show its "tick" is mediated by the androgen receptor and can be accelerated beyond that in normal male mice by supplementing females with dihydrotestosterone. Conversely, the removal of androgens by castration in sheep completely halted the androgen clock. In addition to potential applications in medicine and agriculture, we predict the androgen clock will prove a useful model to understand the mechanisms and processes of age-associated DNA methylation change because it can be precisely enhanced and halted using small molecule manipulation with few additional effects on the cell.
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Affiliation(s)
| | - Melanie Prescott
- Department of Physiology, University of Otago, Dunedin9016, New Zealand
| | | | - Donna M. Bond
- Department of Anatomy, University of Otago, Dunedin9016, New Zealand
| | - Steve Horvath
- Altos Laboratories, Cambridge Institute of Science, CambridgeCB21 6GQ, United Kingdom
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA90095
| | - Greg M. Anderson
- Department of Anatomy, University of Otago, Dunedin9016, New Zealand
| | - Michael Garratt
- Department of Anatomy, University of Otago, Dunedin9016, New Zealand
| | | | - Timothy A. Hore
- Department of Anatomy, University of Otago, Dunedin9016, New Zealand
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10
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Compton ZT, Mellon W, Harris VK, Rupp S, Mallo D, Kapsetaki SE, Wilmot M, Kennington R, Noble K, Baciu C, Ramirez LN, Peraza A, Martins B, Sudhakar S, Aksoy S, Furukawa G, Vincze O, Giraudeau M, Duke EG, Spiro S, Flach E, Davidson H, Li CI, Zehnder A, Graham TA, Troan BV, Harrison TM, Tollis M, Schiffman JD, Aktipis CA, Abegglen LM, Maley CC, Boddy AM. Cancer Prevalence across Vertebrates. Cancer Discov 2025; 15:227-244. [PMID: 39445720 PMCID: PMC11726020 DOI: 10.1158/2159-8290.cd-24-0573] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/17/2024] [Accepted: 09/24/2024] [Indexed: 10/25/2024]
Abstract
Cancer is pervasive across multicellular species, but what explains the differences in cancer prevalence across species? Using 16,049 necropsy records for 292 species spanning three clades of tetrapods (amphibians, sauropsids, and mammals), we found that neoplasia and malignancy prevalence increases with adult mass (contrary to Peto's paradox) and somatic mutation rate but decreases with gestation time. The relationship between adult mass and malignancy prevalence was only apparent when we controlled for gestation time. Evolution of cancer susceptibility appears to have undergone sudden shifts followed by stabilizing selection. Outliers for neoplasia prevalence include the common porpoise (<1.3%), the Rodrigues fruit bat (<1.6%), the black-footed penguin (<0.4%), ferrets (63%), and opossums (35%). Discovering why some species have particularly high or low levels of cancer may lead to a better understanding of cancer syndromes and novel strategies for the management and prevention of cancer. Significance: Evolution has discovered mechanisms for suppressing cancer in a wide variety of species. By analyzing veterinary necropsy records, we can identify species with exceptionally high or low cancer prevalence. Discovering the mechanisms of cancer susceptibility and resistance may help improve cancer prevention and explain cancer syndromes. See related commentary by Metzger, p. 14.
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Affiliation(s)
- Zachary T. Compton
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
- University of Arizona Cancer Center, Tucson, Arizona
- University of Arizona College of Medicine, Tucson, Arizona
| | - Walker Mellon
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Valerie K. Harris
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Shawn Rupp
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Diego Mallo
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Stefania E. Kapsetaki
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Mallory Wilmot
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Ryan Kennington
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Kathleen Noble
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Cristina Baciu
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
- Department of Psychology, Arizona State University, Tempe, Arizona
| | - Lucia N. Ramirez
- Genomic Sciences Graduate Program, North Carolina State University, Raleigh, North Carolina
| | - Ashley Peraza
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Brian Martins
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Sushil Sudhakar
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Selin Aksoy
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Gabriela Furukawa
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Orsolya Vincze
- Institute of Aquatic Ecology, Centre for Ecological Research, Debrecen, Hungary
- Evolutionary Ecology Group, Hungarian Department of Biology and Ecology, Babeş-Bolyai University, Cluj-Napoca, Romania
| | | | - Elizabeth G. Duke
- North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
- Exotic Species Cancer Research Alliance, North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
| | - Simon Spiro
- Wildlife Health Services, Zoological Society of London, London, United Kingdom
| | - Edmund Flach
- Wildlife Health Services, Zoological Society of London, London, United Kingdom
| | - Hannah Davidson
- North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
- Exotic Species Cancer Research Alliance, North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
| | - Christopher I. Li
- Translational Research Program and Epidemiology Program, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Ashley Zehnder
- Exotic Species Cancer Research Alliance, North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
| | - Trevor A. Graham
- Centre for Evolution and Cancer, Institute of Cancer Research, London, United Kingdom
| | - Brigid V. Troan
- North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
- Exotic Species Cancer Research Alliance, North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
- The North Carolina Zoo, Asheboro, North Carolina
| | - Tara M. Harrison
- North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
- Exotic Species Cancer Research Alliance, North Carolina State College of Veterinary Medicine, Raleigh, North Carolina
| | - Marc Tollis
- School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, Arizona
| | - Joshua D. Schiffman
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Peel Therapeutics, Inc., Salt Lake City, Utah
| | - C. Athena Aktipis
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
- School of Life Sciences, Arizona State University, Tempe, Arizona
| | - Lisa M. Abegglen
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Peel Therapeutics, Inc., Salt Lake City, Utah
| | - Carlo C. Maley
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
- School of Life Sciences, Arizona State University, Tempe, Arizona
- Biodesign Center for Biocomputing, Security and Society, Arizona State University, Tempe, Arizona
| | - Amy M. Boddy
- Arizona Cancer Evolution Center, The Biodesign Institute, Arizona State University, Tempe, Arizona
- University of California Santa Barbara, Santa Barbara, California
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11
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Yang Y, Lu X, Liu N, Ma S, Zhang H, Zhang Z, Yang K, Jiang M, Zheng Z, Qiao Y, Hu Q, Huang Y, Zhang Y, Xiong M, Liu L, Jiang X, Reddy P, Dong X, Xu F, Wang Q, Zhao Q, Lei J, Sun S, Jing Y, Li J, Cai Y, Fan Y, Yan K, Jing Y, Haghani A, Xing M, Zhang X, Zhu G, Song W, Horvath S, Rodriguez Esteban C, Song M, Wang S, Zhao G, Li W, Izpisua Belmonte JC, Qu J, Zhang W, Liu GH. Metformin decelerates aging clock in male monkeys. Cell 2024; 187:6358-6378.e29. [PMID: 39270656 DOI: 10.1016/j.cell.2024.08.021] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 07/10/2024] [Accepted: 08/12/2024] [Indexed: 09/15/2024]
Abstract
In a rigorous 40-month study, we evaluated the geroprotective effects of metformin on adult male cynomolgus monkeys, addressing a gap in primate aging research. The study encompassed a comprehensive suite of physiological, imaging, histological, and molecular evaluations, substantiating metformin's influence on delaying age-related phenotypes at the organismal level. Specifically, we leveraged pan-tissue transcriptomics, DNA methylomics, plasma proteomics, and metabolomics to develop innovative monkey aging clocks and applied these to gauge metformin's effects on aging. The results highlighted a significant slowing of aging indicators, notably a roughly 6-year regression in brain aging. Metformin exerts a substantial neuroprotective effect, preserving brain structure and enhancing cognitive ability. The geroprotective effects on primate neurons were partially mediated by the activation of Nrf2, a transcription factor with anti-oxidative capabilities. Our research pioneers the systemic reduction of multi-dimensional biological age in primates through metformin, paving the way for advancing pharmaceutical strategies against human aging.
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Affiliation(s)
- Yuanhan Yang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyong Lu
- China National Center for Bioinformation, Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ning Liu
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Ma
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Zhang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Zhiyi Zhang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Kuan Yang
- China National Center for Bioinformation, Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mengmeng Jiang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
| | - Zikai Zheng
- China National Center for Bioinformation, Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yicheng Qiao
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qinchao Hu
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-Sen University, Guangzhou 510060, China
| | - Ying Huang
- Chongqing Fifth People's Hospital, Chongqing 400060, China
| | - Yiyuan Zhang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
| | - Muzhao Xiong
- China National Center for Bioinformation, Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lixiao Liu
- China National Center for Bioinformation, Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyu Jiang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Pradeep Reddy
- Altos Labs San Diego Institute of Science, San Diego, CA, USA
| | - Xueda Dong
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fanshu Xu
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qiaoran Wang
- China National Center for Bioinformation, Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qian Zhao
- National Clinical Research Center for Geriatric Disorders, Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital Capital Medical University, Beijing 100053, China
| | - Jinghui Lei
- National Clinical Research Center for Geriatric Disorders, Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital Capital Medical University, Beijing 100053, China
| | - Shuhui Sun
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Ying Jing
- National Clinical Research Center for Geriatric Disorders, Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital Capital Medical University, Beijing 100053, China
| | - Jingyi Li
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; Aging Biomarker Consortium (ABC), Beijing 100101, China
| | - Yusheng Cai
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
| | - Yanling Fan
- China National Center for Bioinformation, Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Kaowen Yan
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
| | - Yaobin Jing
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; International Center for Aging and Cancer, Hainan Medical University, Haikou 571199, China
| | - Amin Haghani
- Altos Labs San Diego Institute of Science, San Diego, CA, USA
| | - Mengen Xing
- Oujiang Laboratory, Center for Geriatric Medicine and Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research for Mental Disorders, The First-Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Xuan Zhang
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Clinical Immunology Center, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Guodong Zhu
- Institute of Gerontology, Guangzhou Geriatric Hospital, Guangzhou Medical University, Guangzhou, China
| | - Weihong Song
- Oujiang Laboratory, Center for Geriatric Medicine and Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research for Mental Disorders, The First-Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Steve Horvath
- Altos Labs San Diego Institute of Science, San Diego, CA, USA
| | | | - Moshi Song
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Si Wang
- National Clinical Research Center for Geriatric Disorders, Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital Capital Medical University, Beijing 100053, China; Aging Biomarker Consortium (ABC), Beijing 100101, China
| | - Guoguang Zhao
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing 100053, China; National Medical Center for Neurological Diseases, Beijing 100053, China; Beijing Municipal Geriatric Medical Research Center, Beijing 100053, China
| | - Wei Li
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | | | - Jing Qu
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China; Aging Biomarker Consortium (ABC), Beijing 100101, China.
| | - Weiqi Zhang
- China National Center for Bioinformation, Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Aging Biomarker Consortium (ABC), Beijing 100101, China.
| | - Guang-Hui Liu
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Membrane Biology, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, CAS, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; National Clinical Research Center for Geriatric Disorders, Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital Capital Medical University, Beijing 100053, China; University of Chinese Academy of Sciences, Beijing 100049, China; Aging Biomarker Consortium (ABC), Beijing 100101, China.
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12
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Budd AM, Yong SY, Heydenrych MJ, Mayne B, Berry O, Jarman S. Universal prediction of vertebrate species age at maturity. Commun Biol 2024; 7:1414. [PMID: 39478142 PMCID: PMC11526025 DOI: 10.1038/s42003-024-07046-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 10/10/2024] [Indexed: 11/02/2024] Open
Abstract
Animal age at maturity can be used as a universal and simple predictor of species extinction risk. At present, methods to estimate age at maturity are typically species-specific, limiting comparisons among species, or are infeasible due to practical constraints. To overcome this, here we develop a universal predictor of species-level age at maturity for vertebrates. We show that modelling the frequency of 'CG' sequences (CpG sites) in gene promoter regions yields rapid predictions of vertebrate age at maturity. Our models predict age at maturity with remarkable accuracy and generalisability, with median error rates of 30% (less than 1 year) and are robust to genome assemblies of varying quality. We generate predictions for 1912 vertebrate species for which age at maturity estimates were previously absent from public databases. The predictions can be used to help to inform management decisions for the many species for which more detailed population information is currently unavailable.
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Affiliation(s)
- Alyssa M Budd
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia.
| | - Suk Yee Yong
- CSIRO Information Management & Technology (IM&T) Scientific Computing, Eveleigh, NSW, Australia
| | - Matthew J Heydenrych
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia
- School of Biological Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Benjamin Mayne
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia
| | - Oliver Berry
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia
| | - Simon Jarman
- Environomics Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Crawley, WA, Australia
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
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13
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Lyubetsky VA, Shilovsky GA, Yang JR, Seliverstov AV, Zverkov OA. The Change Rate of the Fbxl21 Gene and the Amino Acid Composition of Its Protein Correlate with the Species-Specific Lifespan in Placental Mammals. BIOLOGY 2024; 13:792. [PMID: 39452101 PMCID: PMC11505486 DOI: 10.3390/biology13100792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Revised: 09/24/2024] [Accepted: 09/28/2024] [Indexed: 10/26/2024]
Abstract
This article proposes a methodology for establishing a relationship between the change rate of a given gene (relative to a given taxon) together with the amino acid composition of the proteins encoded by this gene and the traits of the species containing this gene. The methodology is illustrated based on the mammalian genes responsible for regulating the circadian rhythms that underlie a number of human disorders, particularly those associated with aging. The methods used are statistical and bioinformatic ones. A systematic search for orthologues, pseudogenes, and gene losses was performed using our previously developed methods. It is demonstrated that the least conserved Fbxl21 gene in the Euarchontoglires superorder exhibits a statistically significant connection of genomic characteristics (the median of dN/dS for a gene relative to all the other orthologous genes of a taxon, as well as the preference or avoidance of certain amino acids in its protein) with species-specific lifespan and body weight. In contrast, no such connection is observed for Fbxl21 in the Laurasiatheria superorder. This study goes beyond the protein-coding genes, since the accumulation of amino acid substitutions in the course of evolution leads to pseudogenization and even gene loss, although the relationship between the genomic characteristics and the species traits is still preserved. The proposed methodology is illustrated using the examples of circadian rhythm genes and proteins in placental mammals, e.g., longevity is connected with the rate of Fbxl21 gene change, pseudogenization or gene loss, and specific amino acid substitutions (e.g., asparagine at the 19th position of the CRY-binding domain) in the protein encoded by this gene.
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Affiliation(s)
- Vassily A. Lyubetsky
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), 127051 Moscow, Russia; (V.A.L.); (G.A.S.); (A.V.S.)
| | - Gregory A. Shilovsky
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), 127051 Moscow, Russia; (V.A.L.); (G.A.S.); (A.V.S.)
| | - Jian-Rong Yang
- Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
- Key Laboratory of Tropical Disease Control, Sun Yat-sen University, Ministry of Education, Guangzhou 510080, China
| | - Alexandr V. Seliverstov
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), 127051 Moscow, Russia; (V.A.L.); (G.A.S.); (A.V.S.)
| | - Oleg A. Zverkov
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), 127051 Moscow, Russia; (V.A.L.); (G.A.S.); (A.V.S.)
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14
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Kapsetaki SE, Compton ZT, Mellon W, Vincze O, Giraudeau M, Harrison TM, Abegglen LM, Boddy AM, Maley CC, Schiffman JD. Germline mutation rate predicts cancer mortality across 37 vertebrate species. Evol Med Public Health 2024; 12:122-128. [PMID: 39233763 PMCID: PMC11372239 DOI: 10.1093/emph/eoae016] [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: 10/03/2023] [Revised: 08/05/2024] [Indexed: 09/06/2024] Open
Abstract
Background and objectives Cancer develops across nearly every species. However, cancer occurs at unexpected and widely different rates throughout the animal kingdom. The reason for this variation in cancer susceptibility remains an area of intense investigation. Cancer evolves in part through the accumulation of mutations, and therefore, we hypothesized that germline mutation rates would be associated with cancer prevalence and mortality across species. Methodology We collected previously published data on germline mutation rate and cancer mortality data for 37 vertebrate species. Results Germline mutation rate was positively correlated with cancer mortality (P-value = 0.0008; R2 = 0.13). Controlling for species' average parental age, maximum longevity, adult body mass or domestication did not improve the model fit (the change (Δ) in Akaike Information Criterion (AIC) was less than 2). However, this model fit was better than a model controlling for species trophic level (ΔAIC > 2). Conclusions and implications The increased death rate from cancer in animals with increased germline mutation rates may suggest underlying hereditary cancer predisposition syndromes similar to those diagnosed in human patients. Species with higher germline mutation rates may benefit from close monitoring for tumors due to increased genetic risk for cancer development. Early diagnoses of cancer in these species may increase their chances of overall survival, especially for threatened and endangered species.
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Affiliation(s)
- Stefania E Kapsetaki
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
- Department of Biology, School of Arts and Sciences, Tufts University, Medford, MA, USA
| | - Zachary T Compton
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- University of Arizona Cancer Center, Tucson, AZ, USA
- University of Arizona College of Medicine, Tucson, AZ, USA
| | - Walker Mellon
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
| | - Orsolya Vincze
- Evolutionary Ecology Group, Hungarian Department of Biology and Ecology, Babeș-Bolyai University, Cluj-Napoca, Romania
- Institute of Aquatic Ecology, Centre for Ecological Research, Debrecen, Hungary
| | - Mathieu Giraudeau
- Littoral Environnement Et Sociétés (LIENSs), UMR7266, CNRS Université de La Rochelle, 2 rue Olympe de Gouges, 17042 La Rochelle Cedex, France
| | - Tara M Harrison
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC 27607, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC 27607, USA
| | - Lisa M Abegglen
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC 27607, USA
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Peel Therapeutics, Inc., Salt Lake City, UT, USA
| | - Amy M Boddy
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC 27607, USA
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Carlo C Maley
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Joshua D Schiffman
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Peel Therapeutics, Inc., Salt Lake City, UT, USA
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15
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Smith BH. Mammalian Life History: Weaning and Tooth Emergence in a Seasonal World. BIOLOGY 2024; 13:612. [PMID: 39194550 DOI: 10.3390/biology13080612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 08/06/2024] [Accepted: 08/08/2024] [Indexed: 08/29/2024]
Abstract
The young of toothed mammals must have teeth to reach feeding independence. How tooth eruption integrates with gestation, birth and weaning is examined in a life-history perspective for 71 species of placental mammals. Questions developed from high-quality primate data are then addressed in the total sample. Rather than correlation, comparisons focus on equivalence, sequence, the relation to absolutes (six months, one year), the distribution of error and adaptive extremes. These mammals differ widely at birth, from no teeth to all deciduous teeth emerging, but commonalities appear when infants transit to independent feeding. Weaning follows completion of the deciduous dentition, closest in time to emergence of the first permanent molars and well before second molars emerge. Another layer of meaning appears when developmental age is counted from conception because the total time to produce young feeding independently comes up against seasonal boundaries that are costly to cross for reproductive fitness. Mammals of a vast range of sizes and taxa, from squirrel monkey to moose, hold conception-to-first molars in just under one year. Integrating tooth emergence into life history gives insight into living mammals and builds a framework for interpreting the fossil record.
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Affiliation(s)
- B Holly Smith
- Museum of Anthropological Archaeology, University of Michigan, Ann Arbor, MI 48109, USA
- Center for the Advanced Study of Human Paleobiology, George Washington University, Washington, DC 20052, USA
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16
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Szarka EZ, Lendvai ÁZ. Trophic guilds differ in blood glucose concentrations: a phylogenetic comparative analysis in birds. Proc Biol Sci 2024; 291:20232655. [PMID: 39106953 PMCID: PMC11303027 DOI: 10.1098/rspb.2023.2655] [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: 11/23/2023] [Accepted: 05/24/2024] [Indexed: 08/09/2024] Open
Abstract
Glucose is a central metabolic compound used as an energy source across all animal taxa. There is high interspecific variation in glucose concentration between taxa, the origin and the consequence of which remain largely unknown. Nutrition may affect glucose concentrations because carbohydrate content of different food sources may determine the importance of metabolic pathways in the organism. Birds sustain high glucose concentrations that may entail the risks of oxidative damage. We collected glucose concentration and life-history data from 202 bird species from 171 scientific publications, classified them into seven trophic guilds and analysed the data with a phylogenetically controlled model. We show that glucose concentration is negatively associated with body weight and is significantly associated with trophic guilds with a moderate phylogenetic signal. After controlling for allometry, glucose concentrations were highest in carnivorous birds, which rely on high rates of gluconeogenesis to maintain their glycaemia, and lowest in frugivorous/nectarivorous species, which take in carbohydrates directly. However, trophic guilds with different glucose concentrations did not differ in lifespan. These results link nutritional ecology to physiology and suggest that at the macroevolutionary scale, species requiring constantly elevated glucose concentrations may have additional adaptations to avoid the risks associated with high glycaemia.
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Affiliation(s)
- Endre Z. Szarka
- Department of Evolutionary Zoology and Human Biology, University of Debrecen, Debrecen, Hungary
- Juhász-Nagy Pál Doctoral School of Biology and Environmental Sciences, Debrecen, Hungary
| | - Ádám Z. Lendvai
- Department of Evolutionary Zoology and Human Biology, University of Debrecen, Debrecen, Hungary
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17
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Koçillari L, Cattelan S, Rasotto MB, Seno F, Maritan A, Pilastro A. Tetrapod sperm length evolution in relation to body mass is shaped by multiple trade-offs. Nat Commun 2024; 15:6160. [PMID: 39039080 PMCID: PMC11263692 DOI: 10.1038/s41467-024-50391-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 07/04/2024] [Indexed: 07/24/2024] Open
Abstract
Sperm length is highly variable across species and many questions about its variation remain open. Although variation in body mass may affect sperm length evolution through its influence on multiple factors, the extent to which sperm length variation is linked to body mass remains elusive. Here, we use the Pareto multi-task evolution framework to investigate the relationship between sperm length and body mass across tetrapods. We find that tetrapods occupy a triangular Pareto front, indicating that trade-offs shape the evolution of sperm length in relation to body mass. By exploring the factors predicted to influence sperm length evolution, we find that sperm length evolution is mainly driven by sperm competition and clutch size, rather than by genome size. Moreover, the triangular Pareto front is maintained within endotherms, internal fertilizers, mammals and birds, suggesting similar evolutionary trade-offs within tetrapods. Finally, we demonstrate that the Pareto front is robust to phylogenetic dependencies and finite sampling bias. Our findings provide insights into the evolutionary mechanisms driving interspecific sperm length variation and highlight the importance of considering multiple trade-offs in optimizing reproductive traits.
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Affiliation(s)
- Loren Koçillari
- Istituto Italiano di Tecnologia, 38068, Rovereto, Italy
- Department of Physics and Astronomy, Section INFN, University of Padova, 35131, Padova, Italy
- Institute for Neural Information Processing, Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), D-20251, Hamburg, Germany
| | - Silvia Cattelan
- Department of Biology, University of Padova, 35121, Padova, Italy.
- Fritz Lipmann Institute-Leibniz Institute on Aging, 07745, Jena, Germany.
| | | | - Flavio Seno
- Department of Physics and Astronomy, Section INFN, University of Padova, 35131, Padova, Italy
| | - Amos Maritan
- Department of Physics and Astronomy, Section INFN, University of Padova, 35131, Padova, Italy
- National Biodiversity Future Center, 90133, Palermo, Italy
| | - Andrea Pilastro
- Department of Biology, University of Padova, 35121, Padova, Italy
- National Biodiversity Future Center, 90133, Palermo, Italy
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18
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Estrada-Peña A, Sprong H, Wijburg SR. A crucial nexus: Phylogenetic versus ecological support of the life-cycle of Ixodes ricinus (Ixodoidea: Ixodidae) and Borrelia spp. amplification. CURRENT RESEARCH IN PARASITOLOGY & VECTOR-BORNE DISEASES 2024; 6:100198. [PMID: 39081593 PMCID: PMC11286992 DOI: 10.1016/j.crpvbd.2024.100198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/25/2024] [Accepted: 06/29/2024] [Indexed: 08/02/2024]
Abstract
The tick Ixodes ricinus parasitizes a wide range of vertebrates. These hosts vary in the relative contribution to the feeding of the different tick life stages, and their interplay is pivotal in the transmission dynamics of tick-borne pathogens. We aimed to know if there is a phylogenetic signal in the feeding and propagation hosts of I. ricinus, independently of other traits, as well as in the amplification of Borrelia burgdorferi (s.l.) in feeding larvae. We used a compilation of 1127 published field surveys in Europe, providing data for 96,586 hosts, resulting in 265,124 larvae, 72,080 nymphs and 37,726 adults. The load of immature ticks on hosts showed a significant phylogenetic signal towards the genera Psammodromus, Podarcis, and Lacerta (nymphs only). We hypothesize that such signal is the background hallmark of the primitive hosts associations of I. ricinus, probably in the glaciation refugia. A secondary phylogenetic signal for tick immatures appeared for some genera of Rodentia and Eulipotyphla. Results suggest the notion that the tick gained these hosts after spread from glaciation refugia. Analyses support a phylogenetic signal in the tick adults, firmly linked to Cetartiodactyla, but not to Carnivora or Aves. This study provides the first demonstration of host preferences in the generalist tick I. ricinus. We further demonstrate that combinations of vertebrates contribute in different proportions supporting the tick life-cycle in biogeographical regions of the Western Palaearctic as each region has unique combinations of dominant hosts. Analysis of the amplification of B. burgdorferi (s.l.) demonstrated that each genospecies is better amplified by competent reservoirs with which a strong phylogenetic signal exists. These vertebrates are the same along the spatial range: environmental traits do not change the reservoirs along the large territory studied. The transmission of B. burgdorferi (s.l.) is amplified by a few species of vertebrates, that share biogeographical regions with the tick vector in variable proportions.
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Affiliation(s)
- Agustin Estrada-Peña
- Department of Animal Health, University of Zaragoza, Spain
- Instituto Agroalimentario de Aragón, IA2, 50013-Zaragoza, Spain
- Ministry of Human Health, Madrid, Spain
| | - Hein Sprong
- Centre for Infectious Diseases, National Institute for Public Health and the Environment, 3720 BA Bilthoven, the Netherlands
| | - Sara R. Wijburg
- Centre for Infectious Diseases, National Institute for Public Health and the Environment, 3720 BA Bilthoven, the Netherlands
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19
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Kapsetaki SE, Compton ZT, Dolan J, Harris VΚ, Mellon W, Rupp SM, Duke EG, Harrison TM, Aksoy S, Giraudeau M, Vincze O, McGraw KJ, Aktipis A, Tollis M, Boddy AΜ, Maley CC. Life history traits and cancer prevalence in birds. Evol Med Public Health 2024; 12:105-116. [PMID: 39099847 PMCID: PMC11297545 DOI: 10.1093/emph/eoae011] [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: 01/27/2024] [Revised: 06/02/2024] [Indexed: 08/06/2024] Open
Abstract
Background and objectives Cancer is a disease that affects nearly all multicellular life, including the broad and diverse taxa of Aves. While little is known about the factors that contribute to cancer risk across Aves, life history trade-offs may explain some of this variability in cancer prevalence. We predict birds with high investment in reproduction may have a higher likelihood of developing cancer. In this study, we tested whether life history traits are associated with cancer prevalence in 108 species of birds. Methodology We obtained life history data from published databases and cancer data from 5,729 necropsies from 108 species of birds across 24 taxonomic orders from 25 different zoological facilities. We performed phylogenetically controlled regression analyses between adult body mass, lifespan, incubation length, clutch size, sexually dimorphic traits, and both neoplasia and malignancy prevalence. We also compared the neoplasia and malignancy prevalence of female and male birds. Results Providing support for a life history trade-off between somatic maintenance and reproduction, we found a positive relationship between clutch size and cancer prevalence across Aves. There was no significant association with body mass, lifespan, incubation length, sexual dimorphism, and cancer. Conclusions and implications Life history theory presents an important framework for understanding differences in cancer defenses across various species. These results suggest a trade-off between reproduction and somatic maintenance, where Aves with small clutch sizes get less cancer.
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Affiliation(s)
- Stefania E Kapsetaki
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Tufts University, School of Arts and Sciences, Department of Biology, 200 Boston Avenue, Suite 4600, Medford, MA, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Zachary T Compton
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- University of Arizona Cancer Center, Tucson, AZ, USA
- University of Arizona College of Medicine, Tucson, AZ, USA
| | - Jordyn Dolan
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Valerie Κ Harris
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Walker Mellon
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
| | - Shawn M Rupp
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Elizabeth G Duke
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, 27607, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC, 27607, USA
| | - Tara M Harrison
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, 27607, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC, 27607, USA
| | - Selin Aksoy
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Mathieu Giraudeau
- Littoral Environnement Et Sociétés (LIENSs), UMR7266, CNRS Université de La Rochelle, 2 rue Olympe de Gouges, 17042, La Rochelle Cedex, France
| | - Orsolya Vincze
- Evolutionary Ecology Group, Hungarian Department of Biology and Ecology, Babeș-Bolyai University, Cluj-Napoca, Romania
- Institute of Aquatic Ecology, Centre for Ecological Research, Debrecen, Hungary
| | - Kevin J McGraw
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Athena Aktipis
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Marc Tollis
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, PO Box 5693, Flagstaff, AZ 8601, USA
| | - Amy Μ Boddy
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC, 27607, USA
- Department of Anthropology, University of California Santa Barbara, CA, USA
| | - Carlo C Maley
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
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20
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Zipple MN, Reeve HK, Peniston OJ. Maternal care leads to the evolution of long, slow lives. Proc Natl Acad Sci U S A 2024; 121:e2403491121. [PMID: 38875146 PMCID: PMC11194579 DOI: 10.1073/pnas.2403491121] [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: 02/19/2024] [Accepted: 05/06/2024] [Indexed: 06/16/2024] Open
Abstract
Animals, and mammals in particular, vary widely in their "pace of life," with some species living long lives and reproducing infrequently (slow life histories) and others living short lives and reproducing often (fast life histories). These species also vary in the importance of maternal care in offspring fitness: In some species, offspring are fully independent of their mothers following a brief period of nutritional input, while others display a long period of continued dependence on mothers well after nutritional dependence. Here, we hypothesize that these two axes of variation are causally related to each other, such that extended dependence of offspring on maternal presence leads to the evolution of longer lives at the expense of reproduction. We use a combination of deterministic modeling and stochastic agent-based modeling to explore how empirically observed links between maternal survival and offspring fitness are likely to shape the evolution of mortality and fertility. Each of our modeling approaches leads to the same conclusion: When maternal survival has a strong impact on the survival of offspring and grandoffspring, populations evolve longer lives with less frequent reproduction. Our results suggest that the slow life histories of humans and other primates as well as other long-lived, highly social animals such as hyenas, whales, and elephants are partially the result of the strong maternal care that these animals display. We have designed our models to be readily parameterized with demographic data that are routinely collected by long-term researchers, which will facilitate more thorough testing of our hypothesis.
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Affiliation(s)
- Matthew N. Zipple
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY14853
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY14853
| | - H. Kern Reeve
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY14853
| | - Orca Jimmy Peniston
- Department of Biology, Kenai Peninsula College, University of Alaska Anchorage, Soldotna, AK99669
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21
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Hou C. Energetic cost of biosynthesis is a missing link between growth and longevity in mammals. Proc Natl Acad Sci U S A 2024; 121:e2315921121. [PMID: 38709928 PMCID: PMC11098097 DOI: 10.1073/pnas.2315921121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 03/19/2024] [Indexed: 05/08/2024] Open
Abstract
The comparative studies of aging have established a negative correlation between Gompertz postnatal growth constant and maximum lifespan across mammalian species, but the underlying physiological mechanism remains unclear. This study shows that the Gompertz growth constant can be decomposed into two energetic components, mass-specific metabolic rate and the energetic cost of biosynthesis, and that after controlling the former as a confounder, the negative correlation between growth constant and lifespan still exists due to a 100-fold variation in the latter, revealing that the energetic cost of biosynthesis is a link between growth and longevity in mammals. Previously, the energetic cost of biosynthesis has been thought to be a constant across species and therefore was not considered a contributor to the variation in any life history traits, such as growth and lifespan. This study employs a recently proposed model based on energy conservation to explain the physiological effect of the variation in this energetic cost on the aging process and illustrates its role in linking growth and lifespan. The conventional life history theory suggested a tradeoff between growth and somatic maintenance, but the findings in this study suggest that allocating more energy to biosynthesis may enhance the somatic maintenance and extend lifespan and, hence, reveal a more complex nature of the tradeoff.
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Affiliation(s)
- Chen Hou
- Biology Department, College of Arts, Sciences, and Education, Missouri University of Science and Technology, Rolla, MO65401
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22
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Constant T, Dobson FS, Habold C, Giroud S. Evolutionary trade-offs in dormancy phenology. eLife 2024; 12:RP89644. [PMID: 38669069 PMCID: PMC11052570 DOI: 10.7554/elife.89644] [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] [Indexed: 04/28/2024] Open
Abstract
Seasonal animal dormancy is widely interpreted as a physiological response for surviving energetic challenges during the harshest times of the year (the physiological constraint hypothesis). However, there are other mutually non-exclusive hypotheses to explain the timing of animal dormancy, that is, entry into and emergence from hibernation (i.e. dormancy phenology). Survival advantages of dormancy that have been proposed are reduced risks of predation and competition (the 'life-history' hypothesis), but comparative tests across animal species are few. Using the phylogenetic comparative method applied to more than 20 hibernating mammalian species, we found support for both hypotheses as explanations for the phenology of dormancy. In accordance with the life-history hypotheses, sex differences in hibernation emergence and immergence were favored by the sex difference in reproductive effort. In addition, physiological constraint may influence the trade-off between survival and reproduction such that low temperatures and precipitation, as well as smaller body mass, influence sex differences in phenology. We also compiled initial evidence that ectotherm dormancy may be (1) less temperature dependent than previously thought and (2) associated with trade-offs consistent with the life-history hypothesis. Thus, dormancy during non-life-threatening periods that are unfavorable for reproduction may be more widespread than previously thought.
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Affiliation(s)
- Théo Constant
- UMR 7178, Centre National de la Recherche Scientifique, Institut Pluridisciplinaire Hubert CURIEN, Université de StrasbourgStrasbourgFrance
| | - F Stephen Dobson
- UMR 7178, Centre National de la Recherche Scientifique, Institut Pluridisciplinaire Hubert CURIEN, Université de StrasbourgStrasbourgFrance
- Department of Biological Sciences, Auburn UniversityAuburnUnited States
| | - Caroline Habold
- UMR 7178, Centre National de la Recherche Scientifique, Institut Pluridisciplinaire Hubert CURIEN, Université de StrasbourgStrasbourgFrance
| | - Sylvain Giroud
- Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology, University of Veterinary Medicine ViennaViennaAustria
- Energetic Lab, Department of Biology, Northern Michigan UniversityMarquetteUnited States
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23
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Torralba Sáez M, Hofreiter M, Straube N. Shark genome size evolution and its relationship with cellular, life-history, ecological, and diversity traits. Sci Rep 2024; 14:8909. [PMID: 38632352 PMCID: PMC11024215 DOI: 10.1038/s41598-024-59202-4] [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: 11/24/2023] [Accepted: 04/08/2024] [Indexed: 04/19/2024] Open
Abstract
Among vertebrates, sharks exhibit both large and heterogeneous genome sizes ranging from 2.86 to 17.05 pg. Aiming for a better understanding of the patterns and causalities of shark genome size evolution, we applied phylogenetic comparative methods to published genome-size estimates for 71 species representing the main phylogenetic lineages, life-histories and ecological traits. The sixfold range of genome size variation was strongly traceable throughout the phylogeny, with a major expansion preceding shark diversification during the late Paleozoic and an ancestral state (6.33 pg) close to the present-day average (6.72 pg). Subsequent deviations from this average occurred at higher rates in squalomorph than in galeomorph sharks and were unconnected to evolutionary changes in the karyotype architecture, which were dominated by descending disploidy events. Genome size was positively correlated with cell and nucleus sizes and negatively with metabolic rate. The metabolic constraints on increasing genome size also manifested at higher phenotypic scales, with large genomes associated with slow lifestyles and purely marine waters. Moreover, large genome sizes were also linked to non-placental reproductive modes, which may entail metabolically less demanding embryological developments. Contrary to ray-finned fishes, large genome size was associated neither with the taxonomic diversity of affected clades nor with low genetic diversity.
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Affiliation(s)
- Mario Torralba Sáez
- Ichthyology Section, Bavarian State Collection of Zoology (SNSB-ZSM), 81247, Munich, Germany
- Systematic Zoology, Department Biology II, Faculty of Biology, Ludwig Maximilian University of Munich (LMU), 82152, Munich, Germany
| | - Michael Hofreiter
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, University of Potsdam, 14476, Potsdam, Germany
| | - Nicolas Straube
- Department of Natural History, University Museum Bergen, University of Bergen (UiB), 5007, Bergen, Norway.
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24
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Castaño-González K, Köppl C, Pyott SJ. The crucial role of diverse animal models to investigate cochlear aging and hearing loss. Hear Res 2024; 445:108989. [PMID: 38518394 DOI: 10.1016/j.heares.2024.108989] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/18/2024] [Accepted: 03/04/2024] [Indexed: 03/24/2024]
Abstract
Age-related hearing loss affects a large and growing segment of the population, with profound impacts on quality of life. Age-related pathology of the cochlea-the mammalian hearing organ-underlies age-related hearing loss. Because investigating age-related changes in the cochlea in humans is challenging and often impossible, animal models are indispensable to investigate these mechanisms as well as the complex consequences of age-related hearing loss on the brain and behavior. In this review, we advocate for a comparative and interdisciplinary approach while also addressing the challenges of comparing age-related hearing loss across species with varying lifespans. We describe the experimental advantages and limitations as well as areas for future research in well-established models of age-related hearing loss, including mice, rats, gerbils, chinchillas, and birds. We also indicate the need to expand characterization of age-related hearing loss in other established animal models, especially guinea pigs, cats, and non-human primates, in which auditory function is well characterized but age-related cochlear pathology is understudied. Finally, we highlight the potential of emerging animal models for advancing our understanding of age-related hearing loss, including deer mice, with their notably extended lifespans and preserved hearing, naked mole rats, with their exceptional longevity and extensive vocal communications, as well as zebrafish, which offer genetic tractability and suitability for drug screening. Ultimately, a comparative and interdisciplinary approach in auditory research, combining insights from various animal models with human studies, is key to robust and reliable research outcomes that better advance our understanding and treatment of age-related hearing loss.
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Affiliation(s)
- Karen Castaño-González
- Department of Otorhinolaryngology, Head & Neck Surgery, University Medical Center Groningen; The Research School of Behavioural and Cognitive Neurosciences, University of Groningen, Groningen, The Netherlands
| | - Christine Köppl
- Cluster of Excellence "Hearing4All", Department of Neuroscience, School of Medicine and Health Sciences, Carl von Ossietzky Universität; Research Center Neurosensory Science, Carl von Ossietzky Universität, Oldenburg, Germany
| | - Sonja J Pyott
- Department of Otorhinolaryngology, Head & Neck Surgery, University Medical Center Groningen; The Research School of Behavioural and Cognitive Neurosciences, University of Groningen, Groningen, The Netherlands.
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25
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Perillo M, Silla A, Punzo A, Caliceti C, Kriete A, Sell C, Lorenzini A. Peto's paradox: Nature has used multiple strategies to keep cancer at bay while evolving long lifespans and large body masses. A systematic review. Biomed J 2024; 47:100654. [PMID: 37604250 PMCID: PMC10973980 DOI: 10.1016/j.bj.2023.100654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/23/2023] Open
Abstract
Comparative oncology is an understudied field of science. We are far from understanding the key mechanisms behind Peto's paradox, i.e., understanding how long-lived and large animals are not subject to a higher cancer burden despite the longer exposure time to mutations and the larger number of cells exposed. In this work, we investigated the scientific evidence on such mechanisms through a systematic mini-review of the literature about the relation of longevity and/or large body mass with physiological, genetic, or environmental traits among mammalian species. More than forty thousand articles were retrieved from three repositories, and 383 of them were screened using an active-learning-based tool. Of those, 36 articles on longevity and 37 on body mass were selected for the review. Such articles were examined focusing on: number and type of species considered, statistical methods used, traits investigated, and observed relationship with longevity and/or body mass. Where applicable, the traits investigated were matched with one or more hallmarks of cancer. We obtained a list of potential candidate traits to explain Peto's paradox related to replicative immortality, cell senescence, genome instability and mutations, proliferative signaling, growth suppression evasion, and cell resistance to death. Our investigation suggests that different strategies have been followed to prevent cancer in large and long-lived species. The large number of papers retrieved emphasizes that more studies can be launched in the future, using more efficient analytical approaches to comprehensively evaluate the convergent biological mechanisms essential for acquiring longevity and large body mass without increasing cancer risk.
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Affiliation(s)
- Matteo Perillo
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy.
| | - Alessia Silla
- Department for Life Quality Studies, University of Bologna, Italy
| | - Angela Punzo
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy; National Institute of Biosystems and Biostructures INBB, Rome, Italy
| | - Cristiana Caliceti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy; National Institute of Biosystems and Biostructures INBB, Rome, Italy
| | - Andres Kriete
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA
| | - Christian Sell
- Department of Biochemistry & Molecular Biology, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Antonello Lorenzini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy; National Institute of Biosystems and Biostructures INBB, Rome, Italy
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26
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Smallegange IM, Lucas S. DEBBIES Dataset to study Life Histories across Ectotherms. Sci Data 2024; 11:153. [PMID: 38302570 PMCID: PMC10834990 DOI: 10.1038/s41597-024-02986-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/17/2024] [Indexed: 02/03/2024] Open
Abstract
Demographic models are used to explore how life history traits structure life history strategies across species. This study presents the DEBBIES dataset that contains estimates of eight life history traits (length at birth, puberty and maximum length, maximum reproduction rate, fraction energy allocated to respiration versus reproduction, von Bertalanffy growth rate, mortality rates) for 185 ectotherm species. The dataset can be used to parameterise dynamic energy budget integral projection models (DEB-IPMs) to calculate key demographic quantities like population growth rate and demographic resilience, but also link to conservation status or biogeographical characteristics. Our technical validation shows a satisfactory agreement between observed and predicted longevity, generation time, age at maturity across all species. Compared to existing datasets, DEBBIES accommodates (i) easy cross-taxonomical comparisons, (ii) many data-deficient species, and (iii) population forecasts to novel conditions because DEB-IPMs include a mechanistic description of the trade-off between growth and reproduction. This dataset has the potential for biologists to unlock general predictions on ectotherm population responses from only a few key life history traits.
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Affiliation(s)
- Isabel M Smallegange
- School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
| | - Sol Lucas
- School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
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27
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Pepke ML. Telomere length is not a useful tool for chronological age estimation in animals. Bioessays 2024; 46:e2300187. [PMID: 38047504 DOI: 10.1002/bies.202300187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/16/2023] [Accepted: 11/20/2023] [Indexed: 12/05/2023]
Abstract
Telomeres are short repetitive DNA sequences capping the ends of chromosomes. Telomere shortening occurs during cell division and may be accelerated by oxidative damage or ameliorated by telomere maintenance mechanisms. Consequently, telomere length changes with age, which was recently confirmed in a large meta-analysis across vertebrates. However, based on the correlation between telomere length and age, it was concluded that telomere length can be used as a tool for chronological age estimation in animals. Correlation should not be confused with predictability, and the current data and studies suggest that telomeres cannot be used to reliably predict individual chronological age. There are biological reasons for why there is large individual variation in telomere dynamics, which is mainly due to high susceptibility to a wide range of environmental, but also genetic factors, rendering telomeres unfeasible as a tool for age estimation. The use of telomeres for chronological age estimation is largely a misguided effort, but its occasional reappearance in the literature raises concerns that it will mislead resources in wildlife conservation.
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Affiliation(s)
- Michael L Pepke
- Center for Evolutionary Hologenomics, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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28
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Shilovsky GA, Putyatina TS, Markov AV. Evolution of Longevity in Tetrapods: Safety Is More Important than Metabolism Level. BIOCHEMISTRY. BIOKHIMIIA 2024; 89:322-340. [PMID: 38622099 DOI: 10.1134/s0006297924020111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 12/04/2023] [Accepted: 12/29/2023] [Indexed: 04/17/2024]
Abstract
Various environmental morphological and behavioral factors can determine the longevity of representatives of various taxa. Long-lived species develop systems aimed at increasing organism stability, defense, and, ultimately, lifespan. Long-lived species to a different extent manifest the factors favoring longevity (gerontological success), such as body size, slow metabolism, activity of body's repair and antioxidant defense systems, resistance to toxic substances and tumorigenesis, and presence of neotenic features. In continuation of our studies of mammals, we investigated the characteristics that distinguish long-lived ectotherms (crocodiles and turtles) and compared them with those of other ectotherms (squamates and amphibians) and endotherms (birds and mammals). We also discussed mathematical indicators used to assess the predisposition to longevity in different species, including standard indicators (mortality rate, maximum lifespan, coefficient of variation of lifespan) and their derivatives. Evolutionary patterns of aging are further explained by the protective phenotypes and life history strategies. We assessed the relationship between the lifespan and various studied factors, such as body size and temperature, encephalization, protection of occupied ecological niches, presence of protective structures (for example, shells and osteoderms), and environmental temperature, and the influence of these factors on the variation of the lifespan as a statistical parameter. Our studies did not confirm the hypothesis on the metabolism level and temperature as the most decisive factors of longevity. It was found that animals protected by shells (e.g., turtles with their exceptional longevity) live longer than species that have poison or lack such protective adaptations. The improvement of defense against external threats in long-lived ectotherms is consistent with the characteristics of long-lived endotherms (for example, naked mole-rats that live in underground tunnels, or bats and birds, whose ability to fly is one of the best defense mechanisms).
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Affiliation(s)
- Gregory A Shilovsky
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia.
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
- Institute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences, Moscow, 127051, Russia
| | - Tatyana S Putyatina
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
| | - Alexander V Markov
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
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de Magalhães JP, Abidi Z, dos Santos GA, Avelar RA, Barardo D, Chatsirisupachai K, Clark P, De-Souza EA, Johnson EJ, Lopes I, Novoa G, Senez L, Talay A, Thornton D, To P. Human Ageing Genomic Resources: updates on key databases in ageing research. Nucleic Acids Res 2024; 52:D900-D908. [PMID: 37933854 PMCID: PMC10767973 DOI: 10.1093/nar/gkad927] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/06/2023] [Accepted: 10/09/2023] [Indexed: 11/08/2023] Open
Abstract
Ageing is a complex and multifactorial process. For two decades, the Human Ageing Genomic Resources (HAGR) have aided researchers in the study of various aspects of ageing and its manipulation. Here, we present the key features and recent enhancements of these resources, focusing on its six main databases. One database, GenAge, focuses on genes related to ageing, featuring 307 genes linked to human ageing and 2205 genes associated with longevity and ageing in model organisms. AnAge focuses on ageing, longevity, and life-history across animal species, containing data on 4645 species. DrugAge includes information about 1097 longevity drugs and compounds in model organisms such as mice, rats, flies, worms and yeast. GenDR provides a list of 214 genes associated with the life-extending benefits of dietary restriction in model organisms. CellAge contains a catalogue of 866 genes associated with cellular senescence. The LongevityMap serves as a repository for genetic variants associated with human longevity, encompassing 3144 variants pertaining to 884 genes. Additionally, HAGR provides various tools as well as gene expression signatures of ageing, dietary restriction, and replicative senescence based on meta-analyses. Our databases are integrated, regularly updated, and manually curated by experts. HAGR is freely available online (https://genomics.senescence.info/).
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Affiliation(s)
- João Pedro de Magalhães
- Genomics of Ageing and Rejuvenation Lab, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2WB, UK
| | - Zoya Abidi
- Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool L7 8TX, UK
| | - Gabriel Arantes dos Santos
- Genomics of Ageing and Rejuvenation Lab, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2WB, UK
| | - Roberto A Avelar
- Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool L7 8TX, UK
| | - Diogo Barardo
- NOVOS Labs, 100 Park Avenue, 16th Fl, New York, NY 10017, USA
| | - Kasit Chatsirisupachai
- Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool L7 8TX, UK
| | - Peter Clark
- Genomics of Ageing and Rejuvenation Lab, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2WB, UK
| | - Evandro A De-Souza
- Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas 13083-970, SP, Brazil
| | - Emily J Johnson
- Computational Biology Facility, Liverpool Shared Research Facilities, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 7ZB, UK
| | - Inês Lopes
- Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool L7 8TX, UK
| | - Guy Novoa
- Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool L7 8TX, UK
| | - Ludovic Senez
- Genomics of Ageing and Rejuvenation Lab, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2WB, UK
| | - Angelo Talay
- Genomics of Ageing and Rejuvenation Lab, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2WB, UK
| | - Daniel Thornton
- Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool L7 8TX, UK
| | - Paul Ka Po To
- Genomics of Ageing and Rejuvenation Lab, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2WB, UK
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30
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Clauss M, Müller DWH. Putting zoo animal cancer into perspective. Zoo Biol 2024; 43:15-21. [PMID: 37664965 DOI: 10.1002/zoo.21802] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/30/2023] [Accepted: 08/25/2023] [Indexed: 09/05/2023]
Abstract
As part of a comparative research agenda that promises insights that help extend the human lifespan and combat cancer, cancer prevalence in zoo animals has received recent attention. Here, we want to draw attention to a principle of cancer research that was introduced into the zoo world as early on as 1933, but that seems to have gone somewhat forgotten: Cancer is mainly a disease of old age, and therefore studies aiming at identifying taxa that are particularly susceptible or resistant to cancer must control for whether the respective zoo populations are 'old.' In a comparative context, 'old age' cannot be measured in absolute terms (e.g., years), but only in relation to a species' maximum lifespan: Species that achieve, across zoos, a higher mean lifespan as a percent of their maximum lifespan are 'older.' When applying this metric to former as well as more recently published data on cancer prevalence, it appears that those species that become relatively old in zoos-in particular, the carnivores-have a relatively high cancer prevalence. Any improvement in animal husbandry-which reduces premature deaths-should, by default, lead to more cancer. Cancer in zoo animals, like any other old-age condition, might therefore be embraced as a proxy for good husbandry. Rather than following a sensationalist approach that dramatizes disease and death per se, zoos should be clear about what their husbandry goals are, what relative longevities they want to achieve for which species, and what old-age diseases they should therefore expect: in the end, one has to die of something.
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Affiliation(s)
- Marcus Clauss
- Clinic for Zoo Animals, Exotic Pets and Wildlife, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
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31
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Wang ZY. Octopus death and dying. Integr Comp Biol 2023; 63:1209-1213. [PMID: 37437909 DOI: 10.1093/icb/icad098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 05/18/2023] [Accepted: 07/03/2023] [Indexed: 07/14/2023] Open
Affiliation(s)
- Z Yan Wang
- Department of Psychology, University of Washington, Seattle, WA 98195, USA
- Department of Biology, University of Washington, Seattle, WA 98195, USA
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Bertucci-Richter EM, Parrott BB. The rate of epigenetic drift scales with maximum lifespan across mammals. Nat Commun 2023; 14:7731. [PMID: 38007590 PMCID: PMC10676422 DOI: 10.1038/s41467-023-43417-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/09/2023] [Indexed: 11/27/2023] Open
Abstract
Epigenetic drift or "disorder" increases across the mouse lifespan and is suggested to underlie epigenetic clock signals. While the role of epigenetic drift in determining maximum lifespan across species has been debated, robust tests of this hypothesis are lacking. Here, we test if epigenetic disorder at various levels of genomic resolution explains maximum lifespan across four mammal species. We show that epigenetic disorder increases with age in all species and at all levels of genomic resolution tested. The rate of disorder accumulation occurs faster in shorter lived species and corresponds to species adjusted maximum lifespan. While the density of cytosine-phosphate-guanine dinucleotides ("CpGs") is negatively associated with the rate of age-associated disorder accumulation, it does not fully explain differences across species. Our findings support the hypothesis that the rate of epigenetic drift explains maximum lifespan and provide partial support for the hypothesis that CpG density buffers against epigenetic drift.
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Affiliation(s)
- Emily M Bertucci-Richter
- Savannah River Ecology Laboratory, University of Georgia, Aiken, SC, 29802, USA
- Eugene P. Odum School of Ecology, University of Georgia, Athens, GA, 30602, USA
| | - Benjamin B Parrott
- Savannah River Ecology Laboratory, University of Georgia, Aiken, SC, 29802, USA.
- Eugene P. Odum School of Ecology, University of Georgia, Athens, GA, 30602, USA.
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Lagger C, Ursu E, Equey A, Avelar RA, Pisco AO, Tacutu R, de Magalhães JP. scDiffCom: a tool for differential analysis of cell-cell interactions provides a mouse atlas of aging changes in intercellular communication. NATURE AGING 2023; 3:1446-1461. [PMID: 37919434 PMCID: PMC10645595 DOI: 10.1038/s43587-023-00514-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 09/27/2023] [Indexed: 11/04/2023]
Abstract
Dysregulation of intercellular communication is a hallmark of aging. To better quantify and explore changes in intercellular communication, we present scDiffCom and scAgeCom. scDiffCom is an R package, relying on approximately 5,000 curated ligand-receptor interactions, that performs differential intercellular communication analysis between two conditions from single-cell transcriptomics data. Built upon scDiffCom, scAgeCom is an atlas of age-related cell-cell communication changes covering 23 mouse tissues from 58 single-cell RNA sequencing datasets from Tabula Muris Senis and the Calico murine aging cell atlas. It offers a comprehensive resource of tissue-specific and sex-specific aging dysregulations and highlights age-related intercellular communication changes widespread across the whole body, such as the upregulation of immune system processes and inflammation, the downregulation of developmental processes, angiogenesis and extracellular matrix organization and the deregulation of lipid metabolism. Our analysis emphasizes the relevance of the specific ligands, receptors and cell types regulating these processes. The atlas is available online ( https://scagecom.org ).
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Affiliation(s)
- Cyril Lagger
- Integrative Genomics of Ageing Group, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Altos Labs, San Diego, CA, USA
| | - Eugen Ursu
- Systems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania
| | - Anaïs Equey
- Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Roberto A Avelar
- Integrative Genomics of Ageing Group, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Angela Oliveira Pisco
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Insitro, Inc., South San Francisco, USA
| | - Robi Tacutu
- Systems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania
| | - João Pedro de Magalhães
- Integrative Genomics of Ageing Group, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
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Wittwer A, Roller M, Müller DWH, Bertelsen MF, Lackey LB, Steck B, Biddle R, Versteege L, Clauss M. Historical development of the survivorship of zoo rhinoceroses-A comparative historical analysis. Zoo Biol 2023; 42:797-810. [PMID: 37350431 DOI: 10.1002/zoo.21793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 06/06/2023] [Accepted: 06/09/2023] [Indexed: 06/24/2023]
Abstract
Zoo animal husbandry is a skill that should be developing constantly. In theory, this should lead to an improvement of zoo animal survivorship over time. Additionally, it has been suggested that species that are at a comparatively higher risk of extinction in their natural habitats (in situ) might also be more difficult to keep under zoo conditions (ex situ). Here, we assessed these questions for three zoo-managed rhinoceros species with different extinction risk status allocated by the IUCN: the "critically endangered" black rhino (Diceros bicornis), the "vulnerable" greater one-horned (GOH) rhino (Rhinoceros unicornis), and the "near threatened" white rhino (Ceratotherium simum). Comparing zoo animals ≥1 year of age, the black rhino had the lowest and the white rhino the highest survivorship, in congruence with their extinction risk status. Historically, the survivorship of both black and white rhino in zoos improved significantly over time, whereas that of GOH rhino stagnated. Juvenile mortality was generally low and decreased even further in black and white rhinos over time. Together with the development of population pyramids, this shows increasing competence of the global zoo community to sustain all three species. Compared to the continuously expanding zoo population of GOH and white rhinos, the zoo-managed black rhino population has stagnated in numbers in recent years. Zoos do not only contribute to conservation by propagating ex situ populations, but also by increasing species-specific husbandry skills. We recommend detailed research to understand specific factors responsible for the stagnation but also the general improvement of survivorship of zoo-managed rhinos.
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Affiliation(s)
- Anita Wittwer
- Clinic for Zoo Animals, Exotic Pets and Wildlife, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | | | | | | | | | | | - Rebecca Biddle
- Twycross Zoo-East Midland Zoological Society, Norton Grange, Warwickshire, UK
| | | | - Marcus Clauss
- Clinic for Zoo Animals, Exotic Pets and Wildlife, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
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Lackmann AR, Black SA, Bielak-Lackmann ES, Lackmann JA. Centenarian lifespans of three freshwater fish species in Arizona reveal the exceptional longevity of the buffalofishes (Ictiobus). Sci Rep 2023; 13:17401. [PMID: 37864074 PMCID: PMC10589290 DOI: 10.1038/s41598-023-44328-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 10/06/2023] [Indexed: 10/22/2023] Open
Abstract
During the 1910s three buffalofish species (Catostomidae: Ictiobus cyprinellus, I. bubalus, I. niger) were reared in ponds along the Mississippi River. Individuals of these buffalofishes were transported to locations across the United States to support or establish commercial fisheries, including Roosevelt Lake, Arizona in 1918. During the 1930s-1960s a commercial fishery existed on Roosevelt Lake, ending by 1970. Scarce information exists on Arizona buffalofishes since. From 2018 to 2023 we studied buffalofishes from nearby Apache Lake (adjacent and downstream of Roosevelt Lake) in collaboration with anglers. Here we show that > 90% of buffalofishes captured from Apache Lake are more than 80 years old and that some of the original buffalofishes from the Arizona stocking in 1918 are likely still alive. Using unique markings on old-age buffalofishes, we demonstrate how individuals are identified and inform dozens of recaptures. We now know all species of USA Ictiobus can live more than 100 years, making it the only genus of animal besides marine rockfishes (Sebastes) for which three or more species have been shown to live > 100 years. Our citizen-science collaboration has revealed remarkable longevity for freshwater fishes and has fundamentally redefined our understanding of the genus Ictiobus itself.
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Affiliation(s)
- Alec R Lackmann
- Department of Mathematics and Statistics, University of Minnesota Duluth, 140 Solon Campus Center, 1117 University Drive, Duluth, MN, 55812, USA.
- Department of Biology, University of Minnesota Duluth, 1035 Kirby Drive, SSB 207, Duluth, MN, 55812, USA.
| | | | - Ewelina S Bielak-Lackmann
- Department of Biology, University of Minnesota Duluth, 1035 Kirby Drive, SSB 207, Duluth, MN, 55812, USA
| | - Jeffrey A Lackmann
- Department of Biological Sciences, Dept. 2715, North Dakota State University, PO Box 6050, Fargo, ND, 58108, USA
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Liu A, Wang N, Xie G, Li Y, Yan X, Li X, Zhu Z, Li Z, Yang J, Meng F, Dou M, Chen W, Ma N, Jiang Y, Gao Y, Wang Y. GC-biased gene conversion drives accelerated evolution of ultraconserved elements in mammalian and avian genomes. Genome Res 2023; 33:1673-1689. [PMID: 37884342 PMCID: PMC10691551 DOI: 10.1101/gr.277784.123] [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: 02/08/2023] [Accepted: 08/23/2023] [Indexed: 10/28/2023]
Abstract
Ultraconserved elements (UCEs) are the most conserved regions among the genomes of evolutionarily distant species and are thought to play critical biological functions. However, some UCEs rapidly evolved in specific lineages, and whether they contributed to adaptive evolution is still controversial. Here, using an increased number of sequenced genomes with high taxonomic coverage, we identified 2191 mammalian UCEs and 5938 avian UCEs from 95 mammal and 94 bird genomes, respectively. Our results show that these UCEs are functionally constrained and that their adjacent genes are prone to widespread expression with low expression diversity across tissues. Functional enrichment of mammalian and avian UCEs shows different trends indicating that UCEs may contribute to adaptive evolution of taxa. Focusing on lineage-specific accelerated evolution, we discover that the proportion of fast-evolving UCEs in nine mammalian and 10 avian test lineages range from 0.19% to 13.2%. Notably, up to 62.1% of fast-evolving UCEs in test lineages are much more likely to result from GC-biased gene conversion (gBGC). A single cervid-specific gBGC region embracing the uc.359 allele significantly alters the expression of Nova1 and other neural-related genes in the rat brain. Combined with the altered regulatory activity of ancient gBGC-induced fast-evolving UCEs in eutherians, our results provide evidence that synergy between gBGC and selection shaped lineage-specific substitution patterns, even in the most constrained regulatory elements. In summary, our results show that gBGC played an important role in facilitating lineage-specific accelerated evolution of UCEs, and further support the idea that a combination of multiple evolutionary forces shapes adaptive evolution.
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Affiliation(s)
- Anguo Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Nini Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Faculty of Mathematics and Natural Sciences, University of Cologne, and Cologne Excellence Cluster for Cellular Stress Responses in Aging-Associated Diseases (CECAD), University Hospital Cologne, Cologne 50931, Germany
| | - Guoxiang Xie
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yang Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xixi Yan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xinmei Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhenliang Zhu
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Animal Biotechnology, Ministry of Agriculture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhuohui Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jing Yang
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Animal Biotechnology, Ministry of Agriculture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Fanxin Meng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Mingle Dou
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Weihuang Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Nange Ma
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
- Center for Functional Genomics, Institute of Future Agriculture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yuanpeng Gao
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China;
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Animal Biotechnology, Ministry of Agriculture, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China;
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
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Garger D, Meinel M, Dietl T, Hillig C, Garzorz‐Stark N, Eyerich K, de Angelis MH, Eyerich S, Menden MP. The impact of the cardiovascular component and somatic mutations on ageing. Aging Cell 2023; 22:e13957. [PMID: 37608601 PMCID: PMC10577550 DOI: 10.1111/acel.13957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/27/2023] [Accepted: 07/20/2023] [Indexed: 08/24/2023] Open
Abstract
Mechanistic insight into ageing may empower prolonging the lifespan of humans; however, a complete understanding of this process is still lacking despite a plethora of ageing theories. In order to address this, we investigated the association of lifespan with eight phenotypic traits, that is, litter size, body mass, female and male sexual maturity, somatic mutation, heart, respiratory, and metabolic rate. In support of the somatic mutation theory, we analysed 15 mammalian species and their whole-genome sequencing deriving somatic mutation rate, which displayed the strongest negative correlation with lifespan. All remaining phenotypic traits showed almost equivalent strong associations across this mammalian cohort, however, resting heart rate explained additional variance in lifespan. Integrating somatic mutation and resting heart rate boosted the prediction of lifespan, thus highlighting that resting heart rate may either directly influence lifespan, or represents an epiphenomenon for additional lower-level mechanisms, for example, metabolic rate, that are associated with lifespan.
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Affiliation(s)
- Daniel Garger
- Computational Health Center, Helmholtz MunichNeuherbergGermany
- Faculty of BiologyLudwig Maximilian UniversityMartinsriedGermany
| | - Martin Meinel
- Computational Health Center, Helmholtz MunichNeuherbergGermany
- Faculty of BiologyLudwig Maximilian UniversityMartinsriedGermany
- Department of Dermatology and AllergyTechnical University of MunichMunichGermany
| | - Tamina Dietl
- Computational Health Center, Helmholtz MunichNeuherbergGermany
- Faculty of BiologyLudwig Maximilian UniversityMartinsriedGermany
| | - Christina Hillig
- Computational Health Center, Helmholtz MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichMunichGermany
| | - Natalie Garzorz‐Stark
- Department of Dermatology and AllergyTechnical University of MunichMunichGermany
- Division of Dermatology and Venereology, Department of Medicine Solna, and Center for molecular medicineKarolinska InstitutetStockholmSweden
| | - Kilian Eyerich
- Division of Dermatology and Venereology, Department of Medicine Solna, and Center for molecular medicineKarolinska InstitutetStockholmSweden
- Department of Dermatology and Venerology, Medical SchoolUniversity of FreiburgFreiburgGermany
| | - Martin Hrabě de Angelis
- Institute of Experimental GeneticsHelmholtz MunichNeuherbergGermany
- Chair of Experimental Genetics, TUM School of Life SciencesTechnical University MunichFreisingGermany
- German Center for Diabetes Research (DZD)NeuherbergGermany
| | - Stefanie Eyerich
- Center for Allergy and Environment (ZAUM)Technical University MunichMunichGermany
- Institute for Allergy ResearchHelmholtz Munich, NeuherbergNeuherbergGermany
| | - Michael P. Menden
- Computational Health Center, Helmholtz MunichNeuherbergGermany
- Faculty of BiologyLudwig Maximilian UniversityMartinsriedGermany
- German Center for Diabetes Research (DZD)NeuherbergGermany
- Department of Biochemistry and PharmacologyUniversity of MelbourneParkvilleVictoriaAustralia
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Yin S, Li N, Xu W, Becker DJ, de Boer WF, Xu C, Mundkur T, Fountain-Jones NM, Li C, Han GZ, Wu Q, Prosser DJ, Cui L, Huang ZYX. Functional traits explain waterbirds' host status, subtype richness, and community-level infection risk for avian influenza. Ecol Lett 2023; 26:1780-1791. [PMID: 37586885 DOI: 10.1111/ele.14294] [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: 02/28/2023] [Accepted: 07/17/2023] [Indexed: 08/18/2023]
Abstract
Species functional traits can influence pathogen transmission processes, and consequently affect species' host status, pathogen diversity, and community-level infection risk. We here investigated, for 143 European waterbird species, effects of functional traits on host status and pathogen diversity (subtype richness) for avian influenza virus at species level. We then explored the association between functional diversity and HPAI H5Nx occurrence at the community level for 2016/17 and 2021/22 epidemics in Europe. We found that both host status and subtype richness were shaped by several traits, such as diet guild and dispersal ability, and that the community-weighted means of these traits were also correlated with community-level risk of H5Nx occurrence. Moreover, functional divergence was negatively associated with H5Nx occurrence, indicating that functional diversity can reduce infection risk. Our findings highlight the value of integrating trait-based ecology into the framework of diversity-disease relationship, and provide new insights for HPAI prediction and prevention.
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Affiliation(s)
- Shenglai Yin
- College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Ning Li
- Institute of Applied Ecology, Nanjing Xiaozhuang University, Nanjing, China
| | - Wenjie Xu
- College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, Oklahoma, USA
| | - Willem F de Boer
- Wildlife Ecology and Conservation Group, Wageningen University, Wageningen, The Netherlands
| | - Chi Xu
- School of Life Sciences, Nanjing University, Nanjing, China
| | - Taej Mundkur
- Wetlands International, Ede, The Netherlands
- Good Earth Environmental, Arnhem, The Netherlands
| | | | - Chunlin Li
- School of Resources and Environmental Engineering, Anhui University, Hefei, China
| | - Guan-Zhu Han
- College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Qiang Wu
- College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Diann J Prosser
- Eastern Ecological Science Center, United States Geological Survey, Laurel, Maryland, USA
| | - Lijuan Cui
- Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Zheng Y X Huang
- College of Life Sciences, Nanjing Normal University, Nanjing, China
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39
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Cosentino F, Castiello G, Maiorano L. A dataset on African bats' functional traits. Sci Data 2023; 10:623. [PMID: 37709808 PMCID: PMC10502069 DOI: 10.1038/s41597-023-02472-w] [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: 11/02/2022] [Accepted: 08/14/2023] [Indexed: 09/16/2023] Open
Abstract
Trait-based approaches are becoming extremely common in ecological modeling and the availability of traits databases is increasing. However, data availability is often biased towards particular regions and taxa, with many taxa (e.g., bats) often under-represented. Here, we present the AfroBaT dataset, a compilation of trait data on 320 African bat species containing 76,914 values for 86 traits focusing on morphology, reproduction, life-history, trophic ecology, and species distributions. All data were gathered from published literature following the ecological trait-data standard procedure. Missing data for both numerical and categorical traits were imputed with a machine learning approach including species phylogeny. Trophic ecology traits showed the highest coverage in the literature (72% of the species averaged over all traits), while reproductive traits the lowest. Our data imputation improved the coverage of AfroBaT especially for reproductive traits, going from 27% to 58% of the species covered. AfroBaT has a range of potential applications in macroecology and community ecology, and the availability of open-access data on African bats will enable collaboration and data-sharing among researchers.
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Affiliation(s)
- Francesca Cosentino
- Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Rome, Italy.
| | - Giorgia Castiello
- Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Rome, Italy
- CREA Research Centre for Forestry and Wood, v.le Santa Margherita 80, 52100, Arezzo, Italy
| | - Luigi Maiorano
- Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Rome, Italy
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40
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Ferreira MS, Dickman CR, Fisher DO, Figueiredo MDSL, Vieira MV. Marsupial position on life-history continua and the potential contribution of life-history traits to population growth. Proc Biol Sci 2023; 290:20231316. [PMID: 37608722 PMCID: PMC10445018 DOI: 10.1098/rspb.2023.1316] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 07/25/2023] [Indexed: 08/24/2023] Open
Abstract
Previous studies have suggested that mammal life history varies along the fast-slow continuum and that, in eutherians, this continuum is linked to variation in the potential contribution of survival and reproduction to population growth rate (λ). Fast eutherians mature early, have large litters and short lifespans, and exhibit high potential contribution of age at first reproduction and fertility to λ, while slow eutherians show high potential contribution of survival to λ. However, marsupials have typically been overlooked in comparative tests of mammalian life-history evolution. Here, we tested whether the eutherian life-history pattern extends to marsupials, and show that marsupial life-history trade-offs are organized along two major axes: (i) the reproductive output and dispersion axis, and (ii) the fast-slow continuum, with an additional association between adult survival and body mass. Life-history traits that potentially drive changes in λ are similar in eutherians and marsupials with slow life histories, but differ in fast marsupials; age at first reproduction is the most important trait contributing to λ and fertility contributes little. Marsupials have slower life histories than eutherians, and differences between these clades may derive from their contrasting reproductive modes; marsupials have slower development, growth and metabolism than eutherians of equivalent size.
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Affiliation(s)
- Mariana Silva Ferreira
- Programa de Pós-graduação em Ecologia, Departamento de Ecologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratório de Vertebrados, Departamento de Ecologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Applied Ecology and Conservation Lab, Departamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Bahia, Brazil
| | - Christopher R. Dickman
- School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Diana O. Fisher
- School of Biological Sciences, University of Queensland, Queensland, Australia
| | - Marcos de Souza Lima Figueiredo
- Programa de Pós-Graduação em Biodiversidade Neotropical, Instituto de Biociências, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marcus Vinícius Vieira
- Programa de Pós-graduação em Ecologia, Departamento de Ecologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratório de Vertebrados, Departamento de Ecologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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41
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Kapsetaki SE, Basile AJ, Compton ZT, Rupp SM, Duke EG, Boddy AM, Harrison TM, Sweazea KL, Maley CC. The relationship between diet, plasma glucose, and cancer prevalence across vertebrates. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.31.551378. [PMID: 37577544 PMCID: PMC10418110 DOI: 10.1101/2023.07.31.551378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Could diet and mean plasma glucose concentration (MPGluC) explain the variation in cancer prevalence across species? We collected diet, MPGluC, and neoplasia data for 160 vertebrate species from existing databases. We found that MPGluC negatively correlates with cancer and neoplasia prevalence, mostly of gastrointestinal organs. Trophic level positively correlates with cancer and neoplasia prevalence even after controlling for species MPGluC. Most species with high MPGluC (50/78 species = 64.1%) were birds. Most species in high trophic levels (42/53 species = 79.2%) were reptiles and mammals. Our results may be explained by the evolution of insulin resistance in birds which selected for loss or downregulation of genes related to insulin-mediated glucose import in cells. This led to higher MPGluC, intracellular caloric restriction, production of fewer reactive oxygen species and inflammatory cytokines, and longer telomeres contributing to longer longevity and lower neoplasia prevalence in extant birds relative to other vertebrates.
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Affiliation(s)
- Stefania E Kapsetaki
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
- Tufts University, School of Arts and Sciences, Department of Biology, Medford, MA, USA
| | - Anthony J Basile
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, 427 East Tyler Mall, Arizona State University, Tempe, Arizona, USA
| | - Zachary T Compton
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Shawn M Rupp
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Elizabeth G Duke
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, 27607 USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC, 27607 USA
| | - Amy M Boddy
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Anthropology, University of California Santa Barbara, CA, USA
| | - Tara M Harrison
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, 27607 USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC, 27607 USA
| | - Karen L Sweazea
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - Carlo C Maley
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
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Zhou Y, Zhan X, Jin J, Zhou L, Bergman J, Li X, Rousselle MMC, Belles MR, Zhao L, Fang M, Chen J, Fang Q, Kuderna L, Marques-Bonet T, Kitayama H, Hayakawa T, Yao YG, Yang H, Cooper DN, Qi X, Wu DD, Schierup MH, Zhang G. Eighty million years of rapid evolution of the primate Y chromosome. Nat Ecol Evol 2023; 7:1114-1130. [PMID: 37268856 DOI: 10.1038/s41559-022-01974-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 12/15/2022] [Indexed: 06/04/2023]
Abstract
The Y chromosome usually plays a critical role in determining male sex and comprises sequence classes that have experienced unique evolutionary trajectories. Here we generated 19 new primate sex chromosome assemblies, analysed them with 10 existing assemblies and report rapid evolution of the Y chromosome across primates. The pseudoautosomal boundary has shifted at least six times during primate evolution, leading to the formation of a Simiiformes-specific evolutionary stratum and to the independent start of young strata in Catarrhini and Platyrrhini. Different primate lineages experienced different rates of gene loss and structural and chromatin change on their Y chromosomes. Selection on several Y-linked genes has contributed to the evolution of male developmental traits across the primates. Additionally, lineage-specific expansions of ampliconic regions have further increased the diversification of the structure and gene composition of the Y chromosome. Overall, our comprehensive analysis has broadened our knowledge of the evolution of the primate Y chromosome.
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Affiliation(s)
| | | | | | - Long Zhou
- Centre for Evolutionary & Organismal Biology, and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
| | - Juraj Bergman
- Section for Ecoinformatics & Biodiversity, Department of Biology, Aarhus University, Aarhus C., Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus C., Denmark
| | - Xuemei Li
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | | | | | - Lan Zhao
- College of Life Sciences, Northwest University, Xi'an, China
| | | | | | - Qi Fang
- BGI-Shenzhen, Shenzhen, China
| | - Lukas Kuderna
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Haruka Kitayama
- Graduate School of Environmental Science, Hokkaido University, Sapporo, Japan
| | - Takashi Hayakawa
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan
- Japan Monkey Centre, Inuyama, Japan
| | - Yong-Gang Yao
- Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- James D. Watson Institute of Genome Sciences, Hangzhou, China
- Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Shenzhen, China
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK
| | - Xiaoguang Qi
- College of Life Sciences, Northwest University, Xi'an, China
| | - Dong-Dong Wu
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | | | - Guojie Zhang
- Centre for Evolutionary & Organismal Biology, and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China.
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
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43
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Perillo M, Punzo A, Caliceti C, Sell C, Lorenzini A. The spontaneous immortalization probability of mammalian cell culture strains, as their proliferative capacity, correlates with species body mass, not longevity. Biomed J 2023; 46:100596. [PMID: 37149260 PMCID: PMC10277518 DOI: 10.1016/j.bj.2023.100596] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/21/2023] [Accepted: 04/29/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND The Peto's paradox consists in the observation that individuals from long-lived and large animal species do not experience a higher cancer incidence, despite being exposed for longer time to the possibility of accumulating mutations and having more target cells exposed to the phenomenon. The existence of this paradox has been recently confirmed (Vincze et al., 2022). Concurrently, robust evidence has been published that longevity involves a convergent evolution of cellular mechanisms that prevent the accumulation of mutations (Cagan et al., 2022). It remains unclear which cellular mechanisms are critical to allow the evolution of a large body mass while keeping cancer at bay. METHODS Adding to existing data linking cellular replicative potential and species body mass (Lorenzini et al., 2005), we have grown a total of 84 skin fibroblast cell strains from 40 donors of 17 mammalian species and analyzed their Hayflick's limit, i.e., their senescent plateau, and eventual spontaneous immortalization escape. The correlation of immortalization and replicative capacity of the species with their longevity, body mass and metabolism has been assessed through phylogenetic multiple linear regression (MLR). RESULTS The immortalization probability is negatively related to species body mass. The new evaluation and additional data about replicative potential strengthen our previous observation, confirming that stable and extended proliferation is strongly correlated with the evolution of a large body mass rather than lifespan. CONCLUSION The relation between immortalization and body mass suggests a need to evolve stringent mechanisms that control genetic stability during the evolution of a large body mass.
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Affiliation(s)
- Matteo Perillo
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy.
| | - Angela Punzo
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy
| | - Cristiana Caliceti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy
| | - Christian Sell
- Department of Biochemistry & Molecular Biology, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Antonello Lorenzini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy
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44
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Bernard C, Santos GS, Deere JA, Rodriguez-Caro R, Capdevila P, Kusch E, Gascoigne SJL, Jackson J, Salguero-Gómez R. MOSAIC - A Unified Trait Database to Complement Structured Population Models. Sci Data 2023; 10:335. [PMID: 37264011 PMCID: PMC10235418 DOI: 10.1038/s41597-023-02070-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 03/14/2023] [Indexed: 06/03/2023] Open
Abstract
Despite exponential growth in ecological data availability, broader interoperability amongst datasets is needed to unlock the potential of open access. Our understanding of the interface of demography and functional traits is well-positioned to benefit from such interoperability. Here, we introduce MOSAIC, an open-access trait database that unlocks the demographic potential stored in the COMADRE, COMPADRE, and PADRINO open-access databases. MOSAIC data were digitised and curated through a combination of existing datasets and new trait records sourced from primary literature. In its first release, MOSAIC (v. 1.0.0) includes 14 trait fields for 300 animal and plant species: biomass, height, growth determination, regeneration, sexual dimorphism, mating system, hermaphrodism, sequential hermaphrodism, dispersal capacity, type of dispersal, mode of dispersal, dispersal classes, volancy, and aquatic habitat dependency. MOSAIC includes species-level phylogenies for 1,359 species and population-specific climate data. We identify how database integration can improve our understanding of traits well-quantified in existing repositories and those that are poorly quantified (e.g., growth determination, modularity). MOSAIC highlights emerging challenges associated with standardising databases and demographic measures.
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Affiliation(s)
- Connor Bernard
- Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom.
| | - Gabriel Silva Santos
- Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
- Department of Ecology, Rio de Janeiro State University, 20550-900, Rio de Janeiro, Brazil
- National Institute of the Atlantic Forest (INMA), 29650-000, Santa Teresa, Espírito Santo, Brazil
| | - Jacques A Deere
- Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
- Department of Evolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1012 WX, Amsterdam, Netherlands
| | - Roberto Rodriguez-Caro
- Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
- Departamento de Biología Aplicada, Universidad Miguel Hernández. Av. Universidad, s/n, 03202, Elche (Alicante), Spain
| | - Pol Capdevila
- Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
- School of Biological Sciences, University of Bristol, 24 Tyndall Ave, Bristol, BS8 1TQ, United Kingdom
| | - Erik Kusch
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Arhus University, Aarhus, Denmark
- Section for Ecoinformatics & Biodiversity, Department of Biology, Arhus University, Aarhus, Denmark
| | - Samuel J L Gascoigne
- Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
| | - John Jackson
- Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
| | - Roberto Salguero-Gómez
- Department of Biology, University of Oxford, 11a Mansfield Rd, OX13SZ, Oxford, United Kingdom
- Centre for Biodiversity and Conservation Science, University of Queensland, St. Lucia, QLD, Australia
- Evolutionary Demography Laboratory, Max Plank Institute for Demographic Research, Rostock, Germany
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45
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Duckworth RA, Chenard KC, Meza L, Beiriz MC. Coping styles vary with species' sociality and life history: A systematic review and meta-regression analysis. Neurosci Biobehav Rev 2023; 151:105241. [PMID: 37216998 DOI: 10.1016/j.neubiorev.2023.105241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 05/24/2023]
Abstract
Despite a long history of animal studies investigating coping styles, the causal connections between behavior and stress physiology remain unclear. Consistency across taxa in effect sizes would support the idea of a direct causal link maintained by either functional or developmental dependencies. Alternatively, lack of consistency would suggest coping styles are evolutionarily labile. Here, we investigated correlations between personality traits and baseline and stress-induced glucocorticoid levels using a systematic review and meta-analysis. Most personality traits did not consistently vary with either baseline or stress-induced glucocorticoids. Only aggression and sociability showed a consistent negative correlation with baseline glucocorticoids. We found that life history variation affected the relationship between stress-induced glucocorticoid levels and personality traits, especially anxiety and aggression. The relationship between anxiety and baseline glucocorticoids depended on species' sociality with solitary species showing more positive effect sizes. Thus, integration between behavioral and physiological traits depends on species' sociality and life history and suggests high evolutionary lability of coping styles.
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Affiliation(s)
- Renée A Duckworth
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA.
| | - Kathryn C Chenard
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Lexis Meza
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Maria Carolina Beiriz
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA; Department of Ecology and Natural Resources, Universidade Federal do Ceará, Fortaleza, CE 60440-900, Brazil
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46
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Zhang L, Park JJ, Dong MB, Arsala D, Xia S, Chen J, Sosa D, Atlas JE, Long M, Chen S. Human gene age dating reveals an early and rapid evolutionary construction of the adaptive immune system. Genome Biol Evol 2023; 15:evad081. [PMID: 37170918 PMCID: PMC10210621 DOI: 10.1093/gbe/evad081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 04/24/2023] [Accepted: 05/02/2023] [Indexed: 05/13/2023] Open
Abstract
T cells are a type of white blood cell that play a critical role in the immune response against foreign pathogens through a process called T Cell Adaptive Immunity (TCAI). However, the evolution of the genes and nucleotide sequences involved in TCAI is not well understood. To investigate this, we performed comparative studies of gene annotations and genome assemblies of 28 vertebrate species and identified sets of human genes that are involved in TCAI, carcinogenesis, and ageing. We found that these gene sets share interaction pathways which may have contributed to the evolution of longevity in the vertebrate lineage leading to humans. Our human gene age dating analyses revealed that there was rapid origination of genes with TCAI-related functions prior to the Cretaceous eutherian radiation and these new genes mainly encode negative regulators. We identified no new TCAI-related genes after the divergence of placental mammals, but we did detect an extensive number of amino acid substitutions under strong positive selection in recently evolved human immunity genes suggesting they are co-evolving with adaptive immunity. More specifically, we observed that antigen processing and presentation and checkpoint genes are significantly enriched among new genes evolving under positive selection. These observations reveal an evolutionary process of T Cell Adaptive Immunity that were associated with rapid gene duplication in the early stages of vertebrates and subsequent sequence changes in TCAI-related genes. These processes together suggest an early genetic construction of the vertebrate immune system and subsequent molecular adaptation to diverse antigens.
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Affiliation(s)
- Li Zhang
- System Biology Institute, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Yale M.D.-Ph.D. Program, New Haven, Connecticut, USA
| | - Jonathan J Park
- System Biology Institute, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Yale M.D.-Ph.D. Program, New Haven, Connecticut, USA
| | - Matthew B Dong
- System Biology Institute, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Yale M.D.-Ph.D. Program, New Haven, Connecticut, USA
- Immunobiology Program, The Anlyan Center, New Haven, Connecticut, USA
- Department of Immunobiology, The Anlyan Center, New Haven, Connecticut, USA
| | - Deanna Arsala
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Shengqian Xia
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Jianhai Chen
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Dylan Sosa
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Jared E Atlas
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, USA
| | - Manyuan Long
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
| | - Sidi Chen
- System Biology Institute, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, Connecticut, USA
- Yale M.D.-Ph.D. Program, New Haven, Connecticut, USA
- Immunobiology Program, The Anlyan Center, New Haven, Connecticut, USA
- Yale Comprehensive Cancer Center, New Haven, Connecticut, USA
- Yale Stem Cell Center, Yale University School of Medicine, New Haven, Connecticut, USA
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Froidevaux JSP, Toshkova N, Barbaro L, Benítez-López A, Kerbiriou C, Le Viol I, Pacifici M, Santini L, Stawski C, Russo D, Dekker J, Alberdi A, Amorim F, Ancillotto L, Barré K, Bas Y, Cantú-Salazar L, Dechmann DKN, Devaux T, Eldegard K, Fereidouni S, Furmankiewicz J, Hamidovic D, Hill DL, Ibáñez C, Julien JF, Juste J, Kaňuch P, Korine C, Laforge A, Legras G, Leroux C, Lesiński G, Mariton L, Marmet J, Mata VA, Mifsud CM, Nistreanu V, Novella-Fernandez R, Rebelo H, Roche N, Roemer C, Ruczyński I, Sørås R, Uhrin M, Vella A, Voigt CC, Razgour O. A species-level trait dataset of bats in Europe and beyond. Sci Data 2023; 10:253. [PMID: 37137926 PMCID: PMC10156679 DOI: 10.1038/s41597-023-02157-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/17/2023] [Indexed: 05/05/2023] Open
Abstract
Knowledge of species' functional traits is essential for understanding biodiversity patterns, predicting the impacts of global environmental changes, and assessing the efficiency of conservation measures. Bats are major components of mammalian diversity and occupy a variety of ecological niches and geographic distributions. However, an extensive compilation of their functional traits and ecological attributes is still missing. Here we present EuroBaTrait 1.0, the most comprehensive and up-to-date trait dataset covering 47 European bat species. The dataset includes data on 118 traits including genetic composition, physiology, morphology, acoustic signature, climatic associations, foraging habitat, roost type, diet, spatial behaviour, life history, pathogens, phenology, and distribution. We compiled the bat trait data obtained from three main sources: (i) a systematic literature and dataset search, (ii) unpublished data from European bat experts, and (iii) observations from large-scale monitoring programs. EuroBaTrait is designed to provide an important data source for comparative and trait-based analyses at the species or community level. The dataset also exposes knowledge gaps in species, geographic and trait coverage, highlighting priorities for future data collection.
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Affiliation(s)
- Jérémy S P Froidevaux
- University of Stirling, Biological and Environmental Sciences, Faculty of Natural Sciences, FK9 4LJ, Stirling, UK.
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France.
- School of Biological Sciences, University of Bristol, Life Sciences Building, BS8 1TQ, Bristol, UK.
| | - Nia Toshkova
- Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, 1 Tsar Osvoboditel Blvd., 1000, Sofia, Bulgaria
- National Museum of Natural History at the Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Luc Barbaro
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
- DYNAFOR, INRAE-INPT, University of Toulouse, Castanet-Tolosan, France
| | - Ana Benítez-López
- Integrative Ecology Group, Estación Biológica de Doñana (EBD-CSIC), Sevilla, Spain
- Department of Zoology, University of Granada, Granada, Spain
| | - Christian Kerbiriou
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
| | - Isabelle Le Viol
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
| | - Michela Pacifici
- Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Rome, Italy
| | - Luca Santini
- Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Rome, Italy
| | - Clare Stawski
- Department of Biology, Norwegian University of Science and Technology, Trondheim, NO-7491, Norway
- School of Science, Technology and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland, 4558, Australia
| | - Danilo Russo
- Laboratory of Animal Ecology and Evolution (AnEcoEvo), Dipartimento di Agraria, Università degli Studi di Napoli Federico II, via Università, 100, 80055, Portici (Napoli), Italy.
| | - Jasja Dekker
- Jasja Dekker Dierecologie BV, Arnhem, the Netherlands
| | - Antton Alberdi
- Center for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Francisco Amorim
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Leonardo Ancillotto
- Laboratory of Animal Ecology and Evolution (AnEcoEvo), Dipartimento di Agraria, Università degli Studi di Napoli Federico II, via Università, 100, 80055, Portici (Napoli), Italy
| | - Kévin Barré
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
| | - Yves Bas
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
- CEFE, Univ. Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Lisette Cantú-Salazar
- Luxembourg Institute of Science and Technology, Environmental Research and Innovation, 41 rue du Brill, L-4422, Belvaux, Luxemburg
| | - Dina K N Dechmann
- Max Planck Institute of Animal Behavior, Department of Migration, Am Obstberg 1, 78315, Radolfzell, Germany
- University of Konstanz, Department of Biology, Universitätsstr. 10, 78464, Konstanz, Germany
| | - Tiphaine Devaux
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
| | - Katrine Eldegard
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, NO-1432, Ås, Norway
| | - Sasan Fereidouni
- Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Joanna Furmankiewicz
- Department of Behavioural Ecology, Faculty of Biological Sciences, University of Wroclaw, Sienkiewicza 21, 50-335, Wroclaw, Poland
| | - Daniela Hamidovic
- Ministry of Economy and Sustainable Development, Institute for Environment and Nature, Radnička cesta 80, HR-10000, Zagreb, Croatia
- Croatian Biospeleological Society, Rooseveltov trg 6, HR-10000, Zagreb, Croatia
| | - Davina L Hill
- School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Carlos Ibáñez
- Department Evolutionary Ecology, Estación Biológica de Doñana (EBD-CSIC), Sevilla, Spain
| | - Jean-François Julien
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
| | - Javier Juste
- Department Evolutionary Ecology, Estación Biológica de Doñana (EBD-CSIC), Sevilla, Spain
- CIBER de Epidemiología y Salud Pública, CIBERESP, 28220, Madrid, Spain
| | - Peter Kaňuch
- Institute of Forest Ecology, Slovak Academy of Sciences, Zvolen, Slovakia
| | - Carmi Korine
- Mitrani Department of Desert Ecology, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, 8499000, Midreshet Ben-Gurion, Israel
| | - Alexis Laforge
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
| | - Gaëlle Legras
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
| | - Camille Leroux
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
- Auddicé Biodiversité- ZAC du Chevalement, 5 rue des Molettes, 59286, Roost-Warendin, France
| | - Grzegorz Lesiński
- Institute of Animal Science, Warsaw University of Life Sciences (SGGW), Ciszewskiego 8, 02-787, Warsaw, Poland
| | - Léa Mariton
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
- Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie (IMPMC), Sorbonne Université, CNRS, MNHN, IRD, 61 Rue Buffon, 75005, Paris, France
| | - Julie Marmet
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
| | - Vanessa A Mata
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Clare M Mifsud
- Conservation Biology Research Group, Biology Department, University of Malta, MSD2080, Msida, Malta
| | | | - Roberto Novella-Fernandez
- Technical University of Munich, Terrestrial Ecology Research Group, Department for Life Science Systems, School of Life Sciences, Freising, Germany
| | - Hugo Rebelo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal
- ESS, Polytechnic Institute of Setúbal, Campus do IPS - Estefanilha, 2910-761, Setúbal, Portugal
| | - Niamh Roche
- Bat Conservation Ireland, Carmichael House, 4-7, North Brunswick Street, Dublin, D07 RHA8, Ireland
| | - Charlotte Roemer
- Centre d'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, 29900 Concarneau, 75005, Paris, France
- CEFE, Univ. Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Ireneusz Ruczyński
- Mammal Research Institute Polish Academy of Sciences, Stoczek 1, 17-230, Białowieża, Poland
| | - Rune Sørås
- Department of Biology, Norwegian University of Science and Technology, Trondheim, NO-7491, Norway
| | - Marcel Uhrin
- Institute of Biology and Ecology, Faculty of Science, P. J, Šafárik University in Košice, Košice, Slovakia
| | - Adriana Vella
- Conservation Biology Research Group, Biology Department, University of Malta, MSD2080, Msida, Malta
| | - Christian C Voigt
- Department Evolutionary Ecology, Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany
| | - Orly Razgour
- Biosciences, University of Exeter, Streatham Campus, Hatherly Laboratories, Prince of Wales Road, Exeter, EX4 4PS, UK.
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48
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On the natural selection of body mass allometries. ACTA OECOLOGICA 2023. [DOI: 10.1016/j.actao.2023.103889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
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49
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May JA, Feng Z, Adamowicz SJ. A real data-driven simulation strategy to select an imputation method for mixed-type trait data. PLoS Comput Biol 2023; 19:e1010154. [PMID: 36947561 PMCID: PMC10069776 DOI: 10.1371/journal.pcbi.1010154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 04/03/2023] [Accepted: 02/19/2023] [Indexed: 03/23/2023] Open
Abstract
Missing observations in trait datasets pose an obstacle for analyses in myriad biological disciplines. Considering the mixed results of imputation, the wide variety of available methods, and the varied structure of real trait datasets, a framework for selecting a suitable imputation method is advantageous. We invoked a real data-driven simulation strategy to select an imputation method for a given mixed-type (categorical, count, continuous) target dataset. Candidate methods included mean/mode imputation, k-nearest neighbour, random forests, and multivariate imputation by chained equations (MICE). Using a trait dataset of squamates (lizards and amphisbaenians; order: Squamata) as a target dataset, a complete-case dataset consisting of species with nearly complete information was formed for the imputation method selection. Missing data were induced by removing values from this dataset under different missingness mechanisms: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). For each method, combinations with and without phylogenetic information from single gene (nuclear and mitochondrial) or multigene trees were used to impute the missing values for five numerical and two categorical traits. The performances of the methods were evaluated under each missing mechanism by determining the mean squared error and proportion falsely classified rates for numerical and categorical traits, respectively. A random forest method supplemented with a nuclear-derived phylogeny resulted in the lowest error rates for the majority of traits, and this method was used to impute missing values in the original dataset. Data with imputed values better reflected the characteristics and distributions of the original data compared to complete-case data. However, caution should be taken when imputing trait data as phylogeny did not always improve performance for every trait and in every scenario. Ultimately, these results support the use of a real data-driven simulation strategy for selecting a suitable imputation method for a given mixed-type trait dataset.
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Affiliation(s)
- Jacqueline A May
- Department of Integrative Biology & Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada
| | - Zeny Feng
- Department of Mathematics & Statistics, University of Guelph, Guelph, Ontario, Canada
| | - Sarah J Adamowicz
- Department of Integrative Biology & Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada
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50
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Cayuela H, Gaillard JM, Vieira C, Ronget V, Gippet JMW, Garcia TC, Marais GAB, Lemaître JF. Sex differences in adult lifespan and aging rate across mammals: a test of the 'Mother Curse hypothesis'. Mech Ageing Dev 2023; 212:111799. [PMID: 36948470 DOI: 10.1016/j.mad.2023.111799] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 03/15/2023] [Accepted: 03/17/2023] [Indexed: 03/24/2023]
Abstract
In many animal species, including humans, males have shorter lifespan and show faster survival aging than females. This differential increase in mortality between sexes could result from the accumulation of deleterious mutations in the mitochondrial genome of males due to the maternal mode of mtDNA inheritance. To date, empirical evidence supporting the existence of this mechanism - called the Mother Curse hypothesis - remains largely limited to a few study cases in humans and Drosophila. In this study, we tested whether the Mother Curse hypothesis accounts for sex differences in lifespan and aging rate across 128 populations of mammals (60 and 68 populations studied in wild and captive conditions, respectively) encompassing 104 species. We found that adult lifespan decreases with increasing mtDNA neutral substitution rate in both sexes in a similar way in the wild - but not in captivity. Moreover, the aging rate marginally increased with neutral substitution rate in males and females in the wild. Overall, these results indicate that the Mother Curse hypothesis is not supported across mammals. We further discuss the implication of these findings for our understanding of the evolution of sex differences in mortality and aging.
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Affiliation(s)
- Hugo Cayuela
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, F-769622, Villeurbanne, France.
| | - Jean-Michel Gaillard
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, F-769622, Villeurbanne, France
| | - Cristina Vieira
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, F-769622, Villeurbanne, France
| | - Victor Ronget
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, F-769622, Villeurbanne, France
| | - Jérôme M W Gippet
- Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
| | - Thamar Conde Garcia
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, F-769622, Villeurbanne, France
| | - Gabriel A B Marais
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Jean-François Lemaître
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, F-769622, Villeurbanne, France
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