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Cooper LN, Ansari MY, Capshaw G, Galazyuk A, Lauer AM, Moss CF, Sears KE, Stewart M, Teeling EC, Wilkinson GS, Wilson RC, Zwaka TP, Orman R. Bats as instructive animal models for studying longevity and aging. Ann N Y Acad Sci 2024; 1541:10-23. [PMID: 39365995 PMCID: PMC11580778 DOI: 10.1111/nyas.15233] [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: 10/06/2024]
Abstract
Bats (order Chiroptera) are emerging as instructive animal models for aging studies. Unlike some common laboratory species, they meet a central criterion for aging studies: they live for a long time in the wild or in captivity, for 20, 30, and even >40 years. Healthy aging (i.e., healthspan) in bats has drawn attention to their potential to improve the lives of aging humans due to bat imperviousness to viral infections, apparent low rate of tumorigenesis, and unique ability to repair DNA. At the same time, bat longevity also permits the accumulation of age-associated systemic pathologies that can be examined in detail and manipulated, especially in captive animals. Research has uncovered additional and critical advantages of bats. In multiple ways, bats are better analogs to humans than are rodents. In this review, we highlight eight diverse areas of bat research with relevance to aging: genome sequencing, telomeres, and DNA repair; immunity and inflammation; hearing; menstruation and menopause; skeletal system and fragility; neurobiology and neurodegeneration; stem cells; and senescence and mortality. These examples demonstrate the broad relevance of the bat as an animal model and point to directions that are particularly important for human aging studies.
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Affiliation(s)
- Lisa Noelle Cooper
- Department of Anatomy and NeurobiologyNortheast Ohio Medical UniversityRootstownOhioUSA
| | - Mohammad Y. Ansari
- Department of Anatomy and NeurobiologyNortheast Ohio Medical UniversityRootstownOhioUSA
| | - Grace Capshaw
- Department of Psychological and Brain SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Alex Galazyuk
- Department of Anatomy and NeurobiologyNortheast Ohio Medical UniversityRootstownOhioUSA
| | - Amanda M. Lauer
- Department of Otolaryngology – HNSJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Cynthia F. Moss
- Department of Psychological and Brain SciencesJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Karen E. Sears
- Department of Ecology and Evolutionary Biology, Department of Molecular, Cellular, and Developmental BiologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Mark Stewart
- Department of Physiology & PharmacologySUNY Downstate Health Sciences UniversityBrooklynNew YorkUSA
| | - Emma C. Teeling
- School of Biology and Environmental Science, Science Centre EastUniversity College DublinDublinIreland
| | - Gerald S. Wilkinson
- Department of BiologyUniversity of Maryland at College ParkCollege ParkMarylandUSA
| | | | - Thomas P. Zwaka
- Black Family Stem Cell Institute, Huffington Center for Cell‐based Research in Parkinson's Disease, Department of Cell, Developmental and Regenerative BiologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Rena Orman
- Department of Physiology & PharmacologySUNY Downstate Health Sciences UniversityBrooklynNew YorkUSA
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Hanski E, Joseph S, Raulo A, Wanelik KM, O'Toole Á, Knowles SCL, Little TJ. Epigenetic age estimation of wild mice using faecal samples. Mol Ecol 2024; 33:e17330. [PMID: 38561950 DOI: 10.1111/mec.17330] [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: 10/16/2023] [Revised: 02/19/2024] [Accepted: 03/01/2024] [Indexed: 04/04/2024]
Abstract
Age is a key parameter in population ecology, with a myriad of biological processes changing with age as organisms develop in early life then later senesce. As age is often hard to accurately measure with non-lethal methods, epigenetic methods of age estimation (epigenetic clocks) have become a popular tool in animal ecology and are often developed or calibrated using captive animals of known age. However, studies typically rely on invasive blood or tissue samples, which limit their application in more sensitive or elusive species. Moreover, few studies have directly assessed how methylation patterns and epigenetic age estimates compare across environmental contexts (e.g. captive or laboratory-based vs. wild animals). Here, we built a targeted epigenetic clock from laboratory house mice (strain C57BL/6, Mus musculus) using DNA from non-invasive faecal samples, and then used it to estimate age in a population of wild mice (Mus musculus domesticus) of unknown age. This laboratory mouse-derived epigenetic clock accurately predicted adult wild mice to be older than juveniles and showed that wild mice typically increased in epigenetic age over time, but with wide variation in epigenetic ageing rate among individuals. Our results also suggested that, for a given body mass, wild mice had higher methylation across targeted CpG sites than laboratory mice (and consistently higher epigenetic age estimates as a result), even among the smallest, juvenile mice. This suggests wild and laboratory mice may display different CpG methylation levels from very early in life and indicates caution is needed when developing epigenetic clocks on laboratory animals and applying them in the wild.
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Affiliation(s)
- Eveliina Hanski
- University of Oxford, Oxford, UK
- University of Helsinki, Helsinki, Finland
| | | | - Aura Raulo
- University of Oxford, Oxford, UK
- University of Turku, Turku, Finland
| | - Klara M Wanelik
- University of Oxford, Oxford, UK
- University of Surrey, Guildford, UK
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3
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Jayne L, Lavin-Peter A, Roessler J, Tyshkovskiy A, Antoszewski M, Ren E, Markovski A, Sun S, Yao H, Sankaran VG, Gladyshev VN, Brooke RT, Horvath S, Griffith EC, Hrvatin S. A torpor-like state (TLS) in mice slows blood epigenetic aging and prolongs healthspan. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.20.585828. [PMID: 38585858 PMCID: PMC10996477 DOI: 10.1101/2024.03.20.585828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Torpor and hibernation are extreme physiological adaptations of homeotherms associated with pro-longevity effects. Yet the underlying mechanisms of how torpor affects aging, and whether hypothermic and hypometabolic states can be induced to slow aging and increase health span, remain unknown. We demonstrate that the activity of a spatially defined neuronal population in the avMLPA, which has previously been identified as a torpor-regulating brain region, is sufficient to induce a torpor like state (TLS) in mice. Prolonged induction of TLS slows epigenetic aging across multiple tissues and improves health span. We isolate the effects of decreased metabolic rate, long-term caloric restriction, and decreased core body temperature (Tb) on blood epigenetic aging and find that the pro-longevity effect of torpor-like states is mediated by decreased Tb. Taken together, our findings provide novel mechanistic insight into the pro-longevity effects of torpor and hibernation and support the growing body of evidence that Tb is an important mediator of aging processes.
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Affiliation(s)
- Lorna Jayne
- Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, 455 Main Street, Cambridge, MA 02142, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115
- Present address: Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA
| | - Aurora Lavin-Peter
- Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, 455 Main Street, Cambridge, MA 02142, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115
| | - Julian Roessler
- Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, 455 Main Street, Cambridge, MA 02142, USA
| | - Alexander Tyshkovskiy
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Mateusz Antoszewski
- Division of Hematology/Oncology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Erika Ren
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115
| | - Aleksandar Markovski
- Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, 455 Main Street, Cambridge, MA 02142, USA
| | - Senmiao Sun
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115
- Program in Neuroscience, Harvard Medical School, Boston, MA, USA
| | - Hanqi Yao
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vadim N. Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Steve Horvath
- Epigenetic Clock Development Foundation, Torrance, CA, USA
- Altos Labs, Cambridge, UK
| | - Eric C. Griffith
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115
| | - Sinisa Hrvatin
- Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, 455 Main Street, Cambridge, MA 02142, USA
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Arai K, Qi H, Inoue-Murayama M. Age estimation of captive Asian elephants (Elephas maximus) based on DNA methylation: An exploratory analysis using methylation-sensitive high-resolution melting (MS-HRM). PLoS One 2023; 18:e0294994. [PMID: 38079426 PMCID: PMC10712859 DOI: 10.1371/journal.pone.0294994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/13/2023] [Indexed: 12/18/2023] Open
Abstract
Age is an important parameter for bettering the understanding of biodemographic trends-development, survival, reproduction and environmental effects-critical for conservation. However, current age estimation methods are challenging to apply to many species, and no standardised technique has been adopted yet. This study examined the potential use of methylation-sensitive high-resolution melting (MS-HRM), a labour-, time-, and cost-effective method to estimate chronological age from DNA methylation in Asian elephants (Elephas maximus). The objective of this study was to investigate the accuracy and validation of MS-HRM use for age determination in long-lived species, such as Asian elephants. The average lifespan of Asian elephants is between 50-70 years but some have been known to survive for more than 80 years. DNA was extracted from 53 blood samples of captive Asian elephants across 11 zoos in Japan, with known ages ranging from a few months to 65 years. Methylation rates of two candidate age-related epigenetic genes, RALYL and TET2, were significantly correlated with chronological age. Finally, we established a linear, unisex age estimation model with a mean absolute error (MAE) of 7.36 years. This exploratory study suggests an avenue to further explore MS-HRM as an alternative method to estimate the chronological age of Asian elephants.
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Affiliation(s)
- Kana Arai
- Wildlife Research Center, Kyoto University, Kyoto, Japan
| | - Huiyuan Qi
- Wildlife Research Center, Kyoto University, Kyoto, Japan
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Popov IV, Popov IV, Krikunova AA, Lipilkina TA, Derezina TN, Chikindas ML, Venema K, Ermakov AM. Gut Microbiota Composition of Insectivorous Synanthropic and Fructivorous Zoo Bats: A Direct Metagenomic Comparison. Int J Mol Sci 2023; 24:17301. [PMID: 38139130 PMCID: PMC10744024 DOI: 10.3390/ijms242417301] [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: 10/28/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Bats are natural reservoirs for many emerging viral diseases. That is why their virome is widely studied. But at the same time, studies of their bacterial gut microbiota are limited, creating a degree of uncertainty about the role of bats in global microbial ecology. In this study, we analyzed gut microbiota of insectivorous Nyctalus noctula and Vespertilio murinus from rehabilitation centers from Rostov-on-Don and Moscow, respectively, and fructivorous Carollia perspicillata from the Moscow Zoo based on V3-V4 16S rRNA metagenomic sequencing. We revealed that microbial diversity significantly differs between the insectivorous and fructivorous species studied, while the differences between N. noctula and V. murinus are less pronounced, which shows that bats' gut microbiota is not strictly species-specific and depends more on diet type. In the gut microbiota of synanthropic bats, we observed bacteria that are important for public health and animal welfare such as Bacteroides, Enterobacter, Clostridiaceae, Enterococcus, Ureaplasma, Faecalibacterium, and Helicobacter, as well as some lactic acid bacteria such as Pediococcus, Lactobacillus, Lactococcus, and Weisella. All these bacteria, except for Bacteroides and Weisella, were significantly less abundant in C. perspicillata. This study provides a direct metagenomic comparison of synanthropic insectivorous and zoo fructivorous bats, suggesting future directions for studying these animals' role in microbial ecology.
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Affiliation(s)
- Igor V. Popov
- Faculty of Bioengineering and Veterinary Medicine and Center for Agrobiotechnology, Don State Technical University, 344000 Rostov-on-Don, Russia; (I.V.P.); (A.A.K.); (T.A.L.); (T.N.D.); (M.L.C.); (A.M.E.)
- Division of Immunobiology and Biomedicine, Center of Genetics and Life Sciences, Sirius University of Science and Technology, 354340 Federal Territory Sirius, Russia
- Centre for Healthy Eating & Food Innovation (HEFI), Maastricht University Campus Venlo, 5928 SZ Venlo, The Netherlands;
| | - Ilia V. Popov
- Faculty of Bioengineering and Veterinary Medicine and Center for Agrobiotechnology, Don State Technical University, 344000 Rostov-on-Don, Russia; (I.V.P.); (A.A.K.); (T.A.L.); (T.N.D.); (M.L.C.); (A.M.E.)
| | - Anastasya A. Krikunova
- Faculty of Bioengineering and Veterinary Medicine and Center for Agrobiotechnology, Don State Technical University, 344000 Rostov-on-Don, Russia; (I.V.P.); (A.A.K.); (T.A.L.); (T.N.D.); (M.L.C.); (A.M.E.)
| | - Tatyana A. Lipilkina
- Faculty of Bioengineering and Veterinary Medicine and Center for Agrobiotechnology, Don State Technical University, 344000 Rostov-on-Don, Russia; (I.V.P.); (A.A.K.); (T.A.L.); (T.N.D.); (M.L.C.); (A.M.E.)
| | - Tatyana N. Derezina
- Faculty of Bioengineering and Veterinary Medicine and Center for Agrobiotechnology, Don State Technical University, 344000 Rostov-on-Don, Russia; (I.V.P.); (A.A.K.); (T.A.L.); (T.N.D.); (M.L.C.); (A.M.E.)
| | - Michael L. Chikindas
- Faculty of Bioengineering and Veterinary Medicine and Center for Agrobiotechnology, Don State Technical University, 344000 Rostov-on-Don, Russia; (I.V.P.); (A.A.K.); (T.A.L.); (T.N.D.); (M.L.C.); (A.M.E.)
- Health Promoting Naturals Laboratory, School of Environmental and Biological Sciences, Rutgers State University, New Brunswick, NJ 08901, USA
- Department of General Hygiene, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia
| | - Koen Venema
- Centre for Healthy Eating & Food Innovation (HEFI), Maastricht University Campus Venlo, 5928 SZ Venlo, The Netherlands;
| | - Alexey M. Ermakov
- Faculty of Bioengineering and Veterinary Medicine and Center for Agrobiotechnology, Don State Technical University, 344000 Rostov-on-Don, Russia; (I.V.P.); (A.A.K.); (T.A.L.); (T.N.D.); (M.L.C.); (A.M.E.)
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6
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Power ML, Ransome RD, Riquier S, Romaine L, Jones G, Teeling EC. Hibernation telomere dynamics in a shifting climate: insights from wild greater horseshoe bats. Proc Biol Sci 2023; 290:20231589. [PMID: 37817598 PMCID: PMC10565397 DOI: 10.1098/rspb.2023.1589] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 09/10/2023] [Indexed: 10/12/2023] Open
Abstract
Hibernation is linked with various hypotheses to explain the extended lifespan of hibernating mammals compared with their non-hibernating counterparts. Studies on telomeres, markers of ageing and somatic maintenance, suggest telomere shortening slows during hibernation, and lengthening may reflect self-maintenance with favourable conditions. Bats in temperate zones adjust body temperatures during winter torpor to conserve energy and exploit mild conditions for foraging. Climate change may impact the hibernation cycle of bats, but more research is needed regarding the role of telomeres in understanding their response to a changing climate. Here, relative telomere length (rTL) was measured in the long-lived greater horseshoe bat Rhinolophus ferrumequinum (n = 223 individuals) over three winters, considering climatic conditions. Cross-sectional analyses revealed between-individual variation in rTL with a strong year effect, likely linked to varying weather conditions and foraging success. Additionally, within-individual increases of rTL occurred in 51% of consecutive measurements, with evidence of increasing telomerase expression during hibernation in this species. These findings highlight the beneficial effects of hibernation on telomeres and potential consequences of changing climatic conditions for long-lived temperate bats. Understanding the interplay between hibernation, telomeres, and climate can provide insights into the adaptive capacity and survival of bat populations facing environmental challenges.
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Affiliation(s)
- Megan L Power
- School of Biology and Environmental Science, Science Centre West, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Roger D Ransome
- School of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol BS8 1TQ, UK
| | - Sébastien Riquier
- School of Biology and Environmental Science, Science Centre West, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Luke Romaine
- School of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol BS8 1TQ, UK
| | - Gareth Jones
- School of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol BS8 1TQ, UK
| | - Emma C Teeling
- School of Biology and Environmental Science, Science Centre West, University College Dublin, Belfield, Dublin 4, Republic of Ireland
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Sullivan IR, Adams DM, Greville LJS, Faure PA, Wilkinson GS. Big brown bats experience slower epigenetic ageing during hibernation. Proc Biol Sci 2022; 289:20220635. [PMID: 35946154 PMCID: PMC9364000 DOI: 10.1098/rspb.2022.0635] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Comparative analyses of bats indicate that hibernation is associated with increased longevity among species. However, it is not yet known if hibernation affects biological ageing of individuals. Here, we use DNA methylation (DNAm) as an epigenetic biomarker of ageing to determine the effect of hibernation on the big brown bat, Eptesicus fuscus. First, we compare epigenetic age, as predicted by a multi-species epigenetic clock, between hibernating and non-hibernating animals and find that hibernation is associated with epigenetic age. Second, we identify genomic sites that exhibit hibernation-associated change in DNAm, independent of age, by comparing samples taken from the same individual in hibernating and active seasons. This paired comparison identified over 3000 differentially methylated positions (DMPs) in the genome. Genome-wide association comparisons to tissue-specific functional elements reveals that DMPs with elevated DNAm during winter occur at sites enriched for quiescent chromatin states, whereas DMPs with reduced DNAm during winter occur at sites enriched for transcription enhancers. Furthermore, genes nearest DMPs are involved in regulation of metabolic processes and innate immunity. Finally, significant overlap exists between genes nearest hibernation DMPs and genes nearest previously identified longevity DMPs. Taken together, these results are consistent with hibernation influencing ageing and longevity in bats.
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Affiliation(s)
- Isabel R. Sullivan
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Danielle M. Adams
- Department of Biology, University of Maryland, College Park, MD 20742, USA,Department of Biological Sciences, Towson University, Towson, MD 21252, USA
| | - Lucas J. S. Greville
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada L8S 4K1,Department of Biology, University of Waterloo, Waterloo, ON, Canada N3 L 3G1
| | - Paul A. Faure
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada L8S 4K1
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