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Koto A, Tamura M, Wong PS, Aburatani S, Privman E, Stoffel C, Crespi A, McKenzie SK, La Mendola C, Kay T, Keller L. Social isolation shortens lifespan through oxidative stress in ants. Nat Commun 2023; 14:5493. [PMID: 37758727 PMCID: PMC10533837 DOI: 10.1038/s41467-023-41140-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: 06/27/2022] [Accepted: 08/24/2023] [Indexed: 09/29/2023] Open
Abstract
Social isolation negatively affects health, induces detrimental behaviors, and shortens lifespan in social species. Little is known about the mechanisms underpinning these effects because model species are typically short-lived and non-social. Using colonies of the carpenter ant Camponotus fellah, we show that social isolation induces hyperactivity, alters space-use, and reduces lifespan via changes in the expression of genes with key roles in oxidation-reduction and an associated accumulation of reactive oxygen species. These physiological effects are localized to the fat body and oenocytes, which perform liver-like functions in insects. We use pharmacological manipulations to demonstrate that the oxidation-reduction pathway causally underpins the detrimental effects of social isolation on behavior and lifespan. These findings have important implications for our understanding of how social isolation affects behavior and lifespan in general.
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Affiliation(s)
- Akiko Koto
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, 305-8566, Ibaraki, Japan.
- Computational Bio Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, Tsukuba, 305-8566, Ibaraki, Japan.
| | - Makoto Tamura
- NeuroDiscovery Lab, Mitsubishi Tanabe Pharma America, Cambridge, MA, 02139, USA
| | - Pui Shan Wong
- Computational Bio Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, Tsukuba, 305-8566, Ibaraki, Japan
| | - Sachiyo Aburatani
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, 305-8566, Ibaraki, Japan
- Computational Bio Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, Tsukuba, 305-8566, Ibaraki, Japan
| | - Eyal Privman
- University of Haifa, Institute of Evolution, Department of Evolutionary and Environmental Biology, Haifa, 3498838, Israel
| | - Céline Stoffel
- University of Lausanne, Department of Ecology and Evolution, Lausanne, CH-1015, Switzerland
| | - Alessandro Crespi
- Biorobotics Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
| | - Sean Keane McKenzie
- University of Lausanne, Department of Ecology and Evolution, Lausanne, CH-1015, Switzerland
| | - Christine La Mendola
- University of Lausanne, Department of Ecology and Evolution, Lausanne, CH-1015, Switzerland
| | - Tomas Kay
- University of Lausanne, Department of Ecology and Evolution, Lausanne, CH-1015, Switzerland
| | - Laurent Keller
- University of Lausanne, Department of Ecology and Evolution, Lausanne, CH-1015, Switzerland.
- Social Evolution Unit, Cornuit 8, BP 855, Chesières, CH-1885, Switzerland.
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Chen Y, Zhang Y, Yang L, Chen W, Jiang Z, Xiao Z, Xie X, Zhong G, Yi X. Group housing enhances mating and increases the sensitization of chemical cues in Bactrocera dorsalis. PEST MANAGEMENT SCIENCE 2023; 79:391-401. [PMID: 36177942 DOI: 10.1002/ps.7208] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/22/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Changes in population density have profound impacts on mating behaviors in group-living animals. The plasticity of mating behavior enables insects to respond to social signals and adjust mating frequency in accordance with rival competition and reproductive opportunity. RESULTS In this study, we found that low levels of cis-vaccenyl acetate (cVA), a Drosophila pheromone, increased mating rates of Bactrocera dorsalis, but high concentrations of cVA inhibited mating, indicating a functional role of cVA in regulating mating behaviors in insect species other than Drosophila. Moreover, we demonstrated that group housing conditions had positive effects for B. dorsalis on their mating rates, responses toward cVA and cVA-mediated mating behaviors, which are dependent on the activity of c-AMP reponse element binding protein (CREB) binding protein (CBP). CONCLUSIONS Our data suggest that CBP-mediated plasticity in mating behavior and chemical recognition enables insects to adapt to different housing conditions and highlight the potential of cVA as an efficient agent in regulating mating behaviors in insect species other than Drosophila. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Yaoyao Chen
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
| | - Yuhua Zhang
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
| | - Liying Yang
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
| | - Wenlong Chen
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
| | - Zhiyan Jiang
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
| | - Ziwei Xiao
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
| | - Xin Xie
- School of Life Sciences, Shaoxing University, Zhejiang, China
| | - Guohua Zhong
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
| | - Xin Yi
- Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
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Zhang Z, Mu X, Cao Q, Shi Y, Hu X, Zheng H. Honeybee gut Lactobacillus modulates host learning and memory behaviors via regulating tryptophan metabolism. Nat Commun 2022; 13:2037. [PMID: 35440638 PMCID: PMC9018956 DOI: 10.1038/s41467-022-29760-0] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 03/29/2022] [Indexed: 02/07/2023] Open
Abstract
Honeybees are highly social insects with a rich behavioral repertoire and are a versatile model for neurobiological research. Their gut microbiota comprises a limited number of host-restricted bacterial phylotypes that are important for honeybee health. However, it remains unclear how specific gut members affect honeybee behaviors. Here, we find that antibiotic exposure disturbs the gut community and influences honeybee phenotypes under field conditions. Using laboratory-generated gnotobiotic bees, we show that a normal gut microbiota is required for olfactory learning and memory abilities. Brain transcriptomic profiling reveals distinct brain gene expression patterns between microbiota-free and conventional bees. Subsequent metabolomic analyses of both hemolymph and gut samples show that the microbiota mainly regulates tryptophan metabolism. Our results indicate that host-specific Lactobacillus strains promote memory behavior by transforming tryptophan to indole derivatives that activate the host aryl hydrocarbon receptor. Our findings highlight the contributions of specific gut members to honeybee neurological processes, thus providing a promising model to understand host-microbe interactions. Eusocial honeybee is a versatile model for neurobiological research. Here, the authors established a link between honeybee gut Lactobacillus in bee learning and memory ability via indole derivatives that activate host’s aryl hydrocarbon receptor.
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Affiliation(s)
- Zijing Zhang
- College of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China
| | - Xiaohuan Mu
- College of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China
| | - Qina Cao
- College of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China
| | - Yao Shi
- College of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China
| | - Xiaosong Hu
- College of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China
| | - Hao Zheng
- College of Food Science and Nutritional Engineering, China Agricultural University, 100083, Beijing, China.
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Naug D, Tait C. Slow-Fast Cognitive Phenotypes and Their Significance for Social Behavior: What Can We Learn From Honeybees? Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.766414] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Cognitive variation is proposed to be the fundamental underlying factor that drives behavioral variation, yet it is still to be fully integrated with the observed variation at other phenotypic levels that has recently been unified under the common pace-of-life framework. This cognitive and the resulting behavioral diversity is especially significant in the context of a social group, the performance of which is a collective outcome of this diversity. In this review, we argue about the utility of classifying cognitive traits along a slow-fast continuum in the larger context of the pace-of-life framework. Using Tinbergen’s explanatory framework for different levels of analyses and drawing from the large body of knowledge about honeybee behavior, we discuss the observed interindividual variation in cognitive traits and slow-fast cognitive phenotypes from an adaptive, evolutionary, mechanistic and developmental perspective. We discuss the challenges in this endeavor and suggest possible next steps in terms of methodological, statistical and theoretical approaches to move the field forward for an integrative understanding of how slow-fast cognitive differences, by influencing collective behavior, impact social evolution.
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