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Mogi K, Akiyama U, Futagawa N, Tamura K, Kamiya M, Mizuta M, Yamaoka M, Kamimura I, Kuze-Arata S, Kikusui T. Intergenerational transmission of maternal behavioral traits in mice: involvement of the gut microbiota. Front Neurosci 2024; 17:1302841. [PMID: 38260015 PMCID: PMC10800389 DOI: 10.3389/fnins.2023.1302841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/13/2023] [Indexed: 01/24/2024] Open
Abstract
The matrilineal transmission of maternal behavior has been reported in several species. Studies, primarily on rats, have suggested the importance of postnatal experience and the involvement of epigenetic mechanisms in mediating these transmissions. This study aims to determine whether the matrilineal transmission of maternal behavior occurs in mice and whether the microbiota is involved. We first observed that early weaned (EW) female mice showed lower levels of maternal behavior, particularly licking/grooming (LG) of their own pups, than normally weaned (NW) female mice. This difference in maternal behavioral traits was also observed in the second generation, even though all mice were weaned normally. In the subsequent cross-fostering experiment, the levels of LG were influenced by the nurturing mother but not the biological mother. Finally, we transplanted the fecal microbiota from EW or NW mice into germ-free (GF) mice raising pups. The maternal behaviors that the pups exhibited toward their own offspring after growth were analyzed, and the levels of LG in GF mice colonized with microbiota from EW mice were lower than those in GF mice colonized with microbiota from NW mice. These results clearly indicate that, among maternal behavioral traits, LG is intergenerationally transmitted in mice and suggest that the vertical transmission of microbiota is involved in this process. This study demonstrates the universality of the intergenerational transmission of maternal behavioral traits and provides new insights into the role of microbiota.
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Affiliation(s)
- Kazutaka Mogi
- Department of Animal Science and Biotechnology, Azabu University, Sagamihara, Japan
| | | | | | | | | | | | | | | | | | - Takefumi Kikusui
- Department of Animal Science and Biotechnology, Azabu University, Sagamihara, Japan
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Cruz KLO, Salla DH, Oliveira MP, Silva LE, Vedova LMD, Mendes TF, Bressan CBC, Silva MR, Santos SML, Soares HJ, Mendes RL, Vernke CN, Silva MG, Laurentino AOM, Medeiros FD, Vilela TC, Lemos I, Bitencourt RM, Réus GZ, Streck EL, Mello AH, Rezin GT. Energy metabolism and behavioral parameters in female mice subjected to obesity and offspring deprivation stress. Behav Brain Res 2023; 451:114526. [PMID: 37271313 DOI: 10.1016/j.bbr.2023.114526] [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: 03/03/2023] [Revised: 05/20/2023] [Accepted: 06/01/2023] [Indexed: 06/06/2023]
Abstract
This study aimed to evaluate the behavioral and energy metabolism parameters in female mice subjected to obesity and offspring deprivation (OD) stress. Eighty female Swiss mice, 40 days old, were weighed and divided into two groups: Control group (control diet, n = 40) and Obese group (high-fat diet, n = 40), for induction of the animal model of obesity, the protocol was based on the consumption of a high-fat diet and lasted 8 weeks. Subsequently, the females were subjected to pregnancy, after the birth of the offspring, were divided again into the following groups (n = 20): Control non-deprived (ND), Control + OD, Obese ND, and Obese + OD, for induction of the stress protocol by OD. After the offspring were 21 days old, weaning was performed and the dams were subjected to behavioral tests. The animals were humanely sacrificed, the brain was removed, and brain structures were isolated to assess energy metabolism. Both obesity and OD led to anhedonia in the dams. It was shown that the structures most affected by obesity and OD are the hypothalamus and hippocampus, as evidenced by the mitochondrial dysfunction found in these structures. When analyzing the groups separately, it was observed that OD led to more pronounced mitochondrial damage; however, the association of obesity with OD, as well as obesity alone, also generated damage. Thus, it is concluded that obesity and OD lead to anhedonia in animals and to mitochondrial dysfunction in the hypothalamus and hippocampus, which may lead to losses in feeding control and cognition of the dams.
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Affiliation(s)
- Kenia L O Cruz
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Daniele H Salla
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Mariana P Oliveira
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Larissa E Silva
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil.
| | - Larissa M D Vedova
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Talita F Mendes
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Catarina B C Bressan
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Mariella R Silva
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Sheila M L Santos
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Hevylin J Soares
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Rayane L Mendes
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Camila N Vernke
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Marina G Silva
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Ana O M Laurentino
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Fabiana D Medeiros
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Thais C Vilela
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Isabela Lemos
- Laboratory of Experimental Neurology, Postgraduate Program in Health Sciences, University of the Extreme South of Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Rafael M Bitencourt
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
| | - Gislaine Z Réus
- Translational Psychiatry Laboratory, Postgraduate Program in Health Sciences, University of the Extreme South of Santa Catarina (UNESC), Criciúma, Brazil
| | - Emilio L Streck
- Laboratory of Experimental Neurology, Postgraduate Program in Health Sciences, University of the Extreme South of Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Aline H Mello
- Department of Pediatrics, The University of Texas Medical Branch, Galveston, TX, USA
| | - Gislaine T Rezin
- Laboratory of Neurobiology of Inflammatory and Metabolic Processes, Postgraduate Program in Health Sciences, University of South Santa Catarina (UNISUL), Tubarão, Brazil
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Royauté R, Wilson ES, Helm BR, Mallinger RE, Prasifka J, Greenlee KJ, Bowsher JH. Phenotypic integration in an extended phenotype: among-individual variation in nest-building traits of the alfalfa leafcutting bee (Megachile rotundata). J Evol Biol 2018; 31:944-956. [PMID: 29499106 DOI: 10.1111/jeb.13259] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 02/02/2018] [Accepted: 02/23/2018] [Indexed: 11/28/2022]
Abstract
Structures such as nests and burrows are an essential component of many organisms' life-cycle and require a complex sequence of behaviours. Because behaviours can vary consistently among individuals and be correlated with one another, we hypothesized that these structures would (1) show evidence of among-individual variation, (2) be organized into distinct functional modules and (3) show evidence of trade-offs among functional modules due to limits on energy budgets. We tested these hypotheses using the alfalfa leafcutting bee, Megachile rotundata, a solitary bee and important crop pollinator. Megachile rotundata constructs complex nests by gathering leaf materials to form a linear series of cells in pre-existing cavities. In this study, we examined variation in the following nest construction traits: reproduction (number of cells per nest and nest length), nest protection (cap length and number of leaves per cap), cell construction (cell size and number of leaves per cell) and cell provisioning (cell mass) from 60 nests. We found a general decline in investment in cell construction and provisioning with each new cell built. In addition, we found evidence for both repeatability and plasticity in cell provisioning with little evidence for trade-offs among traits. Instead, most traits were positively, albeit weakly, correlated (r ~ 0.15), and traits were loosely organized into covarying modules. Our results show that individual differences in nest construction are detectable at a level similar to that of other behavioural traits and that these traits are only weakly integrated. This suggests that nest components are capable of independent evolutionary trajectories.
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Affiliation(s)
- Raphaël Royauté
- Biological Sciences, North Dakota State University, Fargo, ND, USA
| | | | - Bryan R Helm
- Biological Sciences, North Dakota State University, Fargo, ND, USA
| | - Rachel E Mallinger
- United States Department of Agriculture - Agricultural Research Service, Red River Valley Agricultural Research Center, Fargo, ND, USA
| | - Jarrad Prasifka
- United States Department of Agriculture - Agricultural Research Service, Red River Valley Agricultural Research Center, Fargo, ND, USA
| | | | - Julia H Bowsher
- Biological Sciences, North Dakota State University, Fargo, ND, USA
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Ponti G, Farinetti A, Marraudino M, Panzica G, Gotti S. Sex Steroids and Adult Neurogenesis in the Ventricular-Subventricular Zone. Front Endocrinol (Lausanne) 2018; 9:156. [PMID: 29686651 PMCID: PMC5900029 DOI: 10.3389/fendo.2018.00156] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Accepted: 03/22/2018] [Indexed: 12/28/2022] Open
Abstract
The forebrain ventricular-subventricular zone (V-SVZ) continuously generates new neurons throughout life. Neural stem cells (type B1 cells) along the lateral ventricle become activated, self-renew, and give rise to proliferating precursors which progress along the neurogenic lineage from intermediate progenitors (type C cells) to neuroblasts (type A cells). Neuroblasts proliferate and migrate into the olfactory bulb and differentiate into different interneuronal types. Multiple factors regulate each step of this process. Newly generated olfactory bulb interneurons are an important relay station in the olfactory circuits, controlling social recognition, reproductive behavior, and parental care. Those behaviors are strongly sexually dimorphic and changes throughout life from puberty through aging and in the reproductive age during estrous cycle and gestation. Despite the key role of sex hormones in regulating those behaviors, their contribution in modulating adult neurogenesis in V-SVZ is underestimated. Here, we compare the literature highlighting the sexual dimorphism and the differences across the physiological phases of the animal for the different cell types and steps through the neurogenic lineage.
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Affiliation(s)
- Giovanna Ponti
- Department of Veterinary Sciences, University of Turin, Grugliasco,Turin, Italy
- Neuroscience Institute Cavalieri Ottolenghi (NICO), Orbassano, Turin, Italy
- *Correspondence: Giovanna Ponti,
| | - Alice Farinetti
- Neuroscience Institute Cavalieri Ottolenghi (NICO), Orbassano, Turin, Italy
- Department of Neuroscience “Rita Levi-Montalcini”, University of Turin, Turin, Italy
| | - Marilena Marraudino
- Neuroscience Institute Cavalieri Ottolenghi (NICO), Orbassano, Turin, Italy
- Department of Neuroscience “Rita Levi-Montalcini”, University of Turin, Turin, Italy
| | - GianCarlo Panzica
- Neuroscience Institute Cavalieri Ottolenghi (NICO), Orbassano, Turin, Italy
- Department of Neuroscience “Rita Levi-Montalcini”, University of Turin, Turin, Italy
| | - Stefano Gotti
- Neuroscience Institute Cavalieri Ottolenghi (NICO), Orbassano, Turin, Italy
- Department of Neuroscience “Rita Levi-Montalcini”, University of Turin, Turin, Italy
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