We previously reported that in a eusocial rodent, the naked mole-rat (Heterocephalus glaber), traditional neural sex differences were absent; instead, neural dimorphisms were associated with breeding status. Here we examined the same neural regions previously studied in naked mole-rats in a second eusocial species, the Damaraland mole-rat (Fukomys damarensis). Damaraland mole-rats live in social groups with breeding restricted to a small number of animals. However, colony sizes are much smaller in Damaraland mole-rats than in naked mole-rats and there is consequently less reproductive skew. In this sense, Damaraland mole-rats may be considered intermediate in social organization between naked mole-rats and more traditional laboratory rodents. We report that, as in naked mole-rats, breeding Damaraland mole-rats have larger volumes of the principal nucleus of the bed nucleus of the stria terminalis and paraventricular nucleus of the hypothalamus than do subordinates, with no effect of sex on these measures. Thus, these structures may play special roles in breeders of eusocial species. However, in contrast to what was seen in naked mole-rats, we also found sex differences in Damaraland mole-rats: volume of the medial amygdala and motoneuron number in Onuf's nucleus were both greater in males than in females, with no significant effect of breeding status. Thus, both sex and breeding status influence neural morphology in Damaraland mole-rats. These findings are in accord with the observed sex differences in body weight and genitalia in Damaraland but not naked mole-rats. We hypothesize that the increased sexual dimorphism in Damaraland mole-rats relative to naked mole-rats is related to reduced reproductive skew.
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http://dx.doi.org/10.1159/000328640 | DOI Listing |
Geroscience
December 2024
Department of Aging and Longevity Research, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan.
The Damaraland mole-rat (DMR; Fukomys damarensis) is a long-lived (~ 20 years) Bathyergid rodent that diverged 26 million years ago from its close relative, the naked mole-rat (NMR). While the properties of NMR cultured fibroblasts have been extensively studied and have revealed several unusual features of this cancer-resistant, long-lived species, comparative DMR studies are extremely limited. We optimized conditions for successfully culturing primary DMR skin fibroblasts and also established immortalized DMR cells using simian virus 40 early region expression.
View Article and Find Full Text PDFBiol Lett
October 2024
Department of Zoology, University of Cambridge, Cambridge, UK.
Mating between closely related individuals can result in a reduction in offspring fitness, known as inbreeding depression. Here, we investigate whether breeding with close relatives affects the reproductive output of parents and the development of their offspring in Damaraland mole-rats (), a cooperatively breeding species where females avoid mating with familiar individuals. By cross-fostering litters of pups soon after birth, we were able to form breeding pairs from full siblings that were reared apart.
View Article and Find Full Text PDFProc Biol Sci
October 2024
Department of Zoology, University of Cambridge, Cambridge, UK.
Across taxa, breeding among close relatives is usually avoided because it incurs fitness costs to offspring. Incest is often averted through the dispersal of either sex from the natal area to breed. In some philopatric species, association among relatives extends into adulthood, and an ability to discriminate kin may be required for individuals to reduce inbreeding risk.
View Article and Find Full Text PDFJ Am Assoc Lab Anim Sci
November 2024
3Biologic Resources Laboratory, University of Illinois, Chicago, Illinois.
Mov Ecol
June 2024
School of Zoology, Faculty of Life Sciences, and the Steinhardt Museum of Natural History, Tel Aviv University, Tel Aviv, Israel.
The application of supervised machine learning methods to identify behavioural modes from inertial measurements of bio-loggers has become a standard tool in behavioural ecology. Several design choices can affect the accuracy of identifying the behavioural modes. One such choice is the inclusion or exclusion of segments consisting of more than a single behaviour (mixed segments) in the machine learning model training data.
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