Validation of non-invasive hormone analysis techniques to assist in the future identification of maternal roosts of ghost bats (Macroderma gigas)

• Published in: Theriogenology Wild (Online) Vol. 3; p. 100060
• Main Authors: Keeley, Tamara, O'Connell, Morgan, Kelman, Leanne, Laming, Belinda, Knuckey, Chris
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 2023; Elsevier
• Subjects: Bat; Feces; Pregnancy; Progesterone; Pregnancy; Progesterone; Feces; Bat
• ISSN: 2773-093X; 2773-093X
• DOI: 10.1016/j.therwi.2023.100060

The ghost bat (Macroderma gigas) is the largest microbat in Australia and occupies a large but contracting range. The ghost bat is listed as Vulnerable with a decreasing population trend by the IUCN Red List of Threatened Species. They occupy caves, disused mine adits and rock crevices as daytime roosts but distinguishing which are preferred as maternal roosts is challenging as sampling is difficult, and bats are easily disturbed while roosting. Identification of maternal roosts is a priority for conservation and management purposes, and therefore non-invasive hormone analysis was investigated as a potential tool for the future identification of the cave preferences of pregnant individuals. To validate fecal progesterone metabolite analysis techniques, fecal samples were collected from group housed female ghost bats at Perth Zoo between October and January, during the expected parturition period, over three years. Fecal samples were weighed (0.025 g), extracted with 2.5 ml of 80% methanol and analyzed for progesterone metabolite levels by enzyme-immunoassay. Significant elevations in fecal progesterone metabolite levels were detected in a subset of samples collected from co-housed females prior to parturition but not after, providing biological validation of the hormone analysis techniques. Over the three years, four pups were born with birth dates ranging from early November to late December. The mean fecal progesterone metabolite levels of non-pregnant females was significantly lower than those of pregnant females (206.5 ± 102.9 ng/g and 7003.6 ± 6078.0 ng/g respectively). These techniques can be used to monitor and evaluate the reproductive health of ghost bat populations over time and help identify factors influencing maternity roost fidelity. This data will provide valuable information for the conservation and management of the ghost bat and has the potential to be applied to other bat species.