UMR 6553, ECOBIO Campus de Beaulieu, Université Rennes 1, Rennes Cedex, France.
Laboratoire Ecologie, Systématique & Evolution, UMR 8079 - Université Paris-Sud/CNRS/AgroParisTech, Université Paris-Saclay, Orsay Cedex, France.
Mol Ecol Resour. 2018 Mar;18(2):217-228. doi: 10.1111/1755-0998.12727. Epub 2017 Nov 28.
Monitoring wild populations is crucial for their effective management. Noninvasive genetic methods provide robust data from individual free-ranging animals, which can be used in capture-mark-recapture (CMR) models to estimate demographic parameters without capturing or disturbing them. However, sex- and status-specific behaviour, which may lead to differences in detection probabilities, is rarely considered in monitoring. Here, we investigated population size, sex ratio, sex- and status-related behaviour in 19 Rhinolophus hipposideros maternity colonies (Northern France) with a noninvasive genetic CMR approach (using faeces) combined with parentage assignments. The use of the DDX3X/Y-Mam sexual marker designed in this study, which shows inter- and intrachromosomal length polymorphism across placental mammals, together with eight polymorphic microsatellite markers, produced high-quality genetic data with limited genotyping errors and allowed us to reliably distinguish different categories of individuals (males, reproductive and nonreproductive females) and to estimate population sizes. We showed that visual counts represent well-adult female numbers and that population composition in maternity colonies changes dynamically during the summer. Before parturition, colonies mainly harbour pregnant and nonpregnant females with a few visiting males, whereas after parturition, colonies are mainly composed of mothers and their offspring with a few visiting nonmothers and males. Our approach gives deeper insight into sex- and status-specific behaviour, a prerequisite for understanding population dynamics and developing effective monitoring and management strategies. Provided sufficient samples can be obtained, this approach can be readily applied to a wide range of species.
监测野生种群对于它们的有效管理至关重要。非侵入性遗传方法可从自由放养的个体动物中提供可靠的数据,这些数据可用于捕获-标记-重捕(CMR)模型中,在不捕获或干扰它们的情况下估计人口参数。然而,很少考虑到性别和地位特异性行为,这些行为可能导致检测概率的差异。在这里,我们使用非侵入性遗传 CMR 方法(使用粪便)结合亲子关系分析,调查了 19 个马蹄蝠(Northern France)的生育群体的种群规模、性别比例、性别和地位相关行为。使用本研究设计的 DDX3X/Y-Mam 性标记,该标记在胎盘哺乳动物中显示出染色体间和染色体内长度多态性,以及 8 个多态微卫星标记,产生了高质量的遗传数据,基因分型错误有限,使我们能够可靠地区分不同类别的个体(雄性、有繁殖能力和无繁殖能力的雌性)并估计种群规模。我们表明,视觉计数很好地代表了成年雌性数量,并且生育群体的组成在夏季会动态变化。在分娩前,群体主要由怀孕和未怀孕的雌性以及少量来访的雄性组成,而在分娩后,群体主要由母亲及其后代以及少量来访的非母亲和雄性组成。我们的方法深入了解了性别和地位特异性行为,这是了解种群动态和制定有效监测和管理策略的前提。只要能够获得足够的样本,这种方法就可以很容易地应用于广泛的物种。