Fragmentation in the clouds? The population genetics of the native bee Partamona bilineata (Hymenoptera: Apidae: Meliponini) in the cloud forests of Guatemala

• Published in: Conservation genetics 2017-06, Vol.18 (3), p.631-643
• Main Authors: Landaverde-González, Patricia, Enríquez, Eunice, Ariza, María A., Murray, Tomás, Paxton, Robert J., Husemann, Martin
• Format: Article
• Language: English
• Subjects: Animal Genetics and Genomics; Bees; Biodiversity; Biomedical and Life Sciences; Cloud forests; Clouds; Colonies; Conservation Biology/Ecology; Demographics; Demography; Deoxyribonucleic acid; Differentiation; Dispersal; DNA; Ecology; Environmental changes; Evolutionary Biology; Forests; Fragmentation; Gene flow; Genetic diversity; Genetic structure; Genetics; Habitat fragmentation; Land use; Life Sciences; Mathematical models; Microsatellites; Migration; Mitochondrial DNA; Natural populations; Plant Genetics and Genomics; Pollination; Population; Population (statistical); Population genetics; Research Article; Resilience; Statistical models
• ISSN: 1566-0621; 1572-9737
• DOI: 10.1007/s10592-017-0950-x

Habitat fragmentation and loss are important drivers of genetic differentiation, often leading to a decrease in genetic diversity. Yet, natural populations of tropical bees often show a lack of differentiation, even in fragmented landscapes, suggesting resilience to deal with unfavourable land use. It is not clear what leads to this lack of differentiation, but large population sizes, high rates of dispersal and stable demography likely play important roles. Here, we investigate the population genetic structure and infer the present and historic demography of the eusocial stingless bee Partamona bilineata from tropical montane cloud forests in Guatemala. We used microsatellites and mitochondrial DNA to test for genetic differentiation, to infer migration rates, and to evaluate the effects of landscape. We also used demographic modelling to trace population sizes over time. We found that six populations of P. bilineata exhibited only subtle differentiation, with the exception of one site at the edge of the cloud forest, which was clearly distinct from all others. Effective population sizes (number of colonies) appeared to be rather small (18 ± 6 colonies) compared to the original sample size (N = 51 ± 9), but stable over time, and inferred rates of gene flow were low; yet, no genetic bottleneck was detected. A statistical model including elevation was the best in explaining the observed pattern of differentiation. We find that P. bilineata does not exhibit strong genetic structure, making it a resilient species for provision of pollination services. But, at the same time, our data point to the potential vulnerability of this and similar species, as effective population sizes appear to be low and hence populations may be easily affected by future environmental change. As such, P. bilineata may be representative of many other tropical stingless bees, for which lack of differentiation has been invoked.