Spatial patterns of relatedness within nesting aggregations of the primitively eusocial sweat bee Lasioglossum malachurum
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Limited natal dispersal can lead to marked spatial genetic structure, which potentially provides benefits to individuals through kin cooperation but also costs through kin competition. We often lack information on the spatial genetic structure of natural populations at a fine enough spatial scale to understand whether relatives nest close enough to interact. The primitively eusocial halictid bee Lasioglossum malachurum forms conspicuous nesting aggregations comprising up to thousands of nests. We test for spatial genetic structure in this species by genotyping one worker per nest from four discrete nesting aggregations around Tübingen, Germany, at 14 microsatellite loci. Genotypes were spatially autocorrelated at a very fine scale (<60 cm) within an aggregation for three of four aggregations, though genetic differentiation was non-existent or limited at coarser spatial scales between local or distant aggregations, respectively. Our results suggest that L. malachurum gynes often exhibit extremely limited natal dispersal, possibly because of the benefits of philopatry and kin cooperation or the avoidance of dispersal costs.
KeywordsHalictidae Genetic structure Microsatellite Autocorrelation Hymenoptera
We thank Claudia Mohra and Martin Fellendorf for collecting bees at Schützingen and Robin Moritz, Petra Leibe, and Michael Lattorff for providing laboratory equipment, technical assistance, and helpful discussion. We also thank the group of General Zoology at Martin-Luther University Halle-Wittenberg for discussion and support, and the two anonymous reviewers and the Editor, Miriam Richards, for constructive comments that helped improve the manuscript. Bees were collected under Permit No. 56-6/8852.15 from the Regierungspräsidium Tübingen to RJP.
- Bonte D, van Dyck H, Bullock JM, Coulon A, Delgado M, Gibbs M, Lehouck V, Matthysen E, Mustin K, Saastamoinen M, Schtickzelle N, Stevens VM, Vandewoestijne S, Baguette M, Barton K, Benton TG, Chaput-Bardy A, Clobert J, Dytham C, Hovestadt T, Meier CM, Palmer SCF, Turlure C, Travis JMJ (2012) Costs of dispersal. Biol Rev Camb Philos Soc 87(2):290–312. doi: 10.1111/j.1469-185X.2011.00201.x CrossRefPubMedGoogle Scholar
- Hartl DL, Clark AG (2007) Principles of population genetics, 4th edn. Sinauer Associates, SunderlandGoogle Scholar
- Knerer G (1992) The biology and social behaviour of Evylaeus malachurus (K.) (Hymenoptera; Halictidae) in different climatic regions of Europe. Zool Jb Syst 119:261–290Google Scholar
- Packer L, Knerer G (1985) Social evolution and its correlates in bees of the subgenus Evylaeus (Hymenoptera; Halictidae). Behav Ecol Sociobiol 17(2):143–149Google Scholar
- Polidori C, Rubichi A, Barbieri V, Trombino L, Donegana M (2010) Floral resources and nesting requirements of the ground-nesting social bee, Lasioglossum malachurum (Hymenoptera: Halictidae), in a Mediterranean semiagricultural landscape. Psyche J Entomol 2010(6745):1–11. doi: 10.1155/2010/851947 Google Scholar
- QGIS Development Team (2009) QGIS Geographic Information System. Open Source Geospatial Foundation. http://qgis.osgeo.org. Accessed 2014
- R Development Core Team (2008). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
- Soro A, Paxton RJ (2009) Characterization of 14 polymorphic microsatellite loci for the facultatively eusocial sweat bee Halictus rubicundus (Hymenoptera, Halictidae) and their variability in related species. Mol Ecol Resour 9(1):150–152. doi: 10.1111/j.1755-0998.2008.02416.x CrossRefPubMedGoogle Scholar
- Waldman B, McKinnon J (1993) Inbreeding and outbreeding in fishes, amphibians, and reptiles. The natural history of inbreeding and outbreeding: theoretical and empirical perspectives. University of Chicago Press, Chicago, 250–282Google Scholar