Apidologie

, Volume 49, Issue 2, pp 151–161 | Cite as

Morphological similarity of widely separated populations of two Euglossini (Hymenoptera; Apidae) species based on geometric morphometrics of wings

  • Marina Lopes Grassi-Sella
  • Carlos Alberto Garófalo
  • Tiago Mauricio Francoy
Original article
  • 135 Downloads

Abstract

Euglossini bees are able to fly long distances, which could help to maintain gene flow among widely separated populations. In order to investigate if different environmental conditions affect morphological variation in Euglossa annectans and Euglossa truncata, we analyzed the patterns of venation of the forewings of 310 individuals, sampled in the same six locations for the two species. Populations from the two species clustered in a similar way, following the phytophysiognomy of the sampling sites. These populations also presented little or no population structure. Based on our results, we suggest that the forest fragmentation is not a problem for these species. The tendency of samples to group based on site phytophysiognomy can be explained by phenotypic plasticity or local adaptations.

Keywords

Euglossini orchid bees geometric morphometrics forest fragmentation 

Notes

Acknowledgements

The authors are grateful to FAPESP (Proc. 2011/07857-9 to TMF) and NAP BioComp (University of São Paulo) for financial support. Dr. David de Jong helped us to improve the English of the manuscript.

Contributions

MLGS, CAG, and TMF conceived the research and designed experiments; MLGS performed the analysis; MLGS, CAG, and TMF wrote the paper and participated in the revisions of it.

Supplementary material

13592_2017_536_Fig6_ESM.gif (100 kb)
Supplementary Figure S1

Scatterplot of Euglossa annectans individual scores from the canonical variant analysis of landmarks. See legend to Figure 1 for abbreviations. (GIF 99 kb)

13592_2017_536_MOESM1_ESM.tif (181 kb)
High resolution image (TIFF 180 kb)
13592_2017_536_MOESM2_ESM.png (74 kb)
Supplementary Figure S2 Scatterplot of Euglossa truncata individual scores from the canonical variant analysis of landmarks. See legend to Figure 1 for abbreviations. (PNG 73 kb)

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Copyright information

© INRA, DIB and Springer-Verlag France SAS 2017

Authors and Affiliations

  1. 1.Departamento de Genética, Faculdade de Medicina de Ribeirão PretoUniversidade de São PauloSão PauloBrazil
  2. 2.Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão PretoUniversidade de São PauloSão PauloBrazil
  3. 3.Escola de Artes, Ciências e HumanidadesUniversidade de São PauloSão PauloBrazil

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