Produção Nacional
Revisado por pares
Coastal-inland divergence and postglacial expansion in the populations of the orchid bee Euglossa annectans
2023; Taylor & Francis; Linguagem: Inglês
10.1080/00218839.2023.2229978
ISSN2078-6913
AutoresWilson Frantine‐Silva, Douglas Caldeira Giangarelli, Guaraci Duran Cordeiro, Isabel Alves‐dos‐Santos, Maria Cristina Gaglianone, Silvia Helena Sofia,
Tópico(s)Species Distribution and Climate Change
ResumoAbstractBiogeographic patterns in the southernmost portion of the Atlantic Forest (AF) are still elusive for a high number of endemic species where the main phylogeographic hypothesis in AF (e.g., CM model or AF expansion) fails to predict refuges during the Last Glacial Maximum (LGM). Euglossa annectans is an orchid bee species endemic to AF, distributed throughout the longitudinal edges of the southern portions of this biome. Combining ecological niche modelling and genetic analysis, we investigated whether the Pleistocene climate fluctuations played some role in the population structure of this species. We analysed 640 bp of the Cytb gene and eight microsatellite loci from males sampled from twelve localities along E. annectans distribution. Microsatellite markers indicated two main groups with a disjunction between inland and coastal areas. Although mitochondrial data showed no spatial structure, we found signals of a bottleneck followed by population expansion after the LGM. Pleistocene climatic models revealed a fragmented scenario with suitable areas concentrated at the coastal continental shelf and the northern-west inland areas, both in line with the genetic nuclear markers’ structure and synchronic with the mitochondrial bottleneck at the LGM. The climatic instability along the Pleistocene has played a central role in determining the phylogeographic and demographic patterns of the E. annectans, resulting in a genetic structure reported for the first time in this area.Keywords: EuglossiniphylogeographyQuaternaryecological niche modellingmitochondrial DNAmicrosatellites AcknowledgmentsWe are grateful to Enderley Dec for the donation of several specimens; Instituto Chico Mendes (MMA-Brazil), Instituto Ambiental do Paraná (IAP) and IF-São Paulo for the collecting permits.Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementData from Cytb gene are available in the NCBI GenBank (MT109653—MT109660) and the microsatellite data is available in Mendeley Data repository under the DOI: 10.17632/7zskzcd24p.1.Additional informationFundingThis study was financed by CNPq, Fundação Araucária and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code [001]. WFS thanks CAPES for both the PhD scholarship and PNPD fellowship. MCG thanks to FAPERJ [203.321/2017] for financial support. SHS [305343/2018-1], IAS [314563/2021-0] and MCG [303894/2018-0] thanks to CNPq for their fellowships.
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