63urn:lsid:arphahub.com:pub:0E0032F4-55AE-5263-8B3C-F4DD637C30C2Biodiversity Information Science and StandardsBISS2535-0897Pensoft Publishers10.3897/biss.3.364243642411567Conference AbstractPS - PosterPhylogenetics Study of Salvia L. spp. Collections from the Botanical Garden of Medicinal Plants of Wroclaw Medical UniversityPencakowskiBartoszbartosz.pencakowski@umed.wroc.plhttps://orcid.org/0000-0002-6166-04541BieleckaMonika1StafiniakMarta1JakubowskiKlemens2MatkowskiAdam3Department of Pharmaceutical Biotechnology, Wrocław Medical University, Wroclaw, PolandDepartment of Pharmaceutical Biotechnology, Wrocław Medical UniversityWroclawPolandBotanical Garden of Medicinal Plants, Wroclaw Medical University, Wroclaw, PolandBotanical Garden of Medicinal Plants, Wroclaw Medical UniversityWroclawPolandDepartment of Biology and Pharmaceutical Botany, Wroclaw Medical University, Wroclaw, PolandDepartment of Biology and Pharmaceutical Botany, Wroclaw Medical UniversityWroclawPoland
2019180620193e3642475EE6C1C-8B49-56B5-8124-08C508BF50F5325678322052019Bartosz Pencakowski, Monika Bielecka, Marta Stafiniak, Klemens Jakubowski, Adam MatkowskiThis is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Systematics of genus Salvia L. is still a field of discussion in taxonomic society. To this day, the position of certain genera from Lamiaceae Martinov. family are considered as autonomic genera or incorporated in the genus Salvia L. as a subgenera (i.e., Perovskia Kar., Rosmarinus L.). Moreover, some species are distinguished only by low-level differences in morphological traits and their geographic occurrence (Drew et al. 2017).
In this research, we focused on a molecular analysis of morphologically similar Salvia L. species with special attention paid to Salvia glutinosa L. and Salvia nubicola Wall. ex Sweet. All samples were collected from the Botanical Garden of Medicinal Plants of Wroclaw Medical University (http://www.obrl.umed.wroc.pl/index.html) and the Herbarium of Natural History Museum, Wroclaw University (http://www.muzeum-przyrodnicze.uni.wroc.pl/index.php).
Several DNA barcodes, including matK, rbcLa, ITS2 genes, and psbA-trnH intergenic spacer, were used in maximal likelihood and Bayesian inference analyses. All sequences were amplified with Q5 High Fidelity DNA Polymerase (https://www.neb.com/) and universal primers. Amplicons were then sequenced by Sanger sequencing and analysed using the BLAST algorithm (Altschul et al. 1990). Subsequently, sequences were aligned using MAFFT v 7.409 (Katoh et al. 2005) software; poorly aligned sites were objectively eliminated with Gblocks v.0.91b (Talavera and Castresana 2007). ITS2 regions were extracted with ITSx (Bengtsson-Palme et al. 2013) software implemented on PlutoF web workbench (Abarenkov et al. 2010) to obtain ITS2 sequences without 5.8S and 26S fragments on both ends. Substitution models were identified utilizing jModelTest 2 software (Posada 2008) and basing on Bayesian information criterion (BIC) appropriate models were applied for further calculations. For maximum likelihood analyses and Bayesian inference, we implemented RAxML ver. 8.2.10 (Stamatakis et al. 2008) and MrBayes ver. 3.2.2 (Ronquist et al. 2012) respectively.
For the reconstruction of evolutionary relationship between study species, different DNA barcode combinations were applied (e.g., matK+ITS2+psbA-trnH and rbcLa+matK+ psbA-trnH). Consensus trees were compared and analysed using TreeGraph ver. 2.14 (Stöver and Müller 2010).
DNA barcodingSalviaphylogenetics2019Biodiversity_NextBiodiversity_Next 2019Leiden, The NetherlandsA joint conference by The Global Biodiversity Information Facility (GBIF), a new pan-European Research Infrastructure initiative (DiSSCo), the national resource for digitized information about vouchered natural history collections (iDigBio), Consortium of European Taxonomic Facilities (CETAF), Biodiversity Information Standards (TDWG) and LifeWatch ERIC, the e-Science and Technology European Infrastructure for Biodiversity and Ecosystem Research.Presenting author
Bartosz Pencakowski
Presented at
Biodiversity_Next 2019
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