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      Floral Species Richness Correlates with Changes in the Nutritional Quality of Larval Diets in a Stingless Bee

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          Abstract

          Bees need food of appropriate nutritional quality to maintain their metabolic functions. They largely obtain all required nutrients from floral resources, i.e., pollen and nectar. However, the diversity, composition and nutritional quality of floral resources varies with the surrounding environment and can be strongly altered in human-impacted habitats. We investigated whether differences in plant species richness as found in the surrounding environment correlated with variation in the floral diversity and nutritional quality of larval provisions (i.e., mixtures of pollen, nectar and salivary secretions) composed by the mass-provisioning stingless bee Tetragonula carbonaria (Apidae: Meliponini). We found that the floral diversity of larval provisions increased with increasing plant species richness. The sucrose and fat (total fatty acid) content and the proportion and concentration of the omega-6 fatty acid linoleic acid decreased, whereas the proportion of the omega-3 fatty acid linolenic acid increased with increasing plant species richness. Protein (total amino acid) content and amino acid composition did not change. The protein to fat (P:F) ratio, known to affect bee foraging, increased on average by more than 40% from plantations to forests and gardens, while the omega-6:3 ratio, known to negatively affect cognitive performance, decreased with increasing plant species richness. Our results suggest that plant species richness may support T. carbonaria colonies by providing not only a continuous resource supply (as shown in a previous study), but also floral resources of high nutritional quality.

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          AMPLIFICATION AND DIRECT SEQUENCING OF FUNGAL RIBOSOMAL RNA GENES FOR PHYLOGENETICS

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            Proximate Causes and Underlying Driving Forces of Tropical Deforestation

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              Validation of the ITS2 Region as a Novel DNA Barcode for Identifying Medicinal Plant Species

              Background The plant working group of the Consortium for the Barcode of Life recommended the two-locus combination of rbcL + matK as the plant barcode, yet the combination was shown to successfully discriminate among 907 samples from 550 species at the species level with a probability of 72%. The group admits that the two-locus barcode is far from perfect due to the low identification rate, and the search is not over. Methodology/Principal Findings Here, we compared seven candidate DNA barcodes (psbA-trnH, matK, rbcL, rpoC1, ycf5, ITS2, and ITS) from medicinal plant species. Our ranking criteria included PCR amplification efficiency, differential intra- and inter-specific divergences, and the DNA barcoding gap. Our data suggest that the second internal transcribed spacer (ITS2) of nuclear ribosomal DNA represents the most suitable region for DNA barcoding applications. Furthermore, we tested the discrimination ability of ITS2 in more than 6600 plant samples belonging to 4800 species from 753 distinct genera and found that the rate of successful identification with the ITS2 was 92.7% at the species level. Conclusions The ITS2 region can be potentially used as a standard DNA barcode to identify medicinal plants and their closely related species. We also propose that ITS2 can serve as a novel universal barcode for the identification of a broader range of plant taxa.
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                Author and article information

                Journal
                Insects
                Insects
                insects
                Insects
                MDPI
                2075-4450
                15 February 2020
                February 2020
                : 11
                : 2
                : 125
                Affiliations
                [1 ]Department of Animal Ecology and Tropical Biology, University of Würzburg, 97074 Würzburg, Germany; moritz_trinkl@ 123456web.de
                [2 ]Department of Public Technology and Innovation Planning, Fraunhofer Institute for Technological Trend Analysis INT, 53879 Euskirchen, Germany
                [3 ]Environmental Futures Research Institute, Griffith University, Nathan Campus, QLD 4111, Australia; helen.wallace@ 123456griffith.edu.au
                [4 ]CSIRO Ecosystem Sciences, Brisbane, QLD 4001, Australia; tim@ 123456sugarbag.net
                [5 ]Center for Computational and Theoretical Biology, University of Würzburg, 97074 Würzburg, Germany; a.keller@ 123456biozentrum.uni-wuerzburg.de
                [6 ]Department of Ecology and Ecosystem Management, Technical University of Munich, 85354 Freising, Germany
                Author notes
                [* ]Correspondence: leonhardt@ 123456wzw.tum.de ; Tel.: +49-8161-714-574
                Author information
                https://orcid.org/0000-0001-8731-4587
                https://orcid.org/0000-0001-5716-3634
                Article
                insects-11-00125
                10.3390/insects11020125
                7073955
                32075297
                8990d82f-60d8-411a-ab18-401f3a294c5e
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 01 December 2019
                : 03 February 2020
                Categories
                Article

                floral resources,plant-insect interactions,nutrition,biodiversity,bee decline

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