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      Asteraceae Paradox: Chemical and Mechanical Protection of Taraxacum Pollen

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          Abstract

          Excessive pollen harvesting by bees can compromise the reproductive success of plants. Plants have therefore evolved different morphological structures and floral cues to narrow the spectrum of pollen feeding visitors. Among “filtering” mechanisms, the chemical and mechanical protection of pollen might shape bee-flower interactions and restrict pollen exploitation to a specific suite of visitors such as observed in Asteraceae. Asteraceae pollen is indeed only occasionally exploited by generalist bee species but plentifully foraged by specialist ones (i.e., Asteraceae paradox). During our bioassays, we observed that micro-colonies of generalist bumblebee ( Bombus terrestris L.) feeding on Taraxacum pollen (Asteraceae) reduced their pollen collection and offspring production. Bees also experienced physiological effects of possible defenses in the form of digestive damage. Overall, our results suggest the existence of an effective chemical defense in Asteraceae pollen, while the hypothesis of a mechanical defense appeared more unlikely. Pre- and post-ingestive effects of such chemical defenses (i.e., nutrient deficit or presence of toxic compounds), as well as their role in the shaping of bee-flower interactions, are discussed. Our results strongly suggest that pollen chemical traits may act as drivers of plant selection by bees and partly explain why Asteraceae pollen is rare in generalist bee diets.

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          BUTTERFLIES AND PLANTS: A STUDY IN COEVOLUTION

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            Using observation-level random effects to model overdispersion in count data in ecology and evolution

            Overdispersion is common in models of count data in ecology and evolutionary biology, and can occur due to missing covariates, non-independent (aggregated) data, or an excess frequency of zeroes (zero-inflation). Accounting for overdispersion in such models is vital, as failing to do so can lead to biased parameter estimates, and false conclusions regarding hypotheses of interest. Observation-level random effects (OLRE), where each data point receives a unique level of a random effect that models the extra-Poisson variation present in the data, are commonly employed to cope with overdispersion in count data. However studies investigating the efficacy of observation-level random effects as a means to deal with overdispersion are scarce. Here I use simulations to show that in cases where overdispersion is caused by random extra-Poisson noise, or aggregation in the count data, observation-level random effects yield more accurate parameter estimates compared to when overdispersion is simply ignored. Conversely, OLRE fail to reduce bias in zero-inflated data, and in some cases increase bias at high levels of overdispersion. There was a positive relationship between the magnitude of overdispersion and the degree of bias in parameter estimates. Critically, the simulations reveal that failing to account for overdispersion in mixed models can erroneously inflate measures of explained variance (r 2), which may lead to researchers overestimating the predictive power of variables of interest. This work suggests use of observation-level random effects provides a simple and robust means to account for overdispersion in count data, but also that their ability to minimise bias is not uniform across all types of overdispersion and must be applied judiciously.
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              Pollen nutritional content and digestibility for animals

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                Author and article information

                Journal
                Insects
                Insects
                insects
                Insects
                MDPI
                2075-4450
                14 May 2020
                May 2020
                : 11
                : 5
                : 304
                Affiliations
                [1 ]Laboratory of Zoology, Research Institute for Biosciences, University of Mons-UMONS, Place du Parc 23, 7000 Mons, Belgium; helgilles@ 123456hotmail.com
                [2 ]Laboratory of Histology, Faculty of Medicine and Pharmacy, University of Mons-UMONS, Place du Parc 23, 7000 Mons, Belgium; denis.nonclercq@ 123456umons.ac.be
                [3 ]Unit of Therapeutic Chemistry and Pharmacognosy, Faculty of Medicine and Pharmacy, University of Mons-UMONS, Place du Parc 23, 7000 Mons, Belgium; pierre.duez@ 123456umons.ac.be
                [4 ]Organic Synthesis and Mass Spectrometry Laboratory, Research Institute for Biosciences, University of Mons-UMONS, Place du Parc 23, 7000 Mons, Belgium; pascal.gerbaux@ 123456umons.ac.be
                Author notes
                [* ]Correspondence: maryse.vanderplanck@ 123456umons.ac.be ; Tel.: +32-653-734-36
                Author information
                https://orcid.org/0000-0002-0110-8019
                https://orcid.org/0000-0002-0484-1478
                https://orcid.org/0000-0001-5114-4352
                Article
                insects-11-00304
                10.3390/insects11050304
                7290674
                32422920
                e2e0bc46-41c1-4cd0-9604-ee31fd9edfea
                © 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
                : 24 April 2020
                : 12 May 2020
                Categories
                Article

                asteraceae,pollen defenses,generalist floral visitors,bombus terrestris,chemical protection,mechanical protection

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