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Biology subjects

Dreyer, M.

Publications and source records attributed to Dreyer, M..

3 recordsLinked to original sources

Hot and Bothered, Bees Gut Microbiome Shifts Under Thermal Stress and Pathogen Infection.

Understanding bumble bee gut health is imperative as these vital pollinators are subjected to pathogenic infections and thermal stress from climate change. The gut microbiome serves as an indicator for health and fitness and indicates the types of stress. To investigate the combined effects of thermal stress and pathogenic infection on bee guts, we performed a two-by-two crossed design where Bombus impatiens workers were subjected to hot conditions, pathogenic infection, or both. Incubation groups were given 2-weeks of stress conditions, with infected bees initially inoculated with Crithidia bombi, a common bee gut parasite. We measured body size, quantified the infection intensity of C. bombi using qPCR, and defined the composition of the gut microbiome using full-length 16S rRNA gene amplicon sequencing on an Oxford Nanopore Technologies Mk1D. While the core gut microbiome thrived with genera such as Bombilactobacillus and Snodgrassila which were not impacted by treatment; there were notable changes in other key organisms. Asaia bogorensis spiked in control temperature infected organisms, while species of Lactobacillus were overtaken in hot temperatures by significant increases in Apilactobacillus kunkeei. Species such as Citrobacter freundii dominated in hot infected bees suggesting an increased immunocompromised state from the combined stressors impacts on bee gut health. Our novel combined effects from thermal stress and pathogenic infection strengthen existing literature and provide new directions on how to quantify the health-state of wild bees based on their gut microbiome composition. These insights enable us to better understand how bees will be further impacted in changing landscapes. ImportanceWe find significant changes in bees gut microbiome especially with an increased abundance of lactic acid bacteria. These lactic acid bacteria are often specialized: based on infection status, temperature, and the combined effects. These insights are vital to researchers, especially those studying wild bee gut health where they have an uncontrolled system and need to make assumptions about bee stress based on fitness and microbiome. Our detailed outline of relevant species will provide wild bee researchers with a baseline to determine thermal stress and recent infection status based on microbiome communities. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/687019v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@1528ae6org.highwire.dtl.DTLVardef@1d100dorg.highwire.dtl.DTLVardef@8ea77org.highwire.dtl.DTLVardef@159620a_HPS_FORMAT_FIGEXP M_FIG C_FIG Overview of the experimental design where bees were either given control temperatures or thermal stress and/or an infection by Crithidia bombi. The bees microcolonies were incubated for 2-weeks before sacrificing the bees, extracting DNA, and performing downstream analysis. Full length 16S rRNA gene amplicon sequencing was performed on an Oxford Nanopore MK1D sequencer while Crithidia bombi infections were quantified using quantitative polymerase chain reaction.

ecology↗

A Connectome of the Adult Drosophila Central Brain

The neural circuits responsible for behavior remain largely unknown. Previous efforts have reconstructed the complete circuits of small animals, with hundreds of neurons, and selected circuits for larger animals. Here we (the FlyEM project at Janelia and collaborators at Google) summarize new methods and present the complete circuitry of a large fraction of the brain of a much more complex animal, the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses, and proofread such large data sets; new methods that define cell types based on connectivity in addition to morphology; and new methods to simplify access to a large and evolving data set. From the resulting data we derive a better definition of computational compartments and their connections; an exhaustive atlas of cell examples and types, many of them novel; detailed circuits for most of the central brain; and exploration of the statistics and structure of different brain compartments, and the brain as a whole. We make the data public, with a web site and resources specifically designed to make it easy to explore, for all levels of expertise from the expert to the merely curious. The public availability of these data, and the simplified means to access it, dramatically reduces the effort needed to answer typical circuit questions, such as the identity of upstream and downstream neural partners, the circuitry of brain regions, and to link the neurons defined by our analysis with genetic reagents that can be used to study their functions. Note: In the next few weeks, we will release a series of papers with more involved discussions. One paper will detail the hemibrain reconstruction with more extensive analysis and interpretation made possible by this dense connectome. Another paper will explore the central complex, a brain region involved in navigation, motor control, and sleep. A final paper will present insights from the mushroom body, a center of multimodal associative learning in the fly brain.

neuroscience↗

A functional connectome phenotyping dataset including cognitive state and personality measures

The dataset enables exploration of higher-order cognitive faculties, self-generated mental experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a high-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the MPI-Leipzig Mind-Brain-Body database.

neuroscience↗