The Bacterium Frischella perrara Causes Scab Formation in the Gut of its Honeybee Host.

UNLABELLED: Honeybees harbor well-defined bacterial communities in their guts. The major members of these communities appear to benefit the host, but little is known about how they interact with the host and specifically how they interface with the host immune system. In the pylorus, a short region between the midgut and hindgut, honeybees frequently exhibit scab-like structures on the epithelial gut surface. These structures are reminiscent of a melanization response of the insect immune system. Despite the wide distribution of this phenotype in honeybee populations, its cause has remained elusive. Here, we show that the presence of a common member of the bee gut microbiota, the gammaproteobacterium Frischella perrara, correlates with the appearance of the scab phenotype. Bacterial colonization precedes scab formation, and F. perrara specifically localizes to the melanized regions of the host epithelium. Under controlled laboratory conditions, we demonstrate that exposure of microbiota-free bees to F. perrara but not to other bacteria results in scab formation. This shows that F. perrara can become established in a spatially restricted niche in the gut and triggers a morphological change of the epithelial surface, potentially due to a host immune response. As an intermittent colonizer, this bacterium holds promise for addressing questions of community invasion in a simple yet relevant model system. Moreover, our results show that gut symbionts of bees engage in differential host interactions that are likely to affect gut homeostasis. Future studies should focus on how these different gut bacteria impact honeybee health. IMPORTANCE: As pollinators, honeybees are key species for agricultural and natural ecosystems. Their guts harbor simple communities composed of characteristic bacterial species. Because of these features, bees are ideal systems for studying fundamental aspects of gut microbiota-host interactions. However, little is known about how these bacteria interact with their host. Here, we show that a common member of the bee gut microbiota causes the formation of a scab-like structure on the gut epithelium of its host. This phenotype was first described in 1946, but since then it has not been much further characterized, despite being found in bee populations worldwide. The scab phenotype is reminiscent of melanization, a conserved innate immune response of insects. Our results show that high abundance of one member of the bee gut microbiota triggers this specific phenotype, suggesting that the gut microbiota composition can affect the immune status of this key pollinator species.

Decoupled evolution of floral traits and climatic preferences in a clade of Neotropical Gesneriaceae.

BACKGROUND: Major factors influencing the phenotypic diversity of a lineage can be recognized by characterizing the extent and mode of trait evolution between related species. Here, we compared the evolutionary dynamics of traits associated with floral morphology and climatic preferences in a clade composed of the genera Codonanthopsis, Codonanthe and Nematanthus (Gesneriaceae). To test the mode and specific components that lead to phenotypic diversity in this group, we performed a Bayesian phylogenetic analysis of combined nuclear and plastid DNA sequences and modeled the evolution of quantitative traits related to flower shape and size and to climatic preferences. We propose an alternative approach to display graphically the complex dynamics of trait evolution along a phylogenetic tree using a wide range of evolutionary scenarios. RESULTS: Our results demonstrated heterogeneous trait evolution. Floral shapes displaced into separate regimes selected by the different pollinator types (hummingbirds versus insects), while floral size underwent a clade-specific evolution. Rates of evolution were higher for the clade that is hummingbird pollinated and experienced flower resupination, compared with species pollinated by bees, suggesting a relevant role of plant-pollinator interactions in lowland rainforest. The evolution of temperature preferences is best explained by a model with distinct selective regimes between the Brazilian Atlantic Forest and the other biomes, whereas differentiation along the precipitation axis was characterized by higher rates, compared with temperature, and no regime or clade-specific patterns. CONCLUSIONS: Our study shows different selective regimes and clade-specific patterns in the evolution of morphological and climatic components during the diversification of Neotropical species. Our new graphical visualization tool allows the representation of trait trajectories under parameter-rich models, thus contributing to a better understanding of complex evolutionary dynamics.

Current and future trens in the quality control of pharmaceuticals and biopharmaticals : impacts on Cost of Goods Sold (COGS)

[Summary] 2. Roles of quality control in the pharmaceutical and biopharmaceutical industries. - 2.1. Pharmaceutical industry. - 2.2. Biopharmaceutical industry. - 2.3. Policy and regulatory. - 2.3.1. The US Food and Drug Administration (FDA). - 2.3.2. The European Medicine Agency (EMEA). - 2.3.3. The Japanese Ministry of Work, Labor and Welfare (MHLW). - 2.3.4. The Swiss Agency for Therapeutic Products (Swissmedic). - 2.3.5. The International Conference on Harmonization (ICH). - - 3. Types of testing. - 3.1. Microbiological purity tests. - 3.2. Physiochemical tests. - 3.3. Critical to quality steps. - 3.3.1. API starting materials and excipients. - 3.3.2. Intermediates. - 3.3.3. APIs (drug substances) and final drug product. - 3.3.4. Primary and secondary packaging materials fro drug products. - - 4. Manufacturing cost and quality control. - 4.1.1. Pharmaceutical manufacturing cost breakdown. - 4.1.2. Biopharmaceutical manufacturing cost breakdown. - 4.2. Batch failure / rejection / rework / recalls. - - 5. Future trends in the quality control of pharmaceuticals and biopharmaceuticals. - 5.1. Rapid and real time testing. - 5.1.1. Physio-chemicals testing. - 5.1.2. Rapid microbiology methods