Gene silencing through RNA interference (RNAi) has revolutionized the study of gene 98 function, particularly in non-model insects. However, in Lepidoptera (moths and butterflies) 99 RNAi has many times proven to be difficult to achieve. Most of the negative results have been 100 anecdotal and the positive experiments have not been collected in such a way that they are 101 possible to analyze. In this review, we have collected detailed data from more than 150 102 experiments including all to date published and many unpublished experiments. Despite a 103 large variation in the data, trends that are found are that RNAi is particularly successful in the 104 family Saturniidae and in genes involved in immunity. On the contrary, gene expression in 105 epidermal tissues seems to be most difficult to silence. In addition, gene silencing by feeding 106 dsRNA requires high concentrations for success. Possible causes for the variability of success 107 in RNAi experiments in Lepidoptera are discussed. The review also points to a need to further 108 investigate the mechanism of RNAi in lepidopteran insects and its possible connection to the 109 innate immune response. Our general understanding of RNAi in Lepidoptera will be further 110 aided in the future as our public database at http://insectacentral.org/RNAi will continue to 111 gather information on RNAi experiments.

BackgroundThe shift from solitary to social behavior is one of the major evolutionary transitions. Primitively eusocial bumblebees are uniquely placed to illuminate the evolution of highly eusocial insect societies. Bumblebees are also invaluable natural and agricultural pollinators, and there is widespread concern over recent population declines in some species. High-quality genomic data will inform key aspects of bumblebee biology, including susceptibility to implicated population viability threats.ResultsWe report the high quality draft genome sequences of Bombus terrestris and Bombus impatiens, two ecologically dominant bumblebees and widely utilized study species. Comparing these new genomes to those of the highly eusocial honeybee Apis mellifera and other Hymenoptera, we identify deeply conserved similarities, as well as novelties key to the biology of these organisms. Some honeybee genome features thought to underpin advanced eusociality are also present in bumblebees, indicating an earlier evolution in the bee lineage. Xenobiotic detoxification and immune genes are similarly depauperate in bumblebees and honeybees, and multiple categories of genes linked to social organization, including development and behavior, show high conservation. Key differences identified include a bias in bumblebee chemoreception towards gustation from olfaction, and striking differences in microRNAs, potentially responsible for gene regulation underlying social and other traits.ConclusionsThese two bumblebee genomes provide a foundation for post-genomic research on these key pollinators and insect societies. Overall, gene repertoires suggest that the route to advanced eusociality in bees was mediated by many small changes in many genes and processes, and not by notable expansion or depauperation.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-015-0623-3) contains supplementary material, which is available to authorized users.

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Synopsis ER aminopeptidase 1 (ERAP1), ER aminopeptidase 2 (ERAP2) and Insulin Regulated aminopeptidase (IRAP) are three homologous enzymes that play critical roles in the generation of antigenic peptides. These aminopeptidases excise amino acids from N-terminally extended precursors of antigenic peptides in order to generate the correct length epitopes for binding onto MHC class I molecules. The specificity of these peptidases can affect antigenic peptide selection, but has not yet been investigated in detail. In the present study we utilized a collection of 82 fluorogenic substrates to define a detailed selectivity profile for each of the three enzymes and to probe structural and functional features of the primary specificity (S1) pocket. Molecular modeling of the three S1 pockets reveals substrate-enzyme interactions that are critical determinants for specificity. The substrate selectivity profiles suggest that IRAP largely combines the S1 specificity of ERAP1 and ERAP2, consistent with its proposed biological function. IRAP however, does not achieve this dual specificity by simply combining structural features of ERAP1 and 2, but rather by a unique amino acid change at position 541. Our results provide insights on antigenic peptide selection and may prove valuable in designing selective inhibitors or activity markers for this class of enzymes.

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