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review, we have collected detailed data from more than 150 102 experiments including all to date published and many unpublished experiments.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.

Sex chromosomes evolve once recombination is halted between a homologous pair of chromosomes. The dominant model of sex chromosome evolution posits that recombination is suppressed between emerging X and Y chromosomes in order to resolve sexual conflict. Here we test this model using whole genome and transcriptome resequencing data in the guppy, a model for sexual selection with many Y-linked colour traits. We show that although the nascent Y chromosome encompasses nearly half of the linkage group, there has been no perceptible degradation of Y chromosome gene content or activity. Using replicate wild populations with differing levels of sexually antagonistic selection for colour, we also show that sexual selection leads to greater expansion of the non-recombining region and increased Y chromosome divergence. These results provide empirical support for longstanding models of sex chromosome catalysis, and suggest an important role for sexual selection and sexual conflict in genome evolution.

The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

Phenotypic plasticity, the expression of multiple phenotypes from one genome, is a widespread adaptation to short-term environmental fluctuations, but whether it facilitates evolutionary adaptation to climate change remains contentious. Here, we investigate seasonal plasticity and adaptive potential in an Afrotropical butterfly expressing distinct phenotypes in dry and wet seasons. We assess the transcriptional architecture of plasticity in a full-factorial analysis of heritable and environmental effects across 72 individuals, and reveal pervasive gene expression differences between the seasonal phenotypes. Strikingly, intra-population genetic variation for plasticity is largely absent, consistent with specialisation to a particular environmental cue reliably predicting seasonal transitions. Under climate change, deteriorating accuracy of predictive cues will likely aggravate maladaptive phenotype-environment mismatches and increase selective pressures on reaction norms. However, the observed paucity of genetic variation for plasticity limits evolutionary responses, potentially weakening prospects for population persistence. Thus, seasonally plastic species may be especially vulnerable to climate change.