In genome-scale datasets, Gene Ontology (GO) enrichment is a common analysis to highlight functions over-represented or under-represented in a subset of differentially expressed genes to elucidate the biological significance of the results. However, despite the diversity of existing tools to analyze GO enrichment, it is often difficult to integrate results in an article figure with sufficient clarity. This is partly due to the high number and to the redundancy of the enriched GO terms, especially when looking at large sets of differentially expressed genes. Here, we provide a simple method to plot representative enriched GO terms. The list of representative enriched GO terms is obtained using existing tools Panther and REVIGO and results are represented in different plots generated from a homemade R script and the ggplot2 R package. The generated plots are publication-quality figures. The diversity of represented parameters makes the plots highly informative (number of genes associated with the enriched GO terms, fold enrichment and level of statistical significance). Comparison of GO enrichment between different lists of genes in a single plot is possible. As proof of concept, we performed this analysis on an Arabidopsis heat responsive transcriptome dataset recently published.

International audienceInland aquatic ecosystems are vulnerable to both climate change and biological invasion at broad spatial scales. The aim of this study was to establish the current and future potential distribution of three invasive plant taxa, Egeria densa, Myriophyllum aquaticum and Ludwigia spp., in their native and exotic ranges. We used species distribution models (SDMs), with nine different algorithms and three global circulation models, and we restricted the suitability maps to cells containing aquatic ecosystems. The current bioclimatic range of the taxa was predicted to represent 6.6-12.3% of their suitable habitats at global scale, with a lot of variations between continents. In Europe and North America, their invasive ranges are predicted to increase up to two fold by 2070 with the highest gas emission scenario. Suitable new areas will mainly be located to the north of their current range. In other continents where they are exotic and in their native range (South America), the surface areas of suitable locations are predicted to decrease with climate change, especially for Ludwigia spp. in South America (down to -55% by 2070 with RCP 8.5 scenario). This study allows to identify areas vulnerable to ongoing invasions by aquatic plant species and thus could help the prioritisation of monitoring and management, as well as contribute to the public awareness regarding biological invasions

High aqueous salinity does not preclude germination of invasive Iris pseudacorus from estuarine populations.