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Gschloessl, B.

Publications and source records attributed to Gschloessl, B..

3 recordsLinked to original sources

The genomic basis of colour pattern polymorphism in the harlequin ladybird

Many animal species are comprised of discrete phenotypic forms. Understanding the genetic mechanisms generating and maintaining such phenotypic variation within species is essential to comprehending morphological diversity. A common and conspicuous example of discrete phenotypic variation in natural populations of insects is the occurrence of different colour patterns, which has motivated a rich body of ecological and genetic research1-6. The occurrence of dark, i.e. melanic, forms, displaying discrete colour patterns, is found across multiple taxa, but the underlying genomic basis remains poorly characterized. In numerous ladybird species (Coccinellidae), the spatial arrangement of black and orange patches on adult elytra varies wildly within species, forming strikingly different complex colour patterns7,8. In the harlequin ladybird Harmonia axyridis, more than 200 distinct colour forms have been described, which classic genetic studies suggest result from allelic variation at a single, unknown, locus9,10. Here, we combined whole-genome sequencing, population genomics, gene expression and functional analyses, to establish that the gene pannier controls melanic pattern polymorphism in H. axyridis. We show that pannier, which encodes an evolutionary conserved transcription factor, is necessary for the formation of melanic elements on the elytra. Allelic variation in pannier leads to protein expression in distinct domains on the elytra, and thus determines the distinct colour patterns in H. axyridis. Recombination between pannier alleles may be reduced by a highly divergent sequence of ca. 170 kb in the cis-regulatory regions of pannier with a 50 kb inversion between colour forms. This likely helps maintaining the distinct alleles found in natural populations. Thus we propose that highly variable discrete colour forms can arise in natural populations through cis-regulatory allelic variation of a single gene.

evolutionary biology

Transcriptomic response to host and non-host plants during oviposition in two closely related moth species

We present here a comprehensive analysis of the transcriptomic response to plant environments in ovipositing females of two sibling species of phytophagous moths affiliated to different host ranges: the European corn borer (ECB) and the adzuki bean borer (ABB). We first assembled and annotated a de novo reference transcriptome based on a high throughput RNA sequencing of females placed in different plant environments, then we measured differences in gene expression between ECB and ABB, and also within each moth species between environments. We further related the differentially expressed (DE) genes to the host preference in ECB and ABB and highlighted the functional categories involved. More specifically, we conducted an analysis on chemosensory genes previously characterized in ECB, ABB and other related Ostrinia species, as these genes are considered as good candidates for the host recognition before oviposition.\n\nOverall, we recorded more DE genes in ECB than in ABB samples, what could highlight the higher strength of the host specialization in ECB compared to ABB as observed at the behavioral level. We also noticed that the genes involved in the preference for their respective host were different between ECB and ABB. At the functional level, the response to plant environment in ECB and ABB during oviposition involved many processes, including the chemosensory repertoire as expected, but also metabolism of carbohydrates, lipids, proteins, and amino acids, detoxification mechanisms and immunity.\n\nAll together, our results allowed identifying genes and functions candidates for specialization and also for the species divergence between ECB and ABB. By ad-hoc categorization, we discriminated some genes responding to the environment with similar or divergent pattern in ECB and ABB. Among them, we highlighted new lines of research like carbohydrates metabolism or virus and retrovirus dynamics.

evolutionary biology

Population genomics of bank vole populations reveals associations between immune related genes and the epidemiology of Puumala hantavirus in Sweden

Infectious pathogens are major selective forces acting on individuals. The recent advent of high-throughput sequencing technologies now enables to investigate the genetic bases of resistance/susceptibility to infections in non-model organisms. From an evolutionary perspective, the analysis of the genetic diversity observed at these genes in natural populations provides insight into the mechanisms maintaining polymorphism and their epidemiological consequences. We explored these questions in the context of the interactions between Puumala hantavirus (PUUV) and its reservoir host, the bank vole Myodes glareolus. Despite the continuous spatial distribution of M. glareolus in Europe, PUUV distribution is strongly heterogeneous. Different defence strategies might have evolved in bank voles as a result of co-adaptation with PUUV, which may in turn reinforce spatial heterogeneity in PUUV distribution. We performed a genome scan study of six bank vole populations sampled along a North/South transect in Sweden, including PUUV endemic and non-endemic areas. We combined candidate gene analyses (Tlr4, Tlr7, Mx2 genes) and high throughput sequencing of RAD (Restriction-site Associated DNA) markers. We found evidence for outlier loci showing high levels of genetic differentiation. Ten outliers among the 52 that matched to mouse protein-coding genes corresponded to immune related genes and were detected using ecological associations with variations in PUUV prevalence. One third of the enriched pathways concerned immune processes, including platelet activation and TLR pathway. In the future, functional experimentations should enable to confirm the role of these these immune related genes with regard to the interactions between M. glareolus and PUUV.

evolutionary biology