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Genome scans represent powerful approaches to investigate the action of natural selection on the genetic variation of natural populations and to better understand local adaptation. This is very useful, for example, in the field of conservation biology and evolutionary biology. Thanks to Next Generation Sequencing, genomic resources are growing exponentially, improving genome scan analyses in non-model species. Thousands of SNPs called using Reduced Representation Sequencing are increasingly used in genome scans. Besides, genome sequences are also becoming increasingly available, allowing better processing of short-read data, offering physical localization of variants, and improving haplo-type reconstruction and data imputation. Ultimately, genome sequences are also becoming the raw material for selection inferences. Here, we discuss how the increasing availability of such genomic resources, notably genome sequences, influences the detection of signals of selection. Mainly, increasing data density and having the information of physical linkage data expand genome scans by (i) improving the overall quality of the data, (ii) helping the reconstruction of demographic history for the population studied to decrease false-positive rates and (iii) improving the statistical power of methods to detect the signal of selection. Of particular importance, the availability of a high-quality reference genome can improve the detection of the signal of selection by (i) allowing matching the potential candidate loci to linked coding regions under selection, (ii) rapidly moving the investigation to the gene and function and (iii) ensuring that the highly variable regions of the genomes that include functional genes are also investigated. For all those reasons, using reference genomes in genome scan analyses is highly recommended. [ABSTRACT FROM AUTHOR]

The question of species survival and evolution in heterogeneous environments has long been a subject for study. Indeed, it is often difficult to identify the molecular basis of adaptation to contrasted environments, and nongenetic effects increase the difficulty to disentangle fixed effects, such as genetic adaptation, from variable effects, such as individual phenotypic plasticity, in adaptation. Nevertheless, this question is also of great importance for understanding the evolution of species in a context of climate change. The red coral ( Corallium rubrum) lives in the Mediterranean Sea, where at depths ranging from 5 to 600 m, it meets very contrasted thermal conditions. The shallowest populations of this species suffered from mortality events linked with thermal anomalies that have highlighted thermotolerance differences between individuals. We provide here a new transcriptomic resource, as well as candidate markers for the study of local adaptation. We sequenced the transcriptome of six individuals from 5 m and six individuals from 40 m depth at the same site of the Marseilles bay, after a period of common garden acclimatization. We found differential expression maintained between the two depths even after common garden acclimatization, and we analysed the polymorphism pattern of these samples. We highlighted contigs potentially implicated in the response to thermal stress, which could be good candidates for the study of thermal adaptation for the red coral. Some of these genes are also involved in the response to thermal stress in other corals. Our method enables the identification of candidate loci of local adaptation useful for other nonmodel organisms. [ABSTRACT FROM AUTHOR]