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Delcamp, A.

Publications and source records attributed to Delcamp, A..

2 recordsLinked to original sources

Lack of Evidence for Local Adaptation in Risk Tolerance: A Genetic Study in Northern Senegal.

Risk tolerance is influenced by both environmental and genetic factors and may be shaped by local selective pressures in hazardous environments. In Northern Senegal, fishermen from the village of Guet Ndar are chronically exposed to high occupational mortality risk, making this population a potential model for local adaptation to risky environments. In a previous study, we showed that men from this fishing community were less risk-tolerant than men from a nearby farming village, although this difference could not be explained by variation at the DRD4 locus. Here, we investigated whether genetic variants previously associated with general risk tolerance in large genome-wide association studies (GWAS) exhibit signals of local adaptation in these Senegalese populations. We genotyped 44 candidate SNPs in 373 individuals sampled from the risky fishing area and the non-risky farming area. Population genetic analyses revealed extremely low and non-significant differentiation between the two populations (mean FST = 0.0003, p = 0.33), indicating that the two groups are genetically indistinguishable at these loci. Furthermore, none of the candidate SNPs showed a significant association with experimentally measured risk tolerance after correction for multiple testing. These results provide no evidence that local adaptation for risky behavior has occurred, several explanations may account for this negative result.

evolutionary biology↗

Whole-genome screening for near-diagnostic genetic markers for white oak species identification in Europe

ContextIdentifying species in the European white oak complex has been a long standing concern in taxonomy, evolution, forest research and management. Quercus petraea, Q. robur, Q. pubescens and Q. pyrenaica are part of this species complex in western temperate Europe and hybridize in mixed stands, challenging species identification. AimsOur aim was to identify diagnostic single nucleotide polymorphisms (SNPs) for each of the four species that are suitable for routine use and rapid diagnosis in research and applied forestry. MethodsWe first scanned existing whole-genome and target-capture data sets in a reduced number of samples (training set) to identify candidate diagnostic SNPs, ie genomic positions being characterized by a reference allele in one species and by the alternative allele in all other species. Allele frequencies of the candidates SNPs were then explored in a larger, range-wide sample of populations in each species (validation step). ResultsWe found a subset of 38 SNPs (ten for Q. petraea, seven for Q. pubescens, nine for Q. pyrenaica and twelve for Q. robur) that showed near-diagnostic features across their species distribution ranges with Q. pyrenaica and Q. pubescens exhibiting the highest and lowest diagnosticity, respectively. ConclusionsWe provide a new, efficient and reliable molecular tool for the identification of the species Q. petraea, Q. robur, Q. pubescens and Q. pyrenaica, which can be used as a routine tool in forest research and management. This study highlights the resolution offered by whole-genome sequencing data to design diagnostic marker sets for taxonomic assignment, even for species complexes with relatively low differentiation.

plant biology↗