{"external_id":{"arxiv":["2404.14003"],"pmid":["38629140"]},"pmid":1,"author":[{"first_name":"Lauric","full_name":"Reynes, Lauric","last_name":"Reynes"},{"first_name":"Louise","full_name":"Fouqueau, Louise","last_name":"Fouqueau","orcid":"0000-0003-0371-9339","id":"1676e173-8143-11ed-8927-fe165216a93f"},{"last_name":"Aurelle","full_name":"Aurelle, Didier","first_name":"Didier"},{"first_name":"Stephane","last_name":"Mauger","full_name":"Mauger, Stephane"},{"first_name":"Christophe","last_name":"Destombe","full_name":"Destombe, Christophe"},{"first_name":"Myriam","full_name":"Valero, Myriam","last_name":"Valero"}],"doi":"10.1093/jeb/voae048","_id":"17237","volume":37,"date_published":"2024-06-01T00:00:00Z","publication_status":"published","day":"01","publication":"Journal of Evolutionary Biology","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"677-692","oa":1,"main_file_link":[{"url":"https://arxiv.org/abs/2404.14003","open_access":"1"}],"intvolume":" 37","language":[{"iso":"eng"}],"quality_controlled":"1","article_processing_charge":"No","scopus_import":"1","month":"06","date_updated":"2024-07-15T09:43:06Z","title":"Temporal genomics help in deciphering neutral and adaptive patterns in the contemporary evolution of kelp populations","acknowledgement":"This work was funded by the EU project MARFOR Biodiversa/004/2015. L.F. was additionally funded by the Region Bretagne (ARED 2017 REEALG) and the NOMIS Foundation. The project leading to this publication has received funding from the EC2CO (CNRS) fund and from the European FEDER Fund under project 1166-39417.\r\nThis work is especially dedicated to the memory of Gernot Glöckner who contributed to the sequencing of Laminaria digitata genome and passed away in very recent time. The authors thank the ABiMS platform of the Roscoff biological station (http://abims.sb-roscoff.fr) for providing the HPC resources that contributed to the search results reported in this document. We also acknowledge the staff of the “Cluster de calcul intensif HPC” Platform of the OSU Institut Pythéas (Aix-Marseille Université, INSU-CNRS) for providing the computing facilities.","citation":{"apa":"Reynes, L., Fouqueau, L., Aurelle, D., Mauger, S., Destombe, C., & Valero, M. (2024). Temporal genomics help in deciphering neutral and adaptive patterns in the contemporary evolution of kelp populations. Journal of Evolutionary Biology. Oxford University Press. https://doi.org/10.1093/jeb/voae048","chicago":"Reynes, Lauric, Louise Fouqueau, Didier Aurelle, Stephane Mauger, Christophe Destombe, and Myriam Valero. “Temporal Genomics Help in Deciphering Neutral and Adaptive Patterns in the Contemporary Evolution of Kelp Populations.” Journal of Evolutionary Biology. Oxford University Press, 2024. https://doi.org/10.1093/jeb/voae048.","mla":"Reynes, Lauric, et al. “Temporal Genomics Help in Deciphering Neutral and Adaptive Patterns in the Contemporary Evolution of Kelp Populations.” Journal of Evolutionary Biology, vol. 37, no. 6, Oxford University Press, 2024, pp. 677–92, doi:10.1093/jeb/voae048.","short":"L. Reynes, L. Fouqueau, D. Aurelle, S. Mauger, C. Destombe, M. Valero, Journal of Evolutionary Biology 37 (2024) 677–692.","ista":"Reynes L, Fouqueau L, Aurelle D, Mauger S, Destombe C, Valero M. 2024. Temporal genomics help in deciphering neutral and adaptive patterns in the contemporary evolution of kelp populations. Journal of Evolutionary Biology. 37(6), 677–692.","ieee":"L. Reynes, L. Fouqueau, D. Aurelle, S. Mauger, C. Destombe, and M. Valero, “Temporal genomics help in deciphering neutral and adaptive patterns in the contemporary evolution of kelp populations,” Journal of Evolutionary Biology, vol. 37, no. 6. Oxford University Press, pp. 677–692, 2024.","ama":"Reynes L, Fouqueau L, Aurelle D, Mauger S, Destombe C, Valero M. Temporal genomics help in deciphering neutral and adaptive patterns in the contemporary evolution of kelp populations. Journal of Evolutionary Biology. 2024;37(6):677-692. doi:10.1093/jeb/voae048"},"type":"journal_article","date_created":"2024-07-14T22:01:12Z","status":"public","article_type":"original","oa_version":"Preprint","department":[{"_id":"NiBa"}],"abstract":[{"lang":"eng","text":"The impact of climate change on populations will be contingent upon their contemporary adaptive evolution. In this study, we investigated the contemporary evolution of 4 populations of the cold-water kelp Laminaria digitata by analyzing their spatial and temporal genomic variations using ddRAD-sequencing. These populations were sampled from the center to the southern margin of its north-eastern Atlantic distribution at 2 time points, spanning at least 2 generations. Through genome scans for local adaptation at a single time point, we identified candidate loci that showed clinal variation correlated with changes in sea surface temperature (SST) along latitudinal gradients. This finding suggests that SST may drive the adaptive response of these kelp populations, although factors such as species’ demographic history should also be considered. Additionally, we performed a simulation approach to distinguish the effect of selection from genetic drift in allele frequency changes over time. This enabled the detection of loci in the southernmost population that exhibited temporal differentiation beyond what would be expected from genetic drift alone: these are candidate loci which could have evolved under selection over time. In contrast, we did not detect any outlier locus based on temporal differentiation in the population from the North Sea, which also displayed low and decreasing levels of genetic diversity. The diverse evolutionary scenarios observed among populations can be attributed to variations in the prevalence of selection relative to genetic drift across different environments. Therefore, our study highlights the potential of temporal genomics to offer valuable insights into the contemporary evolution of marine foundation species facing climate change."}],"year":"2024","publication_identifier":{"eissn":["1420-9101"],"issn":["1010-061X"]},"issue":"6","publisher":"Oxford University Press"}