| Literature DB >> 34018645 |
Sofie Vranken1,2, Thomas Wernberg1,2,3, Armin Scheben2,4, Anita Severn-Ellis2, Jacqueline Batley2, Bayer Emanuel Philipp2, David Edwards2, David Wheeler5, Melinda Ann Coleman2,6,7.
Abstract
Climate change is increasingly impacting ecosystems globally. Understanding adaptive genetic diversity and whether it will keep pace with projected climatic change is necessary to assess species' vulnerability and design efficient mitigation strategies such as assisted adaptation. Kelp forests are the foundations of temperate reefs globally but are declining in many regions due to climate stress. A lack of knowledge of kelps' adaptive genetic diversity hinders assessment of vulnerability under extant and future climates. Using 4245 single nucleotide polymorphisms (SNPs), we characterised patterns of neutral and putative adaptive genetic diversity for the dominant kelp in the southern hemisphere (Ecklonia radiata) from ~1000 km coastline off Western Australia. Strong population structure and isolation-by-distance was underpinned by significant signatures of selection related to temperature and light. Gradient forest analysis of temperature-linked SNPs under selection revealed a strong association with mean annual temperature range suggesting adaptation to local thermal environments. Critically, modelling revealed that predicted climate-mediated temperature changes will likely result in high genomic vulnerability via a mismatch between current and future predicted genotype-environment relationships such that kelp forests off Western Australia will need to significantly adapt to keep pace with projected climate change. Proactive management techniques such as assisted adaptation to boost resilience may be required to secure the future of these kelp forests and the immense ecological and economic values they support. This article is protected by copyright. All rights reserved.Entities:
Keywords: Global change; assisted adaptation; genomic offset; genomic vulnerability; genotype-by-environment associations
Year: 2021 PMID: 34018645 DOI: 10.1111/mec.15993
Source DB: PubMed Journal: Mol Ecol ISSN: 0962-1083 Impact factor: 6.185