Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions.

Fuente: PubMed
Guardado en:
Detalles Bibliográficos
Autores principales: Fragkopoulou, Eliza, Serrão, Ester A, De Clerck, Olivier, Assis, Jorge
Formato: Artículo científico
Lenguaje:en
Publicado: Communications biology 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1868266206552653824
author Fragkopoulou, Eliza
Serrão, Ester A
De Clerck, Olivier
Assis, Jorge
author_facet Fragkopoulou, Eliza
Serrão, Ester A
De Clerck, Olivier
Assis, Jorge
Fragkopoulou, Eliza
Serrão, Ester A
De Clerck, Olivier
Assis, Jorge
collection PubMed - marine biology
contents Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions. Fragkopoulou, Eliza Serrão, Ester A De Clerck, Olivier Assis, Jorge Biodiversity Seaweed Genetic Variation Phaeophyceae Climate Global patterns of intraspecific genetic diversity are key to understanding evolutionary and ecological processes. However, insights into the distribution and drivers of genetic diversity remain limited, particularly for marine species. Here, we explain and predict the genetic diversity of cold and temperate brown macroalgae using genetic data from 29 species and a machine-learning algorithm that incorporates contemporary and past climate conditions during the Last Glacial Maximum (~20,000 years ago) based on the niche centroid hypothesis. We apply this model to the distribution of 280 species and predict their global genetic diversity. Our results show reduced genetic diversity away from the niche centroid, identifying past climate conditions as key drivers of contemporary genetic diversity. Regions with high genetic diversity for multiple species emerge, matching biogeographic patterns of species richness. The mapped diversity hotspots establish timely baselines for brown macroalgae biogeography, evolutionary potential and conservation, contributing to the Post-2020 Global Biodiversity Framework.
format Artículo científico
id pubmed_40348884
institution PubMed
language en
publishDate 2025
publisher Communications biology
record_format pubmed
spellingShingle Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions.
Fragkopoulou, Eliza
Serrão, Ester A
De Clerck, Olivier
Assis, Jorge
Biodiversity
Seaweed
Genetic Variation
Phaeophyceae
Climate
Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions. Fragkopoulou, Eliza Serrão, Ester A De Clerck, Olivier Assis, Jorge Biodiversity Seaweed Genetic Variation Phaeophyceae Climate Global patterns of intraspecific genetic diversity are key to understanding evolutionary and ecological processes. However, insights into the distribution and drivers of genetic diversity remain limited, particularly for marine species. Here, we explain and predict the genetic diversity of cold and temperate brown macroalgae using genetic data from 29 species and a machine-learning algorithm that incorporates contemporary and past climate conditions during the Last Glacial Maximum (~20,000 years ago) based on the niche centroid hypothesis. We apply this model to the distribution of 280 species and predict their global genetic diversity. Our results show reduced genetic diversity away from the niche centroid, identifying past climate conditions as key drivers of contemporary genetic diversity. Regions with high genetic diversity for multiple species emerge, matching biogeographic patterns of species richness. The mapped diversity hotspots establish timely baselines for brown macroalgae biogeography, evolutionary potential and conservation, contributing to the Post-2020 Global Biodiversity Framework.
title Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions.
topic Biodiversity
Seaweed
Genetic Variation
Phaeophyceae
Climate
url https://pubmed.ncbi.nlm.nih.gov/40348884/