Evidence map›Paper›PMID 40348884›Full record

ArticleCommunications biology2025

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

Eliza Fragkopoulou, Ester A Serrão, Olivier De Clerck, Jorge Assis

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Eliza FragkopoulouCentro de Ciências do Mar do Algarve (CCMAR/CIMAR LA), Campus de Gambelas, Universidade do Algarve, Faro, Portugal. eli_frag@hotmail.com.ORCID http://orcid.org/0000-0002-0557-3954
Ester A SerrãoCentro de Ciências do Mar do Algarve (CCMAR/CIMAR LA), Campus de Gambelas, Universidade do Algarve, Faro, Portugal.ORCID http://orcid.org/0000-0003-1316-658X
Olivier De ClerckPhycology Research Group, Biology Department, Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0002-3699-8402
Jorge AssisCentro de Ciências do Mar do Algarve (CCMAR/CIMAR LA), Campus de Gambelas, Universidade do Algarve, Faro, Portugal.ORCID http://orcid.org/0000-0002-6624-4820

Funding

Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) DivRestore/0013/2020Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) LA/P/0101/2020Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) PTDC/BIA-CBI/6515/2020Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) Scientific Employment Stimulus 2022.00861.CEECINDMinistry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) SFRH/BD/144878/ 2019Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) UIDB/04326/2020Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) UIDP/04326/2020Pew Charitable Trusts Pew Marine Fellowship
6 · The paper itself

Abstract

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.

Indexed as

BiodiversityClimateGenetic VariationPhaeophyceaeSeaweed

Identifiers

PMID40348884
PMCPMC12065896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.