Evidence map›Paper›PMID 41419485›Full record

ArticleNature communications2025

Global coral genomic vulnerability explains recent reef losses.

Oliver Selmoni, Phillip A Cleves, Moises Exposito-Alonso

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Oliver SelmoniDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA. oliver.selmoni@gmail.com.ORCID http://orcid.org/0000-0003-0904-5486
Phillip A ClevesDepartment of Embryology, Carnegie Institution for Science, Baltimore, MD, USA. pacleves@berkeley.edu.
Moises Exposito-AlonsoDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA. moisesexpositoalonso@gmail.com.ORCID http://orcid.org/0000-0001-5711-0700

Funding

Predicting and controlling polygenic health traits using probabilistic models and evolution-inspired gene editingDP5OD029506 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI EXPOSITO-ALONSO, MOISES · 2020 to 2024
$2.0M
Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation) 12187NIH HHS DP5 OD029506
6 · The paper itself

Abstract

The dramatic decline of reef-building corals calls for a better understanding of coral adaptation to ocean warming. Here, we characterize genetic diversity of the widespread genus Acropora by building a genomic database of 595 coral samples from different oceanic regions-from the Great Barrier Reef to the Persian Gulf. Through genome-environment associations, we find that different Acropora species show parallel evolutionary signals of heat-adaptation in the same genomic regions, pointing to genes associated with molecular heat shock responses and symbiosis. We then project the present and the predicted future distribution of heat-adapted genotypes across reefs worldwide. Reefs projected with low frequency of heat-adapted genotypes display higher rates of Acropora decline, indicating a potential genomic vulnerability to heat exposure. Our projections also suggest a transition where heat-adapted genotypes will spread at least until 2040. However, this transition will likely involve mass mortality of entire non-adapted populations and a consequent erosion of Acropora genetic diversity. This genetic diversity loss could hinder the capacity of Acropora to adapt to the more extreme heatwaves projected beyond 2040. Genomic vulnerability and genetic diversity loss estimates can be used to reassess which coral reefs are at risk and their conservation.

Indexed as

AnthozoaCoral ReefsGenomeAdaptation, PhysiologicalAnimalsGenetic VariationGenomicsGenotypeHeat-Shock ResponseSymbiosis

Identifiers

PMID41419485
PMCPMC12830885

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Registered trials

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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.