M. Exposito-Alonso

Global coral genomic vulnerability explains recent reef losses

The paper identifies genomic vulnerability in Acropora corals by linking heat-adapted genotypes to reef decline and predicts future genetic diversity loss due to ocean warming.

Selection constraints of plant adaptation can be relaxed by gene editing

This study shows that gene editing can relax selection constraints on plant traits by altering genetic correlations between flowering time and water use efficiency in Arabidopsis thaliana.

Ecological and genetic trade-offs drive Arabidopsis thaliana range expansion in Europe

This study shows that ecological trade-offs between dispersal, competition, and stress tolerance shape the geographic distribution of Arabidopsis thaliana in Europe.

Century-long timelines of herbarium genomes predict plant stomatal response to climate change

The paper uses historical A. thaliana genomes and genetic knowledge to show a decrease in stomatal density over time linked to climate change.

An image is worth a thousand species: mapping plant biodiversity with citizen science, remote sensing, and deep learning

This paper develops a deep learning model that predicts plant species distributions using remote sensing, citizen science, and deep learning, enabling high-resolution biodiversity monitoring.

Monitoring rapid evolution of plant populations at scale with Pool-Sequencing

This paper validates pool-sequencing for tracking rapid plant population evolution and introduces tools to accelerate population genetic analysis.

Uncovering natural variation in root system architecture and growth dynamics using a robotics-assisted phenomics platform

This study automates the GLO-Roots platform with robotics and image analysis to examine natural variation in Arabidopsis root system architecture over time, revealing complex traits correlated with climate variables.

Substitution load revisited: a high proportion of deaths can be selective

The paper revisits Haldane's Dilemma by analyzing substitution load and selective deaths in Arabidopsis thaliana, finding a higher proportion of selective deaths than previously thought.

Into the range: a latitudinal gradient or a center-margins differentiation of ecological strategies in Arabidopsis thaliana?

This study examines phenotypic variation in Arabidopsis thaliana along latitudinal and center-margins gradients, finding both patterns of differentiation in stress tolerance and colonization ability.

Genetic diversity loss in the Anthropocene

The paper introduces a mathematical framework to estimate genetic diversity loss due to habitat reduction and shows that over 10% of genetic diversity may already be lost globally.

Small proteins modulate ion channel-like ACD6 to regulate immunity in Arabidopsis thaliana

The paper identifies two small proteins, MHA1 and MHA1L, that modulate ACD6 activity in Arabidopsis thaliana, affecting growth and defense trade-offs through calcium influx regulation.

Non-additive polygenic models improve predictions of fitness traits in three eukaryote model species

The paper develops a non-additive polygenic model to predict fitness traits in three eukaryote species and finds non-additive models better explain fitness in some cases.

Mutation bias shapes gene evolution in Arabidopsis thaliana

The paper shows that mutation rates in Arabidopsis thaliana are influenced by cytogenetic features and are lower in genes with deleterious mutations, contradicting neutral expectations.

A map of climate change-driven natural selection in Arabidopsis thaliana

The paper assesses climate change-driven natural selection in Arabidopsis thaliana by analyzing fitness impacts of rainfall manipulation across different geographic regions.

Adaptive diversification of growth allometry in the plant Arabidopsis thaliana

The paper shows that Arabidopsis thaliana accessions exhibit variation in growth allometry linked to climate adaptation, with PUB4 gene under balancing selection affecting trade-offs between stress resistance and seed production.

Genomic basis and evolutionary potential for extreme drought adaptation in Arabidopsis thaliana

The paper predicts future genetic changes in A. thaliana populations by integrating climate change models with genomic data from experimental drought survival experiments.