Stress Responses and Adaptation in Drosophila
This line investigates genomic and phenotypic responses to environmental stress using experimental evolution, population genomics and quantitative approaches. It aims to identify adaptive architectures underlying stress tolerance, providing predictive insight into how natural populations respond to rapid environmental change.
Maria Pilar García-Guerreiro
ORCID: 0000-0001-9951-1879 | EGRETA: link
Mauro Santos
ORCID: 0000-0002-6478-6570 | EGRETA: link
Marta Coronado-Zamora
ORCID: 0000-0001-9779-9661 | EGRETA: link
Genomic Signatures of Adaptation
This line integrates population genomics, recombination landscapes and 3D chromatin organization to understand how genome architecture shapes adaptive evolution. The PopLife browser serves as a central digital infrastructure to integrate, visualize and disseminate genomic signatures across species, strengthening interoperability and long-term accessibility of genomic resources.
Sònia Casillas
ORCID: 0000-0001-8191-0062 | EGRETA: link
Antonio Barbadilla
ORCID: 0000-0002-0374-1475 | EGRETA: link
Eco-evolutionary Genomics of Vibrio in a Warming Planet
This line combines phylogenomics, metagenomics and environmental modelling to understand how marine pathogens expand and adapt under climate change. The goal is to predict epidemiological risk in marine ecosystems and contribute genomic evidence to international climate–health policy frameworks.
Jaime Martínez-Urtaza
ORCID: 0000-0001-6219-0418 | EGRETA: link
Predicting the Evolution of Complex Phenotypes
This line integrates quantitative genetics with mechanistic developmental modelling to improve prediction of evolutionary trajectories and selection responses. This theoretical framework underpins the empirical adaptation lines of the group.
Isaac Salazar-Ciudad
ORCID: 0000-0003-1607-0962 | EGRETA: link
Genomic and Epigenomic Basis of Temperature-Dependent Sex Determination and Adaptation in Keystone Organisms
This line mainly addresses the vulnerability of the loggerhead turtle to climate-driven sex-ratio imbalance. By characterizing methylation patterns and gene expression associated with sex determination and age, the project aims to develop minimally invasive genomic biomarkers applicable to nesting beaches and conservation programs. In parallel, we will also address other non-model keystone organisms with reference genomes available to advance understanding regarding population genomics, genome architecture and adaptation. This research directly informs biodiversity management under global warming, integrating sex as a biological variable central to ecological resilience.
Cinta Pegueroles
ORCID: 0000-0003-0701-9866 | EGRETA: link
Structural Variation and Rare Disease Diagnosis
This line develops long-read–based strategies to detect and genotype complex structural variants that are typically missed in standard diagnostics. By applying these approaches to unresolved neuromuscular disease cases, the project advances precision medicine and clarifies the contribution of structural variation to human disease susceptibility.
Marta Puig
ORCID: 0000-0002-4439-6372 | EGRETA: link