SOURCE-LINKED INTELLIGENCE
Revealing Extinction Risk through Comparative Genomics and Artificial Intelligence
Revealing Extinction Risk through Comparative Genomics and Artificial Intelligence Understanding species extinction risk is a crucial goal in Evolutionary Biology and a contemporary societal challenge. The standard method for assessing extinction risk, the IUCN Red List, focuses on external threats and overlooks genetic factors. Despite some weak and variable correlations, genetic diversity offers insights beyond the Red List, potentially resulting in an underestimation of extinction risk. Genomic data, generated rapidly through initiatives like the Bird 10,000 Genomes Project, has the potential to enhance assessments by revealing historical population demography, genetic diversity, and the genetic load of deleterious mutations. Recently, there has been excitement about the potential of reference genomes in conservation genomics. However, the actual potential and limitations of single reference genomes in informing conservation strategies remain
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 247553.28
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.