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| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
npj biodiversity
2026
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| Online Access: | https://pubmed.ncbi.nlm.nih.gov/42218259/ |
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Table of Contents:
- An automated decision-making procedure for ranking and selecting species in biodiversity projects. Struck, Torsten H Marcussen, Thomas Böhne, Astrid Fernández, Rosa Melo-Ferreira, José Florent, Isabelle Gissi, Carmela de Guttry, Christian Leonard, Jennifer A McTaggart, Seanna Mazzoni, Camila J Monteiro, Rita Vinnere Pettersson, Olga Pimenta, João Pohjoismäki, Jaakko Reichel, Katja Tarieiev, Andrii Oomen, Rebekah A In large-scale biodiversity genomics projects, the number of species that could be sequenced exceeds the resources available. Species selection is therefore a crucial component, requiring clear criteria and procedures. In a bottom-up approach, the Biodiversity Genomics Europe (BGE) project implemented an Automated Decision-Making (ADM) process for species selection based on objective criteria and tested it on simulated and empirical data. Here, we present this species ranking ADM process, which includes three stages: exclusion, ranking, and feasibility check. The composition of selected species retained the diversity of the community-nominated species pool for key taxonomic, geographic, and demographic assessment criteria while reducing bias. Feasibility and funding limits influenced the final selection more than other factors, indicating that investments in these areas would improve available reference-genome diversity. The ADM achieved species selection for genome sequencing in a large-scale biodiversity project in a relatively objective manner consistent with the broader European biodiversity genomic community's priorities.