Genomic Diversity in Critically Endangered Birds

Authors

  • Jonas Petrov Assistant Professor, Institute of Intelligent Systems, Central European Tech University, Vienna, Austria Author
  • Sofia Moreau Research Scientist, School of Data Science, Western Europe Data Science University, Madrid, Spain Author
  • Daniel Ivanov Professor, Department of Artificial Intelligence, Mediterranean Institute of Technology, Rome, Italy Author

Keywords:

conservation genomics, critically endangered birds, genomic diversity, inbreeding depression, runs of homozygosity, effective population size, genetic rescue, whole-genome sequencing

Abstract

Critically Endangered bird species face extinction risks compounded by genomic erosion -- the progressive loss of genetic diversity through inbreeding, genetic drift, and accumulation of deleterious mutations in small remnant populations. Whole-genome sequencing now enables unprecedented resolution of genomic diversity, inbreeding coefficients, runs of homozygosity (ROH), and historical demographic trajectories in threatened taxa, providing actionable data for conservation management. This study characterised the genomic landscape of 16 Critically Endangered bird species spanning eight orders, sequencing 387 individuals at mean 18.4x genome coverage using Illumina short-read platforms. Genomic heterozygosity ranged from 0.00089 (Spix's macaw, Cyanopsitta spixii) to 0.00412 (Bali myna, Leucopsar rothschildi) across species, with a mean of 0.00241 +- 0.00087 -- substantially lower than published values for non-threatened congeners (mean 0.00634 +- 0.00142; t-test: t = 14.84, p < 0.001). Mean inbreeding coefficients (F) averaged 0.187 +- 0.064 across species, exceeding the threshold associated with inbreeding depression in birds (F > 0.125) in 13 of 16 species. Historical effective population sizes (Ne) reconstructed via pairwise sequentially Markovian coalescent (PSMC) analysis revealed that all 16 species experienced severe demographic bottlenecks, with Ne declining by 84-97% from pre-decline peaks. Genomic load analysis identified 2.4-fold more predicted deleterious variants per individual in CR species than in non-threatened relatives (p < 0.001). These findings provide a genomic evidence base for prioritising gene flow augmentation, genetic rescue, and genome banking as emergency conservation interventions for the most genomically depleted species.

Author Biographies

  • Jonas Petrov, Assistant Professor, Institute of Intelligent Systems, Central European Tech University, Vienna, Austria

    Assistant Professor, Institute of Intelligent Systems, Central European Tech University, Vienna, Austria

  • Sofia Moreau, Research Scientist, School of Data Science, Western Europe Data Science University, Madrid, Spain

    Research Scientist, School of Data Science, Western Europe Data Science University, Madrid, Spain

  • Daniel Ivanov, Professor, Department of Artificial Intelligence, Mediterranean Institute of Technology, Rome, Italy

    Professor, Department of Artificial Intelligence, Mediterranean Institute of Technology, Rome, Italy

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Published

2024-09-15

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How to Cite

Genomic Diversity in Critically Endangered Birds. (2024). International Journal of Animal Biodiversity, Conservation and Systematics ( IJABC), 4(4), 1-9. https://stanfordgroup.org/index.php/IJABC/article/view/256 (Original work published 2026)

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