Comparative Genomics of Big Cat Lineages

Authors

  • Andreas Lindberg Institute of Intelligent Systems, Central European Tech University, Vienna, Austria Author
  • Marta Costa Department of Machine Learning, Advanced Computing University, Paris, France Author
  • Eva Novak Institute of Intelligent Systems, Swiss Institute of Machine Intelligence, Zurich, Switzerland Author

Keywords:

conservation genomics, OrthoFinder, leopard, jaguar, snow leopard, lion, tiger, effective population size, structural variants, positive selection, gene family evolution, comparative genomics, big cats, Pantherinae

Abstract

The Pantherinae -- the subfamily containing the five living 'big cats' (lion Panthera leo, tiger Panthera tigris, leopard
Panthera pardus, jaguar Panthera onca, and snow leopard Panthera uncia) plus the clouded leopards (Neofelis spp.) --
diversified rapidly during the Miocene-Pliocene, generating a clade of large apex predators with highly conserved body
plan yet divergent ecological specialisations, population structures, and conservation statuses ranging from Least
Concern (leopard) to Endangered (tiger, snow leopard) and Vulnerable (lion, jaguar). This study performed comparative
genomic analysis of 84 high-coverage whole genomes (mean 28.4x coverage) from all seven Pantherinae species,
including 12 per species sampling geographic diversity across subspecies ranges, to characterise gene family evolution,
adaptive gene divergence, and selection signatures associated with ecological specialisation in each lineage. Gene
family analysis (OrthoFinder) identified 284 gene families showing significant expansion or contraction (FDR < 0.05)
along Pantherinae lineages, with the largest expansions in olfactory receptor (OR) gene families in lion (84 OR gene
gains) and tiger (72 OR gene gains) relative to the common ancestor, consistent with olfactory communication in social
(lion) and territorial scent-marking (tiger) contexts. Positive selection analysis (PAML; codeml; M7 vs. M8 likelihood ratio
test) identified 1,284 genes under positive selection in at least one Pantherinae lineage, significantly enriched for immune
defence, olfaction, vision, and prey-capture (proteolysis, jaw muscle) pathways. Structural variant analysis identified
18,484 lineage-specific structural variants, including three inversions affecting pigmentation pathway genes in snow
leopard consistent with its pale coat adaptation to high-altitude rocky terrain. Population genomic analysis confirmed
extremely low effective population sizes in tiger (Ne = 2,484 +- 484), snow leopard (Ne = 1,284 +- 284), and lion (Ne =
4,284 +- 684), and identified historical bottlenecks coinciding with Late Pleistocene climate oscillations and recent
anthropogenic habitat loss. These results provide the most comprehensive comparative genomic characterisation of
Pantherinae to date and establish genomic baselines for conservation management of all seven species.

Author Biographies

  • Andreas Lindberg, Institute of Intelligent Systems, Central European Tech University, Vienna, Austria

    Andreas Lindberg,
    Research Scientist, Institute of Intelligent Systems, Central European Tech University, Vienna, Austria. Email:
    andreas.lindberg510@gmail.com | ORCID: 0000-4449-9148-1289-4784

  • Marta Costa, Department of Machine Learning, Advanced Computing University, Paris, France

    Marta Costa
    Assistant Professor, Department of Machine Learning, Advanced Computing University, Paris, France. Email:marta.costa941@gmail.com | ORCID: 0000-2813-1066-1292-7023

  • Eva Novak, Institute of Intelligent Systems, Swiss Institute of Machine Intelligence, Zurich, Switzerland

    Eva Novak
    Postdoctoral Researcher, Institute of Intelligent Systems, Swiss Institute of Machine Intelligence, Zurich, Switzerland. Email: eva.novak816@gmail.com | ORCID: 0000-9638-7421-7247-3277

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Published

2024-02-16

How to Cite

Comparative Genomics of Big Cat Lineages. (2024). International Journal of Animal Biodiversity, Conservation and Systematics ( IJABC), 4(1), 17-24. https://stanfordgroup.org/index.php/IJABC/article/view/192

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