Colonial-driven extinction of the blue antelope despite genomic adaptation to low population size.
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Hempel E, Faith JT, Preick M, de Jager D, Barish S, Hartmann S, Grau JH, Moodley Y, Gedman G, Pirovich KM, Bibi F, Kalthoff DC, Bocklandt S, Lamm B, Dalén L, Westbury MV, Hofreiter M
Curr. Biol. 34 (9) 2020-2029.e6 [2024-05-06; online 2024-04-12]
Low genomic diversity is generally indicative of small population size and is considered detrimental by decreasing long-term adaptability.1,2,3,4,5,6 Moreover, small population size may promote gene flow with congeners and outbreeding depression.7,8,9,10,11,12,13 Here, we examine the connection between habitat availability, effective population size (Ne), and extinction by generating a 40× nuclear genome from the extinct blue antelope (Hippotragus leucophaeus). Historically endemic to the relatively small Cape Floristic Region in southernmost Africa,14,15 populations were thought to have expanded and contracted across glacial-interglacial cycles, tracking suitable habitat.16,17,18 However, we found long-term low Ne, unaffected by glacial cycles, suggesting persistence with low genomic diversity for many millennia prior to extinction in ∼AD 1800. A lack of inbreeding, alongside high levels of genetic purging, suggests adaptation to this long-term low Ne and that human impacts during the colonial era (e.g., hunting and landscape transformation), rather than longer-term ecological processes, were central to its extinction. Phylogenomic analyses uncovered gene flow between roan (H. equinus) and blue antelope, as well as between roan and sable antelope (H. niger), approximately at the time of divergence of blue and sable antelope (∼1.9 Ma). Finally, we identified the LYST and ASIP genes as candidates for the eponymous bluish pelt color of the blue antelope. Our results revise numerous aspects of our understanding of the interplay between genomic diversity and evolutionary history and provide the resources for uncovering the genetic basis of this extinct species' unique traits.
NGI Stockholm (Genomics Production) [Service]
National Genomics Infrastructure [Service]
PubMed 38614080
DOI 10.1016/j.cub.2024.03.051
Crossref 10.1016/j.cub.2024.03.051
pii: S0960-9822(24)00391-9