Potential risk of dipterocarps in the marginal Asian rainforests: low population size and high genomic erosion

亚洲边缘雨林中龙脑香科植物的潜在风险:种群规模小和基因组侵蚀严重

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Abstract

BACKGROUND: Vatica guangxiensis, one of the northernmost dipterocarp tree species in Asian tropical rainforests and among the most critically endangered members of the Dipterocarpaceae, faces severe genetic risks due to its extremely small population size. RESULTS: We present a chromosome-scale genome assembly of V. guangxiensis, totaling 454.89 Mb, comprising 54 scaffolds (contig N50 = 38.11 Mb). To inform conservation strategies, we conducted a population genomic analysis involving 148 individuals from three natural populations of V. guangxiensis sensu lato and two of V. mangachapoi, a widely distributed tropical rainforest species in Asia. Our results clarified the population structure, interspecific differentiation, and species delimitation of V. guangxiensis sensu lato, resolving longstanding taxonomic ambiguities and supporting the reinstatement of the two Yunnan populations as V. xishuangbannaensis. Compared with V. xishuangbannaensis and V. mangachapoi, V. guangxiensis exhibits significantly lower genetic diversity, higher inbreeding, and an elevated mutation load. Additionally, we revealed a near-complete absence of gene flow with related species and documented historically low effective population sizes, underscoring its vulnerability to genome erosion. Notably, genomic comparisons between mature and regenerating individuals revealed a 26.45% decrease in genetic diversity and a 10.70% increase in mutation load in smaller trees of V. guangxiensis, reflecting accelerated genomic erosion during natural regeneration. CONCLUSIONS: Our findings underscore the urgent need to monitor genomic health and implement effective conservation measures to safeguard V. guangxiensis. This study highlights the critical role of genomic data in assessing population health and informing strategies for the preservation of endangered species in marginal tropical rainforests.

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