Decoding the genomic basis of adaptive capacity and vulnerability in the high-altitude Saussurea obvallata complex

Decoding how adaptation and vulnerability are distributed across rugged landscape is essential for anticipating biodiversity responses to climatic change. We investigated the Saussurea obvallata complex, a group of closely related lineages distributed across the Himalayan–Hengduan Mountains (HHM), to ask how climatic heterogeneity and historical isolation shape genomic variation, ecological divergence, and the speciation continuum. To address these questions, we integrated plastome and RAD-seq based nuclear SNPs with genotype–environment association (GEA) analyses, gradient forest (GF), generalized dissimilarity modeling (GDM), and ensemble species distribution models (SDMs). Projected genomic offset under future climate scenarios (2070) and ensemble SDMs were used to map genomic vulnerability and forecast habitat shifts. Nuclear SNPs resolve shallow divergence and cytonuclear discordance consistent with incomplete lineages sorting and episodic introgression. After formally accounting for background population structure and spatial effects, the pure environmental fraction remains modest but significant, with within-population label–permutation nulls falling well below observed values. Concordant signals across partial redundancy analysis, latent factor mixed model (notably June cloud metrics), and GF/GDM (temperature seasonality, slope/elevation, cloud regime) indicate a genuine environment-linked component of allele-frequency turnover, while acknowledging that reduced-representation data may under detect polygenic architecture. Genomic offset maps highlight vulnerability hotspots along the southern Western and Eastern Himalayas and parts of the Hengduan Mountains, whereas the central HHM shows lower offset and potential refugial stability. Together, results support a speciation continuum shaped by both isolation and environmental selection and motivate a dual conservation strategy: safeguard diversity-rich, low-offset refugia while mitigating risk in high-offset peripheral regions through enhanced connectivity, microrefugia, and genomic monitoring. • Genomic data reveals a speciation continuum in Saussurea obvallata complex. • Structure-aware GEA shows climate/topography shape allele-frequency turnover. • Genomic offset (RCP4.5, 2070) peaks in southern Himalayas and HDM edges. • Central HHM flagged as low-offset refugia; margins prioritized for mitigation.

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Publication Details

Journal
Plant Diversity
Published
2025-12-01
DOI
https://doi.org/10.1016/j.pld.2025.12.004
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
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article

Decoding the genomic basis of adaptive capacity and vulnerability in the high-altitude Saussurea obvallata complex

Jacob B. Landis, Dong Luo, Santosh Kumar Rana, Hum Kala Rana et al.
Plant Diversity
Genetic diversity and population structure
article

Decoding the genomic basis of adaptive capacity and vulnerability in the high-altitude Saussurea obvallata complex

Jacob B. Landis, Dong Luo, Santosh Kumar Rana, Hum Kala Rana, Hang Sun
article en

Abstract

Decoding how adaptation and vulnerability are distributed across rugged landscape is essential for anticipating biodiversity responses to climatic change. We investigated the Saussurea obvallata complex, a group of closely related lineages distributed across the Himalayan–Hengduan Mountains (HHM), to ask how climatic heterogeneity and historical isolation shape genomic variation, ecological divergence, and the speciation continuum. To address these questions, we integrated plastome and RAD-seq based nuclear SNPs with genotype–environment association (GEA) analyses, gradient forest (GF), generalized dissimilarity modeling (GDM), and ensemble species distribution models (SDMs). Projected genomic offset under future climate scenarios (2070) and ensemble SDMs were used to map genomic vulnerability and forecast habitat shifts. Nuclear SNPs resolve shallow divergence and cytonuclear discordance consistent with incomplete lineages sorting and episodic introgression. After formally accounting for background population structure and spatial effects, the pure environmental fraction remains modest but significant, with within-population label–permutation nulls falling well below observed values. Concordant signals across partial redundancy analysis, latent factor mixed model (notably June cloud metrics), and GF/GDM (temperature seasonality, slope/elevation, cloud regime) indicate a genuine environment-linked component of allele-frequency turnover, while acknowledging that reduced-representation data may under detect polygenic architecture. Genomic offset maps highlight vulnerability hotspots along the southern Western and Eastern Himalayas and parts of the Hengduan Mountains, whereas the central HHM shows lower offset and potential refugial stability. Together, results support a speciation continuum shaped by both isolation and environmental selection and motivate a dual conservation strategy: safeguard diversity-rich, low-offset refugia while mitigating risk in high-offset peripheral regions through enhanced connectivity, microrefugia, and genomic monitoring. • Genomic data reveals a speciation continuum in Saussurea obvallata complex. • Structure-aware GEA shows climate/topography shape allele-frequency turnover. • Genomic offset (RCP4.5, 2070) peaks in southern Himalayas and HDM edges. • Central HHM flagged as low-offset refugia; margins prioritized for mitigation.

Plant Diversity
Kunming Institute of Botany (CN), Youngstown State University (US), Chinese Academy of Sciences (CN), Cornell University (US), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 57%
Genetic diversity and population structure
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