Shared landscape, divergent genomes: Comparative population genomics of co-occurring flora in an isolated Australian mountain range
Abstract
Understanding how landscape heterogeneity shapes genomic variation is key to conserving biodiversity and evolutionary potential. Yet conservation genomics is typically conducted at the single species level, limiting our ability to identify shared genomic patterns or understand how co-occurring taxa differ in their response to common environmental gradients. We assessed spatial patterns of genomic variation and their associations with geographic and environmental features among populations of nine co-existing plant species with contrasting life-histories and ecological traits across Gariwerd, a threatened biodiversity hotspot in south-eastern Australia. All species exhibited weak overall genetic structure, although the magnitude and spatial distribution of differentiation varied among species. Despite this variation, broadly consistent spatial trends were apparent, with higher genomic divergence largely concentrated in central zones and higher genomic diversity localised in southern regions of the landscape. Significant associations between genetic differentiation and geographic distance were observed in three species, while another species showed associations with environmental distance. These findings demonstrate that coexisting species can show overlapping spatial patterns in genomic variation while differing markedly in their associations with geographic and environmental variation across the same landscape. This comparative approach provides a basis for spatial prioritisation and conservation planning, while highlighting the complex eco-evolutionary processes operating across heterogeneous landscapes.
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BibTeX
@misc{lobos2026shared,
title = {{Shared landscape, divergent genomes: Comparative population genomics of co-occurring flora in an isolated Australian mountain range}},
author = {S. E. Lobos and C. W. Ahrens and P. D. Rymer and K. A. Hodgins and A. D. Miller},
howpublished = {bioRxiv},
year = {2026},
month = nov,
doi = {10.64898/2026.11.09.765275},
url = {https://www.biorxiv.org/content/10.64898/2026.11.09.765275v1},
note = {CC BY-ND},
}
RIS
TY - UNPB
TI - Shared landscape, divergent genomes: Comparative population genomics of co-occurring flora in an isolated Australian mountain range
AU - S. E. Lobos
AU - C. W. Ahrens
AU - P. D. Rymer
AU - K. A. Hodgins
AU - A. D. Miller
PY - 2026
DA - 2026/11/09
PB - bioRxiv
DO - 10.64898/2026.11.09.765275
UR - https://www.biorxiv.org/content/10.64898/2026.11.09.765275v1
AB - Understanding how landscape heterogeneity shapes genomic variation is key to conserving biodiversity and evolutionary potential. Yet conservation genomics is typically conducted at the single species level, limiting our ability to identify shared genomic patterns or understand how co-occurring taxa differ in their response to common environmental gradients. We assessed spatial patterns of genomic variation and their associations with geographic and environmental features among populations of nine co-existing plant species with contrasting life-histories and ecological traits across Gariwerd, a threatened biodiversity hotspot in south-eastern Australia. All species exhibited weak overall genetic structure, although the magnitude and spatial distribution of differentiation varied among species. Despite this variation, broadly consistent spatial trends were apparent, with higher genomic divergence largely concentrated in central zones and higher genomic diversity localised in southern regions of the landscape. Significant associations between genetic differentiation and geographic distance were observed in three species, while another species showed associations with environmental distance. These findings demonstrate that coexisting species can show overlapping spatial patterns in genomic variation while differing markedly in their associations with geographic and environmental variation across the same landscape. This comparative approach provides a basis for spatial prioritisation and conservation planning, while highlighting the complex eco-evolutionary processes operating across heterogeneous landscapes.
ER -