Published December 15, 2020 | Version v1
Dataset Open

Evolutionary stability, landscape heterogeneity, and human land-usage shape population genetic connectivity in the Cape Floristic Region biodiversity hotspot

  • 1. University of Toronto
  • 2. Virginia Commonwealth University
  • 3. Arizona State University

Description

As human-induced change eliminates natural habitats, it impacts genetic diversity and population connectivity for local biodiversity. The South African Cape Floristic Region (CFR) is the most diverse extratropical area for plant biodiversity, and much of its habitat is protected as a UNESCO World Heritage site. There has long been great interest in explaining the underlying factors driving this unique diversity, especially as much of the CFR is endangered by urbanization and other anthropogenic activity. Here, we use a population and landscape genetic analysis of SNP data from the CFR endemic plant Leucadendron salignum or "common sunshine conebush" as a model to address the evolutionary and environmental factors shaping the vast CFR diversity. We found that high population structure, along with relatively deeper and older genealogies, are characteristic of the southwestern CFR, whereas, low population structure and more recent lineage coalescence depicts the eastern CFR. Population network analyses show genetic connectivity is facilitated in areas of lower elevation and higher seasonal precipitation. These population genetic signatures corroborate CFR species-level patterns consistent with high Pleistocene biome stability and landscape heterogeneity in the southwest, but with coincident instability in the east. Finally, we also find evidence of human land-usage as a significant gene flow barrier, especially in severely-threatened lowlands where genetic connectivity has been historically the highest. These results help identify areas where conservation plans can prioritize protecting high genetic diversity threatened by contemporary human activities within this unique cultural UNESCO site.

Files

LocationSA1.csv

Files (975.1 kB)

Name Size Download all
md5:ee0c14c0cbc5275efc9401bf8e6c1d48
1.4 kB Preview Download
md5:fcfb7fc2075998d908c58175f3c64f48
514.2 kB Preview Download
md5:3603807f640b5c00d3dc3a8871d4986e
12.8 kB Preview Download
md5:7054811bc8ef13a83a6e011b24e8f113
2.1 kB Download
md5:151c15ed68cc373ce5d643311b141486
28.9 kB Download
md5:69bee09a039167344e7a468b4c4db534
12.3 kB Preview Download
md5:8c49380b0be96a1fd2e0dc92ba2c7b25
70.2 kB Preview Download
md5:8c49380b0be96a1fd2e0dc92ba2c7b25
70.2 kB Preview Download
md5:9635ee63863d122db72461974aa7d62e
256.6 kB Preview Download
md5:a1004a0162db06aaeb3d1ea1bb6d065d
6.4 kB Download