4.5 Article

The genetic network of greater sage-grouse: Range-wide identification of keystone hubs of connectivity

Journal

ECOLOGY AND EVOLUTION
Volume 8, Issue 11, Pages 5394-5412

Publisher

WILEY
DOI: 10.1002/ece3.4056

Keywords

Centrocercus urophasianus; graph theory; multiscale conservation prioritization

Funding

  1. Montana and Dakotas Bureau of Land Management [07-IA-11221643-343, 10-IA-11221635-027, 14-IA-11221635-059]
  2. Great Northern Landscape Conservation Cooperative [12-IA-11221635-132]
  3. Natural Resources Conservation Service-Sage-grouse Initiative [13-IA-11221635-054]

Ask authors/readers for more resources

Genetic networks can characterize complex genetic relationships among groups of individuals, which can be used to rank nodes most important to the overall connectivity of the system. Ranking allows scarce resources to be guided toward nodes integral to connectivity. The greater sage-grouse (Centrocercus urophasianus) is a species of conservation concern that breeds on spatially discrete leks that must remain connected by genetic exchange for population persistence. We genotyped 5,950 individuals from 1,200 greater sage-grouse leks distributed across the entire species' geographic range. We found a small-world network composed of 458 nodes connected by 14,481 edges. This network was composed of hubsthat is, nodes facilitating gene flow across the networkand spokesthat is, nodes where connectivity is served by hubs. It is within these hubs that the greatest genetic diversity was housed. Using indices of network centrality, we identified hub nodes of greatest conservation importance. We also identified keystone nodes with elevated centrality despite low local population size. Hub and keystone nodes were found across the entire species' contiguous range, although nodes with elevated importance to network-wide connectivity were found more central: especially in northeastern, central, and southwestern Wyoming and eastern Idaho. Nodes among which genes are most readily exchanged were mostly located in Montana and northern Wyoming, as well as Utah and eastern Nevada. The loss of hub or keystone nodes could lead to the disintegration of the network into smaller, isolated subnetworks. Protecting both hub nodes and keystone nodes will conserve genetic diversity and should maintain network connections to ensure a resilient and viable population over time. Our analysis shows that network models can be used to model gene flow, offering insights into its pattern and process, with application to prioritizing landscapes for conservation.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available