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Title: Disentangling genetic structure for genetic monitoring of complex populations
Authors:
 ;  ;  ;  ;  ;  
Award ID(s):
1639014
Publication Date:
NSF-PAR ID:
10055156
Journal Name:
Evolutionary Applications
Volume:
11
Issue:
7
Page Range or eLocation-ID:
1149 to 1161
ISSN:
1752-4571
Publisher:
Wiley-Blackwell
Sponsoring Org:
National Science Foundation
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  1. Wind disperses the pollen and seeds of many plants, but little is known about whether and how it shapes large-scale landscape genetic patterns. We address this question by a synthesis and reanalysis of genetic data from more than 1,900 populations of 97 tree and shrub species around the world, using a newly developed framework for modeling long-term landscape connectivity by wind currents. We show that wind shapes three independent aspects of landscape genetics in plants with wind pollination or seed dispersal: populations linked by stronger winds are more genetically similar, populations linked by directionally imbalanced winds exhibit asymmetric gene flowmore »ratios, and downwind populations have higher genetic diversity. For each of these distinct hypotheses, partial correlations between the respective wind and genetic metrics (controlling for distance and climate) are positive for a significant majority of wind-dispersed or wind-pollinated genetic data sets and increase significantly across functional groups expected to be increasingly influenced by wind. Together, these results indicate that the geography of both wind strength and wind direction play important roles in shaping large-scale genetic patterns across the world’s forests. These findings have implications for various aspects of basic plant ecology and evolution, as well as the response of biodiversity to future global change.

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