Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States. Issue 3 (22nd January 2018)

• Record Type: Journal Article
• Authors: Lee, Soo‐Rang; Jo, Yeong‐Seok; Park, Chan‐Ho; Friedman, Jonathan M.; Olson, Matthew S.
• Is Part Of: Molecular ecology. Volume 27:Issue 3(2018)
• Page Start: 636
• Page End: 646
• Publication Date: 2018-01-22
• Subjects: invasive species -- landscape genomics -- population structure -- range expansion -- Tamarix; Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.14468
• Languages: English
• ISSNs: 0962-1083

Abstract

Abstract: Understanding the complex influences of landscape and anthropogenic elements that shape the population genetic structure of invasive species provides insight into patterns of colonization and spread. The application of landscape genomics techniques to these questions may offer detailed, previously undocumented insights into factors influencing species invasions. We investigated the spatial pattern of genetic variation and the influences of landscape factors on population similarity in an invasive riparian shrub, saltcedar ( Tamarix L.) by analysing 1, 997 genomewide SNP markers for 259 individuals from 25 populations collected throughout the southwestern United States. Our results revealed a broad‐scale spatial genetic differentiation of saltcedar populations between the Colorado and Rio Grande river basins and identified potential barriers to population similarity along both river systems. River pathways most strongly contributed to population similarity. In contrast, low temperature and dams likely served as barriers to population similarity. We hypothesize that large‐scale geographic patterns in genetic diversity resulted from a combination of early introductions from distinct populations, the subsequent influence of natural selection, dispersal barriers and founder effects during range expansion.