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Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States

Overview of attention for article published in Molecular Ecology, January 2018
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Title
Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern United States
Published in
Molecular Ecology, January 2018
DOI 10.1111/mec.14468
Pubmed ID
Authors

Soo‐Rang Lee, Yeong‐Seok Jo, Chan‐Ho Park, Jonathan M. Friedman, Matthew S. Olson

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 the invasive riparian shrub saltcedar (Tamarix L.) by analyzing 1,997 genome-wide SNP markers for 259 individuals from 25 populations collected throughout the southwestern US. 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. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Researcher 12 21%
Student > Master 8 14%
Student > Bachelor 5 9%
Student > Postgraduate 4 7%
Other 6 10%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 40%
Biochemistry, Genetics and Molecular Biology 11 19%
Environmental Science 9 16%
Medicine and Dentistry 1 2%
Unknown 14 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 December 2017.
All research outputs
#19,912,587
of 24,471,305 outputs
Outputs from Molecular Ecology
#6,046
of 6,568 outputs
Outputs of similar age
#340,589
of 450,204 outputs
Outputs of similar age from Molecular Ecology
#88
of 92 outputs
Altmetric has tracked 24,471,305 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.