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Longitudinal trends in climate drive flowering time clines in North American Arabidopsis thaliana

Overview of attention for article published in Ecology and Evolution, May 2012
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Title
Longitudinal trends in climate drive flowering time clines in North American Arabidopsis thaliana
Published in
Ecology and Evolution, May 2012
DOI 10.1002/ece3.262
Pubmed ID
Authors

Karen E. Samis, Courtney J. Murren, Oliver Bossdorf, Kathleen Donohue, Charles B. Fenster, Russell L. Malmberg, Michael D. Purugganan, John R. Stinchcombe

Abstract

Introduced species frequently show geographic differentiation, and when differentiation mirrors the ancestral range, it is often taken as evidence of adaptive evolution. The mouse-ear cress (Arabidopsis thaliana) was introduced to North America from Eurasia 150-200 years ago, providing an opportunity to study parallel adaptation in a genetic model organism. Here, we test for clinal variation in flowering time using 199 North American (NA) accessions of A. thaliana, and evaluate the contributions of major flowering time genes FRI, FLC, and PHYC as well as potential ecological mechanisms underlying differentiation. We find evidence for substantial within population genetic variation in quantitative traits and flowering time, and putatively adaptive longitudinal differentiation, despite low levels of variation at FRI, FLC, and PHYC and genome-wide reductions in population structure relative to Eurasian (EA) samples. The observed longitudinal cline in flowering time in North America is parallel to an EA cline, robust to the effects of population structure, and associated with geographic variation in winter precipitation and temperature. We detected major effects of FRI on quantitative traits associated with reproductive fitness, although the haplotype associated with higher fitness remains rare in North America. Collectively, our results suggest the evolution of parallel flowering time clines through novel genetic mechanisms.

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Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Canada 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Mexico 1 <1%
Unknown 98 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 34%
Researcher 20 19%
Student > Master 13 12%
Professor > Associate Professor 7 7%
Other 6 6%
Other 14 13%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 71%
Environmental Science 10 10%
Biochemistry, Genetics and Molecular Biology 8 8%
Linguistics 1 <1%
Chemistry 1 <1%
Other 0 0%
Unknown 10 10%
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 16 October 2012.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Ecology and Evolution
#6,305
of 8,476 outputs
Outputs of similar age
#115,333
of 175,881 outputs
Outputs of similar age from Ecology and Evolution
#35
of 47 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,476 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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