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Local adaptation and evolutionary potential along a temperature gradient in the fungal pathogen Rhynchosporium commune

Overview of attention for article published in Evolutionary Applications, January 2013
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Title
Local adaptation and evolutionary potential along a temperature gradient in the fungal pathogen Rhynchosporium commune
Published in
Evolutionary Applications, January 2013
DOI 10.1111/eva.12039
Pubmed ID
Authors

Tryggvi S. Stefansson, Bruce A. McDonald, Yvonne Willi

Abstract

To predict the response of plant pathogens to climate warming, data are needed on current thermal adaptation, the pathogen's evolutionary potential, and the link between them. We conducted a common garden experiment using isolates of the fungal pathogen Rhynchosporium commune from nine barley populations representing climatically diverse locations. Clonal replicates of 126 genetically distinct isolates were assessed for their growth rate at 12°C, 18°C, and 22°C. Populations originating from climates with higher monthly temperature variation had higher growth rate at all three temperatures compared with populations from climates with less temperature fluctuation. Population differentiation in growth rate (Q ST) was significantly higher at 22°C than population differentiation for neutral microsatellite loci (G ST), consistent with local adaptation for growth at higher temperatures. At 18°C, we found evidence for stabilizing selection for growth rate as Q ST was significantly lower than G ST. Heritability of growth rate under the three temperatures was substantial in all populations (0.58-0.76). Genetic variation was lower in populations with higher growth rate at the three temperatures and evolvability increased under heat stress in seven of nine populations. Our findings imply that the distribution of this pathogen is unlikely to be genetically limited under climate warming, due to its high genetic variation and plasticity for thermal tolerance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
South Africa 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 30%
Researcher 14 22%
Student > Master 6 9%
Student > Doctoral Student 5 8%
Student > Bachelor 4 6%
Other 8 13%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 66%
Environmental Science 5 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Immunology and Microbiology 1 2%
Earth and Planetary Sciences 1 2%
Other 3 5%
Unknown 8 13%
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 04 January 2013.
All research outputs
#19,918,349
of 25,374,917 outputs
Outputs from Evolutionary Applications
#1,358
of 1,578 outputs
Outputs of similar age
#220,672
of 289,019 outputs
Outputs of similar age from Evolutionary Applications
#22
of 23 outputs
Altmetric has tracked 25,374,917 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 1,578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.