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Yellow Rust Epidemics Worldwide Were Caused by Pathogen Races from Divergent Genetic Lineages

Overview of attention for article published in Frontiers in Plant Science, June 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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1 news outlet
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29 X users

Citations

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144 Dimensions

Readers on

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152 Mendeley
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Title
Yellow Rust Epidemics Worldwide Were Caused by Pathogen Races from Divergent Genetic Lineages
Published in
Frontiers in Plant Science, June 2017
DOI 10.3389/fpls.2017.01057
Pubmed ID
Authors

Sajid Ali, Julian Rodriguez-Algaba, Tine Thach, Chris K. Sørensen, Jens G. Hansen, Poul Lassen, Kumarse Nazari, David P. Hodson, Annemarie F. Justesen, Mogens S. Hovmøller

Abstract

We investigated whether the recent worldwide epidemics of wheat yellow rust were driven by races of few clonal lineage(s) or populations of divergent races. Race phenotyping of 887 genetically diverse Puccinia striiformis isolates sampled in 35 countries during 2009-2015 revealed that these epidemics were often driven by races from few but highly divergent genetic lineages. PstS1 was predominant in North America; PstS2 in West Asia and North Africa; and both PstS1 and PstS2 in East Africa. PstS4 was prevalent in Northern Europe on triticale; PstS5 and PstS9 were prevalent in Central Asia; whereas PstS6 was prevalent in epidemics in East Africa. PstS7, PstS8 and PstS10 represented three genetic lineages prevalent in Europe. Races from other lineages were in low frequencies. Virulence to Yr9 and Yr27 was common in epidemics in Africa and Asia, while virulence to Yr17 and Yr32 were prevalent in Europe, corresponding to widely deployed resistance genes. The highest diversity was observed in South Asian populations, where frequent recombination has been reported, and no particular race was predominant in this area. The results are discussed in light of the role of invasions in shaping pathogen population across geographical regions. The results emphasized the lack of predictability of emergence of new races with high epidemic potential, which stresses the need for additional investments in population biology and surveillance activities of pathogens on global food crops, and assessments of disease vulnerability of host varieties prior to their deployment at larger scales.

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X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Unknown 151 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 22%
Student > Ph. D. Student 23 15%
Student > Master 15 10%
Student > Doctoral Student 12 8%
Student > Bachelor 7 5%
Other 16 11%
Unknown 45 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 49%
Biochemistry, Genetics and Molecular Biology 9 6%
Engineering 2 1%
Social Sciences 2 1%
Arts and Humanities 2 1%
Other 12 8%
Unknown 51 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 08 April 2024.
All research outputs
#1,509,273
of 25,837,817 outputs
Outputs from Frontiers in Plant Science
#473
of 24,929 outputs
Outputs of similar age
#29,324
of 332,114 outputs
Outputs of similar age from Frontiers in Plant Science
#16
of 573 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,929 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,114 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 573 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.