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Genetic insights into underground responses to Fusarium graminearum infection in wheat

Overview of attention for article published in Scientific Reports, September 2018
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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36 X users

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45 Mendeley
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Title
Genetic insights into underground responses to Fusarium graminearum infection in wheat
Published in
Scientific Reports, September 2018
DOI 10.1038/s41598-018-31544-w
Pubmed ID
Authors

Kai P. Voss-Fels, Lunwen Qian, Iulian Gabur, Christian Obermeier, Lee T. Hickey, Christian R. Werner, Stefan Kontowski, Matthias Frisch, Wolfgang Friedt, Rod J. Snowdon, Sven Gottwald

Abstract

The ongoing global intensification of wheat production will likely be accompanied by a rising pressure of Fusarium diseases. While utmost attention was given to Fusarium head blight (FHB) belowground plant infections of the pathogen have largely been ignored. The current knowledge about the impact of soil borne Fusarium infection on plant performance and the underlying genetic mechanisms for resistance remain very limited. Here, we present the first large-scale investigation of Fusarium root rot (FRR) resistance using a diverse panel of 215 international wheat lines. We obtained data for a total of 21 resistance-related traits, including large-scale Real-time PCR experiments to quantify fungal spread. Association mapping and subsequent haplotype analyses discovered a number of highly conserved genomic regions associated with resistance, and revealed a significant effect of allele stacking on the stembase discoloration. Resistance alleles were accumulated in European winter wheat germplasm, implying indirect prior selection for improved FRR resistance in elite breeding programs. Our results give first insights into the genetic basis of FRR resistance in wheat and demonstrate how molecular parameters can successfully be explored in genomic prediction. Ongoing work will help to further improve our understanding of the complex interactions of genetic factors influencing FRR resistance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 6 13%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 3 7%
Student > Postgraduate 3 7%
Other 5 11%
Unknown 15 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 49%
Biochemistry, Genetics and Molecular Biology 4 9%
Engineering 2 4%
Chemistry 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 29 October 2019.
All research outputs
#1,686,833
of 24,149,630 outputs
Outputs from Scientific Reports
#15,699
of 131,312 outputs
Outputs of similar age
#35,941
of 339,197 outputs
Outputs of similar age from Scientific Reports
#420
of 3,520 outputs
Altmetric has tracked 24,149,630 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 131,312 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 88% 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 339,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 3,520 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.