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Rapid cloning of disease-resistance genes in plants using mutagenesis and sequence capture

Overview of attention for article published in Nature Biotechnology, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
13 news outlets
blogs
7 blogs
twitter
180 X users
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4 patents
facebook
4 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
434 Mendeley
citeulike
1 CiteULike
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Title
Rapid cloning of disease-resistance genes in plants using mutagenesis and sequence capture
Published in
Nature Biotechnology, April 2016
DOI 10.1038/nbt.3543
Pubmed ID
Authors

Burkhard Steuernagel, Sambasivam K Periyannan, Inmaculada Hernández-Pinzón, Kamil Witek, Matthew N Rouse, Guotai Yu, Asyraf Hatta, Mick Ayliffe, Harbans Bariana, Jonathan D G Jones, Evans S Lagudah, Brande B H Wulff

Abstract

Wild relatives of domesticated crop species harbor multiple, diverse, disease resistance (R) genes that could be used to engineer sustainable disease control. However, breeding R genes into crop lines often requires long breeding timelines of 5-15 years to break linkage between R genes and deleterious alleles (linkage drag). Further, when R genes are bred one at a time into crop lines, the protection that they confer is often overcome within a few seasons by pathogen evolution. If several cloned R genes were available, it would be possible to pyramid R genes in a crop, which might provide more durable resistance. We describe a three-step method (MutRenSeq)-that combines chemical mutagenesis with exome capture and sequencing for rapid R gene cloning. We applied MutRenSeq to clone stem rust resistance genes Sr22 and Sr45 from hexaploid bread wheat. MutRenSeq can be applied to other commercially relevant crops and their relatives, including, for example, pea, bean, barley, oat, rye, rice and maize.

X Demographics

X Demographics

The data shown below were collected from the profiles of 180 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 434 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Switzerland 1 <1%
Italy 1 <1%
India 1 <1%
Germany 1 <1%
Sri Lanka 1 <1%
Mexico 1 <1%
Japan 1 <1%
United States 1 <1%
Other 0 0%
Unknown 423 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 106 24%
Researcher 88 20%
Student > Master 36 8%
Student > Bachelor 27 6%
Student > Doctoral Student 25 6%
Other 79 18%
Unknown 73 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 258 59%
Biochemistry, Genetics and Molecular Biology 67 15%
Computer Science 5 1%
Unspecified 5 1%
Environmental Science 3 <1%
Other 12 3%
Unknown 84 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 242. 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 October 2022.
All research outputs
#157,494
of 25,728,350 outputs
Outputs from Nature Biotechnology
#313
of 8,602 outputs
Outputs of similar age
#2,895
of 313,300 outputs
Outputs of similar age from Nature Biotechnology
#8
of 122 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,602 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has done particularly well, scoring higher than 96% 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 313,300 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 99% of its contemporaries.
We're also able to compare this research output to 122 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 93% of its contemporaries.