↓ Skip to main content

Unlocking the diversity of genebanks: whole-genome marker analysis of Swiss bread wheat and spelt

Overview of attention for article published in Theoretical and Applied Genetics, November 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
14 X users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
59 Mendeley
Title
Unlocking the diversity of genebanks: whole-genome marker analysis of Swiss bread wheat and spelt
Published in
Theoretical and Applied Genetics, November 2017
DOI 10.1007/s00122-017-3010-5
Pubmed ID
Authors

Thomas Müller, Beate Schierscher-Viret, Dario Fossati, Cécile Brabant, Arnold Schori, Beat Keller, Simon G. Krattinger

Abstract

High-throughput genotyping of Swiss bread wheat and spelt accessions revealed differences in their gene pools and identified bread wheat landraces that were not used in breeding. Genebanks play a pivotal role in preserving the genetic diversity present among old landraces and wild progenitors of modern crops and they represent sources of agriculturally important genes that were lost during domestication and in modern breeding. However, undesirable genes that negatively affect crop performance are often co-introduced when landraces and wild crop progenitors are crossed with elite cultivars, which often limit the use of genebank material in modern breeding programs. A detailed genetic characterization is an important prerequisite to solve this problem and to make genebank material more accessible to breeding. Here, we genotyped 502 bread wheat and 293 spelt accessions held in the Swiss National Genebank using a 15K wheat SNP array. The material included both spring and winter wheats and consisted of old landraces and modern cultivars. Genome- and sub-genome-wide analyses revealed that spelt and bread wheat form two distinct gene pools. In addition, we identified bread wheat landraces that were genetically distinct from modern cultivars. Such accessions were possibly missed in the early Swiss wheat breeding program and are promising targets for the identification of novel genes. The genetic information obtained in this study is appropriate to perform genome-wide association studies, which will facilitate the identification and transfer of agriculturally important genes from the genebank into modern cultivars through marker-assisted selection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 11 19%
Student > Master 5 8%
Professor > Associate Professor 4 7%
Student > Postgraduate 3 5%
Other 4 7%
Unknown 17 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 47%
Biochemistry, Genetics and Molecular Biology 4 7%
Environmental Science 2 3%
Psychology 2 3%
Medicine and Dentistry 2 3%
Other 5 8%
Unknown 16 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 21 April 2018.
All research outputs
#1,942,434
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#121
of 3,565 outputs
Outputs of similar age
#40,181
of 331,789 outputs
Outputs of similar age from Theoretical and Applied Genetics
#5
of 52 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. 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 331,789 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 87% of its contemporaries.
We're also able to compare this research output to 52 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 90% of its contemporaries.