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Sequence divergence between spelt and common wheat

Overview of attention for article published in Theoretical and Applied Genetics, February 2018
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Title
Sequence divergence between spelt and common wheat
Published in
Theoretical and Applied Genetics, February 2018
DOI 10.1007/s00122-018-3064-z
Pubmed ID
Authors

Miao Liu, Qiang Zhao, Feng Qi, Jiri Stiller, Shican Tang, Jiashun Miao, Jan Vrána, Kateřina Holušová, Dengcai Liu, Jaroslav Doležel, John M. Manners, Bin Han, Chunji Liu

Abstract

Sequence comparison between spelt and common wheat reveals that the former has huge potential in enriching the genetic variation of the latter. Genetic variation is the foundation of crop improvement. By comparing genome sequences of a Triticum spelta accession and one of its derived hexaploid lines with the sequences of the international reference genotype Chinese Spring, we detected variants more than tenfold higher than those present among common wheat (T. aestivum L) genotypes. Furthermore, different from the typical 'V-shaped' pattern of variant distribution often observed along wheat chromosomes, the sequence variation detected in this study was more evenly distributed along the 3B chromosome. This was also the case between T. spelta and the wild emmer genome. Genetic analysis showed that T. spelta and common wheat formed discrete groups. These results showed that, although it is believed that the spelt and common wheat are evolutionarily closely related and belong to the same species, a significant sequence divergence exists between them. Thus, the values of T. spelta in enriching the genetic variation of common wheat can be huge.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 31%
Student > Ph. D. Student 5 19%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Student > Master 2 8%
Other 1 4%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 58%
Biochemistry, Genetics and Molecular Biology 4 15%
Unknown 7 27%
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 25 April 2018.
All research outputs
#19,201,293
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#3,124
of 3,565 outputs
Outputs of similar age
#336,440
of 446,159 outputs
Outputs of similar age from Theoretical and Applied Genetics
#36
of 48 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.