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Exome QTL-seq maps monogenic locus and QTLs in barley

Overview of attention for article published in BMC Genomics, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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1 patent
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1 Facebook page

Citations

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28 Dimensions

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58 Mendeley
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Title
Exome QTL-seq maps monogenic locus and QTLs in barley
Published in
BMC Genomics, February 2017
DOI 10.1186/s12864-017-3511-2
Pubmed ID
Authors

Hiroshi Hisano, Kazuki Sakamoto, Hiroki Takagi, Ryohei Terauchi, Kazuhiro Sato

Abstract

QTL-seq, in combination with bulked segregant analysis and next-generation sequencing (NGS), is used to identify loci in small plant genomes, but is technically challenging to perform in species with large genomes, such as barley. A combination of exome sequencing and QTL-seq (exome QTL-seq) was used to map the mono-factorial Mendelian locus black lemma and pericarp (Blp) and QTLs for resistance to net blotch disease, a common disease of barley caused by the fungus Pyrenophora teres, which segregated in a population of 100 doubled haploid barley lines. The provisional exome sequences were prepared by ordering the loci of expressed genes based on the genome information and concatenating genes with intervals of 200-bp spacer "N" for each chromosome. The QTL-seq pipeline was used to analyze short reads from the exome-captured library. In this study, short NGS reads of bulked total DNA samples from segregants with extreme trait values were subjected to exome capture, and the resulting exome sequences were aligned to the reference genome. SNP allele frequencies were compared to identify the locations of genes/QTLs responsible for the trait value differences between lines. For both objective traits examined, exome QTL-seq identified the monogenic Mendelian locus and associated QTLs. These findings were validated using conventional mapping approaches. Exome QTL-seq broadens the utility of NGS-based gene/QTL mapping in organisms with large genomes.

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Germany 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 29%
Researcher 13 22%
Student > Master 6 10%
Student > Doctoral Student 5 9%
Student > Bachelor 2 3%
Other 6 10%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 71%
Biochemistry, Genetics and Molecular Biology 6 10%
Business, Management and Accounting 1 2%
Unknown 10 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 March 2019.
All research outputs
#4,437,291
of 14,839,307 outputs
Outputs from BMC Genomics
#2,568
of 8,570 outputs
Outputs of similar age
#117,305
of 352,449 outputs
Outputs of similar age from BMC Genomics
#8
of 28 outputs
Altmetric has tracked 14,839,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,570 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 69% 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 352,449 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.