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Optical and physical mapping with local finishing enables megabase-scale resolution of agronomically important regions in the wheat genome

Overview of attention for article published in Genome Biology, August 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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 news outlet
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17 X users

Citations

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23 Dimensions

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69 Mendeley
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Title
Optical and physical mapping with local finishing enables megabase-scale resolution of agronomically important regions in the wheat genome
Published in
Genome Biology, August 2018
DOI 10.1186/s13059-018-1475-4
Pubmed ID
Authors

Gabriel Keeble-Gagnère, Philippe Rigault, Josquin Tibbits, Raj Pasam, Matthew Hayden, Kerrie Forrest, Zeev Frenkel, Abraham Korol, B. Emma Huang, Colin Cavanagh, Jen Taylor, Michael Abrouk, Andrew Sharpe, David Konkin, Pierre Sourdille, Benoît Darrier, Frédéric Choulet, Aurélien Bernard, Simone Rochfort, Adam Dimech, Nathan Watson-Haigh, Ute Baumann, Paul Eckermann, Delphine Fleury, Angela Juhasz, Sébastien Boisvert, Marc-Alexandre Nolin, Jaroslav Doležel, Hana Šimková, Helena Toegelová, Jan Šafář, Ming-Cheng Luo, Francisco Câmara, Matthias Pfeifer, Don Isdale, Johan Nyström-Persson, IWGSC, Dal-Hoe Koo, Matthew Tinning, Dangqun Cui, Zhengang Ru, Rudi Appels

Abstract

Numerous scaffold-level sequences for wheat are now being released and, in this context, we report on a strategy for improving the overall assembly to a level comparable to that of the human genome. Using chromosome 7A of wheat as a model, sequence-finished megabase-scale sections of this chromosome were established by combining a new independent assembly using a bacterial artificial chromosome (BAC)-based physical map, BAC pool paired-end sequencing, chromosome-arm-specific mate-pair sequencing and Bionano optical mapping with the International Wheat Genome Sequencing Consortium RefSeq v1.0 sequence and its underlying raw data. The combined assembly results in 18 super-scaffolds across the chromosome. The value of finished genome regions is demonstrated for two approximately 2.5 Mb regions associated with yield and the grain quality phenotype of fructan carbohydrate grain levels. In addition, the 50 Mb centromere region analysis incorporates cytological data highlighting the importance of non-sequence data in the assembly of this complex genome region. Sufficient genome sequence information is shown to now be available for the wheat community to produce sequence-finished releases of each chromosome of the reference genome. The high-level completion identified that an array of seven fructosyl transferase genes underpins grain quality and that yield attributes are affected by five F-box-only-protein-ubiquitin ligase domain and four root-specific lipid transfer domain genes. The completed sequence also includes the centromere.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Ph. D. Student 10 14%
Student > Master 9 13%
Student > Bachelor 6 9%
Student > Doctoral Student 3 4%
Other 8 12%
Unknown 17 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 45%
Biochemistry, Genetics and Molecular Biology 14 20%
Social Sciences 2 3%
Business, Management and Accounting 1 1%
Economics, Econometrics and Finance 1 1%
Other 1 1%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 28 February 2019.
All research outputs
#1,957,474
of 25,385,509 outputs
Outputs from Genome Biology
#1,641
of 4,468 outputs
Outputs of similar age
#39,484
of 341,403 outputs
Outputs of similar age from Genome Biology
#42
of 67 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 63% 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 341,403 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 88% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.