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Organ specificity and transcriptional control of metabolic routes revealed by expression QTL profiling of source-sink tissues in a segregating potato population

Overview of attention for article published in BMC Plant Biology, February 2012
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1 X user

Citations

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17 Dimensions

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70 Mendeley
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Title
Organ specificity and transcriptional control of metabolic routes revealed by expression QTL profiling of source-sink tissues in a segregating potato population
Published in
BMC Plant Biology, February 2012
DOI 10.1186/1471-2229-12-17
Pubmed ID
Authors

Bjorn Kloosterman, AM Anithakumari, Pierre-Yves Chibon, Marian Oortwijn, Gerard C van der Linden, Richard GF Visser, Christian WB Bachem

Abstract

With the completion of genome sequences belonging to some of the major crop plants, new challenges arise to utilize this data for crop improvement and increased food security. The field of genetical genomics has the potential to identify genes displaying heritable differential expression associated to important phenotypic traits. Here we describe the identification of expression QTLs (eQTLs) in two different potato tissues of a segregating potato population and query the potato genome sequence to differentiate between cis- and trans-acting eQTLs in relation to gene subfunctionalization.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
Brazil 2 3%
Germany 1 1%
France 1 1%
South Africa 1 1%
Spain 1 1%
United States 1 1%
Unknown 61 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 33%
Student > Ph. D. Student 15 21%
Professor > Associate Professor 7 10%
Student > Master 7 10%
Professor 3 4%
Other 7 10%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 69%
Biochemistry, Genetics and Molecular Biology 10 14%
Computer Science 1 1%
Unspecified 1 1%
Unknown 10 14%
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 09 February 2012.
All research outputs
#18,304,230
of 22,662,201 outputs
Outputs from BMC Plant Biology
#2,064
of 3,205 outputs
Outputs of similar age
#197,096
of 247,589 outputs
Outputs of similar age from BMC Plant Biology
#30
of 44 outputs
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