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Proteomics and transcriptomics of the BABA-induced resistance response in potato using a novel functional annotation approach

Overview of attention for article published in BMC Genomics, April 2014
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Title
Proteomics and transcriptomics of the BABA-induced resistance response in potato using a novel functional annotation approach
Published in
BMC Genomics, April 2014
DOI 10.1186/1471-2164-15-315
Pubmed ID
Authors

Therese Bengtsson, Deborah Weighill, Estelle Proux-Wéra, Fredrik Levander, Svante Resjö, Dharani Dhar Burra, Laith Ibrahim Moushib, Pete E Hedley, Erland Liljeroth, Dan Jacobson, Erik Alexandersson, Erik Andreasson

Abstract

Induced resistance (IR) can be part of a sustainable plant protection strategy against important plant diseases. β-aminobutyric acid (BABA) can induce resistance in a wide range of plants against several types of pathogens, including potato infected with Phytophthora infestans. However, the molecular mechanisms behind this are unclear and seem to be dependent on the system studied. To elucidate the defence responses activated by BABA in potato, a genome-wide transcript microarray analysis in combination with label-free quantitative proteomics analysis of the apoplast secretome were performed two days after treatment of the leaf canopy with BABA at two concentrations, 1 and 10 mM.

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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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 <1%
South Africa 1 <1%
Unknown 102 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 17%
Researcher 18 17%
Student > Master 13 13%
Student > Bachelor 11 11%
Professor > Associate Professor 7 7%
Other 17 16%
Unknown 20 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 50%
Biochemistry, Genetics and Molecular Biology 17 16%
Computer Science 3 3%
Medicine and Dentistry 2 2%
Engineering 2 2%
Other 6 6%
Unknown 22 21%
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 03 February 2015.
All research outputs
#18,371,293
of 22,754,104 outputs
Outputs from BMC Genomics
#8,165
of 10,637 outputs
Outputs of similar age
#164,598
of 227,639 outputs
Outputs of similar age from BMC Genomics
#128
of 190 outputs
Altmetric has tracked 22,754,104 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.
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