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Natural variation in stress response gene activity in the allopolyploid Arabidopsis suecica

Overview of attention for article published in BMC Genomics, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
Natural variation in stress response gene activity in the allopolyploid Arabidopsis suecica
Published in
BMC Genomics, August 2017
DOI 10.1186/s12864-017-4067-x
Pubmed ID
Authors

Keisha D. Carlson, Noe Fernandez-Pozo, Aureliano Bombarely, Rahul Pisupati, Lukas A. Mueller, Andreas Madlung

Abstract

Allopolyploids contain genomes composed of more than two complete sets of chromosomes that originate from at least two species. Allopolyploidy has been suggested as an important evolutionary mechanism that can lead to instant speciation. Arabidopsis suecica is a relatively recent allopolyploid species, suggesting that its natural accessions might be genetically very similar to each other. Nonetheless, subtle phenotypic differences have been described between different geographic accessions of A. suecica grown in a common garden. To determine the degree of genomic similarity between different populations of A. suecica, we obtained transcriptomic sequence, quantified SNP variation within the gene space, and analyzed gene expression levels genome-wide from leaf material grown in controlled lab conditions. Despite their origin from the same progenitor species, the two accessions of A. suecica used in our study show genomic and transcriptomic variation. We report significant gene expression differences between the accessions, mostly in genes with stress-related functions. Among the differentially expressed genes, there are a surprising number of homoeologs coordinately regulated between sister accessions. Many of these homoeologous genes and other differentially expressed genes affect transpiration and stomatal regulation, suggesting that they might be involved in the establishment of the phenotypic differences between the two accessions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 27%
Student > Ph. D. Student 7 7%
Researcher 6 6%
Student > Doctoral Student 2 2%
Student > Master 2 2%
Other 5 5%
Unknown 54 52%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 32%
Agricultural and Biological Sciences 12 12%
Environmental Science 1 <1%
Veterinary Science and Veterinary Medicine 1 <1%
Earth and Planetary Sciences 1 <1%
Other 1 <1%
Unknown 55 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 April 2018.
All research outputs
#4,861,654
of 23,881,329 outputs
Outputs from BMC Genomics
#1,970
of 10,793 outputs
Outputs of similar age
#81,669
of 319,150 outputs
Outputs of similar age from BMC Genomics
#44
of 205 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 319,150 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 74% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.