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Skewing in Arabidopsis roots involves disparate environmental signaling pathways

Overview of attention for article published in BMC Plant Biology, February 2017
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Title
Skewing in Arabidopsis roots involves disparate environmental signaling pathways
Published in
BMC Plant Biology, February 2017
DOI 10.1186/s12870-017-0975-9
Pubmed ID
Authors

Eric R. Schultz, Agata K. Zupanska, Natasha J. Sng, Anna-Lisa Paul, Robert J. Ferl

Abstract

Skewing root patterns provide key insights into root growth strategies and mechanisms that produce root architectures. Roots exhibit skewing and waving when grown on a tilted, impenetrable surface. The genetics guiding these morphologies have been examined, revealing that some Arabidopsis ecotypes skew and wave (e.g. WS), while others skew insignificantly but still wave (e.g. Col-0). The underlying molecular mechanisms of skewing and waving remain unclear. In this study, transcriptome data were derived from two Arabidopsis ecotypes, WS and Col-0, under three tilted growth conditions in order to identify candidate genes involved in skewing. This work identifies a number of genes that are likely involved in skewing, using growth conditions that differentially affect skewing and waving. Comparing the gene expression profiles of WS and Col-0 in different tilted growth conditions identified 11 candidate genes as potentially involved in the control of skewing. These 11 genes are involved in several different cellular processes, including sugar transport, salt signaling, cell wall organization, and hormone signaling. This study identified 11 genes whose change in expression level is associated with root skewing behavior. These genes are involved in signaling and perception, rather than the physical restructuring of root. Future work is needed to elucidate the potential role of these candidate genes during root skewing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
France 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 30%
Researcher 10 20%
Student > Bachelor 5 10%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 5 10%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 44%
Biochemistry, Genetics and Molecular Biology 12 24%
Engineering 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Physics and Astronomy 1 2%
Other 3 6%
Unknown 9 18%
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 02 February 2017.
All research outputs
#20,400,885
of 22,950,943 outputs
Outputs from BMC Plant Biology
#2,536
of 3,271 outputs
Outputs of similar age
#356,075
of 420,361 outputs
Outputs of similar age from BMC Plant Biology
#23
of 30 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,271 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.