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Regulatory modules controlling early shade avoidance response in maize seedlings

Overview of attention for article published in BMC Genomics, March 2016
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Title
Regulatory modules controlling early shade avoidance response in maize seedlings
Published in
BMC Genomics, March 2016
DOI 10.1186/s12864-016-2593-6
Pubmed ID
Authors

Hai Wang, Guangxia Wu, Binbin Zhao, Baobao Wang, Zhihong Lang, Chunyi Zhang, Haiyang Wang

Abstract

Optimization of shade avoidance response (SAR) is crucial for enhancing crop yield in high-density planting conditions in modern agriculture, but a comprehensive study of the regulatory network of SAR is still lacking in monocot crops. In this study, the genome-wide early responses in maize seedlings to the simulated shade (low red/far-red ratio) and also to far-red light treatment were transcriptionally profiled. The two processes were predominantly mediated by phytochrome B and phytochrome A, respectively. Clustering of differentially transcribed genes (DTGs) along with functional enrichment analysis identified important biological processes regulated in response to both treatments. Co-expression network analysis identified two transcription factor modules as potentially pivotal regulators of SAR and de-etiolation, respectively. A comprehensive cross-species comparison of orthologous DTG pairs between maize and Arabidopsis in SAR was also conducted, with emphasis on regulatory circuits controlling accelerated flowering and elongated growth, two physiological hallmarks of SAR. Moreover, it was found that the genome-wide distribution of DTGs in SAR and de-etiolation both biased toward the maize1 subgenome, and this was associated with differential retention of various cis-elements between the two subgenomes. The results provide the first transcriptional picture for the early dynamics of maize phytochrome signaling. Candidate genes with regulatory functions involved in maize shade avoidance response have been identified, offering a starting point for further functional genomics investigation of maize adaptation to heavily shaded field conditions.

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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 %
Sri Lanka 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Researcher 9 18%
Student > Master 7 14%
Student > Doctoral Student 4 8%
Professor 3 6%
Other 5 10%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 52%
Biochemistry, Genetics and Molecular Biology 6 12%
Environmental Science 2 4%
Immunology and Microbiology 1 2%
Materials Science 1 2%
Other 0 0%
Unknown 14 28%
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 01 April 2016.
All research outputs
#18,449,393
of 22,858,915 outputs
Outputs from BMC Genomics
#8,188
of 10,662 outputs
Outputs of similar age
#220,314
of 301,001 outputs
Outputs of similar age from BMC Genomics
#198
of 228 outputs
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So far Altmetric has tracked 10,662 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.