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Genome-Wide Transcriptional Profiling to Elucidate Key Candidates Involved in Bud Burst and Rattling Growth in a Subtropical Bamboo (Dendrocalamus hamiltonii)

Overview of attention for article published in Frontiers in Plant Science, January 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
Genome-Wide Transcriptional Profiling to Elucidate Key Candidates Involved in Bud Burst and Rattling Growth in a Subtropical Bamboo (Dendrocalamus hamiltonii)
Published in
Frontiers in Plant Science, January 2017
DOI 10.3389/fpls.2016.02038
Pubmed ID
Authors

Abhishek Bhandawat, Gagandeep Singh, Romit Seth, Pradeep Singh, Ram K. Sharma

Abstract

Bamboo, one of the fastest growing plants, can be a promising model system to understand growth. The study provides an insight into the complex interplay between environmental signaling and cellular machineries governing initiation and persistence of growth in a subtropical bamboo (Dendrocalamus hamiltonii). Phenological and spatio-temporal transcriptome analysis of rhizome and shoot during the major vegetative developmental transitions of D. hamiltonii was performed to dissect factors governing growth. Our work signifies the role of environmental cues, predominantly rainfall, decreasing day length, and high humidity for activating dormant bud to produce new shoot, possibly through complex molecular interactions among phosphatidylinositol, calcium signaling pathways, phytohormones, circadian rhythm, and humidity responses. We found the coordinated regulation of auxin, cytokinin, brassinosteroid signaling and cell cycle modulators; facilitating cell proliferation, cell expansion, and cell wall biogenesis supporting persistent growth of emerging shoot. Putative master regulators among these candidates were identified using predetermined Arabidopsis thaliana protein-protein interaction network. We got clues that the growth signaling begins far back in rhizome even before it emerges out as new shoot. Putative growth candidates identified in our study can serve in devising strategies to engineer bamboos and timber trees with enhanced growth and biomass potentials.

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X Demographics

The data shown below were collected from the profiles of 5 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 16%
Researcher 4 16%
Student > Ph. D. Student 4 16%
Professor 2 8%
Student > Doctoral Student 1 4%
Other 5 20%
Unknown 5 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Biochemistry, Genetics and Molecular Biology 5 20%
Environmental Science 1 4%
Arts and Humanities 1 4%
Computer Science 1 4%
Other 0 0%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 May 2017.
All research outputs
#6,464,013
of 22,947,506 outputs
Outputs from Frontiers in Plant Science
#3,706
of 20,373 outputs
Outputs of similar age
#122,386
of 422,172 outputs
Outputs of similar age from Frontiers in Plant Science
#86
of 529 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 20,373 research outputs from this source. They receive a mean Attention Score of 4.0. 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 422,172 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 70% of its contemporaries.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.