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Shaping plant architecture

Overview of attention for article published in Frontiers in Plant Science, April 2015
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Title
Shaping plant architecture
Published in
Frontiers in Plant Science, April 2015
DOI 10.3389/fpls.2015.00233
Pubmed ID
Authors

Thomas Teichmann, Merlin Muhr

Abstract

Plants exhibit phenotypical plasticity. Their general body plan is genetically determined, but plant architecture and branching patterns are variable and can be adjusted to the prevailing environmental conditions. The modular design of the plant facilitates such morphological adaptations. The prerequisite for the formation of a branch is the initiation of an axillary meristem. Here, we review the current knowledge about this process. After its establishment, the meristem can develop into a bud which can either become dormant or grow out and form a branch. Many endogenous factors, such as photoassimilate availability, and exogenous factors like nutrient availability or shading, have to be integrated in the decision whether a branch is formed. The underlying regulatory network is complex and involves phytohormones and transcription factors. The hormone auxin is derived from the shoot apex and inhibits bud outgrowth indirectly in a process termed apical dominance. Strigolactones appear to modulate apical dominance by modification of auxin fluxes. Furthermore, the transcription factor BRANCHED1 plays a central role. The exact interplay of all these factors still remains obscure and there are alternative models. We discuss recent findings in the field along with the major models. Plant architecture is economically significant because it affects important traits of crop and ornamental plants, as well as trees cultivated in forestry or on short rotation coppices. As a consequence, plant architecture has been modified during plant domestication. Research revealed that only few key genes have been the target of selection during plant domestication and in breeding programs. Here, we discuss such findings on the basis of various examples. Architectural ideotypes that provide advantages for crop plant management and yield are described. We also outline the potential of breeding and biotechnological approaches to further modify and improve plant architecture for economic needs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Germany 1 <1%
Brazil 1 <1%
Czechia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 270 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 25%
Researcher 54 20%
Student > Master 24 9%
Student > Bachelor 24 9%
Student > Doctoral Student 14 5%
Other 41 15%
Unknown 51 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 160 58%
Biochemistry, Genetics and Molecular Biology 38 14%
Environmental Science 9 3%
Psychology 2 <1%
Medicine and Dentistry 2 <1%
Other 7 3%
Unknown 58 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 28 May 2020.
All research outputs
#20,466,701
of 23,025,074 outputs
Outputs from Frontiers in Plant Science
#16,434
of 20,556 outputs
Outputs of similar age
#224,626
of 265,362 outputs
Outputs of similar age from Frontiers in Plant Science
#223
of 267 outputs
Altmetric has tracked 23,025,074 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 20,556 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 265,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 267 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.