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Optimization of Phenotyping Assays for the Model Monocot Setaria viridis

Overview of attention for article published in Frontiers in Plant Science, December 2017
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Title
Optimization of Phenotyping Assays for the Model Monocot Setaria viridis
Published in
Frontiers in Plant Science, December 2017
DOI 10.3389/fpls.2017.02172
Pubmed ID
Authors

Biswa R. Acharya, Swarup Roy Choudhury, Aiden B. Estelle, Anitha Vijayakumar, Chuanmei Zhu, Laryssa Hovis, Sona Pandey

Abstract

Setaria viridis (green foxtail) is an important model plant for the study of C4 photosynthesis in panicoid grasses, and is fast emerging as a system of choice for the study of plant development, domestication, abiotic stress responses and evolution. Basic research findings in Setaria are expected to advance research not only in this species and its close relative S. italica (foxtail millet), but also in other panicoid grasses, many of which are important food or bioenergy crops. Here we report on the standardization of multiple growth and development assays for S. viridis under controlled conditions, and in response to several phytohormones and abiotic stresses. We optimized these assays at three different stages of the plant's life: seed germination and post-germination growth using agar plate-based assays, early seedling growth and development using germination pouch-based assays, and adult plant growth and development under environmentally controlled growth chambers and greenhouses. These assays will be useful for the community to perform large scale phenotyping analyses, mutant screens, comparative physiological analysis, and functional characterization of novel genes of Setaria or other related agricultural crops. Precise description of various growth conditions, effective treatment conditions and description of the resultant phenotypes will help expand the use of S. viridis as an effective model system.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Master 8 15%
Student > Ph. D. Student 7 13%
Student > Bachelor 6 11%
Student > Doctoral Student 5 9%
Other 8 15%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 47%
Biochemistry, Genetics and Molecular Biology 12 22%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Psychology 1 2%
Other 2 4%
Unknown 12 22%
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 January 2018.
All research outputs
#20,461,148
of 23,018,998 outputs
Outputs from Frontiers in Plant Science
#16,419
of 20,534 outputs
Outputs of similar age
#376,551
of 440,938 outputs
Outputs of similar age from Frontiers in Plant Science
#366
of 436 outputs
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We're also able to compare this research output to 436 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.