High‐throughput profiling and analysis of plant responses over time to abiotic stress
Abstract
Abstract Sorghum ( Sorghum bicolor (L.) Moench) is a rapidly growing, high‐biomass crop prized for abiotic stress tolerance. However, measuring genotype‐by‐environment (G x E) interactions remains a progress bottleneck. We subjected a panel of 30 genetically diverse sorghum genotypes to a spectrum of nitrogen deprivation and measured responses using high‐throughput phenotyping technology followed by ionomic profiling. Responses were quantified using shape (16 measurable outputs), color (hue and intensity), and ionome (18 elements). We measured the speed at which specific genotypes respond to environmental conditions, in terms of both biomass and color changes, and identified individual genotypes that perform most favorably. With this analysis, we present a novel approach to quantifying color‐based stress indicators over time. Additionally, ionomic profiling was conducted as an independent, low‐cost, and high‐throughput option for characterizing G x E, identifying the elements most affected by either genotype or treatment and suggesting signaling that occurs in response to the environment. This entire dataset and associated scripts are made available through an open‐access, user‐friendly, web‐based interface. In summary, this work provides analysis tools for visualizing and quantifying plant abiotic stress responses over time. These methods can be deployed as a time‐efficient method of dissecting the genetic mechanisms used bymore »
- Authors:
-
- Donald Danforth Plant Science Center Saint Louis MO USA
- Department of Agronomy and Horticulture and Center for Plant Science Innovation University of Nebraska–Lincoln Lincoln NE USA
- Donald Danforth Plant Science Center Saint Louis MO USA, USDA‐ARS Saint Louis MO USA
- Publication Date:
- Research Org.:
- Donald Danforth Plant Science Center, St. Louis, MO (United States); Univ. of Nebraska, Lincoln, NE (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); USDA
- OSTI Identifier:
- 1406154
- Alternate Identifier(s):
- OSTI ID: 1406156; OSTI ID: 1904496
- Grant/Contract Number:
- DE‐SC0014395; DESC0008769; SC0008769; SC0014395
- Resource Type:
- Published Article
- Journal Name:
- Plant Direct
- Additional Journal Information:
- Journal Name: Plant Direct Journal Volume: 1 Journal Issue: 4; Journal ID: ISSN 2475-4455
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; plant sciences; abiotic stress; computational modeling; image analysis; ionomics; large-scale biology; nitrogen stress
Citation Formats
Veley, Kira M., Berry, Jeffrey C., Fentress, Sarah J., Schachtman, Daniel P., Baxter, Ivan, and Bart, Rebecca. High‐throughput profiling and analysis of plant responses over time to abiotic stress. United Kingdom: N. p., 2017.
Web. doi:10.1002/pld3.23.
Veley, Kira M., Berry, Jeffrey C., Fentress, Sarah J., Schachtman, Daniel P., Baxter, Ivan, & Bart, Rebecca. High‐throughput profiling and analysis of plant responses over time to abiotic stress. United Kingdom. https://doi.org/10.1002/pld3.23
Veley, Kira M., Berry, Jeffrey C., Fentress, Sarah J., Schachtman, Daniel P., Baxter, Ivan, and Bart, Rebecca. Wed .
"High‐throughput profiling and analysis of plant responses over time to abiotic stress". United Kingdom. https://doi.org/10.1002/pld3.23.
@article{osti_1406154,
title = {High‐throughput profiling and analysis of plant responses over time to abiotic stress},
author = {Veley, Kira M. and Berry, Jeffrey C. and Fentress, Sarah J. and Schachtman, Daniel P. and Baxter, Ivan and Bart, Rebecca},
abstractNote = {Abstract Sorghum ( Sorghum bicolor (L.) Moench) is a rapidly growing, high‐biomass crop prized for abiotic stress tolerance. However, measuring genotype‐by‐environment (G x E) interactions remains a progress bottleneck. We subjected a panel of 30 genetically diverse sorghum genotypes to a spectrum of nitrogen deprivation and measured responses using high‐throughput phenotyping technology followed by ionomic profiling. Responses were quantified using shape (16 measurable outputs), color (hue and intensity), and ionome (18 elements). We measured the speed at which specific genotypes respond to environmental conditions, in terms of both biomass and color changes, and identified individual genotypes that perform most favorably. With this analysis, we present a novel approach to quantifying color‐based stress indicators over time. Additionally, ionomic profiling was conducted as an independent, low‐cost, and high‐throughput option for characterizing G x E, identifying the elements most affected by either genotype or treatment and suggesting signaling that occurs in response to the environment. This entire dataset and associated scripts are made available through an open‐access, user‐friendly, web‐based interface. In summary, this work provides analysis tools for visualizing and quantifying plant abiotic stress responses over time. These methods can be deployed as a time‐efficient method of dissecting the genetic mechanisms used by sorghum to respond to the environment to accelerate crop improvement.},
doi = {10.1002/pld3.23},
journal = {Plant Direct},
number = 4,
volume = 1,
place = {United Kingdom},
year = {Wed Oct 25 00:00:00 EDT 2017},
month = {Wed Oct 25 00:00:00 EDT 2017}
}
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