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Title: High‐throughput profiling and analysis of plant responses over time to abiotic stress

Journal Article · · Plant Direct
DOI:https://doi.org/10.1002/pld3.23· OSTI ID:1406154
 [1];  [1];  [1];  [2];  [3];  [1]
  1. Donald Danforth Plant Science Center Saint Louis MO USA
  2. Department of Agronomy and Horticulture and Center for Plant Science Innovation University of Nebraska–Lincoln Lincoln NE USA
  3. Donald Danforth Plant Science Center Saint Louis MO USA, USDA‐ARS Saint Louis MO USA
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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.

Research Organization:
Donald Danforth Plant Science Center, St. Louis, MO (United States); Univ. of Nebraska, Lincoln, NE (United States)
Sponsoring Organization:
USDOE Office of Science (SC); USDA
Grant/Contract Number:
DE‐SC0014395; DESC0008769; SC0008769; SC0014395
OSTI ID:
1406154
Alternate ID(s):
OSTI ID: 1406156; OSTI ID: 1904496
Journal Information:
Plant Direct, Journal Name: Plant Direct Vol. 1 Journal Issue: 4; ISSN 2475-4455
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
United Kingdom
Language:
English
Citation Metrics:
Cited by: 18 works
Citation information provided by
Web of Science

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59 BASIC BIOLOGICAL SCIENCES
plant sciences
abiotic stress
computational modeling
image analysis
ionomics
large-scale biology
nitrogen stress