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Title: Non-targeted Metabolomics in Diverse Sorghum Breeding Lines Indicates Primary and Secondary Metabolite Profiles Are Associated with Plant Biomass Accumulation and Photosynthesis

Abstract

Metabolomics is an emerging method to improve our understanding of how genetic diversity affects phenotypic variation in plants. Recent studies have demonstrated that genotype has a major influence on biochemical variation in several types of plant tissues, however, the association between metabolic variation and variation in morphological and physiological traits is largely unknown. Sorghum bicolor (L.) is an important food and fuel crop with extensive genetic and phenotypic variation. Sorghum lines have been bred for differing phenotypes beneficial for production of grain (food), stem sugar (food, fuel), and cellulosic biomass (forage, fuel), and these varying phenotypes are the end products of innate metabolic programming which determines how carbon is allocated during plant growth and development. Further, sorghum has been adapted among highly diverse environments. Because of this geographic and phenotypic variation, the sorghum metabolome is expected to be highly divergent; however, metabolite variation in sorghum has not been characterized. Here, we utilize a phenotypically diverse panel of sorghum breeding lines to identify associations between leaf metabolites and morpho-physiological traits. The panel (11 lines) exhibited significant variation for 21 morpho-physiological traits, as well as broader trends in variation by sorghum type (grain vs. biomass types). Variation was also observed for cellmore » wall constituents (glucan, xylan, lignin, ash). Non-targeted metabolomics analysis of leaf tissue showed that 956 of 1181 metabolites varied among the lines (81%, ANOVA, FDR adjusted p < 0.05). Both univariate and multivariate analyses determined relationships between metabolites and morpho-physiological traits, and 384 metabolites correlated with at least one trait (32%, p < 0.05), including many secondary metabolites such as glycosylated flavonoids and chlorogenic acids. The use of metabolomics to explain relationships between two or more morpho-physiological traits was explored and showed chlorogenic and shikimic acid to be associated with photosynthesis, early plant growth and final biomass measures in sorghum. In conclusion, taken together, this study demonstrates the integration of metabolomics with morpho-physiological datasets to elucidate links between plant metabolism, growth, and architecture.« less

Authors:
 [1];  [2];  [3];  [1];  [4];  [5];  [5];  [1]
  1. Colorado State Univ., Fort Collins, CO (United States). Dept. of Bioagricultural Sciences and Pest Management
  2. Colorado State Univ., Fort Collins, CO (United States). Dept. of Horticulture and Landscape Architecture
  3. Colorado State Univ., Fort Collins, CO (United States). Dept. of Bioagricultural Sciences and Pest Management; Colorado State Univ., Fort Collins, CO (United States). Proteomics and Metabolomics Facility
  4. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  5. Colorado State Univ., Fort Collins, CO (United States). Proteomics and Metabolomics Facility
Publication Date:
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office
OSTI Identifier:
1279495
Report Number(s):
NREL/JA-5100-66879
Journal ID: ISSN 1664-462X
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Frontiers in Plant Science
Additional Journal Information:
Journal Volume: 7; Journal ID: ISSN 1664-462X
Publisher:
Frontiers Research Foundation
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; sorghum bicolor; GC-MS; LC-MS; biomass; metabolomics; photosynthesis; chlorogenic acid; shikimic acid

Citation Formats

Turner, Marie F., Heuberger, Adam L., Kirkwood, Jay S., Collins, Carl C., Wolfrum, Edward J., Broeckling, Corey D., Prenni, Jessica E., and Jahn, Courtney E. Non-targeted Metabolomics in Diverse Sorghum Breeding Lines Indicates Primary and Secondary Metabolite Profiles Are Associated with Plant Biomass Accumulation and Photosynthesis. United States: N. p., 2016. Web. doi:10.3389/fpls.2016.00953.
Turner, Marie F., Heuberger, Adam L., Kirkwood, Jay S., Collins, Carl C., Wolfrum, Edward J., Broeckling, Corey D., Prenni, Jessica E., & Jahn, Courtney E. Non-targeted Metabolomics in Diverse Sorghum Breeding Lines Indicates Primary and Secondary Metabolite Profiles Are Associated with Plant Biomass Accumulation and Photosynthesis. United States. https://doi.org/10.3389/fpls.2016.00953
Turner, Marie F., Heuberger, Adam L., Kirkwood, Jay S., Collins, Carl C., Wolfrum, Edward J., Broeckling, Corey D., Prenni, Jessica E., and Jahn, Courtney E. Mon . "Non-targeted Metabolomics in Diverse Sorghum Breeding Lines Indicates Primary and Secondary Metabolite Profiles Are Associated with Plant Biomass Accumulation and Photosynthesis". United States. https://doi.org/10.3389/fpls.2016.00953. https://www.osti.gov/servlets/purl/1279495.
@article{osti_1279495,
title = {Non-targeted Metabolomics in Diverse Sorghum Breeding Lines Indicates Primary and Secondary Metabolite Profiles Are Associated with Plant Biomass Accumulation and Photosynthesis},
author = {Turner, Marie F. and Heuberger, Adam L. and Kirkwood, Jay S. and Collins, Carl C. and Wolfrum, Edward J. and Broeckling, Corey D. and Prenni, Jessica E. and Jahn, Courtney E.},
abstractNote = {Metabolomics is an emerging method to improve our understanding of how genetic diversity affects phenotypic variation in plants. Recent studies have demonstrated that genotype has a major influence on biochemical variation in several types of plant tissues, however, the association between metabolic variation and variation in morphological and physiological traits is largely unknown. Sorghum bicolor (L.) is an important food and fuel crop with extensive genetic and phenotypic variation. Sorghum lines have been bred for differing phenotypes beneficial for production of grain (food), stem sugar (food, fuel), and cellulosic biomass (forage, fuel), and these varying phenotypes are the end products of innate metabolic programming which determines how carbon is allocated during plant growth and development. Further, sorghum has been adapted among highly diverse environments. Because of this geographic and phenotypic variation, the sorghum metabolome is expected to be highly divergent; however, metabolite variation in sorghum has not been characterized. Here, we utilize a phenotypically diverse panel of sorghum breeding lines to identify associations between leaf metabolites and morpho-physiological traits. The panel (11 lines) exhibited significant variation for 21 morpho-physiological traits, as well as broader trends in variation by sorghum type (grain vs. biomass types). Variation was also observed for cell wall constituents (glucan, xylan, lignin, ash). Non-targeted metabolomics analysis of leaf tissue showed that 956 of 1181 metabolites varied among the lines (81%, ANOVA, FDR adjusted p < 0.05). Both univariate and multivariate analyses determined relationships between metabolites and morpho-physiological traits, and 384 metabolites correlated with at least one trait (32%, p < 0.05), including many secondary metabolites such as glycosylated flavonoids and chlorogenic acids. The use of metabolomics to explain relationships between two or more morpho-physiological traits was explored and showed chlorogenic and shikimic acid to be associated with photosynthesis, early plant growth and final biomass measures in sorghum. In conclusion, taken together, this study demonstrates the integration of metabolomics with morpho-physiological datasets to elucidate links between plant metabolism, growth, and architecture.},
doi = {10.3389/fpls.2016.00953},
journal = {Frontiers in Plant Science},
number = ,
volume = 7,
place = {United States},
year = {Mon Jul 11 00:00:00 EDT 2016},
month = {Mon Jul 11 00:00:00 EDT 2016}
}

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Genetic mapping of Sorghum bicolor (L.) Moench QTLs that control variation in tillering and other morphological characters
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Rapid and reproducible Agrobacterium-mediated transformation of sorghum
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Highly efficient sorghum transformation
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Characterization, development and mapping of Unigene-derived microsatellite markers in sorghum [Sorghum bicolor (L.) Moench]
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A comparison of different methods to estimate prediction uncertainty using Partial Least Squares (PLS): A practitioner's perspective
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Temperature stress effects in Quercus suber leaf metabolism
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Modulation of chlorogenic acid biosynthesis in Solanum lycopersicum; consequences for phenolic accumulation and UV-tolerance
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Chlorogenic acid participates in the regulation of shoot, root and root hair development in Hypericum perforatum
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Metabolomics-assisted breeding: a viable option for crop improvement?
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High-performance liquid chromatography determination of phenolic acids in potato tubers (Solanum tuberosum) during wound healing
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Compositional Analysis of Lignocellulosic Feedstocks. 1. Review and Description of Methods
journal, August 2010

  • Sluiter, Justin B.; Ruiz, Raymond O.; Scarlata, Christopher J.
  • Journal of Agricultural and Food Chemistry, Vol. 58, Issue 16, p. 9043-9053
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Compositional Analysis of Lignocellulosic Feedstocks. 2. Method Uncertainties
journal, August 2010

  • Templeton, David W.; Scarlata, Christopher J.; Sluiter, Justin B.
  • Journal of Agricultural and Food Chemistry, Vol. 58, Issue 16
  • DOI: 10.1021/jf100807b

Involvement of putative chemical wound signals in the induction of phenolic metabolism in wounded lettuce
journal, January 2002


Repression of lignin biosynthesis promotes cellulose accumulation and growth in transgenic trees
journal, August 1999

  • Hu, Wen-Jing; Harding, Scott A.; Lung, Jrhau
  • Nature Biotechnology, Vol. 17, Issue 8, p. 808-812
  • DOI: 10.1038/11758

Lignin modification improves fermentable sugar yields for biofuel production
journal, June 2007

  • Chen, Fang; Dixon, Richard A.
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