Full TGIF Record # 333423
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Web URL(s):https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/150424
    Last checked: 12/01/2023
Publication Type:
Content Type:Abstract or Summary only
Author(s):Freund, Katrina; Hegeman, Adrian; Watkins, Eric
Author Affiliation:Freund: Presenting Author and University of Minnesota, Saint Paul, MN; Hegeman: University of Minnesota; Watkins: University of Minnesota-Twin Cities
Title:Optimizing methods for turfgrass metabolomics
Section:Turfgrass physiology, molecular biology, breeding, genetic and microbiome poster (includes student competition)
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C05 turfgrass science
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Meeting Info.:St. Louis, Missouri: October 29-November 1, 2023
Source:ASA, CSSA, SSSA International Annual Meeting. 2023, p. 150424.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"Perennial ryegrass (Lolium perenne) is an economically important turfgrass and forage grass. Although its rapid germination and quick establishment make it a valuable component of lawns, its use in northern climates is limited by its susceptibility to prolonged periods of extreme low temperatures and efforts are underway to develop cold-tolerant cultivars. A plants tolerance to freezing is the result of various physiological and metabolic changes that occur during the cold acclimation process. Previous research has identified genes associated with cold acclimation in perennial ryegrass, and work in other grass species has identified amino acids, soluble sugars, fructans, phenylpropanoids, and phytohormones associated with increased membrane stability, slowed growth, and reduced freezing. However, little is known about metabolic changes and their correlation with transcriptome changes in perennial ryegrass throughout the acclimation process. Prior to a large-scale screening of diverse perennial ryegrass accessions for the association of freezing tolerance with specific metabolites, standardized methods to assess appropriate sampling time points and tissue types must be established. Untargeted UHPLC-MS methods, in combination with traditional screens for cold tolerance (e.g. LT50) and transcriptomic analyses, were utilized to 1) examine the correlation between metabolite profiles of different tissue types to determine if leaf tissue is a useful proxy for destructive sampling of crown tissue and 2) determine when peak gene expression for cold tolerance occurs to better determine sampling days that best capture overall expression trends. This work is guiding the development of cold-tolerant perennial ryegrass germplasm while also establishing standardized procedures for expanding comprehensive transcriptomic, proteomic, and metabolomic profiling methods to further turfgrass species."
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Freund, K., A. Hegeman, and E. Watkins. 2023. Optimizing methods for turfgrass metabolomics. Agron. Abr. p. 150424.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=333423
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    Last checked: 12/01/2023
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