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Related Concept Videos

Proteomics01:33

Proteomics

8.4K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
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Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

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Mining the Wheat Grain Proteome.

Delphine Vincent1, AnhDuyen Bui1, Doris Ram1

  • 1Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC 3083, Australia.

International Journal of Molecular Sciences
|January 21, 2022
PubMed
Summary
This summary is machine-generated.

Developing an optimized proteomics method allows for rapid screening of wheat varieties, accelerating genetic gains for improved crop yield and quality to meet global food demands.

Keywords:
LC–MS/MSTriticum aestivumdata miningnormalisationproteaseshotgun proteomics

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Area of Science:

  • Agricultural Science
  • Proteomics
  • Biotechnology

Background:

  • Bread wheat is a vital global crop for food and animal feed.
  • Accelerated genetic gain is crucial for increasing wheat production to meet rising population demands.
  • Early selection tools are needed to improve wheat breeding efficiency and grain quality.

Purpose of the Study:

  • To optimize a robust liquid chromatography-mass spectrometry (LC-MS) shotgun quantitative proteomics method.
  • To enable high-throughput screening of thousands of wheat genotypes for breeding purposes.
  • To identify optimal parameters for wheat flour proteome analysis.

Main Methods:

  • Optimization of resuspension ratios, extraction buffers, and protease treatments.
  • Utilized LC-MS/MS for protein identification and selection of optimal parameters.
  • Validated the optimized method on an independent set of 96 wheat cultivars.

Main Results:

  • Identified a total of 8738 wheat proteins.
  • Established a validated LC-MS shotgun quantitative proteomics method for wheat screening.
  • Demonstrated effective normalization using sample weights, internal standards, and quality controls.

Conclusions:

  • The optimized proteomics method significantly enhances the ability to screen wheat genotypes.
  • This advancement aids breeders in selecting superior lines for increased yield and quality.
  • Integrated data mining tools facilitate comprehensive exploration of the wheat flour proteome.