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Proteome Phenotypes Discriminate the Growing Location and Malting Traits in Field-Grown Barley.
Bahmani, Mahya; Juhász, Angéla; Broadbent, James; Bose, Utpal; Nye-Wood, Mitchell G; Edwards, Ian B; Colgrave, Michelle L.
Affiliation
  • Bahmani M; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, Edith Cowan University, School of Science, 270 Joondalup Dr, Joondalup, WA 6027, Australia.
  • Juhász A; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, Edith Cowan University, School of Science, 270 Joondalup Dr, Joondalup, WA 6027, Australia.
  • Broadbent J; CSIRO Agriculture and Food, 306 Carmody Rd, St. Lucia, QLD 4067, Australia.
  • Bose U; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, Edith Cowan University, School of Science, 270 Joondalup Dr, Joondalup, WA 6027, Australia.
  • Nye-Wood MG; CSIRO Agriculture and Food, 306 Carmody Rd, St. Lucia, QLD 4067, Australia.
  • Edwards IB; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, Edith Cowan University, School of Science, 270 Joondalup Dr, Joondalup, WA 6027, Australia.
  • Colgrave ML; Edstar Genetics Pty Ltd., SABC, Loneragan Building, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia.
J Agric Food Chem ; 70(34): 10680-10691, 2022 Aug 31.
Article in En | MEDLINE | ID: mdl-35981222
Barley is one of the key cereal grains for malting and brewing industries. However, climate variability and unprecedented weather events can impact barley yield and end-product quality. The genetic background and environmental conditions are key factors in defining the barley proteome content and malting characteristics. Here, we measure the barley proteome and malting characteristics of three barley lines grown in Western Australia, differing in genetic background and growing location, by applying liquid chromatography-mass spectrometry (LC-MS). Using data-dependent acquisition LC-MS, 1571 proteins were detected with high confidence. Quantitative data acquired using sequential window acquisition of all theoretical (SWATH) MS on barley samples resulted in quantitation of 920 proteins. Multivariate analyses revealed that the barley lines' genetics and their growing locations are strongly correlated between proteins and desired traits such as the malt yield. Linking meteorological data with proteomic measurements revealed how high-temperature stress in northern regions affects seed temperature tolerance during malting, resulting in a higher malt yield. Our results show the impact of environmental conditions on the barley proteome and malt characteristics; these findings have the potential to expedite breeding programs and malt quality prediction.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hordeum Type of study: Prognostic_studies Language: En Journal: J Agric Food Chem Year: 2022 Document type: Article Affiliation country: Australia Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hordeum Type of study: Prognostic_studies Language: En Journal: J Agric Food Chem Year: 2022 Document type: Article Affiliation country: Australia Country of publication: United States