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Shotgun proteomics of the barley seed proteome

Overview of attention for article published in BMC Genomics, January 2017
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Title
Shotgun proteomics of the barley seed proteome
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3408-5
Pubmed ID
Authors

Ramamurthy Mahalingam

Abstract

Barley seed proteins are of prime importance to the brewing industry, human and animal nutrition and in plant breeding for cultivar identification. To obtain comprehensive proteomic data from seeds, total protein from a two-rowed (Conrad) and a six-rowed (Lacey) barley cultivar were precipitated in acetone, digested in-solution, and the resulting peptides were analyzed by nano-liquid chromatography coupled with tandem mass spectrometry. The raw mass spectra data searched against Uniprot's Barley database using in-house Mascot search engine identified 1168 unique proteins. Gene Ontology (GO) analysis indicated that the majority of the seed proteins were cytosolic, with catalytic activity and associated with carbohydrate metabolism. Spectral counting analysis showed that there are 20 differentially abundant seed proteins between the two-rowed Conrad and six-rowed Lacey cultivars. This study paves the way for the use of a top-down gel-free proteomics strategy in barley for investigating more complex traits such as malting quality. Differential abundance of hordoindoline proteins impact the seed hardness trait of barley cultivars.

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Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 10 16%
Student > Master 7 11%
Student > Bachelor 4 6%
Other 4 6%
Other 7 11%
Unknown 20 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 38%
Biochemistry, Genetics and Molecular Biology 7 11%
Engineering 3 5%
Chemistry 3 5%
Arts and Humanities 1 2%
Other 1 2%
Unknown 25 39%