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New layers in understanding and predicting α-linolenic acid content in plants using amino acid chara...

New layers in understanding and predicting α-linolenic acid content in plants using amino acid chara...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1647003811

New layers in understanding and predicting α-linolenic acid content in plants using amino acid characteristics of omega-3 fatty acid desaturase

About this item

Full title

New layers in understanding and predicting α-linolenic acid content in plants using amino acid characteristics of omega-3 fatty acid desaturase

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2014-11, Vol.54, p.14-23

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

Abstract α-linolenic acid (ALA) is the most frequent omega-3 in plants. The content of ALA is highly variable, ranging from 0 to 1% in rice and corn to >50% in perilla and flax. ALA production is strongly correlated with the enzymatic activity of omega-3 fatty acid desaturase. To unravel the underlying mechanisms of omega-3 diversity, 895 protein f...

Alternative Titles

Full title

New layers in understanding and predicting α-linolenic acid content in plants using amino acid characteristics of omega-3 fatty acid desaturase

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1647003811

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1647003811

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2014.08.019

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