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New insights into phospholipases in oat (Avena sativa) from bioinformatic analysis

Author:
Ben Halima, Nihed
Source:
International journal of biological macromolecules 2019 v.133 pp. 804-810
ISSN:
0141-8130
Subject:
Avena sativa, biocatalysts, bioinformatics, databases, genes, oats, phospholipases, proteins, proteomics, sequence analysis, transcriptome
Abstract:
Phospholipases from plants in particular from oat (Avena sativa) could not be purified to homogeneity due to their association with other proteins. Interestingly, bioinformatics is a useful tool for the identification of such new sequences of enzymes. The Avena sativa phospholipases could be identified by functional proteomics and bioinformatics analysis with the aid of database searches. Based upon Transcriptome Shotgun Assembly (TSA) sequences, predicted genes were identified for Avena sativa PLD, PLA, and PLC, and assigned as AsPLD1, AsPLA2_1, and AsPiPLC1, respectively. Insights into the structural characterization of the oat predicted enzymes were analyzed using in silico approaches.Our results on sequence analysis of the oat phospholipases provide a detail view of the main residues' characteristics of such biocatalysts.
Agid:
6379302