Title
Analysis of glycoside hydrolases from oat (Avena sativa) seedling extract
Authors
Nihed Ben Halima*
Affiliation
Faculty of Medicine of Sfax, University of Sfax, Sfax-Tunisia
Dr. Nihed Ben Halima - Phone: 00216 26 06 19 87; E-mails: nihedbenhalima@gmail.com; nihed.benhalima@medecinesfax.org;*Corresponding author
Article Type
Research Article
Date
Received April 12, 2019; Revised October 7, 2019; Accepted October 12, 2019; Published October 15, 2019
Abstract
The abundance and the diversity of oligo- and polysaccharides
provide a wide range of biological roles attributed either to these
carbohydrates or to their relevant enzymes, i.e., the glycoside
hydrolases (GHs). The biocatalysis by these families of enzymes is
highly
attractive for the generation of products used in potential
applications, e.g., pharmaceuticals and food industries. It is thus
very important
to extract and characterize such enzymes, particularly from plant
tissues. In this study, we characterized novel sequences of class I
chitinases from seedlings extract of the common oat (Avena sativa
L.) using proteomics and sequence-structure-function analysis. These
enzymes, which belong to the GH19 family of protein, were extracted
from oat and identified using SDS-PAGE, trypsin digestion, LC-MSMS,
and sequence-structure-function analysis. The amino acid sequences
of the oat tryptic peptides were used to identify cDNAs from the
Avena sativa databases of the expressed sequence tags (ESTs) and
transcriptome shotgun assembly (TSA). Based upon the Avena sativa
sequences of ESTs and TSA, at least 4 predicted genes that encoded
oat class I chitinases were identified and reported. The structural
characterization of the oat sequences of chitinases provided
valuable insights to the context.
Keywords
Avena sativa; Glycoside hydrolases; GH19; Functional proteomics; Mass spectrometry; Bioinformatics analysis.
Citation
Ben Halima, Bioinformation 15(9): 678-688 (2019)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
