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Cloning of cDNA sequences encoding cowpea (Vigna unguiculata) vicilins: Computational simulations suggest a binding mode of cowpea vicilins to chitin oligomers.

Authors :
Rocha AJ
Sousa BL
Girão MS
Barroso-Neto IL
Monteiro-Júnior JE
Oliveira JTA
Nagano CS
Carneiro RF
Monteiro-Moreira ACO
Rocha BAM
Freire VN
Grangeiro TB
Source :
International journal of biological macromolecules [Int J Biol Macromol] 2018 Oct 01; Vol. 117, pp. 565-573. Date of Electronic Publication: 2018 May 27.
Publication Year :
2018

Abstract

Vicilins are 7S globulins which constitute the major seed storage proteins in leguminous species. Variant vicilins showing differential binding affinities for chitin have been implicated in the resistance and susceptibility of cowpea to the bruchid Callosobruchus maculatus. These proteins are members of the cupin superfamily, which includes a wide variety of enzymes and non-catalytic seed storage proteins. The cupin fold does not share similarity with any known chitin-biding domain. Therefore, it is poorly understood how these storage proteins bind to chitin. In this work, partial cDNA sequences encoding β-vignin, the major component of cowpea vicilins, were obtained from developing seeds. Three-dimensional molecular models of β-vignin showed the characteristic cupin fold and computational simulations revealed that each vicilin trimer contained 3 chitin-binding sites. Interaction models showed that chito-oligosaccharides bound to β-vignin were stabilized mainly by hydrogen bonds, a common structural feature of typical carbohydrate-binding proteins. Furthermore, many of the residues involved in the chitin-binding sites of β-vignin are conserved in other 7S globulins. These results support previous experimental evidences on the ability of vicilin-like proteins from cowpea and other leguminous species to bind in vitro to chitin as well as in vivo to chitinous structures of larval C. maculatus midgut.<br /> (Copyright © 2018 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-0003
Volume :
117
Database :
MEDLINE
Journal :
International journal of biological macromolecules
Publication Type :
Academic Journal
Accession number :
29847781
Full Text :
https://doi.org/10.1016/j.ijbiomac.2018.05.197