Bioinformatic Identification of Plant Hydroxyproline-Rich Glycoproteins.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2020
Historique:
entrez: 4 7 2020
pubmed: 4 7 2020
medline: 27 2 2021
Statut: ppublish

Résumé

Hydroxyproline-rich glycoproteins (HRGPs) are a superfamily of plant cell wall proteins that function in diverse aspects of plant growth and development. This superfamily consists of three members: arabinogalactan-proteins (AGPs), extensins (EXTs), and proline-rich proteins (PRPs). Hybrid and chimeric HRGPs also exist. A bioinformatic software program, BIO OHIO 2.0, was developed to expedite the genome-wide identification and classification of AGPs, EXTs, and PRPs based on characteristic HRGP motifs and biased amino acid compositions. This chapter explains the principles of identifying HRGPs and provides a stepwise tutorial for using the BIO OHIO 2.0 program with genomic/proteomic data. Here, as an example, the genome/proteome of the common bean (Phaseolus vulgaris) is analyzed using the BIO OHIO 2.0 program to identify and characterize its set of HRGPs.

Identifiants

pubmed: 32617951
doi: 10.1007/978-1-0716-0621-6_26
doi:

Substances chimiques

Glycoproteins 0
Mucoproteins 0
Plant Proteins 0
Proteome 0
arabinogalactan proteins 0
extensin protein, plant 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

463-481

Auteurs

Xiao Liu (X)

Department of Environmental and Plant Biology, Molecular and Cellular Biology Program, Ohio University, Athens, OH, USA.
Russ College of Engineering and Technology, Center for Intelligent, Distributed and Dependable Systems, Ohio University, Athens, OH, USA.

Savannah McKenna (S)

Department of Biological Sciences, Ohio University, Athens, OH, USA.

Lonnie R Welch (LR)

Russ College of Engineering and Technology, Center for Intelligent, Distributed and Dependable Systems, Ohio University, Athens, OH, USA.

Allan M Showalter (AM)

Department of Environmental and Plant Biology, Molecular and Cellular Biology Program, Ohio University, Athens, OH, USA. showalte@ohio.edu.

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Classifications MeSH