Close
Help
Need Help?





JOURNAL

Bioinformatics and Biology Insights

364,942 Journal Article Views | Journal Analytics

Evolutionary Pattern of N-Glycosylation Sequon Numbers  in Eukaryotic ABC Protein Superfamilies

Submit a Paper



Publication Date: 17 Feb 2010

Type: Original Research

Journal: Bioinformatics and Biology Insights

Citation: Bioinformatics and Biology Insights 2010:4 9-17

doi: 10.4137/BBI.S4337

Abstract

Many proteins contain a large number of NXS/T sequences (where X is any amino acid except proline) which are the potential sites of asparagine (N) linked glycosylation. However, the patterns of occurrence of these N-glycosylation sequons in related proteins or groups of proteins and their underlying causes have largely been unexplored. We computed the actual and probabilistic occurrence of NXS/T sequons in ABC protein superfamilies from eight diverse eukaryotic organisms. The ABC proteins contained significantly higher NXS/T sequon numbers compared to respective genome-wide average, but the sequon density was significantly lower owing to the increase in protein size and decrease in sequon specific amino acids. However, mammalian ABC proteins have significantly higher sequon density, and both serine and threonine containing sequons (NXS and NXT) have been positively selected—against the recent findings of only threonine specific Darwinian selection of sequons in proteins. The occurrence of sequons was positively correlated with the frequency of sequon specific amino acids and negatively correlated with proline and the NPS/T sequences. Further, the NPS/T sequences were significantly higher than expected in plant ABC proteins which have the lowest number of NXS/T sequons. Accord- ingly, compared to overall proteins, N-glycosylation sequons in ABC protein superfamilies have a distinct pattern of occurrence, and the results are discussed in an evolutionary perspective.


Downloads

PDF  (782.02 KB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML

PMC HTML


Sharing


Our Service Promise

  • Prompt Processing (3 Weeks to Editorial Decision)
  • Fair, Independent Peer Review
  • High Visibility & Extensive Indexing
What Your Colleagues Say About Bioinformatics and Biology Insights
The publication of our paper in Bioinformatics and Biology Insights was highly professional and very pleasant on all levels: the guidelines for authors are concise, the online submission system is user-friendly, the comments from the reviewers were insightful and improved our paper, and the preparation of the manuscript for publication was efficient. I particularly liked the fast feedback from the staff on the state of the submission and review process.
Professor Werner Braun (Department of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, Texas, USA)
More Testimonials

Quick Links




Follow Us We make it easy to find new research papers.
Email Alerts RSS Feeds
Facebook Google+ Twitter
Pinterest Tumblr YouTube




SUBJECT HUBS
Author Survey Results
author_survey_results
All authors are surveyed after their articles are published. Authors are asked to rate their experience in a variety of areas, and their responses help us to monitor our performance. Presented here are their responses in some key areas. No 'poor' or 'very poor' responses were received; these are represented in the 'other' category.
See Our Results