Application of in-house virtual protein database performed in genomic-proteomic combined research on heavy-metal stressed onion roots

Research output: Contribution to journalArticle

Abstract

Objectives To establish an in-house virtual protein database that can be employed in proteomic research on non-model plants. Results A total of 87,430 unigenes were obtained through transcriptome sequencing from onion roots. Of these, 24,305 unigenes were annotated and their nucleotide sequences of coding regions were translated into amino acid sequences. The corresponding 24,305 amino acid sequences were considered as an in-house virtual protein database. Thirty-two protein spots with significant differential abundance were selected. Their MS data were submitted to a restriction enzyme map which was converted from the in-house virtual protein database. A total of 27 proteins were finally matched.
Conclusions The in-house protein database is a
feasible and innovative strategy for proteomic
research on non-model plants.

Details

Authors
Organisations
External organisations
  • South China Normal University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Biochemistry and Molecular Biology

Keywords

  • In-house database , Non-model plants, Proteomic research , Restriction enzyme map, Unigenes
Original languageEnglish
Pages (from-to)1293-1300
Number of pages8
JournalBiotechnology Letters
Volume38
Issue number8
Early online date2016
Publication statusPublished - 2016
Publication categoryResearch
Peer-reviewedYes