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

Author:
  • Chanjuan Ning
  • Rong Qin
  • Da Chen
  • Lars Olof Björn
  • Shaoshan Li
Publishing year: 2016
Language: English
Pages: 1293-1300
Publication/Series: Biotechnology Letters
Volume: 38
Issue: 8
Document type: Journal article
Publisher: Springer

Abstract english

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.

Keywords

  • Biochemistry and Molecular Biology
  • In-house database
  • Non-model plants
  • Proteomic research
  • Restriction enzyme map
  • Unigenes

Other

Published
  • ISSN: 1573-6776
Lars Olof Björn
E-mail: lars_olof [dot] bjorn [at] biol [dot] lu [dot] se

Professor emeritus

Molecular Cell Biology

+46 46 222 72 53

B-A340

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