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

Chanjuan Ning, Rong Qin, Da Chen, Lars Olof Björn, Shaoshan Li

    Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

    Sammanfattning

    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.
    Originalspråkengelska
    Sidor (från-till)1293-1300
    Antal sidor8
    TidskriftBiotechnology Letters
    Volym38
    Nummer8
    Tidigt onlinedatum2016
    DOI
    StatusPublished - 2016

    Ämnesklassifikation (UKÄ)

    • Biokemi och molekylärbiologi

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