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Structure of the putative 32 kDa myrosinase-binding protein from Arabidopsis (At3g16450.1) determined by SAIL-NMR

  • Mitsuhiro Takeda
  • , Nozomi Sugimori
  • , Takuya Torizawa
  • , Tsutomu Terauchi
  • , Akira M. Ono
  • , Hirokazu Yagi
  • , Yoshiki Yamaguchi
  • , Koichi Kato
  • , Teppei Ikeya
  • , Jungoo Jee
  • , Peter Güntert
  • , David J. Aceti
  • , John L. Markley
  • , Masatsune Kainosho

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

The product of gene At3g16450.1 from Arabidopsis thaliana is a 32 kDa, 299-residue protein classified as resembling a myrosinase-binding protein (MyroBP). MyroBPs are found in plants as part of a complex with the glucosinolate-degrading enzyme myrosinase, and are suspected to play a role in myrosinase-dependent defense against pathogens. Many MyroBPs and MyroBP-related proteins are composed of repeated homologous sequences with unknown structure. We report here the three-dimensional structure of the At3g16450.1 protein from Arabidopsis, which consists of two tandem repeats. Because the size of the protein is larger than that amenable to high-throughput analysis by uniform 13C/15N labeling methods, we used stereo-array isotope labeling (SAIL) technology to prepare an optimally 2H/ 13C/15N-labeled sample. NMR data sets collected using the SAIL protein enabled us to assign 1H, 13C and 15N chemical shifts to 95.5% of all atoms, even at a low concentration (0.2 mm) of protein product. We collected additional NOESY data and determined the three-dimensional structure using the cyana software package. The structure, the first for a MyroBP family member, revealed that the At3g16450.1 protein consists of two independent but similar lectin-fold domains, each composed of three β-sheets.

Original languageEnglish
Pages (from-to)5873-5884
Number of pages12
JournalFEBS Journal
Volume275
Issue number23
DOIs
StatePublished - Dec 2008

Keywords

  • Lectin
  • Myrosinase-binding protein
  • NMR structure
  • Stereo-array isotope labeling
  • Structural genomics

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