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Computational design and biochemical characterization of maize nonspecific lipid transfer protein variants for biosensor applications.

ABSTRACT: Lipid transfer proteins (LTPs) are a family of proteins that bind and transfer lipids. Utilizing the maize LTP, we have successfully engineered fluorescent reagentless biosensors for the natural ligand of LTPs; this was achieved by using computational protein design to remove a disulfide bridge and attaching a thio-reactive fluorophore. Conformational change induced by ligand titration is thought to affect the fluorescence of the fluorophore, allowing detection of ligand binding. Fluorescence measurements show that our LTP variants have affinity to palmitate that is consistent with wild-type LTP. These molecules have the potential to be utilized as scaffolds to design hydrophobic ligand biosensors or to serve as drug carriers.

SUBMITTER: Choi EJ

PROVIDER: S-EPMC2203350 | biostudies-literature | 2007 Apr

REPOSITORIES: biostudies-literature

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Computational design and biochemical characterization of maize nonspecific lipid transfer protein variants for biosensor applications.

Choi Eun Jung EJ Mao Jessica J Mayo Stephen L SL

Protein science : a publication of the Protein Society 20070401 4

Lipid transfer proteins (LTPs) are a family of proteins that bind and transfer lipids. Utilizing the maize LTP, we have successfully engineered fluorescent reagentless biosensors for the natural ligand of LTPs; this was achieved by using computational protein design to remove a disulfide bridge and attaching a thio-reactive fluorophore. Conformational change induced by ligand titration is thought to affect the fluorescence of the fluorophore, allowing detection of ligand binding. Fluorescence me ...[more]

PMID: 17384226

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Project description:BACKGROUND: In plant, non-specific lipid transfer proteins (nsLTPs) are small, basic proteins that have been reported to be involved in numerous biological processes such as transfer of phospholipids, reproductive development, pathogen defence and abiotic stress response. To date, only a tiny fraction of plant nsLTPs have been functionally identified, and even fewer have been identified in maize [Zea mays (Zm)]. RESULTS: In this study, we carried out a genome-wide analysis of nsLTP gene family in maize and identified 63 nsLTP genes, which can be divided into five types (1, 2, C, D and G). Similar intron/exon structural patterns were observed in the same type, strongly supporting their close evolutionary relationship. Gene duplication analysis indicated that both tandem and segmental duplication contribute to the diversification of this gene family. Additionally, the three-dimensional structures of representative nsLTPs were studied with homology modeling to understand their molecular functions. Gene ontology analysis was performed to obtain clues about biological function of the maize nsLTPs (ZmLTPs). The analyses of putative upstream regulatory elements showed both shared and distinct transcriptional regulation motifs of ZmLTPs, further indicating that ZmLTPs may play roles in diverse biological processes. The dynamic expression patterns of ZmLTPs family across the different developmental stages showed that several of them exhibit tissue-specific expression, indicative of their important roles in maize life cycle. Furthermore, we focused on the roles of maize nsLTPs in biotic and abiotic stress responses. Our analyses demonstrated that some ZmLTPs exhibited a delayed expression pattern after the infection of Ustilago maydis and differentially expressed under drought, salt and cold stresses, and these may be a great help for further studies to improve the stress resistance and tolerance in maize breeding. CONCLUSIONS: Our results provide new insights into the phylogenetic relationships and characteristic functions of maize nsLTPs and will be useful in studies aimed at revealing the global regulatory network in maize development and stress responses, thereby contributing to the maize molecular breeding with enhanced quality traits.

Project description:A novel solvent-exposed analyte channel, generated by F165G substitution, on the surface of green fluorescent protein (designated His(6)GFPuv/F165G) was successfully discovered by the aid of molecular modeling software (PyMOL) in conjunction with site-directed mutagenesis. Regarding the high predictive performance of PyMOL, two pore-containing mutants namely His(6)GFPuv/H148G and His(6)GFPuv/H148G/F165G were also revealed. The pore sizes of F165G, H148G, and the double mutant H148G/F165G were in the order of 4, 4.5 and 5.5 A, respectively. These mutants were subjected to further investigation on the effect of small analytes (e.g. metal ions and hydrogen peroxide) as elucidated by fluorescence quenching experiments. Results revealed that the F165G mutant exhibited the highest metal sensitivity at physiological pH. Meanwhile, the other 2 mutants lacking histidine at position 148 had lower sensitivity against Zn(2+) and Cu(2+) than those of the template protein (His(6)GFPuv). Hence, a significant role of this histidine residue in mediating metal transfer toward the GFP chromophore was proposed and evidently demonstrated by testing in acidic condition. Results revealed that at pH 6.5 the order of metal sensitivity was found to be inverted whereby the H148G/F165G became the most sensitive mutant. The dissociation constants (K(d)) to metal ions were in the order of 4.88 x 10(-6) M, 16.67 x 10(-6) M, 25 x 10(-6) M, and 33.33 x 10(-6) M for His(6)GFPuv/F165G, His(6)GFPuv, His(6)GFPuv/H148G/F165G and His(6)GFPuv/H148G, respectively. Sensitivity against hydrogen peroxide was in the order of H148G/F165G > H148G > F165G indicating the crucial role of pore diameters. However, it should be mentioned that H148G substitution caused a markedly decrease in pH- and thermo-stability. Taken together, our findings rendered the novel pore of GFP as formed by F165G substitution to be a high impact channel without adversely affecting the intrinsic fluorescent properties. This opens up a great potential of using F165G mutant in enhancing the sensitivity of GFP in future development of biosensors.

Dataset Information

Computational design and biochemical characterization of maize nonspecific lipid transfer protein variants for biosensor applications.

Publications

Computational design and biochemical characterization of maize nonspecific lipid transfer protein variants for biosensor applications.

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