Using transposition to introduce eGFP fusions in Sinorhizobium meliloti: A tool to analyze protein localization patterns in bacteria

Bednarz H, Niehaus K (2017)
JOURNAL OF BIOTECHNOLOGY 257: 139-149.

Download
No fulltext has been uploaded. References only!
Journal Article | Original Article | Published | English

No fulltext has been uploaded

Abstract
Conventional methods used for the in vivo analysis of subcellular protein localizations and their spatio-temporal dynamics in prokaryotes are based on either the engineering of N(amino)- or C(carboxy)-terminal fusions of fluorescent proteins with the protein of interest, or involved probing internal sites for tag integration. In addition, the use of inducible or constitutive promoters for the expression of fluorescent fusion proteins can lead to overexpression and result in localization artifacts. Here, we describe a method for the synthesis of fluorescent fusion proteins using transposable elements, which can randomly integrate in the internal sections of the protein coding sequence to produce full-length fluorescent fusion proteins expressed at endogenous levels. The established method was used for investigating subcellular localization of proteins in the soil bacterium and plant symbiont Sinorhizobium meliloti. Two constructs for transposition-based insertion of the enhanced green fluorescent protein (eGFP), as well as for in vivo excision of the selection marker for the production of full-length proteins were engineered. Conjugation with pHB14 plasmid and induction of the transposition in S. meliloti produced approx. 3.22 x 10(4) transconjugant colonies harboring the fluorescent marker with the transposition efficiency of 0.8%. Sixteen randomly targeted proteins of diverse functions, fused to the eGFP were identified and analyzed in living cells by epifluorescence microscopy, demonstrating the suitability of the novel tool for massive, random production of fluorescent proteins and for following of these proteins with different localizations inside the prokaryotic cell. (C) 2016 Elsevier B.V. All rights reserved.
Publishing Year
ISSN
eISSN
PUB-ID

Cite this

Bednarz H, Niehaus K. Using transposition to introduce eGFP fusions in Sinorhizobium meliloti: A tool to analyze protein localization patterns in bacteria. JOURNAL OF BIOTECHNOLOGY. 2017;257:139-149.
Bednarz, H., & Niehaus, K. (2017). Using transposition to introduce eGFP fusions in Sinorhizobium meliloti: A tool to analyze protein localization patterns in bacteria. JOURNAL OF BIOTECHNOLOGY, 257, 139-149. doi:10.1016/j.jbiotec.2016.12.013
Bednarz, H., and Niehaus, K. (2017). Using transposition to introduce eGFP fusions in Sinorhizobium meliloti: A tool to analyze protein localization patterns in bacteria. JOURNAL OF BIOTECHNOLOGY 257, 139-149.
Bednarz, H., & Niehaus, K., 2017. Using transposition to introduce eGFP fusions in Sinorhizobium meliloti: A tool to analyze protein localization patterns in bacteria. JOURNAL OF BIOTECHNOLOGY, 257, p 139-149.
H. Bednarz and K. Niehaus, “Using transposition to introduce eGFP fusions in Sinorhizobium meliloti: A tool to analyze protein localization patterns in bacteria”, JOURNAL OF BIOTECHNOLOGY, vol. 257, 2017, pp. 139-149.
Bednarz, H., Niehaus, K.: Using transposition to introduce eGFP fusions in Sinorhizobium meliloti: A tool to analyze protein localization patterns in bacteria. JOURNAL OF BIOTECHNOLOGY. 257, 139-149 (2017).
Bednarz, Hanna, and Niehaus, Karsten. “Using transposition to introduce eGFP fusions in Sinorhizobium meliloti: A tool to analyze protein localization patterns in bacteria”. JOURNAL OF BIOTECHNOLOGY 257 (2017): 139-149.
This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Web of Science

View record in Web of Science®

Sources

PMID: 28007516
PubMed | Europe PMC

Search this title in

Google Scholar