↓ Skip to main content

PLOS

GreenGate - A Novel, Versatile, and Efficient Cloning System for Plant Transgenesis

Overview of attention for article published in PLOS ONE, December 2013
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
14 X users
patent
6 patents

Citations

dimensions_citation
413 Dimensions

Readers on

mendeley
866 Mendeley
Title
GreenGate - A Novel, Versatile, and Efficient Cloning System for Plant Transgenesis
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0083043
Pubmed ID
Authors

Athanasios Lampropoulos, Zoran Sutikovic, Christian Wenzl, Ira Maegele, Jan U. Lohmann, Joachim Forner

Abstract

Building expression constructs for transgenesis is one of the fundamental day-to-day tasks in modern biology. Traditionally it is based on a multitude of type II restriction endonucleases and T4 DNA ligase. Especially in case of long inserts and applications requiring high-throughput, this approach is limited by the number of available unique restriction sites and the need for designing individual cloning strategies for each project. Several alternative cloning systems have been developed in recent years to overcome these issues, including the type IIS enzyme based Golden Gate technique. Here we introduce our GreenGate system for rapidly assembling plant transformation constructs, which is based on the Golden Gate method. GreenGate cloning is simple and efficient since it uses only one type IIS restriction endonuclease, depends on only six types of insert modules (plant promoter, N-terminal tag, coding sequence, C-terminal tag, plant terminator and plant resistance cassette), but at the same time allows assembling several expression cassettes in one binary destination vector from a collection of pre-cloned building blocks. The system is cheap and reliable and when combined with a library of modules considerably speeds up cloning and transgene stacking for plant transformation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 866 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
United States 2 <1%
Colombia 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Peru 1 <1%
Italy 1 <1%
Spain 1 <1%
Other 3 <1%
Unknown 851 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 183 21%
Student > Bachelor 135 16%
Researcher 121 14%
Student > Master 110 13%
Student > Doctoral Student 36 4%
Other 76 9%
Unknown 205 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 335 39%
Biochemistry, Genetics and Molecular Biology 278 32%
Engineering 8 <1%
Computer Science 6 <1%
Immunology and Microbiology 6 <1%
Other 23 3%
Unknown 210 24%