U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights
Genomic Science Program

This site will be unavailable Saturday, August 18 from 7 a.m.-11 a.m. due to a network outage.

A Novel High-throughput Technology Allows the Identification of Thousands of New Pairs of Interacting Proteins in Plants
Published: June 26, 2017
Posted: November 28, 2017

Millions of protein-protein interactions can be screened using this new system, advancing towards a genome-scale understanding of bioenergy crops.

The Science

Protein-protein interactions are an important component of cellular regulatory networks and therefore, the simultaneous and large-scale analysis of those interactions is necessary to gain a deeper understanding of important biological functions. Using a modified yeast two-hybrid system, researchers at the Salk Institute for Biological Studies developed a technique that allows genome-scale analysis of pairs of interacting proteins that are identified by high-throughput sequencing of their coding DNA.

The Impact

This new technique that couples yeast two-hybrid and high-throughput sequencing approaches allowed the research team to screen 36 million pairs of interacting proteins, reaching a scale not previously achievable. Testing the technology in the model plant Arabidopsis, they managed to identify a network of thousands of previously unknown interactions among the plant's transcription factors. Further optimization of the technique will make it possible to map complete networks of interacting proteins in crops and microbes relevant for bioenergy production.     

Summary

The technique called Cre-reporter-mediated yeast two-hybrid coupled with next-generation sequencing (CrY2H-seq) was developed by taking advantage of the Cre recombinase to physically link the coding sequences of pairs of proteins that physically interact within a cell. The identities of the interacting protein pairs are determined by sequencing the linked DNA fragments in a highly parallel manner. A proof of concept all-by-all massively multiplexed screening carried out with 1,453 Arabidopsis transcription factors uncovered 8,577 interactions, more than 90 percent of which had not been previously reported. These results nearly triple the number of known Arabidopsis transcription factor interactions. CrY2H-seq can be optimized to potentially discover all protein-protein interactions within an organism in multiple conditions. Moreover, due to the method's large scale and low cost it is now possible to analyze the cellular interaction maps of different phenotypes or tissue types at a genomic scale, providing new insights into the genotype-phenotype relationships of DOE-relevant plants and microbes.   

Contacts (BER PM)

Pablo Rabinowicz
Biological and Environmental Research
pablo.rabinowicz@science.doe.gov

(PI Contact)

Joseph R. Ecker
Genomic Analysis and Plant Biology Laboratories
The Salk Institute for Biological Studies
La Jolla, California
ecker@salk.edu

Funding

This work was supported by the Office of Biological and Environmental Research within the U.S. Department of Energy’s Office of Science award DE-SC0007078. The authors also acknowledge support from the National Science Foundation.

 Publication
Trigg, Shelly, Renee M. Garza, Andrew MacWilliams, Joseph R. Nery, Anna Bartlett, Rosa Castanon, Adeline Goubil, Joseph Feeney, Ronan O’Malley, Shao-shan C. Huang, Zhuzhu Z. Zhang, Mary Galli, and Joseph R. Ecker. 2017. “CrY2H-Seq: A Massively Multiplexed Assay for Deep-Coverage Interactome Mapping,” Nature Methods 14, 819-825. DOI:10.1038/nmeth.4343. (Reference link)

Topic Areas:

  • Research Area: Genomic Analysis and Systems Biology
  • Research Area: Plant Systems and Feedstocks, Plant-Microbe Interactions
  • Research Area: Sustainable Biofuels and Bioproducts
  • Research Area: Biosystems Design
  • Research Area: Research Technologies and Methodologies

Division: SC-23.2 Biological Systems Science Division, BER

 

BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent GSP Highlights

May 28, 2018
New Method Helps Predict Metabolite Concentrations, Rate Constants, and Enzyme Regulation Within Cells
Researchers use Neurospora crassa, a reliable model organism, to demonstrate new methodmore...]

Apr 16, 2018
Under Drought Conditions, Monoderm Bacteria Help Sorghum Continue Growing
Researchers discover how certain bacteria may safeguard plant growth during a drought, making way [more...]

Jan 18, 2018
Engineering Yeast Tolerance to a Promising Biomass Deconstruction Solvent
Chemical genomic-guided engineering of gamma-valerolactone-tolerant yeast. The Science [more...]

Nov 16, 2017
Aerobic Wetlands Emit High Levels of Methane
Genomic analysis reveals a novel methanogenic microbial species that is a significant contributor to [more...]

Oct 19, 2017
Bacteria Use Multiple Enzymes to Degrade Plant Biomass
Analyses reveal how bacteria degrade lignin and provide better understanding for producing biofuels. [more...]