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

BER Research Highlights

POPSEQ for Plant Genome Assembly: New Approach Allows Researchers to Work on Many Species Regardless of Sequence Resources
Published: September 02, 2013
Posted: October 23, 2013

Image: Cultivated barley is the fourth most abundant crop in the world and a model for plant genetics research.
(Image courtesy of freefotouk, Flickr CC BY 2.0)

One of the challenges in assembling plant genome “contigs,” fragments of the entire genome that are identified by the assembly algorithms, is that they are not easily linked together or even placed in their proper order. In an effort to mitigate this problem, researchers with the U.S. Department of Energy’s (DOE) Joint Genome Institute (JGI) teamed with other researchers to develop another approach for assembling contigs.

In a study published in The Plant Journal, the team reports on the results of testing the approach they call POPSEQ with the barley genome. The plant was selected for DOE JGI’s 2011 Community Sequencing Program portfolio in part for its potential as a bioenergy feedstock crop. Grown on four million acres in the United States, the crop could be used to produce cellulosic ethanol from the straw. More than 80 percent of the 5.1 billion-base genome is composed of repeats, adding to its complexity.

Using POPSEQ, researchers assembled the barley genome while testing a number of variables. For example, they used datasets obtained from different mapping populations, or, in another case, assembled the genome based solely on short reads. The team reported that the results from these tests were comparable with the assembly previously produced by the International Barley Sequencing Consortium. “By comparison,” they wrote, “POPSEQ is inexpensive, rapid, and conceptually simple, the most time-consuming step being the construction of a mapping population…The method is independent of the need for any prior sequence resources,” and this proof of principle demonstrates that POPSEQ can be effectively applied to many species.

Reference: Mascher, M., et al. 2013. “Anchoring and Ordering NGS Contig Assemblies by Population Sequencing (POPSEQ),” The Plant Journal, DOI: 10.1111/tpj.12319. (Reference link)

Contact: Dan Drell, SC-23.2, (301) 903-4742, John Houghton, SC-23.2, (301) 903-8288
Topic Areas:

  • Research Area: Genomic Analysis and Systems Biology
  • Research Area: Plant Systems and Feedstocks, Plant-Microbe Interactions
  • Research Area: DOE Joint Genome Institute (JGI)
  • Research Area: Sustainable Biofuels and Bioproducts
  • Research Area: Computational Biology, Bioinformatics, Modeling

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 Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)