W018
Optical Mapping and Nanocoding Systems Potentiate Genome Assembly and Discover Structural Variants

Date: Saturday, January 11, 2014
Time: 4:00 PM
Room: Town and Country
Shiguo Zhou , University of Wisconsin-Madison, Madison, WI
Konstantinos Potamousis , University of Wisconsin-Madison, Madison, WI
Steve Goldstein , University of Wisconsin-Madison, Madison, WI
Michael Place , University of Wisconsin-Madison, Madison, WI
Michael Bechner , University of Wisconsin-Madison, Madison, WI
Prabu Ravindran , University of Wisconsin-Madison, Madison, WI
Kristy Kounovsky-Shafer , University of Wisconsin-Madison, Madison, WI
Louise Pape , University of Wisconsin-Madison, Madison, WI
Brian Teague , University of Wisconsin-Madison, Madison, WI
John Nguyen , University of Southern California, Los Angeles, CA
Fusheng Wei , Arizona Genomics Institute, University of Arizona, Tucson, AZ
Vivek Krishnakumar , J. Craig Venter Institute, Rockville, MD
Victor Guryev , Hubrecht Institute, Utrecht, Netherlands
Shu Ouyang , Michigan State University, East Lansing, MI
Christopher D. Town , J. Craig Venter Institute, Rockville, MD
Edwin Cuppen , Hubrecht Institute, Utrecht, Netherlands
Rod A. Wing , Arizona Genomics Institute, University of Arizona, Tucson, AZ
C. Robin Buell , Department of Plant Biology and DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI
Juan F. Medrano , University of California-Davis, Davis, CA
Jeffrey M. Kidd , University of Washington, Seattle, WA
Evan Eichler , University of Washington, Seattle, WA
Michael Waterman , University of Southern California, Los Angeles, CA
David C. Schwartz , University of Wisconsin-Madison, Madison, WI
Current DNA sequencing technologies are producing copious amounts of sequence data
that are enabling extensive analysis of genomes. However, such data are not of sufficient quality
and read length for driving the assembly, or finishing of many plant and animal genomes.This
failure is a major problem facing the genomics community because comparative analysis
requires reference-quality, whole-genome sequence, for the comprehensive discovery and
understanding of all forms of polymorphism that includes structural variation. In this regard,
sequence-compatible physical maps, constructed using Optical Mapping, or Nanocoding (both
systems developed by our group) offer clone-free, independent scaffolds to guide many stages of
genome assembly and validation. We meet this challenge using the Optical Mapping and
Nanocoding Systems, which are single-molecule platforms designed to create genome-wide
ordered restriction maps from the assembly of massive datasets comprising genomic DNA
molecules (~500 kb). Our analysis of such genome-wide restriction maps critically addresses
several key applications where Optical Mapping, or Nanocoding:

1) Provide an independent scaffold for genome sequence assembly, finishing, and
validation;

2) Reveal structural variation, in a comprehensive way, through identification of altered
loci not discoverable, or characterizable using sequencing, CNV chips, or cytogenetic
approaches.

Here, we will present the workings of our genome analysis systems and their applications
to the analysis and assembly of several plant and animal genomes (rice, maize, medicago, cow,
rat, and human).