The physical and genetic framework of the maize b73 genome

Wei, F., Zhang, J., Zhou, S., He, R., Schaeffer, M., Collura, K., Kudrna, D., Faga, B. P., Wissotski, M., Golser, W., Rock, S. M., Graves, T. A., Fulton, R. S., Coe, E., Schnable, P. S., Schwartz, D. C., Ware, D. H., Clifton, S. W., Wilson, R. K., Wing, R. A. (November 2009) The physical and genetic framework of the maize b73 genome. PLoS Genet, 5 (11). e1000715. ISSN 1553-7404 (Electronic)

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URL: http://www.ncbi.nlm.nih.gov/pubmed/19936061
DOI: 10.1371/journal.pgen.1000715

Abstract

Maize is a major cereal crop and an important model system for basic biological research. Knowledge gained from maize research can also be used to genetically improve its grass relatives such as sorghum, wheat, and rice. The primary objective of the Maize Genome Sequencing Consortium (MGSC) was to generate a reference genome sequence that was integrated with both the physical and genetic maps. Using a previously published integrated genetic and physical map, combined with in-coming maize genomic sequence, new sequence-based genetic markers, and an optical map, we dynamically picked a minimum tiling path (MTP) of 16,910 bacterial artificial chromosome (BAC) and fosmid clones that were used by the MGSC to sequence the maize genome. The final MTP resulted in a significantly improved physical map that reduced the number of contigs from 721 to 435, incorporated a total of 8,315 mapped markers, and ordered and oriented the majority of FPC contigs. The new integrated physical and genetic map covered 2,120 Mb (93%) of the 2,300-Mb genome, of which 405 contigs were anchored to the genetic map, totaling 2,103.4 Mb (99.2% of the 2,120 Mb physical map). More importantly, 336 contigs, comprising 94.0% of the physical map ( approximately 1,993 Mb), were ordered and oriented. Finally we used all available physical, sequence, genetic, and optical data to generate a golden path (AGP) of chromosome-based pseudomolecules, herein referred to as the B73 Reference Genome Sequence version 1 (B73 RefGen_v1).

Item Type: Paper
Subjects: bioinformatics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics
organism description > plant > maize
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > genomes
organism description > plant
CSHL Authors:
Communities: CSHL labs > Ware lab
Depositing User: Matt Covey
Date: November 2009
Date Deposited: 20 Feb 2013 16:44
Last Modified: 20 Feb 2013 16:44
PMCID: PMC2774505
Related URLs:
URI: http://repository.cshl.edu/id/eprint/27431

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