Recipient Organization
UNIVERSITY OF CALIFORNIA, BERKELEY
(N/A)
BERKELEY,CA 94720
Performing Department
REGENTS OF THE UNIVERSITY
Non Technical Summary
The high-quality annotated sequence of chromosome 10 of Missouri 17 Zea mays will provide a resource for the study of variation in maize that will accelerate molecular and genetic research into the function and regulation of cereal genes, advancing agriculture and energy research and development, plant biotechnology, and our understanding of basic plant physiology, diversity, and genetics. Application of this knowledge will benefit the agricultural and energy industries and consumers. Results will be distributed via GenBank, MaizeGDB, and the websites at JGI and Georgia. This project will also provide workshops on maize genomics and interdisciplinary training to postdoctoral researchers.
Animal Health Component
(N/A)
Research Effort Categories
Basic
50%
Applied
(N/A)
Developmental
50%
Goals / Objectives
We will produce a high-quality reference sequence for chromosome 10 of the Zea mays Missouri 17 inbred line that is integrated with enhanced maize physical and genetic maps. Our target is to finish the gene space according to the standards established by the human genome project. We will adopt a whole genome shotgun strategy for this 180 million base pair chromosome. Although the maize genome is highly repetitive, preliminary data show that most repeats are sufficiently diverged to ensure the success of the whole chromosome shotgun approach that we propose.
Project Methods
To achieve our goal, a total of 7X shotgun coverage of chromosome 10 will be generated starting from flow-sorted material, assembled along with other available datasets, and annotated at the Joint Genome Institute to generate a high-quality draft sequence. Targeted finishing of at least 40 million base pairs of annotated gene space will be carried out at the Stanford Human Genome Center. Protein coding genes will be identified based on known expressed sequences from maize, sorghum, rice, and other plants, augmented by ab initio gene prediction methods tuned for maize. The Plant Genome Mapping Laboratory at the University of Georgia will anchor the genome sequence to the physical and genetic maps, taking advantage of synergy with other grass mapping data.