Latest Publications

A first generation BAC-based physical map of the rainbow trout genome  2009-10-08

Background: Rainbow trout (Oncorhynchus mykiss) are the most-widely cultivated cold freshwater fish in the world and an important model species for many research areas. Coupling great interest in this species as a research model with the need for genetic improvement of aquaculture production efficiency traits justifies the continued development of genomics research resources. Many quantitative trait loci (QTL) have been identified for production and life-history traits in rainbow trout. A bacterial artificial chromosome (BAC) physical map is needed to facilitate fine mapping of QTL and the selection of positional candidate genes for incorporation in marker-assisted selection (MAS) for improving rainbow trout aquaculture production. This resource will also facilitate efforts to obtain and assemble a whole-genome reference sequence for this species.

Results: The physical map was constructed from DNA fingerprinting of 192,096 BAC clones using the 4- color high-information content fingerprinting (HICF) method. The clones were assembled into physical map contigs using the finger-printing contig (FPC) program. The map is composed of 4,173 contigs and 9,379 singletons. The total number of unique fingerprinting fragments (consensus bands) in contigs is 1,185,157, which corresponds to an estimated physical length of 2.0 Gb. The map assembly was validated by 1) comparison with probe hybridization results and agarose gel fingerprinting contigs; and 2) anchoring large contigs to the microsatellite-based genetic linkage map.

Conclusion: The production and validation of the first BAC physical map of the rainbow trout genome is described in this paper. We are currently integrating this map with the NCCCWA genetic map using more than 200 microsatellites isolated from BAC end sequences and by identifying BACs that harbor more than 300 previously mapped markers. The availability of an integrated physical and genetic map will enable detailed comparative genome analyses, fine mapping of QTL, positional cloning, selection of positional candidate genes for economically important traits and the incorporation of MAS into rainbow trout breeding programs.

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A sequence-based survey of the complex structural organization of tumor genomes  2008-03-25

Background: The genomes of many epithelial tumors exhibit extensive chromosomal rearrangements. All classes of genome rearrangements can be identified using end sequencing profiling, which relies on paired-end sequencing of cloned tumor genomes.

Results: In the present study brain, breast, ovary, and prostate tumors, along with three breast cancer cell lines, were surveyed using end sequencing profiling, yielding the largest available collection of sequence-ready tumor genome breakpoints and providing evidence that some rearrangements may be recurrent. Sequencing and fluorescence in situ hybridization confirmed translocations and complex tumor genome structures that include co-amplification and packaging of disparate genomic loci with associated molecular heterogeneity. Comparison of the tumor genomes suggests recurrent rearrangements. Some are likely to be novel structural polymorphisms, whereas others may be bona fide somatic rearrangements. A recurrent fusion transcript in breast tumors and a constitutional fusion transcript resulting from a segmental duplication were identified. Analysis of end sequences for single nucleotide polymorphisms revealed candidate somatic mutations and an elevated rate of novel single nucleotide polymorphisms in an ovarian tumor.

Conclusion: These results suggest that the genomes of many epithelial tumors may be far more dynamic and complex than was previously appreciated and that genomic fusions, including fusion transcripts and proteins, may be common, possibly yielding tumor-specific biomarkers and therapeutic targets.

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A Strong Candidate for the Breast and Ovarian Cancer Susceptibility Gene BRCA1  1994-10-07

A strong candidate for the 17q-linked BRCA1 gene, which influences susceptibility to breast and ovarian cancer, has been identified by positional cloning methods. Probable predisposing mutations have been detected in five of eight kindreds presumed to segregate BRCA1 susceptibility alleles. The mutations include an 11-base pair deletion, a 1-base pair insertion, a stop codon, a missense substitution, and an inferred regulatory mutation. The BRCA 1 gene is expressed in numerous tissues, including breast and ovary, and encodes a predicted protein of 1863 amino acids. This protein contains a zinc finger domain in its amino-terminal region, but is otherwise unrelated to previously described proteins. Identification of BRCA1 should facilitate early diagnosis of breast and ovarian cancer susceptibility in some individuals as well as a better understanding of breast cancer biology.

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One large-insert plant-transformation-competent BIBAC library and three BAC libraries of Japonica rice for genome research in rice and other grasses  2002-08-22

We report one large-insert BIBAC library and three BAC libraries for japonica rice cv Nipponbare. The BIBAC library was constructed in the HindIII site of a plant-transformation-competent binary vector (pCLD04541) and the three BAC libraries were constructed in the BamHI, HindIII and EcoRI sites of a BAC vector (pECBAC1), respectively. Each library contains 23,040 clones, has an average insert size of 130 kb, 170 kb, 150 kb and 156 kb, and covers 6.7x, 8.7x, 7.7x and 8.0 x rice haploid genomes, respectively. The combined libraries contain 92,160 clones in total, covering 31.1 x rice haploid genomes. To demonstrate their utility, we screened the libraries with 55 DNA markers mapped to chromosome 8 of the rice genetic maps and analyzed a number of clones by the restriction fingerprinting and contig assembly method. The results indicate that the libraries completely cover the rice genome and, thus, are well-suited for genome research in rice and other gramineous crops. The BIBAC library represents the first plant-transformation-competent large-insert DNA library for rice, which will streamline map-based cloning, functional analysis of the rice genome sequence and molecular breeding in rice and other grass species. These libraries are being used in the development of a whole-genome, BAC/BIBAC-based, integrated physical, genetic and sequence map of rice and in the research of genome-wide comparative genomics of grass species.

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