Publications (3)31.54 Total impact
- [Show abstract] [Hide abstract] ABSTRACT: Genome physical mapping with large-insert clones by fingerprint analysis is becoming an active area of genomics research. Here, we report two new capillary electrophoresis-based fingerprinting methods for genome physical mapping and the effects of different fingerprinting methods and source clone genome coverage on quality physical map construction revealed by computer simulations and laboratory experiments. It was shown that the manual sequencing gel-based two-enzyme fingerprinting method consistently generated larger and more accurate contigs, followed by the new capillary electrophoresis-based three-enzyme method, the new capillary electrophoresis-based five-enzyme (SNaPshot) method, the agarose gel-based one-enzyme method, and the automatic sequencing gel-based four-enzyme method, in descending order, when 1% or fewer questionable clones were allowed. Analysis of clones equivalent to 5x, 8x, 10x, and 15x genomes using the fingerprinting methods revealed that as the number of clones increased from 5x to 10x, the contig length rapidly increased for all methods. However, when the number of clones was increased from 10x to 15x coverage, the contig length at best increased at a lower rate or even decreased. The results will provide useful knowledge and strategies for effective construction of quality genome physical maps for advanced genomics research.
- [Show abstract] [Hide abstract] ABSTRACT: Genome-wide physical maps are crucial to many aspects of advanced genome research. We report a genome-wide, bacterial artificial chromosome (BAC) and plant-transformation-competent binary large-insert plasmid clone (hereafter BIBAC)-based physical map of the soybean genome. The map was constructed from 78001 clones from five soybean BAC and BIBAC libraries representing 9.6 haploid genomes and three cultivars, and consisted of 2905 BAC/BIBAC contigs, estimated to span 1408 Mb in physical length. We evaluated the reliability of the map contigs using different contig assembly strategies, independent contig building methods, DNA marker hybridization, and different fingerprinting methods, and the results showed that the contigs were assembled properly. Furthermore, we tested the feasibility of integrating the physical map with the existing soybean composite genetic map using 388 DNA markers. The results further confirmed the nature of the ancient tetraploid origin of soybean and indicated that it is feasible to integrate the physical map with the linkage map even though greater efforts are needed. This map represents the first genome-wide, BAC/BIBAC-based physical map of the soybean genome and would provide a platform for advanced genome research of soybean and other legume species. The inclusion of BIBACs in the map would streamline the utility of the map for positional cloning of genes and QTLs, and functional analysis of soybean genomic sequences.
- [Show abstract] [Hide abstract] ABSTRACT: A genome-wide physical map constructed with bacterial artificial chromosomes (BACs) is an essential component in linking phenotypic traits to the responsible genetic variation in the genomes of plants and animals. We have constructed a physical map of the chicken genome from 57,091 BACs (7.9-fold haploid genome coverage) by restriction fingerprint analysis using high-resolution polyacrylamide gel electrophoresis. The physical map consists of 2331 overlapping BAC contigs and is estimated to span 1510 Mb in physical length. BAC contigs were verified manually and by screening the BACs with 367 DNA markers. A total of 361 of the contigs have been anchored to the existing chicken genetic map. This map represents the first genome-wide, BAC-based physical map of the chicken genome. It provides a powerful platform for many areas of chicken genomics, including targeted marker development, fine mapping of genes and QTL alleles, positional cloning, analysis of avian genome organization and evolution, chicken-mammalian comparative genomics, and large-scale genome sequencing.
Texas A&M University
College Station, Texas, United States
- Institute for Plant Genomics and Biotechnology