Nucleic Acids Research, 1994, Vol. 22, No. 23 4922-4931
© 1994
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Construction and characterization of bacterial artificial chromosome library of Sorghum bicolor
Soil and Crop Sciences Department, Texas A & M University College Station, TX 778432123 1Department of Plant Pathology, Kansas State University KS 665065502, USA
*To whom correpsondence should be addressed
Received September 7, 1994. Accepted October 19, 1994.
The construction of representative large insert DNA libraries is critical for the analysis of complex genomes. The predominant vector system for such work is the yeast artificial chromosome (YAC) system. Despite the success of YACs, many problems have been described including: chimerism, tedious steps in library construction and low yields of YAC insert DNA. Recently a new E.coli based system has been developed, the bacterial artificial chromosome (BAC) system, which offers many potential advantages over YACs. We tested the BAC system in plants by constructing an ordered 13 440 clone sorghum BAC library. The library has a combined average insert size, from single and double size selections, of 157 kb. Sorghum inserts of up to 315 kb were isolated and shown to be stable when grown for over 100 generations in liquid media. No chimeric clones were detected as determined by fluorescence in situ hybridization of ten BAC clones to metaphase and interphase S.bicolor nuclei. The library was screened with six sorghum probes and three maize probes and all but one sorghum probe hybridized to at least one BAC clone in the library. To facilitate chromosome walking with the BAC system, methods were developed to isolate the proximal ends of restriction fragments inserted into the BAC vector and used to isolate both the left and right ends of six randomly selected BAC clones. These results demonstrate that the S.bicolor BAC library will be useful for several physical mapping and map-based cloning applications not only in sorghum but other related cereal genomes, such as maize. Furthermore, we conclude that the BAC system is suitable for most large genome applications, is more user friendly than the YAC system, and will likely lead to rapid progress in cloning biologically significant genes from plants.
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