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Construction and characterization of a soybean bacterial artificial chromosome library and use of multiple complementary libraries for genome physical mapping

Overview of attention for article published in Theoretical and Applied Genetics, May 2004
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Title
Construction and characterization of a soybean bacterial artificial chromosome library and use of multiple complementary libraries for genome physical mapping
Published in
Theoretical and Applied Genetics, May 2004
DOI 10.1007/s00122-004-1712-y
Pubmed ID
Authors

C.-C. Wu, P. Nimmakayala, F. A. Santos, R. Springman, C. Scheuring, K. Meksem, D. A. Lightfoot, H.-B. Zhang

Abstract

Two plant-transformation-competent large-insert binary clone bacterial artificial chromosome (hereafter BIBAC) libraries were previously constructed for soybean cv. Forrest, using BamHI or HindIII. However, they are not well suited for clone-based genomic sequencing due to their larger ratio of vector to insert size (27.6 kbp:125 kbp). Therefore, we developed a larger-insert bacterial artificial chromosome (BAC) library for the genotype in a smaller vector (pECBAC1), using EcoRI. The BAC library contains 38,400 clones; about 99.1% of the clones have inserts; the average insert size is 157 kbp; and the ratio of vector to insert size is much smaller (7.5 kbp:157 kbp). Colony hybridization with probes derived from several chloroplast and mitochondrial genes showed that 0.89% and 0.45% of the clones were derived from the chloroplast and mitochondrial genomes, respectively. Considering these data, the library represents 5.4 haploid genomes of soybean. The library was hybridized with six RFLP marker probes, 5S rDNA and 18S-5.8S-25S rDNA, respectively. Each RFLP marker hybridized to about six clones, and the 5S and 18S-5.8S-25S rDNA probes collectively hybridized to 402 BACs--about 1.05% of the clones in the library. The BAC library complements the existing soybean Forrest BIBAC libraries by using different restriction enzymes and vector systems. Together, the BAC and BIBAC libraries encompass 13.2 haploid genomes, providing the most comprehensive clone resource for a single soybean genotype for public genome research. We show that the BAC library has enhanced the development of the soybean whole-genome physical map and use of three complementary BAC libraries improves genome physical mapping by fingerprint analysis of most of the clones of the library. The rDNA-containing clones were also fingerprinted to evaluate the feasibility of constructing contig maps of the rDNA regions. It was found that physical maps for the rDNA regions could not be readily constructed by fingerprint analysis, using one or two restriction enzymes. Additional data to fingerprints and/or different fingerprinting methods are needed to build contig maps for such highly tandem repetitive regions and thus, the physical map of the entire soybean genome.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 6%
United States 1 3%
Japan 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 43%
Student > Ph. D. Student 7 20%
Professor 5 14%
Professor > Associate Professor 3 9%
Student > Master 2 6%
Other 2 6%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 80%
Biochemistry, Genetics and Molecular Biology 3 9%
Unspecified 1 3%
Environmental Science 1 3%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2012.
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#21,141,111
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Outputs from Theoretical and Applied Genetics
#3,320
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#57,382
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Outputs of similar age from Theoretical and Applied Genetics
#18
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