ArticleProceedings of the National Academy of Sciences of the United States of America2005
Analysis and mapping of randomly chosen bacterial artificial chromosome clones from hexaploid bread wheat.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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48 citing papers in PubMed, 91 citations in OpenAlex.
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current view of wheat genome composition is that genes are compartmentalized into gene-rich and gene-poor regions. This model can be tested by analyzing randomly selected bacterial artificial chromosome (BAC) clones for gene content, followed by placement of these BACs onto physical and genetic maps. Map localization could be difficult for BACs that consist entirely of repeated elements. We therefore developed a technique where repeat junctions are used to generate unique markers. Four BAC clones from hexaploid wheat variety Chinese Spring were randomly selected and sequenced at 4- to 6-fold redundancy. About 50% of the BAC sequences corresponded to previously identified repeats, mainly LTR-retrotransposons, whereas most of the remaining DNA consisted of sequences with unknown origin or function. The average gene content was <1%, although each BAC contained one or two identified genes. Repeat boundaries were amplified and used to map each clone to a chromosome arm. Extrapolation from wheat-rice comparative knowledge suggests that three of the four BAC clones originate from "gene-rich" regions of the wheat genome. Nevertheless, because these BACs carry only a single gene (two BACs) or two genes (one BAC), the predicted gene density is approximately 1 gene per 75 kb, which is considerably lower than previously estimated gene densities (one gene per 5-20 kb) for gene-rich regions in wheat. This analysis of randomly selected wheat BAC clones suggests that genes are more evenly distributed in wheat than previously believed and substantiates the need for large-scale random BAC sequencing to determine wheat genome organization.
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