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  • 1
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2009-11-26
    Description: TAL effectors of plant pathogenic bacteria in the genus Xanthomonas bind host DNA and activate genes that contribute to disease or turn on defense. Target specificity depends on an effector-variable number of typically 34 amino acid repeats, but the mechanism of recognition is not understood. We show that a repeat-variable pair of residues specifies the nucleotides in the target site, one pair to one nucleotide, with no apparent context dependence. Our finding represents a previously unknown mechanism for protein-DNA recognition that explains TAL effector specificity, enables target site prediction, and opens prospects for use of TAL effectors in research and biotechnology.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Moscou, Matthew J -- Bogdanove, Adam J -- New York, N.Y. -- Science. 2009 Dec 11;326(5959):1501. doi: 10.1126/science.1178817. Epub .〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Plant Pathology and Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA 50011, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19933106" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Bacterial Proteins/chemistry/metabolism ; Base Sequence ; Computational Biology ; DNA, Plant/chemistry/genetics/*metabolism ; DNA-Binding Proteins/*chemistry/*metabolism ; Molecular Sequence Data ; Nucleotides/metabolism ; Oryza/*genetics/microbiology ; Promoter Regions, Genetic ; Protein Array Analysis ; Repetitive Sequences, Amino Acid ; *Transcriptional Activation ; Xanthomonas/*metabolism/pathogenicity
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2017-12-22
    Keywords: Genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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