TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: tools for TAL effector design and target prediction

被引:446
作者
Doyle, Erin L. [1 ]
Booher, Nicholas J. [2 ]
Standage, Daniel S. [3 ]
Voytas, Daniel F. [4 ,5 ]
Brendel, Volker P. [6 ,7 ]
VanDyk, John K. [2 ]
Bogdanove, Adam J. [1 ]
机构
[1] Iowa State Univ, Dept Plant Pathol & Microbiol, Ames, IA 50011 USA
[2] Iowa State Univ, Dept Entomol, Ames, IA 50011 USA
[3] Iowa State Univ, Dept Genet Dev & Cell Biol, Ames, IA 50011 USA
[4] Univ Minnesota, Dept Genet Cell Biol & Dev, Minneapolis, MN 55455 USA
[5] Univ Minnesota, Ctr Genome Engn, Minneapolis, MN 55455 USA
[6] Indiana Univ, Dept Biol, Bloomington, IN 47405 USA
[7] Indiana Univ, Sch Informat & Comp, Bloomington, IN 47405 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
DNA-BINDING SPECIFICITY; DOUBLE-STRAND BREAKS; EFFICIENT CONSTRUCTION; NUCLEASES; GENE; TRANSCRIPTION; RECOGNITION; PROTEINS; KNOCKOUT;
D O I
10.1093/nar/gks608
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Transcription activator-like (TAL) effectors are repeat-containing proteins used by plant pathogenic bacteria to manipulate host gene expression. Repeats are polymorphic and individually specify single nucleotides in the DNA target, with some degeneracy. A TAL effector-nucleotide binding code that links repeat type to specified nucleotide enables prediction of genomic binding sites for TAL effectors and customization of TAL effectors for use in DNA targeting, in particular as custom transcription factors for engineered gene regulation and as site-specific nucleases for genome editing. We have developed a suite of web-based tools called TAL Effector-Nucleotide Targeter 2.0 (TALE-NT 2.0; https://boglab.plp.iastate.edu/) that enables design of custom TAL effector repeat arrays for desired targets and prediction of TAL effector binding sites, ranked by likelihood, in a genome, promoterome or other sequence of interest. Search parameters can be set by the user to work with any TAL effector or TAL effector nuclease architecture. Applications range from designing highly specific DNA targeting tools and identifying potential off-target sites to predicting effector targets important in plant disease.
引用
收藏
页码:W117 / W122
页数:6
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