Literature DB >> 25361952

A functional and evolutionary perspective on transcription factor binding in Arabidopsis thaliana.

Ken S Heyndrickx1, Jan Van de Velde1, Congmao Wang2, Detlef Weigel2, Klaas Vandepoele3.   

Abstract

Understanding the mechanisms underlying gene regulation is paramount to comprehend the translation from genotype to phenotype. The two are connected by gene expression, and it is generally thought that variation in transcription factor (TF) function is an important determinant of phenotypic evolution. We analyzed publicly available genome-wide chromatin immunoprecipitation experiments for 27 TFs in Arabidopsis thaliana and constructed an experimental network containing 46,619 regulatory interactions and 15,188 target genes. We identified hub targets and highly occupied target (HOT) regions, which are enriched for genes involved in development, stimulus responses, signaling, and gene regulatory processes in the currently profiled network. We provide several lines of evidence that TF binding at plant HOT regions is functional, in contrast to that in animals, and not merely the result of accessible chromatin. HOT regions harbor specific DNA motifs, are enriched for differentially expressed genes, and are often conserved across crucifers and dicots, even though they are not under higher levels of purifying selection than non-HOT regions. Distal bound regions are under purifying selection as well and are enriched for a chromatin state showing regulation by the Polycomb repressive complex. Gene expression complexity is positively correlated with the total number of bound TFs, revealing insights in the regulatory code for genes with different expression breadths. The integration of noncanonical and canonical DNA motif information yields new hypotheses on cobinding and tethering between specific TFs involved in flowering and light regulation.
© 2014 American Society of Plant Biologists. All rights reserved.

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Year:  2014        PMID: 25361952      PMCID: PMC4247581          DOI: 10.1105/tpc.114.130591

Source DB:  PubMed          Journal:  Plant Cell        ISSN: 1040-4651            Impact factor:   11.277


  99 in total

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Journal:  Science       Date:  2010-12-22       Impact factor: 47.728

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10.  Architecture of the human regulatory network derived from ENCODE data.

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  47 in total

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Review 2.  Bioinformatic landscapes for plant transcription factor system research.

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7.  TF2Network: predicting transcription factor regulators and gene regulatory networks in Arabidopsis using publicly available binding site information.

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10.  Ectopic expression of SOD and APX genes in Arabidopsis alters metabolic pools and genes related to secondary cell wall cellulose biosynthesis and improve salt tolerance.

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