02614nas a2200517 4500008004100000020004600041245014500087210006900232260001200301300001200313490000700325520091000332653004701242653005901289653002401348653003801372653002901410653001701439653002001456653002101476653002001497653003601517653003301553653003001586653004301616653004101659653004801700653003301748100001901781700001501800700001801815700001101833700001801844700001301862700002001875700001401895700001401909700002101923700001401944700002201958700001501980700001501995700001802010700001902028856004902047 2016 eng d a1878-1551 (Electronic)1534-5807 (Linking)00aEstablishment of Expression in the SHORTROOT-SCARECROW Transcriptional Cascade through Opposing Activities of Both Activators and Repressors0 aEstablishment of Expression in the SHORTROOTSCARECROW Transcript c12/2016 a585-5960 v393 a

Tissue-specific gene expression is often thought to arise from spatially restricted transcriptional cascades. However, it is unclear how expression is established at the top of these cascades in the absence of pre-existing specificity. We generated a transcriptional network to explore how transcription factor expression is established in the Arabidopsis thaliana root ground tissue. Regulators of the SHORTROOT-SCARECROW transcriptional cascade were validated in planta. At the top of this cascade, we identified both activators and repressors of SHORTROOT. The aggregate spatial expression of these regulators is not sufficient to predict transcriptional specificity. Instead, modeling, transcriptional reporters, and synthetic promoters support a mechanism whereby expression at the top of the SHORTROOT-SCARECROW cascade is established through opposing activities of activators and repressors.

10aArabidopsis Proteins/ genetics/ metabolism10aArabidopsis/ genetics/growth & development/ metabolism10aComputer Simulation10aGene Expression Regulation, Plant10aGene Regulatory Networks10aGenes, Plant10aGenes, Reporter10aGenes, Synthetic10aModels, Genetic10aPlant Roots/cytology/metabolism10aPlants, Genetically Modified10aPromoter Regions, Genetic10aRepressor Proteins/genetics/metabolism10aTrans-Activators/genetics/metabolism10aTranscription Factors/ genetics/ metabolism10aTwo-Hybrid System Techniques1 aSparks, E., E.1 aDrapek, C.1 aGaudinier, A.1 aLi, S.1 aAnsariola, M.1 aShen, N.1 aHennacy, J., H.1 aZhang, J.1 aTurco, G.1 aPetricka, J., J.1 aForet, J.1 aHartemink, A., J.1 aGordan, R.1 aMegraw, M.1 aBrady, S., M.1 aBenfey, P., N. uhttps://doi.org/10.1016/j.devcel.2016.09.03102911nas a2200457 4500008004100000022001400041245011200055210006900167260001300236300001200249490000700261520157400268653001601842653002501858653001801883653002101901653001501922653003801937653001801975653002001993653002202013653001602035653003002051653001902081653001502100653002702115653002402142653001302166653002602179653003402205100001602239700002102255700002302276700001302299700002002312700001702332700002202349700001502371700001802386856004902404 2014 eng d a1532-298X00aPaired-end analysis of transcription start sites in Arabidopsis reveals plant-specific promoter signatures.0 aPairedend analysis of transcription start sites in Arabidopsis r c2014 Jul a2746-600 v263 a

Understanding plant gene promoter architecture has long been a challenge due to the lack of relevant large-scale data sets and analysis methods. Here, we present a publicly available, large-scale transcription start site (TSS) data set in plants using a high-resolution method for analysis of 5' ends of mRNA transcripts. Our data set is produced using the paired-end analysis of transcription start sites (PEAT) protocol, providing millions of TSS locations from wild-type Columbia-0 Arabidopsis thaliana whole root samples. Using this data set, we grouped TSS reads into "TSS tag clusters" and categorized clusters into three spatial initiation patterns: narrow peak, broad with peak, and weak peak. We then designed a machine learning model that predicts the presence of TSS tag clusters with outstanding sensitivity and specificity for all three initiation patterns. We used this model to analyze the transcription factor binding site content of promoters exhibiting these initiation patterns. In contrast to the canonical notions of TATA-containing and more broad "TATA-less" promoters, the model shows that, in plants, the vast majority of transcription start sites are TATA free and are defined by a large compendium of known DNA sequence binding elements. We present results on the usage of these elements and provide our Plant PEAT Peaks (3PEAT) model that predicts the presence of TSSs directly from sequence.

[Link to Additional Data and Supplementary Materials]

10aArabidopsis10aArabidopsis Proteins10aBinding Sites10aCluster Analysis10aDNA, Plant10aGene Expression Regulation, Plant10aGenome, Plant10aModels, Genetic10aNucleotide Motifs10aPlant Roots10aPromoter Regions, Genetic10aRNA, Messenger10aRNA, Plant10aSequence Analysis, DNA10aSpecies Specificity10aTATA Box10aTranscription Factors10aTranscription Initiation Site1 aMorton, Taj1 aPetricka, Jalean1 aCorcoran, David, L1 aLi, Song1 aWinter, Cara, M1 aCarda, Alexa1 aBenfey, Philip, N1 aOhler, Uwe1 aMegraw, Molly uhttps://megraw.cgrb.oregonstate.edu/node/319