Expression of key DELLA repressors and their regulators in gcn5 and ada2b mutant backgrounds. For each experiment the expression of the target gene in a wildtype background was set to 1 and the expression in the mutant background is calculated relative to that, with upregulation signified by numbers greater than 1 and downregulation by numbers less than 1. Gray dashed lines indicate the position of a 1.5-fold change. Bars show the average expression from 4-6 experiments; error bars show calculated standard deviation. Asterisks indicate a statistically significant difference as measured by Student’s t-test (p<0.05). A. Quantitative RT-PCR (qRT-PCR) results for GAI, RGA, SLY1, SPY, and SEC in gcn5-6 mutants. B, C. qRT-PCR analysis of SPY and SEC in gcn5-1 (B) and ada2b-1 (C) backgrounds.
Description
Since trichome number is altered with disruption of GCN5 or ADA2b (Kotak et al. 2019; Wang et al. 2019), we sought to determine whether these chromatin factors might impact the expression of known regulators of trichome initiation, including two members of the DELLA family of repressor proteins, GA-Insensitive (GAI) and REPRESSOR of ga1-3 (RGA). As their names suggest, these proteins are sensitive to gibberellin (GA) signaling (Silverstone et al. 2001). GA complexed with its receptor can bind to DELLA proteins and promote their interaction with a component of an E3 ubiquitin ligase, SLEEPY1 (SLY1), leading to subsequent proteasome-media degradation (Dill et al. 2004). In addition to SLY1, we also assessed the expression of SPINDLY (SPY) and SECRET AGENT (SEC), both known to covalently modify RGA and impact its functionality in a positive and negative manner respectively (Zentella et al. 2016, 2017).In mature rosette leaves of gcn5-6 plants (harboring a T-DNA insertion that disrupts the catalytic domain of GCN5; Kotak et al. 2018), we detect a trend of decreased expression of GAI, while no consistent change in expression is seen for RGA. Among the factors that influence the activity of the DELLA repressors, SLY1 showed no change in expression. On average, there was a 1.5X increase in SPY expression in gcn5-6 mutants while SEC expression was more than doubled (Fig. 1A). Expression analysis comparing the Columbia (wildtype) and gcn5-6 background included five biological replicates, except for SLY1, where n=4.A microarray experiment conducted by Vlachonasios et al. 2003 provides some additional data on these genes’ expression in ADA2b and GCN5 disruption mutants. Specifically, in ada2b-1 and gcn5-1 plants (Vlachonasios et al. 2003), GAI expression is slightly decreased (less than three-fold) while RGA expression is unchanged, paralleling what we report here with gcn5-6. SLY1 expression was also slightly decreased in ada2b-1 and gcn5-1 plants. Since SPY and SEC were not included in the microarray experiment, we assayed their expression via qRT-PCR. SPY expression is unchanged in gcn5-1. This is consistent with the lack of a significant change in gcn5-6 plants. In ada2b-1 plants, SPY expression is increased more than 2-fold. SEC expression is increased in both gcn5-1 and ada2b-1 in comparison to Ws (wildtype) controls. These experiments included 4-6 biological replicates.
Reagents
Arabidopsis thaliana plants were germinated in soil and grown at 22°C under continuous light conditions (140 µmoles/m2/sec). Plants were watered once a week with Hoagland’s solution and a second time weekly (or as needed) with deionized water. Plants were genotyped via PCR as described previously (Kotak et al. 2018) and rosette leaves were harvested at 4-5 weeks of age and flash frozen in liquid nitrogen prior to preparation of RNA (Qiagen Plant RNeasy kit). Between 0.5-1 µg of RNA was used in each cDNA synthesis reaction (Maxima H Minus cDNA Synthesis Master Mix with dsDNAse, Thermo Scientific). Quantitative PCR was performed using an Applied Biosystems StepOne Plus instrument with the FAST SYBR Green Master Mix. Primer sequences used to amplify each target cDNA as well as two “housekeeping” genes, At4g26410 (used in GAI and RGA trials) and At1g13440 (used in SLY1, SPY, and SEC trials) are listed in the Table below. Comparative Ct analysis that includes normalization of wildtype (Ws-2 or Col-0) and mutant samples based on expression of the housekeeping gene was conducted using the Applied Biosystems instrument software. Melting temperature analysis confirmed the presence of a single amplicon in each reaction. Each data point within an experiment was performed in triplicate, with an allowable standard deviation of Ct values < 5%. Average Ct values for the housekeeping gene for wildtype and mutant samples needed to be within three cycles of one another for data to be included in this analysis.
Authors: Jenna Kotak; Marina Saisana; Vasilis Gegas; Nikoletta Pechlivani; Athanasios Kaldis; Panagiotis Papoutsoglou; Athanasios Makris; Julia Burns; Ashley L Kendig; Minnah Sheikh; Cyrus E Kuschner; Gabrielle Whitney; Hanna Caiola; John H Doonan; Konstantinos E Vlachonasios; Elizabeth R McCain; Amy T Hark Journal: Planta Date: 2018-05-30 Impact factor: 4.116
Authors: Rodolfo Zentella; Ning Sui; Benjamin Barnhill; Wen-Ping Hsieh; Jianhong Hu; Jeffrey Shabanowitz; Michael Boyce; Neil E Olszewski; Pei Zhou; Donald F Hunt; Tai-Ping Sun Journal: Nat Chem Biol Date: 2017-02-28 Impact factor: 15.040
Authors: Rodolfo Zentella; Jianhong Hu; Wen-Ping Hsieh; Peter A Matsumoto; Andrew Dawdy; Benjamin Barnhill; Harriëtte Oldenhof; Lynn M Hartweck; Sushmit Maitra; Stephen G Thomas; Shelley Cockrell; Michael Boyce; Jeffrey Shabanowitz; Donald F Hunt; Neil E Olszewski; Tai-Ping Sun Journal: Genes Dev Date: 2016-01-15 Impact factor: 11.361