Literature DB >> 23951554

ATAF1 transcription factor directly regulates abscisic acid biosynthetic gene NCED3 in Arabidopsis thaliana.

Michael Krogh Jensen1, Søren Lindemose, Federico de Masi, Julia J Reimer, Michael Nielsen, Venura Perera, Chris T Workman, Franziska Turck, Murray R Grant, John Mundy, Morten Petersen, Karen Skriver.   

Abstract

ATAF1, an Arabidopsis thaliana NAC transcription factor, plays important roles in plant adaptation to environmental stress and development. To search for ATAF1 target genes, we used protein binding microarrays and chromatin-immunoprecipitation (ChIP). This identified T[A,C,G]CGT[A,G] and TT[A,C,G]CGT as ATAF1 consensus binding sequences. Co-expression analysis across publicly available microarray experiments identified 25 genes co-expressed with ATAF1. The promoter regions of ATAF1 co-expressors were significantly enriched for ATAF1 binding sites, and TTGCGTA was identified in the promoter of the key abscisic acid (ABA) phytohormone biosynthetic gene NCED3. ChIP-qPCR and expression analysis showed that ATAF1 binding to the NCED3 promoter correlated with increased NCED3 expression and ABA hormone levels. These results indicate that ATAF1 regulates ABA biosynthesis.

Entities:  

Keywords:  ABA, abscisic acid; ATAF1, Arabidopsis thaliana activating factor 1; Abscisic acid biosynthesis; Arabidopsis; ChIP, chromatin-immunoprecipitation; DBD, DNA-binding domain; DNA-binding; NAC transcription factor; NAC, NAM, ATAF1/2, CUC2; NCED3, 9-cis-epoxycarotenoid dioxygenase-3; PBM, protein-binding microarrays; PWM, position weight matrix; SnRK, Sucrose nonfermenting 1(SNF1)-related serine/threonine-protein kinase; TF, transcription factor

Year:  2013        PMID: 23951554      PMCID: PMC3741915          DOI: 10.1016/j.fob.2013.07.006

Source DB:  PubMed          Journal:  FEBS Open Bio        ISSN: 2211-5463            Impact factor:   2.693


Introduction

Abscisic acid (ABA) controls numerous physiological processes in plants and is best known for its regulatory role in abiotic stress responses [1,2]. Upon drought and high salinity, ABA promotes desiccation tolerance by stomatal closure, enabling plants to adapt to water stress. ABA also regulates developmental processes such as seed germination, vegetative growth and bud dormancy [3-5]. More recent studies have shown that ABA also impacts plant biotic stress signaling [6,7]. Consequently, although the pathways of ABA biosynthesis and catabolism are largely defined (reviewed by Nambara and Marion-Poll [8]), understanding the regulation of these pathways is important. In particular, the cleavage of 9-cis-epoxycarotenoids to xanthoxin catalyzed by 9-cis-epoxycarotenoid dioxygenases (NCEDs) during ABA biosynthesis, which is believed to be the key regulatory step of ABA biosynthesis [9], deserves elucidation. In rice, Yaish et al. reported that over-expression of the APETALA-2-like transcription factor (TF) OsAP2–39 is associated with the up-regulation of the ABA biosynthetic gene OsNCED-I leading to an increase in endogenous ABA levels [10]. Among the five NCED genes in Arabidopsis, NCED3 plays a key role in ABA biosynthesis during water deficit [11,12], and nced3 mutants exhibit increased water loss and reduced ABA levels in vegetative tissues [12]. Recently, Jiang et al. reported the identification of a gain-of-function acquired drought tolerance (adt) mutant to be a WRKY TF conferring increased drought tolerance, ABA levels and direct NCED3 promoter binding [13]. Apart from APETALA-2-like OsAP2–39 and adt, no other direct transcriptional regulators of NCED genes have been reported. We previously highlighted NAC (petunia NAM and Arabidopsis ATAF1, ATAF2, and CUC2) TFs as components related to ABA and biotic stress signaling [6,14]. Overall, NAC genes encode a large, plant-specific family of TFs with roles in many aspects of growth, development and environmental stresses [15,16]. The N-terminal region of NAC proteins contains the highly conserved NAC domain encompassing a homo- and heterodimerization region indispensable for DNA-binding [17]. Moreover, a number of reports have identified core NAC DNA-binding sites [18-20], and the consensus binding site (BS) [T,A] [T,G][T,A,C,G]CGT[G,A] has been proposed from studies of Arabidopsis ANAC019 [17]. Indeed, phylogenetically distant members of the NAC TF family bind this NAC-BS in vitro, albeit with various affinities [21]. This suggests that there may be non-canonical k-mers relevant for various NAC TF family members that are not yet defined. NAC members of the ATAF clade of the NAC family exhibit strong and transient expression patterns to ABA treatment and environmental stress [22-24]. Additionally, ATAF1 is ubiquitously expressed in various organs, including stomatal guard cells [23]. We previously reported that ataf1 mutants are ABA-hyposensitive during seedling development and germination [14]. In line with this, plants over-expressing ATAF1 were shown to be ABA hypersensitive [24]. Also, ATAF1 was identified in a yeast two-hybrid screen to interact with Sucrose nonfermenting 1(SNF1)-related serine/threonine-protein kinase 1 (SnRK1) subunits AKIN10 and AKIN11 [25], positive regulators of ABA metabolism and key integrators of transcription networks in response to stress and energy signaling [26,27]. To improve our understanding of the regulatory potential of ATAF1, we here delineate the DNA-binding specificity of ATAF1 using protein binding microarrays (PBM), co-expression analyses and chromatin-immunoprecipitation (ChIP). This identifies abscisic acid biosynthetic NCED3 as an ATAF1 regulatory target gene. In plants over-expressing ATAF1, this correlates with increased NCED3 transcript abundance and, most importantly, increased ABA phytohormone levels. Taken together, our data indicate that ATAF1 is a regulator of ABA biosynthesis in Arabidopsis.

Results

ATAF1 consensus-binding site

We used protein-binding microarrays (PBM) as an unbiased strategy to search for ATAF1 consensus-binding motifs. PBM permits the identification of TF DNA binding specificities at single base resolution [28,29]. Since Arabidopsis NACs only bind DNA as dimers [17], we first established whether ATAF1 can homodimerize. Yeast-2-hybrid experiments showed that ATAF1 homodimerizes independently from the ATAF1 C-terminal transcriptional regulatory domain (Fig. 1A). We then heterologously expressed and purified a GST-tagged version of the ATAF1 DNA-binding NAC domain (residues 1–165; Fig. 1B) and incubated PBMs using this protein. Subsequent PBM analysis identified T[A,C,G]CGT[A,G] and TT[A,C,G]CGT 6-mers as the most significant descriptors for ATAF1 binding. The ATAF1 binding specificity position weight matrix (PWM), derived from all relevant 8-mers bound by ATAF1, is graphically illustrated in Fig. 1C (see also Supplementary Fig. S1).
Fig. 1

ATAF1 homodimerization and consensus binding site. (A) Fusion proteins of Gal4-(DBD)–ATAF1(1–165), Gal4-(AD)–ATAF1(1–289), Gal4-(AD)–ATAF1(1–165), and empty Gal4-(DBD) were co-transformed, expressed in yeast, and screened after 7 days for transactivation activity of HIS3 and ADE2 reporter genes. (B) SDS–PAGE and Coomassie Blue staining of gel molecular-mass-markers (lane 1; molecular masses in kDa at left) and approx. 5 μg of affinity-purified recombinant GST–ATAF1(1–165). (C) Consensus binding site of ATAF1 from duplicate PBM experiments.

The ATAF1 co-expression cluster is enriched for ATAF1 consensus binding sites

Co-expression occurs among TFs and target genes, and co-expression clusters can be enriched for common TF binding-sites [30,31]. To complement our PBM data to search for direct target genes of ATAF1, we data-mined >8.500 ATH1 microarray samples from the Genevestigator [32] data repository. Using a stringent (>2-fold regulation, P < 0.05) selection criterion for ATAF1 transcript level perturbations, we found 403 microarray slides from 87 perturbations. Using this data set we identified 25 top-ranking genes co-expressed with ATAF1 (r ≥ 0.66) (Table 1). Hierarchal clustering of ATAF1 and its co-expressors identified strong induction by ABA application, drought, osmotic and salt stresses (Fig. 2A), confirming earlier ATAF1 studies [23,24]. Also, the ATAF1 cluster exhibited distinct expression patterns during biotic stress (Fig. 2A). Using the PBM-derived ATAF1 binding oligomers and the POBO program [33], we analyzed whether the promoters of the ATAF1 gene cluster have an over-representation of ATAF1 binding sites. Bootstrapping analysis using 1000 promoter sets of the background Arabidopsis genome and the ATAF1 co-expression cluster, respectively, identified a significant (P < 0.001) enrichment of both T[A,C,G]CGT[A,G] and TT[A,C,G]CGT in the ATAF1 cluster compared to background genomic distribution (Fig. 2B).
Table 1

Top 25 ATAF1 co-expressed genes.a

AGIPear. corr. coeffDescriptionTTVCGTbTVCGTRb
AT5G618200.7855Unknown protein+
AT5G054100.7705DRE-binding protein 2A (DREB2A)+++++++++++++++
AT1G774500.7477NAC domain containing protein 32+++++
AT3G195800.7384Zinc-finger protein 2++++
AT3G622600.7287Protein phosphatase 2C family protein+++
AT5G592200.7167Highly ABA-induced PP2C gene 1 (HAI1)++++++
AT5G637900.7147NAC domain containing protein 102++++
AT3G177700.7132Dihydroxyacetone kinase+++
AT1G613400.7052F-box family protein
AT1G214100.7037F-box/RNI-like superfamily protein++++
AT5G020200.6946Encodes a protein involved in salt tolerance, names SIS
AT5G040800.6932Unknown protein+++++
AT2G337000.6925Protein phosphatase 2C family protein+++
AT4G274100.6901NAC (No Apical Meristem) domain protein++++
AT1G051000.6893Mitogen-activated protein kinase kinase kinase 18++++++
AT5G620200.6889Heat shock transcription factor B2A++
AT5G042500.6865Cysteine proteinases superfamily protein++++++++++++
AT4G371800.6788Homeodomain-like superfamily protein+
AT3G144400.6773Nine-cis-epoxycarotenoid dioxygenase 3 (NCED3)++++
AT5G138100.6713Glutaredoxin family protein
AT4G340000.6675Abscisic acid responsive elements-binding factor 3++
AT5G570500.6659Protein phosphatase 2C family protein (ABI2)++
AT5G043400.661Zinc finger of Arabidopsis thaliana 6+++
AT1G601900.659ARM repeat superfamily protein++
AT4G230500.6556PAS domain-containing tyrosine kinase protein

Using 403 microarray samples from 87 different conditions where ATAF1 was >2-fold regulated in treated samples compared to control samples.

V = [A,C,G] and R = [A,G], + indicates number of ATAF1 binding 6-mers in 1 kb promoters.

Fig. 2

ATAF1 co-expression gene cluster is enriched for ATAF1 binding sites. (A) Using 403 microarray samples from 87 conditions either significantly inducing or repressing ATAF1 expression, identifies 25 co-expressed genes with a Pearson correlation coefficient >0.66. (B) Bootstrapping analyses using POBO [33] show that promoters of ATAF1 co-expressed genes are significantly (P < 0.001) enriched for ATAF1 consensus binding sites T[A,C,G]CGT[A,G] and TT[A,C,G]CGT.

ATAF1 directly regulates the abscisic acid biosynthetic gene NCED3

In addition to ABA-inducible expression, the list of ATAF1 co-expressed genes also includes the key regulatory ABA biosynthetic gene NCED3. We performed two experiments to investigate whether ATAF1 directly regulates ABA biosynthesis. First, to investigate the correlation between ATAF1 and ABA hormone biosynthesis in planta, we produced plants over-expressing ATAF1 (35S:ATAF1-HA). In agreement with earlier studies [24,25,34], these plants showed stunted growth and delayed flowering (Fig. 3A–C, and Supplementary Fig. S2). The observed phenotype of these plants correlated with increased ATAF1 transcript levels and were not associated with transgene silencing of ATAF1 and other ATAF subclade members, as reported by Kleinow et al. ([25], Figs. 3B and 4A). Using these plants, we observed ATAF1 over-expressing plants to have significant (approx. 6- and 7.5-fold) increased ABA levels (P < 0.01) compared to wild-type and ataf1 mutants, respectively (Fig. 3D).
Fig. 3

Ectopic expression of ATAF1 arrests plant development and activates ABA biosynthesis. (A) Eight week-old short-day grown Col-0 wild-type and ataf1–2, compared to plants ectopically expressing HA-tagged ATAF1. Two independent 35S:ATAF1-HA lines (1:3 and 3:1) display growth reduction. (B) Quantitative expression profiles of endogenous and ectopic ATAF1 in Col-0 wild-type, ataf1–2 and 35S:ATAF1-HA plants. Mean (±sem) relative expression units (log 10 scale) are displayed using ACT2 as reference. Bars represent the mean of three biological replicates. (C) Expression of HA-tagged ATAF1 using SDS–PAGE and Western blot. The blot was probed with an anti-HA antibody. Representative result from three replicates is shown. The unspecific band at 37 kDA serves as a loading control. (D) Endogenous levels of ABA were measured. Bars represent the mean of three biological replicates. Error bars represent ±1 standard deviation. Statistical analyses were performed using Student's t-test of the differences between individual means compared to Col-0 (**P < 0.01). (E) Direct binding of ATAF1 to the NCED3 promoter (between position –1136 and –1265 bp) was analyzed using ChIP-qPCR on 35S:ATAF1-HA over-expressing (ATAF1-HA) and Col-0 wild-type plants. A non-binding control (NB) 1 kb downstream of the ATAF1–NCED3 binding site, and a positive TFL2 TF binding-site control (FLOWERING LOCUS T (FT), [35]) were included. The ChIP results obtained by three independent replicate experiments are represented as percentage of input (%IP), and the error bars indicate ±1 standard deviation. (F) Expression of ABA biosynthetic gene NCED3 in ATAF1 over-expressing plants compared to wild-type Col-0 and ataf1 mutants. Expression level of NCED3 was determined by qPCR in the indicated genotypes. Mean (±sem) relative expression units are displayed using ACT2 as reference. Bars represent the mean of three biological replicates. Statistical analyses were performed using Student's t-test of the differences between individual means compared to Col-0 (*P < 0.05, **P < 0.01).

Fig. 4

Expression perturbations of ATAF subclade members and ATAF1 co-expressed genes. (A) Expression of genes encoding ATAF subclade NAC TFs. Expression level of candidate genes was determined by qPCR in the indicated genotypes. Mean (±sem) relative expression units are displayed using ACT2 as reference. Bars represent the mean of three biological replicates. (B) Expression of ATAF1 co-expressed genes in ATAF1 over-expressing plants compared to wild-type Col-0 and ataf1 mutants. Statistical analyses were performed using Student's t-test of the differences between individual means compared to Col-0 (*P < 0.05).

Second, to determine whether ATAF1 binds the promoter of NCED3 in vivo, we performed ChIP on wild-type and 35S:ATAF1-HA plants (Fig. 3A). Subsequent qPCR identified a region (position –1134 to –1265 bp) including a TTGCGTA ATAF1 binding motif to be enriched in ChIPs from ATAF1 over-expressing plants (Fig. 3E). ATAF1 did not bind a region between –120 and –218 bp (non-binding; NB), confirming ATAF1 binding specificity. As a technical control, the FT locus targeted by the HA-tagged TFL2 TF was included [35] (Fig. 3E). Finally, to assess the regulatory potential of ATAF1 we determined the transcript levels of NCED3 and found ∼10-fold increase in ATAF1 over-expressing plants compared to wild-type. In contrast, mean NCED3 levels were significantly lower in ataf1 mutants (Fig. 3F), substantiating the strong positive correlation between ATAF1 and NCED3 transcript levels (Fig. 2A). In addition to NCED3, transcript levels of several other top-ranking ATAF1 co-expressed genes displayed ATAF1-dependent expression perturbations, though with a narrower dynamic range compared to NCED3 (Fig. 4B). Collectively, our data indicate that ATAF1 activates ABA hormone biosynthesis in plants, through transcriptional activation of NCED3.

Discussion

Here we identify ATAF1 as a positive regulator of ABA biosynthesis. We show that ATAF1 and NCED3 are co-expressed, and that ATAF1 binds the NCED3 promoter in vivo. Most importantly, ATAF1-mediated induction of NCED3 in plants over-expressing ATAF1 correlates with increased ABA levels. In support of our observations, ATAF1 exhibits strong expression in stomatal guard cells and in the vasculature [23], and plants over-expressing ATAF1 have reduced stomatal aperture [24]. Interestingly, NCED3 has a constrained spatial expression in vascular tissues [36], yet transient expression of NCED3 in guard cells causes a decrease in stomatal aperture [37]. Hence, both at the transcript level and at the physiological level, the overlap between ATAF1 and NCED3 abundances and functionalities is evident. Hypersensitivity to ABA and increased endogenous ABA levels are often associated with increased tolerance to salt and drought stresses [38,39]. Thus, reduced ABA levels in plants may be associated with drought sensitivity [40]. We have previously reported that ataf1 mutants are ABA-hyposensitive during seedling development and germination [14], and plants over-expressing ATAF1 have been shown to be hypersensitive to ABA and drought tolerant [24]. Moreover, plants over-expressing ATAF1 display stunted growth and delayed flowering, alike ABA-hypersensitive plants over-expressing the ATAF1 interaction partner SnRK1.1/AKIN10 [25,26,41]. This agrees with reports on ABA-deficient mutants displaying early flowering [42], and exogenous ABA application to delay flowering [43]. In addition to NCED3, several other ATAF1 co-expressors showed displayed ATAF1-dependent expression perturbations. Specifically, significant changes in expression levels of both ABI2 and DREB2A were observed in aaf1–2 and ATAF1-overexpressing plants, respectively, compared to wild-type plants (Fig. 4B). DREB2A encodes a transcription factor regulating drought and osmotic-inducible genes [44,45], and ABI2, and other clade A type 2C protein phosphatases (PP2Cs), are known to be negative regulators of ABA signaling by dephosphorylation of ABA-activated Sucrose nonfermenting 1(SNF1)-related serine/threonine-protein kinases (SnRKs) [46-48]. We speculate that the positive correlation between ATAF1 and transcript levels of genes encoding PP2Cs (Fig. 2, Table 1, and Fig. 4A) may reflect a negative feed-back loop needed to dampen the increased endogenous ABA levels associated with ATAF1 induction or over-expression. Finally, we note that our unbiased PBM-approach recovered a binding-site similar to that reported for ANAC019 [17], and that functional redundancy has been reported for NAC TFs [49,50]. Overlapping polymorphisms within NAC binding sites, could also explain why residual NCED3 and ABA levels are observed in ataf1 mutant plants (Fig. 3D and F). This also includes the potentially physiologically relevant ATAF1–ATAF2 heterodimerization reported by Wu et al. ([24], and Supplementary Fig. S4). However, using PBM to uncover binding site preferences for all basic helix-loop-helix (bHLH) TFs from Caenorrhabditis elegans, none of the bHLH proteins that participate in heterodimeric interactions were shown to exhibit significant sequence-specific DNA binding on their own [51]. In our study, ATAF1 on it's own shows sequence specificity to DNA-binding (Fig. 1C). Knowing that dimerization-deficient NAC mutants do not bind DNA [17], this indicates that top-ranking oligomers in this study are bona fide targets of ATAF1 homodimers. In combination with stringent co-expression analysis using hundreds of genome-wide expression data sets, our data emphasize the value of in vitro-defined oligomers in estimating TF binding sites and identification of target genes. Ideally, probing all plant TFs using such analyses should uncover the complex transcriptional imprint required to fine-tune plant hormone homeostasis.

Methods and materials

Plant materials and growth conditions

Arabidopsis thaliana wild-type accession Col-0 and ataf1–2 mutant plants (T-DNA insertion line SALK-057618) [23], were grown on soil in controlled environment chambers under an 8 h light regime (150–170 μE/m2 s) at 21 °C and 65% relative humidity.

Plasmid construction and plant transformation

The ATAF1-HA C-terminally tagged gene was generated by amplifying a full-length ATAF1 cDNA obtained from ABRC with forward and reverse primers; AAAGAATTCATGTCAGAATTATTACAGTTGCC and CCGGGATCCCTAAGCGTAATCTGGTACGTCGTATGGGTAAGGCTTCTGCATGTAC, respectively, and cloned into pCAMBIA3300. Transformation of Col-0 plants was performed by the floral dip method [52] using Agrobacterium tumefaciens strain GV3101 (pMP90). Transgenic plants were selected by BASTA spraying, and homozygous T3 seeds from transformants expressing transgenes were used for subsequent analyses. The 35S:ATAF1-HA construct used in this study complements the ataf1 mutations [14], indicating that the addition of the HA epitope does not impair ATAF1 function.

Protein expression and purification

N-terminally GST-tagged, recombinant ATAF1(1–165) was cloned, expressed and purified as described [21].

Protein binding microarray

Microarray design, preparation, and PBM experiments were performed as described previously by Berger and Bulyk [53]. All experiments were performed using custom-designed “all 8-mer” arrays synthesized in a “4 × 44K” array format (Agilent Technologies, CA, USA) containing 4 copies of publicly available de Bruijn sequences [28,54]. Briefly, 200 nM of GST-ATAF1(1–165) protein was incubated on the microarray for 60′ at RT. TF–DNA interactions were detected by first incubating the array with a rabbit anti-GST polyclonal antibody (Invitrogen), followed by a Cy5 labeled anti-rabbit antibody (JacksonImmuno, PA, USA). Blocking, protein binding and washing procedures were identical to standard PBM protocols [53].

Protein binding microarray data normalization and motif analysis

Microarrays were scanned using a SureScan scanner at a 2 μm resolution (Agilent Technologies, CA, USA), and spot intensities retrieved using Feature Extraction Software (Agilent Technologies, CA, USA). Data normalization and analysis were performed as described previously [53]. Resulting PWMs were graphically visualized using enoLOGOS [55].

Western blotting

Nuclear extracts were precipitated over-night with 80% acetone and proteins resuspended and boiled in SDS–PAGE loading buffer. Supernatants were separated by SDS–PAGE and proteins detected by Western blotting using monoclonal mouse anti-HA antibody (Sigma, MO, USA).

Yeast two-hybrid assays and qPCR analyses

Both methods were as described in [21]. Primers used to clone ATAF1(1–165) into pGBKT7 were AAGAATTCATGTCAGAATTATTACAGTTGCC and CCGGGATCCCCGCCTCTCGGTAGCTCC. Primers for pGADT7-ATAF1(1–165) and pGADT7-ATAF1(1–289) used forward primer AAGAATTCATGTCAGAATTATTACAGTTGCC. Reverse primers were CCGGGATCCCCGCCTCTCGGTAGCTCC and CCGGGATCCGTAAGGCTTCTGCATGTACATGAA, respectively. For quantitative real-time PCR (qPCR), Actin2 (ACT2) was used as a reference. For NCED3 we used AGCTCCTTACCTATGGCCAG and CGCTCTCTGGAACAAATTCATC. For endogenous ATAF1 we used GTTGTTTACGGCGACGAAATC and TAAAACGGTCTCGTGTTGCCATAA. For ectopic ATAF1 we used GTTGTTTACGGCGACGAAATC and CGGCAACAGGATTCAATCTT. QPCRs were performed in triplicate for each individual line using Brilliant II SYBR Green qPCR kit (Stratagene, CA, USA) on an iCycler IQ (Bio-Rad, CA, USA). Quantification of CT (cycle threshold) values was achieved by calculating means of normalized expression using Q-gene software [56].

ChIP assay

Five-week old 35S:ATAF1-HA, 35S:TFL2-HA and Col-0 wild-type plants were harvested. The ChIP procedure was performed according to Reimer and Turck [57]. The DNA was sheared by sonication using a Mysonix sonicator (CT, USA) set to 3.5 output 10 × 10 s with 20 s. interval, and immunoprecipitated using anti-HA antibodies (Sigma, MO, USA). Each of the IPs was performed at least three independent times. For ChIP of NCED3 we used CAGTTGTCTATTATCCTAGAAACCA and TGATGTAACACACCGAC. For the non-binding (NB) control we used; GGTTATAGAGGGAATTAAAAAGGG and GTCTCAAGTCTCAACTTTGAACC. For FT we used GCTCAAACATGTTGCTCGAA and TGCGATCAGTAAAATACACAGACA.

MS–LC for hormone quantifications

Quantifications were performed as described [58]. Statistical analyses were performed using Student's t-test (**P < 0.01).

Accession numbers

The following accession codes were used: ATAF1, At1g01720; FL, At1g65480; NCED3, At3g14440.

Funding

This work was supported by the Danish Research Council (09-06410) and Villum-Kann Rasmussen Foundation (VKR09-007) awarded to M.K.J.
  56 in total

1.  GENEVESTIGATOR. Arabidopsis microarray database and analysis toolbox.

Authors:  Philip Zimmermann; Matthias Hirsch-Hoffmann; Lars Hennig; Wilhelm Gruissem
Journal:  Plant Physiol       Date:  2004-09       Impact factor: 8.340

2.  Functional analysis of Arabidopsis NCED6 and NCED9 genes indicates that ABA synthesized in the endosperm is involved in the induction of seed dormancy.

Authors:  Valérie Lefebvre; Helen North; Anne Frey; Bruno Sotta; Mitsunori Seo; Masanori Okamoto; Eiji Nambara; Annie Marion-Poll
Journal:  Plant J       Date:  2006-02       Impact factor: 6.417

3.  Variation in homeodomain DNA binding revealed by high-resolution analysis of sequence preferences.

Authors:  Michael F Berger; Gwenael Badis; Andrew R Gehrke; Shaheynoor Talukder; Anthony A Philippakis; Lourdes Peña-Castillo; Trevis M Alleyne; Sanie Mnaimneh; Olga B Botvinnik; Esther T Chan; Faiqua Khalid; Wen Zhang; Daniel Newburger; Savina A Jaeger; Quaid D Morris; Martha L Bulyk; Timothy R Hughes
Journal:  Cell       Date:  2008-06-27       Impact factor: 41.582

4.  Genome-wide mapping of protein-DNA interaction by chromatin immunoprecipitation and DNA microarray hybridization (ChIP-chip). Part A: ChIP-chip molecular methods.

Authors:  Julia J Reimer; Franziska Turck
Journal:  Methods Mol Biol       Date:  2010

5.  Regulation of drought tolerance by gene manipulation of 9-cis-epoxycarotenoid dioxygenase, a key enzyme in abscisic acid biosynthesis in Arabidopsis.

Authors:  S Iuchi; M Kobayashi; T Taji; M Naramoto; M Seki; T Kato; S Tabata; Y Kakubari; K Yamaguchi-Shinozaki; K Shinozaki
Journal:  Plant J       Date:  2001-08       Impact factor: 6.417

6.  A mutational analysis of the ABA1 gene of Arabidopsis thaliana highlights the involvement of ABA in vegetative development.

Authors:  José María Barrero; Pedro Piqueras; Miguel González-Guzmán; Ramón Serrano; Pedro L Rodríguez; María Rosa Ponce; José Luis Micol
Journal:  J Exp Bot       Date:  2005-06-27       Impact factor: 6.992

7.  Molecular characterization of the Arabidopsis 9-cis epoxycarotenoid dioxygenase gene family.

Authors:  Bao-Cai Tan; Leina M Joseph; Wen-Tao Deng; Lijuan Liu; Qin-Bao Li; Kenneth Cline; Donald R McCarty
Journal:  Plant J       Date:  2003-07       Impact factor: 6.417

8.  Role of the Arabidopsis thaliana NAC transcription factors ANAC019 and ANAC055 in regulating jasmonic acid-signaled defense responses.

Authors:  Qingyun Bu; Hongling Jiang; Chang-Bao Li; Qingzhe Zhai; Jie Zhang; Xiaoyan Wu; Jiaqiang Sun; Qi Xie; Chuanyou Li
Journal:  Cell Res       Date:  2008-07       Impact factor: 25.617

9.  Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors.

Authors:  Michael F Berger; Martha L Bulyk
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

10.  Abscisic acid refines the synthesis of chloroplast proteins in maize (Zea mays) in response to drought and light.

Authors:  Xiuli Hu; Xiaolin Wu; Chaohai Li; Minghui Lu; Tianxue Liu; Ying Wang; Wei Wang
Journal:  PLoS One       Date:  2012-11-13       Impact factor: 3.240

View more
  65 in total

1.  Overexpression of a Miscanthus lutarioriparius NAC gene MlNAC5 confers enhanced drought and cold tolerance in Arabidopsis.

Authors:  Xuanwen Yang; Xiaoyu Wang; Lu Ji; Zili Yi; Chunxiang Fu; Jingcheng Ran; Ruibo Hu; Gongke Zhou
Journal:  Plant Cell Rep       Date:  2015-02-10       Impact factor: 4.570

2.  The zinc finger transcription factor SlZFP2 negatively regulates abscisic acid biosynthesis and fruit ripening in tomato.

Authors:  Lin Weng; Fangfang Zhao; Rong Li; Changjie Xu; Kunsong Chen; Han Xiao
Journal:  Plant Physiol       Date:  2015-01-30       Impact factor: 8.340

3.  Identification and functional characterization of the NAC gene promoter from Populus euphratica.

Authors:  Jun-Ying Wang; Jun-Ping Wang; Hai-Feng Yang
Journal:  Planta       Date:  2016-04-15       Impact factor: 4.116

4.  Transcription Factor Arabidopsis Activating Factor1 Integrates Carbon Starvation Responses with Trehalose Metabolism.

Authors:  Prashanth Garapati; Regina Feil; John Edward Lunn; Patrick Van Dijck; Salma Balazadeh; Bernd Mueller-Roeber
Journal:  Plant Physiol       Date:  2015-07-06       Impact factor: 8.340

5.  Leaf isoprene emission as a trait that mediates the growth-defense tradeoff in the face of climate stress.

Authors:  Russell K Monson; Sarathi M Weraduwage; Maaria Rosenkranz; Jörg-Peter Schnitzler; Thomas D Sharkey
Journal:  Oecologia       Date:  2021-01-08       Impact factor: 3.225

6.  The ATAF1 transcription factor is a key regulator of aldehyde dehydrogenase 7B4 (ALDH7B4) gene expression in Arabidopsis thaliana.

Authors:  Junyi Zhao; Tagnon D Missihoun; Dorothea Bartels
Journal:  Planta       Date:  2018-07-19       Impact factor: 4.116

7.  Transcriptome Profiling of Tiller Buds Provides New Insights into PhyB Regulation of Tillering and Indeterminate Growth in Sorghum.

Authors:  Tesfamichael H Kebrom; John E Mullet
Journal:  Plant Physiol       Date:  2016-02-18       Impact factor: 8.340

8.  Decreasing electron flux through the cytochrome and/or alternative respiratory pathways triggers common and distinct cellular responses dependent on growth conditions.

Authors:  Kristina Kühn; Guangkun Yin; Owen Duncan; Simon R Law; Szymon Kubiszewski-Jakubiak; Parwinder Kaur; Etienne Meyer; Yan Wang; Catherine Colas des Francs Small; Estelle Giraud; Reena Narsai; James Whelan
Journal:  Plant Physiol       Date:  2014-11-06       Impact factor: 8.340

9.  SPLICING FACTOR1 Is Important in Chloroplast Development under Cold Stress.

Authors:  Yajuan Zhu; Wenjuan Wu; Wei Shao; Jingli Chen; Xiaoning Shi; Xiaoyu Ma; Yong-Zhen Xu; Weihua Huang; Jirong Huang
Journal:  Plant Physiol       Date:  2020-07-30       Impact factor: 8.340

10.  The GIGANTEA-ENHANCED EM LEVEL Complex Enhances Drought Tolerance via Regulation of Abscisic Acid Synthesis.

Authors:  Dongwon Baek; Woe-Yeon Kim; Joon-Yung Cha; Hee Jin Park; Gilok Shin; Junghoon Park; Chae Jin Lim; Hyun Jin Chun; Ning Li; Doh Hoon Kim; Sang Yeol Lee; Jose M Pardo; Min Chul Kim; Dae-Jin Yun
Journal:  Plant Physiol       Date:  2020-07-20       Impact factor: 8.340

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.