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. 2005 Jul;17(7):1908–1925. doi: 10.1105/tpc.105.031724

Transcriptional Profile of the Arabidopsis Root Quiescent CenterW⃞

Tal Nawy a,b, Ji-Young Lee a, Juliette Colinas a, Jean Y Wang a, Sumena C Thongrod b, Jocelyn E Malamy c, Kenneth Birnbaum b, Philip N Benfey a,1
PMCID: PMC1167541  PMID: 15937229

Abstract

The self-renewal characteristics of stem cells render them vital engines of development. To better understand the molecular mechanisms that determine the properties of stem cells, transcript profiling was conducted on quiescent center (QC) cells from the Arabidopsis thaliana root meristem. The AGAMOUS-LIKE 42 (AGL42) gene, which encodes a MADS box transcription factor whose expression is enriched in the QC, was used to mark these cells. RNA was isolated from sorted cells, labeled, and hybridized to Affymetrix microarrays. Comparisons with digital in situ expression profiles of surrounding tissues identified a set of genes enriched in the QC. Promoter regions from a subset of transcription factors identified as enriched in the QC conferred expression in the QC. These studies demonstrated that it is possible to successfully isolate and profile a rare cell type in the plant. Mutations in all enriched transcription factor genes including AGL42 exhibited no detectable root phenotype, raising the possibility of a high degree of functional redundancy in the QC.

INTRODUCTION

Stem cells, valued for their medical potential, have long been recognized for their self-renewal properties and lack of differentiated characteristics. These same features also render them vital engines of development; the process of building tissues and organs relies on the availability of a proliferative pool of undifferentiated cells. In animals, organogenesis is largely completed in the embryo, so that adult stem cells are primarily involved in homeostasis, germline maintenance, and repair of damaged tissues. To respond to environmental challenges without the benefit of locomotion, plants have evolved a radically different life strategy in which organogenesis provides morphological changes throughout postembryonic development. Continuous growth is a function of cell divisions in the meristems, which are maintained through the activity of stem cell populations.

In particular, the root meristem is an excellent system in which to study stem cell biology. The root meristem is a largely invariant structure made up of few tissue types that undergo predictable divisions and do not produce lateral structures (Dolan et al., 1993). Primary root tissues are organized in concentric cylinders of epidermis, ground tissue (cortex and endodermis), and stele from outside to in (Figure 1A). These, in turn, are made up of longitudinal cell files that originate from single cells termed initials (Scheres et al., 1994). Initials fulfill the minimal definition of a stem cell by producing two cells in every division: the regenerated initial, and a daughter cell that differentiates progressively upon displacement by further rounds of division. Two terminal tissues, the columella (central) and lateral root cap, are also produced by the activity of initials. Together, initials for all tissue types surround a group of four to seven mitotically less active cells in Arabidopsis thaliana known as the quiescent center (QC).

Figure 1.

Figure 1.

ET433 Enhancer Trap Expression.

(A) Scheme of the Arabidopsis root tip. Tissues are depicted in a median longitudinal section with corresponding initials in lighter color at the base of each cell file. Epidermis (orange), cortex (yellow), endodermis (green), and stele (red) make up most of the root, and lateral (turquoise) and columella (blue) root caps surround the apex. Epidermis and lateral root cap share a common initial, as do endodermis and cortex. Initial cells surround the QC (white).

(B) ET433 staining in a lateral root tip after emergence from the primary root. Pattern is identical in primary root tips at 7 d after germination. Arrowheads indicate QC cells.

Nearly every animal system relies on local signaling to form a stem cell niche, or microenvironment, that promotes stem cell status (reviewed in Spradling et al., 2001; Fuchs et al., 2004). Laser ablation experiments have shown that this is also the case for the plant root and have identified the QC as the source of a signal that inhibits differentiation of the contacting initials (van den Berg et al., 1997). QC cells position the stem cell niche but also behave as stem cells in their own right. Occasional QC divisions are self-renewing and replenish initials that have been displaced from their position (Kidner et al., 2000).

Little is known about the molecular mechanisms that determine the properties of the QC or initial cells. Stem cell fate has been correlated with the position of a local maximum of auxin phytohormone perception in the QC and columella root cap initials (Sabatini et al., 1999). Auxin signaling is necessary for QC initiation in the embryo (Hardtke and Berleth, 1998; Hamann et al., 2002) and may direct expression of the PLETHORA1 (PLT1) and PLT2 transcription factors, which function redundantly in specifying QC fate (Aida et al., 2004). The SCARECROW (SCR) and SHORT-ROOT (SHR) transcriptional regulators were initially isolated for their role in radial patterning (Benfey et al., 1993) but are also required for QC function (Sabatini et al., 2003). In plt1 plt2 as well as in scr and shr mutants, some QC markers are not expressed and the root meristem progressively loses its ability to undergo cell divisions (Sabatini et al., 2003; Aida et al., 2004). Recently, ectopic expression of CLAVATA3 (CLV3) and related putative ligands suggested the existence of a CLV signaling pathway involved in regulating cell divisions in the root meristem (Casamitjana-Martinez et al., 2003; Hobe et al., 2003). CLV3 signaling through the CLV1 receptor kinase defines an autoregulatory loop in the shoot meristem that maintains the size of the stem cell population (Fletcher et al., 1999; Jeong et al., 1999; Trotochaud et al., 1999).

Most of what is known about stem cell function involves regulation either by transcription factors (SCR, SHR, or PLT) or signal transduction pathways that produce transcriptional changes (auxin and possibly a CLV pathway). Thus, at least some of the differences between these cells and their differentiating offspring must occur at the level of gene expression. Fundamental questions remain regarding what transcriptional features distinguish the QC and to what extent stem cells in root and shoot share molecular machinery.

Here, we define a set of genes enriched in the QC. To produce this gene set, we first generated a QC-enriched marker based on cis regulatory sequences of the MADS box transcription factor AGAMOUS-LIKE 42 (AGL42). Using a cell-sorting strategy, we obtained the transcriptional profile of the QC and compared it against a high-resolution spatial map, or digital in situ, of gene expression in the root (Birnbaum et al., 2003). This analysis provides a broad picture of which genes contribute to QC activity and maintenance and forms the basis for a reverse genetic screen aimed at assigning roles for these factors. Our finding that none of the transcription factors surveyed, including AGL42 and several floral regulators, gave rise to root phenotypes when mutated argues for a significant degree of redundancy among transcriptional regulators in the QC. We describe the use of the root digital in situ in combination with phylogenetic information as a strategy to narrow the focus of multiple mutant combinations in reverse genetic analysis.

RESULTS AND DISCUSSION

Expression of the AGL42 MADS Box Gene Marks the QC

To initiate a reverse genetic characterization of the root stem cell niche, we screened an enhancer trap library carrying the β-glucuronidase (GUS) reporter driven by a minimal promoter (Malamy and Benfey, 1997). One line, ET433, showed striking expression in the QC cells, with much weaker expression in cells proximal to the QC (Figure 1B). Flanking sequences isolated from the tagged locus revealed that ET433 was inserted in the first intron of the MADS box gene AGL42 (Figure 2A).

Figure 2.

Figure 2.

AGL42 cis Elements Mark the QC for Cell Sorting.

(A) AGL42 genomic region (top), indicating exons (closed boxes) with corresponding protein-coding domains above, 5′ and 3′ UTRs (open boxes), and ET433 enhancer trap insertion site and orientation in the first intron. Promoter (construct I), partial first intron (construct II), and promoter plus intron (construct III) fusions to GFP are indicated with corresponding lengths of promoter and intron sequence. Note that terminator sequences (light green) were not derived from AGL42. MADS, MADS DNA binding domain; I, intervening region; K, K domain; C, C-terminal domain; TL, signal sequence for endoplasmic reticulum; block arrow, −46 minimal promoter from Cauliflower mosaic virus 35S promoter used in ET433.

(B) Overlay of GFP (green) and propidium iodide (red) channels of construct III imaged at 4 d after germination. The inset shows the GFP channel only.

(C) Same as (B) at 7 d after germination.

(D) Fluorescence-activated cell sorter acquisition dot plots. Each dot corresponds to a single sorting event, and only cells with a high ratio of green to orange fluorescence (within the trapezoidal R4 gate) are collected. Background protoplasts show nearly equivalent levels of orange and green autofluorescence.

We were interested in using the AGL42 expression pattern as a vital marker of QC identity. To this end, we created a series of transgenes bearing presumptive cis element–containing sequences of AGL42 fused to green fluorescent protein (GFP) (Figure 2A). Neither the promoter with the 5′ untranslated region (UTR) nor a fragment of the first intron upstream of the ET433 insertion site conferred expression detectable with confocal laser scanning microscopy. In combination, however, the promoter, 5′ UTR, first exon, and complete first intron (referred to as AGL42:GFP) recapitulated the enhancer trap pattern (Figure 2B), reminiscent of the regulation of AGAMOUS by cis elements within its large second intron (Sieburth and Meyerowitz, 1997; Deyholos and Sieburth, 2000).

Isolation of the AGL42:GFP Marked Population

Acquiring a snapshot of transcription for a specific tissue requires that it be isolated from the rest of the organism. Large QCs such as those found in the maize root are amenable to microdissection, but this approach would be extremely challenging given the four- to seven-cell size of the Arabidopsis QC. As an alternative, Birnbaum et al. (2003) developed a method whereby roots possessing a subpopulation of fluorescing cells can be protoplasted and sorted without significantly disturbing their transcriptional status. Using this technique, we were able to sort AGL42:GFP-positive cells, then extract, label, and amplify their RNA. Plants were harvested at 4 d after germination, when expression was most tightly restricted to the QC (Figures 2B and 2C). However, a small fraction of the roots also exhibited weak expression in stele and ground tissue initials at this stage.

The low number of cells marked by AGL42 expression poses a unique challenge for sorting, because even a small proportion of incorrectly sorted cells can skew the RNA pool. We limited the possibility of collecting autofluorescent background cells by using a very conservative fluorescence gate (Figure 2D). Wild-type roots with no GFP expression sorted using similar parameters collected <10% of the number of positive cells in the AGL42 sort (data not shown). In addition, only tips were harvested from the seedling roots to reduce the proportion of nonfluorescing cells. After hybridization to Affymetrix ATH1 microarrays, we obtained two clean replicates, the transcriptional profile of which had a correlation coefficient of 0.90.

Comparison with Other Root Tissues Defines a Set of QC-Enriched Transcripts

Previously, we had obtained global expression profiles for stele, ground tissue, atrichoblasts (epidermal cells lacking root hairs), and lateral root cap (Birnbaum et al., 2003). To identify the set of genes specifically enriched in the QC, it was necessary to compare AGL42:GFP with all surrounding tissues. However, a critical tissue, the columella root cap, was not represented in the data set. As a first step, we expanded the spatial expression map to include columella root cap by sorting seedlings expressing the PET111 enhancer trap (see Supplemental Figure 1 online). This reporter marks all columella cells except for the initials.

Next, we performed a linear mixed-model analysis of variance on the microarray data using SAS statistical software (Cary, NC). This strategy disregards mismatch probe data that can artificially dampen signal while removing technical noise, modeled on the Affymetrix GeneChip platform (Wolfinger et al., 2001; Chu et al., 2002). The analysis yielded p values for pairwise comparisons of AGL42:GFP against each of the other cell populations on a per-gene basis. These were converted to q values representing the false-discovery rate parameter to correct for multiplicity of testing (Storey and Tibshirani, 2003). Expression means and the pairwise comparison results with p and q values for ∼22,000 genes are available in Supplemental Tables 2 and 3 online.

To determine enrichment, we applied a rigid q value cutoff corresponding to less than one predicted false positive (q < 0.0001 for all except columella, which is q < 0.001) and required a fold change of at least 1.5 for every pairwise comparison. Output was filtered further to remove sucrose and protoplasting effects (see Methods and Supplemental Table 1 online), resulting in a final set of 290 QC-enriched transcripts (Tables 1 and 2). No transcripts were significantly depleted in AGL42-expressing cells using these criteria.

Table 1.

Number of Enriched Genes by Category

Category No. Enriched
Hormone-related
    Auxin 5
    Gibberellic acid 3
    Brassinosteroid 1
Receptor-like kinases 16
Phosphatidylinositol and Ca2+ signaling 5
Transcriptional regulators 37
General transcription 11
Protein turnover 12
RNA silencing 4
Cell division 2
DNA replication and repair 10
Cell wall 8
Cytoskeleton 7
Transporter, carrier, or channel 15
Disease resistance 4
Metabolism/enzymatic activity 63
Other 25
Unknown 62
Total 290

Table 2.

All Enriched Transcripts by Category

AGI No.a Description Gene Name(s) Meanb Ratioc
Auxin
    At2g20610 Tyr aminotransferase SUPERROOT1 (SUR1); RTY/ALF1 8.7 5.5
    At4g31500 Cytochrome P450 monooxygenase SUPERROOT2 (SUR2); CYP83B1 31.9 18.0
    At3g62100 Aux/IAA family transcriptional repressor IAA30 4.8 5.5
    At2g21050 AAAP (amino acid/auxin permease); AUX1 family 10.9 7.4
    At1g73590 Auxin efflux carrier PIN-FORMED1 (AtPIN1) 5.6 5.1
Gibberellin
    At4g02780 ent-Kaurene synthetase A GA-DEFICIENT1 (GA1) 2.0 3.0
    At5g25900 Cytochrome P450 ent-kaurene oxidase GA-DEFICIENT3 (GA3); CYP701A3 11.1 5.9
    At2g32440 Cytochrome P450 ent-kaurene oxidase CYP88A 2.6 2.8
Brassinosteroid
    At1g55610 LRR X receptor-like kinase BRI1-LIKE (BRL1) 1.4 2.8
Receptor-like kinases
    At4g21400 DUF26 receptor-like kinase 1.9 2.2
    At4g21410 DUF26 receptor-like kinase 2.4 2.9
    At3g58690 Extensin 2.4 2.0
    At3g53380 Lectin receptor-like kinase 2.5 3.2
    At1g34210 LRR II 1.9 2.2
    At5g45780 LRR II 1.6 2.2
    At5g67200 LRR III 2.2 2.4
    At5g51560 LRR IV 2.6 2.2
    At2g45340 LRR IV 4.7 6.5
    At1g11140 LRR V 2.4 2.4
    At1g53440 LRR VIII-2; S-domain (type 1) 1.5 2.0
    At5g48940 LRR XI 5.4 3.2
    At5g13290 Receptor-like kinase 1.7 2.3
    At5g39790 Pro-rich receptor-like kinase 1.4 2.0
    At5g56790 Pro-rich receptor-like kinase 10.4 6.8
    At5g15080 RLCK VII 1.8 1.9
Phosphatidylinositol and Ca2+ signaling
    At5g63980 3′(2′),5′-bisphosphate nucleotidase; PI signaling FIERY1 (FRY1); AtSAL1 10.0 2.8
    At5g10170 Inositol-3-phosphate synthase 3.9 4.9
    At4g05520 Calcium ion binding EF hand 1.8 2.0
    At3g56690 Calmodulin binding protein 2.0 1.8
    At1g72670 Calmodulin binding protein 1.6 1.9
Transcriptional regulation
    At1g25470 AP2 1.6 1.7
    At1g72360 AP2 2.5 3.1
    At2g41710 AP2 2.0 1.9
    At3g20840 AP2 PLETHORA1 (PLT1) 6.3 5.7
    At5g17430 AP2 5.0 5.9
    At1g35460 bHLH AtbHLH80 3.2 2.8
    At2g27230 bHLH 5.2 3.4
    At3g19500 bHLH AtbHLH113 2.8 2.7
    At1g12860 bHLH with F-box AtbHLH33 3.4 4.5
    At1g21740 bZIP 1.8 1.6
    At1g68640 bZIP PERIANTHIA (PAN); AtbZIP46 4.1 5.6
    At3g60630 GRAS SCL6 3.9 1.9
    At2g01430 HD-Zip AtHB-17 1.8 2.7
    At5g20240 MADS box (type II) PISTILLATA (PI) 4.1 7.3
    At5g47390 Myb 2.7 1.8
    At5g11510 Myb (R2R3) AtMYB3R4 1.6 1.7
    At5g17800 Myb (R2R3) AtMYB56 6.1 6.4
    At5g60890 Myb (receptor-like kinase); Trp biosynthetic pathway ALTERED TRYPTOPHAN REGULATION (ATR1); AtMYB34 9.2 12.1
    At5g44190 Myb; GARP 1.3 1.8
    At1g69490 NAC NAC-LIKE; ACTIVATED BY AP3/PI (NAP) 8.6 6.3
    At3g13000 NAC 1.5 2.0
    At2g13840 Putative DNA binding 1.7 1.8
    At4g22770 Putative DNA binding 1.9 2.1
    At5g48090 Putative DNA binding 1.2 1.6
    At5g51590 Putative DNA binding 3.0 1.8
    At5g54930 Putative DNA binding 1.8 1.9
    At1g14410 Putative DNA binding; p24-related 2.6 1.8
    At5g51910 TCP 2.8 2.8
    At1g16070 TUBBY ATLP8 1.6 2.6
    At1g76900 TUBBY (F-box) ATLP1 4.3 2.5
    At5g48250 Zn finger (C2C2) CO-like B-box COL10 1.6 1.8
    At3g50870 Zn finger (C2C2) GATA HANABA TARANU (HAN) 1.8 2.7
    At5g03150 Zn finger (C2H2) 2.4 2.9
    At3g20880 Zn finger (C2H2) 8.2 8.3
    At2g38970 Zn finger (C3HC4 RING) 4.1 4.1
    At5g40320 Zn finger (CHP-rich) 1.8 2.0
    At3g22780 Zn finger (CPP1-related) TSO1 3.2 1.8
Transcription (general)
    At1g29940 DNA-directed RNA polymerase subunit 4.8 2.2
    At5g45140 DNA-directed RNA polymerase subunit 2.5 2.1
    At1g60620 RNA polymerase subunit (isoform B) 1.7 1.6
    At3g02980 GCN5-related histone N-acetyltransferase (GNAT) family 1.6 1.7
    At5g35330 Methyl binding domain protein MBD2 2.3 1.8
    At4g23800 Nucleosome/chromatin assembly factor (HMG homolog) NFD6 5.3 2.9
    At3g03790 Regulator of Chromosome Condensation (RCC1) family 2.5 2.0
    At5g43990 SET-domain histone methyltransferase SDG18; SET18; SUVR2 1.9 1.9
    At2g18850 SET-domain histone methyltransferase 1.6 1.6
    At2g17900 SET-domain histone methyltransferase ASHR1; SET37 1.6 1.7
    At5g44560 SNF7 family 3.9 2.8
Protein turnover
    At3g23880 F-box A3 subfamily protein 2.0 2.6
    At1g47340 F-box A5 subfamily protein 1.4 1.7
    At3g58530 F-box B1 subfamily protein 2.1 2.0
    At3g03360 F-box B5 subfamily protein 2.1 2.0
    At1g06630 F-box B7 subfamily protein 3.1 2.8
    At4g05460 F-box C5 subfamily protein AtFBL20 2.2 1.8
    At1g30090 F-box D subfamily protein 1.5 1.8
    At1g68050 F-box E subfamily protein with PAS and Kelch repeats FKF1 3.8 3.7
    At5g56380 F-box family protein 1.4 1.7
    At3g51530 F-box family protein 1.8 2.1
    At1g47570 Ubiquitin ligase complex; zinc finger (C3HC4 RING) 2.2 1.9
    At5g65450 Ubiquitin C-terminal hydrolase-like 1.5 1.7
RNA silencing
    At2g27040 AGO1-related protein ARGONAUTE4 (AGO4) 5.7 2.8
    At5g43810 AGO1-related protein PINHEAD (PNH)/ZLL/AGO10 4.9 5.5
    At3g03300 DEAD/DEAH box helicase DICER-LIKE2 (DCL2) 2.1 2.3
    At2g19930 RNA-dependent RNA polymerase 1.3 1.6
Cell division
    At5g67260 Cyclin CYCD3;2 4.9 2.5
    At4g02060 DNA replication licensing factor PROLIFERA (PRL1) 2.9 2.1
DNA replication and repair
    At5g41880 DNA polymerase α subunit (primase) activity 2.4 1.9
    At4g24790 DNA polymerase III–like γ subunit 1.5 1.9
    At2g41460 DNA (apurinic or apyrimidinic site) lyase (ARP) 2.0 2.1
    At1g19485 HhH-GPD superfamily base excision DNA repair protein 1.8 2.0
    At3g22880 Meiotic recombination protein AtDMC1 2.3 2.6
    At3g24320 MutS family; mitochondrial recombination CHLOROPLAST MUTATOR (CHM) 1.4 1.9
    At4g02390 Poly(ADP-ribose) polymerase (PARP) APP 1.6 1.9
    At2g31320 Poly(ADP-ribose) polymerase (PARP) 2.0 1.8
    At3g14890 PARP, DNA ligase zinc finger (nick sensor) 2.0 2.0
    At1g21710 Purine-specific base lesion DNA N-glycosylase 2.6 1.9
Cell wall
    At2g31960 Callose synthase gene AtGSL3 2.6 2.5
    At2g35650 Cellulose-synthase–like gene CslA7 2.6 2.0
    At4g31590 Cellulose-synthase–like gene CslC5 3.2 2.6
    At2g28950 Expansin EXP6 1.9 2.5
    At3g15720 Polygalacturonase (predicted GPI-anchored) 2.4 4.1
    At3g53190 Pectate and pectin lyase 5.6 4.0
    At2g26440 Pectin methyl esterase 4.6 7.3
    At4g03210 Xyloglucan endotransglucosylase/hydrolase XTH9 4.6 5.4
Cytoskeleton
    At5g42480 DNAJ plastid division protein (ARC6-like) 2.7 2.3
    At5g48360 Formin homology-2 (FH2) domain protein 3.3 3.4
    At5g55000 Formin homology (FH) binding protein FIP2 2.5 2.1
    At5g60210 Expressed protein slow myosin heavy chain 2 4.7 3.3
    At4g33200 Myosin AtXI-I 1.9 1.7
    At1g63640 Kinesin 2.3 1.7
    At5g60930 Kinesin 1.9 2.2
Transporter, carrier, or channel
    At2g28070 ABC (ATP binding cassette) transporter WBC3 3.4 2.2
    At2g26900 Bile acid:Na+ symporter AtSbf1 4.6 2.4
    At5g36940 Cationic amino acid transporter–like 2.0 1.7
    At5g53130 Cyclic nucleotide/voltage-regulated cation channel 2.5 2.3
    At5g57100 Drug/metabolite transporter superfamily 3.7 3.0
    At3g05290 Mitochondrial carrier PHT2 3.0 2.2
    At5g01500 Mitochondrial carrier 4.6 2.6
    At5g09690 Mitochondrial mRNA splicing-2 protein; Mg transporter 2.6 3.0
    At1g33110 Multiantimicrobial extrusion family (MATE) transporter 3.4 4.0
    At3g17650 Oligopeptide transporter OPT 2.1 1.9
    At3g47950 Plasma membrane H+-ATPase AHA4 1.1 1.6
    At1g59740 Proton-dependent oligopeptide transporter MRS2 5.7 7.3
    At2g26180 SF sugar porter 3.3 2.6
    At2g16990 Tetracycline transporter–like 1.6 2.2
    At4g33670 Voltage-gated K+ channel β subunit 3.4 2.2
Disease resistance
    At1g58410 CNL (CC-NBS-LRR) class protein 1.8 2.4
    At1g72840 TNL (TIR-NBS-LRR) class protein 3.7 3.9
    At1g72850 TN (TIR-NBS) class putative disease resistance protein 4.9 6.0
    At4g09940 Avirulence-induced gene (AIG1) family 2.1 3.9
Metabolism/enzyme
    At1g62960 1-Aminocyclopropane-1-carboxylate (1-ACC) synthase ACS10 1.7 1.9
    At1g20490 4-Coumarate:CoA ligase 1 (4-coumaroyl-CoA synthase 1) 4CL1 4.8 4.1
    At4g39940 Adenosine-5-phosphosulfate-kinase 10.8 8.9
    At5g08380 α-Galactosidase 2.8 3.0
    At1g55510 α-Galactosidase 1.8 2.0
    At5g09300 α-Ketoacid decarboxylase E1 subunit 11.6 5.8
    At3g55850 Amidohydrolase LONG AFTER FAR-RED3 (LAF3) 1.8 1.8
    At3g47040 β-d-Glucan exohydrolase 2.3 3.1
    At4g09510 β-Fructofuranosidase 1.9 1.7
    At5g57850 Branched-chain amino acid aminotransferase 1.6 1.7
    At1g50110 Branched-chain amino acid aminotransferase 2.6 1.9
    At1g53520 Chalcone-flavanone isomerase-related 1.6 2.0
    At1g69370 Chorismate mutase (Phe biosynthesis) CM3 1.8 1.6
    At3g57470 Cys-type endopeptidase activity 1.7 2.2
    At2g46650 Cytochrome b5 5.6 7.4
    At4g15920 Cytochrome c oxidoreductase 3.1 3.6
    At4g12300 Cytochrome P450; flavonoid 3′,5′-hydroxylase CYP706A 2.5 3.2
    At4g39950 Cytochrome P450; N-hydroxylase for Trp CYP79B 29.6 15.7
    At1g72040 Deoxyguanosine kinase 3.6 2.5
    At3g23570 Dienelactone hydrolase 11.6 9.3
    At1g48430 Dihydroxyacetone kinase 1.4 2.0
    At1g12130 Flavin-containing monooxygenase 1.4 2.2
    At1g49390 Flavonol synthase 2.1 2.8
    At4g37550 Formamidase 1.7 2.7
    At1g66250 Glucan endo-1,3-β-glucosidase 3.3 2.7
    At4g29360 Glucan endo-1,3-β-glucosidase 2.7 3.1
    At5g56590 Glucan endo-1,3-β-glucosidase 1.8 1.8
    At5g27380 Glutathione synthetase GSH2 7.8 3.2
    At1g11820 Glycoside hydrolase family 17 2.2 1.9
    At1g30530 Glycosyl transferase 1.1 2.1
    At3g21750 Glycosyl transferase 4.2 5.7
    At5g54690 Glycosyl transferase 1.6 2.0
    At3g07270 GTP cyclohydrolase 1 4.5 2.0
    At1g79790 Haloacid dehalogenase-like hydrolase family 1.6 1.7
    At3g25470 Hemolysin 5.0 2.4
    At2g18950 Homogentisate phytylprenyltransferase family protein 2.5 3.2
    At3g16260 Hydrolase 1.6 1.7
    At3g48410 Hydrolase 5.4 4.3
    At2g04400 Indole-3-glycerol phosphate synthase 10.2 4.7
    At3g14360 Lipid acylhydrolase–like 2.1 2.0
    At3g53450 Lys decarboxylase 2.1 3.0
    At1g13270 Met aminopeptidase 2.0 2.6
    At5g55130 Molybdenum cofactor synthesis protein 3 4.7 2.2
    At1g32160 Obtusifoliol 14-α-demethylase 1.5 1.7
    At2g39220 Patatin-like acyl hydrolase 2.2 3.2
    At5g13640 Phosphatidylcholine-sterol O-acyltransferase 2.6 2.1
    At1g48600 Phosphoethanolamine N-methyltransferase 13.9 5.6
    At1g74720 Phosphoribosylanthranilate transferase 1.7 2.2
    At1g16220 Protein phosphatase 2C 1.7 2.3
    At5g51140 Pseudouridylate synthase activity 3.1 2.1
    At2g40760 Rhodanese-like protein 2.3 2.0
    At3g23580 Ribonucleoside-diphosphate reductase 6.8 4.2
    At2g17640 Ser acetyltransferase 2.6 3.6
    At1g43710 Ser decarboxylase 9.0 2.0
    At4g11640 Ser racemase; Thr dehydratase 1.7 1.9
    At1g70560 Similar to aliinase 11.6 7.9
    At5g51970 Sorbitol dehydrogenase 4.9 2.6
    At3g14240 Subtilisin-like Ser protease 6.0 4.8
    At5g05980 Tetrahydrofolylpolyglutamate synthase 3.6 1.9
    At3g06730 Thioredoxin 1.6 2.0
    At2g41680 Thioredoxin reductase, putative 1.9 2.4
    At3g02660 Tyrosyl-tRNA synthetase 1.7 1.8
    At5g40870 Uridine kinase 3.7 3.0
Other
    At1g60860 ARF GTPase-activating (GAP) protein 2.6 2.3
    At4g03100 Rac GTPase-activating (GAP) protein 1.4 1.7
    At2g23460 Extra-large GTP binding protein XLG1 2.7 1.9
    At3g53800 Armadillo/β-catenin repeat family 2.0 2.2
    At4g33400 Defective embryo and meristems (DEM)–like 3.6 2.4
    At1g72070 DNAJ chaperone 1.4 1.9
    At5g16650 DNAJ chaperone 2.7 2.3
    At1g53140 Dynamin 2.9 2.0
    At3g60190 Dynamin ADL4 1.8 2.1
    At3g19720 Dynamin 2.4 1.6
    At1g29980 GPI-anchored protein 14.3 9.8
    At1g21880 GPI-anchored protein 5.6 2.7
    At2g36730 Pentatricopeptide (PPR) protein 1.2 1.7
    At2g23050 Phototropic-responsive NPH3 family; phosphorelay 12.6 10.7
    At5g46420 16S rRNA processing protein 2.0 1.8
    At2g47250 RNA helicase 3.8 2.1
    At3g26120 RNA binding protein 1.8 2.2
    At5g23690 Poly A polymerase–like 1.6 1.8
    At1g35610 Putative electron transport activity 1.7 2.2
    At1g50240 Armadillo/β-catenin repeat family 2.5 2.0
    At2g19430 Transducin/WD-40 repeat family 2.5 1.6
    At5g15550 Transducin/WD-40 repeat family 5.3 2.3
    At4g37110 tRNA aminacylation; protein translation 1.6 2.2
    At3g46210 tRNA nucleotidyl transferase; protein translation 2.3 2.0
    At1g13030 tRNA splicing 2.4 2.0
Unknown
    At1g08020 Unknown 1.5 2.2
    At1g09450 Unknown 1.4 1.9
    At1g09980 Unknown 5.5 3.3
    At1g17650 Unknown 1.4 1.7
    At1g21560 Unknown 1.9 2.1
    At1g23370 Unknown 1.3 2.0
    At1g29270 Unknown 4.6 8.0
    At1g35612 Unknown 5.1 7.3
    At1g48460 Unknown 2.3 2.1
    At1g53460 Unknown 3.9 2.8
    At1g61065 Unknown 1.8 1.6
    At1g63260 Unknown 3.3 3.4
    At1g67660 Unknown 1.5 1.8
    At1g68080 Unknown 1.4 1.9
    At1g68220 Unknown 3.6 2.2
    At1g68820 Unknown 2.9 2.8
    At2g03280 Unknown 1.1 1.8
    At2g03780 Unknown 1.8 1.8
    At2g25270 Unknown 2.3 2.2
    At2g26200 Unknown 1.9 1.7
    At2g32590 Unknown 2.2 2.2
    At2g38370 Unknown 5.1 6.5
    At2g39070 Unknown 1.9 1.7
    At2g45830 Unknown 3.4 3.7
    At3g01810 Unknown 5.2 3.4
    At3g09000 Unknown 1.8 1.7
    At3g15351 Unknown 2.7 2.2
    At3g17680 Unknown 2.8 2.4
    At3g22970 Unknown 4.3 2.8
    At3g26750 Unknown 1.4 1.9
    At3g29185 Unknown 1.4 1.9
    At3g43240 Unknown 3.9 2.4
    At3g43540 Unknown 1.4 2.0
    At3g50190 Unknown 1.3 2.1
    At3g50620 Unknown 1.7 2.0
    At3g51290 Unknown 1.5 2.3
    At3g53540 Unknown 1.7 2.3
    At3g63090 Unknown 2.2 2.4
    At4g02790 Unknown 1.7 2.1
    At4g13140 Unknown 1.7 1.9
    At4g16620 Unknown 1.5 1.9
    At4g18570 Unknown 3.9 3.3
    At4g19400 Unknown 3.3 2.4
    At4g22890 Unknown 1.9 2.0
    At4g24750 Unknown 2.3 2.0
    At4g25170 Unknown 1.9 2.8
    At4g35910 Unknown 2.7 2.2
    At5g02010 Unknown 2.3 2.6
    At5g12080 Unknown 5.7 3.9
    At5g15170 Unknown 1.7 1.9
    At5g23780 Unknown 1.3 2.2
    At5g27400 Unknown 3.5 2.5
    At5g29771 Unknown 3.9 2.0
    At5g37010 Unknown 1.8 1.8
    At5g41620 Unknown 4.6 6.2
    At5g44650 Unknown 1.5 2.1
    At5g47440 Unknown 6.6 9.1
    At5g48960 Unknown 1.6 1.8
    At5g51850 Unknown 2.1 4.4
    At5g63040 Unknown 1.3 1.7
    At5g65685 Unknown 2.1 1.8
    At5g66180 Unknown 2.5 2.3
a

Arabidopsis Genome Initiative number.

b

Mean normalized expression of AGL42IV:GFP sort.

c

Average ratio of AGL42IV:GFP sort to five other root tissue sorts.

Several genes with known QC expression were found in the QC-enriched gene set, validating our approach (Figure 3A). The PLT1 and PLT2 genes were recently shown to play a key role in QC establishment and maintenance, and PLT1 expression is tightly restricted to the QC region (Aida et al., 2004). Genes expressed in QC plus other tissues, such as PIN-FORMED4 (AtPIN4), SCARECROW (SCR), PHABULOSA, and HOMEOBOX-LIKE8 (AtHB-8), were only enriched significantly over those tissues that lacked expression, confirming the accuracy of this method. AGL42 itself was not enriched over stele, presumably because of its low-level expression in the initials. By contrast, genes expressed ubiquitously in the meristem, such as AUX1, were not enriched significantly in the QC over any other tissue. These results strongly suggest that the transcriptional content of the QC is represented in the AGL42:GFP profile. Some genes with robust stele expression, such as WOODEN LEG and SHORT-ROOT (SHR), appeared with relatively high expression in the AGL42:GFP data, but, with the exception of AtPIN1, none was enriched significantly in the AGL42 sorted population over other tissues. This provides further evidence that a small fraction of the sorted cells were derived from stele cells proximal to the QC and likely explains why some factors involved in cell division, such as genes for cell expansion, nucleotide and amino acid biosynthesis, and DNA polymerase subunits, were enriched in the sort data. A potential G1-associated cyclin, CYCD3:2 (Vandepoele et al., 2002), was enriched, in addition to the DNA replication licensing factor PROLIFERA that is present in dividing cells (Springer et al., 1995, 2000).

Figure 3.

Figure 3.

Verification of the AGL42:GFP Transcriptional Profile.

(A) Digital in situ of genes with known QC expression. Normalized expression values are shown for the QC (blue) and other root tissues. Expression in the QC is either significantly enriched over other tissues (red) or not (yellow). CRC, columella root cap; LRC, lateral root cap. See text for gene abbreviations.

(B) Expression of a GFP fusion to the promoter of C2H2 basic domain/leucine zipper transcription factor AtWIP4 (At3g20880), predicted to be enriched in the QC. Note the strongest expression in the QC.

Promoters of QC-Enriched Genes Confer QC-Specific Expression

As a further test of the data and of our statistical approach, we cloned the promoters of seven putative transcription factors predicted to be enriched in the QC. We fused them to GFP and introduced the constructs into plants. Three of these lines exhibited expression in the QC as well as weaker expression in either stele and ground tissue or columella root cap (Figures 3B and 4A to 4C). One promoter region conferred expression in the columella initials (not represented in the PET111 sort) and the QC (Figure 4D). A fifth was found predominantly in the stele, and two did not give any expression. Together, these results support the validity of the QC transcriptional profile and the comparative approach for determining statistically significant enrichment.

Figure 4.

Figure 4.

Expression of Floral Regulators in the QC.

(A) and (B) NAP promoter fusion to GFP exhibits some stele expression and enrichment in the QC.

(C) PI promoter fusion to GFP has highest levels in the QC and young ground tissue.

(D) PAN promoter fusion to GFP has highest expression in the columella initials and QC.

Phytohormone-Related Features of the QC-Enriched Transcript Pool

Among the enriched genes, we detected several themes, including several indications that phytohormones play important roles in stem cell processes (Tables 1 and 2). Auxin signaling has been implicated in the maintenance of an apical-basal axis and is required for the production of distal cell types that make up the embryonic root (Hardtke and Berleth, 1998; Hamann et al., 2002). A local auxin maximum in the postembryonic QC and columella initials has also been correlated with distal patterning and QC fate (Sabatini et al., 1999). An auxin sink near the same location ensures that the maximum is maintained at a specific size (Friml et al., 2002). We detected two enriched transcripts, SUPERROOT1 (SUR1) and SUR2, which function as negative regulators of auxin biosynthesis (Boerjan et al., 1995; Barlier et al., 2000), suggesting that active inhibition of biosynthesis may be a mechanism for limiting auxin levels in parts of the root meristem.

In the presence of transported auxin, bioactive gibberellin (GA) has been shown to promote wild-type root growth by affecting cell expansion (Olszewski et al., 2002; Fu and Harberd, 2003). We identified ent-kaurene oxidases involved in the early steps of GA biosynthesis and confirmed QC enrichment of ent-kaurene synthetase A (GA1), previously shown to be expressed in the root tip (Silverstone et al., 1997). Localization of these enzymes in proximity to the auxin peak is consistent with the finding that GA biosynthesis is upregulated by auxin (Ross et al., 2000). These findings suggest the existence of a GA point source that is centered at the QC.

Brassinosteroids have been correlated with root growth through the analysis of biosynthetic and signaling mutants as well as exogenous hormone application (Mussig et al., 2003). We detected BRASSINOSTEROID INSENSITIVE1-LIKE1 (BRL1), which has previously been shown by GUS reporter analysis to exhibit high levels in the QC as well as in the columella root cap and mature stele (Cano-Delgado et al., 2004). BRL1 was assigned a role in promoting xylem differentiation at the expense of phloem, but effects on meristem function or root growth have not been documented.

Absence of Phenotype in QC-Enriched Transcription Factor Mutants

To fulfill its critical function in the root meristem, the QC must be resistant to differentiation and able to undergo regenerative divisions to replace initials that have expired. It must also signal locally to inhibit the differentiation of surrounding cells (van den Berg et al., 1997), yet we do not have a good understanding of the underlying molecular mechanisms that specify these properties. We reasoned that regulatory genes enriched in the QC might reveal roles in these processes when mutated. Therefore, we recovered and analyzed mutants for several transcription factors (Table 3).

Table 3.

Mutations Analyzed for QC-Enriched Transcription Factors

Arabidopsis Genome Initiative No. Class Gene Name Allele(s) Position(s)
At1g21740 bZIP SALK_100864 Exon 1
At1g25470 AP2 SALK_059502 Exon 1
At1g68640 bZIP PERIANTHIA(PAN) SALK_057190 Exon 3
At1g69490 NAC NAM-LIKE;ACTIVATED BY AP3/PI(NAP) SALK_005010 Exon 2
At2g28550 AP2 RAP2.7 SALK_069677 Exon 6
At2g41710 AP2 SALK_111105, SALK_151761 Exon 6, intron 2
At3g20880 Zinc finger (C2H2) AtWIP4 SALK_014672 Exon 1
At5g11510 Myb (R2R3) AtMYB3R4 SALK_034806, SALK_059819 5′ UTR, exon 1
At5g17800 Myb (R2R3) AtMYB56 SAIL_587_D06, SALK_062413 Exon 1, exon 2
At5g20240 MADS PISTILLATA(PI) pi-1
At5g28770 bZIP AtbZIP63 SALK_006531 Exon 1

To ensure that subtle phenotypes were not overlooked, one or two independent mutations in each gene were brought to homozygosity and assessed for differences in root growth on plates and for anatomical defects by confocal laser scanning microscopy. Three of the genes had previously characterized roles in the flower. PERIANTHIA (PAN) functions in regulating floral organ number (Running and Meyerowitz, 1996; Chuang and Meyerowitz, 2000). PISTILLATA (PI) is a floral homeotic MADS box gene that is required for the specification of petals and stamens (Bowman et al., 1989). In the flower, PI heterodimerizes with APETALA3 (AP3) to activate downstream targets, including NAC-LIKE;ACTIVATED BY AP3 (NAP). NAP is required for correct cell expansion in the petals and stamens (Sablowski and Meyerowitz, 1998). Interestingly, although both PI and its target were detected in the QC, the digital in situ of AP3 suggested that it is entirely absent from the root.

None of the mutations in this study gave a root phenotype under the conditions we tested. Therefore, we narrowed our analysis to a single gene, AGL42, to attempt some alternative approaches to determining gene function.

Manipulation of AGL42 Does Not Reveal a Role in the Root Meristem

To confirm the expression pattern of AGL42, we engineered a new marker that included the complete upstream intergenic sequence as well as mutated start codons (ATGs) in the MADS box (Figure 5A). These changes resulted in more specific but weaker expression in the QC using the GUS marker gene (Figure 5B). The lower level of expression was apparently insufficient to drive a nonenzymatic reporter, as the same regulatory sequences did not give rise to any fluorescence when fused to GFP (data not shown).

Figure 5.

Figure 5.

Mutant Analysis and Expression of AGL42.

(A) Genomic region of AGL42, indicating positions of insertions (wedges) and point mutations (asterisks) for corresponding allele numbers. agl42-4 is a splice acceptor mutation for the third exon, and agl42-5 gives rise to a G113R substitution in the fourth exon. Below is a scheme of the complete promoter and intron, with exon 1 bearing mutated ATGs (small asterisks) driving the GUS reporter (construct IV).

(B) Whole-mount staining of construct IV at 7 d after germination showing tight QC expression.

(C) Real-time quantitative RT-PCR of AGL42 transcript in whole roots as ratios relative to wild-type Columbia (Col) root. RNAi, RNA interference; Ws, Wassilewskija.

Both the ET433 enhancer trap (agl42-1) and an independent insertion in the first intron (agl42-2) (Sussman et al., 2000) resulted in a reduction of mature AGL42 root RNA by one order of magnitude (Figure 5C). In addition to these, a series of insertion and point mutations (Figure 5A) were isolated and RNA interference was attempted (Figure 5C). No changes were detected in root anatomy in any of these or in the expression of the QC markers SCR:GFP (Wysocka-Diller et al., 2000) and AGL42:GFP in an agl42-1 background or of QC-46 (Sabatini et al., 1999) in an agl42-2 background (data not shown). Also, agl42-1 did not enhance the phenotypes of the scr-4 or shr-2 mutants, both of which have disorganized QCs and compromised meristems (data not shown).

Because AGL42 is a member of a large family of transcriptional regulators, one explanation for a lack of phenotype in agl42 mutants is that in the root its function is redundant. In an attempt to overcome the potential masking effects of redundancy, we used a gain-of-function approach. An insertion in the 5′ UTR (agl42-3) and experiments using AGL42 cDNA under the control of the 35S promoter resulted in 38- and 70-fold overexpression of root RNA, respectively (Figure 5C). However, neither of these gave rise to a phenotype. MADS box genes function as dimers, and AGL42 lacks a C-terminal Gln-rich region that has been associated with transcriptional activation in some other family members, such as AP1 and SEP3 (Honma and Goto, 2001). Reasoning that AGL42 may also require a partner to act as an activator or repressor, we constructed a series of AGL42 fusions to the VP16 strong activation domain (Cousens et al., 1989; Busch et al., 1999) and the EAR strong repression domain (Hiratsu et al., 2002, 2003). These were driven by AGL42 cis elements or the strong constitutive 35S promoter. Considering the possibility that the ectopic overexpressing lines became lethal or AGL42 was regulated at the level of nuclear localization, we constructed dexamethasone-inducible GR fusions of the AGL42-VP16 and AGL42-EAR cDNA with and without an exogenous nuclear localization signal. None of these lines gave rise to a root phenotype when grown on dexamethasone. Evidence that at least some of these constructs produced functional proteins comes from striking differences in flowering time in the 35S-AGL42-EAR construct and modest differences with the 35S-AGL42 construct compared with the wild type (data not shown). SUPPRESSOR OF OVEREXPRESSION OF CONSTANS1/AGL20 (SOC1) activity promotes flowering and is induced with similar kinetics to AGL42 during the floral transition (Schmid et al., 2003), suggesting a shared function in flowering for these two related genes.

The lack of phenotypes for AGL42 and other tested transcription factors suggests a degree of redundancy that may not be circumvented through gain-of-function approaches. Numerous examples of redundancy exist in the MADS box gene family, and all involve closely related genes with overlapping expression (Ferrándiz et al., 2000; Liljegren et al., 2000; Pelaz et al., 2000; Pinyopich et al., 2003; Ditta et al., 2004). None of the genes in the AGL42 clade, namely AGL14, AGL19, SOC1, AGL71, and AGL27 (Parenicova et al., 2003), showed tissue-specific expression in the root. However, other members of the family, including AGL16, AGL17, AGL18, and AGL21, are expressed at relatively high levels in the QC (see Supplemental Figure 2 online). As single mutants, agl19, soc1, agl71, and agl72 do not exhibit an obvious root phenotype, nor do the agl42-1 agl19-1 and agl42-1 soc1 double mutants (T. Nawy and P.N. Benfey, unpublished data). The time and difficulty of producing mutant combinations within such an extensive gene family invokes the need for detailed spatial information to guide further combinatorial genetic studies.

Analysis of Shoot Meristematic Genes in the Root

An important question is to what extent signaling pathways are shared between the root and shoot meristems. Both structures maintain a set of slowly cycling stem cell initials that occupy a niche formed by local signaling. In the shoot, the niche is defined by expression of the WUSCHEL (WUS) homeodomain transcription factor in a region below the stem cells known as the organizing center. WUS induces expression of the CLV3 ligand in the stem cells, and CLV3 signals through the CLV2 receptor and CLV1 receptor kinase to restrict WUS expression. The CLV1-like subfamily of Leu-rich repeat (LRR) receptor-like kinases includes 28 members (Torii, 2004). Although ectopic expression of CLV3 and CLV3-like ligands suggests that these genes function in the root (Casamitjana-Martinez et al., 2003; Hobe et al., 2003), attempts to knock out single or multiple receptor kinases have failed to produce any phenotypes. A possible reason for this emerges from analysis of the digital in situ: many members are either absent from the root or expressed in different tissue-specific domains (Figure 6A). Only At5g48940 is enriched specifically in the QC, but a handful of other receptor-like kinases show overlapping expression with the QC (e.g., At5g65700, At1g72180, At1g09970, At5g25930, and At1g73080). The most specific of these could serve as the starting point of a combinatorial genetic approach that incrementally incorporates related mutants with overlapping expression. This illustrates how the digital in situ can provide critical spatial expression data at the genomic level that can inform a multiple mutation approach.

Figure 6.

Figure 6.

Digital in Situ of Shoot Stem Cell Signaling Genes.

CLV1 family of LRR receptor-like kinases. Normalized expression values are shown for the QC (blue) and other root tissues. Expression in the QC is either significantly enriched over other tissues (red) or not (yellow). CRC, columella root cap; LRC, lateral root cap.

Conclusion

Here, we applied a cell-sorting strategy to extract global transcriptional information from a rare and relatively inaccessible cell type in the plant. We surveyed a sample of QC-enriched transcription factor mutants, of which none exhibited a phenotype in the root. This may have been attributable to a number of reasons, including the fact that some alleles were not null and that expression was not independently confirmed for all of the genes. Also, although we used confocal laser scanning microscopy to detect potentially subtle phenotypes, some phenotypes may not have manifested themselves under our experimental conditions. However, most alleles harbored insertions in upstream exons that would be expected to completely abolish function, and four of five candidates tested by GFP reporter were enriched in the QC region, implying high accuracy of the QC profiling data. A more likely explanation involves a significant degree of functional redundancy in the root QC.

Genomic sequencing and the availability of large sequence-tagged mutant collections are powerful reverse genetic tools when combined with the ability to discern overlapping expression. We propose the use of the digital in situ to limit the mutant combinatorial space and to generate hypotheses about the nature of QC function, such as in relation to phytohormone activity. It is currently possible to cluster genes based on functional annotations (Beissbarth and Speed, 2004). In the future, as annotations become increasingly accurate, this may be a useful way of grouping genes to reveal functional redundancy in addition to expression data. With the set of genes enriched in the QC, it should be possible to screen for and discover at least some factors that are required to perform the unique functions of this stem cell population, which is so critical for plant development.

METHODS

Plant Growth and Transformation

Arabidopsis thaliana seeds were surface-sterilized and grown as described by Benfey et al. (1993) except that the growth medium was prepared with 1.0% agar and supplemented with 1.0% sucrose. Plants were grown under long-day conditions (16 h light, 8 h dark). Transformation was performed on Columbia ecotype plants according to the floral dip method (Clough and Bent, 1998).

Cloning of AGL42 and Isolation of Mutant Alleles

The ET433 enhancer trap was created as described by Malamy and Benfey (1997). Thermal asymmetric interlaced PCR was performed on ET433 (agl42-1) genomic DNA to isolate flanking sequences (Liu et al., 1995).

To isolate agl42-2, collections at the University of Wisconsin, Madison (Sussman et al., 2000) were screened for left and right border T-DNA insertions using the primers 5′-ACTGGCTTGTTTAGGGTTTCAATCTTTAC-3′ and 5′-GGTTACAATAGAAAGCCAAAAGGGACTTA-3′ and confirmed by DNA gel blot analysis with AGL42 cDNA probe. agl42-3 corresponds to SALK_076684 isolated from a collection of sequence-indexed T-DNA insertion lines at the Salk Institute (Alonso et al., 2003). The agl42-4 and agl42-5 point mutants were recovered from the TILLING collection of ethyl methanesulfonate mutant lines at the University of Washington (Seattle) (McCallum et al., 2000). The agl42-8 allele is a sequence-indexed line from the GABI-Kat collection (Rosso et al., 2003) bearing an En-1 autonomous transposable element.

The pi-1 mutant was described previously (Bowman et al., 1989), and all other mutants were recovered from the Salk Institute Genomic Analysis Laboratory (http://signal.salk.edu/cgi-bin/tdnaexpress) as insertions from the Salk collection or the Syngenta SAIL collection (Sessions et al., 2002). Seedling DNA was collected using the Extract-N-Amp plant PCR kit (Sigma-Aldrich, St. Louis, MO). Genotyping primers are listed in Supplemental Table 2 online. Primers with asterisks amplify the wild-type allele or the insertion allele in combination with a T-DNA primer: −46R, 5′-GCGTGTCCTCTCCAAATGAA-3′ (for agl42-1); JL202′, 5′-TATAATAACGCTGCGGACATCTAC-3′ (for agl42-2); LBb1′, 5′-GTGGACCGCTTGCTGCAACT-3′ (for all Salk insertions); GABI.8049, 5′-ATATTGACCATCATACTCATTGC-3′ (for agl42-8); and SAIL.LB1, 5′-TTCATAACCAATCTCGATACAC-3′ (for SAIL insertions). Both agl42-4 and agl42-5 primers amplify derived cleaved amplified product markers (MaeIII-digested agl42-4, 277 bp wild type and 220/57 bp mutant; BsmAI-digested agl42-5, 340 bp wild type and 150/190 bp mutant). The Arabidopsis Genome Initiative number for AGL42 is At5g62165.

Reporter Construction

For AGL42:GFP construct I, the 2.7-kb promoter and the 5′ UTR were amplified from Columbia genomic DNA using 5′FF (5′-CCCAAGCTTGGATCCCCCCTTCAAATAGGATATGCC-3′) and PromR (5′-GCTCTAGAGAATTCTTTTCTTGCTTTGACTTCATTTTTTCTGCCAC-3′) and cloned into pBluescript SK+ (Stratagene, La Jolla, CA) as a HindIII/EcoRI fragment. This was removed with HindIII/SmaI for subcloning into the binary vector pBIN-GFP.Link, a pBIN19 derivative including a polylinker upstream of mGFP5-ER (Haseloff et al., 1997; Malamy and Benfey, 1997).

For AGL42:GFP construct II, the Int1F (5′-CCCAAGCTTGAATTCTAGCTCTGAGTATGTTTTCTTC-3′) and −46R primers were used to amplify from genomic DNA prepared from ET433 plants, ligated to pCR2.1 (Invitrogen, Carlsbad, CA), and dropped into pBIN-GFP.Link as a HindIII/BamHI fragment.

For AGL42:GFP construct III, the MADS box and first intron were amplified from No-0 genomic DNA using Prom1F (5′-GTGGCAGAAAAAATCAAGTCAAAGC-3′) and Ex2R (5′-CATGCCATGGTCGTCTTCTGCATACTGATGATC-3′) primers and cloned into pAVA393 (von Arnim et al., 1998) containing a red-shifted GFP5 modified for N-terminal fusion (GenBank accession number AF078810). The 2.7-kb promoter, 5′ UTR, and MADS box were amplified using 5′FF and Int1R (5′-CTAGCTCTGAGTATGTTTTCTTC-3′) and inserted into the intron-bearing construct by EcoRV/EcoRI. The entire fragment containing promoter, UTR, first exon, first intron, and GFP5 was subcloned into pBIN19.

For AGL42:GUS construct IV, to introduce mutations into the six ATG sequences in the MADS box, two rounds of primer extension PCR were performed using two sets of long primers containing point mutations at ATG sites.

The MADS box to the start of the second exon was amplified with Ex1.KpnF′ (5′-AGCGGGATCCAAATTGGTACCAGGAAAGATAGAGACGAAGAAAATAG-3′) and Ex1.3′R (5′-CCTGGTACCAATTTTCTTGCTTTGACTTGATT-3′) and subcloned into pBluescript SK+ with a destroyed KpnI site using BamHI/XhoI. The full-length (3.4-kb) promoter was amplified using 5′Most (5′-ACGGGATCCAGTTATTCTTGCTTGTTTTTTGAG-3′) and Ex1.KpnR primers with high-fidelity Phusion polymerase (Finnzymes, Helsinki, Finland) from Columbia genomic DNA. Promoter was cloned into the intron-bearing construct with BamHI/KpnI and subcloned into modified pDONR P4-P1R containing BamHI/XhoI using those sites. This was used for Gateway-based (Invitrogen) cloning (see below).

The GUS gene was amplified from pRTL-GUS (Carrington and Freed, 1990) and recombined with pDONR 221 for subsequent Gateway cloning.

For promoter-GFP constructs, the primers listed in Supplemental Table 2 online were used to amplify promoters for transcriptional fusions to mGFP5-ER (Haseloff et al., 1997). Reporters were constructed by recombination into the pDONR P4-P1R vector and subsequent three-way Gateway recombination into a modified binary destination vector (J.-Y. Lee, J. Colinas, and P.N. Benfey, unpublished data) to fuse to mGFP5-ER.

Cloning of AGL42 Loss-of-Function and Gain-of-Function Variations

Constructions for AGL42 gain-of-function experiments were made using the Multisite Gateway three-fragment vector construction kit (Invitrogen) with a binary destination vector modified to include a NOS terminator and resistance to glufosinate ammonium. AGL42 cDNA was placed in pENTR format by amplifying and recombining with pDONR 221. The nuclear localization signal and the Myc tag were taken from pRTL2 (a gift of Detlef Weigel, Max Planck Institute, Tubingen, Germany) by NcoI digestion and ligated to the N terminus of a partial digestion of pENTR-AGL42, which contains two NcoI sites. We amplified the HSV-1 a-Trans inducing protein VP16 transactivation domain (amino acids 413 to 490; Cousens et al., 1989) from pTA700 (Aoyama and Chua, 1997) and recombined product with pDONR P2R-P3. For EAR, complementary sense (5′-GGGGACAGCTTTCTTGTACAAAGTGGGACTTGATTTGGATCTTGAGTTGAGACTTGGATTCGCTTAACAACTTTATTATACAAAGTTGTCCCC-3′) and antisense oligonucleotides were mixed and recombined directly into pDONR P2R-P3. The entire VP16:GR region of pTA700 was amplified and subsequently recombined with pDONR P2R-P3. The 35S promoter was taken from pBS-35S (Helariutta et al., 2000) and inserted into pDONR P4-P1R.

For RNA interference, the GUS spacer from pCRII-GUS (Chuang and Meyerowitz, 2000) was subcloned into pBluescript SK+ with destroyed EcoRI and EcoRV sites. AGL42 coding sequence lacking the MADS box was amplified from cloned cDNA (see above) using IKC.SenF (5′-AGCGGATATCCCAGCAATCACGACTCACA-3′) and IKC.SenR.NotI (5′-ATAAGAATGCGGCCGCCCCAAATCATTACCTCACA-3′) for the sense orientation and IKC.AntF (5′-AGCGGAATTCCCAGCAATCACGACTCACA-3′) and IKC.AntR (5′-ACGCGGATCCCCCAAATCATTACCTCACA-3′) for the antisense orientation. Sense product was cloned into the pBluescript-GUS using EcoRV/NotI. Antisense product was inserted into this vector with EcoRI/BamHI. Both orientations and GUS spacer were cloned into the binary pCGN.

Microscopy

Histochemical staining for the GUS reaction was performed as described by Malamy and Benfey (1997), and roots were either cleared according to this protocol or as described by Liu and Meinke (1998). Light micrographs were taken using a Qimaging (Burnaby, British Columbia, Canada) Micropublisher 5.0 camera mounted on a Leica (Wetzlar, Germany) DM/RXA2 microscope. Images were captured using Qcapture software by Qimaging.

For confocal laser scanning microscopy, seedling roots were stained in 10 mg/L propidium iodide for 2 to 5 min, rinsed, and mounted in water. Visualization was performed using a Zeiss LSM 510 system mounted on an Axioplan 2 microscope. After excitation by a Kr/Ar 488-nm laser line, propidium iodide was detected with a long-pass 560-nm filter and GFP was detected with a band-pass 505- to 550-nm filter.

Quantitative RT-PCR

RNA for quantitative PCR was extracted using the RNeasy plant extraction kit (Qiagen, Valencia, CA) from root tissue of synchronized seedlings harvested at 7 d after germination. TaqMan reverse transcriptase (Roche, Indianapolis, IN) was used to synthesize cDNA. Quantification was performed using the Roche LightCycler real-time thermocycler with a SYBR green probe. The clathrin gene was included in all reactions to control for RNA quantity. Primers used were as follows: Clathrin.F (5′-TGACGTTCACGATACCTAT-3′), Clathrin.R (5′-AGGTCATATCCTAGCCA-3′), madsboxF (5′-ATTGAAACAAGAAGCAAGCCA-3′), and madsboxR (5′-CATTCTTTTGATGTAACTTGACG-3′).

Cell Sorting and Microarray Analysis

AGL42:GFP and PET111 seedlings were grown, harvested, protoplasted, and sorted as described by Birnbaum et al. (2003). Briefly, ∼30,000 seeds were used to obtain 1000 to 2000 GFP-positive cells. The Affymetrix small sample labeling protocol VII was used to amplify mRNA from the GFP-positive cells. The biotin-labeled complementary RNA was hybridized to the Arabidopsis ATH1 GeneChip array (Affymetrix) by the Duke Microarray Core Facility and Expression Analysis (Durham, NC).

One of the AGL42:GFP sorts was from seedlings grown on nutrient agar medium supplemented with 4.5% sucrose, and the other was supplemented with 1% sucrose. To control for sucrose effects, we profiled whole roots grown on the two sucrose concentrations (three replicates each) without protoplasting and subjected the results to a mixed-model analysis (Chu et al., 2002). Significantly overrepresented or underrepresented genes (q < 0.001- and > 1.2-fold enriched in either 4.5 or 1% sucrose) are listed in Supplemental Table 1 online and were removed from the QC-enriched gene set (35 of 325 genes).

Supplementary Material

[Supplemental Data]

Acknowledgments

We thank Renze Heidstra for making the PET111 line available and Mike Cook of the Comprehensive Cancer Facility at Duke University for expert assistance with cell sorting. Special thanks to Mitch Levesque and Jeremy Erickson for statistical support and to Ben Scheres, Renze Heidstra, and Kim Gallagher for critical reading of the manuscript. We also acknowledge Jee Jung, Joe Franklin, and Betty Kelley for valuable technical help. This work was supported by National Science Foundation Grant 0209754 and National Institutes of Health Grant RO1 GM-043778.

The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantcell.org) is: Philip N. Benfey (philip.benfey@duke.edu).

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Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.105.031724.

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