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First published online September 18, 2003; 10.1104/pp.103.028241 Plant Physiology 133:713-725 (2003) © 2003 American Society of Plant Biologists Transcriptional Profiling of Arabidopsis Tissues Reveals the Unique Characteristics of the Pollen Transcriptome1,[w]Instituto Gulbenkian de Ciência, PT2780156 Oeiras, Portugal (J.D.B., L.C.B., J.C., M.H., J.A.F.); and Centro de Biotecnologia Vegetal, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Ed.C2. PT1749016 Lisboa, Portugal (L.C.B., J.A.F.)
Pollen tubes are a good model for the study of cell growth and morphogenesis because of their extreme elongation without cell division. Yet, knowledge about the genetic basis of pollen germination and tube growth is still lagging behind advances in pollen physiology and biochemistry. In an effort to reduce this gap, we have developed a new method to obtain highly purified, hydrated pollen grains of Arabidopsis through flowcytometric sorting, and we used GeneChips (Affymetrix, Santa Clara, CA; representing approximately 8,200 genes) to compare the transcriptional profile of sorted pollen with those of four vegetative tissues (seedlings, leaves, roots, and siliques). We present a new graphical tool allowing genomic scale visualization of the unique transcriptional profile of pollen. The 1,584 genes expressed in pollen showed a 90% overlap with genes expressed in these vegetative tissues, whereas one-third of the genes constitutively expressed in the vegetative tissues were not expressed in pollen. Among the 469 genes enriched in pollen, 162 were selectively expressed, and most of these had not been associated previously with pollen. Their functional classification reveals several new candidate genes, mainly in the categories of signal transduction and cell wall biosynthesis and regulation. Thus, the results presented improve our knowledge of the molecular mechanisms underlying pollen germination and tube growth and provide new directions for deciphering their genetic basis. Because pollen expresses about one-third of the number of genes expressed on average in other organs, it may constitute an ideal system to study fundamental mechanisms of cell biology and, by omission, of cell division.
Pollen has been the subject of intense studies not only for its importance as the male partner in plant reproduction, but also as a model for the study of cell growth and morphogenesis in a broader sense (Feijó et al., 2001
Studies in several plant species have indicated that the bulk of mRNAs needed for pollen germination and tube growth accumulates in pollen grains well before germination (Mascarenhas, 1989
FACS Yields Highly Purified Arabidopsis Pollen Grains
An essential requirement for obtaining high-quality DNA array data is purity of the tissue or cellular source for RNA extraction, because any kind of impurity could result in an inaccurate transcriptional profile. Because the reported sensitivity of the Arabidopsis Genome GeneChip arrays is one transcript in 100,000 to one transcript in 300,000 (Zhu and Wang, 2000
Gene expression patterns of approximately 8,200 genes, representing roughly one-third of the Arabidopsis genome, were obtained for Arabidopsis pollen grains and for several vegetative tissues: seedlings, leaves, root, and siliques. The results were highly reproducible as underlined by the high correlation coefficients of the replicates, which ranged from 0.977 to 0.992. For each vegetative tissue, a similar percentage of genes were called Present by the MAS 5 algorithm, with a mean of 59% in seedlings, 56% in leaves, and 64% in roots and siliques. In contrast, only 21% of the genes represented on the arrays were called Present in the pollen samples (1584 unique genes). Normalization reduces variation of non-biological origin and is therefore a prerequisite for the direct comparison of expression profiles from different arrays. The large differences in the transcriptional profiles in this study, i.e. the sample-specific differences in Presence calls, precluded the use of global scaling/normalization methods. Instead, we employed a sample-wise normalization to the median median probe cell intensity of all arrays, implemented into version 1.3 of the dChip software (http://www.dchip.org; Wong laboratory, Harvard, Boston). This method works independently from the overall intensity of an array. After normalization and model-based computation of expression values, we excluded genes called Absent in all arrays and genes with inconsistent expression levels within the replicate arrays. Thus, for further analysis, our data set contained 6,459 genes. We developed a new graphical tool to visualize the striking differences between the transcriptional profiles of the vegetative tissues and pollen (Fig. 3). This tool, "Snail View", compares and displays the changes in expression levels of thousands of genes simultaneously, but still allows meaningful interpretations of the overview obtained (the software can be downloaded at http://eao.igc.gulbenkian.pt/ti/Soft/SnailView/). The average expression value in the seedling samples were chosen as reference, considering that seedlings probably contain cell types found in roots, leaves and, most likely, in siliques. The high correlation of data derived from the replicates is exemplified by the comparison of expression values obtained for the single-seedling replicates. This high correlation is visualized by the small deviations from the line representing the average value of the seedling replicates. The expression values of leaves and of seedlings are strongly correlated, especially for those genes with the highest expression level in seedlings. The cotyledons contribute the largest part to the biomass of 4-d-old seedlings, so this similarity was anticipated. Expression values obtained for siliques and root samples show high deviations from the seedling reference. Genes highly expressed in seedlings are down-regulated (most considerably in roots), and those with low expression levels in seedlings are up-regulated (most considerably in siliques). The most dramatic differences are seen in the pollen to seedling comparison. Most genes with high or medium expression values in seedlings show low expression values in pollen. This trend is reversed for genes with low expression values in seedlings, because a high proportion of these genes are highly expressed in pollen and reach expression values comparable with those of genes with the highest expression in seedlings. The correlation coefficients (0.032, 0.029, 0.040, and 0.067) of the expression values of pollen relative to expression values of seedlings, leaves, siliques, and roots, show that pollen has a transcriptional profile that is clearly distinguished from that of vegetative tissues.
We assumed that gene products of transcripts that were highly enriched or even selectively expressed in pollen grains might be of major importance, if not crucial for successful pollen germination and tube growth. To identify such genes, we followed two complementing approaches. First, we measured enrichment in gene expression as the lower limit (lower confidence bound) of a 90% confidence interval for the fold change in gene expression. Gene expression values in pollen were compared with those in each of the vegetative tissues, and a score above 1.2 was used as the criterion to select genes enriched in pollen; 469 genes met this criterion in all four comparisons (supplemental Table I). Second, we used Affymetrix MAS 5 Present calls to sort genes; 5,775 genes were reproducibly called Present in at least one of the four vegetative tissues. Of the 1,584 genes called Present in pollen (for hierarchical clustering, see Fig. 4A), 1,422 (90%) showed an overlap with the genes detected in vegetative tissues (Fig. 4B). The remaining 10% (162 genes) were called Present only in pollen and are referred to as selectively expressed from hereon. The two methods yielded an overlap of 150 genes that we characterized in more detail.
Thus, our expression analysis of roughly one-third of the annotated genes of Arabidopsis shows that 10% of the genes expressed in pollen are selectively expressed in pollen, whereas the other 90% are also expressed in one or more vegetative tissues. This substantial overlap of genes active in the sporophyte and in the male gametophyte had been predicted earlier based on isoenzyme studies in pollen and vegetative tissues in barley (Hordeum vulgare; Pederson et al., 1987
We sorted the 150 selectively expressed genes into functional categories (Table I; Fig. 4C), taking into consideration several aspects of current knowledge about the pollen grain and tube physiology. This categorization is based on known functions of the gene products as well as gene ontology annotations derived from homologies. Our analysis confirmed the expression of some genes already known to be expressed in pollen, but it also led to the identification of several genes not known to be expressed in the male gametophyte so far.
A fundamental aspect of tip growth of pollen tubes is the continuous deposition of new cell wall and plasma membrane at the tube apex. Vesicles delivering this material are transported by the actin cytoskeleton. In addition to components of the cytoskeleton in pollen tubes, which have been described as such, i.e. the actin genes ACT4/12 (Huang et al., 1996
Exo- and endocytosis are required to release the contents of the transported vesicles and to reincorporate excess membrane material. The syntaxin AtSYP124 (At1g61290) and a homolog of the yeast Sec7p protein (At2g30690) fall into the large group of genes presumably involved in vesicle trafficking. Other potential SNAREs that might be required for vesicle fusion in pollen are encoded by the pollenenriched genes AtBET12 (At4g14450) and AtVAMP725 (At2g32670). The clathrin family protein At1g05020 is selectively expressed, and a clathrin assembly protein (At1g03050), which is highly enriched in pollen, might have endocytic functions. Furthermore, two putative ARF GTPases (At2g35210 and At2g14490) are selectively expressed.
The pollen tube wall is a bipartite structure with an inner sheath of 1,3- Arabidopsis pollen grains express a whole range of cell wall hydrolytic and cell wall-loosening enzymes such as polygalacturonases, pectate lyases, pectin esterases, glycosyl hydrolases, and expansins. The genes encoding these proteins are among those with the highest expression levels in pollen grains in our study, e.g. the putative polygalacturonase At3g07820. Besides their putative roles in modifications of the pollen tube wall, they may be important for the penetration of the stigmatic tissue.
Glycosylphospatidylinositol (GPI)-anchored proteins are targeted to the cell surface and presumably are involved in remodeling of the extracellular matrix and/or in signaling (Borner et al., 2002
Besides calcium fluxes, several studies indicate the involvement of polarized internal gradients and/or external fluxes of protons, potassium, and chloride in pollen tube growth (for review, see Hepler et al., 2001
The putative cation/H+ antiporters AtCHX8, -13, and -16 (At2g28180, At2g13620, and At2g30240) are possible regulators of proton fluxes observed during pollen tube growth (Feijó et al., 1999
Inhibitor studies with pollen of several plant species (for review, see Mascarenhas, 1975
Potential ligands to pollen receptor kinases might be expressed by the pistil or by the pollen itself as shown for LePRK2 and its pollen-expressed ligand LAT52 (Tang et al., 2002
Although only two genes encoding potential regulators of translation were selectively expressed (At3g16380 and At2g39820), there are several more potential regulators of translation showing an enriched expression in pollen (supplemental Table I). Protein turnover in pollen might also contribute to regulation, and therefore the five genes involved in proteolysis are notable. Three percent of the genes that are selectively expressed encode proteins potentially involved in transcriptional regulation. Among these are transcription factor MYB97 (At4g26930) and the MADS-box proteins AGL29 and AGL30 (At2g34440 and At2g03060). AGL30 is a homolog of MADS1;11 of tobacco, which is thought to be a regulator of gene expression during early pollen tube growth (Steiner et al., 2003
The cell cycle in the vegetative cell of pollen is believed to be arrested. However the sperm cells continue through the S phase of the cell cycle after pollination and are deposited into the embryo sac with a 2C content of DNA in G2 (Friedman, 1999
Stress response-related genes, such as the small heat shock protein gene At-HSP17.6A (At5g12030), represent 7% of the pollen selectively expressed genes. The expression of At-HSP17.6A was shown to be induced by heat and osmotic stress (Sun et al., 2001 Hypothetical proteins and proteins with unknown function account for 23% of the 150 selectively expressed genes. The high expression levels for some of them indicate their potential importance for the male gametophyte. Furthermore, our data confirm the expression of 10 genes that had hypothetical status so far (i.e. no representation in EST databases existing), which makes them interesting candidates for a functional characterization of their encoded gene products.
Our main goal was to identify enriched or selectively expressed genes in pollen to gain insight into the genetic basis of pollen germination and tube growth, but identifying genes that are specifically down-regulated in pollen is also informative. For this purpose, we used a list of constitutively expressed genes from samples from 5-week-old Arabidopsis (leaves, roots, inflorescence stems, and flowers; Zhu et al., 2001
The next largest set (26%) of transcripts encodes proteins involved in diverse functions related to metabolism. Surprisingly, the third largest group (8%) consists of genes encoding membrane intrinsic proteins. Besides two TIPs (TIP1;1 and TIP1;2), six of these encode plasma membrane intrinsic proteins (PIPs; PIP1;1, PIP1;2, PIP1;5, PIP2;1, PIP2;2, and PIP2; 7). This observation prompted us to study the expression levels and calls of the remaining seven annotated Arabidopsis PIPs (Johanson et al., 2001
We have identified transcripts of 1,584 genes in Arabidopsis pollen, of which 30% are pollen enriched and 10% pollen selectively expressed. Thus, our study significantly increases the current knowledge of genes expressed in the male gametophyte of Arabidopsis. The specific down-regulation of otherwise constitutively expressed genes emphasizes that a particular genetic program underlies the unique growth of pollen tubes. T-DNA insertion lines are available for the majority of the 150 genes selectively expressed in pollen, and their characterization might support the ongoing efforts to combine genetic and physiological evidence into a model for pollen germination and pollen tube growth. We show here that pollen possesses a significantly lower amount of expressed genes compared with other vegetative tissue and yet retains remarkable self-organized regulatory mechanisms of growth. This makes pollen an excellent model for the study of cell growth and morphogenesis on apical growing cells because it seems to be using a "minimal" set of genes encoding a mechanism with obvious evolutionary success.
Plant Material and Growth Conditions Arabidopsis ecotype Col-0 was used in this study. To minimize interplant variability, tissues from a minimum of 12 plants were pooled for each RNA extraction. For seedling and root, seeds were surface-sterilized and then spread on petri dishes containing B-5 medium (Duchefa, Haarlem, The Netherlands) solidified with 0.8% (w/v) phytagar (Duchefa). The seeds were cold-treated for 3 d at 4°C to ensure uniform germination. The plates were transferred to short-day conditions (8 h of light at 21°C23°C) and grown in a horizontal (for harvest of seedlings) or vertical position (for harvest of roots). For the seedling samples more than 25 seedlings from five petri dishes were collected after 4 d of growth. For the root samples more than 25 roots from 10 petri dishes were harvested after 13 d. Plants for the leaf, silique, and pollen samples were grown on soil for 12 weeks in short-day conditions (8 h of light at 21°C23°C) and then changed to long-day conditions (16 h of light) to induce flowering. After bolting, more than 12 rosette leaves from different plants per leaf sample were collected. Young siliques were harvested 2 weeks later. Old parts of the flower, especially stamens, were removed from the siliques to ensure pollen-free silique samples, and more than 25 siliques from different plants were pooled per sample.
A detailed protocol of the purification of hydrated pollen grains can be found in the supplemental "Materials and Methods". In brief, flower heads were cut and placed in a humid chamber for 2 h. Then the flower heads were agitated three times in 500 mL of pollen-sorting buffer (10 mM CaCl2, 1 mM KCl, 2 mM MES, and 5% [w/v] Suc, pH 6.5 with NaOH, in double-distilled water). After consecutive filtration and centrifugation steps, the resulting pellet, highly enriched in pollen, was re-suspended in 10 mL of pollen-sorting buffer. Hydrated pollen grains were separated from non-hydrated and/or destroyed pollen grains and other impurities in a final purification step using FACS based on size and autofluorescence criteria of pollen. Pollen viability was assessed by enzymatically induced fluorescence using fluorescein diacetate according to Heslop-Harrison and Heslop-Harrison (1970
Total RNA was extracted from the tissue and cell samples, respectively, using the RNeasy Mini Plant Kit (Qiagen, Hilden, Germany). RNA quality was assessed by agarose gel electrophoresis and spectrophotometry. RNA was processed for use on Affymetrix Arabidopsis Genome GeneChip arrays, according to the manufacturer's protocol. In brief, 7 µg of total RNA was used in a reverse transcription reaction (SuperScript II, Invitrogen, Paisley, UK) to generate first-strand cDNA. After second-strand synthesis, double-strand cDNA was used in an in vitro transcription reaction to generate biotinylated cRNA. After purification and fragmentation, 15 µg of cRNA was used in a 300-µL hybridization containing added hybridization controls. Two hundred microliters of mixture was hybridized on arrays for 16 h at 45°C. Standard post hybridization wash and double-stain protocols were used on an Affymetrix GeneChip Fluidics Station 400. Arrays were scanned on an Affymetrix GeneChip Scanner 2500.
Scanned arrays were analyzed first with Affymetrix MAS 5.0 software to obtain Absent/Present calls and to assure that all quality parameters were in the recommended range. For subsequent analysis, dChip 1.3 (http://www.dchip.org; Wong laboratory, Harvard) was used. The following conditions were applied to ensure reliability of the analyses (for details, see supplemental "Materials and Methods"): First, each GeneChip experiment was performed with biological replicates and triplicates in the case of pollen, respectively. Second, we used a sample-wise normalization to the median median probe cell (CEL) intensity of all arrays. Third, normalized CEL intensities of the 11 arrays were used to obtain model-based gene expression indices based on a Perfect Match-only model (Li and Hung Wong, 2001
To achieve a higher stringency for the identification of constitutively expressed genes in the vegetative tissues, we combined our data with a set identified by Zhu et al. (2001
For gene annotation, we used the updated TAIR (The Arabidopsis Information Resource) annotation (October 2002 release) for the Arabidopsis Genome GeneChip array (http://www.arabidopsis.org). Genes were classified into functional categories using the Gene Ontology information available from TAIR as of October 2002. Genes represented by two or more probe sets on the array were analyzed manually, and only the most significant probe set for this gene was included in the final tables.
We thank Philip Benfey (New York University [now at Duke University, Durham, NC]) for initial support and critical reading of the manuscript, Pedro Coutinho (Instituto Gulbenkian de Ciência) for his help to update the gene annotation, and Sheila McCormick (Plant Gene Expression Center, Albany, CA) for critical reading of the manuscript. Received June 7, 2003; returned for revision July 7, 2003; accepted July 9, 2003.
Article, publication date, and citation information can be found at www.plantphysiol.org/cgi/doi/10.1104/pp.103.028241.
1 This work was supported by the Fundação para a Ciência e a Tecnologia (FCT; project nos. POCTI/BCI/41725/2001, POCTI/BIA/34772/1999, and POCTI/BCI/46453/2002). J.D.B. and L.C.B. were supported by FCT fellowships SFRH/BPD/3619/2000 and SFRH/BD/1128/2000.
[w] The online version of this article contains Web-only data. * Corresponding author; e-mail jose.feijo{at}fc.ul.pt; fax 351214407970.
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