Abstract
Background
In flowering plants, the female gametophyte is typically a seven-celled structure with four cell types: the egg cell, the central cell, the synergid cells, and the antipodal cells. These cells perform essential functions required for double fertilization and early seed development. Differentiation of these distinct cell types likely involves coordinated changes in gene expression regulated by transcription factors. Therefore, understanding female gametophyte cell differentiation and function will require dissection of the gene regulatory networks operating in each of the cell types. These efforts have been hampered because few transcription factor genes expressed in the female gametophyte have been identified. To identify such genes, we undertook a large-scale differential expression screen followed by promoter-fusion analysis to detect transcription-factor genes transcribed in the Arabidopsis female gametophyte.
Results
Using quantitative reverse-transcriptase PCR, we analyzed 1,482 Arabidopsis transcription-factor genes and identified 26 genes exhibiting reduced mRNA levels in determinate infertile 1 mutant ovaries, which lack female gametophytes, relative to ovaries containing female gametophytes. Spatial patterns of gene transcription within the mature female gametophyte were identified for 17 transcription-factor genes using promoter-fusion analysis. Of these, ten genes were predominantly expressed in a single cell type of the female gametophyte including the egg cell, central cell and the antipodal cells whereas the remaining seven genes were expressed in two or more cell types. After fertilization, 12 genes were transcriptionally active in the developing embryo and/or endosperm.
Conclusions
We have shown that our quantitative reverse-transcriptase PCR differential-expression screen is sufficiently sensitive to detect transcription-factor genes transcribed in the female gametophyte. Most of the genes identified in this study have not been reported previously as being expressed in the female gametophyte. Therefore, they might represent novel regulators and provide entry points for reverse genetic and molecular approaches to uncover the gene regulatory networks underlying female gametophyte development.
Background
The female gametophyte is an integral component of the plant life cycle and plays an essential role in plant reproduction. In most angiosperms including Arabidopsis, the female gametophyte (also called the embryo sac) typically consists of an egg cell, a central cell, two synergid cells, and three antipodal cells [1,2]. During double fertilization, the pollen tube penetrates one of the synergid cells and releases two sperm cells, which fuse with the egg cell and the central cell to give rise to the embryo and the endosperm, respectively [3]. The embryo forms the next generation while the endosperm functions to support embryo development and/or seedling development after seed germination [4-6]. Normal seed development depends on the proper differentiation and functions of the central cell and the egg cell [1,2,7-20]. Although the synergid cells do not directly contribute to the development of the seed after fertilization, they are required for pollen tube attraction [21-26] and proper discharge of pollen tube contents [27-31]. In contrast to the other cell types of the female gametophyte, no clear function has been found for the antipodal cells thus far.
In Arabidopsis and most other angiosperm species, the development of the female gametophyte follows a monosporic, Polygonum-type developmental pattern, in which a single functioning megaspore undergoes three rounds of mitosis without cytokinesis, eventually producing a seven-celled structure with the egg cell and the two synergid cells at one pole (micropylar pole), three antipodal cells at the opposite pole (chalazal pole), and a large central cell in the center [1,2,32]. As in many other developmental processes [33], cell differentiation in the female gametophyte is likely under the control of gene-regulatory networks that consist of transcription factors and their downstream targets. Therefore, identification of transcription-factor genes expressed in the female gametophyte is an important step towards understanding female gametophyte development.
Much of our knowledge about female gametophyte development has been obtained through the analysis of over 100 female gametophyte mutants [1,2,7,9,15,20,34-44]. However, only four of these mutants have been clearly shown to be affected in transcription-factor genes: agl80 and agl61 mutants are defective in central cell specification and development [7-9], myb98 mutants show defects in synergid cell development and function [22,25,26], and agl23 mutants are defective in megagametogenesis [43]. Transcription-factor genes involved in the specific development of the egg cell or the antipodal cells have not been identified.
Expression-based analyses have also been used to identify many genes expressed in the female gametophyte. For example, cDNA libraries from isolated egg cell, central cell, synergid cells, or whole embryo sacs, have led to the identification of hundreds of female gametophyte-expressed genes in maize, wheat, tobacco, and Torenia fournieri [23,24,45-53]. However, few transcription-factor genes have been reported in these studies. Differential-expression screens using Arabidopsis mutants including sporocyteless (spl), determinate infertile 1 (dif1), and coatlique (coa) that lack female gametophytes have been utilized more recently to identify genes that are expressed in the female gametophyte [54-57]. These mutants are defective either in the initiation of meiosis (spl), progression through meiosis (dif1), or the initiation of megagametogenesis (coa) and therefore do not produce any female gametophytes in an otherwise normal-looking ovule [54,58-60]. In these screens, mRNA profiles from wild-type and mutant ovules or pistils were compared, and genes with reduced mRNA levels (down regulated) in the mutant as compared to wild type would include those that are expressed in the female gametophyte. These microarray-based screens have identified 225 down-regulated genes in spl ovules [57], 71 and 382 down-regulated genes in dif1 ovules [55,56], and 421 down-regulated genes in coa pistils [54]. Despite the large number of genes identified in these screens, only two transcription-factor genes, MYB98 [22,56] and AT5G50915 [54], have been confirmed to be expressed in the female gametophyte. It is likely that standard microarray techniques are not sufficiently sensitive for the detection of low-prevalence mRNAs typical of most transcription-factor genes [61,62].
Here we report the identification of a large number of transcription-factor genes expressed in the Arabidopsis female gametophyte. Using quantitative reverse-transcriptase PCR (qRT-PCR), we carried out a differential expression screen of 1,482 transcription-factor genes and identified 26 genes down-regulated in dif1 mutant ovaries lacking female gametophytes. Localization of transcriptional activities within the female gametophyte was confirmed for 17 transcription-factor genes using promoter:GFP fusions. Of these, ten genes are predominantly expressed in a single cell type of the female gametophyte: the egg cell, the central cell, or the antipodal cells. The remaining seven genes are expressed in two or more cell types. We also show that 12 transcription-factor genes are transcribed in the embryo and/or the endosperm of early developing seeds. The majority of these transcription-factor genes have not been previously implicated in female gametophyte development or function. Therefore, our results provide a valuable starting point for elucidating the gene-regulatory networks governing differentiation during female gametophyte development.
Results
Quantitative RT-PCR analysis of transcription-factor mRNAs in ovaries
We carried out a differential expression screen to identify transcription-factor genes expressed in the late stages of Arabidopsis female gametophyte development, during which female gametophyte cell types are established [63]. With some modifications, we employed a strategy we previously used to identify genes expressed during female gametophyte development [9,22,56]. In brief, we used qRT-PCR to identify mRNAs with reduced levels in dif1 ovaries, which lack female gametophytes [59,60,64], relative to male sterile1 (ms1) ovaries, which contain wild-type female gametophytes [65-67]. The qRT-PCR reactions were performed with RNA samples obtained from dif1 and ms1 ovaries harvested from flowers at developmental stages 12C to 14 [68], which, in wild type, contained female gametophytes at developmental stages FG5 to FG7 [63]. We normalized the raw threshold cycle values (CT) for each ms1 or dif1 reaction against CT values obtained for ACTIN2 (ACT2) mRNA (expressed as CT, ms1 and CT, dif1 values). We quantified the relative changes in mRNA levels between ms1 and dif1 ovaries by determining the differences between the normalized CT, ms1 and CT, dif1 values (expressed as ΔΔCT).
We carried out an initial qRT-PCR screen (referred to as the primary screen) of 1,482 transcription-factor genes (Additional file 1). To compare levels of transcription-factor mRNAs in ms1 and dif1 ovaries, the normalized single or the averaged CT values for each tested transcription-factor mRNA from the ms1 and dif1 RNA sources were plotted against each other (Additional file 2). The data indicated that the mRNA levels of most transcription-factor genes were not affected in the ovaries by the absence of the female gametophyte [Pearson correlation (r) ~ 0.981]. We considered mRNAs with a ΔΔCT value above 1.5 or below -1.5 to be differentially elevated in ms1 or dif1 ovaries, respectively (outside the dashed lines; Additional file 2). By this criterion, 69 mRNAs were elevated in ms1 as compared to dif1 (ΔΔCT above 1.5; Additional file 2) and 58 mRNAs showed an elevated level in dif1 (ΔΔCT below -1.5; Additional file 2). The latter group likely represents genes whose activity within the ovaries is increased due to the absence of the female gametophyte in the dif1 mutant plants and was not studied further. Because the former group of transcription-factor mRNAs represents genes that are likely expressed in the female gametophyte, we selected them for further analysis.
The 69 transcription-factor mRNAs with ΔΔCT values above 1.5 in the primary screen were analyzed under more stringent qRT-PCR conditions. For this, we performed three additional sets of qRT-PCR reactions (referred to as the secondary screen) using independently isolated ovary RNAs (Additional file 3). A high level of reproducibility was observed among the three biological replicates from both the ms1 (r ~ 0.948-0.980) and dif1 (r ~ 0.916-0.941) genotypes. We applied an arbitrary threshold (ΔΔCT >1.0, P<0.1, paired Student's t-test) to define genes that display higher levels of mRNA in ms1 versus dif1 ovaries. As shown in Additional file 3, of the 69 genes tested, 26 genes were confirmed to be down-regulated in dif1 ovaries.
Analysis of transcription-factor gene promoter activities in the female gametophyte
To confirm that the transcription-factor genes identified from the qRT-PCR screens are transcriptionally active in the female gametophyte and to determine their patterns of expression, we generated transgenic Arabidopsis plants carrying promoter:GFP fusion constructs for 15 of the 26 transcription-factor genes with ΔΔCT values above the statistical threshold of the secondary qRT-PCR screen (highlighted in Additional files 1 and 3; summarized in Additional file 4). In addition, we also tested 9 genes with ΔΔCT values below the threshold to evaluate the stringency of the secondary screen (highlighted in Additional files 1 and 3). As discussed below, we detected promoter:GFP activity for 14 genes from the former group and three genes from the latter group indicating that our secondary qRT-PCR screen represented a relatively robust assay for identifying female gametophyte-expressed genes.
Initially, we generated transgenic plants carrying promoter constructs for six transcription-factor genes using untargeted, cytosolic GFP (cGFP) as a reporter (Table 1, Additional file 5). The promoter:cGFP expression patterns were primarily analyzed in the mature female gametophyte. As shown in Figures 1 and 2, all six genes showed patterns of promoter activity in one or more cells of the developing or mature female gametophyte. The activity of the AT2G22750/bHLH18 promoter was not detected in mature female gametophytes, but weak GFP activity was detected in the antipodal cells at an earlier stage of development (FG5; Figure 1A). In the mature female gametophyte, GFP activity driven by the AT5G27880 promoter was detected exclusively in the central cell (Figure 2A). The other four promoter constructs showed more complex patterns of activity with GFP expression detectable in two (AT1G49770/ZOU/RGE1/bHLH95; Figure 1B) and three (AT5G11050/MYB64, AT1G75250/RL6, and AT5G01860; Figures 1C, D and 2D) cell types of the female gametophyte. These promoter-fusion expression patterns support the results from our qRT-PCR analysis that these genes are transcribed in the female gametophyte.
Table 1.
Primary qRT screen | Secondary qRT screen | promoter:GFP expression | |||||
---|---|---|---|---|---|---|---|
AGI1 | Gene family2 | Gene name3 | Average ΔΔCT | Average ΔΔCT | P (t-test) | Ovule | Seed |
AT5G27880 | C2H2 | 6.20 | 6.63 | 0.001 | C | EN | |
AT1G60280 | NAC | NAC23 | 4.40 | 4.29 | 0.003 | S,(E) | ne |
AT5G54070 | HSF | HSFA9 | 4.46 | 4.25 | 0.002 | ||
AT5G11050 | MYB | MYB64 | 6.24 | 4.18 | 0.001 | C,(E),(S) | EN |
AT2G40220 | AP2-EREBP | ABI4 | 3.77 | 3.93 | 0.042 | E | EM |
AT2G24840 | MADS | AGL61 | 7.73 | 3.90 | 0.002 | ||
AT5G41090 | NAC | NAC95 | 4.88 | 3.81 | 0.002 | A | ne |
AT1G55600 | WRKY | MINI3/WRKY10 | 1.89 | 3.75 | 0.006 | ne | EN4 |
AT1G66390 | MYB | MYB90 | 1.77 | 3.68 | 0.071 | ||
AT5G61890 | AP2-EREBP | 1.84 | 3.07 | 0.014 | |||
AT1G21970 | CCAAT-HAP3 | LEC1 | 4.26 | 3.03 | 0.063 | ||
AT5G01860 | C2H2 | 3.60 | 2.88 | 0.002 | A,C,(E),(S) | (EN) | |
AT4G00540 | MYB | MYB3R2 | 1.81 | 2.88 | 0.019 | ||
AT1G01530 | MADS | AGL28 | 3.40 | 2.84 | 0.013 | ||
AT5G56200 | C2H2 | 5.18 | 2.62 | 0.014 | A | EN4 | |
AT1G35520 | ARF | ARF15 | 1.59 | 2.55 | 0.012 | A | ne |
AT1G67030 | C2H2 | ZFP6 | 3.73 | 2.43 | 0.029 | A | ne |
AT5G45980 | Homeobox | WOX8 | 4.51 | 2.30 | 0.006 | E | EM |
AT1G56650 | MYB | MYB75 | 1.89 | 2.26 | 0.081 | ||
AT5G58850 | MYB | MYB119 | 7.77 | 2.23 | 0.017 | ||
AT4G38070 | bHLH | 2.13 | 2.22 | 0.020 | |||
AT1G75250 | MYB-related | RL6 | 3.02 | 1.71 | 0.011 | C,E,S | EN |
AT2G33710 | AP2-EREBP | 1.85 | 1.61 | 0.002 | E,(S) | EM,EN | |
AT1G49770 | bHLH | ZOU/RGE1/bHLH95 | 2.09 | 1.61 | 0.063 | C,(S) | EN |
AT3G01030 | C2H2 | 3.81 | 1.43 | 0.010 | S,(C) | ne | |
AT1G04370 | AP2-EREBP | ERF14 | 3.24 | 1.11 | 0.096 | ||
AT2G22750 | bHLH | 2.46 | 0.80 | nd | (A)5 | ne | |
AT5G01380 | Trihelix | 1.57 | 0.06 | nd | A | ne | |
AT5G50490 | CCAAT-HAP5 | 2.11 | -0.27 | nd | C | EN |
The genes are ranked in descending order based on the average ΔΔCT value in the secondary qRT-PCR screen. Average ΔΔCT values and P values (Student's t-test) were calculated as described in Methods. GFP activity in female gametophytes was analyzed at one day after emasculation (corresponding to the mature stage of female gametophyte development, FG7 [63]) and in early-developing seeds at flower stage 16 (corresponding to endosperm stages V to VI and embryo stages from elongated zygote to two-cell embryo-proper [68,69]). A, antipodal cells; C, central cell; E, egg cell; EM, embryo; EN, endosperm; ne, no consistent expression; nd, not determined; S, synergid cells; (), weak expression.
1 Arabidopsis Genome Initiative number.
2 Based on the classification of Arabidopsis transcription-factor genes provided by AGRIS http://arabidopsis.med.ohio-state.edu/AtTFDB and DATF http://datf.cbi.pku.edu.cn.
3 Based on gene annotation provided by TAIR http://www.arabidopsis.org.
4 GFP activity was more intense in the micropylar endosperm compared to the chalazal and peripheral endosperm.
5 GFP activity was not detected at FG7 but was detected at FG5.
The cells of the female gametophyte are in close proximity especially in the micropylar pole where the egg cell is flanked by the two synergid cells and is positioned adjacent to the central cell cytoplasm [63]. Using epifluorescence microscopy, it proved difficult to unambiguously determine the cellular patterns of promoter activity for genes that showed multi-cell-type expression patterns (Figures 1C, D and 2D). In addition, our qRT-PCR analysis (Additional file 3) suggests that most of the transcription-factor genes are expressed at low levels, which would produce weak GFP signals in promoter:GFP analyses. Therefore, we generated a nuclear-localized version of GFP by fusing the coding region of an Arabidopsis histone H2B gene (HTB2, AT5G22880) to the N-terminus of a single copy of GFP (n1GFP) or to two tandemly fused copies of GFP (n2GFP) in order to increase the resolution and sensitivity of our promoter:GFP analysis.
To test the utility of the nuclear-localized GFP constructs during female gametophyte development, we generated promoter constructs for genes AT5G27880 and AT5G01860 each fused to the n1GFP and n2GFP reporter genes, and compared their expression patterns in the mature female gametophyte to those obtained with the cGFP reporter (Figure 2). Activities of both n1GFP and n2GFP driven by the AT5G27880 promoter were localized in the central cell nucleus (pAT5G27880:n1GFP and pAT5G27880:n2GFP; Figure 2B, C). In rare instances, weak antipodal expression was also observed (Additional files 5 and 6). This expression pattern agreed with the pattern obtained with the cGFP construct (pAT5G27880:GFP; Figure 2A). For the pAT5G01860:n1GFP and n2GFP fusions, strong GFP activity was detected in the central cell and antipodal cell nuclei, and weaker activity was detected in the egg cell and synergid cell nuclei (Figure 2E, F). The expression patterns obtained for the n1GFP/n2GFP constructs were similar to that of the cGFP construct except that the cGFP antipodal signals were generally weaker and only observed in rare instances (Figure 2D-F, Additional file 6). We did not detect any adverse effects of n1GFP or n2GFP expression on female gametophyte development or function (data not shown); this observation is in agreement with previous reports where histone H2B fusions with yellow fluorescent protein or GFP were used in both animal and plant model systems without any detrimental effects on viability or development [69,70]. Moreover, we did not find any qualitative differences in the patterns of expression for n1GFP versus n2GFP constructs for the same promoter sequences (Figure 2B, C, E, F). These results demonstrate that the use of n1GFP/n2GFP reporters improved the sensitivity and spatial resolution of promoter:GFP analysis for studying gene expression patterns during female gametophyte development.
We constructed promoter fusions for 18 additional genes using n1GFP (15 genes) or n2GFP (3 genes) reporter constructs (Additional file 5). Eleven promoter fusions showed diverse patterns of expression in the mature female gametophyte (Table 1, Figure 3, Additional file 5), while the remaining seven genes did not show any reproducible level of GFP activity in mature female gametophytes (Additional file 5). However, all of the latter genes showed specific expression in the seed or in the sporophytic tissues of the ovary (Additional files 5 and 7) indicating that the constructs were functional. The promoter:n1/n2GFP constructs representing 13 genes (including the two described above) exhibited consistent patterns of GFP activity in the majority of primary transgenic (T1) lines (Figures 2 and 3, Additional file 5). As shown in Figures 2 and 3, expression in one, two, or all four cell types of the female gametophyte was detected using the n1/n2GFP constructs. Single-cell-type expression in the central cell, egg cell and antipodal cells was detected for nine genes including AT5G50490 (Figure 3A), AT5G45980/WOX8 (Figure 3B), and AT5G56200 (Figure 3C), respectively. Three promoter-fusion constructs showed expression in two cell types (usually one cell type with a higher level of expression): synergid-egg cells (AT1G60280/NAC23 and AT2G33710; Figure 3D, E) and synergid-central cells (AT3G01030; Figure 3F). Finally, expression of the AT5G01860 promoter-fusion was detected in all four cell types of the female gametophyte (Figure 2E, F). Some of the constructs showed a secondary set of expression patterns in a minority of T1 lines (Additional files 5 and 6); these patterns may be attributable to the sensitivity of the n1/n2GFP reporter constructs which potentially report low levels of endogenous gene transcription not detected using previous approaches. For all reporter constructs, n1/n2GFP localization was nuclear (Figures 2 and 3, Additional file 6) except for AT5G41090/NAC95 where both nuclear and cytosolic localization patterns were observed (Additional file 6). Cytosolic localization may have resulted from an excessive amount of n2GFP fusion protein produced by a highly active promoter as the CT value for NAC95 in ms1 ovaries (26.32 ± 0.27, mean ± s.d.) was the lowest (suggesting high mRNA prevalence) among the 20 transcription-factor genes analyzed using n1/n2GFP promoter-fusion constructs (Additional file 3). Taken together, these expression patterns demonstrate that we have identified 17 transcription-factor genes that are transcribed during late stages of female gametophyte development in Arabidopsis (Table 1, Additional file 5).
Patterns of transcription-factor gene promoter activities during megagametogenesis and early seed development
Megagametogenesis and early endosperm development in Arabidopsis are characterized by a series of nuclear divisions followed by cellularization [1,2,71]. We first examined the expression patterns of our reporter constructs at developmental stages FG4 to FG5 of megagametogenesis before the mature, cellularized stage of female gametophyte development. Of the 19 genes tested, we did not detect a high level of promoter activity at these stages for most of the genes tested (data not shown) except for AT5G01860. As shown in Figure 4, the promoter activity for AT5G01860 was observed in all nuclei from developmental stages FG1 to FG5 [63] with equal signal intensity. After the fusion of polar nuclei, the level of GFP activity increased in the central cell and the antipodal cells as compared to the egg cell and the synergid cells (Figure 4E). In this case, our data indicate that the initial transcriptional activity of AT5G01860 occurs as early as the initiation of megagametogenesis and that modulation of expression in late female gametophyte stages occurs after polar-nuclear fusion and immediately prior to fertilization.
To determine if the female gametophyte-expressed transcription-factor genes are also expressed during endosperm and/or embryo development, we analyzed all of our reporter constructs at flower stage 16 [68], which corresponds to stages V (16-nucleate stage) to VI (~30-nucleate stage) of endosperm development and in the elongated zygote to two-cell embryo-proper stage of embryogenesis [68,69]. We observed consistent embryo and/or endosperm expression for 12 promoter-fusion constructs (Additional file 5). The majority of the reporter constructs (7 genes; Additional file 5) showed a relatively uniform pattern of expression in the endosperm when assayed using cGFP (ZOU; Figure 5A) or nuclear-localized GFP (AT5G50490; Figure 5B) while reporter constructs for genes AT1G55600/MINI3 and AT5G56200 showed preferential GFP activity in the micropylar endosperm (Figure 5C, Additional file 5). With two genes, WOX8 and AT2G40220/ABI4, expression was observed in early embryos with very low or no detectable activity elsewhere in early seeds (Figure 5D, Additional file 5). Finally, the AT2G33710 promoter-fusion construct showed expression in both the embryo and endosperm (Figure 5E). Of the 17 transcription-factor genes expressed in the female gametophyte, 10 showed consistent expression in the seed (Table 1). Together, our analysis indicates that a significant portion of the female gametophyte-expressed transcription-factor genes are also transcribed during early seed development.
Discussion
Utility of our qRT-PCR-based differential-expression screen
We performed a two-step qRT-PCR screen to identify transcription-factor genes with reduced mRNA levels in dif1 ovaries compared to ms1 ovaries. In the primary screen, 69 genes were identified as dif1 down-regulated (reduced levels in dif1 as compared to ms1) while 58 genes were identified as dif1 up-regulated (Additional files 1 and 2). Although dif1 and ms1 ovules are apparently indistinguishable in terms of integument morphology [56], the other sporophytic organs/tissues of the dif1 ovaries may show altered gene expression patterns due to the absence of the female gametophyte. Therefore, in addition to the female gametophyte-expressed genes that are of primary interest to this study, the dif1-down-regulated genes might include sporophyte-expressed genes that are induced by the female gametophyte. While this is an unlikely possibility for all of the transcription-factor genes assayed, the promoter-fusion assays were designed, in part, to address this issue (Additional file 4). On the other hand, the dif1-up-regulated genes may include genes that are normally repressed in the ovary by the female gametophyte. Although sporophyte-expressed genes of this type are not the focus of this study, these transcription-factor genes, once confirmed, could represent important developmental regulators mediating the communication between the female gametophyte and the surrounding sporophytic organs and tissues.
Of the 69 dif1-down-regulated genes, 26 genes were further validated in an additional series of qRT-PCR assays (secondary screen) under more stringent PCR conditions (Additional file 3). We and others previously used microarray-based differential expression screens to identify a total of 63 unique transcription-factor genes with reduced mRNA levels in the ovules or pistils of spl, coa or dif1 mutant plants (Additional file 8) [54,56,57]. An additional screen comparing dif1 ovules to fertilized wild-type seeds led to the identification of another five transcription-factor genes (Additional file 8) [55]. However, there is no significant overlap in the detection of genes among the published microarray-based screens and the present study (Additional file 8). This discrepancy may be attributed, in part, to differences in sampling of the material (e.g., ovules versus ovaries), the developmental staging of the material (e.g., mature versus developing female gametophytes), or any effect the mutations might have had on the sporophytic tissues of the sampled material (i.e., ovule, ovary, seeds or pistil). A direct comparison of the approaches awaits further confirmation of the expression of the candidate genes.
Of the 24 novel genes identified in this study (Additional files 3 and 8) [54-57], 13 genes were analyzed using promoter fusions with 12 showing transcriptional activity in the female gametophyte (Table 1). Such a high proportion of validated genes suggests that the majority of the original 24 genes uniquely identified in our qRT-PCR screen are likely transcribed in the female gametophyte. The failure to identify these 24 genes in the previous studies could be due to low mRNA levels that are below the detection limits of the microarray assays. This conclusion is supported by our observation that the majority of these 24 genes showed relatively high CT values (low mRNA levels) in ms1 ovaries: 22 genes displayed normalized CT values above 28 (Additional file 3), while the two genes (MYB64 and NAC95) identified in the previous microarray studies displayed CT values between 26 and 28 (Additional file 3). Taken together, our results demonstrate that our qRT-PCR-based differential expression screen is sensitive enough to detect low-prevalence mRNAs of transcription-factor genes in the female gametophyte.
Identification of transcription-factor genes expressed in the female gametophyte
We tested 15 of the 26 transcription-factor genes exhibiting reduced mRNA levels in dif1 ovaries in our qRT-PCR-based screen (Additional file 3) using promoter:GFP fusions and confirmed that 14 are transcribed within the female gametophyte (Table 1, Figures 1, 2, and 3). The single non-expressing-promoter construct (MINI3) may not have contained all the cis-regulatory sequences required for proper expression in the female gametophyte. Of the 11 genes that were not tested using promoter fusions, one (AGL61) had been isolated using a similar differential screen and its promoter activity in the female gametophyte had been described previously [7,9]. Therefore, it is likely that most of the remaining untested genes are also expressed in the female gametophyte. In addition, we tested nine genes below the statistical threshold of the secondary screen using promoter fusions (Additional file 5). Three exhibited female gametophyte expression (Table 1, Figures 1A and 3A), suggesting that additional female gametophyte-expressed genes can be identified in this group. Of a total of 17 genes exhibiting female gametophyte expression, 10 were predominantly transcribed in a single cell type: the egg cell (2 genes), the central cell (2 genes), or the antipodal cells (6 genes; Table 1). The remaining seven genes were transcribed in multiple cell types within the female gametophyte (Table 1).
Our analyses uncovered novel patterns of transcription-factor gene activity in the female gametophyte and during early seed development. We also confirmed some previously described patterns of gene activity, supporting our general approach to identifying low-prevalence transcription-factor mRNAs in the female gametophyte. Six transcription-factor genes displayed strong promoter:GFP activity exclusively (AT5G50490 and AT5G27880) or predominantly (ZOU/RGE1, RL6, AT5G01860, and MYB64) in the central cell and also in the endosperm (Table 1; Figures 1B-D, 2, 3A and 5A, B). Among these, ZOU/RGE1/bHLH95 encodes a bHLH transcription factor that has been proposed to regulate endosperm adhesion and breakdown which, in turn, is required for the proper epidermal development of the embryo [72,73]. Our promoter-fusion analysis suggests that ZOU/RGE1 is transcribed in the central cell, the synergid cells, and the endosperm (Table 1; Figures 1B and 5A). This differs from the previous reports where expression of ZOU/RGE1 was only observed in the endosperm [72,73]. The discrepancy may be due to different promoter lengths and the type of reporter genes used in the studies. RL6 encodes a MYB-related transcription factor expressed in the micropylar endosperm [74]. The expression patterns of the remaining four "central cell-endosperm" genes (AT5G01860, AT5G27880, AT5G50490, and MYB64) have not been described previously. However, supporting our promoter-reporter data, an analysis of the publicly available microarray data using Genevestigator indicates mRNA accumulation for AT5G01860 and MYB64 in the endosperm https://www.genevestigator.com.
In contrast to the genes with transcriptional activity in both the central cell and the endosperm, we detected endosperm expression for three genes that showed no expression in the central cell (Table 1, Figure 5C, E). The transcriptional activity of AT5G56200 or AT2G33710 has not been described previously. However, available microarray data indicate mRNA accumulation for both genes in laser-captured endosperm samples https://www.genevestigator.com[75]. MINI3 encodes a WRKY transcription factor that has been shown to regulate endosperm growth and cellularization [76]. We detected MINI3 promoter activity in the endosperm but not in the female gametophyte (Table 1) in agreement with a previous report [76].
Three transcription-factor genes exhibited strong promoter:GFP activity exclusively (ABI4 and WOX8) or predominantly (AT2G33710) in the egg cell (Table 1, Figure 3B, E). All three were expressed in the embryo after fertilization (Table 1, Figure 5D, E). ABI4 is primarily expressed in the embryo during seed maturation and encodes an AP2-EREBP transcription factor required for ABA and sugar signaling during seed development and germination [77-79]. Transcription of ABI4 in the egg cell has not been reported previously. WOX8 encodes a homeobox transcription factor that is involved in regulating early embryo development [80-82]. Using in situ hybridization, WOX8 mRNA has been localized to the egg cell and the basal-cell lineage of the developing embryo [80]. However, our WOX8 promoter fusion showed expression in both the apical and basal cell lineages of the embryo (Figure 5D). This construct may not contain all of the cis-regulatory elements required for proper transcription of the reporter gene including elements to suppress transcription in the apical cell lineage. Alternatively, WOX8 mRNA may be degraded preferentially in the apical-cell lineage or be redistributed to the basal cell upon the first zygotic division as has been suggested previously [80]. We also detected reduced mRNA levels in dif1 ovaries for AT5G54070/HSFA9 and AT1G21970/LEC1 (Table 1) previously shown to be required for embryogenesis [83,84]. Transcriptional patterns of these two genes in the female gametophyte remain to be determined.
We found that among the 17 transcription-factor genes active in the female gametophyte, nine genes are highly transcribed in the synergid or the antipodal cells (Table 1), the two cell types of the female gametophyte that do not give rise to any cells or tissues of the developing seed. The promoter fusions for NAC23 and AT3G01030 were expressed predominantly in the synergid cells with weak expression in the egg cell or the central cell (Table 1). This is essentially similar to the expression pattern observed for MYB98 [22,85]. We found that RL6 is also expressed in the synergid cells, the central cell, and the egg cell (Table 1). MYB98 has been shown to control at least a portion of the gene regulatory network required for proper synergid cell differentiation [26]. Therefore, NAC23, AT3G01030 and RL6 may constitute additional components of the same or a larger network controlling synergid cell differentiation and function. At the opposite, chalazal pole, we have identified six transcription-factor genes that are highly expressed in the antipodal cells (Table 1, Figures 2E, F and 3C). The function of these genes is not known. Among them, AT1G35520/ARF15 might play a role in the transcriptional regulatory networks responding to the plant hormone auxin, which has been shown recently to regulate cell fate specification in the female gametophyte [86].
Among the 26 transcription-factor genes we have described here (Additional file 3), only one gene (AGL61) previously had been shown to be functionally required in the female gametophyte [7,9]. It is possible that gene redundancies or functional compensations may have precluded isolation of these transcription-factor genes in genetic screens for female-gametophyte mutants. This hypothesis is supported by the observation that some of the genes identified in this study are structurally similar. For example, three (AT1G67030, AT5G01860, and AT5G27880) of the five C2H2-type transcription-factor genes we identified are closely related homologues [87]. Interestingly, a number of the female gametophyte-expressed transcription-factor genes isolated in this study (see above) have been shown to be required after fertilization [72,73,76-84,88-91]. It remains to be determined whether they perform any function in the female gametophyte as individual genes, or as members of multi-gene families with complex expression programs encompassing both the gametophytic and the zygotic portions of the plant life cycle.
Conclusions
To begin to identify the gene-regulatory networks controlling angiosperm female gametophyte development, we performed a large-scale qRT-PCR-based differential expression screen of nearly all transcription-factor genes in Arabidopsis ovaries. Compared to microarray-based methods [54-57], our approach proved to be more sensitive and allowed the identification of 26 transcription factor genes, the majority of which previously had not been identified as female gametophyte-expressed genes. We further confirmed transcriptional activity of 17 genes in the female gametophyte using promoter-fusion analyses. Using a nuclear-localized GFP reporter, we have developed female gametophyte-cell-specific marker lines well suited for monitoring individual cell fates during female gametophyte development and early seed development. Transcription factors are at the center of gene regulatory networks and perform essential regulatory roles in development and cell differentiation [33]. The transcription-factor genes identified in this study can be used to dissect the gene regulatory networks in the female gametophyte through a combination of genetic and molecular approaches, ultimately enabling a better understanding of the molecular mechanisms that control female gametophyte development and function during plant reproduction.
Methods
Plant material and growth conditions
The dif1-2 and ms1-1 mutant alleles, initially isolated in the Landsberg erecta (Ler) background [60,67], were backcrossed four and seven times, respectively, to Ler. Plant transformations were performed with the Columbia-0 (Col-0) ecotype. Arabidopsis plants were grown at 22°C under continuous light or 16-hr light/8-hr dark photoperiod as described previously [19,56].
Tissue collection, RNA isolation and cDNA synthesis
Homozygous dif1 and ms1 mutant plants were identified based on their male-sterile phenotype among the progeny from a self-fertilization of dif1/+ and ms1/+ parents [60,66,67,92]. Ovaries were collected from dif1 and ms1 mutant plants by removing the stigma and style from the pistils harvested at flower stages 12C [63] to 13 or 14 [68]. Seven pairs of dif1 and ms1 RNA samples were used in this study (Additional file 9). Each RNA sample was extracted from 100 to 150 ovaries using the RNeasy® Plant Mini Kit (Qiagen, Hilden, Germany) or TRIzol® Reagent (Invitrogen, Carlsbad, USA) and purified with the RNeasy® MinElute Cleanup Kit (Qiagen) after a treatment with TURBO DNase (Ambion, Austin, USA) to remove any genomic DNA. The purified RNAs were then reverse transcribed with Oligo-dT primers using the RETROscript® Kit (Ambion) or SuperScript III Reverse Transcriptase (Invitrogen) following the manufacturer's instructions. For most samples, first-strand cDNA was further purified using the MinElute® PCR Purification Kit (Qiagen) after an RNase H treatment (New England Biolabs, Beverly, USA).
Primer design
The majority of the primer-pairs (1,356 out of 1,482) used in the primary qRT-PCR screen (Additional file 1) were described previously [93]. The rest of the primer-pairs were designed de novo, including primers for 70 additional transcription-factor genes annotated by the Arabidopsis Gene Regulatory Information Server http://arabidopsis.med.ohio-state.edu[94,95] or the Database of Arabidopsis Transcription Factors http://datf.cbi.pku.edu.cn[96]. The same primers were used in the secondary qRT-PCR screen with the exception of 17 primer-pairs, which were redesigned to ensure specific PCR amplification (Additional file 3). The primer sequences were designed based on gene structure models at the Arabidopsis Information Resource http://www.arabidopsis.org (TAIR) using LightCycler Probe Design Software 2.0 (Roche, Mannheim, Germany) and by setting the primer melting temperature at 60°C. The amplicon sizes ranged between 68 and 261 bp. The transcription-factor genes analyzed in this study and the corresponding primer-pair sequences are listed in Additional files 1 and 3. Based on analysis of melting curves (see below), 94.7% of the primer pairs produced a single identical PCR product for each pair of ms1-dif1 qRT-PCR reactions, indicating that a significant majority of the primer pairs were gene specific under our experimental conditions (Additional file 1).
Quantitative RT-PCR experimental setup and data analysis
Quantitative RT-PCR was performed using a LightCycler 1.5 instrument in a 32-capillary format (Roche). The PCR program for the primary screen consisted of an initial denaturing step at 95°C for 5 min, followed by 45 cycles at 95°C for 15 s, 60°C for 15 s, and 72°C for 10 s. The cycle parameters were changed to 95°C for 10 s, 60°C for 5 s, and 72°C for 10 s in the secondary screen in order to increase the stringency of the PCR reactions. Standard melting-curve analysis provided by the instrument manufacturer was performed after each PCR run to determine whether a single PCR product was amplified in each reaction and whether the same product was amplified from both ms1 and dif1 cDNA sources. The CT values were calculated using the standard approach provided in the LightCycler software 4.0 package (Roche).
To determine whether ACT2 is a suitable reference gene, levels of ACT2 mRNA were quantified with qRT-PCR in three independent pairs of ms1 and dif1 RNA samples. All experimental procedures from reverse transcription to qRT-PCR analysis were conducted side-by-side using the same amount of RNA. The CT values for ACT2 in ms1 (18.39 ± 0.29, mean ± s.d.) and dif1 (18.40 ± 0.17, mean ± s.d.) RNAs did not differ significantly (P = 0.93, paired Student's t-test), indicating that the level of ACT2 mRNA in the ovary is not affected by the absence of the female gametophyte.
Each qRT-PCR run consisted of 16 pairs (dif1 and ms1) of 10-μl reactions containing 2.5 or 5.0 pmol of primers and an aliquot of the master mix, which was assembled by combining the dif1 or ms1 cDNA with the master mix from the LightCycler® FastStart DNA MasterPLUS SYBR Green I Kit according to manufacturer's instructions (Roche). The amount of cDNA used in the master mix was adjusted so that each reaction contained cDNA from 10-15 ng of total RNA. To account for the variation in template concentration between PCR runs, each run contained a pair of ms1- dif1 reactions for ACT2, which was used to normalize the CT values of the target genes analyzed in the same run (normalized CT, target = CT, target - CT, ACT2 +19). The majority of the qRT-PCR runs produced CT values around 19 for ACT2. The amount of cDNA template for a specific transcription-factor gene was considered negligible when the CT value was at or above 36. Therefore, the normalized CT values were manually cut off at 36. Differences in mRNA levels between ms1 and dif1 RNA samples were calculated using the -ΔΔCT method [97] where ΔΔCT = normalized CT, dif1 - normalized CT, ms1.
We have previously shown that qRT-PCR is sensitive enough to detect reduced MYB98 mRNA level in dif1 versus wild-type pistils [22]. Therefore, a pair of ms1- dif1 reactions for MYB98 was included in each PCR run as a positive control. All seven pairs of ms1- dif1 RNA samples used in this study exhibited significantly higher levels of MYB98 mRNA in ovaries from ms1 as compared to dif1 mutant plants (P< 2.50E-05, Student's t-test; Additional file 9).
In the primary screen, the majority of genes (1,265 out of 1,482) were analyzed once, and the ΔΔCT was calculated as described above. Additional replicates using either the same or different RNA samples were conducted for the remaining 217 genes, and an average ΔΔCT was calculated by averaging data from technical replicates followed by averaging the resulting means for biological replicates. Calculation of the Pearson correlation coefficients and the Student's t-test were performed using the corresponding functions in Excel (Microsoft, Redmond, USA).
Promoter-fusion constructs
Four binary transformation vectors (pBI-GFP[S65T] [98], pBI-1GFPB, pBI-n1GFP, and pBI-n2GFP) were used in the construction of promoter fusions with reporter genes GFP, n1GFP, and n2GFP (Additional file 10); these vectors were generated as follows. A synthetic linker containing multiple cloning sites (5'- aagcttcctgcaggttaacagtactcacgtgaggcctactagtgagctcggtaccctcgaggtcgactctagaggatcc-3') was cloned into the pBI-GFP[S65T] vector [98] between HindIII and BamHI sites resulting in pBI-1GFP.
The GFP coding region was amplified from pBI-GFP[S65T] [98] with the forward primer (5'-caaacaacgggatccatggtgagcaagggcgag-3') and the reverse primer encoding an (Ala)8 linker (5'-aaaaaaagaagatctagcagcagcagcagcagcagcagccttgtacagctcgtccatgc-3'). The PCR product was then digested with BamHI and BglII and inserted into the BamHI (compatible with BglII) site of pBI-1GFP resulting in pBI-2GFP.
Two DNA oligonucleotides (5'-tcgactctagaggatccggccggcctggaggtggaggtggagcta-3' and 5'-gatctagctccacctccacctccaggccggccggatcctctagag-3') were annealed to generate a linker with SalI/BglII (5'/3') cohesive ends, which contained an XbaI and a BamHI site upstream of sequences encoding the peptide GlyArgPro(Gly)5Ala. This linker was then cloned into pBI-1GFP between SalI and BamHI sites resulting in pBI-1GFPB.
The coding region of the HTB2 gene was amplified from Col-0 genomic DNA with the forward primer HTB2F (5'-gactcgggatccatggcgaaggcagataagaaacc-3') and the reverse primer HTB2R2 encoding an (Ala)4 linker (5'-gaaaaaaagaagatctagcagcagcagcagaactcgtaaacttcgtaaccgc-3'). Two silent mutations (ATC60 to ATA and CTT101 to CTG) were introduced via a series of PCR reactions to remove HindIII and BglII sites from the coding region of HTB2. To do this, the coding region of HTB2 was amplified as two separate fragments using primer pairs HTB2F plus HTB2LUR2 (5'- cttgcttcaacaccttgaagatgtaTatcttgtatgtctcaacgttcttc -3', the mutagenized nucleotide is uppercase), and HTB2LDF2 (5'- gaagaacgttgagacatacaagatAtacatcttcaaggtgttgaagcaag -3') plus HTB2R2. The two fragments were then fused through an overlap-extension PCR [99,100] using the primer pair HTB2F plus HTB2R2 resulting in a full-length HTB2 PCR product containing the mutation ATC60 to ATA. This product was further mutagenized by repeating the steps described above with a different set of primers: HTB2F plus HTB2LUR (5'- ggcttcttgttgtacctcgcCagcttcgaagactcaccagc -3') and HTB2LDF (5'- gctggtgagtcttcgaagctGgcgaggtacaacaagaagcc -3') plus HTB2R2. The resulting PCR product containing both mutations was digested with BamHI and BglII and inserted into the BamHI site of pBI-1GFP and pBI-2GFP resulting in pBI-n1GFP and pBI-n2GFP, respectively.
For each transcription-factor gene analyzed, promoter regions containing between 800 and 2,700 bp of the upstream and between 9 and 39 bp of the downstream sequence to the translation start site were amplified from Col-0 genomic DNA using primers containing restriction sites or homologous recombination sites (Additional file 10). The PCR products were inserted into pBI-GFP[S65T] [98], pBI-1GFPB, pBI-n1GFP, or pBI-n2GFP using conventional cloning procedures based on restriction digestion or through the use of the In-Fusion technology according to manufacturer's instructions (BD Biosciences, Heidelberg, Germany) as indicated in Additional file 10. The PCR amplifications were performed using PfuUltra (Stratagene, La Jolla, USA) or ExTaq (Takara, Otsu, Japan) DNA polymerases. All promoter-vector junctions were verified by sequencing.
Plant transformation
Arabidopsis plants were transformed as described previously [19,56] with Agrobacterium tumefaciens strains GV3101 pMP90 [101] or LBA4404 [102] containing the GFP binary vectors using the standard floral dip method [103]. The presence of the transgene in each T1 plant was confirmed using PCR.
Analysis of gene-promoter activity
GFP activity within the mature female gametophyte was analyzed one day after emasculation as previously described [56]. Expression patterns during early female gametophyte development were analyzed in ovules from floral stages 12B to 13 [63,68] containing female gametophytes at developmental stages FG1 to FG6 [63]. Seeds were analyzed in self-fertilized siliques at floral stage 16 [68] containing early nuclear stages of endosperm development [69]. Promoter activity within the mature female gametophyte was analyzed in T1- or T2-generation plants. Between 5 and 16 T1 lines per construct (Additional file 5) were examined to verify the expression patterns described above. Transformation of plants with promoter-less pBI-n1GFP or pBI-n2GFP vectors did not produce any detectable levels of GFP activity above background in the relevant tissues.
Image acquisition and processing were carried out as described previously [19,56]. In brief, the bright-field and epifluorescence images of ovules and young seeds were captured using either a MicroFire CCD camera (Optronics, Goleta, USA) or an AxioCam MRm REV2 camera (Carl Zeiss, Jena, Germany) attached to an Axiophot or an Axioplan compound epifluorescence microscope (Carl Zeiss) equipped with an enhanced GFP bandpass filter (filter set 38 HE EGFP, exciter 450-490 nm, dichroic 495 nm, emitter 500-550 nm; Carl Zeiss). Image processing, including creation of the overlays of epifluorescence and bright-field images, was performed using Photoshop CS (Adobe Systems Inc., San Jose, USA).
Authors' contributions
GND, RY and KSS conceived the research, supervised and coordinated all research activities. DW, CZ, DJH, I-HK and JAP carried out qRT-PCR reactions. CZ and DJH generated transcription factor promoter constructs. CZ, DW and MIS generated and analyzed transgenic lines. DW, RY, KSS and GND analyzed all data and wrote the manuscript. All authors read and approved the final manuscript.
Supplementary Material
Contributor Information
Dongfang Wang, Email: dwang1@ag.arizona.edu.
Changqing Zhang, Email: cqzhang@mail.utexas.edu.
David J Hearn, Email: DHearn@towson.edu.
Il-Ho Kang, Email: ihkang@iastate.edu.
Jayson A Punwani, Email: punwani@email.unc.edu.
Megan I Skaggs, Email: mskaggs@u.arizona.edu.
Gary N Drews, Email: drews@biology.utah.edu.
Karen S Schumaker, Email: schumake@ag.arizona.edu.
Ramin Yadegari, Email: yadegari@email.arizona.edu.
Acknowledgements
We thank Josh Steffen for providing the GFP images of MYB64 and RL6 promoter analyses. We also thank Lauren Bergstrand, Mayuko Ikehara and Batool Hosseinpour for their technical assistance in generation and analysis of the transgenic Arabidopsis lines. This work was supported by an Arabidopsis-2010 Project grant from the U.S. National Science Foundation (IOS-0520008).
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