Skip to main content
PMC home page
BMC Plant Biology logoLink to BMC Plant Biology
. 2013 Jul 9;13:99. doi: 10.1186/1471-2229-13-99

Progressive 35S promoter methylation increases rapidly during vegetative development in transgenic Nicotiana attenuata plants

Arne Weinhold 1,✉, Mario Kallenbach 1, Ian Thomas Baldwin 1
PMCID: PMC3716894  PMID: 23837904

Abstract

Background

Genetically modified plants are widely used in agriculture and increasingly in ecological research to enable the selective manipulation of plant traits in the field. Despite their broad usage, many aspects of unwanted transgene silencing throughout plant development are still poorly understood. A transgene can be epigenetically silenced by a process called RNA directed DNA methylation (RdDM), which can be seen as a heritable loss of gene expression. The spontaneous nature of transgene silencing has been widely reported, but patterns of acquirement remain still unclear.

Results

Transgenic wild tobacco plants (Nicotiana attenuata) expressing heterologous genes coding for antimicrobial peptides displayed an erratic and variable occurrence of transgene silencing. We focused on three independently transformed lines (PNA 1.2, PNA 10.1 and ICE 4.4) as they rapidly lost the expression of the resistance marker and down-regulated transgene expression by more than 200 fold after only one plant generation. Bisulfite sequencing indicated hypermethylation within the 35S and NOS promoters of these lines. To shed light on the progress of methylation establishment, we successively sampled leaf tissues from different stages during plant development and found a rapid increase in 35S promoter methylation during vegetative growth (up to 77% absolute increase within 45 days of growth). The levels of de novo methylation were inherited by the offspring without any visible discontinuation. A secondary callus regeneration step could interfere with the establishment of gene silencing and we found successfully restored transgene expression in the offspring of several regenerants.

Conclusions

The unpredictability of the gene silencing process requires a thorough selection and early detection of unstable plant lines. De novo methylation of the transgenes was acquired solely during vegetative development and did not require a generational change for its establishment or enhancement. A secondary callus regeneration step provides a convenient way to rescue transgene expression without causing undesirable morphological effects, which is essential for experiments that use transformed plants in the analysis of ecologically important traits.

Background

Transgenic plants have become an essential component in ecological research, allowing the precise study of gene functions under field conditions [1-3]. Despite progress in the development of more efficient transformation techniques, the unpredictable and stochastic occurrence of transgene silencing and epigenetic alternations after the tissue culture step remain unsolved problems for most plant species [4-7]. Basically two forms of gene silencing have been described, transcriptional gene silencing (TGS), in which gene expression is directly blocked, and posttranscriptional gene silencing (PTGS) in which mRNA is degraded [8]. PTGS has been exploited as a very powerful tool for reverse genetic studies and is revolutionizing plant ecology, particularly for non-model plants, where the introduction of “silencing-constructs” in self-compatible inverted repeat (IR) or antisense (AS) orientations enables the targeted silencing of endogenous genes in trans[9-12]. Unfortunately, this process can be undermined by unwanted TGS, if the promoter of the transgene is de novo methylated, thereby diminishing the expression of the silencing-construct [13-17]. De novo DNA methylation can be highly sequence-specific for a transgene, as a result of the process called RNA-directed DNA methylation (RdDM) [17-20]. However, the pattern of establishment and prerequisites for the methylation process remain elusive [21]. Characteristic symptoms of unwanted transgene silencing are spatially variegated or transient gene expression levels, patterns which have been observed in several different plant taxa including Nicotiana tabacum[22-24], Petunia hybrida[25,26], Arabidopsis thaliana[27,28], Gentiana triflora X G. scabra[29] and even in some transgenic woody plants such as grapevine (Vitis spp.) [30] and birch trees (Betula platyphylla) [31].

The wild tobacco (N. attenuata Torr. ex S. Watson) is an annual plant, native to the Great Basin Desert in the western United States and is used as a model organism to study traits important for survival under real world conditions, in particular the role of jasmonic acid (JA) in plant defense against herbivores [32]. N. attenuata has been frequently transformed with many different sense-expression, inverted repeat (IR) or antisense (AS) silencing-constructs to manipulate different layers of plant defense for field studies of gene function [1,33-37]. A stably transformed plant is only useful for ecological experiments if the transgene-altered phenotype remains stable over the entire period of plant development. In the glasshouse the life cycle of N. attenuata takes about 70–80 days until the plant produces seeds and develops from a vegetative rosette-stage, through stalk elongation, into the generative flowering phase. Over the course of development the plant reconfigures its defense strategy from largely inducible to constitutive deployment of various jasmonate-mediated chemical defenses [38]. Transgenerational phenotypic stability is also essential if different lines are to be crossed to combine traits so that parental phenotypes can be faithfully transmitted in a hemizygous state to the subsequent hybrid generations. The N. attenuata line ir-ACX1 was created to suppress a particular step in the JA biosynthesis pathway due to the silencing of the endogenous acetyl-CoA-transferase 1 (acx1), but as recently shown the ability to suppress JA accumulation was lost when T3 generation plants were used during a field experiment [37]. Similar findings of leaky or lost phenotypes in N. attenuata lines have been reported in other studies [34,36] highlighting the importance of the early detection of “unstable” plant lines.

The methylated form of cytosine was discovered more than 60 years ago [39], but despite the very high amounts found in wheat seedlings, it was long considered only as a “minor base” in plant genomes [40]. Its importance in epigenetic gene regulation is increasingly being recognized, but the overall process remains poorly understood [41-44]. If a genomic sequence functions as a promoter, de novo methylation can lead to transcriptional silencing of the downstream gene [45,46]. Cytosine methylation plays an important role in many cellular processes such as tissue-specific gene expression, embryogenesis or genomic imprinting [47]. Nevertheless, its generally accepted main function in plants is in the control of “invasive elements” such as transposons or viral sequences [48-50]. In contrast to mammals, plants not only methylate cytosines in CG dinucleotides, but also in all other possible sequence contexts at CHG and CHH positions (where H = A,T or C) [46,51]. The symmetric DNA methylation patterns at CG and CHG sites can be sustained during semiconservative DNA replication and are therefore somatically and even meiotically stable [52,53]. A methylation at the CHH position is called asymmetric, because it has no mirror position on the complementary DNA strand and hence will be lost during the DNA replication process. For maintenance during mitosis, an asymmetric site needs therefore a constant signal as a permanent de novo methylation trigger [18,45,46,54]. Although most aspects of epigenetic inheritance are understood, somatic cells are considered to be relative static and the principles of methylation establishment in vegetative grown plants remain unclear [21,46,55-57].

The aim of this study was to illuminate the timing of the transgene inactivation process and to summarize our strategy for an optimized selection of N. attenuata plants with desired, stable phenotypes in a set of antimicrobial peptide expressing lines. Since a combination of TGS and PTGS effects can lead to a progressive shutdown of transgene expression [15,58-60], we were interested in finding early indicators and methods to avoid or even predict unwanted transgene silencing in the wild tobacco N. attenuata.

Results

Non-Mendelian segregation of the resistance marker as the first indicator of transgene silencing

To be able to work with N. attenuata lines that constitutively express antimicrobial peptides under a 35S promoter, we created eleven different transformation vectors containing eleven different antimicrobial peptide genes (see Methods section for details). From each construct more than 10 independent transformed plant lines were created and in total the segregation data of 113 plant lines were observed over three generations of inbreeding. For a high probability in selecting stable expressing plant lines, we used the optimized screening protocol described in Gase et al.[61]. This includes the use of flow cytometry (for ploidy analysis), diagnostic PCRs (to confirm completeness of the insert), qRT-PCR (for gene expression analysis) and southern blotting (for detection of insertion number). The segregation analysis of the resistant marker provides not only information about zygosity but can additionally reveal independent segregating loci and the occurrence of unwanted transgene silencing very early in the screening process. A regenerated T0 plant should ideally harbor only one T-DNA copy in a single locus, which is usually inherited as a simple, dominant Mendelian trait. According to Mendel’s law of independent assortment [62], offspring derived from self-pollination would show an expected 3:1 ratio, with 25% of the seedlings sensitive to hygromycin. From our segregation data of 113 independently transformed N. attenuata lines most of the seedlings showed hygromycin sensitivity in the calculated range (Figure 1). We considered all seedlings with 10–50% sensitivity as being offspring from a hemizygous mother plant and selected only these for further inbreeding (Figure 1A indicated in black). Epigenetic mechanisms could lead to deviations from Mendelian segregation ratios and all seedlings with unusual high numbers of sensitivity (>50%) were therefore excluded from further screening [61]. In the second generation (T2), we usually seek seedlings with 0% sensitivity, indicating that they originated from a homozygous plant (Figure 1B). As a selection criterion, all sibling plants of the same line should not deviate from any of the expected ratios and show also 0% or 10–50% sensitivity. The occurrence of a single plant with non-Mendelian segregation (>50%) would lead to an exclusion of the entire transgenic line. In the T3 generation, the progenies from the homozygous plants were again tested for stability and any newly occurring segregation led to the exclusion of the line (Figure 1C).

Figure 1.

Figure 1

Open in a new tab

Segregation analysis of resistance marker loci in Nicotiana attenuata. Histogram of the sensitivity rates of 113 independently transformed N. attenuata lines due to segregation of the resistance marker gene monitored over three generations (T1–T3), overlaid with smoothed density plots. Seedlings with a sensitivity rate between 10–50% were considered to descend from a hemizygous plant. More than 50% sensitivity was interpreted as gene silencing of the hygromycin B resistance marker and a sensitivity rate around 6.25% indicated two independent segregating loci. A, Sensitivity rates of T1 seedlings collected from 113 independently transformed T0 plant lines. Seedlings with the desired sensitivity rate between 10–50% were chosen for further inbreeding (indicated in black). B, Sensitivity rates of T2 seedlings collected from 951 T1 plants. The offspring of nine to ten plants were analyzed per plant line. Descendants from homozygous plants (0% sensitivity) were chosen for further inbreeding (indicated in black). C, Sensitivity rates of T3 seedlings collected from 149 T2 plants homozygous to the transgene. Any occurring sensitivity to the resistance marker was considered as gene silencing. Desired plant lines with sustained resistance were indicated in black.

The majority of seedlings of the more than 1200 analyzed plants segregated within the expected ranges, nevertheless 12 of 113 lines (11%) were excluded in the T1 stage, 22 of 94 (23%) in the T2 stage and 15 of 70 (21%) in the T3 stage, due to non-Mendelian segregation patterns. Altogether 43% of the antimicrobial peptide expressing N. attenuata lines were excluded for this reason. The T3 seedlings from three independent lines (PNA 1.2, PNA 10.1 and ICE 4.4.) indicated nearly a complete loss of resistance, with sensitivity rates comparable to wild-type seedlings. Because of this drastic and uniform switch within only one plant generation, these three lines provided the opportunity to further investigate the otherwise unpredictable occurrence of gene silencing.

Variability in transgene expression precedes loss of resistance

To select appropriate transgenic lines with high levels of transgene expression, we routinely analyze homozygous T2 plants by qRT-PCR during the screening process. As an example, we show the transgene expression profiles for three antimicrobial peptides (PNA, ICE and FAB) in 14 independently transformed N. attenuata lines (see Methods section for details). Several plant lines showed the desired high and uniform levels of gene expression, whereas others showed low or variable gene expression levels among independently transformed lines expressing the same constructs (Figure 2A). The offspring of these plants was tested on hygromycin containing media, to confirm enduring resistance within the T3 seedlings (Figure 2B). Of particular interest were lines ICE 4.4, PNA 1.2 and PNA 10.1, because they nearly completely lost hygromycin resistance in the T3 generation and before this, showed even variable expression of the antimicrobial peptide genes in the T2 (Figure 2).

Figure 2.

Figure 2

Open in a new tab

Comparison of transgene expression and the subsequent loss of hygromycin resistance. A, Gene expression analysis in homozygous plants of 14 independent N. attenuata lines expressing three different antimicrobial peptides (PNA, ICE and FAB). Transcript abundance was determined by qRT-PCR on cDNA of rosette-stage leaves in T2 plants. Bars indicate the ΔCT mean expression (log2 fold expression) relative to actin as the reference gene (±SD, n = 3 plants). The independent transgenic lines showed different strengths of transgene expression, with occasionally low or variable pattern in certain lines. B, Hygromycin sensitivity of T3 seedlings (direct descendants of the plants used for gene expression). Per plant, 60 seeds were germinated on a hygromycin containing GB5 medium (±SD, n = 3 plants). Homozygous plants should be fully resistant and show 0% sensitivity. The X-axis indicates line number and genotype.

To analyze how much a complete loss of resistance correlates with the downregulation of the neighboring transgene, we compared expression levels in both generations (T2 and T3) from lines PNA 1.2, PNA 10.1 and ICE 4.4. To ensure similar growth conditions, the germination was performed on hygromycin-free media and lines showing stable transgene expression (PNA 8.6.1 and ICE 1.1.1) were included as positive controls. The expression analysis again revealed a very high plant-to-plant variability in the T2 stage (Figure 3A), but also a very strong down-regulation of gene expression in the T3 generation. This was consistent with the observed loss of hygromycin resistance (Figure 3B). Comparing the T2 and T3 stage, plants of line ICE 4.4.1 showed a 41 fold (10–73), lines PNA 1.2.1 a 268 fold (63–472) and lines PNA 10.1.1 a 210 fold (51–370) reduced transgene expression, respectively (Figure 3A, Additional file 1). Compared to the stable expressing control lines (PNA 8.6.1 and ICE 1.1.1), the results of the transgene silencing were much more apparent and line ICE 4.4.1 showed 428 fold (99–757), line PNA 1.2.1 836 fold (197–1476) and PNA 10.1.1 872 fold (210–1534) lower gene expression levels, respectively (Additional file 1). In summary, transgenic lines that indicated a loss of hygromycin resistance had an at least 100 fold lower transgene expression, compared to a stable lines expressing the same constructs.

Figure 3.

Figure 3

Open in a new tab

Progressive loss of transgene expression in subsequent generations. A, Gene expression analysis in homozygous plants of 5 independent N. attenuata lines, comparing two consecutive generations (T2 and T3). Transcript abundance of the ICE and PNA transgenes was determined by qRT-PCR on cDNA of rosette-stage leaves (30 dpg). Bars indicate the ΔCT mean expression (log2 fold expression) relative to actin as the reference gene (±SD, n = 3 plants). The T3 generation of the lines ICE 4.4.1, PNA 1.2.1 and PNA 10.1.1 indicated a strong reduction of transgene expression. Lines ICE 1.1.1 and PNA 8.6.1 showed stable and high transgene expression in the T3 generation. B, Photographs of 15-day-old T3 seedlings grown on a hygromycin B containing GB5 medium. Sensitivity to hygromycin was indicated by small, yellowish seedlings and the lack of root hairs. Resistant seedlings were larger, with dark green cotyledons and clearly developed root hairs. The lines ICE 4.4.1, PNA 1.2.1 and PNA 10.1.1 showed sensitivity to hygromycin in the T3 generation similar to wild-type, whereas the lines ICE 1.1.1 and PNA 8.6.1 remained hygromycin resistance. For each line seeds of three different plants were analyzed and wild-type seeds used as negative control.

Multiple T-DNA insertions in silenced lines

Several reports describe a correlation between the incidence of unwanted gene silencing and high transgene copy number, making the selection of single copy T-DNA insertions by Southern blotting a very important part of the screening process [61]. The Southern blot analysis of the silencing affected lines ICE 4.4.1, PNA 1.2.1 and PNA 10.1.1 indicated in the XbaI digest no evidence for abnormalities, but the digest with EcoRV indicated two T-DNA insertions for all three lines (Figure 4). Unusually, the second T-DNA fragment showed nearly the same size in all three independently transformed lines. Since the fragment size resembles the size of the entire transgenic cassette from left to right border (2.84 kb for pSOL9PNA and 2.76 kb for pSOL9ICE respectively) this indicates the integration of two T-DNA copies adjacent to each other, which could be responsible for the observed transgene silencing in these lines. However, multiple T-DNA copies at two independent loci can be also identified much earlier in the screening process by their unusual segregation rate (6.25% sensitive seedlings instead of 25% for a single locus). In our dataset, only a very small portion of lines (6 out of 113) showed a segregation rate around 6.25% in the T1 stage and were considered as harboring transgenes at two independent loci (Figure 1A). This enables an early exclusion of these lines from the further screening process. The Southern blot indicated for most of the analyzed lines only single T-DNA insertions, including the stable control lines (ICE 1.1.1 and PNA 8.6) (Figure 4).

Figure 4.

Figure 4

Open in a new tab

Southern blot analysis of transgenic N. attenuata plants. Southern blot hybridization analysis was performed to detect the T-DNA copy number in the transgenic plant lines. Genomic DNA was isolated from homozygous seedlings and digested overnight in separate reactions with XbaI or EcoRV. A radiolabeled fragment of the hygromycin resistance gene (hptII) served as probe. The blot indicates the presence of two T-DNA insertions for lines PNA 6.7, PNA 1.2.1, PNA 10.1.1, ICE 4.4.1 and ICE 1.2. The fragment size from the DNA marker is indicated.

Sensitive seedlings showed increased NOS promoter methylation

Unwanted or unintended transgene silencing was commonly associated with an increase in methylation within the promoter region of the transgene [24,26,29,63]. Since we found evidence for epigenetic gene silencing (intermediate stages of sensitivity and high variability among replicates), we analyzed promoter methylation levels in the transgenic cassette by bisulfite sequencing. Seedlings from line ICE 10.1 showed a transitional loss of hygromycin resistance and we separated hygromycin sensitive (yellow) and hygromycin resistant (green) seedlings to compare NOS promoter methylation levels within a 294 bp fragment (Figure 5A, Additional file 2). Among these isogenic seedlings, the resistant phenotypes were consistent with the methylation levels and sensitive seedlings had increased methylation levels, particular in the CHG and CHH sites (Additional file 2). Interestingly, the CTG at the 84th position (123 bp before translation start site) was entirely methylation free in resistant seedlings, but to 100% methylated in sensitive seedlings (Additional file 2A). Since this site is located directly downstream of a CCAAT box [64] it appears to be particularly important for the transcription process.

Figure 5.

Figure 5

Open in a new tab

Schematic illustration of the promoter region and the methylation frequencies within the 35S promoter. A, Within the transfer DNA (T-DNA) the resistance marker (hptII) is driven by a nopaline synthase (NOS) promoter and confers resistance to the antibiotic hygromycin B. The gene of interest (GOI) is driven by a cauliflower mosaic virus promoter (35S). For methylation analysis a 294 bp fragment of the NOS promoter or a 346 bp fragment of the 35S promoter were amplified with the indicated bisulfite primers. Positions of the restriction sites of XbaI and EcoRV are indicated. B, Graphical output of the 35S promoter wide methylation in two consecutive generations of line PNA 1.2 (T2 and T3 stage). DNA was isolated from seedlings 15 days post germination (dpg). Filled symbols indicate cytosine methylation, whereas empty symbols indicate a lack of methylation. Red circles represent CG sites, blue squares represent CHG sites and green triangles represent CHH sites, whereas H = A,T or C. Analysis was performed with CyMATE [127]. The upper part illustrates the spatial distribution of the methylation sites within the promoter sequence. Mean cytosine methylation was calculated for the three methylation sites (CG, CHG and CHH) from individually picked clones (±SEM, n = 12 clones).

Hypermethylation of the 35S promoter

For the methylation analysis of the 35S promoter, individual reverse primers were designed for the two different expression cassettes (pSOL9PNA, pSOL9ICE) which allowed amplification of nearly the entire 35S promoter sequence (Figure 5A). Within the 346 bp fragment a total of 14 CG, 7 CHG and 65 CHH sites were found as potential targets for methylation. To allow the direct comparison of promoter methylation differences in (resistant) T2 and (sensitive) T3 seedlings, all seeds were germinated on hygromycin-free media. The analysis of line PNA 1.2 indicated in the T2 stage seedlings methylation levels of 15.5% (±6.9%) CG and 13.1% (±7.1%) CHG methylation, respectively (Figure 5B). In comparison, the methylation rates of T3 stage seedlings (PNA 1.2.1) were more than 5 fold increased with 84.5% (±4.1%) CG and 83.3% (±5.8%) CHG methylation. At the asymmetric sites, the CHH methylations levels were 9 fold increased from 2.7% (±1.2%) in T2 to 25.3% (±2.7%) in T3 seedlings. The clearly increased levels of 35S promoter methylation were consistent with the observed loss of gene expression in this generation (Figure 3A).

De novo cytosine methylation is only acquired during vegetative growth

To trace methylation changes of the 35S promoter at different times during plant growth, we sequentially sampled leaf material 30, 45 and 60 days post germination (dpg) (Figure 6A). The three silencing affected lines (PNA 1.2.1, PNA 10.1.1 and ICE 4.4.1) showed in both generations (T2 and T3) much higher 35S promoter methylation rates compared to the control lines (ICE 1.1.1 and PNA 8.6.1) (Figure 6). The line PNA 8.6.1 indicated the lowest methylation levels and showed throughout the sampling period over both generations mean rates of only 0.9% (±0.7%) in CG, 1.3% (±1.0%) in CHG and 0.8% (±0.3%) in CHH methylation (Figure 6F, Additional file 3). These extremely low methylation levels indicate a complete DNA conversion during the bisulfite treatment and therefore a negligible false positive signal due to incomplete conversion. The second control was investigated until the T4 generation (ICE 1.1.1.1) and showed in all three generations consistent low rates of 35S promoter methylation (Figure 6D). These two stable expressing lines indicated no tendency for an increase in 35S promoter methylation after a generational change or during vegetative growth (Figure 6, Figure 7A).

Figure 6.

Figure 6

Open in a new tab

Changes in 35S promoter methylation during vegetative development. A, Developmental stages of N. attenuata plants used for DNA isolation. The time of harvest is described as days post germination (dpg). Tissues were harvested from cotyledons and first true leaves of seedlings (15 dpg), leaves from rosette-stage plants (30 dpg), cauline leaves from elongating plants (45 dpg) and cauline leaves from flowering plants (60 dpg). B-F, Mean cytosine methylation of the 35S promoter among plant development, separately shown for the individual sites (CG, CHG and CHH). The lines ICE 4.4, PNA 1.2 and PNA 10.1 showed increasing methylation levels in the 35S promoter, whereas the stable expressing control lines (ICE 1.1 and PNA 8.6) showed low methylation levels (±SEM, n = 10-12 clones). For the detailed data from individual clones see Additional file 3.

Figure 7.

Figure 7

Open in a new tab

Progression of the 35S promoter methylation over two generations. A, Mean cytosine methylation values from Figure 6 shown as trend lines over time. The methylation increase across plant development follows a similar trend in the three independent lines (ICE 4.4, PNA 1.2 and PNA 10.1). The control lines (ICE 1.1 and PNA 8.6) showed no increase in cytosine methylation over time. The generational change is denoted by the dashed line (dpg = days post germination). B, Methylation frequencies of individual positions across the generational change. Sequence wide comparison of the T2 stage (60 dpg) with the T3 stage (15 dpg) in the independent lines (ICE 4.4, PNA 1.2 and PNA 10.1). Methylation rates at individual positions were sustained across the generational transition. Positions with particular low CHH methylation frequency were indicated.

In contrast, the unstable lines ICE 4.4, PNA 1.2 and PNA 10.1 all showed increasing levels of 35S promoter methylation during growth (Figure 6B,C,E; Figure 7A). As a consequence the methylation levels deviated strongly between seedlings and flowering plants within the same generation. For instance, the CHG methylation levels of line PNA 1.2 indicated only 13.1% (±7.1) in seedlings but 90.9% (±4.0%) in flowering plants. This resembles an absolute methylation increase during plant development of more than 77% within only 45 days. The most rapid cytosine methylation increase was observed between seedlings and rosette-stage plants, where the CG and CHG levels changed within 15 days with a velocity of more than 3% per day (Figure 7A). Although the ICE 4.4 line started initially with higher methylation levels in seedling stage, it followed a similar trend and all three independent lines showed a similarly dramatic increase in methylation over time (Figure 7A). During the growth of T3 plants, the promoter methylation levels increased only slightly and reached a plateau-like level at around 90% for CG and CHG sites and ca. 30% for CHH sites.

Surprisingly, at the generational transition low differences could be observed between the T2 and T3 plants. The mean methylation levels of the T3 seedlings were highly similar to the levels found in the flowering T2 plants (Figure 7). Even the comparison of the individual frequencies at the individual positions indicated no methylation resetting or enhancement across the generational change (Figure 7B). It should be explicitly mentioned that the T3 generation seeds were not collected from exactly the same plants used here as T2 generation. Both seed generations had been collected beforehand and both generations were grown simultaneously adjacent to each other in the glasshouse. Regardless, the intensity of the methylation increase was highly reproducible and the patterns from both generations matched perfectly (Figure 7A). Among all analyzed clones certain asymmetric positions were only methylated at very low frequencies. In particular, the cytosines at the 14th and 160th position showed, for instance, 0% methylation in both generations (Figure 7B). We grouped the asymmetric CHH sites into low, medium and high methylated positions and found that the overall methylation preference was nucleotide-specific with higher probability at certain positions (e. g. CAA) compared to others (e. g. CCC) (Additional file 4). These findings were similar to the site-specific preferences of asymmetric positions found in a genome-wide analysis of the epigenome in Arabidopsis [65].

The epigenetic status of the transgene was equally inherited by parental lines

Since we commonly combine phenotypes of transgenic plants by crossing, we wanted to determine whether the heredity of a silenced transgene might be parent-of-origin-specific. We performed reciprocal crosses between wild-type and transgenic lines and tested the hemizygous offspring for hygromycin resistance. The crosses with the silencing affected lines (PNA 1.2, PNA 10.1 and ICE 4.4) all showed high levels of hygromycin sensitivity, independent of the direction of the cross revealing equal inheritance of the silenced allele through both female and male gametes (Additional file 5). The crossings with the stable expressing control lines (PNA 8.6.1 and ICE 1.1.1) always retained their hygromycin resistance. Although crossings had, in certain cases, the potential to reduce silencing [28,66], we did not observe a reduction compared to plants produced from self-pollinations.

Equivalent transgene inactivation in IR-lines

Unwanted transgene inactivation is not restricted to sense expression lines and has been reported frequently for inverted repeat (IR) constructs, which can also lose their in trans silencing ability [15,67]. In the process of producing several hundred IR-lines for the targeted silencing of endogenous N. attenuata genes involved in plant defense against herbivores, we have observed several incidents of resistance marker loss in several IR-lines over the past decade. Most recently, this was observed in the T3 generation of the ir-ACX1 line, which normally shows a reduced ability to accumulate jasmonic acid (JA) after wounding due to the in trans silencing of the endogenous acx1 gene [37]. Consistently with our previous observations, the T3 seedlings of ir-ACX1 also lost the ability to grow on hygromycin containing media (Additional file 6AB). To test the general applicability of a cell-culture induced transgene reactivation we included this IR-line as a candidate for the secondary regeneration process.

Restored gene expression after secondary regeneration

Most methods used to arrest the progress of transgene silencing include the use of cytidine analogs or viral methylation inhibitors, but these substances can cause severe growth and developmental abnormalities [68]. The cell culture step of the plant transformation procedure itself has been shown to be a significant source of methylation changes [4,69,70] and we evaluated whether the addition of a secondary cell culture step could interfere with the somatic acquirement of de novo methylation for the recovery of phenotypes in transformed but epigenetically silenced N. attenuata lines. Explant cultures were created from hypocotyls of transgenic homozygous T2 seedlings of lines PNA 1.2, ICE 4.4 and ir-ACX1 and were called “secondary regenerants”. The offspring of the secondary regenerants showed a large variability in hygromycin resistance. Most strikingly 41% of the regenerated plants produced offspring with full resistance to hygromycin and only 24% showed a resistance loss as seen after conventional propagation of these lines (Figure 8A, Additional file 7A).

Figure 8.

Figure 8

Open in a new tab

Recovery of transgene expression after secondary regeneration. A, Secondary callus regeneration was performed from hypocotyls of homozygous T2 seedlings from the lines PNA 1.2, ICE 4.4 and ir-ACX1. From the 54 secondary regenerated plants 22 produced offspring which showed full resistance to hygromycin. In the T4 stage the offspring from 9 lines remained resistant. B, Gene expression analysis after secondary regeneration. Fully resistant offspring were grown in the glasshouse and qRT-PCR was performed on leaf cDNA from rosette-stage plants. For each genotype conventionally propagated T3 plants were included as positive and negative controls, respectively. Bars indicate the ΔCT mean expression (log2 fold expression) of the ectopically expressed PNA and ICE transgenes relative to actin as the reference gene (±SD, n = 3 plants). C, Hygromycin sensitivity of T4 seedlings (direct descendants of the plants used for gene expression) indicates an ongoing silencing process (±SD, n = 3 plants).

To test if these phenotypically “recovered” plants also were restored in the expression of the transgene, we isolated RNA from rosette-stage plants. The gene expression analysis indicated much higher gene expression levels (about 200–300 fold increased) after the secondary regeneration, compared to conventionally propagated plants of the same line (Figure 8B). Most of the regenerated lines now showed gene expression levels very similar to those of the stable expressing lines (PNA 8.6.1 and ICE 1.1.1). The transgene activity of the ir-ACX1 line was not tested by gene expression analysis, but instead we determined the ability to suppress JA accumulation after simulated herbivory, as it would be performed during an experiment. All offspring from the tested ir-ACX1 regenerants showed suppressed JA accumulation, compared to wild-type plants (Additional file 6C). This indicated an actively expressed IR-construct and a recovered in trans silencing ability of the endogenous acx1 gene after secondary regeneration.

To explore the durability of this recovery, we germinated the subsequent generation (T4) on hygromycin containing media. Here the progression of marker gene silencing returned with the characteristic highly variable plant-to-plant pattern of hygromycin sensitivity (Figure 8C, Additional file 6D, Additional file 7B). Lines with low or variable gene expression levels had the highest probability of losing the resistance in the subsequent generation indicating a negative correlation between strength of transgene expression and the subsequent loss of the resistance marker. Finally, at least one line from each of the PNA and ICE regenerants (No. 288 and 195), but seven of the ir-ACX1 regenerants (No. 170, 174, 176, 185, 263, 264 and 265) showed enduring resistance up to the T4 generation.

Discussion

Erratic occurrence of unwanted transgene silencing

This study summarizes our experience in the overall occurrence of transgene silencing during the screening of N. attenuata plants and provides guidance in identifying and avoiding unstable plant lines. Erratic occurrence and variegated phenotypes are commonly reported phenomena of transgene silencing and have been shown in many different plant species [22,25,27,29,71]. This was recently illustrated for N. benthamiana plants, transformed with a 35S:GFP construct [58,59]. These plants showed erratic and non-uniform gfp expression phenotypes, which differed strongly among isogenic sibling plants, but also among tissues from the same plant. If no visual marker is used, as in our case, the accurate selection based on the resistance marker turns out to be extremely important. Here, the miscellaneous inactivation pattern could be found in the intermediate resistance stages of seedlings or so called “gradual silencing” [27,71,72]. We frequently found intermediate resistant seedlings together with a non-Mendelian distribution (which could also strongly differ among sibling plants). We hypothesize that the gene silencing starts in the 35S promoter and then gradually spreads into the NOS promoter of the resistance marker, as discussed in Mishiba et al.[63]. Here the advantage of a head-to-head orientation of both promoters becomes clear, as it places them in close vicinity and a loss of the resistance marker would provide an accurate harbinger of the forthcoming silencing within the expression cassette.

The following three indicators were our major criteria for the early detection of plant lines affected by unwanted gene silencing: (A) unusual segregation rates with >50% of sensitive seedlings, (B) intermediate phenotypes of seedlings with unclear levels of resistance and (C) large differences in gene expression among isogenic plants. We suggest from our experience that testing the subsequent generations for resistance would be the easiest way to ensure stable transgene expression in N. attenuata. It is generally advisable to keep the number of generations as small as possible in transgenic plants, since with each new generation the probability of silencing increases. These selection criteria are independent of the mechanism responsible for the transgene silencing process, whether it be by TGS or PTGS [73-75]. As long as the selected plant lines show uniform levels of gene expression and Mendelian pattern of inheritance for the resistance marker, they could be considered as “stable” and used for further experiments (Figure 9).

Figure 9.

Figure 9

Open in a new tab

Overview and summary of the findings. Transgenic N. attenuata lines can entirely loose hygromycin resistance and transgene expression within a single generation. Increase of cytosine methylation levels within the 35S promoter were acquired only during vegetative growth, resulting in higher methylation levels in later developmental stages. The silencing of the resistance marker was equally distributed to subsequent generations after reciprocal crossings with wild-type plants demonstrating a lack of parental bias in the transition of the transgene silencing. The acquisition of transgene silencing could be bypassed with a secondary callus regeneration step, resulting in variable levels of resistance and a recovered transgene expression in the offspring. The pie charts represent the percentage of sensitive and resistant seedlings (data derived from line PNA 1.2.1).

Sense transgene silencing in Nicotiana attenuata

The intensity of transgene silencing can vary greatly among different plant species. In transgenic gentian plants (Gentiana triflora X G. scabra) the 35S enhancer sequence showed progressive methylation, independently of copy number and position of insertion [63]. All tested gentian lines showed strong de novo methylation, whereas the same construct was methylated with much lower rates in N. tabacum[63]. Even among closely related Nicotiana species the spontaneous silencing of a transgene was associated with higher methylation levels in N. benthamiana than in N. tabacum[58]. Similar observations were made with unstable transgene expression in N. plumbaginifolia[76]. These reports are consistent with the hypothesis of a more rigorous gene silencing machinery in wild diploid plant species, than in the cultivated tetraploid crop. Gene silencing by DNA methylation is a natural defense mechanism against viruses, transposons and other form of “invasive elements” [47,48,50]. Plants have a more complex and sophisticated gene silencing apparatus than animals do and make use of cytosine methylation at multiple sites in combination with histone modifications and harbor a vast variety of small RNAs [44,46]. Plants even have a signal transmission pathway for small RNAs, which can act as mobile signals to direct RdDM systemically [77]. The very active systemic spreading of the silencing signal through the phloem was first observed in the solanaceous plants, tobacco and tomato [78,79] and later demonstrated also for Arabidopsis [80]. From our initial 113 independent sense expression N. attenuata lines we omitted 43% after three generations due to indications of gene silencing. N. attenuata has a highly sophisticated suite of defenses against herbivores [32] and it might be, that this plant also has an active methylation apparatus to protect its genome against genetic manipulations [81], which Michael Wassenegger once aptly called a “gene silencing-based resistance against transgene overexpression” [82].

Factors influencing transgene silencing – the gene dosage effect

Factors which have often been shown to increase the probability of transgene silencing are the transgene copy number and the strength of expression [83,84]. In addition, T-DNA rearrangements, read-through transcripts or improperly terminated or non-polyadenylated mRNA are also associated with transgene silencing [85-87]. Certainly position effects and integration into heterochromatin have been frequently reported in association with local gene silencing [26,88], but integrations into euchromatin can be similarly silenced and more recent studies suggest that overall, the insertion position plays only a minor role [89,90]. Strong viral promoters, such as the 35S cauliflower mosaic virus promoter, were thought to produce “aberrant RNA” after exceeding a certain threshold of expression [16,85]. The progressive methylation of the 35S promoter and the observed downregulation of the transgene in the lines ICE 4.4, PNA 1.2 and PNA 10.1 might be mainly induced by the presence of two T-DNA copies in close proximity to each other (Figure 4). These complex insertions at a single locus can trigger transgene silencing as shown in earlier studies [91]. Any form of repeated T-DNA arrangement appears to increase the overall silencing probability [28,92]. But despite the intensity, the methylation increase occurred relatively late in these lines and the loss of the resistance marker was not revealed until the T3 generation (Figure 2B). We hypothesize that the expression of the two T-DNA copies remains below a threshold level when plants are hemizygous. Once homozygous in the T2, these thresholds are exceeded and the sum of the four T-DNA copies likely initiate the silencing process. This scenario would explain why also all hemizygous T2 sibling plants of these lines were inconspicuous and showed no abnormal segregation.

The attempt to reactivate a silenced transgene by crossing with wild-type plants, to create hemizygous offspring with reduced T-DNA copy number, was partly successful in Arabidopsis and petunia [28,66]. In our case the sensitivity in crossings did not differ from self-pollination, probably because the methylation levels had already accumulated past the silencing threshold in flowering T2 plants (Figure 9). Similar as reported for N. tabacum hybrids, we found no evidence of a specifically maternal or paternal contribution to the inactivation process [71]. Further monitoring of the crosses could be still interesting if after ongoing propagation, demethylation might occur, as has been seen in other backcrosses with wild-type plants [24].

Successive increase of de novo methylation during development

Usually, epigenetic modifications were considered to be stable in somatic cells and during normal plant development [46,56]. Most substantial epigenetic changes have been reported during gamete formation and embryogenesis in plants [93-95]. Progressive demethylation events that could be observed in endosperm tissue were interpreted as a way to reinforce transposon methylation in the embryo [96-98]. Since transgene silencing has been often described as a sudden switch of the phenotype between plant generations, a similar mechanism might have been responsible for enhancing transgene methylation during the reproductive phase. Our observation of a high variability in rosette-stage plants (line PNA 1.2 showed 23 fold difference in gene expression among biological replicates; Figure 2A) lead to the hypothesis that epigenetic changes might start already early during vegetative growth and increase with different velocities amongst individual plants. Other studies suggested a somatic inactivation as well, pointing to evidence of diminishing expression of a reporter gene during development [71,99,100]. However, in these studies, methylation levels were not analyzed in different stages of plant development. Our methylation kinetic showed a strong somatic increase during growth, but nearly no changes between the generations, resembling a continuous inheritance of the methylation status to the offspring (Figure 7). The recent model of a methylation reinforcement during the reproductive stage, as seen for transposons [98], seems to be not applicable to the de novo methylation of transgenes.

Successive analysis of methylation changes have largely been restricted to tissue cultures or micropropagated plants [101]. In a long-term callus cultures of pearl millet (Pennisetum glaucum), a gradual decrease in GUS activity could be associated with increased methylation levels, 18 month after transformation [102]. In potato, a successive increase of gene silencing could be shown during a 5 year period of vegetative propagation [84]. In contrast, we found within only 15 days of normal plant development an absolute increase of 50% in total CG methylation. Developmental methylation increases reported in flax and Arabidopsis were only observed after treatment with DNA demethylating agents and therefore more a remethylation to the former status [103,104]. Likewise, the demethylated genome of Arabidopsis ddm1 mutants showed remethylation after complementation with the wild-type allele [105]. However, it required multiple generations to reach approximately wild-type levels and methylation changes in different plant stages were not compared. A plant stage dependent transgene expression is particular problematic if certain phenotypes (e.g. flower movement) can be only observed in late developmental stages. For ecological field experiments in which plant fitness measurements play a central role, it is important to ensure transgene functionality over the entire plant life during a field season. Indeed, the strong transgene silencing effects we saw in our lines can be the result of an orchestrated combination of different transcriptional and posttranscriptional effects, which together contribute to the downregulation of the transgene. Since gene expression levels might not be comparable among different (particularly, senescing) plant stages, the survey of the cytosine methylation levels was the more appropriate method to visualize changes during development. Comparable analysis of the timing of gene silencing in chicken cells indicated that histone hypoacetylation and transcriptional shutdown occurs even before the promoter shows hypermethylation [106].

Inhibition of transgene silencing

Cytidine analogs and methytransferase blockers are commonly used treatments to prevent gene silencing in cell cultures. These chemicals can inhibit the transgene methylation process and have been successfully applied in plant, as well as in animal cell cultures [23,91,107]. However, a treatment of cell cultures differs substantially from that of an intact organism. The stable co-expression of silencing inhibitors in N. benthamiana and N. tabacum plants resulted in much higher transgene expression levels, but both plant species suffered from abnormal growth and altered leaf morphologies, which would invalidate their use in ecological experiments [68,108]. Although plants are surprisingly able to tolerate even mutations in genes of the DNA methylation pathway (e.g. methyltransferase1 mutants are embryolethal in mammals), the knockdown of the expression of these genes leads to the accumulation of developmental abnormalities [109,110]. The gene silencing machinery is an important part of the gene regulatory mechanism and their disturbance has global negative effects on development [111]. To date, there is no nuanced method available of selectively recovering only a single silenced transgene without causing substantial collateral damage to genome-wide methylation patterns.

Reactivation of transgene expression through cell culture to rescue phenotypes for ecological research

The cell culture step of the plant transformation process is a common source of unintended side effects [70,112]. The somaclonal variations that result from the de- and re-differentiation steps of cell culturing can be of genetic or epigenetic origin. Since DNA methylation patterns were highly variable among regenerated plants, an altered DNA methylation machinery during cell culture conditions had been suggested [69,112,113]. Most studies in different plant species found a genome-wide trend towards hypomethylation after a tissue culture step with even the possibility of restoring the activity of a former deactivated transgene [101,114,115]. Recently, an epigenome analyses in rice (Oryza sativa) revealed the details of the genome-wide loss of DNA methylation after regeneration [4]. We demonstrated for transgenic N. attenuata plants, that a secondary callus regeneration step could be used to recover transgene expression in the offspring of the regenerated plants. In this way, the desired gene expression levels could be achieved, even from plants with progressively silenced constructs (Figure 8, Figure 9). However, the transgene was re-silenced within most of the regenerants after two generations, highlighting the temporary character of the recovery. Regardless, the onset of gene silencing was successfully deferred for one generation with plants that produce many seeds, which provides a long-term source of material for further experiments. Similar attempts in gentian plants failed and the gene suppression persisted, probably because already silenced leaf tissue was used for the secondary regeneration [116]. Therefore we used hypocotyl tissue of T2 seedlings, which were still resistant and indicated a relative low methylation rate (Figure 6). We hypothesize, that a cell culture induced transgene recovery mainly functions by interfering with the somatic de novo methylation process, rather than actively demethylating a transgene. The offspring of the regenerants were phenotypically normal, making this method suitable for ecological research.

Conclusions

There is considerable interest in the creation of transformed plant lines with stable and heritable phenotypes, but the dynamics of epigenetic mechanisms during plant development can lead to gradual changes within a single generation and “transgene half-life” could compromise long-term experiments. Overall, the regulation of cytosine methylation in vegetative tissue seems be more dynamic than previously thought. Unlike in animals in which the germline is sequestered, plants develop germ cells directly from somatic cells relative late in their life cycle. Any vegetative acquired change of the genome could therefore be potentially submitted to the offspring, giving plants the potential to flexibly adapt to a rapid changing environment [117,118]. Apparently epigenetic processes can play a much greater role in driving plant evolution than previously thought [43,44,119].

Methods

Construction of transformation vectors

For heterologous expression of antimicrobial peptides in N. attenuata altogether 11 different vectors were constructed [61]. Plants transformed with the vectors pSOL9PNA, pSOL9ICE and pSOL9FAB were analyzed here in more detail. The different antimicrobial peptide coding genes were selected from the PhytAMP database (http://phytamp.pfba-lab-tun.org/) [120] and were synthesized in sequential PCR reactions with overlapping 40 bp primers. Full length synthesized genes were cloned in pSOL9 binary plant transformation vectors consisting of a hygromycin phosphotransferase II (hptII) gene as a selectable marker under a nopaline synthase promoter (NOS) and the gene of interest (GOI) under a cauliflower mosaic virus promoter (35S) [61]. Transgenic “PNA” plants expressed an antifungal peptide (hevein) from the Japanese morning glory Ipomoea nil (synthetic gene similar to the Pn-AFP2 precursor [GenBank:U40076]). Transgenic “ICE” plants expressed an antimicrobial peptide (knottin) from the common ice plant Mesembryanthemum crystallinum (synthetic gene identical to the Mc-AMP1 precursor [GenBank:AF069321]) and transgenic “FAB” plants expressed an antimicrobial peptide (fabatin) from the broad bean Vicia faba (synthetic gene similar to the fabatin-1 precursor [GenBank:EU920043]). The sequences of the PNA and FAB constructs were manually adapted to the codon usage table of N. tabacum (http://gcua.schoedl.de/).

Plant transformation and line screening

N. attenuata Torr. ex S. Watson seeds were originally collected in 1988 from a natural population at the DI Ranch in Southwestern Utah. Wild-type seeds from the 30th inbreed generation were used for the construction of transgenic plants and as WT controls in all experiments. Plant transformation was performed by Agrobacterium tumefaciens-mediated gene transfer as previously described [121]. Explant cultures were regenerated from elongated hypocotyl tissue and the selection for correct T-DNA integrations was performed on phytagel-based media supplemented with 20 mg/L hygromycin B (Duchefa). For germination seeds were sterilized for 5 min with a 2% (w/v) aqueous solution of sodium dichloroisocyanuric acid (DCCS) and treated for 1 h with 0.1 M gibberelic acid (GA3) in 50 × diluted liquid smoke solution (House of Herbs). At least 60 seedlings per plant were germinated on Gamborg’s B5 (GB5) Medium (Duchefa) supplemented with 35 mg/L hygromycin B (Duchefa) and incubated in a growth chamber (Percival, day 16 h 26°C, night 8 h 24°C). After 10 days the segregation rate (% of sensitive seedlings) was determined and resistant seedlings transferred to the glasshouse under constant temperature and light conditions (day 16 h 26-28°C, night 8 h 22-24°C). Since N. attenuata is self-compatible, the collected seeds result generally from self-pollination, except if crossings with different lines are indicated. For crossings, the flowers were antherectomized before opening and hand-pollinated using pollen from either homozygous transgenic or wild-type plants. Independent overexpression plant lines used in this study were: PNA 1 (A-09-678), PNA 3 (A-09-768), PNA 6 (A-09-792), PNA 8 (A-09-823), PNA 9 (A-09-825), PNA 10 (A-09-826), ICE 1 (A-09-653), ICE 4 (A-09-702), ICE 6 (A-09-748), ICE 10 (A-09-807), FAB 1 (A-09-662), FAB 5 (A-09-855), FAB 6 (A-09-857), FAB 9 (A-09-865), FAB 10 (A-09-866). The plant generations were indicated within the line number as follows: T1 seeds or plants have only the line number (e.g. PNA 8), T2 seeds were indicated by an extra number to identify the plant from which seeds were collected from (e.g. PNA 8.6), T3 seeds were additionally numbered (e.g. PNA 8.6.1 etc.). Two lines harboring an inverted repeat construct for silencing the expression of N. attenuata acetyl-CoA-transferase 1 (acx1), ir-ACX1 (A-07–466-1) and ir-ACX1 (A-07-468-3), were described in [37].

Genomic DNA isolation

Genomic DNA was isolated with a modified hexadecyltrimethylammonium bromide (CTAB) method described in [122]. For Southern blotting 15 day old seedlings were ground in liquid nitrogen to a fine powder and 300 mg used for DNA isolation. The quality and concentration was estimated by agarose gel electrophoresis. For bisulfite sequencing gDNA was isolated from cotyledons and first true leaves of seedlings 15 days post germination (15 dpg), leaves of rosette-stage plants (30 dpg), cauline leaves of elongating plants (45 dpg) and cauline leaves of flowering plants (60 dpg) (see Figure 6A for illustration). The last three time points were successively sampled from the same plants. Materials from 5 biological replicates were pooled, ground in liquid nitrogen to a fine powder and 300 mg used for DNA isolation. For the isolation of DNA from elongated plants (45 and 60 dpg) a modified buffer with higher salt concentration was used (2% CTAB, 100 mM Tris–HCl [pH 8.0], 20 mM EDTA [pH 8.0], 2.2 M NaCl, 2% PVPP [Mr 40.000], 10 mM ascorbic acid). The amount and quality of DNA was estimated on a Nanodrop spectrophotometer (Thermo Scientific).

Southern blot analysis

A total amount of 6 μg gDNA was digested overnight at 37°C with 140 U EcoRV and XbaI (New England Biolabs) in independent reactions, each enzyme providing only one restriction site within the T-DNA of the binary vector (indicated in Figure 5A). The digested DNA was separated on a 1% (w/v) agarose gel for 17 h at 23 Volt. DNA was blotted overnight onto a Gene Screen Plus Hybridization Transfer Membrane (Perkin-Elmer) using the capillary transfer method. A gene specific probe for the hptII gene was amplified with the primer pair HYG1-18 (5′-CCGGATCGGACGATTGCG-3′) and HYG2-18 (5′-CTGACGGACAATGGCCGC-3′) [61] and radiolabeled with [α-32P] dCTP (Perkin-Elmer) using the Rediprime II DNA Labeling System (GE Healthcare) according to the manufacturer′s instructions.

RNA isolation and qRT-PCR

Tissue was harvested from rosette-stage leaves and ground in liquid nitrogen to a fine powder. RNA isolation was performed with a salt precipitation method modified from the US patent of Gentra Systems, Inc. publication No. 5973137 [123] and adapted for N. attenuata tissue. Approximately 150–300 mg ground and frozen tissue was dissolved in 900 μL cell lysis buffer (2% [w/v] sodium dodecyl sulfate, 77 mM [tri-] sodium citrate, 132 mM citric acid, 10 mM ethylenediaminetetraacetic acid) and shortly mixed. Per sample 300 μL protein precipitation buffer (4 M NaCl, 19 mM [tri-] sodium citrate, 33 mM citric acid) was added and the tubes inverted ten times. Samples were incubated on ice for 5 min and centrifuged at room temperature in a table top centrifuge (5 min at 16.100 g). The supernatant was collected and extracted with 500 μL chloroform:isoamylalcohol mix (24:1 v/v). After centrifugation (3 min at 16.100 g) the upper aqueous phase was collected and nucleic acids precipitated with 1 volume isopropanol for 15 min at room temperature. Nucleic acids were pelleted in a table top centrifuge (3 min at 16.100 g), washed twice with 400 μL 70% (v/v) ethanol and air dried for 5 min. The final pellet was dissolved in 50 μL nuclease free water (Ambion / Life technologies). The nucleic acid was DNAse-treated using the TURBO DNA-free kit (Ambion / Life Technologies) according to the manufacturer’s instructions. Quality and amount of the remaining RNA was determined using a 1% (w/v) agarose gel and a Nanodrop spectrophotometer (Thermo Scientific). The absence of genomic DNA was tested with 20 ng RNA in a 35 cycle PCR programm (94°C for 1 min, 35 cycles of 94°C for 30 s, 60°C for 30 s, 72°C for 30 s) with the same primers as for qRT-PCR. 4 μg of total RNA was reverse transcribed with oligo(dT)18 primers (Fermentas) and the SuperScript II reverse transcriptase enzyme (Invitrogen / Life Technologies). Quantitative Real Time-PCR (qRT-PCR) was performed with 1:10 diluted cDNA (20 ng) on a Mx3005P QPCR System (Stratagene) with either a SYBR Green based PCR Master Mix (Applied Biosystems / Life Technologies) or a qPCR Core kit for SYBR Green (Eurogentec). For amplification the following primers were used: ICE-94F (5′-AATGGAAAAGGATGTCGAGAGG-3′), ICE-167R (5′-CATCCAACCTGACGGTAACAGAA-3′), PNA-86F (5′-GGAGACAAGCTAGTGGGAGGC-3′), PNA-154R (5′-TGGAGCCACAGTAGCCCC-3′), FAB-111F (5′-CAGGTTTAATGGACCATGCTTG-3′), FAB-184R (5′-CACCACCTTTGTAACCTTCTCCC-3′). The used program was 95°C for 10 min followed by 40 cycles of 95°C for 15 s, 60°C for 1 min and 1 cycle of 95°C for 15 s, 60°C for 30 s, 95°C for 15 s as dissociation curve. For relative gene expression analysis the comparative Δ cycle threshold method (ΔCT ) was used. Gene expression was shown as log2 (ΔCT) relative to N. attenuata actin as the reference gene (Actin-F1 5′-GGTCGTACCACCGGTATTGTG-3′ and Actin-R1 5′-GTCAAGACGGAGAATGGCATG-3′) [61].

Bisulfite genomic sequencing

DNA methylation analysis was performed by the bisulfite sequencing method [124]. The bisulfite conversion was performed using the EpiTect Bisulfite kit (Qiagen) according to the manufacturer’s instructions. A total of 1 μg gDNA was converted for 5 h with the following program 95°C for 5 min, 60°C for 25 min, 95°C for 5 min, 60°C for 85 min, 95°C for 5 min, 60°C for 175 min. The target sequences were amplified from the converted DNA with 0,05 U/μL JumpStart Taq DNA Polymerase with the provided reaction buffer (Sigma-Aldrich), 200 μM dNTP Mix (Fermentas) and 0,5 μM of the following primer: MetCNOSR5 (5′-AGATYYGGTGYAGATTATTTGGATTGA-3′) and MetCNOSF6 (5′-TTARRTCCTCTATTTRAATCTTTRACTCC-3′) for a 294 bp fragment of the NOS promoter (−40 to −333 bp before the start codon) and MetC35SF2 (5′-AGGGYAATTGAGAYTTTTTAATAAAGGG-3′) and MetC35SRPNA2 (5′-CAARARAACAATAAACATAATACARTATTTCATCTC-3′) or MetC35SRICE2 (5′-ATTTCARCAAAAAARATRAAACCTTAACCATCTC-3′) for a 346 bp fragment of the CaMV 35S promoter (−1 to −346 bp before the start codon). Primers were designed using Methprimer software (http://www.urogene.org/methprimer/) and Kismeth [110] and manually adapted according to [125] and [126], to avoid amplification-bias of non-converted DNA. Cycle parameters used were 94°C for 1 min followed by 35 cycles with 94°C for 30 s, 53°C for 30 s, 72°C for 30 s and a final step with 72°C for 5 min. PCR products were gel excised and purified with the NucleoSpin Extract II kit (Macherey-Nagel) and cloned into pGEM-T Easy vector system (Promega). Plasmids of individual picked clones were isolated with NucleoSpin Plasmid Kit (Macherey-Nagel). Sequencing was performed with the BigDye Terminator mix v3.1 (Applied Biosystems) supplemented with 5% dimethyl sulfoxide (DMSO). Sequences were manually trimmed and the data analysis performed with the online tools CyMATE (http://cymate.org/) [127] and MethTools 2.0 (http://methdb.igh.cnrs.fr/methtools/) [128]. Nucleotide frequencies at CHH positions were graphical illustrated with WebLogo 3 (http://weblogo.threeplusone.com/) [129]. For the 35S promoter methylation kinetic a minimum of 10–12 individual clones per sample were analyzed.

Secondary callus regeneration

Homozygous seedlings of the lines PNA 1.2, ICE 4.4 and ir-ACX1 (A-07-466-1 and A-07-468-3) were chosen for secondary callus regeneration. T2 stage seedlings (still resistant) were grown for 10 days on GB5 media supplemented with hygromycin B (35 mg/L). The hypocotyls were cut in small pieces as done for the normal plant transformation procedure but without dipping the scalpel in Agrobacterium suspension. The explant cultures were grown into a callus and regenerated as previously described [121]. Fully regenerated plants were grown in pots in the glasshouse for self-pollination and seed production. Secondary regenerated lines originating from PNA 1.2 seedlings were A-11-xxx (188, 189, 190, 191, 193, 194, 272, 274, 275, 276, 277, 278, 286, 288, 308, 327, 329 and 330). Secondary regenerated plants originating from ICE 4.4 seedlings were A-11-xxx (195, 196, 199, 200, 201, 202, 268, 269, 270, 271, 307 and 328). Secondary regenerated lines originating from ir-ACX1 (A-07-466-1) seedlings were: A-11-xxx (170, 171, 172, 173, 174, 175, 176, 177, 178, 263, 264, 265, 281 and 283) and from ir-ACX1 (A-07-468-3) A-11-xxx (179, 180, 181, 183, 184, 185, 266 and 282). The first seed generation (T3) from the regenerants were germinated on hygromycin containing media and seedlings with 0% sensitivity were brought to the glasshouse for RNA isolation and further propagation to test the subsequent generation (T4) for resistance.

Jasmonic acid extraction and analysis

Leaves at nodes +1 [130] from rosette-stage (30 days old) plants were wounded by rolling a fabric pattern wheel three times on each side of the midvein and the wounds were supplied immediately with 20 μL of 1:5 (v/v) diluted oral secretion of Manduca sexta. Leaf tissue was collected 60 min after the treatment and was frozen immediately in liquid nitrogen for subsequent analysis. Jasmonic acid was extracted and analyzed as described in [35].

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

AW planned and performed the experiments, analyzed the data and wrote the manuscript. MK performed all experiments with ir-ACX1 lines. ITB participated in the design of the study and revised the manuscript. All authors read and approved the final manuscript.

Supplementary Material

Additional file 1

Fold difference of transgene expression in consecutive generations.

Click here for file (24.2KB, docx)
Additional file 2

NOS promoter methylation between sensitive and resistant seedlings of line ICE 10.1.A, Methylation status of the NOS promoter among isogenic seedlings from line ICE 10.1. Different methylation sites (CG, CHG and CHH) were indicated by different colors. Analysis was performed by CyMATE [127]. B. Phenotypes of 10-day-old seedlings used for DNA isolation and bisulfite conversion. Isogenic seedlings of line ICE 10.1.2 were divided into sensitive and resistant seedlings and analyzed separately. Mean methylation rate from five clones is shown for the individual methylation sites (CG, CHG and CHH). (± SEM, n = 5 clones).

Click here for file (1.6MB, pdf)
Additional file 3

Detail of 35S promoter methylation analysis of individual clones. Tissue harvested 15, 30, 45 and 60 days post germination of lines ICE 4.4 (T2) and ICE 4.4.1 (T3); ICE 1.1 (T2), ICE 1.1.1 (T3) and ICE 1.1.1.1 (T4); PNA 1.2 (T2) and PNA 1.2.1 (T3); PNA 10.1 (T2) and PNA 10.1.1 (T3); PNA 8.6 (T2) and PNA 8.6.1 (T3).

Click here for file (2.3MB, pdf)
Additional file 4

Sequence preference in CHH methylation sites. The nucleotide composition of 8-mer sequences around the CHH sites (methylated cytosine in the fifths position) divided in groups with low methylation (0–9%), medium methylation (10–49%) and high methylation (50–100%) frequencies. The pooled frequency data of lines ICE 4.4.1, PNA 1.2.1 and PNA 10.1.1 derived from one time point (60 dpg T3). The logo graphically illustrates the sequence enrichment at particular positions around the methylation site. Maximum sequence conservation is 2 bit, no nucleotide preference is 0 bit. Figures were made with WebLogo 3 [129].

Click here for file (326KB, pdf)
Additional file 5

Inheritance of the silenced allele after reciprocal crossing with wild-type. The hybrid offspring (hemizygous to the transgene) should be theoretically fully resistant to hygromycin B. The silenced state of the transgene was equally distributed to subsequent generations. A, Percentage of sensitive seedlings after crossing (± SD, n = 3 plants). B, Phenotypes of seedlings on hygromycin B containing GB5 media.

Click here for file (5.5MB, pdf)
Additional file 6

Transgene silencing in line ir-ACX1.A, Jasmonic acid accumulation 1 h after wound and oral secretion treatment in rosette leaves of ir-ACX1 and wild-type plants. The T3 generation of ir-ACX1 lost their capacity to suppress jasmonic acid accumulation [37]. B, The T3 seedlings from line ir-ACX1 (A-07-468) developed sensitivity to hygromycin B. C, Transgene activity indicated by jasmonic acid accumulation determined in wound and oral secretion treated leaves of secondary regenerated ir-ACX1 lines. A reduced accumulation of jasmonic acid after wounding compared to wild-type (WT) indicated a functional IR-construct. D, Hygromycin sensitivity of T4 seedlings (direct descendants of the plants used for wound treatment) indicates an ongoing silencing process (±SD, n = 3 plants).

Click here for file (1.7MB, pdf)
Additional file 7

Phenotypes after secondary regeneration. A, Photographs of T3 seedlings collected from secondary regenerants of line ICE 4.4 and PNA 1.2. Cell culture-induced variations resulted in variegated pattern of sensitivity on hygromycin B containing GB5 media. B, Photographs of T4 generation seedlings collected from fully resistant secondary regenerated plants. As positive and negative controls conventional propagated T4 seedlings are shown.

Click here for file (6.2MB, pdf)

Contributor Information

Arne Weinhold, Email: arweinhold@ice.mpg.de.

Mario Kallenbach, Email: mkallenbach@ice.mpg.de.

Ian Thomas Baldwin, Email: baldwin@ice.mpg.de.

Acknowledgements

The authors thank Alexander Weinhold for assistance with plant crossings; Antje Wissgott, Wiebke Kröber and Susan Kutschbach for plant transformation and secondary callus regeneration; Thomas Hahn for help with sequencing; Klaus Gase and Aura Navarro-Quezada and all reviewers for helpful comments on the manuscript; this work was supported by the Leibnitz and the Max Planck Societies and an advanced ERC grant, ClockworkGreen (No. 293926) to ITB.

References

  1. Schwachtje J, Kutschbach S, Baldwin IT. Reverse genetics in ecological research. PLoS One. 2008;3:e1543. doi: 10.1371/journal.pone.0001543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Eamens A, Wang M-B, Smith NA, Waterhouse PM. RNA silencing in plants: yesterday, today, and tomorrow. Plant Physiol. 2008;147:456–68. doi: 10.1104/pp.108.117275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Kessler D, Gase K, Baldwin IT. Field experiments with transformed plants reveal the sense of floral scents. Science. 2008;321:1200–2. doi: 10.1126/science.1160072. [DOI] [PubMed] [Google Scholar]
  4. Stroud H, Ding B, Simon SA, Feng S, Bellizzi M, Pellegrini M, Wang G-L, Meyers BC, Jacobsen SE. Plants regenerated from tissue culture contain stable epigenome changes in rice. eLife. 2013;2:e00354–e00354. doi: 10.7554/eLife.00354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Zhong GY. Genetic issues and pitfalls in transgenic plant breeding. Euphytica. 2001;118:137–144. doi: 10.1023/A:1004048019670. [DOI] [Google Scholar]
  6. Graham MW, Mudge SR, Sternes PR, Birch RG. In: Plant Transformation Technologies. Stewart CN, Touraev A, Citopvsky V, Tzfira T, editor. Chichester UK: Wiley-Blackwell; 2011. Understanding and Avoiding Transgene Silencing; pp. 171–196. [Google Scholar]
  7. Finnegan J, McElroy D. Transgene inactivation: plants fight back! Nat Biotechnol. 1994;12:883–888. doi: 10.1038/nbt0994-883. [DOI] [Google Scholar]
  8. Sijen T, Vijn I, Rebocho A, Van Blokland R, Roelofs D, Mol JN, Kooter JM. Transcriptional and posttranscriptional gene silencing are mechanistically related. Curr Biol. 2001;11:436–40. doi: 10.1016/S0960-9822(01)00116-6. [DOI] [PubMed] [Google Scholar]
  9. Hohn T, Vazquez F. RNA silencing pathways of plants: silencing and its suppression by plant DNA viruses. Biochim Biophys Acta. 2011;1809:588–600. doi: 10.1016/j.bbagrm.2011.06.002. [DOI] [PubMed] [Google Scholar]
  10. Muskens MW, Vissers AP, Mol JN, Kooter JM. Role of inverted DNA repeats in transcriptional and post-transcriptional gene silencing. Plant Mol Biol. 2000;43:243–260. doi: 10.1023/A:1006491613768. [DOI] [PubMed] [Google Scholar]
  11. Wesley SV, Helliwell CA, Smith NA, Wang MB, Rouse DT, Liu Q, Gooding PS, Singh SP, Abbott D, Stoutjesdijk PA, Robinson SP, Gleave AP, Green AG, Waterhouse PM. Construct design for efficient, effective and high-throughput gene silencing in plants. Plant J. 2001;27:581–590. doi: 10.1046/j.1365-313X.2001.01105.x. [DOI] [PubMed] [Google Scholar]
  12. Miki D, Itoh R, Shimamoto K. RNA silencing of single and multiple members in a gene family of rice. Plant Physiol. 2005;138:1903–13. doi: 10.1104/pp.105.063933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Mette MF, Aufsatz W, Van der Winden J, Matzke MA, Matzke AJ. Transcriptional silencing and promoter methylation triggered by double-stranded RNA. EMBO J. 2000;19:5194–201. doi: 10.1093/emboj/19.19.5194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Matzke M, Aufsatz W, Kanno T, Daxinger L, Papp I, Mette MF, Matzke AJM. Genetic analysis of RNA-mediated transcriptional gene silencing. Biochim Biophys Acta. 2004;1677:129–41. doi: 10.1016/j.bbaexp.2003.10.015. [DOI] [PubMed] [Google Scholar]
  15. Fojtová M, Bleys A, Bedrichová J, Van Houdt H, Krízová K, Depicker A, Kovarík A. The trans-silencing capacity of invertedly repeated transgenes depends on their epigenetic state in tobacco. Nucleic Acids Res. 2006;34:2280–93. doi: 10.1093/nar/gkl180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Stam M, Mol JNM, Kooter JM. The silence of genes in transgenic plants. Ann Bot. 1997;79:3–12. [Google Scholar]
  17. Matzke M, Kanno T, Huettel B, Daxinger L, Matzke AJM. Targets of RNA-directed DNA methylation. Curr Opin Plant Biol. 2007;10:512–9. doi: 10.1016/j.pbi.2007.06.007. [DOI] [PubMed] [Google Scholar]
  18. Wassenegger M. RNA-directed DNA methylation. Plant Mol Biol. 2000;43:203–20. doi: 10.1023/A:1006479327881. [DOI] [PubMed] [Google Scholar]
  19. Zhang H, Zhu J-K. RNA-directed DNA methylation. Curr Opin Plant Biol. 2011;14:142–7. doi: 10.1016/j.pbi.2011.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Wassenegger M, Heimes S, Riedel L, Sänger HL. RNA-directed de novo methylation of genomic sequences in plants. Cell. 1994;76:567–76. doi: 10.1016/0092-8674(94)90119-8. [DOI] [PubMed] [Google Scholar]
  21. Dalakouras A, Wassenegger M. Revisiting RNA-directed DNA methylation. RNA Biol. 2013;10:1–3. doi: 10.4161/rna.23542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Peerbolte R, Leenhouts K, Hooykaas-van Slogteren GMS, Wullems GJ, Schilperoort RA. Clones from a shooty tobacco crown gall tumor II: irregular T-DNA structures and organization, T-DNA methylation and conditional expression of opine genes. Plant Mol Biol. 1986;7:285–299. doi: 10.1007/BF00752901. [DOI] [PubMed] [Google Scholar]
  23. Zhu Z, Hughes KW, Huang L. Effects of 5-azacytidine on transformation and gene expression in Nicotiana tabacum. In Vitro Cell Dev Biol. 1991;27:77–83. [Google Scholar]
  24. Matzke MA, Primig M, Trnovsky J, Matzke AJ. Reversible methylation and inactivation of marker genes in sequentially transformed tobacco plants. EMBO J. 1989;8:643–649. doi: 10.1002/j.1460-2075.1989.tb03421.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Van der Krol AR, Mur LA, Beld M, Mol JNM, Stuitje AR. Flavonoid genes in petunia: addition of a limited number of gene copies may lead to a suppression of gene expression. Plant Cell. 1990;2:291–299. doi: 10.1105/tpc.2.4.291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Linn F, Heidmann I, Saedler H, Meyer P. Epigenetic changes in the expression of the maize A1 gene in Petunia hybrida: role of numbers of integrated gene copies and state of methylation. Mol Gen Genet. 1990;222:329–36. doi: 10.1007/BF00633837. [DOI] [PubMed] [Google Scholar]
  27. Kilby NJJ, Leyser HMOM, Furner IJJ. Promoter methylation and progressive transgene inactivation in Arabidopsis. Plant Mol Biol. 1992;20:103–112. doi: 10.1007/BF00029153. [DOI] [PubMed] [Google Scholar]
  28. Mittelsten Scheid O, Paszkowski J, Potrykus I. Reversible inactivation of a transgene in Arabidopsis thaliana. Mol Gen Genet. 1991;228:104–112. doi: 10.1007/BF00282454. [DOI] [PubMed] [Google Scholar]
  29. Yamasaki S, Oda M, Koizumi N, Mitsukuri K, Johkan M, Nakatsuka T, Nishihara M, Mishiba K. De novo DNA methylation of the 35S enhancer revealed by high-resolution methylation analysis of an entire T-DNA segment in transgenic gentian. Plant Biotechnol. 2011;28:223–230. doi: 10.5511/plantbiotechnology.10.1222a. [DOI] [Google Scholar]
  30. Gambino G, Perrone I, Carra A, Chitarra W, Boccacci P, Torello Marinoni D, Barberis M, Maghuly F, Laimer M, Gribaudo I. Transgene silencing in grapevines transformed with GFLV resistance genes: analysis of variable expression of transgene, siRNAs production and cytosine methylation. Transgenic Res. 2010;19:17–27. doi: 10.1007/s11248-009-9289-5. [DOI] [PubMed] [Google Scholar]
  31. Zeng F, Xin Y, Li B, Zhan Y, Yang C. The stability of transgene expression and effect of DNA methylation on post transcriptional gene silencing (PTGS) in birch. Afr J Biotechnol. 2011;10:8188–8193. [Google Scholar]
  32. Baldwin IT. An Ecologically Motivated Analysis of Plant-Herbivore Interactions in Native Tobacco. Plant Physiol. 2001;127:1449–1458. doi: 10.1104/pp.010762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Halitschke R, Baldwin IT. Antisense LOX expression increases herbivore performance by decreasing defense responses and inhibiting growth-related transcriptional reorganization in Nicotiana attenuata. Plant J. 2003;36:794–807. doi: 10.1046/j.1365-313X.2003.01921.x. [DOI] [PubMed] [Google Scholar]
  34. Kessler A, Halitschke R, Baldwin IT. Silencing the jasmonate cascade: induced plant defenses and insect populations. Science. 2004;305:665–8. doi: 10.1126/science.1096931. [DOI] [PubMed] [Google Scholar]
  35. Stitz M, Gase K, Baldwin IT, Gaquerel E. Ectopic expression of AtJMT in Nicotiana attenuata: creating a metabolic sink has tissue-specific consequences for the jasmonate metabolic network and silences downstream gene expression. Plant Physiol. 2011;157:341–54. doi: 10.1104/pp.111.178582. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Schuman MC, Barthel K, Baldwin IT. Herbivory-induced volatiles function as defenses increasing fitness of the native plant Nicotiana attenuata in nature. eLife. 2012;1:1–29. doi: 10.7554/eLife.00007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Kallenbach M, Bonaventure G, Gilardoni PA, Wissgott A, Baldwin IT. Empoasca leafhoppers attack wild tobacco plants in a jasmonate-dependent manner and identify jasmonate mutants in natural populations. Proc Natl Acad Sci USA. 2012;109:E1548–1557. doi: 10.1073/pnas.1200363109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Diezel C, Allmann S, Baldwin IT. Mechanisms of optimal defense patterns in Nicotiana attenuata: flowering attenuates herbivory-elicited ethylene and jasmonate signaling. J Integr Plant Biol. 2011;53:971–83. doi: 10.1111/j.1744-7909.2011.01086.x. [DOI] [PubMed] [Google Scholar]
  39. Wyatt GR. Occurrence of 5-Methyl-Cytosine in nucleic acids. Nature. 1950;166:237–238. doi: 10.1038/166237b0. [DOI] [PubMed] [Google Scholar]
  40. Vanyushin BF, Ashapkin VV. DNA methylation in higher plants: past, present and future. Biochim Biophys Acta. 2011;1809:360–8. doi: 10.1016/j.bbagrm.2011.04.006. [DOI] [PubMed] [Google Scholar]
  41. Gehring M, Henikoff S. DNA methylation dynamics in plant genomes. Biochim Biophys Acta. 2007;1769:276–86. doi: 10.1016/j.bbaexp.2007.01.009. [DOI] [PubMed] [Google Scholar]
  42. Furner IJ, Matzke M. Methylation and demethylation of the Arabidopsis genome. Curr Opin Plant Biol. 2011;14:137–41. doi: 10.1016/j.pbi.2010.11.004. [DOI] [PubMed] [Google Scholar]
  43. Richards EJ. Natural epigenetic variation in plant species: a view from the field. Curr Opin Plant Biol. 2011;14:204–9. doi: 10.1016/j.pbi.2011.03.009. [DOI] [PubMed] [Google Scholar]
  44. Fedoroff NV. Transposable elements, epigenetics, and genome evolution. Science. 2012;338:758–767. doi: 10.1126/science.338.6108.758. [DOI] [PubMed] [Google Scholar]
  45. Matzke M, Kanno T, Daxinger L, Huettel B, Matzke AJM. RNA-mediated chromatin-based silencing in plants. Curr Opin Cell Biol. 2009;21:367–76. doi: 10.1016/j.ceb.2009.01.025. [DOI] [PubMed] [Google Scholar]
  46. Law JA, Jacobsen SE. Establishing, maintaining and modifying DNA methylation patterns in plants and animals. Nat Rev Genet. 2010;11:204–20. doi: 10.1038/nrg2719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Chan SW-L, Henderson IR, Jacobsen SE. Gardening the genome: DNA methylation in Arabidopsis thaliana. Nat Rev Genet. 2005;6:351–60. doi: 10.1038/nrg1601. [DOI] [PubMed] [Google Scholar]
  48. Voinnet O. RNA silencing as a plant immune system against viruses. Trends Genet. 2001;17:449–459. doi: 10.1016/S0168-9525(01)02367-8. [DOI] [PubMed] [Google Scholar]
  49. Zilberman D. The evolving functions of DNA methylation. Curr Opin Plant Biol. 2008;11:554–9. doi: 10.1016/j.pbi.2008.07.004. [DOI] [PubMed] [Google Scholar]
  50. Lisch D. Epigenetic regulation of transposable elements in plants. Annu Rev Plant Biol. 2009;60:43–66. doi: 10.1146/annurev.arplant.59.032607.092744. [DOI] [PubMed] [Google Scholar]
  51. Gruenbaum Y, Naveh-Many T, Cedar H, Razin A. Sequence specificity of methylation in higher plant DNA. Nature. 1981;292:860–862. doi: 10.1038/292860a0. [DOI] [PubMed] [Google Scholar]
  52. Lunerová-Bedrichová J, Bleys A, Fojtová M, Khaitová L, Depicker A, Kovarík A. Trans-generation inheritance of methylation patterns in a tobacco transgene following a post-transcriptional silencing event. Plant J. 2008;54:1049–62. doi: 10.1111/j.1365-313X.2008.03475.x. [DOI] [PubMed] [Google Scholar]
  53. Dalakouras A, Dadami E, Zwiebel M, Krczal G, Wassenegger M. Transgenerational maintenance of transgene body CG but not CHG and CHH methylation. Epigenetics. 2012;7:1071–8. doi: 10.4161/epi.21644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Singh A, Zubko E, Meyer P. Cooperative activity of DNA methyltransferases for maintenance of symmetrical and non-symmetrical cytosine methylation in Arabidopsis thaliana. Plant J. 2008;56:814–23. doi: 10.1111/j.1365-313X.2008.03640.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Goodrich J, Tweedie S. Remembrance of things past: chromatin remodeling in plant development. Annu Rev Cell Dev Biol. 2002;18:707–46. doi: 10.1146/annurev.cellbio.18.040202.114836. [DOI] [PubMed] [Google Scholar]
  56. Feng S, Jacobsen SE, Reik W. Epigenetic reprogramming in plant and animal development. Science. 2010;330:622–627. doi: 10.1126/science.1190614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Law JA, Jacobsen SE. Dynamic DNA methylation. Science. 2009;323:1568–9. doi: 10.1126/science.1172782. [DOI] [PubMed] [Google Scholar]
  58. Dalakouras A, Moser M, Boonrod K, Krczal G, Wassenegger M. Diverse spontaneous silencing of a transgene among two Nicotiana species. Planta. 2011;234:699–707. doi: 10.1007/s00425-011-1433-9. [DOI] [PubMed] [Google Scholar]
  59. Sohn S-H, Choi MS, Kim K-H, Lomonossoff G. The epigenetic phenotypes in transgenic Nicotiana benthamiana for CaMV 35S-GFP are mediated by spontaneous transgene silencing. Plant Biotechnol Rep. 2011;5:273–281. doi: 10.1007/s11816-011-0182-3. [DOI] [Google Scholar]
  60. Mourrain P, Van Blokland R, Kooter JM, Vaucheret H. A single transgene locus triggers both transcriptional and post-transcriptional silencing through double-stranded RNA production. Planta. 2007;225:365–79. doi: 10.1007/s00425-006-0366-1. [DOI] [PubMed] [Google Scholar]
  61. Gase K, Weinhold A, Bozorov T, Schuck S, Baldwin IT. Efficient screening of transgenic plant lines for ecological research. Mol Ecol Resour. 2011;11:890–902. doi: 10.1111/j.1755-0998.2011.03017.x. [DOI] [PubMed] [Google Scholar]
  62. Mendel GJ. Versuche über Pflanzen-Hybriden. Verhandlungen des Naturforschenden Vereines Brünn. 1866;Bd. IV:3–47. [Google Scholar]
  63. Mishiba K, Yamasaki S, Nakatsuka T, Abe Y, Daimon H, Oda M, Nishihara M. Strict de novo methylation of the 35S enhancer sequence in gentian. PLoS One. 2010;5:e9670. doi: 10.1371/journal.pone.0009670. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. An G, Ebert PR, Yi B, Choi C. Both TATA box and upstream regions are required for the nopaline synthase promoter activity in transformed tobacco cells. Mol Gen Genet. 1986;203:245–250. doi: 10.1007/BF00333961. [DOI] [Google Scholar]
  65. Cokus SJ, Feng S, Zhang X, Chen Z, Merriman B, Haudenschild CD, Pradhan S, Nelson SF, Pellegrini M, Jacobsen SE. Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning. Nature. 2008;452:215–219. doi: 10.1038/nature06745. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Meyer P, Heidmann I, Niedenhof I. Differences in DNA-methylation are associated with a paramutation phenomenon in transgenic petunia. Plant J. 1993;4:89–100. doi: 10.1046/j.1365-313X.1993.04010089.x. [DOI] [PubMed] [Google Scholar]
  67. Kanazawa A, O’Dell M, Hellens RP. Epigenetic inactivation of Chalcone Synthase-A transgene transcription in petunia leads to a reversion of the post-transcriptional gene silencing phenotype. Plant Cell Physiol. 2007;48:638–47. doi: 10.1093/pcp/pcm028. [DOI] [PubMed] [Google Scholar]
  68. Saxena P, Hsieh Y-C, Alvarado VY, Sainsbury F, Saunders K, Lomonossoff GP, Scholthof HB. Improved foreign gene expression in plants using a virus-encoded suppressor of RNA silencing modified to be developmentally harmless. Plant Biotechnol J. 2011;9:703–12. doi: 10.1111/j.1467-7652.2010.00574.x. [DOI] [PubMed] [Google Scholar]
  69. Müller E, Lörz H, Lütticke S. Variability of transgene expression in clonal cell lines of wheat. Plant Sci. 1996;114:71–82. doi: 10.1016/0168-9452(95)04312-8. [DOI] [Google Scholar]
  70. Smulders MJM, Klerk GJ. Epigenetics in plant tissue culture. Plant Growth Regul. 2010;63:137–146. [Google Scholar]
  71. Schmülling T, Röhrig H. Gene silencing in transgenic tobacco hybrids: frequency of the event and visualization of somatic inactivation pattern. Mol Gen Genet. 1995;249:375–90. doi: 10.1007/BF00287099. [DOI] [PubMed] [Google Scholar]
  72. Park Y-D, Papp I, Moscone EA, Iglesias VA, Vaucheret H, Matzke AJM, Matzke MA. Gene silencing mediated by promoter homology occurs at the level of transcription and results in meiotically heritable alterations in methylation and gene activity. Plant J. 1996;9:183–194. doi: 10.1046/j.1365-313X.1996.09020183.x. [DOI] [PubMed] [Google Scholar]
  73. Okano Y, Miki D, Shimamoto K. Small interfering RNA (siRNA) targeting of endogenous promoters induces DNA methylation, but not necessarily gene silencing, in rice. Plant J. 2008;53:65–77. doi: 10.1111/j.1365-313X.2007.03313.x. [DOI] [PubMed] [Google Scholar]
  74. Kasai M, Koseki M, Goto K, Masuta C, Ishii S, Hellens RP, Taneda A, Kanazawa A. Coincident sequence-specific RNA degradation of linked transgenes in the plant genome. Plant Mol Biol. 2012;78:259–73. doi: 10.1007/s11103-011-9863-0. [DOI] [PubMed] [Google Scholar]
  75. Yamasaki S, Oda M, Daimon H, Mitsukuri K, Johkan M, Nakatsuka T, Nishihara M, Mishiba K. Epigenetic modifications of the 35S promoter in cultured gentian cells. Plant Sci. 2011;180:612–9. doi: 10.1016/j.plantsci.2011.01.008. [DOI] [PubMed] [Google Scholar]
  76. Cherdshewasart W, Gharti-Chhetri G, Saul M. Expression instability and genetic disorders in transgenic Nicotiana plumbaginifolia L. plants. Transgenic. 1993;2:307–320. doi: 10.1007/BF01976171. [DOI] [Google Scholar]
  77. Molnar A, Melnyk CW, Bassett A, Hardcastle TJ, Dunn R, Baulcombe DC. Small silencing RNAs in plants are mobile and direct epigenetic modification in recipient cells. Science. 2010;328:872–5. doi: 10.1126/science.1187959. [DOI] [PubMed] [Google Scholar]
  78. Tournier B, Tabler M, Kalantidis K. Phloem flow strongly influences the systemic spread of silencing in GFP Nicotiana benthamiana plants. Plant J. 2006;47:383–94. doi: 10.1111/j.1365-313X.2006.02796.x. [DOI] [PubMed] [Google Scholar]
  79. Kalantidis K, Schumacher HT, Alexiadis T, Helm JM. RNA silencing movement in plants. Biol Cell. 2008;100:13–26. doi: 10.1042/BC20070079. [DOI] [PubMed] [Google Scholar]
  80. Brosnan CA, Mitter N, Christie M, Smith NA, Waterhouse PM, Carroll BJ. Nuclear gene silencing directs reception of long-distance mRNA silencing in Arabidopsis. Proc Natl Acad Sci USA. 2007;104:14741–14746. doi: 10.1073/pnas.0706701104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Matzke MA, Mette MF, Matzke AJ. Transgene silencing by the host genome defense: implications for the evolution of epigenetic control mechanisms in plants and vertebrates. Plant Mol Biol. 2000;43:401–415. doi: 10.1023/A:1006484806925. [DOI] [PubMed] [Google Scholar]
  82. Wassenegger M. Gene silencing-based disease resistance. Transgenic Res. 2002;11:639–53. doi: 10.1023/A:1021130127700. [DOI] [PubMed] [Google Scholar]
  83. Hobbs SL, Kpodar P, DeLong CM. The effect of T-DNA copy number, position and methylation on reporter gene expression in tobacco transformants. Plant Mol Biol. 1990;15:851–64. doi: 10.1007/BF00039425. [DOI] [PubMed] [Google Scholar]
  84. Nocarova E, Opatrny Z, Fischer L. Successive silencing of tandem reporter genes in potato (Solanum tuberosum) over 5 years of vegetative propagation. Ann Bot. 2010;106:565–72. doi: 10.1093/aob/mcq153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Eike MC, Mercy IS, Aalen RB. Transgene silencing may be mediated by aberrant sense promoter sequence transcripts generated from cryptic promoters. Cell Mol Life Sci. 2005;62:3080–91. doi: 10.1007/s00018-005-5301-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Kawakatsu T, Wakasa Y, Yasuda H, Takaiwa F. RNA silencing induced by an artificial sequence that prevents proper transcription termination in rice. Plant Physiol. 2012;160:601–12. doi: 10.1104/pp.112.202689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Luo Z, Chen Z. Improperly terminated, unpolyadenylated mRNA of sense transgenes is targeted by RDR6-mediated RNA silencing in Arabidopsis. Plant Cell. 2007;19:943–58. doi: 10.1105/tpc.106.045724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Matzke AJ, Matzke MA. Position effects and epigenetic silencing of plant transgenes. Curr Opin Plant Biol. 1998;1:142–148. doi: 10.1016/S1369-5266(98)80016-2. [DOI] [PubMed] [Google Scholar]
  89. Nagaya S, Kato K, Ninomiya Y, Horie R, Sekine M, Yoshida K, Shinmyo A. Expression of randomly integrated single complete copy transgenes does not vary in Arabidopsis thaliana. Plant Cell Physiol. 2005;46:438–44. doi: 10.1093/pcp/pci039. [DOI] [PubMed] [Google Scholar]
  90. Qin H, Dong Y, Von Arnim AG. Epigenetic interactions between Arabidopsis transgenes: characterization in light of transgene integration sites. Plant Mol Biol. 2003;52:217–31. doi: 10.1023/A:1023941123149. [DOI] [PubMed] [Google Scholar]
  91. Kumpatla SP, Teng W, Buchholz WG, Hall TC. Epigenetic transcriptional silencing and 5-azacytidine-mediated reactivation of a complex transgene in rice. Plant Physiol. 1997;115:361–73. doi: 10.1104/pp.115.2.361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Ma C, Mitra A. Intrinsic direct repeats generate consistent post-transcriptional gene silencing in tobacco. Plant J. 2002;31:37–49. doi: 10.1046/j.1365-313X.2002.01332.x. [DOI] [PubMed] [Google Scholar]
  93. Baroux C, Raissig MT, Grossniklaus U. Epigenetic regulation and reprogramming during gamete formation in plants. Curr Opin Genet Dev. 2011;21:124–33. doi: 10.1016/j.gde.2011.01.017. [DOI] [PubMed] [Google Scholar]
  94. Slotkin RK, Vaughn M, Borges F, Tanurdzić M, Becker JD, Feijó JA, Martienssen RA. Epigenetic reprogramming and small RNA silencing of transposable elements in pollen. Cell. 2009;136:461–472. doi: 10.1016/j.cell.2008.12.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Wollmann H, Berger F. Epigenetic reprogramming during plant reproduction and seed development. Curr Opin Plant Biol. 2012;15:63–9. doi: 10.1016/j.pbi.2011.10.001. [DOI] [PubMed] [Google Scholar]
  96. Hsieh T-F, Ibarra CA, Silva P, Zemach A, Eshed-Williams L, Fischer RL, Zilberman D. Genome-wide demethylation of Arabidopsis endosperm. Science. 2009;324:1451–4. doi: 10.1126/science.1172417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Gehring M, Bubb KL, Henikoff S. Extensive demethylation of repetitive elements during seed development underlies gene imprinting. Science. 2009;324:1447–51. doi: 10.1126/science.1171609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Ibarra CA, Feng X, Schoft VK, Hsieh T-F, Uzawa R, Rodrigues JA, Zemach A, Chumak N, Machlicova A, Nishimura T, Rojas D, Fischer RL, Tamaru H, Zilberman D. Active DNA demethylation in plant companion cells reinforces transposon methylation in gametes. Science. 2012;337:1360–1364. doi: 10.1126/science.1224839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Majewski P, Wołoszyńska M, Jańska H. Developmentally early and late onset of Rps10 silencing in Arabidopsis thaliana: genetic and environmental regulation. J Exp Bot. 2009;60:1163–78. doi: 10.1093/jxb/ern362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Boerjan W, Bauw G, Van Montagu M, Inzé D. Distinct phenotypes generated by overexpression and suppression of S-adenosyl-L-methionine synthetase reveal developmental patterns of gene silencing in tobacco. Plant Cell. 1994;6:1401–14. doi: 10.1105/tpc.6.10.1401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Krizova K, Fojtova M, Depicker A, Kovarik A. Cell culture-induced gradual and frequent epigenetic reprogramming of invertedly repeated tobacco transgene epialleles. Plant Physiol. 2009;149:1493–504. doi: 10.1104/pp.108.133165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Lambe P, Dinant M, Matagne RF. Differential long-term expression and methylation of the hygromycin phosphotransferase (hph) and β-glucuronidase (GUS) genes in transgenic pearl millet (Pennisetum glaucum) callus. Plant Sci. 1995;108:51–62. doi: 10.1016/0168-9452(95)04124-D. [DOI] [Google Scholar]
  103. Ruiz-García L, Cervera MT, Martínez-Zapater JM. DNA methylation increases throughout Arabidopsis development. Planta. 2005;222:301–6. doi: 10.1007/s00425-005-1524-6. [DOI] [PubMed] [Google Scholar]
  104. Brown JCL, De Decker MM, Fieldes MA. A comparative analysis of developmental profiles for DNA methylation in 5-azacytidine-induced early-flowering flax lines and their control. Plant Sci. 2008;175:217–225. doi: 10.1016/j.plantsci.2008.03.023. [DOI] [Google Scholar]
  105. Teixeira FK, Heredia F, Sarazin A, Roudier F, Boccara M, Ciaudo C, Cruaud C, Poulain J, Berdasco M, Fraga MF, Voinnet O, Wincker P, Esteller M, Colot V. A role for RNAi in the selective correction of DNA methylation defects. Science. 2009;323:1600–4. doi: 10.1126/science.1165313. [DOI] [PubMed] [Google Scholar]
  106. Mutskov V, Felsenfeld G. Silencing of transgene transcription precedes methylation of promoter DNA and histone H3 lysine 9. EMBO J. 2004;23:138–49. doi: 10.1038/sj.emboj.7600013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Kong Q, Wu M, Wang Z, Zhang X, Li L, Liu X, Mu Y, Liu Z. Effect of trichostatin A and 5-Aza-2′-deoxycytidine on transgene reactivation and epigenetic modification in transgenic pig fibroblast cells. Mol Cell Biochem. 2011;355:157–65. doi: 10.1007/s11010-011-0849-7. [DOI] [PubMed] [Google Scholar]
  108. Soitamo AJ, Jada B, Lehto K. HC-Pro silencing suppressor significantly alters the gene expression profile in tobacco leaves and flowers. BMC Plant Biol. 2011;11:68. doi: 10.1186/1471-2229-11-68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Kakutani T, Jeddeloh JA, Flowers SK, Munakata K, Richards EJ. Developmental abnormalities and epimutations associated with DNA hypomethylation mutations. Proc Natl Acad Sci USA. 1996;93:12406–12411. doi: 10.1073/pnas.93.22.12406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Gruntman E, Qi Y, Slotkin RK, Roeder T, Martienssen RA, Sachidanandam R. Kismeth: analyzer of plant methylation states through bisulfite sequencing. BMC Bioinforma. 2008;9:371. doi: 10.1186/1471-2105-9-371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Finnegan EJ, Peacock WJ, Dennis ES. Reduced DNA methylation in Arabidopsis thaliana results in abnormal plant development. Proc Natl Acad Sci USA. 1996;93:8449–8454. doi: 10.1073/pnas.93.16.8449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Miguel C, Marum L. An epigenetic view of plant cells cultured in vitro: somaclonal variation and beyond. J Exp Bot. 2011;62:3713–25. doi: 10.1093/jxb/err155. [DOI] [PubMed] [Google Scholar]
  113. Meins F. Heritable variation in plant cell culture. Ann Rev Plant Physiol. 1983;34:327–346. doi: 10.1146/annurev.pp.34.060183.001551. [DOI] [Google Scholar]
  114. Kaeppler S, Phillips R. Tissue culture-induced DNA methylation variation in maize. Proc Natl Acad Sci USA. 1993;90:8773–8776. doi: 10.1073/pnas.90.19.8773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Chakrabarty D, Yu KW, Paek KY. Detection of DNA methylation changes during somatic embryogenesis of Siberian ginseng (Eleuterococcus senticosus) Plant Sci. 2003;165:61–68. doi: 10.1016/S0168-9452(03)00127-4. [DOI] [Google Scholar]
  116. Mishiba K, Nishihara M, Nakatsuka T, Abe Y, Hirano H, Yokoi T, Kikuchi A, Yamamura S. Consistent transcriptional silencing of 35S-driven transgenes in gentian. Plant J. 2005;44:541–56. doi: 10.1111/j.1365-313X.2005.02556.x. [DOI] [PubMed] [Google Scholar]
  117. Verhoeven KJF, Jansen JJ, Van Dijk PJ, Biere A. Stress-induced DNA methylation changes and their heritability in asexual dandelions. New Phytol. 2010;185:1108–18. doi: 10.1111/j.1469-8137.2009.03121.x. [DOI] [PubMed] [Google Scholar]
  118. Lang-Mladek C, Popova O, Kiok K, Berlinger M, Rakic B, Aufsatz W, Jonak C, Hauser M-T, Luschnig C. Transgenerational inheritance and resetting of stress-induced loss of epigenetic gene silencing in Arabidopsis. Mol Plant. 2010;3:594–602. doi: 10.1093/mp/ssq014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Holeski LM, Jander G, Agrawal AA. Transgenerational defense induction and epigenetic inheritance in plants. Trends Ecol Evol. 2012;27:618–26. doi: 10.1016/j.tree.2012.07.011. [DOI] [PubMed] [Google Scholar]
  120. Hammami R, Ben Hamida J, Vergoten G, Fliss I. PhytAMP: a database dedicated to antimicrobial plant peptides. Nucleic Acids Res. 2009;37:D963–968. doi: 10.1093/nar/gkn655. Database issue. [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Krügel T, Lim M, Gase K, Halitschke R, Baldwin IT. Agrobacterium-mediated transformation of Nicotiana attenuata, a model ecological expression system. Chemoecology. 2002;12:177–183. doi: 10.1007/PL00012666. [DOI] [Google Scholar]
  122. Bubner B, Gase K, Baldwin IT. Two-fold differences are the detection limit for determining transgene copy numbers in plants by real-time PCR. BMC Biotechnol. 2004;4:14. doi: 10.1186/1472-6750-4-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Heath EM. U.S. Patent Publication No. 5973137 Low pH RNA isolation reagents, method, and kit. Minneapolis: Gentra Systems, Inc; 1999. [Google Scholar]
  124. Frommer M, McDonald LE, Millar DS, Collis CM, Watt F, Grigg GW, Molloy PL, Paul CL. A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands. Proc Natl Acad Sci USA. 1992;89:1827–31. doi: 10.1073/pnas.89.5.1827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  125. Warnecke PM, Stirzaker C, Melki JR, Millar DS, Paul CL, Clark SJ. Detection and measurement of PCR bias in quantitative methylation analysis of bisulphite-treated DNA. Nucleic Acids Res. 1997;25:4422–6. doi: 10.1093/nar/25.21.4422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Henderson IR, Chan SR, Cao X, Johnson L, Jacobsen SE. Accurate sodium bisulfite sequencing in plants. Epigenetics. 2010;5:47–9. doi: 10.4161/epi.5.1.10560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Hetzl J, Foerster AM, Raidl G, Mittelsten Scheid O. CyMATE: a new tool for methylation analysis of plant genomic DNA after bisulphite sequencing. Plant J. 2007;51:526–36. doi: 10.1111/j.1365-313X.2007.03152.x. [DOI] [PubMed] [Google Scholar]
  128. Grunau C, Schattevoy R, Mache N, Rosenthal A. MethTools–a toolbox to visualize and analyze DNA methylation data. Nucleic Acids Res. 2000;28:1053–8. doi: 10.1093/nar/28.5.1053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Crooks GE, Hon G, Chandonia J-M, Brenner SE. WebLogo: a sequence logo generator. Genome Res. 2004;14:1188–90. doi: 10.1101/gr.849004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Pluskota WE, Qu N, Maitrejean M, Boland W, Baldwin IT. Jasmonates and its mimics differentially elicit systemic defence responses in Nicotiana attenuata. J Exp Bot. 2007;58:4071–82. doi: 10.1093/jxb/erm263. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1

Fold difference of transgene expression in consecutive generations.

Click here for file (24.2KB, docx)
Additional file 2

NOS promoter methylation between sensitive and resistant seedlings of line ICE 10.1.A, Methylation status of the NOS promoter among isogenic seedlings from line ICE 10.1. Different methylation sites (CG, CHG and CHH) were indicated by different colors. Analysis was performed by CyMATE [127]. B. Phenotypes of 10-day-old seedlings used for DNA isolation and bisulfite conversion. Isogenic seedlings of line ICE 10.1.2 were divided into sensitive and resistant seedlings and analyzed separately. Mean methylation rate from five clones is shown for the individual methylation sites (CG, CHG and CHH). (± SEM, n = 5 clones).

Click here for file (1.6MB, pdf)
Additional file 3

Detail of 35S promoter methylation analysis of individual clones. Tissue harvested 15, 30, 45 and 60 days post germination of lines ICE 4.4 (T2) and ICE 4.4.1 (T3); ICE 1.1 (T2), ICE 1.1.1 (T3) and ICE 1.1.1.1 (T4); PNA 1.2 (T2) and PNA 1.2.1 (T3); PNA 10.1 (T2) and PNA 10.1.1 (T3); PNA 8.6 (T2) and PNA 8.6.1 (T3).

Click here for file (2.3MB, pdf)
Additional file 4

Sequence preference in CHH methylation sites. The nucleotide composition of 8-mer sequences around the CHH sites (methylated cytosine in the fifths position) divided in groups with low methylation (0–9%), medium methylation (10–49%) and high methylation (50–100%) frequencies. The pooled frequency data of lines ICE 4.4.1, PNA 1.2.1 and PNA 10.1.1 derived from one time point (60 dpg T3). The logo graphically illustrates the sequence enrichment at particular positions around the methylation site. Maximum sequence conservation is 2 bit, no nucleotide preference is 0 bit. Figures were made with WebLogo 3 [129].

Click here for file (326KB, pdf)
Additional file 5

Inheritance of the silenced allele after reciprocal crossing with wild-type. The hybrid offspring (hemizygous to the transgene) should be theoretically fully resistant to hygromycin B. The silenced state of the transgene was equally distributed to subsequent generations. A, Percentage of sensitive seedlings after crossing (± SD, n = 3 plants). B, Phenotypes of seedlings on hygromycin B containing GB5 media.

Click here for file (5.5MB, pdf)
Additional file 6

Transgene silencing in line ir-ACX1.A, Jasmonic acid accumulation 1 h after wound and oral secretion treatment in rosette leaves of ir-ACX1 and wild-type plants. The T3 generation of ir-ACX1 lost their capacity to suppress jasmonic acid accumulation [37]. B, The T3 seedlings from line ir-ACX1 (A-07-468) developed sensitivity to hygromycin B. C, Transgene activity indicated by jasmonic acid accumulation determined in wound and oral secretion treated leaves of secondary regenerated ir-ACX1 lines. A reduced accumulation of jasmonic acid after wounding compared to wild-type (WT) indicated a functional IR-construct. D, Hygromycin sensitivity of T4 seedlings (direct descendants of the plants used for wound treatment) indicates an ongoing silencing process (±SD, n = 3 plants).

Click here for file (1.7MB, pdf)
Additional file 7

Phenotypes after secondary regeneration. A, Photographs of T3 seedlings collected from secondary regenerants of line ICE 4.4 and PNA 1.2. Cell culture-induced variations resulted in variegated pattern of sensitivity on hygromycin B containing GB5 media. B, Photographs of T4 generation seedlings collected from fully resistant secondary regenerated plants. As positive and negative controls conventional propagated T4 seedlings are shown.

Click here for file (6.2MB, pdf)

Articles from BMC Plant Biology are provided here courtesy of BMC

RESOURCES