Next Article in Journal
Genome-Wide Identification of circRNAs in Pathogenic Basidiomycetous Yeast Cryptococcus neoformans Suggests Conserved circRNA Host Genes over Kingdoms
Previous Article in Journal
In a quest for engineering acidophiles for biomining applications: challenges and opportunities
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Brief Report

Environmental Temperature Controls Accumulation of Transacting siRNAs Involved in Heterochromatin Formation

1
Molecular Cell Dynamics, Centre for Human and Molecular Biology, Saarland University, 66123 Saarbrücken, Germany
2
Cluster of Excellence, Multimodal Computing and Interaction, Saarland University and Department for Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
3
Genetics/Epigenetics, Centre for Human and Molecular Biology, Saarland University, 66123 Saarbrücken, Germany
*
Author to whom correspondence should be addressed.
Current address: Molecular Cell Biology and Microbiology, Wuppertal University, Gausstraße 20, V.12.070, 42097 Wuppertal, Germany
These authors contributed equally to this work.
Genes 2018, 9(2), 117; https://doi.org/10.3390/genes9020117
Submission received: 4 January 2018 / Revised: 6 February 2018 / Accepted: 12 February 2018 / Published: 21 February 2018
(This article belongs to the Section Population and Evolutionary Genetics and Genomics)

Abstract

:
Genes or alleles can interact by small RNAs in a homology dependent manner meaning that short interfering (siRNAs) can act in trans at the chromatin level producing stable and heritable silencing phenotypes. Because of the puzzling data on endogenous paramutations, their impact contributing to adaptive evolution in a Lamarckian manner remains unknown. An increasing number of studies characterizes the underlying siRNA accumulation pathways using transgene experiments. Also in the ciliate Paramecium tetraurelia, we induce trans silencing on the chromatin level by injection of truncated transgenes. Here, we characterize the efficiency of this mechanism at different temperatures showing that silencing of the endogenous genes is temperature dependent. Analyzing different transgene constructs at different copy numbers, we dissected whether silencing efficiency is due to varying precursor RNAs or siRNA accumulation. Our data shows that silencing efficiency correlates with more efficient accumulation of primary siRNAs at higher temperatures rather than higher expression of precursor RNAs. Due to higher primary levels, secondary siRNAs also show temperature dependency and interestingly increase their relative proportion to primary siRNAs. Our data shows that efficient trans silencing on the chromatin level in P. tetraurelia depends on environmental parameters, thus being an important epigenetic factor limiting regulatory effects of siRNAs.

1. Introduction

Next to the post-transcriptional inactivation of gene expression by short interfering RNA (siRNA) or micro RNAs (miRNA), epigenetic silencing of genes occurs on the chromatin level involving siRNAs targeting loci for histone modifications in a homology dependent manner. Strikingly, this kind of co-transcriptional silencing represents a self-enforcing feedback mechanism, thus enabling self-replicating epigenetic states [1]. In addition, trans-generational epigenetic gene silencing by small RNAs has been shown in many model systems ranging from ciliates to plants and animals, although such mechanisms in mammals are still under debate [2,3]. However, heritable epigenetic silencing could be a powerful adaptation processes in a Lamarckian manner.
The ability of siRNAs to act in trans to another allele or homologous locus appears to be restricted. In Schizosaccharomyces pombe, for instance, gene position effects as well as siRNA abundance are important factors [4,5]. Therefore, many individual parameters need to be taken into account whether siRNAs can act in trans or not. Next to the individual characteristics of a specific pathway including its genetic requirements and the amount of precursor produced, environmental issues also need to be considered. Paramutations, meaning the heritable silencing of homologous alleles are quantitative events being sensitive to environmental stressors or growth conditions [6]. Also in animals (Drosophila melanogaster and Caenorhabditis elegans), trans silencing by siRNAs in a paramutative manner has been observed [7,8]. Although trans silencing and paramutation can be followed in C. elegans using different exogenic reporters, many endogenous genes are protected from silencing although a subset of genes indeed follows the behavior of the exogenic transgene reporters [7]. Although these findings tempt speculation on the evolutionary impact of this kind of quantitative epigenetics, the molecular basis of quantitative silencing is hardly understood in this context. As induced epigenetic modifications and their potential trans-generational persistence cannot be a general genome wide phenomenon rather than limited to individual plastic genes, we need to understand what makes genes sensitive for trans silencing, thus discriminating between epigenetic stability or variability [9].
Paramecium tetraurelia is a unicellular model in genetics and epigenetics [10]. RNA interference (RNAi) can be triggered by feeding of dsRNA producing bacteria similar to C. elegans [11] or by injection of truncated transgenes [12,13,14]. Both pathways apparently differ in their siRNAs and genetic requirements, although individual components such as Dicer1 (DCR1) and RNA dependent RNA polymerase 2 (RDR2) are shared [15,16,17]. Silencing endogenous genes by injection of transgenes producing incomplete mRNA triggers accumulation of 23 nt siRNAs. These primary (1 ) siRNAs can act in trans to endogenous remote loci triggering loss of activating H3K4me3 and H3K9ac and accumulation of H3K27me3. Similar to the mechanism of co-transcriptional silencing, the remote locus then produces secondary (2 ) siRNAs with strong antisense bias and 23 nt lenght with decreasing coverage from the 5 - to the 3 - end of the open reading frame [17]. Although we know that silencing of DCR1, RDR2, RDR3, PTIWI13 and PTIWI14 reduced the amount of 1 and 2 siRNAs, we still cannot dissect which components are responsible for 2 siRNA accumulation [17]. In addition, the precise role of the two PIWI proteins in 1 siRNA accumulation remains unclear. We show in this paper that this process depends on the environmental temperature. In contrast to homoiothermic animals, P. tetraurelia is a poikilothermic species. Thus, this single cell has to guarantee that all metabolic pathways run properly at the environmental temperature similar to the problems that plants and several homoiothermic animals face. It has been known for a long time that paramecia tolerate a broad spectrum of temperatures ranging from 4 C to almost 37 C for stable cultivation [18,19]. Our data here indicate that the RNAi machinery rather than the transcription of a differential precursor is responsible for differential siRNA accumulation at different environmental temperatures.

2. Materials and Methods

2.1. Cell Culture, Transgenic Lines and Phenotypic Characterization

Paramecium tetraurelia strain 51 was cultivated in wheat grass powder medium (WGP, Pines International Co., Lawrence, KS, USA) supplemented with 0.8 μ g/mL β -sitosterol and inoculated with Klebsiella pneumoniae. Transformation of single cells was performed by using microinjection as described before [15]. The pTI- and pTI-/- constructs were described in [17]. Successfully transfected cells were validated by GFP expression and cultivated at 4 C to build up a stock and prevent autogamy. Cells of a transgenic line were split and slowly adapted to the indicated experimental temperature (18 C, 26 C, 31 C). The efficiency of the ND169 gene silencing triggered by the transfected construct was observed by trichocyst discharge using picric acid.

2.2. DNA Isolation and Southern Blots

Intact macronuclear chromosomes were isolated by lysing cells in 0.5 M EDTA pH 9; 1% sarcosyl; 1% SDS; 0.25 mg/mL Proteinase K and incubation at 55 C over night. After phenol extraction and dialysis against TE buffer for 48 h, the DNA was digested with RNAse A and additionally extracted with phenol. Agarose gel electrophoresis and Southern blots were carried out by standard capillary procedures including depurination.

2.3. Total RNA Isolation and Northern Blots

Probes for hybridizations to long nucleic acids were generated by PCR products (nucleotide position 701-1733 for ND169 and position 12-559 for GFP). Biotin labeling using Klenow exo- and random decamers was carried out using the BiotinDeca Labeling Kit (Thermo Fisher, Waltham, MA, USA). Hybridizations to Northern and Southern blots were carried out at 60 C in Church buffer. Signals were visualized by alkaline phosphatase (Biotin Chromogenic detection Kit, Thermo Fisher).

2.4. Non-Radioactive Labeling and Hybridizations

Probes for hybridizations to long nucleic acids were generated by PCR products (nucleotide position 701-1733 for ND169 and position 12-559 for GFP). Biotin labeling using Klenow exo- and random decamers was carried out using the BiotinDeca Labeling Kit (Thermo Fisher, Waltham, MA, USA). Hybridizations to Northern and Southern blots were carried out at 60 C in Church buffer. Signals were visualized by alkaline phosphatase (Biotin Chromogenic detection Kit, Thermo Fisher).

2.5. Small Interfering RNA Northern Blot Analysis

For small RNA Northern blots, 50 μ g total RNA were separated on a 40cm urea polyacrylamid gel (15%, 19:1 acrylamid:bis) and vacuum blotted in 20xSSC to Hybond N+ membranes (GE/Amersham). Radiolabeling of probes was carried out with [ α -32P] dCTP (3000 Ci/mmol) using random octamers and Klenow exo-. Oligos complementary to the marker and Gln tRNA were 5 -labeled with T4 polynucleotid kinase using [ γ -32P] ATP (3000 Ci/mmol) as described before [15]. Signals were detected using a Typhoon Trio Phosphoimager system (GE, Munich, Germany). Primers for the vector specific probe of the pTI- plasmid from position 817-2543 relative to the GFP start codon in the pTI- plasmid.

2.6. Short RNA Library Preparation, Illumina Sequencing and Bioinformatics Analyses

Small RNAs (17–25 nt size) from 20 μ g total RNA were size selected by gel extraction using a 17.5% urea acrylamid mini-gel, visualized with SYBR-Gold (Life-Technologies, Darmstadt, Germany). Gel slices were cut and RNA was eluted by overnight incubation in 3 Vol. using 0.3M NaCl at 4 C, RNA was precipitated using 3 Vol. Ethanol (100%) and Glycogen (70 ng/ μ L) and afterwards subjected to library preparation using the NEBNext small RNA library prep Kit (New England Biolabs, Frankfurt a.M., Germany), according to the manufacturer’s instructions (3 -adapter ligation extended to 18h at 16 C). Sequencing was done on the Illumina HiSEQ 2500 platform (Illumina, San Diego, CA, USA) using the RAPID mode and 30 nt read length. Reads (1.9; 6.7; 5.5 million Mac mapping reads, respectively) were de-multiplexed and adapter sequences were trimmed using Trim Galore [20] that uses Cutadapt [21] with a stringency cutoff of 10. SmallRNA read alignments to transgenes and normalization of reads were carried out precisely as described in [17]. The complete analysis was done using the RAPID pipeline [22].

2.7. Long RNA Library Preparation and Sequencing

For long RNA Library preparation, 8 μ g total RNA was treated with DNaseI (2.5U, Qiagen, Hilden, Germany), purified and precipitated using acidic phenol extraction. Furthermore, 1 μ g of the DNA-free RNA was poly-A-enriched using the NEBNext Poly(A) mRNA Magenetic Isolation Module and then subjected to library preparation (NEBNext Ultra Directional RNA Library Prep Kit for Illumina) using 13 PCR cycles. Reads were quality and adapter trimmed (see above) and mapped to the P. tetraurelia Mac genome using STARaligner [23]. Because of the high dynamic range of transcriptomes and temperature dependent GFP over-expression, read coverages were normalized against housekeeping genes instead of TPM/RPM (Transcripts/reads per million) normalization.

3. Results

3.1. Silencing Phenotypes by Truncated Transgenes Depend on the Environmental Temperature

As transgenes injected into the somatic macronucleus are lost when cells start undergoing autogamy or conjugation, the transgene is maintained only in a single generation. Thus, after injection of young cells, transgene cultures are usually maintained in stocks at low temperatures (4–6 C) to limit cell divisions, which is the main factor defining clonal age for ciliates [24].
When going back to stock cultures of constructs that induce homology dependent gene silencing of endogenous remote loci, we realized that these do not show silencing phenotypes and are rather wild type at low temperatures. Figure 1A shows plasmid maps of two transgene constructs (pTI- and pTI-/-) containing truncated versions of the ND169 gene. This gene was frequently used as a reporter gene, as it found to be constitutively expressed during vegetative growth. Its gene product is necessary for membrane fusion during ejections of trichocysts, thus ND169 silenced or mutant cells cannot eject the still existing trichocysts [25].The truncated versions have been shown to accumulate long aberrant RNA triggering siRNA accumulation acting in trans to the endogenous ND169 locus [15,17]. Figure 1B shows that the phenotype mediated by the transgene induced silencing of the ND169 gene increases with the temperature in cultures maintained from 18–31 C indicated by a higher proportion of cells with no trichocyst discharge (Figure 1C). We consequently asked for the reason of the temperature dependency of trans silencing in P. tetraurelia and subsequently analyzed siRNA accumulation as well as precursor RNA abundance to gain insight into the molecular background.

3.2. Cold Temperatures Impede Short Interfering RNA Accumulation

We first asked for the accumulation of siRNAs. Molecular analysis was carried out for two transgenic pTI- lines with either low or high transgene copy number (Figure 2A) to analyze siRNA accumulation by high resolution Northern blots.
As demonstrated in Figure 2B, the band intensity of the 22 nt migrating siRNAs (these correspond to the classical 23 nt siRNAs characterized by deep sequencing [15,17,26]) becomes stronger at high temperatures especially for the high copy number line pTI-1. This is apparent for vector specific siRNAs as well as ND169 specific ones. For the low copy number line pTI-2, Northern blots indicate appearance of the 22 nt band at 31 C along with a loss of the 1 nt background ladder apparent in the 18 C and 26 C lanes. As this background is also apparent for the pTI-1 line, this seems likely due to degradation of the over-expressed aberrant ND169 transgene RNA. Vice versa, siRNA accumulation appears to be temperature specific at least for the Northern blot detectable 1 transgene siRNAs. The altered ratio between background degradation and specific siRNAs let us hypothesize that altered activity of components of the RNAi machinery are responsible for the temperature effect.

3.3. Short Interfering RNA Sequencing Shows Primary and Secondary Short Interfering RNA Temperature Dependency

Previous studies demonstrated that the amount of 1 siRNAs correlates with the phenotype and predominantly depends on the copy number of the injected transgene [17]. Combining the two factors of copy number and phenotype, different copy number lines of the pTI-/- transgene were analyzed for their phenotype. Supplementary Figure S1 shows that we observe a temperature dependency of the phenotype independent of the copy number because all three different pTI-/- transgene lines show more efficient silencing at 31 C. To gain more insight into the siRNA characteristics, siRNA samples from the three different temperatures of the high copy number pTI-/- line were sequenced and mapped to the ND169 gene, thus being able to differentiate between siRNAs of the NDgene region, being predominantly 1 siRNAs and those mapping to the parts missing in the transgene sequence, thus presenting 2 siRNA. Supplementary Figure S2 also shows that, for all analyzed samples and regions, siRNAs are predominantly 23 nt in length; for the 18 C sample, also many more reads at different read lengths can be observed, which may be due to degradation similar to what we observed in Northern blots of Figure 2. Analyzing siRNAs in coverage blots, Figure 3A shows small RNAs normalized to total reads and mapped to the ND169 gene indicating a very similar pattern (see Supplementary Figure S3 for the coverage blot with linear axis). We compared reads normalized to the total of macronucleus mapping reads (see Methods) in a better quantitative manner. Figure 3B–D show that 1 as well as 2 siRNA levels increase with temperature; thus, the temperature effect does not solely contribute to 1 siRNA accumulation. In addition, the ratio of both does not appear to be constant as Figure 3E shows that, with increasing temperatures, more 2 relative to 1 siRNAs accumulate. However, we cannot conclude whether this is the result or the reason for higher silencing efficiency.

3.4. Increased Short Interfering RNA Accumulation Is Not Due to Increased Precursor RNA Levels

To determine whether increased levels of 1 short interfering RNAs are due to higher precursor RNA abundance, total RNA from different temperatures was subjected to Northern blots and sequencing. Figure 4A shows a Northern blot hybridized with ND169 and GFP specific probes. We detect a transcript of approx. 3.2 knt (the distance of the promoter to the linearization site) with the ND169 probe showing decreasing intensity with increasing temperature (endogenous ND169 mRNA at approx 1.8 knt is usually not detectable in Northern blots). The same is apparent for the GFP mRNA. Although we cannot exclude that the latter is due to post-transcriptional inactivation or sensitivity of the GFP mRNA, we can confirm this in fluorescence analysis revealing decreasing intensity with increasing temperature (Figure 4B). Decreasing levels of ND169 transgene RNA can also be confirmed by sequencing. Figure 4C shows coverage blots of un-normalized data indicating no differences in splice efficiency in reads predominantly deriving from the transgene (NDgene region). Normalizing the ND169 coverage to tubulin, an approximately two-fold decrease can be observed at 31 C (Figure 4D) consistent with Northern blot analysis.
In summary, these analyses indicate that both transcripts driven by the bidirectional promoter show temperature sensitivity, but our analyses do not allow conclusions whether this is due to transcriptional- or post-transcriptional regulation. However, we can conclude that increased siRNA accumulation is not the result of increased precursor abundance. More likely, the RNAi machinery involved in this particular pathway appears to work more efficiently at higher temperatures, thus leading to more efficient trans silencing from the very same amount of injected transgene. The relatively increased 2 siRNA abundance supports the conclusion of a more efficient siRNA accumulation pathway. Taking advantage of a transcriptome resource of P. tetraurelia, Figure 5 shows temperature dependent expression data of the known RNAi components involved in transgene induced silencing resulting from poly-A enriched RNAseq of vegetative paramecia [19]. These data indicate that most of the components show surprisingly slightly lower mRNA steady state levels at higher temperatures (DCR1, RDR3, RDR2, PTIWI14, CID2). The only component showing temperature dependent induction appears to be PTIWI13. As this effect appears to be quite strong, PTIWI14, vice versa, shows the strongest reduction. Although we still do not know why two PIWI proteins are necessary for this pathway, their ratio seems to be inversely correlated in a temperature dependent manner. Future studies will need to clarify the contribution of these two PIWIs to temperature dependent trans acting siRNA accumulation.

4. Discussion

In this report, we describe that a known pathway for epigenetic interaction between two distinct genetic loci in P. tetraurelia depends on the environmental temperature. Our data indicates that the efficiency of the silencing phenotype strongly increases with the temperature. This is accompanied by increased accumulation of 1 siRNAs derived from the injected transgene sequence. We therefore conclude that that temperature dependent silencing efficiency is due to altered siRNA biogenesis/accumulation efficiency rather due to altered chromatin remodeling activity or altered precursor transcription. In addition, our data shows that with increasing temperature the relative proportion of 2 siRNAs also increases, which fosters our conclusion that altered siRNA accumulation criteria are involved in this temperature effect. Our current data comprises steady state analyses and we cannot entirely rule out the possibility that other factors e.g., nuclear export of precursor RNA or transcriptional regulation of the transgene RNA could be temperature dependent parameters. However, loss of unspecific degradation products of transgene RNA (vector and ND169) with increasing temperatures supports our conclusion of altered siRNA biogenesis. Until now, the individual role of the two distinct RDRs and PIWI proteins involved in transgene induced silencing remains unclear [17]. However, our finding that at least the two PIWIs show inverse temperature dependent expression is consistent with the above hypothesis.
Stress related dependency of siRNA interacting alleles was reported for plants and nematodes. Nuclear RNAi in nematodes, for instance, represses heat stress activation of genes at the transcriptional level, thus buffering the transcriptome against environmental alterations and, as heat stress activation of such genes is heritable in nuclear RNAi mutants, also protecting sexual progeny [27]. In yeast, heat stress has been shown to free Dicer from inactive cytoplasmic aggregates, which then re-localizes into the nucleus repressing the activation of stress genes, thus also representing one more example of epigenetic robustness involving a negative feedback loop [28]. However, these reports of stress induced effects are different to what we observe here. Cultures described in this study were long time adapted to the different cultivation temperatures for at least five days and did not undergo heat stress. A previous transcriptome analysis of cultures cultivated at the same temperatures did not reveal an activation of the known heat shock proteins at 31 C [19]. Our data indicates a gradual increase of transgene siRNA rather than stress related accumulation. Such a behavior was reported in a similar manner for RNAi mediated virus defense and transgene silencing in Nicotiana benthamiana [29]. It has been shown in A. thaliana that these two pathways are indeed similar, but differ in the RDR involved [30,31]. The opposite, temperature insensitivity, was, however, reported for perennial grapevines, suggesting that the individual RNAi pathway evolved efficiency/activity according to the life strategy of species because grapevines also need to guarantee cell metabolism and virus defense at low temperatures in contrast to herbaceous plants [32]. In this context, the broad range of temperatures that paramecia can adapt to would be an argument against optimizing RNAi to individual temperatures. We can only speculate here that P. tetraurelia could adapt its RNAi machinery to different environments as also suggested by the differential expression of PIWI proteins discussed above. One may also take into account that this ciliates genome consists of a broad variety of individual RNAi components such as as eight Dicers/Dicer-like, four RDRs and 17 PIWI proteins [15,26,33,34]. We therefore need further investigations as to whether diversification and functional specialization of individual RNAi components goes along with differential expression and therefore differential assembly of, for instance, RDRC or PIWI complexes, thus generating functional adapted RNAi complexes depending on environmental circumstances. A recent analysis of endogenous siRNA clusters and their variation along the temperature gradient also supports this idea as we see alternating siRNA accumulation from approx. 1.000 expressed genes (Simon/Schulz, submitted). Thus, the transgene data of this study may be applied to many endogenous loci as well. Further biochemical analyses are required to solve the high complex formation of different RNAi machineries in this model system to study RNAi based transcriptome plasticity.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4425/9/2/117/s1, Figure S1: Silencing phenotypes of three different pTI-/- lines with low (A), medium (B) and high (C) transgene copy number at different temperatures. The percentage of cells categorized by Trich-, Trich+/- and Trich+ after exposure to picric acid is shown. Figure S2: Read length distribution of small RNA reads from different cultivation temperatures mapping to individual regions of the transgene (NDgene) or the endogenous ND169 gene (ND-1, ND-2). Sense reads are indicated green, antisense reads in orange) Figure S3: Coverage plot of normalized siRNA reads, scaled to a sequencing depth of ten million reads. The linear coverage (18 C in light blue, 26 C in orange and 31 C in red) across the pTI-/- construct is shown. Sense and antisense reads are separated.

Acknowledgments

This work was supported by grants from the German research Council (DFG) to M.S. (SI1379/3-1) and to (SCHU3140/1-1). M.P. receives a undergraduate scholarship by the German Academic Scholarship Foundation.

Author Contributions

M.P. and U.G. performed the experiments and analyzed the data. S.K. and M.H.S. processed and analyzed small RNA data. K.N. analyzed long RNA data and contributed NGS analysis tools. M.S. conceived the study and wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

References

  1. Holoch, D.; Moazed, D. RNA-mediated epigenetic regulation of gene expression. Nat. Rev. Genet. 2015, 16, 71–84. [Google Scholar] [CrossRef] [PubMed]
  2. Neeb, Z.T.; Nowacki, M. RNA-mediated transgenerational inheritance in ciliates and plants. Chromosoma 2017, 1–9. [Google Scholar] [CrossRef] [PubMed]
  3. Sarkies, P.; Miska, E.A. Small RNAs break out: The molecular cell biology of mobile small RNAs. Nat. Rev. Mol. Cell Biol. 2014, 15, 525–535. [Google Scholar] [CrossRef] [PubMed]
  4. Bühler, M.; Verdel, A.; Moazed, D. Tethering RITS to a nascent transcript initiates RNAi- and heterochromatin-dependent gene silencing. Cell 2006, 125, 873–886. [Google Scholar] [CrossRef] [PubMed]
  5. Simmer, F.; Buscaino, A.; Kos-Braun, I.C.; Kagansky, A.; Boukaba, A.; Urano, T.; Kerr, A.R.; Allshire, R.C. Hairpin RNA induces secondary small interfering RNA synthesis and silencing in trans in fission yeast. EMBO Rep. 2010, 11, 112–118. [Google Scholar] [CrossRef] [PubMed]
  6. Hollick, J.B. Paramutation and related phenomena in diverse species. Nat. Rev. Genet. 2017, 18, 5–23. [Google Scholar] [CrossRef] [PubMed]
  7. Sapetschnig, A.; Sarkies, P.; Lehrbach, N.J.; Miska, E.A. Tertiary siRNAs mediate paramutation in C. elegans. PLoS Genet. 2015, 11, e1005078. [Google Scholar] [CrossRef] [PubMed]
  8. De Vanssay, A.; Bougé, A.L.; Boivin, A.; Hermant, C.; Teysset, L.; Delmarre, V.; Antoniewski, C.; Ronsseray, S. Paramutation in Drosophila linked to emergence of a piRNA-producing locus. Nature 2012, 490, 112–115. [Google Scholar] [CrossRef] [PubMed]
  9. Tricker, P.J. Transgenerational inheritance or resetting of stress-induced epigenetic modifications: Two sides of the same coin. Front. Plant Sci. 2015, 6. [Google Scholar] [CrossRef] [PubMed]
  10. Simon, M.; Plattner, H. Unicellular eukaryotes as models in cell and molecular biology: Critical appraisal of their past and future value. Int. Rev. Cell Mol. Biol. 2014, 309, 141–198. [Google Scholar] [PubMed]
  11. Galvani, A.; Sperling, L. RNA interference by feeding in Paramecium. Trends Genet. 2002, 18, 11–12. [Google Scholar] [CrossRef]
  12. Ruiz, F.; Vayssié, L.; Klotz, C.; Sperling, L.; Madeddu, L. Homology-dependent gene silencing in Paramecium. Mol. Biol. Cell 1998, 9, 931–943. [Google Scholar] [CrossRef] [PubMed]
  13. Garnier, O.; Serrano, V.; Duharcourt, S.; Meyer, E. RNA-mediated programming of developmental genome rearrangements in Paramecium tetraurelia. Mol. Cell. Biol. 2004, 24, 7370–7379. [Google Scholar] [CrossRef] [PubMed]
  14. Galvani, A.; Sperling, L. Transgene-mediated post-transcriptional gene silencing is inhibited by 3 non-coding sequences in Paramecium. Nucleic Acids Res. 2001, 29, 4387–4394. [Google Scholar] [CrossRef] [PubMed]
  15. Marker, S.; Le Mouel, A.; Meyer, E.; Simon, M. Distinct RNA-dependent RNA polymerases are required for RNAi triggered by double-stranded RNA versus truncated transgenes in Paramecium tetraurelia. Nucleic Acids Res. 2010, 38, 4092–4107. [Google Scholar] [CrossRef] [PubMed]
  16. Marker, S.; Carradec, Q.; Tanty, V.; Arnaiz, O.; Meyer, E. A forward genetic screen reveals essential and non-essential RNAi factors in Paramecium tetraurelia. Nucleic Acids Res. 2014, 42, 7268–7280. [Google Scholar] [CrossRef] [PubMed]
  17. Götz, U.; Marker, S.; Cheaib, M.; Andresen, K.; Shrestha, S.; Durai, D.A.; Nordström, K.J.; Schulz, M.H.; Simon, M. Two sets of RNAi components are required for heterochromatin formation in trans triggered by truncated transgenes. Nucleic Acids Res. 2016, 44, 5908–5923. [Google Scholar] [CrossRef] [PubMed]
  18. Beale, G.H. The Genetics of Paramecium Aurelia; Cambridge University Press: Cambridge, UK, 1954. [Google Scholar]
  19. Cheaib, M.; Dehghani Amirabad, A.; Nordstrom, K.J.; Schulz, M.H.; Simon, M. Epigenetic regulation of serotype expression antagonizes transcriptome dynamics in Paramecium tetraurelia. DNA Res. 2015, 22, 293–305. [Google Scholar] [CrossRef] [PubMed]
  20. Babraham Bioinformatics. Available online: http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/ (accessed on 19 February 2018).
  21. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBO J. 2011, 17. [Google Scholar] [CrossRef]
  22. Karunanithi, S.; Simon, M.; Schulz, M.H. Automated analysis of small RNA datasets with RAPID. Presented at the 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB), Prague, Czech Republic, 21–25 July 2017. [Google Scholar]
  23. Dobin, A.; Davis, C.A.; Schlesinger, F.; Drenkow, J.; Zaleski, C.; Jha, S.; Batut, P.; Chaisson, M.; Gingeras, T.R. STAR: Ultrafast universal RNA-seq aligner. Bioinformatics 2013, 29, 15–21. [Google Scholar]
  24. Chalker, D.L.; Meyer, E.; Mochizuki, K. Epigenetics of ciliates. In Epigenetics, 2nd ed.; Allis, C.D., Caparros, M.-L., Jenuwein, T., Reinberg, D., Lachner, M., Eds.; Cold Spring Harbor Laboratory Press: Cold Spring Harbor, NY, USA, 2015; pp. 313–335. [Google Scholar]
  25. Froissard, M.; Keller, A.M.; Dedieu, J.C.; Cohen, J. Novel secretory vesicle proteins essential for membrane fusion display extracellular-matrix domains. Traffic 2004, 5, 493–502. [Google Scholar] [CrossRef] [PubMed]
  26. Lepere, G.; Nowacki, M.; Serrano, V.; Gout, J.F.; Guglielmi, G.; Duharcourt, S.; Meyer, E. Silencing-associated and meiosis-specific small RNA pathways in Paramecium tetraurelia. Nucleic Acids Res. 2008, 37, 903–915. [Google Scholar] [CrossRef] [PubMed]
  27. Ni, J.Z.; Kalinava, N.; Chen, E.; Huang, A.; Trinh, T.; Gu, S.G. A transgenerational role of the germline nuclear RNAi pathway in repressing heat stress-induced transcriptional activation in C. elegans. Epigenet. Chromatin 2016, 9, 3. [Google Scholar] [CrossRef] [PubMed]
  28. Oberti, D.; Biasini, A.; Kirschmann, M.A.; Genoud, C.; Stunnenberg, R.; Shimada, Y.; Bühler, M. Dicer and HSP104 function in a negative feedback loop to confer robustness to environmental stress. Cell Rep. 2015, 10, 47–61. [Google Scholar] [CrossRef] [PubMed]
  29. Szittya, G.; Silhavy, D.; Molnár, A.; Havelda, Z.; Lovas, Á.; Lakatos, L.; Bánfalvi, Z.; Burgyán, J. Low temperature inhibits RNA silencing-mediated defence by the control of siRNA generation. EMBO J. 2003, 22, 633–640. [Google Scholar] [CrossRef] [PubMed]
  30. Voinnet, O. RNA silencing as a plant immune system against viruses. Trends Genet. 2001, 17, 449–459. [Google Scholar] [CrossRef]
  31. Dalmay, T.; Hamilton, A.; Rudd, S.; Angell, S.; Baulcombe, D.C. An RNA-dependent RNA polymerase gene in Arabidopsis is required for posttranscriptional gene silencing mediated by a transgene but not by a virus. Cell 2000, 101, 543–553. [Google Scholar] [CrossRef]
  32. Romon, M.; Soustre-Gacougnolle, I.; Schmitt, C.; Perrin, M.; Burdloff, Y.; Chevalier, E.; Mutterer, J.; Himber, C.; Zervudacki, J.; Montavon, T.; et al. RNA silencing is resistant to low-temperature in grapevine. PLoS ONE 2013, 8, e82652. [Google Scholar] [CrossRef] [PubMed]
  33. Sandoval, P.Y.; Swart, E.C.; Arambasic, M.; Nowacki, M. Functional diversification of Dicer-like proteins and small RNAs required for genome sculpting. Dev. Cell 2014, 28, 174–188. [Google Scholar] [CrossRef] [PubMed]
  34. Bouhouche, K.; Gout, J.F.; Kapusta, A.; Bétermier, M.; Meyer, E. Functional specialization of PIWI proteins in Paramecium tetraurelia from post-transcriptional gene silencing to genome remodelling. Nucleic Acids Res. 2011, 39, 4249–4264. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Transgene constructs and phenotypes of transgene-induced silencing. (A) overview of constructs. Shown are the endogenous version of the gene ND169 (upper part), the pTI- construct, a 3 -coding region truncated version of the ND169 gene (ND-2) and the pTI-/- construct, with additional deletions of the 5 -coding region (ND-1). Both constructs also contain a GFP gene under control of a bidirectional promoter; (B) quantification of trichocyst discharge phenotypes in pTI-/- lines at the indicated temperatures. Shown are percentages of cells with different categories of trichocyst ejection, ranging between a complete loss of gene expression (Trich-), an intermediate phenotype (Trich+/-) and no silencing (Trich+). Standard deviation and proportions of the different phenotypes are means of three biological replicates, respectively; (C) example of the observed trichocyst phenotypes. Phase contrast pictures show wildtype (WT) cells with full trichocyst discharge (upper panel, Trich+), a partial phenotype with few visible trichocysts (middle panel, Trich+/-) and cells showing efficient silencing and no trichocyst discharge after treatment with picric acid (lower panel, Trich-).
Figure 1. Transgene constructs and phenotypes of transgene-induced silencing. (A) overview of constructs. Shown are the endogenous version of the gene ND169 (upper part), the pTI- construct, a 3 -coding region truncated version of the ND169 gene (ND-2) and the pTI-/- construct, with additional deletions of the 5 -coding region (ND-1). Both constructs also contain a GFP gene under control of a bidirectional promoter; (B) quantification of trichocyst discharge phenotypes in pTI-/- lines at the indicated temperatures. Shown are percentages of cells with different categories of trichocyst ejection, ranging between a complete loss of gene expression (Trich-), an intermediate phenotype (Trich+/-) and no silencing (Trich+). Standard deviation and proportions of the different phenotypes are means of three biological replicates, respectively; (C) example of the observed trichocyst phenotypes. Phase contrast pictures show wildtype (WT) cells with full trichocyst discharge (upper panel, Trich+), a partial phenotype with few visible trichocysts (middle panel, Trich+/-) and cells showing efficient silencing and no trichocyst discharge after treatment with picric acid (lower panel, Trich-).
Genes 09 00117 g001
Figure 2. Analysis of temperature dependent siRNAs in low and high copy number injected transgenic lines. (A) Southern blot of macronuclear DNA isolated from WT and two pTI- lines (pTI-1, pTI-2) hybridized with a GFP specific probe (right). The ethidium bromide stained gel before blotting is shown on the left. The black arrowhead points to transgene mini-chromosomes in the size of the linearized plasmid of approx. 4475 bp with additional telomers. The open arrowhead points to transgene dimers resulting from endogenous end repair. Size of the ladder bands are displayed in kb; (B) Northern blot of siRNAs of the two transgene lines cultivated at the indicated temperatures. The marker is shown on the left (5’-OH), a probe against the glutamin tRNA serves as a loading control. The upper panel shows hybridizations with a vector specific probe, downstream of the truncated ND169 gene region. Below, hybridizations with a ND169 specific probe are shown with low exposure and beneath with longer exposure.
Figure 2. Analysis of temperature dependent siRNAs in low and high copy number injected transgenic lines. (A) Southern blot of macronuclear DNA isolated from WT and two pTI- lines (pTI-1, pTI-2) hybridized with a GFP specific probe (right). The ethidium bromide stained gel before blotting is shown on the left. The black arrowhead points to transgene mini-chromosomes in the size of the linearized plasmid of approx. 4475 bp with additional telomers. The open arrowhead points to transgene dimers resulting from endogenous end repair. Size of the ladder bands are displayed in kb; (B) Northern blot of siRNAs of the two transgene lines cultivated at the indicated temperatures. The marker is shown on the left (5’-OH), a probe against the glutamin tRNA serves as a loading control. The upper panel shows hybridizations with a vector specific probe, downstream of the truncated ND169 gene region. Below, hybridizations with a ND169 specific probe are shown with low exposure and beneath with longer exposure.
Genes 09 00117 g002
Figure 3. Temperature dependency of transgene associated siRNA accumulation. (A) coverage plot of normalized siRNA reads, scaled to a sequencing depth of ten million reads. The log2 coverage at different temperatures (18 C in light blue, 26 C in orange and 31 C in red) across the pTI-/- construct is shown. Sense (topside) and antisense (bottom side) reads are separated; (BD) quantitative analysis of normalized reads mapping to the ND-1 region (B), the NDgene region (C) and the ND-2 region (D) (antisense/grey and sense/black); (E) shows the ratio of total reads of 2 siRNAs (ND-1 and ND-2 region) compared to the amount of reads of 1 siRNAs (NDgene).
Figure 3. Temperature dependency of transgene associated siRNA accumulation. (A) coverage plot of normalized siRNA reads, scaled to a sequencing depth of ten million reads. The log2 coverage at different temperatures (18 C in light blue, 26 C in orange and 31 C in red) across the pTI-/- construct is shown. Sense (topside) and antisense (bottom side) reads are separated; (BD) quantitative analysis of normalized reads mapping to the ND-1 region (B), the NDgene region (C) and the ND-2 region (D) (antisense/grey and sense/black); (E) shows the ratio of total reads of 2 siRNAs (ND-1 and ND-2 region) compared to the amount of reads of 1 siRNAs (NDgene).
Genes 09 00117 g003
Figure 4. Quantification of precursor RNA levels. (A) Northern Blot analysis of ND169 (top section) and GFP (middle section) RNA levels of pTI- cultures at different temperatures (18 C, 26 C and 31 C). 17S ribosomal RNA serves as a loading control (bottom section); (B) analysis of the GFP-Expression in cells of a single transgenic line cultivated at the indicated temperatures. The GFP signals of the cells (right, 790 ms exposition) and the same cell seen in phase contrast (left) are shown; (C) Integrative Genomics Viewer snapshot of sequencing coverage of the ND169 gene region with coverage tracks of a pTI-/- line cultivated at different temperatures. The ND169 gene structure is shown below; (D) ratio of ND169 derived precursor RNA single base coverage from RNAseq-Data, normalized against the single base coverage of the housekeeping gene α-TUBULIN at the indicated temperatures.
Figure 4. Quantification of precursor RNA levels. (A) Northern Blot analysis of ND169 (top section) and GFP (middle section) RNA levels of pTI- cultures at different temperatures (18 C, 26 C and 31 C). 17S ribosomal RNA serves as a loading control (bottom section); (B) analysis of the GFP-Expression in cells of a single transgenic line cultivated at the indicated temperatures. The GFP signals of the cells (right, 790 ms exposition) and the same cell seen in phase contrast (left) are shown; (C) Integrative Genomics Viewer snapshot of sequencing coverage of the ND169 gene region with coverage tracks of a pTI-/- line cultivated at different temperatures. The ND169 gene structure is shown below; (D) ratio of ND169 derived precursor RNA single base coverage from RNAseq-Data, normalized against the single base coverage of the housekeeping gene α-TUBULIN at the indicated temperatures.
Genes 09 00117 g004
Figure 5. Expression levels of known RNAi components involved in transgene-induced silencing at different temperatures (14 C, 24 C or 31 C). Data is shown in average and standard deviation of three biological replicate TPM values [19]. Significant differences are denoted by * (p value < 0.05, Student’s t-test).
Figure 5. Expression levels of known RNAi components involved in transgene-induced silencing at different temperatures (14 C, 24 C or 31 C). Data is shown in average and standard deviation of three biological replicate TPM values [19]. Significant differences are denoted by * (p value < 0.05, Student’s t-test).
Genes 09 00117 g005

Share and Cite

MDPI and ACS Style

Pirritano, M.; Götz, U.; Karunanithi, S.; Nordström, K.; Schulz, M.H.; Simon, M. Environmental Temperature Controls Accumulation of Transacting siRNAs Involved in Heterochromatin Formation. Genes 2018, 9, 117. https://doi.org/10.3390/genes9020117

AMA Style

Pirritano M, Götz U, Karunanithi S, Nordström K, Schulz MH, Simon M. Environmental Temperature Controls Accumulation of Transacting siRNAs Involved in Heterochromatin Formation. Genes. 2018; 9(2):117. https://doi.org/10.3390/genes9020117

Chicago/Turabian Style

Pirritano, Marcello, Ulrike Götz, Sivarajan Karunanithi, Karl Nordström, Marcel H. Schulz, and Martin Simon. 2018. "Environmental Temperature Controls Accumulation of Transacting siRNAs Involved in Heterochromatin Formation" Genes 9, no. 2: 117. https://doi.org/10.3390/genes9020117

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop