Skip to main content

Advertisement

  • Research article
  • Open Access

Gene silencing pathways found in the green alga Volvox carteri reveal insights into evolution and origins of small RNA systems in plants

  • 1,
  • 2, 3,
  • 4, 5,
  • 1,
  • 1,
  • 6,
  • 7,
  • 2,
  • 4,
  • 1 and
  • 1Email author
BMC Genomics201617:853

https://doi.org/10.1186/s12864-016-3202-4

©  The Author(s). 2016

  • Received: 22 April 2016
  • Accepted: 25 October 2016
  • Published:

Abstract

Background

Volvox carteri (V. carteri) is a multicellular green alga used as model system for the evolution of multicellularity. So far, the contribution of small RNA pathways to these phenomena is not understood. Thus, we have sequenced V. carteri Argonaute 3 (VcAGO3)-associated small RNAs from different developmental stages.

Results

Using this functional approach, we define the Volvox microRNA (miRNA) repertoire and show that miRNAs are not conserved in the closely related unicellular alga Chlamydomonas reinhardtii. Furthermore, we find that miRNAs are differentially expressed during different life stages of V. carteri. In addition to miRNAs, transposon-associated small RNAs or phased siRNA loci, which are common in higher land plants, are highly abundant in Volvox as well. Transposons not only give rise to miRNAs and other small RNAs, they are also targets of small RNAs.

Conclusion

Our analyses reveal a surprisingly complex small RNA network in Volvox as elaborate as in higher land plants. At least the identified VcAGO3-associated miRNAs are not conserved in C. reinhardtii suggesting fast evolution of small RNA systems. Thus, distinct small RNAs may contribute to multicellularity and also division of labor in reproductive and somatic cells.

Keywords

  • microRNAs
  • Gene silencing
  • Transposons
  • Small RNAs
  • Evolution
  • Argonaute
  • Volvox carteri

Background

Volvocine algae are a sub-group of green algae ranging from unicellular species such as Chlamydomonas reinhardtii (C. reinhardtii) to the multicellular genus Volvox. V. carteri is a freshwater alga with female and male cells that can reproduce both sexually and asexually and is composed of two different cell types [1]. Asexual forms are characterized by a spheroid that is composed of approx. 2000 somatic cells and encloses several reproductive cells. Each of these so called gonidia can undergo symmetric and asymmetric cell divisions to form a new colony of somatic cells and gonidia [2]. The sexual life cycle is started by a sex-inducing pheromone that can be secreted by male strains and is functional at very low concentrations [3]. Pheromone signaling induces the sexual differentiation program and therefore the generation of egg cells in female strains, while male strains form sperm packages that are subsequently released into the water [4]. Dimorphic sexes have evolved several times in plants, however their origins are unclear. The fact, that the sexually dimorphic and multicellular species V. carteri and the unicellular species C. reinhardtii had a common ancestor about 200 million years ago [5] makes Volvox an ideal system for studying the evolution of these processes [4].

Non-coding RNAs, including small RNAs, have been associated with processes that are crucial to eukaryotic evolution. Small RNAs are processed from longer precursor molecules to their mature forms that are subsequently bound by a member of the Argonaute (AGO) protein family [6]. Argonaute proteins are characterized by distinct domains that anchor both the 5′ and the 3′ end of the small RNA [7]. Some but not all Argonaute proteins are endonucleases and can cleave target RNAs that are complementary to the bound small RNAs [8, 9]. In many organisms, several Argonaute protein genes exist and especially in plants each AGO protein prefers and selects different small RNAs [10]. In land plants, several different pathways that make use of specialized small RNAs are known [10, 11]. For example, short interfering RNAs (siRNAs) are processed from transgene- or virus-derived double stranded (ds) RNAs and guide sequence-specific cleavage of complementary (foreign) RNAs. Furthermore, small RNAs can direct DNA methylation and subsequent gene silencing processes in a pathway known as RNA-dependent DNA methylation (RdDM). MicroRNAs (miRNAs) are processed from endogenous miRNA genes and guide repression of complementary target mRNA expression as a means of gene regulation. Unlike in animals, where miRNAs bind to partially complementary sequences, plant miRNAs mainly repress their target mRNAs by hybridizing to fully complementary sites followed by sequence-specific cleavage. So-called trans acting siRNAs (tasiRNAs) are plant-specific and also regulate gene expression. This pathway is initiated by a miRNA (most prominently miR-390), which guides cleavage of a target. The cleaved transcript is used as template by RNA-dependent RNA polymerases (RdRPs) to generate a long dsRNA, which is cleaved by DCL4 to produce many tasiRNAs thus amplifying the signal. These RNAs, in turn, silence the respective locus by transcript cleavage [12]. Recently, it has been shown in A. thaliana that a miRNA can also guide cleavage of transposon transcripts and, similarly, the cleaved transcript serves as template for dsRNA, which gives subsequently rise to siRNAs that repress transposon expression [13]. SiRNAs and miRNAs have been identified in C. reinhardtii, indicating that small RNA pathways have evolved at early stages of plant evolution [14, 15]. Given the importance of different small RNAs in processes closely associated with multicellular development in land plants, we speculated that they might have played a role in the transition from uni- to multicellularity in green algae. MiRNA candidates have been reported in V. carteri, but their function remains unknown [16].

Here, we have performed small RNA-Seq as well as RNA-Seq of mRNAs from different stages of V. carteri providing a global and comprehensive atlas of gene expression in somatic and reproductive cells. To identify functional small RNAs, we isolated VcAGO3 protein and cloned and deep sequenced associated small RNAs. Using this functional approach, we clearly define miRNAs as well as their specific expression under different conditions. Of note, the identified miRNAs are not conserved in C. reinhardtii. Furthermore, we find miRNAs as well as siRNAs originating from transposons such as Jordan or Kangaroo, for example. Strikingly, miRNAs are not only expressed from transposons but also seem to target such elements, suggesting miRNA-guided repression of transposable elements. Finally, we also provide evidence for loci that generate phased siRNAs similar to tasiRNAs found in A. thaliana. Although green algae and higher land plants including A. thaliana diverged very early and evolution proceeded independently, we provide evidence that many small RNA pathways found in land plants have also evolved in V. carteri.

Results

Transcriptome sequencing and annotation

We sought to characterize expression activity and dynamics not only of small RNAs, but also of mRNAs in V. carteri, since these are often modulated by small RNAs. When we started this study, only very little transcriptomic data had been available for V. carteri in general. We therefore cloned and sequenced RNAs under various experimental conditions (Additional file 1: Table S1). We included somatic cells and gonidia under vegetative growth conditions, somatic cells as well as gonidia after induction of sexual reproduction, along with somatic and egg cells from a female culture (fully differentiated). Using all single-end as well as paired-end sequencing data, a transcriptome assembly was generated in order to analyze mRNA transcripts in more detail. This comprehensive data set enabled us to analyze transcripts and their possible connection to small RNAs in better detail. All RNAseq data are available at the NCBI SRA under PRJNA266874 for further analysis.

AGO-associated small RNAs of V. carteri

To identify functional small RNA pathways in V. carteri, we first examined available transcriptome data and our own RNA-Seq data for the presence of potential factors that are known to be involved in RNA silencing pathways and that are also known to be conserved proteins. We found a PAZ/PIWI domain-containing gene, typical for Argonaute genes, which we refer to as VcAGO3, since a similar transcript had already been annotated at this locus (XM_002952848) (Fig. 1a). Furthermore, we found genes for an additional AGO protein (although we could not amplify the complete transcript from cDNA for this gene so far), one Dicer, one RNA-dependent RNA Polymerase (RdRP) and a HEN1 homolog (Additional file 2: Figure S1), suggesting that several small RNA pathways might operate in V. carteri [10].
Fig. 1
Fig. 1

Characterization of small RNAs associated with VcAGO3. a Domain structure of V. carteri VcAGO3. VcAGO3 contains the canonical domains PAZ and Piwi and a domain of unknown function (DUF1785). Domain borders are indicated by the position of amino acid residues. b Western blot showing the expression and successful immunoprecipitation (IP) of over expressed, myc-tagged VcAGO3 and myc-tagged CrGFP (GFP, codon optimized for C. reinhardtii [49]). T = total lysate; IP = immunoprecipitation. c Size distribution of all small RNA reads associated with VcAGO3 measured by deep sequencing (after adapter trimming and quality filtering, see methods), nt = nucleotide. d Nucleotide frequencies of all small RNAs associated with VcAGO3 (e) Pie chart showing the categorization of all mapped reads. RE, repetitive elements. f Pie chart showing the distribution of all mapped, assigned reads. RE, repetitive elements. g Nucleotide frequencies of all miRNA reads

To identify functional small RNAs, we expressed myc-tagged VcAGO3 in V. carteri by gold particle-mediated plasmid delivery, isolated associated small RNAs by anti-myc immunoprecipitation and cloned and sequenced them (Fig. 1b). The length of the VcAGO3-associated RNAs peaks at 21 and 22 nt (Fig. 1c). While the GC content of the genome of V. carteri is about 60 %, the 5′ terminal nucleotide of the bound small RNAs is mainly uridine, suggesting that the VcAGO3 MID domain accommodates preferentially 5′ terminal uridines, similar to human Ago2 and Arabidopsis Ago1 [17, 18] (Fig. 1d). VcAGO3-associated small RNAs that map to the genome can be grouped into different functional categories including repetitive elements (RE), protein coding regions (sense and antisense), phased siRNAs or miRNAs (Fig. 1e and f). Since the transcriptome and RNA classes in general are only poorly annotated in V. carteri, the identity of the largest part of our library cannot be deduced yet. However, these sequences are bound by VcAGO3 and therefore are presumably functional (see also below and Fig. 4).

To predict miRNAs in Volvox, we utilized the novel miRNA identification tool miRA [19] using criteria adopted from the prediction of miRNAs in C. reinhardtii [14]. In total, 490 miRNAs were predicted when running miRA on the VcAGO3 data set as well as six libraries from different cells and life stages from V. carteri (Additional file 3: Table S2 and Additional file 4: Figure S2). These predicted miRNAs fall into 324 miRNA families (miRNAs with the same sequence, but different genomic location), the largest one comprising 48 members and 67 families had two or more members. The nucleotide preference for VcAGO3-bound miRNAs is even more pronounced towards a U at the 5′ end (Fig. 1g), indicating high specificity of our miRNA identification approach. In conclusion, we identified VcAGO3-associated potential miRNAs in different cell types and under different cellular conditions.

Experimental validation of V. carteri miRNAs

A general feature of small RNAs or miRNAs in particular in plants is a 2′O-methylation at the 3′ end [20]. To test whether our miRNA candidates contain such characteristic modifications, we performed β-elimination experiments with total RNA from somatic cells and reproductive cells (gonidia). In this chemical reaction, an unmethylated 3′ end will lose its terminal base and as a consequence, migrate faster in polyacrylamide gels. As a positive control, an unrelated RNA oligonucleotide with unprotected 3′ end was spiked in prior to the reaction. While the positive control clearly shifted after treatment (Fig. 2a), all analyzed small RNAs from V. carteri migrated at the same length as before indicating that they are indeed modified at their 3’ ends (Fig. 2a). These findings are consistent with the presence of a HEN1 homolog in the V. carteri genome (Additional file 2: Figure S1) and suggest that our candidate RNAs are most likely miRNA.
Fig. 2
Fig. 2

Validation of VcAGO3 and small RNA properties. a β-elimination experiment performed with total RNA from gonidia (reproductive cells) as well as from somatic cells showing that small RNAs in V. carteri are modified and do not shift upon periodate treatment. Control siRNA carries an unprotected 3′OH and therefore shifts towards a smaller size. b Total RNA from somatic cells and reproductive cells in different life stages (vegetative growth, V; induced to the female differentiation program, I; fully differentiated to female, F) was used to validate miRNA by RNA blot. U6 serves as a loading control. All blots shown originate from one membrane. See methods for details on stripping and re-probing of the membrane. c Cleavage assay with VcAGO3, Arabidopsis thaliana (Ath) AGO1 (positive control) and CrGFP (negative control). For VcAGO3, three different small RNAs were selected according to read abundance in the VcAGO3 library, for AtAGO1, two known and abundant miRNAs were chosen. Immunoprecipitated Ago proteins (loaded with their endogenously bound small RNAs) were incubated with 5′ radiolabeled target RNA carrying a perfectly complementary site to the respective small RNA. After incubation, RNA was extracted and run on a gel. To indicate the position of the cleavage product, each target RNA was digested with RNase T1 (cleaves after G’s) to serve as a ladder. The bar on the side of the gel indicates the site of the complementary sequence and putative cleavage site. d Western blot showing the successful immunoprecipitation of myc-VcAGO3, myc-CrGFP and Flag-AthAGO1 used for the cleavage experiment in (c). Western blot was performed with part of the immunoprecipitation reaction used for the cleavage assay. Black bars on the side indicate the location of the bands

After identifying miRNA sequences in V. carteri and establishing that they are modified at their 3′ end, we investigated miRNA expression under varying physiological conditions (Fig. 2b). We harvested samples at different life stages of V. carteri (asexual growth (V), 16 h induction of the sexual program (I) and female sexual differentiation (F)) and the culture from each stage was split into the two different cell types of V. carteri (somatic cells and reproductive cells). RNA blots performed with these samples show that miRNAs are indeed regulated between cell types and some are even regulated during development (Fig. 2b) indicating that V. carteri miRNAs might play an important role not only for cellular maintenance but also during differentiation processes. Of note, the U6 loading control signal is much weaker for the reproductive cells and therefore, only limited comparisons between somatic and reproductive cells can be made.

In plants, functional small RNAs are incorporated into AGO proteins and guide them to complementary target RNAs for cleavage. The VcAGO3 protein has a putative catalytic triad composed of the amino acids DDD. Although the canonical motif for a cleavage-competent Ago protein is DDH, AtAgo2 contains DDD as well and appears to be a catalytically active enzyme [21]. Cleavage activity of AGO proteins is usually necessary for gene silencing in plants, although mechanisms similar to mammalian AGO proteins have also been proposed [22]. In order to test the cleavage activity of AGO proteins, in vitro cleavage assays can be performed in which AGO proteins are purified from cell lysates and incubated with radioactively 5′ end-labeled, artificial targets that are designed to be fully complementary to an endogenous small RNA bound by the respective AGO protein. After the catalytic reaction, the target RNA is cleaved into two pieces with only the 5′ end being detectable due to its radiolabeled 5′ end. In order to test VcAGO3 for catalytic activity, V. carteri cultures were transformed with a plasmid carrying either myc-VcAGO3 or myc-CrGFP (control, GFP codon-optimized for C. reinhardtii). After a short selection period, the cultures were harvested, lysed and an immunoprecipitation (IP) was performed using anti-myc antibodies. Each IP was split into three reactions and cleavage assays were performed using three different small RNA target sequences (Fig. 2c). None of the VcAGO3 reactions generated specific cleavage products (Fig. 2c, lanes 3, 6 and 9), while a Flag-tagged AtAGO1 (used as a positive control) showed clear and strong cleavage activity (Fig. 2c, lanes 11 and 13). All proteins were expressed and precipitated successfully as shown by protein blot (Fig. 2d). VcAGO3 appears to be inactive in standard in vitro cleavage assays. We cannot exclude, however, that VcAGO3 functions as slicer endonuclease under different in vivo conditions.

V. carteri small RNAs associated with transposable elements

To further understand the putative functions of VcAGO3-bound small RNAs, we analyzed their genomic origins in more detail. Interestingly, miR178al and miR357b originate from a transposon termed Jordan (Fig. 3a). Jordan is a highly abundant transposable element, which resembles the transposable elements En/Spm as well as members of the so-called “CACTA” family found also in higher plants [23]. These elements transpose via a DNA intermediate and contain terminal inverted repeats (TIRs). In the case of Jordan, the TIRs cause a secondary structure that is similar to and recognized as a miRNA precursor and each of these elements gives rise to a miRNA (Fig. 3a). Of note, the precursors of the MIR178 and MIR357 families are highly similar to each other, with one family showing a strong expression of the 5′ arm miRNA sequence (MIR178 family), while the other expresses the 3′ arm (MIR357 family) more strongly. Thus, both miRNAs could target each other’s precursors with perfect complementarity (Additional file 5: Figure S3). To support the inferences from our small RNA-Seq experiments, we performed RNA blots using probes against the Jordan-encoded miRNAs (Fig. 3b), which readily validate our sequencing data.
Fig. 3
Fig. 3

Small RNA mapping to transposable elements. a Schematic view of the transposable element Jordan. Location of miRNAs targeting Jordan are marked with black bars. TIR, terminal inverted repeat; nt, nucleotide. b RNA blot validation of the expression two miRNAs encoded by a Jordan element. The hairpin structure of the respective putative precursor is shown to the right. The mature (detected) miRNA strand is depicted in red, the star strand in blue. c Small RNA coverage of the repetitive elements Jordan (upper panel), Gypsy5-I (middle panel) and Gypsy4-I (lowest panel). Diagrams show small RNA coverage over the length of the element for the plus (red) and the minus (blue) strand (consensus sequence from Repbase19.02 was used). The left column shows the reads measured in the VcAGO3 library, the middle column shows reads from the library of somatic cells during vegetative growth and the column on the right shows the reads from the library of reproductive cells during vegetative growth. For Gypsy5-I, black arrows indicate miRNA binding sites which are detailed in the panel below. Grey arrows indicate miRNA binding sites where the miRNA expression itself is rather low

Because transposon-derived miRNAs can trigger a wave of secondary siRNA species in A. thaliana [13], we searched for additional VcAGO3-associated small RNAs from Jordan. We found many small RNAs originating mainly from the 5′ 0.5 kb portion (Fig. 3c, upper panel). Whether these transposon-derived siRNAs depend on the Jordan-encoded miRNAs is currently unknown. Furthermore, we analyzed Jordan for potential miRNA target sites and found that several V. carteri miRNAs can target Jordan (Fig. 3a, black bars). Again, these target sites are largely located in the 5′ 0.5 kb portion of Jordan. Taken together, our data suggest that the transposon Jordan not only generates two miRNAs and a number of siRNAs, but might also be targeted by the VcAGO3-associated small RNA system, presumably to repress Jordan expression. Of note, VcAGO3 appears to be catalytically inactive in vitro (Fig. 2a). This might suggest that cleavage-independent silencing mechanisms (e.g. transcriptional silencing by heterochromatin formation) could be active in this process.

We next analyzed whether other transposons are similar sources of different classes of small RNAs. Close examination of VcAGO3-associated small RNAs did not reveal miRNA genes that are encoded by transposons and pass our annotation criteria. However, transposons such as Gypsy5-I (Fig. 3c, middle panel) or Gypsy4-I (bottom panel) produce a large number of VcAGO3-associated siRNAs. Furthermore, Gypsy5-I is in addition targeted by MIR414 and MIR254. Strikingly, a global analysis of our sequencing data revealed that most transposons give rise to small RNAs (Additional file 6: Figure S4), suggesting control of expression through small RNA-guided gene silencing pathways.

At least one miRNA, miR178al, appears to be expressed more strongly in reproductive cells (Fig. 3b), which might suggest that Jordan expression is generally lower in such cells. Indeed, our RNAseq data reveals that less Jordan-derived reads were cloned from reproductive cells compared to somatic cells. Generally, we observe, with some exceptions, a tendency of reduced transposon activity in reproductive cells (Additional file 7: Figure S5) suggesting repression of such elements in reproductive cells.

Other V. carteri small RNAs

In A. thaliana, tasiRNAs are produced from RNAs that are specifically cleaved by miRNAs such as miR390. Biogenesis involves dsRNA synthesis by RDR6 and cleavage by DCL4, which progressively cleaves the RNA from the ends and produces phased tasiRNAs [24]. Since we find a putative RdRP in the V. carteri genome, we examined our VcAGO3-associated siRNAs for phased siRNA signatures. Indeed, we found several loci that produce phased siRNAs. Most prominently, phased siRNA loci can be found within the transposon Kangaroo (Fig. 4a). Whether these siRNAs require miRNA-guided cleavage as observed for tasiRNAs in A. thaliana, is unclear. Similar to other transposons, Kangaroo produces various other VcAGO3-associated small RNAs in addition to the phased siRNAs (Fig. 4a upper part and b). To further investigate phased siRNAs, we performed RNA blots (Fig. 4c). The two most abundant single phased siRNAs were readily detectable, with the highest expression in reproductive female cells.
Fig. 4
Fig. 4

Phased siRNAs and highly expressed small RNAs of unknown function. a Exemplary genetic locus of a Kangaroo element harboring predicted phased siRNA loci. Upper panel: all reads measured in the VcAGO3 IP library, middle panel: read coverage of the predicted phased siRNA loci, lower panel: bar depiction of phased siRNA loci (black bars) and Kangaroo (blue). b Coverage of small RNAs associated with VcAGO3 of the consensus sequence (Repbase19.02) of the repetitive element Kangaroo. Red bars represent reads mapping to the plus strand, blue bars represent reads mapping to the negative strand. c Validation of expression of small RNA originating from a predicted phased RNA locus. d All reads of the putative intergenic fraction that are associated with VcAGO3 are displayed. The x-axis of the diagram represents the length of an artificial genome sequence that was created by aligning all available genome scaffolds in a row. This sequence was divided into 50 kb long sections and all reads that were mapped falling into one section were summed up and displayed by blue bars. The location for an exceptionally high read count was marked next to the corresponding bar. The number below each scaffold indicates the starting point of that section within the scaffold. Lower panel: blow-up of the section in scaffold 12 with the highest read count. e Pie chart visualizing the amount of small RNAs reads stemming from highly expressed hotspots from d with respect to all reads. f Validation of expression by RNA blot. The small RNA with the highest read count within the respective scaffold section (see d) was blotted. g Total RNA isolated from C. reinhardtii (Cre) or V. carteri (Vca) was blotted and robed for the indicated small RNAs. sRNA sequences of C. reinhardtii were taken from Molnar et al. [14]

A large portion of the VcAGO3-bound small RNAs did not fit into any known small RNA category, but could be aligned to the genome, indicating that they originated from V. carteri, and not from a potential associated microbe. In fact, about 11 % of the putative intergenic reads (7 % of total reads) came from eight specific loci (Fig. 4d and e), further supporting that such sequences are likely not due to promiscuous binding of VcAGO3 to RNA degradation products. The specificity is further supported by the observation that most of the small RNAs within a peak are identical. It is also unlikely that these reads are unspecifically amplified during library construction since RNA blots supported robust expression and stability (Fig. 4f). For expression analysis, we performed Northern blotting of total RNA obtained from somatic and reproductive cells. Probes directed against the most prominent scaffolds (Fig. 4d) are readily detectable thus suggesting that these reads are indeed abundant small RNAs (Fig. 4f). It is therefore tempting to speculate that these VcAGO3-associated reads might represent a novel class of small RNAs.

Comparative genomics of small RNAs in green algae

Our sequencing data demonstrate that V. carteri contains many miRNA candidates. It has been shown before that C. reinhardtii expresses miRNAs and other small RNA classes [14, 15]. Since both species are closely related, we analyzed conservation of our VcAGO3-associated miRNAs. For direct examination, total RNA from V. carteri as well as C. reinhardtii was extracted and several miRNAs were assayed with RNA blots (Fig. 4g). Indeed, V. carteri MIR322a is not detected in C. reinhardtii. Vice versa, a number of sRNAs were only found in C. reinhardtii but not in V. carteri samples. Subsequently, a global analysis of miRNA sequences was performed using multiple sequence alignments of every miRNA of V. carteri with every miRNA of C. reinhardtii [25] or the liverwort Pellia endiviifolia [26]. Consistent with our RNA blot experiments, these global analyses revealed very little conservation between V. carteri and C. reinhardtii (Additional file 8: Figure S6A) or V. carteri and P. endiviifolia (Additional file 8: Figure S6B). Only three miRNAs had before been reported as potentially conserved between C. reinhardtii and P. endiviifolia [26].

Discussion

We have cloned and sequenced VcAGO3-associated small RNAs from different V. carteri stages. Since we select for VcAGO3-bound small RNAs only, it is very likely that we identify functional small RNAs and minimize background cloning that would contaminate our libraries. Indeed, our VcAGO3 pull down approach allows for a clear definition of V. carteri miRNAs [19]. Of note, our miRNAs are distinct from those reported recently [16]. This might be due to different V. carteri strains that have been used or, more likely, to mis-annotation of miRNAs as a result of background sequencing from total RNA samples.

An intriguing observation from our small RNA profiles was that many VcAGO3-bound small RNAs originate from transposons. Different classes including miRNAs, siRNAs and even phased siRNAs have been identified in conjunction with transposons. Since miRNA genes are encoded by the transposon Jordan, it is conceivable that this mobile genetic element influences spreading of miRNA genes and might therefore contribute to evolution. Furthermore, transposons are at the same time targeted by miRNAs suggesting that miRNAs might repress the expression of such elements. In addition, transposons appear to produce large numbers of siRNAs especially in reproductive cells. It is therefore likely that transposon targeting by small RNAs might be involved in repressing transposable elements in reproductive cells, a phenomenon that is often observed in animals [27]. Interestingly, computational analyses have suggested that both A. thaliana and Oryza sativa have transposable elements that encode simultaneously siRNAs and miRNAs [28]. Whether this suggests a common origin, or convergent evolution of such mechanisms in algae and land plants is unclear.

Our analyses reveal also interesting evolutionary aspects when analyzing conservation of closely related species. At least the VcAGO3-associated miRNAs are not conserved in the closely related single cellular alga C. reinhardtii, suggesting evolution of different miRNAs presumably required for multicellularity and division of labor between somatic and reproductive cells. This is remarkable given that so many protein-coding genes are well conserved between the two species. It will be interesting to analyze whether other small RNAs, e.g. small RNAs that target transposable elements such as Jordan, are conserved. Our findings suggest that targeting such mobile genetic elements by the small RNA pathways developed very early during evolution and the last universal common ancestor of all eukaryotes used such strategies already.

Conclusion

We conclude from our analyses that VcAGO3 not only associates with miRNAs but also many other classes of functional small RNAs. These small RNAs are most likely not conserved in C. reinhardtii suggesting evolution of small RNA repertoires that are important for multicellularity and the division of labor. Interestingly, a distinct portion of the VcAGO3-associated small RNAs is derived from transposable elements. These include miRNAs, classical siRNAs and even phased siRNAs, which are common to higher land plants. Taken together, our data identify an extended small RNA system in V. carteri, which appears to be as complex as in higher plants.

Methods

Separation of cell types

About 5000 asexual growing V. carteri spheroids at the stage shortly before the onset of embryogenesis were collected by filtration on a 100 μm mesh nylon screen and broken by passing them through a 0.6 mm hypodermic needle. The suspension was filtered on a 100 μm mesh nylon screen, which allows free reproductive cells (gonidia), free somatic cells and small fragments of the somatic cell layer to pass but retaining larger fragments of somatic cell layers nearly free from gonidia. The filtrate was passed in a second step through a 40 μm mesh nylon screen which retained only gonidia and small fragments of the somatic cell layer. The resuspended residue was allowed to settle down repeatedly in a small volume separating the reproductive cells from somatic cell layers.

The separation of gonidia and somatic cell layers of sexual induced V. carteri spheroids at the stage shortly before the onset of embryogenesis and 16 h after application of the sex-inducing pheromone was done in the same manner as described above.

The separation of egg cells and somatic cells of sexual growing V. carteri spheroids 64 h after application of the sex-inducing pheromone was done in a modified procedure: Egg cells were set free by passing the spheroids twice through a 0.5 mm hypodermic needle. A first filtration step on a 40 μm mesh nylon screen retained large fragments of the somatic cell layer. Egg cells which pass through were collected on a 10 μm mesh nylon screen and purified further by let them settle down repeatedly in a small volume. The residue of the first filtration step was dissociated once more by passing through a 0.4 mm hypodermic needle. Fragments of the somatic cell layer were collected on a 40 μm mesh nylon screen.

Production of stable V. carteri strains using the gold particle gun

Precipitation of DNA (plasmids) onto gold-microcarriers

For each transformation, 10 μg of plasmid DNA encoding the selection marker (pPmr3, see [29]) and 10 μg plasmid encoding the target gene were used. The DNA solution was added to 0.5 μmol gold particles while mixing vigorously. Continuing the shaking, 125 μmol CaCl2 (50 μl of 2.5 M) and 2 μmol spermidin (20 μl of 100 mM) were added. The mixture was further incubated at 4 °C for 30 min under continuous shaking. To precipitate the DNA onto the gold, 200 μl of 100 % ethanol were added, followed by a short centrifugation step (3–4 s at 8000 rpm). The gold particles were washed three times with ice cold 100 % ethanol and taken up in a total volume of 40 μl. The particles were stored on ice until transformation.

Nuclear transformation

Nuclear transformation was carried out according to Jakobiak et al., 2004 [29]. One aliquot of gold particles were used to transform V. carteri spheroids from one Fernbach flask. For this, the gold particle mixture was spread over the center of 6 macrocarriers (fixed in their metal carriers). The macrocarriers were warmed on a heating block at 37 °C to evaporate residual ethanol. One macrocarrier, stopping screen and rupture disk (900 psi) were placed into the apparatus. The V. carteri spheroids were harvested using a sieve and spread in its center. The sieve was placed directly below the macrocarriers. Transformation was carried out under vacuum using the biolistic PDS 1000/He particle gun (BioRad Laboratories, Hercules, USA). For one transformation, the V. carteri spheroids were six times spread on the sieve, bombarded with gold particles and submerged in V. carteri medium during change of the carriers and disks.

Following bombardment, the spheroids were split into ten petri dishes containing 30 ml medium. Two days after transformation, 30 μg/ml paromomycin (selection marker) was added to each plate. After selection of paromomycin positive clones, the concentration was decreased to 10 μg/ml.

Cloning and sequencing of RNA transcripts

The RNA Seq libraries were generated from 4 μg total RNA per sample. The TruSeq Sample Preparation Kit (Illumina) was used according to the manufacturer’s instructions. The only derivation of the protocol was the substitution of the Superscript II reverse transcriptase with the Superscript III reverse transcriptase (both Life Technologies). Accordingly, the cDNA synthesis temperature was raised from 42 °C to 50 °C. Libraries of two biological replicates were generated on different days and sequenced on a HiSeq 2000 at the facilities of Illumina in a 100 bp paired end run. Additionally, the same libraries were sequenced in single runs (100 bp) with GATC (Konstanz, Germany). For the generation of strand-specific libraries, samples of all cells in all life stages were pooled. Total RNA was enriched for mRNA using the polyA Purist Kit (Life Technologies Cat No AM1919). Library was made with SOLiD total RNA-seq kit (Life Technologies Cat No 4445374) in accordance with manufacturer’s protocol and sequence on SOLiD 3 platform.

Northern blotting

Northern blotting was performed as described before [30]. In short, 5–10 μg of total RNA were run on a 12 % urea gel (UreaGel System, National diagnostics). For determining the approximate size of the small RNAs, ribooligonucleotides with a length of 19, 21 and 24 nucleotides (nt) were labeled with 32P prior to loading. The gel was run for 1 h at 250–350 V and semi-dry blotted onto an Amersham Hybond-N membrane (GE Healthcare) at 20 V for 30 min. Cross-linking with EDC-solution was performed at 50 °C for 1 h. The membrane was subsequently rinsed in water, dried and incubated with hybridization solution at 50 °C. After pre-hybridization, a radiolabeled probe antisense to the target small RNA was added and incubated over night at 50 °C. For labeling, 20 pmol of the probe (DNA oligonucleotide) were incubated with 20 μCi of 32P in a T4 PNK reaction (Fermentas) and it was purified with a G-25 column (GE Healthcare). After the incubation, the membrane was washed twice with 5xSSC, 1 % SDS, once with 1xSSC, 1 % SDS and wrapped in saran. The detection of signals was performed by the exposure to a screen and scanning with the PMI (Biorad).

For the re-probing of a membrane, the membrane was incubated with hot water with 0.1 % SDS for at least 15 min on a tumbler. The membrane was exposed to a screen for at least overnight to control for residual signal.

For the assessment of band heights when the radioactive marker had faded, the distance between the blue dye band heights was measured (marked with pencil on the membrane before blotting) as well as the distances of the marker bands to the blue dye bands. These figures were used to estimate band heights in later blots.

Data analysis

Analysis of RNA-Seq data

All small RNA sequencing data were adapter- and quality score-trimmed (trailing/leading base Phred score > 20). Resulting reads were aligned to the V. carteri reference genome version 9.0 [31] using tophat2/bowtie2 [32].

Paired-end total RNA sequencing data were also adapter- and quality score-trimmed (trailing/leading base Phred score > 30), and aligned to the same V. carteri reference genome version 9.0.

Transcriptome assembly

Paired-end and single-end reads from libraries V1-V12 were mapped each separately to the V. carteri genome assembly vc199 (Phytozome v.8 [31]) using TopHat software v.1.4.1 [33] and separate de novo transcriptome assemblies were generated for each library using Cufflinks software V 2.0.1 [33] with default parameters. Next, all assemblies were merged using cuffmerge program from the Cufflinks package. Finally, transcript orientation was corrected by mapping strand-specific SOLiD RNA-seq data on the transcripts using Bowtie software v.0.12.7 [32] and assigning particular orientation if the number of reads mapping to one strand was at least two times greater than the number of reads mapping to the opposite strand. In cases where this was not possible, no strand correction was performed.

Identification of transcripts with a putative role in RNAi

HHblits [34], which is part of the HHsuite, was used to search for fragments of RNAi processing proteins in the transcriptome of V. carteri. We used the current transcript assembly v.2 of the JGI (Joint Genome Institute), which is freely available at the Phytozome 10 database [31]. In addition, the transcriptome data generated by us was used for this analysis (see paragraph above). HHblits requires for each protein to be searched for a hidden-Markov-model (HMM) to be generated by the user. These HMMs constitute a custom database, which was compiled according to the protocol detailed in chapter 3.4 of the HHSuite User Guide (downloaded from https://toolkit.tuebingen.mpg.de). To initiate the compilation of the respective HHMs, the following proteins from Arabidopsis thaliana were used as a seed: DCL4 (UniProtKB ID P84634), DCL1 (Q9SP32), HEN1 (Q9C5Q8) and RdRP6 (Q9SG02). For the search of additional Argonaute genes, the modified V. carteri AGO3 was used. For each sequence, a multiple sequence alignment was created by using HHblits applied to the database uniprot20_2013_03 from the EBI (http://www.uniprot.org/). As required, secondary structure was predicted by means of psipred_3.5 [35] and added to the HHblits alignments. The compilation of the database was finalized according to the above-mentioned protocol. Since the open reading frames of annotated V. carteri proteins were not always supporting full-length proteins with start and stop codons, different protein sequences were created. DNA was translated in the six putative reading frames to protein sequences by means of methods from the Biophython package (https://github.com/biopython/biopython.github.io/). HHblits hits with an E-value ≤ 10E−5 were considered important and further processed. Next, the genomic locus of each transcript was extracted and the list of transcripts was sorted accordingly. Transcripts were grouped according to coverage of the query protein, e.g. for Argonaute, two transcripts in close proximity with one encoding the N-terminal and the other encoding the C-terminal part were considered to be an important hit. To further validate the candidate genes, the protein search algorithm of Pfam version 27.0 [36] and Panther HMM Sequence Scoring [37] were employed to identify single important domains in the respective transcripts.

miRNA identification

The miRNA identification was performed using the novel miRNA identification tool miRA [19]. miRA does not assume sequence conservation, and was developed to characterize the miRNA landscape in organisms exhibiting heterogeneous miRNA precursor populations. Key parameters were chosen based on an analysis of miRBase-annotated miRNAs in C. reinhardtii. Details involving the identification method can be found in Evers et al. [19].

Annotation of other small RNAs

Reads overlapping annotated exons of mRNA transcripts were assigned to the mRNA fraction. Gene annotations were based on the V. carteri reference genome version 9.0 [31]. Since there are no databases listing V. carteri rRNA and tRNA genes in full, reads were mapped against the database entries for C. reinhardtii tRNAs (PlantRNA database, [38] and rRNAs from A. thaliana (SILVA database, [39] and the order Volvocales (exported from GenBank, NCBI). Repeats were assigned using Repbase Update 19.02 [40], phased RNAs were predicted using the ta-si prediction tool from the UEA small RNA Workbench [41] which is based on the algorithm by Chen et al. [42].

miRNA target prediction

Potential miRNA targets in V. carteri were identified by requiring the following set of matching rules between the miRNA seed region and complementary mRNA binding site (adapted from [14]): (a) the binding site of the miRNA should have no more than four mismatches, (b) there should not be a mismatch at positions 10 an 11 of the miRNA, because complementarity here is required for cleavage, (c) there should not be adjacent mismatches at positions 2–12, (d) no more than two adjacent mismatches for positions > 12 are allowed and (e) there should be no bulge in the miRNA.

Mapping of small RNAs to repetitive elements

To investigate transcription of small RNAs from repetitive elements, the following strategy was employed: Small RNA reads were mapped to a list of RepBase-derived V. carteri repeat elements using tophat2/bowtie2. Overall the AgoIP sequencing library showed the strongest repeat element-associated expression, with Kangaroo, Gypsy3–5, and Jordan being amongst the most highly expressed repeat elements in the sample.

Generation of logos

All sequence logos were based on the adapter- and quality score-trimmed reads, and were generated using the R package motifStack (Ou and Zhu, R package version 1.12.0).

Generation of multiple sequence alignment

All sequences of miRNAs of V. carteri and C. reinhardtii (miRBase) were subjected to a multiple sequence alignment using ClustalW [43]. The resulting matrix of alignment quality scores was plotted as a heat map of the pairwise score as percentage identity. The same analysis was performed with miRNAs from the liverwort Pellia endiviifolia [26].

Strains and culture conditions of V. carteri and C. reinhardtii

The female Volvox carteri f. nagariensis wild-type strain HK10 was originally obtained from R.C. Starr (Culture Collection of Algae, University of Texas, Austin, Texas, USA). The strain Vol6♀ was obtained from A. Hallmann (University of Bielefeld, Germany). Synchronous cultures were grown in Volvox medium at 28 °C under an 8 h dark/16 h light (10 000 lux) cycle [3]. The sex-inducing pheromone was used as described by Haas and Sumper [44].

The cell-wall deficient strain CW15 mt- was obtained from Jörg Nickelsen (University of Munich) and cultivated on agar plates from TAP medium at room temperature on a shelf exposed to natural sunlight. TAP medium and its ingredients were made as described at chlamy.org, originally described in Gorman et al. [45]. Liquid cultures were grown in TAP medium in Erlenmeyer flasks at room temperature and exposed to natural sunlight.

Immunoprecipitation and protein blots

Approximately 1 ml (myc-VcAGO3 transformed) or 400 μl (myc-CrGFP transformed) of V. carteri spheroids were lysed in 5 ml or 2 ml of lysis buffer (150 mM KCl, 25 mM Tris/HCl pH7.4, 0.5 % NP-40, 2 mM EDTA, 1 mM NaF), respectively, and sonicated twice for 30s (cycle 5, 10 % intensity, MS72 tip, Bandelin Sonoplus). After centrifugation at 17000 g, 4 °C and 30 min, the supernatant was flash frozen in liquid nitrogen. After thawing on ice the next day, the lysates were incubated with anti-c-myc-beads (Sigma) and incubated for 2.5 h at 4 °C on a rotating wheel. Beads were washed three times with wash buffer (300 mM KCl, 50 mM Tris/HCl pH7.4, 1 mM MgCl2, 0.1 % NP-40) and once with PBS.

For protein blots, 10 μl of the respective lysate as input and 20 % of the immunoprecipitation (IP) of the myc-VcAGO3 transformation and all of the myc-CrGFP transformation was used. For the control of immunoprecipitation of the cleavage assays, 10 % of each reaction was used.

Standard protein blots were performed using a 10 % separating gel. Semi-dry blotting using Towbin buffer was performed with 1.5 mA/cm2 for 2 h on Hybond ECL membrane (GE Healthcare). After blocking for 30 min with 5 % milk powder in TBS-T (TBS with 0.2 % Tween20), the membrane was incubated with the primary antibody (anti-myc, Sigma, 1:1500; anti-Flag 1:1000) over night at 4 °C. After washing with TBS-T, the membrane was incubated with the secondary antibody (anti-rabbit IRDye 800CW, Licor, 1:10000) for 1 h at room temperature. After washing, the membrane was scanned on a Licor Odyssey reader.

RNA preparations

For the extraction of RNA from somatic cells or reproductive cells, 3 ml peqGold Trifast (Peqlab) or Trizol (Life technologies) was added per 100 μl cell suspension. Cells were lysed at room temperature for 10 min and RNA preparation was then carried out according to the manufacturer’s instructions. Precipitation of the RNA was performed over night at −20 °C in the presence of 20 μg glycogen (RNA grade, Life technologies) per ml of Trifast/Trizol. The RNA was collected by centrifugation, washed once with cold 80 % ethanol and solved in pure water.

RNA from immunoprecipitation samples was prepared as described [30].

Cleavage assay

Before assessing the cleavage activity, AGO proteins and the negative control CrGFP were precipitated via their respective tags. For VcAGO3 and CrGFP, the IP was carried out with 0.5 ml pellets as described under section “Immunoprecipitation and protein blots”. For lysing Arabidopsis tissue, 250 mg of tissue powder were incubated with 1 ml of ice cold extraction buffer (50 mM Tris HCl pH 7.5, 150 mM NaCl, 10 % Glycerol, 5 mM MgCl2, 0.1 % NP-40, 5 mM DTT), mixed well and incubated on a rotating wheel at 4 °C for 1 h. After clearing the cell debris by centrifugation (17,000 g, 4 °C, 30 min), 1 ml of lysate was added to 30 μl of packed Flag-beads (anti-Flag M2, Sigma) and incubated for 2 h at 4 °C on a rotating wheel. After three washes with wash buffer (50 mM Tris HCl pH 7.5, 500 mM NaCl, 10 % Glycerol, 5 mM MgCl2, 0.1 % NP-40, 4 mM DTT), PBS was used to split the immunoprecipitated AtAGO1 into fresh tubes. For checking the success of immunoprecipitation, 10 % of each IP (Volvox and Arabidopsis) were used for Western blotting.

The preparation of 32P-cap-labeled target RNA was performed as described before [8]. For VcAGO3 cleavage assays, targets were generated carrying a perfectly complementary site to the small RNAs tasiRNA#1, MIR357b and sRNA scaff 12, while target RNAs for AtAGO1 cleavage assays carried sites for MIR159a and MIR165. The in vitro cleavage reaction was carried out with 50 % (v/v) immunoprecipitated protein (beads) in 66.7 mM KCl, 6.7 mM MgCl2, 8.3 mM DTT, 1.7 mM ATP, 0.3 mM GTP and 3.2 U RiboLock RNase inhibitor (Thermo Scientific). The addition of target RNA (1–2 Bq/cm2) initiated the reaction which was carried out for 1.5 h at 25 °C. The RNA was subsequently extracted using Proteinase K digestion and phenol-chloroform extraction as described before [46].

To visualize the cleavage products, samples were run on an 8 % urea polyacrylamide sequencing gel (National diagnostics), dried on Whatman paper and exposed to a screen.

Cloning and sequencing of small RNAs

Small RNAs from total RNA samples were converted into sequencing libraries as described before [30]. The libraries were sequenced by Fasteris SA (Geneva, Switzerland) on an Illumina HiSeq2000 in a 50 bp single-end run. The RNA that was extracted from a VcAGO3 immunoprecipitation was cloned as described before [47] and sequenced on a MiSeq (Illumina) in a 66 bp single-end run.

β-elimination treatment of small RNAs

Total RNA from vegetative somatic cells and vegetative gonidia was mixed with 20 pmol of a random oligo RNA (5′-UUAGUGAGAGUCCAAUUAAUU-3′, Biomers). Beta-elimination was performed as described previously [48].

13.5 μl of total RNA (10–20 μg, vegetative somatic cells or vegetative gonidia) were mixed with 4.5 μl of 5x borate buffer (148 mM borax, 148 mM boric acid, pH 8.6) and 2.5 μl of freshly dissolved 200 mM NaIO4. After incubation for 10 min at room temperature, 2 μl of glycerol were added to quench unreacted NaIO4. Samples were incubated for another 10 min at room temperature and then dried by vacuum centrifugation for 1 h at room temperature.

Samples were dissolved in 50 μl 1x borax buffer (30 mM borax, 30 mM boric acid, 50 mM NaOH, pH 9.5) and incubated at 45 °C for 90 min. 20 μg glycogen was added to each sample and the RNA was precipitated with 2.5 volumes of ethanol at −20 °C over night. RNA was collected by centrifugation at 17000 g, 4 °C, 30 min. Pellets were directly dissolved in RNA loading dye.

Abbreviations

A. thaliana : 

Arabidopsis thaliana

C. reinhardtii : 

Chlamydomonas reinhardtii

CrGFP: 

GFP codon-optimized for C. reinhardtii

miRNA: 

microRNA

nt: 

Nucleotide(s)

tasiRNA: 

Trans-acting short interfering RNA

V. carteri : 

Volvox carteri

VcAGO3: 

Volvox carteri ARGONAUTE 3

Declarations

Acknowledgements

We thank Gerhard Lehmann for help with data analysis, Corinna Friederich and Sigrun Ammon for excellent technical help, Dr. T. Demircan for help in preparing strand-specific RNAseq library, Rüdiger Schmitt for discussion and Jörg Nickelsen for providing the C. reinhardtii strain cw15 mt-. The Arabidopsis tissue powder was a kind gift from the Brodersen lab.

Funding

Our research is supported by grants from the Deutsche Forschungsgemeinschaft (SFB960 and FOR2127 to G.M.; SFB1101 to D.W.), the European Research Council (ERC grant 242792 ‘sRNAs’, ITN RNATrain), the Bavarian Genome Research Network (BayGene), the Bavarian Systems-Biology Network (BioSysNet) and the Max-Planck-Society (D.W.).

Availability of data and materials

Small RNA sequencing data is available at GEO under accessions GSE58703, GSE58704 and GSE59469. RNA Seq data is available at the SRA under BioProject PRJNA266874.

Authors’ contributions

AD and GM conceived the study and designed experiments. AD, KU, NE and SW performed experiments. ME, SRH, RM and EB performed computational analyses. AD, DW, SW and GM analyzed and discussed data. AD, ME, JCE, DW, SW and GM wrote the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Biochemistry Center Regensburg (BZR), Laboratory for RNA Biology, University of Regensburg, Universitätsstrasse 31, 93053 Regensburg, Germany
(2)
Department of Statistical Bioinformatics, University of Regensburg, Universitätsstrasse 31, 93053 Regensburg, Germany
(3)
Present address: The John Curtin School of Medical Research, The Australian National University, Canberra, Australia
(4)
Department of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany
(5)
Present address: Intomics A/S, Diplomvej 377, 2800 Lyngby, Denmark
(6)
Biochemistry Center Regensburg (BZR), Biochemistry II, University of Regensburg, Universitätsstrasse 31, 93053 Regensburg, Germany
(7)
European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 1, 9713AV Groningen, The Netherlands

References

  1. Hallmann A. Evolution of reproductive development in the volvocine algae. Sex Plant Reprod. 2011;24(2):97–112.View ArticlePubMedGoogle Scholar
  2. Kirk DL. A twelve-step program for evolving multicellularity and a division of labor. Bioessays. 2005;27(3):299–310.View ArticlePubMedGoogle Scholar
  3. Starr RC, Jaenicke L. Purification and characterization of the hormone initiating sexual morphogenesis in Volvox carteri f. nagariensis Iyengar. Proc Natl Acad Sci U S A. 1974;71(4):1050–4.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Ferris P, Olson BJ, De Hoff PL, Douglass S, Casero D, Prochnik S, Geng S, Rai R, Grimwood J, Schmutz J, et al. Evolution of an expanded sex-determining locus in Volvox. Science. 2010;328(5976):351–4.View ArticlePubMedPubMed CentralGoogle Scholar
  5. Herron MD, Hackett JD, Aylward FO, Michod RE. Triassic origin and early radiation of multicellular volvocine algae. Proc Natl Acad Sci U S A. 2009;106(9):3254–8.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Meister G. Argonaute proteins: functional insights and emerging roles. Nat Rev Genet. 2013;14(7):447–59.View ArticlePubMedGoogle Scholar
  7. Kuhn CD, Joshua-Tor L. Eukaryotic Argonautes come into focus. Trends Biochem Sci. 2013;38(5):263–71.View ArticlePubMedGoogle Scholar
  8. Meister G, Landthaler M, Patkaniowska A, Dorsett Y, Teng G, Tuschl T. Human Argonaute2 Mediates RNA Cleavage Targeted by miRNAs and siRNAs. Mol Cell. 2004;15(2):185–97.View ArticlePubMedGoogle Scholar
  9. Liu J, Carmell MA, Rivas FV, Marsden CG, Thomson JM, Song JJ, Hammond SM, Joshua-Tor L, Hannon GJ. Argonaute2 is the catalytic engine of mammalian RNAi. Science. 2004;305(5689):1437–41.View ArticlePubMedGoogle Scholar
  10. Dueck A, Meister G. Assembly and function of small RNA - Argonaute protein complexes. Biol Chem. 2014;395(6):611–29.View ArticlePubMedGoogle Scholar
  11. Axtell MJ. Classification and comparison of small RNAs from plants. Annu Rev Plant Biol. 2013;64:137–59.View ArticlePubMedGoogle Scholar
  12. Fei Q, Xia R, Meyers BC. Phased, secondary, small interfering RNAs in posttranscriptional regulatory networks. Plant Cell. 2013;25(7):2400–15.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Creasey KM, Zhai J, Borges F, Van Ex F, Regulski M, Meyers BC, Martienssen RA. miRNAs trigger widespread epigenetically activated siRNAs from transposons in Arabidopsis. Nature. 2014;508(7496):411–5.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Molnar A, Schwach F, Studholme DJ, Thuenemann EC, Baulcombe DC. miRNAs control gene expression in the single-cell alga Chlamydomonas reinhardtii. Nature. 2007;447(7148):1126–9.View ArticlePubMedGoogle Scholar
  15. Zhao T, Li G, Mi S, Li S, Hannon GJ, Wang XJ, Qi Y. A complex system of small RNAs in the unicellular green alga Chlamydomonas reinhardtii. Genes Dev. 2007;21(10):1190–203.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Li J, Wu Y, Qi Y. MicroRNAs in a multicellular green alga Volvox carteri. Sci China Life Sci. 2014;57(1):36–45.View ArticlePubMedGoogle Scholar
  17. Frank F, Hauver J, Sonenberg N, Nagar B. Arabidopsis Argonaute MID domains use their nucleotide specificity loop to sort small RNAs. Embo J. 2012;31(17):3588–95.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Frank F, Sonenberg N, Nagar B. Structural basis for 5′-nucleotide base-specific recognition of guide RNA by human AGO2. Nature. 2010;465(7299):818–22.View ArticlePubMedGoogle Scholar
  19. Evers M, Huttner M, Dueck A, Meister G, Engelmann JC. miRA: adaptable novel miRNA identification in plants using small RNA sequencing data. BMC Bioinformatics. 2015;16:370.View ArticlePubMedPubMed CentralGoogle Scholar
  20. Bologna NG, Voinnet O. The diversity, biogenesis, and activities of endogenous silencing small RNAs in Arabidopsis. Annu Rev Plant Biol. 2014;65:473–503.View ArticlePubMedGoogle Scholar
  21. Carbonell A, Fahlgren N, Garcia-Ruiz H, Gilbert KB, Montgomery TA, Nguyen T, Cuperus JT, Carrington JC. Functional analysis of three Arabidopsis ARGONAUTES using slicer-defective mutants. Plant Cell. 2012;24(9):3613–29.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Brodersen P, Sakvarelidze-Achard L, Bruun-Rasmussen M, Dunoyer P, Yamamoto YY, Sieburth L, Voinnet O. Widespread translational inhibition by plant miRNAs and siRNAs. Science. 2008;320(5880):1185–90.View ArticlePubMedGoogle Scholar
  23. Miller SM, Schmitt R, Kirk DL. Jordan, an active Volvox transposable element similar to higher plant transposons. Plant Cell. 1993;5(9):1125–38.View ArticlePubMedPubMed CentralGoogle Scholar
  24. Borges F, Martienssen RA. The expanding world of small RNAs in plants. Nat Rev Mol Cell Biol. 2015;16(12):727–41.Google Scholar
  25. Voshall A, Kim EJ, Ma X, Moriyama EN, Cerutti H. Identification of AGO3-associated miRNAs and computational prediction of their targets in the green alga Chlamydomonas reinhardtii. Genetics. 2015;200(1):105–21.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Alaba S, Piszczalka P, Pietrykowska H, Pacak AM, Sierocka I, Nuc PW, Singh K, Plewka P, Sulkowska A, Jarmolowski A, et al. The liverwort Pellia endiviifolia shares microtranscriptomic traits that are common to green algae and land plants. New Phytol. 2015;206(1):352–67.View ArticlePubMedGoogle Scholar
  27. Siomi MC, Sato K, Pezic D, Aravin AA. PIWI-interacting small RNAs: the vanguard of genome defence. Nat Rev Mol Cell Biol. 2011;12(4):246–58.View ArticlePubMedGoogle Scholar
  28. Piriyapongsa J, Jordan IK. Dual coding of siRNAs and miRNAs by plant transposable elements. RNA. 2008;14(5):814–21.View ArticlePubMedPubMed CentralGoogle Scholar
  29. Jakobiak T, Mages W, Scharf B, Babinger P, Stark K, Schmitt R. The bacterial paromomycin resistance gene, aphH, as a dominant selectable marker in Volvox carteri. Protist. 2004;155(4):381–93.View ArticlePubMedGoogle Scholar
  30. Dueck A, Ziegler C, Eichner A, Berezikov E, Meister G. microRNAs associated with the different human Argonaute proteins. Nucleic Acids Res. 2012;40(19):9850–62.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Prochnik SE, Umen J, Nedelcu AM, Hallmann A, Miller SM, Nishii I, Ferris P, Kuo A, Mitros T, Fritz-Laylin LK, et al. Genomic analysis of organismal complexity in the multicellular green alga Volvox carteri. Science. 2010;329(5988):223–6.View ArticlePubMedPubMed CentralGoogle Scholar
  32. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9(4):357–9.View ArticlePubMedPubMed CentralGoogle Scholar
  33. Trapnell C, Roberts A, Goff L, Pertea G, Kim D, Kelley DR, Pimentel H, Salzberg SL, Rinn JL, Pachter L. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protoc. 2012;7(3):562–78.View ArticlePubMedPubMed CentralGoogle Scholar
  34. Remmert M, Biegert A, Hauser A, Soding J. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment. Nat Methods. 2012;9(2):173–5.View ArticleGoogle Scholar
  35. McGuffin LJ, Bryson K, Jones DT. The PSIPRED protein structure prediction server. Bioinformatics. 2000;16(4):404–5.View ArticlePubMedGoogle Scholar
  36. Finn RD, Bateman A, Clements J, Coggill P, Eberhardt RY, Eddy SR, Heger A, Hetherington K, Holm L, Mistry J, et al. Pfam: the protein families database. Nucleic Acids Res. 2014;42(Database issue):D222–230.View ArticlePubMedGoogle Scholar
  37. Mi H, Muruganujan A, Casagrande JT, Thomas PD. Large-scale gene function analysis with the PANTHER classification system. Nat Protoc. 2013;8(8):1551–66.View ArticlePubMedGoogle Scholar
  38. Cognat V, Pawlak G, Duchene AM, Daujat M, Gigant A, Salinas T, Michaud M, Gutmann B, Giege P, Gobert A, et al. PlantRNA, a database for tRNAs of photosynthetic eukaryotes. Nucleic Acids Res. 2013;41(Database issue):D273–279.View ArticlePubMedGoogle Scholar
  39. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glockner FO. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013;41(Database issue):D590–596.View ArticlePubMedGoogle Scholar
  40. Jurka J, Kapitonov VV, Pavlicek A, Klonowski P, Kohany O, Walichiewicz J. Repbase Update, a database of eukaryotic repetitive elements. Cytogenet Genome Res. 2005;110(1-4):462–7.View ArticlePubMedGoogle Scholar
  41. Stocks MB, Moxon S, Mapleson D, Woolfenden HC, Mohorianu I, Folkes L, Schwach F, Dalmay T, Moulton V. The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets. Bioinformatics. 2012;28(15):2059–61.View ArticlePubMedPubMed CentralGoogle Scholar
  42. Chen HM, Li YH, Wu SH. Bioinformatic prediction and experimental validation of a microRNA-directed tandem trans-acting siRNA cascade in Arabidopsis. Proc Natl Acad Sci U S A. 2007;104(9):3318–23.View ArticlePubMedPubMed CentralGoogle Scholar
  43. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, Valentin F, Wallace IM, Wilm A, Lopez R, et al. Clustal W and Clustal X version 2.0. Bioinformatics. 2007;23(21):2947–8.View ArticlePubMedGoogle Scholar
  44. Haas E, Sumper M. The sexual inducer of Volvox carteri. Its large-scale production and secretion by Saccharomyces cerevisiae. FEBS Lett. 1991;294(3):282–4.View ArticlePubMedGoogle Scholar
  45. Gorman DS, Levine RP. Cytochrome f and plastocyanin: their sequence in the photosynthetic electron transport chain of Chlamydomonas reinhardi. Proc Natl Acad Sci U S A. 1965;54(6):1665–9.View ArticlePubMedPubMed CentralGoogle Scholar
  46. Hauptmann J, Dueck A, Harlander S, Pfaff J, Merkl R, Meister G. Turning catalytically inactive human Argonaute proteins into active slicer enzymes. Nat Struct Mol Biol. 2013;20(7):814–7.View ArticlePubMedGoogle Scholar
  47. Dueck A, Eichner A, Sixt M, Meister G. A miR-155-dependent microRNA hierarchy in dendritic cell maturation and macrophage activation. FEBS Lett. 2014;588(4):632–40.View ArticlePubMedGoogle Scholar
  48. Vagin VV, Sigova A, Li C, Seitz H, Gvozdev V, Zamore PD. A distinct small RNA pathway silences selfish genetic elements in the germline. Science. 2006;313(5785):320–4.View ArticlePubMedGoogle Scholar
  49. Fuhrmann M, Oertel W, Hegemann P. A synthetic gene coding for the green fluorescent protein (GFP) is a versatile reporter in Chlamydomonas reinhardtii. Plant J. 1999;19(3):353–61.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2016

Advertisement

BMC Genomics

ISSN: 1471-2164

Contact us