Abstract
MicroRNAs (miRNAs) play crucial roles in gene expression regulation through RNA cleavage or translation repression. Here, we report the identification of an evolutionarily conserved WD40 domain protein as a player in miRNA biogenesis in Arabidopsis thaliana. A mutation in the REDUCTION IN BLEACHED VEIN AREA (RBV) gene encoding a WD40 domain protein led to the suppression of leaf bleaching caused by an artificial miRNA; the mutation also led to a global reduction in the accumulation of endogenous miRNAs. The nuclear protein RBV promotes the transcription of MIR genes into pri-miRNAs by enhancing the occupancy of RNA polymerase II (Pol II) at MIR gene promoters. RBV also promotes the loading of miRNAs into AGO1. In addition, RNA-seq revealed a global splicing defect in the mutant. Thus, this evolutionarily conserved, nuclear WD40 domain protein acts in miRNA biogenesis and RNA splicing.
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Introduction
MicroRNAs (miRNAs), 20–24 nucleotides (nt) in length, are one class of endogenous noncoding small RNAs in eukaryotes. miRNAs are players in gene regulatory networks involved in many biological processes such as development, metabolism, and immunity in plants1. Target gene expression is regulated by miRNAs post-transcriptionally through RNA cleavage or translation repression2.
The biogenesis of plant miRNAs entails a series of steps. Genes encoding miRNAs (MIR) are transcribed into pri-miRNAs that form imperfect stem–loop structures by DNA-dependent RNA polymerase II (Pol II)3,4. MIR transcription is facilitated by Mediator5, (NOT2)6, CELL DIVISION CYCLE5 (CDC5)7, Elongator8, the TREX-2 component THP19, and the chromatin remodeling factor CHR210. Pri-miRNAs are processed into pre-miRNAs by DICER-LIKE1 (DCL1)1,11,12,13. In humans, pri-miRNAs are thought to be co-transcriptionally processed, as they are associated with chromatin during transcription and processed at sites of transcription before splicing14,15. It is proposed that the retention of pri-miRNAs at transcription sites may enhance processing15. In Arabidopsis, NOT2, CDC5, and Elongator interact with both Pol II and DCL16,7,8, suggesting that pri-miRNA transcription and processing may be also coordinated in plants. CHR2 probably also acts co-transcriptionally to repress the processing of pri-miRNAs10.
The efficient processing of pri-miRNAs requires the double-stranded RNA-binding protein HYPONASTIC LEAVES1 (HYL1)16,17 and the zinc finger protein SERRATE (SE)18,19, which form the microprocessor complex with DCL120,21. The three proteins as well as pri-miRNAs are also found in nuclear foci called dicing-bodies (D-bodies)22. Pre-miRNAs are processed to miRNA/miRNA* duplexes, which undergo 3′ methylation by the methyltransferase HEN1 to maintain miRNA stability23. Finally, the mature miRNA strands associate with ARGONAUTE1 (AGO1) to form RNA-induced silencing complexes (RISCs), which are active forms of miRNAs24,25,26. In Arabidopsis, size exclusion chromatography showed that the molecular weight of miRISCs is similar to that of AGO1, suggesting that miRISCs are bi-molecular AGO1-miRNA complexes, although larger complexes containing AGO1 can also be detected24,27,28.
Here, we isolated a mutant with global defects in miRNA biogenesis in Arabidopsis. The mutation is in a previously uncharacterized gene encoding a protein containing seven WD40 repeats, which we designate as RBV. RBV promotes the transcription of MIR genes, as loss of function of RBV reduces MIR promoter activity and the occupancy of Pol II at MIR promoters. In addition, RBV promotes the localization of HYL1 in D-bodies. On the basis of these results, we propose that RBV may act to coordinate MIR transcription and pri-miRNA processing in plant miRNA biogenesis. Moreover, the association of miRNAs with AGO1 was drastically decreased and AGO1 resided in complexes larger than miRISCs in the rbv-1 mutant, suggesting that RBV promotes the loading of miRNAs into AGO1. RBV also has a global role in pre-mRNA splicing, affecting a set of short introns.
Results
Isolation of a mutant with defects in miRNA biogenesis
We performed an ethylmethane sulfonate mutagenesis screen for Arabidopsis mutants in miRNA biogenesis, utilizing the vein-centered leaf beaching phenotype caused by the phloem-specific expression of an artificial miRNA (amiR-SUL) targeting the SULFUR (SUL) gene as a visible marker for miRNA activity29. Several mutants with reduced leaf bleaching were isolated and found to be in genes with known roles in miRNA biogenesis/activity, such as hyl1–11, dcl1–30, hen1–11, and ago1–25, suggesting that the genetic screen was effective (Supplementary Fig. 1a, b). The ago1–25 allele isolated in our study was thus named because it harbored the same mutation as the one previously reported30. In addition, we isolated a new suppressor mutant with reduced leaf bleaching (Fig. 1a, b); the mutation was designated rbv-1 as it was later shown to be in a previously uncharacterized gene that we named REDUCTION IN BLEACHED VEIN AREA (RBV). This mutant exhibited pleiotropic developmental phenotypes, such as reduced root length, smaller plant size, narrow leaves, short stature, increased branching, and reduced fertility (Fig. 1c and Supplementary Fig. 2). Northern blot analyses showed that both amiR-SUL and endogenous miRNAs (miR156, miR159, miR164, miR165, miR167, miR319, and miR390) were moderately reduced in abundance in 14-day-old amiR-SUL rbv-1 seedlings as compared to amiR-SUL seedings (Fig. 1d). We also performed small RNA sequencing with 14-day-old amiR-SUL and amiR-SUL rbv-1 seedlings. Clustering analysis showed that the three biological replicates for each genotype were highly reproducible (Supplementary Fig. 3a). Reads corresponding to miRNAs were normalized against total mapped reads and miRNAs with RPM (reads per million mapped reads) > 10 in either genotype (average of three replicates) were included in our analyses (Supplementary Data 1). An overall reduction in miRNA abundance in the mutant relative to the amiR-SUL line was observed (Fig. 1e and Supplementary Fig. 3b), while there were some miRNAs such as miR845a and miR845b showing increased accumulation in the amiRSUL rbv-1 mutant. We also performed RT-qPCR to examine the expression of some miRNAs’ target genes. The transcript levels of SPL3 and SPL10 (targets of miR156), PHB, REV, and PHV (targets of miR165/6), MYB33 and MYB65 (targets of miR159), ARF8 (a target of miR167), and CUC2 (a target of miR164) were de-repressed in the amiR-SUL rbv-1 mutant (Fig. 1f).
RBV encodes an evolutionarily conserved WD40 domain protein
The amiR-SUL rbv-1 mutant was backcrossed with the parental amiR-SUL line. In a total of 614 F2 plants, 141 (23%) exhibited the mutant phenotypes, which is consistent with the phenotype being caused by a single, nuclear, and recessive mutation (χ2 = 1.357; P = 0.244; (Supplementary Table 1)). In order to identify the causal mutation in amiR-SUL rbv-1, pooled DNA from mutant plants in the F2 of the amiR-SUL rbv-1 x amiR-SUL cross was used for whole-genome re-sequencing. The results revealed that the amiR-SUL rbv-1 phenotype was linked to a single nucleotide change (G-to-A) in the first exon of AT5G64730, causing the change of the encoded amino acid from glycine to glutamic acid (see Methods; Fig. 2a).
In order to confirm that RBV is indeed AT5G64730, a construct of RBV (AT5G64730)-eYFP driven by its native promoter was generated and introduced into amiR-SUL rbv-1. Phenotypes of the transgenic plants showed that pRBV:RBV-eYFP fully rescued the morphological defects of amiR-SUL rbv-1 (Fig. 2c). Furthermore, the transgene restored amiR-SUL accumulation as well as leaf bleaching in amiR-SUL rbv-1 (Fig. 2d). While the expression of the amiR-SUL target gene, SUL, was increased in the mutant at the RNA and protein levels, the transgene also restored SUL RNA (Fig. 2e) and SUL protein (Fig. 2f) in amiR-SUL rbv-1 to wild-type levels. Moreover, the transgene rescued the defects in miR159 and miR319 accumulation in the amiR-SUL rbv-1 mutant (Fig. 2d). Therefore, the miRNA biogenesis and morphological defects of amiR-SUL rbv-1 were attributable to the mutation in RBV (AT5G64730).
RBV encodes a previously uncharacterized protein with seven WD40 repeats (Fig. 2a). In plants, WD40 repeat proteins are numerous, interact with diverse proteins, and act in a variety of biological processes, such as plant development and immunity31,32. To investigate whether RBV is an evolutionarily conserved protein, a phylogenetic tree in different plants was generated including Angiosperms, Gymnosperms, Bryophytes, Lycophytes, Chlorophyte, and Charophyte algae. In general, Arabidopsis RBV and its nearest paralog (AT5G50230) were separated in the latest common ancestor of multicellular algae (Fig. 2b). A detailed phylogenetic tree and the accession numbers of the proteins used can be found in Supplementary Data 2 and Supplementary Fig. 4a. According to the phylogenetic analysis, RBV orthologs can be found in plants ranging from single-cell green algae to core eudicots and grasses, and there is no close paralog of RBV in the latest common ancestor of land plants. In most eudicots that have undergone gamma whole-genome duplication (WGD) and Brassicaceae that have also undergone beta and alpha WGDs, RBV remained as a single copy. Only in species that have undergone recent, specific WGDs, such as apple, soybean, and maize, there are multiple copies of RBV (Supplementary Fig. 4a). This result indicated that RBV maybe functionally conserved and extra copies might be deleterious.
We also obtained two lines with T-DNA insertions in or near RBV (Salk_126634 and Salk_075672) (Supplementary Fig. 5a, c). Interestingly, the phenotypes of the T-DNA mutants were the same as wild type (Supplementary Fig. 5b). Next, we examined RBV transcripts in the two T-DNA insertion lines. RT-PCR showed that transcripts corresponding to the full-length coding region of RBV were present in the two mutants (Supplementary Fig. 5d). In addition, real-time RT-PCR showed that the levels of RBV transcripts were only mildly reduced in the two mutants (Supplementary Fig. 5e), consistent with the lack of morphological phenotypes.
In order to remove the amiR-SUL transgene background, we crossed the amiR-SUL rbv-1 mutant with wild-type (Col) plants. In the F2 population, we identified homozygous rbv-1 plants without the amiR-SUL transgene through genotyping; these plants showed the same pleiotropic phenotypes as amiR-SUL rbv-1 (Fig. 3a). The morphological phenotypes of rbv-1 were completely rescued by the pRBV:RBV-eYFP transgene (Fig. 3a). We further confirmed that the rbv-1 mutant without the amiR-SUL transgene had defects in miRNA accumulation. RNA gel blots showed that the levels of several endogenous miRNAs, such as miR156, miR159, miR164 and miR167, were reduced in abundance in rbv-1 as compared to wild-type plants. Other miRNAs, such as miR319 and miR398, were unaffected (Supplementary Fig. 6a). To rule out the possibility that RBV indirectly regulated miRNA accumulation by affecting the expression of the miRNA biogenesis machinery, we examined the expression of the known genes involved in miRNA biogenesis, and no significant changes were observed in rbv-1 (Supplementary Fig. 6b, c).
RBV promotes the transcription of MIR genes
We next investigated how RBV promotes miRNA biogenesis. MIR gene transcription to produce pri-miRNAs is the first step in miRNA biogenesis. We first sought to determine pri-miRNA levels by RNA-seq in Col and rbv-1, each with three replicates. Of the 298 pri-miRNAs annotated in Araport11, only 41 gave reads in any sample. Pri-miRNAs with RPKM > 10 in either rbv-1 or Col was used for differential expression analysis. Six pri-miRNAs were significantly altered in rbv-1 relative to Col with four being decreased and two increased in abundance with P < 0.05 and fold-change > 1.5 as the cutoff (Supplementary Fig. 7). As many pri-miRNAs appeared to be at lower levels in the rbv-1 mutant although they did not pass the cutoff (Supplementary Fig. 7), we performed RT-qPCR to determine the levels of seven pri-miRNAs in Col, rbv-1 and pRBV:RBV-eYFP rbv-1. The levels of these pri-miRNAs were reduced to ~30-50% of wild-type levels in the rbv-1 mutant and the reduction was rescued by pRBV:RBV-eYFP (Fig. 3b). The reduction in pri-miRNA abundance could be attributed to impaired MIR genes transcription, reduced stability of pri-miRNAs or enhanced pri-miRNA processing. To determine whether transcription was affected in the rbv-1 mutant, we crossed rbv-1 with a GUS reporter line (pMIR167a:GUS) under the control of the MIR167a promoter and obtained pMIR167a:GUS rbv-1 (with both the transgene and the mutation being homozygous). GUS activity was visibly lower in pMIR167a:GUS rbv-1 than in pMIR167a:GUS as revealed by GUS staining (Fig. 3c). RT-qPCR analysis confirmed that the rbv-1 mutant had lower GUS transcript levels (Fig. 3d). Thus, reduced transcription of MIR genes could be one of the problems in miRNA biogenesis in rbv-1.
To further confirm a positive role of RBV in MIR gene transcription, the occupancy of Pol II at MIR loci was determined by chromatin immunoprecipitation (ChIP) with an antibody against the Pol II C-terminal repeats. ChIP without an antibody served as the negative control. MIR166a, MIR167a, and MIR171a promoter regions, as well as C1 (a region between the genes AT2G17460 and AT2G17470 known to not engage Pol II7), were examined by RT-qPCR after ChIP. The MIR166a and MIR167a promoter regions were enriched in the immunoprecipitates in both rbv-1 and Col relative to C1 (Fig. 3e). Pol II occupancy at MIR166a and MIR167a promoter regions was reduced in the rbv-1 mutant relative to Col, while the signal on MIR171a was too low to be calculated (Fig. 3e). Thus, RBV facilitates the recruitment of Pol II to MIR loci.
RBV is localized in the nucleoplasm and required for the proper localization of HYL1 in D-bodies
We studied the expression of RBV in various tissues and the subcellular localization of the protein. RT-PCR analyses of RNAs from seedlings, roots, cauline leaves, rosette leaves, stems, and inflorescences showed ubiquitous RBV expression (Supplementary Fig. 8a). RBV:RBV-eYFP transgenic plants exhibited YFP fluorescence in the nucleoplasm but not the nucleolus (Fig. 4a). SE is a component of the microprocessor in pri-miRNA processing and a mRuby3-tagged SE protein driven by the SE promoter was also localized in the nucleoplasm, as previously reported9 (Fig. 4a). The nucleoplasmic localization of the two proteins prompted us to ask whether RBV interacts with SE. However, results of yeast two-hybrid, BiFC, and co-IP experiments did not show interactions between the two proteins (Supplementary Fig. 8c–e).
HYL1 and DCL1 form nuclear foci known as D-bodies, which are sites of pri-miRNA processing22,33. To determine the status of D-bodies in the rbv-1 mutant, we crossed a pHYL1:HYL1-YFP transgene22 into the mutant and obtained plants homozygous for both the transgene and the rbv-1 mutation. D-body numbers were determined in 420 and 537 root nuclei of wild-type and rbv-1 plants, respectively. The number of HYL1-YFP D-bodies was significantly decreased in rbv-1 (Fig. 4c, d), suggesting that mutation of RBV leads to a defect in D-body formation or the localization of HYL1 to D-bodies. Although SE was reported to form D-bodies in N. benthamiana22 and Arabidopsis33, we have never observed SE D-bodies or nuclear speckles in Arabidopsis roots, no matter when SE was fused to mRuby or eCFP (Fig. 4a and Supplementary Fig. 8b). Even upon co-expression of pSE:SE-mRuby3 and pHYL1:HYL1-YFP, SE D-bodies cannot be observed despite obvious HYL1 D-bodies (Fig. 4b).
Mutation of RBV leads to a defect of miRNA loading into AGO1
miRNAs are loaded into AGO1 to form miRISCs that execute the silencing of target RNAs24,26,34. To determine whether RBV affects the formation of miRISCs, we performed AGO1 IP followed by sRNA-seq with both input and IP samples from wild-type and rbv-1 seedlings. Three replicates were performed and showed high reproducibility (Supplementary Fig. 9). From input samples, many miRNAs showed a small but statistically significant reduction in abundance in the rbv-1 mutant (Supplementary Data 3). A few miRNAs, such as miR163, miR845a, miR845b and miR843, were elevated in abundance in the mutant (Fig. 5a; Supplementary Data 3). The loading status of each miRNA was expressed as the ratio of miRNA abundance between AGO1 IP and input and differences between wild type and rbv-1 were evaluated by student’s t-test. A global reduction in the AGO1 loading of miRNAs was observed in the rbv-1 mutant (Fig. 5b; Supplementary Data 4). Notably, miR845a and miR845b, which exhibited elevated levels, were less associated with AGO1 in the mutant, indicating that RBV is crucial for miRISC formation. RNA gel blots were also performed to validate the sRNA-seq results. miR159 and miR166 levels were lower in input and further reduced in AGO1 IP in the mutant (Fig. 5c). miR845a levels were strongly increased in the rbv-1 input sample as compared with Col input but greatly reduced in the rbv-1 AGO1 IP sample as compared with Col AGO1 IP (Fig. 5c; Supplementary Data 4). Thus, the rbv-1 mutant exhibits a global miRNA loading defect.
AGO1 is a nuclear-cytoplasmic shuttling protein and is thought to load miRNAs in the nucleus25. We performed nuclear-cytoplasmic fractionation to determine whether RBV affects the nuclear–cytoplasmic partitioning of AGO1. The results showed that the cytoplasmic/nuclear (C/N) ratios of AGO1 were similar between Col and the rbv-1 mutant (Fig. 5d). We also detected miRNAs by gel blots in cytoplasmic and nuclear fractions. The results showed that miR159, miR166, miR156, and miR319 were similarly decreased in the nuclear and cytoplasmic fractions in rbv-1 (Fig. 5e). Thus, RBV did not affect the nuclear–cytoplasmic partitioning of AGO1 or miRNAs. Next, we performed AGO1 IP followed by northern blotting to determine the miRNA loading efficiency. Using the ratio of miRNA abundance in AGO1 IP vs. input to represent miRNA loading efficiency, the calculated loading efficiencies for miR159, miR166, miR156, and miR319 were similarly reduced in the nuclear and cytoplasmic fractions in the rbv-1 mutant, suggesting that this experiment at the steady-state level could not pinpoint the subcellular location of the AGO1 loading defect of the mutant. Intriguingly, for miR163 that showed increased abundance in both the nuclear and the cytoplasmic fractions in the mutant (Fig. 5e), the loading efficiencies were reduced in the nuclear but not the cytoplasmic fraction in rbv-1 (Fig. 5f), which is indicative of a nuclear loading defect.
To determine how RBV might promote the loading of miRNAs into AGO1, we first examined whether RBV interacts with AGO1. Co-IP was performed with pRBV:RBV-eYFP plants using anti-GFP and anti-AGO1 antibodies, but no interaction between RBV and AGO1 was detected. We next sought to determine whether the bi-molecular feature of miRISCs is affected in the mutant. Protein extracts from pRBV:RBV-eYFP rbv-1 and rbv-1 plants were subjected to gel filtration followed by western blotting to detect AGO1 and northern blotting to detect miR159. Among the 44 fractions, AGO1 was distributed in both high molecular weight (HMW) (fractions 9–11) and low molecular weight (LMW) (fractions 16–17) complexes in pRBV:RBV-eYFP rbv-1, consistent with previous findings28. Notably, the LMW complexes, which corresponded to monomeric AGO1 in size, also showed peak levels of miR159, suggesting that they represent miRISCs with one AGO1 protein and one miRNA. However, such miRISCs were greatly reduced in rbv-1, with AGO1 being only in HMW complexes instead (Fig. 5g). The distribution of miR159 also shifted towards HMW complexes in rbv-1 (Fig. 5g). Western blot analyses with anti-GFP antibody showed that RBV-eYFP was present in fractions 8–16 with estimated molecular weights much higher than that of an RBV-eYFP monomer, suggesting that RBV itself also resides in protein complexes (Supplementary Fig. 10). Therefore, RBV promotes the formation of miRISCs that contain only AGO1 and miRNAs. The HMW AGO1 complexes may represent intermediates in RISC formation.
AGO1 is known to associate with trans-acting small interfering RNAs (ta-siRNAs) in addition to miRNAs24,26. Contrary to miRNAs, which are loaded into AGO1 in the nucleus, ta-siRNAs are loaded into AGO1 in the cytoplasm25. We investigated whether RBV affects the ta-siRNA-AGO1 association. We quantified 21-nt siRNAs that mapped to 100-bp windows that overlapped with TAS1A, TAS1B, TAS1C, and TAS2 loci. The ta-siRNAs were not significantly altered in rbv-1 input as compared to Col input in each 100-bp window (Supplementary Fig. 11a, c, e, g). We then analyzed their levels in AGO-IP vs. input and found that the loading of ta-siRNAs into AGO1 was largely unaffected. Only ta-siRNAs in window 3 of TAS2B and window 3 of TAS1C were affected (Supplementary Fig. 11b, d, f, h). The levels of miR173, the trigger of ta-siRNA biogenesis from TAS1 and TAS2 loci, were not significantly different between Col and the rbv-1 mutant (Supplementary Fig. 11i). The fact that ta-siRNA loading was largely unaffected in the mutant is consistent with RBV being a nuclear protein.
RBV is required for the splicing of short introns in certain pre-mRNAs
In order to determine whether RBV affects the expression of protein-coding genes, we performed RNA-seq with 14-day-old seedlings of Col and rbv-1 in triplicates. The three biological replicates for each genotype were highly reproducible (Supplementary Fig. 12).
Differentially expressed genes (DEGs) were identified between Col and mutant samples with FPKM > 1, fold-change > 2, and FDR < 0.05 as the cutoff. In total, we identified 632 upregulated (hyper-DEGs) and 363 downregulated (hypo-DEGs) genes, respectively (Supplementary Data 5 and 6, Supplementary Fig. 13a). Gene Ontology (GO) analyses showed that both the hyper-DEGs and hypo-DEGs were enriched in genes with roles in responses to stimuli (Supplementary Fig. 13b, c). We also examined the global transcript levels of miRNA targets from the RNA-seq data. Although several examined miRNA targets were found to be derepressed in the mutant by RT-qPCR, a global trend of increased levels of miRNA target transcripts was not observed (Supplementary Fig. 13d, Supplementary Data 7). It is possible that the rbv-1 mutation leads to a defect in the transcriptional regulation of these genes as well.
It has been reported that MOS4-associated complex (MAC) components MAC3A, MAC3B, MAC7, and two WD40 repeat proteins (PRL1 and PRL2) affect both miRNA biogenesis and the splicing of protein-coding transcripts35,36,37. This prompted us to examine whether the rbv-1 mutant had splicing defects using the RNA-seq data (see Methods). In total, 474 Genes were found to have intron retention defects in the rbv-1 mutant compared to Col, with a total of 511 intron retention events (Supplementary Data 8). Two examples (At4g15790 and At1g03280) are presented in Fig. 6a. PI (percent of intron reads) was increased in the rbv-1 mutant (Fig. 6b). No differential expression of the genes with intron retention was observed between the rbv-1 mutant and wild type (Supplementary Fig. 14a). Next, we examined whether the genes with intron retention or the retained introns in the rbv-1 mutant had any common features. Intriguingly, the retained introns in the rbv-1 mutant seemed to be shorter as compared to the overall length distribution of introns (P = 1.984083e−22) (Fig. 6c). Besides, genes affected in rbv-1 tended to have more introns than all genes (P = 2.823e−05) (Fig. 6d). Intron retention defects are also found in prl1 prl2 and mac3a mac3b mutants35. We compared the retained introns in rbv-1, prl1 prl2 and mac3a mac3b and found little overlap between the introns affected in rbv-1 with those affected in either prl1 prl2 or mac3a mac3b (Fig. 6e), suggesting that RBV affects different introns from the MAC components.
Many MIR genes have introns38,39,40. The RNA-seq did not detect intron retention events in pri-miRNAs, but the low abundance of pri-miRNAs could have precluded the detection of intron retention events. We performed RT-PCR to test the splicing of introns from three miRNA precursors (pri-miR163, pri-miR156, and pri-miR168) with intron-flanking primers. Genomic DNA was amplified with the same primers to indicate the size of the intron-containing fragments. No defects in pri-miRNA splicing were observed in the rbv-1 mutant (Supplementary Fig. 14b).
Discussion
RBV, a WD40 protein, is an evolutionarily conserved protein in plants. However, it has not been studied from any species. In this study, we show that a recessive mutation in RBV reduces the levels of many endogenous miRNAs, indicating that mutation of RBV leads to a defect in miRNA biogenesis. Consistent with the known roles of plant miRNAs in various developmental processes, the rbv-1 mutant exhibits strong developmental defects. How does RBV promote miRNA biogenesis? Our findings suggest a role of RBV in promoting Pol II transcription of MIR genes, which is supported by the reduced levels of pri-miRNAs, compromised MIR167a promoter activity, and decreased Pol II occupancy at MIR genes in the rbv-1 mutant. In Arabidopsis, a series of proteins have been found to promote MIR transcription and/or pri-miRNA processing and can be grouped into two main classes1. One group contains CBP80 and CBP2041, STA142, SICKLE39, TOUGH43, PINP144, THO1 and THO245,46, and MOS247. A common feature is that mutants in these genes show reduced levels of miRNAs and increased abundance of pri-miRNAs. The second group of proteins acts in a different manner. In loss-of-function mutants in the genes in this group, the abundance of both pri-miRNAs and mature miRNAs is reduced. Proteins in this group include DAWDLE48, CDC57, NOT26, Elongator8, PRL149, MAC735, PP437, and THP19. Besides, mutants in PRL1, CDC5, MAC7, PP4, and THP1 show a reduced number of HYL1 D-bodies7,9,35,37,49. A number of proteins in this group interact with DCL1, HYL1, or SE and thus are thought to bridge MIR gene transcription and pri-miRNA processing6,7,8,9,37,48. Besides the two main classes, the third group, which includes CHR2, a partner of SE, promotes the transcription of MIR genes but represses miRNA accumulation by inhibiting pri-miRNA processing10. Our studies show that RBV belongs to the second group of proteins that promotes MIR gene transcription and possibly pri-miRNA processing.
RBV also differs from the second group of proteins in that it has a clear role in miRISC formation. In the rbv-1 mutant, both AGO1 and miR159 shift into complexes with higher molecular weights. RBV itself is also found in HMW complexes. We suspect that the HMW complexes containing AGO1 and miR159 represent intermediates in miRISC formation and that RBV helps the dissociation of AGO1-miRNA from other proteins to form active miRISCs. Heat Shock Protein 90 (HSP90) is required for sRNA loading into AGO1 in tobacco lysates50 and for RISC formation in Drosophila and humans51. HSP90 proteins are involved in RNA silencing in animals52 and plants53,54. Consistently, HSP90.4 was found in GFP-AGO1 IP spectrometry experiments25. Another protein that has recently been shown to play a role in miRISC formation is CARP9, which interacts with both HYL1 and AGO1 in the nucleus55. The relationship between RBV, HSP90 and CARP9 is worth investigating in the future. In summary, RBV, as a nuclear WD40 protein, is involved in multiple steps in miRNA biogenesis, including MIR transcription, pri-miRNA processing and AGO1 loading (Fig. 7).
Proteins such as MAC7, PP4, MAC3A/3B, and PRL1 act not only in miRNA biogenesis but also in pre-mRNA splicing in Arabidopsis35,37. We found that RBV also plays a role in splicing. Similar to mutants in MAC7, PP4, MAC3A/3B, and PRL1, no significant correlations between intron retention and changes in gene expression were found in the rbv-1 mutant. Introns retained in the rbv-1 mutant had minimal overlap with those in the other mutants, suggesting the presence of different categories of introns, whose splicing requires distinct factors. RBV acts on genes with more introns and introns that are shorter in length. Furthermore, intron retention was not found for intron-containing pri-miRNAs in rbv-1, suggesting that mutation of RBV leads to a defect in miRNA biogenesis and pre-mRNA splicing independently. It is possible that RBV function is required for yet other aspects of nuclear RNA metabolism.
Methods
Plant materials and growth conditions
The transgenic Arabidopsis thaliana (Col ecotype) line pSUC2:amiR-SUL expressing amiR-SUL under the sucrose-proton symporter 2 (SUC2) promoter was a kind gift from Dr. Detlef Weigel29. Transgenic lines harboring pSE:SE-mRuby3, pMIR167a:GUS, and pHYL1:HYL1-YFP5,9,22,49 were used in this study. All seeds were sown on 1/2 Murashige and Skoog Basal Medium (Sigma-Aldrich, M5519) plus 1% Sucrose and 0.8% Agar. All plants were grown at 22 °C under 16 h light and 8 h dark cycles.
Mutagenesis and mapping
EMS mutagenesis was performed as described9. A mutant, amiR-SUL rbv-1, with reduced leaf bleaching, was isolated and then backcrossed with the parental line pSUC2:amiR-SUL. In the F2 generation, ~100 plants with the amiR-SUL rbv-1 phenotype were identified. Genomic DNA was extracted by the CTAB method56 from individual plants and an equal amount of DNA was pooled for genomic DNA library construction. The library was paired-end (PE151bp) sequenced on the Illumina platform HiSeq4000 at 50x coverage at BGI-Shenzhen, China. Focusing only on G-to-A mutations in coding regions, a mutation in At5g64730 was identified in amiR-SUL rbv-1. A derived cleaved amplified polymorphic sequences (dCAPS) marker was designed to genotype this mutation (Supplementary Table 2). The PCR products from wild type can be digested by NcoI, whereas those from amiR-SUL rbv-1 could not. Genotyping the ~100 individuals showed that this mutation was linked to the plant phenotype.
DNA constructs and complementation
The genomic region of RBV (At5g64730) including ~1 kb promoter was amplified with the primers proRBV-F and RBV-R (Supplementary Table 2) and cloned into the pTSK108 vector. The clone was sequenced to ensure the absence of mutations and was recombined with the pGWB640 gateway vector57 to generate the pRBV:RBV-eYFP construct via LR reaction. The pRBV:RBV-eYFP plasmid was transformed into the rbv-1 mutant in both amiR-SUL and Col backgrounds through the A. tumefaciens-mediated floral dip method as described58. The T1 transgenic plants were selected by BASTA resistance.
Fluorescence microscopy
For the visualization of RBV-eYFP and HYL1-YFP in transgenic plants, roots of 10-day-old seedlings were observed under a Zeiss LSM 5 Pascal inverted confocal microscope (excitation, 488/512 nm/nm; emission, 520/50 nm/nm). For SE-mRuby3 and SE-eCFP, roots of 10-day-old pSE:SE-mRuby3 seedlings were observed under a LeicaSP8 confocal microscope (excitation, 514 nm; emission, 540–600 nm).
Small RNA sequencing and data analysis
Total RNAs were extracted from 14-day-old seedlings using TRI reagent (TR118, Molecular Research Centre). Small RNAs in the size range of 15–40 nt were isolated from 30 μg total RNAs by resolving total RNAs in denaturing polyacrylamide gels, excising gel pieces containing 15–40 nt RNAs and elution of the small RNAs according to Liu et al59. Small RNA libraries were prepared with NEBNext Multiplex Small RNA Library Prep Set for Illumina (New England Biolabs, E7300), and then sequenced using an Illumina HiSeq2500 platform at BerryGenomics, China. Data analysis was performed with the pRNASeqTools pipeline (https://github.com/grubbybio/pRNASeqTools). The raw reads (SE50) were trimmed using Perl scripts to remove adapters (adapter: AGATCGGAAGAGC). The clean reads were mapped to the A. thaliana genome using the Bowtie program60. For miRNA analysis, the small RNA reads were mapped to miRBase v21. The sequences of miRNA and miRNA* were obtained from the PRIMEN database: http://www.pmiren.com/ftpdownload/Arabidopsis_thaliana_Ath/Arabidopsis_thalianamature.fa. For tasiRNA analysis, the reads that were mapped to 100-bp windows overlapping with TAS1A/B/C and TAS2 loci were counted. The small RNA reads were normalized by calculating the RPM value (reads per million trimmed reads)61. The comparison between genotypes was conducted by the R package “DESeq2” with a 1.5-fold change and P < 0.01 as the cutoff62. For AGO1 IP sRNA-seq analysis, reads were normalized by total mapped reads. The comparison between genotypes was conducted with the two-factor model by DESeq2.
Small RNA gel blotting
RNA gel analysis of small RNAs was performed as described63. Ten micrograms of total RNAs were separated on 15% polyacrylamide/8 M urea gels. After gel electrophoresis, the RNAs were transferred to a Hybond-NX nylon membrane (GE healthcare). Antisense complementary oligonucleotides (Supplementary Table 2) were synthesized with both 5’ and 3′ end-labeled biotin. A probe complementary to U6 (5′ CATCCTTGCGCAGGGGCCA 3′) was used to detect U6 as an internal control. Hybridization was performed for 16 h at 55 °C followed by washes. Signals were detected using the chemiluminescent nucleic acid detection module (Thermo Fisher, 89880).
Reverse transcription-quantitative PCR (RT-qPCR)
RT-qPCR was performed to quantify mRNA and pri-miRNAs levels. One microgram total RNA was reverse transcribed with oligo (dT) using the PrimeScript™ 1st Strand cDNA Synthesis Kit (TAKARA, 6110A) according to the manufacturer’s instructions. RT-qPCR was performed in the 96-well StepOnePlus real-time system (ABI) using the SYBR premix ExTaq II kit (TAKARA, RR820A). The following scheme was used: 95 °C for 30 s and 40 cycles of 95 °C for 5 s and 60 °C for 30 s. The levels of transcripts were normalized to the level of the internal standard UBQ5 and the 2−△△CT values of control samples were set to 1. The primers for pri-miRNAs are listed in Supplementary Table 2. Three independent biological replicates were carried out for each genotype. The student’s t-test was used for the evaluation of statistical significance.
Histochemical GUS staining
Fourteen-day-old seedlings of pMIR167a:GUS and pMIR167a:GUS rbv-1 (homozygous for both the transgene and the rbv-1 mutation) were subjected to histochemical GUS staining according to the standard protocol64. Tissues were vacuum infiltrated in the staining solution (1 mM EDTA, 5 mM potassium ferricyanide, 5 mM potassium ferrocyanide, 100 mM sodium phosphate, 1% Triton X-100, 1 mg ml−1 X-Gluc) for 10 min and then incubated at 37 °C for 2 h in the dark. Tissue clearing was performed with 70% ethanol for 2 h before imaging.
Chromatin immunoprecipitation (ChIP) assay
RNA Polymerase II ChIP was performed as described5 with 14-day-old Col and rbv-1 seedlings using an antibody against RPB1 (Abcam, ab817, dilution 1:200). Seedlings were cross-linked in buffer (0.4 M Sucrose, 10 mM Tris-HCl Ph8.0, 1 mM EDTA, 1 mM PMSF, 1% proteinase inhibitor cocktail, and 1% formaldehyde) at room temperature under the vacuum and glycine was added to a final concentration of 100 mM to stop the crosslinking. Then the plant material was ground to a fine powder, which was then resuspended in cold nuclei-isolation buffer (0.25 M sucrose, 15 mM PIPES pH 6.8, 5 mM MgCl2, 60 mM KCl, 15 mM NaCl, 1 mM CaCl2, 0.9% Triton X-100, 1 mM PMSF and 1% proteinase inhibitor cocktail). The suspension was filtered through two layers of Miracloth and centrifuged at 12,000g for 20 min at 4 °C. The pelleted nuclei were resuspended in nuclei lysis buffer (50 mM HEPES pH7.5, 150 mM NaCl, 1 mM EDTA, 1% sodium dodecyl sulfate (SDS), 0.1% sodium deoxycholate, 1% Triton X-100, and 1% proteinase inhibitor cocktail) followed by sonication (Covaris S200). Then the sonicated suspension was centrifuged at 12,000g at 4 °C to pellet debris. The supernatant was collected and diluted with ChIP dilution buffer (50 mM HEPES pH7.5, 150 mM NaCl, 1 mM EDTA, 0.1% sodium deoxycholate, 1% Triton X-100, and 1% proteinase inhibitor cocktail). The diluted chromatin sample was precleared with protein A agarose beads followed by incubation with antibodies with gentle rotation overnight at 4 °C. Then protein A agarose beads were added followed by incubation for 2 h at 4 °C with gentle rotation. The beads were washed with low-salt wash buffer (150 mM NaCl, 20 mM Tris-HCl pH8.0, 0.2% SDS, 0.5% Triton X-100, and 2 mM EDTA), high-salt wash buffer (500 mM NaCl, 20 mM Tris-HCl pH8.0, 0.2% SDS, 0.5% Triton X-100 and 2 mM EDTA), and LiCl wash buffer (0.25 M LiCl, 1% sodium deoxycholate, 10 mM Tris-HCl pH8.0, 1% CA630 and 1 mM EDTA) and twice with TE buffer (1 mM EDTA, 10 mM Tris-HCl pH8.0). The chromatin was eluted with elution buffer (1 mM NaHCO3 and 1% SDS) and 20 µl 5 M NaCl was added followed by incubation at 65 °C for at least 6 h to reverse crosslinking. Removal of protein and RNA was achieved by adding 1.5 µl 18.9 mg ml−1 proteinase K and 1 µl of 1 M RNase A per 500 µl. DNA was extracted by the phenol/chloroform extraction method. RT-qPCR was performed with co-immunoprecipitated DNA, using primers listed in Supplementary Table 2. Relative enrichment was calculated by normalizing the amount of ChIP-ed DNA to the corresponding amount in the input.
Western blot analysis
Western blots were performed as described63. Proteins from 14-day-old seedlings were extracted, resolved in 12% (v/v) SDS-polyacrylamide gels, and transferred to Hybond C-Extra membranes (Amersham Biosciences). The membranes were blocked with 5% (w/v) non-fat milk in Tris buffered saline tween (TBST) buffer and then probed with specific antibodies. Antibodies used included anti-GAPDH (Santa Cruz Biotechnology, sc-365062, dilution, 1:1000), anti-SUL (dilution, 1:1000)35, anti-HYL1 (Agrisera, AS06136, dilution, 1:2000), anti-AGO1 (Agrisera, AS09527, dilution, 1:2000), anti-SE (Agrisera, AS09532A, dilution, 1:1000), anti-H3 (Agrisera, AS10710, dilution 1:3000) and anti-GFP (Abcam, ab290, dilution, 1:3000). After three washes, the membranes were probed with horseradish peroxidase-conjugated, goat-anti-rabbit IgG (Bio-Rad, cat.172-1019) (dilution, 1:2000) or goat anti-mouse IgG (Bio-Rad, cat.170-6516, dilution, 1:2000). The protein signals were detected with the AmershamTM ECLTM Prime Western Blotting Detection Reagent (GE healthcare, RPN2232) and visualized with the Chemiluminescence imaging system (Clinx Science Instruments Co. Ltd., China).
RNA-Seq data analysis
Total RNAs extracted from 14-day-old seedlings were sent for library construction at Novogene, China and libraries were sequenced on an Illumina Hiseq 4000 platform to generate paired-end reads of 150 bp in length. The data analysis of RNA-seq libraries was carried out as described65. The clean reads were collapsed into nonredundant ones and mapped to the Arabidopsis genome (ARAPORT11) using STAR, allowing a maximum of eight mismatches per paired-end read66. DEGs were identified between Col and rbv-1 using cuffdiff67 with FPKM > 1, fold-change >2 and FDR < 0.05 as filters. Expression levels of all genes and DEGs were plotted using the value of log2 (FPKM + 1). GO enrichment analysis was performed with agriGO68 using a webtool (http://bioinfo.cau.edu.cn/agriGO/). Only the top 20 terms were presented in this paper. The analysis of splicing defects was carried out using Araport 11 intron annotation and a previously developed pipeline known as SQUID (https://github.com/sfli001/SQUID). In brief, the level of retained introns was calculated using two methods: PI_Junction (intron–exon junction reads/[intron–exon junction reads + exon–exon reads]) and PI_density (normalized intronic reads/normalized exonic reads). The differentially spliced introns were defined using a stringent cutoff: combined_FDR < 0.1, Diff_PI_Junction > 0.05, Diff_PI_Density > 0.05. PI_Junction was used to represent the levels of retained introns.
AGO1 IP assay
One gram of 14-day-old seedlings was ground in liquid nitrogen, and IP buffer (50 mM Tris pH 7.5, 150 mM NaCl, 10% Glycerol, 0.1% NP-40, 1 mM PMSF) and EDTA-free protease inhibitor mixture (Roche) were added to the powder, which was followed by 20 min incubation with gentle shaking at 4 °C. The supernatant was incubated with 100 μL of dynabeads (Invitrogen, 10002D) for 2 h at 4 °C. After centrifugation, the supernatant was used for IP. 50 μL was saved as input, and the rest was incubated with anti-AGO1 antibody (Agrisera, AS09527, dilution, 1:2000) for 2 h at 4 °C. The beads were washed with wash buffer (IP buffer with 0.5% NP-40), and 1/10 (v/v) was added to 2× SDS-loading buffer for western blot analysis and 9/10 (v/v) was used for RNA isolation. Small RNA libraries were prepared using the NEBNext Multiplex Small RNA Library Prep Set for Illumina (New England Biolabs, E7300), and sequenced on an Illumina HiSeq2500 platform at BerryGenomics, China. The proteins were separated by SDS-PAGE and protein gel blot analysis was performed using anti-AGO1 antibody (Agrisera, AS09527, dilution, 1:2000).
Nuclear–cytoplasmic fractionation
Twelve-day-old seedlings were collected and cross-linked in 0.5% formaldehyde/1× phosphate-buffered saline (PBS) buffer under vacuum for 10 min twice on ice. Then glycine was added to a final concentration of 100 mM to stop the crosslinking followed by incubation for 5 min under vacuum on ice. The plant material was washed in 1× PBS buffer and frozen in liquid nitrogen immediately for nuclear–cytoplasmic fractionation.9 The frozen seedlings were ground to a fine powder in liquid nitrogen and resuspended in 2 ml g−1 lysis buffer (20 mM Tris-HCl, pH7.5, 20 mM EDTA, 2.5 mM MgCl2, 25% glycerol, 250 mM sucrose, 5 mM DTT, and 1× protease inhibitor cocktail (Roche)). The suspension was filtered through two layers of Miracloth. The flow-through was centrifuged at 1500g for 10 min at 4 °C. The supernatant was centrifuged at 10,000g for 10 min at 4 °C, and the supernatant was collected as the cytoplasmic fraction, which was used for RNA isolation using the Trizol method. The pellet from the 1500g spin was washed 10 times with 10 ml nuclear resuspension buffer 1 (NRB1) (20 mM Tris-HCl, pH7.5, 2.5 mM MgCl2, and 0.2% Triton X-100). The washed pellet was resuspended with 500 µl NRB2 (20 mM Tris-HCl, pH7.5, 10 mM MgCl2, 250 mM sucrose, 0.5% Triton X-100, 5 mM β-mercaptoethanol, and 1× protease inhibitor cocktail). The sample was centrifuged at 16,000g for 45 min at 4 °C. The final nuclear pellet was used for RNA isolation using the Trizol method. The cytoplasmic and nuclear fractions underwent the same AGO1 IP procedure as described above.
Gel filtration assay
One gram of 14-day-old T3 pRBV: RBV-eYFP rbv-1 seedlings and wild type was collected and ground in liquid nitrogen. Then 1.5 ml phosphate buffer supplemented with 1 mM PMSF, 1% EDTA-free protease inhibitor mixture, RNase Inhibitor (TAKARA) and 0.4% CA630 were added to the powder. The homogenized crude extracts were kept on ice for 20 min. After two rounds of centrifugation for 20 min (12,000g) each at 4 °C, 1.5 ml of the cleared crude extract was immediately used for sample injection. Gel-filtration chromatography was carried out as described28 using a Superdex 200 Increase 10/300GL column. In total, 44 fractions (each 800 μL) were collected. A 300 μL of each fraction was used for protein extraction for detecting AGO1 and 500 μL for total RNA purification for sRNA detection. Markers of known sizes (Aprotinin, 6.5 kDa; Ribonuclease A, 13.7 kDa; Carbonic Anhydrase, 29 kDa; Conalbumin, 75 kDa; Aldolase, 158 kDa; Ferritin, 440 kDa; Thyroglobulin, 669 kDa; blue dextran, 2000 kDa) were used for column calibration.
RBV conservation analysis
hmmsearch (HMMER 3.3) was employed to search for RBV homologs in a plant genome database (Supplementary Data 2) with a seed file created by the cDNA sequence of RBV. Close homologs of RBV were retained by a primary Neighbor-Joining tree based on MUSCLE (v3.8.1551)-aligned sequences and manual selection. The coding sequences of these genes were aligned by MUSCLE and manually corrected.
The final maximum likelihood tree was constructed using the general time-reversible model and 1000 bootstrap replicates based on nucleotide sequences. The output tree was visualized by iTOL69.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
All raw and processed data were deposited at NCBI GEO (http://www.ncbi.nlm.nih.gov/geo/) with the accession number GSE152911. Source data are provided with this paper.
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Acknowledgements
We thank Dr. Detlef Weigel for sharing the pSUC2:amiR-SUL transgenic line. This work was funded by the National Natural Science Foundation of China (31870287 and 31701112), China Postdoctoral Science Foundation (2015M582402), National Institutes of Health (GM129373), and Guangdong Innovation Team Project (2014ZT05S078).
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C.L., Q.C., B.M., and X.C. designed the project and experiments. C.L., Q.C., C.X., F.W., B.Z., and D.C. performed the experiments. C.L, S.L., C.Y., T.L., and L.G. analyzed the data. C.L., Q.C., B.M., and X.C. wrote the paper.
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Liang, C., Cai, Q., Wang, F. et al. Arabidopsis RBV is a conserved WD40 repeat protein that promotes microRNA biogenesis and ARGONAUTE1 loading. Nat Commun 13, 1217 (2022). https://doi.org/10.1038/s41467-022-28872-x
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DOI: https://doi.org/10.1038/s41467-022-28872-x
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