Skip to main content

Blocking miR396 activity by overexpression MIM396 improved switchgrass tiller number and biomass yield

Abstract

Background

MicroRNA396 (miR396) plays an important role in the regulation of plant growth and development by repressing the expression level of its target growth-regulating factor (GRF) family genes. In our previous study, we found that overexpression of miR396 negatively regulated both tillering and biomass yield in switchgrass (Panicum virgatum L.). We, therefore, speculated that blocking the expression of miR396 could enhance switchgrass tillering and biomass yield. Here, we produced transgenic switchgrass plants overexpressing a target mimicry form of miR396 (MIM396) in wild type (WT) and Os-MIR319b overexpressing switchgrass plant (with higher enzymatic hydrolysis efficiency, but reduced tillering), in which the expression of miR396 was blocked. The phenotype and biological yields of these plants were analyzed.

Results

Blocking miR396 to improve its target PvGRFs expression in switchgrass improved the tiller number and dry weight of transgenic plants. Further morphological analysis revealed that MIM396 plants increased the number of aerial branches and basal tillers compared to those of wild-type plants. The enzymatic efficiency of MIM396 plants was reduced; however, the total sugar production per plant was still significantly higher than that of wild-type plants due to the increase in biomass. In addition, blocking miR396 in a transgenic switchgrass plant overexpressing Os-MIR319b (TG21-Ms) significantly increased the PvGRF1/3/5 expression level and tiller number and biomass yield. The miR156-target gene PvSPL4, playing a negative role in aerial and basal buds outgrowth, showed significant downregulated in MIM396 and TG21-Ms. Those results indicate that miR396-PvGRFs, through disrupting the PvSPL4 expression, are involved in miR319-PvPCFs in regulating tiller number, at least partly.

Conclusions

MIM396 could be used as a molecular tool to improving tiller number and biomass yield in switchgrass wild type and miR319b transgenic plants. This finding may be applied to other graminaceous plants to regulate plant biological yield.

Background

Switchgrass (Panicum virgatum L.) is a C4 perennial tall grass, native to North America, which has received extensive attention from researchers as a foundation plant species for ecological restoration, new energy feedstocks and also a forage crop [1]. Since 1991, it was regarded as a model bioenergy crop by the U.S. Department of Energy [2]. It has been found that improving plant morphology such as tiller number, plant height, leaf angle and lignocellulose conversion efficiency are important to increase the biomass of switchgrass. The most widely reported aspect of monocotyledon tillering is the formation of basal tillers. The novel phytohormone strigolactone (SL) has been widely reported in inhibition tiller genesis in plants [3,4,5]. TEOSINTE BRANCHED1 (TB1) was first identified in maize [6], and its function in regulating tillering in monocotyledonous plants has also been demonstrated in wheat and rice. The mode of gibberellin (GA), a key hormone driving the Green Revolution, to regulate MONOCULM 1 (MOC1) and thus increase tiller number has also been revealed [7]. In contrast to basal shoots, aerial shoots have rarely been reported. Aerial buds in monocotyledons are mostly blocking by apical dominance [8], and decreased polar auxin transport (PAT) capacity causes increased tillering in monocotyledons. From the miR156-SPL4 module regulating aerial and basal bud sprouting, we can also speculate that other microRNAs may also have a regulatory relationship on axillary bud genesis [9]. Overexpression of rice Osa-miR156b gene in switchgrass resulted in a phenotype like that of overexpression of Corngrass1 (Cg1), with a significant increase in tillers, plant height similar to that of the wild type, and a significant increase in biomass in the low overexpression lines [10]. In addition, miR393 in switchgrass repressed the expression of genes related to growth hormone sensitivity, such as PvTIR1 and PvAFB1/2/3, which in turn led to an increase in tiller number and also biomass yield [11]. However, switchgrass has a large amount of lignin-bound cellulose and hemicellulose, and excessive lignin content reduces ethanol production in switchgrass [12]. 4-coumarate: coenzyme A ligase 1 (Pv4CL1) is one of the key enzymes regulating the early steps in the biosynthesis of lignin monomers, and either RNAi interference or CRISPR/Cas9 knockdown of Pv4CL1 significantly reduced the lignin content of switchgrass and increased the enzymatic efficiency [13]. However, changing lignin content also affects plant sensitivity to biotic and abiotic stresses [14]. Therefore, it is particularly important to find relationships that can balance the relationship between biomass and sugar yield.

Plant microRNAs (miRNAs) are a class of non-coding single-stranded small molecule RNAs consisting of 20–24 nucleotides. It was reported that miRNAs play key roles in plant growth and development, response to adversity, and many other aspects by suppressing the expression levels of their target genes [15]. In recent years, more and more miRNAs have been revealed in plant development. For example, miR156 affects plant root development [16], abiotic stress [17], and tillering [18] by regulating the SPL family, miR319b regulates plant leaf development [19] and signaling [20], as well as miR397 regulates grain weight and meristem in rice [21]. MiRNA396 is one of the important miRNAs in plants, which is highly conserved in plants. MiRNA396 regulates plant growth and development through target to growth-regulating factor (GRF) family genes [22, 23]. In Arabidopsis, overexpression of miR396 results in reduced leaf area and cell number, a phenotype that can be restored by overexpression of rGRF2, which is resistant to miR396 shear [24, 25]. Meanwhile, inhibition of miR396a in Arabidopsis resulted in an increase in root length, while overexpression of miR396-shear- cleavage AtGRF1 and AtGRF3 significantly shortened root length [26, 27]. MiR396 is also involved in plant response to abiotic stresses, and the targeting of NtGRF1 by Sp-miR396a-5p in tobacco enhanced its tolerance to salt, drought, and cold stress tolerance [28]. Transgenic plants overexpressing Os-miR396c in Agrostis stolonifera had reduced biomass of aboveground parts but enhanced their salt tolerance [29]. In a recent study, miR396-x and miR396-z were found to be significantly down-regulated in Sugarcane (Saccharum spp. hybrids) which in turn regulated sugar accumulation [30]. These reports suggest that miR396 may play a key role in regulating tillering, biomass, and sugar content in switchgrass. To date, the regulation of miR396 in plants has focused on the growth and development of leaves, flowers, and roots [31,32,33], and little has been reported on its regulation of aerial meristem, basal tiller development and total sugar yield in energy plants.

In our previous study, we found that overexpression of Os-MIR319b in switchgrass could improve salt tolerance and biomass production, but its tiller number was significantly reduced [33, 34]. In addition, we also found that miR396 has a significant positive regulatory effect on the saccharification efficiency of switchgrass cell wall, but it will reduce tillering and biomass production [35]. Based on this, we speculate that overexpressing Os-MIR319b and inhibiting the expression of miR396 may increase tiller number and simultaneously increase biomass yield. We first inhibited the expression of miR396 in wild-type plants and found that it can effectively increase aerial branching and basal tillering, and increase the dry matter yield of a single plant and thus the total sugar yield. Subsequent overexpression of MIM396 in Os-MIR319b-overexpressing plant restored their reduced tillering phenotype. Therefore, our results indicate blocking miR396 could be used to improve biomass yield in switchgrass and may other graminaceous plants.

Results

Blocking miR396 increased switchgrass biomass yield

We identified four PvmiR396 genes to produce miR396 in the switchgrass genome (Fig. S1a, b, Table S1). We overexpressed the artificial gene MIM396 to block miR396 in two callus lines (A2 and A3) of Alamo (Fig. 1a, Fig. S2a-c). After PCR identification, we obtained six MIM396 transgenic plants (Ms), M1 to M6, regenerated from the A2 line and two transgenic plants (M8, and M9) regenerated from the A3 line (Fig. S2a). Among them, seven lines (without M4) showed RT-PCR positive (Fig. S2b). The relative expression level of miR396 in Ms (without M2) was significantly reduced compared with that in WT (regenerated wild type from A2 line) or WT3 (regenerated wild type from A3 line), respectively (Fig. 1b, Fig. S2d). And the miR396 target genes, PvGRF1, PvGRF3, PvGRF8, and PvGRF9, significantly highly expressed in M3 and M5. Only PvGRF1 is highly expressed in M1 (Fig. 1c). In A3 line, PvGRF1, PvGRF5, PvGRF8 and PvGRF9 in M8 and M9 were highly expressed (Fig. S2h). For 6-month-old plants, M3 and M5 showed significant increase in biomass yield (Fig. 1d). And the significant increased biomass yield was also noticed in A3 background MIM396 transgenic plants compared that in WT3 (Fig. S2g). Those results indicated that blocking expression of miR396 by overexpressing MIM396 improved biomass yield in switchgrass. According to the morphological characteristics and the expression level of miR396 and PvGRFs in MIM396 transgenic plants, M3 and M5 were chosen for further study.

Fig. 1
figure 1

Blocking miR396 activity by overexpressing MIM396 improved switchgrass biomass yield. a Typical photograph of 6-month-old wild type (WT) and MIM396 transgenic plants (Ms). b The relative expression level of miR396 in WT and transgenic plants overexpressing MIM396 (Ms). c The relative expression level of PvGRFs in WT and Ms. d The above-ground biomass yield of WT and Ms. Data are shown as the mean of three biological repeats ± SD. The asterisk represents a significant difference (P < 0.05)

MIM396 increased basal bud number and promoted aerial bud outgrowth

We carefully recorded plant phenotypes in order to investigate the mechanism of biomass improvement in Ms. As the results shown, for 6-month-old plants, there were no significant difference in plant height, leaf length and width, and stem diameter between WT and Ms (Fig. 2a, Fig. S2e, Table S2). Interesting, the tiller number of Ms showed dramatically increased by about two to three times compared that of WT (Fig. 2b, Fig. S2f). We found M5 plant contained more basal buds in root (indicate by the red star in Fig. 2c). The number of basal buds of single tiller also showed significantly increased in Ms than that in WT (Fig. 2d–e). Surprisingly, we observed the axillary buds by stereo microscopes and found the axillary buds of M3 and M5 were longer than those of WT in the third and fourth internodes on the E4 stage tiller (Fig. 3a, d), which could outgrowth of the leaf sheath as aerial buds or the secondary and third branches in Ms (indicated by the white arrows in Fig. 3b and the typical aerial buds are shown in Fig. 3c). We detected the relative expression level of bud initiation and outgrowth-related genes. The results showed that these genes were downregulated in M plants, except PvMOC1, which was higher in M5 (Fig. 3e). The above results indicated that miR396 promotes tillers related to the development of basal and aerial buds, which may be correlated with the expression of PvWUS and PvSPL4.

Fig. 2
figure 2

MIM396 improved the tiller number of transgenic plants overexpressing MIM396. a, b Comparison of plant height (a) and tiller number of WT and Ms plants. c The photograph shows the roots of WT and M5 plants. Basal buds were marked with red stars. d The typical photograph of basal buds from a single tiller. Basal buds were labeled with red stars. e Statistical analysis of the basal bud number per tiller. (N = 3, n = 15). The data were shown as box plots with minimum to maximum plots. The center lines represent the medians, “ × ” represents the mean value, and the down and up whiskers extend to the minimum and maximum values. Plant height and tiller number data are shown as the mean of three biological repeats ± SD. The basal bud number per tiller data were assessed from three biological replicates (N = 3) with 15 technical repeats (n = 15). The asterisk represents a significant difference (P < 0.05)

Fig. 3
figure 3

MIM396 promotes aerial bud outgrowth. a The typical photograph of aerial buds of a single tiller on the stage of E4. N3 and N4 present the third and fourth internodes from the top, respectively. These photos were photographed with stereomicroscopes, and the scale bar represents 2 mm. b The upper stem phenotype on the R3 stage. Aerial branches were labeled with white arrows, and different color boxes marked the upper buds. c The typical aerial buds are photographed in figure b. The scale bar was shown as 0.5 cm. d Length of aerial buds in the fourth internode of the E4 stage. e The relative expression level associated with bud initiation and outgrowth of WT and Ms plants. The expression of WT was used as a control. Data are shown as the mean of three biological repeats ± SD. The asterisk represent significant differences (P < 0.05)

MIM396 improved total sugar yield due to a dramatic increase in biomass yield per plant

In our previous report, we found miR396-PvGRFs negatively regulated lignin content. In this study, there were no significant difference between WT and Ms in phloroglucinol-HCl staining (Fig. 4a), AcBr lignin content (Fig. 4b) and lignin monomer content (Fig. S3). We found the cell wall residue (CWR) content of stem showed significant higher in M5 and M3 (about 82 to 84% of the dry matter) than WT (about 78% of the dry matter) (Fig. 4c). Further study showed that the enzymatic hydrolysis efficiency of Ms was significantly lower than that of WT under unpretreated and pretreated conditions (Fig. 4d). However, the total sugar yield of per plant of Ms was significantly higher than that of WT, which mainly due to higher dry matter content in Ms (Fig. 4e).

Fig. 4
figure 4

Analysis of lignin content, enzymatic hydrolysis efficiency, and soluble sugar yield. a Phloroglucinol-HCl staining assay of lignin content in the middle of the first internode of E3 stage cross-sections. Scale bar represents 1mm. b AcBr content of WT and Ms. c cell wall residue (CWR) content of stem. d Enzymatic hydrolysis efficiency with or without NaOH treatment of WT and Ms. e Total sugar yield per plant. Data are shown as the mean of three biological repetitions ± SD. The different letters represent a significant difference (P < 0.05)

Blocking miR396 in Os-miR319b transgenic plants

In our previous report, overexpression Os-miR319b (TG21) significant reduced switchgrass tiller numbers [34]. To explore whether the miR396-GRF module is involved in the miR319-PCF pathway in regulating tiller number, we measured the expression pattern of miR396 precursors and PvGRFs in basal buds of TG21. PvmiR396a-1 was showed up-regulation, and PvGRF1 and PvGRF9 showed down-regulation expression in basal buds of TG21 compared that in WT (Fig. S4a-b). In this study, we generated 12 MIM396 PCR positive lines in TG21 (Fig. S4c). The miR396 expression level showed significant down-regulation than that in TG21 (Fig. 5a). We classified them into four groups based on the expression level of miR396 record as TG21-M1 to TG21-M4. Each group contained three transgenic lines as biological repeats (Fig. 5b). The miR396 target PvGRFs showed different expression pattern in TG21-Ms. PvGRF1, PvGRF3 and PvGRF5 showed up-regulation in TG21-M2, M4 than that in TG21, however, in TG21-M3, only PvGRF1 and PvGRF3 showed high expression (Fig. 5c).

Fig. 5
figure 5

Overexpressing MIM396 in TG21, an Os-miR319b transgenic line (TG21-Ms). a miR396 expression level in TG21 and TG21-Ms. b The morphological image of TG21 and TG21-Ms. c The relative expression level of PvGRFs in TG21 and TG21-Ms. Data are shown as the mean of three biological repeats ± SD. The asterisk represents a significant difference (P < 0.05)

MIM396 improved the tiller number of TG21

Firstly, we stained the DMS powder of TG21-Ms and found that MIM396 did not have a significant effect on lignin content in the TG21 background (Fig. S4d). Therefore, we subsequently focused mainly on its effect on tillering and dry weight. As Fig. 6a shown, the root of TG21-Ms was significant bigger than TG21, and the diameter of rootstock significant thicker than TG21 (Fig. 6b). Compared with TG21, tiller number of per plant of TG21-Ms was significant increased than TG21 (Fig. 6c). Analysis the buds number per tiller also showed that the TG21-Ms had more buds than that of TG21 (Fig. 6d). Obviously, those phenotypes resulted in a significant higher dry biomass yield of TG21-Ms than TG21 (Fig. 6e). We also examined the expression of PvWUS, PvWOX4, PvMOC1 and PvSPL4 in TG21-M1 to TG21-M4, and we found that PvSPL4 appeared to be down-regulated compared to TG21, but PvWUS, PvWOX4 and PvMOC1 do not show a trend exactly in line with MIM396. (Fig. S4e).

Fig. 6
figure 6

Overexpressing MIM396 improved the TG21 tiller number and biomass yield. a The root phenotype of four-month-old TG21 and TG21-Ms plants and the typical photograph of basal buds of single tiller. b Analysis statistic of diameter of rootstock. c Tiller number per plant. d Number of buds per tiller. At least 15 numbers were used for measurement. The data were shown as box plots with minimum to maximum plots. The center lines represent the medians, “ × ” represents the mean value, and the down and up whiskers extend to the minimum and maximum values. The asterisk represents a significant difference (P < 0.05). e Above ground biomass yield per plant. Data was shown as the mean of three biological repeats ± SD (c, d and e). The different letters represent a significant difference (P < 0.05)

Discussion

The plant architecture and sugar yield of switchgrass is important for improving its energy production. MiR396 plays an important role in plant leaf, flower, and root growth and development, such as negatively regulating leaf area, leading to inflorescence anomalies as well as increased root length [24, 36, 37]. We had demonstrated that the miR396-GRF module negatively regulated plant height and biomass yield in switchgrass [35]. And, highly overexpressed miR396 lines showed a reduction in tiller number [35]. In this study, our data clearly showed that blocking miR396 by overexpressing MIM396 resulted in a dramatic increase in tiller number and dry weight but did not effect the plant height in switchgrass. Several reports have shown similar phenomena, such as overexpression of miR319b, which significant reduced tiller number, but MIM319 transgenic plants did not increase it [38]. Those contradictions were boldly speculated to be resulting from the not quite opposite expression pattern of miRNA-target genes in miRNA overexpression and inhibiting transgenic plants. We found all miR396-target PvGRFs were downregulated in overexpression miR396 transgenic plants [35], but only PvGRF1/3/5/8/9 (without PvGRF4) showed upregulation in MIM396 transgenic plants. Our previous report showed that different PvGRFs hold specific and redundant functions in switchgrass. Such as PvGRF1 and PvGRF9, but not PvGRF3, play positive roles in regulating switchgrass plant height but have no significant effect on tiller number [38]. In this study, the MIM396 transgenic line M1, which upregulated PvGRF1 expression only, showed no significant difference in tiller number compared with WT. In the transgenic plants of TG21-Ms only PvGRF1, PvGRF3, and PvGRF5 showed up-regulated expression. However, PvGRF3 and PvGRF5 showed different expression patterns in MIM396 transgenic plants from A2 and A3 backgrounds. We boldly speculate that PvGRF3 and PvGRF5 may play a key and redundancy role in improving switchgrass tiller number, which is worthy for further study.

The site of tiller development in grass plants determines plant architecture, and in monocotyledonous plants there are two types of tillers, the aerial and basal buds. Many genes regulating basal bud genesis have been identified [39,40,41,42], in contrast to aerial buds, which develop from stem nodes and require different nutrients for growth than basal buds, which are entirely transported by the main stem. There are limited studies on aerial buds, and the miR156-SPL4 module has been reported to regulate aerial bud and basal bud development [9]. In addition, genes that regulate the formation of axillary bud meristematic tissue such as SHOOT MERISTEMLESS (STM) and WUSCHEL (WUS) also play a key role in aerial bud genesis [43, 44]. In this study, miR396 was found to affect the aerial bud development. As aerial buds developed to a later stage, inhibition of miR396 expression significantly promoted the growth of aerial buds. Meanwhile some genes regulate bud growth such as WUS, WOX4, MOC1, and SPL4 responded differently, especially the down-regulated expression of PvSPL4 in the MIM396 transgenic material is consistent with the previously reported results of negative regulation of aerial buds [9]. MiR396 has a highly conserved sequence in plant. Blocking the expression of miR396 has been shown to reduce tillering in Agrostis stolonifera [29].We found that the number of basal shoots was significantly increased in the MIM396 plants. These results suggest that the effect of miR396 on tillering is mainly related to the development of basal buds.

Biomass yield and feed stock quality are vital to energy plants. In switchgrass, cellulose, hemicellulose, pectin, and lignin are the main components that make up the cell wall. As lignin is a key factor affecting the utilization efficiency of forage, changing the lignin composition, or reducing the lignin content to improve switchgrass and enhance its digestibility and utilization has received more and more attention. Generally, increasing biomass yield while decreasing lignin content in switchgrass is important breeding goal. Pv4CL1, PvCOMT and PvF5H play important roles in lignin content [13, 45, 46], such as the down-regulation of PvF5H in transgenic switchgrass that inhibits PvCOMT further hinders the biosynthesis of S-lignin monomers, thus increasing the biosynthesis of monomer biosynthesis, thereby increasing G-lignin monomer biosynthesis. In this report, we found that the CWR of MIM396 transgenic plants was significantly higher than that of WT. And the enzymatic efficiency of both treated and untreated MIM396 was significantly lower than that of the wild type. However, interestingly, when we evaluated the final sugar yield, we found that the total sugar yield of MIM396 was significantly higher than that of the wild type in a single plant, which mainly due to the dramatical increase in dry matter yield. It also suggests that miR396 has a strong correlation between the regulation of biomass quality and yield.

MiR319b is also highly conserved across species and also plays a key role in regulating plant architecture. However, miR319 does not have the same function in regulating tillering in different species, for example, it inhibits tillering in rice but exhibits a promoting effect in wheat [39, 47]. In our previous study, we found that heterologous expression of Os-miR319b increased the leaf width and leaf thickness, promoted switchgrass stem elongation, and increased stem diameter, but reduced the number of tillers [38]. It has been reported that miR319-target TCPs activate the expression of miR396 in Arabidopsis [22]. However, in this study, we found miR396 upregulated and PvGRFs downregulated in Os-miR319b transgenic plants, which indicates the specific regulating mechanism between miR319-TCP and miR396-GRF in different varieties. We therefore created transgenic switchgrass (TG21-Ms) overexpressing both Os-miR319b and MIM396 and found that the expression pattern of GRF was also altered in the transgenic plants. Subsequently, our morphological analysis of TG21-Ms and TG21showed that MIM396 significant increased tiller number and dry biomass yield in TG21. Those results suggested that miR319-TCP module reduced switchgrass tiller number by increasing miR396-PvGRF module, at least partly. Interestingly, miR156-target gene PvSPL4 was down-regulated in both MIM396 transgenic plants and TG21-Ms lines. It has been reported that miR156-target PvSPL4 negatively regulates the development of aerial and basal tillers in switchgrass [9]. This predicts that the miR396-GRFs module may be epistatic for the miR156-SPLs module in regulating the tiller number and yield of switchgrass. In a word, we seemingly explored an interesting and valuable pathway about miR319-PvPCFs, miR396-PvGRFs, and miR156-PvSPLs in regulating switchgrass biomass yield and lignin content, which is much more worthy of in-depth studies to establish this relationship.

Conclusions

In this study, we created transgenic materials that suppressed miR396 expression to improving PvGRFs expression in switchgrass and analyzed their plant height, tiller, dry weight, and total sugar yield, and found that they were significantly increased compared with the wild type except for plant height, which may be due to repressing the miR156-target gene PvSPL4 expression. This is the first report that miR396 regulates both aerial and basal buds in monocotyledonous plants, which enriches the research on aerial buds in monocotyledonous leaves. In addition, suppression of miR396 expression in switchgrass overexpressing Os-miR319b could complement the phenotype of its reduced tillering. The results showed that inhibition of miR396 significantly increased the biological yield as well as the number of tillers in switchgrass, which provides a new method to improve the biomass yield of C4 energy plants and may also other grasses.

Materials and methods

Plant materials

Due to the complexity of the genetic background of switchgrass, to ensure the consistency and rigor of the experiments, the transgenic plants and wild type were obtained from one highly regeneratable callus line. In this study, we generated two highly regeneratable callus lines (A2 and A3) from two Alamo seeds. To generate callus, the juvenile spike of the Os-miR319b transgenic line TG21 was used. According to our earlier studies, those calluses lines were used as explants to produce MIM396 transgenic plants, respectively. The recombinant vector of overexpression MIM396 gene was reported in our previously reported method [48]. These transgenic plants were grown in a greenhouse with 16 h light/8 h dark at 25 °C.

PCR and qRT-PCR analysis

Plant leaf DNA was isolated and used as a template for PCR testing. Total RNA was extracted using Trizol regent. Then, one μg RNA after eliminating genomic DNA was used to reverse transcription into the first strand of cDNA using the random primer oligo (dT) or stem-loop RT primer (for miR396) (Takara, Dalian, China RR047A). The cDNA was used as template for qRT-PCR analysis using the kit (Beijing Qihengxing Biotechnology Co., LTD, FS-Q1002 kit). Data were collected with a qTOWER3G (analytik jena). The switchgrass ubiquitin gene (AP13CTG25905) or the nuclear small RNA U6 cDNA (Pavir.J34795.1) (for miR396) was used as internal control. The relative expression level were calculated using the 2−∆∆CT measurement method [34]. Three biological repeats were performed and used for statistical analysis. The primers used in this study were listed in Table S3. All primers avoided the miR396 shear site.

Plant growth conditions and phenotype analysis

Plants were cultured in a greenhouse and photoperiod was adjusted to 14 h/10 h (day/night) for four months. Each MIM396 line were propagated to four plants by tillers as biological replicates. After 6 months of growth, at least 20 R3 stage tillers (fully emerged spikelets and peduncle) of each plant (as technical replicates) were used to collect data of morphology indexes. Two-month-old TG21-Ms plants were divided into four groups according to the miR396 expression level. Each group contained three lines as biological duplicates for morphology indexes. The plant morphology indexes including tiller number, plant height, stem diameter, leaf length and width were measured and statistic analysis following the method of our previous report [38]. The aboveground biomass of each plant was harvested, dried at 65 ℃ for 3 days, then weighted separately. The number of basal buds of single tiller from 15 tillers were counted. The diameter of junction between tiller and root were measured. The typical photograph of aerial buds and basal buds were captured using Stereo Microscope (Nikon, C-DSS230).

Determination of AcBr lignin content and enzymatic hydrolysis efficiency

The switchgrass plant at R3 stage were harvested, dried and sieved through 1 mm sieve for extracting cell wall residues (CWR) as described by Chen and Dixon [49]. Measurement of AcBr lignin content, enzymatic hydrolysis assay, and the solubility sugar yield were performed using our previously reported methods [35]. In brief: for AcBr ligin content, CWR was weighed into a reaction bottle and were immersed in 5 mL acetyl bromide reagent (25%, v/v) and heated to 50 ℃. After 4h, we transferred the supernatant (about 4 mL) into a 50 mL volumetric flask, to which 10 mL of 2M NaOH, 12 mL of acetic acid and 1 mL of 0.5 M hydroxylamine were added followed by the addition of glacial acetic acid to bring the total volume to 50 mL. The absorbance was measured at 280 nm by a spectrophotometer. For enzymatic hydrolysis assay, CWR pretreated or unpretreated with 0.25 M NaOH and digested by exposing to 0.5 mL enzyme mixture and treated with the same amount enzyme by following mentioned our previous report. The percentage of released carbohydrate content after enzymatic hydrolysis to the total carbohydrate content as enzymatic hydrolysis efficiency. The soluble sugar yield of per plant was calculated using total carbohydrate content of each plant and enzymatic hydrolysis efficiency.

The solubility sugar yield of per plant = the per plant biomass (g) × CWR content × cell wall carbohydrate yield (g/g CWR) × enzymatic hydrolysis efficiency.

Histological analysis

The hand-cut section and dry matter of stem powder were stained with phloroglucinol/HCl to asses lignin content as our previous reported method [35].

Statistical analysis

In the experiment, data from biological repeats were analyzed by one-way ANOVA through the proc GLM for ANOVA of SAS 8.2 (SAS Institute, Cary, NC, USA). The comparison of treatments was separated by Duncan’s multiple range test (P < 0.05).

Availability of data and materials

All data generated or analyzed in the present study are included in this article and in additional information.

References

  1. Sanderson MA, Reed RL, McLaughlin SB, Wullschleger SD, Conger BV, Parrish DJ, et al. Switchgrass as a sustainable bioenergy crop. Biores Technol. 1996;56:83–93.

    Article  CAS  Google Scholar 

  2. Wright L, Turhollow A. Switchgrass selection as a “model” bioenergy crop: a history of the process. Biomass Bioenerg. 2010;34:851–68.

    Article  Google Scholar 

  3. Kerr SC, Patil SB, de Saint GA, Pillot J-P, Saffar J, Ligerot Y, et al. Integration of the SMXL/D53 strigolactone signalling repressors in the model of shoot branching regulation in Pisum sativum. Plant J. 2021;107:1756–70.

    Article  CAS  PubMed  Google Scholar 

  4. Smith SM, Li J. Signalling and responses to strigolactones and karrikins. Curr Opin Plant Biol. 2014;21:23–9.

    Article  CAS  PubMed  Google Scholar 

  5. Arite T, Umehara M, Ishikawa S, Hanada A, Maekawa M, Yamaguchi S, et al. d14, a strigolactone-insensitive mutant of rice, shows an accelerated outgrowth of tillers. Plant Cell Physiol. 2009;50:1416–24.

    Article  CAS  PubMed  Google Scholar 

  6. Doebley J, Stec A, Hubbard L. The evolution of apical dominance in maize. Nature. 1997;386:485–8.

    Article  CAS  PubMed  Google Scholar 

  7. Liao Z, Yu H, Duan J, Yuan K, Yu C, Meng X, et al. SLR1 inhibits MOC1 degradation to coordinate tiller number and plant height in rice. Nat Commun. 2019;10:2738.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kebrom TH, Spielmeyer W, Finnegan EJ. Grasses provide new insights into regulation of shoot branching. Trends Plant Sci. 2013;18:41–8.

    Article  CAS  PubMed  Google Scholar 

  9. Gou J, Fu C, Liu S, Tang C, Debnath S, Flanagan A, et al. The miR156-SPL4 module predominantly regulates aerial axillary bud formation and controls shoot architecture. New Phytol. 2017;216:829–40.

    Article  CAS  PubMed  Google Scholar 

  10. Fu C, Sunkar R, Zhou C, Shen H, Zhang J-Y, Matts J, et al. Overexpression of miR156 in switchgrass (Panicum virgatum L.) results in various morphological alterations and leads to improved biomass production. Plant Biotechnol J. 2012;10:443–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Liu Y, Wang K, Li D, Yan J, Zhang W. Enhanced cold tolerance and tillering in switchgrass (Panicum virgatum L.) by heterologous expression of Osa-miR393a. Plant Cell Physiol. 2017;58:2226–40.

    Article  CAS  PubMed  Google Scholar 

  12. Fu C, Xiao X, Xi Y, Ge Y, Chen F, Bouton J, et al. Downregulation of cinnamyl alcohol dehydrogenase (CAD) leads to improved saccharification efficiency in switchgrass. Bioenerg Res. 2011;4:153–64.

    Article  Google Scholar 

  13. Park J-J, Yoo CG, Flanagan A, Pu Y, Debnath S, Ge Y, et al. Defined tetra-allelic gene disruption of the 4-coumarate:coenzyme A ligase 1 (Pv4CL1) gene by CRISPR/Cas9 in switchgrass results in lignin reduction and improved sugar release. Biotechnol Biofuels. 2017;10:284.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Cesarino I. Structural features and regulation of lignin deposited upon biotic and abiotic stresses. Curr Opin Biotechnol. 2019;56:209–14.

    Article  CAS  PubMed  Google Scholar 

  15. Krek A, Grün D, Poy MN, Wolf R, Rosenberg L, Epstein EJ, et al. Combinatorial microRNA target predictions. Nat Genet. 2005;37:495–500.

    Article  CAS  PubMed  Google Scholar 

  16. Sang Q, Fan L, Liu T, Qiu Y, Du J, Mo B, et al. MicroRNA156 conditions auxin sensitivity to enable growth plasticity in response to environmental changes in Arabidopsis. Nat Commun. 2023;14:1449.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Zhang H, Jia S, Zhang M, Wang K, Teng F, Liu Y, et al. Deciphering the regulatory network of miR156 in plant architecture and abiotic stress resistance of alfalfa (Medicago sativa) by transcriptome sequencing. Ind Crops Prod. 2022;189:115828.

    Article  CAS  Google Scholar 

  18. Dai Z, Wang J, Yang X, Lu H, Miao X, Shi Z. Modulation of plant architecture by the miR156f-OsSPL7-OsGH3.8 pathway in rice. J Exp Bot. 2018;69:5117–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Bresso EG, Chorostecki U, Rodriguez RE, Palatnik JF, Schommer C. Spatial control of gene expression by miR319-regulated TCP transcription factors in leaf development. Plant Physiol. 2018;176:1694–708.

    Article  CAS  PubMed  Google Scholar 

  20. Zhang M, Qin S, Yan J, Li L, Xu M, Liu Y, et al. Genome-wide identification and analysis of TCP family genes in Medicago sativa reveal their critical roles in Na/K homeostasis. BMC Plant Biol. 2023;23:301.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Zhang Y-C, Yu Y, Wang C-Y, Li Z-Y, Liu Q, Xu J, et al. Overexpression of microRNA OsmiR397 improves rice yield by increasing grain size and promoting panicle branching. Nat Biotechnol. 2013;31:848–52.

    Article  CAS  PubMed  Google Scholar 

  22. Omidbakhshfard MA, Proost S, Fujikura U, Mueller-Roeber B. Growth-regulating factors (GRFs): a small transcription factor family with important functions in plant biology. Mol Plant. 2015;8:998–1010.

    Article  CAS  PubMed  Google Scholar 

  23. Beltramino M, Debernardi JM, Ferela A, Palatnik JF. ARF2 represses expression of plant GRF transcription factors in a complementary mechanism to microRNA miR396. Plant Physiol. 2021;185:1798–812.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Rodriguez RE, Mecchia MA, Debernardi JM, Schommer C, Weigel D, Palatnik JF. Control of cell proliferation in Arabidopsis thaliana by microRNA miR396. Development. 2010;137:103–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Wang L, Gu X, Xu D, Wang W, Wang H, Zeng M, et al. miR396-targeted AtGRF transcription factors are required for coordination of cell division and differentiation during leaf development in Arabidopsis. J Exp Bot. 2011;62:761–73.

    Article  CAS  PubMed  Google Scholar 

  26. Kim JH, Choi D, Kende H. The AtGRF family of putative transcription factors is involved in leaf and cotyledon growth in Arabidopsis. Plant J. 2003;36:94–104.

    Article  CAS  PubMed  Google Scholar 

  27. Debernardi JM, Rodriguez RE, Mecchia MA, Palatnik JF. Functional specialization of the plant miR396 regulatory network through distinct microRNA-target interactions. PLoS Genet. 2012;8: e1002419.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Chen L, Luan Y, Zhai J. Sp-miR396a-5p acts as a stress-responsive genes regulator by conferring tolerance to abiotic stresses and susceptibility to Phytophthora nicotianae infection in transgenic tobacco. Plant Cell Rep. 2015;34:2013–25.

    Article  CAS  PubMed  Google Scholar 

  29. Yuan S, Zhao J, Li Z, Hu Q, Yuan N, Zhou M, et al. MicroRNA396-mediated alteration in plant development and salinity stress response in creeping bentgrass. Hortic Res. 2019;6:48.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Wang M, Li A-M, Liao F, Qin C-X, Chen Z-L, Zhou L, et al. Control of sucrose accumulation in sugarcane (Saccharum spp. hybrids) involves miRNA-mediated regulation of genes and transcription factors associated with sugar metabolism. GCB Bioenergy. 2022;14:173–91.

    Article  Google Scholar 

  31. Mecchia MA, Debernardi JM, Rodriguez RE, Schommer C, Palatnik JF. MicroRNA miR396 and RDR6 synergistically regulate leaf development. Mech Dev. 2013;130:2–13.

    Article  CAS  PubMed  Google Scholar 

  32. Rodriguez RE, Ercoli MF, Debernardi JM, Breakfield NW, Palatnik JF. MicroRNA miR396 regulates the switch between stem cells and transit-amplifying cells in Arabidopsis roots. Plant Cell. 2015;27:3354–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Tang Y, Liu H, Guo S, Wang B, Li Z, Chong K, et al. OsmiR396d affects gibberellin and brassinosteroid signaling to regulate plant architecture in rice. Plant Physiol. 2018;176:946–59.

    Article  CAS  PubMed  Google Scholar 

  34. Liu Y, Li D, Yan J, Wang K, Luo H, Zhang W. MiR319 mediated salt tolerance by ethylene. Plant Biotechnol J. 2019;17:2370–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Liu Y, Yan J, Wang K, Li D, Yang R, Luo H, et al. MiR396-GRF module associates with switchgrass biomass yield and feedstock quality. Plant Biotechnol J. 2021;19:1523–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Lee S-J, Lee BH, Jung J-H, Park SK, Song JT, Kim JH. Growth-regulating factor and GRF-interacting factor specify meristematic cells of gynoecia and anthers. Plant Physiol. 2018;176:717–29.

    Article  CAS  PubMed  Google Scholar 

  37. Hewezi T, Maier TR, Nettleton D, Baum TJ. The Arabidopsis microRNA396-GRF1/GRF3 regulatory module acts as a developmental regulator in the reprogramming of root cells during cyst nematode infection. Plant Physiol. 2012;159:321–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Liu Y, Yan J, Wang K, Li D, Han Y, Zhang W. Heteroexpression of Osa-miR319b improved switchgrass biomass yield and feedstock quality by repression of PvPCF5. Biotechnol Biofuels. 2020;13:56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Wang R, Yang X, Guo S, Wang Z, Zhang Z, Fang Z. MiR319-targeted OsTCP21 and OsGAmyb regulate tillering and grain yield in rice. J Integr Plant Biol. 2021;63:1260–72.

    Article  CAS  PubMed  Google Scholar 

  40. Mu S, Yamaji N, Sasaki A, Luo L, Du B, Che J, et al. A transporter for delivering zinc to the developing tiller bud and panicle in rice. Plant J. 2021;105:786–99.

    Article  CAS  PubMed  Google Scholar 

  41. Wang J, Lu K, Nie H, Zeng Q, Wu B, Qian J, et al. Rice nitrate transporter OsNPF7.2 positively regulates tiller number and grain yield. Rice. 2018;11:12.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Liu R, Finlayson SA. Sorghum tiller bud growth is repressed by contact with the overlying leaf. Plant Cell Environ. 2019;42:2120–32.

    Article  CAS  PubMed  Google Scholar 

  43. Wang J, Tian C, Zhang C, Shi B, Cao X, Zhang T-Q, et al. Cytokinin signaling activates WUSCHEL expression during axillary meristem initiation. Plant Cell. 2017;29:1373–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Shi B, Zhang C, Tian C, Wang J, Wang Q, Xu T, et al. Two-step regulation of a meristematic cell population acting in shoot branching in Arabidopsis. PLoS Genet. 2016;12: e1006168.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Wu Z, Wang N, Hisano H, Cao Y, Wu F, Liu W, et al. Simultaneous regulation of F5H in COMT-RNAi transgenic switchgrass alters effects of COMT suppression on syringyl lignin biosynthesis. Plant Biotechnol J. 2019;17:836–45.

    Article  CAS  PubMed  Google Scholar 

  46. Li M, Pu Y, Yoo CG, Gjersing E, Decker SR, Doeppke C, et al. Study of traits and recalcitrance reduction of field-grown COMT down-regulated switchgrass. Biotechnol Biofuels. 2017;10:12.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Jian C, Hao P, Hao C, Liu S, Mao H, Song Q, et al. The miR319/TaGAMYB3 module regulates plant architecture and improves grain yield in common wheat (Triticum aestivum). New Phytol. 2022;235:1515–30.

    Article  CAS  PubMed  Google Scholar 

  48. Yan J, Qiu R, Wang K, Liu Y, Zhang W. Enhancing alfalfa resistance to Spodoptera herbivory by sequestering microRNA396 expression. Plant Cell Rep. 2023;42:805–19.

    Article  CAS  PubMed  Google Scholar 

  49. Chen F, Dixon RA. Lignin modification improves fermentable sugar yields for biofuel production. Nat Biotechnol. 2007;25:759–61.

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

This work was supported by National Center of Pratacultural Technology Innovation (under preparation) (CCPTZX2023B01).

Author information

Authors and Affiliations

Authors

Contributions

YL (Yanrong Liu) and WZ conceived and designed the experiments; YL (Yanrong Liu), JY and LL performed the experiments; YL (Yanrong Liu), DL, LY (Yaling Liu) and MX analyzed the data; MX, YL (Yanrong Liu) and WZ wrote and revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yanrong Liu.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

All authors consent for publication.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, M., Li, L., Yan, J. et al. Blocking miR396 activity by overexpression MIM396 improved switchgrass tiller number and biomass yield. Biotechnol Biofuels 17, 69 (2024). https://doi.org/10.1186/s13068-024-02514-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13068-024-02514-4

Keywords