MicroRNA Profiling During Mulberry (Morus atropurpurea Roxb) Fruit Development and Regulatory Pathway of miR477 for Anthocyanin Accumulation

Abstract

To understand the mechanism of small non-coding RNAs (miRNA)-mediated development and ripening of mulberry fruits, three small RNA libraries from mulberry fruits at different development stages were constructed, and 159 conserved miRNAs as well as 86 novel miRNAs were successfully identified. Among the miRNAs identified, there were 90 miRNAs which showed differential expression patterns at different stages of fruit development and ripening. The target genes of these differential expressed (DE) miRNAs were involved in growth and development, transcription and regulation of transcription, metabolic processes, and etc. Interestingly, it was found that the expression level of mul-miR477 was increased with fruit ripening, and it can target the antisense lncRNA (Mul-ABCB19AS) of the ATP binding cassette (ABC) transporter B 19 gene (Mul-ABCB19). Our results showed that mul-miR477 can repress the expression of Mul-ABCB19AS and increase the expression of Mul-ABCB19, and it acted as a positive regulator participating anthocyanin accumulation through the regulatory network of mul-miR477—Mul-ABCB19AS—Mul-ABCB19.

Introduction

miRNAs are small non-coding RNAs, approximately 18–24 nucleotides in length, which modulate gene expression by cleaving or inhibiting the translation of their target genes (Yu et al., 2017). The research on the function and mechanism of miRNA has made great progress, and it has been demonstrated that miRNAs are involved in various biological processes of plants such as development, hormone response and signaling, stress responses and so on (Rogers and Chen, 2013; Ge et al., 2017; Betti et al., 2020). There are many evidences showed that miRNAs play significant roles in regulating fruit development and ripening (Zeng et al., 2015; Guo et al., 2018; Deepika et al., 2020). In the tomato fruit, it was showed that miR156 control the expression of the auxin response factor, COLORLESS NON-RIPENING encoding a SQUAMOSA promoter-binding protein (SBP), and affect tomato ripening (Moxon et al., 2008). It was also found that miR156b could target the SBP genes and affect the expression of genes associated with meristem maintenance. Moreover, overexpression of the miR156b precursor of Arabidopsis in tomato resulted in abnormal fruit morphology (Ferreirae Silva et al., 2014). In addition, it was showed that miR164 and miR169 can inhibit the expression of NAC and NF-YA transcription factors and participated in fruit ripening, respectively (Li et al., 2017), and miR172 regulates fruit ripening through targeting the APETALA2a (AP2a) gene which negatively regulates ethylene biosynthesis and signaling (Karlova et al., 2011). Apart from these conserved miRNAs, some non-conserved miRNAs, such as miR1917, miR4376, miR858, etc., were also found to be associated with tomato fruit ripening (Christopher et al., 2020). With the development of sRNA sequencing technology, many miRNAs associated with fruit development have been identified in different plant species, such as strawberry (Fragaria ananassa) (Xu et al., 2013), sweet orange (Citrus sinensis) (Liu et al., 2014), peach (Pyrus bretschneideri) (Wu et al., 2014), banana (Musa acuminata) (Bi et al., 2015), apple (Malus × domestica) (Qu et al., 2016), etc. Despite the fact that many miRNAs involved in fruit development and ripening have been identified, only a few miRNA targets have been experimentally proved for their biological functions and the roles of most miRNAs in fruit ripening still remain were unclear (Wang W.Q. et al., 2020). Although many miRNAs are highly conserved among different plant species, their functions may be species-specific (Lenz et al., 2011). In addition, each plant also has its own species-specific miRNAs, which may have different expression characteristics and functions in the same physiological process (Jeong et al., 2013). Therefore, identification of conserved and species-specific miRNAs is of great significance for understand the molecular regulation mechanism of fruit development and ripening.

Mulberry trees are planted all over the world, including Europe, Africa, Asia, and America, and they have been used to feed silkworms for more than 5,000 years (Jia et al., 2014). Mulberry is not only the sole feed of the silkworm, but also is an important fruit tree with important economic and nutritional values. Mulberry fruits have long been used as edible fruits and traditional medicines not only for their special moderate sweet and sour taste, but also for they are rich in nutritive and bioactive compounds, such as vitamins, amino acids, fatty acids, resveratrol, rutin, quercetin, polysaccharides, and especially anthocyanin pigments (When et al., 2019). The mulberry fruit development is a complex biological process, which can be divided into three sequential phases: expansion, veraison, and maturation accompanied by obvious physiological changes. The color of the fruits changes from green to red and finally to purple, and the content of flavor volatiles increased, but the firmness decreased gradually (Lee and Hwang, 2017). Different from other fleshy fruits developed from the ovary of flowers, mulberry fruits are developed from the thickened perianth and ovary wall of female flower. Though it was suggested that mulberry fruits are probably climacteric, its respiratory type has not been determined (Leng et al., 2014). Therefore, the development mechanism of mulberry fruit may be different from other fruits. Unfortunately, there is little research that has been conducted to reveal the miRNA-mediated mechanisms of mulberry fruit development and ripening.

In this study, the small RNA libraries of mulberry fruits at different development stages were constructed and sequenced to investigate the miRNA expression profiles during mulberry fruit development and identify the specific miRNAs for mulberry fruit. A combination of bioinformatics analysis and experimental verification was used to prove the roles of miRNAs in the regulation of fruit development. The findings will facilitate to understand the regulatory network of miRNA underlying fruit ripening.

Materials and Methods

Plant Materials

Mulberry fruits represent different development stages, including MG, green fruits, 15 days after bloom (DAB) in fruit expanding stage; MR, red fruits, 30 DAB in fruit color changing stage; MP, purple fruits, 45 DAB in fruit mature stage, were collected from ‘Dashi’ (Morus atropurpurea Roxb) trees and frozen and stored in liquid nitrogen. Seedlings of Arabidopsis thaliana (Col-0) were grown in a growth chamber maintained on a 16 h: 8 h light: dark cycle at 22°C with the relative humidity of 50–60%.

sRNA Library Construction, Sequencing and miRNAs Identification

Total RNAs were isolated from mulberry fruit samples using TRIzol reagents and then were separated on 15% denaturing polyacrylamide gel. After that the RNA bands (18–30 nt) were selected and purified, and the purified small RNAs were ligated with 5′- and 3′-RNA adapters and further selected by size-fractionation and amplified by PCR to produce sRNA libraries for high-throughput sequencing using an Illumina HiSeq 2000 platform by Beijing Genomics Institute (BGI) (Shenzhen, China). Three biological replicate experiments for different development stage mulberry fruits, respectively.

After sequencing, the raw sequencing tags were filtered to remove the low quality tags and reads smaller than 15 nt as well as the cellular structural RNAs. The clean reads obtained were subjected to BLASTn searches against the miRBase database (v21.0) to determine conserved miRNA. All the other unmapped reads were blasted against our local mulberry transcriptome database using BLASTX, and the sequences containing hairpin secondary RNA structures were used to predict novel miRNA candidates by MIREAP software, and when the MFEI (minimum folding free energy index) of the RNA was more than 0.85, the RNA was accepted as a precursor of miRNA.

Analysis of the Differential Expression Profile of miRNAs

The frequency of each miRNA in the libraries was normalized and the fold-change between samples was calculated as described by previously (Gai et al., 2018). P-value < 0.05 and |log2 (fold change)| ≥ 1 was regarded as a threshold for defining significantly differential expression.

Prediction and Analysis of Target Gene Ontology and KEGG Pathways

The candidate target genes of DE miRNAs were predicted based on the mulberry fruit transcriptome dataset using the psRNATarget web server¹. KEGG pathways analysis and Gene ontology annotation of the DE miRNA target gene candidates were performed using Blast2GO program.

Target Validation of mul-miR477 Using 5′-RNA-Ligase-Mediated Rapid Amplification of cDNA Ends (5′-RLM-RACE)

Total RNAs extracted from mulberry fruits prepared as above was ligated to the RNA oligo adapter (5′-CGACUGGAGCACGAGG ACACUGACAUGGACUGAAGGAGUAGAAA-3′) and then was reverse transcribed to prepare cDNA template using the GeneRacer Kit (Invitrogen, United States) following the manufacturer’s instructions. The cDNA obtained was used for PCR-amplification with GeneRacer 5′ primer (5′-CGACT GGAGCACGAGGACACTGA-3′) and the specific outer primer (5′-GAAGAGGAGCATAACTCAAGCC-3′). The PCR product obtained was used for nested PCR amplification with GeneRacer 5′ nested primer (5′-GGACACTGACATGGACTG AAGGAGTA-3′) and the specific inner primer (5′-GATGTA AAATCCGCCATTGCTG-3′). The final PCR product was purified and cloned into the pMD18-T vector (Invitrogen, United States) for sequencing.

Quantitative Real-Time PCR Analysis

Total RNAs of each sample were isolated using TRIzol^® reagent (Invitrogen) and then treated with DNase I. Quantitative real-time PCR (qRT-PCR) analyses for the selected mRNAs and miRNAs were performed using the SYBR^®Premix Ex Taq^TM kit (TaKaRa) and PrimeScript^TM miRNA qPCR starter kit ver. 2.0 (TaKaRa), respectively, following the manufacturer’s protocol on a Rotor-Gene 3000A system (Applied Biosystems, United States). The ACTIN and U6 genes were amplified as internal references for mRNA and miRNA analysis, respectively. The relative expression levels of mRNAs or miRNAs were calculated according to the 2^–ΔΔCT method (Livak and Schmittgen, 2001). All PCR reactions were performed three times for each sample. All measurements were performed by three biological replicates and three technical replicates. The primers used for qRT-PCR are given in the Supplementary Tables 3, 4.

Production of Transgenic Plant Lines and Hybrid Seedlings

Genomic DNA of ‘Dashi’ mulberry was isolated by CTAB (cetyltrimethyl-ammonium bromide) protocol (Zhang et al., 2013), and the mul-miR477-producing DNA region was cloned with the primers (Forward primer: 5′-GTTTCAAGGCAT TGGTTACTG-3′; Reverse primer: 5′-GTCTCCGGTATTGCC TGAAG-3′). The cDNA was synthesized with the total RNAs isolated above, and the Mul-ABCB19 and Mul-ABCB19AS genes were cloned with the primers (For Mul-ABCB19: Forward primer: 5′-CAATGGCGGAGAGCGCAGAG-3′, Reverse primer: 5′-TTATCTCAAATGTGATGGTGTT-3′; For Mul-ABCB19AS: Forward primer: 5′-TTGGGCATTGAAGGCAGCAACT-3′, Reverse primer: 5′-AATGGCATTTTGAACAGCAACTC-3′). The genes cloned were subcloned into the binary vector pBI121 individually, and then Agrobacterium tumefaciens strain GV3101 was transformed with the constructed vectors and introduced into wild type Arabidopsis using floral-dip method. Transformants were screened and verified by PCR technology, and the homozygotes of T2-generations of independent transgenic lines were randomly chosen for subsequent experiments. For hybridization of Arabidopsis thaliana, anthers were collected from the male parent and smeared on the stigma of female parent with stamens removed. After pollination, the plant was covered for 24 h to maintain high air humidity. When the seeds are mature, they are harvested and screened on the medium and then identified by PCR.

Production of Mulberry Plants With Transgenic Hairy Roots

The Mul-MIR477 genes were cloned into the binary vector pROK2 (driven by the CaMV35S promoter) to produce vector 35S:Mul-MIR477, and then the vector 35S:Mul-MIR477 was introduced into A. rhizogenes K599 strains, which were responsible for the development of hairy roots of susceptible mulberry seedlings. Two-week-old Guisang You 62 mulberry seedlings with the first two fully expanded true leaves were used for agro-infiltration as described by previously (Meng et al., 2019). The seedlings injected with A. rhizogenes strains harboring empty vectors pROK2 were used as control group (CK). All the seedlings were cultured in a growth chamber maintained on a 16 h: 8 h light: dark cycle at 25°C with the relative humidity of 50–60%. After about 4 weeks, the well-developed hairy roots were detected by PCR and the original roots were cut off.

Determination of Anthocyanin

Samples were extracted overnight with the methanol solution consisting of 0.1% (v/v) HCl at room temperature. Then the solution was centrifuged at 15,000 g for 2 min and passed through a 0.2-μm filter. The supernatant was collected and the anthocyanin content was determined according to the pH differential method (Ge et al., 2018). Absorbance was measured at 510 and 700 nm and anthocyanin content (mg⋅g^–1 FW) was calculated as [(A₅₄₃ – A₇₀₀) _{pH 1.0} – (A₅₄₃ – A₇₀₀) _{pH 4.5} × 465 × 10]/(29000 × 1). Data are reported as means for at least three replications.

Results

Sequence Analysis of miRNA Libraries of Mulberry Fruits

Three miRNA libraries (MG, MR, and MP) were constructed using the samples from three different development stages to explore the expression profiles of miRNAs during mulberry fruit development and ripening, and 159 conserved miRNA members belonging to 68 families were identified. Among the 68 miRNA families, miR156 family containing 11 members is the largest, followed by miR159 family with 8 members, and the miR167, miR171 and miR319 families all containing seven members belonged to the third largest family (Figure 1A). It was found that the conserved miRNAs identified in length ranges from 18 to 25 nt, and the 21-nt miRNAs take the majority (46.51%), followed by the 22-nt (19.77%), 24-nt (11.63%), 20-nt (6.98%), 23-nt (5.43%), 18-nt (4.26%), 19-nt (3.49%), and 25-nt (1.94%) miRNAs (Figure 1B). To predict the novel miRNAs in mulberry fruits, all non-annotated sRNAs were mapped to our local mulberry transcriptome database, and 86 candidate novel miRNAs (designated mul-miRn01–mul-miRn86), which may be specific to mulberry were identified (Supplementary Table 1). Among the novel miRNAs, 25 were identified with complementary miRNA^∗s. It was found that the novel miRNAs identified usually showed a very weak expression levels compared with the conserved miRNAs. Of the 86 novel miRNA candidates, only 9 miRNAs have been sequenced more than 500 times. Among all the miRNAs identified, 197 miRNAs were detected in all the libraries, whereas 13, 5, and 7 miRNAs were detected only in MG, MR, and MP library, respectively, suggesting that they might have specific roles in regulation of fruit ripening (Figure 1C).

FIGURE 1

miRNA Expression Profiles During Mulberry Fruit Development and Ripening

To explore the miRNA expression profiles during mulberry fruit development and ripening, the counts of reads generated by high-throughput sequencing were used to analyze the differential expression of miRNAs. A total of 90 miRNAs were found to be differentially expressed (DE) by comparing the expression levels of miRNAs between every two libraries of MG, MR, and MP (Table 1). Compared with the fruits at MG, there were 23 miRNAs up-regulated and 20 down-regulated in the fruits at MR, and 36 miRNAs up-regulated and 37 down-regulated in the fruits at MP. While compared with the fruits at MR, there were 9 miRNAs up-regulated and 21 down-regulated in the fruits at MP (Figure 2A). The Venn diagram showed that the miRNAs identified in the fruits at different stages were highly overlapped. In the three pairwise comparisons, only 40 DE miRNAs were specific to one of them, including 10 DE miRNAs between MR and MG, 26 DE miRNAs between MP and MG, and 4 DE miRNAs between MR and MP (Figure 2B). In order to explore the associations between these DE miRNAs, hierarchical clustering analysis was performed on them according to their expression patterns. DE miRNAs with the same or similar expression profiles were clustered together (Figure 2C). The results showed that these DE miRNAs were divided into two categories: the ones with higher expression in MG and MR, and the ones highly expressed in MP. At the same time, it was also observed that some members of the same miRNA family showed different expression profiles. For example, mul-miR156e was expressed at the highest level in the MG, while mul-miR156a was expressed at the highest level in the MP. These results suggested that even members of the same miRNA family might have diverse functions during development and ripening. To validate differential expression pattern of the identified miRNAs, six miRNAs including the up-regulated and down-regulated miRNAs during fruit development and ripening were randomly selected for analysis by qRT-PCR. As shown in Figure 3, all the qRT-PCR results were quite consistent with the results of high-throughput sequencing, which confirmed that the miRNA profiles detected by high-throughput sequencing are reliable.

FIGURE 2

FIGURE 3

Prediction and Analysis of the Target Genes of DE miRNAs

To elucidate the roles of miRNAs in mulberry fruit ripening, the target genes of the DE miRNAs were predicted, and then Gene Ontology (GO) and KEGG analysis of the target genes was performed. A total of 119 potential target genes of 36 conserved DE miRNAs and 68 potential target genes of 34 novel DE miRNAs were identified. The ontologies and KEGG functional annotations of the predicted target genes were given in Supplementary Table 2, and the target genes were categorized into 11 classes based on their ontologies and KEGG functional annotations (Figure 4). The first category target genes of the DE miRNAs were involved in growth and development processes. Meanwhile, a large proportion of the target genes predicted were associated with transcription and regulation of transcription, and metabolic process. The other categories included environmental stimulation and stress responsive, hormone metabolism and signal transduction, secondary metabolism, and so on. It is worth noting that many miRNAs such as mul-miR156e, mul-miR319a, and mul-miR396a had multiple putative target genes. At the same time, there were some genes targeted by multiple miRNAs. These results indicated that the DE miRNAs during mulberry fruit ripening may be associated with a variety of biologic processes, and their regulatory networks involved in the ripening process were intricate.

FIGURE 4

To validate the predicted target genes of DE miRNAs, the expression profiles of some target genes during fruit ripening were also investigated (Figure 5). The qRT-PCR results showed that the expression trends of mul-miR156e, mul-miR319a, mul-miR477-5p, mul-miR482C-3p, and mul-miRn73 were opposite to those of their target genes, suggesting that these miRNAs may guide the cleavage of those target genes and repress their expressions. However, the mul-miRn30 and its target gene, the probable LRR receptor-like serine/threonine-protein kinase gene, showed the same expression patterns, suggesting that it may not be cleaved by mul-miRn30 or its expression is determined by translational repression and/or by multiple miRNAs.

FIGURE 5

Silencing of the Antisense lncRNA of ABC Transporter B Family Member 19 by mul-miR477

Target prediction of the DE miRNAs indicated that mul-miR477 could target the antisense long non-coding RNA (designed as Mul-ABCB19AS) of the ATP binding cassette (ABC) transporter B 19 gene (designed as Mul-ABCB19). Furthermore, 5′-RLM-RACE was used to verify the mul-miR477-guided cleavage of Mul-ABCB19AS, and the result showed that Mul-ABCB19AS was cleaved by mul-miR477 at the 11th positions (Figure 6A). The ABCB19 protein, also known as multidrug resistance protein (MDR1) and P-glycoprotein 19 (PGP19), has been reported to be involved in auxin transport in Arabidopsis (Okamoto et al., 2016). In addition, the manipulation of expression of ABCB19 was reported to affect the expression of the chalcone synthase (CHS) gene, which is a light-responsive gene and required for normal accumulation of anthocyanin in Arabidopsis (Lin and Wang, 2005). The sequence alignment showed that the amino acid sequences of Mul-ABCB19 shared 90.42% identity with AtMDR1 (Supplementary Figure 1), indicating that Mul-ABCB19 might be an ortholog of AtABCB19 and could be involved in the auxin transport and anthocyanin accumulation. To explore whether mul-miR477 can target Mul-ABCB19AS, the Mul-ABCB19AS, and Mul-MIR477 genes were cloned and transformed into wild type Arabidopsis, independently. The results of PCR of genomic revealed that the Mul-ABCB19AS and Mul-MIR477 genes were integrated into the genome of Arabidopsis, respectively (Supplementary Figures 2A,B). In addition, qRT-PCR results showed that Mul-ABCB19AS transcript and mature mul-miR477 were successfully expressed in the transgenic Arabidopsis plants (Figures 6B,C). Then the hybrid plants (designed as Mul-ABCB19AS × Mul-MIR477) between Mul-ABCB19AS and Mul-MIR477 transgenic Arabidopsis were generated, and the PCR of genomic revealed that the Mul-ABCB19AS and Mul-MIR477 genes were integrated into the genome of the hybrid plants (Supplementary Figures 2C,D), and qRT-PCR analysis results showed that the difference of the expression level of mul-miR477 between the Mul-MIR477 transgenic and the hybrid plants was not statistically significant (Figure 6D). However, it was observed that the level of Mul-ABCB19AS in the Mul-ABCB19AS × Mul-MIR477 plants was significantly lower than that in the plant overexpressing Mul-ABCB19AS (Figure 6E). These results indicated that mul-miR477 can target and cleave Mul-ABCB19AS transcript in the Mul-ABCB19AS × Mul-MIR477 plants.

FIGURE 6

Mul-ABCB19AS Suppresses the Expression of Mul-ABCB19 to Modulate Anthocyanin Accumulation

To analyze whether Mul-ABCB19AS can inhibit the expression of Mul-ABCB19 gene, the transgenic Mul-ABCB19AS plants were hybridized with the transgenic Mul-ABCB19 plants to produce the hybrid plants (designed as AS × 19). Genomic PCR results showed that the Mul-ABCB19AS and Mul-ABCB19 were inserted into the genomes of Arabidopsis hybrid plants, respectively (Figures 7A,B). In addition, qRT-PCR analysis showed that the expression level of Mul-ABCB19AS between the transgenic Mul-ABCB19AS and hybrid plants was not significantly differential (Figure 7C), whereas the level of Mul-ABCB19 in the AS × 19 plants was significantly lower than that in the Mul-ABCB19 transgenic plants (Figure 7D). These results indicated that Mul-ABCB19AS can suppress the expression of Mul-ABCB19 in the hybrid plants.

FIGURE 7

Phenotypic analysis of transgenic Mul-ABCB19, AS × 19, and wild type Arabidopsis plants showed that there was obvious anthocyanin accumulation at the cotyledon–hypocotyl junction of 1-week-old transgenic Mul-ABCB19 plants and at the base of the petioles of rosette leaves and the junction of petiole and stem of 4-week-old transgenic Mul-ABCB19 plants, but there was no obvious anthocyanin accumulation in the same tissues of the wild type and AS × 19 seedlings (Figures 8A–C). Moreover, the anthocyanin accumulation levels of the transgenic Mul-ABCB19 plants were significantly higher than those of AS × 19 hybrid and wild type plants (Figures 8D,E). These results indicated that overexpressing Mul-ABCB19 confers the transgenic plants more anthocyanin accumulation, and Mul-ABCB19AS might modulate anthocyanin accumulation by suppressing the expression of Mul-ABCB19 in the plants. These results indicated that mul-miR477 acts as a positive regulator in anthocyanin accumulation through the regulatory network of mul-miR477—Mul-ABCB19AS—Mul-ABCB19.

FIGURE 8

Overexpression of Mul-MIR477 Gene Enhances Anthocyanin Accumulation in Mulberry Hairy Roots

To confirm the regulatory network of mul-miR477—Mul-ABCB19AS—Mul-ABCB19 in mulberry, the correlation between the expression levels of mul-miR477, Mul-ABCB19AS, and Mul-ABCB19, as well as the anthocyanin content in mulberry fruits at MG, MR, and MP stages were detected. The results showed that the expression level of mul-miR477 was increased with mulberry fruit ripening, whereas the expression level of Mul-ABCB19AS was decreased in the process. This suggested that there was a very good negative correlation between their expression levels. However, the expression level of Mul-ABCB19 and the anthocyanin content were increased with mulberry fruit ripening (Figures 9A,B). Therefore, the express profile of mul-miR477, Mul-ABCB19AS, and Mul-ABCB19 during mulberry fruit ripening and their correlation with anthocyanin accumulation confirmed that the regulatory network of mul-miR477—Mul-ABCB19AS—Mul-ABCB19 in anthocyanin accumulation.

FIGURE 9

At present, the efficient genetic transformation and regeneration system of mulberry has not been established, to verify the results obtained above, the transgenic Mul-MIR477 mulberry hairy roots were generated. qRT-PCR showed that the mature mul-miR477 was highly expressed in the transgenic Mul-MIR477 hairy roots. In addition, it was observed that the expression level of Mul-ABCB19AS in the transgenic Mul-MIR477 hairy roots was significantly lower than that in the transgenic empty vectors pROK2 hairy roots, while the expression level of Mul-ABCB19 was significantly higher than that in the transgenic empty vectors pROK2 hairy roots (Figure 9C). These results confirmed that mul-miR477 can target and cleave the transcript of Mul-ABCB19AS which can repress the expression of Mul-ABCB19. Phenotypically, the colors of transgenic Mul-MIR477 hairy roots were light red, while those of transgenic empty vectors pROK2 hairy roots were yellow (Figure 9D). As expected, the anthocyanin content of transgenic Mul-MIR477 hairy roots was significantly higher than that of transgenic empty vector hairy roots (Figure 9E). These results were consistent with those obtained in Arabidopsis thaliana. Therefore, mul-miR477 participates in anthocyanin accumulation as a positive regulator through the regulatory network of mul-miR477—Mul-ABCB19AS—Mul-ABCB19.

Discussion

Mulberry fruit is fleshy berry fruits widely recognized for their flavor, nutritive and bioactive compounds (Lee and Hwang, 2017), and its ripening is regulated by various endogenous and exogenous factors (Mahmood et al., 2017). It is well documented that miRNAs are key regulators in fruit development and ripening (Zeng et al., 2015). However, the regulatory roles of miRNAs in mulberry fruit development and ripening has not been characterized yet. In this study, the miRNAs involved in mulberry fruit ripening were identified by small RNA sequencing, and a total of 159 conserved miRNAs belonging to 68 families and 86 novel miRNAs were identified. Among of these miRNAs identified, there were 90 miRNAs differentially expressed at different fruit development stages (Table 1). These results suggested that miRNAs mediate the complex regulatory network of mulberry fruit development and ripening.

It has been reported that plant hormones are the key regulators of fruit development and ripening (Fenn and Giovannoni, 2021), and auxin plays an important role in regulating the expansion of fruit cells and triggering the onset of ripening in various fruits (Yue et al., 2020). In this study, the mul-miRn73 was predicted to target the auxin regulator auxin response factor 1, which was proposed to be served as a transcription factor of auxin-responsive genes (Wang W.Q. et al., 2020; Wang Y.F. et al., 2020). Our data showed that the expression of mul-miRn73 was up-regulated during fruit development (Table 1), indicating that the signaling pathway of auxin might be inhibited during mulberry fruit ripening. Ethylene is another important phytohormone, which plays vital roles during fruit ripening (Liu et al., 2015; Li et al., 2019). Ethylene insensitive 3(EIN3)-binding F-box 1 can repress the effect of ethylene by directing the degradation of EIN3 which is a key positive regulator of ethylene signal transduction (Qiu et al., 2015). In this study, EIN3-binding F-box 1 was predicted to be the target gene of mul-miR828b-3p which accumulation was up-regulated with fruit ripening. In addition, one of the negative regulators of ethylene mediated signaling pathway, ethylene response sensor 1 was predicted as the target of mul-miRn86 which accumulation was also up-regulated with fruit ripening. These results suggested that the ethylene signal transduction pathway might be promoted during mulberry fruit ripening. Since auxin delays the fruit ripening and ethylene promotes fruit ripening (Böttcher et al., 2013), it was proposed that mul-miR828b-3p, mul-miRn73, and mul-miRn86 might promote fruit ripening by suppressing the auxin signaling pathway and promoting ethylene signaling pathway. In addition, some miRNAs such as mul-miR156e, mul-miR156t, mul-miR394a-5p, mul-miR894, and mul-miRn42 were predicted to target the genes involved in cytokinin or abscisic acid signaling pathway. Therefore, these miRNAs may play roles in controlling fruit development and ripening visa mediating hormonal crosstalk.

During fruit development, miRNAs play pivotal roles in controlling cell proliferation, expansion and differentiation. It was reported that growth-regulating factors (GRFs) play an important role in regulating fruit growth (Cao et al., 2016). In this study, it was found that the GRF1 gene was predicted to be targeted by mul-miR396, and the expression level of mul-miR396 was increased while the expression level of GRF1 was decreased as fruit ripening (Table 1 and Supplementary Table 2). In addition, some target genes of the DE miRNAs (mul-miR1511, mul-miR156e, mul-miR156t, and mul-miR5077) were also involved in cell division and cell growth. These miRNAs possibly act as regulators to adjust the expression of their target genes and control fruit development and ripening. Fruit softening is a sign of fruit ripening, which involves the changes of cell wall composition, structure and biochemical characteristics (Paniagua et al., 2017). In this study, the predicted target genes of some DE miRNAs (mul-miR156e-3p, mul-miR397-5p, mul-miR894, and mul-miRn52) might be associated with the formation and structure modification of cell wall (Supplementary Table 1). Therefore, these DE miRNAs possibly play important roles in controlling fruit firmness and softening during fruit ripening.

The quality and flavor of fruit are mainly determined by the content and composition of sugar and acid in fruit, and these are a variety of sugar and acid metabolic changes in the fruit ripening process (Lado et al., 2018). KEGG analysis of some target genes of the DE miRNAs were involved in starch, sucrose, fructose, and mannose metabolisms. For example, the novel miRNAs, mul-miRn23, mul-miRn30, and mul-miRn53 were predicted to target the probable fructokinase-1, glucan endo-1,3-beta-glucosidase-like gene, and galacturonosyltransferase 8 genes, respectively. In addition, some target genes of the DE miRNAs were involved in the metabolism of amino acid, lipid, fatty acid, and some secondary metabolites. Therefore, miRNAs might be master modulators of some metabolic process during fruit ripening.

The coloration of mulberry fruit during ripening is associated with the production of anthocyanin. In this study, some target genes of the DE miRNAs were involved in anthocyanin metabolism. It’s well documented that mul-miR156 can target the SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) genes, which negatively regulates anthocyanin accumulation by depressing the expression of anthocyanin biosynthetic genes (Zhao et al., 2017; Chaves-Silva et al., 2018). Our data showed that the accumulation of mul-miR156e and mul-miR156t increased during fruit ripening (Table 1), and mul-miR156e was predicted to target the SPL16 gene and mul-miR156t was predicted to target the SPL4 and SPL16 genes (Supplementary Table 2). In addition, the accumulation of mul-miR156e-3p decreased during fruit ripening, and the mul-miRNA was predicted to target the UDP-glycosyltransferase 75B1 gene, which was involved in the modification pathway of highly glycosylated anthocyanin (Wang et al., 2018). Therefore, the differential expression of mul-miR156e and mul-miR156t might promote the accumulation of anthocyanin, and this is consistent with the color change during fruit ripening.

The ATP-binding cassette (ABC) transporters are a class of major ATP-powered transporters, which are involved in a broad range of biological functions. Based on amino acid sequence, presence of transmembrane domains (TMDs), protein solubility, and function, plant ABC transporters were classified into eight subfamilies using the nomenclature: A, B, C, D, E, F, G, and I (Lopez-Ortiz et al., 2019). Although all nucleotide-binding domains (NBDs) of the ABC transporters share a common evolutionary origin and mechanism, the sequences of the coupled TMDs may be different and show important mechanistic differences. Therefore, the substrates captured by different ABC transporters may be diverse (Verrier et al., 2008). It was suggested that flavonoid movement may be mediated by ABCC proteins (Buer et al., 2007), and some members of ABCC transporters, such as maize MRP1, are involved in anthocyanin accumulation (Goodman et al., 2004). It has been demonstrated that the ABCB19 protein of Arabidopsis thaliana is involved in the auxin transport and plays roles in regulating the expression of CHS gene and required for normal accumulation of anthocyanin (Lin and Wang, 2005). Though Mul-ABCB19 is an ortholog of AtABCB19, there was no obvious phenotypic difference between overexpressing Mul-ABCB19 and wild type Arabidopsis thaliana plants other than there was more anthocyanin accumulation in the overexpressing Mul-ABCB19 Arabidopsis thaliana plants (Figure 8). Moreover, it was found that the expression of CHS gene was higher (Supplementary Figure 3) in the overexpressing Mul-ABCB19 Arabidopsis thaliana plant than that in the wild type plants. Therefore, it appears that overexpression of Mul-ABCB19 affects anthocyanin level via transcription regulation of CHS genes, which, in turn, is possibly regulated by altered auxin transport. Since some members of the ABC transporter subfamily B members have been reported to be involved in the transport of secondary metabolites and exogenous substrates (Verrier et al., 2008), the role of Mul-ABCB19 as a direct transporter of anthocyanin cannot be completely ruled out. Therefore, further investigations to confirm the function of Mul-ABCB19 are required. The studies involving the development of knock-out lines of Mul-ABCB19 and complementation experiments on AtABCB19 mutant Arabidopsis, as well as in vitro transport assays using yeast or insect cells should provide detailed insights into the function of Mul-ABCB19 in the future.

Interestingly, it was found that the antisense lncRNA, Mul-ABCB19AS, can suppress the expression of Mul-ABCB19 and be targeted by mul-miR477. Therefore, Mul-ABCB19AS might modulate anthocyanin accumulation by suppressing the expression of Mul-ABCB19, whereas mul-miR477 acts as a positive regulator in anthocyanin accumulation by targeting the Mul-ABCB19AS. Based on these information obtained, it is speculated that there is a mul-miR477—Mul-ABCB19AS—Mul-ABCB19 pathway, which may play an important role in regulating the accumulation of anthocyanin in mulberry, and the up-regulation of mul-miR477 during fruit ripening might promote mulberry fruit coloring.

Conclusion

In conclusion, the dynamic regulation of miRNAs during mulberry fruit ripening was explored using high-throughput sequencing and molecular biology approaches. The DE miRNAs and their target genes during mulberry fruit ripening were identified, and their probable roles were discussed. Our results provided that mul-miR477 acts as a positive regulator for anthocyanin accumulation through the regulatory network of mul-miR477—Mul-ABCB19AS—Mul-ABCB19. The information provided in the current study is particularly useful for understanding the function and mechanisms of miRNAs during mulberry fruit development and ripening.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

• 1

  BettiF.Ladera-CarmonaM. J.PerataP.LoretiE. (2020). RNAi mediated hypoxia stress tolerance in plants.Int. J. Mol. Sci.21:9394. 10.3390/ijms21249394

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 2

  BiF.MengX.MaC.YiG. (2015). Identification of miRNAs involved in fruit ripening in Cavendish bananas by deep sequencing.BMC Genomics16:776. 10.1186/s12864-015-1995-1

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 3

  BöttcherC.BurbidgeC. A.BossP. K.DaviesC. (2013). Interactions between ethylene and auxin are crucial to the control of grape (Vitis vinifera L.) berry ripening.BMC Plant Biol.13:222. 10.1186/1471-2229-13-222

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 4

  BuerC. S.MudayG. K.DjordjevicM. A. (2007). Flavonoids are differentially taken up and transported long distances in Arabidopsis.Plant Physiol.145478–490. 10.1104/pp.107.101824

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 5

  CaoD.WangJ.JuZ.LiuQ.LiS.TianH.et al (2016). Regulations on growth and development in tomato cotyledon, flower and fruit via destruction of miR396 with short tandem target mimic.Plant Sci.2471–12. 10.1016/j.plantsci.2016.02.012

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 6

  Chaves-SilvaS.SantosA. L. D.Chalfun-JúniorA.ZhaoJ.PeresL. E. P.BeneditoV. A. (2018). Understanding the genetic regulation of anthocyanin biosynthesis in plants-Tools for breeding purple varieties of fruits and vegetables.Phytochemistry15311–27. 10.1016/j.phytochem.2018.05.013

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 7

  ChristopherA. C. J.AnaA. F. P.RamónG. G. G.AndrésC. H. (2020). MicroRNA regulation during the tomato fruit development and ripening: a review.Sci. Hortic-Amsterdam.270:109435. 10.1016/j.scienta.2020.109435

  • CrossRef
  • Google Scholar
  • View reference in article

• 8

  DeepikaL.Sanchita, AshutoshP.DeepikaS.PrabodhK. T. (2020). Novel microRNAs regulating ripening-associated processes in banana fruit.Plant Growth Regul.90223–235. 10.1007/s10725-020-00572-w

  • CrossRef
  • Google Scholar
  • View reference in article

• 9

  FennM. A.GiovannoniJ. J. (2021). Phytohormones in fruit development and maturation.Plant J.105446–458. 10.1111/tpj.15112

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 10

  Ferreirae SilvaG. F.SilvaE. M.Azevedo MdaS.GuivinM. A.RamiroD. A.FigueiredoC. R.et al (2014). MicroRNA156-targeted SPL/SBP box transcription factors regulate tomato ovary and fruit development.Plant J.78604–618. 10.1111/tpj.12493

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 11

  GaiY. P.ZhaoH. N.ZhaoY. N.ZhuB. S.YuanS. S.LiS.et al (2018). MiRNA-seq-based profiles of miRNAs in mulberry phloem sap provide insight into the pathogenic mechanisms of mulberry yellow dwarf disease.Sci. Rep.8:812.

  • Google Scholar

• 12

  GeJ.YueP.ChiJ.LiangJ.GaoX. (2018). Formation and stability of anthocyanins-loaded nanocomplexes prepared with chitosan hydrochloride and carboxymethyl chitosan.Food Hydrocolloid.7423–31. 10.1016/j.foodhyd.2017.07.029

  • CrossRef
  • Google Scholar

• 13

  GeW.ZhangY.ChengZ.HouD.LiX.GaoJ. (2017). Main regulatory pathways, key genes and microRNAs involved in flower formation and development of moso bamboo (Phyllostachys edulis).Plant Biotechnol J.1582–96. 10.1111/pbi.12593

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 14

  GoodmanC. D.CasatiP.WalbotV. (2004). A multidrug resistance associated protein involved in anthocyanin transport in Zea mays.Plant Cell161812–1826. 10.1105/tpc.022574

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 15

  GuoD. L.LiQ.LvW. Q.ZhangG. H.YuY. H. (2018). MicroRNA profiling analysis of developing berries for ‘Kyoho’ and its early-ripening mutant during berry ripening.BMC Plant Biol.18:285. 10.1186/s12870-018-1516-x

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 16

  JeongD. H.ThatcherS. R.BrownR. S.ZhaiJ.ParkS.RymarquisL. A.et al (2013). Comprehensive investigation of microRNAs enhanced by analysis of sequence variants, expression patterns, ARGONAUTE loading, and target cleavage.Plant Physiol.1621225–1245. 10.1104/pp.113.219873

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 17

  JiaL.ZhangD.QiX.MaB.XiangZ.HeN. (2014). Identification of the conserved and novel miRNAs in mulberry by high-throughput sequencing.PLoS One9:e104409. 10.1371/journal.pone.0104409

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 18

  KarlovaR.RosinF. M.Busscher-LangeJ.ParapunovaV.DoP. T.FernieA. R.et al (2011). Transcriptome and metabolite profiling show that APETALA2a is a major regulator of tomato fruit ripening.Plant Cell23923–941. 10.1105/tpc.110.081273

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 19

  LadoJ.GambettaG.ZacariasL. (2018). Key determinants of citrus fruit quality, metabolites and main changes during maturation.Sci. Hortic.233238–248. 10.1016/j.scienta.2018.01.055

  • CrossRef
  • Google Scholar
  • View reference in article

• 20

  LeeY.HwangK. T. (2017). Changes in physicochemical properties of mulberry fruits (Morus alba L.) during ripening.Sci. Hortic.217189–196. 10.1016/j.scienta.2017.01.042

  • CrossRef
  • Google Scholar
  • View reference in article

• 21

  LengP.YuanB.GuoY. (2014). The role of abscisic acid in fruit ripening and responses to abiotic stress.J. Exp. Bot.654577–4588. 10.1093/jxb/eru204

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 22

  LenzD.MayP.WaltherD. (2011). Comparative analysis of miRNAs and their targets across four plant species.BMC Res. Notes8:483. 10.1186/1756-0500-4-483

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 23

  LiJ.LaiT.SongH.XuX. (2017). MiR164 is involved in delaying senescence of strawberry (Fragaria ananassa) fruit by negatively regulating NAC transcription factor genes under low temperature.Russ. J. Plant Physiol.64251–259. 10.1134/s102144371702008x

  • CrossRef
  • Google Scholar
  • View reference in article

• 24

  LiS.ChenK.GriersonD. (2019). A critical evaluation of the role of ethylene and MADS transcription factors in the network controlling fleshy fruit ripening.New Phytol.2211724–1741. 10.1111/nph.15545

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 25

  LinR.WangH. (2005). Two homologous ATP-binding cassette transporter proteins, AtMDR1 and AtPGP1, regulate Arabidopsis photomorphogenesis and root development by mediating polar auxin transport.Plant Physiol.38949–964. 10.1104/pp.105.061572

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 26

  LiuC.ZhaoA.ZhuP.LiJ.HanL.WangX.et al (2015). Characterization and expression of genes involved in the ethylene biosynthesis and signal transduction during ripening of mulberry fruit.PLoS One10:e0122081. 10.1371/journal.pone.0122081

  • Pubmed Abstract
  • CrossRef
  • Google Scholar
  • View reference in article

• 27

  LiuY.WangL.ChenD.WuX.HuangD.ChenL.et al (2014). Genome-wide comparison of microRNAs and their targeted transcripts among leaf, flower and fruit of sweet orange.BMC Genomics15:695. 10.1186/1471-2164-15-695

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 28

  LivakK. J.SchmittgenT. D. (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method.Methods25402–408. 10.1006/meth.2001.1262

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 29

  Lopez-OrtizC.DuttaS. K.NatarajanP.Peña-GarciaY.AbburiV.SaminathanT.et al (2019). Genome-wide identification and gene expression pattern of ABC transporter gene family in Capsicum spp.PLoS One14:e0215901. 10.1371/journal.pone.0215901

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 30

  MahmoodT.AnwarF.AfzalN.KausarR.ShoaibM. (2017). Influence of ripening stages and drying methods on polyphenolic content and antioxidant activities of mulberry fruits.J. Food Meas. Charact.112171–2179. 10.1007/s11694-017-9602-6

  • CrossRef
  • Google Scholar

• 31

  MengD.YangQ.DongB.SongZ.NiuL.WangL.et al (2019). Development of an efficient root transgenic system for pigeon pea and its application to other important economically plants.Plant Biotechnol. J.171804–1813.

  • Google Scholar

• 32

  MoxonS.JingR.SzittyaG.SchwachF.Rusholme PilcherR. L.MoultonV.et al (2008). Deep sequencing of tomato short RNAs identifies microRNAs targeting genes involved in fruit ripening.Genome Res.181602–1609. 10.1101/gr.080127.108

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 33

  OkamotoK.UedaH.ShimadaT.TamuraK.KoumotoY.TasakaM.et al (2016). An ABC transporter B family protein, ABCB19, is required for cytoplasmic streaming and gravitropism of the inflorescence stems.Plant Signal. Behav.11:e1010947. 10.1080/15592324.2015.1010947

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 34

  PaniaguaC.Santiago-DoménechN.KirbyA. R.GunningA. P.MorrisV. J.QuesadaM. A.et al (2017). Structural changes in cell wall pectins during strawberry fruit development.Plant Physiol. Biochem.11855–63. 10.1016/j.plaphy.2017.06.001

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 35

  QiuK.LiZ.YangZ.ChenJ.WuS.ZhuX.et al (2015). EIN3 and ORE1 accelerate degreening during ethylene-mediated leaf senescence by directly activating chlorophyll catabolic genes in Arabidopsis.PLoS Genet.11:e1005399. 10.1371/journal.pgen.1005399

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 36

  QuD.YanF.MengR.JiangX.YangH.GaoZ.et al (2016). Identification of microRNAs and their targets associated with fruit-bagging and subsequent sunlight re-exposure in the “Granny Smith” apple exocarp using high-throughput sequencing.Front Plant Sci.7:27. 10.3389/fpls.2016.00027

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 37

  RogersK.ChenX. (2013). Biogenesis, turnover, and mode of action of plant microRNAs.Plant Cell252383–2399. 10.1105/tpc.113.113159

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 38

  VerrierP. J.BirdD.BurlaB.DassaE.ForestierC.GeislerM.et al (2008). Plant ABC proteins–a unified nomenclature and updated inventory.Trends Plant Sci.13151–159. 10.1016/j.tplants.2008.02.001

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 39

  WangH.WangC.FanW.YangJ.AppelhagenI.WuY.et al (2018). A novel glycosyltransferase catalyses the transfer of glucose to glucosylated anthocyanins in purple sweet potato.J. Exp. Bot.695444–5459.

  • Google Scholar

• 40

  WangW. Q.WangJ.WuY. Y.LiD. W.AllanA. C.YinX. R. (2020). Genome-wide analysis of coding and non-coding RNA reveals a conserved miR164-NAC regulatory pathway for fruit ripening.New Phytol.2251618–1634. 10.1111/nph.16233

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 41

  WangY. F.HouX. Y.DengJ. J.YaoZ. H.LyuM. M.ZhangR. S. (2020). AUXIN RESPONSE FACTOR 1 acts as a positive regulator in the response of poplar to Trichoderma asperellum inoculation in overexpressing plants.Plants (Basel)9:272. 10.3390/plants9020272

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 42

  WhenP.HuT. G.RobertJ. L.LiaoS. T.HongW.ZouY. X. (2019). Mulberry, a review of bioactive compounds and advanced processing technology.Trends Food Sci Tech.83138–158. 10.1016/j.tifs.2018.11.017

  • CrossRef
  • Google Scholar

• 43

  WuJ.WangD.LiuY.WangL.QiaoX.ZhangS. (2014). Identification of miRNAs involved in pear fruit development and quality.BMC Genomics15:953. 10.1186/1471-2164-15-953

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 44

  XuX.YinL.YingQ.SongH.XueD.LaiT.et al (2013). High-throughput sequencing and degradome analysis identify miRNAs and their targets involved in fruit senescence of Fragaria ananassa.PLoS One8:e70959. 10.1371/journal.pone.0070959

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 45

  YuY.JiaT.ChenX. (2017). The ‘how’ and ‘where’ of plant microRNAs.New Phytol.2161002–1017.

  • Google Scholar

• 46

  YueP.LuQ.LiuZ.LvT.LiX.BuH.et al (2020). Auxin-activated MdARF5 induces the expression of ethylene biosynthetic genes to initiate apple fruit ripening.New Phytol.2261781–1795. 10.1111/nph.16500

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 47

  ZengS.LiuY.PanL.HaywardA.WangY. (2015). Identification and characterization of miRNAs in ripening fruit of Lycium barbarum L. using high-throughput sequencing.Front. Plant Sci.6:778. 10.3389/fpls.2015.00778

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 48

  ZhangL. L.DaiL. J.GouJ. B.PengJ. H. (2013). An effective protocol to solve the problem in genomic dna isolation of tung tree.J. Plant Biochem. Biot.22492–497. 10.1007/s13562-012-0183-5

  • CrossRef
  • Google Scholar

• 49

  ZhaoD.XiaX.WeiM.SunJ.MengJ.TaoJ. (2017). Overexpression of herbaceous peony miR156e-3p improves anthocyanin accumulation in transgenic Arabidopsis thaliana lateral branches.3 Biotech.7:379.

  • Google Scholar