Next Article in Journal
BcXyl, a β-xylosidase Isolated from Brunfelsia Calycina Flowers with Anthocyanin-β-glycosidase Activity
Next Article in Special Issue
Boron Deficiency Increases Cytosolic Ca2+ Levels Mainly via Ca2+ Influx from the Apoplast in Arabidopsis thaliana Roots
Previous Article in Journal
Changes in Endothelial Nitric Oxide Production in Systemic Vessels during Early Ontogenesis—A Key Mechanism for the Perinatal Adaptation of the Circulatory System
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

MicroRNA Sequencing Revealed Citrus Adaptation to Long-Term Boron Toxicity through Modulation of Root Development by miR319 and miR171

1
Institute of Plant Nutritional Physiology and Molecular Biology, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2
Pomological Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China
3
Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
4
Fujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
5
The Higher Educational Key Laboratory of Fujian Province for Soil Ecosystem Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2019, 20(6), 1422; https://doi.org/10.3390/ijms20061422
Submission received: 30 January 2019 / Revised: 15 March 2019 / Accepted: 19 March 2019 / Published: 21 March 2019
(This article belongs to the Special Issue Novel Aspects of Boron Biology in Plants. Boron and Plant Interaction)

Abstract

:
Boron (B) toxicity in Citrus is a common physiological disorder leading to reductions in both productivity and quality. Studies on how Citrus roots evade B toxicity may provide new insight into plant tolerance to B toxicity. Here, using Illumina sequencing, differentially expressed microRNAs (miRNAs) were identified in B toxicity-treated Citrus sinensis (tolerant) and C. grandis (intolerant) roots. The results showed that 37 miRNAs in C. grandis and 11 miRNAs in C. sinensis were differentially expressed when exposed to B toxicity. Among them, miR319, miR171, and miR396g-5p were confirmed via 5′-RACE and qRT-PCR to target a myeloblastosis (MYB) transcription factor gene, a SCARECROW-like protein gene, and a cation transporting ATPase gene, respectively. Maintenance of SCARECROW expression in B treated Citrus roots might fulfill stem cell maintenance, quiescent center, and endodermis specification, thus allowing regular root elongation under B-toxic stress. Down-regulation of MYB due to up-regulation of miR319 in B toxicity-treated C. grandis roots might decrease the number of root tips, thereby dramatically changing root system architecture. Our findings suggested that miR319 and miR171 play a pivotal role in Citrus adaptation to long-term B toxicity by targeting MYB and SCARECROW, respectively, both of which are responsible for root growth and development.

1. Introduction

Boron (B) is one of the important micronutrients that play vital roles in plant growth, development, and reproduction [1,2]. Although, its exact role in higher plants remains to be uncovered, B is involved in diverse biochemical and physiological processes, such as primary cell wall synthesis and secondary lignification, membrane integrity maintenance, carbohydrate and nucleic acid metabolisms, signaling, and gene expression [3].
Given the narrow concentration range suitable for plant growth, B would easily produce toxicity to plants when soils contain excessive B [4]. B toxicity, in agricultural production, occurs generally in B-rich soils or in soils where B accumulates due to continued inflow of industrial pollutants, directly affecting yield and quality of various horticultural plants around the world [5].
Evergreen subtropical Citrus plants are sensitive to B excess [6]. Inappropriate application of B fertilizer in Citrus orchards, especially under low rainfall conditions, can result in over accumulation of B in the older mature leaves, generating typical B-toxic effects. In fact, B toxicity in Citrus has recently become a common physiological disorder leading to reductions in both productivity and tree vigor [6,7,8]. A recent investigation by Li et al. [9] showed that 74.8% of 319 leaf samples from ‘Guanximiyou’ pummelo (C. grandis) orchards located in Pinghe county of southern Fujian, China, contained excess B due to the abuse of B fertilizer.
In many plant species, a primary phenotypic effect of B toxicity is root growth inhibition, although the precise mechanism for root growth disruption by B is still poorly understood [3]. One hypothesis for barley in the early 21st century is that B might interfere with transcription and/or translation of mitosis-related proteins by binding to cis hydroxyls on ribose molecules, thereby reducing root expansion [10]. Later, the molecular basis of root growth inhibition in Arabidopsis was reported by Aquea et al. [11]. They found that B toxicity modulates the expression of genes involved in ABA signaling and water transport, triggering a water-stress response in the roots.
Citrus tolerance to B-toxicity varies with cultivars and/or species [8,12]. However, the mechanisms underlying tolerance to B-toxicity in woody Citrus seem to differ from those in herbaceous plant species because lowered total B levels have not been observed in the leaves or roots of tolerant species when compared to intolerant ones under B excess conditions [8,13,14]. To date, investigations were mainly focused on the effects of B toxicity on the above plant parts. How Citrus roots evade B toxicity by gene regulation is poorly studied.
Derived from non-coding RNA genes, microRNAs (miRNAs) are 21- to 24-nt long small RNAs, which negatively regulate gene expression at the post-transcriptional level by guiding cleavage of target mRNAs [15] or through translation inhibition [16]. Growing evidence demonstrates that plant miRNAs play a pivotal role in the response to B stresses [17,18]. Previously, Huang et al. [19] reported that, in Citrus leaves, miR397a is involved in the mitigation of B toxicity to the phloem via modulating secondary cell-wall biosynthesis of the xylem, suggesting miRNA regulation in Citrus adaptation to long-term B toxicity. Nonetheless, little information about B-toxicity-responsive miRNAs is available in Citrus roots.
With the objective of exploring how Citrus roots evade B toxicity, we reported here identification of miRNAs from the roots of B-tolerant (C. sinensis) and B-intolerant (C. grandis) Citrus species [8] treated with different B levels. On this basis, predicted targets of the candidate miRNAs were verified via modified 5′-RACE and qRT-PCR. Our results provide a molecular basis for plant tolerance to B toxicity.

2. Results

2.1. B-Toxic Treatment on Root Development

The average diameter of C. sinensis and C. grandis roots under control were 5.58 and 9.00 mm, respectively. B-toxic treatment had no significant effect on average diameter of either C. sinensis (6.75 mm; p = 0.402) or C. grandis roots (8.12 mm; p = 0.268). There was no significant difference in either total root length (p = 0.075 and 0.894 for C. grandis and C. sinensis, respectively) or fork number (p = 0.46 and 0.914 for C. grandis and C. sinensis, respectively) between the two B treatments for each Citrus species. B-toxic treatment had no influence on root tip numbers in C. sinensis (p = 0.96), although, it significantly reduced the number of root tips in C. grandis (p = 0.046; Figure 1).

2.2. miRNA Sequencing Data Processing, Annotation, and Primary Analysis

A total of 12 cDNA libraries from the control and B toxicity-treated C. sinensis and C. grandis roots were sequenced. Clean reads ranging from 11,708,012 to 20,753,601 were retained from each library. The sRNAs in each library were annotated in Table 1.
Most of the unique clean reads in the 12 sRNAs libraries were between 21 and 24 nt. The read counts with 24 nt were the greatest, followed by those with 21 nt. Analysis revealed that 12.25% of the 24 nt sequences, yet only 7.30% of the 21 nt sequences, in the 12 sequenced libraries mapped to the C. clementina genome (Figure S1).
For known miRNA identification and novel miRNA prediction, we used BLAST searches and the MTide program, respectively, and a total of 172 mature miRNAs were identified from all the clean reads of the 12 sRNA libraries. Among the identified miRNAs, five were annotated Citrus miRNAs (in the miRbase v21.0), while 167 were novel miRNAs (133 conserved and 34 non-conserved; Dataset S1). As reported in B toxicity-treated Citrus leaves [19], single nucleotide polymorphisms (SNP) were detected in the mature miRNA sequences.
Thirty-one of the novel non-conserved miRNAs could be considered new miRNAs since they had a definite anti-sense miRNA (miRNA*) sequence. The remaining three non-conserved miRNAs might still be considered potential novel miRNAs in Citrus based on their dominant read counts of above 700, even though none of corresponding miRNA* sequence was found in our dataset (Dataset S1).
Intriguingly, of the novel mature miRNAs identified in this study, 71 (41.28%) were of 24 nt in length, while 59 (34.30%) were of 21 nt (Figure S2A), indicating that 24 nt-long miRNAs are predominant in Citrus roots, which was in line with previous reports by Lu et al. [17] on B deficiency-treated C. sinensis roots, although it was different from the results of B toxicity-treated Citrus leaves [19]. As seen in Figure S2B, 69.64 % of the 21-nt-long novel miRNAs began with a 5′ uridine, whereas 66.19 % of those with 24 nt started with a 5′ adenosine. This was consistent with our previous report for B toxicity-treated Citrus leaves [19].

2.3. Differential Expressions of miRNAs in Response to B Toxicity

The expression patterns of miRNAs were slightly different between C. sinensis and C. grandis. Specifically, miR7496 and another three non-conserved miRNAs (‘scaffold_3_10325′, ‘scaffold_8_42593′, and ‘scaffold_8_42594′) were almost undetectable in C. grandis roots; miR3951 and a non-conserved ci-miRN17 were expressed consistently under control and B-toxic treatments at high levels in C. sinensis roots, and miR9563 in C. grandis roots (Figure S3).
Further analysis revealed that 37 (23 up- and 14 down-regulated) and 11 (six up- and five down-regulated) miRNAs were differentially expressed in response to B toxicity in C. grandis and C. sinensis, respectively (Dataset S2). It is worth mentioning that the expression patterns of most of the B-toxicity-responsive miRNAs were similar between C. sinensis and C. grandis, and that among the above mentioned seven miRNAs that expressed in a species-specific manner, miR3951, miR7496, and ci-miRN17 were significantly down-regulated in C. grandis roots.

2.4. Prediction and GO Analysis of Targets for DE miRNAs

Using the TargetFinder, a total of 101 genes were predicted for the 172 identified conserved and non-conserved miRNAs. Given the specificity of miRNA expression in plants and animals [20,21]; Pobezinsky et al. [22] specifically expressed that miRNAs in either C. sinensis or C. grandis roots might be involved in the different response to B toxicity between the two Citrus species. However, only three targets were obtained for the seven species-specific miRNAs. Among them, Ciclev10028368m.g.v1.0 was targeted by miR3951, whereas both Ciclev10029732m.g.v1.0 and Ciclev10024645m.g.v1.0 were co-targeted by ‘scaffold_8_42593′ and ‘scaffold_8_42594′. Unfortunately, these targets were poorly annotated; we therefore focused on candidate targets predicted from miRNAs that showed a discrepancy between control and B-toxic treatments in each species. Finally, 29 target genes were predicted from the 47 (37 for C. grandis, 11 for C. sinensis, and one shared) B-toxicity-responsive miRNAs (Dataset S3).
GO annotation of the differentially expressed (DE) miRNA targets were applied for enrichment analysis. However, no significant shared GO term was obtained because all the expected gene counts were less than five. Nevertheless, it is noteworthy that most of candidate targets were enriched in categories classified as biological process, and that these targets were predicted from miRNAs that were only differentially expressed in C. grandis roots, indicating that B-toxic treatment has obviously greater impact on C. grandis roots compared to C. sinensis (Figure S4).

2.5. qRT-PCR Relative Expression Analysis of DE miRNAs and Target Genes

For validation of the Illumina sequencing results, relative expression levels of 22 randomly selected miRNAs were determined by stem-loop qRT-PCR. However, the qRT-PCR programs of three selected miRNAs were aborted due to nonspecific amplification of their corresponding primer pairs. Among the other 19 (17 conserved and two non-conserved) miRNAs, miR156, and miR159 were both down-regulated in C. grandis and C. sinensis under B toxicity when assayed via qRT-PCR, whereas they were all up-regulated according to direct sequencing; miR395a and miR167-3p were down-regulated in response to B toxicity in C. grandis, although they were up-regulated according to Illumina sequencing. Overall, in the two Citrus species, 71.05% of the successfully tested miRNAs had a similar expression pattern between the qRT-PCR and the direct sequencing results in response to B toxicity (Figure 2; Dataset S2).
Sixteen target genes predicted from eight DE miRNAs were assayed via qRT-PCR. Six candidate genes co-targeted by miR156 and miR156k, including Ciclev10031270m.g.v1.0, Ciclev10031391m.g.v1.0, Ciclev10020532m.g.v1.0, Ciclev10031834m.g.v1.0, Ciclev10011938m.g.v1.0, and Ciclev10004527m.g.v1.0 showed the expected changes in mRNA levels in C. sinensis roots, yet their expression levels were not significantly changed in C. grandis roots. The levels of Ciclev10009458m.g.v1.0 and Ciclev10000756m.g.v1.0 were negatively correlated with those of miR398 and miR319, respectively, in both C. sinensis and C. grandis roots, indicating that they might be regulated via miRNA-mediated cleavage. The expression of Ciclev10019529m.g.v1.0 was positively correlated with the level of miR396g-5p. The remaining target genes maintained a relatively stable expression level (Table 2; Figure 2 and Figure 3). Overall, our results, as previously reported by Lu et al. [17] for Citrus and Moldovan et al. [23] for Arabidopsis, showed that profiling target gene expressions by qRT-PCR is not an efficiency way to predict miRNA targets.

2.6. Experimental Validation of miRNA-Mediated Cleavage of Target Genes

Seventeen candidate targets (including all the 15 annotated ones) were experimentally verified via modified 5′-RACE analysis. Finally, Ciclev10000756m.g.v1.0, Ciclev10018916m.g.v1.0, and Ciclev10003452m.g.v1.0, which encode a myeloblastosis (MYB) transcription factor, a SCARECROW-like protein, and a cation transporting ATPase, respectively, were confirmed to be cleaved by their corresponding miRNAs (Figure 3). Intriguingly, Ciclev10000756m.g.v1.0, which was co-targeted by miR319 and miR159, produced only one product, while Ciclev10018916m.g.v1.0, which was simultaneously targeted by miR171, miR171b, miR171f, and ctr-miR171, generated three products with different abundances.

2.7. Bioinformatics of Ciclev10000756m.g.v1.0 Encoded Protein

The biological function of Ciclev10000756m.g.v1.0 in Citrus roots is still not understood. Given the various functions of MYBs′ family members in plant growth and development, bioinformatic analysis of Ciclev10000756m.g.v1.0 may help us to further understand its role in Citrus response to B toxicity. The phylogenetic relationships within Ciclev10000756m.g.v1.0 and 43 randomly selected AtMYBs, based on multiple amino acid sequence alignment, clustered them into five different groups, in one of which Ciclev10000756m.g.v1.0, AtMYB96, 44, 77, 61, and 93 were present (Figure 4). Interestingly, AtMYB96, 44, 77, 61, and 93 were all involved in the regulation of lateral root growth and development in Arabidopsis [24,25,26,27,28], implying that Ciclev10000756m.g.v1.0 might also function in Citrus lateral root development.

2.8. Non-Structural Carbohydrates in Citrus Roots

Two-way between-groups ANOVA was used to examine the main effects and interactions of B treatment and species for starch, fructose, glucose, and sucrose contents. As shown in Figure 5, there were significant two-way interactions of B treatment and species for the above mentioned non-structural carbohydrates in citrus root tips (F = 55.140, p < 0.001; F = 29.238, p < 0.001; F = 10.623, p = 0.007; F = 12.766, p = 0.004; respectively). B-toxic treatment significantly increased starch, glucose, and sucrose contents in C. sinensis root tips and decreased starch and fructose contents in C. grandis roots; although, it did not impact glucose and sucrose contents in C. grandis roots.

3. Discussion

In Citrus, easily recognized symptoms of B toxicity only occur in leaves, but do not appear to develop in roots [5,7,8,12,29]. B-toxic treatment does not change root meristem structure in either tolerant or intolerant Citrus cultivars. These results were presumed to be caused by the relative lower B levels in the roots than in the leaves [8]. Similarly, our results indicated that B-toxic treatment had little impact on radial (average diameter) and axial growth (total root length) of the root system. Nevertheless, B-toxic treatment significantly changed, in C. grandis, the root system architecture by reducing the number of root tips (Figure 1), suggesting that B-toxicity treatment restricts lateral root differentiation in intolerant C. grandis. Since B-toxic treatment significantly alters the expression levels of genes [30] and abundances of proteins [31] in Citrus roots, the roots of intolerant species might perceive B toxicity to the aboveground parts via certain signal transduction pathways, and respond appropriately for plant adaptation.
Using Illumina sequencing, a total of 172 (five known, 133 conserved, and 34 novel) miRNAs were identified from B-toxic treated Citrus roots in the present study. Among the identified miRNAs, 37 (33 conserved and four novel) in C. grandis roots and 11 (nine conserved and two novel) in C. sinensis showed differential expressions after the B-toxic treatment, suggesting that miRNAs were involved in the adaptive response of root tips to long-term B toxicity.

3.1. Tissue-Specific Expression of miRNAs in Response to B Toxicity

Previous studies have shown tissue specificity of plant miRNA expression under various environmental stresses. For instance, miR397 and miR398 were specifically expressed in maize leaves and miR319 and miR395 in the nitrate-limited roots [32]. Similarly in barley, miR397 were inhibited in the leaves under B toxicity, whereas miR319 and miR395 were induced in the roots exposed to B toxicity [18]. In B toxicity-treated Citrus, miR397, and miR398 were specifically expressed in the leaves [19] and roots (Figure 2), respectively; the expression of miR319 was enhanced in C. grandis roots (Dataset S2) but was repressed in C. sinensis leaves [19]; miR395 was expressed in both the leaves and roots of C. grandis under B toxicity, but with an opposite expression pattern [19] (Figure 2). These results suggest that the tissue specificity of miRNA expression varies with plant species as well as the environmental stimuli.
The specificity of B-toxicity-responsive miR397 in C. grandis and C. sinensis leaves might be due to its specific expression in the leaves among Citrus. This is supported by our Illumina sequencing results of the 12 B-treated root sRNA libraries, from which not even one read count of miR397 mature sequence was obtained.
Distinctions of the expression of miR395 among plant species, as well as those between the leaves and roots in C. grandis, might result from its targets functions. In both maize and barley, miR395 targets genes belonging to the ATP sulfurylase gene family (also known as APS genes) [32,33], which modulate sulphur assimilation [34]. Since N deficiency reduces sulfate-use efficiency [35,36], and since synergism and/or antagonism exist among nutrient elements in various plants, the root-specific expression of miR395 in maize and barley under nutrient stress such as N deprivation might silence the APS genes, thus enhancing sulfate accumulation. Unlike this, the only candidate target of Citrus miR395 encodes a 3-ketoacyl-CoA thiolase 2 (KAT2), involved in the timely onset of leave senescence [37]. Given that senescence and abscission of leaves can remove excess B from the plants, the opposite expression pattern of miR395 in C. grandis leaves and roots might be attributed to different cell fates of the two organs, which accumulate vastly different B levels [8].

3.2. Validation of miRNA Targets

Since miRNAs regulate specific targets through cleavage in plants [15], RLM-5′-RACE analysis is currently one of the convincing approaches for validation of miRNA targets. Using this approach, Ciclev10000756m.g.v1.0 (CiMYB), Ciclev10018916m.g.v1.0, and Ciclev10003452m.g.v1.0, were confirmed to be cleaved by the corresponding miRNAs (Figure 3).
Our results lead to two sets of questions. The first one relates to determination of the bona fide target of miRNA. The 5′-RACE approach currently cannot determine whether miR319 or miR159, or even both target Ciclev10000756m.g.v1.0, since miR319 and miR159 had nearly identical complementary sequence to the target. In Arabidopsis, miR319 and miR159 are two closely related miRNA families that share high sequence similarity, and generally, the same targets belonging to TCPs and/or MYBs family could be obtained via bioinformatics. Nonetheless, Arabidopsis miR319 and miR159 are found to be functionally specific for the two different sets of targets. Particularly, miR159 modulates floral development via targeting to GAMYB [38], whereas miR319 controls leaf morphogenesis through guiding messenger RNA cleavage of TCPs [39,40]. Such specificity of miRNA regulation is attributed to the expression levels and sequence differences of corresponding miRNAs [41]. Similarly, Ciclev10000756m.g.v1.0 might be targeted by miR159. However, they did not show an expected negative change in RNA levels under the B treatments. The expression level of Ciclev10000756m.g.v1.0, in turn, was negatively correlated with that of miR319. The read counts of miR159 are far less than those of miR319 from the Illumina sequencing results. These together suggest that Ciclev10000756m.g.v1.0 (MYB) is more likely to be regulated by miR319 in Citrus roots. In fact, miR319 can target both TCPs and MYBs [41]. A recent report by Zhang et al. [42] also indicated that miR319b, rather than miR159, targets MYB33 for degradation specifically in Arabidopsis roots exposed to ethylene, leading to root growth inhibition.
The second question concerns the post transcriptional regulation of miRNA target. It is widely accepted that plant miRNAs bind to target transcripts for mRNA decay or translational repression. MiRNA-mediated decay of target mRNA generally results in a negative relationship of transcription level between the miRNAs and their targets [34]. However, some miRNAs still show a positive temporal correlation with their target genes [34,43]. Such contradiction is supposed to be resulted from their different spatial expression [34], which restricts miRNA-mediated cleavage of the target mRNAs. Even though the RNA level of Ciclev10018916m.g.v1.0 was not correlated with that of any of the miR171 family member, the former was definitely cleaved, guided by different members of the later, given that three tagged mRNA fragments, 5′-ends of which would precisely correspond to the tenth nucleotide of different miRNA complementary sites [44], were detected via the 5′-RACE approach (Figure 3B). As a result, significant down and/or up regulation of the miR171 family members in response to B toxicity (Dataset S2) allowed the maintenance of Ciclev10018916m.g.v1.0 expression at a stable level in C. grandis roots under B toxicity.

3.3. B-Toxicity-Responsive miRNAs in Citrus Roots

The numbers of B-toxicity-responsive miRNAs for C. grandis and C. sinensis roots (37 and 11, respectively) were less than those for leaves (51 and 20, respectively; [19], suggesting, again, a relatively mild B-toxic effect in the roots.
Among the DE miRNAs, miR319 were significantly up-regulated in C. grandis roots when exposed to B toxicity (Figure 2B), repressing the expression of Ciclev10000756m.g.v1.0 (Figure 3B), which is homologous to AtMYB96, 44, 77, 61, and 93 (Figure 4). In Arabidopsis, MYB96 has been proposed to be a molecular link that mediates ABA–auxin cross talk in lateral root growth under drought stress [24]; MYB44 and MYB77 interact directly with auxin-responsive regulator genes, controlling lateral root formation under changing environmental conditions [25,26], while MYB93, which is also required for normal auxin responses, interacts with ARABIDILLO proteins in the endodermal cells overlying early lateral root primordial, negatively regulating lateral root development [28]. Unlike these, AtMYB61 appears to allocate carbon to non-recoverable sinks, but meanwhile promotes lateral root growth under favorable conditions [27]. Therefore, it is reasonable to assume that Ciclev10000756m.g.v1.0 might also function in the regulation of lateral root development in Citrus. The down-regulation of Ciclev10000756m.g.v1.0 due to up-regulation of miR319 in B toxicity-treated C. grandis roots might decrease lateral root formation, thus dramatically changing the root system architecture (Figure 1).
Using 5′-RACE, we confirmed Ciclev10018916m.g.v1.0 as a real target of miR171 family members. SCARECROW is the first GRAS transcription factor discovered in plants [45]. It delimits SHORTROOT movement in the endodermis via protein–protein interaction [46], thus regulating an asymmetric endodermal cell division that is essential for generating the radial organization of the plant root [45]. The maintenance of Ciclev10018916m.g.v1.0 expression resulting from up- and/or down-regulation of miR171 family members in B toxicity-treated Citrus roots might fulfil SCARECROW/SHORTROOT interaction, which plays an important role in stem cell maintenance, and quiescent center and endodermis specification [46]. Indeed, long-term B-toxic treatment seems not to affect the tissue organization in Citrus root tips [8], allowing regular root elongation under B toxicity (Figure 1).

3.4. Adaptive Responses of Citrus Roots to Long-Term B Toxicity

Water and nutrient acquisition in plants relies largely upon the root system architecture [47]. Reduction of lateral root number in tetraploid Carrizo citrange (C. sinensis × Poncirus trifoliata) plants can significantly decrease the absorption and transport of B, lowering B concentration in the aboveground parts under B toxicity [48]. However, expected mitigation for B toxicity in B toxicity-treated C. grandis leaves was not observed [8], even though the root system architecture was dramatically changed (Figure 1). Given that the activity of AtMYB61, which is homologous to Ciclev10000756m.g.v1.0 targeted by miR319, is clearly modulated by photoassimilates such as sugar [49,50], one hypothesis is that the decrease of lateral root formation modulated by miR319 in intolerant C. grandis might be a response to carbohydrate starvation in the roots, rather than directly to the B treatment, because long-term B toxicity specifically triggers programmed cell death (PCD) of leaf phloem tissue [8] that could impairs photoassimilate translocation to roots in C. grandis (Figure 5). The reduction of root tip numbers in C. grandis, in the longer run, might limit B absorption and transport. As expected, a relatively lower B concentration has been observed in long-term B toxicity-treated leaves of intolerant C. grandis, compared to those of tolerant C. sinensis [8,13,14].

4. Materials and Methods

4.1. Plant Culture and B Treatments

Eleven-week-old Citrus sinensis (B-tolerant) and C. grandis (B-intolerant) seedlings were sand-cultured and treated with Hoagland’s nutrient solution supplemented with 10 (control) or 400 (B-toxic) μM H3BO3 as described by [8]. After the B treatments for 15 weeks, root tips (approximately 5 mm) were dissected and immediately frozen in liquid N2 and stored at −80 °C until RNA extraction. Root tips dissected from five plants of the same B treatment were mixed as one biological replicate.

4.2. Determination of Root Traits

Root samples were thoroughly washed, rearranged to reduce overlap and crossing, and then scanned at 200 dpi in 20 × 30 cm trays. Root images were analyzed using the WinRHIZO software (Version 2009b, Regent, Montreal, CA, USA) in Lagarde’s mode [51].

4.3. RNA Preparation

Total RNA of root-tip samples was extracted with the TRIzol reagent (Invitrogen, Carlsbad, CA, USA). The total RNA from each replicate was divided into three sections, which were further used for Illumina sequencing, qRT-PCR assay, and modified 5′-RACE amplification, respectively. All the RNA samples were stored at −80 °C before use.

4.4. Library Construction, Illumina Sequencing, and Data Processing

About 1 µg of root total RNA from each biological replicate (three biological replicates for each treatment) was used for small RNA library construction using the TruSeq Small RNA Sample Prep Kit (Illumina, San Diego, CA, USA). Qualified libraries were then sequenced as previously described by Huang et al. [19] with an Illumina HiSeq 2500. Raw data from high-throughput sequencing were pre-processed by the Illumina pipeline filter as reported [19]. Known miRNAs were then identified via subjection of the clean reads to BLAST searches against the miRBase 21 (http://www.mirbase.org/); whereas novel miRNAs via mapping the remaining non-annotated sequences to the C. clementina genome, (http://www.phytozome.org/clementine.php) as previously reported [19].

4.5. Analysis of Differentially Expressed (DE) miRNAs

Both the p-value and fold-change of each miRNA identified from the 12 libraries were calculated using DESeq software [52]. The false discovery rate (FDR) were then generated from the P-value based on the Benjamini Hochberg Method. A 1.5-fold cut-off together with an FDR of less than 0.01 was applied for determination of DE miRNAs.

4.6. Prediction and GO Analysis of miRNA Target Genes

Target genes of miRNAs obtained above were predicted using TargetFinder according to Allen et al. [53] and Schwab et al. [39]. GO terms of all predicted targets were then analyzed with the GO database (http://www.geneontology.org/).

4.7. QRT-PCR of DE miRNAs and Candidate Targets

For verification of DE miRNAs obtained from sequencing, 22 miRNAs were randomly selected to perform stem-loop qRT-PCR using U6 snRNA as an internal control [54]. To monitor the relative abundance of candidate targets, qRT-PCR reactions were performed on a Mastercycler Ep Realplex System (Eppendorf, Hamburg, Germany) using actin (AEK97331.1) as an internal control. Primers used for stem-loop qRT-PCR, as well as those for qRT-PCR of target genes were designed as reported by Huang et al. [19] and listed in Tables S1 and S2, respectively. More details for RT-PCR can be found in Supplementary Methods. Tests were performed with three biological replicates with two technical repeats. Differences between B treatments were analyzed by IBM SPSS software using independent sample t-test.

4.8. Validation of miRNA Targets via RNA Ligase-Mediated 5′-RACE

Poly (A)+ mRNA was isolated from root total RNA with the polyAtract mRNA isolation kit (Promega, Madison, WI, USA), followed by RNA ligase-mediated 5′-RACE with the GeneRacer Kit (Invitrogen, Carlsbad, CA, USA) as described by Song et al. [55]. The gene-specific and nested primers were designed according to Huang et al. [19] and were listed in Table S3. The nested PCR products were finally recovered from agarose gel, cloned into T-vectors, and sequenced.

4.9. Sequence Analysis and Phylogeny of MYBs

The MYB homologues targeted by miR319 and/or miR159 were identified using BLASTP from C. clementina genome, while 43 randomly selected MYB family members of model plant were identified using BLASTP from fully sequenced Arabidopsis thaliana genomes via GenBank. Sequences were aligned using MEGA (Version 7.0.21). The phylogenetic tree was calculated using the maximum likelihood algorithm.

4.10. Measurements of Sugar Contents

Starch, glucose, fructose, and sucrose contents in root tips treated with different B levels were extracted three times with 80% (v/v) ethanol at 80 °C (3 mL each, 30 min per extraction), and determined as previously described by Han et al. [56]. Results of five biological replicates were analyzed by IBM SPSS software using univariate two-way ANOVA, followed by Sidak Post-Hoc Test.

5. Conclusions

Here, using Illumina sequencing, 37 (23 up- and 14 down-regulated) and 11 (six up- and five down-regulated) DE miRNAs were identified from B toxicity-treated C. grandis and C. sinensis roots, respectively. Among them, miR319, miR171, and miR396g-5p were confirmed by the qRT-PCR and 5′-RACE approaches to target a MYB transcription factor gene, a SCARECROW-like protein gene, and a cation transporting ATPase gene, respectively. Through integrating the current finding with previous ones, we put forward a miRNA-mediated adaptive mechanism to long-term B toxicity in Citrus roots. In summary, the miR171 family members modulated SCARECROW expression that functions in stem cell maintenance, quiescent center, and endodermis specification, allowing regular root elongation under B toxicity, whereas miR319, in intolerant C. grandis, might respond to carbohydrate starvation generated by B toxicity to the aboveground parts, reducing MYB expression and suppressing lateral root formation, thereby limiting B absorption and upward transport, which may improve plant growth under long-term B toxicity.

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/1422-0067/20/6/1422/s1. Dataset S1: miRNAs identified in B treated Citrus roots. Dataset S2: Differentially expressed miRNAs in B treated Citrus roots. Dataset S3: Candidate targets predicted from DE miRNAs. Table S1: Specific primers for miRNAs stem-loop qRT-PCR. Table S2: Specific primers for qRT-PCR of miRNA targets. Table S3: Specific primers for 5′-RACE PCR of miRNA targets. Supplementary Methods: QRT-PCR of differentially expressed miRNAs and candidate targets. Supplementary Figures: Figure S1–S4.

Author Contributions

Conceptualization, J.-H.H. and L.-S.C.; Data curation, J.-H.H., G.-C.F., and L.-S.C.; Formal analysis, J.-H.H. and X.-J.L.; Funding acquisition, J.-H.H; Investigation, J.-H.H. and L.-Y.Z.; Methodology, L.-Y.Z.; Project administration, L.-S.C.; Resources, X.-J.L. and X.-D.W.; Validation, G.-C.F.; Visualization, J.-H.H. and L.-S.C.; Writing—original draft, J.-H.H.; Writing—review and editing, J.-H.H. and L.-S.C.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 31701901, National Key R & D Program of China, grant number 2017YFD0202000, Provincial Natural Science Foundation of Fujian, grant number 2016J01122, Research Project of FAAS, grant number AB2017-3 and AC2017-4, and Youth Talent Plan of FAAS, grant number YC2016-3.

Conflicts of Interest

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

Abbreviations

BBoron
DEDifferentially expressed
MYBMyeloblastosis
PCDProgrammed cell death
RACERapid-amplification of cDNA ends

References

  1. Durbak, A.R.; Phillips, K.A.; Pike, S.; O’Neill, M.A.; Mares, J.; Gallavotti, A.; Malcomber, S.T.; Gassmann, W.; McSteen, P. Transport of boron by the tassel-less1 aquaporin is critical for vegetative and reproductive development in maize. Plant Cell 2014, 26, 2978–2995. [Google Scholar] [CrossRef] [PubMed]
  2. Chatterjee, M.; Tabi, Z.; Galli, M.; Malcomber, S.; Buck, A.; Muszynski, M.; Gallavotti, A. The boron efflux transporter ROTTEN EAR is required for maize inflorescence development and fertility. Plant Cell 2014, 26, 2962–2977. [Google Scholar] [CrossRef]
  3. Princi, M.P.; Lupini, A.; Araniti, F.; Longo, C.; Mauceri, A.; Sunseri, F.; Abenavoli, M.R. Boron Toxicity and Tolerance in Plants; Elsevier Inc.: Amsterdam, The Netherlands, 2016; pp. 115–147. [Google Scholar]
  4. Marschner, H. Diagnosis of deficiency and toxicity of mineral nutrients. In Mineral Nutrition of Higher Plants; Academic Press: London, UK, 1995; pp. 461–479. [Google Scholar]
  5. Nable, R.O.; Bañuelos, G.S.; Paull, J.G. Boron toxicity. Plant Soil 1997, 193, 181–198. [Google Scholar] [CrossRef]
  6. Martinez-Cuenca, M.R.; Martinez-Alcantara, B.; Quinones, A.; Ruiz, M.; Iglesias, D.J.; Primo-Millo, E.; Forner-Giner, M.A. Physiological and molecular responses to excess boron in Citrus macrophylla W. PLoS ONE 2015, 10, e0134372. [Google Scholar] [CrossRef] [PubMed]
  7. Papadakis, I.E.; Dimassi, K.N.; Bosabalidis, A.M.; Therios, I.N.; Patakas, A.; Giannakoula, A. Effects of B excess on some physiological and anatomical parameters of ‘Navelina’ orange plants grafted on two rootstocks. Environ. Exp. Bot. 2004, 51, 247–257. [Google Scholar] [CrossRef]
  8. Huang, J.-H.; Cai, Z.-J.; Wen, S.-X.; Guo, P.; Ye, X.; Lin, G.-Z.; Chen, L.-S. Effects of boron toxicity on root and leaf anatomy in two Citrus species differing in boron tolerance. Trees 2014, 28, 1653–1666. [Google Scholar] [CrossRef]
  9. Li, Y.; Han, M.Q.; Lin, F.; Ten, Y.; Lin, J.; Zhu, D.H.; Guo, P.; Weng, Y.B.; Chen, L.S. Soil chemical properties, ‘Guanximiyou’ pummelo leaf mineral nutrient status and fruit quality in the southern region of Fujian province, China. J. Soil Sci. Plant Nutr. 2015, 15, 615–628. [Google Scholar] [CrossRef]
  10. Reid, R.J.; Hayes, J.E.; Post, A.; Stangoulis, J.C.R.; Graham, R.D. A critical analysis of the causes of boron toxicity in plants. Plant Cell Environ. 2004, 27, 1405–1414. [Google Scholar] [CrossRef] [Green Version]
  11. Aquea, F.; Federici, F.; Moscoso, C.; Vega, A.; Jullian, P.; Haseloff, J.; Arce-Johnson, P. A molecular framework for the inhibition of Arabidopsis root growth in response to boron toxicity. Plant Cell Environ. 2012, 35, 719–734. [Google Scholar] [CrossRef]
  12. Papadakis, I.E.; Dimassi, K.N.; Therios, I.N.; Papadakis, I.E.; Dimassi, K.N.; Therios, I.N. Response of two citrus genotypes to six boron concentrations: Concentration and distribution of nutrients, total absorption, and nutrient use efficiency. Aust. J. Agric. Res. 2003, 54, 571–580. [Google Scholar] [CrossRef]
  13. Sang, W.; Huang, Z.R.; Yang, L.T.; Guo, P.; Ye, X.; Chen, L.S. An investigation of boron-toxicity in leaves of two citrus species differing in boron-tolerance using comparative proteomics. J. Proteom. 2015, 123, 128–146. [Google Scholar] [CrossRef]
  14. Guo, P.; Qi, Y.P.; Yang, L.T.; Ye, X.; Jiang, H.X.; Huang, J.H.; Chen, L.S. cDNA-AFLP analysis reveals the adaptive responses of citrus to long-term boron-toxicity. BMC Plant Biol. 2014, 14, 284. [Google Scholar] [CrossRef]
  15. Llave, C.; Xie, Z.; Kasschau, K.D.; Carrington, J.C. Cleavage of Scarecrow-like mRNA targets directed by a class of Arabidopsis miRNA. Science 2002, 297, 2053–2056. [Google Scholar] [CrossRef]
  16. Li, S.; Liu, L.; Zhuang, X.; Yu, Y.; Liu, X.; Cui, X.; Ji, L.; Pan, Z.; Cao, X.; Mo, B.; et al. MicroRNAs inhibit the translation of target mRNAs on the endoplasmic reticulum in Arabidopsis. Cell 2013, 153, 562–574. [Google Scholar] [CrossRef]
  17. Lu, Y.B.; Yang, L.T.; Qi, Y.P.; Li, Y.; Li, Z.; Chen, Y.B.; Huang, Z.R.; Chen, L.S. Identification of boron-deficiency-responsive microRNAs in Citrus sinensis roots by Illumina sequencing. BMC Plant Biol. 2014, 14, 123. [Google Scholar] [CrossRef]
  18. Ozhuner, E.; Eldem, V.; Ipek, A.; Okay, S.; Sakcali, S.; Zhang, B.; Boke, H.; Unver, T. Boron stress responsive microRNAs and their targets in barley. PLoS ONE 2013, 8, e59543. [Google Scholar] [CrossRef]
  19. Huang, J.H.; Qi, Y.P.; Wen, S.X.; Guo, P.; Chen, X.M.; Chen, L.S. Illumina microRNA profiles reveal the involvement of miR397a in Citrus adaptation to long-term boron toxicity via modulating secondary cell-wall biosynthesis. Sci. Rep. 2016, 6, 22900. [Google Scholar] [CrossRef]
  20. Axtell, M.J.; Snyder, J.A.; Bartel, D.P. Common functions for diverse small RNAs of land plants. Plant Cell 2007, 19, 1750–1769. [Google Scholar] [CrossRef]
  21. Zhu, Q.H.; Spriggs, A.; Matthew, L.; Fan, L.; Kennedy, G.; Gubler, F.; Helliwell, C. A diverse set of microRNAs and microRNA-like small RNAs in developing rice grains. Genome Res. 2008, 18, 1456–1465. [Google Scholar] [CrossRef]
  22. Pobezinsky, L.A.; Etzensperger, R.; Jeurling, S.; Alag, A.; Kadakia, T.; McCaughtry, T.M.; Kimura, M.Y.; Sharrow, S.O.; Guinter, T.I.; Feigenbaum, L.; et al. Let-7 microRNAs target the lineage-specific transcription factor PLZF to regulate terminal NKT cell differentiation and effector function. Nat. Immunol. 2015, 16, 517. [Google Scholar] [CrossRef]
  23. Moldovan, D.; Spriggs, A.; Yang, J.; Pogson, B.J.; Dennis, E.S.; Wilson, I.W. Hypoxia-responsive microRNAs and trans-acting small interfering RNAs in Arabidopsis. J. Exp. Bot. 2010, 61, 165–177. [Google Scholar] [CrossRef] [PubMed]
  24. Seo, P.J.; Xiang, F.; Qiao, M.; Park, J.Y.; Lee, Y.N.; Kim, S.G.; Lee, Y.H.; Park, W.J.; Park, C.M. The MYB96 transcription factor mediates abscisic acid signaling during drought stress response in Arabidopsis. Plant Physiol. 2009, 151, 275–289. [Google Scholar] [CrossRef] [PubMed]
  25. Xing, L.; Zhao, Y.; Gao, J.; Xiang, C.; Zhu, J.K. The ABA receptor PYL9 together with PYL8 plays an important role in regulating lateral root growth. Sci. Rep. 2016, 6, 27177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Shin, R.; Burch, A.Y.; Huppert, K.A.; Tiwari, S.B.; Murphy, A.S.; Guilfoyle, T.J.; Schachtman, D.P. The Arabidopsis transcription factor MYB77 modulates auxin signal transduction. Plant Cell 2007, 19, 2440–2453. [Google Scholar] [CrossRef]
  27. Romano, J.M.; Dubos, C.; Prouse, M.B.; Wilkins, O.; Hong, H.; Poole, M.; Kang, K.Y.; Li, E.; Douglas, C.J.; Western, T.L.; et al. AtMYB61, an R2R3-MYB transcription factor, functions as a pleiotropic regulator via a small gene network. New Phytol. 2012, 195, 774–786. [Google Scholar] [CrossRef] [PubMed]
  28. Gibbs, D.J.; Voss, U.; Harding, S.A.; Fannon, J.; Moody, L.A.; Yamada, E.; Swarup, K.; Nibau, C.; Bassel, G.W.; Choudhary, A.; et al. AtMYB93 is a novel negative regulator of lateral root development in Arabidopsis. New Phytol. 2014, 203, 1194–1207. [Google Scholar] [CrossRef] [PubMed]
  29. Papadakis, I.E.; Dimassi, K.N.; Bosabalidis, A.M.; Therios, I.N.; Patakas, A.; Giannakoula, A. Boron toxicity in ‘Clementine’ mandarin plants grafted on two rootstocks. Plant Sci. 2004, 166, 539–547. [Google Scholar] [CrossRef]
  30. Guo, P.; Qi, Y.P.; Yang, L.T.; Ye, X.; Huang, J.H.; Chen, L.S. Long-term boron-excess-induced alterations of gene profiles in roots of two citrus species differing in boron-tolerance revealed by cDNA-AFLP. Front. Plant Sci. 2016, 7, 898. [Google Scholar] [CrossRef]
  31. Sang, W.; Huang, Z.R.; Qi, Y.P.; Yang, L.T.; Guo, P.; Chen, L.S. Effects of high toxic boron concentration on protein profiles in roots of two Citrus species differing in boron-tolerance revealed by a 2-DE based MS approach. Front. Plant Sci. 2017, 8, 180. [Google Scholar] [CrossRef]
  32. Xu, Z.; Zhong, S.; Li, X.; Li, W.; Rothstein, S.J.; Zhang, S.; Bi, Y.; Xie, C. Genome-wide identification of microRNAs in response to low nitrate availability in maize leaves and roots. PLoS ONE 2011, 6, e28009. [Google Scholar] [CrossRef]
  33. Colaiacovo, M.; Subacchi, A.; Bagnaresi, P.; Lamontanara, A.; Cattivelli, L.; Faccioli, P. A computational-based update on microRNAs and their targets in barley (Hordeum vulgare L.). BMC Genom. 2010, 11, 595. [Google Scholar] [CrossRef]
  34. Liang, G.; Yang, F.; Yu, D. MicroRNA395 mediates regulation of sulfate accumulation and allocation in Arabidopsis thaliana. Plant J. 2010, 62, 1046–1057. [Google Scholar] [CrossRef]
  35. Ergle, D.R. Effect of low nitrogen and sulfur supply on their accumulation in the cotton plant. Bot. Gaz. 1953, 114, 417–426. [Google Scholar] [CrossRef]
  36. Fismes, J.; Vong, P.C.; Guckert, A.; Frossard, E. Influence of sulfur on apparent N-use efficiency, yield and quality of oilseed rape (Brassica napus L.) grown on a calcareous soil. Eur. J. Agron. 2000, 12, 127–141. [Google Scholar] [CrossRef]
  37. Castillo, M.C.; Leon, J. Expression of the beta-oxidation gene 3-ketoacyl-CoA thiolase 2 (KAT2) is required for the timely onset of natural and dark-induced leaf senescence in Arabidopsis. J. Exp. Bot. 2008, 59, 2171–2179. [Google Scholar] [CrossRef]
  38. Achard, P.; Herr, A.; Baulcombe, D.C.; Harberd, N.P. Modulation of floral development by a gibberellin-regulated microRNA. Development 2004, 131, 3357–3365. [Google Scholar] [CrossRef]
  39. Schwab, R.; Palatnik, J.F.; Riester, M.; Schommer, C.; Schmid, M.; Weigel, D. Specific effects of microRNAs on the plant transcriptome. Dev. Cell 2005, 8, 517–527. [Google Scholar] [CrossRef]
  40. Palatnik, J.F.; Allen, E.; Wu, X.; Schommer, C.; Schwab, R.; Carrington, J.C.; Weigel, D. Control of leaf morphogenesis by microRNAs. Nature 2003, 425, 257. [Google Scholar] [CrossRef]
  41. Palatnik, J.F.; Wollmann, H.; Schommer, C.; Schwab, R.; Boisbouvier, J.; Rodriguez, R.; Warthmann, N.; Allen, E.; Dezulian, T.; Huson, D.; et al. Sequence and expression differences underlie functional specialization of Arabidopsis microRNAs miR159 and miR319. Dev. Cell 2007, 13, 115–125. [Google Scholar] [CrossRef]
  42. Zhang, F.; Wang, L.; Lim, J.Y.; Kim, T.; Pyo, Y.; Sung, S.; Shin, C.; Qiao, H. Phosphorylation of CBP20 links microRNA to root growth in the ethylene response. PLoS Genet. 2016, 12, e1006437. [Google Scholar] [CrossRef]
  43. Hsieh, L.C.; Lin, S.I.; Shih, A.C.; Chen, J.W.; Lin, W.Y.; Tseng, C.Y.; Li, W.H.; Chiou, T.J. Uncovering small RNA-mediated responses to phosphate deficiency in Arabidopsis by deep sequencing. Plant Physiol. 2009, 151, 2120–2132. [Google Scholar] [CrossRef]
  44. Addo-Quaye, C.; Eshoo, T.W.; Bartel, D.P.; Axtell, M.J. Endogenous siRNA and miRNA targets identified by sequencing of the Arabidopsis degradome. Curr. Biol. 2008, 18, 758–762. [Google Scholar] [CrossRef]
  45. Di Laurenzio, L.; Diller, J.; Malamy, J.; Pysh, L.; Helariutta, Y.; Freshour, G.; Hahn, M.; Feldmann, K.; Benfey, P. The SCARECROW gene regulates an asymmetric cell division that is essential for generating the radial organization of the Arabidopsis root. Cell 1996, 86, 423–433. [Google Scholar] [CrossRef]
  46. Cui, H.; Levesque, M.P.; Vernoux, T.; Jung, J.W.; Paquette, A.J.; Gallagher, K.L.; Wang, J.Y.; Blilou, I.; Scheres, B.; Benfey, P.N. An Evolutionarily conserved mechanism delimiting SHR movement defines a single layer of endodermis in plants. Science 2007, 316, 421–425. [Google Scholar] [CrossRef]
  47. Lynch, J.P. Root Architecture and Nutrient Acquisition. In Nutrient Acquisition by Plants; BassiriRad, H., Ed.; Springer: Berlin, Germany, 2015; pp. 147–183. [Google Scholar]
  48. Ruiz, M.; Quinones, A.; Martinez-Alcantara, B.; Aleza, P.; Morillon, R.; Navarro, L.; Primo-Millo, E.; Martinez-Cuenca, M.R. Tetraploidy enhances boron-excess tolerance in Carrizo Citrange (Citrus sinensis L. Osb. x Poncirus trifoliata L. Raf.). Front. Plant Sci. 2016, 7, 701. [Google Scholar] [CrossRef]
  49. Dubos, C.; Willment, J.; Huggins, D.; Grant, G.H.; Campbell, M.M. Kanamycin reveals the role played by glutamate receptors in shaping plant resource allocation. Plant J. 2005, 43, 348–355. [Google Scholar] [CrossRef] [Green Version]
  50. Newman, L.J.; Perazza, D.E.; Juda, L.; Campbell, M.M. Involvement of the R2R3-MYB, AtMYB61, in the ectopic lignification and dark-photomorphogenic components of the det3 mutant phenotype. Plant J. 2004, 37, 239–250. [Google Scholar] [CrossRef]
  51. Pornaro, C.; Macolino, S.; Menegon, A.; Richardson, M. WinRHIZO technology for measuring morphological traits of Bermudagrass stolons. Agron. J. 2017, 109, 3007. [Google Scholar] [CrossRef]
  52. Anders, S.; Huber, W. Differential expression analysis for sequence count data. Genome Biol. 2010, 11, R106. [Google Scholar] [CrossRef]
  53. Allen, E.; Xie, Z.; Gustafson, A.M.; Carrington, J.C. microRNA-directed phasing during trans-acting siRNA biogenesis in plants. Cell 2005, 121, 207–221. [Google Scholar] [CrossRef]
  54. Xie, R.; Zhang, J.; Ma, Y.; Pan, X.; Dong, C.; Pang, S.; He, S.; Deng, L.; Yi, S.; Zheng, Y.; et al. Combined analysis of mRNA and miRNA identifies dehydration and salinity responsive key molecular players in citrus roots. Sci. Rep. 2017, 7, 42094. [Google Scholar] [CrossRef] [Green Version]
  55. Song, C.; Wang, C.; Zhang, C.; Korir, N.K.; Yu, H.; Ma, Z.; Fang, J. Deep sequencing discovery of novel and conserved microRNAs in trifoliate orange (Citrus trifoliata). BMC Genom. 2010, 11, 431. [Google Scholar] [CrossRef]
  56. Han, S.; Chen, L.S.; Jiang, H.X.; Smith, B.R.; Yang, L.T.; Xie, C.Y. Boron deficiency decreases growth and photosynthesis, and increases starch and hexoses in leaves of citrus seedlings. J. Plant Physiol. 2008, 165, 1331–1341. [Google Scholar] [CrossRef]
Figure 1. B toxicity affected Citrus root architecture. (A) Boron (B)-treated C. sinensis roots, (B) B-treated C. grandis roots, (C) determination of root traits. Results represent mean ± SD (n = 8 and 5 for C. grandis and C. sinensis, respectively). Different letters above columns indicate significant difference at p < 0.05 according to independent sample t-test.
Figure 1. B toxicity affected Citrus root architecture. (A) Boron (B)-treated C. sinensis roots, (B) B-treated C. grandis roots, (C) determination of root traits. Results represent mean ± SD (n = 8 and 5 for C. grandis and C. sinensis, respectively). Different letters above columns indicate significant difference at p < 0.05 according to independent sample t-test.
Ijms 20 01422 g001
Figure 2. Relative abundance of microRNAs (miRNAs) between control and B toxicity in C. sinensis (A) and C. grandis (B) root tips. microRNA levels in control and B-toxic root tips were determined using stem-loop qRT-PCR. Results represent mean ± SD (n = 3). “*”, “**”, and “***” indicate significant difference at p < 0.05, 0.01, and 0.001 level, respectively, according to independent sample t-test.
Figure 2. Relative abundance of microRNAs (miRNAs) between control and B toxicity in C. sinensis (A) and C. grandis (B) root tips. microRNA levels in control and B-toxic root tips were determined using stem-loop qRT-PCR. Results represent mean ± SD (n = 3). “*”, “**”, and “***” indicate significant difference at p < 0.05, 0.01, and 0.001 level, respectively, according to independent sample t-test.
Ijms 20 01422 g002
Figure 3. qRT-PCR expression profiles and modified 5′-RACE validation of the mRNA targets. (A), Ciclev10000756m.g.v1.0, (B), Ciclev10018916m.g.v1.0, and (C), Ciclev10003452m.g.v1.0. Cleavage sites (vertical arrows) of targeted mRNA were determined by RLM-5′-RACE, and the frequencies of clones were shown.
Figure 3. qRT-PCR expression profiles and modified 5′-RACE validation of the mRNA targets. (A), Ciclev10000756m.g.v1.0, (B), Ciclev10018916m.g.v1.0, and (C), Ciclev10003452m.g.v1.0. Cleavage sites (vertical arrows) of targeted mRNA were determined by RLM-5′-RACE, and the frequencies of clones were shown.
Ijms 20 01422 g003
Figure 4. Inferred phylogenetic tree (maximum-likelihood) of full-length AtMYB proteins identified in A. thaliana and Ciclev10000756m.g.v1.0. Protein IDs used in the initial sequence alignment were obtained from the GenBank and the clementina genome, respectively.
Figure 4. Inferred phylogenetic tree (maximum-likelihood) of full-length AtMYB proteins identified in A. thaliana and Ciclev10000756m.g.v1.0. Protein IDs used in the initial sequence alignment were obtained from the GenBank and the clementina genome, respectively.
Ijms 20 01422 g004
Figure 5. Effects of B toxicity on starch (A), fructose (B), glucose (C), and sucrose (D) contents in citrus roots. Results represent means ± SE (n = 6).
Figure 5. Effects of B toxicity on starch (A), fructose (B), glucose (C), and sucrose (D) contents in citrus roots. Results represent means ± SE (n = 6).
Ijms 20 01422 g005
Table 1. Annotation of sRNAs from Citrus root tips treated with sufficient and toxic level of B.
Table 1. Annotation of sRNAs from Citrus root tips treated with sufficient and toxic level of B.
C. grandisC. sinensis
B-Toxic TreatedControlB-Toxic TreatedControl
Replicate 1Replicate 2Replicate 3Replicate 1Replicate 2Replicate 3Replicate 1Replicate 2Replicate 3Replicate 1Replicate 2Replicate 3
Clean read counts17,034,95713,517,77412,734,47720,753,60117,185,77016,082,62612,685,52914,237,04715,683,58611,708,01213,599,50213,102,318
rRNA41.27%47.68%44.15%43.45%34.82%44.06%46.80%42.51%45.47%50.73%42.24%53.03%
scRNA0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
snRNA0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
snoRNA0.18%0.16%0.17%0.11%0.17%0.18%0.14%0.17%0.20%0.14%0.17%0.13%
tRNA2.88%2.65%3.26%2.84%2.92%2.45%2.74%2.70%3.34%3.00%3.10%2.93%
Repbase0.07%0.07%0.09%0.06%0.07%0.08%0.08%0.08%0.12%0.08%0.08%0.08%
Unannotated55.60%49.44%52.33%53.54%62.02%53.23%50.24%54.53%50.87%46.05%54.42%43.84%
Table 2. Relative expressions of predicted miRNA targets in B-toxic treated Citrus root tips by qRT-PCR.
Table 2. Relative expressions of predicted miRNA targets in B-toxic treated Citrus root tips by qRT-PCR.
miRNAsTarget IDAnnotationRelative Expression (Mean ± SD)
C. sinensisC. grandis
miR156Ciclev10032171m.g.v1.0GTPase domain1.15 ± 0.551.39 ± 1.23
Ciclev10031270m.g.v1.0SBP domain0.80 ± 0.19 *0.91 ± 0.18
Ciclev10031391m.g.v1.0SBP domain0.58 ± 0.39 *0.72 ± 0.59
Ciclev10020532m.g.v1.0SBP domain0.54 ± 0.43 *0.96 ± 1.26
Ciclev10031834m.g.v1.0SBP domain0.57 ± 0.38 *1.54 ± 1.40
Ciclev10011938m.g.v1.0SBP domain0.47 ± 0.41 *1.05 ± 0.45
Ciclev10004527m.g.v1.0Protein kinase domain0.88 ± 0.40 *0.84 ± 0.46
miR171Ciclev10019083m.g.v1.0SCARECROW-like protein1.09 ± 0.321.44 ± 0.50
Ciclev10019094m.g.v1.0SCARECROW-like protein1.27 ± 0.24 *1.25 ± 0.42
Ciclev10018916m.g.v1.0SCARECROW-like protein1.36 ± 0.781.44 ± 0.87
miR319Ciclev10014986m.g.v1.0TCP (TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR) transcription factor1.57 ± 0.950.97 ± 0.70
miR319/miR159Ciclev10000756m.g.v1.0MYB transcription factor1.32 ± 0.860.40 ± 0.22 *
miR3951Ciclev10028368m.g.v1.0Leucine rich repeats0.89 ± 0.50 0.90 ± 0.65
miR396g-5pCiclev10019529m.g.v1.0WRC (Trp–Arg–Cys) growth-regulating factor 31.29 ± 0.91 2.17 ± 1.42
Ciclev10003452m.g.v1.0Cation transporting ATPase1.32 ± 0.950.33 ± 0.26 *
miR398Ciclev10009458m.g.v1.0Plastocyanin-like domain3.33 ± 2.35 *1.52 ± 0.98
Note: All the values were expressed relative to the control. “*” indicates a significant difference at p < 0.05 level, according to independent sample t-test. MYB is myeloblastosis.

Share and Cite

MDPI and ACS Style

Huang, J.-H.; Lin, X.-J.; Zhang, L.-Y.; Wang, X.-D.; Fan, G.-C.; Chen, L.-S. MicroRNA Sequencing Revealed Citrus Adaptation to Long-Term Boron Toxicity through Modulation of Root Development by miR319 and miR171. Int. J. Mol. Sci. 2019, 20, 1422. https://doi.org/10.3390/ijms20061422

AMA Style

Huang J-H, Lin X-J, Zhang L-Y, Wang X-D, Fan G-C, Chen L-S. MicroRNA Sequencing Revealed Citrus Adaptation to Long-Term Boron Toxicity through Modulation of Root Development by miR319 and miR171. International Journal of Molecular Sciences. 2019; 20(6):1422. https://doi.org/10.3390/ijms20061422

Chicago/Turabian Style

Huang, Jing-Hao, Xiong-Jie Lin, Ling-Yuan Zhang, Xian-Da Wang, Guo-Cheng Fan, and Li-Song Chen. 2019. "MicroRNA Sequencing Revealed Citrus Adaptation to Long-Term Boron Toxicity through Modulation of Root Development by miR319 and miR171" International Journal of Molecular Sciences 20, no. 6: 1422. https://doi.org/10.3390/ijms20061422

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

Article Metrics

Back to TopTop