Summary
MicroRNAs (miRNAs) play essential roles in plant development. There is increasing evidence that changed expression of miRNAs in virus‐infected plants contributes to the development of viral symptoms. Here, we analysed the altered expression of miRNAs of Nicotiana benthamiana in response to Potato virus X (PVX) by Illumina Solexa sequencing. One of the 21 miRNAs significantly affected, nbe‐miR166h‐p5, was closely associated with viral symptoms. Using the Tobacco rattle virus‐based miRNA suppression (VbMS) system, we found that the suppression of nbe‐miR166h‐p5 in plants caused leaves to turn dark green with increased chlorophyll. When PVX was inoculated on nbe‐miR166h‐p5‐suppressed plants, the leaf yellowing symptom of PVX was largely attenuated with less reduction in chlorophyll content, and the accumulation of PVX was decreased. nbe‐miR166h‐p5 was also up‐regulated in plants infected by Turnip mosaic virus (TuMV), and its suppression attenuated the leaf yellowing symptom of TuMV and decreased viral accumulation. Three potential targets of nbe‐miR166h‐p5 were identified. The results indicate the association of nbe‐miR166h‐p5 with symptoms of PVX and also with those of TuMV, providing useful information on the relationship between miRNA and viral infection.
Keywords: chlorophyll, leaf yellowing, miRNA, nbe‐miR166h‐p5, Potato virus X
Introduction
MicroRNAs (miRNAs) are small, 19–24‐nucleotide RNAs that play essential roles in eukaryotes by targeting complementary mRNAs for degradation or translational repression (Bologna and Voinnet, 2014; Cui et al., 2017). In plants, miRNAs regulate leaf morphogenesis, the development of roots and flowers, and other key processes (Chen, 2004; Guo et al., 2005; Jones‐Rhoades et al., 2006; Kidner and Martienssen, 2005; Palatnik et al., 2003; Wang et al., 2005). They also function in plant defence against pathogens, either by targeting the resistance gene of the plant or the pathogenesis gene of the pathogen, or by regulating the resistance pathway (Jin, 2008; Katiyar‐Agarwal and Jin, 2010; Li et al., 2012; Llave, 2004; Lu et al., 2008; Navarro et al., 2006; Padmanabhan et al., 2009; Ruiz‐Ferrer and Voinnet, 2009; Shivaprasad et al., 2012; Zhang et al., 2006).
Viruses are economically important plant pathogens that typically cause symptoms of yellowing, mosaic, twisting and even necrosis of leaves, and plant death in many cases. Studies with many different viruses have shown that virus‐infected plants generally have a changed expression profile of miRNAs (Abreu et al., 2014; Amin et al., 2011; Bazzini et al., 2011; Chen et al., 2012, 2016; Cillo et al., 2009; Du et al., 2011; Feng et al., 2009, 2014; Guo et al., 2012; Lang et al., 2011a, 2011b; Liu et al., 2015; Naqvi et al., 2010; Pradhan et al., 2015; Sun et al., 2015; Wang et al., 2015; Xu et al., 2014; Yang et al., 2016) and, in some cases, these changes are associated with viral symptoms (Gao et al., 2013; Lian et al., 2016; Romanel et al., 2012). Bazzini et al. (2007) reported that infection by various tobamoviruses, potyviruses and potexviruses changed the accumulation levels of most of the ten tested miRNAs in Nicotiana tabacum, and found that the viruses that produced the most severe symptoms on tobacco (Tobacco mosaic virus and Tomato mosaic virus) altered miRNA accumulation to a greater extent than viruses that produced mild symptoms [Tobacco etch virus and Potato virus Y (PVY)]. A correlation between symptom severity and levels of certain miRNAs also occurred in experiments using two synergistic viruses. Single infections produced mild symptoms, but double infection by Potato virus X (PVX) and either PVY or Plum pox virus (PPV) produced more severe symptoms in Nicotiana benthamiana and had a greater effect on the accumulation levels of miR156, miR171, miR398 and miR168 (Pacheco et al., 2012).
However, despite this well‐established correlation, there is little direct experimental evidence linking changed expression of particular miRNAs to viral symptoms (Gao et al., 2013; Lian et al., 2016; Romanel et al., 2012). Recently, we reported that a reduction in osa‐miR171b in Rice stripe virus (RSV)‐infected rice contributed to RSV symptoms (Tong et al., 2017). Here, we investigated the altered expression of miRNAs in PVX‐infected N. benthamiana through Illumina Solexa sequencing and identified an up‐regulated miRNA, named nbe‐miR166h‐p5, which was associated with a reduction in chlorophyll. Its suppression attenuated leaf yellowing on PVX‐infected plants.
Results
Leaf yellowing and decreased chlorophyll content of PVX‐infected N. benthamiana
At 8 days post‐inoculation (dpi) of PVX onto 3‐week‐old healthy N. benthamiana plants, PVX symptoms were fully developed on the upper leaves which showed yellowing and slight twisting (Fig. 1A). PVX RNAs were detectable in these symptomatic leaves, but not in those of mock‐inoculated control plants (Fig. 1B). As expected, the yellowed leaves contained significantly less chlorophyll than the controls (Fig. 1C).
Altered expression of miRNAs in PVX‐infected N. benthamiana leaves
Illumina Solexa sequencing was then used to analyse the global response of miRNAs to PVX infection. Samples of the top leaves were collected from three separate plants of both inoculated and control treatments at 6 dpi, when the systemic symptoms began to appear. After removal of the junk, adapter and repeat reads, more than three million unique clean reads were obtained from each of the six libraries. An overview of the deep sequencing results is presented in Table 1.
Table 1.
PVX1 | PVX2 | PVX3 | Mock1 | Mock2 | Mock3 | |
---|---|---|---|---|---|---|
Raw reads | 11 110 037 | 12 235 011 | 10 307 223 | 14 270 284 | 14 445 774 | 13 100 005 |
Uniq raw reads | 5 646 189 | 6 619 686 | 5 223 220 | 5 445 626 | 5 500 181 | 5 310 888 |
Clean reads | 7 010 635 | 8 969 507 | 6 604 080 | 6 810 281 | 6 972 374 | 6 186 027 |
Uniq clean reads | 4 240 384 | 5 203 739 | 3 982 951 | 3 829 266 | 3 801 670 | 3 793 954 |
A total of 2554 small RNAs was identified to have the same sequence as miRNAs from 67 different plant species, indicating the conservation of miRNAs among different plants (Table S1, see Supporting Information). From N. tabacum, 164 miRNAs belonging to 53 families have been deposited in the miRNA database (https://www.mirbase.org). Our N. benthamiana libraries contained homologues of 86 of these N. tabacum miRNAs without mismatch in sequence (Table S2, see Supporting Information). Of these 86 conserved miRNAs, 21 showed significantly altered expression (P < 0.05) after PVX infection, 17 being up‐regulated and four down‐regulated (Table 2).
Table 2.
miRNA name | miRNA sequence | PVX1 | PVX2 | PVX3 | Mock1 | Mock2 | Mock3 |
---|---|---|---|---|---|---|---|
nta‐MIR396a‐p3 | GCTGTGGGAAGATACAGATAG | 16 | 16 | 14 | 0 | 0 | 2 |
nta‐MIR6019a‐p3 | ACATTTACACGTACCTTGTATG | 717 | 833 | 747 | 165 | 101 | 127 |
nta‐MIR396c‐p3 | GTTCAAGAAAGCTGTGGGAAA | 1041 | 1196 | 1031 | 318 | 370 | 475 |
nta‐MIR6147‐p3 | GTGGGTATTGAAGATGTTATG | 445 | 596 | 557 | 103 | 137 | 158 |
nta‐MIR159‐p5 | GAGCTCCTTGAAGTCCAACAG | 4039 | 4184 | 3239 | 970 | 763 | 946 |
nta‐MIR6161a‐p3 | TATTATGCTGGACCGGTATACT | 652 | 708 | 602 | 489 | 454 | 494 |
nta‐MIR160c‐p3 | GCGTGCGAGGAGCCAAGCATA | 148 | 217 | 162 | 25 | 20 | 23 |
nta‐miR6155 | TAAGGTTGCCTTGCTCTTGCA | 1878 | 2028 | 2154 | 2395 | 2617 | 2799 |
nta‐MIR167d‐p3 | GATCATGTGGTAGCTTCACC | 2943 | 2101 | 2734 | 1231 | 706 | 1684 |
nta‐miR169a | CAGCCAAGGATGACTTGCCGA | 193 | 240 | 195 | 116 | 122 | 111 |
nta‐MIR166d‐p5 | GGAATGTTGTCTGGCTCGAGG | 4924 | 5371 | 3169 | 460 | 383 | 915 |
nta‐miR6151f | TGAGTGTGAGGCATTGGATTGA | 16 | 16 | 26 | 40 | 37 | 29 |
nta‐MIR166b‐p5 | TGGCTCGAAGCCATTATCTCC | 1 | 1 | 1 | 0 | 0 | 0 |
nta‐MIR166h‐p5 | GGAATGTTGTTTGGCTCGAGG | 921 | 1022 | 595 | 163 | 101 | 221 |
nta‐MIR172d‐p5 | GTAGCATCATCAAGATTCACA | 1727 | 2359 | 1782 | 940 | 1328 | 1036 |
nta‐miR168d | TCGCTTGGTGCAGGTCGGGAA | 1304 | 1769 | 1294 | 821 | 662 | 992 |
nta‐miR6153 | TAGGACCATATTCACTATTTG | 681 | 807 | 938 | 1008 | 1280 | 1126 |
nta‐MIR166g‐p5 | AGAATGTTGTCTGGTTCGTGA | 15 | 20 | 11 | 4 | 3 | 5 |
nta‐miR6151a | TGAATGTGAGGCATTGGATTGA | 0 | 1 | 1 | 4 | 2 | 5 |
nta‐MIR171c‐p5 | TATTGGCCTGGTTCACTCAGA | 1258 | 1789 | 1209 | 729 | 556 | 763 |
nta‐MIR160a‐p3 | GCGTATGAGGAGCCAAGCATA | 1143 | 1899 | 1012 | 110 | 114 | 143 |
Suppression of nbe‐miR166h‐p5 attenuates the leaf yellowing symptoms of PVX
One of the miRNAs that was up‐regulated in PVX‐infected N. benthamiana plants was nbe‐miR166h‐p5, a homologue of N. tabacum miR166h‐p5 (nta‐miR166h‐p5) with no mismatch in sequence. It is known that nta‐miR166h‐p5 is produced from the 5′ end of the precursor nta‐MIR166h and is the miRNA* of nta‐miR166h (Fig. 1D). The predicted precursor of nbe‐miR166h was exactly the same as that of nta‐MIR166h, indicating the conservation of this miRNA (Fig. S1, see Supporting Information). The changed expression level of nbe‐miR166h‐p5 in PVX‐infected plants was confirmed by quantitative reverse transcription‐polymerase chain reaction (qRT‐PCR), which indicated that it was up‐regulated about 14‐fold (Fig. 1F). In further experiments, it was found that the expression levels of the complementary nbe‐miR166h and the precursor nbe‐MIR166h were not altered significantly in PVX‐infected plants (Fig. 1G,H). This possibly indicates that additional nbe‐miR166h‐p5 was specifically produced from its precursor in PVX‐infected plants, or that the steady‐state level of nbe‐miR166h‐p5 was enhanced in PVX‐infected plants.
To investigate the association of nbe‐miR166h‐p5 with PVX infection, the expression of this miRNA was suppressed using the Tobacco rattle virus (TRV)‐based miRNA suppression (VbMS) system (Yan et al., 2014), and the progress of PVX infection was monitored. For VbMS, a target mimic (TM) sequence that would sequester nbe‐miR166h‐p5 was designed according to the methods described previously and introduced into the TRV vector, producing TRV:TM (Yan et al., 2014). TRV:TM or TRV:00 (empty vector control) was inoculated onto plants by agroinfiltration. Fourteen days later, the only obvious difference in phenotype between TRV:TM and control plants was that leaves of TRV:TM‐treated plants were darker green (Fig. 2A). The chlorophyll content of TRV:TM‐treated leaves was significantly higher than in control leaves (Fig. 2B). Using qRT‐PCR, it was confirmed that the expression of nbe‐miR166h‐p5 was suppressed in VbMS‐treated plants, to approximately 50% of its level in control plants (Fig. 2C). Further experiments showed that there was no statistically significant change in expression of nbe‐miR166h in VbMS‐treated plants (Fig. S2, see Supporting Information).
Next, PVX was inoculated onto TRV:TM‐treated and control plants after 14 days of VbMS treatment. Eight days later, control plants showed typical yellowing symptoms of PVX, but there was only a small area of yellowing on the leaves of nbe‐miR166h‐p5‐suppressed plants (Fig. 2D). Correspondingly, the chlorophyll content of nbe‐miR166h‐p5‐suppressed leaves was significantly higher than that in control leaves (Fig. 2E). At this time point, the expression level of nbe‐miR166h‐p5 in PVX‐infected TRV:TM‐treated plants was approximately 70% of that in PVX‐infected TRV:00‐treated plants, indicating that nbe‐miR166h‐p5 was still suppressed under PVX infection (Fig. 2F). Taken together, these results indicate that the suppression of nbe‐miR166h‐p5 attenuates the leaf yellowing symptoms of PVX in N. benthamiana.
Suppression of nbe‐miR166h‐p5 reduces the accumulation of PVX in N. benthamiana plants
We also detected the accumulation levels of PVX in nbe‐miR166h‐p5‐suppressed plants. At 8 dpi, both inoculated leaves and upper systemically infected leaves were sampled and used in western blotting to detect the PVX coat protein (CP) and in northern blotting to detect the viral genomic and subgenomic RNAs. PVX CP accumulated at lower levels in both inoculated and systemic leaves of suppressed plants (Fig. 2G, top part). In inoculated leaves, both PVX genomic and subgenomic RNAs were reduced, whereas, in systemic leaves, PVX genomic RNAs were not significantly reduced, but subgenomic RNAs accumulated at a much lower level compared with those in inoculated leaves (Fig. 2G, bottom part). These results suggest that the suppression of nbe‐miR166h‐p5 reduces the accumulation of PVX in N. benthamiana plants and, particularly, the accumulation of subgenomic RNAs in systemic leaves.
PVX itself has also been developed as a tool for VbMS and has a much stronger effect than TRV in suppressing miRNAs (Zhao et al., 2016). Hence, we also used the PVX‐mediated VbMS system to analyse the effect of suppression of nbe‐miR166h‐p5 on PVX accumulation. At 8 dpi, plants treated with PVX:TM (the target mimic) or PVX:00 (empty vector control) both showed viral symptoms, but the symptoms on PVX:TM plants were much milder than those on plants treated with PVX:00 (Fig. 3A). The expression of nbe‐miR166h‐p5 in VbMS‐treated plants was suppressed to 5% of the level in control plants (Fig. 3B), and the chlorophyll content of nbe‐miR166h‐p5‐suppressed leaves was significantly higher than that of the controls (Fig. 3C). Both the PVX CP and viral RNAs in PVX:TM‐treated plants were much lower than those in PVX:00‐treated plants (Fig. 3D). These results are consistent with those from TRV‐mediated VbMS, further indicating the association of nbe‐miR166h‐p5 with PVX symptoms.
Suppression of nbe‐miR166h‐p5 also attenuates symptoms and reduces viral accumulation of Turnip mosaic virus (TuMV) on N. benthamiana
To investigate whether nbe‐miR166h‐p5 was associated in a similar way with the symptoms of a different virus, we conducted similar experiments with the potyvirus TuMV. At 8 dpi, when TuMV symptoms of leaf yellowing and distortion were fully developed, the expression of nbe‐miR166h‐p5 was up‐regulated by approximately 16‐fold compared with mock‐inoculated plants (Fig. 4A, B). The chlorophyll content in TuMV‐infected leaves was also decreased significantly (Fig. 4C). When TuMV was inoculated onto TRV:TM‐treated plants with nbe‐miR166h‐p5 suppression, the leaf yellowing symptoms were milder at 8 dpi than on control plants (Fig. 4D). Correspondingly, the chlorophyll content in nbe‐miR166h‐p5‐suppressed leaves was significantly higher than that in control leaves (Fig. 4E). TuMV CP and viral RNA levels were also much lower in TRV:TM‐treated plants than in the controls (Fig. 4F–H). These results indicate that the suppression of nbe‐miR166h‐p5 also attenuates the symptoms and reduces the viral accumulation of TuMV on N. benthamiana.
Targets of nbe‐miR166h‐p5 in N. benthamiana plants
The function of miRNAs depends on the targeting of their complementary mRNAs for degradation or translational repression. The potential targets of nbe‐miR166h‐p5 have not been reported previously. Using psRNATarget (https://plantgrn.noble.org/psRNATarget/?function=1), three potential targets of nbe‐miR166h‐p5 were predicted with expectation <2.5: encoding receptor‐like kinase (RLK), auxin‐responsive SAUR protein and kinase interacting family protein (KIP) (Fig. 5A). The binding site of nbe‐miR166h‐p5 on the mRNAs of each potential target was localized at the encoding sequence (Fig. 5B). The mRNA levels of these three predicted targets were all up‐regulated in nbe‐miR166h‐p5‐suppressed plants (Fig. 5C). Consistent with these findings, the mRNA levels of RLK and SAUR were down‐regulated in PVX‐infected plants, which was expected because of the higher expression of nbe‐miR166h‐p5 (Fig. 5C). Meanwhile, the mRNA level of KIP in PVX‐infected plants was not altered significantly (Fig. 5C). We suppose that there may be other factors balancing the expression of this target. The expression levels of the three targets in leaves expressing p25, the PVX suppressor of RNA silencing, were also determined and similar results were obtained, indicating that p25 may play a role in the regulation of nbe‐miR166h and the expression of its targets (Fig. 5D).
To examine the interaction of nbe‐miR166h‐p5 with these three predicted target mRNAs, the three genes were cloned and fused with green fluorescent protein (GFP); they were then expressed by agroinfiltration, together with nbe‐miR166h‐p5 expressed by artificial miRNA, as described previously (Shi et al., 2016). At 3 dpi, GFP‐fused RLK, SAUR and KIF were expressed at a low level when co‐expressed with nbe‐miR166h‐p5, but at a high level when co‐expressed with a control miRNA (miR‐CK) (Fig. 6A). The mRNAs of GFP‐fused RLK, SAUR and KIP were also significantly decreased in cells co‐expressing nbe‐miR166h‐p5 (Fig. 6A). We also investigated the differences in transient expression of GFP‐fused RLK, SAUR and KIP between PVX:TM‐treated and PVX:00‐treated plants. GFP fluorescence on PVX:TM‐treated plants was much more intense than that on PVX:00‐treated plants (Fig. 6B), and the mRNAs and proteins of GFP‐fused RLK, SAUR and KIP accumulated to a more significant extent in PVX:TM‐treated plants (Fig. 6B). Taken together, these results confirm that RLK, SAUR and KIP could be targeted by nbe‐miR166h‐p5 for regulation.
As the suppression of nbe‐miR166h‐p5 increased the content of chlorophyll in plants, it seems reasonable to suppose that silencing of the targets might have the opposite effect. We therefore silenced RLK, SAUR and KIP individually using the TRV‐induced gene silencing system, and determined the chlorophyll content in silenced plants. No obvious phenotype was visible on silenced plants and there was no significant difference in chlorophyll content (Fig. S3, see Supporting Information).
Discussion
miRNAs play key roles in plant development and defence against pathogens. Infection by many different viruses changes the level of certain miRNAs in plants, and it is supposed that the altered miRNA profile results in viral symptoms. For PVX, it has been reported that miR160, miR164, miR166, miR168, miR169 and miR171 are up‐regulated in PVX‐infected N. tabacum (Bazzini et al., 2007; Lang et al., 2011a) and, of the ten tested miRNAs in PVX‐infected N. benthamiana, miR156, miR171, miR398 and miR168 showed altered expression levels (Pacheco et al., 2012). These results predate the availability of data based on high‐throughput small RNA sequencing which we have used in this study to provide a more comprehensive survey of the miRNAs that respond to PVX in N. benthamiana. Twenty‐one miRNAs were identified to show significant changes in expression in PVX‐infected N. benthamiana at 6 dpi. Of these 21 miRNAs, miR168, miR169 and miR171 have been reported previously to be regulated in PVX‐infected N. tabacum or N. benthamiana. The other miRNAs identified in previous studies (miR156, miR160, miR164, miR166 and miR398) did not show obviously or significantly changed expression levels in our experiments. This difference may be because our samples were collected at 6 dpi when symptoms began to appear on the top leaves of plants, which was earlier than in the previously reported studies. More detailed data are needed to understand how individual miRNA expression levels change during the time course of PVX infection.
miR166h‐p5 is produced from the 5′ arm of the MIR166h precursor and is significantly up‐regulated in PVX‐infected N. benthamiana plants. This miRNA has not been reported previously to respond to viral infection, although miR166h, produced from the 3′ arm of the MIR166 precursor, shows changed expression in Potato spindle tuber viroid (PSTVd)‐infected Phelipanche ramose and Mungbean yellow mosaic India virus (MYMIV)‐infected Vigna mungo (Ivanova et al., 2014; Kundu et al., 2017). In a previous study, it has been reported that RSV infection induces the expression of novel miRNAs in a phased pattern from several conserved miRNA precursors, and enhances the accumulation of some rice miRNA*s, but not their corresponding miRNAs (Du et al., 2011). In this study, more nbe‐miR166h‐p5 was specifically produced from its precursor in PVX‐infected plants, whereas the expression of the precursor and nbe‐miR166h was not affected. Notably, the mRNA levels of the predicted nbe‐miR166h targets were down‐regulated in leaves expressing p25, the PVX suppressor of RNA silencing, which probably indicates that p25 might enhance the level of nbe‐miR166h‐p5 to regulate its targets. This is worthy of further study. We also investigated whether other small RNAs were produced from the nbe‐MIR166h precursor, but did not find any (data not shown), indicating that the phased miRNA was not produced from the nbe‐MIR166h precursor.
Suppression of nbe‐miR166h‐p5 attenuated the symptoms of PVX and enhanced the chlorophyll content (Fig. 3). Notably, the content of chlorophyll in leaves was slightly decreased when nbe‐miR166h‐p5 was transiently expressed (Fig. S4, see Supporting Information). These results suggest that nbe‐miR166h‐p5 might be involved in the regulation of chlorophyll content, and that the up‐regulated expression of nbe‐miR166h‐p5 could perhaps contribute to the leaf yellowing symptoms of PVX in N. benthamiana by reducing the content of chlorophyll. The results also showed that PVX RNAs accumulated at a lower level when nbe‐miR166h‐p5 was suppressed, suggesting a possible association of miRNA with resistance against PVX infection. Although we have no firm evidence as yet on how such resistance might be enhanced, we suppose that the chloroplast may possibly play a positive role. Indeed, it has been reported previously that the down‐regulation of the psaK gene, encoding a chloroplastic protein, leads to higher PPV accumulation, indicating the positive role of the chloroplast against viral infection (Jimenez et al., 2006). Further studies are needed to demonstrate whether the increased accumulation of chlorophyll in nbe‐miR166h‐p5‐suppressed plants might strengthen the defence function of chloroplasts, hence increasing their resistance to PVX.
We identified three targets of nbe‐miR166h‐p5 in N. benthamiana: RLK, auxin‐responsive SAUR protein and KIP. RLKs are transmembrane proteins with putative amino‐terminal extracellular domains and carboxyl‐terminal intracellular kinase domains in plants. They control a wide range of processes, including development, disease resistance, hormone perception and self‐incompatibility (Plant receptor‐like kinase gene family: diversity, function and signalling). Auxin‐responsive SAUR protein is encoded by a group of small, auxin‐induced RNAs. The function of SAUR proteins is still unknown; however, they may play some role in an auxin signal transduction pathway that involves calcium and calmodulin (Auxin‐responsive gene expression: genes, promoters and regulatory factors). KIP functions for kinase through interaction. Members of the RLK, SAUR and KIP families are abundant in plants and it is possible that they may complement the functions of other family members when one is silenced, which might help to explain why the silencing of the three identified targets did not affect the chlorophyll content. Although no direct effect of silencing of these targets on chlorophyll content was detected here, we could not exclude an indirect role of these targets on the regulation of chlorophyll, which is worthy of future study. In particular, the overexpression of these targets in plants could provide more useful information to understand the relationships between nbe‐miR166h‐p5, its targets and chlorophyll content.
Abnormal chloroplast and chloroplast‐related components are associated with viral symptoms. It has been well reported that the expression of genes implicated in photosynthesis and the components participating in photosynthesis is reduced in different virus‐infected plants (Baumgartnerova et al., 1998; Funayama et al., 1997; Lehto et al., 2003; Liu et al., 2014; Lu et al., 2012; Rodriguez et al., 2012). In a previous report, we have provided evidence that the down‐regulation of chloroplast‐related genes (ChRGs) contributes to RSV‐induced chlorosis or yellowing (Shi et al., 2016). It is known that small RNAs can regulate ChRGs directly. A small interfering RNA (siRNA) derived from Cucumber mosaic virus (CMV) satellite RNA determines the viral yellowing symptoms by targeting and silencing the host magnesium protoporphyrin chelatase subunit I gene (ChlI, the key gene involved in chlorophyll synthesis) (Shimura et al., 2011; Smith et al., 2011). Here, we demonstrated that nbe‐miR166h‐p5 might function by regulating the content of chlorophyll, thus participating in PVX symptom development. However, such regulation would have to be indirect, as no ChRGs were identified as potential targets of nbe‐miR166h‐p5, and silencing of its targets was not sufficient to affect chlorophyll content. Further studies are needed to understand how nbe‐miR166h‐p5 reduces the content of chlorophyll.
In conclusion, our results provide an insight into the response of miRNAs to PVX in N. benthamiana, demonstrating that suppression of nbe‐miR166h‐p5 attenuates leaf yellowing symptoms and reduces virus accumulation.
Experimental procedures
Plants and virus inoculation
Nicotiana benthamiana plants were grown in a glasshouse at 23–25 °C, with a 12‐h day/night light cycle under well‐watered conditions. Three‐week‐old plants were used for mechanical inoculation with viruses. After symptoms appeared on the upper leaves of plants, leaves were collected from three independent infected plants as three replicates for analysis.
VbMS vector construction
VbMS vectors were constructed by in vitro RNA transcription using KOD polymerase (Toyobo, Osaka, Japan), and the synthesized DNA templates were prepared by PCR with a pair of primers (STTM166h‐p5‐FP and STTM166h‐p5‐RP) and the DNA template 48‐nucleotide spacer (Table S3, see Supporting Information). The amplified fragment was ligated into TRV‐RNA2 or the PVX vector through the Lic sequence according to the method described previously (Zhao et al., 2016). TRV‐RNA2 and PVX were digested with PstI and SmaI, respectively. The digested vector and PCR product were treated with T4 DNA polymerase in the presence of dTTP and dATP. Equal volumes of vector and PCR product were mixed and incubated at 37 °C for 30 min, and then transformed into Escherichia coli strain DH5α. The constructs were verified by sequencing and transformed to Agrobacterium tumefaciens strain GV3101.
Small RNA sequencing and analysis
Approximately 5 µg of total RNAs were isolated for the preparation of a small RNA library according to the protocol of the TruSeq Small RNA Sample Prep Kit (Illumina, California, USA). Sequencing was performed on an Illumina Hiseq2500 at LC‐BIO (Hangzhou, China) following the protocol of the manufacturer. After the removal of small RNA sequences from the 3′ adapter sequence, low quality and junk sequences, the remaining small RNA reads were collapsed to uniread sets and reads of >30 or <18 nucleotides were discarded. Clean small RNA reads were used for further bioinformatics analysis. The read numbers of small RNAs were normalized to ‘reads per million’ (RPM) based on the total small RNA read numbers. The mapping of virus‐derived siRNAs to the combined virus genome sequence was carried out according to the method described previously (Li et al., 2016).
Target prediction of miRNA
Targets of nbe‐miR166h‐p5 were predicted by psRNATarget (https://plantgrn.noble.org/psRNATarget/) (Dai and Zhao, 2011). The parameter of maximum expectation was set at 2.5. The length for complementarity scoring was set at 20 bp. Target accessibility (range 0–100, less is better) was set at 25.0. The flanking length around the target site for target accessibility analysis was set at 17 bp upstream and 13 bp downstream.
RT‐PCR and qRT‐PCR
Total RNA was isolated from plants with Trizol (Invitrogen, California, USA) according to the manufacturer’s instructions. To confirm the systemic infection of PVX, viral RNAs in a newly emerged leaf were amplified by RT‐PCR with primers designed from the PVX CP sequence, according to the method described previously (Jiang et al., 2014) (Table S3).
qRT‐PCR of target genes or viral RNA was performed according to a previous report (He et al., 2012). The N. benthamiana Ubiquitin C gene (UBC) gene (Accession Number: AB026056.1) was used as the internal reference gene for analysis. A Roche LightCycler®480 Real‐Time PCR System (Basel, Switzerland) was used for the reaction, and the results were analysed by the ΔΔCT method. The primers used are listed in Table S3.
The qRT‐PCR for nbe‐miR166h‐p5 was performed according to a previous report (Guo et al., 2012). Briefly, the specific stem‐loop RT primer was used for reverse transcription from purified total RNA. The RT product was used as template for SYBR green‐based real‐time PCR analysis with the specific forward primer and the universal reverse primer. The reactions were incubated in a 384‐well plate at 95 °C for 10 min, followed by 40 cycles of 95 °C for 15 s and 60 °C for 1 min. U6 was used as the internal control. All reactions were run in triplicate, and the results were analysed by the ΔΔCT method. The primers used are listed in Table S3.
Western blotting
Total protein from plant samples was extracted and separated by 12% sodium dodecylsulphate‐polyacrylamide gel electrophoresis (SDS‐PAGE), as reported previously. After transfer onto nitrocellulose (Amersham, Uppsala, Sweden) by wet electroblotting, the proteins were detected with primary antibody to GFP or PVX and secondary anti‐mouse antibody (Sigma‐Aldrich, St Louis, USA). The antigen–antibody complexes were visualized using nitrotetrazolium blue chloride/ 5‐bromo‐4‐chloro‐3‐indolyl phosphate (NBT/BCIP) buffer (Sigma) under standard conditions.
Measurements of chlorophyll content
Four pieces of leaf disc were collected from the tested plants. Total chlorophylls were extracted with 100% methanol, and their concentrations were determined (Lichtenthaler and Wellburn, 1983).
Conflicts of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supporting information
Acknowledgements
We thank Professor M. J. Adams (Stevenage, Hertfordshire, UK) for correcting the English of the manuscript. This work was financially supported by the State Basic Research Program of China (2014CB138403), the National Nature Science Foundation of China (31500124) and the International Science & Technology Cooperation Program of China (2015DFA30700).
Contributor Information
Jianping Chen, Email: Jpchen2001@126.com.
Fei Yan, Email: fei.yan@mail.zaas.ac.cn, Email: Jpchen2001@126.com.
References
- Abreu, P.M. , Gaspar, C.G. , Buss, D.S. , Ventura, J.A. , Ferreira, P.C. and Fernandes, P.M. (2014) Carica papaya microRNAs are responsive to Papaya meleira virus infection. PloS One, 9, e103401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Amin, I. , Patil, B.L. , Briddon, R.W. , Mansoor, S. and Fauquet, C.M. (2011) A common set of developmental miRNAs are upregulated in Nicotiana benthamiana by diverse begomoviruses. Virol. J. 8, 143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baumgartnerova, H. , Slovakova, L. and Petrusova, N. (1998) Relationship between concentration of plum pox virus and content of pigments in virus‐infected symptomatic apricot leaves. Acta Virol. 42, 216–218. [PubMed] [Google Scholar]
- Bazzini, A.A. , Hopp, H.E. , Beachy, R.N. and Asurmendi, S. (2007) Infection and coaccumulation of tobacco mosaic virus proteins alter microRNA levels, correlating with symptom and plant development. Proc. Natl. Acad. Sci. USA, 104, 12 157–12 162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bazzini, A.A. , Manacorda, C.A. , Tohge, T. , Conti, G. , Rodriguez, M.C. , Nunes‐Nesi, A. , et al (2011) Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes. PloS One, 6, e28466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bologna, N.G. and Voinnet, O. (2014) The diversity, biogenesis, and activities of endogenous silencing small RNAs in Arabidopsis. Ann. Rev. Plant Biol. 65, 473–503. [DOI] [PubMed] [Google Scholar]
- Chen, H. , Arsovski, A.A. , Yu, K. and Wang, A. (2016) Genome‐wide investigation using sRNA‐seq, degradome‐seq and transcriptome‐seq reveals regulatory networks of microRNAs and their target genes in soybean during soybean mosaic virus infection. PloS One, 11, e0150582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen, J. , Feng, J. , Liao, Q. , Chen, S. , Zhang, J. , Lang, Q. , et al (2012) Analysis of tomato microRNAs expression profile induced by Cucumovirus and Tobamovirus infections. J. Nanosci. Nanotechnol. 12, 143–150. [DOI] [PubMed] [Google Scholar]
- Chen, X. (2004) A microRNA as a translational repressor of APETALA2 in Arabidopsis flower development. Science (New York, N.Y.) 303, 2022–2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cillo, F. , Mascia, T. , Pasciuto, M.M. and Gallitelli, D. (2009) Differential effects of mild and severe Cucumber mosaic virus strains in the perturbation of MicroRNA‐regulated gene expression in tomato map to the 3' sequence of RNA 2. Mol. Plant–Microbe Interact. 22, 1239–1249. [DOI] [PubMed] [Google Scholar]
- Cui, J. , You, C. and Chen, X. (2017) The evolution of microRNAs in plants. Curr. Opin. Plant Biol. 35, 61–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dai, X. and Zhao, P.X. (2011) psRNATarget: a plant small RNA target analysis server. Nucleic Acids Res. 39, W155–W159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Du, P. , Wu, J. , Zhang, J. , Zhao, S. , Zheng, H. , Gao, G. , et al (2011) Viral infection induces expression of novel phased microRNAs from conserved cellular microRNA precursors. PLoS Pathog. 7, e1002176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Feng, J. , Liu, S. , Wang, M. , Lang, Q. and Jin, C. (2014) Identification of microRNAs and their targets in tomato infected with Cucumber mosaic virus based on deep sequencing. Planta, 240, 1335–1352. [DOI] [PubMed] [Google Scholar]
- Feng, J. , Wang, K. , Liu, X. , Chen, S. and Chen, J. (2009) The quantification of tomato microRNAs response to viral infection by stem‐loop real‐time RT‐PCR. Gene, 437, 14–21. [DOI] [PubMed] [Google Scholar]
- Funayama, S. , Hikosaka, K. and Yahara, T. (1997) Effects of virus infection and growth irradiance on fitness components and photosynthetic properties of Eupatorium makinoi (Compositae). Am. J. Bot. 84, 823. [PubMed] [Google Scholar]
- Gao, R. , Wan, Z.Y. and Wong, S.M. (2013) Plant growth retardation and conserved miRNAs are correlated to Hibiscus chlorotic ringspot virus infection. PloS One, 8, e85476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo, H.S. , Xie, Q. , Fei, J.F. and Chua, N.H. (2005) MicroRNA directs mRNA cleavage of the transcription factor NAC1 to downregulate auxin signals for Arabidopsis lateral root development. Plant Cell, 17, 1376–1386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo, W. , Wu, G. , Yan, F. , Lu, Y. , Zheng, H. , Lin, L. , et al (2012) Identification of novel Oryza sativa miRNAs in deep sequencing‐based small RNA libraries of rice infected with Rice stripe virus. PloS One, 7, e46443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- He, Q. , Peng, J. , Yan, F. , Lin, L. , Lu, Y. , Zheng, H. , et al (2012) Intron retention and 3'‐UTR analysis of Arabidopsis dicer‐like 2 transcripts. Mol. Biol. Rep. 39, 3271–3280. [DOI] [PubMed] [Google Scholar]
- Ivanova, D. , Milev, I. , Vachev, T. , Baev, V. , Yahubyan, G. , Minkov, G. , et al (2014) Small RNA analysis of Potato spindle tuber viroid infected Phelipanche ramosa. Plant Physiol. Biochem. 74, 276–282. [DOI] [PubMed] [Google Scholar]
- Jiang, S. , Lu, Y. , Li, K. , Lin, L. , Zheng, H. , Yan, F. , et al (2014) Heat shock protein 70 is necessary for Rice stripe virus infection in plants. Mol. Plant Pathol. 15, 907–917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jimenez, I. , Lopez, L. , Alamillo, J.M. , Valli, A. and Garcia, J.A. (2006) Identification of a plum pox virus CI‐interacting protein from chloroplast that has a negative effect in virus infection. Mol. Plant–Microbe Interact. 19, 350–358. [DOI] [PubMed] [Google Scholar]
- Jin, H. (2008) Endogenous small RNAs and antibacterial immunity in plants. FEBS Lett. 582, 2679–2684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jones‐Rhoades, M.W. , Bartel, D.P. and Bartel, B. (2006) MicroRNAs and their regulatory roles in plants. Annu. Rev. Plant Biol. 57, 19–53. [DOI] [PubMed] [Google Scholar]
- Katiyar‐Agarwal, S. and Jin, H. (2010) Role of small RNAs in host‐microbe interactions. Ann. Rev. Phytopathol. 48, 225–246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kidner, C.A. and Martienssen, R.A. (2005) The developmental role of microRNA in plants. Curr. Opin. Plant Biol. 8, 38–44. [DOI] [PubMed] [Google Scholar]
- Kundu, A. , Paul, S. , Dey, A. and Pal, A. (2017) High throughput sequencing reveals modulation of microRNAs in Vigna mungo upon Mungbean yellow mosaic India virus inoculation highlighting stress regulation. Plant Sci. 257, 96–105. [DOI] [PubMed] [Google Scholar]
- Lang, Q. , Jin, C. , Lai, L. , Feng, J. , Chen, S. and Chen, J. (2011a) Tobacco microRNAs prediction and their expression infected with Cucumber mosaic virus and Potato virus X. Mol. Biol. Rep. 38, 1523–1531. [DOI] [PubMed] [Google Scholar]
- Lang, Q.L. , Zhou, X.C. , Zhang, X.L. , Drabek, R. , Zuo, Z.X. , Ren, Y.L. , et al (2011b) Microarray‐based identification of tomato microRNAs and time course analysis of their response to Cucumber mosaic virus infection. J. Zhejiang Univ. Sci. B, 12, 116–125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lehto, K. , Tikkanen, M. , Hiriart, J.B. , Paakkarinen, V. and Aro, E.M. (2003) Depletion of the photosystem II core complex in mature tobacco leaves infected by the flavum strain of tobacco mosaic virus. Mol. Plant–Microbe Interact. 16, 1135–1144. [DOI] [PubMed] [Google Scholar]
- Li, F. , Pignatta, D. , Bendix, C. , Brunkard, J.O. , Cohn, M.M. , Tung, J. , et al (2012) MicroRNA regulation of plant innate immune receptors. Proc. Natl. Acad. Sci. USA, 109, 1790–1795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, J. , Zheng, H. , Zhang, C. , Han, K. , Wang, S. , Peng, J. , et al (2016) Different virus‐derived siRNAs profiles between leaves and fruits in Cucumber green mottle mosaic virus‐infected Lagenaria siceraria plants. Front. Microbiol, 7, 1797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lian, S. , Cho, W.K. , Kim, S.M. , Choi, H. and Kim, K.H. (2016) Time‐course small RNA profiling reveals rice miRNAs and their target genes in response to Rice stripe virus infection. PloS One, 11, e0162319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lichtenthaler, H.K. and Wellburn, A.R. (1983) Determinations of total carotenoids and chlorophylls a and b of leaf extracts in different solvents. Biochem. Soc. Trans. 603, 591–592. [Google Scholar]
- Liu, H.W. , Luo, L.X. , Liang, C.Q. , Jiang, N. , Liu, P.F. and Li, J.Q. (2015) High‐throughput sequencing identifies novel and conserved cucumber (Cucumis sativus L.) microRNAs in response to Cucumber green mottle mosaic virus infection. PloS One, 10, e0129002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu, J. , Yang, J. , Bi, H. and Zhang, P. (2014) Why mosaic? Gene expression profiling of African cassava mosaic virus‐infected cassava reveals the effect of chlorophyll degradation on symptom development. J. Integr. Plant Biol. 56, 122–132. [DOI] [PubMed] [Google Scholar]
- Llave, C. (2004) MicroRNAs: more than a role in plant development? Mol. Plant Pathol. 5, 361–366. [DOI] [PubMed] [Google Scholar]
- Lu, J. , Du, Z.X. , Kong, J. , Chen, L.N. , Qiu, Y.H. , Li, G.F. , et al (2012) Transcriptome analysis of Nicotiana tabacum infected by Cucumber mosaic virus during systemic symptom development. PloS One, 7, e43447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu, Y.D. , Gan, Q.H. , Chi, X.Y. and Qin, S. (2008) Roles of microRNA in plant defense and virus offense interaction. Plant Cell Rep. 27, 1571–1579. [DOI] [PubMed] [Google Scholar]
- Naqvi, A.R. , Haq, Q.M. and Mukherjee, S.K. (2010) MicroRNA profiling of tomato leaf curl New Delhi virus (tolcndv) infected tomato leaves indicates that deregulation of mir159/319 and mir172 might be linked with leaf curl disease. Virol. J. 7, 281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Navarro, L. , Dunoyer, P. , Jay, F. , Arnold, B. , Dharmasiri, N. , Estelle, M. , et al (2006) A plant miRNA contributes to antibacterial resistance by repressing auxin signaling. Science, 312, 436–439. [DOI] [PubMed] [Google Scholar]
- Pacheco, R. , Garcia‐Marcos, A. , Barajas, D. , Martianez, J. and Tenllado, F. (2012) PVX‐potyvirus synergistic infections differentially alter microRNA accumulation in Nicotiana benthamiana. Virus Res. 165, 231–235. [DOI] [PubMed] [Google Scholar]
- Padmanabhan, C. , Zhang, X. and Jin, H. (2009) Host small RNAs are big contributors to plant innate immunity. Curr. Opin. Plant Biol. 12, 465–472. [DOI] [PubMed] [Google Scholar]
- Palatnik, J.F. , Allen, E. , Wu, X. , Schommer, C. , Schwab, R. , Carrington, J.C. , et al (2003) Control of leaf morphogenesis by microRNAs. Nature, 425, 257–263. [DOI] [PubMed] [Google Scholar]
- Pradhan, B. , Naqvi, A.R. , Saraf, S. , Mukherjee, S.K. and Dey, N. (2015) Prediction and characterization of Tomato leaf curl New Delhi virus (ToLCNDV) responsive novel microRNAs in Solanum lycopersicum. Virus Res. 195, 183–195. [DOI] [PubMed] [Google Scholar]
- Rodriguez, M. , Munoz, N. , Lenardon, S. and Lascano, R. (2012) The chlorotic symptom induced by Sunflower chlorotic mottle virus is associated with changes in redox‐related gene expression and metabolites. Plant Sci. 196, 107–116. [DOI] [PubMed] [Google Scholar]
- Romanel, E. , Silva, T.F. , Correa, R.L. , Farinelli, L. , Hawkins, J.S. , Schrago, C.E. , et al (2012) Global alteration of microRNAs and transposon‐derived small RNAs in cotton (Gossypium hirsutum) during Cotton leafroll dwarf polerovirus (CLRDV) infection. Plant Mol. Biol. 80, 443–460. [DOI] [PubMed] [Google Scholar]
- Ruiz‐Ferrer, V. and Voinnet, O. (2009) Roles of plant small RNAs in biotic stress responses. Annu. Rev. Plant Biol. 60, 485–510. [DOI] [PubMed] [Google Scholar]
- Shi, B. , Lin, L. , Wang, S. , Guo, Q. , Zhou, H. , Rong, L. , et al (2016) Identification and regulation of host genes related to rice stripe virus symptom production. New Phytol. 209, 1106–1119. [DOI] [PubMed] [Google Scholar]
- Shimura, H. , Pantaleo, V. , Ishihara, T. , Myojo, N. , Inaba, J. , Sueda, K. , et al (2011) A viral satellite RNA induces yellow symptoms on tobacco by targeting a gene involved in chlorophyll biosynthesis using the RNA silencing machinery. PLoS Pathog. 7, e1002021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shivaprasad, P.V. , Chen, H.M. , Patel, K. , Bond, D.M. , Santos, B.A. and Baulcombe, D.C. (2012) A microRNA superfamily regulates nucleotide binding site‐leucine‐rich repeats and other mRNAs. Plant Cell, 24, 859–874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smith, N.A. , Eamens, A.L. and Wang, M.B. (2011) Viral small interfering RNAs target host genes to mediate disease symptoms in plants. PLoS Pathog. 7, e1002022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sun, Z. , He, Y. , Li, J. , Wang, X. and Chen, J. (2015) Genome‐wide characterization of rice black streaked dwarf virus‐responsive microRNAs in rice leaves and roots by small RNA and degradome sequencing. Plant Cell Physiol. 56, 688–699. [DOI] [PubMed] [Google Scholar]
- Tong, A. , Yuan, Q. , Wang, S. , Peng, J. , Lu, Y. , Zheng, H. , et al (2017) Altered accumulation of osa‐miR171b contributes to rice stripe virus infection by regulating disease symptoms. J. Exp. Bot. 68, 4357–4367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, J.W. , Wang, L.J. , Mao, Y.B. , Cai, W.J. , Xue, H.W. and Chen, X.Y. (2005) Control of root cap formation by MicroRNA‐targeted auxin response factors in Arabidopsis. Plant Cell, 17, 2204–2216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, Z. , Jiang, D. , Zhang, C. , Tan, H. , Li, Y. , Lv, S. , et al (2015) Genome‐wide identification of turnip mosaic virus‐responsive microRNAs in non‐heading Chinese cabbage by high‐throughput sequencing. Gene, 571, 178–187. [DOI] [PubMed] [Google Scholar]
- Xu, D. , Mou, G. , Wang, K. and Zhou, G. (2014) MicroRNAs responding to southern rice black‐streaked dwarf virus infection and their target genes associated with symptom development in rice. Virus Res. 190, 60–68. [DOI] [PubMed] [Google Scholar]
- Yan, F. , Guo, W. , Wu, G. , Lu, Y. , Peng, J. , Zheng, H. , et al (2014) A virus‐based miRNA suppression (VbMS) system for miRNA loss‐of‐function analysis in plants. Biotechnol. J. 9, 702–708. [DOI] [PubMed] [Google Scholar]
- Yang, J. , Zhang, F. , Li, J. , Chen, J.P. and Zhang, H.M. (2016) Integrative analysis of the microRNAome and transcriptome illuminates the response of susceptible rice plants to rice stripe virus. PloS One, 11, e0146946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang, B. , Pan, X. , Cobb, G.P. and Anderson, T.A. (2006) Plant microRNA: a small regulatory molecule with big impact. Dev. Biol. 289, 3–16. [DOI] [PubMed] [Google Scholar]
- Zhao, J. , Liu, Q. , Hu, P. , Jia, Q. , Liu, N. , Yin, K. , et al (2016) An efficient Potato virus X‐based microRNA silencing in Nicotiana benthamiana . Sci. Rep. 6, 20 573. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.