Literature DB >> 35678657

Transcriptomic Analysis Reveals LncRNAs Associated with Flowering of Angelica sinensis during Vernalization.

Xiaoxia Liu1, Mimi Luo1, Mengfei Li1, Jianhe Wei2.   

Abstract

Angelica sinensis is a "low-temperature and long-day" perennial plant that produces bioactive compounds such as phthalides, organic acids, and polysaccharides for various types of clinical agents, including those with cardio-cerebrovascular, hepatoprotective, and immunomodulatory effects. To date, the regulatory mechanism of flowering under the photoperiod has been revealed, while the regulatory network of flowering genes during vernalization, especially in the role of lncRNAs, has yet to be identified. Here, lncRNAs associated with flowering were identified based on the full-length transcriptomic analysis of A. sinensis at vernalization and freezing temperatures, and the coexpressed mRNAs of lncRNAs were validated by qRT-PCR. We obtained a total of 2327 lncRNAs after assessing the protein-coding potential of coexpressed mRNAs, with 607 lncRNAs aligned against the TAIR database of model plant Arabidopsis, 345 lncRNAs identified, and 272 lncRNAs characterized on the SwissProt database. Based on the biological functions of coexpressed mRNAs, the 272 lncRNAs were divided into six categories: (1) chromatin, DNA/RNA and protein modification; (2) flowering; (3) stress response; (4) metabolism; (5) bio-signaling; and (6) energy and transport. The differential expression levels of representatively coexpressed mRNAs were almost consistent with the flowering of A. sinensis. It can be concluded that the flowering of A. sinensis is positively or negatively regulated by lncRNAs, which provides new insights into the regulation mechanism of the flowering of A. sinensis.

Entities:  

Keywords:  Angelica sinensis; flowering; lncRNA; transcriptomic analysis; vernalization

Year:  2022        PMID: 35678657      PMCID: PMC9164074          DOI: 10.3390/cimb44050128

Source DB:  PubMed          Journal:  Curr Issues Mol Biol        ISSN: 1467-3037            Impact factor:   2.976


1. Introduction

Angelica sinensis (Oliv.) Diels is a “low-temperature and long-day” perennial plant that is native to Gansu Province, Northwest China [1,2]. The roots have been used as a traditional Chinese medicine for over 2000 years [3,4]. Currently, the roots are also applied in cardio-cerebrovascular, hepatoprotective, and immunomodulatory clinical agents, largely relying on bioactive compounds such as phthalides, organic acids, and polysaccharides [5,6,7]. Recently, the planting area of A. sinensis has exceeded 40,000 ha to satisfy the increasing demand; however, a higher rate (>40%) of early bolting and flowering (EBF) in commercial cultivation increases the lignified rate of roots and decreases the yield accordingly [8,9]. In order to inhibit the EBF, effective measures that have been taken include selecting excellent germplasm resources with a lower rate of EBF [8], controlling the seedling size (0.4 to 0.6 cm) to delay the transition from vegetative to reproductive growth [10], storing seedlings below freezing temperatures (−3 to −10 °C) to avoid vernalization (0 to 10 °C) [2,11,12], and shading the plants with sunshade nets (40% to 60%) to avoid the long-day conditions during the adult stages [13]. Regarding the regulatory mechanism of flowering in A. sinensis, key genes and the regulatory network during the photoperiod have been identified and mapped based on transcriptomic analysis. Specifically, 13 genes associated with the photoperiod, vernalization, sucrose, and GA pathways were identified from plants at the vegetative stage compared with the EBF stage [14]; 38 genes associated with the photoperiod, carbohydrates, hormone signaling, and floral development were identified from different development stages [15]; and 40 genes associated with the photoperiod, sucrose, GA, and floral development were identified from the EBF compared with Un-EBF [16]. In summary, key genes such as FLC, SOC1, FT, PHYA, AP1, and GA were identified during the transition from the vegetative to the reproductive stage [14,15,16]. To date, physiological changes in the levels of carbohydrates, proteins, and hormones during vernalization have been investigated [17,18], while the regulatory network of flowering has yet to be identified. Generally, ncRNAs include two categories, housekeeping and regulatory ncRNAs, and the latter can be further divided into sRNAs (i.e., miRNA, siRNA, and piRNA) and lncRNAs (>200 nucleotides) [19]. Both miRNAs and lncRNAs can influence plant developmental processes and stress responses [20], with the former being negative regulators functioning as specificity determinants, or guides, within complexes that promote the degradation of mRNA targets, and the latter acting either as precursors of miRNAs or endogenous target mimics (TMs), which mimic the real targets of miRNAs, thus rendering the corresponding miRNAs ineffective [21]. For example, previous studies on resistance against leaf rust in wheat found that 50 miRNAs and 1178 lncRNAs were identified and 49 lncRNAs were found to be the targets for miRNAs, with 1 lncRNA acting as a precursor of 2 miRNAs, and 3 lncRNAs acting as TMs [22]. Extensive investigations have demonstrated that lncRNAs regulate their downstream targets’ expression through the changing of epigenetic modification at the level of transcription and post-transcription by interacting with DNA, RNA, and proteins; thus, they are involved in various biological processes [23,24,25]. In this study, lncRNAs associated with flowering were identified based on the transcriptomic analysis of A. sinensis seedlings treated at vernalization and freezing temperatures (avoiding vernalization). We found that 272 lncRNAs directly or indirectly participate in regulating the flowering of A. sinensis and stress responses.

2. Materials and Methods

2.1. Plant Material

The seedlings (root–shoulder diameter 0.4–0.5 cm; Figure S1) of Angelica sinensis (cultivar Mingui 1) were stored at 0 (vernalization temperature) and −3 °C (freezing temperature), respectively. After storage at 0 °C for 14 (T1) and 60 days (T2), as well as at −3 °C for 125 days (T3), the shoot apical meristem (SAM) was cut from the root shoulder of the seedlings for transcriptomic analysis and qRT-PCR validation. Three biological replicates were performed for each treatment of T1, T2, and T3. Herein, the treatment of T1, T2, and T3 represents uncompleted, completed, and avoided vernalization, respectively, based on the EBF rate (Figure S2) when the stored seedlings were cultivated and grown in a long-day condition.

2.2. Full-Length Isoform Sequencing and Analysis

Total RNA of the SAM samples was extracted using Trizol reagent (Omega Bio-Tek, Norcross, GA, USA). The integrity of the RNA was determined using an Agilent 2100 Bioanalyzer (Agilent Technol., California, CA, USA) and agarose gel electrophoresis, and the purity and concentration of the RNA were determined using a microspectrophotometer (NanoDrop Technol., Wilmington, DE, USA). The high-quality RNAs were sequenced on a Pacific Biosciences Sequel platform (Gene Denovo Biotechnology Co., Ltd., Guangzhou, China). Raw reads of cDNA library were analyzed using a SMRT Link (V8.0.0) [26]. Briefly, high-quality CCS were extracted from the subreads BAM file; the integrity of transcripts (full-length sequences) was judged based on whether CCS reads contained primers (5′ and 3’) and polyAs; then, FLNC reads were generated by removing primers, barcodes, and polyAs; finally, FLNC reads were assembled to obtain the entire isoform [27].

2.3. Analysis of Long Noncoding RNAs (lncRNAs)

Isoforms that were not annotated against the four databases—NR, Swiss-Prot, Kyoto KEGG, and KOG—were used for the analysis of lncRNAs. The isoform that was assessed as a noncoding transcript by both CNCI and CPC software was finally confirmed as a lncRNA [28,29].

2.4. Characterization of LncRNAs

To date, the genome of A. sinensis has not been sequenced. Thus, the lncRNA analysis of A. sinensis was performed via a BLAST search with an E-value cut-off of ≤1 × 10−5 against the known lncRNAs from the TAIR database (https://www.arabidopsis.org accessed on 30 March 2022) [30]. The function of lncRNAs was annotated based on their coexpression mRNAs [31,32,33]. Herein, the biological functions of the coexpressed mRNAs were searched on the UniProt database (https://www.uniprot.org accessed on 30 March 2022).

2.5. qRT-PCR Validation

Based on the coding sequences (CDS) of coexpressed mRNA of lncRNA, 49 primer sequences of representatively coexpressed mRNAs (Table 1) were designed using the NCBI primer-blast tool. First-strand cDNA synthesis and qRT-PCR reaction were carried out using SuperRealPreMix Plus (FP205; Tiangen Biotech., Beijing, China) according to the manufacturer’s instructions; specifically, the cDNA was synthesized successively with one cycle (95 °C, 15 min) and 40 cycles (95 °C, 10 s; 60 °C, 20 s; and 72 °C, 30 s), and the qRT-PCR reaction was incubated successively at 95 °C for 15 s, 60 °C for 1 min and 95 °C for 1 s. The Actin (ACT) gene was used as a reference control gene with forward: TGGTATTGTGCTGGATTCTGGT and reverse: TGAGATCACCACCAGCAAGG (amplicon size 109 bp) [34]. Herein, the cycle threshold (Ct) values and standard curves of the ACT gene at different volumes (0.25, 0.5, 1.0, 1.5, 2.0, and 3.0 μL) was built to correct the gene expression level (Figure S3 and Figure S4), and the expression levels of the 49 candidate genes and their standard deviations for every variant were added to the Supplementary Materials (Table S1). The REL of coexpressed mRNAs was calculated using the 2−△△Ct method [35] according to the following formula. △Ct △Ct −△△Ct −△△Ct
Table 1

Primer sequences used in qRT-PCR validation.

lncRNA IDCoexpressed mRNAsmRNA IDPrimer Sequences (5’ to 3’)Amplicon Size (bp)
Isoform0062250 HMGB2 NM_001035997.1Forward: CAAAGCTGCTGCTAAGGAC155
Reverse: GGACTTCCACTTGTCTCCAGC
Isoform0061796 HMGB3 NM_001035998.1Forward: CCTTCCAGTGCCTTCTTCGT174
Reverse: CTCAACCTTGCGCTTGTCAG
Isoform0001498 At1g05910 NM_100472.2Forward: AGACCACTCTCTCCGGTTGT109
Reverse: TCGTCAACTCCGATGACGTG
Isoform0062769 RID2 NM_125110.6Forward: GCAGGGCTTAGGTCTTCGTT100
Reverse: ACGAGGTTCATGCGATGACT
Isoform0061049 At4g26600 NM_001341820.1Forward: TTCCGATTGGTGCAACTCCT118
Reverse: GCCATGTCCACAACTCGTTC
Isoform0034756 H2AV NM_001339683.1Forward: CAGTTGGACGAATTCACAGGC176
Reverse: CAGATGCCTTGGCGTTATCC
Isoform0050517 At2g28720 NM_128433.4Forward: GCAAGAAGCTTCAAAATTAGC107
Reverse: TGCTTAGCAAGTTCACCAGG
Isoform0062503 HTR2 NM_113651.2Forward: CACCGGAGGAGTGAAGAAGC189
Reverse: TCTTGAAGAGCTGCGACTGC
Isoform0027210 HOS15 NM_126132.4Forward: TACAGGCGCAGAACCTATGG164
Reverse: CTGTTGCATCACCAGACCCT
Isoform0062048 REF6 NM_148863.4Forward: AGGGAACACAGCTTCTGGTG124
Reverse: TTCCCCAAGTGAACGGTCTG
Isoform0062818 SKP1A NM_106245.5Forward: GTGCTGCTACCTCCGATGAC181
Reverse: GTGCGGATCTCTTCTGGAGT
Isoform0061474 ASK21 NM_001125404.1Forward: CCTGATGACCTTACTGAGGAG178
Reverse: CAGGTCATCCACTGAACGCT
Isoform0061497 SRK2G NM_120946.5Forward: ACATCGAGAGAGGTCGCAAG110
Reverse: AGGTGTCAGGATCACCTCCTT
Isoform0062575 SRK2H NM_125760.2Forward: TGGTCCTGTGGTGTGACTCT164
Reverse: GAGAGAAGGTGTCTGCACTCC
Isoform0062220 SRR1 NM_125348.4Forward: ATCGCATTGTTTGGGAACAGC117
Reverse: AGCAAACTCGCTTGTGACTCT
Isoform0061284 PHL NM_001334526.1Forward: CAAAGTCCTCGTTTGTCGGC104
Reverse: GCAACTGCTCCATAGTGGGT
Isoform0057927 PHYA NM_001123784.1Forward: GTGCGATATGCTGATGCGTG149
Reverse: CCTGCAGGTGGAACTCACTT
Isoform0041956 AGL62 NM_125437.5Forward: CTCCTCACCAACACAACAAC197
Reverse: AACGCAAGTTCCTCAACGGG
Isoform0045502 AGL79 NM_113925.3Forward: AATCACCCCATGAGCTTCGC107
Reverse: TAGGGTTCCGGCAGCTACTT
Isoform0063170 ATJ3 NM_114279.4Forward: GAATACGCTCACGGAGTTGC135
Reverse: GCATCCCACTTGGCTCTCTC
Isoform0062470 ACBP6 NM_102916.4Forward: AATCACCCCATGAGCTTCGC107
Reverse: TAGGGTTCCGGCAGCTACTT
Isoform0061783 ENO2 NM_129209.4Forward: CACTGAGTGTGGAACCGAGG190
Reverse: GGTCATCACTCCCCAACCTG
Isoform0063049 ADH1 NM_106362.3Forward: TGTGACCGAGTGTGTGAACC123
Reverse: TGAATCATGGCCTGAACGCT
Isoform0062198 CSP2 NM_120029.3Forward: GATCTGGAGGTGGATACGGC115
Reverse: CAGTCTCTCGCCATGTGACC
Isoform0062617 HSP17.8 NM_100614.3Forward: AACATCGGCGATAACGAACG154
Reverse: CTCCACGTGTCTCTCTCCAC
Isoform0009507 HSP70-3 NM_001202918.1Forward: CGACTGCAGGAGACACTCAT144
Reverse: TCTCACAGGCGGTTCTCAAC
Isoform0034676 HSP70-10 NM_120996.4Forward: CGTGTCCCCAAGGTTCAGTC167
Reverse: CCGAGCGATAGAGGTGTGAC
Isoform0042993 HSP90-3 NM_124983.4Forward: AACAAGGAGGAGTACGCTGC193
Reverse: AGACACGACGGACATAGAGC
Isoform0061974 CSY4 NM_001337082.1Forward: GATGCAGAGCTCTACCGACC197
Reverse: CCTCTTCCGGGTCAAGCAAT
Isoform0062375 GAPCP2 NM_101496.3Forward: CATTTCTGCACCTTCAGCGG198
Reverse: TTCTGAGTAGCTGTGGTCGC
Isoform0062268 At3g52990 NM_115159.5Forward: GACAACTTGCGACCAACTCG101
Reverse: AATCCACGAAGGGTCTCAGC
Isoform0062585 PGM2 NM_001160993.2Forward: TGAACTGCGTACCCAAGGAG158
Reverse: TCGGTCTGCATCACCATCAG
Isoform0062370 BAM1 NM_113297.3Forward: AACTCTCTCGCTGTTCCTCG165
Reverse: GGAGAAGCCCGTCTCACAAT
Isoform0062586 ARF1 NM_001337250.1Forward: GTGACCGTGTTGTTGAAGCC148
Reverse: TGAAGCCCAAGCTTGTCAGT
Isoform0061377 CUL1 NM_001036498.3Forward: GTGCCGTGCATTGCTAAGAG153
Reverse: TCTTCGGCCTGTTGGACAAG
Isoform0057235 SOFL4 NM_123240.2Forward: AGGTCGTGGATGAGGACTAC144
Reverse: GAACCGCTGATAATTTGGCCC
Isoform0043114 SOFL5 NM_001342234.1Forward: TGCGAGTCAGGATGGACTCT193
Reverse: TCCTTGGACCAGAAGAAGCAT
Isoform0062152 GRF2 NM_106479.3Forward: AACTCTCCGGAATCTGCGAC192
Reverse: GAGCAGATTTGTAAGCGGCG
Isoform0062828 GRF11 NM_001084180.2Forward: GGTGCTAGGAGAGCATCGTG198
Reverse: GACGGTGGATTCTCCCGAAG
Isoform0061395 ERF3 NM_103946.3Forward: ATCGTTTAGCGGACCCAGAC101
Reverse: CGCAATCGCTGTGACAATCC
Isoform0022533 SF1 NM_001036978.2Forward: GGCTTAGGGTCAACTCCGAC164
Reverse: CCAGTCACACGGTCCTTGAT
Isoform0044730 PURU1 NM_124115.4Forward: ACGTCTTCTACTCTCGCAGC125
Reverse: AGGCACACGCACAACTGAAT
Isoform0047216 MES16 NM_117770.5Forward: CCATCCCTTCTCCGCATCTT195
Reverse: TCATAGGAGCAGGACGCAAC
Isoform0063248 GPT1 NM_124861.5Forward: CGCTGGTTCGTTGATGATGC193
Reverse: AAACGCAGGTTCACCACTCT
Isoform0062571 ABCF5 NM_125882.3Forward: TGCTGATAGGCTTGTGGCTT103
Reverse: CGGCTCATCAAGTAGCAGCA
Isoform0008194 SECA2 NM_001198130.1Forward: ACTGTGAGGCCCATTGTCTG117
Reverse: CTCTGCCACGAAGCTGGTTA
Isoform0062373 VPS26A NM_124733.4Forward: TGTTCCGCTTCCTCCAATCAA196
Reverse: TGCTCCAGTTGATTCTCGCC
Isoform0062449 CML19 NM_119864.5Forward: CGAGCTCAACGTTGCTATGAG160
Reverse: GTCTATGGAGTCTCGTTCTCCG
Isoform0061307 NHX6 NM_106609.4Forward: GGCATTTGCTCTTGCTCTGC112
Reverse: TCCTCCAATCAGCAACACCG
Relative expression level (REL) = 2−△△Ct.

2.6. Statistical Analysis

In order to obtain the precise estimation of PCR efficiency, each experiment for qRT-PCR validation was performed with three biological replicates, along with three technical replicates [36]. A t-test in SPSS 22.0 was performed for independent experiments, with p < 0.05 as the basis for statistical differences.

3. Results

3.1. LncRNAs Analysis

In total, 2327 lncRNAs were obtained after assessing the protein-coding potential of coexpressed mRNAs based on the two software programs, CNCI and CPC (Figure 1A), with 607 genes aligned against the known lncRNAs from the TAIR database of model plant Arabidopsis (Figure 1B), and 345 lncRNAs with coexpressed mRNAs of A. sinensis identified (Figure 1C) based on the SwissProt database. Based on the biological functions, the 272 characterized lncRNAs (Figure 1D) were divided into six categories: chromatin, DNA/RNA and protein modification (29); flowering (36); stress response (24); metabolism (117); biosignaling (23), and energy and transport (43) (Figure 1E). The base sequences of the 272 lncRNAs are shown in Table S2.
Figure 1

Distribution and classification of lncRNAs in Angelica sinensis during vernalization, based on the biological functions of coexpressed mRNAs. Abbreviations: CNCI, coding–noncoding index; CPC, coding potential calculator. Images (A), (B), (C), (D) and (E) represent total, aligned, identified, characterized and classified lncRNAs, respectively.

3.2. LncRNAs Linked with Chromatin, DNA/RNA and Protein Modification, as well as Expression Levels of Their Coexpressed mRNAs

Based on the biological functions of coexpressed mRNAs, 29 lncRNAs were linked with chromatin (HMGB2 and HMGB3), DNA/RNA (At1g05910, RID2 and At4g26600) and protein modification (H2AV, At2g28720, HTR2, HOS15, REF6, SKP1A, ASK21, SRK2G, SRK2H, DET1, BOPAt4g295601, At1g45180, At3g50840, At2g36630, At3g47890, UBP7, DER2.1, GRP3, MDH9.13, At3g24715, At3g16560, At3g62260, ESMD1, and At1g27930) (Table 2). The expression levels of 14 representative coexpressed mRNAs were confirmed by qRT-PCR, with 3 mRNAs (HMGB2, HMGB3 and At1g05910) showing down-regulation at T2 versus (vs.) T1, and 11 mRNAs showing lower levels at T2 vs. T1 than T3 vs. T1, with the exception of 2 mRNAs (H2AV and ASK21) (Figure 2).
Table 2

Twenty-nine lncRNAs linked with chromatin, DNA/RNA, and protein modification.

lncRNA IDCoexpressed mRNAsmRNA IDProteins Encoded by Coexpressed mRNAs
Chromatin modification (2)
Isoform0062250 HMGB2 AT1G20693.1High mobility group B protein 2
Isoform0061796 HMGB3 AT1G20696.1High mobility group B protein 3
DNA/RNA modification (3)
Isoform0001498 At1g05910 AT1G05910.1ATPase family AAA domain-containing protein At1g05910
Isoform0062769 RID2 AT5G57280.118S rRNA (guanine-N(7))-methyltransferase RID2 e
Isoform0061049 At4g26600 AT4G26600.8S-adenosyl-L-methionine-dependent methyltransferases superfamily protein
Protein modification (24)
Isoform0034756 H2AV AT3G54560.1Histone H2A variant 1
Isoform0050517 At2g28720 AT2G28720.1Histone H2B.3
Isoform0062503 HTR2 AT1G09200.1Histone H3.2
Isoform0027210 HOS15 AT5G67320.1WD40 repeat-containing protein HOS15
Isoform0062048 REF6 AT3G48430.1Lysine-specific demethylase REF6
Isoform0062818 SKP1A AT1G75950.1SKP1-like protein 1A
Isoform0061474 ASK21 AT3G61415.1SKP1-like protein 21
Isoform0061497 SRK2G AT5G08590.1Serine/threonine-protein kinase SRK2G
Isoform0062575 SRK2H AT5G63650.1Serine/threonine-protein kinase SRK2H
Isoform0053138 DET1 AT4G10180.1Light-mediated development protein DET1
Isoform0030135 BOPAt4g295601 AT3G57130.2Ankyrin repeat family protein/BTB/POZ domain-containing protein
Isoform0063715 At1g45180 AT1G45180.1F27F5.26
Isoform0044146 At3g50840 AT3G50840.3Phototropic-responsive NPH3 family protein
Isoform0034163 At2g36630 AT2G36630.1Sulfite exporter TauE/SafE family protein 4
Isoform0058941 At3g47890 AT3G47890.2Ubiquitin carboxyl-terminal hydrolase-related protein
Isoform0007659 UBP7 A0A1I9LL79Ubiquitin carboxyl-terminal hydrolase
Isoform0045576 DER2.1 AT3G21280.2Derlin-2.1
Isoform0062510 GRP3 AT2G05520.1Glycine-rich protein 3
Isoform0062575 MDH9.13 AT5G42440.1At5g42440
Isoform0051826 At3g24715 AT3G24715.1Kinase superfamily with octicosapeptide/Phox/Bem1p domain-containing protein
Isoform0061548 At3g16560 AT3G16560.4Probable protein phosphatase 2C 40
Isoform0049189 At3g62260 AT3G62260.1Probable protein phosphatase 2C 49
Isoform0060667 ESMD1 AT2G01480.1Protein ESMERALDA 1
Isoform0062775 At1g27930 AT1G27930.1Probable methyltransferase At1g27930
Figure 2

The expression levels of coexpressed mRNAs of lncRNAs linked with chromatin, DNA/RNA and protein modification in A. sinensis at T2 vs. T1 and T3 vs. T1, as determined by qRT-PCR. T1, T2, and T3 represent uncompleted, completed, and avoided vernalization, respectively. The “*” represents a significant difference at p < 0.05 level between T2 vs. T1 and T3 vs. T2 for the same gene.

3.3. LncRNAs Linked with Flowering and Expression Levels of Their Coexpressed mRNAs

In total, 36 lncRNAs were linked with flowering based on the biological functions of their coexpressed mRNAs, with 12 lncRNAs directly associated with flowering, namely SRR1, PHL, PHYA, AGL62, AGL79, ATJ3, BBX29, CLE13, CLE44, MXC17.10, At1g06515, and BHLH30 (Table 3), and 24 lncRNAs indirectly associated with flowering, such as cell division, embryo development, and cell wall organization (Table S3). The expression levels of six representative coexpressed mRNAs (SRR1, PHL, PHYA, AGL62, AGL79, and ATJ3) were confirmed by qRT-PCR, with all six mRNAs showing down-regulation at T2 vs. T1 and T3 vs. T1, and five mRNAs showing lower levels at T2 vs. T1 than T3 vs. T1, with the exception of the gene AGL62 (Figure 3).
Table 3

Twelve lncRNAs directly linked with flowering.

lncRNA IDCoexpressed mRNAsmRNA IDProteins Encoded by Coexpressed mRNAs
Isoform0062220 SRR1 AT5G59560.2Protein SENSITIVITY TO RED LIGHT REDUCED 1
Isoform0061284 PHL AT1G72390.1Protein PHYTOCHROME-DEPENDENT LATE-FLOWERING
Isoform0057927 PHYA AT1G09570.6Phytochrome A
Isoform0041956 AGL62 AT5G60440.1Agamous-like MADS-box protein AGL62
Isoform0045502 AGL79 AT3G30260.1AGAMOUS-like 79
Isoform0063170 ATJ3 AT3G44110.1Chaperone protein dnaJ 3
Isoform0028325 BBX29 AT5G54470.1At5g54470
Isoform0054894 CLE13 AT1G73965.1CLAVATA3/ESR (CLE)-related protein 13
Isoform0061298 CLE44 AT4G13195.1CLAVATA3/ESR (CLE)-related protein 44
Isoform0056751 MXC17.10 AT5G24710.1Transducin/WD40 repeatlike superfamily protein
Isoform0062524 At1g06515 AT1G06515.2Transmembrane protein, putative (DUF3317)
Isoform0061573 BHLH30 AT1G68810.1Transcription factor bHLH30
Figure 3

The expression levels of coexpressed mRNAs of lncRNAs directly linked with flowering in A. sinensis at T2 vs. T1 and T3 vs. T1, as determined by qRT-PCR. The “*” represents a significant difference at p < 0.05 level between T2 vs. T1 and T3 vs. T2 for the same gene.

3.4. LncRNAs Linked with Stress Response and Expression Levels of Their Coexpressed mRNAs

In total, 24 lncRNAs were linked with the stress response based on the biological functions of their coexpressed mRNAs, with 14 lncRNAs associated with the temperature response, namely ACBP6, ENO2, ADH1, CSP2, RH20, RH52, RH53, RAB18, XERO1, MED14, HSP17.8, HSP70-3, HSP70-10, and HSP90-3 (Table 4), and 10 lncRNAs associated with other stresses responses, such as water, salt, and oxidative stress (Table S4). The expression levels of eight representative coexpressed mRNAs involved in the temperature response were confirmed by qRT-PCR, with four mRNAs (ACBP6, ENO2, CSP2, and HSP90-3) showing up-regulation at T3 vs. T1, and three mRNAs (ACBP6, ENO2, and CSP2) showing lower levels at T2 vs. T1 than T3 vs. T1 (Figure 4).
Table 4

Fourteen lncRNAs directly linked with temperature response.

lncRNA IDCoexpressed mRNAsmRNA IDProteins Encoded by Coexpressed mRNAs
Isoform0062470 ACBP6 AT1G31812.1Acyl-CoA-binding domain-containing protein 6
Isoform0061783 ENO2 AT2G36530.1Bifunctional enolase 2/transcriptional activator
Isoform0063049 ADH1 AT1G77120.1Alcohol dehydrogenase class-P
Isoform0062198 CSP2 AT4G38680.1Cold shock protein 2
Isoform0035932 RH20 AT1G55150.2DEA(D/H)-box RNA helicase family protein
Isoform0019851 RH52 AT3G58570.1DEAD-box ATP-dependent RNA helicase 52
Isoform0062484 RH53 AT3G22330.1DEAD-box ATP-dependent RNA helicase 53, mitochondrial
Isoform0058095 RAB18 AT5G66400.1Dehydrin Rab18
Isoform0061968 XERO1 AT3G50980.1Dehydrin Xero 1
Isoform0020919 MED14 AT3G04740.1Mediator of RNA polymerase II transcription subunit 14
Isoform0062617 HSP17.8 AT1G07400.117.8 kDa class I heat shock protein
Isoform0009507 HSP70-3 AT3G09440.2Heat shock 70 kDa protein 3
Isoform0034676 HSP70-10 AT5G09590.1Heat shock 70 kDa protein 10, mitochondrial
Isoform0042993 HSP90-3 AT5G56010.1Heat shock protein 90-3
Figure 4

The expression levels of coexpressed mRNAs of lncRNAs linked with temperature response in A. sinensis at T2 vs. T1 and T3 vs. T1, as determined by qRT-PCR. The “*” represents a significant difference at p < 0.05 level between T2 vs. T1 and T3 vs. T2 for the same gene.

3.5. LncRNAs Linked with Metabolism and Expression Levels of Their Coexpressed mRNAs

In total, 117 lncRNAs were linked with metabolism based on the biological functions of their coexpressed mRNAs, with 19 lncRNAs associated with carbohydrate metabolism, namely CSY4, FBA3, GAPC1, GAPCP2, At3g52990, PGM2, USP, GLCNAC1PUT2, UXS2, XYLA, GALS1, OFUT31, At5g67460, RSW3, At1g59950, At5g25970, UGT76E7, At1g26850, and BAM1 (Table 5), and 98 lncRNAs associated with other types of metabolism, such as nucleotide, protein, and lipid metabolism (Table S5). The expression levels of five representative coexpressed mRNAs (CSY4, GAPCP2, At3g52990, PGM2, and BAM1) involved in carbohydrate metabolism were confirmed by qRT-PCR, with all five mRNAs showing down-regulation at T3 vs. T1, and three mRNAs showing higher levels at T2 vs. T1 than T3 vs. T1, with the exception of the two genes GAPCP2 and BAM1 (Figure 5).
Table 5

Nineteen lncRNAs directly linked with carbohydrate metabolism.

lncRNA IDCoexpressed mRNAsmRNA IDProteins Encoded by Coexpressed mRNAs
Isoform0061974 CSY4 AT2G44350.2Citrate synthase 4, mitochondrial
Isoform0062251 FBA3 AT2G01140.1Fructose-bisphosphate aldolase 3, chloroplastic
Isoform0062131 GAPC1 AT3G04120.1Glyceraldehyde-3-phosphate dehydrogenase GAPC1, cytosolic
Isoform0062375 GAPCP2 AT1G16300.1Glyceraldehyde-3-phosphate dehydrogenase GAPCP2, chloroplastic
Isoform0062268 At3g52990 AT3G52990.1Pyruvate kinase
Isoform0062585 PGM2 AT1G70730.3Phosphoglucomutase (alpha-D-glucose-1,6-bisphosphate-dependent)
Isoform0063034 USP AT5G52560.1UDP-sugar pyrophosphorylase
Isoform0042435 GLCNAC1PUT2 AT2G35020.1UDP-N-acetylglucosamine diphosphorylase 2
Isoform0062018 UXS2 AT3G62830.1UDP-glucuronic acid decarboxylase 2
Isoform0062750 XYLA AT5G57655.2Xylose isomerase
Isoform0060700 GALS1 AT2G33570.1Galactan beta-1,4-galactosyltransferase GALS1
Isoform0062032 OFUT31 AT4G24530.1O-fucosyltransferase 31
Isoform0039872 At5g67460 AT5G67460.1Glucan endo-1,3-beta-D-glucosidase
Isoform0045893 RSW3 AT5G63840.2Glycosyl hydrolases family 31 protein
Isoform0036200 At1g59950 AT1G59950.1Aldo/keto reductase
Isoform0042053 At5g25970 AT5G25970.2Core-2/I-branching beta-1,6-N-acetylglucosaminyl-transferase family protein
Isoform0059181 UGT76E7 AT5G38040.1UDP-glycosyltransferase 76E7
Isoform0037698 At1g26850 AT1G26850.2Probable methyltransferase PMT2
Isoform0062370 BAM1 AT3G23920.1Beta-amylase 1, chloroplastic
Figure 5

The expression levels of coexpressed mRNAs of lncRNAs linked with carbohydrate metabolism in A. sinensis at T2 vs. T1 and T3 vs. T1, as determined by qRT-PCR. The “*” represents a significant difference at p < 0.05 level between T2 vs. T1 and T3 vs. T2 for the same gene.

3.6. LncRNAs Linked with Biosignaling and Expression Levels of Their Coexpressed mRNAs

In total, 23 lncRNAs were linked with metabolism based on the biological functions of their coexpressed mRNAs, with 13 lncRNAs associated with hormone signaling, namely ARF1, CUL1, T4L20.330, SOFL4, SOFL5, GRF2, GRF11, ERF3, CIPK20, SF1, AGD9, TIFY4B, and At2g34810 (Table 6), and 10 lncRNAs associated with other types of signaling, such as protein kinase, phosphatidylinositol-mediated, and cell surface receptor signaling (Table S6). The expression levels of eight representative coexpressed mRNAs associated with hormone signaling were confirmed by qRT-PCR, with three mRNAs (ARF1, CUL1, and GRF11) showing up-regulation at T2 vs. T1 and T3 vs. T1, and four mRNAs (ARF1, SOFL4, GRF2, and ERF3) showing lower levels at T2 vs. T1 than T3 vs. T1 (Figure 6).
Table 6

Thirteen lncRNAs directly linked with hormone signaling.

lncRNA IDCoexpressed mRNAsmRNA IDProteins Encoded by Coexpressed mRNAs
Isoform0062586 ARF1 AT2G47170.1ADP-ribosylation factor 1
Isoform0061377 CUL1 AT4G02570.1Cullin-1
Isoform0015752 T4L20.330 AT4G34750.1SAUR-like auxin-responsive protein family
Isoform0057235 SOFL4 AT5G38790.1Protein SOB FIVE-LIKE 4
Isoform0043114 SOFL5 AT4G33800.2Protein SOB FIVE-LIKE 5
Isoform0062152 GRF2 AT1G78300.114-3-3-like protein GF14 omega
Isoform0062828 GRF11 AT1G34760.114-3-3-like protein GF14 omicron
Isoform0061395 ERF3 AT1G50640.1Ethylene-responsive transcription factor 3
Isoform0007735 CIPK20 AT5G45820.1CBL-interacting serine/threonine-protein kinase 20
Isoform0022533 SF1 AT5G51300.2Splicing factorlike protein 1
Isoform0046311 AGD9 AT5G46750.1Probable ADP-ribosylation factor GTPase-activating protein AGD9
Isoform0057859 TIFY4B AT4G14720.1Protein TIFY 4B
Isoform0062437 At2g34810 AT2G34810.1Berberine bridge enzyme-like 16
Figure 6

The expression levels of coexpressed mRNAs of lncRNAs linked with biosignaling in A. sinensis at T2 vs. T1 and T3 vs. T1, as determined by qRT-PCR. The “*” represents a significant difference at p < 0.05 level between T2 vs. T1 and T3 vs. T2 for the same gene.

3.7. LncRNAs Linked with Energy and Transport

In all, 43 lncRNAs were found to be linked with energy and transport based on the biological functions of their coexpressed mRNAs, with 5 lncRNAs associated with energy, such as PURU1, ndhB1, and NDB1, and 38 lncRNAs associated with transport, such as At5g11230, GPT1 and SMXL5 (Table 7). The expression levels of eight representative coexpressed mRNAs (PURU1, MES16, GPT1, ABCF5, SECA2, VPS26A, CML19, and NHX6) were confirmed by qRT-PCR, with three mRNAs (PURU, GPT1, and VPS26A) showing up-regulation at T2 vs. T1 and T3 vs. T1, and six mRNAs (PURU1, GPT1, ABCF5, SECA2, VPS26A, and CML19) showing higher levels at T2 vs. T1 than T3 vs. T1, with the exception of the two genes MES16 and NHX6 (Figure 7).
Table 7

Forty-three lncRNAs linked with energy and transport.

lncRNA IDCoexpressed mRNAsmRNA IDProteins Encoded by Coexpressed mRNAs
Energy (5)
Isoform0044730 PURU1 AT5G47435.2Formyltetrahydrofolate deformylase 1, mitochondrial
Isoform0031698 ndhB1 ATCG01250.1NAD(P)H-quinone oxidoreductase subunit 2 A, chloroplastic
Isoform0029144 NDB1 AT4G28220.2NADH:ubiquinone reductase (nonelectrogenic)
Isoform0046995 WNK9 AT5G28080.3Nonspecific serine/threonine protein kinase
Isoform0047216 MES16 AT4G16690.1pFDCC methylesterase MES16
Transport (38)
Isoform0047603 At5g11230 AT5G11230.1Probable sugar phosphate/phosphate translocator At5g11230
Isoform0063248 GPT1 AT5G54800.1Glucose-6-phosphate/phosphate translocator 1, chloroplastic
Isoform0053163 SMXL5 AT5G57130.1Protein SMAX1-LIKE 5
Isoform0062571 ABCF5 AT5G64840.1ABC transporter F family member 5
Isoform0062182 SFH8 AT2G21520.2Phosphatidylinositol/phosphatidylcholine transfer protein SFH8
Isoform0022607 BASS6 AT4G22840.1Probable sodium/metabolite cotransporter BASS6, chloroplastic
Isoform0008194 SECA2 AT1G21650.3Protein translocase subunit SECA2, chloroplastic
Isoform0014041 At4g14160 AT4G14160.1Protein transport protein SEC23
Isoform0062660 ycf2-A ATCG01280.1Protein Ycf2
Isoform0036773 At4g22990 AT4G22990.1SPX domain-containing membrane protein At4g22990
Isoform0032676 At3g49350 AT3G49350.1At3g49350
Isoform0062443 TMT2 AT4G35300.5Tonoplast monosaccharide transporter2
Isoform0003274 VPS24-1 AT5G22950.1Vacuolar protein sorting-associated protein 24 homolog 1
Isoform0062373 VPS26A AT5G53530.1Vacuolar protein sorting-associated protein 26A
Isoform0028575 VPS52 AT1G71270.1Vacuolar protein sorting-associated protein 52 A
Isoform0038654 VPS60-2 AT5G04850.1Vacuolar protein sorting-associated protein 60.2
Isoform0062996 At5g19500 AT5G19500.1At5g19500
Isoform0062800 PIP1-5 AT4G23400.1Probable aquaporin PIP1-5
Isoform0061992 SULTR2;2 AT1G77990.1Sulfate transporter 2.2
Isoform0062606 MT2A AT3G09390.2Metallothionein-like protein 2A
Isoform0057136 At3g52300 AT3G52300.1ATP synthase subunit d, mitochondrial
Isoform0061450 ABCB23 AT4G28630.1ABC transporter B family member 23, mitochondrial
Isoform0062449 CML19 AT4G37010.1Calcium-binding protein CML19
Isoform0061763 JJJ1 AT1G74250.1DNAJ protein JJJ1 homolog
Isoform0061955 PAP1 AT1G13750.1Probable inactive purple acid phosphatase 1
Isoform0062074 HIPP04 AT1G29000.2Heavy metal-associated isoprenylated plant protein 4
Isoform0062972 HIPP26 AT4G38580.1Heavy metal-associated isoprenylated plant protein 26
Isoform0014712 KINUA AT1G12430.1Kinesin-like protein KIN-UA
Isoform0063051 IQD30 AT1G18840.2Protein IQ-DOMAIN 30
Isoform0016777 At3g18430 AT3G18430.1Calcineurin b subunit (Protein phosphatase 2b regulatory subunit)-like protein
Isoform0063921 CBL10 AT4G33000.6Calcineurin B-like protein 10
Isoform0061307 NHX6 AT1G79610.1Sodium/hydrogen exchanger 6
Isoform0024682 CNGC15 AT2G28260.2Cyclic nucleotide-gated channel 15
Isoform0034638 2-Oct AT1G79360.1Organic cation/carnitine transporter 2
Isoform0033810 CNGC13 AT4G01010.2Putative cyclic nucleotide-gated ion channel 13
Isoform0051075 MTG13.4 AT5G16680.1RING/FYVE/PHD zinc finger superfamily protein
Isoform0051563 SUF4 AT1G30970.3Zinc finger (C2H2 type) family protein
Isoform0037483 AHA4 AT3G47950.2ATPase 4, plasma membranetype
Figure 7

The expression levels of coexpressed mRNAs of lncRNAs linked with energy and transport in A. sinensis at T2 vs. T1 and T3 vs. T1, as determined by qRT-PCR. The “*” represents a significant difference at p < 0.05 level between T2 vs. T1 and T3 vs. T2 for the same gene.

4. Discussion

Vernalization is a process considered to be an epigenetic switch whereby flowering is promoted by prolonged exposure to cold (0 to 10 °C); meanwhile, it can be lost at high temperatures or avoided below freezing temperatures [37,38]. Epigenetic regulation involves diverse molecular mechanisms including chromatin remodeling, DNA methylation, histone modification, histone variants, and ncRNAs [39]. Studies on Brassica rapa found that 127 differentially expressed lncRNAs were coexpressed with 128 differentially expressed genes, indicating that lncRNAs played an important role during vernalization [40]. In this study, 272 characterized lncRNAs were identified from A. sinensis and divided into six categories, namely (1) chromatin, DNA/RNA, and protein modification; (2) flowering; (3) stress response; (4) metabolism; (5) biosignaling; and (6) energy and transport, based on their coexpressed mRNAs. FLC is a MADS-box transcriptional regulator that acts as a potent repressor of flowering [38]. In Arabidopsis, the epigenetic silencing of the floral repressor gene FLC is a well-characterized key event of vernalization [41]. In this study, 29 lncRNAs linked with chromatin, DNA/RNA, and protein modification were identified in A. sinensis during vernalization. For the chromatin modification, two coexpressed mRNAs, HMGB2 and HMGB3, are involved in binding preferentially double-stranded DNA and up-regulated in response to cold stress [42]. For the DNA/RNA modification, At1g05910 is involved in DNA demethylation and the negative regulation of chromatin silencing [43]; RID2 is involved in rRNA methyltransferase activity [44]; and At4g26600 is involved in RNA methylation [45]. For protein modification, 24 lncRNAs were involved and the roles of nine coexpressed mRNAs were represented as follows. H2AV plays a central role in regulating transcription, repairing DNA, replicating DNA, and stabilizing the nucleus chromosome [46]; At2g28720 and HTR2 are involved in compacting DNA into chromatin [47,48]; HOS15 promotes the deacetylation of histone H4 [49]; REF6 is involved in demethylating ‘Lys-27’ of histone H3, regulating flowering time by repressing FLC expression and interacting with the NF-Y complex to regulate SOC1 [50,51]; SKP1A and ASK21 are involved in ubiquitination and form an SCF E3 ubiquitin ligase complex together with CUL1, RBX1, and an F-box protein [52,53]; and SRK2G and SRK2H are involved in protein phosphorylation [54,55]. In previous studies, HMGB2 and HMGB3 were up-regulated in response to cold stress but down-regulated in response to drought and salt stresses [42]; H2AV, At2g28720 and HTR2 exhibited a high level in response to osmotic and drought stresses [56]; HOS15 was found to act as a repressor of cold stress-regulated gene expression and played a role in gene regulation for plant acclimation and tolerance to cold stress [49]; SKP1A and ASK21 were overexpressed in the host stress response [57]; and SRK2G and SRK2H were found to be positive regulators in stress responses such as drought, salt, and cold [54,55,58]. Currently, although most of the lncRNAs have been reported to be involved in the stress response in many plants, their roles in the regulation of flowering time have been studied in model plants [23]. Previous studies have found that FLC in Arabidopsis is epigenetically regulated by lncRNAs COOLAIR and COLDAIR [59,60,61]. In this study, a lower expression level was noted for almost all coexpressed mRNAs of lncRNAs involved in chromatin, DNA/RNA, and protein modification at vernalization (T2, 0 °C) compared with freezing temperature (T3, −3 °C), as well as down-regulation at T2, indicating that these lncRNAs participate in epigenetic silencing by transferring euchromatin to heterochromatin and confer early bolting and flowering of A. sinensis. Representatively, the down-regulation of mRNAs HMGB2 and HMGB3 during vernalization transfers the heterochromatin to the euchromatin [42], which generates the ability of flowering; in contrast, their up-regulation at freezing temperatures inhibits flowering by keeping the heterochromatin, which indicates that their coexpressed lncRNAs play positive roles in regulating the flowering of A. sinensis. The down-regulation of mRNA REF6 below 0 °C weakens the demethylation of histone H3 and delays flowering time by inducing FLC expression [50,51]; meanwhile, there is an increased expression level with decreased temperatures, which indicates that this coexpressed lncRNA plays a negative role in regulating the flowering of A. sinensis. Flower formation occurs at the SAM and is a complex morphological event that is required not only for the circadian clock to measure the passage of time but also the regulation of meristem identity genes [42]. For the 6 representative coexpressed mRNAs of the 12 lncRNAs directly linked with flowering, SRR1 is involved in a circadian clock input pathway and regulation of the expression of clock-regulated genes such as CCA1 and TOC1 [62]; PHL is involved in the circadian rhythm and the regulation of the timing of transition [63]; PHYA is involved in the regulation of flowering time and expression of its own gene as negative feedback [64]; AGL62 is required for promoting the nuclear proliferation of early endosperm [65]; AGL79 is involved in positively regulating the transition of the meristem from the vegetative to reproductive phase [66]; and ATJ3 plays a continuous role in plant development, such as in photoperiodism, flowering, and positive regulation of flower development [67]. Previous studies found that mRNAs (e.g., miR156, miR169 and miR172) play a crucial role in developmental processes in rice, wheat, and maize, especially in the formation of the floral meristem, with miR172 controlling AP2-like genes [23,68,69]. Studies on the flowering of Chenopodium quinoa found that pivotal flowering homologs, including photoreceptor genes PHYA and CRY1, as well as genes associated with florigen-encoding genes (FT and TWIN SISTER of FT) and circadian clock-related genes (ELF3, LHY, and HY5), were specifically affected by night-break and competed with the positive- and negative-flowering lncRNAs [70]. In this study, down-regulation of all the coexpressed mRNAs involved in circadian clock and meristem identity genes was observed, which can be considered acceptable and reasonable, because these mRNAs are often highly expressed at the plant development stage (at photoperiod), while their expression levels were examined during vernalization. In addition, increased expression with decreased temperatures indicates that their coexpressed lncRNAs play negative roles in regulating the flowering of A. sinensis. The expression of numerous lncRNAs has been demonstrated to be significantly affected by various stresses [23,30]. During vernalization, plants have to face and adapt to low temperature [38]. To date, extensive studies have reported that lncRNAs participate in defense responses associated with plant immunity and adaptation to the environment [22]. Heat-responsive lncRNAs have been found to be differentially expressed in Brassica juncea, and cold-responsive lncRNAs have been identified in grape and Arabidopsis [71,72,73]. lncRNAs could regulate HSP family genes (HSP82 and HSP83) in response to heat stress in Populus x canadensis Moench, and HSP18.1 in response to Cd stress Betula platyphylla [74,75]. For the eight representative coexpressed mRNAs of the 14 lncRNAs linked with the temperature response, ACBP6 confers resistance to cold and freezing [76]; ENO2 acts as a positive regulator in response to cold stress [77]; ADH1 is required for survival and acclimation in response to abiotic stresses (e.g., cold, salt, and drought) [78,79]; CSP2 contributes to the enhancement of cold and freezing tolerance [80]; and HSP17.8, HSP70-3, HSP70-10, and HSP90-3 play vital roles in adapting to biotic and abiotic stresses [81,82]. In this study, increased expression for cold-tolerated mRNAs (ACBP6, ENO2, ADH1, and CSP2), and decreased expression for heat-tolerated mRNAs (HSP17.8, HSP70-3, HSP70-10, and HSP90-3), were observed with decreased temperatures, which indicates that their coexpressed lncRNAs play positive roles in adapting to low temperatures. For vernalization to occur, sources of energy (sugars) and carbohydrate metabolism are required [37]. In recent years, the roles of lncRNAs in regulating metabolism in cancer, insulin, and chicken have been reported [83,84,85], while, in plants, studies are still limited. For the five representative coexpressed mRNAs of the 19 lncRNAs linked with carbohydrate metabolism, CSY4 is involved in the synthesis of socitrate from oxaloacetate [86]; GAPCP2 plays a critical role in glycolysis and exhibits up-regulation under drought stress [87,88]; At3g52990 is involved in the synthesis of pyruvate from D-glyceraldehyde 3-phosphate [89]; PGM2 participates in the synthesis of glucose [90]; and BAM1 is required for starch breakdown [91]. In this study, the differential expression of these coexpressed mRNAs regulating sucrose and starch metabolism provided energy for the morphogenesis of seedlings and adaptation to low temperatures during vernalization. Representatively, the decreased expression of metabolite-synthesized mRNAs (CSY4, At3g52990, and PGM2), and increased expression of energy-produced mRNA GAPCP2 and metabolite-degraded mRNA BAM1, were observed with decreased temperatures, which indicates that their coexpressed lncRNAs play positive roles in carbohydrate metabolism. Endogenous hormones such as gibberellin, auxin, cytokinin, brassinosteroid and abscisic acid can either inhibit or promote flowering [37]. In previous studies, a pre-miRNA of miR393 was identified in Brassica rapa during vernalization, and the overexpression of an miR393-resistant form of TIR1 (mTIR1) could enhance auxin sensitivity, thus leading to pleiotropic effects on plant development [92]. For the 8 representative coexpressed mRNAs of the 13 lncRNAs linked with hormone signaling, ARF1 is involved in the recruitment of COPI and GDAP1 to membranes and various auxin-dependent developmental processes [93]; CUL1 participates in forming a SCF complex together with SKP1, RBX1, and a F-box protein and is involved in floral organ development, the auxin signaling pathway and ethylene signaling [94]; SOFL4 and SOFL5 are involved in cytokinin-mediated development [95]; GRF2 and GRF11 participate in the brassinosteroid (BR)-mediated signaling pathway [96,97]; ERF3 is found to be differentially expressed in response to stresses and also regulates other ERFs [98]; and SF1 is required for development and is involved in the alternative splicing of FLM pre-mRNA [99]. In this study, the differential expression of these mRNAs involved in hormone signaling also played certain roles in regulating the flower-bud differentiation of seedlings and cold tolerance during vernalization. In previous studies, GRF2 and ERF3 were found to be down-regulated, while GRF11 was up-regulated in response to cold stress [100,101]; here, contrary findings for mRNAs GRF2 and GRF11 were observed with temperatures decreased, which indicate that their coexpressed lncRNAs may play negative roles in hormone signaling. The interaction between SF1 and FLM pre-mRNA controls flowering time in response to temperature [102]; here, decreased expression of mRNA SF1 was observed with decreased temperatures, which indicates that this coexpressed lncRNA may play a positive role in hormone signaling. Energy generation and the transport of energy, nutrients and metabolites play essential roles in growth and development and stress tolerance [103]. For the 8 representative coexpressed mRNAs of the 43 lncRNAs linked with energy and transport, PURU1 is involved in photorespiration and participates in preventing the excessive accumulation of 5-formyl tetrahydrofolate [104]; MES16 is involved in chlorophyll breakdown by its demethylation [105]; GPT1 is involved in NADPH generation through a series of processes including Glc6P transport, starch biosynthesis, fatty acid biosynthesis, and oxidative pentose phosphate [106]; ABCF5 belongs to the ABC transporter superfamily and is involved in protein transport [107]; SECA2 is involved in protein export coupling ATP hydrolysis [108]; VPS26A plays a role in vesicular protein sorting and is essential in endosome-to-Golgi retrograde transport [109]; CML19 is a potential calcium sensor that binds calcium and is involved in the early response to stress [110]; and NHX6 is involved in trafficking to the vacuole and exchanging the low-affinity electroneutral Na(+) or K(+)/H(+) [111]. In this study, the differential expression of these coexpressed mRNAs associated with energy and transport provided energy, nutrients, and metabolites for A. sinensis seedlings to obtain the capacity for vernalization and, meanwhile, to adapt to low temperatures. Based on the above functional analysis of lncRNAs identified in this study, flowering pathways proposed in the previous literature [14,15,16] and a general model of stress-responsive regulation by regulatory lncRNAs [23], a model of vernalization-induced bolting and flowering by regulatory lncRNAs in A. sinensis is proposed (Figure 8). Briefly, the vernalization of seedlings firstly triggers the differential expression of lncRNAs; then, the lncRNAs either act as a precursor of miRNAs or as a miRNA target mimic, which further binds their related targets; then, the binding of targets regulates the expression of their downstream mRNAs that are involved in various biological processes, including the temperature response, flowering pathways (i.e., epigenetic modification, flowering induction, carbohydrate metabolism, and hormone signaling), as well as energy and transport; finally, these biological processes promote the transition of the meristem from the vegetative phase to the bolting and flowering of A. sinensis.
Figure 8

A proposed model of vernalization-induced bolting and flowering by regulatory lncRNAs in A. sinensis.

5. Conclusions

From the above observations, we found that the lncRNAs positively or negatively regulated the expression of their downstream mRNAs through epigenetic changes at the level of transcription and post-transcription for the flowering of A. sinensis during vernalization. This coexpressed mRNA analysis of lncRNAs focused on five pathways, namely (1) chromatin, DNA/RNA, and protein modification; (2) floral development; (3) temperature response; (4) carbohydrate metabolism; and (5) hormone signaling. While several candidate lncRNAs were identified, their causative roles require further investigations.
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Authors:  Liwang Qi; Xinmin Li; Shougong Zhang; Daochang An
Journal:  Sci China C Life Sci       Date:  2006-06

2.  Discovery and annotation of long noncoding RNAs.

Authors:  John S Mattick; John L Rinn
Journal:  Nat Struct Mol Biol       Date:  2015-01       Impact factor: 15.369

3.  Nuclear factor Y-mediated H3K27me3 demethylation of the SOC1 locus orchestrates flowering responses of Arabidopsis.

Authors:  Xingliang Hou; Jiannan Zhou; Chang Liu; Lu Liu; Lisha Shen; Hao Yu
Journal:  Nat Commun       Date:  2014-08-08       Impact factor: 14.919

4.  Plastids contain a second sec translocase system with essential functions.

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Journal:  Plant Physiol       Date:  2010-11-04       Impact factor: 8.340

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6.  Loss of cytosolic phosphoglucomutase compromises gametophyte development in Arabidopsis.

Authors:  Barbara Egli; Katharina Kölling; Claudia Köhler; Samuel C Zeeman; Sebastian Streb
Journal:  Plant Physiol       Date:  2010-10-19       Impact factor: 8.340

7.  A homolog of splicing factor SF1 is essential for development and is involved in the alternative splicing of pre-mRNA in Arabidopsis thaliana.

Authors:  Yun Hee Jang; Hyo-Young Park; Keh Chien Lee; May Phyo Thu; Soon-Kap Kim; Mi Chung Suh; Hunseung Kang; Jeong-Kook Kim
Journal:  Plant J       Date:  2014-04-23       Impact factor: 6.417

Review 8.  Long Non-Coding RNAs as Emerging Regulators of Pathogen Response in Plants.

Authors:  Yashraaj Sharma; Alok Sharma; Kashmir Singh; Santosh Kumar Upadhyay
Journal:  Noncoding RNA       Date:  2022-01-11

9.  Full-length transcriptome assembly from RNA-Seq data without a reference genome.

Authors:  Manfred G Grabherr; Brian J Haas; Moran Yassour; Joshua Z Levin; Dawn A Thompson; Ido Amit; Xian Adiconis; Lin Fan; Raktima Raychowdhury; Qiandong Zeng; Zehua Chen; Evan Mauceli; Nir Hacohen; Andreas Gnirke; Nicholas Rhind; Federica di Palma; Bruce W Birren; Chad Nusbaum; Kerstin Lindblad-Toh; Nir Friedman; Aviv Regev
Journal:  Nat Biotechnol       Date:  2011-05-15       Impact factor: 54.908

10.  How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments.

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