Jin Gu1,2, Wei Li3,4, Sheliang Wang5,6, Xiaoyan Zhang7, Anne Coules8, Guangda Ding9,10, Fangsen Xu11,12, Jian Ren13, Chungui Lu14, Lei Shi15,16. 1. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China. gujin@yearth.cn. 2. Microelement Research Center/Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China. gujin@yearth.cn. 3. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China. henry_xiaowei@sina.com. 4. Microelement Research Center/Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China. henry_xiaowei@sina.com. 5. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China. sheliangwang2017@mail.hzau.edu.cn. 6. Microelement Research Center/Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China. sheliangwang2017@mail.hzau.edu.cn. 7. School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Nottingham NG25 0QF, UK. xiaoyan.zhang2017@my.ntu.ac.uk. 8. School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Nottingham NG25 0QF, UK. anne.coules@ntu.ac.uk. 9. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China. dgd@mail.hzau.edu.cn. 10. Microelement Research Center/Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China. dgd@mail.hzau.edu.cn. 11. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China. fangsenxu@mail.hzau.edu.cn. 12. Microelement Research Center/Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China. fangsenxu@mail.hzau.edu.cn. 13. State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China. renjian@sysucc.org.cn. 14. School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Nottingham NG25 0QF, UK. Chungui.lu@ntu.ac.uk. 15. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China. leish@mail.hzau.edu.cn. 16. Microelement Research Center/Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China. leish@mail.hzau.edu.cn.
Abstract
Alternative splicing (AS) can increase transcriptome diversity, protein diversity and protein yield, and is an important mechanism to regulate plant responses to stress. Oilseed rape (Brassica napus L.), one of the main oil crops in China, shows higher sensitivity to boron (B) deficiency than other species. Here, we demonstrated AS changes that largely increased the diversity of the mRNA expressed in response to B deficiency in B. napus. Each gene had two or more transcripts on average. A total of 33.3% genes in both Qingyou10 (QY10, B-efficient cultivar) and Westar10 (W10, B-inefficient cultivar) showed AS in both B conditions. The types of AS events were mainly intron retention, 3' alternative splice site, 5' alternative splice site and exon skipping. The tolerance ability of QY10 was higher than that of W10, possibly because there were far more differential alternative splicing (DAS) genes identified in QY10 at low B conditions than in W10. The number of genes with both DAS and differentially expressed (DE) was far lower than that of the genes that were either with DAS or DE in QY10 and W10, suggesting that the DAS and DE genes were independent. Four Serine/Arginine-rich (SR) splicing factors, BnaC06g14780D, BnaA01g14750D, BnaA06g15930D and BnaC01g41640D, underwent differentially alternative splicing in both cultivars. There existed gene⁻gene interactions between BnaC06g14780D and the genes associated with the function of B in oilseed rape at low B supply. This suggests that oilseed rape could regulate the alterative pre-mRNA splicing of SR protein related genes to increase the plant tolerance to B deficiency.
Alternative splicing (AS) can increase transcriptome diversity, protein diversity and protein yield, and is an important mechanism to regulate plant responses to stress. Oilseed rape (Brassica napus L.), one of the main oil crops in China, shows higher sensitivity to boron (B) deficiency than other species. Here, we demonstrated AS changes that largely increased the diversity of the mRNA expressed in response to B deficiency in B. napus. Each gene had two or more transcripts on average. A total of 33.3% genes in both Qingyou10 (QY10, B-efficient cultivar) and Westar10 (W10, B-inefficient cultivar) showed AS in both B conditions. The types of AS events were mainly intron retention, 3' alternative splice site, 5' alternative splice site and exon skipping. The tolerance ability of QY10 was higher than that of W10, possibly because there were far more differential alternative splicing (DAS) genes identified in QY10 at low B conditions than in W10. The number of genes with both DAS and differentially expressed (DE) was far lower than that of the genes that were either with DAS or DE in QY10 and W10, suggesting that the DAS and DE genes were independent. Four Serine/Arginine-rich (SR) splicing factors, BnaC06g14780D, BnaA01g14750D, BnaA06g15930D and BnaC01g41640D, underwent differentially alternative splicing in both cultivars. There existed gene⁻gene interactions between BnaC06g14780D and the genes associated with the function of B in oilseed rape at low B supply. This suggests that oilseed rape could regulate the alterative pre-mRNA splicing of SR protein related genes to increase the plant tolerance to B deficiency.
Entities:
Keywords:
Brassica napus; alternative splicing; boron deficiency; differential alternative splicing genes; differential expressed genes; splicing factors
Alternative splicing (AS) is a widespread phenomenon in the majority of eukaryotic organisms that can generate one or multiple mRNAs isoforms from the same precursor mRNA (pre-mRNA) by using different splice sites [1,2]. The basic splicing process includes assembly of spliceosome and splicing [3]. Splice sites recognition of constitutive splicing by spliceosomes is regulated by 5′ and 3′ consensus cis-sequences and branchpoint [1]. Nevertheless, alternative splicing splice-site selection is also determined by cis-acting elements and trans-acting factors, which contain exonic/intronic splicing enhancers (ESEs/ISEs) and exonic/intronic splicing silencers (ESSs/ISSs), respectively. These sequences are recognized by Serine/Arginine-rich (SR) proteins and heterogeneous nuclear ribonucleoproteins (hnRNPs) that are associated with trans-acting factors and negative-acting factors. These trans-acting and negative-acting factors can promote or inhibit intron removal [4,5]. The different percent of regulatory cis-elements and differential expression of splicing factors in different cell types, tissues, developmental stages, and environmental conditions affect AS patterns that significantly increase transcriptome and proteome diversity [6,7].With the development of sequencing technique, more and more AS genes have been detected in plants. Four major types of AS events have been identified in plants: intron retention, alternative 3′ splice site, alternative 5′ splice site and exon skipping. Exon skipping is seen in the vast majority of the AS events [8]. However, intron retention is the most common form [9,10,11]. In Arabidopsis, 42–61% of the intron-containing genes are alternatively spliced [10,12]. Most AS isoforms that have a premature termination codon (PTC) are degraded by the nonsense-mediated mRNA decay (NMD) surveillance machinery, which can regulate the functional transcripts expression through a process termed regulated unproductive splicing and translation (RUST) [13,14]. It is reported that 13–18% of the introns of genes are alternatively spliced and regulated by NMD pathway in Arabidopsis, such as CIRCADIAN CLOCK-ASSOCIATED1 (CCA1) that is a MYB-related transcription factor [12].Plant stress-related genes are particularly prone to AS events, which often modulate the ratio between active and inactive isoforms in response to abiotic stress, thus fine-tuning the expression of key stress regulators [15]. Many alternatively spliced isoforms of AS genes show a tissue-specific expression and some of them are differentially expressed (DE) in plants in abiotic stress [7,16]. Recent genetic and transcriptomic analyses have identified important roles for numerous splicing factors in the control of plant abiotic stress responses [7,11,15].Boron (B) deficiency is a major problem in China and worldwide, which causes the low yield and poor quality of many crops [17]. In vascular plants and diatoms, B plays a key role in the physical and biochemical process, such as cell wall synthesis, cell membrane integrity, carbohydrate metabolism, phenols metabolism, pollen germination and pollen tube growth [18,19]. Oilseed rape (Brassica napus L.) requires much more B than other species for growth and development and is sensitive to B deficiency [20]. A B-efficient B. napus cultivar Qingyou10 (QY10) and a B-inefficient B. napus cultivar Westar10 (W10) were screened by two-pace method (biomass screens at seedling and seed yield assessment at maturity) under contrasting B supply [21]. Proteomic analysis in the roots of QY10 with B deficiency in both long-term and short-term revealed the proteins in response to B deficiency involved in transporter, cell wall structure, defense related protein, carbohydrate and energy metabolism, antioxidant and detoxification mechanism, signaling and regulation, amino and nucleic acids metabolism and fatty acid metabolism [22,23]. qBEC-A3a, a major QTL for B efficiency, plays a significant role in improving B efficiency under B deficient conditions [24,25]. Exploiting quantitative trait locus (QTL) fine mapping and digital gene expression (DGE) analyses identified a nodulin 26-like intrinsic protein gene (NIP), which encodes a likely boric acid channel. A co-expression network analysis of the putative B transporters also highlighted its central role in the B uptake efficiency of B. napus [25]. Moreover, the B transporter BnaC4.BOR1;1c is critical for inflorescence development and fertility under B limited conditions in B. napus [26].Alternative splicing is an important mechanism to regulate plants responses to abiotic stress [7,15,27,28,29]. The AS genes of B. napus under B deficiency have not been reported. In this study, RNA-Seq was used to investigate the AS events and DAS events in response to B deficiency in B. napus cultivars QY10 and W10. This should contribute to our understanding of the B deficiency response mechanism in oilseed rape, and therefore assist in efforts to improve B-efficiency in B. napus.
2. Materials and Methods
2.1. Plant Materials and Growth Conditions
B-efficient B. napus cultivar Qingyou 10 (QY10) and B-inefficient B. napus cultivar Westar 10 (W10) were used in this study. The seedlings were cultured using Hoagland solution [30] in a growth chamber. Then, 25 µL H3BO3 (10 µmol/L) and 0.25 µL H3BO3 (10 µmol/L) were applied in the solution to create a treatment with sufficient B and a treatment with deficient B with three replicates, respectively. The seedlings were grown in an illuminated culture room at 20 °C under a 16 h light/8 h dark cycle. The plants were arranged on a plant tray that had 9 × 6 holes with 5.6 cm between plants. The nutrient solution was oxygenated by an air pump and was replaced weekly. The pH of the nutrient solution was maintained at 5.7–6.0. When the seedlings showed B deficient symptoms (30 days), the root (R), old leaves (OL) and juvenile leaves (JL) of three plants of QY10 and W10 were sampled for RNA extraction, respectively. All samples were immediately frozen in liquid nitrogen and then stored at −80 °C.
2.2. RNA-Seq
Total RNA was extracted using an RNeasy Plant Kit (Bioteke RP1202) according to the manufacturer’s instructions. First, 1.5 µg total RNA from each sample were used for preparing RNA-Seq libraries (cDNA libraries). The manufacturer’s protocol (the Illumina Truseq RNA sample prep Kit, Illumina Inc., San Diego, CA, USA) was used to generate sequencing libraries. The PCR amplification products were checked, excised and purified by agarose gel electrophoresis and MinElute PCR Purification Kit (QIAGEN, Hilden, Germany). The final products were loaded onto flow cell channels with a concentration of 2 pM by using 2 × 100 bp pair-end sequencing strategy. The sequencing analysis were conducted in the National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University using Illumina HiseqTM 2000 platform (Illumina Inc., San Diego, CA, USA). All raw data were deposited in the NCBI Sequence Read Archive (Bioproject accession number, PRJNA393069) [31].
2.3. Reads Alignment, Transcript Assembly and Junction Prediction
The average reads generated from these RNA-Seq libraries was more than 170 million (Table S1). All the above sequences were trimmed based on quality (Q ≥ 30) and 68.2% of clean reads were mapped on the reference genome of Darmor-bzh (Table 1) using TopHat software (v2.0.12) [32]. The aligned reads were assembled into transcripts using cufflinks software (v2.2.1) [33]. The cuffcompare package with cufflinks suite program was used to identify novel genes and transcripts that are identical to the B. napus reference genome. In addition, TopHat software (v2.0.12) was also used to predict the splice junctions, and to identify the known and novel splice junctions according to the gene information with default parameters. In principal component analysis (PCA) of all genes, the replicate samples showed a high similarity with respect to the first two principal components, little variation within group and a good separation of groups (Figure S1).
Table 1
The starting reads, clean reads ratio, and mapped reads ratio against in the B. napus reference genome of c.v. Darmor-bzh.
No. of Reads (Millions)
Reads Percentage (%)
Starting reads
2078.8
-
Clean reads
1921.9
92.45
Mapped reads
1310.9
68.2
2.4. Detection of Alternative Splicing Events
All RNA CEL files were normalized using the RPKM (Reads Per kb per Million reads) method [34]. Alternative splicing events were identified by the AS transcriptional landscape visualization tool (AStalavista) [35]. Source codes for the AStalavista software (v3.0) are available online at http://genome.crg.es/astalavista/. TopHat (v2.0.12) was used to calculate the AS events numbers. This study focused on four main types of AS: intron retention, exon skipping (cassette exons), alternative 3′ splice site (alternative acceptor) and alternative 5′ splicing site (alternative donor).
2.5. Identification of Differential Alternative Splicing Events and Differentially Expressed Genes
Differential alternative splicing (DAS) events were analyzed using the program Replicate Multivariate Analysis of Transcript Splicing (rMATS, v3.0.9) [36]. A T-test was used to calculate p value of splicing events with Δ ψ. A stringent threshold, p ≤ 0.05 and |Δ ψ| ≥ 0.05, was used to define the DAS events of AS events between different cultivars or different tissues of oilseed rape. The events with p values less than 0.05 were identified as significantly different events. Differentially expressed genes (DEGs) were calculated using a t-test (corrected by Benjamin–Hochberg false discovery rate (FDR) multiple testing). Probe-sets with a FDR corrected p-value ≤ 0.05 and fold change of >2 were considered to be differentially expressed.
2.6. Semi-Quantitative RT-PCR Analysis
Total RNA was extracted using an RNeasy Plant Kit (Bioteke RP1202) according to the manufacturer’s instructions. The DNAase treatment is mentioned above. Synthesizing the cDNA used a reaction solution containing 1 µg RNA with HiFiScript, dNTP Mix, Primer Mix, 5 × RT Buffer, DTT and HiFiScript. The solution was incubated at 42 °C for 50 min, followed by 85 °C for 5 min. The cDNA was used as a PCR template in a 20 µL reaction system of semi-quantitative RT-PCR. To validate the DAS events, 12 pairs of primers were designed based on different DAS events including intron retention, alternative 3′ splice site and alternative 5′ splice site. The primers used are listed in Table S2.
2.7. Gene Ontology (GO) Analysis and KEGG Analysis
Blast2GO was used to determine the gene functional category with a cut-off of 1E-5 [37]. An internal Perl script was used to perform GO annotation based on Open Biological and Biomedical Ontologies (OBO) (http://purl.obolibrary.org/obo). Biochemical pathway was analyzed by Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology based on annotation system version 2.0 (KOBAS) [38]. The different pathways shown in the figures were chosen based on statistical significance (p < 0.05).
3. Results
3.1. Novel Transcripts and Novel Genes in B. napus
Assembly of QY10 and W10 under B sufficient and deficient conditions identified 135,036 expressed transcripts and 56,203 expressed genes, and each gene had two or more transcripts on average (Table 2). Many new transcripts and genes were discovered by comparing the transcripts of assembling and the reference genome. The numbers of novel isoforms were significantly higher than that of the reference isoforms in both QY10 and W10 whether under B sufficient or deficient conditions (Figure 1). GO analysis of the novel genes revealed that the categories of “ATP hydrolysis coupled proton transport” in biological process, “proton-transporting ATPase activity” in molecular function and “proton-transporting V-type ATPase, V0 domain” in cellular component were significantly enriched for common novel genes in QY10 and W10 under both B conditions (Figure 2). Change of ATP activity could affect the stability of cell membranes by changing the proton gradient on the plasma membrane at low B.
Table 2
The number of novel transcripts and novel genes in the root, juvenile leaves and old leaves of Qingyou10 and Westar10 under B sufficient and deficient conditions (above 1.0 FPKM).
Sample Name
Novel Transcripts
Reference Like Transcripts
Novel Genes
Reference Like Genes
BsQR1
32,762
16,656
1019
5877
BsQR2
33,451
16,384
1136
5766
BsQR3
33,662
16,661
1096
5841
BsQJL1
33,763
15,740
1147
5539
BsQJL2
35,091
15,637
1248
5742
BsQJL3
33,274
15,608
1221
5400
BsQOL1
34,228
14,921
1288
5033
BsQOL2
34,501
14,959
1299
5074
BsQOL3
33,610
14,592
1330
4927
BdQR1
35,565
16,441
1415
5648
BdQR2
35,780
16,570
1549
5643
BdQR3
36,428
16,731
1545
5658
BdQJL1
37,831
16,365
1601
5455
BdQJL2
36,892
16,614
1518
5625
BdQJL3
37,677
16,124
1500
5391
BdQOL1
37,624
16,125
1685
5291
BdQOL2
35,766
16,028
1473
5339
BdQOL3
36,421
16,189
1513
5383
BsWR1
34,561
16,128
1357
5563
BsWR2
35,245
16,801
1433
5777
BsWR3
34,940
17,124
1417
5895
BsWJL1
36,579
16,029
1513
5412
BsWJL2
38,206
16,252
1470
5382
BsWJL3
37,242
16,214
1529
5468
BsWOL1
38,490
15,781
1812
5114
BsWOL2
37,855
15,850
1767
5161
BsWOL3
37,224
15,411
1713
5025
BdWR1
35,174
16,653
1407
5738
BdWR2
35,790
17,013
1483
5830
BdWR3
36,108
16,838
1494
5766
BdWJL1
36,001
15,875
1498
5328
BdWJL2
37,751
16,557
1588
5538
BdWJL3
36,854
15,976
1523
5360
BdWOL1
36,841
16,041
1559
5325
BdWOL2
36,942
15,973
1485
5335
BdWOL3
35,714
15,746
1517
5284
Note: Bs, B sufficient condition; Bd, B deficient condition; Q, QY10, Qingyou10, B-efficient cultivar; W, W10, Westar10, B-inefficient cultivar; R, root; JL, juvenile leaf; OL, old leaf; 1, 2 and 3 indicate Replication 1, Replication 2, and Replication 3, respectively.
Figure 1
The proportion of assembled transcripts and number of novel genes in the root, old leaves and juvenile leaves of B. napus cultivars Qingyou10 (QY10) and Westar10 (W10) under boron (B) sufficient and deficient conditions: (a) the proportion of novel isoforms, the isoforms mapped to the reference, and the isoforms identical to the reference; and (b) Venn diagram of the overlap of the novel genes. Q, QY, Qingyou10; W, W10, Westar10; Bs, B sufficient condition; Bd, B deficient condition.
Figure 2
GO terms of the functional categorization of the same novel genes in the root, old leaves and juvenile leaves of B. napus cultivars Qingyou10 (QY10) or Westar10 (W10) under boron sufficient and deficient conditions.
3.2. Identification of AS Events in QY10 and W10 under B Sufficient and Deficient Conditions
In total, 11,040,252 splice junctions were identified in all 36 RNA-Seq libraries (Table S3). Four major types of AS events, namely exon skipping, alternative 5′ splice site, alternative 3′ splice site and intron retention, were investigated in this study (Figure 3). Under B sufficient conditions, the numbers of AS events and genes in the root, juvenile leaves and old leaves of W10 were higher than those of QY10 (Figure 4). The numbers of AS events and genes in root and juvenile leaves of W10 were also higher than those of QY10 under low B conditions (Figure 4). Moreover, the numbers of AS events and genes in both QY10 and W10 under B deficient conditions were higher than those under B sufficient conditions.
Figure 3
Four major types of the alternative splicing events occurred in B. napus cultivars Qingyou10 and Westar10. Exon skipping (ES), alternative 5′ splice site (A5SS), alternative 3′ splice site (A3SS), and intron retention (RI) are shown schematically. The orange/transparent boxes represent exons, green boxes represent sequencing reads and lines represent introns.
Figure 4
The numbers of the alternative splicing (AS) events and genes in B. napus cultivars Qingyou10 (QY10) and Wesatr10 (W10) under boron (B) sufficient and deficient conditions. Q, QY10, Qingyou10; W, W10, Westar10; Bs, B sufficient condition; Bd, B deficient condition; R, root; JL, juvenile leaves; OL, old leaves.
The AS genes with the types of splicing of “intron retentions (RI)” and “alternative 3′ splice site (A3SS)” were the largest fraction, whereas the AS genes with “exon skipping (ES)” were the least fraction among all the AS genes in both cultivars whether under B sufficient or B deficient conditions (Figure 5). The number of AS genes with “alternative 5′ splice site (A5SS)” was between the types of “RI”, “A3SS” and “ES”. Most AS genes had one type of AS in the root, juvenile leaves and old leaves in W10 and QY10 under B sufficient and deficient conditions (Figure 6 and Table S4). Only a small portion of AS genes had all four types of AS in the same organ across two cultivars and two B treatments (Figure 6 and Table S4). The number of AS genes with the four types of AS in the juvenile leaves of W10 under B deficient condition was the most and that in the juvenile leaves of QY10 under B sufficient condition was the least. The number of AS genes with both “RI” and “A3SS” was the greatest and that of AS genes with both “ES” and “A5SS” was the least in each part investigated (Figure 6 and Table S4).
Figure 5
The number of genes of four types of alternative splicing (AS) in B. napus cultivars Qingyou10 (QY10) and Wesatr10 (W10) under boron (B) sufficient and deficient conditions. Q, QY10, QY10, Qingyou10; W, W10, Westar10; Bs, B sufficient condition; Bd, B deficient condition; R, root; JL, juvenile leaves; OL, old leaves; A3SS, alternative 3′ splice site; A5SS, alternative 5′ splice site; RI, retain intron; ES, exon skip.
Figure 6
Venn diagram of the overlap of the four types of AS genes in B. napus cultivars Qingyou10 (QY10) and Westar10 (W10) under boron (B) sufficient and deficient conditions: (a) BsQR; (b) BsQJL; (c) BsQOL; (d) BdQR; (e) BdQJL; (f) BdQOL; (g) BsWR; (h) BsWJL; (i) BsWOL; (j) BdWR; (k) BdWJL; and (l) BdWOL. Q, QY10, Qingyou10; W, W10, Westar10; R, root; JL, juvenile leaves; OL, old leaves; Bs, B sufficient condition; Bd, B deficient condition.
The categories of “cell wall modification”, “glucose-6-phosphate transport”, “ion transport”, and “response to stress” were mostly enriched for AS genes, while the categories of “DNA packaging”, “ribosomal export” and “protein location” were enriched for no AS genes (Figure 7). These demonstrated that the genes with AS and non-AS had different functions. Moreover, the AS genes of QY10 and W10 identified in B deficient conditions showed more than that in B sufficient conditions. The AS of most of the genes tended to occur under abiotic stress conditions (Figure 7).
Figure 7
GO terms of the functional categorization of AS and non-alternative splicing (nonAS) genes (biological process) in the root, juvenile leaves and old leaves of B. napus cultivars Qingyou10 (QY10) and Westar10 (W10) under boron (B) sufficient and deficient conditions: (a) root of QY10; (b) juvenile leaves of QY10; (c) old leaves of QY10; (d) root of W10; (e) juvenile leaves of W10; and (f) old leaves of W10. AS, alternative splicing; nonAS, non-alternative splicing; Bs, B sufficient condition; Bd, B deficient condition; QR, root of QY10; QOL, old leaves of QY10; QJL, juvenile leaves of QY10; WR, root of W10; WOL, old leaves of W10; WJL, juvenile leaves of W10.
3.3. Differential Alternative Splicing in QY10 and W10 in B Deficient Conditions
In total, 159, 190 and 163 DAS genes were identified in root, juvenile leaves and old leaves of QY10, respectively, under B deficient conditions (Figure 8). Among them, 33 DAS genes were detected simultaneously in root, juvenile leaves and old leaves, and were involved in several important biological processes, such as “Phosphoglucomutase”, “Translation elongation factor EF1B”, “glutathione S-transferase phi 8” and “calcineurin B-like protein 9” (Table 3). In total, 24, 40 and 74 DAS genes were distinguished in root, juvenile leaves and old leaves in W10, respectively, in B deficient condition. Only two DAS genes coexisted in root, juvenile leaves and old leaves (Figure 8). They functioned as cystatin and phosphoribulokinase, respectively (Table 3). A total of 63 DAS genes were detected simultaneously in all three organs of QY10 and W10 under B deficient conditions. Moreover, 313 and 58 cultivar-specific DAS genes were identified in QY10 and W10, respectively (Figure 8).
Figure 8
Venn diagram of the overlap of differential alternative splicing (DAS) genes in the root, juvenile leaves and old leaves of B. napus cultivars Qingyou10 (QY10) and Westar10 (W10) under boron deficient conditions: (a) QY10; (b)W10; and (c) QY10 and W10 under B deficient conditions; QR, root of QY10; QOL, old leaves of QY10; QJL, juvenile leaves of QY10; WR, root of W10; WOL, old leaves of W10; WJL, juvenile leaves of W10.
Table 3
Thirty-three and two differential alternative splicing genes detected in root, juvenile leaves and old leaves simultaneously in B. napus cultivars Qingyou10 and Westar10, respectively.
Phosphoglucomutase/phosphomannomutase family protein
RI
BnaA07g16600D
PUR5
A3SS
BnaC05g24350D
radical-induced cell death1 (rcd1)
RI
BnaA03g30650D
Ribosomal L29 family protein
ES
BnaC09g54460D
Ribosomal protein S13/S18 family
A3SS
BnaA07g25750D
RNA-binding (RRM/RBD/RNP motifs) family protein
RI
BnaC06g14780D
RSZ32
A3SS
BnaA07g16660D
sedoheptulose-bisphosphatase (SBPASE)
ES
BnaC05g08610D
sugar transporter 1 (STP1)
A3SS
BnaC04g31660D
TLD-domain containing nucleolar protein
RI
BnaA03g07610D
Translation elongation factor EF1B
A3SS
BnaC04g56630D
unknown protein
RI
BnaCnng63660D
unknown protein
RI
BnaC03g03780D
VND-interacting 1 (VNI1)
A3SS
W10
BnaCnng40950D
Cystatin/monellin superfamily protein
A3SS
BnaC07g51220D
nicotinate phosphoribosyltransferase 1 (NAPRT1)
A5SS
Note: DAS, Differential alternative splicing; R, root; JL, juvenile leaves; OL, old leaves; A3SS, Alternative 3′ splice site; A5SS, Alternative 5′ splice site; RI, retain intron; ES, exon skip.
The percentages of the four major types of DAS genes in root, juvenile leaves and old leaves of QY10 under B deficiency, and juvenile leaves and old leaves of W10 under B deficiency, all showed that RI > A3SS, A5SS > ES. However, in the root of W10, the percentage of “ES” DAS genes was the highest, and that of “A5SS” DAS genes was the least among the four major types of DAS genes (Figure 9). If we used W10 as control, the total percentages of “RI” and “A3SS” DAS genes were the highest, whereas that of “ES” DAS genes was the least in QY10 under B sufficient or deficient conditions.
Figure 9
The number of DAS genes in the root, juvenile leaves and old leaves of B. napus cultivars Qingyou10 (QY10) and Westar10 (W10) under boron deficient conditions: (a,b) the total number of DAS genes (control, B sufficient condition) identified in QY10 and W10, respectively; and (c,d), the total number of DAS genes in QY10 (control, W10) under boron sufficient and deficient conditions, respectively. ① Ratio of four alternative splicing patterns in old leaves; ② ratio of four alternative splicing patterns in juvenile leaves; and ③ ratio of four alternative splicing patterns in root. DAS, differential alternative splicing; Bs, boron sufficient condition; Bd, boron deficient condition; QR, root of QY10; QOL, old leaves of QY10; QJL, juvenile leaves of QY10; WR, root of W10; WOL, old leaves of W10; WJL, juvenile leaves of W10. A3SS, Alternative 3′ splice site; A5SS, alternative 5′ splice site; RI, retain intron; ES, exon skip.
KEGG pathways showed that these DAS genes were involved in all kinds of stress response pathways in B. napus, such as “Glycolysis/Gluconeogenesis”, “Calcium signaling pathway”, “MAPK signaling pathway” and “Peroxisome” (Table 4). Some important DAS genes were involved in the B deficient responses, especially in the root in both QY10 and W10. For example, BnaC05g18490D was associated with the Glycolysis process, which encoded the phosphoglucomutase and regulated cell wall synthesis. B deficiency led to the increase in retention of intron 13 in the juvenile leaves and old leaves in QY10, and the decrease in retention of intron 13 in the old leaves in W10. In addition, BnaC07g18010D and BnaA02g29830D were involved in the cell wall synthesis and integrity of cell membrane, which is an important biological process in response to B deficiency. The two genes showed decreased intron retention in old leaves in W10 in B deficient conditions. The results of qRT-PCR of these genes are consistent with the RNA-Seq data (Figure 10). The change of pre-mRNA splicing could influence the metabolic processes in QY10 and W10 in response to B deficiency.
Table 4
KEGG pathways of differential alternative splicing genes in root, juvenile leaves and old leaves of B. napus cultivars Qingyou10 and Westar10 under B deficient conditions.
Tissues
KEGG Pathways
Pathway ID
No. of DAS Gene
p-Value
QR
Spliceosome
ko03040
13
3.08E-06
Carbon metabolism
ko01200
7
0.034913379
Carbon fixation in photosynthetic organisms
ko00710
3
0.034913379
Biosynthesis of amino acids
ko01230
6
0.034913379
mRNA surveillance pathway
ko03015
4
0.034913379
Glycolysis / Gluconeogenesis
ko00010
3
0.034913379
Citrate cycle (TCA cycle)
ko00020
2
0.034913379
Glyoxylate and dicarboxylate metabolism
ko00630
2
0.034913379
Pyruvate metabolism
ko00620
2
0.034913379
Sulfur metabolism
ko00920
1
0.034913379
Nitrogen metabolism
ko00910
1
0.034913379
Calcium signaling pathway
ko04020
1
0.034913379
Galactose metabolism
ko00052
1
0.035225944
MAPK signaling pathway
ko04010
1
0.035225944
RNA transport
ko03013
2
0.037548325
Arginine and proline metabolism
ko00330
1
0.038190214
Starch and sucrose metabolism
ko00500
2
0.039194028
Amino sugar and nucleotide sugar metabolism
ko00520
1
0.043604665
Oxidative phosphorylation
ko00190
1
0.046236768
Plant hormone signal transduction
ko04075
2
0.047198466
QJL
Carbon fixation in photosynthetic organisms
ko00710
4
0.011345749
Tryptophan metabolism
ko00380
3
0.011345749
Pentose phosphate pathway
ko00030
3
0.011345749
Glycolysis / Gluconeogenesis
ko00010
3
0.019619536
Spliceosome
ko03040
4
0.019619536
Glyoxylate and dicarboxylate metabolism
ko00630
2
0.019619536
Pyruvate metabolism
ko00620
2
0.019619536
ABC transporters
ko02010
1
0.019619536
Carbon metabolism
ko01200
4
0.019619536
Fructose and mannose metabolism
ko00051
1
0.019619536
MAPK signaling pathway
ko04010
1
0.019619536
Glycine, serine and threonine metabolism
ko00260
1
0.020680045
Arginine and proline metabolism
ko00330
1
0.021716355
Starch and sucrose metabolism
ko00500
2
0.021716355
Peroxisome
ko04146
1
0.021716355
Pentose and glucuronate interconversions
ko00040
1
0.021716355
Glutathione metabolism
ko00480
1
0.021865611
Amino sugar and nucleotide sugar metabolism
ko00520
1
0.024431115
Plant hormone signal transduction
ko04075
2
0.026222312
RNA transport
ko03013
1
0.02673548
Biosynthesis of amino acids
ko01230
1
0.029409127
QOL
Spliceosome
ko03040
7
0.030261395
AMPK signaling pathway
ko04152
5
0.030261395
Pyruvate metabolism
ko00620
3
0.047340426
Tryptophan metabolism
ko00380
2
0.049084834
WR
Ribosome
ko03010
2
0.000561484
WJL
Peroxisome
ko04146
2
0.027237847
AMPK signaling pathway
ko04152
2
0.042503393
Glyoxylate and dicarboxylate metabolism
ko00630
1
0.190757264
Glycolysis / Gluconeogenesis
ko00010
1
0.278858201
WOL
Starch and sucrose metabolism
ko00500
3
0.034551184
Amino sugar and nucleotide sugar metabolism
ko00520
2
0.076377304
Pentose phosphate pathway
ko00030
1
0.165990643
Galactose metabolism
ko00052
1
0.173014536
Note: DAS, Differential alternative splicing; Bs, B sufficient condition; Bd, B deficient condition; QR, root of QY10; QOL, old leaves of QY10; QJL, juvenile leaves of QY10; WR, root of W10; WOL, old leaves of W10; WJL, juvenile leaves of W10.
Figure 10
Validation of DAS events in the root, juvenile leaves and old leaves of B. napus cultivars Qingyou10 (QY10) and Westar10 (W10) under boron deficient conditions. The band with the red asterisk showed the fragment generated by the alternative splicing of the gene, which was determined according to the size of the retained intron fragment. The forward and reverse primers, P1 and P2, were designed based on the exon between the retained intron. Bs, boron sufficient condition; Bd, boron deficient condition; QR, root of QY10; QOL, old leaves of QY10; QJL, juvenile leaves of QY10; WR, root of W10; WOL, old leaves of W10; WJL, juvenile leaves of W10. RI, retain intron.
Most of the intron retention transcripts that had a premature termination codon (PTC) are degraded by the “nonsense-mediated mRNA decay (NMD)” surveillance pathway or are targeted by the microRNAs [12,14]. Sequence analysis of the intron retention transcripts of QY10 and W10 at low B showed that PTCs were found in all of these transcripts. The decrease or increase in retention of intron could increase or decrease the abundance of the functional transcripts, respectively. For example, the functional transcript levels of BnaC05g18490D, BnaC07g18010D and BnaA02g29830D were up-regulated in W10 under B deficient condition. In contrast, the functional transcript levels of these genes were down-regulated or unchanged in QY10 under B deplete condition.
3.4. DAS Genes and DE Genes in QY10 and W10 in B Deficient Conditions
Combined analysis of DE genes and DAS genes in root, juvenile leaves and old leaves of QY10 and W10 indicated that about 0.06% of DE genes showed AS (Table 5). Under B deficient conditions, the number of genes with both DAS and DE in the root of QY10 was the highest (32), and in the juvenile leaves of W10 was the least (13) (Table 5). If W10 were used as a control, the number of genes with both DAS and DE in the old leaves of QY10 under B sufficient conditions was the highest (31). No gene showed both DAS and DE in the juvenile leaves and old leaves of QY10 under B deplete conditions (Table 5). The number of genes with both DAS and DE was lower than that of the genes that were either with DAS or DE in QY10 and W10, which demonstrated that the DAS and DE genes were independent.
Table 5
The number of differential alternative splicing genes and differential expressed genes in the root, juvenile leaf and old leaf of B. napus cultivars Qingyou10 and Westar10 under boron deficient conditions.
Sample Names
DAS Genes
DE Genes
Overlap
BsQR vs. BdQR
179
3404
32
BsQJL vs. BdQJL
223
1482
30
BsQOL vs. BdQOL
178
1364
8
BsWR vs. BdWR
32
2053
7
BsWJL vs. BdWJL
47
1054
1
BsWOL vs. BdWOL
85
1181
13
BsQR vs. BsWR
174
3253
10
BsQJL vs. BsWJL
217
744
4
BsQOL vs. BsWOL
589
2769
31
BdQR vs. BdWR
37
102
3
BdQJL vs. BdWJL
49
51
0
BdQOL vs. BdWOL
62
196
0
Note: DAS, differential alternative splicing; DE, differential expressed; Bs, B sufficient condition; Bd, B deficient condition; QR, root of QY10; QOL, old leaves of QY10; QJL, juvenile leaves of QY10; WR, root of W10; WOL, old leaves of W10; WJL, juvenile leaves of W10.
Functional categorization of the DAS and DE genes in the root, juvenile leaves and old leaves of QY10 and W10 under B deficient conditions revealed that most of DAS and DE genes enriched in different functional pathways in biological process. For example, the categories of “mRNA processing”, “Succinyl–CoA metabolic process”, “signal transduction” and “cellular response to stress” were only enriched for DAS genes, whereas the categories of “cell wall formation”, “cell wall pectin metabolic process” and “cell wall organization” were only enriched for DE genes (Figure 11). Only a small group of DAS and DE genes were annotated to the same function. For example, the categories of “starch metabolism process” and “glucose metabolism process” were enriched for both DAS genes and DE genes (Figure 11).
Figure 11
GO terms of the functional categorization of DAS and DE genes (biological process) in the root, juvenile leaves and old leaves of B. napus cultivars Qingyou10 (QY10) and Westar10 (W10) under B deficient conditions: (a) root of QY10; (b) juvenile leaves of QY10; (c) old leaves of QY10; (d) root of W10; (e) juvenile leaves of W10; and (f) old leaves of W10.
The majority of the DAS genes had differential intron retention (DIR), such as BnaA07g33860D (Sulphate anion transporter); and alternative 3′ splice site (DA3SS), such as BnaA01g30340D (SANT/Myb domain) and BnaA06g17710D (alpha-glucan phosphorylase 2, PHS2) (Table S5). These genes also showed significant up-regulation or down-regulation under B deplete conditions (Table S5).
3.5. SR Splicing Factors in QY10 and W10 under B Deficient Condition
SR splicing factors play a crucial role to regulate pre-mRNA splicing in plants. A total of 34 SR splicing factors were identified in QY10 and W10 under B deficient conditions (Table S6). Four of these SR splicing factors, BnaC06g14780D, BnaA01g14750D, BnaA06g15930D and BnaC01g41640D, underwent DAS. Under B deplete conditions, A3SS occurred in the genes of BnaC06g14780D in the root and juvenile leaves; A5SS occurred in the genes of BnaA01g14750D in old leaves of QY10; and ES occurred in the gene of BnaC01g41640D in the root and old leaves of QY10 and BnaA06g15930D in the juvenile leaves of W10 (Table S6).BnaC06g14780D showed differential A3SS in the second intron of the root and juvenile leaves in QY10 under different B conditions (Figure 12). In addition, its expression level under B deficient conditions was lower than that in B sufficient conditions. Compared with the B. napus reference genome of Darmor-bzh, the A3SS imported a novel sequence. The exon insertion of BnaC06g14780D in the root and juvenile leaves in QY10 could increase the abundance of functional transcript in response to B deficiency (Figure 12). BnaA01g14750D had lower A5SS in intron 2 in the root of QY10 under B deficient conditions than B sufficient conditions. A5SS also produced a novel sequence with PTC (Figure 12). The exon insertion of BnaA01g14750D in the root of QY10 could also increase the abundance of the functional transcript under B deficient conditions. In addition, BnaA06g15930D and BnaC01g41640D were exon skipping, which constituted only a small portion of differentially expressed alternatively spliced genes in plants (data not shown).
Figure 12
Validation of differential alternative splicing factors in the root and juvenile leaves of B. napus cultivars Qingyou10 (QY10) and Westar10 (W10) under boron deficient conditions. The band with the red asterisk show the fragment generated by the alternative splicing of the gene, which was determined according to the size of the insert fragment. The forward and reverse primers, P1 and P2, were used to amplify the insert fragment and side exon. Bs, boron sufficient condition; Bd, boron deficient condition; QR, root of QY10; QOL, old leaves of QY10; QJL, juvenile leaves of QY10; WR, root of W10; WOL, old leaves of W10; WJL, juvenile leaves of W10. A3SS, alternative 3′ splicing site; A5SS, alternative 5′ splicing site.
BnaC06g14780D was a seed gene, and its downstream target genes were associated with the function of B [18], such as expansion protein (BnaA09g52970D) and bZIP transcription factor (BnaC04g52770D) (Table 6 and Figure S2).
Table 6
Different types of target genes and gene interaction in the splicing factor gene network of B. napus cultivars Qingyou10 and Westar10 under boron deficient conditions.
Gene Name
Target Genes
Z-Score
Gene Description
DAS Type-Regulation
Boron Deficient/Boron Sufficient
QR
QJL
QOL
WR
WJL
WOL
BnaC06g14780D
BnaC04g52770D
0.92
Basic-leucine zipper (bZIP) transcription factor
RI
-
-
-
-
-
BnaC01g37580D
0.91
Protein kinase domain
ES
-
ES
ES
-
-
BnaA09g52970D
0.88
Expansin
RI
-
-
-
-
-
BnaA01g14590D
0.87
Zinc finger, RING-type
-
-
RI
-
-
-
BnaC04g12670D
0.86
Folate-biopterin transporter
-
A3SS
-
-
-
-
BnaA05g30860D
0.83
Glycosyl hydrolase family 100
-
-
ES
-
-
-
BnaC02g31500D
0.80
Pectinacetylesterase
-
-
-
-
ES
-
BnaA07g32180D
0.80
VPS35 homolog B
RI
-
RI
-
-
-
BnaA01g30320D
0.80
Phosphoglycerate kinase
A3SS
-
-
-
-
-
Note: Z-score indicated the level of target genes interacted with gene; the higher of Z-score, the higher level of target genes interacted with gene; Bs, B sufficient condition; Bd, B deficient condition; QR, root of QY10; QOL, old leaves of QY10; QJL, juvenile leaves of QY10; WR, root of W10; WOL, old leaves of W10; WJL, juvenile leaves of W10; A3SS, alternative 3′ splicing site; A3SS, alternative 3′ splicing site; RI, retain intron; ES, exon skipping; ES, exon skipping; “-”, non-DAS.
4. Discussion
Alternative splicing, which generates multiple transcripts from the same gene, is an important modulator of gene expression that can increase proteome diversity and regulate mRNA levels [15]. RNA-Seq data revealed AS in 48% of genes in B. napus cultivar “Darmor-bzh” [39]. In this study, 30% and 35% of intron-containing genes underwent AS in QY10 and W10 under B sufficient and deficient conditions, respectively (Table S4). The number of AS gene identified in this study was lower than that in the cultivar “Darmor-bzh”, possibly because the sequencing depth of the former is lower than the latter. The increase in AS genes of B. napus under B deficient conditions (Figure 4) indicated that AS might be an important strategy of posttranscriptional regulation, and the increase in AS could improve the molecular plasticity of plants to adapt to abiotic stress. Recently, a higher proportion of genes are detected showing AS under salt stress in Arabidopsis [29], drought stress in maize [40], heat shock in the moss Physcomitrella patens [28] and high temperature in grape [11]. AS regulates the plant response to abiotic stress are largely by targeting the abscisisc acid (ABA) pathway [15]. However, the AS genes of QY10 and W10 identified in B deficient conditions were not associated with the ABA signaling (Figure 7).In this study, the number of AS genes with the types of “RI”, “A3SS” and “A5SS” were much more than that with “ES” and others in B. napus, and RI was the most prominent types of AS (Figure 5). In B. napus cultivar “Darmor-bzh”, intron retention is also frequent (62%), whereas exon skipping is rare (3%) [39]. High proportions of AS genes with the types of “RI” are also found in maize [41] and Physcomitrella patens [42]. Although the intron retention is highly repressed by elevated temperature in Physcomitrella patens, the AS genes with the types of “RI” constituted the largest fraction of alternatively spliced genes [28]. Moreover, the genes responded to B deficient condition in this study, such as BnaC05g18490D, BnaC07g18010D and BnaA02g29830D, which were associated with cell wall synthesis and integrity of cell membrane, showed differential RI during B deficiency (Table S5). AS events based on different splicing types may lead to functionally relevant changes in the protein products [43]. For example, 4% of R2R3-MYB genes had undergone AS events in soybean, which generate a variety of transcripts to increase the complexity of transcriptome [44]. In this study, the categories of “cell wall modification”, “glucose-6-phosphate transport”, “ion transport”, and “response to stress” were mostly enriched for AS genes, while the categories of “DNA packaging”, “ribosomal export” and “protein location” were enriched for non-AS genes (Figure 7), which indicated that the genes with AS and non-AS play distinct physiological roles.B. napus is highly susceptible to B deficiency [20]. There are significant genotypic differences in the response to low-B stress among different B. napus cultivars [21]. Under B deplete conditions, 159, 190 and 163 DAS genes were identified in the root, juvenile leaves and old leaves of QY10 (B-efficient cultivar), respectively; however, only 24, 40 and 74 DAS genes were identified in the root, juvenile leaves and old leaves of W10 (B-inefficient cultivar) (Figure 8). The increase of AS events occurred under abiotic stress conditions could enhance the tolerance ability of plants [15]. Further experiments should be conducted to confirm whether the tolerance ability of QY10 was higher than that of W10 belong to the DAS genes generated in B-efficient cultivar (QY10) were far more than that in B-inefficient cultivar (W10) under B deplete conditions.The number of genes with both DAS and DE were far lower than that of the genes that were either DAS or DE in QY10 and W10 (Table 5), which demonstrated that the DAS and DE genes were independent. Functional categorization of DAS and DE genes of root, juvenile leaves and old leaves in QY10 and W10 under B deficient conditions revealed that most of DAS and DE genes enriched in differential functional pathways in biological process. However, only a small group of DAS and DE genes were annotated to the same function (Table 5, Figure 11). The majority of the DAS genes had differential intron retention (DIR) and alternative 3′ splice site (DA3SS), which also showed significant up-regulation or down-regulation in B deplete condition (Table S5). These results demonstrate that both transcriptional regulation and posttranscriptional regulation contribute to B. napus adaption to B deficiency.SR splicing factors play a crucial role in regulation of pre-mRNA splicing in plants [45]. In Arabidopsis, the AS pattern of members of SR splicing factors have been shown to change under various stress conditions, such as high light intensity, salinity and temperature stress [46,47,48]. This suggests that the stress-induced changes in SR splicing factors could in turn alter the factors of downstream targets in response to stress environments [48]. In this study, 34 SR splicing factors in QY10 and W10 were found under B deficient conditions (Table S6). Four of them, namely BnaC06g14780D, BnaA01g14750D, BnaA06g15930D and BnaC01g41640D, showed differential alternative spliced genes (Table S6). The decrease of novel sequence of BnaC06g14780D and BnaA01g14750D in the root of QY10 under B deplete conditions suggested that the increase of functional isoforms in the two SR genes might improve plant tolerance in response to B deficiency.
5. Conclusions
A total of ~33.3% genes showed AS in B. napus cultivars QY10 and W10. The AS genes with the types of splicing of “intron retentions (RI)” and “alternative 3′ splice site (A3SS)” in both cultivars showed the largest fraction whether under B deficient or sufficient conditions. Further experiments should be conducted to confirm whether the tolerance ability of QY10 was higher than that of W10 was attributed to far more DAS genes were identified in QY10 under low B conditions than in W10. To find the functional transcript of the genes, such as SR splicing factor BnaC06g14780D, which responds to low boron stress, would provide a new way to increase the ability of B. napus to cope with B deplete stress.
Authors: Shawn R Thatcher; Olga N Danilevskaya; Xin Meng; Mary Beatty; Gina Zastrow-Hayes; Charlotte Harris; Brandon Van Allen; Jeffrey Habben; Bailin Li Journal: Plant Physiol Date: 2015-11-18 Impact factor: 8.340