Next Article in Journal
Evolutionary Dynamics of the W Chromosome in Caenophidian Snakes
Previous Article in Journal
Differential Preference of Burkholderia and Mesorhizobium to pH and Soil Types in the Core Cape Subregion, South Africa
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Genes
Volume 9
Issue 1
10.3390/genes9010004
genes-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparative Transcriptome Analysis Reveals Hormone Signaling Genes Involved in the Launch of Culm-Shape Differentiation in Dendrocalamus sinicus

by
Lingna Chen
†,
Xiaojuan Guo
†,
Yongzhong Cui
,
Xianggan Zheng
and
Hanqi Yang
*
Research Institute of Resources Insects, Chinese Academy of Forestry, Bailongsi, Panlong, Kunming 650233, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Genes 2018, 9(1), 4; https://doi.org/10.3390/genes9010004
Submission received: 13 November 2017 / Revised: 9 December 2017 / Accepted: 19 December 2017 / Published: 22 December 2017
(This article belongs to the Section Plant Genetics and Genomics)
Browse Figures
Versions Notes

Abstract

:
Dendrocalamus sinicus is a sympodial bamboo species endemic to Yunnan Province, China, and is the strongest bamboo species in the world. However, there is substantial variation in the basal culm shape, i.e., straight culm (SC) and bent culm (BC), among different D. sinicus as a result of genetic and growth factors. This study performed a comparative transcriptomic analysis of bamboo shoots of two variants at the early, mid-, and late shoot-development stages to examine the molecular basis of this variation. In total, 98,479 unigenes were annotated, of which 13,495 were differentially expressed in pairwise comparisons of the six libraries. More differentially expressed genes (DEGs) were involved in SC than in BC culm development. The DEGs between BC and SC were assigned to 108 metabolic pathways. The 1064 DEGs in early development might mainly control the launch of culm-shape differentiation. Sixty genes encoding components of hormone signaling pathways were differentially expressed between BC5 and SC5, indicating complex hormonal regulation of culm differentiation. The AUX/IAA, ARF, PP2C, SnRK2, and ABF genes involved in auxin and abscisic acid signaling played key roles. These results help us to understand the molecular mechanism of culm variation and other aspects of culm development in D. sinicus.

1. Introduction

Plant asymmetric growth or bending occurs in response to gravity, light, temperature, water, ions, and chemicals [1]. Plant stem bending is a complex biological process that has a significant impact on plant architecture and plant resource utilization. The response of plants to gravity is an important cue in plant stem bending [1]. An asymmetrical distribution of endogenesis hormone, starch accumulation in gravity perception, and the effects of the actin cytoskeleton on cell expansion all play important roles in the gravitropic response [2,3,4]. To elucidate the molecular mechanism of the response in higher plants, many mutants with aberrant stem or shoot gravitropism have been isolated from Arabidopsis, maize, sorghum, rice, and mulberry trees [2,3,5,6]. These results indicate that the physiological effects of auxins, gibberellins, and brassinosteroids are crucial for asymmetric plant growth [4,7,8]. They regulate stem development by modulating cell division and expansion, resulting in the gravitropic bending of roots and shoots, as well as other aspects of plant development [7,8]. However, the molecular mechanisms by which these factors regulate the development of stem traits remain poorly understood.
Dendrocalamus sinicus L.C. Chia et J.L. Sun (hexaploid; 2n = 6x = 72) is a species of giant woody sympodial bamboo belonging to subfamily Bambusoideae in family Poaceae [9]. It is endemic to Yunnan, China. The species can reach 35 m in height, with culms 30 cm in diameter at breast height, and it is the strongest bamboo species documented [9,10]. The culm yield per unit area is 5–8 times as that of Phyllostachys edulis, which is a major economic bamboo species in China [11]. In its native habitat, D. sinicus is important as a raw material for furniture, construction, and industrial paper pulp. In nature, D. sinicus has two main stable culm-shape variants: the straight-culm (SC) and bent-culm (BC) types [12,13] (Figure 1). The ratio of fibrocyte length to diameter is 55.20–370.99 for straight-culm D. sinicus, reflecting elongate fibers, whereas the vascular strands and cells in the ground tissue of the bent-culm type show radial elongation, fibers, and vessel elements, with a relatively low ratio of fibrocyte length to diameter and short, wide fibers [14]. Molecular markers such as Random amplified polymorphic DNA (RAPD), Simple Sequence Repeat (SSR), rpl32-trnL, rbcL-psaI, and trnG-trnT indicate stable culm-shape variation in populations of D. sinicus [14,15,16]. Therefore, the straight- and bent-culm types of D. sinicus are an ideal comparison system for studying culm-shape development.
Regrettably, however, most molecular studies of woody bamboos have focused on flowering [17,18,19], rhizomes [20], bud burst and rattling growth [21,22,23,24,25], and primary thickening growth [26]. Little research has examined the molecular mechanism of culm-shape variation in D. sinicus and other bamboos. Comparative transcriptome analysis is a promising, powerful approach for discovering the molecular basis of specific biological events due to its high-throughput, accuracy, and reproducibility [27,28]. Here, we report a detailed comparative transcriptomic analysis of culm types SC and BC of D. sinicus at the early, mid-, and late shoot-development stages. This study explored the mechanism of culm-shape differentiation and identified significant differences in the transcriptomes of SC and BC D. sinicus. As a natural reference system, this difference in development between the two culm types provides an opportunity to study the molecular mechanism that controls culm-shape differentiation in D. sinicus. This study also enables a comprehensive understanding of culm development in woody bamboo.

2. Materials and Methods

2.1. Plant Materials

Two culm types, SC and BC D. sinicus from Ximeng (99°32′35 E, 22°43′51 N) and Menglian (99°39′53 E, 22°26′61 N) Counties, Yunnan Province, respectively, were sampled and used for the transcriptome analysis. The culm shape of D. sinicus stabilizes during the first month of bamboo shoot growth, when the plants are about 5 m tall and culm-shape differentiation can be seen visually [12]. The variation in culm shape is mainly observed at basal internodes within 1–3 m of the ground. Bent-culm type D. sinicus is characterized by nodal distortion within the basal portion (1–3 m) of the culm, which presents as shortening, swelling, and skewing, making the processing and utilization of bamboo difficult. On the other hand, straight-culm type D. sinicus grows normally. The culm taper is small, the height under the branches exceeds 12 m, and the nodal wall thickness at about 4 m off the ground can reach 2 cm. In June 2016, nine bamboo shoots with similar ground diameters were selected from each type and observed morphologically from Day 0, when the shoots were unearthed. Each type was sampled with three biological replicates at the early (5-day-old bamboo shoots), middle (15-day-old), and late (30-day-old) stages of the culm shape changes. The node and internode at the 15th node from the unearthed shoots were cut, transferred to liquid nitrogen immediately, and stored at –80 °C until RNA extraction. The samples of stages the 5-, 15-, and 30-day-old BC and SC shoots were named BC5, BC15, BC30, SC5, SC15, and SC30, respectively.

2.2. RNA Isolation, Library Construction, and Sequencing

Total RNA from each sample was isolated separately using a TransZol Up Plus RNA Kit (TransGen Biotech, Beijing, China) according to the manufacturer’s protocol. RNA integrity was evaluated in a 1.0% agarose gel with GelStain (TransGen Biotech, Beijing, China). Then, the quality and quantity of total RNA was assessed using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA) and Qubit (Thermo Fisher Scientific, Waltham, MA, USA). RNA samples from the three individuals at each stage and for each type were pooled in equal amounts to generate one mixed sample. The six mixed RNA samples were subsequently used for cDNA library construction and paired-end sequencing, which was performed on the Illumina HiSeq2000 system.

2.3. De Novo Transcriptome Assembly and Functional Annotation

The raw reads from transcriptome sequencing were filtered by removing adaptor sequences, reads containing poly-N, and low-quality reads (Q < 20). The clean reads were assembled into contigs using the program Trinity [29]. The transcriptome data in this study were deposited in the National Center for Biotechnology Information (NCBI) Short Read Archive (SRA) database under the accession PRJNA418355. This pipeline performs annotation to the NCBI non-redundant (Nr) database and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway annotation.

2.4. Functional Analysis of Differentially Expressed Genes

The transcript abundance was quantified using RSEM software [30]. Then, the differentially expressed genes (DEGs) between pairs of samples were detected using the DESeq package [31], with a p-value ≤0.01, a False Discovery Rate (FDR) <0.01, and a fold change >2. The KEGG Pathway enrichment of DEGs was evaluated using a hypergeometric test with a significance threshold of 0.05 after the Benjamini and Hochberg FDR correction in KOBAS (2.0) [32].

2.5. Validation of DEGs Using qRT-PCR

To validate the results of transcriptome sequencing, the expression of 10 DEGs involved in plant hormone signal transduction and phenylpropanoid biosynthesis was investigated using the CFX96 Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA). Primers for quantitative real-time PCR (qRT-PCR) were designed using Primer 3 [33] (Table 1). cDNA was synthesized from 10 μg of total RNA using TransScript II One-Step gDNA Removal and cDNA Synthesis SuperMix (TransGen Biotech, Beijing, China) as per the manufacturer’s protocol. GAPDH was used as an internal control gene for normalization. The amplifications were performed using the SYBR Green I method with TransStart Top Green qPCR SuperMix (TransGen Biotech, Beijing, China) according to the manufacturer’s instructions. The relative expression levels of the selected unigenes were analyzed using the 2–ΔΔCT method [34]. This experiment was carried out in three biological replicates, each with three technical replicates.

3. Results

3.1. Transcriptome Sequencing and De Novo Assembly of D. sinicus

To understand the transcriptional changes that may be involved in regulating culm-shape differentiation, BC and SC were sampled from 5-, 15-, and 30-day-old bamboo shoots (representing the early, mid-, and late shoot-development stages, respectively) for high-throughput sequencing. In total, 352 million raw reads were generated from the six libraries (BC5, BC15, BC30, SC5, SC15, and SC30), and 340 million (97%) high-quality (Q > 20) reads were obtained after removing lower-quality and adapter-contaminated reads (Table 2). The average 53.1% GC content of D. sinicus unigenes was in the range of GC levels of coding sequences in monocots [35].
The de novo transcriptome assembly generated 155,392 unigenes, with a maximum length of 15,773 bp and a mean length of 989 bp, of which 103,451 unigenes (66.6%) had lengths of 200–1000 bp, 33,511 unigenes (21.6%) had lengths of 1000–2000 bp, and 18,430 unigenes (11.9%) had lengths >2000 bp (Figure 2). The transcriptome was annotated using a search against the NCBI Nr, Gene Ontology (GO), and KEGG databases; 98,479 unigenes had at least one hit in these databases.

3.2. Differentially Expressed Genes Analysis during Culm Development

The expression levels of the genes in the two culm types of D. sinicus were examined at three growth stages, and DEGs were identified by pairwise comparisons of the six libraries (Figure 3). Comparisons of the three BC stages identified 4275, 1788, and 5831 DEGs in the pairs BC5 vs. BC15, BC15 vs. BC30, and BC5 vs. BC30, respectively (Figure 3a). For SC, 3993, 4574, and 6619 DEGs were identified in the pairs SC5 vs. SC15, SC15 vs. SC30, and SC5 vs. SC30, respectively (Figure 3b). The total number of DEGs across the three stages was higher in SC than in BC, with 9117 and 7161 DEGs, respectively. Comparisons of BC and SC at the same stages identified 2967, 2925, and 1686 DEGs in the 5-, 15-, and 30-day-old bamboo shoots, respectively (Figure 3c). Fewer DEGs were detected in the same-stage comparisons between the two culm types of D. sinicus than in the same-type comparisons at different stages. In total, 13,495 genes were differentially expressed in BC and SC at the three stages. Of these DEGs, 5888 were significantly regulated in both types during culm development; 1273 and 3229 genes were differentially regulated in BC and SC, respectively, indicating that more DEGs are involved in culm development in SC.
The KEGG enrichment analysis of DEGs assigned them to 108 KEGG pathways, including plant hormone signal transduction, phenylpropanoid biosynthesis, the citrate cycle, and oxidative phosphorylation (see Supplementary File S1, in which the details of significantly enriched genes in every KEGG pathway are shown). Table 3 shows the five largest pathways at every stage. At the three development stages, there were 1064, 1090, and 500 DEGs, respectively, between BC and SC. The plant hormone signal transduction pathways included the most DEGs between BC and SC in the 5-day-old bamboo shoots. The expression of 44 of 60 DEGs was higher in BC5 than in SC5. The number of DEGs involved in the phenylpropanoid biosynthesis pathway was always high, with 39, 50, and 40 DEGs, respectively, assigned to the pathway in 5-, 15-, and 30-day-old bamboo shoots. Of these, the expression level of 33, 15, and 22 DEGs was higher in BC, indicating a dramatic difference in lignin biosynthesis throughout the course of culm development.

3.3. DEGs Involved in Plant Hormone Signal Transduction

Plant hormones are involved in many different processes throughout the life of a plant, including growth, development, and senescence [36]. In this study, 428 DEGs assigned to hormone signal transduction, hormone biosynthesis pathways, hormone responsive proteins, and hormone transporter proteins were identified; 179, 108, 65, 37, 12, and 7 of them were involved in auxin, ethylene, abscisic acid (ABA), gibberellin (GA), jasmonic acid (JA), and brassinosteroid (BR) pathways, respectively. Of these, there were respectively 60, 31, and 14 DEGs between BC and SC at 5, 15, and 30 days of development. Most of them showed higher expression in BC compared with SC at the same development stage. As with the ABA signaling pathway, 15 protein phosphatase 2C (PP2C) and 6 ABRE Binding Factor (ABF) transcription factors had higher expression in BC. The same was true for the gibberellin receptor GID1 and DELLA gene in the GA signaling pathway and for jasmonic acid–amido synthetase (JAR1) and transcription factor MYC2 genes in the JA signaling pathway. Nevertheless, there were some exceptions; most of the auxin-responsive protein AUX/IAA and all SAUR families involved in auxin signal transduction were generally higher in SC.
Auxin, the first plant growth hormone discovered, plays a pivotal role in plant growth, including the development of roots, shoots, flowers, and fruit [37]. There were 179 DEGs that encoded genes such as auxin response factor (ARF), AUX/IAA, SAUR, PIN, ABC transporter, etc. Of these, 77 DEGs with similar expression patterns in BC and SC with culm development might participate in culm elongation. The genes in the upregulated groups with the highest expression were AUX/IAA, including the IAA1-like (Cluster-995.67344), IAA3-like (Cluster-995.68181), IAA17-like (Cluster-995.66645), and IAA30-like (Cluster-995.67202) genes. The gene expression increased gradually with development of the bamboo shoot. Another 56 DEGs with different expression patterns (Figure 4) should not be ignored in culm-shape differentiation of D. sinicus. The DEGs included AUX/IAA, ARF, SAUR, and CH3. Of these genes, 24 and 11 were AUX/IAA and ARF family members, respectively. Of these, the auxin-repressed 12.5 kDa protein-like (Cluster-995.68211) gene had the highest expression, followed by the ARP13-like (Cluster-995.66421) and IAA17-like genes (Cluster-995.68720).
The expression of genes in the ABA signaling pathway was also compelling. There were 15 PP2C, 15 sucrosenon-fermenting1-related protein kinase SnRK2, 6 ABF, and 5 ABA receptor PYR genes with differential expression. Three abscisic stress ripening (ASR) genes, Cluster-995.67334, Cluster-995.67322, and Cluster-995.67324, had the highest expression. They were sharply up-regulated on the 15th day of shoot development and maintained high expression in later development stages. In terms of the GA, ethylene, and JA signaling pathways, the regulated expression of GID1, DELLA, ETR, JAR1, MYC2, etc. indicated that they are also involved in shoot development.

3.4. DEGs Involved in Phenylpropanoid Biosynthesis

Phenylpropanoid-based polymers that have extensive physiological activity contribute substantially to regulating plant growth and defence against disease [38,39]. In our study, from the annotated 98,479 unigenes, 394 unigenes encoding 16 key enzymes were identified as involved in phenylpropanoid biosynthesis. Among these, 93 unigenes encoding 15 key enzymes showed different expression levels at different stages in BC and SC. They were mainly involved in lignin synthesis, and included p-hydroxyphenyl lignin (H type), guaiacyl lignin (G type), 5-hydroxyguaiacyl lignin, and syringyl lignin (S type) (Figure 5), suggesting obvious differences in lignin synthesis between BC and SC plants. Of the 93 DEGs encoding peroxidase, 47 had high expression, which varied greatly throughout development. The fragments per kilobase of transcript per million mapped reads (FPKM) of Cluster-995.67494 exceeded 4000 in SC15. The expression of the unigenes decreased throughout BC development, whereas it increased initially and then decreased with development in SC. As the first step, PATL had continuous high expression with culm development. The FPKM value of Cluster-995.66569 exceeded 4000 in BC30 and SC30.

3.5. Verification of the Gene Expression through qRT-PCR

The results of the DEG analysis obtained from the transcriptome data were validated in a biologically independent manner using qRT-PCR. Ten plant hormone signal transduction and phenylpropanoid biosynthesis DEGs were selected. Of these, nine showed similar expression patterns in the qRT-PCR data and the transcriptome results (Figure 6), suggesting the consistency of the results.

4. Discussion

4.1. Transcriptome Changes in Culm-Shape Differentiation of D. sinicus

The culm development of D. sinicus is regulated by complex, endogenous factors according to a transcriptome analysis of different internodes originating from the same bamboo plant [22]. However, the study elucidated the molecular processes involved in culm elongation of straight-culm D. sinicus rather than differentiation of two culm-shape variants. To understand molecular mechanisms controlling the culm-shape differentiation, we sequenced and annotated the transcriptome of three critical culm-development stages from the bent-culm D. sinicus and the straight-culm D. sinicus. We generated 177 and 163 million paired end reads from types BC and SC, respectively. Unfortunately, de novo transcriptome assembly of D. sinicus had the lower mapped reads about 70% because of suboptimal parameter settings for polyploids in Trinity program [40]. More than 88 percent of unmapped reads matched to monocots such as Oryza sativa, Setaria italic, and Zea mays. The 98,479 annotated genes constituted 1.5 times the number of annotated genes in the transcriptome analysis of culm elongation of D. sinicus [22]. A total of 13,495 DEGs showed an enormous change during shoot development in the two types of D. sinicus. This is the first report of the molecular mechanism of culm-shape variation in woody bamboo obtained by contrasting a natural reference system. The greater number of DEGs involved in culm development in SC provided valuable clues for further elucidation of the mechanisms regulating culm development [36]. Although the draft genome of Phyllostachys heterocycla [41] and transcriptome data of other bamboo species have been reported [18,22,42], our study was the first to examine culm-shape differentiation of D. sinicus.
Based on the comparative transcriptome analysis, the two types examined in our study showed distinct differences related to culm development. There were significantly more DEGs between BC and SC in the 5- and 15-day-old bamboo shoots, indicating that culm shape differentiates at an early development stage in D. sinicus. The Pearson correlation coefficients in the analysis of gene expression levels between BC and SC were 0.575, 0.618, and 0.69 at days 5, 15, and 30, respectively, which strengthened this result. The KEGG pathways analysis found that most of the DEGs were involved in plant hormone signal transduction and phenylpropanoid biosynthesis, suggesting that they have prominent roles in culm development in D. sinicus.

4.2. DEGs Involved in Plant Hormone Signal Transduction during Culm-Shape Differentiation

Plant stem or culm development is a complex biological process, and many genes participate in the hormone signal transduction and secondary metabolism that are involved in plant stem bending and related traits [43,44]. The present comparative transcriptome analysis of the two types of D. sinicus supports this view. In this study, the differential expression of 60 related genes in early development indicated that they played important roles in launching culm-shape differentiation in D. sinicus.
Auxin, which was the first plant endogenous hormone discovered, promotes cell division to adjust stem growth and development by regulating the cell cycle, enabling extension of the cell wall, and inducing the synthesis of RNA and proteins [37]. The asymmetrical distribution of IAA in tissues is the main cause of plant organ bending [37]. In Arabidopsis thaliana, knockout or suppression of AUX1 and PIN2, two IAA carriers, completely blocked or altered root gravitropism bending [8]. Overexpression of rice OsIAA1, OsIAA3, and OsIAA4 also revealed that they are involved in root, stem, and leaf architecture [45]. Very recent reports suggest that auxin signaling genes play a central role in shoot growth in woody bamboo [26,43,46]. In our study, gene families participating in auxin synthesis and signal transduction were obtained from the transcriptomes of two types of D. sinicus. Among 56 DEGs that had markedly different expression patterns in BC and SC, 24 and 11 were AUX/IAA and ARF family members, respectively, including IAA1 (Cluster-995.83130), IAA4 (Cluster-995.72629), IAA7 (Cluster-995.113198), IAA14 (Cluster-995.73908), IAA17 (Cluster-995.66288 and Cluster-995.68720), and IAA19 (Cluster-995.58739). Their role in root, hypocotyl, shoot, and inflorescence gravitropism bending has been well documented in Arabidopsis mutants and rice [45,47,48]. The role of homologous genes in culm-shape differentiation of D. sinicus should be noted. In addition, ARF7 (Cluster-995.67304), IAA2 (Cluster-995.61978), SAUR32 (Cluster-995.46392), and RAC6 (Cluster-995.69558), which had completely opposite expression patterns, might have important roles in culm differentiation.
However, culm development is not the result of the action of a single hormone, but involves complex cross-talk among plant hormones [44]. In this study, numerous genes in the ABA signaling pathway showed obvious differences in expression between the two types of D. sinicus. They included 15 PP2C and 15 SnRK2 gene family members, which are important ABA signal mediators [49]. Additionally, higher expression of two important GA signaling genes, GID1 and DELLA, in BC5 compared with SC5 suggested that culm-shape differentiation in D. sinicus depends on GA signal transduction. Several studies have suggested that the interaction of auxin with GA and BRs is involved in the gravitropic response of shoots and roots [50,51]. These findings suggest that culm-shape differentiation in D. sinicus is dependent on a hormone-mediated signal transduction process, especially involving auxin and ABA.

4.3. DEGs Involved in Lignin Biosynthesis during Culm-Shape Differentiation

Our transcriptomic data revealed differences in the expression of lignin synthesis-related genes during shoot development. Therefore, lignin synthesis probably facilitates the construction of structural components during bamboo culm development, including culm elongation [46,52,53]. In this study, 16 annotated enzymes involved in the biosynthesis of monolignols, including H-, G-, and S-type monolignols, played roles in the formation and development of the bamboo [38]. The differences in the expression of genes encoding key enzymes in the pathways hinted at variation in lignin biosynthesis in D. sinicus (Figure 5). PAL/PTAL catalyzes the first step in the phenylpropanoid biosynthesis pathway, and PAL/PTAL expression and abundance directly affect the synthesis of lignin [39]. In our study, six DEGs between BC and SC encoding PAL/PTAL were up-regulated as culm development proceeded in BC, whereas only Cluster-995.68104 and Cluster-995.68617 were up-regulated in SC, although the greatest expression was seen in BC30 and SC30. In the 5-day-old bamboo shoots, the expression of 6 PAL/PTAL was much higher in SC compared with BC, which was opposite the expression in the 15-day-old bamboo shoots, revealing greater changes in lignin biosynthesis in BC occur during the early stage of culm development. The contribution of the corresponding enzymes leading to different monolignol compositions and resulting in various ratios of different units of lignin have been summarized, and the effects of the corresponding genes have been analyzed in detail [38,54,55]. We found that CCoAOMT and PAL were expressed similarly. Higher expression of these genes during the early development stage suggested that there is more G-type lignin in BC. CCoAOMT suppression in Medicago sativa, Zea mays, and Pinus radiate causes a reduction in G-type lignin [56,57,58,59], and the RNAi-mediated suppression of PAL in Salvia miltiorrhiza also led to abnormal phenotypes, including stunted growth, delayed root formation, and altered leaves [60]. Further research is needed to understand the function of PAL and CCoAOMT in D. sinicus. And cellulose biosynthesis genes, such as cellulose synthase (CesA) and cellulose synthase-like (CSL) genes, were also found to be expressed contribution to rapid culm development of D. sinicus, as previously reported in Dendrocalamus hamiltonii [25].
Overall, culm-shape differentiation of D. sinicus is a complex developmental process that depends on the balanced expression of genes within a complex network. The launch of culm-shape differentiation in D. sinicus might be controlled mainly by the genes in hormone transduction pathways, whereas culm development might be mainly controlled by the genes in phenylpropanoid biosynthesis pathways [22,43]. Further studies of the functions of these potential candidate genes might help us to understand culm-shape differentiation in D. sinicus.

Supplementary Materials:

The following are available online at www.mdpi.com/2073-4425/9/1/4/s1. Supplementary File S1: Significantly enriched genes in every KEGG pathways.

Acknowledgments

This research was funded by the Fundamental Research Funds of the Chinese Academy of Forestry (CAFYBB2017ZX001-8; CAFYBB2017QA014), the National Natural Science Foundation of China (31270662), Department of Sciences and Technology of Yunnan Province (2014HB041, 2008OC001).

Author Contributions

H.Q.Y. conceived and designed the experiments; L.N.C. and X.J.G. performed the experiments and the data analysis; L.N.C. wrote the paper; Y.Z.C. and X.Q.Z. participated in analyzing the data and sampling, H.Q.Y. revised critically the manuscript. All authors read, reviewed and approved the final manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Arteca, R.N.; Arteca, J.M. Characterization of gravitropic inflorescence bending in brassinosteroid biosynthesis and signaling Arabidopsis mutants. J. Plant Physiol. 2011, 168, 1200–1207. [Google Scholar] [CrossRef] [PubMed]
  2. Kato, T.; Morita, M.T.; Fukaki, H.; Yamauchi, Y.; Uehara, M.; Niihama, M.; Tasaka, M. SGR2, a phospholipase-like protein, and ZIG/SGR4, a SNARE, are involved in the shoot gravitropism of Arabidopsis. Plant Cell 2002, 14, 33–46. [Google Scholar] [CrossRef] [PubMed]
  3. Multani, D.S.; Briggs, S.P.; Chamberlin, M.A.; Blakeslee, J.J.; Murphy, A.S.; Johal, G.S. Loss of an MDR transporter in compact stalks of maize br2 and sorghum dw3 mutants. Science 2003, 302, 81–84. [Google Scholar] [CrossRef] [PubMed]
  4. Yang, W.; Ren, S.; Zhang, X.; Gao, M.; Ye, S.; Qi, Y.; Zheng, Y.; Wang, J.; Zeng, L.; Li, Q.; et al. BENT UPPERMOST INTERNODE1 encodes the class II formin FH5 crucial for actin organization and rice development. Plant Cell 2011, 23, 661–680. [Google Scholar] [CrossRef] [PubMed]
  5. Yamamuro, C.; Ihara, Y.; Wu, X.; Noguchi, T.; Fujioka, S.; Takatsuto, S.; Ashikari, M.; Kitano, H.; Matsuoka, M. Loss of function of a rice brassinosteroid insensitive1 homolog prevents internode elongation and bending of the lamina joint. Plant Cell 2000, 12, 1591–1606. [Google Scholar] [CrossRef] [PubMed]
  6. Sopian, T.; Feng, J.; Hirata, Y. Characterization of mulberry mutant growth response to gibberellin and abscisic acid application and its molecular analysis. J. Insect Biotechnol. Sericol. 2009, 78, 23–32. [Google Scholar]
  7. Cui, D.; Neill, S.J.; Tang, Z.; Cai, W. Gibberellin-regulated XET is differentially induced by auxin in rice leaf sheath bases during gravitropic bending. J. Exp. Bot. 2005, 56, 1327–1334. [Google Scholar] [CrossRef] [PubMed]
  8. Philosoph-Hadas, S.; Friedman, H.; Meir, S. Gravitropic bending and plant hormones. Vitam. Horm. 2005, 72, 31. [Google Scholar] [CrossRef] [PubMed]
  9. Geng, B.J.; Wang, Z.P. Gramineae Bambusiodeae. In Flora Reipublicae Popularis Sinica; Science Press: Beijing, China, 1996; Volume 9, pp. 3–16. ISBN 978-7-0302-7166-2. [Google Scholar]
  10. Hong, D.Y.; Blackmore, S. Plants of China. In A Companion to the Flora of China; Science Press: Beijing, China, 2005; pp. 319–320. ISBN 978-7-0303-8574-1. [Google Scholar]
  11. Hui, C.M.; Yang, X.Y.; Liang, N.; Chen, F. A study on the conservation and development of Dendrocalamus sinicus form Yunnan, China. Appl. Mech. Mater. 2014, 522–524, 1084–1088. [Google Scholar] [CrossRef]
  12. Hui, C.M.; Yang, Y.M.; Du, F. Basic Research on Eco-Biological Characteristics and Exploitation and Utilization of Dendrocalamus sinicus; Yunnan Science and Technology Press: Kunming, China, 2006; pp. 5–30. ISBN 978-7-5416-2347-9. [Google Scholar]
  13. Gu, Z.J.; Yang, H.Q.; Sun, M.S.; Yang, Y.M. Distribution characteristics, flowering and seeding of Dendrocalamus sinicus in Yunnan, China. For. Res. 2012, 25, 1–5. [Google Scholar]
  14. Pu, X.L. Studies on the Biological Characteristics of Dendrocalamus sinicus. J. Nanjing For. Univ. 2004, 28, 93. [Google Scholar]
  15. Li, P.; Du, F.; Pu, X.L.; Yang, Y.M. RAPD analysis of different variant types of Dendrocalamus sinicus. Acta Bot. Yunnanica 2004, 26, 290–296. [Google Scholar]
  16. Yang, H.Q.; Ruan, Z.Y.; Tian, B.; Yang, Y.M.; Sun, M.S. Genetic differentiation of four straight-culmed provenances of Dendrocalamus sinicus based on ISSRs. J. Zhejiang For. Coll. 2010, 27, 81–86. [Google Scholar]
  17. Lin, E.P.; Peng, H.Z.; Jin, Q.Y.; Deng, M.J.; Li, T.; Xiao, X.C.; Hua, X.Q.; Wang, K.H.; Bian, H.W.; Han, N.; et al. Identification and characterization of two Bamboo (Phyllostachys praecox) AP1/SQUA-like MADS-Box genes during floral transition. Planta 2009, 231, 109–120. [Google Scholar] [CrossRef] [PubMed]
  18. Zhang, X.M.; Zhao, L.; Larsonrabin, Z.; Li, D.Z.; Guo, Z.H. De novo sequencing and characterization of the floral transcriptome of Dendrocalamus latiflorus (Poaceae: Bambusoideae). PLoS ONE 2012, 7, e42082. [Google Scholar] [CrossRef] [PubMed]
  19. Biswas, P.; Chakraborty, S.; Dutta, S.; Pal, A.; Das, M. Bamboo flowering from the perspective of comparative genomics and transcriptomics. Front. Plant Sci. 2016, 7, 1900. [Google Scholar] [CrossRef] [PubMed]
  20. Wang, K.; Peng, H.; Lin, E.; Jin, Q.; Hua, X.; Yao, S.; Bian, H.; Han, N.; Pan, J.; Wang, J.; et al. Identification of genes related to the development of bamboo rhizome bud. J. Exp. Bot. 2010, 61, 551–561. [Google Scholar] [CrossRef] [PubMed]
  21. Cui, K.; He, C.Y.; Zhang, J.G.; Duan, A.G.; Zeng, Y.F. Temporal and spatial profiling of internode elongation-associated protein expression in rapidly growing culms of bamboo. J. Proteome Res. 2012, 11, 2492–2507. [Google Scholar] [CrossRef] [PubMed]
  22. Cui, K.; Wang, H.; Liao, S.; Tang, Q.; Li, L.; Cui, Y.; He, Y. Transcriptome sequencing and analysis for culm elongation of the world’s largest bamboo (Dendrocalamus sinicus). PLoS ONE 2016, 11, e0157362. [Google Scholar] [CrossRef] [PubMed]
  23. He, C.Y.; Cui, K.; Zhang, J.G.; Duan, A.G.; Zeng, Y.F. Next-generation sequencing-based mRNA and microRNA expression profiling analysis revealed pathways involved in the rapid growth of developing culms in Moso bamboo. BMC Plant Biol. 2013, 13, 119. [Google Scholar] [CrossRef] [PubMed]
  24. Cui, K.; Wang, H.Y.; He, C.Y.; Sun, D.; Zhang, J.P.; Liao, S.X.; Cui, Y.Z.; Li, L. Analysis of culm elongation in photoheterotrophic status of Dendrocalamus sinicus by comparative proteomics. Trees 2017, 31, 687–704. [Google Scholar] [CrossRef]
  25. Bhandawat, A.; Singh, G.; Seth, R.; Singh, P.; Sharma, R.K. Genome-wide transcriptional profiling to elucidate key candidates involved in bud burst and rattling growth in a subtropical bamboo (Dendrocalamus hamiltonii). Front. Plant Sci. 2017, 7, 2038. [Google Scholar] [CrossRef] [PubMed]
  26. Wei, Q.; Jiao, C.; Guo, L.; Ding, Y.; Cao, J.; Feng, J.; Dong, X.; Mao, L.; Sun, H.; Yu, F.; et al. Exploring key cellular processes and candidate genes regulating the primary thickening growth of Moso underground shoots. New Phytol. 2016, 214, 81–96. [Google Scholar] [CrossRef] [PubMed]
  27. Wu, Q.; Bai, X.; Zhao, W.; Xiang, D.; Wan, Y.; Yan, J.; Zou, L.; Zhao, G. De novo assembly and analysis of tartary buckwheat (fagopyrum tataricum Garetn.) transcriptome discloses key regulators involved in salt-stress response. Genes 2017, 8, 255. [Google Scholar] [CrossRef] [PubMed]
  28. Danchin, E.G.; Perfus-Barbeoch, L.; Rancurel, C.; Thorpe, P.; Da Rocha, M.; Bajew, S.; Neilson, R.; Guzeeva, E.S.; Da Silva, C.; Guy, J.; et al. The transcriptomes of Xiphinema index and Longidorus elongatus suggest independent acquisition of some plant parasitism genes by horizontal gene transfer in early-branching nematodes. Genes 2017, 8, 287. [Google Scholar] [CrossRef] [PubMed]
  29. Grabherr, M.G.; Grabherr, M.G.; Haas, B.J.; Yassour, M.; Levin, J.Z.; Thompson, D.A.; Amit, I.; Adiconis, X.; Fan, L.; Raychowdhury, R.; et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat. Biotechnol. 2011, 29, 644–652. [Google Scholar] [CrossRef] [PubMed]
  30. Li, B.; Dewey, C. RSEM: Accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinform. 2011, 12, 323. [Google Scholar] [CrossRef] [PubMed]
  31. Anders, S.; Huber, W. Differential expression analysis for sequence count data. Genome Biol. 2010, 11, R106. [Google Scholar] [CrossRef] [PubMed]
  32. Mao, X.; Cai, T.; Olyarchuk, J.G.; Wei, L. Automated genome annotation and pathway identification using the KEGG Orthology (KO) as a controlled vocabulary. Bioinformatics 2005, 21, 3787–3793. [Google Scholar] [CrossRef] [PubMed]
  33. Untergasser, A.; Cutcutache, I.; Koressaar, T.; Ye, J.; Faircloth, B.C.; Remm, M.; Rozen, S.G. Primer3—New capabilities and interfaces. Nucleic Acids Res. 2012, 40, e115. [Google Scholar] [CrossRef] [PubMed]
  34. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2–ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  35. Kuhl, J.C.; Cheung, F.; Yuan, Q.; Martin, W.; Zewdie, Y.; McCallum, J.; Catanach, A.; Rutherford, P.; Sink, K.C.; Jenderek, M.; et al. A unique set of 11,008 onion expressed sequence tags reveals expressed sequence and genomic differences between the monocot orders Asparagales and Poales. Plant Cell 2004, 16, 114–125. [Google Scholar] [CrossRef] [PubMed]
  36. Yang, M.; Zhu, L.; Pan, C.; Xu, L.; Liu, Y.; Ke, W.; Yang, P. Transcriptomic analysis of the regulation of rhizome formation in temperate and tropical lotus (Nelumbo nucifera). Sci. Rep. 2015, 5, 13059. [Google Scholar] [CrossRef] [PubMed]
  37. Whitford, R.; Fernandez, A.; Tejos, R.; Pérez, A.C.; Kleine-Vehn, J.; Vanneste, S.; Drozdzecki, A.; Leitner, J.; Abas, L.; Aerts, M.; et al. GOLVEN secretory peptides regulate auxin carrier turnover during plant gravitropic responses. Dev. Cell 2012, 22, 678–685. [Google Scholar] [CrossRef] [PubMed]
  38. Vogt, T.; Dudareva, N.; Pichersky, E.; Werckreichhart, D.; Lewinsohn, E. Phenylpropanoid biosynthesis. Mol. Plant 2010, 3, 2–20. [Google Scholar] [CrossRef] [PubMed]
  39. Fraser, C.M.; Chapple, C. The phenylpropanoid pathway in Arabidopsis. Arab. Book 2011, 9, e0152. [Google Scholar] [CrossRef] [PubMed]
  40. Chopra, R.; Burow, G.; Farmer, A.; Mudge, J.; Simpson, C.E.; Burow, M.D. Comparisons of de novo transcriptome assemblers in diploid and polyploid species using peanut (Arachis spp.) RNA-Seq data. PLoS ONE 2014, 9, e115055. [Google Scholar] [CrossRef] [PubMed]
  41. Peng, Z.; Lu, Y.; Li, L.; Zhao, Q.; Feng, Q.; Gao, Z.; Lu, H.; Hu, T.; Yao, N.; Liu, K.; et al. The draft genome of the fast-growing non-timber forest species moso bamboo (Phyllostachys heterocycla). Nat. Genet. 2013, 45, 456–461. [Google Scholar] [CrossRef] [PubMed]
  42. Liu, M.; Qiao, G.; Jiang, J.; Yang, H.; Xie, L.; Xie, J.; Zhuo, R. Transcriptome sequencing and de novo analysis for Ma bamboo (Dendrocalamus latiflorus Munro) using the Illumina platform. PLoS ONE 2012, 7, e46766. [Google Scholar] [CrossRef] [PubMed]
  43. Pnueli, L.; Carmel-Goren, L.; Hareven, D.; Gutfinger, T.; Alvarez, J.; Ganal, M.; Zamir, D.; Lifschitz, E. The SELF-PRUNING gene of tomato regulates vegetative to reproductive switching of sympodial meristems and is the ortholog of CEN and TFL1. Development 1998, 125, 1979–1989. [Google Scholar] [PubMed]
  44. Li, L.; Cheng, Z.; Ma, Y.; Bai, Q.; Li, X.; Cao, Z.; Wu, Z.; Gao, J. The association of hormone signaling genes, transcription and changes in shoot anatomy during moso bamboo growth. Plant Biotechnol. J. 2017. [Google Scholar] [CrossRef]
  45. Song, Y.; Xu, Z.F. Ectopic overexpression of an AUXIN/INDOLE-3-ACETIC ACID (Aux/IAA) gene OsIAA4 in rice induces morphological changes and reduces responsiveness to auxin. Int. J. Mol. Sci. 2013, 14, 13645–13656. [Google Scholar] [CrossRef] [PubMed]
  46. Gamuyao, R.; Nagai, K.; Ayano, M.; Mori, Y.; Minami, A.; Kojima, M.; Suzuki, T.; Sakakibara, H.; Higashiyama, T.; Ashikari, M.; et al. Hormone distribution and transcriptome profiles in bamboo shoots provide insights on bamboo stem emergence and growth. Plant Cell Physiol. 2017, 58, 702–716. [Google Scholar] [CrossRef] [PubMed]
  47. Bennett, M.J.; Marchant, A.; Green, H.G.; May, S.T.; Ward, S.P.; Millner, P.A.; Walker, A.R.; Schulz, B.; Feldmann, K.A. Arabidopsis AUX1 gene: A permease-like regulator of root gravitropism. Science 1996, 273, 948–950. [Google Scholar] [CrossRef] [PubMed]
  48. Tatematsu, K.; Kumagai, S.; Muto, H.; Sato, A.; Watahiki, M.K.; Harper, R.M.; Liscum, E.; Yamamoto, K.T. MASSUGU2 encodes Aux/IAA19, an auxin-regulated protein that functions together with the transcriptional activator NPH4/ARF7 to regulate differential growth responses of hypocotyl and formation of lateral roots in Arabidopsis thaliana. Plant Cell 2004, 16, 379–393. [Google Scholar] [CrossRef] [PubMed]
  49. Hirayama, T.; Umezawa, T. The PP2C-SnRK2 complex: The central regulator of an abscisic acid signaling pathway. Plant Signal. Behav. 2010, 5, 160–163. [Google Scholar] [CrossRef] [PubMed]
  50. Wang, F.; Zhu, D.; Huang, X.; Li, S.; Gong, Y.; Yao, Q.; Fu, X.; Fan, L.M.; Deng, X.W. Biochemical insights on degradation of Arabidopsis DELLA proteins gained from a cell-free assay system. Plant Cell 2009, 21, 2378–2390. [Google Scholar] [CrossRef] [PubMed]
  51. Yruela, I. Plant development regulation: Overview and perspectives. J. Plant Physiol. 2015, 182, 62–78. [Google Scholar] [CrossRef] [PubMed]
  52. Chen, C.Y.; Hsieh, M.H.; Yang, C.C.; Lin, C.S.; Wang, A.Y. Analysis of the cellulose synthase genes associated with primary cell wall synthesis in Bambusa oldhamii. Phytochemistry 2010, 71, 1270–1279. [Google Scholar] [CrossRef] [PubMed]
  53. Carpita, N.C. Update on mechanisms of plant cell wall biosynthesis: How plants make cellulose and other (1→4)-β-d-glycans. Plant Physiol. 2011, 155, 171–184. [Google Scholar] [CrossRef] [PubMed]
  54. Li, L.; Popko, J.L.; Umezawa, T.; Chiang, V.L. 5-Hydroxyconiferyl aldehyde modulates enzymatic methylation for syringyl monolignol formation, a new view of monolignol biosynthesis in angiosperms. J. Biol. Chem. 2000, 275, 6537–6545. [Google Scholar] [CrossRef] [PubMed]
  55. Vanholme, R.; Morreel, K.; Ralph, J.; Boerjan, W. Lignin engineering. Curr. Opin. Plant Biol. 2008, 11, 278–285. [Google Scholar] [CrossRef] [PubMed]
  56. Sewalt, V.; Ni, W.; Blount, J.W.; Jung, H.G.; Masoud, S.A.; Howles, P.A.; Lamb, C.; Dixon, R.A. Reduced lignin content and altered lignin composition in transgenic tobacco down-regulated in expression of l-Phenylalanine Ammonia-lyase or Cinnamate 4-Hydroxylase. Plant Physiol. 1997, 115, 41–50. [Google Scholar] [CrossRef] [PubMed]
  57. Guo, D.; Chen, F.; Inoue, K.; Blount, J.W.; Dixon, R.A. Downregulation of caffeic acid 3-O-methyltransferase and caffeoyl CoA 3-O-methyltransferase in transgenic alfalfa: Impacts on lignin structure and implications for the biosynthesis of G and S lignin. Plant Cell 2001, 13, 73–88. [Google Scholar] [CrossRef] [PubMed]
  58. Wagner, A.; Tobimatsu, Y.; Phillips, L.; Flint, H.; Torr, K.; Donaldson, L.; Pears, L.; Ralph, J. CCoAOMT suppression modifies lignin composition in Pinus radiata. Plant J. 2011, 67, 119–129. [Google Scholar] [CrossRef] [PubMed]
  59. Li, X.; Chen, W.; Zhao, Y.; Xiang, Y.; Jiang, H.; Zhu, S.; Cheng, B. Downregulation of caffeoyl-CoA O-methyltransferase (CCoAOMT) by RNA interference leads to reduced lignin production in maize straw. Genet. Mol. Biol. 2013, 36, 540–546. [Google Scholar] [CrossRef] [PubMed]
  60. Song, J.; Wang, Z. RNAi-mediated suppression of the phenylalanine ammonia-lyase gene in Salvia miltiorrhiza causes abnormal phenotypes and a reduction in rosmarinic acid biosynthesis. J. Plant Res. 2011, 124, 183–192. [Google Scholar] [CrossRef] [PubMed]
Genes 09 00004 g001 550
Figure 1. Vegetative forms of straight-culm (a) and bent-culm (b) Dendrocalamus sinicus.
Figure 1. Vegetative forms of straight-culm (a) and bent-culm (b) Dendrocalamus sinicus.
Genes 09 00004 g001
Genes 09 00004 g002 550
Figure 2. Length distribution of D. sinicus transcripts and unigenes.
Figure 2. Length distribution of D. sinicus transcripts and unigenes.
Genes 09 00004 g002
Genes 09 00004 g003 550
Figure 3. Overview of the serial analysis of differentially expressed genes (DEGs) identified by pairwise comparisons of the six transcriptomes: SC5, SC15, SC30, BC5, BC15, and BC30. (a) Venn diagram of the DEGs in bent culm (BC) at the three stages; (b) Venn diagram of the DEGs in straight culm (SC) at the three stages; (c) Venn diagram of the DEGs between BC and SC at the three stages.
Figure 3. Overview of the serial analysis of differentially expressed genes (DEGs) identified by pairwise comparisons of the six transcriptomes: SC5, SC15, SC30, BC5, BC15, and BC30. (a) Venn diagram of the DEGs in bent culm (BC) at the three stages; (b) Venn diagram of the DEGs in straight culm (SC) at the three stages; (c) Venn diagram of the DEGs between BC and SC at the three stages.
Genes 09 00004 g003
Genes 09 00004 g004 550
Figure 4. Heatmap of differentially expressed genes assigned to hormone signal transduction pathways in the six D. sinicus transcriptomes: BC5, BC15, BC30, SC5, SC15, and SC30. DEGs related to (a) auxin, (b) ethylene, and (c) abscisic acid. FPKM (fragments per kilobase of exon per million mapped reads) values range from 0 to 50.
Figure 4. Heatmap of differentially expressed genes assigned to hormone signal transduction pathways in the six D. sinicus transcriptomes: BC5, BC15, BC30, SC5, SC15, and SC30. DEGs related to (a) auxin, (b) ethylene, and (c) abscisic acid. FPKM (fragments per kilobase of exon per million mapped reads) values range from 0 to 50.
Genes 09 00004 g004
Genes 09 00004 g005 550
Figure 5. Expression patterns of the expressed genes assigned to lignin biosynthesis in the six D. sinicus transcriptomes: BC5, BC15, BC30, SC5, SC15, and SC30. Completed according to KEGG source record: ko00940. All metabolic enzymes predicted in the D. sinicus transcriptome are marked in the pathway. FPKM values range from 0 to 200. PAL: phenylalanine ammonia-lyase; PTAL: phenylalanine/tyrosine ammonia-lyase; C4H: cinnamate 4-hydroxylase; 4CL: 4-coumarate–CoA ligase; HCT: shikimate O-hydroxycinnamoyltransferase; C3′H: coumaroylquinate(coumaroylshikimate)3′-monooxygenase; CCoAOMT: caffeoyl-CoA O-methyltransferase; CCR: cinnamoyl–CoA reductase, CAD: cinnamyl–alcohol dehydrogenase; F5H: ferulate-5-hydroxylase; POD: peroxidase.
Figure 5. Expression patterns of the expressed genes assigned to lignin biosynthesis in the six D. sinicus transcriptomes: BC5, BC15, BC30, SC5, SC15, and SC30. Completed according to KEGG source record: ko00940. All metabolic enzymes predicted in the D. sinicus transcriptome are marked in the pathway. FPKM values range from 0 to 200. PAL: phenylalanine ammonia-lyase; PTAL: phenylalanine/tyrosine ammonia-lyase; C4H: cinnamate 4-hydroxylase; 4CL: 4-coumarate–CoA ligase; HCT: shikimate O-hydroxycinnamoyltransferase; C3′H: coumaroylquinate(coumaroylshikimate)3′-monooxygenase; CCoAOMT: caffeoyl-CoA O-methyltransferase; CCR: cinnamoyl–CoA reductase, CAD: cinnamyl–alcohol dehydrogenase; F5H: ferulate-5-hydroxylase; POD: peroxidase.
Genes 09 00004 g005
Genes 09 00004 g006 550
Figure 6. Expression of 10 selected genes as determined by qRT-PCR in comparison with the transcriptome results. The qRT-PCR values for each gene are the means ± SD of three biological replicates, with three technical replicates per experiment. The gene names and primers used for qRT-PCR analysis are shown in Table 1. The white bars indicate FPKM values as determined by transcriptome sequencing, and the grey bars show the expression as determined by qRT-PCR. ASR: abscisic acid stress ripening protein; EIN3: ethylene-insensitive protein 3; APR 12.5 kDa: auxin-repressed 12.5 kDa protein-like; IAA17: auxin-responsive protein IAA17-like; IAA21: auxin-responsive protein IAA21; CAD: cinnamyl–alcohol dehydrogenase; 4CL: 4-coumarate–CoA ligase; CCoAOMT: caffeoyl–CoA O-methyltransferase; PTAL: phenylalanine/tyrosine ammonia-lyase.
Figure 6. Expression of 10 selected genes as determined by qRT-PCR in comparison with the transcriptome results. The qRT-PCR values for each gene are the means ± SD of three biological replicates, with three technical replicates per experiment. The gene names and primers used for qRT-PCR analysis are shown in Table 1. The white bars indicate FPKM values as determined by transcriptome sequencing, and the grey bars show the expression as determined by qRT-PCR. ASR: abscisic acid stress ripening protein; EIN3: ethylene-insensitive protein 3; APR 12.5 kDa: auxin-repressed 12.5 kDa protein-like; IAA17: auxin-responsive protein IAA17-like; IAA21: auxin-responsive protein IAA21; CAD: cinnamyl–alcohol dehydrogenase; 4CL: 4-coumarate–CoA ligase; CCoAOMT: caffeoyl–CoA O-methyltransferase; PTAL: phenylalanine/tyrosine ammonia-lyase.
Genes 09 00004 g006
Table
Table 1. Primers for quantitative PCR validation of the RNA-seq data.
Table 1. Primers for quantitative PCR validation of the RNA-seq data.
Gene IDDescriptionPrimer
Forward (5′-3′)Reverse (5′-3′)
Cluster-995.67334ASRGCGAGAACGAGTACGAGAGGTGATCTCCTCCGCGATCTTGTG
Cluster-995.68010EIN3CGGTCGAAGCGGACCTTCTCGCAGGACGGCATCCTCAAGTA
Cluster-995.68211ARP 12.5 kDaGTACTCGGACAGTGCAGGCTAGATGGTGGCGGCCTTGCGGAGCTT
Cluster-995.68720IAA17CTCCGGTTCATGTCCTGCTGCTAACGCGGCGGTCCGGCGACTCG
Cluster-995.68398IAA21CACAGGAGCGGGACTACATCCGCCCTTGGGCAGCAG
Cluster-995.64090CADGATTCGTCCGGTGTCCTCTCGGGAACAACGGGGTACAGAG
Cluster-995.656794CLGGGGACTTCACCAGCAAGTTGCACACTGGAGACATCGGTT
Cluster-995.67588CCoAOMTTAGTTGTCCTTGTCGGCGTCTCAACCGCGAGAACTACGAG
Cluster-995.71288PTALAGAGCTCCGTCAAGAACTGCTCTGCATCAGCGGGTAGTTG
Cluster-995.71840Peroxidase 16TGGTAGTAGCCGTTGTCGAACGCGGCTGTACACGTTCAAG
Table
Table 2. Overall assembly statistics for the D. sinicus transcriptomes.
Table 2. Overall assembly statistics for the D. sinicus transcriptomes.
BC5BC15BC30SC5SC15SC30
Number of raw reads58,731,96265,460,12659,431,13654,367,90456,408,79257,867,298
Number of clean reads (%)56,597,392
(96.37%)		63,275,200
(96.66%)		57,515,272
(96.78%)		53,084,380
(97.64%)		55,287,738
(98.01%)		54,692,784
(94.51%)
Q20 (%)97.2997.4997.497.2997.4097.63
Mapped reads (%)39,026,306
(68.95%)		44,519,052
(70.36%)		39,786,978
(69.18%)		36,775,186
(69.28%)		39,279,750
(71.05%)		37,541,394
(68.64%)
GC (%)52.0152.3154.2753.4454.0751.24
Q20 (sequencing base calls with an error rate of less than 1%); BC5 (5 day old bent culm); BC15 (15 day old bent culm); BC30 (30 day old bent culm); SC5 (5 day old straight culm); SC15 (15 day old straight culm); SC30 (30 day old straight culm).
Table
Table 3. Kyoto Encyclopaedia of Genes and Genomes (KEGG) classification of DEGs between the two types of D. sinicus at the same culm-development stages.
Table 3. Kyoto Encyclopaedia of Genes and Genomes (KEGG) classification of DEGs between the two types of D. sinicus at the same culm-development stages.
Development StagesKEGG CategoriesRich FactorCorrected
p-Value		No. of Unigenes
BC5 vs. SC5Plant hormone signal transduction0.0890.00260
alpha-Linolenic acid metabolism0.1580.00218
Stilbenoid, diarylheptanoid, and gingerol biosynthesis0.2220.00212
Phenylalanine metabolism0.1500.00219
Phenylpropanoid biosynthesis0.0990.00339
BC15 vs. SC15Phenylpropanoid biosynthesis0.1275.52 × 10−650
Cyanoamino acid metabolism0.1691.94 × 10−423
Steroid biosynthesis0.1970.00413
Citrate cycle (TCA cycle)0.1190.02121
Glycolysis/Gluconeogenesis0.0870.03840
BC30 vs. SC30Phenylpropanoid biosynthesis0.1021.23 × 10−1140
Flavonoid biosynthesis0.1370.00110
Flavone and flavonol biosynthesis0.4550.0015
Glyoxylate and dicarboxylate metabolism0.0820.00116
Oxidative phosphorylation0.0580.00125

Share and Cite

MDPI and ACS Style

Chen, L.; Guo, X.; Cui, Y.; Zheng, X.; Yang, H. Comparative Transcriptome Analysis Reveals Hormone Signaling Genes Involved in the Launch of Culm-Shape Differentiation in Dendrocalamus sinicus. Genes 2018, 9, 4. https://doi.org/10.3390/genes9010004

AMA Style

Chen L, Guo X, Cui Y, Zheng X, Yang H. Comparative Transcriptome Analysis Reveals Hormone Signaling Genes Involved in the Launch of Culm-Shape Differentiation in Dendrocalamus sinicus. Genes. 2018; 9(1):4. https://doi.org/10.3390/genes9010004

Chicago/Turabian Style

Chen, Lingna, Xiaojuan Guo, Yongzhong Cui, Xianggan Zheng, and Hanqi Yang. 2018. "Comparative Transcriptome Analysis Reveals Hormone Signaling Genes Involved in the Launch of Culm-Shape Differentiation in Dendrocalamus sinicus" Genes 9, no. 1: 4. https://doi.org/10.3390/genes9010004

APA Style

Chen, L., Guo, X., Cui, Y., Zheng, X., & Yang, H. (2018). Comparative Transcriptome Analysis Reveals Hormone Signaling Genes Involved in the Launch of Culm-Shape Differentiation in Dendrocalamus sinicus. Genes, 9(1), 4. https://doi.org/10.3390/genes9010004

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

Article Metrics

Back to TopTop