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Article

Bulked Segregant RNA-Seq Reveals Different Gene Expression Patterns and Mutant Genes Associated with the Zigzag Pattern of Tea Plants (Camellia sinensis)

Key Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, Ministry of Agriculture and Rural Affairs, Tea Research Institute of the Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2024, 25(8), 4549; https://doi.org/10.3390/ijms25084549
Submission received: 19 March 2024 / Revised: 5 April 2024 / Accepted: 8 April 2024 / Published: 21 April 2024
(This article belongs to the Special Issue Advances in Tea Tree Genetics and Breeding)

Abstract

:
The unique zigzag-patterned tea plant is a rare germplasm resource. However, the molecular mechanism behind the formation of zigzag stems remains unclear. To address this, a BC1 genetic population of tea plants with zigzag stems was studied using histological observation and bulked segregant RNA-seq. The analysis revealed 1494 differentially expressed genes (DEGs) between the upright and zigzag stem groups. These DEGs may regulate the transduction and biosynthesis of plant hormones, and the effects on the phenylpropane biosynthesis pathways may cause the accumulation of lignin. Tissue sections further supported this finding, showing differences in cell wall thickness between upright and curved stems, potentially due to lignin accumulation. Additionally, 262 single-nucleotide polymorphisms (SNPs) across 38 genes were identified as key SNPs, and 5 genes related to zigzag stems were identified through homologous gene function annotation. Mutations in these genes may impact auxin distribution and content, resulting in the asymmetric development of vascular bundles in curved stems. In summary, we identified the key genes associated with the tortuous phenotype by using BSR-seq on a BC1 population to minimize genetic background noise.

1. Introduction

Plant stems have many forms, including upright stems, pendulous stems, and tortuous stems; different stem forms enable plants to adapt to different external environments [1]. Tortuous stems twist naturally as they grow and have a dynamic beauty, which gives the plants unusual shapes and high ornamental value. Some plants exhibit a typical twisting of their stems, such as contorted Corylus [2], flexural willow [3], crooked plum [4], twisted jujube [5], and so on. Tortuous stems are often accompanied by plant height reduction and leaf shrinkage. They are generally curved, forming a zigzag pattern with leaf growth at the nodes but straight sections in the internodes [6]. Compared to vertical stems, the common anatomical manifestation of curved stems is abnormal vascular tissue development in different plants, such as an unusual cell size and form in the vascular bundle tissue [3,7,8] and the asymmetric development of vascular bundles [8].
The molecular mechanisms of tortuous stem formation are often studied using mutants. It has been found that the abnormal development of vascular bundles in curved stems is mostly influenced by the content and distribution of plant hormones. For example, the auxin mutants A. thaliana axr1 and lop1 exhibit tortuous stem traits [9,10], and gibberellin may regulate the formation of tendrils [11]. On the other hand, jasmonic acid may regulate the entanglement of tendril stems [12], and the enhancement of brassinolide signal transduction could result in the “S” curve of Arabidopsis stems [13]. The application of exogenous plant hormones on curved soybean [14] and curved Brassica napus rape [15] could restore the upright shape of the zigzag-shaped stems to a certain extent. A few key transcription factors can also affect secondary plant growth. For instance, D-type cyclins (CYCDs) can regulate cell division and vascular differentiation [16] and lead to the wavy-stem phenotype through the overexpression of AtCYCD3;1 or PtaCYCD1;2 [17,18]. Variations in genes belonging to the HD-ZIP III protein family could cause stem bending by affecting radial patterning in Arabidopsis [19], and mutations in the microRNA target of popREV and SlREV might have a similar result [20,21].
The tea plant (Camellia sinensis), originating from China, is an extremely important beverage crop cultivated in about 60 countries for its economic value. It is consumed all over the world due to its good taste and health functions [22,23]. The tea germplasm resources in China are quite abundant, with approximately 3000 resources available in the National Germplasm Hangzhou Tea Repository. The repository also includes the zigzag-shaped varieties, such as ‘Qiqv’, ‘Lianyuanqiqv’, ‘Longqv1hao’, and ‘Longqv2hao’ [24,25]. Recently, studies on tea plants have been focusing on their quality components [26,27,28] and stress resistance [29,30], while the morphological aspect is also under consideration.
Bulked segregant RNA-seq (BSR-seq) is an efficient method for exploring the mutations and expression patterns of genes related to specific traits in species with complex genomes [31]. BSR-seq is widely used in plant research [32,33], including tea plant research [34,35]. In this study, BSR-seq was performed on upright-stem and zigzag-stem plants to uncover the molecular regulatory mechanism underlying the formation of zigzag stems. This research provides novel transcriptomic evidence for the zigzag bending phenomenon in tea plants using advanced techniques.

2. Results

2.1. Phenotypic Characterization and Stem Tissue Sections of Erect and Zigzag-Shaped Shoots in Tea Plants

Compared to other upright varieties, ‘Qiqv’ exhibits a distinctly curved stem that grows in a zigzag manner under natural conditions. We constructed the first generation of backcross offspring of ‘Qiqv’, using it as the male parent; the upright-type offspring resulting from a natural cross was used as the female parent. This led to the segregation of two distinct phenotypes: upright stem (‘UR’) and zigzag stem (‘ZZ’), with 41 individuals displaying the upright phenotype and 17 individuals displaying the zigzag phenotype. The zigzag phenotype was mainly characterized by outward-bending leaf axils and erect internodes. Additionally, the leaves of ‘UR’ plants were mostly folded inwards with wrinkled edges, while those of ‘ZZ’ plants were relatively flat (Figure 1a).
To further analyze the characteristics of the ‘ZZ’ and ‘UR’ offspring, we observed both transverse and longitudinal tissue sections of the node (leaf axils) and internode parts. The stem of tea plants mainly consists of epidermis, cortex, phloem, cambium, xylem, and pith. Compared to the erect shoots, generally, each tissue section of the zigzag shoots had a darker color and a more distinct cell wall, indicating a thicker secondary cell wall. There was little difference in the internode sections between ‘ZZ’ and ‘UR’ plants except for the xylem of ‘ZZ’ plants being thicker than that of ‘UR’ (Figure 1b). Regarding the axillary sections, the ‘ZZ’ plants had an obvious abnormal histological morphology: in the transverse section, the ‘UR’ shoot had an invagination inside the epidermal tissue for lateral bud growth, while the degree of invagination of the ‘ZZ’ shoot was very small, and the xylem and its surrounding tissue area was smaller; on the other hand, the pith cells of ‘ZZ’ plants were smaller in the longitudinal section, and the cell layers were greater in number and denser (Figure 1c).

2.2. RNA Sequencing and Reference Genome Alignment

Two expression libraries of the bulked groups of the plants with upright stems (‘UR-bg’) and plants with zigzag stems (‘ZZ-bg’) in the BC1 population were sequenced, thereby generating 11.62 Gb and 11.98 Gb raw data, respectively. After filtering adapters and low-quality sequences, 10.68 Gb and 11.08 Gb clean data, with Q30 at 90.73% and 91.21% and a GC content of 44.24% and 44.33%, were obtained. Then, the clean data were aligned to the reference genome ‘Shuchazao’ [36]. The total mapped rates were 98.11% and 98.39%, respectively (Table S1).

2.3. DEG Identification and Functional Enrichment Analysis

To understand the mechanism responsible for the formation of the zigzag stem of ‘Qiqv’, we applied bulked segregant RNA-seq (BSR-seq) to the progeny of the upright and zigzag plants via cluster separation analysis. The DEGs were then determined according to various parameters, with a p-value of ≤0.05.
Between ‘UR-bg’ and ‘ZZ-bg’, there were 1494 DEGs (including 1232 upregulated and 262 downregulated DEGs). GO enrichment analyses demonstrated that the enriched terms containing the most DEGs were catalytic activity, metabolic process, cellular process, single-organism process, binding, cell, cell part, and membrane (Figure 2a). KEGG pathway enrichment analyses revealed that metabolic pathways; biosynthesis of secondary metabolites; cutin, suberine, and wax biosynthesis; phenylpropanoid biosynthesis; flavonoid biosynthesis; stilbenoid, diarylheptanoid, and gingerol biosynthesis; biosynthesis of various plant secondary metabolites; alpha-linolenic acid metabolism; amino sugar and nucleotide sugar metabolism; plant–pathogen interaction; starch and sucrose metabolism; cysteine and methionine metabolism; pentose and glucuronate interconversions; fatty acid elongation; DNA replication; and ascorbate and aldarate metabolism were all significantly (p-value ≤ 0.01) enriched (Figure 2b).

2.4. SNP Identification and Analysis of the Candidate Gene of Tortuous Stem

A total of 505,579 high-quality and highly credible SNPs were finally obtained after detection using the genome analysis toolkit GATK [37] and filtering based on certain criteria. Then, the SNPs were used for the Euclidean distance (ED) analysis of the located target genes associated with the zigzag stem. According to the correlation threshold (ED8 > 10), a total of 262 SNP sites associated with the zigzag stem were identified via an ED algorithm analysis (Figure 3), and a total of 38 genes were annotated based on 69 of their SNPs (among which 47 SNPs were nonsynonymous) (Table S2). The five genes that may be related to the zigzag traits were selected according to the functional annotation of the genes (Table 1). CSS0027659.1 (homologous to AtAMP1: Altered meristem program1) may encode a glutamate carboxypeptidase that plays an important role in the development of the shoot’s apical meristem as well as phytohormone homeostasis [38]. CSS0030581.1 (homologous to AtAroE: shikimate dehydrogenase AroE) and CSS0032464.1 (homologous to AtADT1: arogenate dehydratase) are upstream of phenylpropanoid biosynthesis, and ADT1 plays a key role in catalyzing the conversion of arogenate to phenylalanine [39,40]. CSS0042151.1 (homologous to AtAPM1: Aminopeptidase M1) may negatively regulate PIN auxin transport proteins [41]. CSS0044392.1 (homologous to AtREV: REVOLUTA) may modulate interfascicular fiber and secondary xylem differentiation as well as determine vascular patterning and organ polarity [42,43]. These genes may affect the formation of the zigzag stem by regulating hormone transport and the differentiation of vascular tissues.

2.5. Analysis of Pathways of and Genes Related to Phenylpropane Biosynthesis

Phenylpropane is an important plant secondary metabolite and is the source of many metabolites such as flavonoids, lignin, lignan, cinnamic acid amide, and others. It plays a key role in plant development and plant–environment interactions [44]. In this study, the phenylpropane biosynthesis pathway was significantly enriched (Figure 4). The genes encoding phenylalanine ammonia-lyase (PAL) and cinnamic acid 4hydroxylase (C4H) were found to be significantly upregulated in ‘ZZ-bg’. PAL can direct more metabolic flux to the various branches of phenylpropanoid biosynthesis by catalyzing the formation of trans-cinnamic acid from phenylalanine [45]. C4H is related to lignin content, as evinced by the disruption of the C4H-encoding gene leading to a significant decrease in lignin content in Arabidopsis [46]. Furthermore, we observed that most of the DEGs encoding enzymes in the lignin biosynthesis branch pathway were also upregulated. In addition, there are two target genes encoding aroDE and ADT in the phenylalanine biosynthetic pathway that may also affect metabolic flux to phenylalanine.

2.6. Analysis of Plant Hormone Signaling Pathways and Related Genes

Phytohormones’ distribution and content are closely related to the morphogenesis of plants; they regulate the activity of the meristem to establish an above-ground plant system by integrating signals from the environment with developmental stages and genetic factors [47]. In this study, seventeen DEGs existed in the signal transduction of auxin, cytokinine, abscisic acid, ethylene, brassinosteroid, jasmonic acid, and salicylic acid. Except for the two genes encoding SNF1-regulated protein kinase 2s (SnRK2s) and histidine-containing phosphotransfer protein (AHP), which were downregulated in the cytokinine and abscisic acid signaling pathways, the other genes were upregulated (Figure 5). Most DEGs were enriched in the auxin and JAZ signaling pathways. In auxin, the five DEGs encoding auxin transporter protein 1 (AUX1), indole-3-acetic acid-amido synthetase (GH3), and small auxin-up RNA (SAUR) were upregulated; they may regulate plants’ morphological development, thereby influencing auxin polar transport and signal response. In jasmonic acid, the four DEGs encoding jasmonate ZIM-domain (JAZ) and myelocytomatosis 2 (MYC2) were upregulated, which may affect resistance. In the brassinosteroid signaling pathway, one DEG encoding xyloglucosyl transferase (XTH) was upregulated and appeared to regulate the elongation of cells.

2.7. Gene Expression Validation through Quantitative Real-Time PCR

Twelve genes were randomly selected from the DEGs contained in the phenylpropane biosynthesis pathways and plant hormone signaling pathways; they were examined via qRT-PCR to validate the reliability of the RNA-seq results. The relative expression of eleven genes in ‘ZZ-bg’ was higher than that in ‘UR-bg’, and only that of one gene in ‘ZZ-bg’ was lower (Figure 6).

3. Discussion

The development of a zigzag stem is an unusual occurrence in tea plants, and ‘Qiqv’ is one of the few to feature a zigzag stem. This zigzag shape gives the tea plant a remarkable appearance, enhancing the ornamental value and aesthetic appeal of the crop, and therefore making its use in landscaping and other creative fields a real possibility. In this study, to focus on this zigzag characteristics, BC1 offsprings of ‘Qiqv’ both with upright and zigzag stems were taken as our research object, and BSR was used to investigate the mechanism responsible for the formation of the zigzag stem at the transcriptional level.
The phenotypic observation has demonstrated that the zigzag stems are composed of straight parts and bending parts. The straight parts are in the internode, while the bending parts are in the axils of the leaves and bend outward in the direction of leaf growth. Furthermore, to analyze the physiological causes of the zigzag stem, the ultrastructure of the two main parts of the ‘ZZ’ and ‘UR’ individuals were observed by both transverse and longitudinal cutting methods. It was found that the thickened secondary cell walls could be observed in all types of sections of the ‘ZZ’ individuals. The internode (upright part) has a thickened xylem and quite loosely spaced pith cells, which is similar to Cao’s observation on the zigzag-stem tea plant [48] and the tortuous-branched Prunus mume [4]. The tissue morphology of the bending site was distinctly different between the ‘ZZ’ and ‘UR’ individuals. The proportion of the xylem area was decreased, and cells near the lateral organ were increased and expanded to the periphery. Pith cells were smaller but higher in number, which was different from the bending parts. The phenotypic and anatomical observations indicated that the zigzag stems had thicker cell walls; the bending parts may be the underlying reason for the formation of the zigzag stem, and the tissue morphology of the bending site was abnormally regulated.
Our analysis of the pathways of phenylpropanoid biosynthesis revealed that lignin may be accumulated in ‘ZZ’ individuals. Lignin is a component of secondary cell walls [49], and its accumulation may lead to the thickening of secondary cell walls (as observed in the tissue sections). Thickened cell walls affect the formation of plant morphology, provide stronger mechanical support [50], and also increase plants’ capacity for resistance [51,52]. Among the significantly enriched pathways, cutin, suberine, and wax biosynthesis; flavonoid biosynthesis; and plant–pathogen interaction are also associated with resistance [53,54], and their DEGs are mostly upregulated in ‘ZZ-bg’. Phenylpropanoid biosynthesis and alpha-linolenic acid metabolism are the pathways through which SA and JA are synthesized; they play central roles in plants’ resistance to stress [55]. In the SA and JA signal transduction pathways, PR-1-, JAZ-, and MYC-encoding genes are upregulated. These pathways have been studied in soybean and Brassica napus [14,15]. In general, there is a balance between growth and resistance in organisms, and the ‘ZZ’ plants appeared to be weaker than the ‘UR’ plants in terms of growth. This may indicate that curved plants expend more energy in resisting stress than in growing. Accordingly, functional enrichment analysis revealed that the secondary cell walls of the curved single plants may be thickened and their resistance-related activities therefore enhanced.
Subsequently, we further analyzed the potential mechanisms involved in the regulation of zigzag stems. Previous studies have demonstrated that hormones may influence bending traits. Among them, auxin polar transport appears to greatly control the curvature of stems. Auxin is primarily synthesized in the shoot apex and developing leaf primordia before being transported to various tissues and organs through xylem parenchyma cells under the influence of transport carriers and forming an auxin concentration gradient [56,57]. This concentration gradient affects the formation and tropism of vascular bundles, which may result in the curvature of the stem [58,59]. The asymmetric distribution of auxin transport carriers is the main reason for its polar transport. The auxin efflux carrier PIN plays a major role in polar transport [60,61]. In our study, we found a mutant gene, APM1, that may negatively regulate auxin polar transport by PIN [41]. Brassica napus stb1 mutant was also found to influence the downregulation of APM1, which thus attests to the close association of APM1 with the development of vascular tissue through participation in polar auxin transport [15]. Mutations in APM1 may affect PINs’ effects on auxin polar transport and lead to the abnormal development of vascular bundles. Alongside PINs, AUX1, the auxin influx carrier, also plays a critical role in the polarity of auxin movement [62]. Additionally, the AUX1-encoding gene’s differential expression may also influence auxin polar transport [14]. In addition, auxin signal transductions may also affect the curvature of stems [15]. SAUR and GH3 were found to be upregulated in the ‘ZZ’ plants in our study. Hence, it seems that auxin transport and signal transduction may induce the abnormal development of vascular bundles, thereby causing the zigzag character of ‘Qiqv’.
Alongside hormones, the asymmetric development of vascular bundles caused by transcription factors also influences the formation of curved stems [6]. The HD-ZIP III family of transcription factors is essential for plants’ growth and response to the environment; they take effect by regulating the development of vascular bundles [63,64]. In this study, a nonsynonymous nucleotide substitution was identified as a gene homologous to the Arabidopsis REV gene, which encodes the homeobox-leucine zipper protein REVOLUTA. REVOLUTA plays a central role in regulating interfascicular fiber and secondary xylem differentiation and may be involved in the determination of vascular patterning and organ polarity in Arabidopsis [42,43,65]. Moreover, REVOLUTA also performs similar functions regarding plant growth and environmental response in other species [20,21,66]. Mutations in the regulatory binding sites of the REV gene can lead to the appearance of the curved stem phenotypic trait. Thus, the mutation of the REV homologous gene in tea plants may also contribute to the formation of a zigzag stem by affecting the formation of vascular tissues.

4. Materials and Methods

4.1. Plant Materials

‘Qiqv’ is a tea variety characterized by zigzag-shaped branches. A backcross population was constructed by using ‘Qiqv’ and its natural hybrids. The upright stem and zigzag stem characteristics were separated within the BC1 population. The non-lignified stem segments (including 3–4 internodes) were selected from 7 upright- and 7 curved-stem progenies and mixed for bulked segregant RNA sequencing. The BC1 population and their progenies were planted in the Shengzhou experimental field of the Tea Research Institute within the Chinese Academy of Agricultural Sciences (CAAS), using conventional and uniform horticultural practices. The samples were stored at −80 °C for the extraction of RNA.

4.2. Observation of Tissue Sections

After soaking in water, the stems of the upright and zigzag plants were divided into two components: internodes and leaf attachment sites (Figure 1b,c). Tissue slices of approximately 3 mm thickness were cut horizontally and vertically from each part and placed in centrifuge tubes containing a fixative solution. To prevent floating, the slices were packed with absorbent cotton until they sank completely. After categorizing the tissue slices, they were placed in a dehydration box, sealed, and softened at a constant temperature. The softened tissues were then subjected to dehydration, embedding, sectioning, slide baking, and dewaxing. The staining process involved sequential steps with hematoxylin dye, gradient alcohol decolorization, fast green dye, and dehydration with anhydrous ethanol. After air-drying, the samples were placed in xylene for transparency treatment and mounted with neutral gum. Microscopic examination was performed using an optical microscope (NIKON ECLIPSE E100, Tokyo, Japan), and the images were captured and analyzed using an imaging system (NIKON DS-U3, Tokyo, Japan).

4.3. RNA Extraction, Library Construction, and RNA Sequencing

The total RNA from each sample was extracted using the EASYspin Plus Polysaccharide Polyphenol/Complex Plant RNA Rapid Extraction Kit (Beijing Edilai Biological Technology Co., Ltd., Beijing, China). After evaluating RNA purity and determining concentration using agarose gel electrophoresis and Nanodrop 2000 (Thermo Fisher Scientific, Waltham, MA, USA), respectively, the samples were sent to Shanghai Paisenno Biotechnology Co., Ltd. (Shanghai, China) for transcriptome sequencing. The total RNA was subjected to mRNA purification, mRNA fragmentation, reverse transcription, PCR enrichment, and library quality assessment to construct libraries suitable for high-throughput sequencing (with insert fragments of 400 bp and a concentration of 2 nM). The libraries were sequenced using the Illumina NovaSeq platform with a 2 × 150 bp paired-end sequencing strategy to obtain raw data. After filtering adaptors and low-quality reads using fastp [67], the obtained clean data were aligned to the reference genome ‘Shuchazao’ of the tea plant [36] using Burrows–Wheeler Alignment tool (BWA) [68], resulting in BAM files. Then, the BAM files were compared with the structural annotation file (GTF file) of the reference genome using HTSeq [69] for subsequent SNP calling, DEGs analysis, and gene functional annotation analysis.

4.4. SNP Calling, DEG Identification, and Functional Enrichment Analysis

The BAM files were then sorted and de-duplicated using picard 1.107, and GATK 4.40.0 software was used to detect SNP calling. Subsequently, SNPs that correlated strongly with target traits were screened out according to their ED value. Then, based on the functional annotation of genes containing these SNPs, genes that may have been related to the target traits were screened out. Gene expression levels were estimated using fragments per kilobase per million reads (FPKM). Differential expression analysis was performed using DESeq2 [70], and the differentially expressed genes (DEGs) were filtered with a p-value of < 0.05. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) enrichment analyses were performed on the Gene Denovo Cloud platform (https://www.omicshare.com/, accessed on 9 November 2023). The heatmap of expression was drawn with TBtools 2.067 [71].

4.5. qRT-PCR Validation

qRT-PCR was implemented to validate the gene expression differences in 12 DEGs between ‘ZZ-bg’ and ‘UR-bg’. Total RNA samples were converted into cDNA via a reverse transcription reaction using a High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA). The primers designed for the 12 DEGs are listed in Table S3. qRT-PCR was performed using a LightCycler 480 System with LightCycler 480 SYBR Green I Master. The qPCR reaction system (10 μL) consisted of 5 μL of SYBR Green Master Mix, 0.5 μL of forward/reverse primer, 1 μL of cDNA, and 3 μL of sterile water. The analysis proceeded as follows: 10 min of initiation followed by 40 cycles of 94 °C for 10 s, 58 °C for 15 s, and 72 °C for 12 s. The results were calculated using the2−ΔΔCT method with the CsGADPH gene as a control. Three technical replicates were prepared for each sample.

5. Conclusions

In this study, we conducted observations of tissue sections and BSR-seq analyses of the BC1 population of the tea plant ‘Qiqv’. We observed that secondary cell walls were thicker and vascular bundle development proceeded abnormally in plants with zigzag stems (compared with upright-stemmed plants). The 1494 DEGs and 262 SNPs obtained through BSR-seq were then analyzed. We found that the upregulation of the expression of genes in the lignin biosynthesis pathway in the curved bulked groups may lead to the accumulation of lignin and consequent thickening of secondary walls. A variety of genes and DEGs related to auxin synthesis, transport, and signal transduction—as well as the mutation of the key transcription factor—may affect the abnormal expression of vascular bundles and result in stems exhibiting zigzag patterns (Figure 7). These findings present strong evidence that will further our collective understanding of the molecular mechanism responsible for the formation of zigzag stems in tea plants; they may thus open up new avenues for research into tea germplasm resources.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms25084549/s1.

Author Contributions

Y.-Y.Y. analyzed BSR-seq data; D.-D.L., Y.-Y.Y. and R.-J.T. conducted the experiment, performed the data analysis, and interpreted the results; Y.G., C.-Y.Z. and P.M. gathered samples; C.-L.M. gave guidance on the experimental design; J.-D.C. planned and designed the research. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by funding from the Guangxi Key Research and Development Program (AB23026086) to Jie-Dan Chen, and from the National Key Research and Development Program of China (2021YFD1200200), Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding-Tea Plant (2021C02067-6), the Fundamental Research Fund for Tea Research Institute of the Chinese Academy of Agricultural Sciences (1610212022009), and the Zhejiang Provincial Natural Science Foundation of China (LZ24C160003) to Chun-Lei Ma.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data will be made available on request.

Acknowledgments

The authors are grateful to Liang Chen’s lab at the Tea Research Institute of the Chinese Academy of Agricultural Sciences (TRICAAS) for assistance.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. Braybrook, S.A. Plant Development: Lessons from Getting It Twisted. Curr. Biol. 2017, 27, R758–R760. [Google Scholar] [CrossRef] [PubMed]
  2. Smith, D.C.; Mehlenbacher, S.A. Inheritance of Contorted Growth in Hazelnut. Euphytica 1996, 89, 211–213. [Google Scholar] [CrossRef]
  3. Lin, J.; Gunter, L.E.; Harding, S.A.; Kopp, R.F.; McCord, R.P.; Tsai, C.-J.; Tuskan, G.A.; Smart, L.B. Development of AFLP and RAPD Markers Linked to a Locus Associated with Twisted Growth in Corkscrew Willow (Salix Matsudana ’Tortuosa’). Tree Physiol. 2007, 27, 1575–1583. [Google Scholar] [CrossRef] [PubMed]
  4. Zheng, T.; Li, P.; Zhuo, X.; Liu, W.; Qiu, L.; Li, L.; Yuan, C.; Sun, L.; Zhang, Z.; Wang, J.; et al. The Chromosome-level Genome Provides Insight into the Molecular Mechanism Underlying the Tortuous-branch Phenotype of Prunus mume. New Phytol. 2022, 235, 141–156. [Google Scholar] [CrossRef] [PubMed]
  5. Luo, Z.; Wang, L.; Yan, F.; Liu, Z.; Wang, L.; Zhao, X.; Wang, L.; Zhao, J.; Wang, J.; Liu, M. A Novel Twisted Bud Mutant from Ziziphus jujubaMill. ‘Dongzao’. Sci. Hortic. 2022, 295, 110774. [Google Scholar] [CrossRef]
  6. Zheng, T.; Li, L.; Zhang, Q. Advances in Research on Tortuous Traits of Plants. Euphytica 2018, 214, 224. [Google Scholar] [CrossRef]
  7. 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]
  8. Klynstra, F.B.; Lycklama, J.C.; Siebers, A.M.; Burggraaf, P.D. On the Anatomy of the Woody Stem of the Twisted Hazel, Corylus Avellana L. ‘Contorta’. Acta Bot. Neerl. 1964, 13, 189–208. [Google Scholar] [CrossRef]
  9. Lincoln, C.; Britton, J.H.; Estelle, M. Growth and development of the axr1 mutants of Arabidopsis. Plant Cell 1990, 2, 1071–1080. [Google Scholar] [CrossRef]
  10. Carland, F.M.; McHale, N.A. LOP1: A Gene Involved in Auxin Transport and Vascular Patterning in Arabidopsis. Development 1996, 122, 1811–1819. [Google Scholar] [CrossRef]
  11. Boss, P.K.; Thomas, M.R. Association of Dwarfism and Floral Induction with a Grape ‘Green Revolution’ Mutation. Nature 2002, 416, 847–850. [Google Scholar] [CrossRef] [PubMed]
  12. Malabarba, J.; Reichelt, M.; Pasquali, G.; Mithöfer, A. Tendril Coiling in Grapevine: Jasmonates and a New Role for GABA? J. Plant. Growth Regul. 2019, 38, 39–45. [Google Scholar] [CrossRef]
  13. Gendron, J.M.; Liu, J.-S.; Fan, M.; Bai, M.-Y.; Wenkel, S.; Springer, P.S.; Barton, M.K.; Wang, Z.-Y. Brassinosteroids Regulate Organ Boundary Formation in the Shoot Apical Meristem of Arabidopsis. Proc. Natl. Acad. Sci. USA 2012, 109, 21152–21157. [Google Scholar] [CrossRef] [PubMed]
  14. Ye, Z. Performance, Gene Mapping and Transcriptome Profile of Brachytic Stem in Soybean. Master’s Thesis, Nanjing Agricultural University, Nanjing, China, June 2015. [Google Scholar]
  15. Guo, W. QTL Mapping and Transcriptome Analysis of Stem Bending Trait in Brassica Napus Stb1 Mutant. Master’s Thesis, Southwest University, Chongqing, China, 2016. [Google Scholar]
  16. Guan, C.; Xue, Y.; Jiang, P.; He, C.; Zhuge, X.; Lan, T.; Yang, H. Overexpression of PtoCYCD3;3 Promotes Growth and Causes Leaf Wrinkle and Branch Appearance in Populus. IJMS 2021, 22, 1288. [Google Scholar] [CrossRef] [PubMed]
  17. Collins, C.; Maruthi, N.M.; Jahn, C.E. CYCD3 D-Type Cyclins Regulate Cambial Cell Proliferation and Secondary Growth in Arabidopsis. EXBOTJ 2015, 66, 4595–4606. [Google Scholar] [CrossRef] [PubMed]
  18. Williams, M.; Lowndes, L.; Regan, S.; Beardmore, T. Overexpression of CYCD1;2 in Activation-Tagged Populus Tremula x Populus Alba Results in Decreased Cell Size and Altered Leaf Morphology. Tree Genet. Genomes 2015, 11, 66. [Google Scholar] [CrossRef]
  19. Emery, J.F.; Floyd, S.K.; Alvarez, J.; Eshed, Y.; Hawker, N.P.; Izhaki, A.; Baum, S.F.; Bowman, J.L. Radial Patterning of Arabidopsis Shoots by Class III HD-ZIP and KANADI Genes. Curr. Biol. 2003, 13, 1768–1774. [Google Scholar] [CrossRef]
  20. Robischon, M.; Du, J.; Miura, E.; Groover, A. The Populus Class III HD ZIP, popREVOLUTA, Influences Cambium Initiation and Patterning of Woody Stems. Plant Physiol. 2011, 155, 1214–1225. [Google Scholar] [CrossRef]
  21. Hu, G.; Fan, J.; Xian, Z.; Huang, W.; Lin, D.; Li, Z. Overexpression of SlREV Alters the Development of the Flower Pedicel Abscission Zone and Fruit Formation in Tomato. Plant Sci. 2014, 229, 86–95. [Google Scholar] [CrossRef]
  22. Wei, C.; Yang, H.; Wang, S.; Zhao, J.; Liu, C.; Gao, L.; Xia, E.; Lu, Y.; Tai, Y.; She, G.; et al. Draft Genome Sequence of Camellia Sinensis Var. Sinensis Provides Insights into the Evolution of the Tea Genome and Tea Quality. Proc. Natl. Acad. Sci. USA 2018, 115, E4151–E4158. [Google Scholar] [CrossRef]
  23. Chen, J.-D.; Zheng, C.; Ma, J.-Q.; Jiang, C.-K.; Ercisli, S.; Yao, M.-Z.; Chen, L. The Chromosome-Scale Genome Reveals the Evolution and Diversification after the Recent Tetraploidization Event in Tea Plant. Hortic. Res. 2020, 7, 63. [Google Scholar] [CrossRef] [PubMed]
  24. Chen, L.; Yang, Y.; Yu, F. Tea Germplasm Research in China: Recent Progresses and Prospects. J. Plant Genet. Resour. 2004, 4, 389–392. [Google Scholar] [CrossRef]
  25. Chen, L.; Apostolides, Z.; Chen, Z. (Eds.) Global Tea Breeding: Achievements, Challenges and Perspectives; Advanced topics in science and technology in China; Zhejiang University Press: Hangzhou, China; Springer: Heidelberg, Germany; New York, NY, USA, 2012; ISBN 978-3-642-31877-1. [Google Scholar]
  26. Zhang, S.; Jin, J.; Chen, J.; Ercisli, S.; Chen, L. Purine Alkaloids in Tea Plants: Component, Biosynthetic Mechanism and Genetic Variation. Beverage Plant Res 2022, 2, 1–9. [Google Scholar] [CrossRef]
  27. Wang, Z.; Huang, R.; Moon, D.-G.; Ercisli, S.; Chen, L. Achievements and Prospects of QTL Mapping and Beneficial Genes and Alleles Mining for Important Quality and Agronomic Traits in Tea Plant (Camellia Sinensis). Beverage Plant Res. 2023, 3, 22. [Google Scholar] [CrossRef]
  28. Jin, J.-Q.; Qu, F.-R.; Huang, H.; Liu, Q.-S.; Wei, M.-Y.; Zhou, Y.; Huang, K.-L.; Cui, Z.; Chen, J.-D.; Dai, W.-D.; et al. Characterization of Two O-Methyltransferases Involved in the Biosynthesis of O-Methylated Catechins in Tea Plant. Nat. Commun. 2023, 14, 5075. [Google Scholar] [CrossRef] [PubMed]
  29. Zhang, R.; Tian, Y.; Lun, X.; Cao, Y.; Zhang, X.; Jin, M.; Guan, F.; Wang, L.; Zhao, Y.; Zhang, Z. iTRAQ-Based Quantitative Proteomic Analysis of Defense Responses of Two Tea Cultivars to Empoasca Onukii (Matsuda) Feeding. Beverage Plant Res. 2023, 4, e006. [Google Scholar] [CrossRef]
  30. Hu, Y.; Zhang, M.; Lu, M.; Wu, Y.; Jing, T.; Zhao, M.; Zhao, Y.; Feng, Y.; Wang, J.; Gao, T.; et al. Salicylic Acid Carboxyl Glucosyltransferase UGT87E7 Regulates Disease Resistance in Camellia sinensis. Plant Physiol. 2022, 188, 1507–1520. [Google Scholar] [CrossRef] [PubMed]
  31. Liu, S.; Yeh, C.-T.; Tang, H.M.; Nettleton, D.; Schnable, P.S. Gene Mapping via Bulked Segregant RNA-Seq (BSR-Seq). PLoS ONE 2012, 7, e36406. [Google Scholar] [CrossRef] [PubMed]
  32. Cheng, W.; Wang, Z.; Xu, F.; Lu, G.; Su, Y.; Wu, Q.; Wang, T.; Que, Y.; Xu, L. Screening of Candidate Genes Associated with Brown Stripe Resistance in Sugarcane via BSR-Seq Analysis. IJMS 2022, 23, 15500. [Google Scholar] [CrossRef]
  33. Hou, X.; Guo, Q.; Wei, W.; Guo, L.; Guo, D.; Zhang, L. Screening of Genes Related to Early and Late Flowering in Tree Peony Based on Bulked Segregant RNA Sequencing and Verification by Quantitative Real-Time PCR. Molecules 2018, 23, 689. [Google Scholar] [CrossRef]
  34. Wang, J.-Y.; Chen, J.-D.; Wang, S.-L.; Chen, L.; Ma, C.-L.; Yao, M.-Z. Repressed Gene Expression of Photosynthetic Antenna Proteins Associated with Yellow Leaf Variation as Revealed by Bulked Segregant RNA-Seq in Tea Plant Camellia sinensis. J. Agric. Food Chem. 2020, 68, 8068–8079. [Google Scholar] [CrossRef] [PubMed]
  35. Zhong, H.; Wang, Y.; Qu, F.-R.; Wei, M.-Y.; Zhang, C.-Y.; Liu, H.-R.; Chen, L.; Yao, M.-Z.; Jin, J.-Q. A Novel TcS Allele Conferring the High-Theacrine and Low-Caffeine Traits and Having Potential Use in Tea Plant Breeding. Hortic. Res. 2022, 9, uhac191. [Google Scholar] [CrossRef] [PubMed]
  36. Xia, E.; Tong, W.; Hou, Y.; An, Y.; Chen, L.; Wu, Q.; Liu, Y.; Yu, J.; Li, F.; Li, R.; et al. The Reference Genome of Tea Plant and Resequencing of 81 Diverse Accessions Provide Insights into Its Genome Evolution and Adaptation. Mol. Plant 2020, 13, 1013–1026. [Google Scholar] [CrossRef] [PubMed]
  37. McKenna, A.; Hanna, M.; Banks, E.; Sivachenko, A.; Cibulskis, K.; Kernytsky, A.; Garimella, K.; Altshuler, D.; Gabriel, S.; Daly, M.; et al. The Genome Analysis Toolkit: A MapReduce Framework for Analyzing next-Generation DNA Sequencing Data. Genome Res. 2010, 20, 1297–1303. [Google Scholar] [CrossRef] [PubMed]
  38. Vidaurre, D.P.; Ploense, S.; Krogan, N.T.; Berleth, T. AMP1 and MP Antagonistically Regulate Embryo and Meristem Development in Arabidopsis. Development 2007, 134, 2561–2567. [Google Scholar] [CrossRef] [PubMed]
  39. Singh, S.A.; Christendat, D. Structure of Arabidopsis Dehydroquinate Dehydratase-Shikimate Dehydrogenase and Implications for Metabolic Channeling in the Shikimate Pathway. Biochemistry 2006, 45, 7787–7796. [Google Scholar] [CrossRef] [PubMed]
  40. Cho, M.-H.; Corea, O.R.A.; Yang, H.; Bedgar, D.L.; Laskar, D.D.; Anterola, A.M.; Moog-Anterola, F.A.; Hood, R.L.; Kohalmi, S.E.; Bernards, M.A.; et al. Phenylalanine Biosynthesis in Arabidopsis Thaliana. J. Biol. Chem. 2007, 282, 30827–30835. [Google Scholar] [CrossRef] [PubMed]
  41. Lee, O.R.; Cho, H.-T. Cytoplasm Localization of Aminopeptidase M1 and Its Functional Activity in Root Hair Cells and BY-2 Cells. Mol. Biol. Rep. 2012, 39, 10211–10218. [Google Scholar] [CrossRef] [PubMed]
  42. Otsuga, D.; DeGuzman, B.; Prigge, M.J.; Drews, G.N.; Clark, S.E. REVOLUTA Regulates Meristem Initiation at Lateral Positions. Plant J. 2001, 25, 223–236. [Google Scholar] [CrossRef]
  43. Zhong, R.; Ye, Z.-H. IFL1, a Gene Regulating Interfascicular Fiber Differentiation in Arabidopsis, Encodes a Homeodomain–Leucine Zipper Protein. Plant Cell 1999, 11, 2139–2152. [Google Scholar] [CrossRef]
  44. Dong, N.; Lin, H. Contribution of Phenylpropanoid Metabolism to Plant Development and Plant–Environment Interactions. JIPB 2021, 63, 180–209. [Google Scholar] [CrossRef] [PubMed]
  45. Zhang, X.; Liu, C.-J. Multifaceted Regulations of Gateway Enzyme Phenylalanine Ammonia-Lyase in the Biosynthesis of Phenylpropanoids. Mol. Plant 2015, 8, 17–27. [Google Scholar] [CrossRef] [PubMed]
  46. Mizutani, M.; Ohta, D.; Sato, R. Lsolation of a cDNA and a Genomic Clone Encoding Cinnamate 4-Hydroxylase from Arabidopsis and Its Expression Manner in Planta. Plant Physiol. 1997, 113, 755–763. [Google Scholar] [CrossRef] [PubMed]
  47. Li, J.; Li, C.Y. Seventy-year major research progress in plant hormones by Chinese scholars. Sci. Sin. Vitae 2019, 49, 1227–1281. (In Chinese) [Google Scholar] [CrossRef]
  48. Cao, H.; Wang, F.; Lin, H.; Ye, Y.; Zheng, Y.; Li, J.; Hao, Z.; Ye, N.; Yue, C. Transcriptome and Metabolite Analyses Provide Insights into Zigzag-Shaped Stem Formation in Tea Plants (Camellia sinensis). BMC Plant Biol. 2020, 20, 98. [Google Scholar] [CrossRef]
  49. Taylor-Teeples, M.; Lin, L.; De Lucas, M.; Turco, G.; Toal, T.W.; Gaudinier, A.; Young, N.F.; Trabucco, G.M.; Veling, M.T.; Lamothe, R.; et al. An Arabidopsis Gene Regulatory Network for Secondary Cell Wall Synthesis. Nature 2015, 517, 571–575. [Google Scholar] [CrossRef]
  50. Cosgrove, D.J.; Jarvis, M.C. Comparative Structure and Biomechanics of Plant Primary and Secondary Cell Walls. Front. Plant Sci. 2012, 3, 204. [Google Scholar] [CrossRef]
  51. Molina, A.; Miedes, E.; Bacete, L.; Rodríguez, T.; Mélida, H.; Denancé, N.; Sánchez-Vallet, A.; Rivière, M.-P.; López, G.; Freydier, A.; et al. Arabidopsis Cell Wall Composition Determines Disease Resistance Specificity and Fitness. Proc. Natl. Acad. Sci. USA 2021, 118, e2010243118. [Google Scholar] [CrossRef] [PubMed]
  52. Zhang, D.; Lv, B.; Qiu, J.-L. Being Tough: The Secret Weapon of Plants against Vascular Pathogens. Mol. Plant 2022, 15, 934–936. [Google Scholar] [CrossRef]
  53. Lewandowska, M.; Keyl, A.; Feussner, I. Wax Biosynthesis in Response to Danger: Its Regulation upon Abiotic and Biotic Stress. New Phytol. 2020, 227, 698–713. [Google Scholar] [CrossRef]
  54. Kumar, A.P.; Bhasker, K.; Nikhil, B.S.K.; Srinivas, P. Role of Phenylpropanoids and Flavonoids in Plant Defense Mechanism. IJECC 2023, 13, 2951–2960. [Google Scholar] [CrossRef]
  55. Thaler, J.S.; Humphrey, P.T.; Whiteman, N.K. Evolution of Jasmonate and Salicylate Signal Crosstalk. Trends Plant Sci. 2012, 17, 260–270. [Google Scholar] [CrossRef] [PubMed]
  56. Swarup, R. Developmental Roles of AUX1/LAX Auxin Influx Carriers in Plants. Front. Plant Sci. 2019, 10, 476672. [Google Scholar] [CrossRef] [PubMed]
  57. Jedličková, V.; Ebrahimi Naghani, S.; Robert, H.S. On the Trail of Auxin: Reporters and Sensors. Plant Cell 2022, 34, 3200–3213. [Google Scholar] [CrossRef] [PubMed]
  58. Traas, J. Molecular Networks Regulating Meristem Homeostasis. Mol. Plant 2018, 11, 883–885. [Google Scholar] [CrossRef] [PubMed]
  59. Santos, F.; Teale, W.; Fleck, C.; Volpers, M.; Ruperti, B.; Palme, K. Modelling Polar Auxin Transport in Developmental Patterning. Plant Biol. 2010, 12, 3–14. [Google Scholar] [CrossRef] [PubMed]
  60. Habets, M.E.J.; Offringa, R. PIN -driven Polar Auxin Transport in Plant Developmental Plasticity: A Key Target for Environmental and Endogenous Signals. New Phytol. 2014, 203, 362–377. [Google Scholar] [CrossRef]
  61. Han, H.; Adamowski, M.; Qi, L.; Alotaibi, S.S.; Friml, J. PIN-mediated Polar Auxin Transport Regulations in Plant Tropic Responses. New Phytol. 2021, 232, 510–522. [Google Scholar] [CrossRef] [PubMed]
  62. Swarup, R.; Péret, B. AUX/LAX Family of Auxin Influx Carriers—An Overview. Front. Plant Sci. 2012, 3, 225. [Google Scholar] [CrossRef]
  63. Côté, C.L.; Boileau, F.; Roy, V.; Ouellet, M.; Levasseur, C.; Morency, M.-J.; Cooke, J.E.; Séguin, A.; MacKay, J.J. Gene Family Structure, Expression and Functional Analysis of HD-Zip III Genes in Angiosperm and Gymnosperm Forest Trees. BMC Plant Biol. 2010, 10, 273. [Google Scholar] [CrossRef]
  64. Li, Y.; Xiong, H.; Cuo, D.; Wu, X.; Duan, R. Genome-Wide Characterization and Expression Profiling of the Relation of the HD-Zip Gene Family to Abiotic Stress in Barley (Hordeum vulgare L.). Plant Physiol. Biochem. 2019, 141, 250–258. [Google Scholar] [CrossRef] [PubMed]
  65. Talbert, P.B.; Adler, H.T.; Parks, D.W.; Comai, L. The REVOLUTA Gene Is Necessary for Apical Meristem Development and for Limiting Cell Divisions in the Leaves and Stems of Arabidopsis thaliana. Development 1995, 121, 2723–2735. [Google Scholar] [CrossRef] [PubMed]
  66. Li, J.; Xie, L.; Ren, J.; Zhang, T.; Cui, J.; Bao, Z.; Zhou, W.; Bai, J.; Gong, C. CkREV Regulates Xylem Vessel Development in Caragana Korshinskii in Response to Drought. Front. Plant Sci. 2022, 13, 982853. [Google Scholar] [CrossRef] [PubMed]
  67. Chen, S.; Zhou, Y.; Chen, Y.; Gu, J. Fastp: An Ultra-Fast All-in-One FASTQ Preprocessor. Bioinformatics 2018, 34, i884–i890. [Google Scholar] [CrossRef] [PubMed]
  68. Li, H.; Durbin, R. Fast and Accurate Short Read Alignment with Burrows–Wheeler Transform. Bioinformatics 2009, 25, 1754–1760. [Google Scholar] [CrossRef]
  69. Anders, S.; Pyl, P.T.; Huber, W. HTSeq—A Python Framework to Work with High-Throughput Sequencing Data. Bioinformatics 2015, 31, 166–169. [Google Scholar] [CrossRef] [PubMed]
  70. Anders, S.; Huber, W. Differential Expression Analysis for Sequence Count Data. Genome Biol 2010, 11, R106. [Google Scholar] [CrossRef]
  71. Chen, C.; Wu, Y.; Li, J.; Wang, X.; Zeng, Z.; Xu, J.; Liu, Y.; Feng, J.; Chen, H.; He, Y.; et al. TBtools-II: A “One for All, All for One” Bioinformatics Platform for Biological Big-Data Mining. Mol. Plant 2023, 16, 1733–1742. [Google Scholar] [CrossRef]
Figure 1. Phenotypic characterization and stem tissue sections of the BC1 population: (a) phenotype of the stem of upright and zigzag individuals; (b) transverse and longitudinal sections of the internode tissue; (c) transverse and longitudinal sections of the leaf axil (node) tissue.
Figure 1. Phenotypic characterization and stem tissue sections of the BC1 population: (a) phenotype of the stem of upright and zigzag individuals; (b) transverse and longitudinal sections of the internode tissue; (c) transverse and longitudinal sections of the leaf axil (node) tissue.
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Figure 2. GO and KEGG enrichment analyses of the differentially expressed genes (DEGs) between the upright and zigzag bulked groups: (a) GO enrichment analysis and (b) KEGG enrichment analysis. The red star indicates the important metabolic pathway enriched for phenylpropane metabolism.
Figure 2. GO and KEGG enrichment analyses of the differentially expressed genes (DEGs) between the upright and zigzag bulked groups: (a) GO enrichment analysis and (b) KEGG enrichment analysis. The red star indicates the important metabolic pathway enriched for phenylpropane metabolism.
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Figure 3. Distribution of the correlation thresholds of the Euclidean distance (ED) algorithm used to examine the chromosome of Camellia sinensis. The abscissa is the chromosome name, and the ordinate is the ED value; the colored dots represent the ED value of each SNP locus on the chromosome, the red dashed line represents the fitted ED value, and the points marked with boxes and arrows represent candidate genes.
Figure 3. Distribution of the correlation thresholds of the Euclidean distance (ED) algorithm used to examine the chromosome of Camellia sinensis. The abscissa is the chromosome name, and the ordinate is the ED value; the colored dots represent the ED value of each SNP locus on the chromosome, the red dashed line represents the fitted ED value, and the points marked with boxes and arrows represent candidate genes.
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Figure 4. Pathways of and genes related to phenylpropane biosynthesis. The heatmap shows the log2FC of the differentially expressed genes (DEGs) between the zigzag and upright bulked groups. ADT1, arogenate dehydratase; AroE, shikimate dehydrogenase AroE; PAL, phenylalanine ammonia-lyase; C4H, cinnamic acid 4hydroxylase; F5H, ferulate 5−hydroxylase; CCR, Cinnamoyl CoA reductase; CAD, cinnamyl alcohol dehydrogenase; POD, peroxidase.
Figure 4. Pathways of and genes related to phenylpropane biosynthesis. The heatmap shows the log2FC of the differentially expressed genes (DEGs) between the zigzag and upright bulked groups. ADT1, arogenate dehydratase; AroE, shikimate dehydrogenase AroE; PAL, phenylalanine ammonia-lyase; C4H, cinnamic acid 4hydroxylase; F5H, ferulate 5−hydroxylase; CCR, Cinnamoyl CoA reductase; CAD, cinnamyl alcohol dehydrogenase; POD, peroxidase.
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Figure 5. Plant hormone signaling pathways and related DEGs. The heatmap shows the log2FC of the differentially expressed genes (DEGs) between the zigzag and upright bulked groups.
Figure 5. Plant hormone signaling pathways and related DEGs. The heatmap shows the log2FC of the differentially expressed genes (DEGs) between the zigzag and upright bulked groups.
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Figure 6. Validation of the relative expression levels of genes using quantitative RT-PCR (qRT-PCR). The bars represent the relative expression levels in the qRT-PCR, and the grey lines represent the log2 fold changes in the BSR-seq. qRT-PCR results are presented as the means (±SDs) of three technical replicates, utilizing the CsGADPH gene as a control. “ns” indicates no significant difference; * indicates a significant difference at the 0.01 level (p < 0.05); ** indicates a significant difference at the 0.01 level (p < 0.01); and *** indicates a significant difference at the 0.001 level (p < 0.001).
Figure 6. Validation of the relative expression levels of genes using quantitative RT-PCR (qRT-PCR). The bars represent the relative expression levels in the qRT-PCR, and the grey lines represent the log2 fold changes in the BSR-seq. qRT-PCR results are presented as the means (±SDs) of three technical replicates, utilizing the CsGADPH gene as a control. “ns” indicates no significant difference; * indicates a significant difference at the 0.01 level (p < 0.05); ** indicates a significant difference at the 0.01 level (p < 0.01); and *** indicates a significant difference at the 0.001 level (p < 0.001).
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Figure 7. Conclusions regarding transcription-level regulation of the formation of zigzag stems in Camellia sinensis. The solid line represents direct regulation, and the dotted line represents indirect regulation.
Figure 7. Conclusions regarding transcription-level regulation of the formation of zigzag stems in Camellia sinensis. The solid line represents direct regulation, and the dotted line represents indirect regulation.
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Table 1. Target genes associated with the formation of a zigzag stem according to BSR-seq.
Table 1. Target genes associated with the formation of a zigzag stem according to BSR-seq.
Gene_idFunction Mutation Type
CSS0027659.1regulating meristem function; balancing auxin signalingsynonymous
CSS0030581.1shikimate dehydrogenasenonsynonymous
CSS0009413.1arogenate dehydratase/prephenate dehydratasesynonymous
CSS0042151.1negative regulation of PIN auxin transport proteins nonsynonymous
CSS0044392.1regulation of interfascicular fiber and secondary xylem differentiation; determination of vascular patterning and organ polaritynonsynonymous
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Ye, Y.-Y.; Liu, D.-D.; Tang, R.-J.; Gong, Y.; Zhang, C.-Y.; Mei, P.; Ma, C.-L.; Chen, J.-D. Bulked Segregant RNA-Seq Reveals Different Gene Expression Patterns and Mutant Genes Associated with the Zigzag Pattern of Tea Plants (Camellia sinensis). Int. J. Mol. Sci. 2024, 25, 4549. https://doi.org/10.3390/ijms25084549

AMA Style

Ye Y-Y, Liu D-D, Tang R-J, Gong Y, Zhang C-Y, Mei P, Ma C-L, Chen J-D. Bulked Segregant RNA-Seq Reveals Different Gene Expression Patterns and Mutant Genes Associated with the Zigzag Pattern of Tea Plants (Camellia sinensis). International Journal of Molecular Sciences. 2024; 25(8):4549. https://doi.org/10.3390/ijms25084549

Chicago/Turabian Style

Ye, Yuan-Yuan, Ding-Ding Liu, Rong-Jin Tang, Yang Gong, Chen-Yu Zhang, Piao Mei, Chun-Lei Ma, and Jie-Dan Chen. 2024. "Bulked Segregant RNA-Seq Reveals Different Gene Expression Patterns and Mutant Genes Associated with the Zigzag Pattern of Tea Plants (Camellia sinensis)" International Journal of Molecular Sciences 25, no. 8: 4549. https://doi.org/10.3390/ijms25084549

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