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Article

Genome-Wide Identification and Expression Analysis of ent-kaurene synthase-like Gene Family Associated with Abiotic Stress in Rice

by
Yantong Teng
1,2,†,
Yingwei Wang
3,†,
Yutong Zhang
3,
Qinyu Xie
3,
Qinzong Zeng
3,
Maohong Cai
3,* and
Tao Chen
1,3,*
1
Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
2
College of Life Sciences, Inner Mongolia University, Hohhot 010021, China
3
Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, College of Life and Environmental Science, Hangzhou Normal University, Hangzhou 311121, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2024, 25(10), 5513; https://doi.org/10.3390/ijms25105513
Submission received: 17 April 2024 / Revised: 9 May 2024 / Accepted: 14 May 2024 / Published: 18 May 2024
(This article belongs to the Special Issue Advance in Plant Abiotic Stress)
Browse Figures
Versions Notes

Abstract

:
Rice (Oryza sativa) is one of the most important crops for humans. The homologs of ent-kaurene synthase (KS) in rice, which are responsible for the biosynthesis of gibberellins and various phytoalexins, are identified by their distinct biochemical functions. However, the KS-Like (KSL) family’s potential functions related to hormone and abiotic stress in rice remain uncertain. Here, we identified the KSL family of 19 species by domain analysis and grouped 97 KSL family proteins into three categories. Collinearity analysis of KSLs among Poaceae indicated that the KSL gene may independently evolve and OsKSL1 and OsKSL4 likely play a significant role in the evolutionary process. Tissue expression analysis showed that two-thirds of OsKSLs were expressed in various tissues, whereas OsKSL3 and OsKSL5 were specifically expressed in the root and OsKSL4 in the leaf. Based on the fact that OsKSL2 participates in the biosynthesis of gibberellins and promoter analysis, we detected the gene expression profiles of OsKSLs under hormone treatments (GA, PAC, and ABA) and abiotic stresses (darkness and submergence). The qRT-PCR results demonstrated that OsKSL1, OsKSL3, and OsKSL4 responded to all of the treatments, meaning that these three genes can be candidate genes for abiotic stress. Our results provide new insights into the function of the KSL family in rice growth and resistance to abiotic stress.

1. Introduction

ent-kaurene synthase (KS), one of the diterpene synthases (diTPS), is an enzyme that plays a vital role in the biosynthesis of ent-kaurene, a precursor of gibberellins [1,2,3]. The biosynthesis of ent-kaurene serves as a crucial initial step in gibberellin synthesis [4,5]. KS mutants commonly exhibit a dwarf phenotype, which can be rescued by the application of exogenous gibberellin (GA) [6,7]. Furthermore, the mutation of KS leads to a non-heading phenotype in plants [8,9]. Studies have also demonstrated that the expression of the ent-kaurene synthase gene can be up-regulated by blue light, influencing the avoidance response of protonemal growth in Physcomitrella patens [10,11]. ent-kaurene biosynthesis and gibberellin biosynthesis are prevalent in various organisms, including angiosperms, gymnosperms, spore plants, fungi, and bacteria [12,13]. The formation of ent-kaurene occurs through a two-step cyclization process of geranylgeranyl diphosphate, which involves the formation of an intermediate known as ent-copalyl diphosphate (ent-CDP) [14,15,16].
The pathway of ent-kaurene biosynthesis was initially elucidated using cell-free systems from G. fujikuroi. The two cyclization steps that convert geranylgeranyl diphosphate (GGDP) to ent-kaurene are catalyzed by bifunctional diTPS, which possesses two active sites [17,18,19,20]. The N-terminal active site domain harbors a conserved DXDD motif and catalyzes the protonation-initiated cyclization of GGDP to ent-CDP [21]. In the C-terminal domain, a conserved DDXXD motif is essential for the diphosphate ionization-initiated cyclization of ent-CDP to ent-kaurene [22].
In angiosperms and gymnosperms, the two consecutive cyclization reactions are catalyzed by two distinct monofunctional diterpene synthases: ent-copalyl diphosphate synthase (CPS, formerly ent-kaurene synthase A) and ent-kaurene synthase (KS, formerly ent-kaurene synthase B). CPS possesses the DXDD motif and exhibits ent-copalyl diphosphate synthase activity, while KS contains only the DDXXD motif and is responsible for synthase activity [23].
Beyond the involvement in gibberellin biosynthesis, ent-kaurene is an important intermediate in many specialized diterpenoid metabolic pathways, including the biosynthesis of various phytoalexins. Rice produces a variety of phytoalexins, including phytocassanes A-E, momilactones A and B, oryzalexins A-F, and oryzalexin S [24,25]. Many of them are related to kaurene synthase-like (KSL) family genes. Specifically, OsKSL4, OsKSL7, OsKSL8, and OsKSL10 encode syn-pimara-7,15-diene synthase, ent-cassadiene synthase, stemar-13-ene synthase, and ent-sandaracopimaradiene synthase, respectively, contributing to the biosynthesis of labdane-related phytoalexins [26]. OsKSL6 encodes ent-isokaurene synthase and is responsible for oryzadione biosynthesis [27]. In maize, ZmKSL3 and ZmKSL5 are proposed to be involved in diterpenoid phytoalexin biosynthesis due to their inducible expression patterns [28].
In this study, we identified and characterized 97 KSL proteins of 19 species belonging to evolutionary nodes or economic crops. In addition, gene duplication events among different species and syntenic analysis in rice were shown. OsKSL expression patterns in tissues and under various hormones and abiotic stresses were detected. Taken together, OsKSL1, OsKSL3, and OsKSL4 can be used to explore more functions in rice development and growth. These findings serve not only to assign the function to a further important OsKSL family member, but also provide a theoretical basis for rice breeding.

2. Results

2.1. Identification of KSL Family Members in Major Crops

PLN02279 (from the Conserved Protein Domain database in the NCBI) represents the conserved domain of KS family proteins. The domain of Terpene_synth (PF01397) and Terpene_synth_C (PF03936) are included in PLN02279. Here, we selected crops for the study objects, including monocotyledonous crops such as Oryza sativa and Zea mays, and dicotyledonous crops such as Brassica napus and Solanum tuberosum. Importantly, the planting area of these species covers most of the crop area. Moreover, the model plant Arabidopsis thaliana and two evolutionary nodes Selaginella moellendorfii and Phalaenopsis equestris were included. Then, a total of 97 nonredundant KS proteins with conserved KS domains across 19 plant genomes were identified (Table S1). The distribution of these KS proteins across the different species is as follows: Selaginella moellendorfii (Sm) (4), Oryza sativa (Os) (9), Zea mays (Zm) (5), Triticum aestivum (Ta) (24), Hordeum vulgare (Hv) (5), Sorghum bicolor (Sb) (1), Arabidopsis thaliana (At) (2), Brassica napus (Bn) (4), Phalaenopsis equestris (Pe) (4), Nicotiana tabacum (Nt) (8), Solanum lycopersicum (Sl) (5), Solanum tuberosum (St) (3), Lactuca sativa (Ls) (3), Helianthus annuus (Ha) (6), Glycine max (Gm) (2), Pisum sativum (Ps) (3), Vigna radiata (Vr) (2), Arachis hypogaea (Ah) (2), and Gossypium hirsutum (Gh) (5).
The identified genes were systematically renamed KSL1 to KSLn and the basic information was analyzed and are summarized in Table 1. These characteristics include the number of amino acids, molecular weight, and isoelectric point. The number of amino acids in these proteins varies from 716 to 950, while their MW ranges from 81 to 106 kDa. The PI values range from 5.03 to 7.29, indicating the range of acidity or basicity of the proteins. These comprehensive measurements provide valuable insights into the diverse characteristics of the identified proteins.

2.2. Phylogenetic Analysis and Classification of the KSL Family

To investigate the phylogenetic relationships among KSL family members in plants, a rooted maximum likelihood phylogenetic tree was generated with the 97 KSL proteins from the 19 species (Figure 1). The phylogenetic analysis revealed three distinct groups, which were strongly supported by a high-confidence bootstrap value greater than 95%, designated as group 1, group 2, and group 3. Furthermore, group 3 exhibited further subdivision into four subclasses, namely, group 3-1, group 3-2, group 3-3, and group 3-4.
The distribution of KSL proteins within the 19 species was analyzed and are summarized in Table 2. Among them, group 1 exclusively consisted of four KSL members from Selaginella moellendorfii, representing the Pteridophyta division. Group 2, group 3-1, group 3-2, and group 3-3 all belong to dicotyledon. In Prunus equestris, one KSL member was assigned to group 2, while three KSLs were categorized under group 3-3. For Nicotiana tabacum, Solanum lycopersicum, and Solanum tuberosum, known as Solanaceae plants, their KSLs were distributed among group 2, group 3-1, and group 3-2. Similarly, other dicotyledonous plants such as Arabidopsis thaliana and Helianthus annuus demonstrated KSL distribution in group 2 and group 3-2. In contrast, those in group 3-4 were exclusive to monocotyledon, and the KSLs of five monocotyledonous plants, including Oryza sativa and Zea mays, were categorized under this group. Generally, the distribution of KSL members among groups implied the evolutionary relationship of the KSL family.

2.3. Conserved Motif, Conserved Domain, and Gene Structure Analysis of KSL Family

To gain further insights into the motifs present in the KSL protein sequences, we executed the MEME online tool to identify and analyze 15 motifs in 97 KSL protein sequences (Figure S1). The composition and arrangement of the motifs are shown in Figure 2A. Although the motifs were generally similar, each of the three groups of KSLs, group 1, group 2, and group 3, exhibited distinct characteristics. Specifically, group 1 lacked motif 10 in all of its four KSLs, group 2 showed the absence of motif 8 in most of its KSLs, and group 3 generally contained all 15 motifs. These findings strongly suggested the existence of a significant relationship between motif composition differences and the functional divergence of KSL proteins within the three distinct groups.
PLN02279 represents the characteristic structure of the KS (ent-kaur-16-ene synthase) superfamily according to the NCBI CDD database. As shown in Figure 2B, the KS domain was highly conserved among KSL members, with all 97 identified KSLs containing this structure. PLN02279 served as the primary functional structure within KSL proteins, encompassing the majority of their amino acid composition. However, at the protein domain level, group 2 differed from other groups in that there were some additional regions at the C terminal of the KSL protein.
The KSL gene structures were visualized based on the GFF3 files (Figure 2C). Although KSL members were conserved in protein structures, there was considerable diversity in terms of gene structures both within and between species. For example, some genes were notably shorter, measuring less than 5000 bp, while the longest gene, namely, PeKSL1, spanned over 45,000 bp. It is worth noting that these differences in gene length primarily stemmed from variations in intron content.

2.4. Analysis of Cis-Acting Elements in the Promoter Region of KSL Genes

Although various important metabolism products, including phytocassanes A-G and momilactones, which play significant roles in biotic stress like rice blast fungus and white leaf blight, can be formed by catalysis of paralogs of KSL, we were curious about the role of the OsKSL gene family in abiotic stress. Meanwhile, most of the functional cis-acting elements are concentrated within proximal promoters, usually spanning the region from −1000 bp to +200 bp relative to the transcription start site (TSS). Therefore, we analyzed the 2000 bp nucleotide sequence located upstream of the ATG initiation codon for all 97 KSL genes using the PlantCARE online tool. The types and their motif sequences of identified cis-acting elements are shown in the Supplementary Materials. The distribution and arrangement of 14 type elements within 97 KSL promoters are shown in Figure 3A.
Figure 3B shows that the elements of light response were present in all 19 species, with the highest frequency among the 14 element types. This finding suggests that light response is a significant functional aspect associated with KSL genes. We also observed the presence of anaerobic response elements in all 19 plant species, as denoted by the red labels in Figure 3A. This widespread distribution emphasizes the importance and evolutionary conservation of KSL genes in anaerobic responses. Moreover, a relatively larger number of abscisic acid response elements (blue) and MeJA response elements (cyan) were observed across 19 plants. Although KS genes are vital in GA synthesis, it was noteworthy that gibberellin response elements were not detected in every KSL promoter. Furthermore, other cis-acting elements exhibited a less widespread distribution throughout the KSL genes of the 19 species. In conclusion, the OsKSL gene family possibly participates in light response, ABA response, and anaerobic response. As a result, the next experiments focused on these three abiotic stresses.

2.5. Collinearity Analysis of KSL Genes between Plant Species

To obtain insight into the evolutionary orthologous relationships of KSL genes among different plant species, a collinearity analysis of KSL genes was conducted (Figure S2). Then, based on the collinearity analysis between the two species, we made an overview diagram (Figure 4). Surprisingly, comparing all of the monocotyledon and dicotyledon pairs, we found that there was no direct KSL gene duplication across the two classes, implying that the gene function of the KSL family in monocots and dicots may be precisely regulated. Subsequently, a collinearity analysis of the KSL genes between monocots and dicots revealed good collinearity relationships between specific KSL genes (Figure 3 and Figure S2). For instance, among Poaceae species, including rice, wheat, maize, and barley, OsKSL1 displayed collinearity with HvKSL5 and TaKSL22, while OsKSL4 showed collinearity with HvKSL2, ZmKSL4, and TaKSL5/12/7. This finding underscored the significance and high conservation of OsKSL1 and OsKSL4. For dicots, more collinearity gene pairs were identified in the same family, such as Cruciferae (four gene pairs in Arabidopsis and Brassica napus) and Solanaceae (three gene pairs in tomato and potato). To confirm the results of the collinearity analysis, pairwise protein sequence alignments were conducted (Figures S3–S8), indicating the high homology of corresponding KSL pairs.
We also made a collinear correlation of the KSLs gene in rice, but no collinear relationship was found, although the OsKSL3, OsKSL7, and OsKSL9, and OsKSL4, OsKSL2 and OsKSL5 genes formed two gene clusters in chromosome 2 and 4, respectively (Figure S9). This result suggested that the expansion of OsKSL family members most possibly depends on transposons rather than gene duplication. Notably, OsKSL6 and OsKSL8 were located in chromosomes 12 and 11, respectively.

2.6. Tissue Expression Patterns of KSL Genes in Rice

Tissue-specific expression profiles are associated with the function of genes [29,30,31]. To investigate the characteristics of OsKSL expression in different tissues (bud, leaf, panicle, sheath, root, and stem), qRT-PCR analysis was performed. As shown in Figure 5, most of the OsKSLs were generally expressed in various tissues, with OsKSL3 and OsKSL5 preferentially expressed in the root and OsKSL4 in the leaf. Interestingly, gene homology was not associated with tissue expression specificity, since OsKSL2 had the highest homology with OsKSL3 among the OsKSL gene family (Figure 1).

2.7. Expression Patterns of OsKSL Genes under GA and PAC Treatment

As the OsKSL2 protein can transfer ent-copalyl diphosphate (ent-CDP) into gibberellins, we wondered whether GA would influence OsKSL expression. Therefore, the 6-day seedling Nip (CK) was hydroponically cultured with 10 μM GA or 10 μM PAC, a GA synthesis inhibitor, for 6 days (Figure 6A). Nip supplemented with GA was higher than the control group, while those treated with PAC had the lowest height (Figure 6A,B). Next, qRT-PCR was used to detect the expressions of nine OsKSL genes under GA or PAC treatment (Figure 6C–K).
Unsurprisingly, the transcript level of OsKSL2 was strongly repressed by PAC, although it did not seem to be affected by GA. The gene expression of OsKSL1, which encodes syn-pimara-7,15-diene synthase, was induced dramatically by GA, while there was an opposite trend in PAC treatment, suggesting it is possibly involved in the regulation of rice plant height [33]. Moreover, the expression patterns of the rest of the OsKSLs were consistent, regardless of GA or PAC treatment. For example, GA and PAC severely repressed OsKSL6 and OsKSL8 expressions, which implied that they are not associated with plant height or that every metabolic pathway is adjusted by distinct factors. In summary, OsKSL1 and OsKSL2 may play an important role in controlling plant height by participating in the GA pathway.

2.8. Responses of OsKSL Genes under Abiotic Stresses in Rice

Given the previous cis-element analysis results and the reports of KS related to pathogen infection, our study focused on the response of KSL genes to light, ABA, and anaerobic stress. Then, qRT-PCR analysis was used to verify whether these genes were responding to the above stresses.
Surprisingly, only four genes (OsKSL1, OsKSL3, OsKSL4, and OsKSL6) responded to light with an inclined trend, while the light response element was the maximum element in the promoters of the KSL gene family of 19 species (Figure S10). The number of ABA response elements was followed by the figure for light. With ABA treatment, the expression profile of OsKSLs could be classified into three categories (Figure 7). Firstly, ABA could effectively suppress OsKSL1 and OsKSL9 expression. Secondly, the gene expression of OsKSL3 gradually increased. Additionally, the expression for OsKSL5 had a rising trend, although it fluctuated up and down. The last class members were OsKSL4 and OsKSL7, which first grew and then fell. In terms of submergence, the expression of six OsKSLs except for OsKSL2, OsKSL6, and OsKSL8 was repressed, although the figures for OsKSL7 and OsKSL9 after 24 h of treatment were higher than after 12 h treatment. Only OsKSL8 was induced by anaerobic stress (Figure 8). In general, ABA and submergence impacted the majority of the OsKSLs’ expression, meaning that OsKSLs may work under these stresses.

3. Discussion

Previous research regarding KSLs focused on their biochemical functions [26,34] and evolutionary process [27,35], especially those that can form gene clusters with other genes involved in the same metabolic pathway, such as OsKSL1 and OsKSL3 [36], encoding syn-pimara-7,15-diene synthase and ent-cassa-12,15-diene synthase, respectively. Meanwhile, as the KSL family is responsible for the biosynthesis of phytohormone gibberellins and phytoalexins, which are associated with biotic stress, the functions of KSLs on biotic stress have been intensively documented in several studies. However, the role of the KSL family in rice remains uncertain, especially in abiotic stress. Therefore, we detected the KSL gene family in 19 species and analyzed their phylogenetic relationship, conserved motifs, and cis-acting elements of the promoter. Furthermore, the tissue expression profile and different responses of OsKSL family genes under hormone treatment (GA, PAC, and ABA), dark environment, and anaerobic stress were also explored.
Based on their biochemical function, KSL family members can be divided into three categories: bifunctional cyclase, ent-kaurene synthase, and the enzymes associated with phytoalexin synthesis. Firstly, the bifunctional cyclases presented in fungi Gibberella fujikuroi, sporophytes Physcomitrella patens, and Selaginella moellendorffii were distinguishable from the monofunctional ent-kaurene synthase in higher plants [37]. In the KSL family of higher plants, ent-kaurene synthase (KS) was involved in GA synthesis to regulate plant growth and development, while ent-kaurene synthase-like (KSL) was involved in the synthesis of various phytoalexins to regulate plant defense response [34]. In rice, OsKSL2 encodes an ent-kaurene synthase for GA biosynthesis, while OsKSL1, OsKSL3, OsKSL6, OsKSL7, OsKSL8, and OsKSL9 encode syn-pimaradiene synthase, ent-cassadiene synthase, ent-sandaracopimaradiene synthase, ent-sandaracopimaradiene synthase, stemarene synthase, and ent-isokaurene synthase, respectively, for the biosynthesis of different kinds of phytoalexins, such as phytocassanes, momilactones, and oryzalexins [27].
Consistent with different biochemical functions, the phylogenetic tree of KSLs can be categorized into three clades (Figure 1). Firstly, group 1 contained bifunctional enzymes of sporophyte plants. Secondly, group 2 contained KSL members involved in the synthesis of phytoalexins in dicotyledonous plants. For example, in group 2, AtKSL2, BnKSL3, BnKSL4, NtKSL7, NtKSL8, SlKSL5, StKSL3, GhKSL3, GhKSL4, GhKSL5, and VrKSL2 encode geranyl linalool synthase for phytoalexins synthesis instead of ent-kaurene synthesis. LsKSL3, HaKSL6, PsKSL2, PsKSL3, and PeKSL4 all encode S-linalool synthase instead of KS, which should also be related to phytoalexin synthesis. As expected, in group 3-2, AtKSL1, BnKSL1, BnKSL2, SlKSL1, StKSL1, and GmKSL1 encode KS, which should be involved in GA synthesis. In addition, in group 3-3, PeKSL1, PeKSL2, and PeKSL3 encode KS as well, which indicates that group 3-1, group 3-2, and group 3-3 were the groups of KS with differences. Thirdly, all KSLs in monocotyledons were grouped into group 3-4, indicating that the protein sequences of KSLs in monocots and dicots were obviously distinguishable. The classification of KSLs in monocotyledons was similar to that in dicotyledons. For example, OsKSL2, ZmKSL4, and SbKSL1 encoding KS were grouped. OsKSL1, TaKSL20, TaKSL21, TaKSL22, and so on, which encode pimaradiene synthase, were classified together, as were OsKSL6, OsKSL7, OsKSL8, and OsKSL9, which participate in phytoalexin synthesis.
To obtain insight into the evolutionary orthologous relationships of KSL genes among different plant species, a collinearity analysis of KSL genes was conducted (Figure 4). The species with a closed evolutionary relationship had more collinearity pairs, such as tomato and potato. Generally, the homology genes of different species have similar functions [38]. Thus, we can speculate the function of an unknown gene according to the functional study of its homology gene. Compared to WT, the gmksl4/ks3-1 maize mutant reduces the production of endogenous gibberellin, but shows a stronger drought resistance, suggesting that the homology genes of GmKSL4 (HvKSL2 and OsKSL4) may alter plants’ drought resistance [7]. In Arabidopsis, AtKSL1/AtKS overexpression lines show similar phenotypes to WT for flowering time and rosette development [39]. It is possible that BnKSL1 and BnKSL2, the homology genes of AtKSL1, cannot influence plant PAC tolerance. Surprisingly, we found that there was no KSL gene duplication shared between monocotyledons and dicotyledons. As the differentiation degree between the monocots and dicots is extremely high, the evolutionary track of KSLs between them is subtle. Selecting the evolutionary node species and performing collinearity may be helpful. For instance, GmKSL1, SlKSL1, and AtKSL1 cannot form collinearity pairs. It was BnKSL1 and BnKSL2 that tied them together.
To investigate the expression profile of OsKSLs in different tissues, qRT-PCR analysis was performed. It was found that the homology between OsKSL2 and OsKSL3 was high; however, their expression patterns were different. Firstly, their promoters were analyzed and there were large differences in the two promoter sequences, which may be the main reason why the expression patterns of these two genes exhibit differences. Additionally, we also analyzed their gene structures. OsKSL3 has a long intron in the 5′ terminal while OsKSL2 does not, implying that the gene structure might influence the expression level.
To explore the role of OsKSLs in abiotic stress, the cis-acting elements of KSL promoters in 19 species were detected and accounted (Figure 3). The number of components in order from most to least is light response, MeJA, ABA response, and anaerobic response. Although the light response element appeared most frequently, only four genes responded to darkness. The transcript levels of OsKSL1, OsKSL3, and OsKSL7 represented three patterns of ABA response, indicating that these genes can be used to explore their role in the ABA pathway. Interestingly, submergence influenced seven OsKSLs’ gene expression. Based on tissue expression and expression profiles in diverse situations, OsKSL1, OsKSL3, and OsKSL4 were optimal genes for follow-up experiments, such as observing physiological phenotypes of mutants or overexpression lines under the above treatments and investigating the underlying regulatory mechanism [40,41].
We also found that no matter the species or gene families, these four types of cis-acting elements have the most frequent occurrence [42,43]. It is possible that plants are required to be sensitive to these stimuli for survival or that the algorithm for analyzing promoters needs to be improved. Also, the response of KSLs to other environmental stimuli (e.g., UV and CuCl2) should be assessed. Finally, this study systematically analyzed the KSL family of 19 species and preliminarily studied the role of OsKSLs in several hormones and abiotic stresses that provide the theoretical basis for reverse genetics. Further functional verification should be carried out to understand the role of OsKSL family genes under different conditions.

4. Materials and Methods

4.1. Identification of KSL Genes among 19 Species

Considering the role of evolutionary processes and economics, we selected 19 plant species. To perform genome-wide identification of the KSL gene family across these species, we downloaded 19 species genomes and their corresponding annotation documents from the NCBI database (https://www.ncbi.nlm.nih.gov/, accessed on 18 April 2023). Meanwhile, the Hidden Markov models (HMMs) of the Terpene_ synth domain (Pfam: PF01397) and Terpene_synth_C domain (Pfam: PF03936) were downloaded from the Pfam database (http://www.sanger.ac.uk/Software/Pfam, accessed on 18 April 2023). The potential KSL genes were identified using TBtools, with statistical significance indicated by an e-value threshold of <10−5 [44]. These retrieved sequences were screened by the SMART database (http://smart.embl-heidelberg.de/, accessed on 18 April 2023). After removing redundant transcripts, the dataset containing 97 KS proteins of 19 species was used for further analysis. The prediction of physicochemical properties, like the isoelectric point and molecular weight, was calculated by TBtools (v2.069).

4.2. Phylogenetic and Protein Structure Analyses of the KSL Family

The above verified KSL protein sequences were subjected to multiple sequence alignments using MUSCLE alignment. The neighbor-joining tree was constructed by MEGA 7 with a bootstrap test (1000 replicates) [44]. Finally, the Interactive Tree of Life (iTOL) web (https://itol.embl.de/, accessed on 18 April 2023) refined and visualized the phylogenetic tree.
The conserved motif and domain analyses of KSL proteins were elucidated by using the online MEME website (https://meme-suite.org/meme/tools/meme, accessed on 18 April 2023) and Batch CD-Search (https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi, accessed on 18 April 2023), respectively [45,46]. Both of these results were combined by TBtools [47].

4.3. Collinearity Analysis and Chromosomal Distribution of KSL Genes

To uncover the evolutional process of the KSL family among dicots and monocots, collinearity analysis was performed by Multiple Collinearity Scan (MCScanX), a toolkit from TBtools. Species genomes and their corresponding annotation documents were required to complete this analysis. To confirm the results of the collinearity analysis, multiple sequence alignments were performed by the online website ESPript (https://espript.ibcp.fr, accessed on 18 April 2023) [48]. Also, TBtools was responsive enough to calculate and visual KSLs loci on chromosomes.

4.4. Cis-Acting Element Analysis of KSL Promoters

The 2000 bp upstream of KSLs was recognized as their potential promoter. Here, 97 KSLs promoter sequences were retrieved by the Gtf/Gff3 Sequences Extract toolkit. Then, we used PlantCARE (https://bioinformatics.psb.ugent.be/webtools/plantcare/html/, accessed on 18 April 2023) to calculate all known cis-acting elements. The xls. document produced by PlantCARE was required to be modified, such as removing redundant and uncharacterized cis-acting elements. The resultant document was used to visualize the results by TBtools.

4.5. Plant Materials and Stress Treatments

In this study, Nipponbare (Nip) was used as the experimental material to analyze the expression profile of OsKSL family members. The seeds were placed on filter papers and soaked in deionized water at 30 °C for 2 days. After germination, the seeds grew in hydroponic boxes with 1/5 Hoagland Nutrient Solution (PHYGENE) at 32 °C (light) and 25 °C (darkness) for a week. The hydroponic experiment was performed with a 14 h light and 10 h darkness cycle. Six-day-old seedlings were used for a variety of hormone and abiotic stress treatments. Configured hormones (10 μM GA, 10 μM PAC, and 50 μM ABA) were added directly into the nutrient solution. The seedlings grew in darkness and were submerged for the light experiment and anaerobic treatment, respectively. Every experiment was performed with triple biological repeats and the representative results were shown. The aerial tissues of 4 units were sampled and the photographs of GA and PAC were taken at the described time point for RT-qPCR analysis. Triple biological replications were used in the RT-qPCR assay.

4.6. RNA Extraction and Quantitative/Real-Time-PCR (RT-qPCR) Analysis

The total RNA of the abovementioned plant materials was extracted by TRIzol (Coolaber) and 1.2 μg total RNA was reverse-transcribed into cDNA (Vazyme, Nanjing, China) for subsequent experiments. The qRT-PCR experiment was performed using the CFX384 real-time system (Biorad, America, CA, USA). The ChamQ universal SYBR qPCR Master Mix (Vazyme, China) reagent was utilized. Every experiment had three biological duplications. The reference gene was the OsUBQ of Oryza sativa. The primers used in the experiment are listed in Table S2.

5. Conclusions

We identified the KSL family of 19 species by domain analysis and grouped 97 KSL family proteins into three categories. A collinearity analysis of KSL among Poaceae indicated that the KSL gene may independently evolve and OsKSL1 and OsKSL4 likely play a significant role in the evolutionary process. Tissue expression analysis showed that only OsKSL3 and OsKSL5 were specifically expressed in the root and OsKSL4 in the leaf. The qRT-PCR results suggested that OsKSL1 was extremely likely to be involved in the regulation of plant height, and OsKSL1, OsKSL3, and OsKSL4 can be candidate genes for abiotic stress.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms25105513/s1.

Author Contributions

Data curation, Y.T., Y.W., Y.Z. and Q.X.; Funding acquisition, T.C.; Methodology, Q.Z.; Project administration, T.C.; Supervision, M.C.; Writing—original draft, Y.T. and Y.W.; Writing—review and editing, M.C. and T.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received the Starting Research Fund from Hangzhou Normal University (2019QDL015).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article and Supplementary Material.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Yamaguchi, S.; Sun, T.; Kawaide, H.; Kamiya, Y. The GA2 locus of Arabidopsis thaliana encodes ent-kaurene synthase of gibberellin biosynthesis. Plant Physiol. 1998, 116, 1271–1278. [Google Scholar] [CrossRef]
  2. Wang, Y.; Zhao, J.; Lu, W.; Deng, D. Gibberellin in plant height control: Old player, new story. Plant Cell Rep. 2017, 36, 391–398. [Google Scholar] [CrossRef]
  3. Hedden, P. The Current Status of Research on Gibberellin Biosynthesis. Plant Cell Physiol. 2020, 61, 1832–1849. [Google Scholar] [CrossRef]
  4. Silverstone, A.L.; Chang, C.; Krol, E.; Sun, T.P. Developmental regulation of the gibberellin biosynthetic gene GA1 in Arabidopsis thaliana. Plant J. 1997, 12, 9–19. [Google Scholar] [CrossRef] [PubMed]
  5. Tezuka, D.; Ito, A.; Mitsuhashi, W.; Toyomasu, T.; Imai, R. The rice ent-kaurene synthase like 2 encodes a functional ent-beyerene synthase. Biochem. Biophys. Res. Commun. 2015, 460, 766–771. [Google Scholar] [CrossRef]
  6. Helliwell, C.A.; Sullivan, J.A.; Mould, R.M.; Gray, J.C.; Peacock, W.J.; Dennis, E.S. A plastid envelope location of Arabidopsis ent-kaurene oxidase links the plastid and endoplasmic reticulum steps of the gibberellin biosynthesis pathway. Plant J. 2001, 28, 201–208. [Google Scholar] [CrossRef]
  7. Wu, H.; Bai, B.; Lu, X.; Li, H. A gibberellin-deficient maize mutant exhibits altered plant height, stem strength and drought tolerance. Plant Cell Rep. 2023, 42, 1687–1699. [Google Scholar] [CrossRef] [PubMed]
  8. Gao, Y.; Huang, S.; Qu, G.; Fu, W.; Zhang, M.; Liu, Z.; Feng, H. The mutation of ent-kaurene synthase, a key enzyme involved in gibberellin biosynthesis, confers a non-heading phenotype to Chinese cabbage (Brassica rapa L. ssp. pekinensis). Hortic. Res. 2020, 7, 178. [Google Scholar] [CrossRef] [PubMed]
  9. Li, Z.F.; Guo, Y.; Ou, L.; Hong, H.; Wang, J.; Liu, Z.X.; Guo, B.; Zhang, L.; Qiu, L. Identification of the dwarf gene GmDW1 in soybean (Glycine max L.) by combining mapping-by-sequencing and linkage analysis. Theor. Appl. Genet. 2018, 131, 1001–1016. [Google Scholar] [CrossRef]
  10. Miyazaki, S.; Nakajima, M.; Kawaide, H. Hormonal diterpenoids derived from ent-kaurenoic acid are involved in the blue-light avoidance response of Physcomitrella patens. Plant Signal. Behav. 2015, 10, e989046. [Google Scholar] [CrossRef]
  11. Hayashi, K.; Horie, K.; Hiwatashi, Y.; Kawaide, H.; Yamaguchi, S.; Hanada, A.; Nakashima, T.; Nakajima, M.; Mander, L.N.; Yamane, H.; et al. Endogenous diterpenes derived from ent-kaurene, a common gibberellin precursor, regulate protonema differentiation of the moss Physcomitrella patens. Plant Physiol. 2010, 153, 1085–1097. [Google Scholar] [CrossRef] [PubMed]
  12. Shimane, M.; Ueno, Y.; Morisaki, K.; Oogami, S.; Natsume, M.; Hayashi, K.; Nozaki, H.; Kawaide, H. Molecular evolution of the substrate specificity of ent-kaurene synthases to adapt to gibberellin biosynthesis in land plants. Biochem. J. 2014, 462, 539–546. [Google Scholar] [CrossRef] [PubMed]
  13. Zhou, K.; Xu, M.; Tiernan, M.; Xie, Q.; Toyomasu, T.; Sugawara, C.; Oku, M.; Usui, M.; Mitsuhashi, W.; Chono, M.; et al. Functional characterization of wheat ent-kaurene(-like) synthases indicates continuing evolution of labdane-related diterpenoid metabolism in the cereals. Phytochemistry 2012, 84, 47–55. [Google Scholar] [CrossRef] [PubMed]
  14. Itoh, A.; Nakazato, S.; Wakabayashi, H.; Hamano, A.; Shenton, M.R.; Miyamoto, K.; Mitsuhashi, W.; Okada, K.; Toyomasu, T. Functional kaurene-synthase-like diterpene synthases lacking a gamma domain are widely present in Oryza and related species. Biosci. Biotechnol. Biochem. 2021, 85, 1945–1952. [Google Scholar] [CrossRef] [PubMed]
  15. Toyomasu, T.; Shenton, M.R.; Okada, K. Evolution of Labdane-Related Diterpene Synthases in Cereals. Plant Cell Physiol. 2020, 61, 1850–1859. [Google Scholar] [CrossRef] [PubMed]
  16. Shimada, T.; Minato, S.; Hasegawa, Y.; Miyamoto, K.; Minato, Y.; Shenton, M.R.; Okada, K.; Kawaide, H.; Toyomasu, T. Characterization of diterpene synthase genes in Brachypodium distachyon, a monocotyledonous model plant, provides evolutionary insight into their multiple homologs in cereals. Biosci. Biotechnol. Biochem. 2023, 88, 8–15. [Google Scholar] [CrossRef] [PubMed]
  17. Toyomasu, T.; Kawaide, H.; Ishizaki, A.; Shinoda, S.; Otsuka, M.; Mitsuhashi, W.; Sassa, T. Cloning of a full-length cDNA encoding ent-kaurene synthase from Gibberella fujikuroi: Functional analysis of a bifunctional diterpene cyclase. Biosci. Biotechnol. Biochem. 2000, 64, 660–664. [Google Scholar] [CrossRef] [PubMed]
  18. Kawaide, H.; Imai, R.; Sassa, T.; Kamiya, Y. ent-kaurene synthase from the fungus Phaeosphaeria sp. L487. cDNA isolation, characterization, and bacterial expression of a bifunctional diterpene cyclase in fungal gibberellin biosynthesis. J. Biol. Chem. 1997, 272, 21706–21712. [Google Scholar] [CrossRef] [PubMed]
  19. Hayashi, K.; Kawaide, H.; Notomi, M.; Sakigi, Y.; Matsuo, A.; Nozaki, H. Identification and functional analysis of bifunctional ent-kaurene synthase from the moss Physcomitrella patens. FEBS Lett. 2006, 580, 6175–6181. [Google Scholar] [CrossRef]
  20. Anterola, A.; Shanle, E.; Mansouri, K.; Schuette, S.; Renzaglia, K. Gibberellin precursor is involved in spore germination in the moss Physcomitrella patens. Planta 2009, 229, 1003–1007. [Google Scholar] [CrossRef]
  21. Prisic, S.; Xu, J.; Coates, R.M.; Peters, R.J. Probing the role of the DXDD motif in Class II diterpene cyclases. Chembiochem 2007, 8, 869–874. [Google Scholar] [CrossRef] [PubMed]
  22. Christianson, D.W. Structural biology and chemistry of the terpenoid cyclases. Chem. Rev. 2006, 106, 3412–3442. [Google Scholar] [CrossRef] [PubMed]
  23. Yamaguchi, S. Gibberellin metabolism and its regulation. Annu. Rev. Plant Biol. 2008, 59, 225–251. [Google Scholar] [CrossRef] [PubMed]
  24. Cho, M.H.; Lee, S.W. Phenolic Phytoalexins in Rice: Biological Functions and Biosynthesis. Int. J. Mol. Sci. 2015, 16, 29120–29133. [Google Scholar] [CrossRef] [PubMed]
  25. Kariya, K.; Ube, N.; Ueno, M.; Teraishi, M.; Okumoto, Y.; Mori, N.; Ueno, K.; Ishihara, A. Natural variation of diterpenoid phytoalexins in cultivated and wild rice species. Phytochemistry 2020, 180, 112518. [Google Scholar] [CrossRef] [PubMed]
  26. Xu, M.; Wilderman, P.R.; Morrone, D.; Xu, J.; Roy, A.; Margis-Pinheiro, M.; Upadhyaya, N.M.; Coates, R.M.; Peters, R.J. Functional characterization of the rice kaurene synthase-like gene family. Phytochemistry 2007, 68, 312–326. [Google Scholar] [CrossRef] [PubMed]
  27. Toyomasu, T.; Miyamoto, K.; Shenton, M.R.; Sakai, A.; Sugawara, C.; Horie, K.; Kawaide, H.; Hasegawa, M.; Chuba, M.; Mitsuhashi, W.; et al. Characterization and evolutionary analysis of ent-kaurene synthase like genes from the wild rice species Oryza rufipogon. Biochem. Biophys. Res. Commun. 2016, 480, 402–408. [Google Scholar] [CrossRef] [PubMed]
  28. Fu, J.; Ren, F.; Lu, X.; Mao, H.; Xu, M.; Degenhardt, J.; Peters, R.J.; Wang, Q. A Tandem Array of ent-kaurene synthases in Maize with Roles in Gibberellin and More Specialized Metabolism. Plant Physiol. 2016, 170, 742–751. [Google Scholar] [CrossRef]
  29. Zhang, M.; Cao, Y.; Wang, Z.; Wang, Z.-q.; Shi, J.; Liang, X.; Song, W.; Chen, Q.; Lai, J.; Jiang, C. A retrotransposon in an HKT1 family sodium transporter causes variation of leaf Na+ exclusion and salt tolerance in maize. New Phytologist. 2018, 217, 1161–1176. [Google Scholar] [CrossRef]
  30. Zhang, M.; Liang, X.; Wang, L.; Cao, Y.; Song, W.; Shi, J.; Lai, J.; Jiang, C. A HAK family Na(+) transporter confers natural variation of salt tolerance in maize. Nat. Plants 2019, 5, 1297–1308. [Google Scholar] [CrossRef]
  31. Frisse, A.; Pimenta, M.J.; Lange, T. Expression studies of gibberellin oxidases in developing pumpkin seeds. Plant Physiol. 2003, 131, 1220–1227. [Google Scholar] [CrossRef] [PubMed]
  32. Cai, M.; Zhu, S.; Wu, M.; Zheng, X.; Wang, J.; Zhou, L.; Zheng, T.; Cui, S.; Zhou, S.; Li, C.; et al. DHD4, a CONSTANS-like family transcription factor, delays heading date by affecting the formation of the FAC complex in rice. Mol. Plant 2021, 14, 330–343. [Google Scholar] [CrossRef] [PubMed]
  33. Teng, Y.; Cai, M.; Xie, Q.; Liu, Q.; Zhang, H.; Chen, T. BEAR1, a bHLH transcription factor, controls seedling growth by regulating gibberellins biosynthesis in rice. Crop J. 2023, 11, 744–755. [Google Scholar] [CrossRef]
  34. Margis-Pinheiro, M.; Zhou, X.R.; Zhu, Q.H.; Dennis, E.S.; Upadhyaya, N.M. Isolation and characterization of a Ds-tagged rice (Oryza sativa L.) GA-responsive dwarf mutant defective in an early step of the gibberellin biosynthesis pathway. Plant Cell Rep. 2005, 23, 819–833. [Google Scholar] [CrossRef] [PubMed]
  35. Miyamoto, K.; Fujita, M.; Shenton, M.R.; Akashi, S.; Sugawara, C.; Sakai, A.; Horie, K.; Hasegawa, M.; Kawaide, H.; Mitsuhashi, W.; et al. Evolutionary trajectory of phytoalexin biosynthetic gene clusters in rice. Plant J. 2016, 87, 293–304. [Google Scholar] [CrossRef] [PubMed]
  36. Kitaoka, N.; Zhang, J.; Oyagbenro, R.K.; Brown, B.; Wu, Y.; Yang, B.; Li, Z.; Peters, R.J. Interdependent evolution of biosynthetic gene clusters for momilactone production in rice. Plant Cell 2021, 33, 290–305. [Google Scholar] [CrossRef] [PubMed]
  37. Sakamoto, T.; Miura, K.; Itoh, H.; Tatsumi, T.; Ueguchi-Tanaka, M.; Ishiyama, K.; Kobayashi, M.; Agrawal, G.K.; Takeda, S.; Abe, K.; et al. An overview of gibberellin metabolism enzyme genes and their related mutants in rice. Plant Physiol. 2004, 134, 1642–1653. [Google Scholar] [CrossRef]
  38. Chen, W.; Chen, L.; Zhang, X.; Yang, N.; Guo, J.; Wang, M.; Ji, S.; Zhao, X.; Yin, P.; Cai, L.; et al. Convergent selection of a WD40 protein that enhances grain yield in maize and rice. Science 2022, 375, eabg7985. [Google Scholar] [CrossRef] [PubMed]
  39. Fleet, C.M.; Yamaguchi, S.; Hanada, A.; Kawaide, H.; David, C.J.; Kamiya, Y.; Sun, T.-p. Overexpression of AtCPS and AtKS in Arabidopsis Confers Increased ent-Kaurene Production But No Increase in Bioactive Gibberellins. Plant Physiol. 2003, 132, 830–839. [Google Scholar] [CrossRef]
  40. Okada, A.; Okada, K.; Miyamoto, K.; Koga, J.; Shibuya, N.; Nojiri, H.; Yamane, H. OsTGAP1, a bZIP transcription factor, coordinately regulates the inductive production of diterpenoid phytoalexins in rice. J. Biol. Chem. 2009, 284, 26510–26518. [Google Scholar] [CrossRef]
  41. Wang, L.; Fu, J.; Shen, Q.; Wang, Q. OsWRKY10 extensively activates multiple rice diterpenoid phytoalexin biosynthesis genes to enhance rice blast resistance. Plant J. 2023, 115, 758–771. [Google Scholar] [CrossRef] [PubMed]
  42. Sun, M.; Cai, M.; Zeng, Q.; Han, Y.; Zhang, S.; Wang, Y.; Xie, Q.; Chen, Y.; Zeng, Y.; Chen, T. Genome-Wide Identification and Expression Analysis of UBiA Family Genes Associated with Abiotic Stress in Sunflowers (Helianthus annuus L.). Int. J. Mol. Sci. 2023, 24, 1883. [Google Scholar] [CrossRef] [PubMed]
  43. Han, Y.; Cai, M.; Zhang, S.; Chai, J.; Sun, M.; Wang, Y.; Xie, Q.; Chen, Y.; Wang, H.; Chen, T. Genome-Wide Identification of AP2/ERF Transcription Factor Family and Functional Analysis of DcAP2/ERF#96 Associated with Abiotic Stress in Dendrobium catenatum. Int. J. Mol. Sci. 2022, 23, 3603. [Google Scholar] [CrossRef] [PubMed]
  44. Chen, C.; Chen, H.; Zhang, Y.; Thomas, H.R.; Frank, M.H.; He, Y.; Xia, R. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol. Plant 2020, 13, 1194–1202. [Google Scholar] [CrossRef] [PubMed]
  45. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [PubMed]
  46. Wang, J.; Chitsaz, F.; Derbyshire, M.K.; Gonzales, N.R.; Gwadz, M.; Lu, S.; Marchler, G.H.; Song, J.S.; Thanki, N.; Yamashita, R.A.; et al. The conserved domain database in 2023. Nucleic Acids Res. 2023, 51, D384–D388. [Google Scholar] [CrossRef] [PubMed]
  47. Bailey, T.L.; Johnson, J.; Grant, C.E.; Noble, W.S. The MEME Suite. Nucleic Acids Res. 2015, 43, W39–W49. [Google Scholar] [CrossRef]
  48. Robert, X.; Gouet, P. Deciphering key features in protein structures with the new ENDscript server. Nucleic Acids Res. 2014, 42, W320–W324. [Google Scholar] [CrossRef]
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Figure 1. Phylogenetic analysis of the KSL family. Phylogenetic tree constructed by 97 proteins from 19 plant species. The 6 subfamilies of KSLs, including group 1, group 2, group 3-1, group 3-2, group 3-3, and group 3-4, are labeled with different colors. The 19 plant species are grouped into three major clades: Pteridophyta, dicotyledon, and monocotyledon, marked with different colors. Different colored points in the middle of the evolutionary tree branch represent different bootstrap values, red dots (80–100), gold dots (60–80), and gray dots (0–60).
Figure 1. Phylogenetic analysis of the KSL family. Phylogenetic tree constructed by 97 proteins from 19 plant species. The 6 subfamilies of KSLs, including group 1, group 2, group 3-1, group 3-2, group 3-3, and group 3-4, are labeled with different colors. The 19 plant species are grouped into three major clades: Pteridophyta, dicotyledon, and monocotyledon, marked with different colors. Different colored points in the middle of the evolutionary tree branch represent different bootstrap values, red dots (80–100), gold dots (60–80), and gray dots (0–60).
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Figure 2. Phylogenetic relationships and structural features of 97 KSL genes in 19 species. (A) Motif composition: The diversity and distribution of conserved motifs in the KSL proteins are depicted as colored boxes, each representing a distinct motif, annotated with motif numbers for identification. (B) Domain architecture: The consistent presence of the KS (keto-synthase) domain within KSL genes is illustrated by orange boxes, while the gray boxes delineate regions outside the KS domain. (C) Gene structure: Exonic regions of KSL genes are represented by orange boxes for coding sequences and purple boxes for untranslated regions (UTRs), while intronic sequences are depicted by gray lines connecting exons.
Figure 2. Phylogenetic relationships and structural features of 97 KSL genes in 19 species. (A) Motif composition: The diversity and distribution of conserved motifs in the KSL proteins are depicted as colored boxes, each representing a distinct motif, annotated with motif numbers for identification. (B) Domain architecture: The consistent presence of the KS (keto-synthase) domain within KSL genes is illustrated by orange boxes, while the gray boxes delineate regions outside the KS domain. (C) Gene structure: Exonic regions of KSL genes are represented by orange boxes for coding sequences and purple boxes for untranslated regions (UTRs), while intronic sequences are depicted by gray lines connecting exons.
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Figure 3. Promoter cis-element composition analysis of 97 KSLs promoters. (A) Distribution of cis-regulatory elements within the promoter regions of KSL gene family members. A 2000 bp region upstream from the transcription start site (displayed in gray) was examined for each KSL promoter. Colored bars represent different categories of regulatory elements. (B) Heatmap representation of the frequency of cis-regulatory elements in KSL gene promoters across 19 species. The color intensity corresponds to the abundance of specific cis-elements, with a gradient from lighter to darker red indicating increasing frequency.
Figure 3. Promoter cis-element composition analysis of 97 KSLs promoters. (A) Distribution of cis-regulatory elements within the promoter regions of KSL gene family members. A 2000 bp region upstream from the transcription start site (displayed in gray) was examined for each KSL promoter. Colored bars represent different categories of regulatory elements. (B) Heatmap representation of the frequency of cis-regulatory elements in KSL gene promoters across 19 species. The color intensity corresponds to the abundance of specific cis-elements, with a gradient from lighter to darker red indicating increasing frequency.
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Figure 4. Comparative collinearity analysis of KSL genes across monocotyledonous and dicotyledonous species. (A) Monocotyledonous plant species illustrating synteny blocks containing KSL genes. The chromosomes of barley, rice, wheat, and maize are depicted, with lines connecting orthologous KSL gene regions. (B) Dicotyledonous plant species demonstrating conserved genomic segments with KSL genes. The representations include tomato, potato, oilseed rape, and thale cress with lines showing homologous gene correspondences.
Figure 4. Comparative collinearity analysis of KSL genes across monocotyledonous and dicotyledonous species. (A) Monocotyledonous plant species illustrating synteny blocks containing KSL genes. The chromosomes of barley, rice, wheat, and maize are depicted, with lines connecting orthologous KSL gene regions. (B) Dicotyledonous plant species demonstrating conserved genomic segments with KSL genes. The representations include tomato, potato, oilseed rape, and thale cress with lines showing homologous gene correspondences.
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Figure 5. Tissue-specific expression of 9 KSL genes in rice. (A) Schematic illustration of the rice plant indicating the tissues sampled for gene expression analysis. (B–J) Relative expression analysis of 9 OsKSL genes in different tissues using qRT-PCR. RNA from various tissues (buds, leaf, panicle, sheath, root, and stem) of Nip (n = 3) was extracted. Three biological replications were performed. Bar graphs show means. Error bars represent ± SE (n = 3). OsUBQ6 was used as internal reference (Table S2) [32].
Figure 5. Tissue-specific expression of 9 KSL genes in rice. (A) Schematic illustration of the rice plant indicating the tissues sampled for gene expression analysis. (B–J) Relative expression analysis of 9 OsKSL genes in different tissues using qRT-PCR. RNA from various tissues (buds, leaf, panicle, sheath, root, and stem) of Nip (n = 3) was extracted. Three biological replications were performed. Bar graphs show means. Error bars represent ± SE (n = 3). OsUBQ6 was used as internal reference (Table S2) [32].
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Figure 6. Expression analysis of OsKSL genes under GA and PAC treatment in rice. (A) Morphological comparison of 5-day-old seedlings of Nipponbare (n = 20) subjected to 10 μM GA or 10 μM PAC treatment at various time points (0, 2, 4, and 6 days). The left column represents Nip seedlings grown under standard conditions (CK). The central and right columns display Nip seedlings treated with 10 μM GA and 10 μM PAC, respectively. Scale bars = 1 cm. (B) Growth kinetics showing the elongation of Nip seedlings over time following GA and PAC treatments as described in panel A. n = 20. (C–K) Expression analysis of KSL genes under 10 μM GA or 10 μM PAC treatment in rice seedlings. Aerial tissues were sampled at designated time points (0, 2, 4, and 6 d) (n = 4) for RNA isolation and subsequent qRT-PCR. Significance levels are indicated as follows: * p < 0.05 and ** p < 0.01 (Student’s t-test). Error bars represent ± SE (n = 3). OsUBQ6 was used as internal control (Table S2). Three biological replications were performed.
Figure 6. Expression analysis of OsKSL genes under GA and PAC treatment in rice. (A) Morphological comparison of 5-day-old seedlings of Nipponbare (n = 20) subjected to 10 μM GA or 10 μM PAC treatment at various time points (0, 2, 4, and 6 days). The left column represents Nip seedlings grown under standard conditions (CK). The central and right columns display Nip seedlings treated with 10 μM GA and 10 μM PAC, respectively. Scale bars = 1 cm. (B) Growth kinetics showing the elongation of Nip seedlings over time following GA and PAC treatments as described in panel A. n = 20. (C–K) Expression analysis of KSL genes under 10 μM GA or 10 μM PAC treatment in rice seedlings. Aerial tissues were sampled at designated time points (0, 2, 4, and 6 d) (n = 4) for RNA isolation and subsequent qRT-PCR. Significance levels are indicated as follows: * p < 0.05 and ** p < 0.01 (Student’s t-test). Error bars represent ± SE (n = 3). OsUBQ6 was used as internal control (Table S2). Three biological replications were performed.
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Figure 7. Expression profiles of OsKSL gene family in response to ABA treatment. Six-day-old seedlings were subjected to 50 μM ABA treatment. Aerial tissues were sampled at designated time points (0, 3, 6, and 12 h) (n = 4) for RNA isolation and subsequent qRT-PCR. * p < 0.05 and ** p < 0.01 (Student’s t-test). Error bars represent ± SE (n = 3). Three biological replications were performed. OsUBQ6 was used as internal control.
Figure 7. Expression profiles of OsKSL gene family in response to ABA treatment. Six-day-old seedlings were subjected to 50 μM ABA treatment. Aerial tissues were sampled at designated time points (0, 3, 6, and 12 h) (n = 4) for RNA isolation and subsequent qRT-PCR. * p < 0.05 and ** p < 0.01 (Student’s t-test). Error bars represent ± SE (n = 3). Three biological replications were performed. OsUBQ6 was used as internal control.
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Figure 8. Expression profiles of OsKSL gene family in response to submergence stress. Six-day-old seedlings were immersed in 1/5 Hoagland solution. Aerial tissues were collected at designated time points (0, 12, 24, 36, and 48 h post-submergence) (n = 4) for RNA isolation and subsequent qRT-PCR analysis. * p < 0.05 and ** p < 0.01 (Student’s t-test). Three biological replications were performed. Error bars represent ± SE (n = 3). OsUBQ6 was used as internal reference.
Figure 8. Expression profiles of OsKSL gene family in response to submergence stress. Six-day-old seedlings were immersed in 1/5 Hoagland solution. Aerial tissues were collected at designated time points (0, 12, 24, 36, and 48 h post-submergence) (n = 4) for RNA isolation and subsequent qRT-PCR analysis. * p < 0.05 and ** p < 0.01 (Student’s t-test). Three biological replications were performed. Error bars represent ± SE (n = 3). OsUBQ6 was used as internal reference.
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Table 1. The characteristics of 97 KSL family proteins.
Table 1. The characteristics of 97 KSL family proteins.
SpeciesProtein IDRenameNumber of Amino AcidsMW (Da)PI
Selaginella moellendorffiiXP_024539099.1SmKSL175486,571.796.45
XP_024525392.1SmKSL277288,726.376.49
XP_024539123.1SmKSL375286,068.16.23
XP_024525512.1SmKSL475886,811.876.06
Arabidopsis
thaliana		NP_178064.1AtKSL178589,622.175.65
NP_564772.1AtKSL2877101,895.316.12
Brassica
napus		XP_048592391.1BnKSL177989,030.615.25
XP_022560479.1BnKSL278189,085.625.4
XP_013718286.1BnKSL3872101,213.185.71
XP_013690843.2BnKSL4870101,147.985.79
Nicotiana
tabacum		XP_016473917.1NtKSL184194,993.355.98
XP_016507998.1NtKSL284795,694.95.66
XP_016497928.1NtKSL374786,923.715.65
XP_016485246.1NtKSL479791,793.035.58
XP_016506641.1NtKSL579791,831.185.78
XP_016453352.1NtKSL675387,080.295.49
XP_016495633.1NtKSL786398,863.66.02
XP_016493341.1NtKSL886598,910.156.43
Glycine
max		XP_006585394.1GmKSL183495,150.36.16
XP_040864136.1GmKSL283696,446.966.3
Phalaenopsis equestrisXP_020579527.1PeKSL179990,548.335.74
XP_020599757.1PeKSL284195,840.835.93
XP_020588364.1PeKSL3896101,568.456.25
XP_020576697.1PeKSL484597,840.566.26
Helianthus
annuus		XP_022027301.1HaKSL178690,239.115.8
XP_035840816.1HaKSL277488,384.535.15
XP_035840815.1HaKSL377288,103.095.22
XP_022018205.1HaKSL480391,637.345.32
XP_022017950.1HaKSL577488,098.235.03
XP_022042326.1HaKSL683196,102.285.61
Lactuca
sativa		XP_042756891.1LsKSL181892,809.355.62
XP_023729144.1LsKSL279490,505.715.75
XP_023752639.1LsKSL384397,936.555.74
Oryza
sativa		XP_015633583.1OsKSL184294,956.285.2
XP_015633664.1OsKSL281392,036.646.1
XP_025878382.1OsKSL381990,986.55.1
XP_025880472.1OsKSL476386,820.235.18
XP_015634420.1OsKSL581991,265.025.82
XP_015618915.1OsKSL681591,929.825.63
XP_015625948.1OsKSL782192,376.715.48
XP_015617512.1OsKSL882290,258.115.41
XP_015625944.1OsKSL983694,130.95.57
Zea
mays		NP_001169726.1ZmKSL184895,107.225.21
XP_023158035.1ZmKSL282892,497.136.38
NP_001146027.1ZmKSL380089,179.115.3
NP_001348116.1ZmKSL480290,809.896
NP_001348122.1ZmKSL584094,759.965.51
Arachis
hypogaea		XP_025610006.1AhKSL179991,257.365.68
XP_025672039.1AhKSL279991,234.325.72
Hordeum
vulgare		XP_044967658.1HvKSL185095,794.796.04
XP_044967650.1HvKSL275285,663.935.83
XP_044968830.1HvKSL377988,905.025.31
XP_044947960.1HvKSL484896,556.596.6
XP_044969121.1HvKSL583594,720.65.58
Pisum
sativum		XP_050917776.1PsKSL179890,970.915.92
XP_050902783.1PsKSL281193,694.937.29
XP_050903277.1PsKSL380593,346.486.62
Solanum lycopersicumNP_001307929.1SlKSL182092,593.646.02
NP_001234629.1SlKSL277890,819.416.62
XP_010324501.1SlKSL377190,420.536.24
XP_025888303.1SlKSL472685,054.026.43
NP_001289840.1SlKSL582195,168.796.55
Solanum tuberosumXP_006346019.1StKSL182693,374.766.57
XP_015170847.1StKSL277991,009.285.82
XP_015162412.1StKSL382995,979.356.45
Sorghum
bicolor		XP_021319614.1SbKSL180891,045.285.8
Vigna
radiata		XP_014499923.1VrKSL178689,825.195.84
XP_022639296.1VrKSL283695,775.885.96
Gossypium
hirsutum		NP_001314116.1GhKSL178089,076.645.9
XP_016701676.2GhKSL278088,961.546.07
XP_016698390.2GhKSL377188,182.815.13
XP_040949849.1GhKSL484796,284.195.35
XP_016698869.1GhKSL584996,891.95.39
Triticum
aestivum		XP_044325790.1TaKSL184695,122.976.4
XP_044333990.1TaKSL285295,793.996.62
XP_044458743.1TaKSL385295,841.856.43
XP_044460415.1TaKSL4950105,991.715.97
XP_044460359.1TaKSL581491,810.025.39
XP_044335649.1TaKSL677187,797.285.45
XP_044335648.1TaKSL786597,853.755.18
XP_044329066.1TaKSL886297,315.156.01
XP_044318592.1TaKSL986898,416.476.21
XP_044320364.1TaKSL1085796,689.596.4
XP_044325785.1TaKSL1185697,289.125.92
XP_044318496.1TaKSL12908101,745.395.61
XP_044335652.1TaKSL1377688,291.325.51
XP_044460363.1TaKSL1477688,189.195.66
XP_044318500.1TaKSL1576587,063.865.13
XP_044327332.1TaKSL1683795,184.836.2
XP_044452386.1TaKSL1783795,160.736.02
XP_044318934.1TaKSL1883595,125.685.84
XP_044318936.1TaKSL1983595,139.715.84
XP_044327331.1TaKSL2083794,852.075.4
XP_044452380.1TaKSL2183794,588.975.6
XP_044335422.1TaKSL2283994,704.175.53
XP_044452378.1TaKSL2383994,842.345.77
XP_044408678.1TaKSL2471681,002.535.12
Table 2. Distribution and subfamily classification of KSL proteins within the 19 plant species.
Table 2. Distribution and subfamily classification of KSL proteins within the 19 plant species.
SpeciesTotalGroup 1Group 2Group 3
3-13-23-33-4
Sm44-----
At2-1-1--
Bn4-2-2--
Pe4-1--3-
Nt8-242--
Sl5-131--
St3-111--
Ls3-1-2--
Ha6-1-5--
Gm2-1-1--
Ps3-2-1--
Vr2-1-1--
Ah2---2--
Gh5-3-2--
Os9-----9
Zm5-----5
Ta21-----21
Hv5-----5
Sb1-----1
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Teng, Y.; Wang, Y.; Zhang, Y.; Xie, Q.; Zeng, Q.; Cai, M.; Chen, T. Genome-Wide Identification and Expression Analysis of ent-kaurene synthase-like Gene Family Associated with Abiotic Stress in Rice. Int. J. Mol. Sci. 2024, 25, 5513. https://doi.org/10.3390/ijms25105513

AMA Style

Teng Y, Wang Y, Zhang Y, Xie Q, Zeng Q, Cai M, Chen T. Genome-Wide Identification and Expression Analysis of ent-kaurene synthase-like Gene Family Associated with Abiotic Stress in Rice. International Journal of Molecular Sciences. 2024; 25(10):5513. https://doi.org/10.3390/ijms25105513

Chicago/Turabian Style

Teng, Yantong, Yingwei Wang, Yutong Zhang, Qinyu Xie, Qinzong Zeng, Maohong Cai, and Tao Chen. 2024. "Genome-Wide Identification and Expression Analysis of ent-kaurene synthase-like Gene Family Associated with Abiotic Stress in Rice" International Journal of Molecular Sciences 25, no. 10: 5513. https://doi.org/10.3390/ijms25105513

APA Style

Teng, Y., Wang, Y., Zhang, Y., Xie, Q., Zeng, Q., Cai, M., & Chen, T. (2024). Genome-Wide Identification and Expression Analysis of ent-kaurene synthase-like Gene Family Associated with Abiotic Stress in Rice. International Journal of Molecular Sciences, 25(10), 5513. https://doi.org/10.3390/ijms25105513

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