Next Article in Journal
Cloning and Functional Study of AmGDSL1 in Agropyron mongolicum
Next Article in Special Issue
Identification of Shaker Potassium Channel Family Members and Functional Characterization of SsKAT1.1 in Stenotaphrum secundatum Suggest That SsKAT1.1 Contributes to Cold Resistance
Previous Article in Journal
Simplified Synthesis of Poly(ethyleneimine)-Modified Silica Particles and Their Application in Oligosaccharide Isolation Methods
Previous Article in Special Issue
Commonalities and Specificities in Wheat (Triticum aestivum L.) Responses to Aluminum Toxicity and Low Phosphorus Revealed by Transcriptomics and Targeted Metabolomics
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genome-Wide Identification of NAC Family Genes and Their Expression Analyses in Response to Osmotic Stress in Cannabis sativa L.

School of Agriculture, Yunnan University, Kunming 650500, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2024, 25(17), 9466; https://doi.org/10.3390/ijms25179466
Submission received: 6 August 2024 / Revised: 25 August 2024 / Accepted: 28 August 2024 / Published: 30 August 2024
(This article belongs to the Special Issue Advance in Plant Abiotic Stress)

Abstract

:
NAC (NAM, ATAF1/2, and CUC2) transcription factors are unique and essential for plant growth and development. Although the NAC gene family has been identified in a wide variety of plants, its chromosomal location and function in Cannabis sativa are still unknown. In this study, a total of 69 putative CsNACs were obtained, and chromosomal location analysis indicated that the CsNAC genes mapped unevenly to 10 chromosomes. Phylogenetic analyses showed that the 69 CsNACs could be divided into six subfamilies. Additionally, the CsNAC genes in group IV-a are specific to Cannabis sativa and contain a relatively large number of exons. Promoter analysis revealed that most CsNAC promoters contained cis-elements related to plant hormones, the light response, and abiotic stress. Furthermore, transcriptome expression profiling revealed that 24 CsNAC genes in two Cannabis sativa cultivars (YM1 and YM7) were significantly differentially expressed under osmotic stress, and these 12 genes presented differential expression patterns across different cultivars according to quantitative real-time PCR (RT–qPCR) analysis. Among these, the genes homologous to the CsNAC18, CsNAC24, and CsNAC61 genes have been proven to be involved in the response to abiotic stress and might be candidate genes for further exploration to determine their functions. The present study provides a comprehensive insight into the sequence characteristics, structural properties, evolutionary relationships, and expression patterns of NAC family genes under osmotic stress in Cannabis sativa and provides a basis for further functional characterization of CsNAC genes under osmotic stress to improve agricultural traits in Cannabis sativa.

1. Introduction

Cannabis sativa L. is an annual herb of the Cannabaceae family whose fibers can be used for the textile industry, paper production, and construction and whose seeds can be used in food [1]. Research has revealed that the inflorescences and leaves of Cannabis sativa are rich in cannabidiol (CBD), which has anti-epileptic, anti-anxiety, anti-inflammatory, and other medicinal values [2]. The versatility of this crop has attracted great attention from the public and from researchers in the development of the Cannabis sativa industry. Owing to the shortage of cultivated land resources, most Cannabis sativa plants are planted on saline–alkali lands, hillside lands, and winter fallow lands [3], making them susceptible to osmotic stress (drought, salt, low temperature, etc.), which significantly influences growth, especially the germination of Cannabis sativa seeds. To mitigate these effects caused by adverse environmental factors, it is necessary to explore and identify genetic resources related to osmotic stress resistance in Cannabis sativa.
Gene expression is largely regulated by specific transcription factors (TFs) that control the rate of transcription of genetic information from DNA to mRNA by binding to a specific DNA sequence. Sessile plants cope with a variety of abiotic and biotic stresses by means of a strong regulatory mechanism that is modulated through many TFs. Well-studied TFs in plants include MIKC, C2H2, WRKY, bZIP, MYB, SBP, HB, AP2/EREBP, and NAC [4]. Among these plant gene families, the NAC gene family is one of the largest and most characteristic [5,6].
The name of the NAC gene family was derived from the initial names of the NAM (no apical meristem), AF1/2, and CUC2 (cup-shaped cotyledon) transcription factors, which contain highly conserved domains. The NAC domain is composed of an N-terminal region of nearly 150 amino acid residues in length and consisting of five (A–E) subdomains and an alterable C-terminal domain, which is predicted to bind to DNA as a transcriptional activator or repressor and to confer the functional diversity of NAC proteins [7,8].
Many studies have shown that the response to various abiotic stresses, such as heat stress, low-temperature stress, drought stress, and saline–alkali stress, is directly or indirectly regulated by NAC TFs [9,10,11,12,13]. The overexpression of TaSNAC4-3A in wheat has been reported to stimulate germination and root growth when it is exposed to salt and osmotic stresses [14]. Ma et al. reported that TaNAC5D-2 is a positive regulator of drought tolerance in wheat and controls water loss under drought conditions through abscisic acid (ABA)-mediated stomatal closure [15]. ZmSNAC13 and ZmNAC071 in maize have been demonstrated to increase the effective photosynthesis rate and cell membrane stability under drought stress; additionally, they increase the sensitivity of transgenic Arabidopsis thaliana plants to ABA and osmotic stress [16,17]. The overexpression of OsNAC2 in rice results in lower resistance to high salt and drought conditions, contrary to the effect of the RNAi lines of OsNAC2 [18]. Jian et al. reported that the overexpression of SlNAC6 greatly increased the proline content and antioxidant enzyme activity so that it enhanced the tolerance of tomatoes to drought stress [19]. In Rosa chinensis, RcNAC27 was associated with the response to drought, low temperature, salt, and ABA treatments. In addition, the overexpression of RcNAC72 in Arabidopsis thaliana increased the sensitivity to ABA and tolerance to drought stress [20]. In Cucurbita moschata, CmNAC1 is involved in ABA signaling pathways, and the ectopic expression of CmNAC1 in Arabidopsis thaliana led to ABA hypersensitivity and increased tolerance to salinity, drought, and cold stresses [21]. The above studies have demonstrated that the NAC genes play important roles in plant responses to osmotic stresses such as drought and salt-alkali stress.
However, studies on the NAC genes have focused mainly on the model plant Arabidopsis thaliana, and there has been no systemic characterization of the NAC genes in Cannabis sativa. The number of NAC family members in Cannabis sativa, their related functions under osmotic stress, and their mode of action in different Cannabis sativa accessions have remained elusive. Therefore, in this study, multiple bioinformatics methods were used to identify the Cannabis sativa NAC gene family from the published genome of CBDRx female plants and comprehensive analyses, including gene structure, conserved motif, chromosomal location, and phylogenetic analyses, of the putative CsNACs were performed. The expression patterns of 12 potential stress-responsive NAC genes in two Cannabis sativa accessions during seed germination under osmotic stress were subsequently detected using qRT–PCR. The results provide a biological reference for future studies on the function of NAC genes and lay the foundation for the breeding of resistant varieties of Cannabis sativa.

2. Results

2.1. Genome-Wide Identification and Analysis of NAC Genes in Cannabis sativa

With respect to the Arabidopsis thaliana NAC family protein sequence, 69 CsNACs were detected with HMM. On the basis of chromosomal location, the CsNACs were named CsNAC1-CsNAC69 (Figure 1). Sixty-nine NAC-encoding genes were distributed unevenly on chromosomes 1 to 10 in Cannabis sativa. Chromosome 1 contained the greatest number of NAC genes (29.98%), followed by chromosomes 4, 8, and X (10.14%). In contrast, chromosome 3 contained only 4.34% of the NAC genes.
The sequence length of the CsNAC protein ranged from 136 aa to 860 aa, with the shortest sequence in CsNAC68 and the longest in CsNAC37, and with PI values ranging from 4.45 to 9.87, with the lowest value in CsNAC57, followed by CsNAC37, and the highest in CsNAC23. Furthermore, the MW ranged from 16.06 to 96.02 kDa, with a minimum of CsNAC4 and a maximum of CsNAC37 (Table 1).
Furthermore, we conducted restriction endonuclease digestion patterns analysis, and a total of 26 sites for common restriction endonucleases were identified (Figure 2). The result showed that 69 CsNAC genes had distinguishable patterns, indicating that there was no redundancy among the 69 predicted NAC genes.
To further understand the conservation and diversification of the 69 identified CsNAC proteins, the motif structures were predicted via the MEME program. The results revealed that 10 conserved motifs were distributed among various gene members (Figure 3C). The 10 different motifs identified in CsNAC were named motifs 1–10 (Figure 4). Among them, motifs 1, 3, 7, and 6 are present in all members of CsNAC genes. In addition, motifs 9 and 10 are only present in a small number of CsNAC genes. To further understand the structure of CsNAC genes, we analyzed their intron/exon composition (Figure 3B). The number of introns ranged from 1 to 12, and the number of exons ranged from 2 to 13, with CsNAC37 containing the largest number of introns and exons.
We predicted that approximately 97% of the CsNAC genes would be located in the nucleus, while a location in the endoplasmic reticulum (CsNAC66 and CsNAC67) was predicted for the other genes (Table S1).

2.2. Identification Duplicated CsNAC Genes

The potential mechanisms involved in the evolution of the NAC gene family in Cannabis sativa were further explicated by analyzing gene collinearity with the MCScanX tool of TBtools software v2.119. Only CsNAC56 and CsNAC25 were found to have segmental duplications (Figure 5A). These findings suggested that segmental duplications assisted in the expression of CsNAC genes in the Cannabis sativa genome and expanded the quantity of NAC genes and chromosome 10, primarily attributable to evolution.
To further analyze gene replication, the evolutionary relationship of NACs between Arabidopsis thaliana and Cannabis sativa was analyzed (Figure 5B), finding that of the 69 CsNAC genes, 22 had 34 pairs with collinearity with Arabidopsis thaliana. Half of the pairs were single pairs, while the other half had two or three pairs of NAC collinearities between Arabidopsis thaliana and Cannabis sativa.

2.3. Phylogeny of CsNAC Genes

To better analyze the phylogenetic organization of the Cannabis sativa NAC family, the predicted protein sequences were used to generate a phylogenetic tree, dividing the CsNAC genes into six major groups (I–VI) according to the classification of AtNAC. Among the 69 CsNACs, group VI accounted for the most proteins (47), followed by group IV (37). Furthermore, group IV includes 4 subgroups: IV-a is a subgroup unique to Cannabis sativa, and IV-b and IV-c are subgroups unique to Arabidopsis thaliana (Figure 6). Furthermore, CsNAC genes in the same group contained similar numbers of exons and introns, among which subgroup b had the larger number (Figure 3B). Additionally, some of the motifs were ubiquitous in all CsNAC genes. Some CsNAC genes in subgroup c specifically contained motif 9 and were clustered separately in subgroup IV-a in the phylogenetic tree (Figure 3C).

2.4. Cis-Element Analysis of the Promoter Regions of the CsNAC Genes

The upstream 2000 bp sequences of all 69 CsNACs were retrieved, and the PlantCARE tool was used to predict their cis-acting features. A number of cis-acting elements were identified with different roles, such as hormone responsiveness elements, MYB binding domains, low-temperature responsiveness elements, defense and stress-related factors, and light responsiveness elements (Figure 7). Interestingly, nearly all the promoters of CsNAC genes contained multiple cis-acting elements related to light response. Additionally, a large number of salicylic acid-related (3.55%), gibberellin-related (5.58%), abscisic acid-related (18.33%), and auxin-related (2.33%) cis-acting elements are found in the CsNACs promoters (Table S2).

2.5. Interaction Analysis of the CsNAC Proteins

With the STRING12.0 online tool, only CsNAC31, CsNAC69, CsNAC36, CsNAC53, CsNAC33, CsNAC51, and CsNAC63 strongly interacted with each other (Figure 8). This suggests that the PPI network of CsNACs might mediate signaling and process any biological and molecular functions through mutual interactions.

2.6. Transcriptome Sequencing of Cannabis sativa in Response to Osmotic Stress

To understand the transcription level of CsNAC in response to osmotic stress, transcriptome sequencing was performed on YM1 and YM7 seedlings that had germinated for 7 days under normal conditions and osmotic stress conditions. On average, each sample generated approximately 6.92 Gb of data, and the Q30 base percentage for each sample was not less than 95.23%. The reads of the sample were compared with the reference genome (GCF_900626175.2), and the comparison efficiency was between 86.68% and 90.69% (Table 2). After the alignment analysis was completed, StringTie was used to assemble and quantify the reads on the alignment and calculate the expression levels of genes in different samples. This showed that the CsNAC genes in YM1 and YM7 are differentially expressed under osmotic stress. Among the 69 CsNAC genes, the expression levels of 29 were obviously different in YM1 and 27 in YM7. Furthermore, 24 genes were differentially expressed in both YM1 and YM7 (Table 3). Other specific information on differentially expressed genes can be found in Tables S3 and S4.

2.7. Expression Analysis of CsNAC Genes in Response to Osmotic Stress

To better determine the expression patterns of these genes, 12 CsNAC genes with significant expression differences in the transcriptomes of YM1 and YM7 under osmotic stress were selected for analysis by means of qRT-PCR (Figure 9). The results revealed relatively higher expression levels of CsNAC01, CsNAC55, and CsNAC15 in YM1 under osmotic stress compared with normal conditions. The relative expression level of CsNAC01 increased on the 7th day of seed germination, on the 5th and 7th days of germination for CsNAC55, and on the 3rd to 9th days of seed germination for CsNAC15. Additionally, relatively greater expression was detected in CsNAC01, CsNAC15, CsNAC52, and CsNAC55 of YM7 under osmotic stress than under normal conditions. The relative expression level of CsNAC52 increased on the 3rd day of germination, from the 3rd to the 7th day of germination for CsNAC15 and CsNAC55, and from the 3rd to the 9th day of germination for CsNAC55. CsNAC15 and CsNAC61 in both Cannabis sativa accessions were induced by osmotic stress, and their relative expression levels gradually increased with germination time. However, the relative expression level of CsNAC55 first increased and then decreased with increasing germination time, but CsNAC52 first decreased but then increased with increasing germination time.

3. Discussion

3.1. Identification and Evolutionary Analysis of CsNAC Gene

NAC-type proteins, among the largest plant transcription factor family members, play important roles in many aspects of plant development processes, including the stress response, signaling pathways, and plant defenses. However, studies related to NAC genes in Cannabis sativa have not yet been reported. Therefore, we performed a genome-wide analysis of NAC transcription factors in the female plants of Cannabis sativa CBDRx-18 and explored the potential functions of homologous genes in YM1 and YM7 in coping with osmotic stress. Sixty-nine members of the CsNAC gene family were identified, significantly fewer than those of Arabidopsis thaliana (96) [22,23,24], rice (151) [25], soybean (151) [26], and maize (148) [27]. However, this is relatively more numerous than in some other crops, such as oilseed rape, with 60 [28]. These results suggest that the numbers of NAC genes do not match the genome size of the species, indicating that the NAC genes were stable during the process of evolution in different species. Additionally, genome duplication events occurred during the process of plant evolution, and the major duplication patterns were tandem and segmental duplication [29,30,31,32]. Although CsNAC56 and CsNAC25 were found to be segmental duplications, the main factors that drove the expansion of the CsNAC genes might not have been segmental duplications due to fewer duplication events. The analysis of gene structure revealed that the number of introns present in the CsNAC genes varied from 1 to 12, greater than that reported in soybean and cotton, in which the number of introns varied from 1 to 7 and 0 to 9, respectively [33,34]. These results suggest that the gene structure of the CsNAC genes is more diverse than that of the NAC genes in soybean and cotton. Furthermore, the exon–intron structure was similar in most of the CsNAC members that were present in the same group. In each group, close evolutionary relationships were supported by the conserved intron numbers [35]. A previous study reported similar results. The analysis of cis-elements in the promoter regions allowed the prediction of potential mechanisms of CsNAC gene regulation. The promoters of the CsNACs included defense and stress response elements (low-temperature and drought response elements), growth- and development-related elements (light response and auxin response elements), and hormone response elements (gibberellin, salicylic acid, and abscisic response elements), suggesting that the CsNAC genes are involved in the growth and development of Cannabis sativa and the process of coping with abiotic stress.
Phylogenetic analysis of the NAC gene family in Cannabis sativa and Arabidopsis thaliana showed that the CsNAC genes with similar motifs tend to cluster into one subgroup, and the differences were observed only in different subgroups, which might indicate functional similarity among gene members in the same subgroup [36]. For example, some genes, including ATAF1 (At1g01720), ANAC019 (At1g52890), and RD26/ANAC072 (At4g27410), which belong to Group V, can increase plant resistance to abiotic stresses such as drought and high temperature [37,38,39,40]. It could be speculated that those CsNAC genes of the same subgroup may also be involved in the response to stress. Additionally, among those in group IV-a, 10 member proteins were clustered in a single branch, and all were located on chromosome 1, implying that tandem duplication contributed to the expansion of the NAC genes. Furthermore, there were all CsNAC genes in group IV-a, suggesting that this group might have been unique to Cannabis sativa during its evolution. Most genes in this group had more introns and CDSs, and most had motifs 8 and 9, indicating that these genes might have more splicing patterns and might lead to diverse gene functionality.
Network interaction relationship analysis of 69 CsNAC proteins showed that 7 genes formed interaction proteins, but 62 genes could not form interaction relationships. This indicates that these proteins have important roles. Significantly, CsNAC69, which is located in the center of the interaction network, was homologous to NAC30 in maize; ZmNAC30 was found to be involved in stress responses and/or root growth and development [41]. In the future, it is worth further studying and verifying the role of this gene and NAC proteins interaction network in Cannabis sativa.

3.2. The Role of the CsNAC Genes in the Cannabis sativa Seed Germination Process under Osmotic Stress

According to the qRT-PCR results for the 12 CsNAC genes, compared with those of the CK, the relative expression of only 4–5 genes was obviously upregulated during either the early or late stage of osmotic stress, whereas the other genes were downregulated, indicating that osmotic stress might have an impact on the suppression of their expression. Moreover, there were differences in the expression of each gene between YM1 and YM7, but both were downregulated in the two cultivars. These results suggest that the expression of the CsNAC genes might be related to the cultivar. Compared with Arabidopsis thaliana, we found that CsNAC15 was homologous to ANAC050 (AT3G10480) and ANAC052 (AT3G10490), which participate in transcriptional repression and delayed flowering by binding to JMJ14 (histone H3K4 demethylase) [42]. CsNAC24 was homologous to JUB1 (At2g43000). Wu et al. reported that JUB1 overexpression in plants delayed Arabidopsis thaliana plant cell senescence and decreased intracellular H2O2 levels, increasing tolerance to abiotic stress, whereas, in JUB1 knockdown plants, precocious senescence and decreased abiotic stress tolerance were observed [43]. Moreover, a previous study reported that JUB1 increased tolerance to heat stress in Arabidopsis thaliana when it was overexpressed [44]. The overexpression of the CsNAC30 homologous gene LOV1 (AT2G02450) in switchgrass (Panicum virgatum) altered the lignin content and monolignol composition of the cell wall and delayed flowering [45]. CsNAC52 is homologous to NAP (AT1G69490), which plays a role in positively regulating age-dependent and dark-induced leaf senescence through the GA pathway [46]. CsNAC18 was homologous to NAM (AT1G52880) and NAC25 (At1g61110). NAM in upland cotton was negatively regulated by salt stress, drought stress, H2O2 stress, IAA treatment, and ethylene treatment but positively regulated by ABA and MeJA treatment. However, its heterologous overexpression results in premature leaf senescence and delayed root system development in Arabidopsis thaliana [47]. NAC25 was identified as a regulator of endosperm cell expansion controlling the seed-to-seedling transition [48]. CsNAC19 and CsNAC61 share high identity with NAC1 (At1g56010) and ORS1 (AT3G29035), respectively. Previous studies have shown that NAC1 maintains root meristem size and root growth by directly repressing the transcription of E2Fa in Arabidopsis thaliana [49] and that the overexpression of ORS1 accelerates senescence in Arabidopsis thaliana, whereas its inhibition delays senescence [50]. CsNAC01 was homologous to VND4 (AT1G12260) and VND5 (AT1G62700), which serve as transcriptional regulators that participate in secondary wall biosynthesis [51].
Genes in the same subgroup of a phylogenetic tree often have the same functional features. In this study, CsNAC18, CsNAC24, and CsNAC61 might participate in the response to abiotic stress because their homologous genes, which clustered in the same subgroup, have been previously identified as stress-response genes. The identification of several CsNAC genes in the present study provided clues for the selection of candidate genes for further studies.

4. Materials and Methods

4.1. Identification of NACs in the Cannabis sativa Genome

The draft genome of Cannabis sativa was downloaded from NCBI (GCF_900626175.2). For the identification of orthologs of NACs in Cannabis sativa, the NAC protein sequence of Arabidopsis thaliana was obtained from TAIR (http://www.arabidopsis.org/, accessed on 22 April 2022). BioEdit, was used to conduct BLAST analysis, in which NAC transcription factors exhibiting significant homology were identified, and redundancies were removed. All the candidate genes were subsequently verified using the hidden Markov model (PF02365) of the NAC gene domain by using the Pfam tool (http://pfam.xfam.org/search, accessed on 18 July 2022). ExPASy (http://cn.ExPASy.org/tools, accessed on 17 July 2022) was utilized to predict key physicochemical properties such as the isoelectric point (PI), molecular weight (MW), and other pertinent characteristics of the CsNAC protein. The restriction endonuclease digestion patterns of the 69 CsNACs were obtained from NovoPro (https://www.novopro.cn/tools/rest_map.html, accessed on 20 August 2024) and were visualized using TBtools.

4.2. Phylogenetic Analysis of CsNAC

The AtNAC protein sequences in Arabidopsis thaliana and the identified CsNAC in Cannabis sativa were aligned using MUSCLE. On the basis of the alignment results, MEGA X software was used to generate a phylogenetic tree with the Jones–Taylor–Thornton (JTT) model (bootstrap = 1000).

4.3. Chromosomal Location, Gene Structure and Motif Analysis of CsNACs

The chromosomal location information for the CsNAC family genes was obtained using the MG2C tool (http://mg2c.iask.in/mg2c_v2.1/, accessed on 19 July 2022). Motif analysis was performed with the MEME program (functional domains = 10). All figures were generated using the TBtools software v2.119.

4.4. Sub-Cellular Location of CsNAC

We predicted the sub-cellular localization of CsNAC genes by submitting their protein sequences to Cell-PLoc 2.0 (https://www.sohu.com/a/149196044_278730, accessed on 21 May 2024).

4.5. Cis-Regulatory Features in the Upstream Promoter Regions of CsNACs

To analyze the cis-acting features in the upstream promoter regions of the 69 putative CsNACs, a 2000 bp DNA sequence upstream of the CsNACs was retrieved from the genome data, and possible cis-acting elements were predicted using PlantCARE (http://bioin-formatics.psb.ugent.be/webtools/PlantCARE/html, accessed on 5 April 2023). TBtools software v2.119was used to generate graphical figures.

4.6. Protein-Protein Interaction Studies of CsNAC

To analyze the protein–protein interactions (PPIs), the STRING 12.0 database (http://string-db.org/, accessed on 5 April 2023) was employed, utilizing the default parameters and Arabidopsis thaliana as the reference organism.

4.7. RNA-Seq Analysis

4.7.1. Plant Materials

Two Cannabis sativa cultivars, ‘Yunma 1, YM1’ and ‘Yunma 7, YM7’, were used in this study. Two cultivars had with different tolerance to osmotic stress, and YM7 had higher resistance. Both cultivars were obtained from Yunnan Industrial Hemp Co., Ltd., Kunming, China. After sterilization with 70% alcohol, rinsing with distilled water, and drying, 30 seeds containing particles of consistent sizes were selected and placed evenly in 10 cm petri dishes that were sterilized and lined with filter paper. A petri dish supplemented with 8 mL of distilled water was used for the normal germination treatment, and 8 mL of 20% PEG-6000 was added for the osmotic stress treatment. Three replicates were performed for each treatment. After the seeds were grown in the dark for 3 d, they were transferred to a controlled plant growth chamber with a light duration of 12 h (20 °C) and a 12 h (25 °C) photoperiod for 4 d. Five germinated seedlings from each biological replicate were frozen in liquid nitrogen and stored at −80 °C.

4.7.2. RNA-Seq and Bioinformatics Analysis

RNA was extracted from the stored frozen samples strictly following the manufacturer’s instructions for the RNAprep Pure Plant Plus Kit (TIANGEN BIOTECH Co., Ltd., Beijing, China), after which cDNA libraries were constructed and sequenced on the Illumina sequencing platform by Biomarker Co., Ltd. (Beijing, China). The clean reads were mapped to the reference genome (GCF_900626175.2) using HISAT2 [52]. After the alignment analysis was completed, StringTie was used to assemble the aligned reads [53]. The maximum flow algorithm fragments per kilobase of transcript per million fragments mapped (FPKM) [54] was used as an indicator to measure transcript or gene expression levels. The differentially expressed genes (DEGs) between samples were identified with DESeq2 [55], and a fold change ≥1.5 and FDR < 0.05 were considered the thresholds.

4.8. qRT-PCR Analysis of CsNACs under Osmotic Stress

The real-time quantitative PCR (qRT-PCR) mixture was prepared using the MonAmpTM SYBR® Greeb qPCR Mix (Low Rox) Knit ((Monad Biotech Co., Ltd., Wuhan, China), and the reaction was performed on an Applied Biosystems QuantStudio 7 Flex real-time machine (Thermo Fisher Scientific Inc., Waltham, MA, USA) with three technical replicates for each biological replicate. The reaction system (20 µL) consisted of MonAmpTM SYBR® Green qPCR Mix (10 µL), forward and reverse primers (0.4 µL), cDNA (1 µL), and ddH2O (8.2 µL). The reaction conditions were as follows: 95 °C for 30 s; 40 cycles of 10 s at 95 °C and 30 s at 60 °C; and 15 s at 95 °C for the melting curve analysis. The qPCR results were calculated using the relative delta delta Ct (2–ΔΔCt) method (eIF4E was used as a reference gene). The primers used for qPCR are listed in Table S5.

4.9. Statistical Analysis

All the data collected were organized, and tables were drawn using Excel 2016. The Duncan method was employed for post hoc comparisons with different significance levels denoted by p < 0.05. Graphical presentation was carried out using OriginPro 2021 (9.8.0.200) software.

5. Conclusions

A complete chromosomal-based analysis of CsNAC genes from the Cannabis sativa genome identified 69 putative candidate genes classifiable into six groups and distributed over all 10 chromosomes. Gene structure, protein analysis, and phylogenetic analysis revealed that the CsNAC family was conserved during their evolution. Additionally, the similar structures and motif arrangements of the CsNAC proteins within the subfamilies further supported the classification predicted by the phylogenetic tree. Moreover, gene expression analysis revealed that the putative CsNACs involved in osmotic stress were differentially expressed between the two Cannabis sativa cultivars, suggesting their role in environmental and cultivar interactions. CsNAC18, CsNAC24, and CsNAC61 are similar to NAM (At1G52880), NAC25 (At1g61110), JUB1 (At2g43000), and ORS1 (At3G29035), respectively, and might be candidate genes for further exploration of their functions in regulating the growth and development of Cannabis sativa under osmotic stress. This study provides a comprehensive, high-quality chromosome-based identification of the NAC gene family in Cannabis sativa, facilitating further exploration of the molecular utility of CsNAC genes.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms25179466/s1.

Author Contributions

Q.L., H.Z. and Y.Y (Yulei Yang). carried out the laboratory experiments and analyzed the data. Y.Y. (Yang Yang) participated in data visualization. K.T. and W.O. revised the manuscript. G.D. designed the study and finalized the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (32160514) and the China Agriculture Research System of MOF and MARA (CARS-16-E15).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Genomic data were collected from the NCBI database (https://www.ncbi.nlm.nih.gov/, accessed on 1 April 2022). Cis-elements were obtained from the PlantCARE database (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/, accessed on 5 April 2023). Arabidopsis thaliana sequence information was downloaded from TAIR (https://www.arabidopsis.org/, accessed on 22 April 2022). Transcriptome data has been uploaded to the SRA database (project ID: PRJNA1149188). All databases in this study are available to the public.

Acknowledgments

We would like to sincerely thank Yunnan Industrial Hemp Co., Ltd. for providing the Cannabis sativa seeds for this study. We would like to acknowledge all researchers in our laboratory for their help.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Das, L.; Li, W.; Dodge, L.A.; Stevens, J.C.; Williams, D.W.; Hu, H.; Li, C.; Ray, A.E.; Shi, J. Comparative evaluation of industrial hemp cultivars: Agronomical practices, feedstock characterization, and potential for biofuels and bioproducts. ACS Sustain. Chem. Eng. 2020, 8, 6200–6210. [Google Scholar] [CrossRef]
  2. Boehnke, K.F.; Gagnier, J.J.; Matallana, L.; Willams, D.A. Substituting cannabidiol for opioids and pain medications among individuals with fibromyalgia: A large online survey. J. Pain 2021, 22, 1418–1428. [Google Scholar] [CrossRef] [PubMed]
  3. Hu, H.; Liu, H.; Du, G.; Yang, F.; Deng, G.; Yang, Y.; Liu, F. Fiber and seed type of hemp (Cannabis sativa L.) responded differently to salt-alkali stress in seedling growth and physiological indices. Ind. Crops Prod. 2019, 129, 624–630. [Google Scholar] [CrossRef]
  4. Jin, J.; Tian, F.; Yang, D.C.; Meng, Y.Q.; Kong, L.; Luo, J.; Gao, G. PlantTFDB 4.0: Toward a central hub for transcription factors and regulatory interactions in plants. Nucleic Acids Res. 2017, 45, D1040–D1045. [Google Scholar] [CrossRef]
  5. Aida, M.; Ishida, T.; Fukaki, H.; Fujisawa, H.; Tasaka, M. Genes involved in organ separation in Arabidopsis: An analysis of the cup-shaped cotyledon mutant. Plant Cell 1997, 9, 841–857. [Google Scholar] [CrossRef]
  6. Souer, E.; van Houwelingen, A.; Kloos, D.; Mol, J.; Koes, R. The no apical meristem gene of Petunia is required for pattern formation in embryos and flowers and is expressed at meristem and primordia boundaries. Cell 1996, 85, 159–170. [Google Scholar] [CrossRef] [PubMed]
  7. Chen, Q.; Wang, Q.; Xiong, L.; Lou, Z. A structural view of the conserved domain of rice stress-responsive NAC1. Protein Cell 2011, 2, 55–63. [Google Scholar] [CrossRef]
  8. Su, H.; Zhang, S.; Yin, Y.; Zhu, D.; Han, L. Genome-wide analysis of NAM-ATAF1, 2-CUC2 transcription factor family in Solanum lycopersicum. J. Plant Biochem. Biotechnol. 2015, 24, 176–183. [Google Scholar] [CrossRef]
  9. Nuruzzaman, M.; Sharoni, A.M.; Kikuchi, S. Roles of NAC transcription factors in the regulation of biotic and abiotic stress responses in plants. Front. Microbiol. 2013, 4, 248. [Google Scholar] [CrossRef]
  10. Shao, H.; Wang, H.; Tang, X. NAC transcription factors in plant multiple abiotic stress responses: Progress and prospects. Front. Plant Sci. 2015, 6, 902. [Google Scholar] [CrossRef]
  11. Singh, S.; Koyama, H.; Bhati, K.K.; Alok, A. The biotechnological importance of the plant-specific NAC transcription factor family in crop improvement. J. Plant Res. 2021, 134, 475–495. [Google Scholar] [CrossRef]
  12. Kim, H.J.; Nam, H.G.; Lim, P.O. Regulatory network of NAC transcription factors in leaf senescence. Curr. Opin. Plant Biol. 2016, 33, 48–56. [Google Scholar] [CrossRef] [PubMed]
  13. Takasaki, H.; Maruyama, K.; Takahashi, F.; Miki, F.; Takuya, Y.; Kazuo, N.; Fumiyoshi, M.; Kiminori, T.; Kazuko, Y.S.; Kazuo, S. SNAC-As, stress-responsive NAC transcription factors, mediate ABA-inducible leaf senescence. Plant J. 2015, 84, 1114–1123. [Google Scholar] [CrossRef] [PubMed]
  14. Mei, F.; Chen, B.; Li, F.; Zhang, Y.; Kang, Z.; Wang, X.; Mao, H. Overexpression of the wheat NAC transcription factor TaSNAC4-3A gene confers drought tolerance in transgenic Arabidopsis. Plant Physiol. Biochem. 2021, 160, 37–50. [Google Scholar] [CrossRef]
  15. Ma, J.; Tang, X.; Sun, B.; Wei, J.; Ma, L.; Yuan, M.; Zhang, D.; Shao, Y.; Li, C.; Chen, K.M. A NAC transcription factor, TaNAC5D-2, acts as a positive regulator of drought tolerance through regulating water loss in wheat (Triticum aestivum L.). Environ. Exp. Bot. 2022, 196, 104805. [Google Scholar] [CrossRef]
  16. Luo, P.; Chen, Y.; Rong, K.; Lu, Y.; Wang, N.; Xu, Z.; Pang, B.; Zhou, D.; Weng, J.; Li, M.; et al. ZmSNAC13, a maize NAC transcription factor conferring enhanced resistance to multiple abiotic stresses in transgenic Arabidopsis. Plant Physiol. Biochem. 2022, 170, 160–170. [Google Scholar] [CrossRef] [PubMed]
  17. He, L.; Bian, J.; Xu, J.; Yang, K. Novel maize NAC transcriptional repressor ZmNAC071 confers enhanced sensitivity to ABA and osmotic stress by downregulating stress-responsive genes in transgenic Arabidopsis. J. Agric. Food Chem. 2019, 67, 8905–8918. [Google Scholar] [CrossRef]
  18. Shen, J.; Lv, B.; Luo, L.; He, J.; Mao, H.; Xi, D.; Ming, F. The NAC-type transcription factor OsNAC2 regulates ABA-dependent genes and abiotic stress tolerance in rice. Sci. Rep. 2017, 7, 40641. [Google Scholar] [CrossRef]
  19. Jian, W.; Zheng, Y.; Yu, T.; Cao, H.; Li, Z. SlNAC6, A NAC transcription factor, is involved in drought stress response and reproductive process in tomato. J. Plant Physiol. 2021, 264, 153483. [Google Scholar] [CrossRef]
  20. Jia, X.; Zeng, Z.; Lyu, Y.; Zhao, S. Drought-responsive NAC transcription factor RcNAC72 is recognized by RcABF4, interacts with RcDREB2A to enhance drought tolerance in Arabidopsis. Int. J. Mol. Sci. 2022, 23, 1755. [Google Scholar] [CrossRef]
  21. Cao, H.; Wang, L.; Nawaz, M.A.; Niu, M.; Sun, J.; Xie, J.; Kong, Q.; Huang, Y.; Cheng, F.; Bie, Z. Ectopic expression of pumpkin NAC transcription factor CmNAC1 improves multiple abiotic stress tolerance in Arabidopsis. Front. Plant Sci. 2017, 8, 2052. [Google Scholar] [CrossRef]
  22. Xie, Q.; Frugis, G.; Colgan, D.; Chua, N. Arabidopsis NAC1 transduces auxin signal downstream of TIR1 to promote lateral root development. Genes Dev. 2000, 14, 3024–3036. [Google Scholar] [CrossRef] [PubMed]
  23. Olsen, A.N.; Eenst, H.A.; Leggio, L.L.; Skriver, K. NAC transcription factors: Structurally distinct, functionally diverse. Trends Plant Sci. 2005, 10, 79–87. [Google Scholar] [CrossRef]
  24. Ren, T.; Qu, F.; Morris, T.J. HRT gene function requires interaction between a NAC protein and viral capsid protein to confer resistance to turnip crinkle virus. Plant Cell 2000, 12, 1917–1925. [Google Scholar] [CrossRef] [PubMed]
  25. Nuruzzaman, M.; Manimekalai, R.; Sharoni, A.M.; Satoh, K.; Kondoh, H.; Ooka, H.; Kikuchi, S. Genome-wide analysis of NAC transcription factor family in rice. Gene 2010, 465, 30–44. [Google Scholar] [CrossRef] [PubMed]
  26. Le, D.T.; Nishiyama, R.; Watanabe, Y.; Mochida, K.; Yamaguchi-Shinozaki, K.; Shinozaki, K.; Tran, L.S.P. Genome-wide survey and expression analysis of the plant-specific NAC transcription factor family in soybean during development and dehydration stress. DNA Res. 2011, 18, 263–276. [Google Scholar] [CrossRef] [PubMed]
  27. Peng, X.; Zhao, Y.; Li, X.; Wu, M.; Chai, W.; Sheng, L.; Wang, Y.; Dong, Q.; Jiang, H.; Cheng, B. Genomewide identification, classification and analysis of NAC type gene family in maize. J. Genet. 2015, 94, 377–390. [Google Scholar] [CrossRef]
  28. Wang, B.; Guo, X.; Wang, C.; Ma, J.; Niu, F.; Zhang, H.; Yang, B.; Liang, W.; Han, F.; Jiang, Y.Q. Identification and characterization of plant-specific NAC gene family in canola (Brassica napus L.) reveal novel members involved in cell death. Plant Mol. Biol. 2015, 87, 395–411. [Google Scholar] [CrossRef]
  29. Kent, W.J.; Baertsch, R.; Hinrichs, A.; Miller, W.; Haussler, D. Evolution’s cauldron: Duplication, deletion, and rearrangement in the mouse and human genomes. Proc. Natl. Acad. Sci. USA 2003, 100, 11484–11489. [Google Scholar] [CrossRef]
  30. Kong, H.; Landherr, L.L.; Frohlich, M.W.; Leebens-Mack, J.; Ma, H.; de Pamphilis, C.W. Patterns of gene duplication in the plant SKP1 gene family in angiosperms: Evidence for multiple mechanisms of rapid gene birth. Plant J. 2007, 50, 873–885. [Google Scholar] [CrossRef]
  31. Mehan, M.R.; Freimer, N.B.; Ophoff, R.A. A genome-wide survey of segmental duplications that mediate common human genetic variation of chromosomal architecture. Hum. Genom. 2004, 1, 335. [Google Scholar] [CrossRef] [PubMed]
  32. Yu, L.; Fei, C.; Wang, D.; Huang, R.; Xuan, W.; Guo, C.; Jing, L.; Meng, W.; Yi, L.; Zhang, H.; et al. Genome-wide identification, evolution and expression profiles analysis of bHLH gene family in Castanea mollissima. Front. Genet. 2023, 14, 1193953. [Google Scholar] [CrossRef] [PubMed]
  33. Hussain, R.M.; Ali, M.; Feng, X.; Li, X. The essence of NAC gene family to the cultivation of drought-resistant soybean (Glycine max L. Merr.) cultivars. BMC Plant Biol. 2017, 17, 55. [Google Scholar] [CrossRef]
  34. Shang, H.; Li, W.; Zou, C.; Yuan, Y. Analyses of the NAC transcription factor gene family in Gossypium raimondii Ulbr.: Chromosomal location, structure, phylogeny, and expression patterns. J. Integr. Plant Biol. 2013, 55, 663–676. [Google Scholar] [CrossRef] [PubMed]
  35. Wu, Y.; Deng, Z.; Lai, J.; Zhang, Y.; Yang, C.; Yin, B.; Zhao, Q.; Zhang, L.; Li, Y.; Yang, C. Dual function of Arabidopsis ATAF1 in abiotic and biotic stress responses. Cell Res. 2009, 19, 1279–1290. [Google Scholar] [CrossRef]
  36. Rui, Z.; Pan, W.; Zhao, Q.; Hu, H.; Li, X.; Xing, L.; Jia, H.; She, K.; Nie, X. Genome-wide identification, evolution and expression analysis of NAC gene family under salt stress in wild emmer wheat (Triticum dicoccoides. L). Int. J. Biol. Macromol. 2023, 230, 123376. [Google Scholar] [CrossRef]
  37. Sukiran, N.L.; Ma, J.C.; Ma, H.; Su, Z. ANAC019 is required for recovery of reproductive development under drought stress in Arabidopsis. Plant Mol. Biol. 2019, 99, 161–174. [Google Scholar] [CrossRef]
  38. Jensen, M.K.; Kjaersgaard, T.; Nielsen, M.M.; Galberg, P.; Petersen, K.; O’Shea, C.; Skriver, K. The Arabidopsis thaliana NAC transcription factor family: Structure–function relationships and determinants of ANAC019 stress signalling. Biochem. J. 2010, 426, 183–196. [Google Scholar] [CrossRef]
  39. Ye, H.; Liu, S.; Tang, B.; Chen, J.; Xie, Z.; Nolan, T.M.; Jiang, H.; Guo, H.; Lin, H.Y.; Li, L.; et al. RD26 mediates crosstalk between drought and brassinosteroid signalling pathways. Nat. Commun. 2017, 8, 14573. [Google Scholar] [CrossRef]
  40. Ning, Y.Q.; Ma, Z.Y.; Huang, H.W.; Mo, H.; Zhao, T.T.; Li, L.; Cai, T.; Chen, S.; Ma, L.; He, X.J. Two novel NAC transcription factors regulate gene expression and flowering time by associating with the histone demethylase JMJ14. Nucleic Acids Res. 2015, 43, 1469–1484. [Google Scholar] [CrossRef]
  41. Zhang, Y.; Wu, X.; Wang, X.; Dai, M.; Peng, Y. Crop root system architecture in drought response. J. Genet. Genom. 2024. [Google Scholar] [CrossRef] [PubMed]
  42. Wu, A.; Allu, A.D.; Garapati, P.; Siddiqui, H.; Dortay, H.; Zanor, M.I.; Asensi-Fabado, M.A.; Munné-Bosch, S.; Antonio, C.; Tohge, T. JUNGBRUNNEN1, a reactive oxygen species–responsive NAC transcription factor, regulates longevity in Arabidopsis. Plant Cell 2012, 24, 482–506. [Google Scholar] [CrossRef] [PubMed]
  43. Shahnejat-Bushehri, S.; Mueller-Roeber, B.; Balazadeh, S. Arabidopsis NAC transcription factor JUNGBRUNNEN1 affects thermomemory-associated genes and enhances heat stress tolerance in primed and unprimed conditions. Plant Signal. Behav. 2012, 7, 1518–1521. [Google Scholar] [CrossRef] [PubMed]
  44. Xu, B.; Sathitsuksanoh, N.; Tang, Y.; Udvardi, M.K.; Zhang, J.Y.; Shen, Z.; Balota, M.; Harich, K.; Zhang, Y.H.; Zhao, B. Overexpression of AtLOV1 in switchgrass alters plant architecture, lignin content, and flowering time. PLoS ONE 2012, 7, e47399. [Google Scholar] [CrossRef] [PubMed]
  45. Lei, W.; Li, Y.; Yao, X.; Qiao, K.; Wei, L.; Liu, B.; Zhang, D.; Lin, H. NAP is involved in GA-mediated chlorophyll degradation and leaf senescence by interacting with DELLAs in Arabidopsis. Plant Cell Rep. 2020, 39, 75–87. [Google Scholar] [CrossRef]
  46. Wang, C.; Li, T.; Liu, Q.; Li, L.; Feng, Z.; Yu, S. Characterization and functional analysis of GhNAC82, a NAM domain gene, coordinates the leaf senescence in upland cotton (Gossypium hirsutum L.). Plants 2022, 11, 1491. [Google Scholar] [CrossRef]
  47. Sáanhez Montesino, R.; Bouza Morcillo, L.; Marquez, J.; Ghita, M.; Duran-Nebreda, S.; Gomez, L.; Holdsworth, M.J.; Bassel, G.; Onate-Sanchez, L. A regulatory module controlling GA-mediated endosperm cell expansion is critical for seed germination in Arabidopsis. Mol. Plant 2019, 12, 71–85. [Google Scholar] [CrossRef]
  48. Xie, C.; Ding, Z. NAC1 maintains root meristem activity by repressing the transcription of E2Fa in Arabidopsis. Int. J. Mol. Sci. 2022, 23, 12258. [Google Scholar] [CrossRef]
  49. Balazadeh, S.; Kwashiewski, M.; Caldana, C.; Mehrnia, M.; Zanor, M.I.; Xue, G.P.; Mueller-Roeber, B. ORS1, an H2O2-responsive NAC transcription factor, controls senescence in Arabidopsis thaliana. Mol. Plant 2011, 4, 346–360. [Google Scholar] [CrossRef]
  50. Zhou, J.; Zhong, R.; Ye, Z.H. Arabidopsis NAC domain proteins, VND1 to VND5, are transcriptional regulators of secondary wall biosynthesis in vessels. PLoS ONE 2014, 9, e105726. [Google Scholar] [CrossRef]
  51. Tan, T.T.; Endo, H.; Sano, R.; Kurata, T.; Yamaguchi, M.; Ohtani, M.; Demura, T. Transcription factors VND1-VND3 contribute to cotyledon xylem vessel formation. Plant Physiol. 2018, 176, 773–789. [Google Scholar] [CrossRef] [PubMed]
  52. Kim, D.; Langmead, B.; Salzberg, S.L. HISAT: A fast spliced aligner with low memory requirements. Nat. Methods 2015, 12, 357–360. [Google Scholar] [CrossRef] [PubMed]
  53. Pertea, M.; Pertea, G.M.; Aatonesce, C.M.; Chang, T.C.; Mendell, J.T.; Salzberg, S.L. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat. Biotechnol. 2015, 33, 290–295. [Google Scholar] [CrossRef] [PubMed]
  54. Florea, L.; Song, L.; Salzberg, S.L. Thousands of exon skipping events differentiate among splicing patterns in sixteen human tissues. F1000Research 2013, 2, 188. [Google Scholar] [CrossRef]
  55. Love, M.I.; Huber, W.; Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014, 15, 550. [Google Scholar] [CrossRef]
Figure 1. Physical mapping of CsNAC genes in the Cannabis sativa genome. The ten Cannabis sativa chromosomes are numbered from Chr1 to ChrX. CsNAC genes are numbered consecutively on the basis of their position on the chromosomes (CsNAC01-CsNAC69). The scale bar on the left shows the chromosome length in megabases (Mb).
Figure 1. Physical mapping of CsNAC genes in the Cannabis sativa genome. The ten Cannabis sativa chromosomes are numbered from Chr1 to ChrX. CsNAC genes are numbered consecutively on the basis of their position on the chromosomes (CsNAC01-CsNAC69). The scale bar on the left shows the chromosome length in megabases (Mb).
Ijms 25 09466 g001
Figure 2. Restriction enzyme analysis patterns of CsNAC genes.
Figure 2. Restriction enzyme analysis patterns of CsNAC genes.
Ijms 25 09466 g002
Figure 3. The phylogenetic tree (A) and the conservation motifs (C) of the CsNAC genes. UTRs, exons, and introns are represented by green boxes, yellow boxes, and black lines, respectively (B).
Figure 3. The phylogenetic tree (A) and the conservation motifs (C) of the CsNAC genes. UTRs, exons, and introns are represented by green boxes, yellow boxes, and black lines, respectively (B).
Ijms 25 09466 g003
Figure 4. Conserved motif of CsNAC proteins.
Figure 4. Conserved motif of CsNAC proteins.
Ijms 25 09466 g004
Figure 5. Interchromosomal relationships of CsNAC genes (A). Each plate represents Cannabis sativa chromosomes, GC content, density, and clustering heatmaps from the inside to the outside. Synteny analyses between Cannabis sativa and Arabidopsis thaliana (B). The gray lines in the background indicate collinear blocks within Cannabis sativa and Arabidopsis thaliana.
Figure 5. Interchromosomal relationships of CsNAC genes (A). Each plate represents Cannabis sativa chromosomes, GC content, density, and clustering heatmaps from the inside to the outside. Synteny analyses between Cannabis sativa and Arabidopsis thaliana (B). The gray lines in the background indicate collinear blocks within Cannabis sativa and Arabidopsis thaliana.
Ijms 25 09466 g005
Figure 6. Evolutionary analysis of Cannabis sativa NAC genes. Each NAC subfamily is indicated with a specific color.
Figure 6. Evolutionary analysis of Cannabis sativa NAC genes. Each NAC subfamily is indicated with a specific color.
Ijms 25 09466 g006
Figure 7. Putative cis-acting regulatory elements in the promoters of CsNAC genes. The number on nodes is the bootstrap value of each node.
Figure 7. Putative cis-acting regulatory elements in the promoters of CsNAC genes. The number on nodes is the bootstrap value of each node.
Ijms 25 09466 g007
Figure 8. Protein–protein interactions of CsNACs visualized using the STRING 12.0 online tool with Arabidopsis thaliana as the reference genome.
Figure 8. Protein–protein interactions of CsNACs visualized using the STRING 12.0 online tool with Arabidopsis thaliana as the reference genome.
Ijms 25 09466 g008
Figure 9. Relative expression of CsNAC genes in two different Cannabis sativa cultivars (Y1 is YM1 and Y7 is YM7) under normal germination treatment (CK) and osmotic stress treatment (OS). Seedlings were sampled at 3, 5, 7, and 9 days after germination. The different letters indicate significant differences at different times, according to Duncan’s multiple range test (p < 0.05).
Figure 9. Relative expression of CsNAC genes in two different Cannabis sativa cultivars (Y1 is YM1 and Y7 is YM7) under normal germination treatment (CK) and osmotic stress treatment (OS). Seedlings were sampled at 3, 5, 7, and 9 days after germination. The different letters indicate significant differences at different times, according to Duncan’s multiple range test (p < 0.05).
Ijms 25 09466 g009
Table 1. Information on the NAC gene family members in Cannabis sativa.
Table 1. Information on the NAC gene family members in Cannabis sativa.
Gene SymbolGene IDPeptide LengthChromosome
Number
Isoelectric PointMolecular Weight
(KDa)
CsNAC01LOC115704795417Chr16.1548.27
CsNAC02LOC115706643368Chr14.8842.34
CsNAC03LOC115704045355Chr15.1340.05
CsNAC04LOC115704046139Chr15.4916.06
CsNAC05LOC115707050296Chr15.4734.45
CsNAC06LOC115708284508Chr15.3856.52
CsNAC07LOC115708285496Chr15.2655.96
CsNAC08LOC115708331353Chr15.7840.64
CsNAC09LOC115706598297Chr15.3034.47
CsNAC10LOC115704050478Chr15.6053.15
CsNAC11LOC115708192498Chr15.1556.17
CsNAC12LOC115704732353Chr15.5740.80
CsNAC13LOC115704782378Chr18.8442.51
CsNAC14LOC115705946380Chr18.8442.69
CsNAC15LOC115706009498Chr16.0255.09
CsNAC16LOC115706004588Chr14.5465.40
CsNAC17LOC115706266352Chr18.5039.49
CsNAC18LOC115706270393Chr17.3143.35
CsNAC19LOC115706318413Chr17.2346.34
CsNAC20LOC115708111419Chr15.8147.31
CsNAC21LOC115718596380Chr26.6842.94
CsNAC22LOC115718718248Chr26.8628.73
CsNAC23LOC115718524205Chr29.8723.60
CsNAC24LOC115710269333Chr36.5739.24
CsNAC25LOC115710199235Chr39.0627.15
CsNAC26LOC115709772368Chr39.0041.39
CsNAC27LOC115708730295Chr37.1834.27
CsNAC28LOC115712266267Chr45.2230.86
CsNAC29LOC115713726295Chr46.0833.99
CsNAC30LOC115714610433Chr46.8148.79
CsNAC31LOC115713981350Chr44.7639.01
CsNAC32LOC115712846265Chr49.4330.31
CsNAC33LOC115712070422Chr46.3149.01
CsNAC34LOC115712883285Chr45.6332.92
CsNAC35LOC115716209511Chr54.9858.08
CsNAC36LOC115715739364Chr56.3041.75
CsNAC37LOC115715736860Chr54.5096.02
CsNAC38LOC115715828329Chr55.2837.09
CsNAC39LOC115717256487Chr56.3555.32
CsNAC40LOC115725272322Chr64.5037.95
CsNAC41LOC115725395325Chr64.5138.22
CsNAC42LOC115725039338Chr64.5139.68
CsNAC43LOC115694863214Chr65.2725.28
CsNAC44LOC115694873289Chr65.4033.73
CsNAC45LOC115725662206Chr65.0323.81
CsNAC46LOC115697858381Chr78.9743.12
CsNAC47LOC115697141392Chr77.2043.33
CsNAC48LOC115696687359Chr77.7441.40
CsNAC49LOC115696790249Chr78.7029.41
CsNAC50LOC115698713459Chr86.4351.65
CsNAC51LOC115698928287Chr87.0932.60
CsNAC52LOC115701358284Chr86.9632.57
CsNAC53LOC115698755254Chr89.5329.21
CsNAC54LOC115698787389Chr86.0944.69
CsNAC55LOC115700780188Chr89.2421.72
CsNAC56LOC115701489343Chr87.2039.82
CsNAC57LOC115721938314Chr94.4536.72
CsNAC58LOC115723181457Chr96.8452.16
CsNAC59LOC115723676323Chr99.6137.64
CsNAC60LOC115721797738Chr95.5683.83
CsNAC61LOC115724173382Chr96.2043.78
CsNAC62LOC115723252419Chr98.2448.33
CsNAC63LOC115703936293ChrX6.9233.77
CsNAC64LOC115709817287ChrX6.3332.83
CsNAC65LOC115711844418ChrX7.2146.82
CsNAC66LOC115712310637ChrX4.5472.14
CsNAC67LOC115712323635ChrX4.6671.94
CsNAC68LOC115696969136ChrX9.7916.09
CsNAC69LOC115702348382ChrX6.4144.06
Table 2. Basic transcriptome data of Cannabis sativa cultivars ‘YM1’ and ‘YM7’.
Table 2. Basic transcriptome data of Cannabis sativa cultivars ‘YM1’ and ‘YM7’.
SamplesClean Bases% ≥ Q30Mapped Reads
YM1-CK16,670,487,8640.957139,785,426 (89.23%)
YM1-CK26,749,721,0640.955440,343,097 (89.44%)
YM1-CK36,489,204,4120.955239,105,425 (90.16%)
YM1-T17,085,565,0940.953842,580,022 (89.92%)
YM1-T26,935,724,3520.957441,715,006 (90.00%)
YM1-T36,887,479,1720.953241,339,511 (89.81%)
YM7-CK16,902,265,1360.955339,989,676 (86.68%)
YM7-CK27,571,531,1000.956644,674,940 (88.27%)
YM7-CK36,326,231,9560.957437,321,714 (88.28%)
YM7-T16,491,325,7060.952339,158,112 (90.27%)
YM7-T27,173,656,6420.958043,483,607 (90.69%)
YM7-T37,793,387,5940.955746,930,775 (90.11%)
‘CK’ and ‘T’ represent the normal germination treatment and osmotic stress treatment, respectively.
Table 3. Differential expression of CsNAC genes in Cannabis sativa cultivars ‘YM1’ and ‘YM7’ under osmotic stress.
Table 3. Differential expression of CsNAC genes in Cannabis sativa cultivars ‘YM1’ and ‘YM7’ under osmotic stress.
YM1YM7
GeneGene IDRegulatedFDR ValueGeneGene IDRegulatedFDR Value
CsNAC54LOC115698787down7.38 × 10−5CsNAC54LOC115698787down4.80 × 10−3
CsNAC55LOC115700780up2.50 × 10−2CsNAC55LOC115700780up1.66 × 10−18
CsNAC52LOC115701358down3.25 × 10−9CsNAC52LOC115701358down7.67 × 10−5
CsNAC63LOC115703936down2.81 × 10−4CsNAC63LOC115703936down5.77 × 10−3
CsNAC03LOC115704045down8.64 × 10−5CsNAC03LOC115704045down1.26 × 10−4
CsNAC01LOC115704795up4.27 × 10−6CsNAC01LOC115704795up3.22 × 10−4
CsNAC16LOC115706004down3.60 × 10−6CsNAC16LOC115706004down7.28 × 10−4
CsNAC15LOC115706009up9.94 × 10−17CsNAC15LOC115706009up5.19 × 10−13
CsNAC17LOC115706266down4.25 × 10−6CsNAC17LOC115706266down1.30 × 10−3
CsNAC18LOC115706270down5.47 × 10−14CsNAC18LOC115706270down1.40 × 10−19
CsNAC19LOC115706318down2.48 × 10−60CsNAC19LOC115706318down1.16 × 10−16
CsNAC09LOC115706598down5.82 × 10−25CsNAC09LOC115706598down5.34 × 10−6
CsNAC05LOC115707050down2.65 × 10−10CsNAC05LOC115707050down4.76 × 10−2
CsNAC26LOC115709772down4.70 × 10−10CsNAC26LOC115709772down1.60 × 10−3
CsNAC24LOC115710269down1.03 × 10−4CsNAC24LOC115710269down2.20 × 10−2
CsNAC66LOC115712310down1.00 × 10−6CsNAC66LOC115712310down6.81 × 10−8
CsNAC67LOC115712323down3.57 × 10−3CsNAC67LOC115712323down1.43 × 10−4
CsNAC32LOC115712846down4.22 × 10−16CsNAC32LOC115712846down1.90 × 10−14
CsNAC34LOC115712883down1.50 × 10−11CsNAC34LOC115712883down2.59 × 10−5
CsNAC29LOC115713726down4.08 × 10−20CsNAC29LOC115713726down1.67 × 10−5
CsNAC30LOC115714610down8.91 × 10−6CsNAC30LOC115714610down6.62 × 10−9
CsNAC62LOC115723252down1.93 × 10−25CsNAC62LOC115723252down5.94 × 10−6
CsNAC61LOC115724173down3.45 × 10−8CsNAC61LOC115724173down5.00 × 10−4
CsNAC45LOC115725662down1.67 × 10−3CsNAC45LOC115725662down8.44 × 10−4
CsNAC46LOC115697858up1.40 × 10−2CsNAC13LOC115704782down5.05 × 10−8
CsNAC51LOC115698928up4.59 × 10−3CsNAC02LOC115706643up3.50 × 10−2
CsNAC37LOC115715736up2.08 × 10−4CsNAC20LOC115708111down1.53 × 10−9
CsNAC38LOC115715828down1.37 × 10−5
CsNAC21LOC115718596up2.57 × 10−6
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Li, Q.; Zhang, H.; Yang, Y.; Tang, K.; Yang, Y.; Ouyang, W.; Du, G. Genome-Wide Identification of NAC Family Genes and Their Expression Analyses in Response to Osmotic Stress in Cannabis sativa L. Int. J. Mol. Sci. 2024, 25, 9466. https://doi.org/10.3390/ijms25179466

AMA Style

Li Q, Zhang H, Yang Y, Tang K, Yang Y, Ouyang W, Du G. Genome-Wide Identification of NAC Family Genes and Their Expression Analyses in Response to Osmotic Stress in Cannabis sativa L. International Journal of Molecular Sciences. 2024; 25(17):9466. https://doi.org/10.3390/ijms25179466

Chicago/Turabian Style

Li, Qi, Hanxue Zhang, Yulei Yang, Kailei Tang, Yang Yang, Wenjing Ouyang, and Guanghui Du. 2024. "Genome-Wide Identification of NAC Family Genes and Their Expression Analyses in Response to Osmotic Stress in Cannabis sativa L." International Journal of Molecular Sciences 25, no. 17: 9466. https://doi.org/10.3390/ijms25179466

APA Style

Li, Q., Zhang, H., Yang, Y., Tang, K., Yang, Y., Ouyang, W., & Du, G. (2024). Genome-Wide Identification of NAC Family Genes and Their Expression Analyses in Response to Osmotic Stress in Cannabis sativa L. International Journal of Molecular Sciences, 25(17), 9466. https://doi.org/10.3390/ijms25179466

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

Article Metrics

Back to TopTop