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Article

The Complete Genome Sequence, Molecular Detection, and Anatomical Analysis of Hibiscus Chlorotic Ringspot Virus Infecting Hibiscus rosa-sinensis in Peninsular Malaysia

by
Mohd Shakir Mohamad Yusop
1,
Normawati Lanisa
2,
Noraini Talip
2,
Mohd Faiz Mat Saad
1,
Azlan Abas
3,
Murni Nazira Sarian
1,
Hamizah Shahirah Hamezah
1,
Sarahani Harun
1 and
Hamidun Bunawan
1,*
1
Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM, Bangi 43600, Selangor, Malaysia
2
Department of Biotechnology and Biological Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM, Bangi 43600, Selangor, Malaysia
3
Center for Research in Development, Social and Environment (SEEDS), Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, UKM, Bangi 43600, Selangor, Malaysia
*
Author to whom correspondence should be addressed.
Horticulturae 2023, 9(5), 569; https://doi.org/10.3390/horticulturae9050569
Submission received: 16 March 2023 / Revised: 17 April 2023 / Accepted: 30 April 2023 / Published: 11 May 2023
(This article belongs to the Special Issue Horticultural Plants Pathology and Advances in Disease Management)

Abstract

:
Hibiscus rosa-sinensis is the national flower of Malaysia and is widely cultivated as landscape planting across the nation. In 1995, Hibiscus chlorotic ringspot virus (HCRSV) was reported for the first time in Malaysia. Until today, there have been no follow-up studies on the viral infection in the plant, yet the virus symptom of chlorotic spots has been observed throughout the Hibiscus population. Therefore, this study aimed to report the complete genome sequence of the HCRSV, validate a molecular detection tool for its diagnosis, and measure the impact of the virus symptom and infection in H. rosa-sinensis. This study reported the complete genome of the HCRSV through RNA sequencing. The phylogenetic analysis of the HCRSV isolated from different geographical sources and several other related viruses was performed to confirm its identity and classification. Additionally, primers based on the genome sequence were designed and used for RT-PCR to detect the presence of the virus in symptomatic leaves, further confirming the HCRSV identity and presence. Meanwhile, the impact of the virus was measured by examining the anatomical and morphological changes in the leaf structure of symptomatic samples. Light microscopy and scanning electron microscopy were used to examine potential adaptations and comparisons between the leaf structures of healthy and infected samples, especially in the leaf lamina, petiole, and midrib cells. The results confirmed the complete genome sequence of the HCRSV, its molecular detection strategy, and the impact of the viral infection on Hibiscus leaves in Peninsular Malaysia. This study is beneficial for the management strategy of the virus and for protecting an important plant in the nation.

1. Introduction

Hibiscus rosa-sinensis L. is a malvaceous perennial shrub that has been cultivated as ornamentals in different countries across multiple regions, such as Malaysia, Singapore, India, China, Hawaii, Brazil, Iran, and Nigeria [1,2,3,4,5,6,7]. H. rosa-sinensis is susceptible to plant viruses including Hibiscus chlorotic ringspot virus (HCRSV), Hibiscus latent Singapore virus (HLSV), Hibiscus latent ringspot virus (HLRSV), Hibiscus latent Fort Pierce virus (HLFPV), and Hibiscus green spot virus (HGSV) [8,9,10,11,12]. In addition, viruses could develop symptoms that reduce the ornate value of H. rosa-sinensis [13,14]. One of the most prevalent viruses found throughout the global population of H. rosa-sinensis is the HCRSV [15,16].
HCRSV is a positive-sense, single-stranded RNA virus that belongs to the family Tombusviridae (genus: Betacarmovirus) with an isometric monopartite virus structure of 28 nm in diameter [15,17]. The occurrence of the HCRSV in H. rosa-sinensis was first identified in the cultivars exported from El Salvador into the United States of America [12]. Since then, the virus has been identified in H. rosa-sinensis cultivated throughout the globe [6,7,15,16,18,19,20,21,22,23]. A distinct characteristic of the HCRSV is that the virus can encode a total of seven open reading frames (ORFs): the typical five of a Carmovirus, in addition to two novel ORFs, namely, ORF (p23) and ORF (p25) [15,24]. Figure 1 shows the schematic representation of the genome and encoded proteins. The HCRSV genomic RNA (gRNA) contains around 3900 nucleotides (nt) with a t-RNA-like structure at the 3′ terminal. Closest to the 5′ terminal, the ORF (p28) encodes a product with an apparent molecular mass of 28 kDa. ORF (p81) is the product of the readthrough of ORF (p28). ORF (p8) and ORF (p9) are in the centre of the genome and overlap each other. Near the 3′ terminal, ORF (p38) is present. The two novel ORFs, ORF (p23) and ORF (p25) are within ORF (p28) and ORF (p38), respectively [15,24].
The products encoded from ORF (p28) and the readthrough ORF (p81) are putatively the subunits of viral replicase, while the p8 and p9 proteins—encoded from ORF (p8) and ORF (p9), respectively—are required for virus movement [15]. The p23 protein encoded from ORF (p23) is essential for host-specific replication [25]. Interestingly, ORF (p25) has the potential to encode three protein isoforms—namely, p27, p25, and p22.5 proteins—where all of these play a role in symptom expression and virus movement throughout the host [24]. ORF (p38) was found to encode viral coat protein (CP), which is important for encapsidation and systemic movement of the virus [15,26]. The CP of the HCRSV is vital for long-distance cell-to-cell movement and post-transcriptional gene silencing in host plants [27,28].
The common symptoms of host plants infected with the HCRSV include leaf mottling, chlorotic spots, vein banding patterns, and stunted growth [12,15]. The HCRSV was found to infect Malaysian H. rosa-sinensis more than two decades ago [18]. To our knowledge, no further research has been done on the HCRSV in Malaysia, including on the virus’s complete nucleotide sequence of the Malaysian isolate.
This study examined the infection of the HCRSV and its impact on the host, namely, H. rosa-sinensis. Hence, three things are reported here: (1) the complete nucleotide sequence and genome structure of the Malaysian isolate of the HCRSV, (2) the detection strategy used to identify the viral presence, and (3) the anatomical and morphological changes in the leaves of H. rosa-sinensis exhibiting the chlorotic spots symptom caused by the HCRSV.

2. Materials and Methods

2.1. Plant Material

Surveys on the H. rosa-sinensis landscape plants were done to examine the presence of the chlorotic spots symptom associated with a viral infection. Symptomatic leaves were collected from different individual plants with similar positions based on height and size (the leaves from one individual plant were considered as one sample) [29]. A total number of 31 symptomatic samples were collected from different H. rosa-sinensis populations across five regions in Malaysia: the states of Selangor, Negeri Sembilan, Perak, Pahang, and the Federal Territory of Putrajaya. The samples were taken fresh and maintained in an icebox for transportation before being kept at −80 °C. Table 1 records the quantity of the collected samples and their locations.

2.2. RNA Extraction

The total RNA was extracted from the symptomatic samples using the QIAGEN RNeasy Plant Mini Kit (QIAGEN, Hilden, Germany) according to the manufacturer’s protocol. The samples were then analysed on a Nanodrop instrument and kept at −80 °C before further use.

2.3. RNA Sequencing

The RNA extract was pooled and sent for sequencing using Illumina HiSeq 2500 platform (1st BASE Sequencing Malaysia, Selangor, Malaysia). The RNA samples were subjected to library preparation at the 1st BASE Sequencing Facility using the TruSeq-stranded Total RNA sample preparation Ribo-Zero plant kit (Illumina) with quality control. Then, the samples were run on the HiSeq 2500 platform with a TruSeq SBS version 4 kit (Illumina, Universiti Kebangsaan Malaysia, Selangor, Malaysia) with 150 cycles of paired-end reads. The data were then used for de novo assembly through Trinity 2.8.4 with default settings [30]. Finally, megaBLAST analysis against the NCBI database was performed on the assembled transcripts to identify any contigs with high sequence similarity.

2.4. Computational and Phylogenetic Analysis

The contig was then further analysed through online resources, including NCBI-ORF Finder and Expasy. The contig was also used with other genome sequences as the input for a similarity plot made with SimPlot software. SimPlot is generally used to plot the percentage identity of the input sequences to a reference sequence [31].
Identity and similarity percentages, multiple sequence alignment, and phylogenetic determination were performed using MEGA software with its built-in functions [32,33]. Complete sequences for the relevant viruses within their genus were acquired through the BLASTn function in MEGA X. The complete genome sequences within the Betacarmovirus were selected and subjected to multiple sequence alignments using the MUSCLE program function. Finally, the phylogenetic tree was estimated using the maximum likelihood method and a suitable parameter model with MEGA X [32].

2.5. Primer Design for Molecular Detection

The HCRSV isolates in the NCBI database were subjected to multiple sequence alignment (MSA) to determine the consensus regions among them. Forward and reverse primers were designed based on the consensus region. The MSA and primer designing was primarily done using the available online version of the software BioEdit version 7.7, OligoCalc, and PrimerBlast, which cover the filters for good primer design, such as suitable melting temperature, GC ratio, self-dimer, and hairpin formation [34,35]. Three primer pairs were designed based on the NCBI database’s consensus sequence of all the HCRSV isolates reported and are listed in Table 2.

2.6. cDNA Synthesis and RT-PCR

Synthesis of cDNA of the total RNA extracts was done using Thermo Scientific RevertAid First Strand cDNA Synthesis Kit (Universiti Kebangsaan Malaysia, Selangor, Malaysia) according to the manufacturer’s protocol; for each RNA extract, the template RNA (0.1 ng–5 ng) was added into a nuclease-free tube that was put on ice. Afterwards, the remaining components of the kit were added to the tube: 1 μL of Oligo (dT)18 primer, 4 μL of 5X Reaction Buffer, 1 μL of RiboLock RNase Inhibitor (20 U/μL), 2 μL of 10 mM dNTP Mix, 1 μL of RevertAid M-MuLV RT (200 U/μL), and nuclease-free water to the total volume of 20 μL. The content of the tube was mixed gently and briefly centrifuged. Then, the tube was incubated for 60 min at 42 °C and terminated by heating for 5 min at 70 °C. The tube containing the reaction product was then kept at −80 °C until used for PCR.
The PCR amplification was done using the Thermo Scientific DreamTaq PCR Master Mix (2×) Kit according to the manufacturer’s protocol: 25 μL of DreamTaq PCR Master Mix (2×) was put into a PCR tube on ice, then added with forward and reverse primer (0.1–1.0 μM each), the template cDNA product from earlier (10 pg − 1 μg), and nuclease-free water up to 50 μL total volume. The thermocycling conditions were as follows: initial denaturation for 30 s at 95 °C; 35 cycles of 10 s at 98 °C, 20 s at 56 °C, and 3 min at 72 °C; followed by a final extension of 10 min at 72 °C (BIORAD T100 Thermal Cycler, Universiti Kebangsaan Malaysia, Selangor, Malaysia). A negative control (no virus, symptomless sample) was included. Then, electrophoresis was performed by running 5 μL of the RT-PCR product onto the wells of 1% agarose gel with TAE buffer, which was stained with ethidium bromide. The visualisation of the expected band was done under UV light.

2.7. Light Microscopy

The symptomatic and symptomless (healthy) leaves were collected and brought to the anatomy laboratory in the Faculty of Science and Technology, UKM, Malaysia. The leaves’ transverse sections (around 30 µm)—namely, petiole, midrib, and lamina—were prepared from a fresh leaf held between polystyrene pieces by slicing using a sliding microtome (Leica SM2000 R, Universiti Kebangsaan Malaysia, Selangor, Malaysia). The sliced samples were separated into two groups. Those in the first group were mounted in distilled water for the initial observation under a light microscope (Olympus BX43, Universiti Kebangsaan Malaysia, Selangor, Malaysia), while those in the second group were preserved in sodium hypochlorite (Clorox) for 3 min before being washed with 3 changes of distilled water. Histochemical analysis of the samples (second group) was done via staining [36,37]. The samples were stained with both Safranin and Alcian blue stains for 15 min each before being washed with 3 changes of distilled water. Afterwards, samples were dehydrated with increasing ethanol concentrations (50%, 70%, 90%, 100%) for 5 min each. The samples were then transferred to a slide and mounted with Euparal. The photomicrographs of the sections were observed and taken using the light microscope (Olympus BX43) with the Analysis DoCu and EOS Utility 2 software.

2.8. Scanning Electron Microscopy

The samples were taken to the Electron Microscopy Unit, UKM, Malaysia, for preparation for the scanning electron microscope (SEM) [29]. The samples were cut into approximately 1 cm2 sections along the leaf midrib. The sections were fixed in 4% glutaraldehyde overnight at 4 °C. The sections were then washed with 0.1 M phosphate buffer before being dehydrated in an acetone series (35%, 50%, 75%, 95%, and 100%) for 30 min each. Sections were then placed in a critical point drying machine for 30 min to let them dry. Afterwards, the sections were attached to the stub with double-sided tape. The sections were then coated using a sputter-coater machine (gold-coated) and observed via scanning electron microscope (LEO 1450-VP SEM).
The stomatal index (SI) is one of the best quantitative measurements of the anatomical characteristic of a plant. The SI is a percentage calculation that can be measured using the formula below:
SI = [s/(s + p)] × 100
where s is the number of stomata in view and p is the number of epidermal cells in the view.

3. Results

3.1. The Nucleotide Sequence of HCRSV-Malaysian Isolate

This study revealed that one contig (3873 bp) was present in the pooled sample after being aligned to the NCBI database using MegaBLAST [30]. The contig had the highest similarity (93.37%) with the HCRSV isolate from Singapore (GenBank accession number: NC_003608.1) with a typical genome organisation of the HCRSV containing seven putative ORFs (Figure 1). The revealed genome was deposited in GenBank with accession number MN080500.1 and named HCRSV-UKM.
Computational analysis done on the HCRSV-UKM genome revealed that it had a nucleotide similarity ranging from approximately 87 to 93% with the isolates from Singapore (NC_003608.1), USA (MT512573.1), Brazil (MK279671.1), China (KY933060.1), Israel (KC876666.1), and Taiwan (DQ392986.1) [7,15,21,38]. The highest nucleotide sequence similarity of HCRSV-UKM was with the HCRSV from Singapore (93.37%), while the lowest sequence similarity was with the HCRSV from Taiwan (87.90%) (Table 3). Figure 2 outlines the identity plot of the HCRSV isolates showing the general overview of their nucleotide sequence identity [7]. In addition to the nucleotide sequence similarity, the amino acid sequence could also be deduced and compared using the ORF prediction. Table 3 shows the comparison between the HCRSV isolates.
The predicted amino acid sequence of HCRSV-UKM showed varying degrees of similarity across all the other putative amino acids from other HCRSV isolates (Table 3). The putative p23 had the lowest percentage of amino acid sequence similarity. All the predicted amino acid sequences were put through the motif scan tools at ExPASy-MyHits (https://myhits.isb-sib.ch/cgi-bin/motif_scan, accessed on 1 March 2023) [7]. The results of the motif scan show that the RdRp and CP both have the potential for the catalytic domain and shell (S) domain, respectively.
Maximum likelihood phylogenetic analysis based on the multiple sequence analysis of the complete genomes of Betacarmoviruses was performed with a bootstrapping of 1000 replications using the software MEGA X. Figure 3 shows the phylogenetic tree of the position of HCRSV-UKM (in red box) with the other six HCRSV isolates and other Betacarmoviruses.

3.2. Detection of the HCRSV Using RT-PCR

RT-PCR was utilised as a complementary method alongside the RNA-Seq to confirm the presence of the HCRSV in H. rosa-sinensis in Malaysia. The designed primer pairs (Table 2) were used for the molecular detection of the HCRSV. RT-PCR products were generated from the symptomatic leaves of H. rosa-sinensis from different landscape plantings’ locations, with varying degrees of positive tests, as can be examined in Figure 4 and Figure 5. All three primer pairs had more than 50% efficacy for the diagnostics of the symptomatic samples, with around 52% for HCRSV-Fwd-Rvs-1 (primer pair 1), 84% for HCRSV-Fwd-Rvs-2 (primer pair 2), and 81% for HCRSV-Fwd-Rvs-3 (primer pair 3). A symptomless sample was collected and tested, showing no bands.

3.3. Anatomical and Morphological Analysis of the H. rosa-sinensis Leaf

Changes to the leaf structure of infected H. rosa-sinensis were examined and compared with the healthy leaf sample (Figure 6 and Figure 7). The transverse sections of the leaf lamina, petiole, and midrib were observed under a light microscope. The micromorphological characteristics of the samples were observed under a scanning electron microscope (SEM). This study found that there were indeed several differences in the characteristics of the samples that could be used to differentiate an infected individual plant.

3.3.1. Transverse Sections of the Leaf Lamina

The transverse sections of the leaf lamina, petiole, and midrib of healthy and HCRSV-infected samples are presented in Figure 7. Generally, there were changes observed in the transverse sections of the leaf of the infected sample compared with the healthy one: certain characteristics were reduced while others appeared to be increased.
In the leaf lamina, the chlorophyll distribution in the healthy sample was abundant and arranged neatly throughout. Meanwhile, the chlorophyll distribution in the infected sample was reduced and scattered on the region with the infection symptom (chlorotic spots). The average diameter for the leaf lamina in the infected sample increased by approximately 79.12% compared with the healthy sample. The average height of the epidermis in the infected sample also increased by around 6.22%. The average width of the epidermis in the infected sample also increased by around 77.64%. The chlorenchyma in both healthy and infected samples consisted of one layer of the palisade, but different layers of the spongy mesophyll, with 4–6 layers and 2–5 layers, respectively. Mucilaginous idioblast cells could be observed in the epidermis in both samples. There were druses observed in the chlorenchyma in both samples.

3.3.2. Transverse Sections of the Petiole

For the petiole anatomical characteristics in Figure 7, observation of petiole transverse sections showed that the average diameter of the infected sample was thicker compared with the healthy one by approximately 5.88%. The average height of the epidermis of the infected sample was shorter than the healthy one by approximately 5.23%, and the average width of the epidermis of the infected sample was smaller than the healthy sample by approximately 8.04%. Meanwhile, the hypodermis of the infected sample had a shorter average height compared with the healthy sample by approximately 2.79%, while the average width was smaller by approximately 1.09%. The cortex observed in the infected sample had 6–8 layers of parenchyma cells, while the healthy sample had 5–7 layers of parenchyma. The diameter of the parenchyma in the infected sample was reduced by approximately 44.31% compared with the healthy sample. Both infected and healthy samples had a closed vascular bundle. The average diameter of both the xylem and phloem in the infected sample was larger compared with the healthy sample by approximately 73.67% and 16.56%, respectively. Sclerenchyma cells were only observed in the infected sample, just outside the vascular bundle. The mucilaginous idioblast cells were observed in both the infected and healthy samples. The druses could also be observed throughout both infected and healthy samples. The average diameter of the pith of the infected sample was slightly smaller than the healthy sample by approximately 6.06%. Simple trichomes were observed on the adaxial side of both the infected and healthy samples. Glandular trichomes were only observed on the abaxial side of the healthy sample.

3.3.3. Transverse Sections of the Midrib

For the midrib anatomical characteristics, the average diameter of the infected sample was reduced compared with the healthy sample by approximately 17.86%. The average height of the epidermis of the infected sample increased by 19.78%, while the average width of the epidermis of the infected sample also increased by 27.45%. For the palisade, the average height and width in the infected sample increased by 99.17% and 89.39%, respectively, compared with the healthy one. The diameter of the collenchyma cells in the infected sample was reduced by approximately 25.25% compared with the healthy sample. Trichomes were observed only in the healthy sample. An opened system of the vascular bundle was observed in both samples, with the average diameter of the xylem thickened in the infected sample by 34.07%. Meanwhile, the average diameter of the phloem in the infected sample was also a little bit thicker compared with the healthy one by around 2.79%. Sclerenchyma cells were only observed in the infected sample. Mucilaginous idioblast cells and druses could be found in both samples.

3.3.4. Micromorphological Analysis of the Leaf Lamina of H. rosa-sinensis

The micromorphological analysis was done on the leaf of H. rosa-sinensis by comparing the infected and healthy samples via observation under an SEM (Figure 8). Like the anatomical analysis, the morphological study showed that certain characteristics were different, and others were similar between the healthy and infected samples.
In both samples, there was clear abaxial epidermis cuticle ornamentation, where the anticlinal walls merged to form a ridge, whereas the periclinal walls subsided to form cleavage. There was also clear ornamentation on the adaxial side, where the anticlinal walls merged to form a ridge and the periclinal walls subsided to form cleavage. Cuticles on the adaxial epidermis surface in both samples were observed. In both samples, the cuticles on the leaf abaxial epidermis surface were clearer surrounding the stomata. However, the cuticle linings were more pronounced in the infected sample compared with the healthy one. In both samples, hypostomatic stomata were found randomly scattered on the abaxial side of the leaf epidermis, in which the infected sample exhibited a reduced average of the length and width of the stomata by approximately 12.41% and 3.03%, respectively. Furthermore, the stomatal index of the infected sample was higher at 44.7% compared with the healthy sample at 28.2%.

4. Discussion

The phylogenetic tree that was generated showed that the identity and classification of the discovered genome were indeed the HCRSV [11]. The phylogenetic analysis of the HCRSV-UKM (Malaysian isolate) revealed an approximately 87–93% sequence similarity with the other six isolates—namely, from Singapore, USA, Brazil, China, Israel, and Taiwan—recorded in the NCBI database. Additionally, the predicted amino acid sequence of all seven ORFs of HCRSV-UKM revealed between 69–100% sequence similarity with the other six isolates. While the sequence similarity differed between the isolates, the percentage was still within an acceptable range to still be classified as the same species [39]. The chlorotic spot symptom found in Malaysian H. rosa-sinensis was in line with previous reports and studies [6,7,12,18,19,21,23].
Adopting a molecular approach has been the standard for the detection of viral presence in plant populations, with RT-PCR being one of the widely used methods [40]. RT-PCR was shown to be efficient at detecting viruses in plants, making it a robust strategy for screening imported material and quarantining infected samples [40,41,42]. This study utilised RT-PCR as a complementary molecular technique to RNA sequencing to successfully confirm the presence of the HCRSV in H. rosa-sinensis in Malaysia. To our knowledge, this study was the first to use RT-PCR to investigate the presence of the virus in Malaysian H. rosa-sinensis. Apart from characterising the virus symptom and infection on the host species, a molecular detection strategy is essential in addressing the issue of plant viral infection. There is a need for this entire study to be done to gather the necessary information considering the potential for the host plant to act as a virus reservoir that could cause serious damage to other plants [10,43].
Microscopy was used to examine the anatomical structures of healthy and infected leaves, such as chloroplasts. The chloroplasts in the infected sample (with symptom chlorosis) were reduced compared with the healthy one. This agreed with previous studies that recorded lower amounts and smaller sizes of chloroplasts, palisade, and spongy mesophyll cells in virus-infected samples compared with their healthy counterparts [44,45,46]. Unsurprisingly, the chlorophyll distribution in the healthy sample was significantly higher compared with the infected samples. It was observed that the healthy sample contained a thick, healthy amount of chlorophyll pigmentation compared with the infected one. This showed that viral infection could lead to a reduction in chlorophyll, which then could negatively affect the photosynthetic pathways in plants [47]. Interestingly, the chloroplast is a target for the plant viral infection cycle, but at the same time, could potentially have a role in plant defence [48,49]. Further studies on the impact of viruses on the chlorophyll distribution in H. rosa-sinensis would be beneficial to properly examine the plant cell–virus interaction in this host. [47,48].
The transverse section of petioles showed differences between healthy and infected samples. Apart from the taxonomic importance, the anatomical characteristics can be regarded as plant adaptations against viral infections [50]. One of the adaptations is the presence of trichomes. Overall, the number of trichomes in the healthy sample was fewer compared with the infected samples. This is in line with a previous study suggesting the number of trichomes corresponding to the defence against pathogen infestation due to its containing chemical protectants for the plant [51]. Trichome formations were also suggested to cause developmental stress on plant growth yet are essential for plant protection against pathogens and even predators [52].
Another adaptation is the relative size of the epidermis layer between healthy and infected samples. The result shows that the infected samples had a thicker epidermis compared with the healthy sample. These data were in keeping with a previous publication that mentioned the possibility of a thick epidermis providing a leaf texture acting as protection that could at least partially hinder virus penetration into the plant cells, insect vectors, and mechanical shocks [53].
The phloem and xylem of the healthy sample were smaller compared with the infected one. This coincided with previous studies on the structural changes that occur in virus-infected plants [44,46]. However, the molecular mechanisms that influence viral infection and cell size are yet to be fully understood. The vascular bundle was related to the systemic plant virus movement. Interestingly, the living state of the phloem makes it the most studied means of virus transport compared with the non-living state of the xylem, although both could, to a certain extent, carry virus particles [54]. It remains challenging to study a sample of vascular tissues due to the ease of contamination. As such, studying the associated proteins has become the preferred method to understand the plant response against viral infection, where phloem-associated defence and signalling protein genes can be detected upon viral infestation [54].
Sclerenchyma is an elastic support system made up of a collection of cells with lignified walls that strengthen the overall tissue of plants [55]. This group of cells was present only in the HCRSV-infected samples, which may be important as an adaptation to provide strength to the plant against environmental stress [56].
Mucilage or mucilaginous idioblast cells were found to be abundant in the infected sample compared with the healthy sample. Mucilage is a cell containing beneficial secretions of secondary metabolites [55,57]. While it is intriguing to claim that the cells are an adaptation against plant viruses, there is yet a study that specifies the mechanism of the mucilage cells.
Druse is a form of calcium oxalate crystals that can be observed in plant cells and was found to act as a deterrent against insects and even as a source of carbon dioxide [58,59]. In many cases, the presence of druse was linked to the plant’s adaptation to stresses to ensure its survival. Relatively speaking, the distribution of druse in the healthy sample was low in the pith, parenchyma cortex, hypodermis, and collenchyma, but high in the vascular tissue. In the HCRSV-infected sample, the distribution of druse was relatively very high in the pith, parenchyma cortex of petiole, and collenchyma; and the distribution of druse is high in the hypodermis, palisade, parenchyma cortex of midrib, and the vascular tissue. Overall, all samples contained druses, but relatively more in the infected sample compared with the healthy one. These data suggest that the plant is always prepared for defence using calcium oxalate and will increase the production of the mineral in case of a viral attack [60].
A characteristic that was observed through the SEM was the cuticle. The cuticle is a waxy layer on the outermost part of the epidermis. The structure is widely known as the protective layer that reduces the rate of water loss from the leaf surface and also as a defence mechanism [55]. Studies were done that explored its role in plant defence against extreme environmental stresses, mechanical injuries, and pathogen infestations [61]. The observation of the samples showed that the formation of the cuticle on the HCRSV-infected and healthy samples was similar. The anticlinal and periclinal walls could be observed in both healthy and HCRSV-infected samples. However, the cuticle linings were mostly observed in the HCRSV-infected sample compared with the healthy sample. These ‘cuticle linings’ are also referred to as ‘striae’ [62]. Plant cuticle has the potential for an essential role in plant–pathogen interactions, where it is involved as a defence signalling factor that contributes to the pathways to promote defence [61]. It is worth mentioning that cuticle studies remain elusive, and the cuticle is yet to be understood fully, especially concerning the data found in this study.
Another significant anatomical characteristic is the stomata. This structure is widely recognised as the ‘pair of guard cells’ for gaseous exchange and plant transpiration. Like cuticles, stomata were also studied for their potential in plant defence against pathogens [63]. From the data, stomata observed in the healthy sample were larger compared with the HCRSV-infected sample. The smaller size of the infected sample would reduce the number of openings available for pathogen entry, as this is the most straightforward adaptation for plant defence [63]. However, this adaptation could reduce plant tolerance against environmental stresses that are dependent on the openings of the stomata [64].
The stomatal index (SI) of a plant could be influenced by the amount of light, carbon dioxide concentration, and humidity of the surroundings [52]. The data showed that the SI of the healthy sample was lower (28.2%) compared with the HCRSV-infected sample (44.7%). It is also interesting to consider that these data are in line with [52], where the plants with lower SI have fewer trichomes, potentially due to the environmental adaptation of the plant species.
Other factors that should be considered are the incubation period (time between pathogen infection and symptom expression) and the latent period (time between host infection and the onset of pathogen infectiousness from that infection) [65]. These two periods are essential in managing the epidemics of plant pathogens and could also be affecting the variance in symptoms exhibition in the host and the anatomical adaptations, although more studies must be done to confirm this [66,67].

5. Conclusions

This study established that H. rosa-sinensis in Malaysia is a host species for the plant virus HCRSV. The leaves of the host plant exhibited the chlorotic spots symptom. This was the first report on the complete genome of the HCRSV found infecting H. rosa-sinensis in Malaysia.
The phylogenetic analysis elucidated the sequence similarity of the HCRSV found in Malaysia to the other isolates found in H. rosa-sinensis in different parts of the world. The molecular approach used in this research validated the viability of RT-PCR as a suitable detection tool for diagnosing viruses infecting plants in Malaysia, allowing for better control of the spread into and throughout the country. The anatomical and micromorphological analysis of H. rosa-sinensis in this study showed the adaptations of the plant leaf structure as a response to pathogen infection. Understanding the formation of these structures as an adaptation could help to further the knowledge regarding plant viral mechanisms and defence. This could lead to a better understanding of the severity of infection, thus highlighting the importance of protecting the host plant species.
In conclusion, this study demonstrated the presence of HCRSV infection in H. rosa-sinensis within the geographical range in Malaysia, the complete genome of the HCRSV isolate, a reliable molecular detection method, and its impact on the host anatomy and morphology. These results shall help to formulate a management strategy to better protect the Malaysian national flower.

Author Contributions

Conceptualisation, N.T. and H.B.; methodology, M.S.M.Y., N.L., N.T. and H.B.; software, M.S.M.Y. and S.H.; validation, N.T., M.F.M.S., A.A., M.N.S., H.S.H., S.H. and H.B.; formal analysis, M.S.M.Y. and N.L.; investigation, M.S.M.Y., N.L. and M.F.M.S.; resources, N.T., A.A., S.H. and H.B.; data curation, M.S.M.Y., N.L. and M.F.M.S.; writing—original draft preparation, M.S.M.Y. and N.L.; writing—review and editing, N.T., M.F.M.S., A.A., M.N.S., H.S.H., S.H. and H.B.; visualisation, M.S.M.Y. and N.L.; supervision, N.T., S.H. and H.B.; project administration, M.F.M.S., A.A., M.N.S., H.S.H., S.H. and H.B.; funding acquisition, H.B. All authors read and agreed to the published version of the manuscript.

Funding

This research was supported by Universiti Kebangsaan Malaysia (DIP-2020-019 and SK-2022-015).

Data Availability Statement

The complete genome sequence in this study, namely, HCRSV-UKM, was deposited in GenBank under the accession number MN080500.1.

Conflicts of Interest

The authors declare no conflict of interest.

References

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Figure 1. Schematic representation of the HCRSV genome organisation showing the proteins encoded from the seven ORFs. The kDa values indicate the sizes of the putative proteins and isoforms. Figure adapted from [17].
Figure 1. Schematic representation of the HCRSV genome organisation showing the proteins encoded from the seven ORFs. The kDa values indicate the sizes of the putative proteins and isoforms. Figure adapted from [17].
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Figure 2. Nucleotide sequence identity similarity between the HCRSV isolates with the complete genome. The HCRSV from Singapore (NC_003608.1) was the reference genome for the species, and the remaining isolates can be seen in the figure (TW_Taiwan—dark blue line, UKM_Malaysia—orange line, XM_China—grey line, Is_Israel—yellow line, SB01_Brazil—light blue line, and OUGC_USA—green line). Data were generated using SimPlot software [31]. Window size: 300 nts, step size: 20 nts. This figure is adapted from the method developed by [7].
Figure 2. Nucleotide sequence identity similarity between the HCRSV isolates with the complete genome. The HCRSV from Singapore (NC_003608.1) was the reference genome for the species, and the remaining isolates can be seen in the figure (TW_Taiwan—dark blue line, UKM_Malaysia—orange line, XM_China—grey line, Is_Israel—yellow line, SB01_Brazil—light blue line, and OUGC_USA—green line). Data were generated using SimPlot software [31]. Window size: 300 nts, step size: 20 nts. This figure is adapted from the method developed by [7].
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Figure 3. The evolutionary history was inferred using the maximum likelihood method and general time reversible model conducted using MEGA X. Phylogenetic tree generated from multiple sequence alignment of the complete genomes of viruses from the NCBI GenBank, showing the position of the revealed genome of this study, HCRSV-UKM (in red box), among Betacarmoviruses. Carnation mottle virus (NC_001265.2) was used as the outgroup. The tree shows the accession number and the name of the respective virus. Scale bar represents a genetic distance of 0.2.
Figure 3. The evolutionary history was inferred using the maximum likelihood method and general time reversible model conducted using MEGA X. Phylogenetic tree generated from multiple sequence alignment of the complete genomes of viruses from the NCBI GenBank, showing the position of the revealed genome of this study, HCRSV-UKM (in red box), among Betacarmoviruses. Carnation mottle virus (NC_001265.2) was used as the outgroup. The tree shows the accession number and the name of the respective virus. Scale bar represents a genetic distance of 0.2.
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Figure 4. Detection of Hibiscus chlorotic ringspot virus in leaves of H. rosa-sinensis in different landscape plantings using RT-PCR. The figure shows the result of several samples. 1, 2, and 3: Bangi samples using primer pairs 1, 2, and 3, respectively. 4, 5, and 6: Putrajaya samples using primer pairs 1, 2, and 3, respectively. 7, 8, and 9: Ipoh samples using primer pairs 1, 2, and 3, respectively. 10, 11, and 12: control for each primer pair. L: VC 1 kb DNA ladder.
Figure 4. Detection of Hibiscus chlorotic ringspot virus in leaves of H. rosa-sinensis in different landscape plantings using RT-PCR. The figure shows the result of several samples. 1, 2, and 3: Bangi samples using primer pairs 1, 2, and 3, respectively. 4, 5, and 6: Putrajaya samples using primer pairs 1, 2, and 3, respectively. 7, 8, and 9: Ipoh samples using primer pairs 1, 2, and 3, respectively. 10, 11, and 12: control for each primer pair. L: VC 1 kb DNA ladder.
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Figure 5. Detection of Hibiscus chlorotic ringspot virus in leaves of H. rosa-sinensis in different landscape plantings using RT-PCR. The figure shows the result of several samples. 13, 14, and 15: UKM samples using primer pairs 1, 2, and 3, respectively. 16, 17, and 18: Nilai samples using primer pairs 1, 2, and 3, respectively. 19, 20, and 21: Raub samples using primer pairs 1, 2, and 3, respectively. 22, 23, and 24: control for each primer pair. L: VC 1 kb DNA ladder.
Figure 5. Detection of Hibiscus chlorotic ringspot virus in leaves of H. rosa-sinensis in different landscape plantings using RT-PCR. The figure shows the result of several samples. 13, 14, and 15: UKM samples using primer pairs 1, 2, and 3, respectively. 16, 17, and 18: Nilai samples using primer pairs 1, 2, and 3, respectively. 19, 20, and 21: Raub samples using primer pairs 1, 2, and 3, respectively. 22, 23, and 24: control for each primer pair. L: VC 1 kb DNA ladder.
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Figure 6. The leaves of H. rosa-sinensis. (a) The healthy leaf showing no symptoms. (b) Symptomatic leaf showing chlorotic spots. (c) Transverse sections of the healthy leaf lamina with thick chlorophyll distribution (arrow). (d) Transverse sections of the symptomatic leaf lamina with uneven chlorophyll distribution (arrow).
Figure 6. The leaves of H. rosa-sinensis. (a) The healthy leaf showing no symptoms. (b) Symptomatic leaf showing chlorotic spots. (c) Transverse sections of the healthy leaf lamina with thick chlorophyll distribution (arrow). (d) Transverse sections of the symptomatic leaf lamina with uneven chlorophyll distribution (arrow).
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Figure 7. Transverse sections of leaf lamina, petiole, and midrib of H. rosa-sinensis. (a,c,e) show the healthy leaf sample, while (b,d,f) show the HCRSV-infected leaf sample. Red arrows point at druses, while yellow arrows point at mucilaginous idioblast cells. (a) Leaf lamina of a healthy leaf showing the druses and mucilaginous idioblast cells. (b) Leaf lamina of an HCRSV-infected leaf showing the druses and mucilaginous idioblast cells. (c) Petiole of a healthy leaf sample. (d) Petiole of an HCSRV-infected leaf sample. (e) The midrib of a healthy leaf sample. (f) The midrib of an HCRSV-infected leaf sample.
Figure 7. Transverse sections of leaf lamina, petiole, and midrib of H. rosa-sinensis. (a,c,e) show the healthy leaf sample, while (b,d,f) show the HCRSV-infected leaf sample. Red arrows point at druses, while yellow arrows point at mucilaginous idioblast cells. (a) Leaf lamina of a healthy leaf showing the druses and mucilaginous idioblast cells. (b) Leaf lamina of an HCRSV-infected leaf showing the druses and mucilaginous idioblast cells. (c) Petiole of a healthy leaf sample. (d) Petiole of an HCSRV-infected leaf sample. (e) The midrib of a healthy leaf sample. (f) The midrib of an HCRSV-infected leaf sample.
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Figure 8. The micrograph under an SEM of the H. rosa-sinensis leaf epidermis. (a,b) are from the healthy leaf sample, while (c,d) are from an HCRSV-infected leaf sample. Purple arrows point at cuticular ornamentation. (a,c) The structure of anticlinal and periclinal walls surrounding trichomes and stomata can be observed on the epidermis of the leaf abaxial leaf surface. (b) Hypostomatic stomata with striae cuticular ornamentation (purple arrow). (d) Hypostomatic stomata with increased striae cuticular ornamentation compared with the healthy leaf sample (purple arrow).
Figure 8. The micrograph under an SEM of the H. rosa-sinensis leaf epidermis. (a,b) are from the healthy leaf sample, while (c,d) are from an HCRSV-infected leaf sample. Purple arrows point at cuticular ornamentation. (a,c) The structure of anticlinal and periclinal walls surrounding trichomes and stomata can be observed on the epidermis of the leaf abaxial leaf surface. (b) Hypostomatic stomata with striae cuticular ornamentation (purple arrow). (d) Hypostomatic stomata with increased striae cuticular ornamentation compared with the healthy leaf sample (purple arrow).
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Table 1. List of the quantities of collected leaf samples of H. rosa-sinensis with the symptoms and respective locations.
Table 1. List of the quantities of collected leaf samples of H. rosa-sinensis with the symptoms and respective locations.
SymptomLocation (Google Coordinates)Quantity of Samples
Foliar chlorotic spotsBangi, Selangor (2.96641, 101.78868)5
UKM, Selangor (2.92528, 101.773)5
Nilai, Negeri Sembilan (2.80842, 101.81312)7
Ipoh, Perak (4.62352, 101.06852)4
Raub, Pahang (3.79353, 101.85746)5
Putrajaya (2.92424, 101.6892)5
Total: 31
Table 2. Details of the primer pairs designed to be tested for molecular testing through RT-PCR amplification of the samples with the chlorotic spots symptom.
Table 2. Details of the primer pairs designed to be tested for molecular testing through RT-PCR amplification of the samples with the chlorotic spots symptom.
No.Primer NamePrimer Sequence (5′–3′)Expected Product SizeTarget Region
1HCRSV-Fwd-1CCATTGCGAGTTTGTGGGC421 bpCP
HCRSV-Rvs-1CACATCCCCTTCAGATTGGC
2HCRSV-Fwd-2CCAGTAGTTCCGACCCTAAGC663 bpCP
HCRSV-Rvs-2AGCCCACCCGAAGGATTTT
3HCRSV-Fwd-3TGGCCACTCCTCTGGTACTTAC947 bpRdRp
HCRSV-Rvs-3CGCATCCACAGAAACGTGCTG
Note: The primer design was sourced from information in the NCBI database. Fwd: forward primer; Rvs: reverse primer; bp: base pair (amplicon size); CP: coat protein; RdRp: RNA-dependent RNA polymerase.
Table 3. Comparison of the percentage similarities of nucleotide and deduced amino acid sequences between the HCRSV-UKM and other HCRSV isolates available in NCBI GenBank.
Table 3. Comparison of the percentage similarities of nucleotide and deduced amino acid sequences between the HCRSV-UKM and other HCRSV isolates available in NCBI GenBank.
HCRSV-UKM (MN080500.1)HCRSV Isolate
Singapore
(NC_003608.1)
TW_Taiwan (DQ392986.1)XM_China (KY933060.1)Is_Israel (KC876666.1)SB01_Brazil (MK279671.1)OUGC_USA (MT512573.1)
Nucleotide sequence (%)
Complete genome93.3787.9092.9992.2993.1993.31
Predicted amino acid sequence by ORF (%)
RdRp96.3290.1594.8295.9196.1995.78
P2895.7985.0591.1293.4694.8694.86
P2382.7469.4280.0080.7181.2285.79
P9100.0084.6296.1591.3898.7293.10
P891.4387.1497.1497.1498.5792.86
P2594.2087.5095.0991.9695.9895.09
CP96.5295.9497.9793.6297.6897.10
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Yusop, M.S.M.; Lanisa, N.; Talip, N.; Mat Saad, M.F.; Abas, A.; Sarian, M.N.; Hamezah, H.S.; Harun, S.; Bunawan, H. The Complete Genome Sequence, Molecular Detection, and Anatomical Analysis of Hibiscus Chlorotic Ringspot Virus Infecting Hibiscus rosa-sinensis in Peninsular Malaysia. Horticulturae 2023, 9, 569. https://doi.org/10.3390/horticulturae9050569

AMA Style

Yusop MSM, Lanisa N, Talip N, Mat Saad MF, Abas A, Sarian MN, Hamezah HS, Harun S, Bunawan H. The Complete Genome Sequence, Molecular Detection, and Anatomical Analysis of Hibiscus Chlorotic Ringspot Virus Infecting Hibiscus rosa-sinensis in Peninsular Malaysia. Horticulturae. 2023; 9(5):569. https://doi.org/10.3390/horticulturae9050569

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Yusop, Mohd Shakir Mohamad, Normawati Lanisa, Noraini Talip, Mohd Faiz Mat Saad, Azlan Abas, Murni Nazira Sarian, Hamizah Shahirah Hamezah, Sarahani Harun, and Hamidun Bunawan. 2023. "The Complete Genome Sequence, Molecular Detection, and Anatomical Analysis of Hibiscus Chlorotic Ringspot Virus Infecting Hibiscus rosa-sinensis in Peninsular Malaysia" Horticulturae 9, no. 5: 569. https://doi.org/10.3390/horticulturae9050569

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