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Article

Varying Tolerance to Diesel Toxicity Revealed by Growth Response Evaluation of Petunia grandiflora Shoot Lines Regenerated after Diesel Fuel Treatment †

by
Solomon Peter Wante
1,2,
David W. M. Leung
2,* and
Hossein Alizadeh
3
1
Grapevine Improvement Team Bragato Research Institute, Lincoln 7647, New Zealand
2
School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
3
Department of Agricultural Sciences, Lincoln University, Lincoln 7647, New Zealand
*
Author to whom correspondence should be addressed.
†
This paper is part of the PhD thesis of Solomon Peter Wante, presented at University of Canterbury (New Zealand).
Agriculture 2024, 14(9), 1562; https://doi.org/10.3390/agriculture14091562
Submission received: 9 August 2024 / Revised: 5 September 2024 / Accepted: 7 September 2024 / Published: 9 September 2024
(This article belongs to the Section Crop Production)
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Abstract

:
Continuous efforts are required to find ways to protect crop production against the toxicity of petroleum hydrocarbons, such as diesel, and contamination of soils. There is a need for identification of candidate plants that are tolerant to diesel toxicity that might also have the potential for remediation of diesel-contaminated soils. In this study, petunia, a popular ornamental plant and a model experimental plant in research on phytoremediation of environmental pollutants, was used to evaluate a novel method for rapidly assessing diesel toxicity based on the tolerance of shoots generated through in vitro plant cell culture selection. Petunia shoot lines (L1 to L4) regenerated from diesel-treated callus were compared with those from non-diesel-treated callus (control). Significant morphological differences were observed among the tested lines and control, notably with L1 and L4 showing superior growth. In particular, L4 exhibited remarkable adaptability, with increased root development and microbial counts in a diesel-contaminated potting mix, suggesting that the shoots exhibited enhanced tolerance to diesel exposure. Here, this rapid bioassay has been shown to effectively identify plants with varying levels of tolerance to diesel toxicity and could therefore assist accelerated selection of superior plants for phytoremediation. Further research is needed to understand the genetic and physiological mechanisms underlying tolerance traits, with potential applications beyond petunias to other environmentally significant plants.

1. Introduction

Soil contamination resulting from activities of petroleum hydrocarbon industries is still a global environmental problem [1] because of the large number of toxic compounds being released daily into the ecosystem [2]. Diesel fuel is one of the petroleum hydrocarbon products and the most widely used fuel product nowadays. It has more recalcitrant and less biodegradable hydrocarbons [3,4]. The light or low-molecular-weight hydrocarbon components found in diesel are more toxic to plants than other petroleum products [5]. Diesel-contaminated soil could lead to water and oxygen deficits as well as the absence of available forms of nutrients such as nitrogen and phosphorus [3]. Polycyclic aromatic hydrocarbons (PAHs) are also present in diesel and have been recognised as posing a serious threat to public and ecosystem health [5]. A good number of plants have been shown to withstand the effects of PAH contamination in the environment [6]. Therefore, plant-assisted remediation is possible as a green technology that could help mitigate the undesirable effects of petroleum hydrocarbons, such as diesel-contaminated soil [7]. Also, several research studies under field and glasshouse conditions have tested different systematic approaches to select suitable plant species that encouraged remediation of diesel-contaminated soil [8,9]. Some of these experimental approaches have several limitations, such as an inadequate plant population that may not represent the extensive genetic diversity available for selection. This limitation is understandable due to the well-known fact that screening a substantial number of plant populations would require significantly more time and space. An in vitro practical approach involving the exposure of Petunia grandiflora (petunia) callus culture to diesel fuel toxicity was demonstrated [4]. The objective of this in vitro approach was to emulate the selection of plant germplasm in the field, albeit at the cellular level. This allows the screening of a large population of cells that might harbour genetic variations (somaclonal variation) or mutations enabling survival against diesel toxicity. Subsequently, diesel-resistant shoots of interest could be regenerated within a reasonable timeframe [4].
Numerous studies have reported the potential of ornamental plants for remediating soils contaminated with petroleum hydrocarbons. These investigations include the effects of heavy metals and benzo[a]pyrene on Tagetes patula growth [10], capability of Mirabilis jalapa in treating petroleum-contaminated soil [11], removal of eight PAHs using five ornamental species [12], and the screening of some ornamental flowering plants on oil-contaminated soil [13]. The uptake of PAHs by Sedum spectabile was studied [14], along with investigations into the remediation efficiency of Helianthus annuus and T. erecta [15].
For remediation of polluted landscapes, the use of ornamental plants would be preferable to food plants, as this would minimise the chance of pollutants entering the food chain [16]. Ornamental plants also have the potential to add their aesthetic value to polluted landscapes [17]. In many reports, petunia, a common ornamental bedding plant, has been used as a suitable model experimental plant system in plant biology [4,18].
The evaluation of the growth performance of the plants, following in vitro selection for phytoremediation purposes under glasshouse conditions, is a pre-requisite before conducting field trials in various environments [19,20]. Phenotypic traits are significant parameters in the selection of plants and are controlled by key interconnected factors such as genes, the immediate environment, and developmental processes [21]. Stress conditions around plants can trigger the manifestation of adaptability traits. The phenotypic differences in diesel-regenerated shoots grown on potting mix spiked with diesel fuel were studied. An in vitro-selected shoot showing better growth than control will be promising in diesel remediation as the shoot would have adequate root systems to support microbial community abundance [22].
In this study, we propose and evaluate a novel system for the rapid assessment of morphological superiority in shoots’ tolerance to diesel toxicity, produced through in vitro somaclonal mutation—a method for generating plants with extensive genetic variations. As described in [4], in vitro petunia plantlet lines and controls were deflasked and hardened off under glasshouse conditions. Screening shoots from the regenerated cell population that survived diesel exposure would provide beneficial information regarding the tolerance level of the petunia lines much faster than traditional phytoremediation screening methods. However, our study aligns with the overarching goal of phytoremediation screening methods, which aim to expedite the identification of the most tolerant plants within a specified timeframe. Therefore, the growth performance of petunia lines and controls was assessed by growing them in a potting mix spiked with diesel, and the total petroleum hydrocarbon depletion by the shoots around the root zones was also measured. Finally, the microbial density around the root zones of the shoots was investigated.

2. Materials and Methods

2.1. Plant Material

In this study, three groups of petunia shoots grown under in vitro conditions were exflasked and maintained under both mist tent beds and shade spaces in the greenhouse for growth assessment under glasshouse conditions: (a) petunia micropropagated shoots from seeds germinated in vitro (C-G), (b) lines of petunia shoots (L1, L2, L3, and L4) regenerated from diesel-exposed callus cultures, and (c) petunia shoots regenerated from non-diesel-exposed callus cultures (C-R) as described in [4]. Briefly, after 10–12 weeks of shoot propagation, 7 cm of the shoots were excised for an investigation into their growth performance in 0, 2, and 7% (w/w) diesel-spiked potting mixes (Daltons 40 L Big Value Potting Mix manufactured with Dalton’s unique blend of ingredients, including bark fibre, bark fines and coco fibre, controlled release fertilisers, wetting agent, and starter fertiliser; Daltons, Ruakaka, New Zealand) as described in [4].

2.2. Experimental Setup and Glasshouse Conditions

The experiments were conducted using a randomised complete block design (RCBD), with each treatment consisting of six replications. At the start of each experiment, 250 g of potting mix, either uncontaminated (0%) or contaminated with 2% or 7% diesel fuel, was placed into each pot (100 mm in diameter and 77 mm in height), and then one shoot was planted in the potting mix, following the procedure detailed in [4]. In a pot, the experimental layout was organised into three blocks (A, B, and C), following the RCBD methodology as described in [4]. This design ensured that the variability within the experimental environment was minimised and that the treatments were randomised to reduce potential bias.

2.3. Number of Leaves and Leaf Chlorosis Rating

After five weeks of shoot growth, at least three replicates in each of the treatments (potting mix without diesel fuel and those spiked with 2% and 7% diesel fuel) were randomly selected, and the leaves were counted and examined for chlorosis using a visual chlorosis score: 1 (green), 2 (slightly chlorotic), 3 (slightly green), 4 (chlorotic), and 5 (severely chlorotic) [23]. The purpose of this was to determine the mean number of leaves and to classify different chlorosis ratings of leaves from the shoots grown in the presence of different diesel concentrations.

2.4. Shoot Growth

At the beginning and the end of the experiment (5 weeks later), the diameter of the shoots was determined. The average height of the shoot cutting used was 7 cm long, with about 2 cm of the base of the cutting planted into the potting mix. The diameters of the cuttings were measured just about 2 cm above the surface of the potting mix using a ToolPRO 150 mm digital vernier caliper (Starrett, Athol, MA, USA). The average diameter was expressed in millimetres (mm).
At the end of the experiment, shoots were carefully removed from the potting mix using a mini digging fork, and any adhered potting mix on the shoots was removed. Signs of any roots were visually examined. The shoot heights of at least three replicates in each treatment were measured from the shoot base to the apical tip using a ruler, and the means were expressed in centimetres (cm).

2.5. Microbial Plate Counts

The potting mix for each of the three randomly selected replicate pots in the treatment controls was collected at the end of the experiment (5 weeks). For shoots that formed roots or those without root formation, the potting mix was removed directly from the roots or around part of the buried shoots, while for pots without shoots, the potting mix was taken randomly around a different part of the pot using a spatula that was cleaned with 70% ethanol after every sampling. The root regions or parts of shoots buried without root formation in the potting mix were regarded as “regions with high rhizosphere activities” [24]. All potting mix samples were placed in a sterilised glass container, labelled, capped, and placed on ice for transport to the lab from the glasshouse. The samples of the potting mix were stored at 4 °C until they were analysed for the total number of culturable microbial populations (plate counts). One gram of the potting mix was placed in a sterilised glass container with 9 mL of sterilised dH2O. The containers with the potting mix were shaken for 5 min. and allowed to settle for 1–2 min. before plating. If the samples settled for more than 5 min. before plating, the potting mix was resuspended by vortexing and allowed to settle again [24]. Serial dilutions of 10−3, 10−4, and 10−5 of the supernatants were spread on the plates (yeast extract–peptone–glucose agar plates). The composition of the agar medium was as follows: 0.5% yeast extract, 1.0% peptone, 1.0% glucose, and 1.5% agar [24]. Three replicates were made for each dilution. The plates were incubated at 26 °C for 36–48 h before the number of colony-forming units (CFUs) was counted.

2.6. Analysis of Diesel Content in Potting Mix

2.6.1. Ultrasonic Extraction (Method 3550C in [25])

Three replicates of about 1 g each of the potting mix were sampled randomly from a vegetated and unvegetated pot, and the potting mix was contaminated with 0%, 2%, and 7% diesel fuel (w/w) at the beginning and end of the experiment (5 weeks). One gram of anhydrous sodium sulphate (Na2SO4) was added to 1 g of the potting mix to chemically dry the potting mix [25]. Ten millilitres of tetrachloroethylene (C2Cl4) (analytical grade, Acros Organics, Antwerpen, Belgium) [1:10 M (sample)/V (solvent)] was added to the potting mix samples. Ultrasonic extraction (Elma Elmasonic, Model S30, Berlin, Germany) was performed for 30 min each time and repeated three times on each replicate [25]. Then the mixture was filtered using disposable 10 mL plastic syringes (ThermoFisher Scientific, Dreieich, Germany) and disposable 3.1 µM glass microfiber (ThermoFisher Scientific, Boston, MA, USA). The extract obtained was decanted into a glass vial and stored at 4 °C until gas chromatograph (GC) scan flame ionisation detector (FID) analysis.

2.6.2. Total Petroleum Hydrocarbon (TPH) Analysis

The extract was analysed in a GC equipped with a flame ionisation detector (GC-FID, Shimadzu QP-2010, Carlsbad, CA, USA) and an autosampler using a capillary column (Restek, Bellefonte, PA, USA; RTi-5Sil-ms, 30 min × 0.32 mm i.d. × 0.25 micron) with helium as the carrier gas. Column pressure was controlled to keep the linear velocity constant. The column temperature was held at 50 °C for 1 min and then ramped at 15 °C per minute to 320 °C and held at that temp for 10 min. Total petroleum hydrocarbons (TPHs) were analysed using the hydrocarbon standard. The hydrocarbon standard was made at the Department of Chemistry, University of Canterbury, New Zealand. One gram each of nonane, decane, dodecane, tetradecane, and hexadecane was mixed, and then 10 µL of the mixture was diluted with 1 mL of pentane. The TPHs in the diesel were determined and expressed as a percentage of residual TPHs in the diesel by the following equation:
Percentage residual = (final TPH)/(initial TPH) × 100

2.7. Statistical Analyses

All the experiments were repeated twice and conducted using a randomised complete block design with three replications in each treatment. Where data transformation was required, they were transformed before statistical analysis. Genstat for Windows 19th Edition and IBM SPSS (version 24) software were used to determine the analysis of variance (ANOVA) of data from the experiments. The mean difference between the independent replicates at the 5% level of significance was calculated, and the Fisher’s unprotected least significant difference (LSD) test was performed and presented as a measure of variability. All graphs were plotted using GraphPad Prism software Version 7.0.

3. Results

3.1. In Vitro Selected Versus Control Petunia Grandiflora Lines

3.1.1. Line L1

There was a significant increase in stem diameter of the L1 shoots over those of C-R and C-G grown in the non-diesel- and diesel-contaminated potting mixes after 5 weeks (Figure 1a). The number of leaves formed was reduced in the L1, C-R, and C-G shoots as the percentage of diesel in the contaminated potting mix was increased, but the C-G shoots had the lowest number of leaves (Figure 2a). Also, in the presence of 2% diesel, the C-R shoots formed the greatest number of leaves (Figure 2a). Leaf chlorosis was relatively more severe in the L1, C-G, and C-R shoots grown in the presence of 7% diesel fuel than in 0% and 2% diesel (Figure 3a). There was no significant difference in the shoot height of the L1, C-G, and C-R shoots grown in the potting mix spiked with 7% diesel compared to those in the potting mix without diesel. Among all the treatments, the L1 shoots exhibited the greatest shoot height of about 9 cm (Figure 4a).

3.1.2. Line L2

The L2 shoots exhibited the greatest stem diameter and the highest number of leaves compared with the C-R and C-G shoots grown in the presence of 2% and 7% diesel fuel for 5 weeks (Figure 1b). Leaf chlorosis was most severe in the shoots grown in the potting mix spiked with 7% diesel (Figure 3b). The L2 shoots appeared to be slightly chlorotic even at 0% diesel compared with the C-G and C-R shoots (Figure 3b). There was a slight difference in the shoot height of the L2, C-G, and C-R shoots grown in a potting mix spiked with 2% and 7% diesel compared with the control (Figure 4b). L2 exhibited the greatest shoot height of about 9 cm when grown in the absence of diesel (Figure 4b).

3.1.3. Line L3

The stem diameter of the L3, C-R, and C-G shoots decreased slightly with increasing levels of diesel in the potting mix (Figure 1c). The C-R shoots formed the highest number of leaves compared with the L3 and C-G shoots in the diesel-contaminated potting mix, while leaf formation in the L3 shoots seemed to be lower than for C-G in the presence of increasing levels of diesel (Figure 2c). The highest chlorosis scores were found in the leaves of the C-G, C-R, and L3 shoots when grown in the presence of 7% diesel (Figure 3c). The leaves of the C-R shoots were more chlorotic (slightly less green) than the L3 and C-G shoots grown in the potting mix spiked with 2% diesel (Figure 3c). There was a small decrease in the shoot height of the L3, C-G, and C-R shoots grown in the potting mix spiked with 2% and 7% diesel compared with those grown in the 0% diesel (Figure 4c). The L3 shoots exhibited the greatest shoot height of about 9 cm when grown in the absence of diesel (Figure 4c).

3.1.4. Line L4

Only the stem diameter of the L4 shoots was not affected by 2% and 7% diesel (Figure 1d). In terms of the number of leaves formed, the L4 was the least sensitive to the levels of diesel contamination trialed (Figure 2d). Leaf chlorosis was higher in the C-G, C-R, and L4 shoots grown in the potting mix spiked with 7% diesel than with the lower levels of diesel (Figure 3d). Roots were only formed here in the shoot cuttings of the L4 shoots grown in the potting mix spiked with or without 2% diesel fuel (Figure 5a). The number of roots formed in the L4 shoots seemed to be affected in the presence of increasing levels of diesel (Figure 5b). There was a slight but significant difference between the shoot heights of the L4 shoots and the controls (the C-G and C-R shoots) grown in the potting mixes with no added diesel or spiked with 2% diesel (Figure 4d).

3.2. Total Microbial Plate Count

The number of culturable microbial populations showed a very slight difference after 5 weeks of pot trials with the four experimental petunia lines and two controls. In the potting mix spiked with 0% and 2% diesel that were planted with the L4 shoots, there was a significantly greater number of culturable microbes than in the potting mix without any plants (Table 1). The number of total cultural microbial populations in the 2% diesel-contaminated potting mix used for growing the C-R or L3 shoots was slightly higher than that without any plants (Table 1). In the potting mix spiked with 7% diesel, the number of microbial counts was higher in the presence of the L1 and L3 shoots than in their absence (Table 1).

3.3. Total Petroleum Hydrocarbon Analyses

The residual percentage of the total petroleum hydrocarbons (TPHs) in both 2% and 7% diesel-contaminated potting mix at the start of the glasshouse trials was taken to be 100%. These declined drastically after 5 weeks (Table 2). However, there was no significant difference between the planted and unplanted pots in the residual percentage of TPHs of the potting mix initially spiked with 2% diesel (Table 2). In the 7% diesel-contaminated potting mix, the residual percentages of TPHs were higher in the presence of the L2 and L4 shoots (Table 2).

4. Discussion

The principal objective of this study was to investigate bioassay testing based on plant growth assessment for screening of putative diesel-tolerant petunia shoot lines. It has been suggested that a fast-screening method was preferable to a lengthy escape-free selection system [26,27]. A similar investigation, evaluating the phytoremediation potential of 14 ornamental plants in pots with petroleum-contaminated soil, was also reported [28]. The bioassay testing experiment was relatively short compared with the long and time-consuming traditional practice of phytoremediation screening of plants. The bioassay described in the present study was, nonetheless, consistent with the general aim of any phytoremediation screening method to identify the most tolerant plants within a selected time frame. In the present study, the bioassay was based on specific morphological differences between diesel-treated shoots and the control, including shoot growth parameters such as stem diameter, shoot height, number of leaves, root length, and leaf chlorosis to identify putative diesel-tolerant line(s). In the present study, the petunia shoot lines generated from diesel-treated calli showed relative tolerance to the diesel-contaminated potting mix. For example, when the shoots were grown in the potting mix with 2% diesel, the stem diameters of lines L1 and L4 were larger than those of lines L2 and L3. Notably, in similar studies, based on morphological features, the ornamental plant Mirabilis jalapa was considered to exhibit tolerance to 1% petroleum [11], and Sedum spectabile seedlings showed normal growth in 14.5 g/kg of petroleum hydrocarbon-contaminated soils [14].
Stem diameter is a relatively simple, non-destructive parameter for estimating water in the shoots or shoot cuttings [29]. The stem diameter of Betula papyrifera grown on copper and nickel-contaminated slag substrate was measured to probe water availability [30]. The results of the present study suggest that water content appeared to be higher in all the petunia shoot lines grown in potting mix without diesel than in potting mix contaminated with diesel. However, diesel toxicity in the potting mix may have been caused by the presence of the different combinations of elements or compounds found in diesel. PAHs have been reported to be higher in diesel and may elevate the bioavailability level of some metals in the potting mix [31,32]. It has been reported that a high concentration of lead (Pb) ions decreased the amount of diffusive (short-distance) water transport in young seedlings of Lupinus luteus roots, as there was a reduction in water transfer rate across the membranes and vacuoles (intercellular endoplasm system), as well as water diffusion along the apoplast [33]. Transmembrane transport permits about 75% to 95% of water flow through aquaporins (AQPs), also called water channel proteins [34]. However, it was demonstrated that zinc (Zn), Pb, Cd, and mercury (Hg) toxicity altered the conductivity function of AQPs in the epidermal cells of Allium cepa, which reduced the membrane water permeability [35]. The presence of toxic metals has suppressed the influx of water through AQPs [33]. One can, therefore, argue that the significant decrease in fresh and dry masses observed in [4] in the petunia shoot lines grown on 2% and 7% diesel-spiked potting mix compared with those grown without diesel might have been triggered by reduced uptake of water through water channel proteins [35]. It may have also interfered with the functionality of the photosynthesis process and disturbance in chloroplast metabolism, including reduction in chlorophyll biosynthesis and the activities of the enzymes involved in CO2 fixation in plants [36].
Here, the number of leaves formed in petunia shoot lines and the controls was highly sensitive to diesel levels in the potting mix. In the potting mix spiked with 7% diesel, the average number of leaves formed in the shoots was reduced by more than 50% compared with that formed in the shoots grown in the potting mix without added diesel. Presumably, there may have been an increase in the production of H2O2, protein oxidation, and level of lipid peroxidation that caused plasma membrane damage, as observed in Riccia fluitans plants exposed to phenanthrene (PHEN) [37]. For the oxidation of PAHs in the plasma membrane, nicotinamide adenine dinucleotide phosphate (NADPH) oxidase was involved [38]. There might be disturbance in chloroplastic or mitochondrial electron transport chains [37]. It is, therefore, reasonable to assume that the absence of root formation in some petunia shoot lines may have affected water nutrient absorption. As it was also reported in the case of Dioscorea bulbifera plants grown in soil contaminated with crude oil, a delay in the production of new leaves was observed [39]. In this study, it explained the correlation between the reduced number of leaves and increased diesel concentrations.
Visual symptoms such as leaf burns and necrosis on plants grown in diesel-contaminated soil have been used as indicators to assess the impact and tolerance in plants [6]. Also, in the study of an avirulent plant–pathogen interaction, necrotic lesions were used as an indication of a hypersensitive response (HR) and the defence mechanisms involved in local cell death to restrict the spread of the pathogen [40]. Among the experimental shoot lines and the controls, the C-R petunia shoots exhibited a severely chlorotic rating and were therefore more sensitive than the L1, L2, L3, L4, and the control C-G shoots when grown in a potting mix contaminated with 7% diesel. The leaves of the C-R shoots appeared to have a burnt appearance (pale yellowish leaves with yellowish edges or mid-ribs). It was also observed that leaf burning was associated with plants grown on diesel-contaminated soil, and the nature of the leaf burns varied from dominant at the leaf edges to covering the entire leaf, and sometimes the burn started at the leaf tips [6]. In a study of Arabidopsis thaliana (Arabidopsis) exposed to 0–0.5 µM of PHEN, the number of leaves with stress symptoms increased over time. Microscopic fluorescence analyses suggested that the white spots observed on the leaves were areas where PHEN or its derivatives had accumulated [38]. It was further suggested that necrotic lesions on the leaves were localised dead cells due to the defence mechanism triggered by endogenous fluorescent molecules in response to PHEN exposure, similar to a hypersensitive reaction (HR) [38].
In this study and other reports, there are no similar fluorescence analyses of different abiotic stress. In HR, fluorescent phenolic compounds were deposited in the cell wall [41], while the fluorescence of PHEN was distributed within the cytoplasm [38]. The L3 shoots, in contrast, were found to be more chlorosis sensitive than the other experimental shoot lines and control shoots when grown in a potting mix without diesel. Their leaves had a widespread bleached-looking appearance. Chlorotic leaves have been associated with reduced leaf expansion and size [42,43], but this was not found in the case of the L3 shoots.
In response to 0.6% diesel-contaminated soil, the growth of Pinus densiflora, Populus tomentiglandulosa, and Thuja orientalis plants was significantly reduced compared to the control [5]. In a similar study using diesel-contaminated soil, the growth of Spartina argentinensis declined more in the presence of diesel than in clean soil [44], which was in agreement with the finding in this study of petunia shoot lines. Diesel-contaminated potting mix negatively affected the shoot height of the experimental lines and control petunia shoots. For example, when grown in a potting mix without diesel or with 7% diesel, the shoot heights of the L3 shoots were about 9 cm and 7 cm, respectively. It has been observed that PAH contamination may not necessarily lead to the total shutdown of metabolic activities in plants because the expression levels of pathogenesis-related 1 genes (PR 1), considered housekeeping genes, were not disrupted by PHEN treatment in Arabidopsis. Instead, PAH contamination is specific to suppress the expression of a non-enzymatic protein, expansin [38]. Plant growth affected by the presence of diesel or some specific PAH fractions may be attributed to a reduction in cell division cell expansion frequency, or both [38]. In the histology of petunia calli exposed to diesel, more cells in the untreated petunia calli had prominent nuclei compared with the treated calli, indicative of a high rate of cell division [4]. The reported finding of a reduction in expansin expression further confirms that growth reduction in plants may be due to an inhibition of cell enlargement [38], because expansins are extracellular proteins attributed to a key functional role in cell wall stress relaxation and, thus, in cell and tissue growth [45]. The significant difference between the tested experimental petunia shoot lines and the control petunia shoots was the ability of L4 shoots to form an average of 13 roots per plant in the absence of diesel and an average of 8 roots per plant in a potting mix contaminated with 2% diesel. Currently, little is known about the diesel-tolerant mechanisms in plants. However, in an experiment using R. fluitans’ exposure to PHEN, for the plant to recover from or tolerate PHEN exposure, they must control ROS production and swiftly up-regulate their defence against oxidative damage [37]. This was shown by a significant increase in ascorbate and glutathione levels, as well as increased activities of the ascorbate-glutathione cycle [37]. In the same experiment, it was also reported that polyamine (PA) synthesis helps the recovery of R. fluitans exposed to PHEN, by increasing the activities of arginine decarboxylase (ADC) and S-adenosylmethionine decarboxylase (SAMDC) [37]. The critical step here is that increased PA synthesis reduces amino acid leakage and photosystem damage (higher Fv/Fm values) [37]. Presumably, the petunia line L4 tolerated the diesel stress by utilising the reported mechanism of R. fluitans to PHEN and decreasing the response time between the stress and the production of new roots [46]. Another interesting finding of the tolerant mechanism of PAHs in plants is that the marker gene of the systemic acquired resistance, PR1, was induced in PHEN-exposed Arabidopsis plants [38]. The induction of PR1 is regulated by salicylic acid (SA), which mediates defence responses against biotrophic pathogens ([47]).
However, a previous investigation reported inhibition of petunia root elongation in diesel-contaminated water [16]. A similar result was obtained here with the L4 shoots forming roots in the potting mix spiked with 2% but not that spiked with 7% diesel. It is reasonable to hypothesise that in the presence of 7% diesel, the L4 shoots were not able to control ROS production to a level that would interfere with root formation.
It is important to note that root formation and full root development are criteria for efficient phytoremediation [48]. In this pot trial, planting diesel-tolerant plants did not appear to influence TPH losses from the potting mix. Also, there was no significant difference between the planted and unplanted pots in the residual percentage of TPHs in the potting mix initially spiked with 2% diesel. Since only one petunia shoot was planted per pot, the leaves formed after 5 weeks were not enough to create a dense canopy to cover the surface area of the pot, which might have otherwise limited the volatile and PAH components of diesel from escaping. It has been reported that benzo[a]pyrene was absorbed by the aerial part of T. patula from the ambient air, possibly originally volatilised from the soils [10].
It has been reported that 0.75% diesel-contaminated substrate reduced the total biomass of Melilotus albus by 75% [49]. A similar study observed a lower production of total grass and legume biomass in diesel-contaminated soil than for the control [6]. In another study using diesel-contaminated soil, about 88% and 75% of the total shoot and root biomasses were reduced, respectively, relative to clean soil [5].
The lack of root formation in the experimental shoot lines (L1–L3) and the control shoots could be related to the very few variations found in the microbial population of the planted and unplanted potting mix, regardless of the level of diesel contamination. The presence of roots in plants is thought to play an important role in microbial abundance in many studies [50]. For example, in this study, higher counts of total culturable microbes than the control were only found in the pots of line L4 that formed roots. In another similar investigation, Altai wild rye (Elymus angustus Trin.) encouraged the growth of hundreds more endophytic hexane degraders than the unplanted control [19].
When plants were grown under contaminant-induced stress conditions, their roots produced a substantial amount of certain phenolic chemicals (e.g., salicylate), which could be inducers of microbial hydrocarbon degradation [51,52]. In most phytoremediation screening studies, the culturable microbial population in soils has been determined. Potting mix was used to estimate the cultural microbial counts in the present study, assuming that there may be less interference of inhabitant-microbial colonies in potting mix, which is considered a pristine medium compared to natural soil [53,54]. As was mentioned earlier in this study, the shoot lines tested did not form roots and accelerate total petroleum hydrocarbon (TPH) depletion in the used potting mix. The roots in shoot line L4 grown in a potting mix contaminated with 2% diesel did not cause a significant reduction in the TPHs of diesel after 5 weeks. This was probably because the root density was not high enough to extend fully over the potting mix. Root intensity and depth are the major contributors to increased remediation of TPHs of diesel [48].
The petunia line L4 outperformed the growth of the controls and other experimental plant lines under glasshouse conditions in a potting mix spiked with 2% diesel. The morphological characteristics of all the shoot lines and the controls were affected by 7% diesel. The ability to form roots only in line L4, when grown in the potting mix contaminated with 0% and 2% diesel, correlated with increased culturable microbial counts over those in the potting mix planted with the other shoot lines. Therefore, the L4 shoots seemed to be more tolerant to 2% diesel exposure than other shoot lines. It may be worthwhile to investigate the phytoremediation potential of line L4 grown in soil contaminated with diesel in future studies. In addition, it would also be important to evaluate if the L4 plants might have any unintended ecological impacts when planted in contaminated fields, although Petunia grandifolia is not known to be an invasive species or capable of producing natural toxins or allergens to mammals. The attractiveness of the L4 flowers to bees and other pollinators might also need to be evaluated as discussed before [55].
In conclusion, our findings support the feasibility of employing bioassay-based screenings for the rapid identification of plants with phytoremediation capabilities. This approach paves the way for more efficient and effective environmental remediation strategies. Furthermore, the study reveals that petunia shoot lines exhibit varied responses to diesel contamination. Specifically, certain lines demonstrate relative tolerance by maintaining growth parameters, such as stem diameter and shoot height, even in the presence of diesel. This tolerance is critical for phytoremediation efforts, suggesting the potential of using these plants to mitigate diesel pollution in soil. Since the bioassay was carried out under glasshouse conditions, any putative diesel-tolerant plant lines identified using the bioassay method must be confirmed under more complex and variable field conditions. Further research underway could also contribute valuable insights into the mechanisms underlying diesel tolerance in petunia shoot lines, highlighting the potential of ornamental plants in phytoremediation strategies to mitigate soil contamination.

Author Contributions

D.W.M.L. conceptualization, methodology, supervision, reviewing and editing; S.P.W. funding acquisition, methodology, investigation, writing—original draft preparation and review; H.A. data analysis and writing review. All authors have read and agreed to the published version of the manuscript.

Funding

Solomon Peter Wante received support through the Nigeria Government’s Tertiary Education Trust Fund (TET Fund) Scholarship PhD20152019.

Data Availability Statement

The datasets collected and analysed in this study are accessible upon reasonable request from the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. The stem diameters of Petunia grandiflora shoot cuttings of lines 1, 2, 3, and 4 [subfigures (a–d), respectively], and controls C-G and C-R in the four subfigures, were measured after 5 weeks of growth under glasshouse conditions. The average stem diameters at the beginning of each experiment were 3.3 mm. Values represent means ± SEM of three replicates in each of the experiments (1, 2, 3, and 4). Different letters among the treatments of different plant lines at diesel concentrations in an experiment indicate means that are significantly different from each other (LSD test, p < 0.05).
Figure 1. The stem diameters of Petunia grandiflora shoot cuttings of lines 1, 2, 3, and 4 [subfigures (a–d), respectively], and controls C-G and C-R in the four subfigures, were measured after 5 weeks of growth under glasshouse conditions. The average stem diameters at the beginning of each experiment were 3.3 mm. Values represent means ± SEM of three replicates in each of the experiments (1, 2, 3, and 4). Different letters among the treatments of different plant lines at diesel concentrations in an experiment indicate means that are significantly different from each other (LSD test, p < 0.05).
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Figure 2. The average number of leaves at the beginning of each experiment was 2. The average number of leaves of Petunia grandiflora shoot cuttings of lines 1, 2, 3, and 4 [subfigures (a–d), respectively], controls C-G and C-R in the four subfigures was determined after 5 weeks of growth under glasshouse conditions. Values represent means ± SEM of three replicates in each of the experiments (1, 2, 3, and 4). Different letters among the treatments of different plant lines at diesel concentrations in an experiment indicate means that are significantly different from each other (LSD test, p < 0.05).
Figure 2. The average number of leaves at the beginning of each experiment was 2. The average number of leaves of Petunia grandiflora shoot cuttings of lines 1, 2, 3, and 4 [subfigures (a–d), respectively], controls C-G and C-R in the four subfigures was determined after 5 weeks of growth under glasshouse conditions. Values represent means ± SEM of three replicates in each of the experiments (1, 2, 3, and 4). Different letters among the treatments of different plant lines at diesel concentrations in an experiment indicate means that are significantly different from each other (LSD test, p < 0.05).
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Figure 3. Visual chlorosis rating scores of Petunia grandiflora shoot cuttings of lines 1, 2, 3, and 4 [subfigures (a–d), respectively], and controls C-G and C-R in the four subfigures were determined after 5 weeks of growth under glasshouse conditions. Values represent means ± SEM of three replicates in each of the experiments (1, 2, 3, and 4). Different letters among the treatments of different plant lines at diesel concentrations in an experiment indicate means that are significantly different from each other (LSD test, p < 0.05).
Figure 3. Visual chlorosis rating scores of Petunia grandiflora shoot cuttings of lines 1, 2, 3, and 4 [subfigures (a–d), respectively], and controls C-G and C-R in the four subfigures were determined after 5 weeks of growth under glasshouse conditions. Values represent means ± SEM of three replicates in each of the experiments (1, 2, 3, and 4). Different letters among the treatments of different plant lines at diesel concentrations in an experiment indicate means that are significantly different from each other (LSD test, p < 0.05).
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Figure 4. The shoot height of Petunia grandiflora shoot cuttings from lines 1, 2, 3, and 4 [subfigures (a–d), respectively], as well as controls C-G and C-R in the four subfigures was measured after 5 weeks of growth under glasshouse conditions. The average shoot height at the beginning of each experiment was 7 cm. Values represent means ± SEM of three replicates in each of the experiments (1, 2, 3, and 4). Different letters among the treatments of different plant lines at diesel concentrations in an experiment indicate means that are significantly different from each other (LSD test, p < 0.05).
Figure 4. The shoot height of Petunia grandiflora shoot cuttings from lines 1, 2, 3, and 4 [subfigures (a–d), respectively], as well as controls C-G and C-R in the four subfigures was measured after 5 weeks of growth under glasshouse conditions. The average shoot height at the beginning of each experiment was 7 cm. Values represent means ± SEM of three replicates in each of the experiments (1, 2, 3, and 4). Different letters among the treatments of different plant lines at diesel concentrations in an experiment indicate means that are significantly different from each other (LSD test, p < 0.05).
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Figure 5. Root length [subfigure (a)] and the number of roots [subfigure (b)] of Petunia grandiflora shoot cuttings from line 4, C-G, and C-R were measured after 5 weeks of growth under glasshouse conditions. Values represent means ± SEM of three replicates in experiment 4. Different letters among the treatments of different plant lines at diesel concentrations indicate means that are significantly different from each other (LSD test, p < 0.05).
Figure 5. Root length [subfigure (a)] and the number of roots [subfigure (b)] of Petunia grandiflora shoot cuttings from line 4, C-G, and C-R were measured after 5 weeks of growth under glasshouse conditions. Values represent means ± SEM of three replicates in experiment 4. Different letters among the treatments of different plant lines at diesel concentrations indicate means that are significantly different from each other (LSD test, p < 0.05).
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Table 1. Number of culturable microbes in non-diesel- and diesel-contaminated potting mix with or without experimental plant materials.
Table 1. Number of culturable microbes in non-diesel- and diesel-contaminated potting mix with or without experimental plant materials.
% (w/w) of Diesel Contaminant in Potting MixPlant LinesTotal Counts (105 cfu/g)
5 Weeks		Plant LinesTotal Counts (105 cfu/g)
5 Weeks		Plant LinesTotal Counts (105 cfu/g)
5 Weeks		Plant LinesTotal Counts (105 cfu/g)
5 Weeks
PlantedUnplantedPlantedUnplantedPlantedUnplantedPlantedUnplanted
0C-G62 a57 aC-G49 a49 aC-G66 a53 aC-G68 a50 a
C-R56 a51 aC-R74 a59 aC-R66 a53 aC-R51 a51 a
L166 a55 aL258 a54 aL367 a51 aL496 b60 a
2C-G93 a84 aC-G99 b94 bC-G102 a80 aC-G85 a75 a
C-R100 a78 aC-R101 b87 bC-R107 a95 bC-R70 a67 a
L188 a82 aL269 a65 aL399 a87 abL4120 b83 a
7C-G146 a143 bC-G138 ab116 aC-G113 a123 aC-G144 a137 a
C-R130 a123 aC-R158 b141 bC-R149 ab143 aC-R124 a117 a
L1173 b129 aL2115 a111 aL3154 b139 aL4115 a137 a
Means of three replicates in a column and row followed by the same letters are not statistically different according to the LSD test, p < 0.05. Note: C-G are control shoot cuttings from seed germinated in vitro; C-R are control shoot cuttings from shoots regenerated from non-diesel-exposed callus cultures and lines of shoots; L1–L4 are regenerated from diesel-exposed callus cultures.
Table 2. Total petroleum hydrocarbons (% TPHs) in diesel-contaminated potting mix with or without experimental plant materials.
Table 2. Total petroleum hydrocarbons (% TPHs) in diesel-contaminated potting mix with or without experimental plant materials.
% (w/w) of Diesel Contaminant in Potting MixPlant Lines% of Residual TPHs after 5 WeeksPlant Lines% of Residual TPHs after 5 WeeksPlant Lines% of Residual TPHs after 5 WeeksPlant Lines% of Residual TPHs after 5 Weeks
PlantedUnplantedPlantedUnplantedPlantedUnplantedPlantedUnplanted
2C-G14.2 (±0.8) a14.6 (±1.2) aC-G17.3 (±1.0) a21.5(±2.9) aC-G19.0 (±3.4) a20.1 (±2.1) aC-G19.3 (±1.5) a19.7 (±1.4) a
C-R14.6 (±1.4) a18.3 (±1.0) aC-R16.6 (±1.4) a18.1 (±1.4) aC-R15.5 (±0.9) a17.1 (±2.5) aC-R15.3 (±1.8) a16.5 (±0.9) a
L116.5 (±1.0) a20.5 (±1.4) aL218.8 (±0.8) a21.5 (±1.4) aL316.0 (±2.7) a16.5 (±1.7) aL417.2 (±2.8) a17.0 (±0.9) a
7C-G57.9 (±2.0) b57.2 (±3.7) bC-G50.0 (±4.5) bc46.2 (±4.8) bC-G50.9 (±4.2) b49.8 (±3.9) bC-G51.4 (±1.4) b46.7(±2.8) b
C-R50.3 (4.1) b51.4 (±3.2) bC-R46.8 (±1.4) b50.1 (±6.7) bC-R50.4 (±1.8) b51.0 (±3.0) bC-R49.8 (±2.1) b51.7 (±4) bc
L156.6 (±3.4) b59.0 (±2.9) bL255.4 (±2.3) c57.2 (±4.8) bL349.2(±2.6) b49.4 (±1.8) bL450.2 (±2.2) b55.5 (±2.2) c
Means ± SEM of three replicates in a column and row followed by the same letters are not statistically different according to the LSD test, p < 0.05. Note: C-G are control shoot cuttings from Petunia grandiflora seed germinated in vitro; C-R are control shoot cuttings from Petunia grandiflora shoot regenerated from non-diesel-exposed callus culture; and Petunia grandiflora shoot lines L1–L4 are regenerated from diesel-exposed callus culture.
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Wante, S.P.; Leung, D.W.M.; Alizadeh, H. Varying Tolerance to Diesel Toxicity Revealed by Growth Response Evaluation of Petunia grandiflora Shoot Lines Regenerated after Diesel Fuel Treatment. Agriculture 2024, 14, 1562. https://doi.org/10.3390/agriculture14091562

AMA Style

Wante SP, Leung DWM, Alizadeh H. Varying Tolerance to Diesel Toxicity Revealed by Growth Response Evaluation of Petunia grandiflora Shoot Lines Regenerated after Diesel Fuel Treatment. Agriculture. 2024; 14(9):1562. https://doi.org/10.3390/agriculture14091562

Chicago/Turabian Style

Wante, Solomon Peter, David W. M. Leung, and Hossein Alizadeh. 2024. "Varying Tolerance to Diesel Toxicity Revealed by Growth Response Evaluation of Petunia grandiflora Shoot Lines Regenerated after Diesel Fuel Treatment" Agriculture 14, no. 9: 1562. https://doi.org/10.3390/agriculture14091562

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