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ORIGINAL RESEARCH article

Front. Plant Sci., 08 August 2023
Sec. Crop and Product Physiology

Fusarium solani infection disrupts metabolism during the germination of roselle (Hibiscus sabdariffa L.) seeds

  • 1Department of Agriculture, Minab Higher Education Center, University of Hormozgan, Bandar Abbas, Iran
  • 2Department of Chemistry, Chonnam National University, Gwangju, Republic of Korea
  • 3Department of Botany, University of Innsbruck, Innsbruck, Austria
  • 4Graduate School of Biomedical Science, Department of Cellular & Molecular Medicine, School of Medicine, Chosun University, Gwangju, Republic of Korea

Fungal infections adversely influence the production and quality of seeds. Previously, Fusarium solani was reported as the causal agent of roselle (Hibiscus sabdariffa L.) seed rot. This study was designed to evaluate the effect of F. solani infection on the germination, biochemical composition, energy reserves, and antioxidant activity of roselle seeds because there is currently a lack of information on the relationship between seed metabolism and infection with F. solani. The results showed that roselle seeds infected with F. solani exhibited a ca. 55% reduction in overall germination. Additionally, the fungal infection decreased antioxidant activity, total phenolic content, protein, sugar (sucrose, fructose, and glucose), and some amino acid (glutamine, serine, and arginine) contents. In contrast, some metabolites were more abundant in infected seeds, including alanine (2.1-fold) and some fatty acids (palmitic acid and heptadecanoic acid by 1.1- and 1.4-fold, respectively). The infection-associated changes in fatty acid profile resulted in the ratio of unsaturated/saturated fatty acids being 2.1-fold higher in infected seeds. Therefore, our results reveal that F. solani infection remarkably altered the biochemical composition of roselle seeds, which may have contributed to the loss of germination and quality of roselle seeds.

1 Introduction

The tropical plant roselle (Hibiscus sabdariffa) belongs to the Malvaceae family and is used for a variety of therapeutic purposes in traditional medicine (Nyam et al., 2014), in agreement with its exhibiting a variety of medicinal and nutritional properties (Riaz and Chopra, 2018). In Africa, roselle seeds are ground into meals for human consumption and also roasted as a coffee alternative (Mohd-Esa et al., 2010). A great source of nutritional fiber is also found in roselle seeds, and the addition of roselle seed powder to cookies enhances their antioxidant capabilities (Nyam et al., 2014). Furthermore, it has also been shown that roselle seeds contain rich sources of antioxidants, proteins, carbohydrates, and fatty acids, which may be employed in the food industry (Mohd-Esa et al., 2010; Cissouma et al., 2013; Peng et al., 2020).

Seeds are one of the most significant sources of food with vital nutrients such as lipids, carbohydrates, and proteins (Aguirre et al., 2018). Roselle seeds maintain a significant amount (ca. 17% of dry weight) of storage reserves as oil (Mohamed et al., 2007). Further to their use as energy reserves, fatty acids are utilized during plant defense against pathogens (e.g., for the production of jasmonates), seed germination, and seedling establishment (Kachroo and Kachroo, 2009; Chen et al., 2012; Shrestha et al., 2016). Phenolic compounds also play vital roles in seed germination, development, and resistance against biotic and abiotic stresses (Corso et al., 2020). Seed storage proteins are considered storage reserves for sulfur, carbon, and nitrogen for germinating seedlings (Krishnan and Coe, 2001). Amino acids can contribute to seed energy reserves and provide precursors for protein synthesis and the production of secondary metabolites (Amir et al., 2018). Carbohydrates are also one of the key energy sources and play a significant role in seed development (Aguirre et al., 2018).

A wide number of plant pathogens infect roselle plants, weakening the plants in the field and spoiling seeds during storage, resulting in a reduction in seed yield and seedling vigor, respectively (Mcclintock and El-Tahir, 2004; Goko et al., 2021). It has been estimated that seed diseases cause severe losses (more than 40%) of harvested seeds (Tsai and Ou, 1996). Moreover, infected seeds could disseminate primary fungal infection sources to new hosts and locations (Agarval and Sinclair, 1987). It has also been demonstrated that mold infections decrease the nutrient content of seeds (Jun-Cai et al., 2015; Deng et al., 2022). Among fungi, Fusarium species were found to infect and economically damage a wide number of plants (Dusengemungu, 2021; Wang et al., 2021). It has also been shown that Fusarium solani is the major pathogen in roselle that could cause wilt disease (Hassan et al., 2014; Wang et al., 2021). Previously, F. solani was shown to be the causal agent of roselle seed rot in Iran (Tahmasebi et al., 2023). Moreover, to the best of our knowledge, there is no report on the effect of fungal infection on the biochemical composition and germination of roselle seeds. Therefore, this study investigated how F. solani influences seed germination. We hypothesized that fungal infections disrupt seed metabolism associated with energy reserves and antioxidant activity of roselle seeds, which may help partially explain the influence of the fungi on seed germination.

2 Materials and methods

2.1 Plant materials and treatments

Roselle seeds were harvested from a research field (longitude and latitude of 57.092371 and 27.091311 and 32 m elevation) at the Minab Higher Education Center, Iran, in April 2021 and kept at 4°C. The average temperature of the location was between 11°C and 39°C. Intact seeds were weighed, and the seeds with similar weight and size were selected. The surface of roselle seeds was sterilized with sodium hypochlorite (1%) solution for 10 min and then rinsed with sterile distilled water. Based on morphological and molecular traits, F. solani was previously determined as the causal agent of roselle seed rot (Tahmasebi et al., 2023). Treatments were divided into two groups under the same conditions: F. solani-infected (infected) and control (not treated with the fungus) seeds. For infection, dry seeds were inoculated with a 10-day pure culture of F. solani. Control and fungus-coated seeds were kept on sterile filter paper in Petri dishes and incubated at room temperature. For infected seeds, fungal mycelium could be used to cover the roselle seeds. The germination percentage of both treatments was checked daily and ended when no more seeds had germinated for three consecutive days. The seeds were considered to have germinated when the radicles reached a length of >2 mm. The experiment was performed with three biological replications, each containing 12 seeds.

2.2 Preparation of extracts

F. solani-infected and control seeds were freeze-dried (Dena Vacuum Industry Co., 5005, Tehran, Iran) and then ground with mortar and pestle. The samples were stored at −20°C for further analysis.

2.3 Antioxidant activity

Powdered seed samples were extracted with 80% (v/v) methanol for 1 h at room temperature using a shaker (KS 260 basic, IKA, Janke & Kunkel, Staufen, Germany). The ratio of seed material to 80% methanol was 0.1% (w/v) and filtered through Whatman filter paper before measurement. For measurement, 1 mL of 1 mM 2,2-diphenyl-1-picrylhydrazyl (DPPH) dissolved in 80% (v/v) methanol was added to 5 mL of seed extract. For control, 5 mL of 80% methanol was used instead of a seed extract. All samples were incubated at room temperature in the dark for 30 min, and their absorbance values were measured at 517 nm (Mohd-Esa et al., 2010) using the spectrophotometer (DR3900, Hach, Germany). The percentage of antioxidant activity was computed according to the formula.

Percentage of   antioxidant activity (%) was calculated as=   [(Ac As)÷Ac] × 100

whereby Ac represents control absorbance and As shows sample absorbance.

2.4 Measurement of total phenolic content

Total phenolic content was determined with Folin–Ciocalteu assay (Mohd-Esa et al., 2010) in 0.2 mL of each sample extract (1 mg mL−1 in 80% methanol) with 1 mL of a 10-fold dilution of Folin–Ciocalteu reagent and 0.8 mL of bicarbonate solution (7.5% (w/v)). The mixtures were kept at room temperature for 30 min, and their absorbance was checked at 765 nm using a spectrophotometer (DR3900, Hach Lange, Düsseldorf, Germany). The standard curve was obtained using the preparation of gallic acid concentrations (0.00625, 0.0125, 0.025, 0.05, and 0.1 mg mL−1) in 80% methanol.

2.5 Total protein assay

For each sample, ground seed samples were homogenized (1:10) in the extraction buffer (50 mM Tris HCl [pH 8] and 2-mercaptoethanol (2%). The homogenates were vortexed, shaken for 1 h, and centrifuged (PIT320 R, Pole Ideal Tajhiz Co., Tehran, Iran) for 5 min at 12,000 rpm at 4°C. The Bradford reagent was combined with 0.1 mL of supernatant. The homogenates were vortexed and kept at room temperature for 10 min, before measuring absorbance at 595 nm using a spectrophotometer (DR3900, Hach, Germany) and quantified against a standard curve of bovine serum albumin concentrations (50, 100, 200, 300, and 400 µg mL−1).

2.6 Free amino acid analysis by LC-MS/MS

For each sample, 2 g of seed powder was homogenized with 25 mL of 0.1 N hydrochloric acid solution (HCl). The extract was centrifuged at 13,000 rpm for 15 min at 4°C. LC-MS/MS analysis was performed on a Waters TQ-MS (Singapore) system. Chromatography was performed using a C18 column (Kinetex 1.7 µm, 2.1 mm × 100 mm) at a temperature of 38°C with 5 mM ammonium acetate (mobile phase A) and acetonitrile with 0.1% formic acid and 95% methanol in water with 0.1% formic acid (mobile phase B), at a rate of 0.3 mL min−1. The sample injection volume was 3 μL. The separation was achieved with a total analysis time of 20 min. Amino acid concentrations were calculated according to the direct comparison of analyte peak areas relative to the standards. The mixture of 17 amino acid standard solution (Supelco, Bellefonte, PA, USA) was used in this study.

2.7 Fatty acid analysis by GC-MS

For each sample, 500 mg of ground seed powder was treated with 10 mL of methanol/acetyl chloride (95:5, v/v) solution. The mixture was heated at 80°C for 1 h, then cooled, and 5 mL of double-distilled water was added. The mixture was thoroughly shaken for 5 min. The mixture received 1 mL of hexane and was shaken for 5 min. Afterward, 1 mL of hexane was added again to the mixture before centrifugation at 5,000×g at room temperature for 5 min. The supernatant (hexane layer) contained fatty acid methyl esters (FAMES), of which 1 µL was injected with the split ratio (1:8). The GC system (Beifen, 3420A, Beijing, China) was outfitted with a flame ionization detector, a split/splitless injector, and a BPX70 bis-cyanopropyl siloxane-sil phenylene capillary column (30 m × 0.25 mm internal diameter and 0.25 µm film thickness) to examine the fatty acid composition. After holding the column temperature at 140°C for 5 min, it was raised to 180°C at a rate of 20°C min−1. Following a 9-min hold at 180°C, the temperature was increased to 200°C at a 20°C min−1 rate. The temperature of 200°C was maintained for 3 min. The injector and detector were set to operate at 250°C and 300°C, respectively. The carrier gas used was nitrogen. Fatty acid standards processed and injected under the same operating circumstances were used to identify the fatty acids in the samples. Individual FAMEs were quantitatively calculated by determining their relative peak area of total peak areas.

2.8 Sugar (sucrose, fructose, and glucose) analysis by HPLC

For each sample, 1 g was homogenized with 15 mL of distilled water and then placed in ultrasonic bath water (Ultrasonic Bath DT 31 H, 35 kHz, BANDELIN Electronic, Berlin, Germany) at 35°C for 15 min and vortexed every 5 min. The homogenate was centrifuged at 10,000 rpm for 5 min, and the supernatant was filtered using a 0.45-μm-pore-size filter. Identification and quantification of sugars were conducted through an HPLC system (Knauer, Berlin, Germany) comprising a P1000 pump and a refractive index (RI) 2300 detector to monitor eluted soluble sugars. Seed extracts (20 μL) were injected into a Eurokat PB column with an inner diameter of 300 mm × 10 mm and a particle size of 10 μm (Knauer, Germany). The mobile phase was HPLC-grade water with 1 mL min−1 flow rate at 65°C.

2.9 Statistical analysis

An independent sample t-test was performed to compare significant differences between two treatments (infected and noninfected seeds) using SPSS (version 21) at p< 0.05 significance level (two-tailed).

3 Results and discussion

3.1 The influence of fungal infection on seed germination

The total germination of infected roselle seeds was 21%, compared to noninfected seeds that had a total germination of 76% (Figures 1, 2A). Fungal infections with Alternaria alternata have been shown to hinder the germination of carrot seeds (Zhang et al., 2020), while seed-borne fungi decrease the germination, growth, and yield characteristics of beans (Marcenaro and Valkonen, 2016). Also, different species of Aspergillus reduced seed germination (Ibraheem et al., 1987; Garuba et al., 2014), and Penicillium chrysogenum decreased the germination of maize seeds (Garuba et al., 2014). In another study, the effect of different fungal isolates was tested on seed germination, and the findings highlighted that some Fusarium spp. could remarkably reduce seed germination (Kirkpatrick and Bazzaz, 1979). The inhibition of seed germination might be attributed to the toxic metabolites of fungi (Tylkowska et al., 2003; Garuba et al., 2014). However, seed germination is a highly regulated phenomenon that involves the coordination of many physiological and biochemical processes (Parihar et al., 2015; Tuan et al., 2019). Metabolic pathways involving sugars, amino acids, lipids, and antioxidant defenses are integral to seed germination (Guo et al., 2021; Liu et al., 2021), which may be altered by fungal infection and help explain the effect on seed germination, as described below. It has also been shown that changes in seed reserve composition can influence seed germination (Zhao et al., 2018). In addition, seed imbibition could activate a variety of germination-related biochemical processes that may result in energy reserve hydrolysis into simple forms for embryo uptake (Ali and Elozeiri, 2017). However, the findings of another study revealed that protein and fat reserves were not significantly correlated with seed germination, while soluble sugar and protein contents were positively related to seed germination in six species (Zhao et al., 2018).

FIGURE 1
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Figure 1 Photographs of noninfected (A) and infected seeds (B) by Fusarium solani.

FIGURE 2
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Figure 2 Comparison of total germination (A), antioxidant activity (B), protein content (C) and total phenolic content (D) between non-infected and infected treatments. Asterisk indicates a statistically significant effect (t-test at P < 0.05).

3.2 Total phenolic content and antioxidant activity

It has been demonstrated that phenolic acids play a key role in seed development and germination and also contribute to the protection of seeds against pathogens (Granger et al., 2011; Corso et al., 2020). Our results showed that fungal infection decreased the antioxidant activity and total phenolic content of roselle seeds (Figures 2B, D). Our findings are in agreement with previous studies, which demonstrated that brown spot infection of rice caused by Helminthosporium oryzae as a seed-borne fungus decreased plant phenolic content and suppressed the phenol metabolism by producing toxins that aided fungal colonization (Pandey, 2018). Also, infection with Sclerotium rolfsii decreased the phenolic content in Arachis hypogea (Cardoza et al., 2003). In plants, the defense function of phenolic compounds is partially attributed to their antioxidant properties (Lattanzio, 2013; Krõl et al., 2014). A significant correlation between the total phenolic content and antioxidant activity of plants has been found (Cai et al., 2004; Djeridane et al., 2006). Therefore, the reduction of the phenolic contents of roselle seeds with high levels of infection could have decreased antioxidant activity and weakened the defenses of infected seeds.

3.3 Total protein and free amino acid content

Amino acids typically accumulate during seed germination (Gerna et al., 2018), in agreement with higher levels of glutamine, serine, and arginine in noninfected seeds (Figures 2C, 3). The expression of glutamine synthetase is upregulated during seed germination in plants (Guan et al., 2015), which agrees with higher glutamine contents in noninfected seeds with higher total germination. Serine contributes to the plant’s response to stress and the formation of the phospholipids required for signal transduction in plants (Waditee et al., 2007; Kishor et al., 2020). Additionally, arginine plays an important role in plant tolerance to stress and contributes to various cellular, physiological, and developmental processes (Matysiak et al., 2020; Hussein et al., 2022). Arginine is also the precursor of nitric oxide and polyamine biosynthesis, which act as key messengers in growth, development, biochemical and physiological processes, and plant adaptation to stress (Yang and Gao, 2007). Amino acid metabolism provides defense compounds, nutrients, and signaling molecules during plant–microbe interaction (Moormann et al., 2022). In contrast to noninfected seeds having generally higher amino acid contents, infected seeds had significantly higher alanine concentrations (2.13-fold) compared to noninfected seeds. Plant-secreted proteins are essential to the plant’s defense against pathogens (Gupta et al., 2015). Our results are similar to studies that showed biotic and abiotic stresses elevate alanine content in plants (Kaplan et al., 2004; Rizhsky et al., 2004; Broeckling et al., 2005; Parthasarathy et al., 2019). Alanine is a defense compound that acts to protect plants from biotic and abiotic stresses (Parthasarathy et al., 2019) and may help seeds fight fungal infection.

FIGURE 3
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Figure 3 Comparison of amino acid content (mg AA g−1 sample) between noninfected and infected seeds. Different letters present a significant difference in each amino acid between noninfected and infected seeds, while similar letters indicate nonsignificant differences (t-test at p< 0.05).

3.4 Fatty acid content

In the present study, nine FAs were found in the noninfected and infected roselle seeds, with linoleic, oleic, and palmitic acids constituting the major fatty acids in roselle seeds (Table 1). The results showed that the concentration of palmitic and heptadecanoic acids was higher (1.13- and 1.4-fold) in infected seeds, whereas linoleic acid was elevated (1.17-fold) in the noninfected seeds compared to infected ones (Table 1). Fatty acid metabolic pathways contribute to plant defense against pathogens (Kachroo and Kachroo, 2009). Changes in fatty acid composition might influence the seed’s response to the fungal infection. However, fungal infection employs different strategies to subvert plant defense responses by altering plant physiology, which results in fungal colonization of seeds. They use these strategies to hijack, evade, or counteract plant defense responses to complete the life cycle and produce viable progeny. The main fungal strategies for inhibiting plant defense responses include subverting reactive oxygen species (ROS) damage, manipulating tissue pH, inhibiting host proteases, and subverting hormone signaling (Rodriguez-Moreno et al., 2018).

TABLE 1
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Table 1 Fatty acid composition (%) of noninfected and infected treatments.

Saturated fatty acids were relatively higher (1.13-fold) in the infected roselle seeds, while unsaturated fatty acids were relatively higher (1.05-fold) in the noninfected seeds. Thus, the ratio of unsaturated to saturated fatty acids was significantly different when comparing noninfected and infected seeds (2.54- and 2.13-fold, respectively). This is potentially related to the seed–fungus interaction leading to oxidative bursts of ROS oxidizing the polyunsaturated fatty acids (e.g., linolenic and linoleic acid). In turn, this would influence the quality of seed oil.

3.5 Sugar contents

Sucrose, fructose, and glucose contents were lower in infected roselle seeds compared to noninfected seeds (Figure 4). Sugars play a key function in plant defense responses and the immune system’s defense against fungal pathogens (Morkunas and Ratajczak, 2014). Fungi reduce the level of sugars through their uptake and consumption for energy and structural purposes (Morkunas and Ratajczak, 2014). Our results are in agreement with another study, which showed that the infection of Sclerotinia sclerotiorum reduced the levels of sucrose, fructose, and glucose during cotyledon infection of sunflower (Jobic et al., 2007). In addition, the sugar content decreased during tomato–Botrytis cinerea interaction (Berger et al., 2004). It was also demonstrated that sporulation of Puccinia triticina showed a competitive priority for assimilation in wheat (Bancal et al., 2012). The degradation of storage reserves is vital for the germination of mature seeds, and the sugars obtained from the hydrolysis of starch are the main energy source for seedling emergence (Beck and Ziegler, 1989). It has also been shown that carbohydrates and proteins are required to provide energy and substrates for the seed germination of Polygonatum cyrtonema (Liu et al., 2021). Therefore, the low germination in infected roselle seeds may be explained by the decreased availability of sugars and proteins.

FIGURE 4
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Figure 4 Comparison of carbohydrate content (mg g−1 of dry weight) between noninfected and infected seeds. Different letters present a significant difference in each amino acid between noninfected and infected treatments, while similar letters indicate nonsignificant differences (t-test at p < 0.05).

4 Conclusion

In this study, the chemical composition and energy reserves of roselle seeds were analyzed during F. solani infection. F. solani infection deteriorated the quality of roselle seeds, reduced total germination, and altered the chemical composition, including energy reserves of seeds. The biochemical changes, such as lowered sugar and amino acid availability, induced by the fungal infection could interfere with the requirements of the seed during germination, leading to lowered seed vigor and less germination. In this study, the fungal infection decreased antioxidant activity, total phenolic content, protein, sugar, and some amino acid (glutamine, serine, arginine) contents. Therefore, these changes in the chemical composition of roselle seeds caused by F. solani infection may negatively influence the germination of roselle seeds.

Data availability statement

The original contributions presented in the study are publicly available. This data can be found here: Figshare, https://figshare.com/, doi: 10.6084/m9.figshare.23244140 and doi: 10.6084/m9.figshare.23244137.

Author contributions

AT designed and performed the experiments. AT, TR, SYS, and CWL wrote and edited the article. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, and Forestry (IPET) through the Agricultural Machinery/Equipment Localization Technology Development Program, the Ministry of Agriculture, Food, and Rural Affairs (MAFRA-321057052HD030 to CWL).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Agarval, V., Sinclair, J. (1987). Principles of Seed Pathology Vol. II (Boca Raton, Florida, USA: CRC Press, Inc.).

Google Scholar

Aguirre, M., Kiegle, E., Leo, G., Ezquer, I. (2018). Carbohydrate reserves and seed development: An overview. Plant Reprod. 31, 263–290. doi: 10.1007/s00497-018-0336-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Ali, A. S., Elozeiri, A. A. (2017). Metabolic processes during seed germination. Adv. seed Biol. 2017, 141–166. doi: 10.5772/intechopen.70653

CrossRef Full Text | Google Scholar

Amir, R., Galili, G., Cohen, H. (2018). The metabolic roles of free amino acids during seed development. Plant Sci. 275, 11–18. doi: 10.1016/j.plantsci.2018.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Bancal, M.-O., Hansart, A., Sache, I., Bancal, P. (2012). Modelling fungal sink competitiveness with grains for assimilates in wheat infected by a biotrophic pathogen. Ann. Bot. 110, 113–123. doi: 10.1093/aob/mcs094

PubMed Abstract | CrossRef Full Text | Google Scholar

Beck, E., Ziegler, P. (1989). Biosynthesis and degradation of starch in higher plants. Annu. Rev. Plant Biol. 40, 95–117. doi: 10.1146/annurev.pp.40.060189.000523

CrossRef Full Text | Google Scholar

Berger, S., Papadopoulos, M., Schreiber, U., Kaiser, W., Roitsch, T. (2004). Complex regulation of gene expression, photosynthesis and sugar levels by pathogen infection in tomato. Physiologia Plantarum 122, 419–428. doi: 10.1111/j.1399-3054.2004.00433.x

CrossRef Full Text | Google Scholar

Broeckling, C. D., Huhman, D. V., Farag, M. A., Smith, J. T., May, G. D., Mendes, P., et al. (2005). Metabolic profiling of Medicago truncatula cell cultures reveals the effects of biotic and abiotic elicitors on metabolism. J. Exp. Bot. 56, 323–336. doi: 10.1093/jxb/eri058

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, Y., Luo, Q., Sun, M., Corke, H. (2004). Antioxidant activity and phenolic compounds of 112 traditional Chinese medicinal plants associated with anticancer. Life Sci. 74, 2157–2184. doi: 10.1016/j.lfs.2003.09.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Cardoza, Y. J., Lait, C. G., Schmelz, E. A., Huang, J., Tumlinson, J. H. (2003). Fungus-induced biochemical changes in peanut plants and their effect on development of beet armyworm, Spodoptera exigua Hübner (Lepidoptera: Noctuidae) larvae. Environ. entomology 32, 220–228. doi: 10.1603/0046-225X-32.1.220

CrossRef Full Text | Google Scholar

Chen, M., Wang, Z., Zhu, Y., Li, Z., Hussain, N., Xuan, L., et al. (2012). The effect of TRANSPARENT TESTA2 on seed fatty acid biosynthesis and tolerance to environmental stresses during young seedling establishment in Arabidopsis. Plant Physiol. 160, 1023–1036. doi: 10.1104/pp.112.202945

PubMed Abstract | CrossRef Full Text | Google Scholar

Cissouma, A. I., Tounkara, F., Nikoo, M., Yang, N., Xu, X. (2013). Physico chemical properties and antioxidant activity of roselle seed extracts. Advance J. Food Sci. Technol. 5, 1483–1489. doi: 10.19026/ajfst.5.3371

CrossRef Full Text | Google Scholar

Corso, M., Perreau, F., Mouille, G., Lepiniec, L. (2020). Specialized phenolic compounds in seeds: structures, functions, and regulations. Plant Sci. 296, 110471. doi: 10.1016/j.plantsci.2020.110471

PubMed Abstract | CrossRef Full Text | Google Scholar

Deng, J.-C., Li, X.-M., Xiao, X.-L., Wu, H.-J., Yang, C.-Q., Long, X.-Y., et al. (2022). Field mold stress induced catabolism of storage reserves in soybean seed and the resulting deterioration of seed quality in the field. J. Integr. Agric. 21, 336–350. doi: 10.1016/S2095-3119(20)63594-8

CrossRef Full Text | Google Scholar

Djeridane, A., Yousfi, M., Nadjemi, B., Boutassouna, D., Stocker, P., Vidal, N. (2006). Antioxidant activity of some Algerian medicinal plants extracts containing phenolic compounds. Food Chem. 97, 654–660. doi: 10.1016/j.foodchem.2005.04.028

CrossRef Full Text | Google Scholar

Dusengemungu, L. (2021). “Fusarium soilborne pathogen,” in Fusarium-an overview of the genus (London, UK: IntechOpen).

Google Scholar

Garuba, T., Abdulrahaman, A., Olahan, G., Abdulkareem, K., Amadi, J. (2014). Effects of fungal filtrates on seed germination and leaf anatomy of maize seedlings (Zea mays L., Poaceae). J. Appl. Sci. Environ. Manage. 18, 662–667. doi: 10.4314/jasem.v18i4.15

CrossRef Full Text | Google Scholar

Gerna, D., Roach, T., Arc, E., Stoggl, W., Limonta, M., Vaccino, P., et al. (2018). Redox poise and metabolite changes in bread wheat seeds are advanced by priming with hot steam. Biochem. J. 475, 3725–3743. doi: 10.1042/BCJ20180632

PubMed Abstract | CrossRef Full Text | Google Scholar

Goko, M., Murimwa, J., Gasura, E., Rugare, J., Ngadze, E. (2021). Identification and characterisation of seed-borne fungal pathogens associated with maize (Zea mays L.). Int. J. Microbiol. 2021, 1–11. doi: 10.1155/2021/6702856

CrossRef Full Text | Google Scholar

Granger, K. L., Gallagher, R. S., Fuerst, E. P., Alldredge, J. R. (2011). Comparison of seed phenolic extraction and assay methods. Methods Ecol. Evol. 2, 691–698. doi: 10.1111/j.2041-210X.2011.00120.x

CrossRef Full Text | Google Scholar

Guan, M., Múller, I., Schjoerring, J. (2015). Two cytosolic glutamine synthetase isoforms play specific roles for seed germination and seed yield structure in Arabidopsis. J. Exp. Bot. 66, 203–212. doi: 10.1093/jxb/eru411

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, H., Lyv, Y., Zheng, W., Yang, C., Li, Y., Wang, X., et al. (2021). Comparative metabolomics reveals two metabolic modules affecting seed germination in rice (Oryza sativa). Metabolites 11, 880. doi: 10.3390/metabo11120880

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, R., Lee, S. E., Agrawal, G. K., Rakwal, R., Park, S., Wang, Y., et al. (2015). Understanding the plant-pathogen interactions in the context of proteomics-generated apoplastic proteins inventory. Front. Plant Sci. 6, 352. doi: 10.3389/fpls.2015.00352

PubMed Abstract | CrossRef Full Text | Google Scholar

Hassan, N., Shimizu, M., Hyakumachi, M. (2014). Occurrence of root rot and vascular wilt diseases in roselle (Hibiscus sabdariffa L.) in Upper Egypt. Mycobiology 42, 66–72. doi: 10.5941/MYCO.2014.42.1.66

PubMed Abstract | CrossRef Full Text | Google Scholar

Hussein, H.-A. A., Alshammari, S. O., Kenawy, S. K., Elkady, F. M., Badawy, A. A. (2022). Grain-priming with L-arginine improves the growth performance of wheat (Triticum aestivum L.) plants under drought stress. Plants 11, 1219. doi: 10.3390/plants11091219

PubMed Abstract | CrossRef Full Text | Google Scholar

Ibraheem, S., Okesha, A., Mhathem, K. (1987). Interrelationship between protein and oil content of soybean seed with some associated fungi. J. Agric. Water Resour. Research Plant Production 6, 53–66.

Google Scholar

Jobic, C., Boisson, A.-M., Gout, E., Rascle, C., Fêvre, M., Cotton, P., et al. (2007). Metabolic processes and carbon nutrient exchanges between host and pathogen sustain the disease development during sunflower infection by Sclerotinia sclerotiorum. Planta 226, 251–265. doi: 10.1007/s00425-006-0470-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Jun-Cai, D., Jiang, L., Ting, L., Feng, Y., Ben-Ying, S., Liang, C., et al. (2015). Effect of seed mildew in field on yield and quality of soybean during harvest season. Chin. J. Oil Crop Sci. 37, 77. doi: 10.7505/j.issn.1007-9084.2015.01.012

CrossRef Full Text | Google Scholar

Kachroo, A., Kachroo, P. (2009). Fatty acid–derived signals in plant defense. Annu. Rev. Phytopathol. 47, 153–176. doi: 10.1146/annurev-phyto-080508-081820

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaplan, F., Kopka, J., Haskell, D. W., Zhao, W., Schiller, K. C., Gatzke, N., et al. (2004). Exploring the temperature-stress metabolome of Arabidopsis. Plant Physiol. 136, 4159–4168. doi: 10.1104/pp.104.052142

PubMed Abstract | CrossRef Full Text | Google Scholar

Kirkpatrick, B., Bazzaz, F. (1979). Influence of certain fungi on seed germination and seedling survival of four colonizing annuals. J. Appl. Ecol. 16 (2), 515–527. doi: 10.2307/2402526

CrossRef Full Text | Google Scholar

Kishor, P. K., Suravajhala, R., Rajasheker, G., Marka, N., Shridhar, K. K., Dhulala, D., et al. (2020). Lysine, lysine-rich, serine, and serine-rich proteins: link between metabolism, development, and abiotic stress tolerance and the role of ncRNAs in their regulation. Front. Plant Sci. 11, 546213. doi: 10.3389/fpls.2020.546213

PubMed Abstract | CrossRef Full Text | Google Scholar

Krishnan, H., Coe, E. (2001). Seed Storgae Proteins. In: Encyclopedia of Genetics (eds. Brenner, S, Miller, J. H) (San Diego, CA: Academic Press). pp. 1782–1787. doi: 10.1006/rwgn.2001.1714

CrossRef Full Text | Google Scholar

Krõl, A., Amarowicz, R., Weidner, S. (2014). Changes in the composition of phenolic compounds and antioxidant properties of grapevine roots and leaves (Vitis vinifera L.) under continuous of long-term drought stress. Acta Physiologiae Plantarum 36, 1491–1499. doi: 10.1007/s11738-014-1526-8

CrossRef Full Text | Google Scholar

Lattanzio, V. (2013). Phenolic compounds: Introduction In: Ramawat, K.G., Mérillon, J.M. editors. Natural Products: Phytochemistry, Botany and Metabolism of Akaloids, Phenolics and Terpenes. (Berlin/Heidelberg, Germany: Springer) pp. 1543–1580. doi: 10.1007/978-3-642-22144-6_57

CrossRef Full Text | Google Scholar

Liu, R., Lu, J., Xing, J., Du, M., Wang, M., Zhang, L., et al. (2021). Transcriptome and metabolome analyses revealing the potential mechanism of seed germination in Polygonatum cyrtonema. Sci. Rep. 11, 1–12. doi: 10.1038/s41598-021-91598-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Marcenaro, D., Valkonen, J. P. (2016). Seedborne pathogenic fungi in common bean (Phaseolus vulgaris cv. INTA Rojo) in Nicaragua. PloS One 11, e0168662. doi: 10.1371/journal.pone.0168662

PubMed Abstract | CrossRef Full Text | Google Scholar

Matysiak, K., Kierzek, R., Siatkowski, I., Kowalska, J., Krawczyk, R., Miziniak, W. (2020). Effect of exogenous application of amino acids l-arginine and glycine on maize under temperature stress. Agronomy 10, 769. doi: 10.3390/agronomy10060769

CrossRef Full Text | Google Scholar

Mcclintock, J., El-Tahir, I. (2004). Production of roselle. Plant Resour. Trop. Africa PROTOA Foundation 2.

Google Scholar

Mohamed, R., Fernandez, J., Pineda, M., Aguilar, M. (2007). Roselle (Hibiscus sabdariffa) seed oil is a rich source of γ-tocopherol. J. Food Sci. 72, S207–S211. doi: 10.1111/j.1750-3841.2007.00285.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohd-Esa, N., Hern, F. S., Ismail, A., Yee, C. L. (2010). Antioxidant activity in different parts of roselle (Hibiscus sabdariffa L.) extracts and potential exploitation of the seeds. Food Chem. 122, 1055–1060. doi: 10.1016/j.foodchem.2010.03.074

CrossRef Full Text | Google Scholar

Moormann, J., Heinemann, B., Hildebrandt, T. M. (2022). News about amino acid metabolism in plant–microbe interactions. Trends Biochem. Sci. 47 (10), 839–850. doi: 10.1016/j.tibs.2022.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Morkunas, I., Ratajczak, L. (2014). The role of sugar signaling in plant defense responses against fungal pathogens. Acta Physiologiae Plantarum 36, 1607–1619. doi: 10.1007/s11738-014-1559-z

CrossRef Full Text | Google Scholar

Nyam, K.-L., Leao, S.-Y., Tan, C.-P., Long, K. (2014). Functional properties of roselle (Hibiscus sabdariffa L.) seed and its application as bakery product. J. Food Sci. Technol. 51, 3830–3837. doi: 10.1007/s13197-012-0902-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Pandey, S. (2018). Physiological and biochemical changes associated with the development of brown spot diseases in rice leaves. Int. J. Advanced Agric. Sci. Technol. 5, 69–78.

Google Scholar

Parihar, P., Singh, S., Singh, R., Singh, V. P., Prasad, S. M. (2015). Effect of salinity stress on plants and its tolerance strategies: a review. Environ. Sci. pollut. Res. 22, 4056–4075. doi: 10.1007/s11356-014-3739-1

CrossRef Full Text | Google Scholar

Parthasarathy, A., Savka, M. A., Hudson, A. O. (2019). The synthesis and role of β-alanine in plants. Front. Plant Sci. 10, 921. doi: 10.3389/fpls.2019.00921

PubMed Abstract | CrossRef Full Text | Google Scholar

Peng, W. L., Mohd-Nasir, H., Setapar, S. H. M., Ahmad, A., Lokhat, D. (2020). Optimization of process variables using response surface methodology for tocopherol extraction from Roselle seed oil by supercritical carbon dioxide. Ind. Crops Products 143, 111886. doi: 10.1016/j.indcrop.2019.111886

CrossRef Full Text | Google Scholar

Riaz, G., Chopra, R. (2018). A review on phytochemistry and therapeutic uses of Hibiscus sabdariffa L. Biomedicine Pharmacotherapy 102, 575–586. doi: 10.1016/j.biopha.2018.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Rizhsky, L., Liang, H., Shuman, J., Shulaev, V., Davletova, S., Mittler, R. (2004). When defense pathways collide. The response of Arabidopsis to a combination of drought and heat stress. Plant Physiol. 134, 1683–1696. doi: 10.1104/pp.103.033431

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez-Moreno, L., Ebert, M. K., Bolton, M. D., Thomma, B. P. (2018). Tools of the crook-infection strategies of fungal plant pathogens. Plant J. 93, 664–674. doi: 10.1111/tpj.13810

PubMed Abstract | CrossRef Full Text | Google Scholar

Shrestha, P., Callahan, D. L., Singh, S. P., Petrie, J. R., Zhou, X.-R. (2016). Reduced triacylglycerol mobilization during seed germination and early seedling growth in Arabidopsis containing nutritionally important polyunsaturated fatty acids. Front. Plant Sci. 7, 1402. doi: 10.3389/fpls.2016.01402

PubMed Abstract | CrossRef Full Text | Google Scholar

Tahmasebi, A., Asgari, A., Bakhshi, S., Shahriari, A. G., Lee, C. W. (2023). Ultrasound application for the decontamination of roselle (Hibiscus sabdariffa L.) seeds: influence on fungal inhibition and seed quality. Ultrasonics Sonochemistry, 95, 106404. doi: 10.1016/j.ultsonch.2023.106404

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsai, P., Ou, A. (1996). Colour degradation of dried roselle during storage. Food Sci. 23, 629–640.

Google Scholar

Tuan, P. A., Sun, M., Nguyen, T.-N., Park, S., Ayele, B. T. (2019). “Molecular mechanisms of seed germination,” in Sprouted grains (Elsevier).

Google Scholar

Tylkowska, K., Grabarkiewicz-Szczesna, J., Iwanowska, H. (2003). Production of toxins by Alternaria alternata and A. radicina and their effects on germination of carrot seeds. Seed Sci. Technol. 31, 309–316. doi: 10.15258/sst.2003.31.2.08

CrossRef Full Text | Google Scholar

Waditee, R., Bhuiyan, N. H., Hirata, E., Hibino, T., Tanaka, Y., Shikata, M., et al. (2007). Metabolic engineering for betaine accumulation in microbes and plants. J. Biol. Chem. 282, 34185–34193. doi: 10.1074/jbc.M704939200

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, C.-W., Yu, Y.-H., Wu, C.-Y., Feng, R.-Y., Tandon, K., Chen, Y.-L., et al. (2021). Detection of pathogenic and beneficial microbes for roselle wilt disease. Front. Microbiol. 12, 3323. doi: 10.3389/fmicb.2021.756100

CrossRef Full Text | Google Scholar

Yang, H.-Q., Gao, H.-J. (2007). Physiological function of arginine and its metabolites in plants. Zhi wu Sheng li yu fen zi Sheng wu xue xue bao= J. Plant Physiol. Mol. Biol. 33, 1–8.

Google Scholar

Zhang, X., Wang, R., Ning, H., Li, W., Bai, Y., Li, Y. (2020). Evaluation and management of fungal-infected carrot seeds. Sci. Rep. 10, 10808. doi: 10.1038/s41598-020-67907-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, M., Zhang, H., Yan, H., Qiu, L., Baskin, C. C. (2018). Mobilization and role of starch, protein, and fat reserves during seed germination of six wild grassland species. Front. Plant Sci. 9, 234. doi: 10.3389/fpls.2018.00234

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: biochemical components, energy reserves, Fusarium solani, Hibiscus sabdariffa, seed quality

Citation: Tahmasebi A, Roach T, Shin SY and Lee CW (2023) Fusarium solani infection disrupts metabolism during the germination of roselle (Hibiscus sabdariffa L.) seeds. Front. Plant Sci. 14:1225426. doi: 10.3389/fpls.2023.1225426

Received: 19 May 2023; Accepted: 18 July 2023;
Published: 08 August 2023.

Edited by:

Leo Sabatino, University of Palermo, Italy

Reviewed by:

Livio Torta, University of Palermo, Italy
Pradeep Kumar, Central Arid Zone Research Institute (ICAR), India

Copyright © 2023 Tahmasebi, Roach, Shin and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Chul Won Lee, cwlee@jnu.ac.kr; Song Yub Shin, syshin@chosun.ac.kr; Aminallah Tahmasebi, a.tahmasbi@hormozgan.ac.ir

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