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Article

Exploring Exogenous Indole-3-acetic Acid’s Effect on the Growth and Biochemical Profiles of Synechocystis sp. PAK13 and Chlorella variabilis

by
Wael A. Fathy
1,2,*,
Hamada AbdElgawad
1,3,
Amr H. Hashem
4,*,
Ehab Essawy
5,
Eman Tawfik
6,
Abdulaziz A. Al-Askar
7,
Mohamed S. Abdelhameed
1,
Ola Hammouda
1 and
Khaled N. M. Elsayed
1
1
Botany and Microbiology Department, Faculty of Science, Beni Suef University, Beni Suef 62511, Egypt
2
Doctoral School of Biology, Faculty of Science and Informatics, University of Szeged, 6720 Szeged, Hungary
3
Integrated Molecular Plant Physiology Research (IMPRES), Department of Biology, University of Antwerp, BE-2020 Antwerp, Belgium
4
Botany and Microbiology Department, Faculty of Science, Al-Azhar University, Cairo 11884, Egypt
5
Biochemistry Division, Chemistry Department, Faculty of Science, Helwan University, Helwan 11795, Egypt
6
Botany and Microbiology Department, Faculty of Science, Helwan University, Helwan 11795, Egypt
7
Department of Botany and Microbiology, Faculty of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Molecules 2023, 28(14), 5501; https://doi.org/10.3390/molecules28145501
Submission received: 28 May 2023 / Revised: 16 July 2023 / Accepted: 17 July 2023 / Published: 19 July 2023
(This article belongs to the Special Issue Metabolites from Algae: Discovery, Identification and Bioactive Evaluation)
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Abstract

:
Microalgae have garnered scientific interest for their potential to produce bioactive compounds. However, the large-scale industrial utilization of microalgae faces challenges related to production costs and achieving optimal growth conditions. Thus, this study aimed to investigate the potential role of exogenous indole-3-acetic acid (IAA) application in improving the growth and production of bioactive metabolites in microalgae. To this end, the study employed different concentrations of exogenously administered IAA ranging from 0.36 µM to 5.69 µM to assess its influence on the growth and biochemical composition of Synechocystis and Chlorella. IAA exposure significantly increased IAA levels in both strains. Consequentially, improved biomass accumulation in parallel with increased total pigment content by approximately eleven-fold in both strains was observed. Furthermore, the application of IAA stimulated the accumulation of primary metabolites. Sugar levels were augmented, providing a carbon source that facilitated amino acid and fatty acid biosynthesis. As a result, amino acid levels were enhanced as well, leading to a 1.55-fold increase in total amino acid content in Synechocystis and a 1.42-fold increase in Chlorella. Total fatty acids content increased by 1.92-fold in Synechocystis and by 2.16-fold in Chlorella. Overall, the study demonstrated the effectiveness of exogenously adding IAA as a strategy for enhancing the accumulation of microalgae biomass and biomolecules. These findings contribute to the advancement of microalgae-based technologies, opening new avenues to produce economically important compounds derived from microalgae.

1. Introduction

Microalgae and cyanobacteria can produce a wide range of compounds with significant economic, medicinal, and industrial importance. These tiny microorganisms have been attracting significant attention in recent years due to their potential to revolutionize the fields of biofuels, food, medicine, and wastewater treatment [1,2]. In this regard, microalgae are a rich source of valuable compounds, including proteins, lipids, pigments, and carbohydrates, which have significant economic potential [3,4]. For instance, the lipids extracted from microalgae can be converted into biodiesel, which is a clean-burning alternative to traditional diesel fuel [5]. Thus, microalgae are used to produce biofuels, which are renewable energy sources that have the potential to replace fossil fuels [6,7]. Additionally, microalgae are used to produce high-value products, such as astaxanthin, which is a powerful antioxidant with applications in the food, cosmetic, and pharmaceutical industries [8,9]. In the pharmaceutical industry, microalgae and cyanobacteria are used to produce vaccines, antibodies, and other bioactive compounds [10,11]. For instance, economically important products derived from microalgae and cyanobacteria include beta-carotene, phycocyanin, and omega-3 fatty acids [12]. Spirulina is a rich source of antioxidants, vitamins, and minerals; in addition, its extract has anti-inflammatory, immunomodulatory, and anticancer properties [13]. Other species such as Chlorella and Dunaliella are being investigated for their potential health benefits, including improving health, reducing cholesterol levels, and enhancing the immune system [14,15]. Due to their high content of antioxidants and pigments, they can be used in the production of cosmetic products such as anti-aging creams and sunscreens [16,17]. Overall, microalgae and cyanobacteria are promising sources for producing bioactive compounds.
Microalgae and cyanobacteria have immense potential for a wide range of industrial products. However, there are several barriers that prevent their use on an industrial scale. These challenges include high cost of production, as a controlled environment is a necessity and is costly to maintain [18,19]. Achieving optimal growth conditions for microalgae and cyanobacteria is a complex process that requires technical expertise [20]. Additionally, it is challenging to maintain a constant production rate because microalgae and cyanobacteria growth rates depend on a variety of factors, including temperature, light, nutrient availability, and CO2 concentration [21,22]. Therefore, further research is required to increase the adaptability and productivity of commercially valuable metabolites while reducing production costs by using effective methods and highly productive strains [23,24].
IAA is a type of plant hormone that is commonly used in plant growth and development studies [25]. IAA’s primary function in microalgae and cyanobacteria is to modulate cell division and proliferation. For instance, it can stimulate cell division and proliferation in these microorganisms, thereby increasing biomass production [26]. For example, IAA stimulates cell division and increases the biomass of microalgae strains such as Chlorella vulgaris [27] and Chlorella pyrenoidosa [28]. It increases the amount of carotenoid and xanthophyll in the same species [29]. In addition, IAA increases the absorption efficiency of nutrients by microalgae and cyanobacteria, particularly nitrogen and phosphorus [30]. IAA can regulate the responses of microalgae and cyanobacteria subjected to environmental stresses such as nutrient limitation, excessive salinity, heavy metals, and toxic compounds [31,32]. In this regard, IAA activates stress tolerance mechanisms, boosts antioxidant defenses, and enhances overall stress resistance, allowing microorganisms to endure and thrive in challenging environments [32].
Interestingly, cyanobacteria can produce IAA, which promotes growth under normal conditions and provides protection against various stressors [33]. Studies that have examined the growth yield after adding exogenous IAA in quantities critical for hormone production have long established the fact that IAA aids cyanobacteria in growing [34]. Previous studies have indicated that the supplementation of culture media with phytohormones such as IAA and cytokinin can enhance microalgae growth by regulating internal biochemical pathways [35]. Cyanobacteria, however, exhibit distinct responses to IAA depending on their nitrogen fixation capabilities, with synthetic auxins found to enhance dinitrogen fixation and heterocyst frequency in N2-fixing cyanobacteria strains [36]. This suggests that IAA plays a significant role in the process of N2-fixation by cyanobacteria. Furthermore, the composition of the culture medium affects the growth of Chlorophyta microalgae. An optimal composition of the culture medium enhances microalgae growth and bioactive compound production [37]. It has been found that adding small amounts of plant growth regulators which have the same structures and effects as phytohormones to the culture medium causes biochemical, physiological, and morphological changes [37]. Therefore, the addition of IAA to microalgae culture media is a promising approach for improving biomass production and enhancing biochemical content [38].
This study aims to examine how the addition of exogenous IAA as a plant hormone affects the growth and metabolite profiles, including carbohydrates, amino acids, organic acids, and lipid content, of two strains: the cyanobacterium Synechocystis sp. PAK13 and the chlorophyta microalga Chlorella variabilis. The research offers a thorough analysis of the unique metabolic responses of these microorganisms, shedding light on their distinct mechanisms for producing biomass and bioactive metabolites.

2. Results and Discussion

2.1. External IAA Increased IAA Levels in Synechocystis and Chlorella Strains

External exposure to IAA increased the internal IAA content of Synechocystis and Chlorella (Table 1), whereas the internal IAA content was increased in Synechocystis by IAA exposure up to a maximum of 1.42 µM of IAA. Exposure to 0.36 µM of IAA increased the internal IAA content to 0.120 mg/g, which then decreased slightly to 0.107 mg/g and 0.133 mg/g at concentrations of 0.71 and 1.42 µM, respectively. At even higher IAA concentrations (2.84 and 5.69 µM) the internal IAA content increased again, reaching a maximum of 0.236 mg/g. In Chlorella, the internal IAA content of the cells in the absence of external IAA is 1.724 mg/g, which increased to 2.25, 3.33, 4.44, 4.71, and 5.81 mg/g after exposure to 0.36, 0.71, 1.42, 2.84, and 5.69 µM of IAA, respectively. The results suggest that both strains can take up and accumulate external IAA, which depends on the concentrations of external IAA exposure as well as the microalgae species. The increase in internal IAA content of Synechocystis at low concentrations of external IAA suggests that the cells may be able to use external IAA as a hormone for growth and development. The linear increase in internal IAA content of Chlorella with increasing external IAA concentration suggests that the cells can take up and accumulate IAA over a wide range of concentrations. Previous research has shown that IAA exposure increases IAA absorption by microorganisms, including bacteria, cyanobacteria, and microalgae. In this context, the application of exogenous IAA increased the strain’s IAA production, indicating greater IAA absorption [39]. In addition to exogenous IAA uptake, endogenous IAA production is susceptible to manipulation. Prior research indicates that microorganisms such as Rhodosporidiobolus fluvialis [40] and cyanobacterial strains such as Arthrospira platensis can produce IAA [31]. The study of Meza, et al. [41] proposed that higher IAA production in microorganisms is related to higher accumulations of intracellular phosphate. In this regard, IAA increases the absorption efficiency of nutrients by microalgae and cyanobacteria, particularly phosphorus [30]. Microorganisms can produce more IAA if the growth conditions and medium composition are optimized. The biosynthesis of IAA can contribute to the growth, development, and physiological responses of these microorganisms.

2.2. IAA Exposure Improved Growth and Pigments of Synechocystis and Chlorella

The growth curves of the two strains displayed were examined to determine the impact of IAA on Synechocystis and Chlorella (Figure 1). Among all applied IAA concentrations, 0.71 µM of IAA was improved by IAA. Additionally, biomass was steadily increased under IAA treatment, where Synechocystis and Chlorella produced greater biomass, i.e., 237% and 943%, compared to the control sample (Figure 2). IAA is known to contribute to cell proliferation at low levels by stimulating cell division. However, according to González-Garcinuño, et al. [42] high doses can act as a herbicide and limit growth. We found that growth is affected by different concentrations of external IAA exposure. Biomass accumulation was improved, indicating the positive role of IAA in improving the growth cycle of microalgae. In agreement with Borowitzka, et al. [43], we found that IAA results in a considerable increase in microalgae biomass and cell architectures of Chlorella zofingiensis. Moreover, Guldhe, et al. [44] demonstrated that other phytohormones such as gibberellic acid and cytokinin–kinetin increased the biomass percentages of Chlorella sorokiniana (35.94% and 37.37%, respectively). Another study found that IAA promoted maximal growth of S. obliquus by 1.2-fold when compared to the control [45]. An earlier study showed that adding a mixture of IAA and brassinolide increased C. vulgaris growth by four-fold compared to the control [46]. These investigations complement our findings that IAA stimulates cell division and proliferation of microorganisms, resulting in an increase in biomass production [26]. For instance, it increased cell division in Chlorella vulgaris [27] and Chlorella pyrenoidosa [28].
To further understand IAA-induced strains biomass accumulation, the content of photosynthetic pigments was measured (Figure 3). Consistent with higher growth, 0.71 µM of IAA increased the chlorophyll level in Synechocystis and Chlorella 48.75-fold and 4.6-fold, respectively. Similarly, Synechocystis and Chlorella showed chlorophyll b levels increased by 21.7-fold and seven-fold, respectively. Furthermore, carotenoids were significantly and greatly elevated in Synechocystis by 22.7-fold over control and 5.2-fold in Chlorella. Thus, IAA treatment boosted microalgae photosynthetic efficiency, allowing them to use more solar energy, which was then transformed into greater biomass and lipids level. Under IAA stress, chlorophyll a, b, and carotenoids were considerably increased in Synechocystis and Chlorella compared to controls. An increased concentration of carotenoid is a defense mechanism to maintain photosynthetic efficiency by protecting the photosynthesis system [47]. In line with our study, the amount of carotenoid and xanthophyll has been found to increase with IAA exposure in microalgae [29]. The increase in pigments in mesotrophic cultures can at least partially explain the increase in biomass concentration, and corresponds better with an antenna pigment function than with a photoprotector function [48]. Multiple mechanisms can account for the observed increase in photosynthetic pigment content after IAA exposure. It has been reported that IAA stimulates the expression of genes implicated in chlorophyll and carotenoid biosynthesis [49,50]. For instance, it increased the activity of key enzymes such as glycolate oxidase involved in the biosynthesis of pigments [51,52,53]. In addition, IAA exposure increased the efficiency of photosynthetic electron transport and energy conversion, resulting in an increase in pigment synthesis [54]. In general, IAA exposure-induced pigment level increases can be associated with improved photosynthetic efficiency and photosynthetic microorganism growth.

2.3. IAA Enhanced Primary Metabolism

2.3.1. Improved Carbohydrates Levels

According to our results and a previous study by Lin, et al. [55], external application of IAA improves microalgal growth, photosynthesis, and metabolism. Increased photosynthesis by IAA can induce high carbohydrate accumulation. For instance, treatment with IAA at 0.1 μM increased the concentration of photosynthetic pigments, monosaccharides, and soluble proteins in C. vulgaris [56]. Thus, we measured the effect of IAA on carbohydrate levels. Soluble sugars such as glucose were significantly increased in Synechocystis with increasing IAA concentrations (Figure 4). Chlorella had an eight-fold increase in glucose content compared to the control strain at 0.71 µM IAA. In addition, sucrose levels in Synechocystis and Chlorella gradually decreased with rising IAA concentrations at ranges between 2.4 mg/g and 1.5 mg/g and 0.9 mg/g to 0.74 mg/g, respectively. On the other hand, fructose content increased slightly with increasing IAA concentrations in both Synechocystis and Chlorella. Total soluble sugars increased gradually with increasing IAA dose, from 3.03 mg/g for the control strain to 4.45 mg/g at 2.84 μM IAA, before decreasing to 2.03 mg/g at 5.69 μM IAA, as demonstrated in Table 2. On the other hand, the glycogen content increased steadily from 48.44 mg/g at the control level to 72.78 mg/g at 2.84 μM IAA. These results suggest that the optimal IAA concentration for enhancing glycogen production in Synechocystis is around 2.84 μM, while higher concentrations may impair glycogen synthesis. The total soluble sugars increased from 3.48 mg/g at the control strain to 4.07 mg/g at 1.42 μM IAA, while the glycogen content increased from 3.54 mg/g at the control to 4.17 mg/g at 1.42 μM IAA. However, at the highest IAA concentration (5.69 μM) both the total soluble sugars and the glycogen content decreased. These findings suggest that an optimal IAA concentration for enhancing the production of total soluble sugars and glycogen in Chlorella is around 1.42 μM. IAA has been shown to affect the activity of sugar-metabolizing enzymes in plants, including those involved in photosynthesis, glycolysis, and the TCA cycle [52]. By modulating enzyme activities and gene expression, IAA may enhance microalgal sugar biosynthesis and subsequent metabolism. Moreover, it regulates the allocation of carbon in plants [57]. Because microalgae are known to accumulate lipids, it is conceivable that external IAA could influence carbon allocation in microalgae, thereby favoring sugar metabolism and possibly leading to increased sugar production.

2.3.2. Organic Acids

The increased availability of carbohydrates and TCA cycle intermediates increases the pool of substrates for energy production and the synthesis of organic, amino, and fatty acids [58]. In the TCA cycle, the complete cycle generates intermediates that serve as precursors for the biosynthesis of organic acids, amino acids, and fatty acids [59]. Organic acids have a wide range of applications and are highly valued in various industries due to their versatility. They play a crucial role in sectors such as the food, energy, chemical, diagnostic, and pharmaceutical industries. In the current study, the changes in sugar levels caused by IAA exposure are likely to have an impact on tricarboxylic acid cycle intermediates such as organic acids (Figure 5), whereas in Synechocystis the organic acid profile vary depending on IAA concentrations. In the control strain the dominant organic acid was oxalic acid (2.89 mg/g), followed by citric acid (5.37 mg/g) and malic acid (6.67 mg/g). As the IAA dose increased, the concentration of citric acid decreased while the concentrations of succinic acid, isobutyric acid, and fumaric acid increased. At the highest IAA dose (5.69 μM), the total organic acid concentration was slightly decreased to 17.35 mg/g. On the other hand, in Chlorella the dominant organic acid at control conditions was oxalic acid (2.12 mg/g), followed by malic acid (8.49 mg/g) and citric acid (1.11 mg/g). The increase in IAA dose decreased the concentration of oxalic acid, while the concentration of citric acid increased. At the highest IAA dose (5.69 μM), the total organic acid concentration increased to 18.64 mg/g. These results agree with those of Li, et al. [60]; in that study, when various concentrations of IAA were added to poplar seedlings the contents of both GA and malonic acid increased with increasing IAA concentration. An important breakthrough in industrial microbiology has been the ability to produce organic acids from cost-effective raw materials using microbial fermentation. The organic acids in microalgae serve as essential components and building blocks to produce numerous products. For example, citric acid is extensively used in the food industry as an acidulant and flavor enhancer. Similarly, lactic acid finds its application in the production of biodegradable polymers and serves as a pH regulator in food products [61].

2.3.3. Amino Acids Content

IAA can modulate the amino acid composition of plants and algal cells when applied externally. Biosynthesis, catabolism, and transport of amino acids can be altered by IAA treatment. It can induce the expression of genes involved in amino acid metabolism and influence the activity of enzymes involved in the synthesis and degradation of amino acids [62]. As a result of the changes in carbohydrates and organic acids, we tracked the changes in amino acid profiles of both strains cultured under varied IAA concentrations. The effectiveness of exogenous IAA on amino acid accumulation, including nonpolar and polar amino acids, was determined to identify the most impacted group, as shown in (Figure 6). For Synechocystis, IAA exposure increased most amino acids concentrations, excepting isoleucine and methionine. The highest increase was observed for valine and phenylalanine at the highest IAA dose of 5.69 µM, with a 126% and 43% increase, respectively. Overall, the total concentration of nonpolar amino acids increased by 125% at the highest IAA dose. For Chlorella, increasing doses of IAA increased most amino acids, excepting methionine. The highest increase was observed for leucine at the highest IAA dose (5.69 µM, with a 728% increase). The total concentration of nonpolar amino acids increased as well, reaching a maximum of 59.34 mg/g at the highest IAA dose, an increase of 60% compared to the control group. Further Synechocystis showed that increasing doses of IAA exposure decreased glutamine, asparagine, threonine, and serine, while cystine and tyrosine decreased at the second-highest dose (2.84 µM). The total polar amino acid content decreased with increasing IAA concentrations. The levels of amino acids in Chlorella were more variable, with glutamine, asparagine, and cystine all increasing at the highest dose of IAA and tyrosine increasing at the two highest doses. The total polar amino acid content increased at the highest dose of IAA.
The results for basic or positively charged amino acids and for acidic or negatively charged amino acids showed an increase in the content of basic amino acids, with a 168% increase under the highest IAA concentration treatment (5.69 µM). This increase was mainly due to the increase in arginine content, which increased by 115% at the highest dose. In contrast, the content of acidic amino acids remained relatively stable across all doses, with no significant changes observed. As a result, the total amino acid content increased as the IAA dose increased, while Chlorella showed a variable pattern of these levels. At the lowest dose (0.36 µM), the content of basic amino acids decreased while the content of acidic amino acids increased. However, as the IAA dose increased the content of basic amino acids increased as well, with the highest dose resulting in a 76% increase compared to the control. This increase was mainly due to the increase in lysine and arginine content i.e., 78% and 24%, respectively. The total amino acid content increased as the IAA dose increased, with the highest dose resulting in a 43% increase compared to the control. Overall, the results suggest that external IAA exposure can have a significant effect on the amino acid composition of microalgae strains. These effects may be due to differences in the metabolic pathways or biochemical processes between microalgae species. In addition, IAA increases the absorption efficiency of nutrients in microalgae and cyanobacteria, particularly nitrogen and phosphorus, which can consequently improve amino acid metabolism [30].

2.3.4. Fatty Acids Content

The effects of IAA can be expanded to include tricarboxylic acid cycle intermediates such as fatty acids. Moreover, IAA increases the redox status of microalgae, which plays an important role in maintaining oxidative stress in microalgae and increasing lipid synthesis in microalgae under stressful circumstances [63]. As a result, we evaluated individual and total fatty acids (saturated and unsaturated). Total fatty acids increased considerably in Synechocystis and Chlorella during our study compared to the control sample. To demonstrate these changes, we measured saturated fatty acids (SFA) levels, which showed that SFA levels steadily increased with increasing external IAA doses (Table 3). For Synechocystis, exposure to IAA led to an increase in the content of all saturated fatty acids except heptadecanoic acid. Specifically, the highest concentration of IAA (5.69 µM) resulted in a 126% increase in total saturated fatty acids level compared to the control. This increase was mainly due to the significant increase in palmitic acid (97%), stearic acid (28%), and arachidic acid (31%). The concentration of myristic acid was significantly increased (99%) at the highest concentration of IAA. For Chlorella, the effect of IAA on fatty acid content was more variable. At low concentrations of IAA (0.36 and 0.71 µM) the fatty acid content did not change significantly compared to the control. However, at higher concentrations of IAA (1.42, 2.84, and 5.69 µM) the content of some fatty acids increased while others decreased. For example, the content of palmitic acid and arachidic acid was significantly increased (89% and 39%, respectively) at the highest concentration of IAA, while the content of heptadecanoic acid and docosanoic acid was significantly decreased at 53% and 36%, respectively.
In addition to unsaturated fatty acids, Table 4 demonstrate that in Synechocystis there was an increase in the amounts of all unsaturated fatty acids analyzed at the lowest dose of 0.36 µM, except for palmitoleic acid. The most significant increase was observed in linoleic acid, which increased from 17.78 mg/g to 23.96 mg/g. At the highest dose of 5.69 µM there was a further increase in all unsaturated fatty acids except for heptadecenoic acid. The most significant increase was observed in linolenic acid, which increased from 8.51 mg/g to 31.82 mg/g. The total unsaturated fatty acid content increased from 51.21 mg/g to 92.19 mg/g, while the total fatty acid content increased from 69.92 mg/g to 134.49 mg/g. In Chlorella, however, at the lowest dose of 0.36 µM there was a decrease in palmitoleic acid and an increase in all other unsaturated fatty acids. The most significant increase was observed in linoleic acid, which increased from 25.67 mg/g to 24.70 mg/g. At the highest dose of 5.69 µM there was a further increase in the amounts of all unsaturated fatty acids except for oleic acid. The most significant increase was observed in linolenic acid, which increased from 19.36 mg/g to 75.62 mg/g. The total unsaturated fatty acid content increased from 67.33 mg/g to 150.87 mg/g, while the total fatty acid content increased from 86.95 mg/g to 188.21 mg/g. Generally, IAA increased the amount of unsaturated fatty acids in Synechocystis, while the effect was more complex in Chlorella, with both increases and decreases observed. These results suggest that external IAA can have a significant effect on the fatty acid composition of microalgae.
The majority of existing research has concentrated on microalgae oil and how to induce lipid production using chemical treatments, growing environment alterations, or genetic engineering techniques [64]. Similarly, Chlorella variabilis under environmental change accumulates a lipid content of 6.81 × 10−13 g/cell, and Synechocystis sp. PAK13 has a lipid content of 8.19 × 10−13 g/cell [65]. Membrane lipids, one of these enhancements, contain the majority of unsaturated fatty acids, and their principal responsibility is to maintain membrane fluidity in a variety of conditions [66]. Onay [67] reported that the highest dry weight of Chlorella zofingiensis was achieved at 80 μM IAA and that the growth cycle can be expected to vary. In another study, when IAA levels were high fatty acid buildup was inhibited in Scenedesmus [68]. These findings may have implications for the development of strategies to enhance the production of biofuels and other high-value compounds from microalgae.

3. Materials and Methods

3.1. Strains and Cultural Conditions

The Synechocystis sp. PAK13 and Chlorella variabilis DT025 strains utilized in this study were generously provided by the Algal Biotechnology Lab, Faculty of Science, Beni-Suef University, Egypt. These strains were originally isolated from a marine habitat in the Red Sea and cultured using a cost-effective commercial Wuxal medium (WM) supplemented with tap water. WM is a liquid plant fertilizer widely used for fertilization purposes, comprising 8% N, 8% P2O5, 6% K2O, 0.01% B, 0.004% Cu, 0.02% Fe, 0.012% Mn, and 0.004% Zn (Wilhelm Haug GmbH and Co. KG, Ammerbuch, Germany). The culture medium was prepared by adding 800 µL of WM per liter of tap water. To mimic the salinity levels found in the Red Sea habitat, the medium was supplemented with 1 g/L of NaCl. This concentration was selected based on the natural environment from which the strains were originally isolated [22,69]. The growth conditions for the strains were maintained at a temperature of 28 ± 2 °C and a light intensity of 30.4 mol m−2s−1. The growth medium was supplemented with various concentrations of IAA. The IAA was initially dissolved using NaOH, and concentrations of 0.36, 0.71, 1.42, 2.84, and 5.69 µM were prepared and added to the growth medium. The selection of these IAA concentrations was based on a comprehensive review of the literature, including the studies of Leganés, et al. [36], Zhang, et al. [70] and De-Bashan, et al. [71], as well as preliminary experiments conducted in our laboratory. The chosen concentrations were logarithmically scaled to cover a wide range of doses, allowing for the investigation of potential dose-dependent effects while maintaining a consistent ratio between each concentration.

3.2. Growth Parameters

Cell growth was detected by the optical density at 700 nm using a spectrophotometer type (NanBei Instrument®, Zhengzhou, China) to calculate the strains growth rate. To determine the wet-weight biomass of the Synechocystis and Chlorella cultures, we utilized a centrifugation-based approach; specifically, 5 mL of the culture was centrifuged, the pellet was dried in an inverted position on a paper tissue for 5 min at room temperature, then the wet-weight was measured.

3.3. Synechocystis and Chlorella Biochemical Profile Estimation

3.3.1. Estimation of IAA

Microalgae were centrifuged for 10 min at 4000× g and the pellets were washed three times at 4 °C with ddH2O. Washed pellets (300 mg) were extracted in 2 mL of cooled methanol (80% v/v). The extracts were collected after centrifugation at 4000× g for 15 min at 4 °C. The extraction was repeated twice, the supernatant was merged, and the volume was increased to 10 mL with 80% pure methanol. To establish liquid chromatography detection, the extract was filtered with a 0.22 μm filter. The contents of IAA were detected by Quaternary gradient ultra-fast liquid chromatography using a Waters Acquity ARC 600-2998 (Waters Corporation®, Milford, MA, USA) equipped with the Symmetry-C18 column (4.6 × 250 mm, 5 μm). Concentrations were calculated according to the calibration curves created with authentic standards.

3.3.2. Estimation of Pigment Content

To determine the levels of photosynthetic pigments in Synechocystis and Chlorella samples, we adhered to the methodology outlined by Moran, et al. [72]. During the exponential growth phase, a volume of two milliliters was obtained from the culture strains via centrifugation at 13,000 rpm. The resulting pellets were weighted and placed in a covered glass tube, then mixed with 5 mL of 80% ice acetone at 4 °C for 24 h. After centrifugation at 13,000 rpm for 3 min, we collected the supernatants for analysis. The pigments were estimated using the established protocols of Metzner, et al. [73] and Pflanz, et al. [74], while spectrophotometric measurements were taken at 480, 645, and 663 nm.

3.3.3. Estimation of Carbohydrates Content

The levels of soluble carbohydrates were quantitatively estimated in Synechocystis and Chlorella samples using the method described by Al Jaouni, et al. [75]. During the exponential growth phase, 2 mL of Synechocystis and Chlorella cultures were extracted in ethanol (80% v/v) by boiling for 30 S three times and once at room temperature. The derived samples were resuspended in dH2O, and the supernatants were kept at 20 °C for further investigation. The concentration of soluble sugars was determined using a Coulter PACE system 5500 and detected using a diode array detector. The concentrations of soluble sugars were calculated using the corresponding standards (glucose, fructose, and sucrose).

3.3.4. Estimation of Organic Acids Content

To extract organic acids from Synechocystis and Chlorella strains, a mixture of 0.3% (w/v) butylated hydroxy anisole and 0.1% phosphoric acid was used. The concentrations of citric, succinic, fumaric, and malic acids were estimated using HPLC with a SUPELCOGEL C-610H column and a UV detection system set at 210 nm. The mobile phase was 0.1% (v/v) phosphoric acid and was eluted at a rate of 0.45 mL/min. To identify and quantify the organic acids, oxalic, malic, succinic, citric, isobutyric, and fumaric acids were used as standards. This method used a LaChrom L-7455 diode array from LaChrom, Tokyo, Japan.

3.3.5. Estimation of Amino Acids Content

The amino acid content of Synechocystis and Chlorella cultures was analyzed using a modified extraction protocol. Two milliliters of the culture were mixed with 80% (v/v) aqueous ethanol containing an internal standard (norvaline) to compensate for any loss of amino acids during extraction. The mixture was centrifuged at 20,000 rpm for 20 min and the resulting pellet was resuspended in chloroform. The residue was then re-extracted with HPLC-grade water and the supernatant was combined with the chloroform-suspended pellet. After centrifugation and filtration through Millipore microfilters with 0.2 μm pore sizes, the amino acids were separated using a BEH amide column (2.1 mm × 50 mm) and quantified with a Waters Acquity UPLC-tqd mass spectrometer [76]. A list of amino acid standards, including glycine, alanine, isoleucine, leucine, methionine, valine, phenylalanine, glutamine, asparagine, threonine, serine, cystine, tyrosine, lysine, histidine, arginine, glutamic acid, and aspartate, was used for quantification.

3.3.6. Estimation of Fatty Acids

To extract fatty acids from Synechocystis and Chlorella biomass, 100 mg of biomass was mixed with 50% aqueous methanol at 25 °C. For identification, Gas Chromatography/Mass Spectrometry (GC/MS) analysis was conducted using an HP-5 MS column (30 µm × 0.25 µm × 0.25 µm) and a Hewlett Packard 6890 GC/MSD 5975 mass spectrometer. Fatty acid identification was performed using the NIST 05 database and the Golm Metabolome Database (http://gmd.mpimp-golm.mpg.de, accessed on 19 December 2022) [77]. A list of fatty acid standards, including myristic, palmitic, heptadecanoic, stearic, arachidic, docosanoic, tricosanoic, pentacosanoic, palmitoleic, heptadecenoic, oleic, linolenic, linoleic and eicosenoic, was used for calibration.

3.4. Statistical Analysis

All trials were set up in triplicate using a completely randomized design. The data are reported as (means ± standard error) and visualized using GraphPad Prism 8.4.2 software. One- and Two-Way ANOVA analyses (Tukey Test, p ≤ 0.05, 0.01, 0.001, 0.0001) were used for statistical analysis. Each experimental value was compared to the corresponding control value.

4. Conclusions

The current research demonstrates the potential use of Synechocystis PAK13 and Chlorella variabilis DT025 in a mixotrophic medium containing IAA to produce biomass-derived valuable products. Both species were resistant to acute IAA dosages. The results reveal that IAA exposure affects the primary metabolic profiles of the two species in different ways. The addition of a suitable hormone-appropriate concentration can help to meet the high irradiance needs for growth and higher production at high cell density. In these conditions, cell pigments were significantly higher than in autotrophic cultures. These findings indicate that photoautotrophic growth can be replaced with mixotrophic growth. In the presence of IAA, total soluble sugars accumulated significantly at low levels, resulting in increased protein and lipid content. There was a significant link between IAA dose and lipid accumulation in both strains, which was more pronounced in Chlorella. The significant lipid output of Chlorella, with a high proportion of SFA and USF, shows that it could be exploited as a promising strategy in biodiesel production. Furthermore, the benefits of the conceptual model as well as the economic potential of algal biofuel can be realized with continued industry development and the selection of a high lipid-content algae strain. In this way, the Chlorella strain constitutes a compelling argument for a successful industry application strain.

Author Contributions

Conceptualization, W.A.F. and H.A.; methodology, W.A.F., H.A., A.H.H., E.E., E.T., M.S.A., O.H. and K.N.M.E.; software, W.A.F. and H.A.; validation, E.E., O.H. and M.S.A.; formal analysis, K.N.M.E. and E.T; investigation, A.A.A.-A. and O.H.; resources, M.S.A. and O.H; data curation, W.A.F., and H.A; writing—original draft preparation, W.A.F., H.A., E.E., E.T., A.A.A.-A., M.S.A., O.H. and K.N.M.E.; writing—review and editing, W.A.F., H.A., A.H.H., E.E., E.T., A.A.A.-A., M.S.A., O.H. and K.N.M.E.; visualization, O.H., M.S.A. and H.A; supervision, A.A.A.-A., M.S.A. and O.H; project administration, O.H. and A.A.A.-A.; funding acquisition, H.A., A.H.H. and A.A.A.-A. All authors have read and agreed to the published version of the manuscript.

Funding

The authors extend their appreciation to the researcher supporting project number (RSP2023R505), King Saud University, Riyadh, Saudi Arabia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors express their sincere thanks to the researcher supporting project number (RSP2023R505), King Saud University, Riyadh, Saudi Arabia for funding this work.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Not applicable.

References

  1. Fathy, W.A.; Essawy, E.; Tawfik, E.; Omar, R.; Abdelhameed, M.S.; Hammouda, O.; Abdel-Raouf, N.; Elsayed, K.N. Overexpressing key enzymes in lipogenesis to boost microalgae cellular oil content for biofuel production, A mini-review. Int. Aquat. Res. 2022, 14, 81–94. [Google Scholar] [CrossRef]
  2. Garrido-Cardenas, J.A.; Manzano-Agugliaro, F.; Acien-Fernandez, F.G.; Molina-Grima, E. Microalgae research worldwide. Algal Res. 2018, 35, 50–60. [Google Scholar] [CrossRef]
  3. Chew, K.W.; Yap, J.Y.; Show, P.L.; Suan, N.H.; Juan, J.C.; Ling, T.C.; Lee, D.-J.; Chang, J.-S. Microalgae biorefinery: High value products perspectives. Bioresour. Technol. 2017, 229, 53–62. [Google Scholar] [CrossRef] [PubMed]
  4. Khan, M.I.; Shin, J.H.; Kim, J.D. The promising future of microalgae: Current status, challenges, and optimization of a sustainable and renewable industry for biofuels, feed, and other products. Microb. Cell Fact. 2018, 17, 36. [Google Scholar] [CrossRef] [PubMed]
  5. Kombe, G.G. An Overview of Algae for Biodiesel Production Using Bibliometric Indicators. Int. J. Energy Res. 2023, 2023, 9596398. [Google Scholar] [CrossRef]
  6. Tanwer, N.; Arora, V.; Bumbra, P.; Grewal, K.; Laura, J.S.; Khosla, B. Microalgae Biofuels: Challenges and Potential. In Biomass and Bioenergy Solutions for Climate Change Mitigation and Sustainability; IGI Global: Hershey, PA, USA, 2023; pp. 217–232. [Google Scholar]
  7. Fathy, W.A.; Techen, N.; Elsayed, K.; Essawy, E.; Tawfik, E.; Abdelhameed, M.S.; Hammouda, O.; Ross, S.A. Insights into random mutagenesis techniques to enhance biomolecule production in microalgae: Implications for economically viable bioprocesses. Int. Aquat. Res. 2023, 15, 85–102. [Google Scholar] [CrossRef]
  8. Yang, H.E.; Yu, B.S.; Sim, S.J. Enhanced astaxanthin production of Haematococcus pluvialis strains induced salt and high light resistance with gamma irradiation. Bioresour. Technol. 2023, 372, 128651. [Google Scholar] [CrossRef]
  9. Villaró, S.; Ciardi, M.; Morillas-España, A.; Sánchez-Zurano, A.; Acién-Fernández, G.; Lafarga, T. Microalgae derived astaxanthin: Research and consumer trends and industrial use as food. Foods 2021, 10, 2303. [Google Scholar] [CrossRef]
  10. Castiglia, D.; Landi, S.; Esposito, S. Advanced applications for protein and compounds from microalgae. Plants 2021, 10, 1686. [Google Scholar] [CrossRef]
  11. Toghueo, R.M.K. Microalgal Bioreactors for Pharmaceuticals Production. In Plants as Bioreactors for Industrial Molecules; John Wiley and Sons: Hoboken, NJ, USA, 2023; pp. 127–160. [Google Scholar]
  12. Rahman, K.M. Food and high value products from microalgae: Market opportunities and challenges. In Microalgae Biotechnology for Food, Health and High Value Products; Springer: Berlin/Heidelberg, Germany, 2020; pp. 3–27. [Google Scholar]
  13. Wu, Q.; Liu, L.; Miron, A.; Klímová, B.; Wan, D.; Kuča, K. The antioxidant, immunomodulatory, and anti-inflammatory activities of Spirulina: An overview. Arch. Toxicol. 2016, 90, 1817–1840. [Google Scholar] [CrossRef]
  14. Bishop, W.M.; Zubeck, H.M. Evaluation of microalgae for use as nutraceuticals and nutritional supplements. J. Nutr. Food Sci. 2012, 2, 5. [Google Scholar] [CrossRef] [Green Version]
  15. Abd El Baky, H.H.; El-Baroty, G. Healthy benefit of microalgal bioactive substances. J. Aquat. Sci. 2013, 1, 11–23. [Google Scholar]
  16. Wu, J.; Gu, X.; Yang, D.; Xu, S.; Wang, S.; Chen, X.; Wang, Z. Bioactive substances and potentiality of marine microalgae. Food Sci. Nutr. 2021, 9, 5279–5292. [Google Scholar] [CrossRef] [PubMed]
  17. Joshi, S.; Kumari, R.; Upasani, V.N. Applications of algae in cosmetics: An overview. Int. J. Innov. Res. Sci. Eng. Technol. 2018, 7, 1269. [Google Scholar]
  18. Siddiki, S.Y.A.; Mofijur, M.; Kumar, P.S.; Ahmed, S.F.; Inayat, A.; Kusumo, F.; Badruddin, I.A.; Khan, T.Y.; Nghiem, L.; Ong, H.C. Microalgae biomass as a sustainable source for biofuel, biochemical and biobased value-added products: An integrated biorefinery concept. Fuel 2022, 307, 121782. [Google Scholar] [CrossRef]
  19. Singh, A.; Nigam, P.S.; Murphy, J.D. Mechanism and challenges in commercialisation of algal biofuels. Bioresour. Technol. 2011, 102, 26–34. [Google Scholar] [CrossRef]
  20. Borowitzka, M.A.; Vonshak, A. Scaling up microalgal cultures to commercial scale. Eur. J. Phycol. 2017, 52, 407–418. [Google Scholar] [CrossRef]
  21. Gonçalves, A.L.; Pires, J.C.; Simões, M. A review on the use of microalgal consortia for wastewater treatment. Algal Res. 2017, 24, 403–415. [Google Scholar] [CrossRef]
  22. Fathy, W.A.; AbdElgawad, H.; Essawy, E.A.; Tawfik, E.; Abdelhameed, M.S.; Hammouda, O.; Korany, S.M.; Elsayed, K.N.M. Glycine differentially improved the growth and biochemical composition of Synechocystis sp. PAK13 and Chlorella variabilis DT025. Front. Bioeng. Biotechnol. 2023, 11, 1161911. [Google Scholar] [CrossRef]
  23. Maltsev, Y.; Maltseva, K. Fatty acids of microalgae: Diversity and applications. Rev. Environ. Sci. Bio/Technol. 2021, 20, 515–547. [Google Scholar] [CrossRef]
  24. Fathy, W.; Elsayed, K.; Essawy, E.; Tawfik, E.; Zaki, A.; Abdelhameed, M.; Hammouda, O. Biosynthesis of silver nanoparticles from Synechocystis sp. to be used as a flocculant agent with different microalgae strains. Curr. Nanomater. 2020, 5, 175–187. [Google Scholar] [CrossRef]
  25. Yan, N.; Wang, X.-Q.; Xu, X.-F.; Guo, D.-P.; Wang, Z.-D.; Zhang, J.-Z.; Hyde, K.D.; Liu, H.-L. Plant growth and photosynthetic performance of Zizania latifolia are altered by endophytic Ustilago esculenta infection. Physiol. Mol. Plant Pathol. 2013, 83, 75–83. [Google Scholar] [CrossRef]
  26. Glick, B.R. Plant growth-promoting bacteria: Mechanisms and applications. Scientifica 2012, 2012, 963401. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Yin, H.-C. Effect of auxin on Chlorella vulgaris and Studies on the Movement of Leaves. Ph.D. Thesis, California Institute of Technology, Pasadena, CA, USA, 1937. [Google Scholar]
  28. Vance, B.D. Phytohormone effects on cell division in Chlorella pyrenoidosa Chick (TX-7-11-05) (Chlorellaceae). J. Plant Growth Regul. 1987, 5, 169–173. [Google Scholar] [CrossRef]
  29. Czerpak, R.; Bajguz, A. Stimulatory effect of auxins and cytokinins on carotenes, with differential effects on xanthophylls in the green alga Chlorella pyrenoidosa Chick. Acta Soc. Bot. Pol. 1997, 66, 41–46. [Google Scholar] [CrossRef] [Green Version]
  30. Abinandan, S.; Subashchandrabose, S.R.; Venkateswarlu, K.; Megharaj, M. Soil microalgae and cyanobacteria: The biotechnological potential in the maintenance of soil fertility and health. Crit. Rev. Biotechnol. 2019, 39, 981–998. [Google Scholar] [CrossRef]
  31. Tan, C.-Y.; Dodd, I.C.; Chen, J.E.; Phang, S.-M.; Chin, C.F.; Yow, Y.-Y.; Ratnayeke, S. Regulation of algal and cyanobacterial auxin production, physiology, and application in agriculture: An overview. J. Appl. Phycol. 2021, 33, 2995–3023. [Google Scholar] [CrossRef]
  32. Gauthier, M.; Senhorinho, G.; Scott, J. Microalgae under environmental stress as a source of antioxidants. Algal Res. 2020, 52, 102104. [Google Scholar] [CrossRef]
  33. Ahmad, N.; Yasin, D.; Bano, F.; Fatma, T. Ameliorative effects of endogenous and exogenous indole-3-acetic acid on atrazine stressed paddy field cyanobacterial biofertilizer Cylindrospermum stagnale. Sci. Rep. 2022, 12, 11175. [Google Scholar] [CrossRef]
  34. Hashtroudi, M.S.; Ghassempour, A.; Riahi, H.; Shariatmadari, Z.; Khanjir, M. Endogenous auxins in plant growth-promoting Cyanobacteria—Anabaena vaginicola and Nostoc calcicola. J. Appl. Phycol. 2013, 25, 379–386. [Google Scholar] [CrossRef]
  35. Park, W.K.; Yoo, G.; Moon, M.; Kim, C.W.; Choi, Y.E.; Yang, J.W. Phytohormone supplementation significantly increases growth of Chlamydomonas reinhardtii cultivated for biodiesel production. Appl. Biochem. Biotechnol. 2013, 171, 1128–1142. [Google Scholar] [CrossRef] [PubMed]
  36. Leganés, F.; Sánchez-Maeso, E.; Fernández-Valiente, E. Effect of Indoleacetic Acid on Growth and Dinitrogen Fixation in Cyanobacteria. Plant Cell Physiol. 1987, 28, 529–533. [Google Scholar] [CrossRef]
  37. Ermavitalini, D.; Rahayu, A.E.; Kurniawan, H.B.; Prasetyo, E.N. Effect of Indole 3-Acetic Acid (IAA) and 6-Benzyl Amino Purine (BAP) on Nannochloropsis sp. culture growth. IOP Conf. Ser. Earth Environ. Sci. 2021, 649, 012003. [Google Scholar] [CrossRef]
  38. Hunt, R.W.; Chinnasamy, S.; Bhatnagar, A.; Das, K. Effect of biochemical stimulants on biomass productivity and metabolite content of the microalga, Chlorella sorokiniana. Appl. Biochem. Biotechnol. 2010, 162, 2400–2414. [Google Scholar] [CrossRef]
  39. Lebrazi, S.; Fadil, M.; Chraibi, M.; Fikri-Benbrahim, K. Screening and optimization of indole-3-acetic acid production by Rhizobium sp. strain using response surface methodology. J. Genet. Eng. Biotechnol. 2020, 18, 21. [Google Scholar] [CrossRef] [PubMed]
  40. Bunsangiam, S.; Thongpae, N.; Limtong, S.; Srisuk, N. Large scale production of indole-3-acetic acid and evaluation of the inhibitory effect of indole-3-acetic acid on weed growth. Sci. Rep. 2021, 11, 13094. [Google Scholar] [CrossRef]
  41. Meza, B.; de-Bashan, L.E.; Hernandez, J.-P.; Bashan, Y. Accumulation of intra-cellular polyphosphate in Chlorella vulgaris cells is related to indole-3-acetic acid produced by Azospirillum brasilense. Res. Microbiol. 2015, 166, 399–407. [Google Scholar] [CrossRef]
  42. González-Garcinuño, Á.; Sánchez-Álvarez, J.M.; Galán, M.A.; Martin del Valle, E.M. Understanding and optimizing the addition of phytohormones in the culture of microalgae for lipid production. Biotechnol. Prog. 2016, 32, 1203–1211. [Google Scholar] [CrossRef]
  43. Borowitzka, M.A.; Beardall, J.; Raven, J.A. The Physiology of Microalgae; Springer: Berlin/Heidelberg, Germany, 2016; Volume 6. [Google Scholar]
  44. Guldhe, A.; Renuka, N.; Singh, P.; Bux, F. Effect of phytohormones from different classes on gene expression of Chlorella sorokiniana under nitrogen limitation for enhanced biomass and lipid production. Algal Res. 2019, 40, 101518. [Google Scholar] [CrossRef]
  45. Salama, E.-S.; Jeon, B.-H.; Chang, S.W.; Lee, S.-H.; Roh, H.-S.; Yang, I.-S.; Kurade, M.B.; El-Dalatony, M.M.; Kim, D.-H.; Kim, K.-H. Interactive effect of indole-3-acetic acid and diethyl aminoethyl hexanoate on the growth and fatty acid content of some microalgae for biodiesel production. J. Clean. Prod. 2017, 168, 1017–1024. [Google Scholar] [CrossRef]
  46. Piotrowska-Niczyporuk, A.; Bajguz, A.; Zambrzycka, E.; Godlewska-Żyłkiewicz, B. Phytohormones as regulators of heavy metal biosorption and toxicity in green alga Chlorella vulgaris (Chlorophyceae). Plant Physiol. Biochem. 2012, 52, 52–65. [Google Scholar] [CrossRef] [PubMed]
  47. Rodrigues, D.B.; Mercadante, A.Z.; Mariutti, L.R.B. Marigold carotenoids: Much more than lutein esters. Food Res. Int. 2019, 119, 653–664. [Google Scholar] [CrossRef] [PubMed]
  48. Camacho, F.G.; Gómez, A.C.; Fernández, F.A.; Sevilla, J.F.; Grima, E.M. Use of concentric-tube airlift photobioreactors for microalgal outdoor mass cultures. Enzym. Microb. Technol. 1999, 24, 164–172. [Google Scholar] [CrossRef]
  49. Defez, R.; Andreozzi, A.; Romano, S.; Pocsfalvi, G.; Fiume, I.; Esposito, R.; Angelini, C.; Bianco, C. Bacterial IAA-delivery into medicago root nodules triggers a balanced stimulation of C and N metabolism leading to a biomass increase. Microorganisms 2019, 7, 403. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Ruiz-Sola, M.; Rodríguez-Concepción, M. Carotenoid biosynthesis in Arabidopsis: A colorful pathway. Arab. Book 2012, 10, e0158. [Google Scholar] [CrossRef] [Green Version]
  51. Mohamed, H.; Gomaa, E. Effect of plant growth promoting Bacillus subtilis and Pseudomonas fluorescens on growth and pigment composition of radish plants (Raphanus sativus) under NaCl stress. Photosynthetica 2012, 50, 263–272. [Google Scholar] [CrossRef]
  52. Casanova-Sáez, R.; Mateo-Bonmatí, E.; Ljung, K. Auxin Metabolism in Plants. Cold Spring Harb. Perspect. Biol. 2021, 13, a039867. [Google Scholar] [CrossRef]
  53. Li, X.; Liao, M.; Huang, J.; Xu, Z.; Lin, Z.; Ye, N.; Zhang, Z.; Peng, X. Glycolate oxidase-dependent H2O2 production regulates IAA biosynthesis in rice. BMC Plant Biol. 2021, 21, 326. [Google Scholar] [CrossRef]
  54. Kumudini, B.S.; Patil, S.V. Role of plant hormones in improving photosynthesis. Photosynth. Product. Environ. Stress 2019, 215–240. [Google Scholar] [CrossRef]
  55. Lin, H.; Li, Y.; Hill, R.T. Microalgal and bacterial auxin biosynthesis: Implications for algal biotechnology. Curr. Opin. Biotechnol. 2022, 73, 300–307. [Google Scholar] [CrossRef]
  56. Piotrowska-Niczyporuk, A.; Bajguz, A. The effect of natural and synthetic auxins on the growth, metabolite content and antioxidant response of green alga Chlorella vulgaris (Trebouxiophyceae). Plant Growth Regul. 2014, 73, 57–66. [Google Scholar] [CrossRef] [Green Version]
  57. Duca, D.R.; Glick, B.R. Indole-3-acetic acid biosynthesis and its regulation in plant-associated bacteria. Appl. Microbiol. Biotechnol. 2020, 104, 8607–8619. [Google Scholar] [CrossRef] [PubMed]
  58. Gibala, M.; Young, M.; Taegtmeyer, H. Anaplerosis of the citric acid cycle: Role in energy metabolism of heart and skeletal muscle. Acta Physiol. Scand. 2000, 168, 657–665. [Google Scholar] [CrossRef] [PubMed]
  59. Araújo, W.L.; Nunes-Nesi, A.; Nikoloski, Z.; Sweetlove, L.J.; Fernie, A.R. Metabolic control and regulation of the tricarboxylic acid cycle in photosynthetic and heterotrophic plant tissues. Plant Cell Environ. 2012, 35, 1–21. [Google Scholar] [CrossRef] [Green Version]
  60. Li, G.-X.; Wu, X.-Q.; Ye, J.-R.; Yang, H.-C. Characteristics of Organic Acid Secretion Associated with the Interaction between Burkholderia multivorans WS-FJ9 and Poplar Root System. BioMed Res. Int. 2018, 2018, 9619724. [Google Scholar] [CrossRef] [Green Version]
  61. Yadav, P.; Chauhan, A.K.; Singh, R.B.; Khan, S.; Halabi, G. Chapter 22—Organic acids: Microbial sources, production, and applications. In Functional Foods and Nutraceuticals in Metabolic and Non-Communicable Diseases; Singh, R.B., Watanabe, S., Isaza, A.A., Eds.; Academic Press: Cambridge, MA, USA, 2022; pp. 325–337. [Google Scholar] [CrossRef]
  62. Kim, J.; Harter, K.; Theologis, A. Protein–protein interactions among the Aux/IAA proteins. Proc. Natl. Acad. Sci. USA 1997, 94, 11786–11791. [Google Scholar] [CrossRef]
  63. Song, X.; Liu, B.-F.; Kong, F.; Ren, N.-Q.; Ren, H.-Y. Overview on stress-induced strategies for enhanced microalgae lipid production: Application, mechanisms and challenges. Resour. Conserv. Recycl. 2022, 183, 106355. [Google Scholar] [CrossRef]
  64. Goh, B.H.H.; Ong, H.C.; Cheah, M.Y.; Chen, W.-H.; Yu, K.L.; Mahlia, T.M.I. Sustainability of direct biodiesel synthesis from microalgae biomass: A critical review. Renew. Sustain. Energy Rev. 2019, 107, 59–74. [Google Scholar] [CrossRef]
  65. Elsayed, K.N.M.; Kolesnikova, T.A.; Noke, A.; Klöck, G. Imaging the accumulated intracellular microalgal lipids as a response to temperature stress. 3 Biotech 2017, 7, 41. [Google Scholar] [CrossRef] [Green Version]
  66. Zhila, N.O.; Kalacheva, G.S.; Volova, T.G. Effect of salinity on the biochemical composition of the alga Botryococcus braunii Kütz IPPAS H-252. J. Appl. Phycol. 2011, 23, 47–52. [Google Scholar] [CrossRef] [Green Version]
  67. Onay, M. The effects of indole-3-acetic acid and hydrogen peroxide on Chlorella zofingiensis CCALA 944 for bio-butanol production. Fuel 2020, 273, 117795. [Google Scholar] [CrossRef]
  68. Dao, G.-H.; Wu, G.-X.; Wang, X.-X.; Zhuang, L.-L.; Zhang, T.-Y.; Hu, H.-Y. Enhanced growth and fatty acid accumulation of microalgae Scenedesmus sp. LX1 by two types of auxin. Bioresour. Technol. 2018, 247, 561–567. [Google Scholar] [CrossRef] [PubMed]
  69. Winckelmann, D.; Bleeke, F.; Bergmann, P.; Klöck, G. Growth of Cyanobacterium aponinum influenced by increasing salt concentrations and temperature. 3 Biotech 2015, 5, 253–260. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Zhang, B.; Chen, J.; Su, Y.; Sun, W.; Zhang, A. Utilization of indole-3-acetic acid–secreting bacteria in algal environment to increase biomass accumulation of Ochromonas and Chlorella. Bioenerg. Res. 2022, 15, 242–252. [Google Scholar] [CrossRef]
  71. De-Bashan, L.E.; Antoun, H.; Bashan, Y. Involvement of Indole-3-Acetic Acid Produced by the Growth-Promoting Bacterium Azospirillum spp. In promoting growth of Chlorella vulgaris. J. Phycol. 2008, 44, 938–947. [Google Scholar] [CrossRef]
  72. Moran, R.; Porath, D. Chlorophyll determination in intact tissues using N,N-Dimethylformamide. Plant Physiol. 1980, 65, 478. [Google Scholar] [CrossRef] [Green Version]
  73. Metzner, H.; Rau, H.; Senger, H. Untersuchungen zur synchronisierbarkeit einzelner pigmentmangel-mutanten von Chlorella. Planta 1965, 65, 186–194. [Google Scholar] [CrossRef]
  74. Pflanz, M.; Zude, M. Spectrophotometric analyses of chlorophyll and single carotenoids during fruit development of tomato (Solanum lycopersicum L.) by means of iterative multiple linear regression analysis. Appl. Opt. 2008, 47, 5961–5970. [Google Scholar] [CrossRef]
  75. Al Jaouni, S.; Saleh, A.M.; Wadaan, M.A.; Hozzein, W.N.; Selim, S.; AbdElgawad, H. Elevated CO2 induces a global metabolic change in basil (Ocimum basilicum L.) and peppermint (Mentha piperita L.) and improves their biological activity. J. Plant Physiol. 2018, 224, 121–131. [Google Scholar] [CrossRef]
  76. Sinha, A.K.; Giblen, T.; AbdElgawad, H.; De Rop, M.; Asard, H.; Blust, R.; De Boeck, G. Regulation of amino acid metabolism as a defensive strategy in the brain of three freshwater teleosts in response to high environmental ammonia exposure. Aquat. Toxicol. 2013, 130–131, 86–96. [Google Scholar] [CrossRef]
  77. AbdElgawad, H.; Abuelsoud, W.; Madany, M.M.Y.; Selim, S.; Zinta, G.; Mousa, A.S.M.; Hozzein, W.N. Actinomycetes Enrich Soil Rhizosphere and Improve Seed Quality as well as Productivity of Legumes by Boosting Nitrogen Availability and Metabolism. Biomolecules 2020, 10, 1675. [Google Scholar] [CrossRef] [PubMed]
Molecules 28 05501 g001 550
Figure 1. The effect of different external IAA concentrations on the growth curve of (A) Synechocystis sp. and (B) Chlorella sp. The figure shows the average of three independent replicates ± SE.
Figure 1. The effect of different external IAA concentrations on the growth curve of (A) Synechocystis sp. and (B) Chlorella sp. The figure shows the average of three independent replicates ± SE.
Molecules 28 05501 g001
Molecules 28 05501 g002 550
Figure 2. Explaining the effect of different IAA concentrations on wet-weight content in Synechocystis sp. and Chlorella sp., Data are presented as an average of three independent replicates ± SE. The statistical significances p > 0.05, p ≤ 0.05, p ≤ 0.01 and p ≤ 0.0001 are marked by the symbols ns, *, ** and **** respectively.
Figure 2. Explaining the effect of different IAA concentrations on wet-weight content in Synechocystis sp. and Chlorella sp., Data are presented as an average of three independent replicates ± SE. The statistical significances p > 0.05, p ≤ 0.05, p ≤ 0.01 and p ≤ 0.0001 are marked by the symbols ns, *, ** and **** respectively.
Molecules 28 05501 g002
Molecules 28 05501 g003 550
Figure 3. Proving the effect of different IAA concentrations on carotenoids, chlorophyll a, and chlorophyll b content in (A) Synechocystis sp. and (B) Chlorella sp. Data are presented as an average of three independent replicates ± SE. The statistical significances p > 0.05, p ≤ 0.05, p ≤ 0.01 and p ≤ 0.001 are marked by the symbols ns, *, ** and *** respectively.
Figure 3. Proving the effect of different IAA concentrations on carotenoids, chlorophyll a, and chlorophyll b content in (A) Synechocystis sp. and (B) Chlorella sp. Data are presented as an average of three independent replicates ± SE. The statistical significances p > 0.05, p ≤ 0.05, p ≤ 0.01 and p ≤ 0.001 are marked by the symbols ns, *, ** and *** respectively.
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Figure 4. The effects of different IAA (µM) concentrations on fructose, glucose, and sucrose content (mg/g) in Synechocystis sp. and Chlorella sp. The sunburst shows the average of three independent replicates.
Figure 4. The effects of different IAA (µM) concentrations on fructose, glucose, and sucrose content (mg/g) in Synechocystis sp. and Chlorella sp. The sunburst shows the average of three independent replicates.
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Figure 5. The effect of different IAA concentrations on organic acids content (mg/g) in Synechocystis sp. and Chlorella sp. The heatmap shows the average of three independent replicates.
Figure 5. The effect of different IAA concentrations on organic acids content (mg/g) in Synechocystis sp. and Chlorella sp. The heatmap shows the average of three independent replicates.
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Figure 6. Illustration of the effects of external different IAA concentrations by µM on different types of amino acids content (mg/g) in Synechocystis sp. and Chlorella sp. The heatmap shows the average of three independent replicates. The red key refers to nonpolar amino acids, green key refers to polar amino acids, the yellow key refers to basic or positively-charged amino acids, and the pink key refers to acidic or negatively charge amino acids.
Figure 6. Illustration of the effects of external different IAA concentrations by µM on different types of amino acids content (mg/g) in Synechocystis sp. and Chlorella sp. The heatmap shows the average of three independent replicates. The red key refers to nonpolar amino acids, green key refers to polar amino acids, the yellow key refers to basic or positively-charged amino acids, and the pink key refers to acidic or negatively charge amino acids.
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Table
Table 1. Showing the effect of external different IAA concentrations on cells IAA hormone in Synechocystis sp. and Chlorella sp. The data are presented as means ± S.E. (n = 3), with different letters indicating a significant difference (p < 0.05) between the strain subjected to the IAA dose and the control strain.
Table 1. Showing the effect of external different IAA concentrations on cells IAA hormone in Synechocystis sp. and Chlorella sp. The data are presented as means ± S.E. (n = 3), with different letters indicating a significant difference (p < 0.05) between the strain subjected to the IAA dose and the control strain.
StrainIAA Dose (µM)IAA Mean ± SE (mg/g)
Synechocystis sp. 00.103 ± 0.002
0.360.120 ± 0.004 a
0.710.107 ± 0.003 a
1.420.133 ± 0.007 b
2.840.139 ± 0.004 b
5.690.236 ± 0.012 b
Chlorella variabilis01.724 ± 0.116
0.362.253 ± 0.055 b
0.713.327 ± 0.127 b
1.424.441 ± 0.131 a
2.844.706 ± 0.053 a
5.695.807 ± 0.136 b
Table
Table 2. Estimated total soluble sugars and glycogen content in Synechocystis sp. and Chlorella sp. grown under different concentrations of IAA for 14 days. The data are presented as means ± S.E. (n = 3), with different letters indicating a significant difference (p < 0.05) between the strain subjected to the IAA dose and the control strain.
Table 2. Estimated total soluble sugars and glycogen content in Synechocystis sp. and Chlorella sp. grown under different concentrations of IAA for 14 days. The data are presented as means ± S.E. (n = 3), with different letters indicating a significant difference (p < 0.05) between the strain subjected to the IAA dose and the control strain.
StrainIAA Dose (µM)Total S Sugars (mg/g)Glycogen Content (mg/g)
Mean ± SEMean ± SE
Synechocystis sp.03.03 ± 0.0248.44 ± 0.36
0.363.66 ± 0.12 a59.54 ± 0.71 a
0.713.54 ± 0.51 a62.19 ± 5.23 a
1.424.63 ± 0.27 b71.25 ± 3.38 a
2.844.45 ± 0.29 a72.78 ± 4.04 b
5.692.03 ± 0.15 b36.49 ± 2.14 a
Chlorella variabilis03.48 ± 0.183.54 ± 0.16
0.363.58 ± 0.04 a3.90 ± 0.21 a
0.713.40 ± 0.35 a3.50 ± 0.29 b
1.424.07 ± 0.25 b4.17 ± 0.21 a
2.842.85 ± 0.30 b3.10 ± 0.21 a
5.692.62 ± 0.34 a2.94 ± 0.24 a
Table
Table 3. Estimated saturated fatty acids content (mg/g) in Synechocystis sp. and Chlorella sp. grown under different concentrations of IAA for 14 days. The data are presented as means ± SE. (n = 3), with different letters indicating a significant difference (p < 0.05) between the strain subjected to the IAA dose and the control strain.
Table 3. Estimated saturated fatty acids content (mg/g) in Synechocystis sp. and Chlorella sp. grown under different concentrations of IAA for 14 days. The data are presented as means ± SE. (n = 3), with different letters indicating a significant difference (p < 0.05) between the strain subjected to the IAA dose and the control strain.
StrainIAA Dose (µM)Myristic (C14:0)Palmitic (C16:0)Heptadecanoic (C17:0)Stearic (C18:0)Arachidic (C20:0)Docosanoic (C22:0)Tricosanoic (C23:0)Pentacosanoic (C25:0)Sum of Saturated FA ± SE
Mean ± SEMean ± SEMean ± SEMean ± SEMean ± SEMean ± SEMean ± SEMean ± SE
Synechocystis sp. 00.332 ± 0.00515.193 ± 0.3330.025 ± 0.0011.393 ± 0.0921.136 ± 0.0130.609 ± 0.0200.020 ± 0.0020.002 ± 0.000218.71
0.360.658 ± 0.006 b17.458 ± 0.643 b0.061 ± 0.002 b1.994 ± 0.104 b1.228 ± 0.175 a0.518 ± 0.054 a0.043 ± 0.004 a0.004 ± 0.0004 a21.96
0.710.449 ± 0.002 a15.801 ± 0.525 b0.028 ± 0.001 b1.674 ± 0.090 b1.282 ± 0.019 b0.563 ± 0.026 a0.023 ± 0.003 b0.002 ± 0.0003 a19.82
1.420.533 ± 0.002 a19.611 ± 0.991 a0.031 ± 0.001 a2.021 ± 0.110 b0.878 ± 0.014 a0.411 ± 0.033 a0.026 ± 0.003 a0.003 ± 0.0003 a23.51
2.840.765 ± 0.004 b25.423 ± 1.551 a0.038 ± 0.001 a1.511 ± 0.093 a0.812 ± 0.015 b0.565 ± 0.024 b0.035 ± 0.001 a0.003 ± 0.0003 b29.15
5.691.065 ± 0.003 b34.647 ± 1.755 b0.154 ± 0.005 a4.736 ± 0.253 b0.786 ± 0.017 a0.796 ± 0.039 a0.107 ± 0.013 a0.008 ± 0.0009 a42.30
Chlorella sp.00.313 ± 0.00316.254 ± 0.5970.061 ± 0.0031.262 ± 0.0541.225 ± 0.0430.462 ± 0.0770.040 ± 0.0050.004 ± 0.000519.62
0.360.630 ± 0.007 a16.606 ± 0.464 b0.026 ± 0.001 b1.227 ± 0.073 a0.957 ± 0.031 a0.385 ± 0.020 a0.020 ± 0.002 a0.002 ± 0.0002 a19.85
0.710.751 ± 0.050 a22.011 ± 2.131 b0.070 ± 0.007 a1.718 ± 0.167 b1.068 ± 0.111 a0.672 ± 0.043 b0.035 ± 0.006 a0.005 ± 0.0009 a26.33
1.420.478 ± 0.020 b30.749 ± 0.382 a0.083 ± 0.006 a2.371 ± 0.235 a1.290 ± 0.096 b0.823 ± 0.049 a0.055 ± 0.008 a0.014 ± 0.0010 b35.86
2.840.383 ± 0.002 b23.151 ± 0.809 a0.080 ± 0.003 a2.242 ± 0.118 b1.014 ± 0.016 a0.427 ± 0.020 a0.055 ± 0.006 a0.006 ± 0.0006 a27.36
5.690.262 ± 0.006 b31.679 ± 3.694 a0.051 ± 0.001 b3.254 ± 0.398 b1.375 ± 0.036 b0.645 ± 0.090 a0.060 ± 0.007 a0.017 ± 0.0035 a37.34
Table
Table 4. Estimated unsaturated fatty acids and total fatty acids content (mg/g) in Synechocystis and Chlorella grown under different concentrations of IAA for 14 days. The data are presented as means ± SE. (n = 3), with different letters indicating a significant difference (p < 0.05) between the strain subjected to the IAA dose and the control strain.
Table 4. Estimated unsaturated fatty acids and total fatty acids content (mg/g) in Synechocystis and Chlorella grown under different concentrations of IAA for 14 days. The data are presented as means ± SE. (n = 3), with different letters indicating a significant difference (p < 0.05) between the strain subjected to the IAA dose and the control strain.
StrainIAA Dose (µM)Palmitoleic (C16:1)Heptadecenoic (C17:1)Oleic
(C18:1)		Linolenic (C18:3)Linoleic (C18:2)Eicosenoic (C20:1)Sum of Unsaturated FA ± SETotal FA
Mean ± SEMean ± SEMean ± SEMean ± SEMean ± SEMean ± SE
Synechocystis sp. 00.06 ± 0.0080.138 ± 0.01327.631 ± 1.4244.719 ± 0.15617.780 ± 0.8790.876 ± 0.03851.20869.92
0.360.087 ± 0.009 a0.165 ± 0.012 b65.212 ± 1.371 a7.041 ± 0.459 a23.963 ± 1.644 b0.940 ± 0.067 a97.408119.37
0.710.075 ± 0.008 a0.099 ± 0.008 a35.940 ± 0.942 a4.645 ± 0.334 a16.334 ± 1.133 b0.649 ± 0.044 a57.74277.56
1.420.055 ± 0.008 a0.151 ± 0.013 a40.946 ± 1.160 a6.220 ± 0.229 a20.856 ± 0.522 a0.813 ± 0.019 a69.04192.55
2.840.085 ± 0.004 b0.169 ± 0.016 a42.343 ± 0.748 b7.107 ± 0.545 b23.923 ± 2.148 b0.933 ± 0.091 a74.560103.71
5.690.280 ± 0.030 b0.143 ± 0.013 a50.144 ± 1.826 a8.508 ± 0.644 a31.824 ± 2.312 b1.295 ± 0.093 a92.193134.49
Chlorella sp.00.093 ± 0.0040.148 ± 0.01533.155 ± 1.5897.239 ± 0.28525.670 ± 0.6151.023 ± 0.02067.32886.95
0.360.061 ± 0.008 a0.152 ± 0.016 b30.122 ± 1.463 a7.049 ± 0.620 a24.703 ± 2.038 b0.981 ± 0.079 a63.06882.92
0.710.108 ± 0.003 a0.150 ± 0.023 b47.689 ± 1.811 a6.961 ± 0.58 a24.297 ± 1.521 b0.962 ± 0.052 a80.168106.50
1.420.138 ± 0.009 a0.207 ± 0.026 a38.204 ± 3.362 b13.143 ± 0.888 b49.825 ± 2.767 b2.038 ± 0.104 b103.556139.42
2.840.150 ± 0.004 a0.215 ± 0.017 a45.462 ± 1.999 b9.092 ± 0.656 a30.776 ± 2.435 b1.204 ± 0.100 b86.898114.26
5.690.119 ± 0.017 a0.264 ± 0.026 a52.388 ± 0.689 a19.356 ± 1.383 b75.619 ± 5.012 b3.126 ± 0.202 b150.871188.21
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MDPI and ACS Style

Fathy, W.A.; AbdElgawad, H.; Hashem, A.H.; Essawy, E.; Tawfik, E.; Al-Askar, A.A.; Abdelhameed, M.S.; Hammouda, O.; Elsayed, K.N.M. Exploring Exogenous Indole-3-acetic Acid’s Effect on the Growth and Biochemical Profiles of Synechocystis sp. PAK13 and Chlorella variabilis. Molecules 2023, 28, 5501. https://doi.org/10.3390/molecules28145501

AMA Style

Fathy WA, AbdElgawad H, Hashem AH, Essawy E, Tawfik E, Al-Askar AA, Abdelhameed MS, Hammouda O, Elsayed KNM. Exploring Exogenous Indole-3-acetic Acid’s Effect on the Growth and Biochemical Profiles of Synechocystis sp. PAK13 and Chlorella variabilis. Molecules. 2023; 28(14):5501. https://doi.org/10.3390/molecules28145501

Chicago/Turabian Style

Fathy, Wael A., Hamada AbdElgawad, Amr H. Hashem, Ehab Essawy, Eman Tawfik, Abdulaziz A. Al-Askar, Mohamed S. Abdelhameed, Ola Hammouda, and Khaled N. M. Elsayed. 2023. "Exploring Exogenous Indole-3-acetic Acid’s Effect on the Growth and Biochemical Profiles of Synechocystis sp. PAK13 and Chlorella variabilis" Molecules 28, no. 14: 5501. https://doi.org/10.3390/molecules28145501

APA Style

Fathy, W. A., AbdElgawad, H., Hashem, A. H., Essawy, E., Tawfik, E., Al-Askar, A. A., Abdelhameed, M. S., Hammouda, O., & Elsayed, K. N. M. (2023). Exploring Exogenous Indole-3-acetic Acid’s Effect on the Growth and Biochemical Profiles of Synechocystis sp. PAK13 and Chlorella variabilis. Molecules, 28(14), 5501. https://doi.org/10.3390/molecules28145501

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