Home Microbial dynamics and dehydrogenase activity in tomato (Lycopersicon esculentum Mill.) rhizospheres: Impacts on growth and soil health across different soil types
Article Open Access

Microbial dynamics and dehydrogenase activity in tomato (Lycopersicon esculentum Mill.) rhizospheres: Impacts on growth and soil health across different soil types

  • Kamal Hassan Suliman , Abdel-Rhman Z. Gaafar EMAIL logo , Abdelmalik M. Abdelmalik , Bandar M. AlMunqedhi , Abdalla Elzein and Mohamed S. Hodhod
Published/Copyright: March 26, 2024

Abstract

The dehydrogenase activity (DHA) in the rhizospheres of tomatoes grown in different soil types – Khor Abu-Habil (KA), Bara (B), and Greenhouse (Gr) – in North Kordofan, Sudan, was determined. In addition, the abundance of soil microbes in the tomato rhizospheres during the two growth stages, after 45 and 90 days (short and long term), was analyzed. The KA site (clay soil) showed the highest DHA (81.79 CFUs/g) followed by the B site (63.76 CFUs/g) (sandy loam) after 90 days of sowing, and the Gr site showed the lowest DHA (44.50 CFUs/g) (loamy sand soil) after 45 days. Moreover, the presence of high microbial activity (total density counts, total fungi, phosphate-solubilizing bacteria, Streptomycetes sp., Azotobacter sp., Azospirillum sp., and Pseudomonas sp. density counts) after 90 days and minimum microbial abundance after 45 days were identified at all sites. The measured growth parameters of fresh and dry weight, in addition to the root-to-shoot ratio, increased significantly at the same KA site dominated by a higher microbial density after 90 days. During the long term, the growth stage was positively affected by the abundance of adapted microbials that improve and enhance plant growth.

1 Introduction

Soil enzyme activity is controlled by soil factors such as nutrient availability, soil microbial activity, and land use management procedures, all of which alter the capacity for soil enzyme-mediated substrate catalysis [1]. The dehydrogenase enzyme is one of the endocellular enzymes present in all living cells, which is essential in catalyzing the biological oxidation of organic compounds [2,3] produced by soil microorganisms, and is a natural catalyst for many important processes that occur in soil, including the formation of organic matter and decomposition of humus [4]. Soil dehydrogenase activity (DHA) is an indication of the soil’s microbiological redox system and microbial oxidative activities [5]. It measures microbial activity in semiarid conditions and reflects soil respiratory activity [6,7]. As an active component of organic matter, microbial biomass participates in the transformation and accumulation of nutrients in the soil; it also serves as a good measurement of organic matter turnover and biological activity in forest and agricultural ecosystems [8], and DHA and microbe activity that are positively influenced by organic matter and organic manure [3].

DHA is one of the main components of soil enzymatic activity that participates in biogeochemical cycles and ensures the correct sequence of all biochemical pathways [9]; it is also one of the intracellular enzymes in the soil [10] and serves as an indicator of soil quality positively related to microbial activity and soil biomass [9,11]. Soil microbial activity is commonly used to assess disturbed soil [12].

Soil microbial communities play a key role in every ecosystem around the world, establishing feedback processes with plants that influence nutrient cycling [13] and plant growth [14]. Soil microbial activity directly influences ecosystem stability and fertility, and it is widely accepted that a good level of microbiological activity is essential to maintain soil quality and fertility [15,16] and microbial activity, increase water holding capacity, improve soil aeration, and regulate water infiltration rates, as well as to provide important macro and micronutrients [15]. Microbial communities are generally in competition in the rhizosphere of plants, which in turn can be negatively or positively influenced [17,18].

The biological oxidation of organic compounds produced by microorganisms then transfers hydrogen and electrons through a chain of intermediate electron carriers to oxygen as a final electron acceptor [9]. Free radicals and H2O2, or acceptors are introduced as triphenyl tetrazolium chloride (TTC), which is reduced to triphenyl formazan (TPF) [19]. This trial attempted to use TTC salt as a substrate and receptor for hydrogen electrons, which expresses microbial activity in the soil.

The most common laboratory procedures used for soil DHA determination are TTC [10] and Indo nitro tetrazolium violet [9], which can specify the flow of electrons. They are useful indicators of electron transport system activity which is carried out with the reduction of colorless water-soluble substrate (TTC) by dehydrogenase present in the soil environment, resulting in the formation of an insoluble product with red color (TPF). Redo-sensitive tetrazolium dye is reduced to insoluble formazan inside the cells as a result of respiratory activity, and then, red TPF salt is formed in microbial cells when TTC irons react with hydrogen atoms; they can be extracted from cells using an organic solvent [20].

TPF can be easily quantified calorimetrically in visible light (485 nm) [10]. The determination of DHA in soil samples provides us with a vast amount of information on the biological characteristics of the soil; it was confirmed that although oxygen and other electron acceptors can be used by dehydrogenase, most of parts of the enzyme are produced by anaerobic microorganisms. In other words, soil DHA significantly increases under anaerobic conditions [10].

Different biotic and abiotic factors, such as incubation time, temperature before incubation, soil aeration, and moisture content, have a significant effect on DHA in soil: the highest DHA was reported in forest soil [9]; considerably low activity was reported in degraded soil from most of the eroded slopes; exponential decreases in enzymatic hydrolytic activities were found in eroded soil [21]. Soil microbial activities over time are influenced by factors including pH, high levels of phenols in acidic soils and water deficit in calcareous soils [8]; changes in nutrient components, interactions, and mechanisms [13]; microbial competition [22]; and soil properties such as pH and nutrients content [23].

A novel approach to understand the underlying principles of increasingly complicated biotrophic interactions is to use bacterial and fungal isolates and their consortia to directly relate the effect to the microorganism species.

This study aimed (i) to assess the effects of microorganisms in two stages of tomato growth under natural non-treatment in different soil conditions and (ii) to identify the action of the association between DHA and soil microbials, as well as soil fertility.

2 Materials and methods

2.1 Experimental design

This study was conducted at three locations with different soils, two in the open fields area and the third site under greenhouse conditions (size of each site: 7 m × 7 m). Plants were grown in a block 7 m × 7 m, 80 cm depth filled with sandy soil, and were normally watered, and the temperature was around 20–27°C in six rows (three replicates for each stage). Soil samples were randomly taken from the plant rhizosphere for each site after 45 and 90 days from the sowing date.

2.2 Study area and sampling

Soil samples were taken from the tomato plant rhizosphere at two growth stages, after 45 and 90 days from the sowing date of the local cultivar in an open field at the Khor Abu-Habil (KA) site, 90 km south east of El Obeid (Longitude 30°38′1 E, Latitude 12°43′18 N); Bara (B) site, 57 km north east of El Obeid (Longitude 30°22′20.55″ E, Latitude 13°41′55.13″ N); and Greenhouse (Gr) condition site in El Obeid (Longitude 30°12′59.95″ E, Latitude 13°10′41.57″ N). All soil samples were taken from the surface layer (0–20 cm) in ice-box polyethylene bags and immediately transferred to the laboratory.

KA site is distinguished by cracks and clay soil, which is influenced by seasonal flooded water and is covered with shrubs and grass in summer; B site is characterized by silt, loamy, sand soil, ground water near to the soil surface, and good conditions for growing vegetables and citrus trees. Under Gr conditions, sand soil without any treatment was used with normal irrigation.

2.3 Measurement of DHA

The activity of the dehydrogenase enzyme was measured using the Thalmann method described by [9,20,24]. The dehydrogenase assay is based on the use of TTC to replace atmospheric O2 with an H acceptor during oxidation.

Briefly, 2 mL of TTC solution (3%) and 0.1% CaCO3, per weight 10 g of soil, were prepared in a 250 mL Erlenmeyer flask and incubated at 37°C for 24 h; it was later extracted with methanol and the contents of the flasks were filtered. The absorbance was read at 485 nm, and the corresponding concentrations were measured from the standard curve.

2.4 Standard curve

The curve was shifted according to 1.0 mg triphenyl formosan, which requires 150.35 mg of H2. Then, 0.04 g of TPF was dissolved in 50 mL of distilled water and a set of seven solutions (eight concentrations) was prepared. A standard curve was developed from the solutions of TPF and ethyl alcohol with different concentrations. Finally, the optical densities of the prepared solutions were measured (in duplicate) using a spectrophotometer at a wavelength of 485 nm and plotted against the known concentrations of TPF (mg/L), as shown in (Figure 1). A blank sample of ethanol was used to zero the spectrophotometer.

Figure 1 
                  Standard curve.
Figure 1

Standard curve.

2.5 Microbial determination

Microbial abundance was assessed through culture-based techniques, involving specific methods for different types of microorganisms. Total microbial counts were determined using nutrient agar (Difico) following the approach described by [25]. Total fungi were enumerated using rose Bengal medium as outlined by [26]. Phosphate-dissolving bacteria were identified on modified Bunt and Rovira medium [27]. Streptomyces sp. counts were conducted using the method detailed by [28], while Azotobacter sp. were identified on modified Ashby medium [29]. In addition, Azospirillum sp. [29,30] and Pseudomonas sp. [27] were determined using their respective specified techniques.

2.6 Growth parameters

The seeds of the local cultivar, tomato (Lycopersicon esculentum), were grown at two open field sites with different soil characteristics, KA and B, which were irrigated via rainfall and normal watering, respectively, and a third site under greenhouse conditions (Gr) in El Obeid. All sites were (7 m × 7 m) in size. No treatments were added to the soil at all sites, leaving the plant to grow on original nutrients and organic substrates in the soil. After 45 and 90 days from the sowing date (establishing seedlings and mature stages), fresh weights of shoots (shoot Fr.wt.) and roots (roots Fr.wt.), dry weights of shoots (shoot Dr.wt.), roots (roots Dr.wt.), and roots-to-shoots ratio (RS ratio) per plant were randomly taken.

2.7 Soil analysis

Some soil analyses, such as mechanical analysis [31], total nitrogen, available phosphorus, available potassium, organic carbon, organic matter, pH, and electrical conductivity (EC), were determined according to the standard methods of Sparks et al. [32].

2.8 Statistical analysis

Data from this study were analyzed as a factorial experiment in Complete Randomized Design using the Statistix 8 program. Means were separated using the least significant difference and Tukey’s test at (p < 0.05).

3 Results and discussion

Measurement of soil enzyme activity may provide significant information about the primary reactions that slow down SOM degradation and nutrient transformation in the soil [33]. Because of their link to soil biology and simplicity of measurement, soil enzymes are widely used to assess soil quality [34]. The measurement of soil enzyme activity is critical for understanding soil microbial activity in relation to cropping system, moisture, and nutrient levels [35]. Since all species adopt different strategies to acquire sufficient water and nutrients for vegetative development and root growth, the root/shoot (R/S) ratio has a significant impact on ecological succession, thereby making it vital to comprehend the entire plant’s intricacy at the root and shoot levels. This study provides a method for assessing the biological behaviors of soil to determine the association between DHA and soil microbials, as well as soil fertility, in two stages of tomato growth, which were produced in three different sites under natural non-treatment conditions with diverse soil types.

3.1 Soil analysis

Experts across the world are becoming more interested in developing agricultural strategies that will improve soil quality. Any change in soil management or land use practices may modify the activity of soil enzymes [16]. The qualitative and quantitative content of root exudates is determined by plant species, cultivar, growth stage, and several environmental conditions such as temperature, pH, soil type, and microorganism availability [36,37]. Declining soil fertility is a major concern for agricultural sustainability, and most researchers’ attention is focused on the influence of nutrients and irrigation on crop output, with only a few studies conducted to analyze their effect on soil health. The results of the soil analysis, with considerable differences in several characteristics, are shown in Table 1. The soil textures were Gr loamy sand, B sandy loam, and KA clay soil. The results obtained in our study aligned with those of Diekow et al. [38]. Grasslands, fertilizations, and high biomass production have great potential to increase the content of C and N in soil. KA soil is characterized by high values of nitrogen and organic carbon (0.21 and 0.82%, respectively) when compared to the B and Gr sites; furthermore, the contents of organic matter (1.41%) and phosphorus (27.1 mg/kg) in KA soil suggest that it is characterized by an improved soil water holding capacity and nutrients availability in plant rhizosphere [39]. Except for Gr soil, potassium (197 mg/kg) appears to have a low content at both KA and B sites, which refers to the movement and exchangeability of K in clay soil [40]. Regarding soil PH, KA is better because, generally, enzyme activities tend to increase with soil pH.

Table 1

Selected physicochemical properties of the soil samples

Soil sample Sand, % Silt, % Clay, % Texture class Total N, % Available P, mg kg−1 Available K, mg kg−1 O.C., % O.M., % pH EC, ds/m
Gr 86.92 8.05 5.03 LS 0.0003 4.1 197 0.48 0.83 7.3 0.63
B 83.0 3.0 14 SL 0.02 14.4 140 0.72 1.12 6.5 0.2
KA 43.4 7.5 49.1 C 0.21 27.1 159 0.82 1.41 7.5 0.3

3.2 Measurement of DHA

Microbial enzymes help with both the transformation and mineralization of these nutrients. Soil or microbial enzymes are also in charge of managing soil toxicity and other pollution biotransformation processes [41,42]. These enzymes could be found either intracellularly or extracellularly in microbial cells. Soil enzymes initiate and maintain nutrient biogeochemical cycles, providing direct support for plant fertility, and healthy growth and development [43]. Dehydrogenase is the most important and vital indicator of microbial activity in soil. This enzyme is present intracellularly in all viable cells as a part of their respiratory system, playing a role in the measurement of the metabolic state of soil microbes [44]. The enzyme activity of dehydrogenase is among the most appropriate, crucial, and responsive soil fertility indicators [10]. Its activity depends on the same factors that affect the abundance and activity of microorganisms. Dehydrogenase enzyme primarily obligates anaerobic microbes in the soil, most abundantly in the genus Pseudomonas, particularly in Pseudomonas entomophila [45]. It participates in oxidation-reduction reactions in the soil by transferring electrons from substrate to acceptors.

The results from the standard curve indicate that higher values were found at all sites after 90 days compared to 45 days; KA site recorded a higher value (81.79), followed by the B site (63.75), and the lowest values were found in Gr site (44.50) mg H2/g after 24 h; after 45 days, all sites recorded the least values. The obtained results on soil character indicate that fertile soil and organic matter content encourage microbial activity in the plant rhizosphere (root zones) at the KA site, which is similar to that reported by [46]. Poorer soils with less DHA activity (Table 2) contain less organic matter and a low pH status, which leads to a decrease in microbial activity [47].

Table 2

DHA values obtained from selected soils

Soil types (days) DHA values ABS (485) (nm)
KA 45 40.2 ± 3.05
KA 90 81.79 ± 6.81
B 45 23.4 ± 2.13
B 90 63.75 ± 5.95
Gr 45 10.5 ± 0.84
Gr 90 44.50 ± 3.76

3.3 Microbial determination

The vast spectrum of soil microorganisms and their activities are critical to the soil’s survival as well as fort biogeochemical cycles. Soil microorganisms serve as microbial indices to measure and enhance soil health [48]. Plants only take up specific kinds of nutrients from the soil’s nutrient pool. Nutrients that are necessary may exist in inaccessible forms [49]. Soil organic matter is a vast reservoir of nutrients, the majority of which are in inaccessible forms. Soil microorganisms play an important role in the biotransformation of these inaccessible nutrient forms to available forms [50,51].

The KA site was distinguished by an overall high clay percentage and higher microbial activity at two tomato growth stages compared to the other sites; this is attributed to the presence of organic compounds and secretion roots (Figure 2a–c). Dehydrogenase enzymes appear to be associated with microbial activity that is involved in the initial breakdown of organic matter [9]; it is also dependent on the metabolic state of the soil or the biological activity of the microbial population [52].

Figure 2 
                  Microbial communities (CFU g−1 soil) in tomato rhizosphere. (a) Total density counts, (b) total fungi counts and (c) Streptomycetes density counts at three sites, (KA) Khor Abu-Habil, (B) Bara, and (Gr) greenhouse conditions in El Obeid.
Figure 2

Microbial communities (CFU g−1 soil) in tomato rhizosphere. (a) Total density counts, (b) total fungi counts and (c) Streptomycetes density counts at three sites, (KA) Khor Abu-Habil, (B) Bara, and (Gr) greenhouse conditions in El Obeid.

The results indicate that the highest total density counts (Figure 2a) occurred at the KA site after 90 and 45 days (184.6 × 108, 120.3 × 108 CFU g−1, respectively) followed by Gr after 90 days (107.3 × 108 CFU g−1), while the lowest counts were recorded in Gr site after 45 days (69.3 × 108 CFU g−1). High total density fungi (Figure 2b) were registered at the KA site after 90 days (120.3 × 104 CFU g−1), followed by Gr after 90 days (83.6 × 104 CFU g−1) and minimum density counts were found in Gr after 45 days (15 × 104 CFU g−1). Figure 2c shows that greater Streptomyces sp. density counts were observed at the KA site during 90 and 45 days (79.6 × 103 and 67.3 × 103 CFU g−1, respectively), followed by the B site after 90 days (44.3 × 103 CFU g−1), and both the B and Gr sites recorded few cell counts (28 × 103 CFU g−1) after 45 days. Environmental factors such as soil structure, texture, moisture, and nutrients certainly influenced the soil microbial activity and DHA. Soils with organic substrates, plant residues, and suitable soil moisture (fertile soil) appear to have high microbial activities, thus leading to their high values of dehydrogenase enzyme, which is different than non-fertile soil or poor soil.

Figure 3a shows that the highest density counts of phosphorus-solubilizing bacteria (PSB) sp. were observed at the KA site after 90 days (85.6 × 104) followed by the B site at the same stage (74.3 × 104), and the minimum density was recorded in Gr after 45 days (49 × 104 CFU g−1). Maximum counts of Azotobacter sp. density counts were shown at the KA site after 90 and 45 days (36.6 × 103 and 35 × 103 CFU g−1, respectively) and minimum bacteria counts were found in the B and Gr sites (12.3 × 103 and 11 × 103 CFU g−1, respectively) after 45 days (Figure 3b). High Azosipirllum density counts (Figure 3c) were found at the KA and B sites after 90 days (84.6 × 102 and 79.6 × 102, respectively), followed by the KA site after 45 days (66.6 × 102), and lower counts were observed in Gr after 45 days (13 × 102) CFU g−1). Pseudomonas density counts (Figure 3d) were slightly higher in the KA site followed by the B site after 90 days (73 × 10 and 64 × 10 CFU g−1, respectively) compared to the earlier growth stage in all sites.

Figure 3 
                  Microbial communities (CFU g−1 soil) in the tomato rhizosphere. (a) PSB density counts, (b) Azotobacter density counts, (c) Azospirillum density counts, and (d) Pseudomonas density counts at three sites (KA) Khor Abu-Habil, (B) Bara, and (Gr) greenhouse conditions in El Obeid.
Figure 3

Microbial communities (CFU g−1 soil) in the tomato rhizosphere. (a) PSB density counts, (b) Azotobacter density counts, (c) Azospirillum density counts, and (d) Pseudomonas density counts at three sites (KA) Khor Abu-Habil, (B) Bara, and (Gr) greenhouse conditions in El Obeid.

Due to the type, structure, and character of the KA site soil, there are greater microbial populations in the two tomato growth stages (after 90 and 45 days). Microbial activity varies mainly due to root and soil types [38,53]. Soil quality negatively affected tomato growth and productivity [54]. Raji and Thangavelu [29] found that potassium-solubilizing bacteria promoted tomato growth in different soil types. The increase in microbial counts in the plant rhizosphere with the development of the plant at certain stages [55], the alleviation of biotic stresses [53], and the impact of agriculture practice in the early stages of growth [56] further improves the growth and productivity [57]. Organic substrates, grasslands, and humus positively enhanced microbial activity and their populations [58,59]; soil pH and substrate quality [18]; and microbial communities differ across different habitat types [60].

3.4 Growth parameters

Results in Table 3 indicate significant differences (p < 0.05) between the measured parameters during the growth stages of the two plants (45 and 90 days) at the three sites due to different levels of microbial abundance. The abundance in the tomato rhizosphere significantly increased fresh and dry weight and RS after 90 days (mature stage) at three sites. The maximum value was observed for the fresh weight of shoots and roots at the KA site (153 and 19 g/plant, respectively), followed by KA after 45 days (127 and 15 g, respectively) and site B after 90 days (126 and 14 g, respectively), while Gr showed the minimum value for the weight of shoots and roots after 45 days (79 and 8 g/plant, respectively). The abundance positively reflects the increase in dry weight between the shoots and roots and RS ratio. The dry weight of the shoots and roots modified at the KA site after 90 days (30.6 and 9.8 g/plant, respectively) was the highest, while the lowest weight values were found after 45 days at all sites. Similarly, the KA site achieved a higher RS ratio at the mature stage (80%) and the lowest ratio was observed after 45 days at all sites. Generally, the presence of microbial abundance at the KA site positively influenced tomato growth compared to the B and Gr sites. In the long term, microbial activity had a better effect on growth than in the short term, thus enhancing the relationship with beneficial and symbiotic microorganisms. In the initial growth stage, the dominated microbes appear to have achieved a high completion of the search for a suitable host and colonized around the rhizosphere of smaller and finer roots affected by little root turnover and secretion and organic compounds. There is still time to adapt and tolerate new circumstances with high completion [61]. The microbial communities associated with organic amendment would enhance plant growth, promote better nutrient uptake and higher nutrient availability for plants [62], lead to higher microbial abundance in the plant rhizosphere in the long term than in the short term [63,64], increase agricultural productivity [65], and reduce disease severity and incidence [66]; shoot and root of tomato were positively affected by microbial biomass [67,68]. Particularly, in dominated microbes, root dry weight and RS ratio [69] and community structure [62] significantly increased. Our study shows that the abundance, communities, and activity are naturally higher in the long term (90 days) in the tomato root; thus, it reflects the positive effect that microbes have on plant growth by supplying nutrients, increasing absorption, releasing organic substrates, increasing symbiotic relationships and by providing pathogenic protection. Soil and plant microorganisms interacted and influenced one another in terms of soil application and plant productivity. This study discovered a relationship between microbial abundance and plant life stages and soil type. Seedlings and young plants have different root systems, which are less impacted by microbial abundance, compared to mature plants, wherein microbial abundance affects soil stability and plant output.

Table 3

Influence of microbial activity on tomato’s fresh and dry weights (g) and root to shoots ratio in the two stages (45 and 90 days)

Site × time Shoots Fr.wt Roots Fr.wt. Shoots Dr.wt. Roots Dr.wt RS ratio
KA 45 days 127.33B 15.333B 24.367B 7.8333B 0.4900B
KA 90 days 153.00A 19.000A 30.567A 9.8000A 0.8000A
B 45 days 100.67C 11.333C 16.667D 4.7333C 0.4900B
B 90 days 126.33B 14.333B 20.700C 6.8000B 0.4267BC
Gr 45 days 79.000D 8.0000D 11.067F 3.5333C 0.2267D
Gr 90 days 101.67C 11.667C 14.100E 4.5000C 0.3500BCD
LSD at 0.05 4.89 2.09 2.10 1.59 0.141

A, B, C, D – The mean difference is significant at the (p < 0.05) according to LSD test.

4 Conclusions

The correlation between DHA and soil microorganism abundance is influenced by various ecological factors and soil characteristics. Soils rich in organic substrates and plant residues, with minimal environmental alterations, create conditions conducive to microbial competition. Microbial abundance and DHA in the tomato rhizosphere exhibit variations depending on soil characteristics. The clay soil at the KA site demonstrated greater microbial abundance and DHA due to its favorable properties, followed by the B site. Conversely, the high percentage of poor sandy soil at the Gr site negatively influenced soil fertility. Our findings highlight elevated DHA and microbial activity during the long-term growth stage of 90 days in the tomato rhizosphere compared to the short-term stage of 45 days. Regardless of soil types, microbial abundance and dehydrogenase enzyme activity exert a more significant impact on tomato growth during the mature stage (long term) and exhibit lower activity during the establishment stage (short term) of plant life. Our research underscores the effectiveness of microbial activity in tandem with increased plant growth over time, influenced by plant root exudates and soil characteristics. In conclusion, our study suggests that DHA, correlated with the relative abundance of microbes, can enhance tomato growth when cultivated in soils with favorable properties. Future perspectives on microbial abundance and plant growth improvement should involve refining screening techniques, such as quantifying antioxidant enzymes, and conducting tests under diverse conditions, including varying soil moisture, temperatures, nutrient levels, and pH. Furthermore, evaluating the potential of microbial enhancement for various tomato species and other vegetable plants is crucial for advancing agricultural practices.


tel: +966-540329167

Acknowledgments

The authors extend their appreciation to the Researchers Supporting Project number RSPD2024R686, King Saud University, Riyadh, Saudi Arabia.

  1. Funding information: The authors extend their appreciation to the Researchers Supporting Project number RSPD2024R686, King Saud University, Riyadh, Saudi Arabia.

  2. Author contributions: Methodology and writing – original manuscript: KHS, AZG, and AMA, project validation: MSH and BMA, investigation: KHS, AZG, and AMA, and reviewing: KHS, AZG, and AMA.

  3. Conflict of interest: The authors declare no conflicts of interest.

  4. Ethical approval: The conducted research is not related to either human or animal use.

  5. Data availability statement: The data obtained in the present research are available from the corresponding author upon reasonable request.

References

[1] Kandeler F, Kampichler C, Horak O. Influence of heavy metals on the functional diversity of soil microbial communities. Biol Fert Soils. 1996;23(3):299–306.10.1007/BF00335958Search in Google Scholar

[2] Ghaly AE, Mahmoud NS. Optimum conditions for measuring dehydrogenase activity of aspergillus niger using TTC. Am J Biochem Biotechnol. 2006;2(4):186–94.10.3844/ajbbsp.2006.186.194Search in Google Scholar

[3] Järvan M, Edesi L, Adamson A, Võsa T. Soil microbial communities and dehydrogenase activity depending on farming systems. Plant, Soil Environ. 2014;60(10):459–63.10.17221/410/2014-PSESearch in Google Scholar

[4] Adamczyk B, Sietio OM, Strakova P, Prommer J, Wild B, Hagner M, et al. Plant roots increase both decomposition and stable organic matter formation in boreal forest soil. Nat Commun. 2019;10(1):3982.10.1038/s41467-019-11993-1Search in Google Scholar PubMed PubMed Central

[5] Casida LE, Klein DA, Santoro T. Soil dehydrogenase activity. Soil Sci. 1964;98(6):371–6.10.1097/00010694-196412000-00004Search in Google Scholar

[6] Garcia C, Hernandez T, Costa F. Microbial activity in soils under mediterranean environmental conditions. Soil Biol Biochem. 1994;26(9):1185–91.10.1016/0038-0717(94)90142-2Search in Google Scholar

[7] Bastida F, Luis Moreno J, Teresa H, García C. Microbiological degradation index of soils in a semiarid climate. Soil Biol Biochem. 2006;38(12):3463–73.10.1016/j.soilbio.2006.06.001Search in Google Scholar

[8] Bueis T, Bravo F, Pando V, Turrión MB. Relationship between environmental parameters and Pinus sylvestris L. site index in forest plantations in northern Spain acidic plateau. iForest - Biogeosci Forest. 2016;9(3):394–401.10.3832/ifor1600-008Search in Google Scholar

[9] Kumar S, Chaudhuri S, Maiti SK. Soil dehydrogenase enzyme activity in natural and mine soil-a review. Middle-East J Sci Res. 2013;13(7):898–906.Search in Google Scholar

[10] Wolinska A, Stepniewsk Z. Dehydrogenase activity in the soil environment. In: Canuto RA, editor. Dehydrogenases. Vienna, Austria: InTech; 2012.10.5772/48294Search in Google Scholar

[11] Trasar-Cepeda C, Hernández T, García C, Rad C, González-Carcedo S, (Editors). Soil enzymology in the recycling of organic wastes and environmental restoration. Berlin, Heidelberg: Springer; 2012.10.1007/978-3-642-21162-1Search in Google Scholar

[12] Alrumman SA, Standing DB, Paton GI. Effects of hydrocarbon contamination on soil microbial community and enzyme activity. J King Saud Univ Sci. 2015;27(1):31–41.10.1016/j.jksus.2014.10.001Search in Google Scholar

[13] Pugnaire FI, Morillo JA, Penuelas J, Reich PB, Bardgett RD, Gaxiola A, et al. Climate change effects on plant-soil feedbacks and consequences for biodiversity and functioning of terrestrial ecosystems. Sci Adv. 2019;5(11):eaaz1834.10.1126/sciadv.aaz1834Search in Google Scholar PubMed PubMed Central

[14] Bever JD, Dickie IA, Facelli E, Facelli JM, Klironomos J, Moora M, et al. Rooting theories of plant community ecology in microbial interactions. Trends Ecol Evol. 2010;25(8):468–78.10.1016/j.tree.2010.05.004Search in Google Scholar PubMed PubMed Central

[15] Alagöz G, Özer H, Pekşen A. Raised bed planting and green manuring increased tomato yields through improved soil microbial activity in an organic production system. Biol Agric Hortic. 2020;36(3):187–99.10.1080/01448765.2020.1771416Search in Google Scholar

[16] Ndiaye EL, Sandeno JM, McGrath D, Dick RP. Integrative biological indicators for detecting change in soil quality. Am J Altern Agric. 2009;15(1):26–36.10.1017/S0889189300008432Search in Google Scholar

[17] Poonia MK, Dhaka BL. Effect of phosphorus solublizing bacteria (PSB) on growth and yield in tomato. J Hortic Sci. 2012;7(1):104–7.10.24154/jhs.v7i1.404Search in Google Scholar

[18] Zhang K, Chen L, Li Y, Brookes PC, Xu J, Luo Y. Interactive effects of soil pH and substrate quality on microbial utilization. Eur J Soil Biol. 2020;96:103151.10.1016/j.ejsobi.2020.103151Search in Google Scholar

[19] Perotti EB. Impact of hydroquinone used as a redox effector model on potential denitrification, microbial activity and redox condition of a cultivable soil. Rev Argent Microbiol. 2015;47(3):212–8.10.1016/j.ram.2015.06.003Search in Google Scholar PubMed

[20] Januszek K, Długa J, Socha J. Dehydrogenase activity of forest soils depends on the assay used. Int Agrophysics. 2015;29(1):47–59.10.1515/intag-2015-0009Search in Google Scholar

[21] Onet A, Dincă LC, Grenni P, Laslo V, Teusdea AC, Vasile DL, et al. Biological indicators for evaluating soil quality improvement in a soil degraded by erosion processes. J Soils Sediment. 2019;19(5):2393–404.10.1007/s11368-018-02236-9Search in Google Scholar

[22] Hortal S, Bastida F, Moreno JL, Armas C, García C, Pugnaire FI. Benefactor and allelopathic shrub species have different effects on the soil microbial community along an environmental severity gradient. Soil Biol Biochem. 2015;88:48–57.10.1016/j.soilbio.2015.05.009Search in Google Scholar

[23] Lozano YM, Hortal S, Armas C, Pugnaire FI. Complementarity in nurse plant systems: soil drives community composition while microclimate enhances productivity and diversity. Plant Soil. 2020;450(1–2):385–96.10.1007/s11104-020-04503-6Search in Google Scholar

[24] Sebiomo A, Ogundero VW, Bankole SA. Effect of four herbicides on microbial population, soil organic matter and dehydrogenase activity. Afr J Biotechnol. 2011;10(5):770–8.Search in Google Scholar

[25] Lawlora K, Knighta BP, Barbosa-Jeffersona VL, Laneb PW, Lilleyc AK, Patond GI, et al. Comparison of methods to investigate microbial populations in soils under different agricultural management. FEMS Microbiol Ecol. 2000;33(2):129–37.10.1016/S0168-6496(00)00053-2Search in Google Scholar

[26] Chu X, Wang W, Ni X, Zheng H, Zhao X, Zhang R, et al. Growth identification of aspergillus flavus and Aspergillus Parasiticus by visible/near-infrared hyperspectral imaging. Appl Sci. 2018;8(4):513.10.3390/app8040513Search in Google Scholar

[27] Fankem H, Nwaga D, Deubel A, Dieng L, Merbach W, Etoa FX. Occurrence and functioning of phosphate solubilizing microorganisms from oil palm tree (Elaeis guineensis) rhizosphere in Cameroon. Afr J Biotechnol. 2006;5(24):2450–60.Search in Google Scholar

[28] Euanorasetr J, Nilvongse A, Tantimavanich S, Nihira T, Igarashi Y, Panbangred W. Identification and characterization of soil-isolated Streptomyces SJE177 producing actinomycin. Southeast Asian J Trop Med Public Health. 2010;41(5):1177–87.Search in Google Scholar

[29] Raji M, Thangavelu M. Isolation and screening of potassium solubilizing bacteria from saxicolous habitat and their impact on tomato growth in different soil types. Arch Microbiol. 2021;203(6):3147–61.10.1007/s00203-021-02284-9Search in Google Scholar PubMed

[30] Dobereiner J, Marriel IE, Nery M. Ecological distribution of Spirillum lipoferum Beijerinck. Can J Microbiol. 1976;22(10):1464–73.10.1139/m76-217Search in Google Scholar PubMed

[31] Ryan J, Sommer R, Ibrikci H. Fertilizer best management practices: A perspective from the dryland West Asia–North Africa region. J Agron Crop Sci. 2012;198(1):57–67.10.1111/j.1439-037X.2011.00488.xSearch in Google Scholar

[32] Sparks R, Bottoms A, Hay W. Prison probl order. Oxford University Press; 1996.Search in Google Scholar

[33] Trasar-Cepeda C, Leirós MC, Seoane S, Gil-Sotres F. Limitations of soil enzymes as indicators of soil pollution. Soil Biol Biochem. 2000;32(13):1867–75.10.1016/S0038-0717(00)00160-7Search in Google Scholar

[34] Dick WA, Cheng L, Wang P. Soil acid and alkaline phosphatase activity as pH adjustment indicators. Soil Biol Biochem. 2000;32(13):1915–9.10.1016/S0038-0717(00)00166-8Search in Google Scholar

[35] Moore J-D, Duchesne L, Ouimet R. Soil properties and maple–beech regeneration a decade after liming in a northern hardwood stand. For Ecol Manag. 2008;255(8–9):3460–8.10.1016/j.foreco.2008.02.026Search in Google Scholar

[36] Badri DV, Vivanco JM. Regulation and function of root exudates. Plant Cell Env. 2009;32(6):666–81.10.1111/j.1365-3040.2009.01926.xSearch in Google Scholar

[37] Uren NC. Types, amounts, and possible functions of compounds released into the rhizosphere by soil-grown plants. Rhizosphere: CRC Press; 2000. p. 35–56.10.1201/9780849384974-8Search in Google Scholar

[38] Diekow J, Mielniczuk J, Knicker H, Bayer C, Dick DP, Kögel-Knabner I. Soil C and N stocks as affected by cropping systems and nitrogen fertilisation in a southern Brazil Acrisol managed under no-tillage for 17 years. Soil Tillage Res. 2005;81(1):87–95.10.1016/j.still.2004.05.003Search in Google Scholar

[39] Chu H, Lin X, Fujii T, Morimoto S, Yagi K, Hu J, et al. Soil microbial biomass, dehydrogenase activity, bacterial community structure in response to long-term fertilizer management. Soil Biol Biochem. 2007;39(11):2971–6.10.1016/j.soilbio.2007.05.031Search in Google Scholar

[40] Damar H, Ziadi N, Lafond J, Parent LE. Potassium transformation in clay soil with contrasting K budgets in long‐term experiment. Agron J. 2020;112(6):5180–92.10.1002/agj2.20379Search in Google Scholar

[41] Kaur J. PGPR in management of soil toxicity. In: Kumar V, Prasad R, Kumar M, editors. Rhizobiont in bioremediation of hazardous waste. Singapore: Springer; 2021. p. 317–44.10.1007/978-981-16-0602-1_14Search in Google Scholar

[42] Kaur J, Gosal SK. Biotransformation of pollutants: A microbiological perspective. In: Kumar V, Prasad R, Kumar M, editors. Rhizobiont in Bioremediation of Hazardous Waste. Singapore: Springer; 2021. p. 151–62.10.1007/978-981-16-0602-1_8Search in Google Scholar

[43] Fang S, Liu J, Liu D, Xie B. Enzymatic activity and nutrient availability in the rhizosphere of poplar plantations treated with fresh grass mulch. Soil Sci Plant Nutr. 2010;56(3):483–91.10.1111/j.1747-0765.2010.00480.xSearch in Google Scholar

[44] Watts DB, Torbert HA, Feng Y, Prior SA. Soil microbial community dynamics as influenced by composted dairy manure, soil properties, and landscape position. Soil Sci. 2010;175(10):474–86.10.1097/SS.0b013e3181f7964fSearch in Google Scholar

[45] Utobo EB, Tewari L. Soil enzymes as bioindicators of soil ecosystem status. Appl Ecol Environ Res. 2015;13(1):147–69.10.15666/aeer/1301_147169Search in Google Scholar

[46] Geisseler D, Horwath WR, Scow KM. Soil moisture and plant residue addition interact in their effect on extracellular enzyme activity. Pedobiologia. 2011;54(2):71–8.10.1016/j.pedobi.2010.10.001Search in Google Scholar

[47] Pajares S, Campo J, Bohannan BJM, Etchevers JD. Environmental controls on soil microbial communities in a seasonally dry tropical forest. Appl Env Microbiol. 2018;84(17):e00342–18.10.1128/AEM.00342-18Search in Google Scholar PubMed PubMed Central

[48] Kaur J, Gosal SK, Khurana S. Soil enzymes: An agricultural perspective. New perspectives in agricultural sciences Lambert Academic Publishing, Moldova. 2020:59–82.Search in Google Scholar

[49] Kaur J, Gosal SK. Effect of long term incorporation of organic and inorganic fertilizers on phosphate solubilizing bacteria and alkaline phosphatase activity. Chem Sci Rev Lett. 2018;6(21):88–93.Search in Google Scholar

[50] Gosal SK, Kaur J. Microbial inoculants: A novel approach for better plant microbiome interactions. In: Kumar V, Kumar M, Sharma S, Prasad R, editors. Probiotics in agroecosystem. Singapore: Springer; 2017. p. 269–89.10.1007/978-981-10-4059-7_14Search in Google Scholar

[51] Gosal SK, Kaur J, Kaur J. Plant growth-promoting rhizobacteria: A probiotic for plant health and productivity. In: Kumar V, Kumar M, Sharma S, Prasad R, editors. Probiotics and plant health. Singapore: Springer; 2017. p. 589–600.10.1007/978-981-10-3473-2_27Search in Google Scholar

[52] Merino C, Godoy R, Matus F. Soil microorganisms and enzyme activity at different levels of organic matter stability. J Soil Sci Plant Nutr. 2016;16(1):14–30.10.4067/S0718-95162016005000002Search in Google Scholar

[53] Lopes H. Timor-Leste to graduate from LDC category and beyond: through structural transformation and economic diversification. MPFD Working Paper Series, No ESCAP/1-WP/8 Bangkok: ESCAP. 2021.Search in Google Scholar

[54] Shwerif N, Elghammudi A, Abosnena S, Alfaid A. Effect of different types of soil on the growth & productivity of tomato Solanum lycopersicum var. Rio Grande in Libya. Int J Plant & Soil Sci. 2020;32(16):26–32.10.9734/ijpss/2020/v32i1630377Search in Google Scholar

[55] Houlden A, Timms-Wilson TM, Day MJ, Bailey MJ. Influence of plant developmental stage on microbial community structure and activity in the rhizosphere of three field crops. FEMS Microbiol Ecol. 2008;65(2):193–201.10.1111/j.1574-6941.2008.00535.xSearch in Google Scholar PubMed

[56] Navarro-Noya YE, Chavez-Romero Y, Hereira-Pacheco S, de Leon Lorenzana AS, Govaerts B, Verhulst N, et al. Bacterial communities in the rhizosphere at different growth stages of maize cultivated in soil under conventional and conservation agricultural practices. Microbiol Spectr. 2022;10(2):e0183421.10.1128/spectrum.01834-21Search in Google Scholar PubMed PubMed Central

[57] Souza R, Ambrosini A, Passaglia LM. Plant growth-promoting bacteria as inoculants in agricultural soils. Genet Mol Biol. 2015;38(4):401–19.10.1590/S1415-475738420150053Search in Google Scholar PubMed PubMed Central

[58] Andersson S, Nilsson SI. Influence of pH and temperature on microbial activity, substrate availability of soil-solution bacteria and leaching of dissolved organic carbon in a mor humus. Soil Biol Biochem. 2001;33(9):1181–91.10.1016/S0038-0717(01)00022-0Search in Google Scholar

[59] Zheng Z, Li L, Makhalanyane TP, Xu C, Li K, Xue K, et al. The composition of antibiotic resistance genes is not affected by grazing but is determined by microorganisms in grassland soils. Sci Total Env. 2021;761:143205.10.1016/j.scitotenv.2020.143205Search in Google Scholar PubMed

[60] Dong CJ, Wang LL, Li Q, Shang QM. Bacterial communities in the rhizosphere, phyllosphere and endosphere of tomato plants. PLoS One. 2019;14(11):e0223847.10.1371/journal.pone.0223847Search in Google Scholar PubMed PubMed Central

[61] Azarbad H, van Gestel CA, Niklinska M, Laskowski R, Roling WF, van Straalen NM. Resilience of soil microbial communities to metals and additional stressors: DNA-based approaches for assessing “Stress-on-Stress” responses. Int J Mol Sci. 2016;17(6):933.10.3390/ijms17060933Search in Google Scholar PubMed PubMed Central

[62] Usero FM, Armas C, Morillo JA, Gallardo M, Thompson RB, Pugnaire FI. Effects of soil microbial communities associated to different soil fertilization practices on tomato growth in intensive greenhouse agriculture. Appl Soil Ecol. 2021;162:103896.10.1016/j.apsoil.2021.103896Search in Google Scholar

[63] Babalola OA. Assessment of the contribution of microbial activities to tomato growth and yield under an organic production system. Open Agric. 2019;4(1):661–75.10.1515/opag-2019-0063Search in Google Scholar

[64] Kulmatiski A, Beard KH. Long-term plant growth legacies overwhelm short-term plant growth effects on soil microbial community structure. Soil Biol Biochem. 2011;43(4):823–30.10.1016/j.soilbio.2010.12.018Search in Google Scholar

[65] Gouda S, Kerry RG, Das G, Paramithiotis S, Shin HS, Patra JK. Revitalization of plant growth promoting rhizobacteria for sustainable development in agriculture. Microbiol Res. 2018;206:131–40.10.1016/j.micres.2017.08.016Search in Google Scholar PubMed

[66] Ait Rahou Y, Boutaj H, Ait-El-Mokhtar M, Anli M, Boutasknit A, Tahiri AI, et al. Effect of beneficial indigenous microorganisms on tomato growth performance, productivity, and protection against Verticillium dahliae. J Plant Dis Prot. 2022;129(5):1163–80.10.1007/s41348-022-00616-5Search in Google Scholar

[67] Buyer JS, Teasdale JR, Roberts DP, Zasada IA, Maul JE. Factors affecting soil microbial community structure in tomato cropping systems. Soil Biol Biochem. 2010;42(5):831–41.10.1016/j.soilbio.2010.01.020Search in Google Scholar

[68] Gu Y, Dong K, Geisen S, Yang W, Yan Y, Gu D, et al. The effect of microbial inoculant origin on the rhizosphere bacterial community composition and plant growth-promotion. Plant Soil. 2020;452(1–2):105–17.10.1007/s11104-020-04545-wSearch in Google Scholar

[69] Marschner P, Timonen S. Interactions between plant species and mycorrhizal colonization on the bacterial community composition in the rhizosphere. Appl Soil Ecol. 2005;28(1):23–36.10.1016/j.apsoil.2004.06.007Search in Google Scholar

Received: 2023-09-19
Revised: 2023-12-29
Accepted: 2024-02-04
Published Online: 2024-03-26

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Regular Articles
  2. Porous silicon nanostructures: Synthesis, characterization, and their antifungal activity
  3. Biochar from de-oiled Chlorella vulgaris and its adsorption on antibiotics
  4. Phytochemicals profiling, in vitro and in vivo antidiabetic activity, and in silico studies on Ajuga iva (L.) Schreb.: A comprehensive approach
  5. Synthesis, characterization, in silico and in vitro studies of novel glycoconjugates as potential antibacterial, antifungal, and antileishmanial agents
  6. Sonochemical synthesis of gold nanoparticles mediated by potato starch: Its performance in the treatment of esophageal cancer
  7. Computational study of ADME-Tox prediction of selected phytochemicals from Punica granatum peels
  8. Phytochemical analysis, in vitro antioxidant and antifungal activities of extracts and essential oil derived from Artemisia herba-alba Asso
  9. Two triazole-based coordination polymers: Synthesis and crystal structure characterization
  10. Phytochemical and physicochemical studies of different apple varieties grown in Morocco
  11. Synthesis of multi-template molecularly imprinted polymers (MT-MIPs) for isolating ethyl para-methoxycinnamate and ethyl cinnamate from Kaempferia galanga L., extract with methacrylic acid as functional monomer
  12. Nutraceutical potential of Mesembryanthemum forsskaolii Hochst. ex Bioss.: Insights into its nutritional composition, phytochemical contents, and antioxidant activity
  13. Evaluation of influence of Butea monosperma floral extract on inflammatory biomarkers
  14. Cannabis sativa L. essential oil: Chemical composition, anti-oxidant, anti-microbial properties, and acute toxicity: In vitro, in vivo, and in silico study
  15. The effect of gamma radiation on 5-hydroxymethylfurfural conversion in water and dimethyl sulfoxide
  16. Hollow mushroom nanomaterials for potentiometric sensing of Pb2+ ions in water via the intercalation of iodide ions into the polypyrrole matrix
  17. Determination of essential oil and chemical composition of St. John’s Wort
  18. Computational design and in vitro assay of lantadene-based novel inhibitors of NS3 protease of dengue virus
  19. Anti-parasitic activity and computational studies on a novel labdane diterpene from the roots of Vachellia nilotica
  20. Microbial dynamics and dehydrogenase activity in tomato (Lycopersicon esculentum Mill.) rhizospheres: Impacts on growth and soil health across different soil types
  21. Correlation between in vitro anti-urease activity and in silico molecular modeling approach of novel imidazopyridine–oxadiazole hybrids derivatives
  22. Spatial mapping of indoor air quality in a light metro system using the geographic information system method
  23. Iron indices and hemogram in renal anemia and the improvement with Tribulus terrestris green-formulated silver nanoparticles applied on rat model
  24. Integrated track of nano-informatics coupling with the enrichment concept in developing a novel nanoparticle targeting ERK protein in Naegleria fowleri
  25. Cytotoxic and phytochemical screening of Solanum lycopersicum–Daucus carota hydro-ethanolic extract and in silico evaluation of its lycopene content as anticancer agent
  26. Protective activities of silver nanoparticles containing Panax japonicus on apoptotic, inflammatory, and oxidative alterations in isoproterenol-induced cardiotoxicity
  27. pH-based colorimetric detection of monofunctional aldehydes in liquid and gas phases
  28. Investigating the effect of resveratrol on apoptosis and regulation of gene expression of Caco-2 cells: Unravelling potential implications for colorectal cancer treatment
  29. Metformin inhibits knee osteoarthritis induced by type 2 diabetes mellitus in rats: S100A8/9 and S100A12 as players and therapeutic targets
  30. Effect of silver nanoparticles formulated by Silybum marianum on menopausal urinary incontinence in ovariectomized rats
  31. Synthesis of new analogs of N-substituted(benzoylamino)-1,2,3,6-tetrahydropyridines
  32. Response of yield and quality of Japonica rice to different gradients of moisture deficit at grain-filling stage in cold regions
  33. Preparation of an inclusion complex of nickel-based β-cyclodextrin: Characterization and accelerating the osteoarthritis articular cartilage repair
  34. Empagliflozin-loaded nanomicelles responsive to reactive oxygen species for renal ischemia/reperfusion injury protection
  35. Preparation and pharmacodynamic evaluation of sodium aescinate solid lipid nanoparticles
  36. Assessment of potentially toxic elements and health risks of agricultural soil in Southwest Riyadh, Saudi Arabia
  37. Theoretical investigation of hydrogen-rich fuel production through ammonia decomposition
  38. Biosynthesis and screening of cobalt nanoparticles using citrus species for antimicrobial activity
  39. Investigating the interplay of genetic variations, MCP-1 polymorphism, and docking with phytochemical inhibitors for combatting dengue virus pathogenicity through in silico analysis
  40. Ultrasound induced biosynthesis of silver nanoparticles embedded into chitosan polymers: Investigation of its anti-cutaneous squamous cell carcinoma effects
  41. Copper oxide nanoparticles-mediated Heliotropium bacciferum leaf extract: Antifungal activity and molecular docking assays against strawberry pathogens
  42. Sprouted wheat flour for improving physical, chemical, rheological, microbial load, and quality properties of fino bread
  43. Comparative toxicity assessment of fisetin-aided artificial intelligence-assisted drug design targeting epibulbar dermoid through phytochemicals
  44. Acute toxicity and anti-inflammatory activity of bis-thiourea derivatives
  45. Anti-diabetic activity-guided isolation of α-amylase and α-glucosidase inhibitory terpenes from Capsella bursa-pastoris Linn.
  46. GC–MS analysis of Lactobacillus plantarum YW11 metabolites and its computational analysis on familial pulmonary fibrosis hub genes
  47. Green formulation of copper nanoparticles by Pistacia khinjuk leaf aqueous extract: Introducing a novel chemotherapeutic drug for the treatment of prostate cancer
  48. Improved photocatalytic properties of WO3 nanoparticles for Malachite green dye degradation under visible light irradiation: An effect of La doping
  49. One-pot synthesis of a network of Mn2O3–MnO2–poly(m-methylaniline) composite nanorods on a polypyrrole film presents a promising and efficient optoelectronic and solar cell device
  50. Groundwater quality and health risk assessment of nitrate and fluoride in Al Qaseem area, Saudi Arabia
  51. A comparative study of the antifungal efficacy and phytochemical composition of date palm leaflet extracts
  52. Processing of alcohol pomelo beverage (Citrus grandis (L.) Osbeck) using saccharomyces yeast: Optimization, physicochemical quality, and sensory characteristics
  53. Specialized compounds of four Cameroonian spices: Isolation, characterization, and in silico evaluation as prospective SARS-CoV-2 inhibitors
  54. Identification of a novel drug target in Porphyromonas gingivalis by a computational genome analysis approach
  55. Physico-chemical properties and durability of a fly-ash-based geopolymer
  56. FMS-like tyrosine kinase 3 inhibitory potentials of some phytochemicals from anti-leukemic plants using computational chemical methodologies
  57. Wild Thymus zygis L. ssp. gracilis and Eucalyptus camaldulensis Dehnh.: Chemical composition, antioxidant and antibacterial activities of essential oils
  58. 3D-QSAR, molecular docking, ADMET, simulation dynamic, and retrosynthesis studies on new styrylquinolines derivatives against breast cancer
  59. Deciphering the influenza neuraminidase inhibitory potential of naturally occurring biflavonoids: An in silico approach
  60. Determination of heavy elements in agricultural regions, Saudi Arabia
  61. Synthesis and characterization of antioxidant-enriched Moringa oil-based edible oleogel
  62. Ameliorative effects of thistle and thyme honeys on cyclophosphamide-induced toxicity in mice
  63. Study of phytochemical compound and antipyretic activity of Chenopodium ambrosioides L. fractions
  64. Investigating the adsorption mechanism of zinc chloride-modified porous carbon for sulfadiazine removal from water
  65. Performance repair of building materials using alumina and silica composite nanomaterials with electrodynamic properties
  66. Effects of nanoparticles on the activity and resistance genes of anaerobic digestion enzymes in livestock and poultry manure containing the antibiotic tetracycline
  67. Effect of copper nanoparticles green-synthesized using Ocimum basilicum against Pseudomonas aeruginosa in mice lung infection model
  68. Cardioprotective effects of nanoparticles green formulated by Spinacia oleracea extract on isoproterenol-induced myocardial infarction in mice by the determination of PPAR-γ/NF-κB pathway
  69. Anti-OTC antibody-conjugated fluorescent magnetic/silica and fluorescent hybrid silica nanoparticles for oxytetracycline detection
  70. Curcumin conjugated zinc nanoparticles for the treatment of myocardial infarction
  71. Identification and in silico screening of natural phloroglucinols as potential PI3Kα inhibitors: A computational approach for drug discovery
  72. Exploring the phytochemical profile and antioxidant evaluation: Molecular docking and ADMET analysis of main compounds from three Solanum species in Saudi Arabia
  73. Unveiling the molecular composition and biological properties of essential oil derived from the leaves of wild Mentha aquatica L.: A comprehensive in vitro and in silico exploration
  74. Analysis of bioactive compounds present in Boerhavia elegans seeds by GC-MS
  75. Homology modeling and molecular docking study of corticotrophin-releasing hormone: An approach to treat stress-related diseases
  76. LncRNA MIR17HG alleviates heart failure via targeting MIR17HG/miR-153-3p/SIRT1 axis in in vitro model
  77. Development and validation of a stability indicating UPLC-DAD method coupled with MS-TQD for ramipril and thymoquinone in bioactive SNEDDS with in silico toxicity analysis of ramipril degradation products
  78. Biosynthesis of Ag/Cu nanocomposite mediated by Curcuma longa: Evaluation of its antibacterial properties against oral pathogens
  79. Development of AMBER-compliant transferable force field parameters for polytetrafluoroethylene
  80. Treatment of gestational diabetes by Acroptilon repens leaf aqueous extract green-formulated iron nanoparticles in rats
  81. Development and characterization of new ecological adsorbents based on cardoon wastes: Application to brilliant green adsorption
  82. A fast, sensitive, greener, and stability-indicating HPLC method for the standardization and quantitative determination of chlorhexidine acetate in commercial products
  83. Assessment of Se, As, Cd, Cr, Hg, and Pb content status in Ankang tea plantations of China
  84. Effect of transition metal chloride (ZnCl2) on low-temperature pyrolysis of high ash bituminous coal
  85. Evaluating polyphenol and ascorbic acid contents, tannin removal ability, and physical properties during hydrolysis and convective hot-air drying of cashew apple powder
  86. Development and characterization of functional low-fat frozen dairy dessert enhanced with dried lemongrass powder
  87. Scrutinizing the effect of additive and synergistic antibiotics against carbapenem-resistant Pseudomonas aeruginosa
  88. Preparation, characterization, and determination of the therapeutic effects of copper nanoparticles green-formulated by Pistacia atlantica in diabetes-induced cardiac dysfunction in rat
  89. Antioxidant and antidiabetic potentials of methoxy-substituted Schiff bases using in vitro, in vivo, and molecular simulation approaches
  90. Anti-melanoma cancer activity and chemical profile of the essential oil of Seseli yunnanense Franch
  91. Molecular docking analysis of subtilisin-like alkaline serine protease (SLASP) and laccase with natural biopolymers
  92. Overcoming methicillin resistance by methicillin-resistant Staphylococcus aureus: Computational evaluation of napthyridine and oxadiazoles compounds for potential dual inhibition of PBP-2a and FemA proteins
  93. Exploring novel antitubercular agents: Innovative design of 2,3-diaryl-quinoxalines targeting DprE1 for effective tuberculosis treatment
  94. Drimia maritima flowers as a source of biologically potent components: Optimization of bioactive compound extractions, isolation, UPLC–ESI–MS/MS, and pharmacological properties
  95. Estimating molecular properties, drug-likeness, cardiotoxic risk, liability profile, and molecular docking study to characterize binding process of key phyto-compounds against serotonin 5-HT2A receptor
  96. Fabrication of β-cyclodextrin-based microgels for enhancing solubility of Terbinafine: An in-vitro and in-vivo toxicological evaluation
  97. Phyto-mediated synthesis of ZnO nanoparticles and their sunlight-driven photocatalytic degradation of cationic and anionic dyes
  98. Monosodium glutamate induces hypothalamic–pituitary–adrenal axis hyperactivation, glucocorticoid receptors down-regulation, and systemic inflammatory response in young male rats: Impact on miR-155 and miR-218
  99. Quality control analyses of selected honey samples from Serbia based on their mineral and flavonoid profiles, and the invertase activity
  100. Eco-friendly synthesis of silver nanoparticles using Phyllanthus niruri leaf extract: Assessment of antimicrobial activity, effectiveness on tropical neglected mosquito vector control, and biocompatibility using a fibroblast cell line model
  101. Green synthesis of silver nanoparticles containing Cichorium intybus to treat the sepsis-induced DNA damage in the liver of Wistar albino rats
  102. Quality changes of durian pulp (Durio ziberhinus Murr.) in cold storage
  103. Study on recrystallization process of nitroguanidine by directly adding cold water to control temperature
  104. Determination of heavy metals and health risk assessment in drinking water in Bukayriyah City, Saudi Arabia
  105. Larvicidal properties of essential oils of three Artemisia species against the chemically insecticide-resistant Nile fever vector Culex pipiens (L.) (Diptera: Culicidae): In vitro and in silico studies
  106. Design, synthesis, characterization, and theoretical calculations, along with in silico and in vitro antimicrobial proprieties of new isoxazole-amide conjugates
  107. The impact of drying and extraction methods on total lipid, fatty acid profile, and cytotoxicity of Tenebrio molitor larvae
  108. A zinc oxide–tin oxide–nerolidol hybrid nanomaterial: Efficacy against esophageal squamous cell carcinoma
  109. Research on technological process for production of muskmelon juice (Cucumis melo L.)
  110. Physicochemical components, antioxidant activity, and predictive models for quality of soursop tea (Annona muricata L.) during heat pump drying
  111. Characterization and application of Fe1−xCoxFe2O4 nanoparticles in Direct Red 79 adsorption
  112. Torilis arvensis ethanolic extract: Phytochemical analysis, antifungal efficacy, and cytotoxicity properties
  113. Magnetite–poly-1H pyrrole dendritic nanocomposite seeded on poly-1H pyrrole: A promising photocathode for green hydrogen generation from sanitation water without using external sacrificing agent
  114. HPLC and GC–MS analyses of phytochemical compounds in Haloxylon salicornicum extract: Antibacterial and antifungal activity assessment of phytopathogens
  115. Efficient and stable to coking catalysts of ethanol steam reforming comprised of Ni + Ru loaded on MgAl2O4 + LnFe0.7Ni0.3O3 (Ln = La, Pr) nanocomposites prepared via cost-effective procedure with Pluronic P123 copolymer
  116. Nitrogen and boron co-doped carbon dots probe for selectively detecting Hg2+ in water samples and the detection mechanism
  117. Heavy metals in road dust from typical old industrial areas of Wuhan: Seasonal distribution and bioaccessibility-based health risk assessment
  118. Phytochemical profiling and bioactivity evaluation of CBD- and THC-enriched Cannabis sativa extracts: In vitro and in silico investigation of antioxidant and anti-inflammatory effects
  119. Investigating dye adsorption: The role of surface-modified montmorillonite nanoclay in kinetics, isotherms, and thermodynamics
  120. Antimicrobial activity, induction of ROS generation in HepG2 liver cancer cells, and chemical composition of Pterospermum heterophyllum
  121. Study on the performance of nanoparticle-modified PVDF membrane in delaying membrane aging
  122. Impact of cholesterol in encapsulated vitamin E acetate within cocoliposomes
  123. Review Articles
  124. Structural aspects of Pt(η3-X1N1X2)(PL) (X1,2 = O, C, or Se) and Pt(η3-N1N2X1)(PL) (X1 = C, S, or Se) derivatives
  125. Biosurfactants in biocorrosion and corrosion mitigation of metals: An overview
  126. Stimulus-responsive MOF–hydrogel composites: Classification, preparation, characterization, and their advancement in medical treatments
  127. Electrochemical dissolution of titanium under alternating current polarization to obtain its dioxide
  128. Special Issue on Recent Trends in Green Chemistry
  129. Phytochemical screening and antioxidant activity of Vitex agnus-castus L.
  130. Phytochemical study, antioxidant activity, and dermoprotective activity of Chenopodium ambrosioides (L.)
  131. Exploitation of mangliculous marine fungi, Amarenographium solium, for the green synthesis of silver nanoparticles and their activity against multiple drug-resistant bacteria
  132. Study of the phytotoxicity of margines on Pistia stratiotes L.
  133. Special Issue on Advanced Nanomaterials for Energy, Environmental and Biological Applications - Part III
  134. Impact of biogenic zinc oxide nanoparticles on growth, development, and antioxidant system of high protein content crop (Lablab purpureus L.) sweet
  135. Green synthesis, characterization, and application of iron and molybdenum nanoparticles and their composites for enhancing the growth of Solanum lycopersicum
  136. Green synthesis of silver nanoparticles from Olea europaea L. extracted polysaccharides, characterization, and its assessment as an antimicrobial agent against multiple pathogenic microbes
  137. Photocatalytic treatment of organic dyes using metal oxides and nanocomposites: A quantitative study
  138. Antifungal, antioxidant, and photocatalytic activities of greenly synthesized iron oxide nanoparticles
  139. Special Issue on Phytochemical and Pharmacological Scrutinization of Medicinal Plants
  140. Hepatoprotective effects of safranal on acetaminophen-induced hepatotoxicity in rats
  141. Chemical composition and biological properties of Thymus capitatus plants from Algerian high plains: A comparative and analytical study
  142. Chemical composition and bioactivities of the methanol root extracts of Saussurea costus
  143. In vivo protective effects of vitamin C against cyto-genotoxicity induced by Dysphania ambrosioides aqueous extract
  144. Insights about the deleterious impact of a carbamate pesticide on some metabolic immune and antioxidant functions and a focus on the protective ability of a Saharan shrub and its anti-edematous property
  145. A comprehensive review uncovering the anticancerous potential of genkwanin (plant-derived compound) in several human carcinomas
  146. A study to investigate the anticancer potential of carvacrol via targeting Notch signaling in breast cancer
  147. Assessment of anti-diabetic properties of Ziziphus oenopolia (L.) wild edible fruit extract: In vitro and in silico investigations through molecular docking analysis
  148. Optimization of polyphenol extraction, phenolic profile by LC-ESI-MS/MS, antioxidant, anti-enzymatic, and cytotoxic activities of Physalis acutifolia
  149. Phytochemical screening, antioxidant properties, and photo-protective activities of Salvia balansae de Noé ex Coss
  150. Antihyperglycemic, antiglycation, anti-hypercholesteremic, and toxicity evaluation with gas chromatography mass spectrometry profiling for Aloe armatissima leaves
  151. Phyto-fabrication and characterization of gold nanoparticles by using Timur (Zanthoxylum armatum DC) and their effect on wound healing
  152. Does Erodium trifolium (Cav.) Guitt exhibit medicinal properties? Response elements from phytochemical profiling, enzyme-inhibiting, and antioxidant and antimicrobial activities
  153. Integrative in silico evaluation of the antiviral potential of terpenoids and its metal complexes derived from Homalomena aromatica based on main protease of SARS-CoV-2
  154. 6-Methoxyflavone improves anxiety, depression, and memory by increasing monoamines in mice brain: HPLC analysis and in silico studies
  155. Simultaneous extraction and quantification of hydrophilic and lipophilic antioxidants in Solanum lycopersicum L. varieties marketed in Saudi Arabia
  156. Biological evaluation of CH3OH and C2H5OH of Berberis vulgaris for in vivo antileishmanial potential against Leishmania tropica in murine models
Downloaded on 4.11.2025 from https://www.degruyterbrill.com/document/doi/10.1515/chem-2023-0209/html
Scroll to top button