Home Phosphate-solubilizing bacteria from safflower rhizosphere and their effect on seedling growth
Article Open Access

Phosphate-solubilizing bacteria from safflower rhizosphere and their effect on seedling growth

  • Tingting Zhang , Feng Hu EMAIL logo and Lei Ma EMAIL logo
Published/Copyright: July 10, 2019

Abstract

Phosphate-solubilizing bacteria (PSB) can convert insoluble rhizosphere phosphorus into forms that are absorbable by plants and thus enhance the growth of plants. Safflower is a cash crop that is a source of vegetable oils, food coloring and flavoring agents. This study sought to isolate PSB in safflower rhizosphere soil and investigate their effects on seedling growth. The isolated PSB were identified as belonging to the genera Pseudomonas, Sinorhizobium, Staphylococcus, Acinetobacter and Enterobacter using 16S rRNA gene sequence analysis. Acinetobacter sp RC04. showed the best performance in phosphate solubilization, with the efficiency of the process being influenced by carbon source, nitrogen source, cultivation temperature and initial culture pH. Acinetobacter sp. RC04 and Sinorhizobium sp. RC02 showed the ability to improve safflower seed germination and, when co-inoculated, improved seedling growth. Hence, we suggest that Acinetobacter sp. RC04 and Sinorhizobium sp. RC02 could be developed for field application to promote safflower growth. The results from this study will help drive novel biofertilizer discovery and could be included in integrated nutrient management regimes for safflower and other important economic crops.

1 Introduction

Phosphorus (P) is an essential nutrient for crop growth and development [1, 2, 3]. In the soils of some agroecosystems, such as some arid and semi-arid regions, the total soil P concentration is adequate, but the content of soluble or plant-absorbable P (HPO42− or H2PO4) is deficient [4,5]. In these soils, P tends to be limited because of immobilization and precipitation. For example, P is fixed by free oxides and hydroxides of aluminium and iron in acid soils and by calcium in alkaline soils, resulting in the low efficiency of soluble P fertilizers [6]. Solubilization of mineral phosphorus is beneficial to enhance plant growth.

Phosphate-solubilizing bacteria (PSB), associated with the plant rhizosphere, make mineral phosphorus more readily available for plant uptake by transforming insoluble P into forms that are available for the crop [7]. The effect of PSB is considered a mechanism for enhancing plant growth. Until now, previously known PSB belong to numerous genera including Pseudomonas, Bacillus, Rhizobium, Burkholderia, Achromobacter, Agrobacterium, Microccocus, Aereobacter, Flavobacterium and Erwinia [4]. Inoculation with these phosphate dissolvers as biofertilizers has been reported to increase P uptake and promote plant growth [8, 9, 10]. For example, treatment with PSB has increased the yield of wheat and promoted the growth of rice [11,12]. However, the ability of PSB to solubilize phosphate varies by bacterial species. The long-term stability and capability of phosphate dissolvers are key problems for their widespread application in promoting crop yields [13,14].

Safflower (Carthamus tinctorious L.) is a cash crop; its seeds are used for extraction of vegetable oil, and its petals are dried and used as food coloring and flavoring [15]. Safflower is suitable for cultivation in arid and semiarid regions in the Far East, central and northern Asia and the European Caucasus regions because of its drought tolerance and salt resistance [16]. As an important industrial and multipurpose crop, the global production of safflower exceeds 600 million tons per year [15]. However, PSB strains in the safflower rhizosphere still await investigation.

The present study aimed to isolate plant-growth-promoting PSB from safflower rhizosphere soil. Among those isolates, Acinetobacter sp RC04. showed the best performance in phosphate solubilization. To better understand its role in the rhizosphere, this study then surveyed the potential of the Acinetobacter sp RC04. It showed the ability to improve safflower seed germination and, when co-inoculated with Sinorhizobium sp. RC02, improve seedling growth. The results from this study could help drive novel biofertilizer discovery for safflower and other crops.

2 Materials and methods

2.1 Soil sample collection

This study was carried out at the agricultural experiment station of Shihezi University in Shihezi City, Xinjiang Province, China (44.27° N, 85.94° E), using the safflower cultivar Xinhong 4 as the model. The soil of the sampling sites is heavy loam with pH 8.0. According to the records of the station, the soil layer is approximately 15–21 cm thick and contains approximately 3.2 t ha−1 total P with 54 kg ha−1 available P, 1.6 t ha−1 total nitrogen with 88 kg ha−1 available nitrogen, 52 t ha−1 total potassium with 366 kg ha−1 available potassium and 30 t ha−1 soil organic matter. Samples were collected from soil sites not exposed to agrochemicals for several years. Sampling spots were selected by following an S pattern in the field. Rhizosphere samples (including roots and soil adhering to the roots) were collected at depths of 0–15 cm. Three biological replicates of plants were obtained at each spot. The samples were placed individually in sterile plastic bags and stored immediately in a cooler until arrival at the laboratory. All samples were stored at 4 °C until analysis and isolation.

2.2 PSB isolation

Excess soil was shaken from roots, leaving approximately 1 mm of soil still attached to the roots. About 1 g of the soil tightly adhering to the roots was separated from the roots by shaking in a sterile flask containing 50 ml of sterile phosphate-buffered saline (PBS) solution. The suspension was centrifuged twice for 1 min at 12,000 × g, serially diluted in PBS solution (10−2, 10−4, and 10−6) and plated on the P solubilization medium described below.

The P solubilization medium was modified from the National Botanical Research Institute’s phosphate-growth medium [17]. Tricalcium phosphate (TCP) was the sole P source. The medium contained (per liter) 10 g of glucose, 5 g of Ca3(PO4)2, 5 g of MgCl2·6H2O, 0.25 g of MgSO4·7H2O, 0.2 g of KCl, 0.5 g of (NH4)2SO4, 0.3 g of NaCl, 0.03 g of FeSO4·7H2O and 0.4 g of yeast extract in distilled water. Agar (20 g) was added to the medium for plate assays. The medium pH was adjusted to 7.0–7.5.

After 6 days of incubation on the P solubilization medium plates at 30 °C, colonies surrounded by a clear halo were considered phosphate dissolvers. Colonies were purified by restreaking on a plate. The capacity to dissolve phosphate on solid medium was measured, after 6 days of incubation at 30°C, as the ratio between the diameter of the phosphate solubilization halo around the colony and the diameter of the colony itself. The experiment was performed on a total of 9 plates, accounting for a total of 50 colonies.

2.3 Quantitative estimation of P solubilization in liquid culture

The potential PSB were grown in 100 mL of P solubilization medium and incubated with shaking at 300 rpm at 30 °C for 24 h. The approximate number of colony-forming units per milliliter (CFU mL−1) was determined by optical density measurement and serial dilutions with plate counts. One milliliter of culture (106 CFU mL−1) was transferred to a 500-mL Erlenmeyer flask containing 100 mL of P solubilization medium and incubated on a gyratory shaker (200 rpm) at 30 °C. The soluble P and optical density at 600 nm were measured every 12 h for 120 h using the phosphomolybdate blue colorimetric method [17]. Experiments were conducted five times per isolate. After the predefined incubation period, the cultures were harvested by centrifugation at 3000 × g for 15 min and the supernatant was filtered with 0.45-μm syringe filters for analysis of P concentration in the medium. Sterile, non-inoculated medium served as the control.

2.4 P solubilization assays

First, one-factor-at-a-time experiments were used to estimate whether a factor in PSB liquid cultivation had any effect on P solubilization and to seek to optimize the response. Carbon source, nitrogen source, initial pH, initial inoculum and cultivation temperature were separately tested. Each experimental factor was tested to determine optimum, keeping all other experimental factors constant as described above. After determination of the optimum of a given factor, the factor was subsequently held at the optimum throughout the remaining trials.

The carbon sources (20 g L−1) in liquid culture tested were fructose, glucose, sorbitol, sucrose and soluble starch. The nitrogen sources tested were (1.5 g L−1) (NH4)2SO4, NH4Cl, NH4NO3, urea and beef extract. Initial pH was 4, 5, 6, 7 or 8. For the inoculum assay, the initial bacterial cell suspension concentration was 3×104, 4×104, 5×104, 6×104 or 7×104 CFU mL−1. The cultivation temperature was 20, 25, 30, 35 or 40 °C. Each treatment had five replicates. After 6 days of cultivation, the bacterial cell suspension concentration was adjusted to 108 CFU mL−1 to estimate P solubilization.

To test possible factorial interactions influencing P solubilization, a full factorial experiment was performed. With five factors each taking two levels, the experiment had 32 treatment combinations (each having three replicates). It tested the effects of the five independent variables (NH4Cl concentration, glucose concentration, cultivation temperature, initial pH and inoculum amount) on the dependent variable (P solubilization) and possible interactions. The levels of the variables were designed according to the preceding one-factor-at-a-time experiments: [NH4Cl] had levels 1 g L−1 and 3 g L−1, [glucose] had levels 10 g L−1 and 30 g L−1, the temperature was 25 °C or 35 °C, the initial pH was 5.5 or 6.5 and the initial bacterial cell suspension concentration was 4×104 or 6×104 CFU mL−1. All other assay conditions were as described above.

2.5 PSB isolates identification

Bacterial genomic DNA was extracted by the phenol/chloroform method [18]. The 16S ribosomal DNA (rRNA) was amplified from extracted DNA by polymerase chain reaction with primers 5′-AGAGTTTGATCCTGGCTCAG-3′ and 5′-ACGGTTACCTTGTTACGACTT-3′ [19]. Amplification was performed by initial denaturation at 95 °C for 3 min, followed by 35 cycles of 95 °C for 30 s, 51 °C for 30 s and 72 °C for 1 min, with a final extension at 72 °C for 10 min. The 50-μL PCR mixtures contained 0.2 μM of each primer, 0.2 mM dNTPs, EasyTaq® buffer, 2.5 U EasyTaq® DNA polymerase (TRANSGEN, China) and 10 ng of template DNA. The PCR products were sequenced by Beijing Sun Biotech Co., Ltd. (Beijing, China). The sequences were then aligned to reference 16S rRNA sequences in the NCBI database using the BLAST program with default parameters [20]. The sequenced 16S rRNAs and reference 16S rRNAs were subjected to phylogenetic analysis using MEGA7 software [21]. The sequences were aligned by ClustalW to reconstruct a phylogenetic tree using the Kimura 2-parameter distance model and neighbor-joining method (1000 bootstrap replicates).

2.6 Germination assays

One milliliter of 24-h-old bacterial cultures was inoculated into 100 mL of Luria–Bertani (LB) medium (10 g L−1 tryptone, 5 g L−1 yeast extract and 10 g L−1 NaCl at pH 7.0), shaken for 72 h at 120 rpm at 30°C, and centrifuged for 10 min at 9,400 × g. The supernatant was discarded, and the pellet was resuspended in distilled water. Safflower seeds were surface sterilized with 5% sodium hypochlorite (commercial laundry bleach) for 15 min, and rinsed five times with sterile water.

The seed germination assay was based on a completely randomized design with three PSB inoculation treatments: (1) control without bacterial inoculation; (2) inoculation of one PSB strain (103 CFU mL−1); and (3) co-inoculation of two PSB strains (each with 103 CFU mL−1). Sterilized safflower seeds were placed on a filter paper in a plate (9 cm diameter). A five milliliter suspension of one treatment was added to one plate. Each treatment included at least three biological replicates. The seeds were germinated for 3 days at 28 °C in the dark.

2.7 Effects of PSB on plant growth

Sterilized seeds were sown in plastic pots (1 L) filled with autoclaved (121°C for 60 min) loamy soil and sand in 1:1 ratio (v/v) at 25 °C in a plant growth chamber (16-h light and 8-h dark, 40 ± 10 % relative humidity). Plants were watered with an equal volume of autoclaved sterilized water to keep the soil moist when needed. A pot with one seedling was considered an experimental unit, and three replicates per treatment were set up in a completely randomized design.

The PSB inoculation treatment for the greenhouse pot assay was designed with three treatments: (1) control without bacterial inoculation; (2) inoculation of one PSB strain (106 CFU mL−1); and (3) co-inoculation of two PSB strains (each with 106 CFU mL−1). Each treatment had three pots. A five milliliter suspension was inoculated on the top of the seed and the soil nearby at the time of planting. After 5 days, another 5 mL of suspension was added to the soil around the seeding area. Distilled water was used as a control. No other nutrients or bacterial inocula were supplied. Seedlings were harvested 4 weeks after sowing.

2.8 Data analysis

Differences were tested using ANOVA and groups were tested using Tukey’s HSD multiple comparisons procedure. Effects of factors in the P solubilization assay were evaluated using a GLM procedure (Gaussian error distribution).

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

3 Results and discussion

3.1 Characterization of PSB

On screening isolates from the safflower rhizosphere, six PSB strains were identified by their production of a halo around colonies on plates containing P solubilization medium. The 16S rRNA gene sequences of these strains were determined and deposited in the NCBI nucleotide sequence database (Table 1). They were clustered into the genera Pseudomonas, Sinorhizobium, Staphylococcus, Acinetobacter and Enterobacter by phylogenetic analysis (Figure 1). Their biochemical and physiological characteristics are shown in Table 1.

Figure 1 Evolutionary relationships of the phosphate-solubilizing bacteria (PSB) isolated in the present study and related strains in the NCBI database based on 16S rRNA gene sequences. The percentages of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. The tree is drawn to scale with branch lengths similar to those of the evolutionary distances used to infer the phylogenetic tree. Bacterial strains in boldface indicate PSB included in the present study. Accession numbers are provided in parentheses.
Figure 1

Evolutionary relationships of the phosphate-solubilizing bacteria (PSB) isolated in the present study and related strains in the NCBI database based on 16S rRNA gene sequences. The percentages of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. The tree is drawn to scale with branch lengths similar to those of the evolutionary distances used to infer the phylogenetic tree. Bacterial strains in boldface indicate PSB included in the present study. Accession numbers are provided in parentheses.

Table 1

Characteristics of PSB.

StrainNCBI AccessionD/dP (mg L−1)OxygenOxidaseCatalaseStarchMethyl-RedIndole Reduction
Pseudomonas sp.KX3873573.17±0.13bc131.6±1.79c++++++
RC01
Sinorhizobium sp.KX3873542.32±0.18d90.9±1.56e++++
RC02
Staphylococcus sp.KX3873552.58±0.16cd112.5±1.91d+++
RC03
Acinetobacter sp.KX3873594.08±0.13a168.5±1.27a++++
RC04
Pseudomonas sp.KX3873583.33±0.12b157.2±1.21b+++++
RC05
Enterobacter sp.KX3873562.35±0.19d92.4±0.75e++
RC06
  1. Six PSB strains were identified and their 16S rRNA gene sequences were deposited in the NCBI nucleotide sequence database. D, diameter of phosphate solubilization circle around the colony; d, diameter of the colony. P, phosphate solubilization. Values are the mean and standard error (n = 5). Means marked with different letters were significantly different (TukeyHSD, P < 0.05). The results of oxygen utilization, oxidase test, catalase test, starch utilization, methyl red test and indole reduction were given. +, tested positive or used as substrate; −, tested negative or not used as substrate.

The halo ratios of the six strains ranged between 2.32 and 4.08 after 6 days of incubation. The concentrations of soluble P they produced ranged between 90.9 and 168.5 mg L−1 in P solubilization medium. The strain Acinetobacter sp. RC04 showed the highest P solubilization among the strains (ANOVA, F(5, 24) = 504.4, P < 10−15; TukeyHSD, P < 0.05).

3.2 Growth profile of, and phosphate solubilization by, Acinetobacter sp. RC04

The growth profile of Acinetobacter sp. RC04 (judged by OD600) consisted of lag (0–12 h), exponential (12–36 h) and plateau (after 36 h) phases (Supplementary figure). The biomass (OD600) reached its maximum (1.25–1.29) at 48 h. The capacity to dissolve TCP also reached its maximum (182.77–184.31 mg L−1) at 48 h. The growth profile showed a similar trend to the phosphate solubility (Spearman’s rank correlation rho = 0.95, P < 10−16).

3.3 Effect of cultivation conditions on P solubilization by Acinetobacter sp. RC04

The cultivation conditions had a significant effect on the ability of Acinetobacter sp. RC04 to solubilize phosphate (Figure 2). The available P reached the maximum values with glucose as the carbon source, NH4Cl as the nitrogen source, initial pH = 6.0, initial inoculum of 4×104 CFU mL−1, and cultivation at 30 °C (Figure 2). Table 2 shows the effect of cultivation conditions ([NH4Cl], [glucose], cultivation temperature, initial pH and inoculum amount) on P solubilization and possible interactions between these factors. Interactions were observed between [glucose] and temperature, between [glucose] and [NH4Cl], and between pH and temperature (P < 0.001, GLM).

Figure 2 P solubilization assays of Acinetobacter sp. RC04. Bars represent means, and error bars show standard errors (n = 5). The means within one group marked with different lowercase letters were significantly different at P < 0.05 (TukeyHSD).
Figure 2

P solubilization assays of Acinetobacter sp. RC04. Bars represent means, and error bars show standard errors (n = 5). The means within one group marked with different lowercase letters were significantly different at P < 0.05 (TukeyHSD).

Table 2

Generalized linear model.

TermsGeneralized linear model
Coefficientst valuePr (>|t|)Sign
(Intercept)1499.947.085×10−10***
NH4Cl (g L−1)−77.00−2.699×10−03**
Glucose (g L−1)11.403.991×10−04***
pH−183.22−5.554×10−07***
Temp. (°C)−28.59−5.436×10−07***
Inoculum (× 104 CFU mL−1)−102.24−3.773×10−04***
NH4Cl : Glucose−0.80−4.071×10-04***
NH4Cl : pH2.270.580.57
NH4Cl : Temp.1.002.530.01*
NH4Cl : Inoculum4.092.070.04*
Glucose : pH−0.71−1.790.08
Glucose : Temp.−0.15−3.922×10−04***
Glucose : Inoculum0.241.210.23
pH : Temp.3.764.778×10−06***
pH : Inoculum8.092.050.04*
Temp. : Inoculum0.711.810.07
Residuals
  1. Generalized linear model was used to test the effects of the five independent variables (NH4Cl concentration, glucose concentration, initial pH, cultivation temperature and initial inoculum amount) on the response variable (P solubilization) and possible interactions.

    Sign, ‘***’ Pr < 0.001; ‘**’< 0.01; ‘*’< 0.05.

Compared with other carbon sources, glucose significantly promoted the P solubilizing capacity of Acinetobacter sp. RC04 (ANOVA, F(4, 20) = 468.1, P < 10−15, Figure 2). In addition, the amount of glucose played a role in P solubilization according to the GLM (Table 2). These results were consistent with the report that glucose could induce catabolite repression and affect the activity of acid and alkaline phosphatases in PSB [22]. Among the different nitrogen sources tested, NH4Cl was the best for Acinetobacter sp. RC04 to solubilize P (ANOVA, F(4, 20) = 243.8, P < 10−15). This result supports a previous suggestion that NH4Cl could be used as a nitrogen source to promote growth of PSB [17]. Moreover, a significantly negative interaction existed between NH4Cl and glucose concentrations (Table 2). The optimum P solubilization was obtained with the highest glucose concentration and the lowest NH4Cl concentration, consistent with previous reports that carbon and nitrogen concentrations modulate P solubilization efficiency [23, 24, 25].

Temperature influenced the efficiency of P solubilization by Acinetobacter sp. RC04 (ANOVA, F(4, 20) = 893.7, P < 10−15). Temperature plays a crucial role in influencing the activity of phytases [26]; the enzyme phytase releases P from phytate. Figure 2 shows that the P concentration increased with increasing temperature up to 30 °C, then decreased at higher temperatures. The trend is similar to that for Aspergillus oryzae and A. niger [26], although the optimal temperatures were different. The temperature of the highest activity of phytase varies widely for different microorganisms [27, 28, 29, 30, 31, 32]. In addition, pH also influenced the P solubilization (ANOVA, F(4, 20) = 169.4, P < 10−14). The P solubility was highest at pH 5–7 and lower at pH 4 and 8.

3.4 PSB effect on seedling growth

Inoculation of Acinetobacter sp. RC04 or Sinorhizobium sp. RC02 significantly promoted safflower seed germination (ANOVA, F(3, 8) = 97.43, P < 10−5, Figure 3). In addition, co-inoculation of the two isolates resulted in a significant increase in seedling length compared with single-strain treatment (TukeyHSD, P < 10−4). Pot trials showed that the co-inoculation had a positive effect on shoot length (ANOVA, F(3, 8) = 11.53, P = 0.003) and the number of secondary roots (ANOVA, F(3, 8) = 8.15, P = 0.008) compared with the control (Figure 4).

Figure 3 Promotion of safflower seed germination by PSB. Bars represent the mean, and error bars show the standard error (n = 3). Means marked with different lowercase letters were significantly different (TukeyHSD, P < 0.01).
Figure 3

Promotion of safflower seed germination by PSB. Bars represent the mean, and error bars show the standard error (n = 3). Means marked with different lowercase letters were significantly different (TukeyHSD, P < 0.01).

Figure 4 Growth promotion of safflower seedlings by PSB. Bars represent the mean, and error bars show the standard error (n = 3). Means within each group marked with different lowercase letters were significantly different (TukeyHSD, P < 0.01).
Figure 4

Growth promotion of safflower seedlings by PSB. Bars represent the mean, and error bars show the standard error (n = 3). Means within each group marked with different lowercase letters were significantly different (TukeyHSD, P < 0.01).

Acinetobacter sp. RC04 and Sinorhizobium sp. RC02 showed the ability to promote safflower seed germination and, when co-inoculated, improve seedling growth. These results indicate they might be incorporated into biofertilizers to increase safflower growth [33]. The improvement of plant growth and properties by PSB may be due to several possible mechanisms. PSB alter the plasticity of seeds and roots by changing the soil composition. For example, plant growth-promoting rhizobacteria may improve the solubility of mineral nutrients by releasing organic acids and thereby increasing the vegetative biomass and N and P accumulation in plant tissues, simulating plant growth [34]. This phenomenon, in turn, affects colonization and development of the bacteria [35]. Plant growth-promoting rhizobacteria can induce production of phytoalexin, antibiotics against pathogenic organisms, as well as siderophores, and they colonize root surfaces, thereby out-competing pathogens [34]. Inoculation with plant growth-promoting rhizobacteria can stimulate or inhibit functional community formation and growth in a given symbiotic relationship, depending upon the nature and concentration of secondary metabolites released by the partners in that plant–microbial relationship [34]. Thus, the interactive effect among rhizosphere microorganisms can influence P cycling and promote a sustainable nutrient supply to plants [34]. For instance, inoculation of mixed PSB or co-inoculation with other microorganisms can result in balanced nutrition for plants, such as providing P and N [36]. The present study confirmed the advantage of mixed PSB inoculation. The interactions among PSB, plants and other rhizobacteria create synergistic effects that improve the uptake of individual nutrients [37].

4 Conclusions

The present study screened phosphate dissolving bacteria from the rhizosphere soil of safflower. Among these strains, Acinetobacter sp. RC04 showed high performance in phosphate solubilization, and the efficiency of the process was influenced by cultivation conditions. Acinetobacter sp. RC04 and Sinorhizobium sp. RC02 showed the ability to improve safflower seed germination and, when co-inoculated, improve seedling growth. These results indicate the positive role of Acinetobacter sp. RC04 and Sinorhizobium sp. RC02 in enhancing the biomass of safflower seedlings. Their co-inoculation with plants will be highly beneficial in improving the growth of safflower. Further molecular and biochemical studies of these bacteria will provide efficient ways for incorporating these strains into biofertilizers to promote improved yield of agronomic crops and sustainable agriculture.

Acknowledgements

We thank Dave Baab for copyediting the manuscript and James Allen, DPhil, from Liwen Bianji, Edanz Group China, for English editing. We thank the reviewers for their helpful suggestions. The research was supported by the National Natural Science Foundation of China (31560310, 31760302, 31860308 and 31272416). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

  1. Conflict of interest: Authors state no conflict of interest

  2. Supplemental Material: The online version of this article (DOI: 10.1515/biol-2019-0028) offers supplementary material.

References

[1] Chen YP, Rekha PD, Arun AB, Shen FT, Lai WA, Young CC. Phosphate solubilizing bacteria from subtropical soil and their tricalcium phosphate solubilizing abilities. Appl Soil Ecol. 2006;34:33–41.10.1016/j.apsoil.2005.12.002Search in Google Scholar

[2] Díaz I, Torrent J. Changes in olsen P in relation to P balance in contrasting agricultural soils. Pedosphere. 2016;26:636–42.10.1016/S1002-0160(15)60072-8Search in Google Scholar

[3] Wei Y, Zhao Y, Fan Y, Lu Q, Li M, Wei Q, et al. Impact of phosphate-solubilizing bacteria inoculation methods on phosphorus transformation and long-term utilization in composting. Bioresour Technol. 2017;241:134–41.10.1016/j.biortech.2017.05.099Search in Google Scholar

[4] Rodrı́guez H, Fraga R. Phosphate solubilizing bacteria and their role in plant growth promotion. Biotechnol Adv. 1999;17:319–39.10.1016/S0734-9750(99)00014-2Search in Google Scholar

[5] Goldstein AH. Recent Progress in Understanding the Molecular Genetics and Biochemistry of Calcium Phosphate Solubilization by Gram Negative Bacteria. Biol Agric Hortic. 1995;12:185–93.10.1080/01448765.1995.9754736Search in Google Scholar

[6] Park JH, Bolan N, Megharaj M, Naidu R. Isolation of phosphate solubilizing bacteria and their potential for lead immobilization in soil. J Hazard Mater. 2011;185:829–36.10.1016/j.jhazmat.2010.09.095Search in Google Scholar

[7] Maroniche GA, Rubio EJ, Consiglio A, Perticari A. Plant-associated fluorescent Pseudomonas from red lateritic soil: Beneficial characteristics and their impact on lettuce growth. J Gen Appl Microbiol. 2016;62:248–57.10.2323/jgam.2016.04.006Search in Google Scholar

[8] Malboobi MA, Owlia P, Behbahani M, Sarokhani E, Moradi S, Yakhchali B, et al. Solubilization of organic and inorganic phosphates by three highly efficient soil bacterial isolates. World J Microbiol Biotechnol. 2009;25:1471–7.10.1007/s11274-009-0037-zSearch in Google Scholar

[9] Wen Z, Shen J, Blackwell M, Li H, Zhao B, Yuan H. Combined applications of nitrogen and phosphorus fertilizers with manure increase maize yield and nutrient uptake via stimulating root growth in a long-term experiment. Pedosphere. 2016;26:62–73.10.1016/S1002-0160(15)60023-6Search in Google Scholar

[10] Eida AA, Hirt H, Saad MM. Challenges faced in field application of phosphate-solubilizing bacteria. Rhizotrophs Plant Growth Promot. Bioremediation, Springer, Singapore; 2017, p. 125–43.10.1007/978-981-10-4862-3_6Search in Google Scholar

[11] Kloepper JW, Lifshitz R, Zablotowicz RM. Free-living bacterial inocula for enhancing crop productivity. Trends Biotechnol. 1989;7:39–44.10.1016/0167-7799(89)90057-7Search in Google Scholar

[12] Panhwar QA, Naher UA, Jusop S, Othman R, Latif MA, Ismail MR. Biochemical and molecular characterization of potential phosphate-solubilizing bacteria in acid sulfate soils and their beneficial effects on rice growth. PLOS ONE. 2014;9:e97241.10.1371/journal.pone.0097241Search in Google Scholar

[13] Ordoñez YM, Fernandez BR, Lara LS, Rodriguez A, Uribe-Vélez D, Sanders IR. Bacteria with phosphate solubilizing capacity alter mycorrhizal fungal growth both inside and outside the root and in the presence of native microbial communities. PLOS ONE. 2016;11:e0154438.10.1371/journal.pone.0154438Search in Google Scholar

[14] Vaneeckaute C, Janda J, Vanrolleghem PA, Tack FMG, Meers E. Phosphorus use efficiency of bio-based fertilizers: bioavailability and fractionation. Pedosphere. 2016;26:310–25.10.1016/S1002-0160(15)60045-5Search in Google Scholar

[15] Hussain MI, Lyra D-A, Farooq M, Nikoloudakis N, Khalid N. Salt and drought stresses in safflower: a review. Agron Sustain Dev. 2015;36:1–31.10.1007/s13593-015-0344-8Search in Google Scholar

[16] Nosheen A, Bano A, Ullah F, Farooq U, Yasmin H, Hussain I. Effect of plant growth promoting rhizobacteria on root morphology of Safflower (Carthamus tinctorius L.). Afr J Biotechnol. 2013;10:12638–49.Search in Google Scholar

[17] Nautiyal CS. An efficient microbiological growth medium for screening phosphate solubilizing microorganisms. FEMS Microbiol Lett. 1999;170:265–70.10.1111/j.1574-6968.1999.tb13383.xSearch in Google Scholar

[18] Sambrook J, Maniatis TE. Molecular cloning -a laboratory manual. 3rd ed. New York: Cold Spring Harbor Laboratory Press; 2001.Search in Google Scholar

[19] Weisburg WG, Barns SM, Pelletier DA, Lane DJ. 16S ribosomal DNA amplification for phylogenetic study. J Bacteriol. 1991;173:697–703.10.1128/jb.173.2.697-703.1991Search in Google Scholar

[20] Zhang Z, Schwartz S, Wagner L, Miller W. A greedy algorithm for aligning DNA sequences. J Comput Biol J Comput Mol Cell Biol. 2000;7:203–14.10.1089/10665270050081478Search in Google Scholar

[21] Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33:1870–4.10.1093/molbev/msw054Search in Google Scholar

[22] Kim KY, Jordan D, McDonald GA. Enterobacter agglomerans, phosphate solubilizing bacteria, and microbial activity in soil: Effect of carbon sources. Soil Biol Biochem. 1998;30:995–1003.10.1016/S0038-0717(98)00007-8Search in Google Scholar

[23] Rodriguez H, Gonzalez T, Goire I, Bashan Y. Gluconic acid production and phosphate solubilization by the plant growth-promoting bacterium Azospirillum spp. Naturwissenschaften. 2004;91:552–5.10.1007/s00114-004-0566-0Search in Google Scholar PubMed

[24] Scervino JM, Mesa MP, Mónica ID, Recchi M, Moreno NS, Godeas A. Soil fungal isolates produce different organic acid patterns involved in phosphate salts solubilization. Biol Fertil Soils. 2010;46:755–63.10.1007/s00374-010-0482-8Search in Google Scholar

[25] Lin T, Huang H, Shen F, Young C. The protons of gluconic acid are the major factor responsible for the dissolution of tricalcium phosphate by Burkholderia cepacia CC-Al74. Bioresour Technol. 2006;97:957–60.10.1016/j.biortech.2005.02.017Search in Google Scholar PubMed

[26] Naves L de P, Corrêa AD, Bertechini AG, Gomide EM, Santos C dos. Effect of ph and temperature on the activity of phytase products used in broiler nutrition. Braz J Poult Sci. 2012;14:181–5.10.1590/S1516-635X2012000300004Search in Google Scholar

[27] Igbasan FA, Männer K, Miksch G, Borriss R, Farouk A, Simon O. Comparative studies on the in vitro properties of phytases from various microbial origins. Arch Tierernahr. 2000;53:353–73.10.1080/17450390009381958Search in Google Scholar PubMed

[28] Greiner R, Konietzny U, Jany KD. Purification and characterization of two phytases from Escherichia coli. Arch Biochem Biophys. 1993;303:107–13.10.1006/abbi.1993.1261Search in Google Scholar PubMed

[29] Kim H, Kim Y, Lee J, Kim K, Kim Y. Isolation and characterization of a phytase with improved properties from Citrobacter braakii. Biotechnol Lett. 2003;25:1231–4.10.1023/A:1025020309596Search in Google Scholar

[30] Vats P, Banerjee UC. Production studies and catalytic properties of phytases (myo-inositolhexakisphosphate phosphohyd-rolases): an overview. Enzyme Microb Technol. 2004;35:3–14.10.1016/j.enzmictec.2004.03.010Search in Google Scholar

[31] Wyss M, Brugger R, Kronenberger A, Rémy R, Fimbel R, Oesterhelt G, et al. Biochemical characterization of fungal phytases (myo-inositol hexakisphosphate phosphohydrolases): catalytic properties. Appl Environ Microbiol. 1999;65:367–73.10.1128/AEM.65.2.367-373.1999Search in Google Scholar PubMed PubMed Central

[32] Wyss M, Pasamontes L, Rémy R, Kohler J, Kusznir E, Gadient M, et al. Comparison of the thermostability properties of three acid phosphatases from molds: Aspergillus fumigatus phytase, A. niger phytase, and A. niger PH 2.5 acid phosphatase. Appl Environ Microbiol. 1998;64:4446–51.10.1128/AEM.64.11.4446-4451.1998Search in Google Scholar PubMed PubMed Central

[33] Naseri R, Mirzaei A. Response of yield and yield components of Safflower (Carthamus tinctorius L.) to seed inoculation with Azotobacter and Azospirillum and different nitrogen levels under dry land condition. Am-Eurasian J Agric Env Sci. 2010;9:445–9.Search in Google Scholar

[34] Zahir ZA, Arshad M, Frankenberger WT. Plant growth promoting rhizobacteria: Applications and perspectives In agriculture. Adv. Agron., vol. 81, Academic Press; 2003, p. 97–168.10.1016/S0065-2113(03)81003-9Search in Google Scholar

[35] Nosheen A, Bano A, Yasmin H, Keyani R, Habib R, Shah STA, et al. Protein quantity and quality of safflower seed improved by NP fertilizer and rhizobacteria (Azospirillum and Azotobacter spp.). Front Plant Sci. 2016;7:1–12.10.3389/fpls.2016.00104Search in Google Scholar PubMed PubMed Central

[36] Kushwaha DS. Growth and yield of different cultivars of sesame (Sesamum indicum L.) as influenced by seed applied Azotobacter and phosphate solubilizing bacteria. Indian J Agric Res. 2011;45:326–30.Search in Google Scholar

[37] Belimov AA, Kojemiakov AP, Chuvarliyeva CV. Interaction between barley and mixed cultures of nitrogen fixing and phosphate-solubilizing bacteria. Plant Soil. 1995;173:29–37.10.1007/BF00155515Search in Google Scholar

Received: 2018-06-15
Accepted: 2019-02-25
Published Online: 2019-07-10

© 2019 Tingting Zhang et al., published by De Gruyter

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

Articles in the same Issue

  1. Plant Sciences
  2. Extended low temperature and cryostorage longevity of Salix seeds with desiccation control
  3. Genome-wide analysis of the WRKY gene family and its response to abiotic stress in buckwheat (Fagopyrum tataricum)
  4. Differential expression of microRNAs during root formation in Taxus chinensis var. mairei cultivars
  5. Metabolomics Approach for The Analysis of Resistance of Four Tomato Genotypes (Solanum lycopersicum L.) to Root-Knot Nematodes (Meloidogyne incognita)
  6. Beneficial Effects of Salt on Halophyte Growth: Morphology, Cells, and Genes
  7. Phosphate-solubilizing bacteria from safflower rhizosphere and their effect on seedling growth
  8. Anatomy and Histochemistry of the Roots and Shoots in the Aquatic Selenium Hyperaccumulator Cardamine hupingshanensis (Brassicaceae)
  9. Effects of LED light on Acacia melanoxylon bud proliferation in vitro and root growth ex vitro
  10. Ecology and Environmental Sciences
  11. Intensity of stripping and sugar content in the bark and the bast of European beech (Fagus sylvatica)
  12. Influence of monometallic and bimetallic phytonanoparticles on physiological status of mezquite
  13. Loci identification of a N-acyl homoserine lactone type quorum sensing system and a new LysR-type transcriptional regulator associated with antimicrobial activity and swarming in Burkholderia gladioli UAPS07070
  14. Bacillus methylotrophicus has potential applications against Monilinia fructicola
  15. Evaluation of Heavy Metals and Microbiological Contamination of Selected herbals from Palestine
  16. The effect of size of black cherry stumps on the composition of fungal communities colonising stumps
  17. Effect of rhamnolipids on microbial biomass content and biochemical parameters in soil contaminated with coal tar creosote
  18. Effects of foliar trichomes on the accumulation of atmospheric particulates in Tillandsia brachycaulos
  19. Isolation and characterisation of the agarolytic bacterium Pseudoalteromonas ruthenica
  20. Comparison of soil bioconditioners and standard fertilization in terms of the impact on yield and vitality of Lolium perenne and soil biological properties
  21. Biomedical Sciences
  22. The number of regulatory B cells is increased in mice with collagen-induced arthritis
  23. Lactate overload inhibits myogenic activity in C2C12 myotubes
  24. Diagnostic performance of serum CK-MB, TNF-α and hs-CRP in children with viral myocarditis
  25. Correlation between PPARGC1A gene rs8192678 G>A polymorphism and susceptibility to type-2 diabetes
  26. Improving the Detection of Hepatocellular Carcinoma using serum AFP expression in combination with GPC3 and micro-RNA miR-122 expression
  27. The ratio of neutrophil to lymphocyte is a predictor in endometrial cancer
  28. Expression of HER2/c-erbB-2, EGFR protein in gastric carcinoma and its clinical significance
  29. Clinical significance of neuropeptide Y expression in pelvic tissue in patients with pelvic floor dysfunction
  30. Overexpression of RASAL1 indicates poor prognosis and promotes invasion of ovarian cancer
  31. The effect of adrenaline on the mineral and trace element status in rats
  32. Effects of Ischemic Post-Conditioning on the Expressions of LC3-II and Beclin-1 in the Hippocampus of Rats after Cerebral Ischemia and Reperfusion
  33. Long non-coding RNA DUXAP8 regulates the cell proliferation and invasion of non-small-cell lung cancer
  34. Risk factors of regional lymph node metastasis in patients with cervical cancer
  35. Bullous prurigo pigmentosa
  36. Association of HIF-1α and NDRG2 expression with EMT in gastric cancer tissues
  37. Decrease in the level of nervonic acid and increased gamma linolenic acid in the plasma of women with polycystic ovary syndrome after a three-month low-glycaemic index and caloric reduction diet
  38. Depletion of VAX2 restrains the malignant progression of papillary thyroid carcinoma by modulating ERK signaling pathway
  39. Insulin resistance is a risk factor for mild cognitive impairment in elderly adults with T2DM
  40. Nurr1 promotes lung cancer apoptosis via enhancing mitochondrial stress and p53-Drp1 pathway
  41. Predictive significance of serum MMP-9 in papillary thyroid carcinoma
  42. Agmatine prevents oxidative-nitrative stress in blood leukocytes under streptozotocin-induced diabetes mellitus
  43. Effect of platelet-rich plasma on implant bone defects in rabbits through the FAK/PI3K/AKT signaling pathway
  44. The diagnostic efficacy of thrombelastography (TEG) in patients with preeclampsia and its association with blood coagulation
  45. Value of NSE and S100 Protein of Kawasaki Disease with aseptic meningitis in Infant
  46. CB2 receptor agonist JWH133 activates AMPK to inhibit growth of C6 glioma cells
  47. The effects of various mouthwashes on osteoblast precursor cells
  48. Co-downregulation of GRP78 and GRP94 induces apoptosis and inhibits migration in prostate cancer cells
  49. SKA3 up-regulation promotes lung adenocarcinoma growth and is a predictor of poor prognosis
  50. Protective effects and mechanisms of microRNA-182 on oxidative stress in RHiN
  51. A case of syphilis with high bone arsenic concentration from early modern cemetery (Wroclaw, Poland)
  52. Study of LBHD1 Expression with Invasion and Migration of Bladder Cancer
  53. 1-Hydroxy-8-methoxy-anthraquinon reverses cisplatin resistance by inhibiting 6PGD in cancer cells
  54. Andrographolide as a therapeutic agent against breast and ovarian cancers
  55. Accumulation of α-2,6-sialyoglycoproteins in the muscle sarcoplasm due to Trichinella sp. invasion
  56. Astragalus polysaccharides protects thapsigargin-induced endoplasmic reticulum stress in HT29 cells
  57. IGF-1 via PI3K/Akt/S6K signaling pathway protects DRG neurons with high glucose-induced toxicity
  58. Intra-arterial tirofiban in a male nonagenarian with acute ischemic stroke: A case report
  59. Effects of Huaiqihuang Granules adjuvant therapy in children with primary nephrotic syndrome
  60. Immune negative regulator TIPE2 inhibits cervical squamous cancer progression through Erk1/2 signaling
  61. Asymptomatic mediastinal extra-adrenal paraganglioma as a cause of sudden death: a case Report
  62. Primary mucinous adenocarcinoma of appendix invading urinary bladder with a fistula: a case report
  63. Minocycline attenuates experimental subarachnoid hemorrhage in rats
  64. Neural Remodeling of the Left Atrium in rats by Rosuvastatin following Acute Myocardial Infarction
  65. Protective effects of emodin on lung injuries in rat models of liver fibrosis
  66. RHOA and mDia1 promotes apoptosis of breast cancer cells via a high dose of doxorubicin treatment
  67. Bacteria co-colonizing with Clostridioides difficile in two asymptomatic patients
  68. A allele of ICAM-1 rs5498 and VCAM-1 rs3181092 is correlated with increased risk for periodontal disease
  69. Treatment of hepatic cystic echinococcosis patients with clear cell renal carcinoma: a case report
  70. Edaravone exerts brain protective function by reducing the expression of AQP4, APP and Aβ proteins
  71. Correlation between neutrophil count and prognosis in STEMI patients with chronic renal dysfunction: a retrospective cohort study
  72. Bioinformatic analysis reveals GSG2 as a potential target for breast cancer therapy
  73. Nuciferine prevents hepatic steatosis by regulating lipid metabolismin diabetic rat model
  74. Analysis of SEC24D gene in breast cancer based on UALCAN database
  75. Bioengineering and Biotechnology
  76. Co-cultured Bone-marrow Derived and Tendon Stem Cells: Novel Seed Cells for Bone Regeneration
  77. Animal Sciences
  78. Comparative analysis of gut microbiota among the male, female and pregnant giant pandas (Ailuropoda Melanoleuca)
  79. Adaptive immunity and skin wound healing in amphibian adults
  80. Hox genes polymorphism depicts developmental disruption of common sole eggs
  81. The prevalence of virulence genes and multidrug resistance in thermophilic Campylobacter spp. isolated from dogs
  82. Agriculture
  83. Effect of Lactobacillus plantarum supplementation on production performance and fecal microbial composition in laying hens
  84. Identification of Leaf Rust Resistance Genes in Selected Wheat Cultivars and Development of Multiplex PCR
  85. Determining Potential Feed Value and Silage Quality of Guar Bean (Cyamopsis tetragonoloba) Silages
  86. Food Science
  87. Effect of Thermal Processing on Antioxidant Activity and Cytotoxicity of Waste Potato Juice
Downloaded on 9.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/biol-2019-0028/html
Scroll to top button