Literature DB >> 27746807

Screening and Evaluation of the Bioremediation Potential of Cu/Zn-Resistant, Autochthonous Acinetobacter sp. FQ-44 from Sonchus oleraceus L.

Qing Fang1, Zhengqiu Fan1, Yujing Xie1, Xiangrong Wang1, Kun Li1, Yafeng Liu1.   

Abstract

The quest for new, promising and indigenous plant growth-promoting rhizobacteria and a deeper understanding of their relationship with plants are important considerations in the improvement of phytoremediation. This study focuses on the screening of plant beneficial Cu/Zn-resistant strains and assessment of their bioremediation potential (metal solubilization/tolerance/biosorption and effects on growth of Brassica napus seedlings) to identify suitable rhizobacteria and examine their roles in microbes-assisted phytoremediation. Sixty Cu/Zn-resistant rhizobacteria were initially isolated from Sonchus oleraceus grown at a multi-metal-polluted site in Shanghai, China. From these strains, 19 isolates that were all resistant to 300 mg⋅L-1 Cu as well as 300 mg⋅L-1 Zn, and could simultaneously grow on Dworkin-Foster salt minimal medium containing 1-aminocyclopropane-1-carboxylic acid were preliminarily selected. Of those 19 isolates, 10 isolates with superior plant growth-promoting properties (indole-3-acetic acid production, siderophore production, and insoluble phosphate solubilization) were secondly chosen and further evaluated to identify those with the highest bioremediation potential and capacity for bioaugmentation. Strain S44, identified as Acinetobacter sp. FQ-44 based on 16S rDNA sequencing, was specifically chosen as the most favorable strain owing to its strong capabilities to (1) promote the growth of rape seedlings (significantly increased root length, shoot length, and fresh weight by 92.60%, 31.00%, and 41.96%, respectively) under gnotobiotic conditions; (2) tolerate up to 1000 mg⋅L-1 Cu and 800 mg⋅L-1 Zn; (3) mobilize the highest concentrations of water-soluble Cu, Zn, Pb, and Fe (16.99, 0.98, 0.08, and 3.03 mg⋅L-1, respectively); and (4) adsorb the greatest quantities of Cu and Zn (7.53 and 6.61 mg⋅g-1 dry cell, respectively). Our findings suggest that Acinetobacter sp. FQ-44 could be exploited for bacteria-assisted phytoextraction. Moreover, the present study provides a comprehensive method for the screening of rhizobacteria for phytoremediation of multi-metal-polluted soils, especially those sewage sludge-amended soils contaminated with Cu/Zn.

Entities:  

Keywords:  Acinetobacter; Cu/Zn-resistant; Sonchus oleraceus; bioremediation; plant-growth-promoting rhizobacteria

Year:  2016        PMID: 27746807      PMCID: PMC5043060          DOI: 10.3389/fpls.2016.01487

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


Introduction

Heavy metal pollution of soils has become a global environmental concern. Even essential biological trace elements, such as Zn and Cu, can be toxic or lethal to organisms at high concentrations (Ouzounidou, 1995). Unlike organic compounds, heavy metals in soils cannot be mineralized or broken down to less toxic forms (Chen et al., 2014). A large proportion of heavy metals are generally bound to organic and inorganic soil components or exist as insoluble precipitates, and are thus unavailable for root uptake by field-grown plants (Raskin et al., 1994). Therefore, developing appropriate strategies for the remediation of heavy-metal-polluted soils demands urgent attention from the perspectives of environmental conservation and human health (Aboushanab et al., 2006). Phytoremediation, an emerging, challenging, and solar-driven in situ technology with lower cost and enhanced environmental friendliness in comparison to conventional physicochemical technologies, has received increasing attention from ecological researchers (Kumar et al., 1995). However, this plant-based technique is generally time-consuming, because most hyperaccumulators identified thus far are generally small-biomass and slow-growing (Rajkumar and Freitas, 2008a). Moreover, its efficiency is often limited by the metal bioavailability in soil, plant roots development, and plant tolerance to a particular metal (Pilon-Smits, 2005). Thus, developing alternative strategies that can improve the efficiency of phytoremediation are necessary. Several researchers have suggested biotechnological approaches and proposed to incorporate plant-associated microorganisms (rhizospheric, endophytic bacteria, and mycorrhizal fungi) into phytoextraction systems (Rajkumar and Freitas, 2008a; Ma et al., 2009a; Sessitsch et al., 2013). In such systems, the plants and rhizosphere are two key factors that make phytoremediation a viable in situ technology. On one hand, the plants to be used for remediation of metal-polluted soils must be qualified with tolerance to at least one metal, high competitiveness, fast growth, and large biomass (Glick, 2010). On the other hand, the rhizosphere, as an important soil-plant interface, provides a complex dynamic microenvironment where root-associated microorganisms form unique communities that have a high potential to detoxify hazardous waste compounds (De Souza et al., 1999; Alford et al., 2010). Moreover, the particular microbial community with high activity and large contact area probably acts as a source of microbial chelates (Kärenlampi et al., 2000). Thus, the microorganism-assisted phytoremediation potential, as well as the mechanisms by which rhizobacteria enhance phytoremediation efficiency, has been attracting increasing research interest lately. Among the plant-associated microbes, plant growth-promoting rhizobacteria (PGPR) are considered a major component of phytoremediation technology (Glick, 2003). They have capacity of plant growth-promoting (PGP) and improving phytoremediation by various mechanisms, including: fixation of atmospheric nitrogen, utilization of 1-aminocyclopropane-1-carboxylic acid (ACC), production of siderophores and antipathogenic substances, production of plant growth regulators, transformation of nutrient elements (Glick et al., 1999), bacteria-induced metal chelation (Adediran et al., 2015), and synthesis of cysteine-rich peptides (Adediran et al., 2016). Thus, inoculation with metal-resistant PGPR, particularly indigenous PGPR (Kozdrój et al., 2004), can improve the efficiency of heavy metal phytoremediation (Ma et al., 2011; Rajkumar et al., 2012). Therefore, researchers need to isolate and screen competitive and effective PGPR (Paau, 1989) that are well adapted to the conditions of a particular site (Sheng and Xia, 2006). Although PGPR play important roles in phytoremediation strategies, studies on Cu/Zn-resistant PGPR in this area remain very limited (Lucy et al., 2004), particularly field studies. Thus, more laboratory and field studies are needed to advance existing research. Sonchus oleraceus is a cosmopolitan weed species native to Europe and central Asia (Hutchinson et al., 1984) that grows readily and adapts to diverse environments in many countries (Holm et al., 1977). In China, S. oleraceus is also widely distributed as an annual and roadside pioneer plant. It is one of few species found at disrupted locations, such as oil well sites in oilfields and barren lands (Xiong et al., 1997). Furthermore, S. oleraceus is regarded as the most suitable candidate for the removal of Zn and Cd from soils (Khan et al., 1998). Despite numerous reports about rhizobacteria-enhanced phytoremediation of heavy metals (Sheng and Xia, 2006; Dell’Amico et al., 2008; Płociniczak et al., 2016), little information is available about effects Cu/Zn-resistant bacteria from the rhizosphere of S. oleraceus on plant growth and heavy metal bioavailability/biosorption in multi-metal-polluted soils. Thus, the quest for novel, beneficial and indigenous rhizobacteria among different plant species grown in multi-metal-polluted environments is very meaningful. In addition, to assess the potential rhizospheric mechanisms underlying the effects on plant growth and uptake and translocation of heavy metals, we explored the biochemical characteristics [production of indole-3-acetic acid (IAA), ACC deaminase (ACCD), and siderophores; and solubilization of inorganic phosphate] of selected bacteria. Furthermore, diverse genera of PGPR could affect plant growth in different ways, because the PGP effect could be plant- and/or PGPR-specific. Thus, our main objectives were to: (1) isolate and preliminarily screen Cu/Zn-resistant and ACCD-containing bacteria from the rhizosphere of S. oleraceus grown in multi-metal-polluted soils; (2) select indigenous PGPR with superior PGP traits that could effectively increase plant biomass under unfavorable conditions; and (3) evaluate the bioremediation potentials of different PGPR (Cu/Zn/Pb/Cd/Fe-solubilization, Cu/Zn-tolerance/biosorption and effects on the growth of rape) to identify more-suitable rhizobacteria and examine the effects of selected bacteria on plant growth and metal uptake/translocation in Brassica napus via sand culture experiments.

Materials and Methods

Sampling, Treatment, and Characterization of Soils and Plants

Soils were randomly sampled from a depth of 0–20 cm in the Jiading Wastewater Disposal Plant (31°22′32″ N, 121°09′57″ E), located at Shanghai, China. The soils used in this study were mixtures of sewage sludge and waste residue, and contaminated with multiple heavy metals. Before the experiments commenced, soil samples pretreatmented were air-dried for 1 month and sieved (4 mm) to remove as many plant materials, soil macrofauna, and stones as possible. The soil subsamples were then passed through a 2-mm stainless steel sieve, and subjected to physicochemical chatracterization according to standard methods (Lu, 1999), some of which are listed in Table Physicochemical and microbiological properties of the tested soils. Native in situ S. oleraceus plants were also randomly selected from the same wastewater disposal plant at which the multi-metal-polluted soils were collected. Soon after returning to the laboratory, the rhizospheric soils of S. oleraceus (2 cm radius around the roots) were collected by gently shaking the roots (Wenzel et al., 2003) to remove loosely attached soils and stored in a refrigerator at 4°C until further use.

Isolation and Preliminary Screening of Cu/Zn-Resistant and ACC-Utilizing Rhizobacteria

Rhizobacteria were isolated from S. oleraceus according to the protocol of Jiang et al. (2008). Sixty pure isolates were initially isolated and stored in 30% (v/v) glycerol at –80°C until further analysis (Wei et al., 2009). Viable bacterial populations, including total and resistant bacteria were counted by the plate count method. The CFU/g of fresh soil is presented in Table After isolation, all isolates were further streaked on two Luria–Bertani medium (LB) agar plates containing either Zn or Cu (100 to 500 mg⋅L-1, respectively) and monitored for growth. All plates were incubated in triplicate at 30°C for 48 h. In order to obtain Cu/Zn-resistant PGPR, 46 isolates that were all simultaneously resistant to 300 mg⋅L-1 Cu and 300 mg⋅L-1 Zn were further tested for their ability to grow on Dworkin–Foster (DF) salt minimal medium containing ACC (denoted ADF) as a sole nitrogen source (Dworkin and Foster, 1958). The DF medium containing (NH4)2SO4 (Rajkumar and Freitas, 2008b) (denoted NDF) and without a nitrogen source were used as controls. We also analyzed the ACCD activity of cell-free extracts analyzed by quantifying the amount of α-ketobutyrate according to a modified method of Honma and Shimomura (1978). After preliminary screening, 19 isolates that were resistant to both 300 mg⋅L-1 Cu and 300 mg⋅L-1 Zn, and simultaneously growing on ADF were selected for further evaluation of PGP parameters (secondary screening).

Evaluation of PGP Properties

Synthesis of IAA by the 19 isolates was quantified as described by Bric et al. (1991), using LB broth supplemented with 0.5 mg⋅mL-1 L-tryptophan. The IAA concentrations were calculated using a calibration curve of pure IAA as the standard (Sigma, USA). Bacterial siderophore production was detected and quantified by the chrome azurol S (CAS) analytical method (Schwyn and Neilands, 1987). According to this assay, the siderophore levels were defined as the A/Ar ratio and a smaller A/Ar ratio indicated higher siderophore output (Sheng et al., 2008). The phosphate-solubilizing ability of the isolates was analyzed in Pikovskaya’s medium (Pikovskaya, 1948) supplemented with 0.5% tricalcium phosphate. The soluble phosphate in the supernatant was quantified by the Mo-blue method (Watanabe and Olsen, 1965). After secondary screening, 10 functional strains with superior PGP traits were selected for further evaluation of bioremediation potential (the third screening).

Evaluation of Bioremediation Potential by Functional Strains

Activation of Soil Metals by Functional Strains

Batch experiments on the effects of the 10 functional isolates on metal mobility in soil were conducted in triplicate 50-mL scaled polypropylene centrifuge tubes according to Chen et al. (2005). Briefly, pure cultures of functional strains were centrifuged at 8000 rpm for 10 min after 20 h of growth, washed twice in phosphate buffer (pH 7.0), and re-suspended in sterile distilled water. One milliliter of each washed bacterial suspension (OD600 = 1.0 ± 0.05) or sterile water (control) was added to the 1 g of autoclaved soils. All tubes were weighed, wrapped in brown paper, and placed on an orbital shaker at 180 rpm and 28°C. After 1 week, the tubes were weighed again to compensate for evaporation. Sterile water (10 mL) was then added to extract water-soluble metals. The soil suspensions were vibrated at 25°C for 2 h and centrifuged at 10,000 rpm for 10 min. The resulting supernatants were filtered through a 0.22-μm membrane filter for determination of pH and water-soluble Cu/Zn/Pb/Cd/Fe. The metal concentrations were determined by inductively coupled plasma-mass spectrometry (ICP-MS, SPECTRO).

Minimum Inhibitory Concentration (MIC) of Functional Strains

To check the extent of resistance, we used the secondly selected isolates to determine the lowest concentration of Cu and Zn that completely inhibited the growth of bacterial strains, termed as the minimum inhibitory concentration (MIC). Isolates were streaked in triplicate on LB agar media supplemented with varying concentrations (600 to 1000 mg⋅L-1) of Cu and Zn, respectively. For each strain and each metal, the lowest concentration that inhibited visible growth at 28°C within 3 days was determined.

Metal Biosorption Analyses

The biosorption of Cu and Zn by bacterial cells was evaluated as described by Hernández et al. (1998) with some modifications. Bacterial cells obtained from the bacterial cultures (grown in LB broth at 28°C, OD600 = 1.0 ± 0.05) were harvested by centrifugation at 8000 rpm for 20 min and washed twice with sterile deionized water. The harvested cells were re-suspended in 150 mg⋅L-1 of Cu or Zn. An uninoculated solution was used as the control. After incubation at room temperature for 10 h, the cells were harvested following centrifugation and the residual metal ions in the supernatant were measured using a flame atomic absorption spectrophotometer (Varian Spectra model AA240FS; USA). The amount of metal absorbed by the bacterial cells was calculated by subtracting the metal concentration in the supernatant from the original concentration.

In vivo Plant Growth Promotion Assay

Growth promotion of the secondly selected isolates was tested according to Patten and Glick (2002) with some modifications. Seeds of B. napus var. Zhongyou-1 were surface-sterilized with a mixture of absolute ethanol and 30% hydrogen peroxide (1:1, v/v) for 20 min, and washed twice with sterile distilled water before being transferred to sterile filter paper in a Petri dish. Seed sterility was monitored by incubating the seeds on LB agar at 30°C and aseptically placed on moistened filter paper. Then 6 mL of each bacterial suspension (OD600 = 0.5 ± 0.02) or sterile distilled water (uninoculated control) was added to glass Petri dishes with two-double filter paper. After incubation of closed Petri dishes for 7 days at 28°C in the dark, the root length, shoot length, fresh weight, and number of seedlings that had sprouted within 3 days were determined. The assay was performed twice with two dishes (10 seeds per dish) for each treatment. After the third screening, among the 10 functional strains, S44 with the highest bioremediation potentials was selected for genetic identification.

Genetic Identification of S44

Genomic DNA of S44 was extracted as per a previously reported protocol (Araújo et al., 2002), and used as a template in 16S rDNA PCR amplification with universal primers 27F (5′-GAGTTTGATCACTGGCTCAG-3′) and 1492R (5′-TACGGCTACCTTGTTACGACTT-3′) (Byers et al., 1998). PCR amplification was performed in a DNA Engine Thermal Cycler (PTC-200, BioRad, USA) under the reaction conditions described by (Branco et al., 2005). The amplified product was purified with a DNA Purification Kit and sequenced at HuaDa Biotechnology Company (Shanghai, China). The partial 16S rDNA sequences obtained were matched with nucleotide sequences in GenBank using the BLAST tool[1] Neighbor joining phylogenetic trees were constructed after calculation of a maximum composite likelihood distance matrix using the MEGA 4.0 software (Tamura et al., 2007).

Sand Culture Experiment

Based on the results of the third screening, the Acinetobacter sp. FQ-44 was selected for preliminarily exploring roles of the plant-rhizobacteria partnership in heavy metal remediation. Surface-sterilized seeds of B. napus were pregerminated on sterile filter paper in a Petri dish. After germination (4 days), uniform seedlings were selected and soaked for 2 h in the bacterial culture (OD600 of 1.0 ± 0.05) or sterile water (control). Six seedlings were subsequently transplanted into a plastic pot (top diameter 85 mm, bottom diameter 65 mm, and height 105 mm) containing sterilized vermiculite and saturated with sterile half-strength Hoagland’s nutrient solution (Barac et al., 2004). One week after transplantation, seedlings were thinned to three per pot and subjected to various concentrations of Cu (2, 5, and 10 mg/L). Three replicates were conducted for each treatment. The plantlets were allowed to grow under greenhouse conditions (25 ± 5°C, 16:8 day/night regime). After 45 days, plants were carefully removed from the pots and root surfaces were immersed in 0.01 M EDTA for 30 min, and then rinsed thoroughly with deionized water to remove any surface adsorbed metals. Fresh and dry weights were measured and the concentrations of Cu in roots and shoots were determined using a flame atomic adsorption spectrophotometer. The translocation factor (TF) was calculated as the ratio of metal concentration in the shoots to that in the roots (Liu et al., 2009) and the bioaccumulation factor (BCF) was calculated as the ratio of metal contents in the entire plant to that in the soil (Bu-Olayan and Thomas, 2009).

Statistical Analyses

Results for each treatment were expressed as means ± SD. Significant differences between parameters were tested using the post hoc Fisher’s protected least significant difference (LSD) test after one-way ANOVA. All statistical analyses, including the Pearson’s correlation analysis, were conducted using SPSS 18.0 (SPSS Inc., USA). Unless otherwise indicated, significant level was set at P < 0.05. Graphical analyses were performed on SigmaPlot 11.0 (Jandel Scientific, USA).

Results and Discussion

Isolation and Preliminary Screening of Cu/Zn-Tolerant and ACC-Utilizing Rhizobacteria

Before preliminary screening and identification, 60 cultivable isolates that were simultaneously resistant to 50 mg⋅L-1 of Zn and 50 mg⋅L-1 Cu, were isolated initially from the rhizosphere of S. oleraceus and named S1–S60. These bacterial isolates were autochthonous to the metal-polluted site and were thus more suitable for in situ phytoremediation of the multi-metal-polluted soils. As reported, rhizobacteria isolated from multi-metal-polluted natural environments can be constitutively or adaptively resistant to increasing metal concentrations, as they have adapted to such environments (Nies, 2003). Soil microbes with generally higher metal resistance are the preferred choice for phytoremediation studies. Our results indicate that most of the isolates tested were resistant to different concentrations of Zn and Cu (Supplementary Table ). Among all isolates, 34 were simultaneously resistant to 400 mg⋅L-1 Zn and 400 mg⋅L-1 Cu, among which some were even tolerant of 500 mg⋅L-1 Zn or Cu; whereas 46 isolates were able to simultaneously resist 300 mg⋅L-1 Zn and 300 mg⋅L-1 Cu. To obtain more plant beneficial strains, these 46 isolates were selected for further testing of their ACC utilization ability. Among those 46 isolates, 19 isolates grew significantly better on ADF and NDF than on DF (P < 0.05) (Figure ). Although these isolates grew well on ADF and NDF, their growth without a nitrogen source was limited (Figure ). Thus, these 19 rhizobacteria had the potential to utilize ACC as a sole nitrogen source. Moreover, they had the ability to grow on ADF to produce ACCD (Figure ; Supplementary Table ), which was supported by earlier observations that ACC-utilizing bacteria could generally produce ACCD. As reported, ACC-utilizing bacteria have been found to facilitate plant growth by producing ACCD that hydrolyzes the ethylene precursor ACC into α-ketobutyrate and ammonia (Glick, 2005) in the presence of salts or heavy metals (Belimov et al., 2005; Zahir et al., 2009). Consequently, these ACC-utilizing isolates could be important for PGPR-mediated phytoremediation. Capacity for growth of 19 Cu/Zn-resistant isolates on ADF Different small letters denote significant differences between treatments and an asterisk (∗) represents a significantly greater value on ADF and NDF compared to DF (P < 0.05).

Screening of Functional Strains with Superior PGP Ability

Various PGP characteristics could contribute to reduced metal stress and increased growth in their host plants (Ma et al., 2011; Rajkumar et al., 2012). In our study, all 19 ACC-utilizing isolates had inherent abilities of IAA production, siderophore production, and insoluble phosphate solubilization (Supplementary Table ). Out of 19 isolates, 10 with superior PGP traits were selected for statistical analyses (Table ), because each had three indices that were all ranked in the top 10. PGP features of functional strains and pH of solutions in the phosphate solubilization experiment. As shown in Table , S44, the best IAA producer (29.57 mg⋅L-1) in our study, produced significantly more IAA than the other nine strains (P < 0.05). As reported similarly, Enterobacter ludwigii BNM 0357 released about 30 μg IAA mL-1 (Shoebitz et al., 2009). In addition, the IAA production abilities of all 10 isolates might be within a reasonable range for observable PGP effects (Ma et al., 2009b) that might contribute to increased plant biomass. As reported, a low IAA production by PGP bacteria promotes primary root elongation, whereas a high level inhibit primary root growth (Xie et al., 1996). Our rape inoculation experiments also indicated the 10 moderate IAA producers were able to increase root length, which was generally promoted by IAA-producing rhizobacteria (Patten and Glick, 1996). Moreover, Pearson’s correlation analysis also revealed that IAA was significantly positively correlated with the fresh weight of seedlings (r = 0.70, P = 0.02). Siderophores, another important PGPR-released metabolites, indirectly alleviate heavy metal toxicity by increasing the supply of iron to plants (Burd et al., 2000), thereby facilitating plant growth. In our study, siderophore production was highest in S29 among the 10 isolates, whereas it was lowest in S25 (Table ). Furthermore, siderophores were responsible for the mobilization of insoluble metals such as Fe (Table ) and were positively correlated with three growth parameters (Supplementary Table ), although this was not significant (P > 0.05). Our results concurring with the earlier observations also show that siderophores produced by rhizosphere microorganisms could supply iron to plants via Fe-siderophore complexes under iron-limited conditions (Crowley et al., 1988) and inoculation with a siderophore-producing strain promotes plant growth (Tripathi et al., 2005). Correlations between solubilization factors and water-soluble heavy metals. Another crucial PGP mechanism is phosphate solubilization, through which microbes enhance P availability to the host plant and thereby contribute to plant–bacteria interactions and PGP effects in metal-polluted soils (Zaidi et al., 2006). Our findings indicate that phosphate solubilization was positively correlated with all growth parameters (r = 0.45, 0.18, and 0.51 for root length, shoot length, and fresh weight, respectively) (Supplementary Table ). Moreover, Rajkumar et al. (2009) also reported that phosphate solubilization in the rhizosphere greatly contributes to the PGP effects of bacteria. In addition, the highest phosphate-solubilizing ability was also observed in S44 (74.75 mg⋅L-1), which was significantly higher than other nine isolates (P < 0.05, Table ). The foregoing analyses indicate that these isolates were able to facilitate the growth of B. napus probably through these PGP traits. Consequently, the screening of soil bacteria with superior PGP abilities in a multi-metal-polluted environment is one key step in phytoremediation studies.

Final Choice of S44

Effects of Functional Strains on the Mobility of Soil Metals

Besides PGP traits, successful phytoremediation also depends mainly on metal bioavailability in the soil (Shallari et al., 2001). Therefore, to obtain effective metal-mobilizing strains, we further evaluated the ability of 10 isolates to increase water-soluble Cu, Zn, Cd, Pb, and Fe concentrations in soils. As expected, the presence of bacteria resulted in increased concentrations of water-extractable Cu, Zn, Pb, Cd, and Fe in autoclaved soil compared to axenic soil (Figure ). These results suggest that the 10 Cu/Zn-resistant isolates had metal-solubilizing potential in heavy metal-polluted soil, thereby increasing metal bioavailability. As reported, Soil microorganisms can affect metal mobility and availability via the release of siderophores (Braud et al., 2009) and solubilization of metal phosphates (Aboushanab et al., 2006). Our results also indicate that siderophore and phosphate solubilization were both positively correlated with concentrations of water-soluble Cu, Zn, Pb, Cd, and Fe (Table ). Effects of inoculation with 10 isolates on mobilization of Cu Values are expressed as means ± SE, n = 9. ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001; ns, no significant difference. Different letters above the bar indicate significant differences among treatments at the level of P < 0.05 according to the Fisher’s protected LSD test. Although all 10 isolates had the potential to facilitate the release of non-labile-phase Cu, Zn, Cd, Pb, and Fe from sterile soils, their effects actually differed (Figure ). For example, the greatest amounts of water-soluble Cu, Zn, Pb, and Fe released in the soil were all found in S44, which were 16.99, 0.98, 0.08, 3.03 mg⋅L-1, respectively, but that of water-soluble Cd was observed in S45. Moreover, inoculation with S44 significantly increased the concentrations of water-soluble Cu, Zn, Pb, Cd, and Fe in soil by 1.88-, 0.44-, 0.71-, 2.50-, and 0.22-fold, respectively, compared to the control. Furthermore, the soil pH following inoculation with S44 dropped significantly compared to the control (P < 0.05; Table ). In addition, mobilization characteristics differed among the metals (Figure ), which could be explained by the physicochemical properties of the various metals, metal-microbe interactions, as well as the unordered competition between metals. However, some isolates, such as S44 and S45, that exhibited high mobilization of one metal, were also remarkably capable of mobilizing other metals.

MIC of Functional Strains

The preliminary resistance results showed that some isolates were able to grow in higher concentrations of all tested metals. Thus, to determine the extent of resistance, we assessed the Cu and Zn MICs of the secondly selected isolates. Our toxicity tests show that S26, S42, S44, S45, and S57 tolerated relatively high levels of Cu and Zn (Table ). Moreover, among the 10 functional strains, S42, S44, and S45 had the highest Cu (1000 mg⋅L-1) and Zn (800 mg⋅L-1) MICs. This high tolerance of Cu and Zn could be attributed to the fact that these bacteria were isolated from the sewage-amended soils containing high levels of Cu and Zn. However, strain S21 was less tolerant of Cu (600 mg⋅L-1) and Zn (400 mg⋅L-1). In addition, the present results also indicate that Zn was more toxic to the isolates than Cu, which was different from some previous studies (Hassen et al., 1998; Jiang et al., 2008; Guo et al., 2011). MIC of the secondly selected rhizobacteria.

Metal Biosorption Potential of Secondly Selected Isolates

With respect to microbial remediation, it is very important to determine whether selected bacteria have the capacity for metal uptake. Our results indicate that different isolates exhibited different capacities for biosorption of the metal ions tested (Figure ). Moreover, S44 exhibited the highest potentials to remove Cu (7.53 mg⋅g-1 dry cell) and Zn (6.61 mg⋅g-1 dry cell), and absorbed significantly more Cu and Zn than the other nine isolates (P < 0.05). Thus, application of the effective metal-solubilizing/absorbing S44 would be helpful for improving microbe-assisted phytoremediation. As reported, the biosorption capacity of bacteria plays an important role in reducing metal phytotoxicity by limiting the entry of metal ions into plant cells, and might contribute to enhanced plant growth in metal-contaminated soils (Ma et al., 2011). Furthermore, it should be noted that the biosorption ability for Cu was higher than that for Zn (Figure ). One possible explanation could be that Cu (0.72 Å) with smaller ionic radius might be more rapidly complexed by bacterial cell wall/membrane compared to Zn (0.88 Å) (Karakagh et al., 2012). Another explanation probably was that Zn was more toxic to these isolates than Cu. Biosorption of Cu Different letters above the bar indicate significant differences among treatments at the level of P < 0.05 according to the Fisher’s protected LSD test.

Effects of Functional Strains on Rape Growth

After the 10 representative isolates infecting sterile B. napus L. seeds, seed germination was neither significantly inhibited nor stimulated. For example, seed germination after inoculation with S23 was equal to that of the control (Table ). Growth parameters of Brassica napus L. seedlings in sterile filter paper following infection with 10 isolates. A deeper understanding of plant-microbe interactions is complicated, but applicable to microbe-assisted phytoreme diation. In our study, seeds inoculated with the various isolates all had longer roots compared to the control (Table ). Moreover, the most significant increase in root length was observed with S44 (92.60%, P < 0.05). Although the maximum shoot elongation was observed with S57, inoculation with S44 significantly increased shoot length by 31.00% (P < 0.05), compared to the control. Furthermore, the maximum promoting effect on fresh weight was also observed with S44, showing a significant increase by 41.96% (P < 0.05; Table ). In addition, the highest seed vigor index was observed with S57 followed by S44 and S30, all exhibiting significant effects (P < 0.05). The foregoing results indicate that S44 has higher potential to facilitate the growth of B. napus. Although the selected isolates showed PGP effects, these responses were not evaluated in the presence of metal stress, which would more effectively demonstrate PGPR-mediated phytoremediation. Of the 10 functional strains, S44 was selected as the most active strain (tolerance of up to 800 mg⋅L-1 Zn and 1000 mg⋅L-1 Cu, adsorption/solubilization of the largest quantities of Cu and Zn, the maximum root length and fresh weight-promoting effects) for molecular identification.

Molecular Identification of Strain S44

S44 was identified as a species of Acinetobacter sp. by 16S rDNA gene sequencing and was named Acinetobacter sp. FQ-44. The highest sequence similarity (99%) and the phylogenetic tree in Figure , based on 16S rDNA sequences reveal a relationship between FQ-44 and other relevant bacteria reported. The 16S rDNA sequences (1443 bp) of FQ-44 were deposited in GenBank under accession No. KU206487. Neighbor joining phylogenetic tree analysis of FQ-44 with closely related strains from GenBank and relevant reports. The scale bar represents 0.01 substitutions per site.

Influence of FQ-44 on Growth and Cu Uptake by B. napus

The plant–bacteria partnership can be applied to increase the phytoremediation efficiency of soil and water contaminated with organic and/or inorganic pollutants (Khan et al., 2015). Therefore, the effects of metal-mobilizing FQ-44 on growth and metal uptake/translocation by B. napus were evaluated. As expected, FQ-44 significantly increased the dry weight of B. napus cultivated in different concentrations of Cu (Figure ). In general, inoculation with FQ-44 significantly increased plant uptake of Cu (Table ), which is consistent with significant improvements of BCF of Cu induced by FQ-44. Moreover, FQ-44 also significantly increased the TF of Cu (P < 0.05, Table ), besides the Cu concentration of 2 mg/L. Yoon et al. (2006) also demonstrated that plants with a greater BCF and TF have the potential for use in heavy metal phytoextraction. The above results suggest that FQ-44 can be used to facilitate the phytoextraction of Cu. Previously, Rojas-Tapias et al. (2012) also reported that Acinetobacter sp. CC30 significantly enhanced Cu uptake by sunflowers. Moreover, Jing et al. (2014) reported that Enterobacter sp. JYX7 and Klebsiella sp. JYX10 significantly improved Zn uptake by B. napus. Recently, Płociniczak et al. (2016) also reported that Brevibacterium casei MH8a colonized white mustard plant tissues and enhanced Cu and Zn phytoextraction. Effects of FQ-44 on dry weight of root and shoot in Values are expressed as means ± SE, n = 9, ∗∗∗P < 0.001. Different letters above the bar indicate significant differences within the same microbial treatments (control and inoculation) at the level of P < 0.05, according to the Fisher’s protected LSD test. Cu2, 2 mg/L Cu; Cu5, 5 mg/L Cu; Cu10, 10 mg/L Cu. Effects of FQ-44 on accumulation, uptake, BCF, and TF of Cu in B. napus cultivated in the presence of Cu at various concentrations. Although FQ-44 showed PGP effects on rape and enhanced phytoextraction of Cu, its colonization and survival properties are crucial features to evaluate its capacity for promoting sustainable plant growth and cope with metal stress in contaminated sites (Ma et al., 2011). Therefore, future studies using pot experiments containing in situ soils are needed to examine the specific effects of selected FQ-44 on the growth of host plants, and to determine whether it has the advantage of rhizosphere colonization.

Conclusion

In the present study, the selection of Cu/Zn-resistant FQ-44 isolated from S. oleraceus was evaluated through three inter-causal screenings. Our results indicate that FQ-44 has potential to facilitate B. napus growth and enhance phytoextraction of Cu by sand culture experiment, which could be attributed to beneficial PGP traits; increased concentrations of water-soluble Cu, Cd, Zn, Pb, and Fe; and tolerance and adsorption of Cu and Zn that effectively improved microbe-assisted phytoremediation. Consequently, these advantages confer bioinoculant properties to FQ-44 that would be helpful for enhancing phytoremediation efficiency of multi-metal-polluted soils, particularly Cu/Zn-contaminated soils. Moreover, the proposed approach to screening in the present study could be useful for the isolation of effective strains and improvement of phytoremediation. Although FQ-44 possessed PGP traits to facilitate B. napus growth and critical bioremediation potentials, in many cases PGP bacteria failed to induce the desired effects, when applied in a natural environment. Further research will address: (1) the interactions between FQ-44 and host plants; (2) the colonization potential of FQ-44 and mechanisms contributing to increased plant biomass and metal uptake/translocation by pot experiment containing in situ soils; and (3) the roles of FQ-44 in field phytoremediation experiments.

Author Contributions

Conceived and designed the experiments: XW, QF, ZF, and YX. Conducted the work: QF. Analyzed the data: XW, QF, ZF, and YX. Contributed reagents/materials/analysis tools: XW, ZF, YX, and KL, YL. Wrote the manuscript: QF.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Table 1

Physicochemical and microbiological properties of the tested soils.

ParameterData (means ± SE, n = 3)
Soil textureSandy loam soil
pH (H2O, 1:2 w/v)7.71 ± 0.05
Cation exchange capacity (cmol⋅kg-1)15.26 ± 0.03
Organic matter (%)2.63 ± 0.02
Electric conductivity at 25°C (mS⋅cm-1)3.04 ± 0.04
Total N (mg⋅kg-1)1620.35 ± 113.00
Total Fe (mg⋅kg-1)297.10 ± 0.13
Total Zn (mg⋅kg-1)1263.78 ± 0.43
Total Pb (mg⋅kg-1)153.26 ± 0.05
Total Ni (mg⋅kg-1)65.21 ± 0.02
Total Cr (mg⋅kg-1)206.61 ± 0.11
Total Cd (mg⋅kg-1)3.03 ± 0.01
Total Hg (mg⋅kg-1)0.31 ± 0.03
Total Cu (mg⋅kg-1)650.10 ± 0.21
Total As (mg⋅kg-1)11.54 ± 0.03
Total cultivable bacterial counta2.55 ± 3.28 × 1011
Zn-resistant bacterial count9.63 ± 2.08 × 108
Cu-resistant bacterial count7.79 ± 7.56 × 109
Table 2

PGP features of functional strains and pH of solutions in the phosphate solubilization experiment.

Functional strainsIAA synthesis (mg⋅L-1)Siderophore production (A/Ar)aPhosphate solubilization (mg⋅L-1)bpH
S2110.55 ± 0.08d0.13 ± 0.01ab53.34 ± 1.29b6.34 ± 0.18a
S236.48 ± 0.24bc0.29 ± 0.01bcd34.21 ± 1.06a7.42 ± 0.03d
S257.01 ± 0.58c0.40 ± 0.09d36.36 ± 1.41a6.97 ± 0.10bc
S263.45 ± 0.29a0.25 ± 0.05abcd35.00 ± 0.96a7.17 ± 0.23cd
S294.42 ± 0.15ab0.10 ± 0.01a39.42 ± 1.38a7.39 ± 0.03d
S305.10 ± 0.16abc0.12 ± 0.05a35.45 ± 1.06a7.39 ± 0.07d
S4220.17 ± 0.26e0.34 ± 0.09cd39.76 ± 0.82a7.52 ± 0.01d
S4429.57 ± 0.95g0.29 ± 0.04bcd74.75 ± 1.48c6.76 ± 0.03b
S4525.15 ± 0.56f0.34 ± 0.02cd55.38 ± 1.41b7.19 ± 0.08cd
S579.81 ± 0.20d0.23 ± 0.02abc55.81 ± 1.55b7.41 ± 0.01d
Table 3

Correlations between solubilization factors and water-soluble heavy metals.

CorrelationsSolubilization factorsWater-soluble heavy metals


pHPhosphate solubilizationSiderphoresCuZnPbCdFe
pH1.00-0.10-0.420.47-0.57-0.06-0.510.13
Phosphate solubilization-0.101.000.070.440.500.470.260.54
Siderphores-0.420.071.000.050.670.450.24.08
Cu0.470.440.051.000.390.06-0.220.49
Zn-0.570.500.670.391.000.310.340.37
Pb-0.060.470.450.060.311.00-0.240.00
Cd-0.510.260.24-0.220.34-0.241.000.61
Fe0.130.540.080.490.370.000.611.00
Table 4

MIC of the secondly selected rhizobacteria.

MetalsMIC (mg⋅L-1)

S21S23S25S26S29S30S42S44S45S57
Zn400600500700500600800800800700
Cu600800700900800800100010001000800
Table 5

Growth parameters of Brassica napus L. seedlings in sterile filter paper following infection with 10 isolates.

FunctionalstrainsRoot length (cm)Shoot length (cm)Fresh weight (mg)aGermination(%)Vigor indexb
Control4.19 ± 0.58a5.58 ± 0.12ab73.40 ± 0.52a80.007.85 ± 0.09a
S215.27 ± 0.66ab6.44 ± 0.51abc86.60 ± 1.39abc82.509.63 ± 0.24b
S235.59 ± 0.55abc7.52 ± 0.41c94.90 ± 1.82bcd80.0010.49 ± 0.15bc
S255.37 ± 0.72ab6.73 ± 0.79abc82.10 ± 2.09ab85.0010.29 ± 0.20bc
S266.34 ± 0.71bcde5.26 ± 0.28a87.90 ± 0.96bc90.0010.44 ± 0.24bc
S296.37 ± 0.57bcde7.56 ± 0.59c97.10 ± 0.78bcd87.5012.19 ± 0.15de
S307.07 ± 0.34bcde7.05 ± 0.83bc93.13 ± 1.94bcd87.5012.35 ± 0.23ef
S427.37 ± 0.54cde7.88 ± 0.55c100.83 ± 1.79cd77.5011.82 ± 0.14cde
S448.07 ± 0.31e7.31 ± 0.24c104.20 ± 1.06d90.0013.84 ± 0.11fg
S455.84 ± 0.40abcd6.68 ± 0.47abc100.10 ± 1.30cd85.0010.63 ± 0.12 bcd
S577.68 ± 0.55de7.96 ± 0.32c95.60 ± 1.31bcd90.0014.08 ± 0.14h
Table 6

Effects of FQ-44 on accumulation, uptake, BCF, and TF of Cu in B. napus cultivated in the presence of Cu at various concentrations.

MicrobialtreatmentsCutreatments (mg/L)Cu rootconcentrations (mg/kg DW)Cu shootconcentrations (mg/kg DW)TFCu root contents (μg)Cu shoot contents (μg)BCF
Control274.39 ± 2.61a51.36 ± 1.34a0.694.15 ± 0.18a10.14 ± 0.13a0.48
5165.14 ± 3.62b81.32 ± 2.07b0.497.30 ± 0.13b11.91 ± 0.19b0.38
10258.67 ± 4.34c126.47 ± 3.26c0.499.34 ± 0.33c12.06 ± 0.30b0.21
FQ-44277.22 ± 2.93nsA53.44 ± 1.26nsA0.69ns5.47 ± 0.16***A13.53 ± 0.14***A0.63∗∗
5161.58 ± 3.75nsB85.78 ± 3.69*B0.538.89 ± 0.18***B16.47 ± 0.26***B0.50∗∗
10239.11 ± 4.80**C155.41 ± 3.25***C0.65∗∗∗9.94 ± 0.22nsC18.26 ± 0.38***C0.28
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