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. 2021 Jul 16;12:693535. doi: 10.3389/fmicb.2021.693535

The Long-Term Effects of Using Phosphate-Solubilizing Bacteria and Photosynthetic Bacteria as Biofertilizers on Peanut Yield and Soil Bacteria Community

Yiming Wang 1,2,*,†, Shuang Peng 1,3,†, Qingqing Hua 1, Chongwen Qiu 1, Pan Wu 1, Xiaoli Liu 1,4, Xiangui Lin 1
PMCID: PMC8322663  PMID: 34335521

Abstract

Microbial inoculation is a promising strategy to improve crop yields and reduce the use of chemical fertilizers, thereby creating environment-friendly agriculture. In this study, the long-term (5 years) effects of a phosphate-solubilizing bacterium Burkholderia cepacia ISOP5, a purple non-sulfur bacterium Rhodopseudomonas palustris ISP-1, and a mixed inoculation of these two bacteria (MB) on peanut yield, soil microbial community structure, and microbial metabolic functions were evaluated in a field experiment. After 5 years of inoculation, total peanut yield with B. cepacia ISOP5, R. palustris ISP-1, and MB treatments increased by 8.1%, 12.5%, and 19.5%, respectively. The treatments also significantly promoted the absorption of N and increased the protein content in peanut seeds. Nutrient content also increased to some extent in the bacteria-inoculum-treated soil. However, bacterial community diversity and richness were not significantly affected by bacterial inoculums, and only minor changes occurred in the bacterial community composition. Functional prediction revealed that bacterial inoculums reduced the relative abundance of those genes associated with P uptake and transport as well as increased the abundance of genes associated with inorganic P solubilization and organic P mineralization. Bacterial inoculums also increased the total relative abundance of genes associated with N metabolism. In addition to developing sustainable and eco-friendly agricultural practice, crop inoculation with B. cepacia ISOP5 and R. palustris ISP-1 would improve soil fertility, enhance microbial metabolic activity, and increase crop yield.

Keywords: phosphate solubilizing bacteria, purple non-sulfur bacteria, peanut yield, bacteria community, soil microbial P-transformation

Introduction

Plants are closely associated with a wide variety of bacterial taxa, which play crucial roles in plant growth, disease prevention, and stress tolerance. Among these beneficial bacteria, plant growth-promoting bacteria (PGPB) are the most extensively studied (Lee et al., 2008). These bacteria have been isolated from the rhizosphere, endosphere, and phyllosphere of a wide variety of plant species (Rilling et al., 2019). PGPB can improve soil fertility and enhance plant nutrient uptake either by providing essential nutrients such as phosphorus (P) and nitrogen (N) and essential minerals, or by synthesizing phytohormones (Valetti et al., 2018). Therefore, the combined use of PGPB in the form of biofertilizers has been regarded as a promising method to reduce chemical fertilizer usage while sustaining soil fertility and increasing crop yield (Wong et al., 2014). This, in turn, can make agriculture more sustainable and productive.

Phosphate-solubilizing bacteria (PSB) and purple phototrophic bacteria (PPB) are two kinds of PGPB. Phosphorus is an essential nutrient for plant growth and agricultural production, but the majority of P is unavailable to plants (Wu et al., 2019). PSB such as Bacillus, Burkholderia, Azospirillum, Erwinia, Pseudomonas, Rhizobium, and Serratia can convert insoluble P into soluble forms that are absorbable by plants and thus enhance plant growth (Ramakrishna et al., 2019; Zhang et al., 2019). Therefore, PSB play a crucial role in the transformation and biogeochemical cycling of insoluble and soluble P in agroecosystems (Li F. et al., 2017; Yu et al., 2019). Inoculation with PSB as biofertilizers has been reported to increase P uptake (Rezakhani et al., 2019), improve leaf N and P contents (Wu et al., 2019), promote plant growth (Panhwar et al., 2014; Parastesh et al., 2019), and aid in increasing crop yield (Jaybhay et al., 2017). Thus, microbial intervention of high-efficiency PSB seems to be an effective way to solve the problem of P availability in soil and avert the negative effects of chemical P fertilizers.

The ability of PSB to mineralize organic P and solubilize inorganic and insoluble phosphates varies among different types of bacteria as well as with different chemical traits of the medium (Parastesh et al., 2019). In addition, when PSB is used as a biofertilizer in the field, crops respond differently due to the influence of soil temperature, moisture, pH, salinity, sources of insoluble P, sources of energy, inoculation methods, and the microorganism strains used (Sharma et al., 2013). Numerous bacterial strains have promising results at the laboratory scale and show promise as biofertilizers or inoculants (Rilling et al., 2019). However, consistent responses under agronomic conditions are lacking, owing to the different climatic and management conditions in the laboratory versus those in the field. Therefore, there is an urgent need to investigate the effects of selected high-efficiency PSB on plant growth and crop yield in field applications and their long-term effects.

PPB are a group of bacteria that can interact with plants to promote plant growth (Harada et al., 2005). They are widely distributed in natural environments such as oceans, lakes, sediments, and soils (Feng et al., 2011). PPB are a group of dinitrogen (N2)-fixing bacteria (Ludden and Roberts, 2002), which includes purple non-sulfur bacteria (PNSB) and purple sulfur bacteria (Feng et al., 2009). PNSB are a group of polyphosphate-accumulating organisms (Liang et al., 2010) that can excrete phytohormones to enhance plant growth (Kantha et al., 2015). Most species of PNSB, such as Rhodopseudomonas spp., are able to grow aerobically in the dark or anaerobically in the light, with many carbon sources and electron donors (Lee et al., 2008). Applications of PNSB in agriculture, particularly Rhodopseudomonas palustris, have been found to increase rice yields by 29% (Harada et al., 2005) and Stevia rebaudiana yields by 69.2% (Wu et al., 2013). Moreover, PNSB can produce bioactive compounds such as herbicides, antiviral substances, and antimicrobial compounds that inhibit plant pathogenic microbes (Kantha et al., 2015). As one of the oldest photosynthetic bacteria on earth, R. palustris has been reported to produce many chemicals, including riboflavin, iron carriers, 5-aminolevulinic acid, exopolysaccharides (EPS), and bacterial acyl-high serine lactone that trigger induced disease resistance in plants (Zhai et al., 2021). In view of these aspects, PNSB could also be used as a beneficial biofertilizer in agriculture.

Despite the multiple functional properties of PSB and PPB that enhance plant growth, they are yet to fulfill their potential as commercial bioinoculants. Although studies have shown that inoculation of PSB and PNSB can increase crop yields, it is unclear whether they can maintain a stable increase in yield during long-term application. In a previous study (Wu et al., 2013), we isolated a PNSB strain which can secrete EPS and promote plant growth and a PSB strain with a high capacity to dissolve insoluble phosphorus. We conducted a 5-year (2012–2016) field trial to observe the long-term impact of the PSB strain on peanut yield when used alone or in combination with the PNSB strain. The main objectives of this study were to investigate: (1) the yield-increasing effect of these strains in long-term fertilization when applied separately or in combination; (2) the influence of these inoculants on soil chemical properties after repeated application over 5 years; and (3) the influence of these inoculants on the bacterial community as well as the functional characteristics of bacterial communities that relate to P and N cycling in soil. The results of this study can help elucidate the effect of using bacterial inoculants as biofertilizers on yield increase, soil fertility, and the bacterial community in long-term agricultural production.

Materials and Methods

Preparation of Bacterial Inoculum Suspension

The PSB and PNSB under investigation were identified as Burkholderia cepacia strain ISOP5 (CCTCC M2020482) and Rhodopseudomonas palustris strain ISP-1 (Wu et al., 2013), respectively. The PSB were isolated from soil samples collected from peanut fields at the National Agro-Ecosystem Observation and Research Station in Yingtan (28°15′20″ N, 116°55′30″ E), Jiangxi Province, China. The strain B. cepacia ISOP5 was selected and purified for our field experiment on the basis of the appearance of a large clear halo on a plate of Tricalcium Phosphate medium [1 L distilled water with 10 g glucose, 0.5 g (NH4)2SO4, 0.3 g KCl, 0.1 g MgSO4⋅7H2O, 0.3 g NaCl, 0.03 g FeSO4⋅7H2O, 0.03 g MnSO4⋅4H2O, 10 g Ca3(PO4)2, and 20 g agar; pH 7.0–7.5] and Lecithin medium [constituents are the same as those of Tricalcium Phosphate medium, except for replacing the Ca3(PO4)2 with 5 g CaCO3 and 0.2 g lecithin]. The phosphorus-dissolving halo of B. cepacia ISOP5 is shown in Supplementary Figure 1. R. palustris ISP-1 was isolated from Xuanwu Lake, Nan Jing, Jiangsu Province, China. In our previous study, we found that this strain has the ability to promote plant growth; details were described in Wu et al. (2013).

To prepare the bacterial inoculums, we cultured B. cepacia ISOP5 in LB medium and incubated it at 28 ± 2°C for about 5 days (the stable growth phase) on a shaker with a rotation speed of 160 rpm. Meanwhile, R. palustris ISP-1 was cultured in 20 L chemical culture medium (Li et al., 2011) for about 20 days (for more EPS) at 30°C under a 60 W incandescent lamp placed at a distance of 25 mm. When the density of bacteria suspension reached about 1010 colony forming units (CFU) mL–1, the cells were harvested by centrifugation at 4000 × g for 20 min. Then the cells were washed twice with sterile deionized water and resuspended in sterile distilled water containing 0.8% (w/v) NaCl to achieve an optical density of 1.0 at 600 nm (OD600) corresponding to a bacterial density of about 109 CFU mL–1. The pellets of B. cepacia ISOP5 and R. palustris ISP-1 were diluted 10 times with water to obtain a final concentration of 108 CFU mL–1, and then the suspensions of B. cepacia ISOP5 and R. palustris ISP-1 were used for the field experiment.

Site Description and Experimental Design

The long-term fertilization experiment was established in 2012 at the National Agro-Ecosystem Observation and Research Station in Yingtan (28°15′20″ N, 116°55′30″ E), Jiangxi Province, China. The soil, which was derived from Quaternary red clay, contained 36.3% clay, 42.5% silt, 21.2% sand, 41.8 g/kg total iron, and 76.6 g/kg total aluminum (Jiang et al., 2018). Monthly rainfall (Supplementary Figure 2) and air temperature (Supplementary Figure 3) were collected from the local weather station.

Five treatments were set up for the study: (1) conventional chemical fertilization containing 172.5 kg N ha–1, 90 kg P2O5 ha–1, and 180 kg K2O ha–1; urea (N 46%), fused calcium-magnesium phosphate (P2O5 12%), and potassium chloride (K2O 60%) were applied as NPK fertilizers. (2) basic fertilizer (CK) containing 85.4 N ha–1, 70 kg P2O5 ha–1, and 115 kg K2O ha–1 plus 1500 kg/ha composted cow manure (approximately 15% organic matter); urea (N 46%), ammonium sulfate (N 20%), ammonium dihydrogen phosphate (N 11%, P2O5 43%), calcium superphosphate (P2O5 12%), fused calcium-magnesium phosphate (P2O5 12%), and potassium chloride (K2O 60%) were applied as chemical NPK sources. (3) basic fertilizer and then 300 L/ha suspensions of strain ISOP5. (4) basic fertilizer and then 300 L/ha suspensions of strain ISP-1. (5) basic fertilizer and then both 300 L/ha suspensions of strain ISOP5 and 300 L/ha suspensions of strain ISP-1 (MB). 70% of the NPK fertilizers and all of the composted cow manure were applied at sowing time; the remaining 30% NPK fertilizers were applied 45 days after sowing. Bacterial inoculums were applied twice, with half of the volume applied at the sowing time and the other half applied at the pegging stage (in the middle of June). At sowing time, NPK fertilizers were sprinkled on soil surface. The soil was then plowed, and 13 or 14 ditches (about 5 cm deep) were dug in each plot. The bottom of these ditches was covered with composted cow manure, and bacteria inoculums were sprayed on manure, covered with 1cm of soil. Peanut seeds (Arachis hypogaea L. var. Ganhua 5, 1.2 kg/plot) were sowed by hand, and all ditches were filled with soil (Supplementary Figure 4). The remaining 30% NPK fertilizers were sprinkled on the soil around the peanut plants, and the additional bacterial inoculums were added on the soil of the peanut root zone. Each treatment contained four replicates (plots), and each plot was 66 m2 (10 m × 6.6 m). Plots were randomly arranged with a 20 cm trench between them. The site has been in peanut–radish crop rotation since 2000, and 100 kg/ha urea was applied to each plot at radish season.

Collection of Yield Data and Sampling of Soil

Peanuts were harvested at physiological maturity in the 3rd week of August every year. The plants in the entire plot area were harvested to obtain yield. Seed samples were sun-dried, and peanut yields are reported at 15% moisture content. Five plants were randomly selected and sun-dried for 3–4 days to determine the biomass.

In August 2016, before harvesting, the soil samples near the root zone (approximately 5 cm away from the plant stem) from depths of 0–20 cm were collected using a core sampler (20 mm inner diameter). The soil from six randomly chosen points in each plot was mixed thoroughly to obtain a representative sample. The collected soil samples were sieved through a 2-mm mesh to remove large particles such as roots and stones. Then the soil samples were divided into two parts: one part was stored at −40°C until analysis, while the other was air dried at 22–30°C, sieved (< 2 mm), powdered in an agate mortar, and passed through a 0.1-mm sieve before being thoroughly mixed for further analysis.

Analyses of Soil Physicochemical Properties

Soil pH was measured using a glass combination electrode (REX, shanghai, China) with a 1:1 ratio of soil to distilled water (Li et al., 2013). Soil cation exchange capacity (CEC) was measured using the ammonium acetate method as described by Pansu and Gautheyrou (2006). The dissolved total N (DTN) in the soil was extracted with 2M KCl and determined using a continuous flow analytical system (San + + System, Skalar, Holland). The OM and total nitrogen (TN) contents were determined according to the method outlined by Strickland and Sollins (1987). Available P (AP), available K (AK), total phosphorus (TP), and total potassium (TK) were measured using the methods described by Ding et al. (2017). Soil moisture content (MC) was determined by drying 5 g of each soil sample at 105°C until the sample reached a consistent weight.

DNA Extraction and Amplicon Sequencing

Total community DNA was extracted from 3 soil samples collected from the treatments of B. cepacia ISOP5, R. palustris ISP-1, MB, and CK. For each sample, DNA was extracted from 0.5 g of soil using the FastDNA® SPIN Kit for soil (MP Biomedicals, Santa Ana, CA, United States) according to the manufacturer’s protocol. The extracted DNA was quantified by a ND-1000 spectrophotometer (Thermo-Scientific, Wilmington, DE, United States) and stored at −20°C until further use. The bacterial 16S rRNA gene (380 bp) was paired-end sequenced (PE250) on an Illumina HiSeq platform (Novogene, Beijing, China) according to the standard protocols with the primer sets 515F and 806R (Peiffer et al., 2013). Subsequently, the sequences were deposited in the NCBI SRA database (accession no. PRJNA627297).

Statistical Analyses

The effects of fertilization treatments on soil properties and the diversity and abundance of soil bacterial communities were assessed by one-way analysis of variance (ANOVA) with the least significance difference (LSD) post hoc test at p < 0.05, using SPSS 20.0 software (IBM, Armonk, NY, United States).

Bacterial α- and β-diversities were also analyzed. For α-diversity, the following indices were calculated using QIIME (V1.7.0) (Caporaso et al., 2010): observed species, Chao1, Shannon, Simpson, ACE, and Coverage. β-diversity patterns were assessed with non-metric multidimensional scaling (NMDS) plots using the Bray–Curtis dissimilarity matrix. Significant difference tests in the bacterial communities between different treatments were conducted using ANOSIM and non-parametric permutational multivariate analysis of variance (PERMANOVA, with the ‘adonis’ function) based on Bray-Curtis dissimilarities and 999 permutations. The β-diversity statistical analysis was processed by R version 3.6.3 using the package vegan and then plotted by Origin 2018. Heatmaps were performed and drawn with the R package pheatmap.

Software PICRUSt 1.1.4 (Langille et al., 2013) was used to predict metagenomic functional content from marker gene surveys and full genomes (Langille et al., 2013). Functional annotation was conducted by aligning sequencing reads against the Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology (KO). Briefly, the operational taxonomic units (OTUs) of 16S rRNA sequences were normalized in PICRUSt, and the KO profiles were calculated using the PICRUSt algorithm. Genes involved in soil microbial P-transformation in different treatments were searched for in the datasets based on previous publications (Dai et al., 2019). Genes related to nitrogen cycling (Supplementary Table 1) referenced to Sun and Badgley (2019) were searched for in the KEGG database. The “plspm” package in the R software (Sanchez, 2013) was used to explore the complex relationship amongst peanut yield values, soil properties, bacterial community diversity, bacterial composition, and bacterial function. GoF was used as an index of the average prediction for the entire model. The naive rule of GoF values is that the higher the value, the better. GoF values greater than 0.7 are considered “very good” within the partial least squares path modeling (PLS-PM) community. Figures were plotted using Origin 2018.

Results

Peanut Yield Over Five Consecutive Years

Data pertaining to the yield, shown in Table 1, revealed that MB had the highest yield over CK for four consecutive years, while conventional chemical fertilization had the lowest yield among the five treatments except for the year 2013. B. cepacia ISOP5, R. palustris ISP-1, and MB treatments recorded 13.9%, 6.5%, and 20.3% increases in peanut yield over CK in the fifth year, while the five-year average yield increased by 8.1%, 12.5%, and 19.5% over CK, respectively. Compared with conventional fertilizer treatment, B. cepacia ISOP5, R. palustris ISP-1, and MB treatments saw a five-year average yield increase rate of 11.1%, 15.7%, and 23%, respectively. Growth data in the fifth year, shown in Supplementary Table 2, indicate that growth parameters, such as plant height, significantly increased when B. cepacia ISOP5 and R. palustris ISP-1 inoculums were applied alone or in combination (MB). Furthermore, dual inoculation with B. cepacia ISOP5 and R. palustris ISP-1 continued to increase peanut yields by 8.86% to 40.46% throughout the five consecutive years (Table 1). There was no significant correlation between the peanut yield of each treatment and the rainfall (R2 = −0.2 ∼ 0.08, P > 0.05), maximum temperature (R2 = 0.308 ∼ 0.462, P > 0.05), or minimum temperature (R2 = −0.7 or −0.9, P > 0.05) during the peanut growing period (March to August each year), implying that rainfall and air temperature were not the main factors causing changes in yields over the years of 2012 ∼ 2016.

TABLE 1.

Peanut yield for five consecutive years and yield increase rates with bacterial inoculum treatments compared with CK treatment.

Conventional
 CK
 B. cepacia ISOP5
 R. palustris ISP-1
 MB
Yield (t/ha) Yield (t/ha) Yield (t/ha) Changes relative to CK (%) Yield (t/ha) Changes relative to CK (%) Yield (t/ha) Changes relative to CK (%)
2012 5.38 ± 0.74b 5.93 ± 0.72ab 5.65 ± 0.54ab –4.6 6.73 ± 0.64a 13.5 6.45 ± 0.4ab 8.9
2013 4.7 ± 0.11ab 3.65 ± 0.89b 4.64 ± 0.88ab 27.2 4.9 ± 0.8ab 34.4 5.12 ± 0.27a 40.5
2014 3.13 ± 0.17c 3.42 ± 0.11bc 3.64 ± 0.37ab 6.4 3.45 ± 0.26bc 0.8 4.06 ± 0.19a 18.5
2015 2.73 ± 0.17b 2.79 ± 0.21b 2.8 ± 0.17b 0.3 3.01 ± 0.3ab 7.8 3.19 ± 0.14a 14.3
2016 4.84 ± 0.19d 5.58 ± 0.21c 6.36 ± 0.28ab 13.9 5.95 ± 0.39bc 6.5 6.71 ± 0.23a 20.3
Average in 5 years 4.15 ± 0.24b 4.27 ± 0.29b 4.62 ± 0.31ab 8.1 4.81 ± 0.35ab 12.5 5.11 ± 0.02a 19.5
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Different lowercase letters after the data represent the significant difference among the 5 treatments at p < 0.05. Conventional: conventional chemical fertilization; CK: fertilized with basic fertilizer containing NPK fertilizers and composted cow manure; B. cepacia ISOP5: fertilized with basic fertilizer and then applied with suspension of strain B. cepacia ISOP5; R. palustris ISP-1: fertilized with basic fertilizer and then applied with suspension of strain R. palustris ISP-1; MB, fertilized with basic fertilizer and then applied with suspensions of B. cepacia ISOP5 and R. palustris ISP-1.

Changes in Nutrient Contents of Peanut and Soil Physicochemical Properties

The contents of N, P, K, and protein in peanut seeds, as well as soil physicochemical properties in the fifth year of harvest, are shown in Table 2. Inoculation of B. cepacia ISOP5 and R. palustris ISP-1 significantly promoted the absorption of N and increased the protein content of peanut seeds. Regarding soil physicochemical properties, the effects of B. cepacia ISOP5 and R. palustris ISP-1 were not significant, with only minor improvements seen in some nutrients compared with CK treatment, including improved DTN (12%), TN (10%), AP (33%), AK (12%), and OM (17%) in B. cepacia ISOP5 treatment; improved AP (25%) and AK (10%) in R. palustris ISP-1 treatment; and improved AP (13%) and AK (14%) in MB treatment. Although the input of chemical nutrients in conventional fertilizer was much higher than that in the CK and bacterial inoculum treatments, the residual nutrients in the soil were similar for conventional and CK treatments. Concentrations of AP, AK, and TP were lower when using conventional fertilizers than using CK after 5 years of fertilization and crop cultivation (Table 2).

TABLE 2.

Nutrient contents in peanut seeds and soil physicochemical properties in the 5th year of harvest.

Conventional CK B. cepacia ISOP5 R. palustris ISP-1 MB
Peanut seed nutrient contents Protein% 23.85 ± 0.28ab 23.23 ± 0.86b 26.25 ± 2.76a 26.62 ± 1.78a 26.55 ± 1.41a
N% 4.37 ± 0.05ab 4.26 ± 0.16b 4.81 ± 0.51a 4.88 ± 0.33a 4.86 ± 0.26a
P% 0.42 ± 0.03a 0.41 ± 0.02a 0.42 ± 0.05a 0.41 ± 0.04a 0.42 ± 0.04a
K% 0.7 ± 0.05a 0.79 ± 0.04a 0.76 ± 0.09a 0.76 ± 0.06a 0.76 ± 0.05a
Soil chemical properties pH 4.92 ± 0.18a 4.67 ± 0.12b 4.84 ± 0.08ab 4.86 ± 0.11ab 4.81 ± 0.16ab
EC(um/cm)a 45.7 ± 2.36c 62.23 ± 1.27ab 59.3 ± 8.73ab 57.39 ± 5.78b 67.9 ± 8.22a
AP/(mg/kg) 23.13 ± 8.08a 30.97 ± 12.43a 41.06 ± 17.04a 38.71 ± 19.07a 34.99 ± 16.91a
AK/(mg/kg) 188 ± 47.53b 207.24 ± 22.4ab 233 ± 28.89ab 228.94 ± 21.14ab 236.85 ± 10.81a
DTN (mg/kg) 64.54 ± 3.07a 61.85 ± 8.33a 69.06 ± 5.95a 62.37 ± 10.47a 63.66 ± 2.06a
OM (g/kg) 18.21 ± 0.5a 14.92 ± 1.13ab 17.38 ± 2.79a 15.87 ± 1.77ab 15.48 ± 2.29ab
TN (mg/kg) 751.53 ± 18.61a 745.2 ± 38.48a 818.19 ± 31.36a 778.49 ± 73.58a 770.22 ± 38.32a
TP (mg/kg) 483.02 ± 24.98a 487.88 ± 80.04a 495.73 ± 9.44a 489.41 ± 45.32a 506.69 ± 9.6a
TK (%) 1.34 ± 0.03a 1.32 ± 0.09a 1.33 ± 0.06a 1.37 ± 0.07a 1.31 ± 0.09a
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aElectronic conductivity. Different lowercase letters represent the significant difference among the 5 treatments at p < 0.05. Conventional: conventional chemical fertilization; CK: fertilized with basic fertilizer containing NPK fertilizers and composted cow manure; B. cepacia ISOP5: fertilized with basic fertilizer and then applied with suspension of strain B. cepacia ISOP5; R. palustris ISP-1: fertilized with basic fertilizer and then applied with suspension of strain R. palustris ISP-1; MB, fertilized with basic fertilizer and then applied with suspensions of B. cepacia ISOP5 and R. palustris ISP-1.

Effects of Bacterial Inoculums on Soil Bacterial Communities

Soils under B. cepacia ISOP5, R. palustris ISP-1, MB, and CK treatments were selected, and amplification products of soil bacterial 16S rRNA gene were sequenced in order to determine the effects of the bacterial inoculums on soil bacterial communities. Based on the reading of 16S rRNA gene sequences, a total of 902,009 high quality sequences were obtained and clustered into 4,964 OTUs (97% identity). The bacterial alpha diversity indexes in the treated soils are shown in Table 3. These results showed that inoculation with B. cepacia ISOP5 or R. palustris ISP-1 for five years did not significantly change the bacterial diversity or richness in the soil, except that the observed species were significantly increased by B. cepacia ISOP5 inoculation (Table 3).

TABLE 3.

Estimators of bacterial diversity, richness, and coverage in soil under different treatments.

Treatments Observed species Diversity1
 Richness2
 Coverage3
Shannon Simpson Chao1 ACE
CK 2515 ± 41.39b 9.18 ± 0.04a 0.996 ± 0a 2875.01 ± 237.45a 2960.92 ± 136.48a 0.989 ± 0.002a
B. cepacia ISOP5 2626 ± 47.15a 9.24 ± 0.06a 0.996 ± 0a 3006.7 ± 119.92a 3100.82 ± 42.66a 0.988 ± 0.002a
R. palustris ISP-1 2592 ± 43.39ab 9.26 ± 0.04a 0.996 ± 0a 2956.43 ± 197.5a 3033.81 ± 106.6a 0.988 ± 0.001a
MB 2599 ± 74.93ab 9.32 ± 0.15a 0.996 ± 0a 2882.55 ± 106.81a 2969.76 ± 107.52a 0.989 ± 0.002a
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Data are means ± standard deviation. Values followed by different letters are significantly different (p < 0.05) according to the Fisher LSD test. 1Based on the Shannon and Simpson diversity indices. A higher Shannon or lower Simpson index indicated higher bacterial community diversity. 2Based on the Chao1 and abundance-based coverage estimator (ACE) richness indices. 3Coverage: Good’s non-parametric coverage estimator. The higher the value, the lower the probability that the sequence was not measured in the sample. CK: fertilized with basic fertilizer containing NPK fertilizers and composted cow manure; B. cepacia ISOP5: fertilized with basic fertilizer and then applied with suspension of strain B. cepacia ISOP5; R. palustris ISP-1: fertilized with basic fertilizer and then applied with suspension of strain R. palustris ISP-1; MB, fertilized with basic fertilizer and then applied with suspensions of B. cepacia ISOP5 and R. palustris ISP-1.

NMDS based on Bray–Curtis distances was applied to analyze the overall structural variations of bacterial communities in different soils (Figure 1). NMDS ordination and ANOSIM analysis showed that there were no significant differences (p > 0.05) among treatments (Figure 1), and PERMANOVA analysis confirmed this result (R2 ranged from 0.16 to 0.28, and p-values ranged from 0.2 to 0.6). The relative abundances of different phyla/classes under different fertilizer treatments are shown in Figure 2. The soil bacteria communities were dominated by Chloroflexi, Proteobacteria, Actinobacteria, and Acidobacteria. In the corresponding communities, 25.7%, 21.3%, 21.2%, and 11.9% of the sequences were assigned to these four phyla, respectively. An independent-sample t-test identified Acidobacteria, Verrucomicrobia, and Bacteroidetes as significantly more abundant in soil treated by B. cepacia ISOP5 than that treated by CK, while only Verrucomicrobia had increased in R. palustris ISP-1 and MB groups (Supplementary Figure 5). Independent-sample t-test was also used to compare the differences at the genus level. We found that only Chloroflexi_TK10 was significantly (p < 0.05) decreased by B. cepacia ISOP5 treatment, whereas Verrucomicrobia_OPB35 had significantly (p < 0.05) increased in all of the soils inoculated with bacterial inoculums. These patterns suggest that inoculation with B. cepacia ISOP5 and/or R. palustris ISP-1 provided selective advantages for Verrucomicrobia_OPB35.

FIGURE 1.

FIGURE 1

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Non-metric multidimensional scaling (NMDS) plots of bacterial community composition in soils with and without bacteria inoculums. ANOSIM showed non-significant differences (p > 0.05) between treatments (R = degree of separation between test groups ranging from -1 to 1; R = 0, not different; R = 1, completely different; p-values were based on 9999 permutations). CK: fertilized with basic fertilizer containing NPK fertilizers and composted cow manure; B. cepacia ISOP5: fertilized with basic fertilizer and then applied with suspension of strain B. cepacia ISOP5; R. palustris ISP-1: fertilized with basic fertilizer and then applied with suspension of strain R. palustris ISP-1; MB: fertilized with basic fertilizer and then applied with suspensions of B. cepacia ISOP5 and R. palustris ISP-1.

FIGURE 2.

FIGURE 2

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Relative abundance in the dominant bacterial phyla (proteobacterial classes) (A) and dominant genus (B) in the unique OTUs of each treatment. CK: fertilized with basic fertilizer containing NPK fertilizers and composted cow manure; B. cepacia ISOP5: fertilized with basic fertilizer and then applied with suspension of strain B. cepacia ISOP5; R. palustris ISP-1: fertilized with basic fertilizer and then applied with suspension of strain R. palustris ISP-1; MB: fertilized with basic fertilizer and then applied with suspensions of B. cepacia ISOP5 and R. palustris ISP-1.

Effects of Inoculums on Soil Microbial Functions With Regard to P Transformation

Five years of inoculation with B. cepacia ISOP5 and/or R. palustris ISP-1 had no effect on the relative abundance of the genes involved in microbial P starvation response regulation (Figure 3). Nevertheless, the treatments decreased the total relative abundance of the genes involved in P uptake and transport by 2.62–3.24%, and increased the genes involved in inorganic P solubilization (IPS) and organic P mineralization (OPM) by 2.24–2.71% (p < 0.05) (Figure 3).

FIGURE 3.

FIGURE 3

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Relative abundance in representative genes responsible for microbial (1) P starvation response regulation, (2) P uptake and transport, and (3) inorganic P solubilization and organic P mineralization in soils treated with or without bacterial inoculums. The relative abundances of genes were calculated based on the annotated reads. Group 1: Genes coding for P starvation response regulation; Group 2: Genes coding for P uptake and transport; Group 3: Genes coding for inorganic P solubilization and organic P mineralization. Different lowercase letters and asterisks represent the significant effects of bacteria inoculums on the relative abundance of genes involved in P transformation at p < 0.05. Error bars are ± standard error. CK: fertilized with basic fertilizer containing NPK fertilizers and composted cow manure; B. cepacia ISOP5: fertilized with basic fertilizer and then applied with suspension of strain B. cepacia ISOP5; R. palustris ISP-1: fertilized with basic fertilizer and then applied with suspension of strain R. palustris ISP-1; MB: fertilized with basic fertilizer and then applied with suspensions of B. cepacia ISOP5 and R. palustris ISP-1.

With regard to individual genes coding for P transport and uptake, B. cepacia ISOP5 and/or R. palustris ISP-1 inoculation decreased the relative abundance of the high-affinity phosphate-specific transporter (pstACB) (p < 0.05), whereas none of the bacterial inoculum treatments affected the relative abundance of the low-affinity inorganic phosphate transporter (pit) (p > 0.05) (Figure 3). As for individual genes coding for P solubilization and mineralization, B. cepacia ISOP5 increased the relative abundance of genes coding for acid phosphatase (phoN), phosphonoacetate hydrolase (phnA), and the C-P lyase subunit (phnFGHIJKLMNOP) (p < 0.05) but decreased the genes coding for alkaline phosphatase (phoA) (p < 0.05) (Figure 3). The soil treated with R. palustris ISP-1 and MB showed similar trends, but the changes were not significant.

Effects of Inoculums on the N Metabolic Functions of Soil Microbes

The total relative abundance of the genes associated with nitrogen metabolism was significantly increased by bacterial inoculums. Consistent with taxonomic findings, there was no significant change in most of the functional genes involved in N cycling, except for genes involved in nitrogen regulation, nitrite reductase subunits, and nitronate monooxygenase (p < 0.05) (Figure 4). Nitrite reductase, a key enzyme in the natural N cycle, can degrade nitrite into NO or NH3. Its increase thus implies higher denitrifying activity in the treated soils. Furthermore, genes coding for N fixation proteins were not significantly affected by bacterial inoculums (Figure 4). However, soils inoculated with B. cepacia ISOP5 had improved DTN (12%) and TN (10%) compared with soils treated by CK (Table 2).

FIGURE 4.

FIGURE 4

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Major functional genes involved in the N cycle and total relative abundance of genes involved in N metabolism in soils treated with or without bacterial inoculums (relative abundance > 0.001%). Different lowercase letters and asterisks represent the significant effects of bacteria inoculums on the relative abundance of genes involved in the N cycle at p < 0.05. Error bars are ± standard error. CK: fertilized with basic fertilizer containing NPK fertilizers and composted cow manure; B. cepacia ISOP5: fertilized with basic fertilizer and then applied with suspension of strain B. cepacia ISOP5; R. palustris ISP-1: fertilized with basic fertilizer and then applied with suspension of strain R. palustris ISP-1; MB: fertilized with basic fertilizer and then applied with suspensions of B. cepacia ISOP5 and R. palustris ISP-1.

Discussion

Peanut Yield Increased With Lower Chemical Fertilizer Input; Combined Application of B. cepacia ISOP5 and R. palustris ISP-1 Is More Effective Than Separate Application for Increasing Yield

The use of PSB to obtain higher yields has been reported as a promising approach for various crops (Valetti et al., 2018). PSB is capable of solubilizing (e.g., by producing organic acids and reducing soil pH) and mineralizing complex P compounds (e.g., through the production of phosphatase), thus making inorganic and organic P sources in soil into a state that can be absorbed by plants (Sharma et al., 2013; Rezakhani et al., 2019). PNSB are a group of dinitrogen (N2)-fixing (Ludden and Roberts, 2002) and polyphosphate-accumulating organisms (Liang et al., 2010). The yield-increasing effect of PSB and PNSB has been previously reported by Jaybhay et al. (2017) and Wu et al. (2013). Nevertheless, here, we report for the first time the yield-increasing effect on a long-term basis from inoculation with PSB B. cepacia ISOP5 and PNSB R. palustris ISP-1. Compared with conventional fertilizer treatment, B. cepacia ISOP5, R. palustris ISP-1, and MB increased the five-year average yield by 11.1%, 15.7%, and 23%, respectively (Table 1), while reducing 87.1 kg N ha–1, 20 kg P2O5 ha–1, and 65 kg K2O ha–1 of chemical fertilizer input. Furthermore, the residual chemical nutrients in the soil of the conventional fertilizer treated plots were similar to those treated with CK (Table 2) after 5 years of fertilization and crop cultivation. This result indicated that the loss of fertilizer nutrients in soil under conventional fertilizer treatment was more serious, and the addition of composted cow manure may increase the ability of soil to fix chemical nutrients. Higher yields in the bacterial inoculum amended plots might be due mostly to the positive effects of the bacterial inoculums on peanut N uptake through improved N fertilizer use efficiency in soils. The composted cow manure might also play an important role, as the five-year average yield recorded a 3% increase in CK treatment compared with conventional fertilizer treatment (Table 1). This result was consistent with those of previous studies which reported that chemical fertilizer reduction and organic fertilizer addition can improve soil quality, increase SOM, maintain soil productivity, and increase vegetable or grain yields (Wang et al., 2020; Han et al., 2021).

In addition, we found that the combination of B. cepacia ISOP5 and R. palustris ISP-1 treatment is more effective in enhancing peanut yield than separate application (Table 1). The dual inoculation of B. cepacia ISOP5 and R. palustris ISP-1 significantly increased the dry weight of peanut plants (Supplementary Table 2). Peanut plant height and yield increase can be attributed to nutrient (such as N, AP, and AK) availability due to B. cepacia ISOP5 and R. palustris ISP-1 inoculation (Table 2), which causes the soil to become biologically and physico-chemically rich, thereby promoting plant growth. In addition, the increase may also be due to the fact that PSB may produce various organic compounds in the plant rhizosphere such as IAA, cytokinin, and gibberellin (Rafique et al., 2017).

Inoculation of ISOP5 and/or ISP-1 Promoted the Growth of Peanut Plant and Increased Nitrogen and Protein Concentrations in Peanut Seeds

Inoculation with PSB or PNSB can promote plant growth and result in higher crop yields (Wu et al., 2013; Valetti et al., 2018). Burkholderia cepacia JFW16, which belongs to the genus Burkholderia and the β-proteobacteria class, has the capacity to promote growth and enhance photosynthesis in inoculated plants (Zhou et al., 2018). Moreover, in a previous study, B. tropica-inoculated plants showed a consistent increase in both the number and weight of tomato fruits when compared to uninoculated controls (Bernabeu et al., 2015). The bacterium R. palustris also promotes plant growth (Wong et al., 2014; Xu et al., 2018). Inoculating maize plants with PSB Lysinibacillus fusiformis strain 31MZR can enhance N and P uptake (Rafique et al., 2017). In this study, after five years of repeated inoculation, both B. cepacia ISOP5 and R. palustris ISP-1 significantly promoted the growth of peanut plants (Supplementary Table 2) and increased the nitrogen and protein content in peanut seeds (Table 2). This was consistent with the previous results and further indicated that B. cepacia ISOP5 and R. palustris ISP-1 could promote nitrogen absorption in peanut plants. Soil inoculated with B. cepacia ISOP5 had improved DTN (12%) and TN (10%) compared with CK-treated soil, while DTN only improved 1% and 3% and TN only improved 4% and 3%, respectively, in soil treated with R. palustris ISP-1 and MB. On the other hand, the N content in peanut seeds (Table 2) and the growth parameters such as the dry weight of plants (Supplementary Table 2) were higher with R. palustris ISP-1 and MB treatments than B. cepacia ISOP5 treatment. Therefore, we speculate that the plants in R. palustris ISP-1 and MB treatments may have stronger ability to absorb N than plants in B. cepacia ISOP5 treatment, resulting in less residual DTN and TN in soil at harvest time.

Few Bacterial Groups Were Increased by Bacterial Inoculums

In this study, after inoculation with B. cepacia ISOP5 and R. palustris ISP-1 for five years, bacterial diversity and richness in the soil were not significantly affected. Similarly, Xu et al. (2018) reported that soil bacterial diversity was not significantly influenced by R. palustris inoculation with or without chemical fertilization. However, Xu et al. (2016) also reported that R. palustris inoculated via foliar spray increased the abundance of the phyla Acidobacteria and Actinobacteria, which is different from the results of this study. This may be due to differences in soil types, application modes, and crops used. In addition, agricultural soil contains highly diverse indigenous microorganisms, which can hinder the colonization of soil by exogenous bacteria inoculants. Furthermore, the composition, abundance, and activity of bacterial populations are regulated by a variety of biotic and abiotic factors such as climate, seed properties, plant characteristics, soil management, soil properties, as well as the presence of grazers and other members of microbial communities (Rilling et al., 2019). These factors may have differently affected the inoculum bacteria in different studies.

Three phyla (Acidobacteria, Verrucomicrobia, and Bacteroidetes) were significantly increased with B. cepacia ISOP5 application, while in R. palustris ISP-1 and MB treated soils, only the phylum Verrucomicrobia was significantly increased (Supplementary Figure 5). The community structure and abundance of Verrucomicrobia are extremely sensitive to changes of chemical factors linked to soil fertility (Navarrete et al., 2015). Previous studies have shown that Verrucomicrobia members are degraders of recalcitrant organic matter (Li Y. et al., 2017), which may play an important role in effectively degrading organic matter and increasing the level of OM content in soils inoculated with bacterial inoculums (Table 2).

The use of bacterial inoculants, either alone or in combination with other products, would reduce the amount of chemical fertilizer required or allow plants to use the phosphate already present in the soil (Lobo et al., 2019). Notably, short-term fertilization with bacterial inoculants has been found to influence soil microbial community composition (Xu et al., 2016), but significant changes in soil microbial community structure and diversity in the long term were not observed in this study (Table 3). This indicates a different response of the bacterial community in relation to short- and long-term additions of bacterial inoculums. The relative abundance of Burkholderia and Rhodopseudomonas were not significantly different among our treatments (Supplementary Figure 6). One possible explanation for this is that soil samples were collected at harvest time, months after inoculation, which was a lengthy period for B. cepacia ISOP5 and R. palustris ISP-1 to maintain large concentrations and high levels of activity. Therefore, further investigation based on time-dependent series would be helpful in understanding the influence of B. cepacia ISOP5 and R. palustris ISP-1 inoculation on soil microorganisms.

Bacteria Inoculums Upregulated Genes Involved in IPS, OPM, and N Metabolism of Soil Microbes

Seed inoculation with PSB is an effective technique to alleviate the shortage of phosphorus (Lobo et al., 2019). Inoculation with B. cepacia ISOP5 and R. palustris ISP-1 over five years increased the microbial genes involved in IPS and OPM, but reduced the genes involved in P uptake and transport (Figure 3). Genes involved in IPS and OPM enable microorganisms to release organic anions to solubilize inorganic P or release enzymes to mineralize organic P. Genes coding for P uptake and transport systems enable microorganisms to efficiently utilize P and immobilize P in their biomass and may cause them to compete for the available P with plants in agro-ecosystems (Richardson and Simpson, 2011). The concentration of AP in bacteria inoculum treated soil increased by 12.98–32.58% when compared to that in CK-treated soil (Table 2). Genes involved in IPS and OPM may have played an important role in this phenomenon.

As one of the genes involved in microbial IPS, the gcd gene regulates the solubilization of unavailable mineral P, including Ca phosphates, hydroxyapatite, and some rock phosphates. The mineralization of soil organic P is mainly attributed to the genes coding for phosphatases, such as phoA and phoD genes (Kageyama et al., 2011; Dai et al., 2019). Our study revealed that inoculation with PSB B. cepacia ISOP5 did not increase the abundance of the gcd gene when compared to CK (Figure 3). However, significant interactive effects of B. cepacia ISOP5 were observed in the relative abundances of some specific genes coding for acid phosphatase (phoN), phosphonoacetate hydrolase (phnA), and C-P lyase subunits (Figure 3). At the same time, the concentration of AP in B. cepacia ISOP5-treated soil increased by 32.58% when compared to that in CK-treated soil (Table 2). These results indicate that the increase in soil phosphorus content may mainly be due to the increase in the soil OPM, rather than microbial IPS. The soil treated with R. palustris ISP-1 and MB showed similar trends.

Abundance changes in N cycling organisms indicate shifts in the overall N cycling process as well as shifts within functional groups (Sun and Badgley, 2019). In this study, inoculation with B. cepacia ISOP5 and R. palustris ISP-1 over five years significantly increased the total relative abundance of genes involved in N metabolism (Figure 4), indicating that N metabolism in soil inoculated with B. cepacia ISOP5 and/or R. palustris ISP-1 was more active. This, in turn, implies that B. cepacia ISOP5 and R. palustris ISP-1 may actively coordinate the soil microbial community to regulate soil nutrients so as to achieve the best plant growth. PNSB can utilize various substrates such as organic matter, nitrate, ammonia, and sulfide to metabolize under light or oxygenated conditions, because it has a variety of energy and substance metabolism pathways (Lu et al., 2011). A previous study reported that PNSB can remove nitrate from nitrogen-contaminated lakes or aquarium water and has great potential for treating a variety of nitrogen-contaminated wastewater (Yang et al., 2019). Furthermore, PNSB inoculation did not affect phototrophic and heterotrophic nitrogenase activities (acetylene-reducing activity) in the soil (Harada et al., 2005). These previous studies indicate that PNSB has the ability to regulate soil nitrogen metabolism.

Genes coding for N fixation proteins were not significantly affected by our bacterial inoculums (Figure 4). However, soil inoculated with B. cepacia ISOP5 had improved DTN (12%) and TN (10%) compared with CK-treated soil, while in the soil treated with R. palustris ISP-1 and MB, DTN improved by 1% and 3%, and TN improved by 4% and 3%, respectively (Table 2). Therefore, we assumed that the beneficial effects of B. cepacia ISOP5 and/or R. palustris ISP-1 inoculation on soil nitrogen content may not be due to biological N2 fixation. Instead, improved soil fertility and increased ability of soil to retain nitrogen in bacterial inoculum amended plots might be the reasons. Other unidentified function changes, such as the significantly increased relative abundance of genes coding for nitronate monooxygenase and nitrogen regulation proteins or components (Figure 4), may also play an important role in the increase of soil N content and yield of peanuts. In order to further illuminate the role of B. cepacia ISOP5 and R. palustris ISP-1 in promoting plant growth and increasing crop yield, future studies should examine the dynamic changes in soil nutrients and microbial communities after bacterial inoculum application.

Direct Effects of Bacteria Inoculums Contributed the Most to Improved Peanut Yield

PLS-PM analysis was employed to describe the specific causality among bacterial inoculums, bacterial communities, soil properties, and peanut yield (Figure 5). The results indicate that the direct effects (path coefficient = 0.629) of bacterial inoculums on peanut yield variation were greater than those of soil properties and bacterial communities, although all of their contributions were not significant (Figure 5B). Ramakrishna et al. (2019) reported that PGPB usually promotes plant growth through two mechanisms: 1) direct facilitation of resource acquisition and modulation of plant hormone levels, or 2) indirect inhibition of the various pathogens that hamper the growth and development of plants. Furthermore, PGPB have been found to produce indole acetic acid (IAA), siderophores, or biofilms, making phosphorus available to plants by phosphate solubilization (Ramakrishna et al., 2020). R. palustris ISP-1 can secrete EPS, which is an essential component of bacterial biofilm and can exert various biological functions such as adhesion to host surface, colonization, stress resistance, and modulation of host immunity against bacterial invasion (Zhai et al., 2021). Therefore, we speculate that the biomass of B. cepacia ISOP5 and R. palustris ISP-1 inoculums, or their metabolites, may be the main reason for the increase in peanut yield. The following factors likely play indirect roles in promoting peanut growth and improving peanut yield: the minor effects of the bacterial inoculums on soil bacterial diversity (Table 3), the increase in the bacteria phyla, Acidobacteria, Verrucomicrobia, and Bacteroidetes (Supplementary Figure 5), and the significant effects of the bacterial inoculums on genes involved in soil microbial P and N metabolism (Figures 3, 4). This is a conjecture based only on the analysis of the physical and chemical properties of the soil and the bacterial communities in the soil samples, which were collected along with the peanut harvest. PGPB can alter the structure of a resident microbial community, but these alterations depend on PGPB’s interactions with the resident microbial community and have temporary, spatially limited, and transient effects (Qiao et al., 2017; Ramakrishna et al., 2019). Therefore, if we can dynamically monitor the survival of bacterial inoculums in soil as well as soil nutrient change after inoculation, we can explain to a greater extent the reason why B. cepacia ISOP5 and R. palustris ISP-1 promote peanut yield.

FIGURE 5.

FIGURE 5

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(A) Direct and indirect effects of treatments, soil properties (pH, AP, OM, DTN, and TN), bacteria diversity, bacteria composition, and bacteria functions (abundance of genes involved in P and N metabolism) on peanut yield were shown using PLS-PM. Path coefficients (i.e., direct effects) are written on arrows, and significant coefficients are shown in bold (p < 0.05). Arrows with positive and negative coefficients are shown in red and blue, respectively. R2 values represent the variance of dependent variables explained by the inner model. GOF denotes the goodness of fit index. (B) Standardized total effects (i.e., direct plus indirect effects) were calculated using PLS-PM.

Conclusion

This study showed that the direct application of B. cepacia ISOP5 and R. palustris ISP-1 increased peanut yield, resulted in good crop growth, promoted crop absorption of N, and increased protein content in peanut seeds compared to chemical fertilizer without bacterial addition. Three reasons may explain the increase in peanut yield. First, B. cepacia ISOP5 and R. palustris ISP-1 bacterial inoculums enriched the soil with more available P and N. Second, inoculation of B. cepacia ISOP5 and R. palustris ISP-1 significantly increased the amount of Verrucomicrobia_OPB35, which are degraders of recalcitrant organic matter in soil. Third, these bacterial inoculums affected the soil microbial functions involved in P transformation and N metabolism by decreasing total relative abundance of the genes involved in P uptake and transport, increasing the abundance of genes involved in inorganic P solubilization and organic P mineralization, and increasing the abundance of genes involved in N metabolism. PLS-PM analysis showed that the direct effect of bacterial inoculants on peanut yield was the most important contributor to the yield increase. Therefore, B. cepacia ISOP5 and R. palustris ISP-1 are potential biological fertilizers that may improve soil fertility and microbial metabolism activities, ultimately increasing crop yields.

Data Availability Statement

The data presented in the study are deposited in the NCBI sequence read archive (SRA) repository, accession number (PRJNA627297).

Author Contributions

YW and Xg-L initiated the project. SP, QH, CQ and PW performed the experiments, Xl-L provided the meteorological data of monthly rainfall and air temperature during 2012–2016. SP analyzed the data and wrote the manuscript. All authors read and approved the final manuscript.

Conflict of Interest

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

Acknowledgments

We are very grateful to Zhilong Yang and Han Yu for their help in modifying the language of the manuscript. Special thanks to National Engineering and Technology Research Center for Red Soil Improvement, Experimental Station of Red Soil, Chinese Academy of Sciences.

Footnotes

Funding. Research in this work was funded by CAS Key Technology Talent Program, National Key Research and Development Plan (2016YFD0300802 and 2016YFD0800206), National Natural Science Foundation of China (41907154), Natural Science Foundation of Jiangsu Province (BK20191110 and BK20201110), Natural Science Research Projects in Jiangsu Provincial Colleges and Universities (18KJB210002), Taishan Industry Leading Talent (2018TSCYCX-32), and Young and Middle Aged Academic Leaders of “Blue Project” in Jiangsu Universities.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2021.693535/full#supplementary-material

Click here for additional data file. (2.5MB, docx)

References

  1. Bernabeu P. R., Pistorio M., Torres-Tejerizo G., Estrada-De los Santos P., Galar M. L., Boiardi J. L., et al. (2015). Colonization and plant growth-promotion of tomato by Burkholderia tropica. Sci. Horticult. 191 113–120. 10.1016/j.scienta.2015.05.014 [DOI] [Google Scholar]
  2. Caporaso J. G., Kuczynski J., Stombaugh J., Bittinger K., Bushman F. D., Costello E. K., et al. (2010). QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7 335–336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Dai Z., Liu G., Chen H., Chen C., Wang J., Ai S., et al. (2019). Long-term nutrient inputs shift soil microbial functional profiles of phosphorus cycling in diverse agroecosystems. ISME J 14 757–770. 10.1038/s41396-019-0567-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Ding J., Jiang X., Guan D., Zhao B., Ma M., Zhou B., et al. (2017). Influence of inorganic fertilizer and organic manure application on fungal communities in a long-term field experiment of Chinese Mollisols. Appl. Soil Ecol. 111 114–122. 10.1016/j.apsoil.2016.12.003 [DOI] [Google Scholar]
  5. Feng Y., Lin X., Wang Y., Zhang J., Mao T., Yin R., et al. (2009). Free-air CO2 enrichment (FACE) enhances the biodiversity of purple phototrophic bacteria in flooded paddy soil. Plant Soil 324 317–328. 10.1007/s11104-009-9959-3 [DOI] [Google Scholar]
  6. Feng Y., Lin X., Yu Y., Zhu J. (2011). Elevated ground-level O(3) changes the diversity of anoxygenic purple phototrophic bacteria in paddy field. Microb Ecol. 62 789–799. 10.1007/s00248-011-9895-7 [DOI] [PubMed] [Google Scholar]
  7. Han J., Dong Y., Zhang, Man. (2021). Chemical fertilizer reduction with organic fertilizer effectively improve soil fertility and microbial community from newly cultivated land in the Loess Plateau of China. Appl. Soil Ecol. 165:103966. 10.1016/j.apsoil.2021.103966 [DOI] [Google Scholar]
  8. Harada N., Nishiyama M., Otsuka S., Matsumoto S. (2005). Effects of Inoculation of Phototrophic Purple Bacteria on Grain Yield of Rice and Nitrogenase Activity of Paddy Soil in a Pot Experiment. Soil Sci. Plant Nutr. 51 361–367. 10.1111/j.1747-0765.2005.tb00041.x [DOI] [Google Scholar]
  9. Jaybhay S. A., Taware S. P., Varghese P. (2017). Microbial inoculation of Rhizobium and phosphate-solubilizing bacteria along with inorganic fertilizers for sustainable yield of soybean [Glycine max (L.) Merrill]. J. Plant Nutr. 40 2209–2216. 10.1080/01904167.2017.1346678 [DOI] [Google Scholar]
  10. Jiang Y., Qian H., Wang X., Chen L., Liu M., Li H., et al. (2018). Nematodes and microbial community affect the sizes and turnover rates of organic carbon pools in soil aggregates. Soil Biol. Biochem. 119 22–31. 10.1016/j.soilbio.2018.01.001 [DOI] [Google Scholar]
  11. Kageyama H., Tripathi K., Rai A. K., Chaum S., Waditeesirisattha R., Takabe T. (2011). An alkaline phosphatase/phosphodiesterase, PhoD, induced by salt stress and secreted out of the cells of Aphanothece halophytica, a halotolerant cyanobacterium. Appl. Environ. Microbiol. 77 5178–5183. 10.1128/aem.00667-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Kantha T., Kantachote D., Klongdee N. (2015). Potential of biofertilizers from selected Rhodopseudomonas palustris strains to assist rice (Oryza sativa L. subsp. indica) growth under salt stress and to reduce greenhouse gas emissions. Anna. Microbiol. 65 2109–2118. 10.1007/s13213-015-1049- [DOI] [Google Scholar]
  13. Langille M. G. I., Zaneveld J., Caporaso J. G., McDonald D., Knights D., Reyes J. A., et al. (2013). Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat. Biotechnol. 31 814–821. 10.1038/nbt.2676 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Lee K. H., Koh R. H., Song H. G. (2008). Enhancement of growth and yield of tomato by Rhodopseudomonas sp. under greenhouse conditions. J. Microbiol. 46 641–646. 10.1007/s12275-008-0159-2 [DOI] [PubMed] [Google Scholar]
  15. Li X., Deng Y., Li Q., Lu C., Wang J., Zhang H., et al. (2013). Shifts of functional gene representation in wheat rhizosphere microbial communities under elevated ozone. ISME J. 7 660–671. 10.1038/ismej.2012.120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Li X., Shi H., Wang Y., Zhang S., Chu J., Zhang M., et al. (2011). Effects of vitamins (nicotinic acid, vitamin B1 and biotin) on phototrophic hydrogen production by Rhodobacter sphaeroides ZX-5. Int. J. Hydrogen Energ. 36 9620–9625. 10.1016/j.ijhydene.2011.04.219 [DOI] [Google Scholar]
  17. Li Y., Liu X., Hao T., Chen S. (2017). Colonization and maize growth promotion induced by phosphate solubilizing bacterial isolates. Int. J. Mol. Sci. 18:1253. 10.3390/ijms18071253 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Li F., Chen L., Zhang J., Yin J., Huang S. (2017). Bacterial Community Structure after Long-term Organic and Inorganic Fertilization Reveals Important Associations between Soil Nutrients and Specific Taxa Involved in Nutrient Transformations. Front. Microbiol. 8:187. 10.3389/fmicb.2017.00187 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Liang C. M., Hung C. H., Hsu S. C., Yeh I. C. (2010). Purple nonsulfur bacteria diversity in activated sludge and its potential phosphorus-accumulating ability under different cultivation conditions. Appl. Microbiol. Biotechnol. 86 709–719. 10.1007/s00253-009-2348-2 [DOI] [PubMed] [Google Scholar]
  20. Lobo C. B., Juarez Tomas M. S., Viruel E., Ferrero M. A., Lucca M. E. (2019). Development of low-cost formulations of plant growth-promoting bacteria to be used as inoculants in beneficial agricultural technologies. Microbiol. Res. 219 12–25. 10.1016/j.micres.2018.10.012 [DOI] [PubMed] [Google Scholar]
  21. Lu H., Zhang G., Wan T., Lu Y. (2011). Influences of light and oxygen conditions on photosynthetic bacteria macromolecule degradation: different metabolic pathways. Bioresour. Technol. 102 9503–9508. 10.1016/j.biortech.2011.07.114 [DOI] [PubMed] [Google Scholar]
  22. Ludden P. W., Roberts G. P. (2002). Nitrogen fixation by photosynthetic bacteria. Photosynth. Res. 73 115–118. [DOI] [PubMed] [Google Scholar]
  23. Navarrete A. A., Soares T., Rossetto R., van Veen J. A., Tsai S. M., Kuramae E. E. (2015). Verrucomicrobial community structure and abundance as indicators for changes in chemical factors linked to soil fertility. Antonie Van Leeuwenhoek 108 741–752. 10.1007/s10482-015-0530-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Panhwar Q. A., Naher U. A., Jusop S., Othman R., Latif M. A., Ismail M. R. (2014). Biochemical and molecular characterization of potential phosphate-solubilizing bacteria in acid sulfate soils and their beneficial effects on rice growth. PLoS One. 9:e97241. 10.1371/journal.pone.0097241 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Pansu M., Gautheyrou J. (2006). Handbook of soil analysis-mineralogical, organic and inorganic Methods. Berlin: Springer-Verlag. [Google Scholar]
  26. Parastesh F., Alikhani H. A., Etesami H. (2019). Vermicompost enriched with phosphate–solubilizing bacteria provides plant with enough phosphorus in a sequential cropping under calcareous soil conditions. J. Cleaner Product. 221 27–37. 10.1016/j.jclepro.2019.02.234 [DOI] [Google Scholar]
  27. Peiffer J. A., Spor A., Koren O., Jin Z., Tringe S. G., Dangl J. L., et al. (2013). Diversity and heritability of the maize rhizosphere microbiome under field conditions. Proc. Natl. Acad. Sci. U. S. A. 110 6548–6553. 10.1073/pnas.1302837110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Qiao J., Yu X., Liang X., Liu Y., Borriss R., Liu Y. (2017). Addition of plant-growth promoting Bacillus subtilis PTS-394 on tomato rhizosphere has no durable impact on composition of root microbiome. BMC Microbiol. 17:131. 10.1186/s12866-017-1039-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Rafique M., Sultan T., Ortas I., Chaudhary H. J. (2017). Enhancement of maize plant growth with inoculation of phosphate-solubilizing bacteria and biochar amendment in soil. Soil Sci. Plant Nutr. 63 460–469. 10.1080/00380768.2017.1373599 [DOI] [Google Scholar]
  30. Ramakrishna W., Rathore P., Kumari R., Yadav R. (2020). Brown gold of marginal soil: Plant growth promoting bacteria to overcome plant abiotic stress for agriculture, biofuels and carbon sequestration. Sci. Total Environ. 711:135062. 10.1016/j.scitotenv.2019.135062 [DOI] [PubMed] [Google Scholar]
  31. Ramakrishna W., Yadav R., Li K. (2019). Plant growth promoting bacteria in agriculture: Two sides of a coin. Appl. Soil Ecol. 138 10–18. 10.1016/j.apsoil.2019.02.019 [DOI] [Google Scholar]
  32. Rezakhani L., Motesharezadeh B., Tehrani M. M., Etesami H., Mirseyed Hosseini H. (2019). Phosphate-solubilizing bacteria and silicon synergistically augment phosphorus (P) uptake by wheat (Triticum aestivum L.) plant fertilized with soluble or insoluble P source. Ecotoxicol. Environ. Saf. 173 504–513. 10.1016/j.ecoenv.2019.02.060 [DOI] [PubMed] [Google Scholar]
  33. Richardson A. E., Simpson R. J. (2011). Soil microorganisms mediating phosphorus availability update on microbial phosphorus. Plant Physiol. 156 989–996. 10.1104/pp.111.175448 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Rilling J. I., Acuña J. J., Nannipieri P., Cassan F., Maruyama F., Jorquera M. A. (2019). Current opinion and perspectives on the methods for tracking and monitoring plant growth-promoting bacteria. Soil Biol. Biochem. 130 205–219. 10.1016/j.soilbio.2018.12.012 [DOI] [Google Scholar]
  35. Sanchez G. (2013). PLS Path Modeling with R. Berkeley: Trowchez Editions. [Google Scholar]
  36. Sharma S. B., Sayyed R. Z., Trivedi M. H., Gobi T. A. (2013). Phosphate solubilizing microbes: sustainable approach for managing phosphorus deficiency in agricultural soils. Spring. 2:587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Strickland T. C., Sollins P. (1987). Improved method for separating light- and heavyfraction organic material from soil. Soil Sci. Soc. Am. J. 51 1390–1393. 10.2136/sssaj1987.03615995005100050056x [DOI] [Google Scholar]
  38. Sun S., Badgley B. D. (2019). Changes in microbial functional genes within the soil metagenome during forest ecosystem restoration. Soil Biol. Biochem. 135 163–172. 10.1016/j.soilbio.2019.05.004 [DOI] [Google Scholar]
  39. Valetti L., Iriarte L., Fabra A. (2018). Growth promotion of rapeseed (Brassica napus) associated with the inoculation of phosphate solubilizing bacteria. Appl. Soil Ecol. 132 1–10. 10.1016/j.apsoil.2018.08.017 [DOI] [Google Scholar]
  40. Wang X., Yang Y., Zhao J., Nie J., Zang H., Zeng Z., et al. (2020). Yield benefits from replacing chemical fertilizers with manure under water deficient conditions of the winter wheat – summer maize system in the North China Plain. Eur. J. Agron. 119:126118. 10.1016/j.eja.2020.126118 [DOI] [Google Scholar]
  41. Wong W. T., Tseng C. H., Hsu S. H., Lur H. S., Mo C. W., Huang C. N., et al. (2014). Promoting effects of a single Rhodopseudomonas palustris inoculant on plant growth by Brassica rapa chinensis under low fertilizer input. Microbes Environ. 29 303–313. 10.1264/jsme2.me14056 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Wu F., Li J., Chen Y., Zhang L., Zhang Y., Wang S., et al. (2019). Effects of Phosphate Solubilizing Bacteria on the Growth, Photosynthesis, and Nutrient Uptake of Camellia oleifera Abel. Forests 10:348. 10.3390/f10040348 [DOI] [Google Scholar]
  43. Wu J., Wang Y., Lin X. (2013). Purple Phototrophic Bacterium Enhances Stevioside Yield by Stevia rebaudiana Bertoni via Foliar Spray and Rhizosphere Irrigation. PLoS One 8:e67644. 10.1371/journal.pone.0067644 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Xu J., Feng Y., Wang Y., Lin X. (2018). Effect of Rhizobacterium Rhodopseudomonas palustris Inoculation on Stevia rebaudiana Plant Growth and Soil Microbial Community. Pedosphere 28 793–803. 10.1016/s1002-0160(18)60043-8 [DOI] [Google Scholar]
  45. Xu J., Feng Y., Wang Y., Luo X., Tang J., Lin X. (2016). The foliar spray of Rhodopseudomonas palustris grown under Stevia residue extract promotes plant growth via changing soil microbial community. J. Soils Sed. 16 916–923. 10.1007/s11368-015-1269-1 [DOI] [Google Scholar]
  46. Yang A., Zhang G., Meng F., Zhi R., Zhang P., Zhu Y. (2019). Nitrogen metabolism in photosynthetic bacteria wastewater treatment: A novel nitrogen transformation pathway. Bioresour. Technol. 294:122162. 10.1016/j.biortech.2019.122162 [DOI] [PubMed] [Google Scholar]
  47. Yu L. Y., Huang H. B., Wang X. H., Li S., Feng N. X., Zhao H. M., et al. (2019). Novel phosphate-solubilising bacteria isolated from sewage sludge and the mechanism of phosphate solubilisation. Sci. Total Environ. 658 474–484. 10.1016/j.scitotenv.2018.12.166 [DOI] [PubMed] [Google Scholar]
  48. Zhai Z., Chen A., Zhou H., Zhang D., Du X., Liu Q., et al. (2021). Structural characterization and functional activity of an exopolysaccharide secreted by Rhodopseudomonas palustris GJ-22. Int. J. Biol. Macromol. 167 160–168. 10.1016/j.ijbiomac.2020.11.165 [DOI] [PubMed] [Google Scholar]
  49. Zhang T., Hu F., Ma L. (2019). Phosphate-solubilizing bacteria from safflower rhizosphere and their effect on seedling growth. Open Life Sci. 14 246–254. 10.1515/biol-2019-0028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Zhou C., Zhu L., Ma Z., Wang J. (2018). Improved iron acquisition of Astragalus sinicus under low iron-availability conditions by soil-borne bacteria Burkholderia cepacia. J. Plant Interact. 13 9–20. 10.1080/17429145.2017.1407000 [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

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Data Availability Statement

The data presented in the study are deposited in the NCBI sequence read archive (SRA) repository, accession number (PRJNA627297).

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