Literature DB >> 31143242

Biofertilizers regulate the soil microbial community and enhance Panax ginseng yields.

Linlin Dong1, Yong Li2, Jiang Xu1, Juan Yang1, Guangfei Wei1, Liang Shen1, Wanlong Ding2, Shilin Chen1.   

Abstract

BACKGROUND: Panax ginseng is widely used as functional food and traditional Chinese medicine. To satisfy the market supply and medication safety, biofertilizers are used as agents to stimulate the growth and production of P. ginseng.
METHODS: In this study, we used high-throughput sequencing and quantitative polymerase chain reaction to analyze microbial community in soils treated with biofertilizers during the development stages of P. ginseng. Ginsenoside content was detected using high-performance liquid chromatography analysis to evaluate the effects of biofertilizer application.
RESULTS: In this study, the incidence rate of P. ginseng root rot significantly declined by 40.3-47.3% after application of disease-biocontrol biofertilizers. Bacterial diversity showed increasing trends in soils treated with 3.0-4.5 ml kg-1 of disease-biocontrol biofertilizers compared with those in untreated soils. Principal coordinate analysis ordination revealed that bacterial communities were changed by biofertilizers depending on their application concentration. Relative abundance of potentially beneficial bacterial agents, such as Bacillus, Burkholderia, Rhizobium, Streptomyces, and Mycobacterium, significantly increased compared with that in control. Fusarium of low abundance observed in soils treated with biofertilizers compared with that in untreated soils. P. ginseng yield was enhanced by 17.0-19.1%, and ginsenoside (Rg1 and Rb1) contents were improved after biofertilizer application.
CONCLUSIONS: Our results reveal that biofertilizers reduced the incidence rate of root rot, increased bacterial diversity, promoted the relative abundance of potentially beneficial bacterial taxa, decreased the abundance of potentially harmful bacterial agents, and then enhanced the yield and quality of P. ginseng.

Entities:  

Keywords:  Biofertilizer; High-throughput sequencing; Panax ginseng; Root-rot; Soil microbial community

Year:  2019        PMID: 31143242      PMCID: PMC6533694          DOI: 10.1186/s13020-019-0241-1

Source DB:  PubMed          Journal:  Chin Med        ISSN: 1749-8546            Impact factor:   5.455


Background

Panax ginseng is known for its value to human health; it boosts energy, reduces stress, and lowers blood sugar and cholesterol levels [1, 2]. At present, P. ginseng cultivation is performed to satisfy the market demands. The use of fertilizer is an effective strategy to increase the supply of P. ginseng. However, the overuse of agrochemicals has resulted in massive ecological degradation, including soil infertility, increased salinity, biodiversity loss, and soil-borne diseases [3, 4]. Panax root rot is a severe soil-borne disease that spreads rapidly and causes considerable yield loss [5, 6]. Fusarium oxysporum is one of the main pathogens of Panax plants [7, 8]. Chemical pesticides are used to control disease, but adsorption of residual pesticides by roots can result in serious health issues [9]. Sustainable P. ginseng production requires novel pathways to reduce the occurrence of disease and the application of agrochemicals or pesticides that can pollute the environment. Safety biofertilizers and strategies to control soil-borne diseases are urgently needed for the P. ginseng cultivation. Biofertilizers are regarded as environmentally sustainable and cost-effective alternative to synthetic fertilizers [10, 11]. Biofertilizers are products that contain living microorganisms or natural compounds from organisms that regulate soil biological properties, improve plant growth, restore soil fertility, and decrease plant diseases [12, 13]. Extensive reports on biofertilizers have revealed their capacity to provide nutrients to plants and consequently enhance crop yield [14, 15]. Most commercialized rhizobacterial products serve as bioinoculants to antagonize plant diseases [16]. To satisfy market demands and medication safety requirements, biofertilizers are used as agents to stimulate the growth and yield of P. ginseng by increasing the nutrient supply or inhibiting plant diseases. Microbes are living soil members that play important roles in soil ecosystem activities that promote nutrient mobilization, plant growth, and yield [17, 18]. Variations in diversity and composition of soil microbial communities disrupt the ecological function and negatively affect soil productivity, thereby leading to yield loss [19]. Regulation of soil microbial communities by inoculating functional microbes can renovate microecology and improve crop yield [20, 21]. Microorganisms also serve as antagonists to soil-borne phytopathogens. Inoculation of Bacillus subtilis 50-1, for example, alleviates the replanting mortality of P. ginseng [8]. P. ginseng, a perennial plant undergoing different developmental stages annually, is continuously cultivated for 4–5 years prior to harvest. While significant shifts in the diversity of soil microbial communities have been observed during the developmental stages of this plant [8]; few reports are available regarding how biofertilizers affect P. ginseng yield by regulating soil microbial communities during these stages. Panax ginseng is a traditional Chinese medicine, and its main active components are ginsenosides, including Rg1, Re, Rb1, Rc, Rf, Rd, and Rb2 [22]. Ginsenoside content is a vital quality index in the market. Zhao et al. [23] reported that B. amyloliquefaciens GB03 inoculation improves metabolite accumulation in Codonopsis pilosula (Franch.). We speculate that application of biofertilizers affects the ginsenoside content of P. ginseng. In this study, we analyzed changes in soil microbial communities under biofertilizer treatment through high-throughput sequencing analysis of 16S RNA genes during the different developmental stages of P. ginseng. To evaluate the effects of biofertilizers on potentially harmful taxa, we examined the abundance of Fusarium through quantitative polymerase chain reaction (qPCR). Ginsenoside content was detected using high-performance liquid chromatography to evaluate the effects of biofertilizer application. Our results indicated that biofertilizer application could contribute to the sustainable cultivation and the safe medical use of P. ginseng.

Materials and methods

Site description and field experiment design

A field experiment was performed in a P. ginseng plantation in Jingyu, Jilin Province (42°20ʹN, 126°50ʹE, 775 m a.s.l.). This experimental site was introduced in the description of Dong et al. [8]. The field area is a traditional farmland with corn, and it has served as a cultivation area of P. ginseng since 2014. This area was subdivided in 21 plots with 1.6 m × 6.0 m. The field experiment comprised seven treatments, including treatment with growth-promoting biofertilizers (T1), treatment with disease-biological biofertilizers (T2), and no biofertilizer treatment (CK). The two types of biofertilizers included three concentrations for three treatments. A total of 3.0, 6.0, and 9.0 ml kg−1 of growth-promoting biofertilizers represented low (T1-L), middle (T1-M), and high (T1-H) concentrations, respectively. Furthermore, 1.5, 3.0, and 4.5 ml kg−1 of disease-biocontrol biofertilizers represented low (T2-L), middle (T2-M), and high (T2-H) concentrations, respectively. T1 of P. ginseng comprised a liquid gel suspension containing a phototrophic and N-fixing bacteria consort (Burkholderia and Rhizobium) cultured in vitro. The gel contained over 8000 propagules per milliliter. T2 of P. ginseng contained a liquid gel suspension with Gram-positive actinomycetes (Actinomyces), Bacillus and Aspergillus. The gel comprised over 10,000 propagules per milliliter. Different biofertilizer concentrations with organic fertilizer were uniformly mixed and fermented for 30 days with polyethylene film. The main component of the organic fertilizer was pig and cow manure (W/W = 1:2), which was provided by Shengshi Baicao, China. Each biofertilizer concentration with organic fertilizers (3.0 kg m−2) was randomly applied to one plot as one treatment. Moreover, the application of organic fertilizers without biofertilizers served as the control. This experiment was carried out in triplicate. After 1 month of application, 2-year-old ginseng seedlings (15 cm × 10 cm) were transplanted into each plot (1.6 m × 6.0 m) in 2014. P. ginseng was cultivated according to the standard operating procedures of good agricultural practice [24, 25]. P. ginseng seedlings are commonly cultivated for 4–5 years before harvest, and they undergo the different developmental stages of vegetative, flower, fruit, and root growth after transplantation. To determine the effectiveness of the biofertilizers applied, we analyzed the growth and soil microbial community during the different developmental stages of P. ginseng and assessed the yield and quality of 4-year-old seedlings in 2016.

The incidence rate of P. ginseng root rot

Root rot is a serious P. ginseng disease that occurs from June to August each year. P. ginseng root rot was investigated from June to August, and the incidence rate was calculated in August 2015 and 2016 after transplantation. The incidence rate was calculated as the number of diseased plants divided by the number of all plants in each plot (1.6 m × 6.0 m). This experiment was carried out in triplicate.

Soil microbial communities

To analyze changes in the soil microbial community under biofertilizer treatment, we collected soil samples from different developmental stages of P. ginseng seedlings. The sampling times of the developmental stages of vegetative, flower, fruit, and root growth corresponded to the description of Dong et al. [8]. Soil samples were collected from five spots (0–20 cm) around each seedling root by the drilling method. Soil samples from six seedlings randomly selected from each plot were pooled into one sample. Three replicate were prepared. All samples were homogenized by passing through a 2 mm sieve for analysis of soil microbial communities. Total soil DNA was extracted using a MoBio Powersoil Kit (MoBio Laboratories Inc., Carlsbad, CA) in accordance with the usage guidelines. DNA samples were stored at − 20 °C for further processing. Fragments of 16S rRNA genes were amplified using the primers 27F/338R [26]. These primers were with an 8 bp pair barcode to analyze the soil microbial communities (Additional file 1: Table S1). Amplification, purification, and quantitation were performed according to the description of Rodrigues et al. [27]. The pooled DNA products were used to construct an Illumina pair-end library and subsequently pair-end sequenced (2 × 250) on an Illumina HiSeq platform based on standard protocols. Data were quality filtered using QIIME according to the standard pipeline [28]. Operational taxonomic units (OTUs) were clustered using a 97% similarity cut-off via UPARSE version 7.1 (http://drive5.com/uparse/). Chimeric sequences were identified using UCHIME. The phylogenetic affiliation of 16S rRNA gene sequences was analyzed by the Ribosomal Database Project [29]. Rarefaction analysis according to Mothur v.1.21.1 was performed to determine the diversity indices, including ACE, Chao 1, and Shannon diversity indices. The taxa obtained from RDP Classifier through complete linkage hierarchies were clustered using R package HCLUST (http://sekhon.berkeley.edu/stats/html/hclust.html). Principal coordinate analysis (PCoA) analysis was performed to compare groups of samples according to Bray–Curtis distance metrics. All data from high-throughput sequencing were submitted to the National Center for Biotechnology Information (http://www.nvbi.nlm.nih.gov), and the accession number of the 16S rRNA sequences was SRP131253. To evaluate the effects of biofertilizers on potential pathogenic agents, we analyzed the abundance of Fusarium by quantitative PCR analysis. Fusarium fragments were amplified using the primers ITS-Fu-F/ITS-Fu-R [30]. The copy numbers of Fusarium in soils of P. ginseng seedlings among the different treatments were calculated according to the previous description [8, 31].

The root growth and yield of P. ginseng

To evaluate the effects of biofertilizers, the fresh root weight and yield of 4-year-old P. ginseng seedlings were analyzed in October 2016. A total of 30 plants were used to analyze root growth [32]. Ten P. ginseng seedlings were randomly collected from each plot to analyze fresh root weight. P. ginseng seedling roots randomly collected from 1 m2 of each plot under different treatments were dried to calculate yields [33]. Data reflect the mean of triplicates.

Ginsenoside contents in P. ginseng root

The standard ginsenosides, namely, Rg1, Re, Rb1, Rb2, Rc, and Rd, were purchased from Shanghai Tauto Biotech Company (Shanghai, China). The standard solutions were dissolved in methanol (Fair Lawn, NJ, USA) for further experiments. Ten samples of P. ginseng roots (4-year-old) from each plot were pooled and considered one sample. P. ginseng extract preparation was performed according to the description of Dong et al. [22]. Ginsenoside contents were determined through high-performance liquid chromatography (Agilent 1260, USA) using a system equipped with a binary pump, an online degasser, a column compartment, and an auto plate sampler. The reA C18 reversed phase column (250 mm × 4.6 mm, i.d. 5 µm; Eclipse XDB, Agilent, USA) was used for separation. The column temperature was kept at 25 °C, and the flow rate and wavelength were 1.0 ml min−1 and 203 nm, respectively. The gradient was composed of water and acetonitrile. The linear gradient was set as follows: 0–12 min for 19% acetonitrile and 12–60 min for 19–40% acetonitrile.

Statistical analysis

Variables were used to analyze replicates and subjected to ANOVA using SPSS version 16.0 software (SPSS Inc., Chicago, IL, USA). The data were presented as mean ± SD of n = 3. No adjustments were implemented for multiple comparisons. Duncan’s multiple range test was used to analyze differences between means at a significance level of P < 0.05. The Minimum Standards of Reporting Checklist (Additional file 2) contains details of the experimental design, and statistics, and resources used in this study.

Results

The incidence rate of root rot decreased after application of disease-biocontrol biofertilizers

The chemical properties (pH, total N, organic content, available P and available K) of soils treated with biofertilizers showed insignificant differences compared with those of untreated soils before P. ginseng cultivation in 2015 (Additional file 1: Table S2). Insignificant differences in emergence rate and the aboveground growth of P. ginseng seedlings were also observed in treatments with biofertilizers compared with those in CK (Additional file 1: Figure S1 and Table S3). Root rot infection caused discoloration in P. ginseng roots and withered aboveground parts (Fig. 1a). The biocontrol effects of T1 on root rot were insignificant compared with those without biofertilizers in 2015 and 2016 (Fig. 1b, c). The influence of T1 on damping-off was insignificant compared with those treatments without biofertilizers in 2015 and 2016 (Additional file 1: Figure S2). The incidence rates of root rot and damping-off significantly decreased by 40.3–47.3% and 30.0–39.4% in T2 compared with those in CK in 2015 (Fig. 1b and Additional file 1: Figure S2). The biocontrol effect of T2 on root rot and damping-off were insignificant compared with those of soils without biofertilizers in 2016 (Fig. 1c and Additional file 1: Figure S2).
Fig. 1

Incidence rate of Panax ginseng root rot. a Symptoms of root rot. b Incidence rate of root rot in 2015. c Incidence rate of root rot in 2016. CK represents the treatment without biofertilizers. T1 and T2 represent treatments with growth-promoting and disease-biocontrol biofertilizers, respectively. Data are presented as mean ± SD (n = 3). Identical letters denote insignificant differences among treatments at the 0.05 level

Incidence rate of Panax ginseng root rot. a Symptoms of root rot. b Incidence rate of root rot in 2015. c Incidence rate of root rot in 2016. CK represents the treatment without biofertilizers. T1 and T2 represent treatments with growth-promoting and disease-biocontrol biofertilizers, respectively. Data are presented as mean ± SD (n = 3). Identical letters denote insignificant differences among treatments at the 0.05 level

Biofertilizers changed the diversity of the soil microbial community

To assess the effects of biofertilizers on soil microecology, we analyzed changes in the soil microbial community in the different developmental stages of P. ginseng after biofertilizers were applied for 1 year. A total of 6,328,913 classifiable 16S rRNA sequences and 233,542 OTUs were acquired from 84 soil samples for analysis (Additional file 1: Table S1). The mean numbers of sequences and OTUs per sample were 75,344 and 2780, respectively. The OTUs ranged from 2394 to 3122. Compared with that without biofertilizers, the effects of biofertilizers on the bacterial diversity indexes (ACE, Chao, and Shannon) depended on their concentration during the different growth stages of P. ginseng seedlings (Table 1). Bacterial diversity indices showed increasing trends in T1-M soils (6.0 ml kg−1) from the vegetative stage to the root growth stage of P. ginseng compared with those in untreated soils (CK). Diversity indices also displayed higher values in T2-M and T2-H soils (3.0 and 4.5 ml kg−1, respectively) than those in untreated soils from the vegetative stage to the root growth stage of P. ginseng. In addition, diversity indices were significantly higher in T2-M soils during the vegetative and fruiting stages than in untreated soils. These results indicate that biofertilizers change the diversity of the soil microbial community and that the effects of the biofertilizer depended on the application concentration.
Table 1

Alpha diversity of bacterial community in soils with or without biofertilizers

TreatmentsVegetative stageFlowering stageFruiting stageRoot growth stage
ACEChaoShannonACEChaoShannonACEChaoShannonACEChaoShannon
CK5322 ± 298b4575 ± 91b6.88 ± 0.05b5560 ± 275a4430 ± 188b6.88 ± 0.08b5166 ± 184b4084 ± 138b6.70 ± 0.03b5568 ± 134a4437 ± 153ab6.91 ± 0.04a
T1-L5675 ± 452b4508 ± 56b6.90 ± 0.07b5541 ± 148a4432 ± 100b6.86 ± 0.06b5555 ± 354ab4476 ± 242ab6.81 ± 0.05b5505 ± 247a4476 ± 191ab6.92 ± 0.02a
T1-M5491 ± 219b4597 ± 155b6.94 ± 0.07b5624 ± 193a4480 ± 172b6.91 ± 0.05ab5348 ± 193ab4266 ± 148ab6.81 ± 0.07b5724 ± 98a4698 ± 65ab7.00 ± 0.03a
T1-H5637 ± 169b4529 ± 154b6.91 ± 0.08b5589 ± 232a4462 ± 158b6.86 ± 0.07b5467 ± 242ab4342 ± 198ab6.81 ± 0.07b5315 ± 143b4277 ± 83b6.86 ± 0.03b
T2-L6168 ± 57a4930 ± 33a7.09 ± 0.02a5875 ± 113a4654 ± 119a6.95 ± 0.06a4966 ± 268b4293 ± 59ab6.81 ± 0.08b5622 ± 86a4516 ± 99ab6.96 ± 0.05a
T2-M6127 ± 89a4940 ± 52a7.07 ± 0.04a5938 ± 55a4783 ± 34a7.00 ± 0.02a5788 ± 181a4613 ± 120a6.95 ± 0.05a5824 ± 68a4726 ± 16a7.00 ± 0.01a
T2-H5870 ± 136b4749 ± 46b6.98 ± 0.02b5836 ± 186a4586 ± 312b6.90 ± 0.04ab5332 ± 124ab4339 ± 134ab6.80 ± 0.09b5667 ± 143a4515 ± 90ab6.94 ± 0.05a

CK represents the treatment without biofertilizers. T1-L, T1-M and T1-H present treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H present treatments with disease-biocontrol biofertilizers at low, middle, and high concentrations, respectively. Data are presented as mean (n = 3) ± SD. Identical letters denote non-significant difference at 0.05 level

Alpha diversity of bacterial community in soils with or without biofertilizers CK represents the treatment without biofertilizers. T1-L, T1-M and T1-H present treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H present treatments with disease-biocontrol biofertilizers at low, middle, and high concentrations, respectively. Data are presented as mean (n = 3) ± SD. Identical letters denote non-significant difference at 0.05 level

Biofertilizers changed the soil microbial community

PCoA ordination revealed changes in the bacterial communities in T1 and T2 soils compared with that in CK soils (Fig. 2). During the vegetative stage of P. ginseng, the first principal component (56.20% contribution) demonstrated bacterial communities in T2-L, T2-M, and T2-H soils compared with those in CK (Fig. 2a). During the flowering stage of P. ginseng, the first principal component axis (46.92% contribution) showed that bacterial communities in T2-M soils markedly differed from those in T1-H, T2-H, and CK soils (Fig. 2b). During the fruiting stage of P. ginseng, the second principal component axis (18.72% contribution) indicated that the bacterial communities in T1-M and T2-M soils differed from those in CK (Fig. 2c). During the root growth stage of P. ginseng, PCoA ordination showed insignificant differences in bacterial communities between soils treated with biofertilizers and CK (Fig. 2d).
Fig. 2

Changes in bacterial communities in soils with and without biofertilizer. a–d Principal coordinate analysis ordination plots show the relatedness of samples separated using the Bray–Curtis distances of the classified 16S rRNA gene sequences at the vegetative, flowering, fruiting, and root growth stages. CK represents the treatment without biofertilizers. T1-L, T1-M, and T1-H represent treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H represent treatments with disease-biocontrol biofertilizers at low, middle, and high concentrations, respectively

Changes in bacterial communities in soils with and without biofertilizer. a–d Principal coordinate analysis ordination plots show the relatedness of samples separated using the Bray–Curtis distances of the classified 16S rRNA gene sequences at the vegetative, flowering, fruiting, and root growth stages. CK represents the treatment without biofertilizers. T1-L, T1-M, and T1-H represent treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H represent treatments with disease-biocontrol biofertilizers at low, middle, and high concentrations, respectively

Biofertilizers changed the relative abundance of bacterial groups

The relative abundance of bacterial groups changed in treated or untreated soils from the phylum level to the genus level during the different developmental stages of P. ginseng (Additional file 1: Figures S3, S4 and Fig. 3). Acidobacteria, Actinobacteria, Chloroflexi, Gemmatimonadetes, Proteobacteria, and Verrucomicrobia were the main bacterial taxa at the phylum level in soils of P. ginseng (Additional file 1: Figure S3). During the flowering and fruiting stages of P. ginseng, the relative abundance of Gemmatimonadetes showed decreasing trends in T1 and T2 soils compared with those in CK soils. Additionally, Chloroflexi abundance increased in T1 and T2 soils compared with those in CK soils during the flowering, fruiting, and root growth stages of P. ginseng. The relative abundance of bacterial groups showed fluctuations at the family level in treated or untreated soils (Additional file 1: Figure S4).
Fig. 3

Changes in bacterial genera in soils with and without biofertilizers. a–d Changes in the relative abundance of bacterial genera at the vegetative, flowering, fruiting, and root growth stages. Heat map showing major bacterial genera with average relative abundance > 0.05% in all samples. Clustering on the x-axis relied on the bacterial composition of the samples. CK represents the treatment without biofertilizers. T1-L, T1-M, and T1-H represent treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H represent treatments with disease biocontrol biofertilizers at low, middle, and high concentrations, respectively. Data are presented as mean (n = 3)

Changes in bacterial genera in soils with and without biofertilizers. a–d Changes in the relative abundance of bacterial genera at the vegetative, flowering, fruiting, and root growth stages. Heat map showing major bacterial genera with average relative abundance > 0.05% in all samples. Clustering on the x-axis relied on the bacterial composition of the samples. CK represents the treatment without biofertilizers. T1-L, T1-M, and T1-H represent treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H represent treatments with disease biocontrol biofertilizers at low, middle, and high concentrations, respectively. Data are presented as mean (n = 3) During the vegetative stage of P. ginseng, the relative abundances of Anaerolinea, Cryobacterium, and Methanobacterium significantly declined by 54.5–69.5%, 24.8–28.2%, and 48.9–88.5%, respectively, in soils with biofertilizers compared with those in soils without biofertilizers. The relative abundances of Anaeromyxobacter, Bdellovibrio, and Sphingomonas increased by 56.0–82.3%, 11.4–65.7%, and 17.6–21.6%, respectively, in T1 soils compared with those in CK soils (Fig. 3a). Moreover, the relative abundance of Bacillus, Flavobacterium, Rhizobium, and Streptomyces increased by 30.3–57.2%, 10.2–82.5%, 77.9–116.7%, and 14.9–102.0%, respectively. The relative abundances of Haliangium and Methanobacterium decreased by 10.8–17.1% and 15.4–33.4%, respectively, in T2 soils compared with those in CK soils. During the flowering stage of P. ginseng, the relative abundances of Arenimonas and Pseudolabrys declined by 12.0–64.0% and 12.0–78.7%, respectively, in soils with biofertilizers compared with those in soils without biofertilizers. The relative abundance of Bdellovibrio markedly increased by 37.8–303.4% in T1 soils compared with those in CK soils (Fig. 3b). The relative abundances of Bacillus, Burkholderia, Rhizobium, and Streptomyces significantly increased by 185.7%, 121.1%, 439.0%, and 116.2%, respectively, in T1-H soils compared with those in CK soils. The relative abundances of Anaerolinea and Rhizobium increased by 17.1–230.0% and 14.1–125.6%, respectively, in T2 soils compared with those in CK soils. The relative abundances of Mycobacterium and Streptomyces markedly increased by 45.0–57.9% and 161.6–179.2%, respectively, in T2-L and T2-M soils compared with those in CK soils. In the fruiting stage of P. ginseng, the relative abundances of Mycobacterium and Streptomyces significantly increased by 11.5–140.0% and 20.3–144.3%, respectively, in T1 and T2 soils compared with those in CK soils (Fig. 3c). The relative abundances of Acidothermus and Bacillus increased by 37.0–67.2% and 13.3–31.9%, respectively, in T1 soils compared with that in CK soils. In the root growth stage of P. ginseng, the relative abundances of Bacillus, Burkholderia, and Rhizobium significantly increased by 28.0%, 28.6%, and 45.3%, respectively, in T1-M soils compared with those in CK soils (Fig. 3d). The relative abundances of Anaerolinea, Arthrobacter, Cryobacterium, and Janthinobacterium were remarkably higher in T2 soils than in CK soils. The relative abundances of Bacillus and Rhizobium significantly increased by 34.3% and 35.3% in T2-L soils compared with those in CK soils.

Biofertilizers reduced the relative abundance of Fusarium

The relative abundance of Fusarium was reduced in T1 and T2 soils compared with that in CK soils (Fig. 4). The relative abundance of Fusarium decreased by 11.4–18.8% and 13.1–31.2% in T1 (middle concentration) and T2 (low concentration) soils, respectively, compared with those in CK soils in 2015 (Fig. 4a). The relative abundance of Fusarium declined by 15.9–18.9% in T1 soils (middle concentration) during the flowering, fruiting, and root growth stages of P. ginseng compared with those in untreated soils in 2016 (Fig. 4b). Fusarium abundance significantly decreased in T2 soils during the fruiting and root growth stages of P. ginseng compared with those in untreated soils in 2016.
Fig. 4

Changes in the relative abundance of Fusarium in soils with and without biofertilizers during the different developmental stages of P. ginseng in 2015 (a) and 2016 (b). Ve, Fl, Fr, and Ro represent the vegetative, flowering, fruiting, and root growth stages, respectively. CK represents the treatment without biofertilizers. T1-L, T1-M, and T1-H represent treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H present treatments with disease-biocontrol biofertilizers at low, middle, and high concentrations, respectively. Data are presented as mean ± SD (n = 3). Identical letters denote insignificant differences among treatments in the same developmental stage at the 0.05 level

Changes in the relative abundance of Fusarium in soils with and without biofertilizers during the different developmental stages of P. ginseng in 2015 (a) and 2016 (b). Ve, Fl, Fr, and Ro represent the vegetative, flowering, fruiting, and root growth stages, respectively. CK represents the treatment without biofertilizers. T1-L, T1-M, and T1-H represent treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H present treatments with disease-biocontrol biofertilizers at low, middle, and high concentrations, respectively. Data are presented as mean ± SD (n = 3). Identical letters denote insignificant differences among treatments in the same developmental stage at the 0.05 level

Biofertilizers enhanced the root growth and yield of P. ginseng

The root growth and yield of P. ginseng increased depending on the concentrations of biofertilizer application (Fig. 5). While T1-M enhanced the root growth and yield of P. ginseng by 16.5% and 17.0%, respectively, T2-L and T2-M improved the root growth and yield of the plant by 13.5–15.7% and 18.1–19.1%, respectively.
Fig. 5

Root growth and yield of P. ginseng. a The 4-year-old P. ginseng root. b Fresh weights of roots in treatments with and without biofertilizers. c Yields in treatments with and without biofertilizers. CK represents the treatment without biofertilizers. T1 and T2 represent treatments with growth-promoting and disease-biocontrol biofertilizers, respectively. Data are presented as mean ± SD (n = 3). Identical letters denote insignificant differences among treatments at the 0.05 level

Root growth and yield of P. ginseng. a The 4-year-old P. ginseng root. b Fresh weights of roots in treatments with and without biofertilizers. c Yields in treatments with and without biofertilizers. CK represents the treatment without biofertilizers. T1 and T2 represent treatments with growth-promoting and disease-biocontrol biofertilizers, respectively. Data are presented as mean ± SD (n = 3). Identical letters denote insignificant differences among treatments at the 0.05 level

Biofertilizers improved the ginsenoside content of P. ginseng root

The ginsenoside (Rg1 and Rb1) content in 4-year-old P. ginseng roots improved depending on the applied concentration of biofertilizers (Fig. 6). T1-M and T2-M significantly increased Rg1 and Rb1 contents, respectively, compared to those without biofertilizers. The field experimental results indicate that biofertilizers improve the quality of P. ginseng in a concentration-dependent manner.
Fig. 6

Ginsenoside contents (%) of four-year-old P. ginseng roots. a Mixed standards. b HPLC chromatogram profiles of P. ginseng roots. c Contents of Rg1, Re, Rb1, Rc, Rb2, and Rd in P. ginseng roots. CK represents the treatment without biofertilizers. T1-L, T1-M, and T1-H represent treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H represent treatments with disease-biocontrol biofertilizers at low, middle, and high concentrations, respectively. Data are presented as mean ± SD (n = 3). Identical letters denote insignificant differences among treatments at the same developmental stage at the 0.05 level

Ginsenoside contents (%) of four-year-old P. ginseng roots. a Mixed standards. b HPLC chromatogram profiles of P. ginseng roots. c Contents of Rg1, Re, Rb1, Rc, Rb2, and Rd in P. ginseng roots. CK represents the treatment without biofertilizers. T1-L, T1-M, and T1-H represent treatments with growth-promoting biofertilizers at low, middle, and high concentrations, respectively. T2-L, T2-M, and T2-H represent treatments with disease-biocontrol biofertilizers at low, middle, and high concentrations, respectively. Data are presented as mean ± SD (n = 3). Identical letters denote insignificant differences among treatments at the same developmental stage at the 0.05 level

Discussion

The incidence rate of P. ginseng root rot significantly decreased by 40.3–47.3% through T2 application within 1 year. P. ginseng yields and ginsenoside (Rg1 and Rb1) contents were enhanced in T1 and T2 in a concentration-dependent manner. Biofertilizers are widely accepted because they promote plant root growth and protect roots from soil-borne pathogens [34]. The results of biofertilizer application may offer information about the development of disease control strategies [35]. Biofertilizers containing B. amyloliquefaciens strain NJN-6 with organic mixtures of pig manure and amino acids can suppress banana Fusarium wilt disease [36]. El-Haddad et al. [37] reported that biofertilizers, including phosphate-solubilizing bacteria, that is, B. circulans, and N-fixing bacteria, show significant nematicidal activity. In addition, the incidence rate of P. ginseng damping-off significantly decreased by 30.0–39.4% in T2 within 1 year (Additional file 1: Figure S2). While the incidence rate of P. ginseng root rot showed increasing trends in T1, these increases were insignificant. Multiple microbial interactions include antibiosis, competition, and symbiosis [38]. Application of microbial inoculants can influence resident microbial communities and disrupt the ecological balance in soil microbial communities [39]. Inoculation of growth-promoting biofertilizers containing living strains can cause imbalance in the rhizosphere and result in the increased incidence rate of root rot. Thus, the biofertilizer type should be considered in practical applications. Bacterial populations enhance yield and serve as antagonists of soil-borne disease [15]. Application of inoculants, such as B. amyloliquefaciens GB03, improves the metabolite accumulation of C. pilosula (Franch.) [23]. Li and Huang have reported that application of biological fertilizer improve the indexes of P. ginseng growth and total ginsenosides [40]. The yield of P. ginseng is increased by 10–30% after application of biofertilizers [41]. Similar to the present results, these findings reveal that biofertilizers can enhance the quality of medicinal materials. Bacterial diversity indexes evidently increased, and the compositions of soil microbial communities changed in T1 and T2 soils compared with those in CK soils; the effects of biofertilizers depend on their concentrations of application. Biofertilizer application increases the bacterial diversity in soils of cucumber and tobacco [42, 43]. Moreover, biofertilizer application (2 years continuously) regulates the compositions of microbial communities by increasing the bacterial diversity [44]. Dong et al. [45] have reported that biofertilizer application changed the diversity and composition of microbial communities. These results indicated that biofertilizer application manipulated the diversity and compositions of soil microbial communities. Plant growth-promoting rhizobacteria (PGPR) directly or indirectly play vital roles in plant health and soil fertility [15]. A large number of PGPR genera, including Bacillus, Enterobacter, Burkholderia, Pseudomonas, Rhizobium, Streptomyces, Sphingobacterium, and Mycobacterium, have been characterized [46-48]. Evident strains include Rhizobium, Burkholderia, Pseudomonas, and Bacillus, which can solubilize insoluble inorganic phosphorus [13]. Many types of biofertilizers, such as Enterobacter, Mycobacterium, and Streptomyces, produce IAA, which induces plant stress resistance [49-51]. Several biofertilizers, such as Pseudomonas, produce antifungal antibiotics that can inhibit plant pathological fungi [52]. The abundance of beneficial microbial taxa that can control Fusarium wilt disease, such as Pseudomonas and Bacillus, increased in T1 and T2 soils compared with those in CK soils [44]. In the present study, the biofertilizers contained PGPR, such as a phototrophic and N-fixing bacteria consort, Gram-positive actinomycetes, Bacillus and Aspergillus. After biofertilizer application, the relative abundance of potentially beneficial bacterial taxa, such as Bacillus, Burkholderia, Rhizobium, Streptomyces, and Mycobacterium, showed increasing trends. Furthermore, the abundance of Fusarium decreased in T1 and T2 soils. The direct mechanism of PGPR involves improvements in N fixation, phosphate solubilization, and phytohormone while its indirect mechanism involves improvements in hydrolytic enzyme production, exopolysaccharide production, and induced system resistance [13]. Taken together, we speculate that application of biofertilizers, including functional groups, promotes P. ginseng yield by modifying the soil microecology and inhibiting plant pathogenic diseases (Fig. 7). Several beneficial bacterial groups can solubilize phosphate to promote the growth of P. ginseng root. In addition, other groups secreting antifungal antibiotics can decrease the risk of soil-borne diseases. Our results provided important information about biofertilizer application and contributed to the safe medical use of P. ginseng.
Fig. 7

Potential mechanism of biofertilizers regulating the soil microecology to enhance yield. Circles represent bacterial secretions

Potential mechanism of biofertilizers regulating the soil microecology to enhance yield. Circles represent bacterial secretions

Conclusions

In this study, biofertilizers reduced the incidence rate of root rot, increased bacterial diversity, promoted the relative abundance of potentially beneficial bacterial taxa, decreased the abundance of potentially harmful bacterial agents, and enhanced the yield and quality of P. ginseng. The influence of the biofertilizers depended on their application concentrations. These results provide vital information that can be used as a guide for biofertilizer application and contribute to the sustainable production of P. ginseng. This work also offers effective approaches to guarantee the safe medical use of the plant. Additional file 1: Table S1. Barcodes, OTUs and numbers of bacterial sequences in each sample. Table S2. Soil chemical properties in the soils of P. ginseng plants. Table S3. The height and leaf area of P. ginseng plants in different treatments. Table S4. Calibration curves, linearity, precision, repeatability, stability and recovery rate of six ginsenosides. Figure S1. The emergence rate of P. ginseng plants in 2015 (A) and 2016 (B). Figure S2. Incidence rate of P. ginseng damping-off. Figure S3. The relative abundance of bacterial taxa at the level of phylum. Figure S4. Relative abundance (> 0.10%) of bacterial groups in soils of different treatments during developmental stages of P. ginseng. Additional file 2. Minimum Standards of Reporting Checklist.
  30 in total

Review 1.  Microbial interactions and biocontrol in the rhizosphere.

Authors:  J M Whipps
Journal:  J Exp Bot       Date:  2001-03       Impact factor: 6.992

Review 2.  Plant-beneficial effects of Trichoderma and of its genes.

Authors:  Rosa Hermosa; Ada Viterbo; Ilan Chet; Enrique Monte
Journal:  Microbiology       Date:  2011-10-13       Impact factor: 2.777

3.  Soil bacterial and fungal communities across a pH gradient in an arable soil.

Authors:  Johannes Rousk; Erland Bååth; Philip C Brookes; Christian L Lauber; Catherine Lozupone; J Gregory Caporaso; Rob Knight; Noah Fierer
Journal:  ISME J       Date:  2010-05-06       Impact factor: 10.302

4.  Cultivation and breeding of Chinese medicinal plants in Germany.

Authors:  Heidi Heuberger; Rudolf Bauer; Fritz Friedl; Günther Heubl; Josef Hummelsberger; Rainer Nögel; Rebecca Seidenberger; Paula Torres-Londoño
Journal:  Planta Med       Date:  2010-11-12       Impact factor: 3.352

Review 5.  GAP production of TCM herbs in China.

Authors:  Bengang Zhang; Yong Peng; Zhao Zhang; Haitao Liu; Yaodong Qi; Shuang Liu; Peigen Xiao
Journal:  Planta Med       Date:  2010-11-12       Impact factor: 3.352

6.  Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.

Authors:  Qiong Wang; George M Garrity; James M Tiedje; James R Cole
Journal:  Appl Environ Microbiol       Date:  2007-06-22       Impact factor: 4.792

Review 7.  Apple replant disease: role of microbial ecology in cause and control.

Authors:  Mark Mazzola; Luisa M Manici
Journal:  Annu Rev Phytopathol       Date:  2012-05-01       Impact factor: 13.078

8.  PyNAST: a flexible tool for aligning sequences to a template alignment.

Authors:  J Gregory Caporaso; Kyle Bittinger; Frederic D Bushman; Todd Z DeSantis; Gary L Andersen; Rob Knight
Journal:  Bioinformatics       Date:  2009-11-13       Impact factor: 6.937

9.  The influence of sex, handedness, and washing on the diversity of hand surface bacteria.

Authors:  Noah Fierer; Micah Hamady; Christian L Lauber; Rob Knight
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-12       Impact factor: 11.205

Review 10.  The rhizosphere microbiome and plant health.

Authors:  Roeland L Berendsen; Corné M J Pieterse; Peter A H M Bakker
Journal:  Trends Plant Sci       Date:  2012-05-05       Impact factor: 18.313

View more
  8 in total

1.  Composition and function of rhizosphere microbiome of Panax notoginseng with discrepant yields.

Authors:  Mengzhi Li; Zhongjian Chen; Jun Qian; Fugang Wei; Guozhuang Zhang; Yong Wang; Guangfei Wei; Zhigang Hu; Linlin Dong; Shilin Chen
Journal:  Chin Med       Date:  2020-08-10       Impact factor: 5.455

2.  Exploring the global research trends in biofertilizers: a bibliometric approach.

Authors:  Praveen Koovalamkadu Velayudhan; Alka Singh; Aditya Korekallu Srinivasa
Journal:  3 Biotech       Date:  2021-05-31       Impact factor: 2.893

3.  Control of Fusarium wilt by wheat straw is associated with microbial network changes in watermelon rhizosphere.

Authors:  Lili Tang; Ye Xia; Chao Fan; Jinming Kou; Fengzhi Wu; Wenhui Li; Kai Pan
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

4.  Rs-198 Liquid Biofertilizers Affect Microbial Community Diversity and Enzyme Activities and Promote Vitis vinifera L. Growth.

Authors:  Huadan Lu; Zhansheng Wu; Wenfei Wang; Xiaolin Xu; Xiaochen Liu
Journal:  Biomed Res Int       Date:  2020-06-18       Impact factor: 3.411

5.  Streptomyces strains modulate dynamics of soil bacterial communities and their efficacy in disease suppression caused by Phytophthora capsici.

Authors:  Abbasi Sakineh; Spor Ayme; Sadeghi Akram; Safaie Naser
Journal:  Sci Rep       Date:  2021-04-29       Impact factor: 4.379

Review 6.  How to improve CHMs quality: Enlighten from CHMs ecological cultivation.

Authors:  Pei Cao; Gang Wang; Xue-Min Wei; Shi-Lin Chen; Jian-Ping Han
Journal:  Chin Herb Med       Date:  2021-04-21

7.  Microbial inoculants and garbage fermentation liquid reduced root-knot nematode disease and As uptake in Panax quinquefolium cultivation by modulating rhizosphere microbiota community.

Authors:  Pei Cao; Xuemin Wei; Gang Wang; Xiaochen Chen; Jianping Han; Yuan Li
Journal:  Chin Herb Med       Date:  2021-11-24

8.  Biofertilizers can enhance nitrogen use efficiency of sugarcane.

Authors:  Zhiguang Qiu; Chanyarat Paungfoo-Lonhienne; Jun Ye; Axa Gonzalez Garcia; Ian Petersen; Lawrence Di Bella; Richard Hobbs; Minka Ibanez; Marijke Heenan; Weijin Wang; Steven Reeves; Susanne Schmidt
Journal:  Environ Microbiol       Date:  2022-05-06       Impact factor: 5.476

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.