Skip to main content
Download PDF

Effects of planting of two common crops, Allium fistulosum and Brassica napus, on soil properties and microbial communities of ginseng cultivation in northeast China

BMC Microbiology volume 22, Article number: 182 (2022) Cite this article

Abstract

Background

Long-term cultivation of ginseng can cause severe crop disorders and soil sickness. Crop rotation is an effective agricultural management measure to improve soil sustainability and decrease pathogens. However, the suitable ginseng rotation system and the changes in soil microbial community and soil characteristics under the rotation system need to be further explored.

Methods

To explore suitable ginseng crop rotation systems and improve soil utilization, Allium fistulosum and Brassica napus were planted on ginseng cultivation soil for one year. The effects of the two crops on the chemical properties and enzyme activities of the ginseng cultivation soil were evaluated by chemical analysis. In addition, amplicon sequencing targeting 16 s rDNA genes of bacteria and ITS of fungi has been used to characterize the functional and compositional diversity of microbial communities.

Results

The results elucidated that the levels of available phosphorus (AP) and available potassium (AK) in the soil increased significantly after one year of cultivation for both crops and Allium fistulosum cultivation may also have reduced soil salinity. In addition, the effects of the two crops on the activities of key soil enzymes were different. Catalase (CAT), urease (URE), and acid phosphatase (A-PHO) activities were significantly reduced and sucrase (SUC), and laccase (LAC) activities were significantly increased after Allium fistulosum planting. While A-PHO activity was significantly increased and LAC activity was significantly decreased after Brassica napus planting. Allium fistulosum significantly reduced the abundance of soil fungal communities. The cultivation of Allium fistulosum and Brassica napus significantly altered the composition of soil bacterial and fungal communities, where changes in the abundance of dominant microorganisms, such as Ascomycota, and Mortierellomycota, etc., were closely related to soil chemistry and enzyme activity. Moreover, both significantly reduced the abundance of the pathogenic fungus Ilyonectria.

Conclusions

Our study clarified the effects of Allium fistulosum and Brassica napus on the microbial community and physicochemical properties of ginseng cultivated soil and provides a basis for the sustainable application of ginseng cultivation soil and the development of ginseng crop rotation systems.

Peer Review reports

Introduction

Ginseng (Panax ginseng Meyer) is a perennial herb of the Acanthopanax family, known as “the king of all herbs” because of its high medicinal value [1]. It is mainly grown in northeast China, Korea, and Japan and has become one of the most popular herbal medicines globally [2, 3]. However, ginseng cultivation is difficult because ginseng is a shade-loving crop, and it takes a long period (usually 4–5 years) to produce the highly valued roots [4]. Furthermore, the long-term cultivation of ginseng has a significant impact on soil microbial community and soil physical and chemical properties, and ginseng is also adversely affected by allelopathy or self-toxicity in the growth process [5]. As a result, serious obstacles to continuous cropping appeared in ginseng cultivation, which limited the reseeding and reduced the yield, resulting in substantial economic losses [6]. To date, there is no feasible and effective way to deal with the continuous cropping obstacle of ginseng.

To ensure the sustainable and healthy development of the ginseng industry and avoid the waste of land resources, scholars have conducted much research on the microbial community and soil properties related to ginseng cultivation soil and have been exploring soil improvement methods and reasonable crop rotation systems after ginseng cultivation [7, 8]. Studies have shown that ginseng allelopathy is related to phenolic acids, saponins, and other substances secreted by ginseng roots, but it is not completely clear [9, 10]. Moreover, it is difficult for some crops to grow healthily in soil planted with ginseng due to the comprehensive changes (including decreased fertility, changes in microbial composition, and changes in physical and chemical properties) that occur after the planting of ginseng [11]. In China, forest destruction for ginseng cultivation has been banned due to land use requirements for agricultural production and forestry. It is of great significance to establish a ginseng rotation system and land resource utilization to find crops that can grow normally and have potential improvement effects on the soil after ginseng planting.

Scientific crop rotation can significantly enhance soil fertility, and the benefits generally vary with crop rotation species via root architectures and plant characteristics [12]. Crop rotation also significantly impacts soil organic matter and thus soil properties, especially over long periods of agricultural activity [13, 14]. Therefore, appropriate rotation can substantially improve soil quality to offer an effective solution for problems caused by soil sickness under long-term ginseng cultivation, maintaining land productivity while limiting negative side effects on the environment. In previous studies, scholars have tried to grow crops such as Zea mays, Gastrodia elata, Panax quiquefolium, and Taxus cuspidata in ginseng cultivation soil to alleviate the obstacles to continuous cropping, and field experiments of crop rotation combinations such as ginseng-Asarum europaeum and ginseng-Chelidonium majus have also been conducted [15,16,17,18,19]. The results showed that crop rotation in ginseng cultivation soils is beneficial to improving soil structure and restoring soil fertility, which laid the foundation for the study of continuous crop obstacles in ginseng cultivation soils. More importantly, ginseng crop disorders are mainly manifested by soil acidification and increased soil-borne diseases, so it is essential to investigate the effects of crop planting on the chemical properties and microbial communities (especially ginseng pathogens) of ginseng cultivation soils.

Allium fistulosum is an important allium genus plant, which is a delicious food plant and also has rich pharmacological activities [20]. Because of Allium fistulosum good adaptability to the environment, it is popular and widely grown in northeast China. Brassica napus is a widely edible vegetable in China. In addition, it is also one of the most important oil crops, an essential part of China's international trade, providing high quality edible vegetable oil for human beings [21, 22]. In northeast China, these two crops are often grown on the soil where ginseng has been cultivated. However, the effects of the two on the soil fertility, physical and chemical properties and microbial community after ginseng cultivation have not been reported. Therefore, it is necessary to investigate whether Allium fistulosum or Brassica napus can be used in crop rotation to improve the soil for ginseng cultivation.

In this study, the ginseng cultivation soil in the producing areas of ginseng genuine medicinal materials (Fusong County, Jilin Province, China) was selected as the research object, and the hypothesis that Allium fistulosum and Brassica napus rotation improved the ginseng cultivation soil was examined. The specific objectives were to (1) investigate the effects of Allium fistulosum and Brassica napus on ginseng cultivation soil physicochemical properties; (2) analysis the effects of Allium fistulosum and Brassica napus on ginseng cultivation soil microbial composition and function, and (3) evaluate the comprehensive influence of Allium fistulosum and Brassica napus on soil quality of ginseng cultivation. This study elucidated the effects of Allium fistulosum and Brassica napus on microbial communities and physicochemical properties in ginseng cultivated soils and provided a basis for the improvement of ginseng cultivated soils and the establishment of suitable ginseng crop rotation systems.

Results

Soil properties and nutrients

Soil properties were determined one year after Allium fistulosum and Brassica napus cultivation (Table 1). The pH values of both Allium fistulosum (AF) and Brassica napus (BN) groups were not significantly different compared to the control check (CK) group. The electrical conductivity (EC) values in the AF group were substantially lower than those in the CK group; in contrast, the EC values in the BN group were significantly higher than those in the CK group. In terms of soil nutrients, there were no significant differences in organic matter (OM) and available nitrogen (AN) levels among the three groups of soil samples (Table 1). The effects of cultivation of the two plants on the AP and AK of ginseng cultivation soil were different, and the AP and AK levels of soil samples in the AF group were significantly higher than those in the CK and BN groups, and the AP in the BN group was also lower than that in the CK group (Table 1). The above results suggest that the cultivation of different plants can have different effects on the soil properties and fast-acting nutrients of ginseng cultivation soil.

Table 1 Physicochemical properties, nutrient content and enzyme activities of the soil in different treatments
Full size table

Soil enzyme activities

We measured the activities of five critical enzymes in the soil after one year of Allium fistulosum and Brassica napus cultivation (Table 1). We found that the soil catalase (CAT) and urease (URE) activities in the AF group were significantly lower than those in the CK and BN groups. Meanwhile, there was no significant difference in CAT activity between the CK and BN groups, while the activity of URE in the BN group was significantly higher than in the CK group. The acid phosphatase (A-PHO) activity was significantly lower in the AF and BN groups than in the CK group, and it was also lower in the BN group than in the AF group. In contrast, the sucrase (SUC) and laccase (LAC) activities were significantly higher in the AF and BN groups than in the CK group, with the LAC in the AF group being even higher than that in the BN group.

Microbial diversity and richness

To assess the effect of Allium fistulosum and Brassica napus cultivation on the diversity and richness of microorganisms in ginseng cultivation soil, we calculated alpha diversity indices for each group of soil samples. We compared five alpha diversity indices (Coverage, Chao, ACE, Shannon, and Simpson index) for each group of soil bacterial communities. Coverage is an estimate of sampling completeness, the Chao and Ace indices reflect microbial community richness, and the Simpson and Shannon indices are commonly used to assess community diversity [23,24,25,26]. Interestingly, there were no significant differences between the individual index for all samples (Table 2). This result indicates that the cultivation of Allium fistulosum and Brassica napus did not have a significant effect on the diversity and abundance of bacterial communities in ginseng cultivation soil.

Table 2 Soil bacterial and fungal alpha diversity in different treatments. Error represents the standard deviation; different letters indicate a significant difference at the P < 0.05 level
Full size table

In terms of fungi, there were no significant differences in Shannon, Simpson, and coverage indices between the groups. Whereas the ace and Chao indices of fungal communities were significantly lower in the AF group compared to the CK group, there was no difference in the BN group compared to it (Table 2). The above results then indicate that the cultivation of both plants had no significant effect on the diversity of soil fungal communities in ginseng cultivation, but the cultivation of Allium fistulosum may have significantly reduced the richness of soil fungal communities.

Microbial community composition and structure

To analyze the composition of soil microbial communities in each group, we counted the relative abundance of bacterial and fungal communities at the phylum level and genus level in each group. The relative abundance at the bacterial phylum level showed that Actinobacteria (30.60%) were the dominant phylum, followed by Proteobacteria (26.59%) and Acidobacteriota (11.50%) (Fig. 1A). The results of the analysis of the differences between bacterial groups at the level of each phylum are shown in Fig. S1, and no differences were found among the three groups for the main bacterial phylum. The most abundant bacterial at the genus level were Candidatus Udaeobacter (6.80%), followed by norank-o-Gaiellales (6.14%) and Gaiella (3.43%) (Fig. 1C).

Fig.1
figure 1

Relative abundances of (A) bacterial and (B) fungal phylum level and (C) bacterial and (D) fungal genus level in different treatments

Full size image

In terms of fungi, the highest relative abundance at the phylum level was found in Ascomycota (64.70%), followed by Basidiomycota (15.68%) and Mortierellomycota (15.61%) (Fig. 1B). Significant analysis of the differences between groups is shown in Fig. S2, where we found significant differences in the relative abundance of Ascomycota, with the BN group having the highest relative abundance, followed by the AF and CK groups. At the genus level, the highest relative abundance was found for Mortierella (15.45%), followed by Cladosporium (11.20%) and Trichocladium (8.07%) (Fig. 1D).

Principal components analysis (PCA) and ANOSIM at the OTU level clearly distinguished between soil bacterial (R = 0.4606, P = 0.001) and fungal (R = 0.5880, P = 0.001) communities in different groups (Fig. 2). The first two axes (PC1 and PC2) explained 78.45% and 8.21% in the bacterial community, respectively (Fig. 2A). The PCA of the fungal community was variance explained by PC1 and PC2 for 85.49% and 6.43%, respectively (Fig. 2B).

Fig. 2
figure 2

PCA of (A) bacterial and (B) fungal communities in different treatments

Full size image

Abundance of ginseng pathogens

Here, we analyzed the abundance of these two major ginseng pathogenic fungi of the genera Ilyonectria and Fusarium in each group of soil samples. As shown in Fig. 3A, the cultivation of Allium fistulosum and Brassica napus significantly reduced the abundance of Ilyonectria in ginseng cultivation soil. In contrast, the Fusarium abundance in the AF and BN groups was not significantly different compared to the CK group (Fig. 3B).

Fig. 3
figure 3

Relative abundances of (A) Ilyonectria and (B) Fusarium. Error represents the standard deviation; different letters indicate a significant difference at the P < 0.05 level

Full size image

Biomarker microbes

Biomarker microbes were identified by LEfSe analysis for the microbial lineages from phylum to genus in different groups (LDA > 4). A total of 7 significant difference taxa were obtained in the CK group, including the phylum Chloroflexi, the phylum Verrucomicrobiota and the family Xanthobacteraceae (Fig. 4A). The significant different bacterial taxa of the AF group are order Rhizobiales and order Gaiellales (Fig. 4A). Furthermore, the significant difference bacterial taxa of the BN group are the class Gammaproteobacteria (including the order Burkholderiales) and the class Actinobacteria (including the order Micrococcales) (Fig. 4A).

Fig. 4
figure 4

LEfSe analysis of (A) bacterial and (B) fungal communities in different treatments

Full size image

For fungi, the significantly different taxa in the CK group were the phylum Mortierellomycota, the class Agaricomycetes, and the order Sordariales (Fig. 4B). The significantly different fungi taxa of the AF group are the class Leotiomycetes (including the order Helotiales and the family Sclerotiniaceae) (Fig. 4B). The significantly different fungi taxa of the BN group are the phylum Ascomycota (including the class Dothideomycetes and the order Glomerellales) (Fig. 4B). The LDA results for each group of bacterial and fungal communities are shown in Fig. S3 and Fig. S4, respectively.

Relationship between Microbial community structure and soil properties

Distance-based redundancy analysis (db-RDA) was used to analyze the binding contributions of soil chemical properties and soil enzyme activities to bacterial and fungal communities. The first two axes of the db-RDA model accounted for 48.14% and 47.85% of the total variance in the bacterial and fungal communities, respectively (Fig. 5A, B). Among these factors, EC and AP were the key chemical factors influencing the soil bacteria community. The degree of influence of chemical factors on the bacterial community was as follows: AP (R2 = 0.8994, P = 0.001) > EC (R2 = 0.8082, P = 0.003). In addition, the production rate and activity of soil enzymes are affected by microorganisms. In the db-RDA analysis results, URE activity may be significantly correlated with the bacterial community (R2 = 0.5076, P = 0.005) (Table S1). On the other hand, the db-RDA result showed that EC, AP, and AK were the dominant chemical factors influencing the fungal community. The degree of their influence is as follows: AP (R2 = 0. 0.9689, P = 0.001) > EC (R2 = 0.9033, P = 0.001) > AK (R2 = 0.4822, P = 0.048). In addition, the activity of three enzymes, including URE (R2 = 0. 7274, P = 0.003), A-PHO (R2 = 0. 7092, P = 0.005) and LAC (R2 = 0.5819, P = 0.016), may be significantly affected by the fungal community (Table S2).

The correlations between soil bacteria community at phylum levels and soil physicochemical characteristics and enzyme activities are shown in Fig. 5C. The abundance of bacteria phylum Actinobacteriota was significantly negatively correlated with the pH (P < 0.05) and A-PHO (P < 0.05). The abundance of Verrucomicrobiota was significantly negatively correlated with the EC (P < 0.05) and significantly positively correlated with the AP (P < 0.05) and A-PHO (P < 0.05). In terms of fungi, the abundance of Ascomycota was positively correlated with EC (P < 0.05) and SUC (P < 0.05) and negatively correlated with A-PHO (P < 0.01). Basidiomycota was negatively correlated with CAT (P < 0.05). Mortierellomycota was negatively correlated with LAC (P < 0.05) and SUC (P < 0.001), and positively correlated with A-PHO (P < 0.001) (Fig. 5D).

Predictive analysis of Microbial community function

The OTUs abundance was normalized by PICRUSt, and the OTUs were annotated with KEGG functions to obtain the annotation information of OTUs at each KEGG function level and the abundance information of each function in different groups [27]. There are six primary functional layers (Cellular Processes, Environmental Information Processing, Genetic Information Processing, Human Diseases, Metabolism, and Organismal Systems) (Fig. 6). Also, there are 41 secondary functional layers (Table S3). Four of the six primary functional layers were significantly higher in AF than in the BN group, including Cellular Processes, Genetic Information Processing, Metabolism, and Organismal Systems (Fig. 6).

Fig. 5
figure 5

db-RDA analysis of (A) bacterial and (B) fungal and Pearson's correlation analysis of (C) bacterial and (D) fungal bacterial with soil variables. “*”, “**”, and “***” indicate a significant difference at the P < 0.05, P < 0.01 and P < 0.001 level, respectively.

Full size image

We used FunGuild to classify fungi, classifying the fungus OTUs into specific trophic groups and further subdividing it into specific ecological guilds [28, 29]. The guilds identified in this study are listed in Fig. 7. The cultivation of Allium fistulosum and Brassica napus changed the fungal function of ginseng cultivation soil. The fungal functional guilds with significant differences among each group are shown in Fig. S5, with substantial differences in the six guilds of Plant Pathogen, Endophyte-Litter Saprotroph-Soil Saprotroph-Undefined Saprotroph, Wood Saprotroph, Plant Pathogen-Wood Saprotroph, Ericoid Mycorrhizal, and Litter Saprotroph-Plant Pathogen after one year of cultivation of the two crops.

Fig. 6
figure 6

Bacterial function prediction of ginseng cultivation soil in different groups (hierarchy level 1). different letters indicate a significant difference at the P < 0.05 level

Full size image
Fig. 7
figure 7

Normalized relative abundance of assigned fungal functional guilds. “*” indicate a significant difference at the P < 0.05 level

Full size image

Discussion

Multi-year cultivation of ginseng can lead to severe soil sickness, which in turn affects the sustainable application of the soil. Crop rotation is an effective agricultural management measure to alleviate soil sickness and improve soil application. Against the background that deforestation for ginseng cultivation is prohibited and the soil suitable for ginseng cultivation is limited, finding suitable crop rotation strategies has become an essential task for the sustainable development of the ginseng industry and improving soil utilization. In this study, we conducted one-year cultivation of Allium fistulosum and Brassica napus on ginseng cultivation soil in northeast China to analyze the effects of these two crops on the soil microbial and physicochemical properties.

Allium fistulosum and Brassica napus Affected the physicochemical characteristics and enzymatic activities of ginseng cultivation soil.

A variety of environmental factors are important indicators for evaluating soil quality [30]. A suitable pH is conducive to the growth of soil microorganisms [31]. Long-term ginseng cultivation lowers soil pH, leading to soil acidification. In addition, soil salinization is also a significant feature of soil degradation [32]. In our results, the one-year cultivation by Allium fistulosum and Brassica napus did not significantly change the pH of the ginseng cultivation soil. Usually, the higher the EC value, the more salinity there is in the soil, and the accumulation of salinity will lead to soil salinization [33]. However, we found that the cultivation of the two crops had different effects on soil EC (Allium fistulosum cultivation significantly decreased EC while Brassica napus significantly increased it). This means that Allium fistulosum reduces salinization in ginseng cultivation soil, while the opposite is true for Brassica napus. The possible reason is that the two crops (especially the roots) have different preferences for salt ions. Thus, leading to differences in the status and accumulation of salt ions (such as sodium) between the rhizosphere of different crops. Different plant species influence soil physicochemical properties through soil nutrient selectivity and/or chemosensory effects on soil microbial activity and abundance, thus affecting soil nutrient changes [34, 35]. Our study found that Allium fistulosum cultivation significantly increased the AP and AK of ginseng cultivation soil. Meanwhile, the AP of soils after Brassica napus cultivation was significantly lower than that of untreated ginseng cultivation soil. These results may be due to the different nutrient requirements of the two crops and the different effects of the two on soil microorganisms, which may also lead to differences in soil material cycling.

Several studies have shown that crop rotation can improve soil enzyme activity [36, 37]. In this study, Allium fistulosum cultivation reduced the activity of CAT, URE, and A-PHO in ginseng cultivation soil but increased the activity of SUC and LAC. The cultivation of Brassica napus had no significant effect on CAT activity but increased the activity of URE, SUC, and LAC and decreased the activity of A-PHO. Plants can alter nutrient cycling and energy metabolism by changing soil enzyme activity [38]. Moreover, soil enzyme activity is significantly and positively correlated with soil nutrient effectiveness [39]. Different soil enzymes have different effects on nutrient cycling [40]. CAT catalyzes the decomposition and transformation of peroxides, eliminating their adverse effects on soil health [41]. URE catalyzes the hydrolysis of urea and plays an essential role in soil N cycling [42]. The absorption and utilization of organic phosphorus in soil by crops require the action of PHO [43]. Soil SUC catalyzes the release of fructose and glucose from sucrose to provide a carbon source for plants and microorganisms, while LAC has an essential role in forming soil humus and organic matter [44, 45]. This result shows that the cultivation of Allium fistulosum and Brassica napus may positively affect the carbon cycle of ginseng cultivation soil. In addition, it is worth noting that, unlike most previous crop rotation studies, the effects of Allium fistulosum planting on soil enzymes of ginseng cultivation were not all positive. Allium fistulosum planting may have a potentially negative effect on soil nitrogen and phosphorus cycling and may also reduce the mitigation process of the toxic effects of hydrogen peroxide in the soil.

Allium fistulosum and Brassica napus affected the microbial communities of ginseng cultivation soil.

Plants regulate the activity of soil microorganisms through allelopathy and extension [46]. Therefore, different plant species usually recruit microbial groups. The diversity and richness of soil microorganisms after one year of Allium fistulosum and Brassica napus planting were analyzed by comparison of alpha diversity indices. Our results indicate that the cultivation of Allium fistulosum had no significant effect on the diversity and richness of soil bacterial communities but may have significantly reduced the richness of soil fungal communities. At the same time, one year of Brassica napus cultivation did not contribute to the diversity and richness of microorganisms in ginseng cultivation soil.

The bacterial phyla with high relative abundance in the three groups of soil samples were Actinobacteriota, Proteobacteria, and Acidobacteriota. These three bacterial phyla have critical ecological functions in the soil. It has been reported that the phylum Actinobacteriota contains a variety of OM-degrading bacteria that can maintain high levels of carbon sources in the soil, which is essential for the soil carbon cycle [47]. The Proteobacteria phylum has a strong metabolic diversity, and its members are essential for nutrient cycling in the soi [48]. Moreover, the Acidobacteriota phylum can degrade OM in the apoplast, which has a positive effect on maintaining an effective supply of nutrients to the soil [49]. In our study, the relative abundance of the three groups of major soil bacterial phyla did not differ significantly, suggesting that Allium fistulosum and Brassica napus cultivation may not have a significant effect on the composition of soil bacteria at the phylum level in ginseng cultivation.

At the fungal phylum level, there was a significant effect of Allium fistulosum and Brassica napus cultivation on the abundance of the major fungal phyla Ascomycota and Mortierellomycota in ginseng cultivation soil. In previous studies, Ascomycota and Mortierellomycota, as saprophytic fungi, played dominant roles in the decomposition of soil OM [50]. Interestingly, the changes in the abundance of Ascomycota and Mortierellomycota were reversed after one year of planting for both plants (Ascomycota abundance increased and Mortierellomycota abundance decreased). This may indicate that Ascomycota is more suitable for ginseng cultivation soil under both plant cultivation compared to Mortierellomycota.

In addition, attention was paid to the microbial composition of the three groups of soil samples at the genus level. We found that Allium fistulosum and Brassica napus plantings had significant effects on the genus level of soil microorganisms, no matter bacteria or fungi. Among them, we noted changes in the abundance of two important ginseng pathogenic fungal genera, Ilyonectria and Fusarium. The accumulation of pathogenic fungi in the soil is one of the main factors of ginseng continuous cropping obstacle and soil sickness. Ilyonectria and Fusarium are two important pathogenic fungi in the ginseng growth process, which can cause a variety of ginseng diseases [51, 52]. In our study, the abundance of Ilyonectria in ginseng cultivation soil was significantly reduced after one year of Allium fistulosum and Brassica napus cultivation, but the abundance of Fusarium was not significantly changed. Ilyonectria has been shown to produce specific metabolites, such as resorcylic acid lactones, to affect the plant immune system [53]. Therefore, the cultivation of both crops may reduce the accumulation of harmful plant substances in the ginseng cultivated soil, leading to increased soil health.

The composition of the bacterial and fungal communities was analyzed using the LEfSe tool to identify specific taxa in the different treatment groups [54]. In our results, both Allium fistulosum and Brassica napus produced their own significantly different taxa after one year of planting. These results further suggest that Allium fistulosum and Brassica napu cultivation may affect multiple taxa below the phylum level. The significant differences in soil microbial community composition of ginseng cultivation after different plant cultivation suggest the importance of plant rotation selection. The PCA and ANOSIM analysis results in this study provide ample evidence that Allium fistulosum and Brassica napus caused profound changes in the composition and structure of microbial communities in ginseng cultivation soil. In short, the cultivation of Allium fistulosum and Brassica napus for one year resulted in significant changes in the microbial community of the ginseng cultivation soil. Cultivation of Allium fistulosum and Brassica napus may alter soil material cycling and energy flow by changing the abundance of certain microbial taxa. The two crops do not have the same impact on the microbial community, which is related to their different allelopathy due to their different metabolic characteristics. Further, although the ecological functions of some of the microbial taxa that changed significantly after the cultivation of both crops are not known, the soil microbial network previously formed as a result of ginseng cultivation may have been altered, which could be beneficial for soil health as well as ecosystem sustainability [55].

Correlations between microbial community structure and soil properties

There are close interactions between soils, microorganisms, and plants [56, 57]. The db-RDA results showed that the contribution of soil properties to the alteration of bacterial and fungal community composition was 48.14% and 47.85%, respectively. At the same time, it also revealed the dominant soil environmental factors in the construction of soil microbial community structure of ginseng cultivation. Pearson correlation analysis showed that soil variables such as pH, EC, AP, and multiple soil enzyme activities were significantly positively or negatively correlated with dominant bacterial and fungal phyla. Actinobacteriota showed a significant negative correlation with pH and A-PHO. Verrucomicrobiota showed a positive correlation with AP and A-PHO and a negative correlation with EC. In addition, Chloroflexi was significantly and positively correlated with A-PHO and negatively correlated with LAC and SUC. These results suggest that some critical chemical factors have important effects on bacteria communities in ginseng cultivation soil. Moreover, some soil enzymes, especially A-PHO, may be affected by the bacterial community. Chemical factors (EC, AP) and soil enzymes (CAT, LAC, A-PHO, and SUC) were significantly correlated with the fungal dominance phylum. In particular, Mortierellomycota and Ascomycota were strongly correlated with the activities of several soil key enzymes. In a word, different microorganisms are not equally sensitive to environmental factors. One year after Allium fistulosum and Brassica napus cultivation, some dominant bacteria and fungi in the soil were closely related to soil nutrients, chemical properties, and key enzyme activities. Further research is of great significance to the improvement of ginseng cultivation soil, the sustainability of ginseng production, and the maintenance of the soil environment.

Conclusions

To explore the sustainable application of ginseng cultivation soil and an effective ginseng rotation system, we investigated the effects of Allium fistulosum and Brassica napus cultivation on the physicochemical properties and microbial communities of ginseng cultivation soil. The results showed that the chemical properties and soil microbial communities of ginseng cultivation soil changed significantly after one year of cultivation of both plants. Allium fistulosum cultivation increased soil AP and AK and decreased soil EC. While Brassica napus significantly reduced AP and also increased soil EC. Overall, Allium fistulosum improved soil nutrients and reduced salinization in ginseng cultivation soil, while Allium fistulosum cultivation increased SUC and LAC and reduced CAT, URE, and A-PHO. Brassica napus had no significant effect on soil bacterial and fungal community richness and diversity. Cultivation of Allium fistulosum and Brassica napus significantly altered soil microbial community composition, and these microbial alterations were associated with soil nutrient cycling. Moreover, both plants reduced the abundance of the ginseng pathogenic fungus Ilyonectria. Further studies should focus on soil enzyme activities as well as root exudate characteristics.

Materials and methods

Experimental site

The study field was located in Fusong County, Jilin Province, China (42.40′ N and 127.09′ E), and is one of the ginseng genuine medicinal production areas. The study field has a typical temperate monsoon climate with an altitude of 410 m. The average annual temperature and annual rainfall are 4 °C and 800 mm, respectively. Also, the site has an annual frost-free period of 120 days.

Experimental design and sample collection

Ginseng was cultivated in the field for four years, from 2017 to 2020. Detailed information on fertilizer and pesticide application during ginseng cultivation was provided in the supplementary data. The pesticides were applied strictly according to the “ginseng safe production technical specification of pesticide application (DB22/T 1233–2019)”. After ginseng was collected in 2020, 12 plots of 10 square meters were divided, with 0.5 m intervals between adjacent plots.

There was a total of 3 treatments performed, each with 4 plots, including the CK group (ginseng cultivation soil without any treatment), AF group (cultivation of Allium fistulosum), and BN group (cultivation of Brassica napus). Allium fistulosum and Brassica napus seeds are purchased from Shouhe seeds Co. LTD (Shandong, China) and planted separately on the plots that had been divided. All crops were planted simultaneously and irrigated to ensure their survival during the beginning of the growing period. The crops were cultivated for one year, and no fertilization or other artificial intervention was used except weeding in all experimental plots.

After Allium fistulosum and Brassica napus had been grown for one year, soil samples were collected using a soil corer from each plot. All samples were collected on August 6, 2021. Here, five randomly collected soils (collected at a depth of 0–20 cm) in each plot were then mixed as one soil sample. A total of twelve soil samples were eventually obtained, four from each group. All soil samples are passed through a 2 mm sieve to remove stones, litter, and plant roots. Subsequently, each sample was then divided into two parts: one stored at 4 °C for analyzing the chemical and physical properties of the soil, and the other stored at -80 °C for microbial community analysis.

Chemical analysis of the soil samples

The soil pH was measured at a soil: water ratio of 1:2.5 (w/v) using a PHS-3C pH meter (Leici, Shanghai, China). The soil EC was measured at a soil: water ratio of 1:5 (w/v) using a DDSJ-318 conductivity meter (Leici, Shanghai, China).

Soil OM was measured by the potassium dichromate oxidation-external heating method [58]. Soil AN was analyzed using the alkaline hydrolysis method [59]. Soil AP was determined by the NaHCO3 extraction molybdenum antimony colorimetry method [60]. Soil AK was determined by the NH4OAc extraction fame photometric method [61].

Enzyme activity of soil samples

The activities of soil URE, A-PHO, SUC, CAT, and LAC were measured. The soil URE activity was determined by indophenol blue colorimetry; the A-PHO activity was determined by disodium phenyl phosphate colorimetry method; the SUC activity was determined by 3,5-dinitrosalicylic acid colorimetry; the activity of CAT was determined by KMnO4 titration; the LAC activity was determined by ABTS colorimetry [62, 63].

DNA extracting and sequencing

In order to study the diversity and structure of soil bacterial and fungal communities, high-throughput sequencing of bacterial 16S ribosomal RNA (rRNA) gene and the Internal Transcribed Spacer (ITS) regions of the fungal gene was carried out on the Illumina MiSeq platform (Illumina, San Diego, USA). According to the manufacturer’s instruction, the bacterial and fungal DNA from 0.5 g of fresh soil samples was extracted using the E.Z.N.A. soil DNA Kit (Omega Bio-Tek, Norcross, GA, USA). The final DNA concentration and purification were evaluated by a NanoDrop 2000 UV − vis spectrophotometer (Thermo Scientific, Wilmington, USA), and DNA quality was checked by agarose gel electrophoresis.

The bacterial 16S rRNA genes and the fungal ITS rRNA genes were amplified respectively, and the primer information was as follows: 16S V3-V4 region primers were 338F (5′-ACTCCTACGGGAGGCAGCAG-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′); ITS region genes primers were ITS1F (5′-CTTGGTCATTTAGAGGAAGTAA-3′) and ITS2R (5′-GCTGCGTTCTTCATCGATGC-3′) [64, 65]. The PCR reaction system (20 μL) contained 5 × FastPfu buffer (4 μL), 2.5 mM dNTPs 2 μL, 5 μM primers (0.8 μL), FastPfu DNA polymerase (0.4 μL) and DNA template (1 μL, approximately 10–20 ng soil DNA). The PCR thermocycler program was conducted as follows: denaturation at 95 ℃ for 3 min, followed by 27 (16S V3-V4) or 35 (ITS) cycles at 95 ℃ for 30 s, 55 ℃ for 30 s, 72 ℃ for 45 s, and a final extension at 72 ℃ for 10 min. Then, the mixture of PCR products was extracted from a 2% agarose gel and further purified using the AxyPrep DNA Gel Extraction Kit (Axygen Biosciences, Union City, CA) [66]. Finally, sequencing was performed by Shanghai Majorbio Bio-pharm Biotechnology Co., Ltd. (Shanghai, China). The sequencing data have been uploaded to the National Center for Biotechnology Information (NCBI) database (Bacterial Accession Number: PRJNA821666; Fungal Accession Number: PRJNA821728).

Bioinformatic analysis

Raw sequencing data were filtered to obtain high-quality reads with the QIIME (version 1.9.1, http://qiime.org/install/index) [67]. A total of 2.682.557 effective sequences of bacteria and 2.183.864 effective sequences of fungal were obtained from 12 soil samples of 3 groups. These sequences were clustered into different operational taxonomic units (OTUs) using UPARSE (version 7.1, http://www.drive5.com/uparse/) with > 97% sequence similarity [68]. The SILVA (http://www.arbsilva.de) and UNITE (http://unite.ut.ee/index.php) databases were selected as reference databases for analyses of bacterial and fungal taxonomies respectively, with a 70% confidence threshold [69].

To evaluate the coverage, richness, and diversity of soil microbial communities, we calculated the alpha diversity index, including Coverage, Chao1, ACE, Shannon, and Simpson, using Mothur (version 1.30.1) [70]. PCA at the OTU level was used to evaluate the differences in microbial communities between groups. Then, the indicator microbes of each group were found by linear discriminant analysis effect size (Lefse) analysis. The correlation between microbial community and soil variables was analyzed by db-RDA. Here, clustering analysis, PCA, Lefse, and db-RDA are performed on the free online Majorbio Cloud Platform (https://cloud.majorbio.com/).

PICRUSt predicted the soil bacterial function from 16S rRNA markers gene sequences, and the biological functions were annotated in the KEGG database [27]. In addition, the FUNGuild tool was used for the functional prediction and classification of soil fungi [29].

Statistical analysis

Statistical analysis of the differences in soil properties and soil microbial alpha diversity was conducted by SPSS (version 19.0, Chicago, Illinois, USA). One-way ANOVA was used to identify significant differences among means, and a p < 0.05 was considered to indicate significance.

Availability of data and materials

The sequencing data generated and analysed during the current study are available in the NCBI Sequence Read Archive database (https://www.ncbi.nlm.nih.gov/), Accession Number: PRJNA821666 and PRJNA821728.

References

  1. Ratan ZA, Haidere MF, Hong YH, Park SH, Lee J-O, Lee J, et al. Pharmacological potential of ginseng and its major component ginsenosides. J Ginseng Res. 2021;45(2):199–210.

    Article  Google Scholar 

  2. Proctor JTA, Bailey WG. Ginseng: industry, botany, and culture. In: Horticultural Reviews. 1987. p. 187–236.

    Google Scholar 

  3. Yu T, Yang Y, Kwak Y-S, Song GG, Kim M-Y, Rhee MH, et al. Ginsenoside Rc from Panax ginseng exerts anti-inflammatory activity by targeting TANK-binding kinase 1/interferon regulatory factor-3 and p38/ATF-2. J Ginseng Res. 2017;41(2):127–33.

    Article  Google Scholar 

  4. Parvin S, Lee OR, Sathiyaraj G, Khorolragchaa A, Kim Y-J, Yang D-C. Spermidine alleviates the growth of saline-stressed ginseng seedlings through antioxidative defense system. Gene. 2014;537(1):70–8. https://doi.org/10.1016/j.gene.2013.12.021.

    Article  CAS  PubMed  Google Scholar 

  5. Tong A-Z, Liu W, Liu Q, Xia G-Q, Zhu J-Y. Diversity and composition of the Panax ginseng rhizosphere microbiome in various cultivation modesand ages. BMC Microbiol. 2021;21(1):18. https://doi.org/10.1186/s12866-020-02081-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Fang X, Wang H, Zhao L, Wang M, Sun M. Diversity and structure of the rhizosphere microbial communities of wild and cultivated ginseng. BMC Microbiol. 2022;22(1):2. https://doi.org/10.1186/s12866-021-02421-w.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Lee SW, Lee SH, Park KH, Lan JM, Jang IB, Kim KH. Inhibition effect on root rot disease of Panax ginseng by crop cultivation in soil occurring replant failure. Korean J Med Crop Sci. 2015;23(3):223–30.

    Article  Google Scholar 

  8. Li T, Choi K, Jung B, Ji S, Kim D, Seo MW, et al. Biochar inhibits ginseng root rot pathogens and increases soil microbiome diversity. Appl Soil Ecol. 2022;169: 104229. https://doi.org/10.1016/j.apsoil.2021.104229.

    Article  Google Scholar 

  9. Gong J, Li K, Sun M, Liu H, Zhang Z. Allelopathy and soil sickness in continuous cropping of Panax medicinal plants. Allelopath J. 2016;39(1):1–18.

    Google Scholar 

  10. Zhan Y, Wang E, Wang H, Chen X, Meng X, Li Q, et al. Allelopathic effects of ginsenoside on soil sickness, soil enzymes, soil disease index and plant growth of Ginseng. Allelopath J. 2021;52(2):251–9.

    Article  Google Scholar 

  11. You J, Liu X, Zhang B, Xie Z, Hou Z, Yang Z. Seasonal changes in soil acidity and related properties in ginseng artificial bed soils under a plastic shade. J Ginseng Res. 2015;39(1):81–8. https://doi.org/10.1016/j.jgr.2014.08.002.

    Article  CAS  PubMed  Google Scholar 

  12. Gardner M, Sarrantonio M. Cover crop root composition and density in a long-term vegetable cropping system trial. J Sustain Agric. 2012;36(6):719–37.

    Article  Google Scholar 

  13. Gomiero T, Pimentel D, Paoletti MG. Environmental impact of different agricultural management practices: conventional vs. organic agriculture. Crit Rev Plant Sci. 2011;30(1–2):95–124.

    Article  Google Scholar 

  14. Nair A, Ngouajio M. Soil microbial biomass, functional microbial diversity, and nematode community structure as affected by cover crops and compost in an organic vegetable production system. Appl Soil Ecol. 2012;58:45–55. https://doi.org/10.1016/j.apsoil.2012.03.008.

    Article  Google Scholar 

  15. Zhao H, Fu M, Zou J, Piao R. Research progress on improving soil of Panax ginseng. Chin Agric Sci Bull. 2012;28(21):12–5. https://doi.org/10.3969/j.issn.1000-6850.2012.21.003.

    Article  Google Scholar 

  16. Zhang J, Zhou D, Yuan X, Xu Y, Chen C, Zhao L. Soil microbiome and metabolome analysis reveals beneficial effects of ginseng–celandine rotation on the rhizosphere soil of ginseng-used fields. Rhizosphere. 2022;23: 100559. https://doi.org/10.1016/j.rhisph.2022.100559.

    Article  Google Scholar 

  17. Tan J, Liu J. Rotation cultivation of Asarum ginseng in farmland. Jilin Agricultural. 2004;6:25. https://doi.org/10.3969/j.issn.1674-0432.2004.06.026.

    Article  Google Scholar 

  18. Sun C, Yang S, Lou Z, Song X. Investigation report on the cultivation of Taxus chinensis in old ginseng field. Ginseng research. 1998;3:2–6.

    Google Scholar 

  19. Tian Y, Wang B. Establishment of short-term crop rotation technology system in old ginseng fields. J Jilin Agri Univ. 2002;24(3):46–9. https://doi.org/10.3969/j.issn.1000-5684.2002.03.013.

    Article  Google Scholar 

  20. Țigu AB, Moldovan CS, Toma V-A, Farcaș AD, Moț AC, Jurj A, et al. Phytochemical analysis and in vitro effects of Allium fistulosum L. and Allium sativum L. Extracts on human normal and tumor cell lines: a comparative study. Molecules. 2021;26(3):574.

    Article  Google Scholar 

  21. Wang X, Liu G, Yang Q, Hua W, Liu J, Wang H. Genetic analysis on oil content in rapeseed (Brassica napus L.). Euphytica. 2010;1:17–24.

    Article  Google Scholar 

  22. Li J, Duan Y, Sun N, Wang L, Feng S, Fang Y, et al. The miR169n-NF-YA8 regulation module involved in drought resistance in Brassica napus L. Plant Sci. 2021;313: 111062.

    Article  CAS  Google Scholar 

  23. Aldrete-Tapia A, Escobar-Ramírez MC, Tamplin ML, Hernández-Iturriaga M. High-throughput sequencing of microbial communities in Poro cheese, an artisanal Mexican cheese. Food Microbiol. 2014;44:136–41. https://doi.org/10.1016/j.fm.2014.05.022.

    Article  CAS  PubMed  Google Scholar 

  24. Shannon CE. A mathematical theory of communication. The Bell System Technical Journal. 1948;27(3):379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x.

    Article  Google Scholar 

  25. Simpson EH. Measurement of diversity. Nature. 1949;163(4148):688. https://doi.org/10.1038/163688a0.

    Article  Google Scholar 

  26. Li C, Quan Q, Gan Y, Dong J, Fang J, Wang L, et al. Effects of heavy metals on microbial communities in sediments and establishment of bioindicators based on microbial taxa and function for environmental monitoring and management. Sci Total Environ. 2020;749: 141555. https://doi.org/10.1016/j.scitotenv.2020.141555.

    Article  CAS  PubMed  Google Scholar 

  27. Gong X, Shi J, Zhou X, Yuan T, Gao D, Wu F. Crop rotation with cress increases cucumber yields by regulating the composition of the rhizosphere soil microbial community. Frontiers in Microbiology. 2021;12:631882. https://doi.org/10.3389/fmicb.2021.631882.

  28. Nguyen NH, Song Z, Bates ST, Branco S, Tedersoo L, Menke J, et al. FUNGuild: An open annotation tool for parsing fungal community datasets by ecological guild. Fungal Ecol. 2016;20:241–8. https://doi.org/10.1016/j.funeco.2015.06.006.

    Article  Google Scholar 

  29. Schmidt R, Mitchell J, Scow K. Cover cropping and no-till increase diversity and symbiotroph:saprotroph ratios of soil fungal communities. Soil Biol Biochem. 2019;129:99–109. https://doi.org/10.1016/j.soilbio.2018.11.010.

    Article  CAS  Google Scholar 

  30. Chen D, Duan Y, Jin Y, Yang Y, Yuan L. Soil quality and microbiology in response to fertilizations in a paddy-upland rotation with multiple crops and frequent tillage. Exp Agric. 2020;56(2):227–38. https://doi.org/10.1017/S0014479719000322.

    Article  Google Scholar 

  31. Stefanowicz AM, Stanek M, Nobis M, Zubek S. Few effects of invasive plants Reynoutria japonica, Rudbeckia laciniata and Solidago gigantea on soil physical and chemical properties. Sci Total Environ. 2017;574:938–46. https://doi.org/10.1016/j.scitotenv.2016.09.120.

    Article  CAS  PubMed  Google Scholar 

  32. Shi W-M, Yao J, Yan F. Vegetable cultivation under greenhouse conditions leads to rapid accumulation of nutrients, acidification and salinity of soils and groundwater contamination in South-Eastern China. Nutr Cycl Agroecosyst. 2009;83(1):73–84. https://doi.org/10.1007/s10705-008-9201-3.

    Article  CAS  Google Scholar 

  33. Ma T, Zeng W, Lei G, Wu J, Huang J. Predicting the rooting depth, dynamic root distribution and the yield of sunflower under different soil salinity and nitrogen applications. Ind Crops Prod. 2021;170: 113749. https://doi.org/10.1016/j.indcrop.2021.113749.

    Article  CAS  Google Scholar 

  34. Huangfu C, Li H, Chen X, Liu H, Wang H, Yang D. Response of an invasive plant, Flaveria bidentis, to nitrogen addition: a test of form-preference uptake. Biol Invasions. 2016;18(11):3365–80. https://doi.org/10.1007/s10530-016-1231-1.

    Article  Google Scholar 

  35. Xu H, Liu Q, Wang S, Yang G, Xue S. A global meta-analysis of the impacts of exotic plant species invasion on plant diversity and soil properties. Sci Total Environ. 2022;810: 152286. https://doi.org/10.1016/j.scitotenv.2021.152286.

    Article  CAS  PubMed  Google Scholar 

  36. Trasar-Cepeda C, Leirós MC, Seoane S, Gil-Sotres F. Biochemical properties of soils under crop rotation. Appl Soil Ecol. 2008;39(2):133–43. https://doi.org/10.1016/j.apsoil.2007.12.003.

    Article  Google Scholar 

  37. Wang H, Sheng Y, Jiang W, Pan F, Wang M, Chen X, et al. The effects of crop rotation combinations on the soil quality of old apple orchard. Horticultural Plant Journal. 2022;8(1):1–10. https://doi.org/10.1016/j.hpj.2021.04.010.

    Article  CAS  Google Scholar 

  38. Wei W, Zhu P, Chen P, Huang Q, Bai X, Ni G, et al. Mixed evidence for plant–soil feedbacks in forest invasions. Oecologia. 2020;193(3):665–76. https://doi.org/10.1007/s00442-020-04703-y.

    Article  PubMed  Google Scholar 

  39. Zhou Y, Staver AC. Enhanced activity of soil nutrient-releasing enzymes after plant invasion: a meta-analysis. Ecology. 2019;100(11): e02830.

    Article  Google Scholar 

  40. Saiya-Cork KR, Sinsabaugh RL, Zak DR. The effects of long term nitrogen deposition on extracellular enzyme activity in an Acer saccharum forest soil. Soil Biol Biochem. 2002;34(9):1309–15. https://doi.org/10.1016/S0038-0717(02)00074-3.

    Article  CAS  Google Scholar 

  41. Liu J, Shu A, Song W, Shi W, Li M, Zhang W, et al. Long-term organic fertilizer substitution increases rice yield by improving soil properties and regulating soil bacteria. Geoderma. 2021;404: 115287. https://doi.org/10.1016/j.geoderma.2021.115287.

    Article  CAS  Google Scholar 

  42. Cai Z, Li S, Zhang W, Ma J, Wang J, Cai J, et al. Effects of the novel pyrimidynyloxybenzoic herbicide ZJ0273 on enzyme activities, microorganisms and its degradation in Chinese soils. Environ Sci Pollut Res. 2015;22(6):4425–33. https://doi.org/10.1007/s11356-014-3674-1.

    Article  CAS  Google Scholar 

  43. Makoi JH, Ndakidemi PA. Selected soil enzymes: examples of their potential roles in the ecosystem. African J Biotech. 2008;7(3):181–91.

  44. Antonious GF. Impact of soil management and two botanical insecticides on urease and invertase activity. J Environ Sci Health B. 2003;38(4):479–88. https://doi.org/10.1081/PFC-120021667.

    Article  CAS  PubMed  Google Scholar 

  45. Zhu Y, Guo B, Liu C, Lin Y, Fu Q, Li N, et al. Soil fertility, enzyme activity, and microbial community structure diversity among different soil textures under different land use types in coastal saline soil. J Soils Sediments. 2021;21(6):2240–52. https://doi.org/10.1007/s11368-021-02916-z.

    Article  CAS  Google Scholar 

  46. Tamura M, Tharayil N. Plant litter chemistry and microbial priming regulate the accrual, composition and stability of soil carbon in invaded ecosystems. New Phytol. 2014;203(1):110–24.

    Article  CAS  Google Scholar 

  47. Samaddar S, Truu J, Chatterjee P, Truu M, Kim K, Kim S, et al. Long-term silicate fertilization increases the abundance of Actinobacterial population in paddy soils. Biol Fertil Soils. 2019;55(2):109–20. https://doi.org/10.1007/s00374-018-01335-6.

    Article  CAS  Google Scholar 

  48. Ren C, Wang T, Xu Y, Deng J, Zhao F, Yang G, et al. Differential soil microbial community responses to the linkage of soil organic carbon fractions with respiration across land-use changes. For Ecol Manage. 2018;409:170–8. https://doi.org/10.1016/j.foreco.2017.11.011.

    Article  Google Scholar 

  49. Ward NL, Challacombe JF, Janssen PH, Henrissat B, Coutinho PM, Wu M, et al. Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils. Appl Environ Microbiol. 2009;75(7):2046–56.

    Article  CAS  Google Scholar 

  50. Yan T, Xue J, Zhou Z, Wu Y. Biochar-based fertilizer amendments improve the soil microbial community structure in a karst mountainous area. Sci Total Environ. 2021;794: 148757. https://doi.org/10.1016/j.scitotenv.2021.148757.

    Article  CAS  PubMed  Google Scholar 

  51. Guan Y, Chen M, Ma Y, Du Z, Yuan N, Li Y, et al. Whole-genome and time-course dual RNA-Seq analyses reveal chronic pathogenicity-related gene dynamics in the ginseng rusty root rot pathogen Ilyonectria robusta. Sci Rep. 2020;10(1):1586. https://doi.org/10.1038/s41598-020-58342-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Huo Y, Kang J-P, Park J-K, Li J, Chen L, Yang D-C. Rhodanobacter ginsengiterrae sp. nov., an antagonistic bacterium against root rot fungal pathogen Fusarium solani, isolated from ginseng rhizospheric soil. Archives of Microbiology. 2018;200(10):1457–63. https://doi.org/10.1007/s00203-018-1560-9.

    Article  CAS  PubMed  Google Scholar 

  53. Walsh JP, McMullin DR, Yeung KKC, Sumarah MW. Resorcylic acid lactones from the ginseng pathogen Ilyonectria mors-panacis. Phytochem Lett. 2022;48:94–9. https://doi.org/10.1016/j.phytol.2022.02.008.

    Article  CAS  Google Scholar 

  54. Yan S, Ren T, Wan Mahari WA, Feng H, Xu C, Yun F, et al. Soil carbon supplementation: Improvement of root-surrounding soil bacterial communities, sugar and starch content in tobacco (N. tabacum). Sci Total Environ. 2022;802:149835. https://doi.org/10.1016/j.scitotenv.2021.149835.

    Article  CAS  PubMed  Google Scholar 

  55. Dias T, Dukes A, Antunes PM. Accounting for soil biotic effects on soil health and crop productivity in the design of crop rotations. J Sci Food Agric. 2015;95(3):447–54.

    Article  CAS  Google Scholar 

  56. Semchenko M, Xue P, Leigh T. Functional diversity and identity of plant genotypes regulate rhizodeposition and soil microbial activity. New Phytol. 2021;232(2):776–87.

    Article  CAS  Google Scholar 

  57. Neupane A, Bulbul I, Wang Z, Lehman RM, Nafziger E, Marzano S-YL. Long term crop rotation effect on subsequent soybean yield explained by soil and root-associated microbiomes and soil health indicators. Scientific Reports. 2021;11(1):9200. https://doi.org/10.1038/s41598-021-88784-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Fan D, Zhang Y, Qin S, Wu B. Relationships between Artemisia ordosica communities and environmental factors following sand-dune stabilization in the Mu Us desert, Northwest China. J For Res. 2017;28(1):115–24.

    Article  CAS  Google Scholar 

  59. Gianello C, Bremner J. Comparison of chemical methods of assessing potentially available organic nitrogen in soil. Commun Soil Sci Plant Anal. 1986;17(2):215–36.

    Article  CAS  Google Scholar 

  60. Olsen SR. Estimation of available phosphorus in soils by extraction with sodium bicarbonate. US: Department of Agriculture; 1954.

    Google Scholar 

  61. Yan T, Xue J, Zhou Z, Wu Y. Effects of biochar-based fertilizer on soil bacterial network structure in a karst mountainous area. CATENA. 2021;206: 105535.

    Article  CAS  Google Scholar 

  62. Hu H, Zhou H, Zhou S, Li Z, Hay AG. Fomesafen impacts bacterial communities and enzyme activities in the rhizosphere. Environ Pollut. 2019;253:302–11.

    Article  CAS  Google Scholar 

  63. Floch C, Alarcon-Gutiérrez E, Criquet S. ABTS assay of phenol oxidase activity in soil. J Microbiol Methods. 2007;71(3):319–24. https://doi.org/10.1016/j.mimet.2007.09.020.

    Article  CAS  PubMed  Google Scholar 

  64. Zhang H, Huang M, Zhang W, Gardea-Torresdey JL, White JC, Ji R, et al. Silver nanoparticles alter soil microbial community compositions and metabolite profiles in unplanted and cucumber-planted soils. Environ Sci Technol. 2020;54(6):3334–42.

    Article  CAS  Google Scholar 

  65. Zhang W, Jia X, Chen S, Wang J, Ji R, Zhao L. Response of soil microbial communities to engineered nanomaterials in presence of maize plants. Environmental Pollution. 2020;267:115608. https://doi.org/10.1016/j.envpol.2020.115608.

    Article  CAS  PubMed  Google Scholar 

  66. Liang J, Yu X, Cao Y, Zhang J, Yan N, Xue L, et al. Effect of quicklime on microbial community in strong acidic soil. J Soil Sci Plant Nutr. 2021;21(3):1771–81. https://doi.org/10.1007/s42729-021-00478-0.

    Article  CAS  Google Scholar 

  67. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7(5):335–6.

    Article  CAS  Google Scholar 

  68. Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods. 2013;10(10):996–8.

    Article  CAS  Google Scholar 

  69. Cole JR, Wang Q, Cardenas E, Fish J, Chai B, Farris RJ. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis. Nucleic acids research. 2009;37(suppl_1):D141–5.

    Google Scholar 

  70. Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, et al. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol. 2009;75(23):7537–41.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We would like to thank Majorbio Bio-pharm Technology Co.,Ltd. (Shanghai, China) for help with the data analysis of high-throughput sequencing.

Funding

This study was supported by grants from the Project of Jilin Provincial Development and Reform Commission (grant No. 2021C007), the Horizontal Research Project of Jilin Medical University (grant No. 2021-HX002), and the Jilin Medical University Doctoral Research Startup Fund Project (grant No. JYBS2021031LK, grant No. JYBS2021032LK, and grant No. JYBS2021026LK).

Author information

Authors and Affiliations

  1. Jilin Medical University, Jilin, China

    Xingbo Bian, Xiaohang Yang & Xin Sun

  2. Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, China

    Qiong Li

Authors
  1. Xingbo Bian
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaohang Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qiong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xin Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

X.S. and Q.L. designed the experiment; X.B. and X.Y. analyzed the samples; X.B., X.Y. and Q.L. analyzed the data; X.B. wrote the first draft of the manuscript. All authors reviewed the manuscript. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Xin Sun.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Figure S1.

Analysis of differences in bacterial phylum levels. *: P < 0.05; **: P < 0.01. Figure S2. Analysis of differences in fungal phylum levels. *: P < 0.05; **: P < 0.01. Figure S3. The biomarker with LDA scores in bacterial communities associated with each treated soil from the three groups. Figure S4. The biomarker with LDA scores in fungi communities associated with each treated soil from the three groups. Figure S5. The fungal functional guilds with significant differences among the three groups. Table S1. Component extracted matrix of db-RDA for soil bacteria community. Table S2. Component extracted matrix of db-RDA for soil fungal community. Table S3. Bacterial function prediction of ginseng cultivation soil in different groups (hierarchy level 2).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bian, X., Yang, X., Li, Q. et al. Effects of planting of two common crops, Allium fistulosum and Brassica napus, on soil properties and microbial communities of ginseng cultivation in northeast China. BMC Microbiol 22, 182 (2022). https://doi.org/10.1186/s12866-022-02592-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12866-022-02592-0

Keywords

BMC Microbiology

ISSN: 1471-2180

Contact us