Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Response of oat morphologies, root exudates, and rhizosphere fungal communities to amendments in a saline-alkaline environment

  • Peina Lu,

    Roles Data curation, Formal analysis, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations College of Agronomy, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, P.R. China, Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, Canada

  • Tony Yang,

    Roles Writing – review & editing

    Affiliation Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, Canada

  • Lijun Li,

    Roles Funding acquisition, Investigation, Methodology, Project administration

    Affiliation College of Agronomy, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, P.R. China

  • Baoping Zhao,

    Roles Conceptualization, Funding acquisition, Investigation, Methodology

    Affiliation College of Agronomy, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, P.R. China

  • Jinghui Liu

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing

    cauljh@aliyun.com

    Affiliation College of Agronomy, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, P.R. China

Abstract

The application of organic amendments to saline-alkaline soil has been recommended as an agricultural strategy to improve crop productivity and soil health. However, there has been limited research on how organic soil amendment strategies affect the health of oats and their associated rhizosphere fungal communities in saline-alkaline conditions. Thus, the objectives of this study were to understand the effects of oat cultivars with contrasting saline-alkaline tolerances and different amendments on plant morphologies, root exudates (soluble sugars and organic acids), and rhizosphere fungal communities in a saline-alkaline environment. Experiments were conducted on a saline-alkaline tolerant cultivar, Baiyan2, and a saline-alkaline sensitive cultivar, Caoyou1, under four different organic amendment strategies: 1. control (no amendment application), 2. bio-fertilizer application, 3. rotten straw application, and 4. a co-application of bio-fertilizer and rotten straw. Results showed that plant morphological characters of Baiyan2 were better than Caoyou1, and that soluble sugar and organic acid levels in the rhizosphere of Baiyan2 were significantly lower than Caoyou1. Compared to the control, oat root and plant development was significantly improved by the combined bio-fertilizer and rotten straw amendment. Bio-fertilizer application promoted malic and citric acid levels, contributing to a higher total organic acid level, and significantly increased the abundance of Rhizopus arrhizus and decreased the abundance of the fungal pathogens Alternaria, Cladosporium, Sarocladium and Heydenia of Ascomycota in both oat cultivars. All amendment treatments containing rotten straw, except the combined amendment in Baiyan2, significantly increased the relative abundance of Ascomycota (specifically Gibberella, Talaromyces, Fusarium, and Bipolaris) and decreased the relative abundance of R. arrhizus by reducing soluble sugar and organic acid levels. For the combined amendment in Baiyan2, there were no significant changes in Gibberella and Rhizopus between the control and amendment treatment. Our results suggest that co-application of bio-fertilizer and rotten straw, combined with a tolerant oat cultivar, is an effective method to increase crop productivity and enhance soil health in a saline-alkaline environment.

Introduction

Due to increased demands for high quality food products, sustainable agroecosystems, and usable farmland worldwide, the possibility of using saline-alkaline land for agriculture is of interest to researchers [14]. Organic soil amendment strategies, such as such as bio-fertilizer and decomposed straw application, have been shown to improve the quality of saline-alkaline soils [58]. These amendments function by increasing available nutrients, modifying soil structure, and promoting plant growth [58]. Bio-fertilizers are substances containing living microorganisms [9] that can colonize crops and promote growth in several ways [10]. Rotten straw application can enhance root growth by increasing soil nutrients and optimizing soil compaction [11, 12]. Several studies have reported that the co-application of bio-fertilizers and organic manuers like rotten straw can efficiently modify soils, facilitate development of crop roots, and enhance plant growth in agricultural ecosystems [6, 13, 14].

Oat (Avena nuda L.) has been cultivated worldwide [15] and is used as a phytoremediation crop to ameliorate saline-alkaline soil, especially in arid and semi-arid areas [16]. Oat cultivars with contrasting saline-alkaline tolerances [17, 18] have differing productivities in the same saline-alkaline ecosystems [16], making tolerant cultivar selection a valuable strategy for increasing productivity. Different cultivars may also influence the surrounding soil microorganisms, as crop species and genotype have been shown to shape the soil microbial community [19]. This is significant because the soil microbial community can influence plant growth [19]. One mechanism by which plants alter microbial communities is through root exudations. Root exudates (e.g. sugars and organic acids) from plants exposed to various biotic and abiotic factors (i.e. salt, pH) [2022] and are closely related to plant survival under poor nutrient conditions [2325]. Specifically, many studies have shown that the richness of rhizosphere microbial communities can be enhanced by increased root exudations, such as: organic acids and carbohydrate [23, 2628]. Fungal communities in particular are often affected by certain crop species [29] and selectively regulated by certain root exudates [30].

Multiple interactions occur between organic soil amendments, root exudates, and the microbial community. Some researchers have reported that bio-fertilizer significantly increases soil organic acid contents [10, 31, 32], because the bio-remediation contains many beneficial microbes, such as Rhizopus arrhizus, known to produce malic, citric, fumaric acid in saline-alkaline soils [3234]. Other research has suggested that organic management practices alter the soil microbial community by altering soil nutrient conditions [5]. Bio-fertilizers may act directly on soil nutrients, promoting plant growth, which allows soil microorganisms to receive more carbohydrates and organic acids from the host plant [35]. Rotten straw application may also affect the microbial community. Maarastawi et al. [36] observed that the assimilation of root exudates by rhizosphere organisms is reduced in the presence of straw because microorganisms preferentially use straw as a carbon source over root exudates.

There has been limited research on how organic soil amendment strategies affect the health of oats and their associated rhizosphere fungal communities in saline-alkaline conditions. Thus, the objectives of this study were 1) to examine the effects of organic soil amendments on plant morphologies, root exudates, and associated rhizosphere fungal communities in two oat cultivars, and 2) to define the relationships between these variables in a saline-alkaline environment. Our results provide evidence that plant morphology and root exudate contents are negatively correlated and vary between crop cultivars under different amendments, introducing a possible technique for evaluating the relationships between root exudates and rhizosphere fungal communities in the improvement process of saline-alkaline soils.

Materials and methods

Study site and soil amendment compositions

This two-year field experiment was conducted at the Tumote Zuoqi Hailiu village (111°22′30″ E, 40°41′30″ N) of Hohhot, Inner Mongolia, China from 2016 to 2017. The study site has a mean annual temperature of 13.2°C and precipitation of 410 mm. Local soils are classified as saline-alkaline, with a pH of 9.14, EC of 1.55 mS cm-1, 63.11 mg kg-1 of available N, 15.71 mg kg-1 of available P, 171.33 mg kg-1 of available K, 0.53 g kg-1 total N, 1.66 g kg-1 total P, 0.53 g kg-1 total K, and 13.32 g kg-1 of organic matter, as measured at the time of plot establishment in May 2016.

The bio-fertilizer used in this study had a pH of 6.85, EC of 125.93 μS cm-1, 532.42 mg kg-1 of available N, 166.52 mg kg-1 of available P, 222.79 mg kg-1 of available K, 84.67 g kg-1 total N, 0.16 g kg-1 total P, 9.33 g kg-1 total K, and 372.60 g kg-1 of organic matter and the bio-fertilizer with mixture of bacteria (62.77% Proteobacteria, 15.76% Firmicutes, 18.36% Bacteroidetes and so on). The bio-fertilizer treatment involved application at 150 kg ha-1 yr-1 during oat seeding in both 2016 and 2017.

Rotten straw was generated from 5 cm long sections of corn straw that were fermented without oxygen for 8 months (from September to April) directly preceding each experiment. Rotten straw had an average pH of 6.58, EC of 2.95 μS cm-1, 362.06 mg kg-1 of available N, 169.70 mg kg-1 available of P, 345.39 mg kg-1 of available K, 14.06 g kg-1 total N, 0.18 g kg-1 total P, 7.99 g kg-1 total K and 552.48 g kg-1 of organic matter, rotten straw main including the bacteria (78.61% Proteobacteria, 20.95% Firmicutes and so on) and fungi (98.19% Ascomycota). The rotten straw treatment consisted of rotten straw applied evenly on the soil surface at 12 000 kg ha-1 yr-1 and mixed with top 15 cm of soil using a rotary tiller prior to seeding in both 2016 and 2017.

Diammonium phosphate (DAP: 18-46-0) was applied at a rate of 150 kg ha-1 yr-1 in all plots during oat seeding, which main consider that the lower soil nutrients in this field.

Study experimental design

This study consisted of 8 treatments (2 oat cultivars and 4 amendment treatments) arranged in a randomized complete block design, each with three replications. The oat cultivars selected were Caoyou1, a saline-alkaline sensitive cultivar, and Baiyan2, a saline-alkaline tolerant cultivar [16]. Oats were seeded at a rate of 150 kg ha-1 yr-1 with 25 cm row spacing in the springs of both 2016 and 2017. In the results, A and B represent the Caoyou1 and Baiyan2 oat cultivars, respectively. CK (A1 and B1) is the negative control; F (A2 and B2) is the bio-fertilizer treatment; R (A3 and B3) is the rotten straw treatment; and RF (A4 and B4) is the bio-fertilizer plus rotten straw treatment.

Sampling and measurements

Plant sampling and measurements.

Oat plants were removed from three randomly selected 0.25 m×0.25 m subplots of each plot in September 2017 after 60 days of soil amendments. We harvested the aboveground plants, then dug up the crop roots and shook off loose bulk soil. Any adhered soil was washed off under running tap water in lab. After cleaning, the morphological structure of each root sample was assessed using a root scanner (Microtek ScanMaker i800 Plus, Zhejiang Top Instrument Co., Ltd., China) and analysis software (LA-S Analysis, Hangzhou Wanshen Detection Technology Co., Ltd., China). Fresh biomass of each shoot and root sample was measured. Samples were then dried at 70°C until constant weight and dry biomass was recorded (48 h) with an analytical balance (JY10002, Shanghai Hengping Instrument and Meter Factory, China).

Rhizosphere soil sampling and measurements.

Rhizosphere soil samples were collected at the same time and from the same 0.25 m×0.25 m subplots as the plant samples. Loose soil on the oat roots from each subplot was shaken off by hand in the field and rhizosphere soil within 2 mm of each sample was gently collected in a Ziploc© bag. Each sample was sieved through a 2 mm mesh screen and stored at -80°C for root exudate collection and DNA extraction.

Root exudate collection.

Root exudates were collected from 10 g subsamples of each rhizosphere soil sample. These subsamples were dissolved in 100 mL of deionized water in a 250 mL Erlenmeyer flask, and shook on an orbital shaker (HY-4 speed multi-purpose shaker, Jiangsu Dongpeng Instrument Manufacturing Co., Ltd., China) for one hour at 200 rpm. The resulting solutions were centrifuged (L530R Low Speed Refrigerated Tied Centrifuge, Hunan Xiangyi Centrifuge Instrument Co., Ltd., China) at 50 xg for 5 minutes to compact the soil. Supernatants of each extraction sample were transferred to a filter apparatus and passed through a 0.45 μm membrane filter. All extraction samples were stored at -20°C for root exudate analysis.

Root exudate analysis.

The root exudates analyzed were organic acids and soluble sugar. For organic acids, the extraction samples were collected through a membrane filter (water system, pore size 0.3 μm). Organic acid concentration was then determined by high performance liquid chromatography (HPLC) (LC-20AT, Shimadzu, Japan) with the following running conditions: UV monitor (SPD-20A), Atlantis of TMdC18 column (4.6 mm×250.0 mm, 5 μm), 1 mL min-1 flow rate, 25°C column temperature, and 20 μL injection volume. Mobile phase A contained 0.01 mol L-1 Na2HPO4 (pH = 2.7, 1 mol L-1 phosphoric acid regulation), mobile phase B contained acetonitrile, and mobile phase C contained ultra-pure water. UV absorbance was detected at 210 nm. Organic acids from standards and samples dissolved in HPLC-grade methanol were injected into the sample loop and the mean peak areas of individual compounds were taken for quantification. Organic acids present in the sample were identified by comparing their retention time to the organic acid standards of oxalic acid (3.655 min), tartaric acid (4.262 min), formic acid (4.644 min), malic acid (5.477 min), ascorbic acid (6.729 min), acetic acid (7.791 min), citric acid (10.206 min), fumaric acid (11.618 min) and succinic acid (12.552 min; Sigma-Aldrich, St. Louis, MO, USA). Soluble sugar content was determined using the anthrone method [37]. All analysis of organic acids were performed by Inner Mongolia Agriculture, Animal Husbandry, Fishery and Biology Experiment Research Centre (Inner Mongolia, China).

DNA extraction, PCR amplification, and pyrosequencing.

Total raw DNA was extracted from 0.5 g of fresh soil using the PowerSoil DNA Isolation Kit (Mo Bio Laboratories, Carlsbad, CA, USA). Concentration and purity of the raw DNA samples were tested with a 1% agarose gel (1% AGE, 100 V/40 min), and qualified samples were stored at -80°C for further analysis. Each DNA sample was diluted with nuclease-free water to 1 ng μL-1 for PCR amplification. The ITS1 region of the fungal internal transcribed spacer (ITS) was amplified using the specific primers ITS5-1737F (5′-GGAAGTAAAAGTCGTAACAAGG-3′) and ITS2-2043R (5′-GCTGCGTTCTTCATCGATGC-3′), in accordance with Huang et al. [38]. To ensure efficiency and accuracy, all amplification of fungal ITS sequences was performed using the primers described above with a 6-nt barcode, Phusion High-Fidelity PCR Master Mix with GC Buffer (New England Biolabs, UK), and template DNA. Each PCR reaction was performed in a 30 μL-volume system containing 15 μL of Phusion Master Mix (2×), 3 μL of 6 μM forward and reverse primers, 10 μL of template DNA and 2 μL of nuclease-free water. Thermocycler conditions consisted of an initial denaturation at 98°C for 1 min, 35 cycles of 98°C for 10 s, 50°C for 30 s, 72°C for 30 s, and a final extension at 72°C for 5 min. PCR products were purified using the QIAquick PCR Purification Kit (QIAGEN, Germany) and subjected to quantitation using a Qubit1 2.0 Fluorometer (Invitrogen, USA).

Purified amplicons were pooled in equimolar concentrations and used for library construction with the NEB Next® UltraTM DNA Library Preparation Kit for Illumina (NEB, USA) following the manufacturer’s recommendations. Index codes were added to the constructed libraries. Final DNA quality was assessed with a Qubit 2.0 Fluorometer (Invitrogen, USA) and Agilent Bioanalyses 2100 system. Libraries were sequenced on an Illumina HiSeq2500 platform, with 250 bp paired-end reads generated by Novogene Bioinformatics Technology Co. Ltd, Beijing, China. The raw sequencing data were submitted to NCBI Sequence Read Archive (SRA) under bioproject accession number PRJNA670290.

Paired-end reads were divided into sample libraries according to unique barcodes, shortened by removing the PCR primer sequence and barcodes, and merged using FLASH [39]. Raw tags were filtered to produce high-quality clean tags refer to Qiime [40, 41]. Then chimeric sequences were removed using the UCHIME Algorithm [42] based on the reference Unite Database [43] to produce the final effective tags. Sequences were clustered into OTUs (Operational Taxonomic Units) at 97% identity using UPARSE [44]. The representative sequence for each OTU was classified by Qiime software based on the Unite Database [43].

Statistical analysis

The effects of amendment treatments on plant morphologies, root exudates, and rhizosphere fungal communities were evaluated using the general linear models (GLM) procedure and significant differences among means were separated using Fisher's least significant difference (F-LSD) at 5% level by SAS 9.0. Qiime software (Version 1.9.1) was used to calculate the diversity indices (observed richness, chao1 index, and Shannon index). Principal component analysis (PCA) [45] and Adonis analysis based on Bray-Curtis dissimilarity matrices were used to test the effects of treatments on microbial community using the “vegan”, “pairwise”, “ade4” and “ggplot2” packages in R. Redundancy analysis (RDA) [46] was used to evaluate the relationship between plant morphologies, root exudates, and fungal communities using the “rda()” function in R [47, 48]. In addition, Spearman correlation analysis and heatmaps of correlation were used to analyze the relationships between plant morphologies and root exudates and fungal communities in the different treatments.

Results

Oat growth

We observed that oat cultivar selection had a significant effect on all plant morphologies except root dry biomass and root length (Table 1). Specifically, Baiyan2 had better morphological characters than Caoyou1. Compared to the control, organic amendment strategies (treatments F, R, and RF) significantly improved all plant morphological parameters except root dry biomass (Table 1). In particular, shoot and root biomass, root length, root volume, root surface area, and root diameter of both oat cultivars were significantly higher in the RF treatment (Table 1). Root fresh biomass of Caoyou1, and root biomass of Baiyan2, were higher in the bio-fertilizer (F) treatment than the control (Fig 1). Root fresh biomass and root volume of Caoyou1, and root volume of Baiyan2, were significantly higher in both treatments containing rotten straw (R and RF; Fig 1).

thumbnail
Fig 1.

Effects of soil amendments on root volume and biomass of Caoyou1 (A) and Baiyan2 (B) oat cultivars. A1 and B1 represent the negative control; A2 and B2 represent the bio-fertilizer treatment; A3 and B3 represent the rotten straw treatment; and A4 and B4 represent the bio-fertilizer and rotten straw treatment.

https://doi.org/10.1371/journal.pone.0243301.g001

thumbnail
Table 1. Effects of soil amendments on plants morphologies of Caoyou1 and Baiyan2 oat cultivars.

https://doi.org/10.1371/journal.pone.0243301.t001

Oat root exudates

This study found strong oat cultivar × amendment interactions for soluble sugar and organic acid levels in the rhizospheres of Caoyou1 and Baiyan2 (Table 2). In general, Caoyou1 had higher levels of soluble sugar and all tested organic acids (except fumaric acid) than Baiyan2 (Table 2). Additionally, soluble sugar levels were significantly decreased by most organic amendment treatments (F, R, and RF). However, soluble sugar levels were elevated in the B4 treatment (Table 2). Bio-fertilizer application (F) significantly increased citric acid and total organic acid levels, and significantly decreased tartaric, formic and ascorbic acid levels in both oat cultivars (Table 2). All tested organic acids except fumaric acid were significantly reduced in treatments containing rotten straw (R and RF; Table 2) in Caoyou1. However, some acids, i.e. oxalic, acetic, and succinic acid, were significantly elevated in the B4 treatment (Table 2).

thumbnail
Table 2. Effects of soil amendments on soluble sugar and organic acid levels in the rhizosphere of Caoyou1 and Baiyan2 oat cultivars (ug·g dry soil-1).

https://doi.org/10.1371/journal.pone.0243301.t002

Oat rhizosphere fungal diversity

PCA results showed that the rhizosphere fungal community was affected by both oat cultivar selection and amendment application (Fig 2). For cultivars, observed richness was higher in Baiyan2 than in Caoyou1 (Table 3). For amendments, the rhizosphere fungal community differed significantly between the bio-fertilizer treatment (F) and the negative control (CK), and between the treatments containing rotten straw (R and RF) and the treatments without rotten straw (CK and F; Fig 2). The R and RF treatments significantly increased the observed richness, chao1 index, and Shannon index of the fungal community, whereas the F treatment significantly decreased the Shannon index (Table 3).

thumbnail
Fig 2. Principal component analysis (PCA) plot showing the fungal communities detected in the rhizosphere of two oat cultivars under different soil amendment treatments.

A and B represent the Caoyou1 and Baiyan2 oat cultivars, respectively. A1 and B1 represent the negative control; A2 and B2 represent the bio-fertilizer treatment; A3 and B3 represent the rotten straw treatment; and A4 and B4 represent the bio-fertilizer and rotten straw treatment.

https://doi.org/10.1371/journal.pone.0243301.g002

thumbnail
Table 3. Effects of soil amendments on rhizosphere fungal α-diversity indexes of Caoyou1 and Baiyan2 oat cultivars.

https://doi.org/10.1371/journal.pone.0243301.t003

Oat rhizosphere fungal community composition

The top three identified fungal phyla in this study were Ascomycota (58.89%), Zygomycota (27.72%) and Basidiomycota (13.07%), and the top three identified fungal genera were Rhizopus (26.42%), Gibberella (23.10%), and Alternaria (6.85%) (Fig 3A and 3B). Oat cultivar significantly affected the relative abundances of fungal genera (S2 Table). In particular, the relative abundances of Gibberella, Talaromyces, Fusarium, Heydenia, and Bipolaris were higher in rhizosphere of Baiyan2 than Caoyou1 (Fig 3B and S2 Table).

thumbnail
Fig 3. Comparison of the fungal community structures between different oat cultivars and soil amendment treatments.

A and B represent the Caoyou1 and Baiyan2 oat cultivars, respectively. A1 and B1 represent the negative control; A2 and B2 represent the bio-fertilizer treatment; A3 and B3 represent the rotten straw treatment; and A4 and B4 represent the bio-fertilizer and rotten straw treatment.

https://doi.org/10.1371/journal.pone.0243301.g003

The effects of amendment and cultivar × amendment interactions on the fungal community were significant (S1S3 Tables). At the phylum level, the A2, B2, and B3 treatments significantly decreased the proportion of Ascomycota, and significantly increased the proportion of Zygomycota, as compared to the control (Fig 3A and S1 Table). On the contrary, the A3 and A4 treatments had the inverse effect of these phyla, increasing Ascomycota and decreasing Zygomycota (Fig 3A and S1 Table). There were no significant differences in fungal phyla between the B1 and B4 treatments (Fig 3A and S1 Table).

At the genus and species level, all organic amendment treatments (F, R, and RF) significantly decreased the proportions of Alternaria and Cladosporium in both oat cultivars compared to control (Fig 3B, S2 and S3 Tables). Bio-fertilizer application (F) significantly increased the proportion of Rhizopus (R. arrhizus) in both cultivars, whereas rotten straw application (treatments R and RF) significantly decreased the relative abundance of Rhizopus (R. arrhizus) in Caoyou1. The R and RF treatments also significantly decreased the proportion of Heydenia in Baiyan2, and significantly increased the proportion of Gibberella in Caoyou1 as well as Talaromyces, Fusarium and Bipolaris in Baiyan2 compared to control (Fig 3B and S2 Table). There were no significant differences in Rhizopus and Gibberella abundances between B1 and B4 treatments (Fig 3B and S2 Table).

Correlation analysis of fungal communities against oat morphologies and exudates

RDA results revealed that the first two axes explain 41.00% of the total variation in fungal OTU matrices (Fig 4). In particular, soluble sugar and total organic acid levels in the rhizosphere were closely positively related to the negative control (treatments A1 and B1) and the bio-fertilizer (treatments A1 and B1) of both cultivars. This contributed significantly to the explanatory power of the RDA model (Fig 4 and S4 Table). Most tested oat morphological parameters (particularly root length, root surface area, and shoot fresh biomass) were positively related to the application of rotten straw (treatments A3, A4, B3 and B4; Fig 4 and S4 Table). Of these treatments, the B4 treatment had the greatest positive impact on root morphological parameters (Fig 4 and S4 Table).

thumbnail
Fig 4. Redundancy analysis (RDA) of fungal OTUs matrix, oat morphologies, and root exudates in two oat cultivars and multiple soil amendment treatments.

A and B represent the Caoyou1 and Baiyan2 oat cultivars, respectively. A1 and B1 represent the negative control; A2 and B2 represent the bio-fertilizer treatment; A3 and B3 represent the rotten straw treatment; and A4 and B4 represent the bio-fertilizer and rotten straw treatment.The following parameters were used: Sugar, soluble sugar; TA, total organic acid; RL, root length; RA, root surface area; and GFW, shoot fresh biomass.

https://doi.org/10.1371/journal.pone.0243301.g004

At the phylum level, Spearman correlation analysis showed that total organic acid levels in the rhizosphere were significantly positively correlated with the proportion of Zygomycota but were significantly negatively correlated with the proportion of Ascomycota (S1 Fig). Moreover, these variables were positively correlated with Rhizopus, Alternaria, Sarocladium, and Heydenia, and negatively correlated with Talaromyces, Fusarium, and Bipolaris (Fig 5 and S1 Fig). Soluble sugar and total organic acid levels were also negatively correlated with oat root morphologies and biomass (S5 Table).

thumbnail
Fig 5. Spearman’s rank-correlations (r) between the top 35 most abundant fungal genera, oat morphologies, and root exudates where the “r” value is between −1 and 1.

An r < 0 indicates a negative correlation and an r > 0 indicates a positive correlation. The labels *, ** and *** indicate significance levels of p < 0.05, p < 0.01 and p < 0.001, respectively. The following parameters were used: Sugar, soluble sugar; TA, total organic acid; RL, root length; RV, root volume; RA, root surface area; RD, root diameter; RFW, root fresh biomass; RDW, root dry biomass; GFW, shoot fresh biomass; and GDW, shoot dry biomass.

https://doi.org/10.1371/journal.pone.0243301.g005

Discussion

The relationship between oat morphologies and root exudates of two cultivars

This study found that healthy oat morphologies were significantly negative correlated with the root exudates soluble sugar and organic acid under saline-alkaline growing conditions. These findings are consistent with previous research by Boldt-Burisch et al. [20], where root volume was significantly negatively correlated with total amount of organic acids in the rhizosphere both for plants grown in the non-sterilized and sterilized soils. Notably, the tolerant cultivar, Baiyan2, had better plant morphologies and lower levels of soluble sugar and organic acid in the rhizosphere than the sensitive cultivar, Caoyou1. Additionally, the amount of root exudates have been shown to vary between plant species and cultivars under different growing conditions [2022, 24]. This indicates that the sensitive oat cultivar may secrete more exudates than resistance oat cultivar in response to environmental stress [49], which may cost more plants energy and led to restricted plant growth [23, 24]. Therefore, if root exudates can be used as an indicator of plant health, these compounds not only identify tolerant cultivars but may also be a suitable strategy for increasing crop productivity in saline-alkaline soils.

The relationships between oat morphologies and root exudates of two cultivars under different amendments

Organic amendments have been shown to optimize nutrient conditions in the soil and promote plant growth [6, 13, 14]. In accordance with these findings, we observed that application of organic soil amendments increased oat root development and biomass. Amendments also had a significant effect on the rhizosphere levels of soluble sugar and organic acids.

Plants secrete root exudates in order to survive in poor nutrient conditions [2325]. The decreased total organic acid levels observed in the treatments involving rotten straw confirm previous findings that organic acids are not necessary for plant survival in saline-alkaline soils when organic materials are provided [20, 36]. However, bio-fertilizer application significantly increased malic and citric acid content for both cultivars, and combined amendments significantly increased oxalic, acetic, and succinic acid content for Baiyan2 in our study. This could be explained by the findings of previous studies that have reported that bio-fertilizers with live microbes may release certain organic acids [10, 31, 32]. Increased in oxalic, malic, citric acids and so on in root exudates can be acted as chemoattractants of soil microbes during both pathogenic and beneficial interactions [23, 24].

Sugars from roots represent the main source of energy for microorganisms in the rhizosphere, and thus be good for beneficial microorganisms and have a beneficial effect on plant productivity under the better nutrient conditions [35]. The combined bio-fertilizer and rotten straw treatment significantly increased soluble sugar in the rhizosphere of Baiyan2, which may be because higher sugar concentration in roots were released [50]. However, soluble sugar levels were significantly decreased by the bio-fertilizer and rotten straw alone treatments in our study, which may be because the addition of amendments supplied additional carbon source for microorganisms and decreased the uptake of root exudates by organisms [36]. If root exudates respond differently to different amendments, it indicates that an appropriate amendment is worth considering in agricultural systems.

The relationships between root exudates and fungal communities of two oat cultivars

Previous research has revealed that soil microbial communities, and particularly rhizosphere fungal communities [30], utilize and are influenced by root exudates [27]. In this study, total organic acid levels had a negative relationship with Ascomycota and a positive relationship with Zygomycota. Additionally, we found that Ascomycota and Zygomycota were the dominant fungal phyla in the saline-alkaline environment, which concurs with previous reports from Northeast China [51]. The abundances of Gibberella, Talaromyces, Fusarium, Heydenia, and Bipolaris were higher in Baiyan2 than Caoyou1, which may be due to the suppressive effects of root exudates that more existed in rhizosphere of Caoyou1 than Baiyan2. This explanation is supported by similar results that organic acids can suppress pathogens and control soilborne diseases from previous studies [52, 53]. In particular, Gomes et al. [54] indicated that cultivar type played a critical role in mediating the fungal community composition. Hence, our study suggested that plants exude organic acids to inhibit potentially harmful microorganisms in the rhizosphere that can cause restricted root development and reduced crop biomass in saline-alkaline soils.

The relationships between root exudates and fungal communities of two oat cultivars under different amendments

Bio-fertilizer considerably increased the proportion of Rhizopus arrhizus in both oat cultivars. Rhizopus arrhizus has been widely used for bio-remediation of saline-alkaline soil [33, 34], and belongs to the phylum Zygomycota, which contains species that are known to produce organic acids like malic, citric, fumaric acid that can inhibit pathogens [32, 55]. Indeed, the application of bio-fertilizer increased malic, citric and fumaric acid, resulting in higher total organic acid levels, especially in the rhizosphere of Baiyan2, which had a significant positive relationship with Rhizopus abundance. It was worthy to say that the bio-fertilizer may act directly on soil nutrients, promoting plant growth, which allows soil microorganisms to receive more organic acids from the host plant [35]. The bio-fertilizer also significantly limited Ascomycota, as well as Alternaria, Cladosporium, Sarocladium and Heydenia, which are all associated with disease and frequently occur together [54, 5658]. This may be due to the increased in organic acids in the rhizosphere as a result of the amendment [55]. However, the bio-fertilizer also significantly reduced fungal diversity by increasing organic acid levels. This study confirms that bio-fertilizer application can increase relative organic acid level by promoting the growth of antagonistic organisms or plants, thereby restricting some fungal pathogens and providing a healthy living environment for plants.

The amendments containing rotten straw significantly increased the observed fungal richness and diversity, as well as the abundance of Ascomycota (mainly Gibberella, Talaromyces, Fusarium and Bipolaris) compared to the control, especially in the rhizosphere of Caoyou1. This is due to the decrease in soluble sugar and organic acids in the rhizosphere of Caoyou1 caused by the rotten straw application. Fungal genera Gibberella, Fusarium, and Bipolaris, can be harbored in soils [59] and are common pathogens that lead to crop yield loss [52, 60, 61]. The amendments containing rotten straw significantly decreased R. arrhizus for the sensitive cultivar Caoyou1, but not for the tolerant cultivar Baiyan2. This may not only because the organic acids were decreased by the rotten straw application in Caoyou1, but also because more carbohydrates were supplied by the strong roots of the resistant cultivar Baiyan2 under the better nutrient conditions [35], especially in the combined bio-fertilizer and rotten straw treatment. This suggests that rhizosphere fungal communities in saline-alkaline tolerant oat cultivars are protected and promoted in poor soil conditions if we consider the co-application of bio-fertilizer and rotten straw as the opportune method, because the developed oat roots can secrete root exudates to maintain the fungal communities in saline-alkaline environments.

Conclusions

The evidence presented here indicates that root exudate levels can be used to evaluate the relationships between oat plants and rhizosphere fungal communities in saline-alkaline environments. Our study confirmed that bio-fertilizers decrease fungal diversity and reduce harmful pathogens by promoting oat root and Rhizopus arrhizus organic acid secretions. Conversely, we showed that that the amendments containing rotten straw increased fungal richness, diversity, and pathogenic fungi due to a reduction in root exudates. The combined bio-fertilizer and rotten straw amendment significantly improved oat root development and overall biomass by promoting root exudates that stabilized the rhizosphere fungal communities in the tolerant oat cultivar, Baiyan2. We suggest that co-application of a bio-fertilizer and rotten straw, along with a tolerant cultivar, is an effective method to improve crop growth and enhance soil health in saline-alkaline environments, which can be adopted to improve crop productivity. In addition, we found a negative relationship between R. arrhizus and several pathogenic fungi. Thus, further studies on R. arrhizus as a potential biocontrol agent should be conducted.

Supporting information

S1 Fig. Spearman’s rank-phylum correlations (r) between the top 10 most abundant fungal phylum, oat characteristics, and root exudates where “r” value is between −1 and 1.

An r < 0 indicates a negative correlation and an r > 0 indicates a positive correlation. The labels *, ** and *** indicate significance levels of p < 0.05, p < 0.01 and p < 0.001, respectively. The following parameters were used: sugar, soluble sugar; TA, total organic acid; RL, root length; RV, root volume; RA, root surface area; RD, root diameter; RFW, root fresh biomass; RDW, root dry biomass; GFW, shoot fresh biomass; and GDW, shoot dry biomass.

https://doi.org/10.1371/journal.pone.0243301.s001

(TIF)

S1 Table. Effects of amendments on fungal community compositions of two oat cultivars at the phylum level.

https://doi.org/10.1371/journal.pone.0243301.s002

(XLSX)

S2 Table. Effects of amendments on fungal community compositions of two oat cultivars at the genus level.

https://doi.org/10.1371/journal.pone.0243301.s003

(XLSX)

S3 Table. Effects of amendments on fungal community compositions of two oat cultivars at the species level.

https://doi.org/10.1371/journal.pone.0243301.s004

(XLSX)

S4 Table. Proportion of variance explained by environmental variables as determined by RDA for fungal OTUs matrix.

https://doi.org/10.1371/journal.pone.0243301.s005

(XLSX)

S5 Table. Pearson correlation analysis between oat morphological characters and root exudates in two oat cultivars and multiple soil amendment treatments (* P < 0.05, ** P < 0.01, *** P < 0.001).

https://doi.org/10.1371/journal.pone.0243301.s006

(XLSX)

Acknowledgments

We are very grateful to Inner Mongolia Agriculture, Animal Husbandry, Fishery and Biology Experiment Research Centre for organic acids analysis and Novogene Co., Ltd. for ITS sequence barcode pyrosequencing. We thank Dr. Madeleine Thomson for modifying and proofreading the manuscript.

References

  1. 1. Ruan CJ, da Silva JAT, Mopper S, Qin P, Lutts S. Halophyte improvement for a salinized world. Critical Reviews in Plant Sciences. 2010;29(6):329–59. https://doi.org/10.1080/07352689.2010.524517.
  2. 2. Meena MD, Joshi PK, Narjary B, Sheoran P, Jat HS, Chinchmalatpure AR, et al. Effects of municipal solid waste compost, rice-straw compost and mineral fertilisers on biological and chemical properties of a saline soil and yields in a mustard–pearl millet cropping system. Soil Research. 2016;54(8):958–69. https://doi.org/10.1071/SR15342.
  3. 3. Wu Y, Li Y, Zheng C, Zhang Y, Sun Z. Organic amendment application influence soil organism abundance in saline alkali soil. European journal of soil biology. 2013;54:32–40. https://doi.org/10.1016/j.ejsobi.2012.10.006.
  4. 4. Huang RD. Research progress on plant tolerance to soil salinity and alkalinity in sorghum. Journal of Integrative Agriculture. 2018;17(4):739–46. http://doi.org/10.1016/s2095-3119(17)61728-3.
  5. 5. Tejada M, Garcia C, Gonzalez JL, Hernandez MT. Use of organic amendment as a strategy for saline soil remediation: Influence on the physical, chemical and biological properties of soil. Soil Biology and Biochemistry. 2006;38(6):1413–21. https://doi.org/10.1016/j.soilbio.2005.10.017.
  6. 6. Turmuktini T, Kantikowati E, Natalie B, Setiawati M, Yuwariah Y, Joy B, et al. Restoring the health of paddy soil by using straw compost and biofertilizers to increase fertilizer efficiency and rice production with SOBARI (System of Organic Based Aerobic Rice Intensification) technology. Asian Journal of Agriculture and Rural Development. 2012;2(393-2016-23872):519–26. https://doi.org/10.22004/ag.econ.197998.
  7. 7. Abd-Alla MH, El-Enany A-WE, Nafady NA, Khalaf DM, Morsy FM. Synergistic interaction of Rhizobium leguminosarum bv. viciae and arbuscular mycorrhizal fungi as a plant growth promoting biofertilizers for faba bean (Vicia faba L.) in alkaline soil. Microbiological Research. 2014;169(1):49–58. pmid:23920230
  8. 8. Singh PP, Kujur A, Yadav A, Kumar A, Singh SK, Prakash B. Mechanisms of plant-microbe interactions and its significance for sustainable agriculture. PGPR Amelioration in Sustainable Agriculture2019. p. 17–39.
  9. 9. Vessey JK. Plant growth promoting rhizobacteria as biofertilizers. Plant and Soil. 2003;255(2):571–86. https://doi.org/10.1023/A:1026037216893.
  10. 10. García-Fraile P, Menéndez E, Rivas R. Role of bacterial biofertilizers in agriculture and forestry. AIMS Bioengineering. 2015;2(3):183–205. http://doi.org/10.3934/bioeng.2015.3.183
  11. 11. Unger PW, Kaspar TC. Soil compaction and root growth: a review. Agronomy Journal. 1994;86(5):759–66. http://doi.org/10.1371/journal.pone.0055929.
  12. 12. Chen HL, Liu GS, Yang YF, Chang YM, Zhao LL. Effects of rotten wheat straw on organic carbon and microbial biomass carbon of tobacco-planted soil. Journal of Food, Agriculture & Environment. 2013;11(1):1017–21.
  13. 13. Sun J, Tian Y, Gao L, Peng X, Tong E. Effects of straw biological reactor and microbial agents on physicochemical properties and microbial diversity of tomato soil in solar greenhouse. Transactions of the Chinese Society of Agricultural Engineering 2014;30(01):153–64. http://doi.org/10.3969/j.issn.1002-6819.2014.06.019.
  14. 14. Kumar R, Singh A, Hooda V, Singh R, Singh M. Effect of organic manures, bio-fertilizer and mulching on growth and yield of potato (Solanum tuberosum L.). The Bioscan. 2015;10(1):403–6. https://scholar.google.com/scholar?cluster=16297078919580603408&hl=zhCN&as_sdt=0,5
  15. 15. Bekele WA, Wight CP, Chao S, Howarth CJ, Tinker NA. Haplotype-based genotyping-by-sequencing in oat genome research. Plant Biotechnol J. 2018;16(8):1452–63. pmid:29345800
  16. 16. Lu P, Liu J, Li Q, Shen Y, Yan W, Xue G. Comparison of quality and yield of different oat varieties in saline-alkali land. Journal of Triticeae Crops. 2016;36(11):1510–6. (In Chinese).
  17. 17. Bai J, Qin Y, Liu J, Wang Y, Sa R, Zhang N, et al. Proteomic response of oat leaves to long-term salinity stress. Environ Sci Pollut Res Int. 2017;24(4):3387–99. pmid:27866362
  18. 18. Bai J, Liu J, Zhang N, Yang J, Sa R, Lan W. Effect of alkali stress on soluble sugar, antioxidant enzymes and yield of oat. Journal of Integrative Agriculture. 2013;12(8):1441–9. https://doi.org/10.1016/S2095-3119(13)60556-0.
  19. 19. Lu T, Ke M, Peijnenburg W, Zhu Y, Zhang M, Sun L, et al. Investigation of rhizospheric microbial communities in wheat, barley, and two rice varieties at the seedling stage. Journal of agricultural and food chemistry. 2018;66(11):2645–53. pmid:29474068.
  20. 20. Boldt-Burisch K, Schneider BU, Naeth MA, HÜTtl RF. Root exudation of organic acids of herbaceous pioneer plants and their growth in sterile and non-sterile nutrient-poor, sandy soils from post-mining sites. Pedosphere. 2019;29(1):34–44. https://doi.org/10.1016/s1002-0160(18)60056-6.
  21. 21. Eisenhauer N, Lanoue A, Strecker T, Scheu S, Steinauer K, Thakur MP, et al. Root biomass and exudates link plant diversity with soil bacterial and fungal biomass. Sci Rep. 2017;7:44641. pmid:28374800
  22. 22. Minemba D, Gleeson DB, Veneklaas E, Ryan MH. Variation in morphological and physiological root traits and organic acid exudation of three sweet potato (Ipomoea batatas) cultivars under seven phosphorus levels. Scientia Horticulturae. 2019;256:108572. https://doi.org/10.1016/j.scienta.2019.108572.
  23. 23. Lombardi N, Vitale S, Turra D, Reverberi M, Fanelli C, Vinale F, et al. Root exudates of stressed plants stimulate and attract trichoderma soil fungi. Mol Plant Microbe Interact. 2018;31(10):982–94. pmid:29547355.
  24. 24. Huang X, Chaparro JM, Reardon KF, Zhang R, Shen Q, Vivanco JM. Rhizosphere interactions: root exudates, microbes, and microbial communities. Botany. 2014;92(4):267–75. http://doi.org/10.1139/cjb-2013-0225.
  25. 25. Haichar FeZ, Santaella C, Heulin T, Achouak W. Root exudates mediated interactions belowground. Soil Biology and Biochemistry. 2014;77:69–80. http://doi.org/10.1016/j.soilbio.2014.06.017.
  26. 26. Chaparro JM, Badri DV, Vivanco JM. Rhizosphere microbiome assemblage is affected by plant development. ISME J. 2014;8(4):790–803. pmid:24196324.
  27. 27. Chaparro JM, Badri DV, Bakker MG, Sugiyama A, Manter DK, Vivanco JM. Root exudation of phytochemicals in Arabidopsis follows specific patterns that are developmentally programmed and correlate with soil microbial functions. PLoS One. 2013;8(2):e55731. pmid:23383346.
  28. 28. Dennis PG, Miller AJ, Hirsch PR. Are root exudates more important than other sources of rhizodeposits in structuring rhizosphere bacterial communities? FEMS Microbiol Ecol. 2010;72(3):313–27. pmid:20370828.
  29. 29. Borrell AN, Shi Y, Gan Y, Bainard LD, Germida JJ, Hamel C. Fungal diversity associated with pulses and its influence on the subsequent wheat crop in the Canadian prairies. Plant and Soil. 2017;414(1–2):13–31. https://doi.org/10.1007/s11104-016-3075-y.
  30. 30. Broeckling CD, Broz AK, Bergelson J, Manter DK, Vivanco JM. Root exudates regulate soil fungal community composition and diversity. Applied and Environmental Microbiology. 2007;74(3):738–44. pmid:18083870
  31. 31. Zhou D, Huang X, Chaparro JM, Badri DV, Manter DK, Vivanco JM, et al. Root and bacterial secretions regulate the interaction between plants and PGPR leading to distinct plant growth promotion effects. Plant and Soil. 2015;401(1–2):259–72. http://doi.org/10.1007/s11104-015-2743-7.
  32. 32. Magnuson JK, Lasure LL. Organic acid production by filamentous fungi. Advances in Fungal Biotechnology for Industry, Agriculture, and Medicine2004. p. 307–40.
  33. 33. Pant A, Misra JK. Taxonomy of soil fungi isolated from muddy soil of Lucknow. International Journal of Pure and Applied Researches. 2017;3(1):38–42. https://scholar.google.com/scholar?cluster=3683129408713440546&hl=zh-CN&as_sdt=0,5.
  34. 34. Bishnoi NR. Fungus-an alternative for bioremediation of heavy metal containing wastewater: a review. Journal of Scientific & Industrial Research. 2005;94:93–100. http://nopr.niscair.res.in/handle/123456789/5015.
  35. 35. Hennion N, Durand M, Vriet C, Doidy J, Maurousset L, Lemoine R, et al. Sugars en route to the roots. Transport, metabolism and storage within plant roots and towards microorganisms of the rhizosphere. Physiol Plant. 2019;165(1):44–57. http://doi.org/10.1111/ppl.12751. pmid:29704246
  36. 36. Maarastawi SA, Frindte K, Bodelier PLE, Knief C. Rice straw serves as additional carbon source for rhizosphere microorganisms and reduces root exudate consumption. Soil Biology and Biochemistry. 2019;135:235–8. http://doi.org/10.1016/j.soilbio.2019.05.007.
  37. 37. Hansen J, Møller I. Percolation of starch and soluble carbohydrates from plant tissue for quantitative determination with anthrone. J Analytical biochemistry. 1975;68(1):87–94. pmid:1190454
  38. 38. Huang Y, Kuang Z, Wang W, Cao L. Exploring potential bacterial and fungal biocontrol agents transmitted from seeds to sprouts of wheat. Biological control. 2016;98:27–33. https://doi.org/10.1016/j.biocontrol.2016.02.013.
  39. 39. Magoč T, Salzberg SL. FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics. 2011;27(21):2957–63. pmid:21903629
  40. 40. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing data. Nature methods. 2010;7(5):335. pmid:20383131
  41. 41. Bokulich NA, Subramanian S, Faith JJ, Gevers D, Gordon JI, Knight R, et al. Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nature methods. 2013;10(1):57. pmid:23202435
  42. 42. Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics. 2011;27(16):2194–200. pmid:21700674
  43. 43. Kõljalg U, Nilsson RH, Abarenkov K, Tedersoo L, Taylor AF, Bahram M, et al. Towards a unified paradigm for sequence‐based identification of fungi. Molecular ecology. 2013;22(21):5271–7. pmid:24112409
  44. 44. Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nature methods. 2013;10(10):996. pmid:23955772
  45. 45. Peng M, Jia H, Wang Q. The effect of land use on abcterial communities in saline-alkali soil. Curr Microbiol. 2017;74(3):325–33. pmid:28102441
  46. 46. Uroz S, Ioannidis P, Lengelle J, Cebron A, Morin E, Buee M, et al. Functional assays and metagenomic analyses reveals differences between the microbial communities inhabiting the soil horizons of a Norway spruce plantation. PLoS One. 2013;8(2):e55929. pmid:23418476.
  47. 47. Sheik CS, Mitchell TW, Rizvi FZ, Rehman Y, Faisal M, Hasnain S, et al. Exposure of soil microbial communities to chromium and arsenic alters their diversity and structure. PLoS One. 2012;7(6):e40059. pmid:22768219
  48. 48. McMurdie P, Holmes S, Kindt R, Legendre P, O’Hara R. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One. 2013;8(4):e61217. pmid:23630581.
  49. 49. Guo SH, Niu YJ, Zhai H, Han N, Du YP. Effects of alkaline stress on organic acid metabolism in roots of grape hybrid rootstocks. Scientia Horticulturae. 2018;227:255–60. https://doi.org/10.1016/j.scienta.2017.09.051.
  50. 50. Durand M, Mainson D, Porcheron B, Maurousset L, Lemoine R, Pourtau N. Carbon source-sink relationship in Arabidopsis thaliana: the role of sucrose transporters. Planta. 2018;247(3):587–611. pmid:29138971.
  51. 51. He F, Yang B, Wang H, Yan Q, Cao Y, He X. Changes in composition and diversity of fungal communities along Quercus mongolica forests developments in Northeast China. Applied Soil Ecology. 2016;100:162–71. http://doi.org/10.1016/j.apsoil.2015.12.014.
  52. 52. Bawa G, Feng L, Yan L, Du Y, Shang J, Sun X, et al. Pre-treatment of salicylic acid enhances resistance of soybean seedlings to Fusarium solani. Plant Mol Biol. 2019;101(3):315–23. pmid:31392474.
  53. 53. Momma N, Yamamoto K, Simandi P, Shishido MJJoGPP. Role of organic acids in the mechanisms of biological soil disinfestation (BSD). 2006;72(4):247–52. https://doi.org/10.1007/s10327-006-0274-z.
  54. 54. Gomes T, Pereira JA, Lino-Neto T, Bennett AE, Baptista P. Bacterial disease induced changes in fungal communities of olive tree twigs depend on host genotype. Sci Rep. 2019;9(1):5882. pmid:30971758.
  55. 55. Baruah N, Bhattacharyya A, Thangavelu R, Puzari KC. In vitro screening of native banana rhizospheric microbes and endophytes of assam against Fusarium oxysporum f. sp. cubense. International Journal of Current Microbiology and Applied Sciences. 2018;7(06):1575–83. https://doi.org/10.20546/ijcmas.2018.706.188.
  56. 56. Shafique S, Shafique S, Sahar S, Akhtar N. First report of Cladosporium cladosporioides instigating leaf spot of Solanum melongena from Pakistan. Pakistan Journal of Botany. 2019;51(2):755–9. https://doi.org/10.30848/pjb2019-2(43).
  57. 57. Liu J, Zhang X, Kennedy JF, Jiang M, Cai Q, Wu X. Chitosan induces resistance to tuber rot in stored potato caused by Alternaria tenuissima. International Journal of Biological Macromolecules. 2019;140:851–7. pmid:31470051
  58. 58. D'Amico M, Frisullo S, Cirulli M. Endophytic fungi occurring in fennel, lettuce, chicory, and celery—commercial crops in southern Italy. Mycol Res. 2008;112(Pt 1):100–7. pmid:18222676.
  59. 59. Okello PN, Petrović K, Kontz B, Mathew FM. Eight species of Fusarium cause root rot of corn (Zea mays) in South Dakota. Plant Health Progress. 2019;20(1):38–43. https://doi.org/10.1094/php-11-18-0075-rs.
  60. 60. Shen Z, Ruan Y, Wang B, Zhong S, Su L, Li R, et al. Effect of biofertilizer for suppressing Fusarium wilt disease of banana as well as enhancing microbial and chemical properties of soil under greenhouse trial. Applied Soil Ecology. 2015;93:111–9. https://doi.org/10.1016/j.apsoil.2015.04.013.
  61. 61. Nordby JN, Pataky JK, White DG. Development of Gibberella ear rot on processing sweet corn hybrids over an extended period of harvest. Plant disease. 2007;91(2):171–5. pmid:30781000