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Strain-specific quantification of root colonization by plant growth promoting rhizobacteria Bacillus firmus I-1582 and Bacillus amyloliquefaciens QST713 in non-sterile soil and field conditions

  • Hajeewaka C. Mendis,

    Roles Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, United States of America

  • Varghese P. Thomas,

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

    Affiliation Crop Science Division, Biologics, Bayer, West Sacramento, CA, United States of America

  • Patrick Schwientek,

    Roles Data curation, Methodology, Resources, Software, Validation, Visualization

    Affiliation Crop Science Division, Biologics, Bayer, West Sacramento, CA, United States of America

  • Rauf Salamzade,

    Roles Data curation, Methodology, Resources, Software, Validation, Visualization

    Current address: Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America

    Affiliation Crop Science Division, Biologics, Bayer, West Sacramento, CA, United States of America

  • Jung-Ting Chien,

    Roles Data curation, Methodology, Software

    Affiliation Crop Science Division, Biologics, Bayer, West Sacramento, CA, United States of America

  • Pramuditha Waidyarathne,

    Roles Data curation, Formal analysis, Resources, Software, Visualization

    Current address: Coconut Research Institute of Sri Lanka, Lunuwila, Sri Lanka

    Affiliation Centre for Advanced Computational Solutions, Lincoln University, Christchurch, New Zealand

  • Joseph Kloepper,

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

    Affiliation Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, United States of America

  • Leonardo De La Fuente

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

    lzd0005@auburn.edu

    Affiliation Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, United States of America

Abstract

Bacillus amyloliquefaciens QST713 and B. firmus I-1582 are bacterial strains which are used as active ingredients of commercially-available soil application and seed treatment products Serenade® and VOTiVO®, respectively. These bacteria colonize plant roots promoting plant growth and offering protection against pathogens/pests. The objective of this study was to develop a qPCR protocol to quantitate the dynamics of root colonization by these two strains under field conditions. Primers and TaqMan® probes were designed based on genome comparisons of the two strains with publicly-available and unpublished bacterial genomes of the same species. An optimized qPCR protocol was developed to quantify bacterial colonization of corn roots after seed treatment. Treated corn seeds were planted in non-sterile soil in the greenhouse and grown for 28 days. Specific detection of bacteria was quantified weekly, and showed stable colonization between ~104–105 CFU/g during the experimental period for both bacteria, and the protocol detected as low as 103 CFU/g bacteria on roots. In a separate experiment, streptomycin-resistant QST713 and rifampicin-resistant I-1582 strains were used to compare dilution-plating on TSA with the newly developed qPCR method. Results also indicated that the presence of natural microflora and another inoculated strain does not affect root colonization of either one of these strains. The same qPCR protocol was used to quantitate root colonization by QST713 and I-1582 in two corn and two soybean varieties grown in the field. Both bacteria were quantitated up to two weeks after seeds were planted in the field and there were no significant differences in root colonization in either bacteria strain among varieties. Results presented here confirm that the developed qPCR protocol can be successfully used to understand dynamics of root colonization by these bacteria in plants growing in growth chamber, greenhouse and the field.

Introduction

Plant growth-promoting rhizobacteria (PGPR) are a group of bacteria that colonize plant roots and provide beneficial effects on plant growth and development [1]. Many diverse bacterial genera such as Alcaligenes, Arthrobacter, Azoarcus, Azospirillum, Azotobacter, Bacillus, Burkholderia, Clostridium, Enterobacter, Gluconacetobacter, Klebsiella, Pseudomonas, and Serratia include specific strains which are reported as PGPR [25]. PGPR have direct or indirect effects on plant growth promotion and improved crop yield. Direct effects of PGPR include providing plants with fixed nitrogen and phytohormones, increasing the availability of nitrogen, soluble phosphate and minerals in the soil and control or inhibition of the activity of plant pathogens [69]. Some PGPR are also responsible for promoting plant growth indirectly by eliciting Induced Systemic Resistance (ISR) [1013].

Due to an increased public concern on the use of chemicals in agriculture [5], there has been a growing demand for PGPR as an alternative to synthetic fertilizer and chemical pesticides [1416]. Use of PGPR in agriculture provides many benefits. PGPR have been used as a component of an integrated management system to reduce or to replace the use of chemical fertilizer and pesticides [3]. Members of the genus Bacillus produce heat and desiccation-resistant spores and are more amenable to commercial formulation. Therefore, most of the commercially available PGPR products contain Bacillus strains [10]. Many of these Bacillus spp. are developed as biocontrol agents of plant pests [5]. Bacillus species such as B. amyloliquefaciens, B. licheniformis, B. pumilus and B. subtilis are available in the market as biofungicide formulations [17].

Bacillus amyloliquefaciens QST713 (synonymous with Bacillus subtilis QST713) and B. firmus I-1582 are two key bacterial strains which are active ingredients in commercially-available biological products Serenade® and VOTiVO®, respectively These bacteria colonize plant roots, promoting plant growth and offering protection against pathogens. VOTiVO® is commercially available as a seed treatment to provide protection against nematode infection [18]. In addition, B. firmus I-1582 is also the active ingredient in Nortica® in turf grasses. B. firmus strains reduce populations of Meloidogyne incognita in tomato roots and Radopholus similis, Ditylenchus dipsaci and Heterodera glycines in vitro [19,20]. Serenade® is recommended as a soil treatment for managing soilborne and seedling diseases. B. amyloliquefaciens strains have shown antifungal activity against Fusarium oxysporum [21], Puccinia striiformis [22], Rhizoctonia solani [23], and Pythium aphanidermatum [24].

The term “root colonization” of PGPR describes the active growth of introduced bacteria on or around roots in the presence of indigenous microflora [1]. Research on PGPR as biocontrol agents shows that root colonization is a prerequisite for PGPR activity [25,26]. Therefore, quantification of root colonization by PGPR is an essential part of discovering and evaluating promising PGPR strains. Dilution-plate counting is a common method used in quantification of root colonizing bacteria. This method can be used successfully in gnotobiotic systems under sterile conditions [27]. However, dilution-plate counting could underestimate the number of bacteria associated with roots due to some of the cells failing to grow into colonies under the plating conditions [28]. The use of dilution-plating without a selective media is impracticable in the presence of native microflora. Furthermore, dilution-plating could be laborious and sample processing has to be carried out immediately after sampling. Therefore, a faster and more convenient quantification method should be able to differentiate the inoculated strain from indigenous rhizosphere bacterial community. Since standard microscopic methods and dilution-plate counting-based methods heavily rely on morphological characteristics of the bacteria, these methods are of limited value in quantification of PGPR root colonization where morphology is indistinguishable from other common microflora [1,27,28]. However, PGPR strains carrying antibiotic resistance determinants can also be used in dilution-plate method in the presence of native microflora. The use of PGPR strains genetically engineered to express fluorescent proteins is helpful in studying root colonization by PGPR under sterile conditions [29,30]. However, this method is of limited use under non-sterile conditions in greenhouse or in field, and for the use on wild-type strains.

The objective of this study was to develop a strain-specific molecular technique based on qPCR to detect and quantify root colonization of two PGPR strains B. amyloliquefaciens QST713 and B. firmus I-1582. We were able to quantifiy root colonization of B. amyloliquefaciens QST713 and B. firmus I-1582 strains in sterile soil, non-sterile soil in the greenhouse and non-sterile soil in the field.

Materials and methods

Bacterial strains and growth conditions

Bacillus amyloliquefaciens QST713 was previously described as Bacillus subtilis QST713. At the time of filing U.S. Patent Application No. 09/074,870 in 1998, the strain was designated as B. subtilis based on classical, physiological, biochemical and morphological methods. Taxonomy of the Bacillus species has evolved since then, especially in light of advances in genetics and sequencing technologies, such that species designation is based largely on DNA sequence rather than the methods used in 1998. Bayer is currently in the process of revising the B. subtilis designation of QST713, changing it to B. amyloliquefaciens, as would be expected currently based solely on genome sequence comparison and inferred taxonomy. For concordance with current taxonomic classification, the bacterial isolate formerly described as B. subtilis QST713 will be referred here as B. amyloliquefaciens QST713. B. firmus I-1582 and B. amyloliquefaciens QST713 were grown at 28°C with shaking at 150 rpm in Tryptic soy broth (TSB, pH 8.0) (BD Diagnostic Systems, Sparks, MD) from frozen glycerol stocks. Streptomycin (Sm)-resistant B. amyloliquefaciens QST713 (B. amyloliquefaciens QST713 –Sm) and rifampicin-resistant (Rif) B. firmus I-1582 (B. firmus I-1582-Rif) strains were grown in TSB or Tryptic soy agar (TSA) plates with streptomycin at 100 μg/ml (TSASm) or rifampicin at 100 μg/ml (TSARif). Spores of all Bacillus strains used in this study were produced by streaking 100 μL of two-day-old liquid cultures in sporulation media plates containing 3.3 g of Proteose peptone No. 3 (Becton, Dickinson and Company, Sparks, MD), 1.0 g of Beef extract powder (Neogen Corporation, Lansing, MI), 5.0 g of NaCl, 2.0 g of K2PO4, 1.0 g of KCl, 0.25 g of MgSO4, 0.01 g of MnSO4, 5.0 g of Lactose, 18.0 g of Agar (Becton, Dickinson and Company, Sparks, MD) in 1 L of MiliQ water. The sporulation plates were incubated for 2 weeks at 28°C.

Plant inoculation with bacterial treatments

Seed treatment.

A spore suspension of B. amyloliquefaciens QST713 or B. firmus I-1582 was obtained by adding sterile MiliQ water into several sporulation plates made as described above. The number of spores in the spore suspension was determined after heating the spore suspension at 80°C for 20 minutes in a water bath followed by dilution-plating. The spore suspension was then centrifuged at 13,000 rpm for 10 minutes to prepare a spore suspension with 2.5x108 spores in 125 μl. This spore suspension and 25 corn seeds were added to a ziplock bag. A bubble was formed at the bottom of the ziplock bag by twisting the top of the bag towards the bottom. The bag is then shaken to distribute spore suspension onto corn seeds. This step was repeated until there was no visible liquid droplets in the bag. Bags were kept open in the laminar flow hood to air dry (Breeanne Schillianskey, personal communication).

Growth chamber.

Corn seeds (2H723 Mycogen, Dow AgroSciences LLC, Indianapolis, IN) were treated with 107, 105 and 103 spores of B. firmus I-1582; or 106, 104 and 102 spores of B. amyloliquefaciens QST713 strains. Seeds were placed on sterile sand in 50 ml centrifuge tubes covered with aluminum foil and 1 ml of sterile water with corresponding amount of spores were drenched onto the seeds. Seeds were then covered with sterile sand and placed in growth chamber for 3 weeks. Two corn seedlings from each treatment were removed at 14 and 21 days after planting. Seedlings were watered once in every three days and temperature and relative humidity was maintained at 25o C and 75% in the growth chamber.

Greenhouse.

Corn seeds (2H723 Mycogen, Dow AgroSciences LLC, Indianapolis, IN) were treated with 107 spores of B. firmus I-1582 and B. amyloliquefaciens QST713 strains separately, and 107 spores of each strain together. Corn seeds were also treated with B. firmus I-1582-Rif and B. amyloliquefaciens QST713-Sm as described above. Seeds were then planted in sandy loam soil (pH = 7.4) in conetainers and grown in the greenhouse for 4 weeks. Three corn seedlings from each treatment were removed from the conetainer at 3, 7, 14, 21 and 28 days after planting.

Field.

Seeds from two commercial maize and soybean hybrids with herbicide tolerance traits were treated with 106 spores of either B. firmus I-1582 or B. amyloliquefaciens QST713 and grown in research fields of Crop Science Division, Bayer in Tifton, GA and Champaign, IL. Soybean and corn seedlings were carefully uprooted at 2 weeks after planting and shipped under cold storage to the De La Fuente lab at Auburn University. Root samples were processed and stored at -80o C in 50 ml centrifuge tubes until beadbeating and DNA extraction (see below).

DNA extraction from plant roots and in vitro cultures

Seedlings were removed from conetainers or conical tubes and shaken gently to remove loosely-attached soil from the roots. Approximately 5 g of roots were cut into 2–3 cm-long pieces and collected in a 7 ml plastic vial (BioSpec Products Inc, Bartlesville, OK) with 1.5–2 g of 2 mm Zirconia beads (BioSpec Products Inc, Bartlesville, OK). An aliquot of 2 ml of sterile water was added to each vial containing roots and Zirconia beads, secured in a Mini-BeadBeater-96 (BioSpec Products Inc, Bartlesville, OK), and shaken at 2,400 oscillations/min for 5 minutes. Beadbeated vials were then briefly centrifuged at 1,500 rpm for 1 second in an Eppendorf 5810R centrifuge (Eppendorf-Netheler-Hinz GmbH, Barkhausenweg, Germany). An aliquot of 200 μl of the supernatant was transferred to a ZR BashingBead Lysis Tube from ZR Soil Microbe DNA miniprep kit (Zymo Research Corporation, Irvine, CA) and bacterial DNA was extracted following manufacturer’s instructions. Quick-DNA™ Fungal/Bacterial Miniprep Kit (Zymo Research Corporation, Irvine, CA) was used to extract DNA from batch cultures.

Bioinformatics approach for finding unique region for Bacillus firmus I-1582

To determine a fragment of the strain’s genome, which is unique relative to other strains in the B. firmus species, an in-house computational protocol was developed. This protocol essentially used NCBI’s BLAST tool (version 2.2.28+) to align whole genomes from alternate strains in B. firmus to the genome of the strain B. firmus I-1582. Genomic regions in the reference B. firmus I-1582 were then identified by fitting a profile of having at most 60% of the bases mapped to by any given alternate strain used in the analysis and meeting a minimum length requirement of 5,000 bp.

Bioinformatics approach for finding unique region for Bacillus amyloliquefaciens QST713

To determine a unique region in the genome of the strain B. amyloliquefaciens QST713 which is not observed in most other B. amyloliquefaciens genomes available, a slightly different algorithm was devised. The reason for doing so was that the method used for finding a unique region in B. firmus I-1582 did not work at identifying such a region in B. amyloliquefaciens QST713. The new method devised here targeted to find the “most” unique region in B. amyloliquefaciens QST713 relative to other B. amyloliquefaciens. Similar to the other approach a binary matrix was first constructed where the rows consisted of every position in the reference genome and the columns were alternate B. amyloliquefaciens strains in our strain collection. In such a matrix, a value of 1 was used to indicate that a certain position in B. amyloliquefaciens QST713’s genome (row) was mapped upon by a given alternate strain (column) by a local alignment which had an expected value of 1e-12. A value of 0 was used to show that the position was not mapped to that alternate strain. Afterwards, the reference genome was scanned with a sliding window of size 250 bp, to increase sensitivity, and the windows with the least number of alternate B. amyloliquefaciens mapping to them were logged. These windows overlapped and a single 351 bp region was identified as being the “most” unique for the strain B. amyloliquefaciens QST713. Further searching NCBI’s nt database for the region, revealed that only 1 of 50 publicly available genomes in the B. amyloliquefaciens species, regarding strain G341, seemed to possess this region. Additionally, the region was also found in strain D2-2, which is one out of 68 B. velezensis publically available genomes,.

qPCR assays

qPCR primers and TaqMan® probes were designed using PrimerQuest software (Integrated DNA Technologies, Inc) available online (Table 1). qPCR was performed in a final volume of 20 μl in the CFX96 Real-Time PCR Detection System (Bio-Rad Laboratories Inc, Hercules, CA). Three μl of extracted DNA, as described above, was amplified with forward and reverse primers, Taqman® probe (Eurofins MWG Operon LLC, Chicago, IL) and PerfeCTa Multiplex qPCR ToughMix Low ROX (Quantabio, Beverly, MA). Final concentrations of primers and probe were 250 nM and 150 nM respectively for both B. firmus I-1582 and B. amyloliquefaciens QST713. PCR amplification conditions: 95o C for 15 min; 39 cycles of 95o C for 15 s and 58 o C for 1 min.

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Table 1. Primers and probes used in this study specific to B. firmus I-1582 and B. amyloliquefaciens QST713.

https://doi.org/10.1371/journal.pone.0193119.t001

Quantification of bacteria

Numbers of B. firmus I-1582 or B. amyloliquefaciens QST713 bacteria associated with corn roots was quantified using standard curves constructed from spore suspensions of B. firmus I-1582 or B. amyloliquefaciens QST713 spiked with corn roots and root-associated soil, as described above. Serial dilutions of spores (101 to 109 cfu/ml spores) of B. firmus I-1582 or B. amyloliquefaciens QST713 were added to 5 g of corn roots with 2 mm Zirconia beads in a 7 ml plastic vial. Bacterial DNA was extracted as described above. qPCR was performed as described above and Cq values from qPCR data for each serial dilution was plotted against the log value of the number of spores in the serial dilution to get the standard curve. % efficiency was calculated by the Bio-Rad CFX Manager 3.1 software (Bio-Rad Laboratories Inc, Hercules, CA) from the amplification efficiency (E) using the formula, % Efficiency = (E—1) * 100. Amplification efficiency of the qPCR reaction was calculated using the formula E = 10 (-1/slope) -1 [31]. % efficiency of 100% means perfect doubling of products with every cycle.

Nucleotide sequence accession numbers

The GenBank accession numbers for the target DNA sequences generated here and used for strain-specific qPCR are MG581691 for strain B. firmus I-1582 and MG581692 for strain B. amyloliquefaciens QST713.

Statistical analysis

Populations of bacteria treated with three initial inoculums in growth chambers over three weeks were compared using logistic regression analysis as bacteria counts were not normally distributed. Data analysis for greenhouse experiments and field experiments were performed by repeated measures analysis of variance (ANOVA) and two-way ANOVA respectively using SPSS software (SPSS Inc., 2016). Wild-type and antibiotic resistant strains were analyzed together when comparing both qPCR and dilution-plating. Data was normalized using natural log transformation prior to repeated measures analysis. Two-way ANOVA were conducted with normalized bacteria strain (natural log transformed), variety of corn and soybean, and their interactions as factors. Tukey’s HSD post hoc test was used to compare the means of statistically significant factors.

Results

Construction of standard curves for bacterial population quantification

Two standard curves were constructed to quantify B. firmus I-1582 and B. amyloliquefaciens QST713 cells associated with corn and soybean roots. A B. firmus I-1582 spore suspension of 6.6 x 108 cfu/ml was used to construct B. firmus I-1582 standard curve. Seven serial dilutions ranging from 6.6 x 108 to 6.6 x 102 cfu/ml, covering 6 orders of magnitude was used in the standard curve. The efficiency was 91.2% and the coefficient of correlation (R2) was 1.000 for B. firmus I-1582 standard curve (Fig 1). Similarly, a B. amyloliquefaciens QST713 spore suspension of 4.9 x 109 cfu/ml was used to construct B. amyloliquefaciens QST713 standard curve. Eight serial dilutions ranging from 4.9 x 109 to 4.9 x 102 cfu/ml, covering 7 orders of magnitude was used in the standard curve. The efficiency was 93.0% and the coefficient of correlation (R2) was 0.995 for B. amyloliquefaciens QST713 standard curve (Fig 1).

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Fig 1. qPCR standard curves of B. firmus I-1582 and B. amyloliquefaciens QST713.

Standard curves were plotted from Cq values obtained by qPCR of spiked spore suspensions of B. firmus I-1582 and B. amyloliquefaciens QST713. Spiked spore suspensions were prepared from adding 5 g of corn roots and associated soil into 2 ml of spore suspensions with known CFU.

https://doi.org/10.1371/journal.pone.0193119.g001

Quantification of specific bacterial strains in corn roots in growth chamber assays

As shown in Fig 2, bacterial populations were detected in most cases in corn roots for both B. firmus I-1582 and B. amyloliquefaciens QST713. Populations at time = 0 were calculated based on initial inoculum applied to seeds. Both strains showed continuous root colonization up to 3 weeks after planting for all treatments. No significant differences (P = 0.318) were observed for populations of bacteria over time considering each initial inoculum and strain separately at day 14 and day 21. The exception was the treatment with 102 spores of B. amyloliquefaciens QST713 (BA-102), that was not detected in corn seedlings at days 14 and 21 (Fig 2). This may be due to the presence of lower number of bacteria on the roots below the detection limit of this assay.

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Fig 2. Quantification of root associated bacteria in corn seedlings grown under sterile conditions in growth chambers.

Corn seeds were treated with 107 (BF-107), 105 (BF-105), or 103 (BF-103) spores of B. firmus I-1582; and 106 (BA-106), 104 (BA-104), or 102 (BA-102) spores of B. amyloliquefaciens QST713 per seed. Root sampling was carried out at 14 and 21 days after planting (n = 2). Number of cells at t = 0 days was estimated based on the initial seed treatment. ND = non-detectable.

https://doi.org/10.1371/journal.pone.0193119.g002

Quantification of wild-type and antibiotic-resistant strains in corn roots in greenhouse assays

As shown in Fig 3, B. amyloliquefaciens QST713 and B. firmus I-1582 wild-type and antibiotic resistant strains associated with corn roots were detectable up to 4 weeks using the qPCR protocol. Presence of indigenous microflora in soil or inoculation with another PGPR strain did not interfere with quantification. When populations of B. firmus I-1582 were quantified with specific primers, there was no significant difference (P = 0.548) in the number of wild-type B. firmus I-1582 bacteria inoculated alone or 1:1 mixture with B. amyloliquefaciens QST713 at all data points. We observed that B. firmus I-1582 bacteria inoculated alone had significantly higher B. firmus I-1582 bacteria population compared to 1:1 mixture with B. amyloliquefaciens QST713 at day 21 based on the 95% confidence intervals at that particular time point (Fig 3A). There was no significant difference (P = 0.548) in number of B. firmus I-1582-Rif bacteria detected in corn seedlings inoculated with this strain alone or as a mixture (1:1) with B. amyloliquefaciens QST713-Sm at all data points (Fig 3B).

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Fig 3. Quantification of root associated bacteria in corn seedlings grown in natural soil in the greenhouse.

Corn seeds were treated on each case with: (A) 107 spores of B. firmus I-1582 alone (T1), mixed with 107 spores of B. amyloliquefaciens QST713 (T2) or non-treated (T3); (B) 107 spores of B. firmus I-1582-Rif alone (T1), mixed with 107 spores of B. amyloliquefaciens QST713-Sm (T2), or non-treated (T3); (C) 107 spores of wild-type B. amyloliquefaciens QST713 alone (T1), mixed with 107 spores of B. firmus I-1582 (T2), or non-treated (T3). (D) 107 spores of B. amyloliquefaciens QST713-Sm alone (T1), mixed with 107 spores of B. firmus I-1582-Rif (T2), or non-treated (T3). In (A) and (B) B. firmus I-1582 specific primers and probe were used for qPCR bacterial population determination; while in (C) and (D) B. amyloliquefaciens QST713 specific primers and probe were used for qPCR (n = 3 seedlings/time point and error bars show SE). Repeated measures analysis of variance was performed at each data point comparing T1 and T2, Tukey’s HSD post hoc test was used to compare the means of statistically significant factors. Symbol * indicates time points that do not overlap 95% confidence intervals between T1 and T2 treatments.

https://doi.org/10.1371/journal.pone.0193119.g003

There was no significant difference (P = 0.208) in number of wild-type B. amyloliquefaciens QST713 bacteria detected in corn seedlings inoculated alone or as a 1:1 mixture with wild-type B. firmus I-1582 (Fig 3C). Similar results were found when antibiotic-resistant strains were used. There was no significant difference (P = 0.208) in number of B. amyloliquefaciens QST713-Sm bacteria detected in corn seedlings inoculated alone or as a 1:1 mixture with B. firmus I-1582-Rif (Fig 3D).

Comparing our qPCR protocol with dilution-plating of wild-type strains was investigated, but it was difficult to distinguish B. firmus I-1582 or B. amyloliquefaciens QST713 colonies from other soil bacteria colonies in TSA plates (Fig 4). Therefore, we decided to use antibiotic-resistant strains for comparison, since population dynamics of wild-type and antibiotic-resistant derivatives were similar (Fig 3A vs. 3B, 3C vs. 3D).

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Fig 4. Comparison of bacteria colony morphology on TSA plates.

(A) B. firmus I-1582 colonies from pure culture (B) B. amyloliquefaciens QST713 colonies from pure culture (C) Rhizosphere bacteria from untreated corn seedlings (D) Rhizosphere bacteria from B. firmus I-1582 treated corn seedlings (E) Rhizosphere bacteria from B. amyloliquefaciens QST713 treated corn seedlings.

https://doi.org/10.1371/journal.pone.0193119.g004

Numbers of bacteria associated with corn roots were estimated for B. firmus I-1582-Rif and B. amyloliquefaciens QST713-Sm strains by qPCR and dilution-plating to compare the two techniques (Fig 5A and 5B, respectively). There was no significant difference (P = 0.138) in the number of B. firmus I-1582-Rif bacteria estimated from qPCR quantification and dilution-plating at all the data points. We observed that qPCR quantification estimated a significantly higher number of B. firmus I-1582 compared to dilution-plating at day 14, and day 21 in corn seedlings treated with B. firmus I-1582-Rif alone and as a mixture (1:1) with B. amyloliquefaciens QST713-Sm based on the 95% confidence intervals at that particular time points (T1 and T2, Fig 5A).

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Fig 5. Comparison of bacteria root colonization of greenhouse grown corn seedlings by qPCR and dilution-plating.

(A), B. firmus I-1582-Rif and (B), B. amyloliquefaciens QST713-Sm were quantified by qPCR and dilution-plating on TSARif and TSASm plates, respectively. Corn seeds were treated with 107 spores of each strain inoculated alone (T1), 107 spores of each strain mixed together (T2) or non-treated (T3) as described in the methods. Values represent means and error bars show standard error (n = 3 seedlings/time point). Repeated measures analysis of variance was performed separately for T1 and T2 for each data point comparing qPCR and plating measurements. Symbol * indicates time points that do not overlap 95% confidence intervals between qPCR and plating for both T1 and T2 treatments. Symbol + indicates time points that do not overlap 95% confidence intervals between qPCR quantification and dilution-plating only for T2.

https://doi.org/10.1371/journal.pone.0193119.g005

There were no significant difference (P = 1.852) in the numbers of B. amyloliquefaciens QST713-Sm bacteria estimated from qPCR quantification and dilution-plating at all data points (day 3, day 7, day 14, day 21 and day 38) when corn seedlings were treated with B. amyloliquefaciens QST713-Sm alone (T1). Similarly, there were no significant differences (P = 0.852) in the numbers of B. amyloliquefaciens QST713-Sm bacteria estimated from qPCR quantification and dilution-plating at all data points when bacteria was inoculated as part of a mixture (1:1) of B. amyloliquefaciens QST713-Sm and B. firmus I-1582-Rif (T2). We observed that dilution-plating estimated a significantly higher number of B. amyloliquefaciens QST713-Sm compared to qPCR quantification at day 7 and day 21 in corn seedlings treated as a mixture (1:1) of B. amyloliquefaciens QST713-Sm and B. firmus I-1582-Rif (T2) based on the 95% confidence intervals at that particular time points (Fig 5B).

Quantification of specific bacterial strains in corn and soybean in US field trials of Crop Science Division, Bayer

Root colonization of soybean and corn by wild-type B. amyloliquefaciens QST713 and B. firmus I-1582 was quantified in the field. There was no significant difference (P = 0.387) in the number of B. firmus I-1582 or B. amyloliquefaciens QST713 bacteria associated with two corn varieties tested in field trials (Fig 6A and 6B). Similarly, there was no significant difference (P = 0.665) in the number of B. firmus I-1582 or B. amyloliquefaciens QST713 bacteria associated with two soybean varieties (Fig 7A and 7B). According to these results, both B. firmus I-1582 and B. amyloliquefaciens QST713 do not show a significant variety dependent or plot level differences in corn and soybean root colonization. Fig 6 and Fig 7 confirm that our qPCR protocol can be successfully applied to quantitate root colonization by PGPR in multiple crops grown in the field. In addition, B. firmus I-1582-treated corn and soybean seedlings were analyzed with B. amyloliquefaciens QST713 specific primers; and B. amyloliquefaciens QST713-treated corn and soybean seedlings with B. firmus I-1582 specific primers, to see if there was any cross-reaction or contamination. According to qPCR results, there was no cross-reaction or contamination in B. firmus I-1582 treated corn and soybean seedlings and B. amyloliquefaciens QST713 treated corn and soybean seedlings.

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Fig 6. Root colonization of field grown corn seedlings by B. firmus I-1582 and B. amyloliquefaciens QST713.

Corn seeds were treated with (A) 106 spores of B. firmus I-1582 (T1 and T2) and (B) 106 spores of B. amyloliquefaciens QST713 (T1 and T2). T3 = uninoculated. qPCR quantification was performed with B. firmus I-1582 or B. amyloliquefaciens QST713 specific primers and probe using a standard curve. Error bars show Standard Error (n = 5 seedlings). Same letters on top of bars represent non-significant differences (P = 0.387) for each variety according to two-way ANOVA.

https://doi.org/10.1371/journal.pone.0193119.g006

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Fig 7. Root colonization of field grown soybean seedlings B. firmus I-1582 and B. amyloliquefaciens QST713.

Soybean seeds were treated with (A) 106 spores of B. firmus I-1582 (T1 and T2) and (B) 106 spores of B. amyloliquefaciens QST713 (T1 and T2). T3 = uninoculated. qPCR quantification was performed with B. firmus I-1582 or B. amyloliquefaciens QST713 specific primers and probes using a standard curve. Error bars show Standard Error. (n = 5 seedlings). Same letters on top of bars represent non-significant differences (P = 0.665) for each variety according to two-way ANOVA.

https://doi.org/10.1371/journal.pone.0193119.g007

Discussion

The aim of this study was to develop a qPCR-based protocol to quantitate total root colonization by two PGPR strains, B. firmus I-1582 and B. amyloliquefaciens QST713 in corn seedlings grown in natural soil. Quantification of root colonization by PGPR is an essential part of tracking inoculants in the field, allowing studies of persistence and understanding of environmental fate of introduced microbes applied in the soil, as well as discovering and evaluating potential PGPR strains. With more interest in preserving soil health and exploiting soil microbiome, there are more microbe-based seed and soil products being made available to the growers, therefore differentiating strains and products is fundamental for the evaluation of the environmental impact of these inoculants. Despite several microscopy and PCR based quantification methods described recently and in the past, dilution-plate counting is still the most common method used in quantification of root colonization by PGPR bacteria in greenhouse and in field under non-sterile soil. One of the common drawbacks of PCR based methods is that these methods are not applicable to non-sterile conditions in greenhouse or in field [27]. However, dilution-plate counting is laborious, and sample processing and plating has to be carried out immediately after sampling. Therefore, a faster and more convenient quantification method to quantitate root and rhizosphere colonization of PGPR is required. The method we describe here to quantitate root colonization of PGPR can successfully replace dilution-plate counting method and has the advantage of being strain-specific.

This is the first comprehensive report describing a strain-specific qPCR based protocol to quantitate PGPR strains associated with crops grown in non-sterile soil and under field conditions. Previously described PCR based quantification protocols were not strain-specific or required laborious processing such as root washing step to minimize interference from natural microflora associated with roots or bacteria enrichment steps [3235]. Root washing could potentially lead to a loss of root-associated bacteria of interest together with native microflora. With strain-specific primers and probes, we were able to bypass the requirement of root washing step. The method of recovering inoculated bacteria from roots is an important part of any quantification technique. Presumably, soil particles loosely attached to roots may contain several log units higher of the inoculated bacteria than in the rhizosphere soil without roots [1]. Therefore, we used a gentle root shaking in our protocol to remove loosely attached soil particles to provide a more accurate estimate of root colonization. However, increasing soil mass attached to roots does not significantly increase estimation of inoculated bacteria population densities [36]. Therefore, gentle shaking of roots would not lead to a significant loss of bacteria of interest and result in lower qPCR detection limit.

Couillerot and Bouffaud et al. described an Azospirillum lipoferum CRT1 strain-specific qPCR based protocol [37]. Their protocol required laborious sample processing such as lyophilization and the detection limit was 4 x 104 cells per g, which is a higher detection limit compared to protocol described here. Therefore, they were only able to quantitate A. lipoferum CRT1 in maize rhizosphere up to 10 days in non-sterile soil. Pereira et al. have recently described a Herbaspirillum seropedicae SmR1 strain-specific qPCR protocol to quantitate root colonization of maize in sterile conditions. However they were only able to detect H. seropedicae SmR1 in maize roots in non-sterile soil and did not perform any quantification of bacteria [38]. Von Felten et al described a qPCR protocol to detect 3 Pseudomonas fluorescens strains in maize rhizosphere. Their protocol requires a 24-hour lyophilization step before DNA extraction from maize roots and associated soil [39]. Mosimann et al also described a qPCR protocol to detect 2 Pseudomonas strains [40]. They have used 3 different potting mixes instead of natural soil to plant maize seedlings. Potting soil could be much more homogenious and it could contain far less native microflora compared to natural soil [39] However, both Von Felten et al and Mosimann have not shown that their qPCR protocols could successfully analyze and quantitate respective PGPR strains in natural soils in field conditions.

Previous studies have compared strain-specific qPCR protocols with dilution-plating [37]. However, these studies were carried out in sterile soil. Competition and interference from native microflora could affect root colonization pattern of PGPR as well as detection limits of the qPCR protocol. Therefore, we compared our qPCR results with dilution-plating with B. firmus I-1582-Rif and B. amyloliquefaciens QST713-Sm strains (Fig 5). Estimation of root colonization by dilution-plating could underestimate the actual value if some of the cells fail to develop into colonies. We did not observe a significantly different (P = 0.138) estimation of root colonization of B. firmus I-1582-Rif with dilution-plating compared to that of qPCR estimation for three out of five root samplings days up to 28 days when corn seedlings were treated with B. firmus I-1582-Rif alone or as a mixture (1:1) with B. amyloliquefaciens QST713-Sm. There was no significant difference (P = 0.852) in estimation of root colonization of B. amyloliquefaciens QST713-Sm with dilution-plating compared to that of qPCR estimation for three out of five root samplings up to 28 days when corn seedlings were treated with a mixture (1:1) comprisingB. amyloliquefaciens QST713-Sm and B. firmus I-1582-Rif. Furthermore, we did not observe a significant difference (P = 0.852) in estimation of B. amyloliquefaciens QST713-Sm in qPCR quantification compared to dilution-plating at all time root samplings when corn seedlings were treated with B. amyloliquefaciens QST713-Sm alone. However, there were few data points where qPCR quantification resulted in significantly higher estimation of B. firmus I-1582-Rif compared to that of dilution-plating when considered 95% confidence intervals (Fig 5A). High qPCR estimation of B. firmus I-1582-Rif could result from amplification of DNA from dead cells, lack of germination of spores in media used, or the possibility of a state similar to viable but non culturable. Although less frequent than high qPCR estimation compared to dilution-plating, there were two incidences out of ten pairwise comparisons where dilution-plating resulted in higher estimation of B. amyloliquefaciens QST713-Sm compared to that of qPCR quantification, only in cases where this strain was co-inoculated with B. firmus I-1582-Rif (T2, Fig 5B). A possible explanation could be that the reduction in population of B. amyloliquefaciens QST713-Sm is only detectable by qPCR in soils, but when growing alone in plates due to antibiotic selection, without competing with B. firmus I-1582-Rif, that reduction in population is lost These aspects will be studied in future research aimed to elucidate the basis for these differences.

We were able detect as low as 103 CFU/g using our qPCR protocol (Figs 1 and 2). Even though we investigated this protocol extensively in corn, results obtained from field-grown soybean show that this protocol could be applied to investigate root colonization of the same bacteria strains in other crop species without any modifications (Fig 7). Use of this method is advantageous for large field trials, as this protocol requires minimal processing prior to long-term storage of roots at -80o C. Furthermore, we did not observe any cross-reaction of primer pairs or cross-contamination of the two strains used in this study. Therefore, our protocol is suitable to investigate interactions of two or more PGPR strains in a single crop.

We obtained whole root systems during sample processing whenever possible as it would give maximum amount of information about root colonization [1]. We had to obtain representative segments of root system during latter stages of the greenhouse experiments since root mass was higher than 5 g. We have expressed root colonization of B. firmus I-1582 and B. amyloliquefaciens QST713 strains in corn and soybean roots as number of cells per gram of roots since we were interested in quantifying total root colonization. More soil particles could be attached to roots if the soil is moist. That could result in underestimation of bacteria populations since the root surface has higher bacterial population densities than adjacent soil [1,41]. We avoided excessive soil moisture during root sampling and selected approximately 5 g of roots whenever possible to prevent underestimation of root-associated bacteria.

According to our results, we were able to quantitate root colonization of B. amyloliquefaciens QST713 and B. firmus I-1582 in corn seedlings grown in greenhouse and in field in non-sterile soil. Using dilution-plating of B. amyloliquefaciens QST713-Sm and B. firmus I-1582-Rif strains, we were able to show that our qPCR quantification was accurate. Furthermore, this protocol can be successfully extended to quantification of other bacteria strains in other crops. Our qPCR protocol is also suitable to quantitate both total root colonization as well as internal and external root colonization, provided the number of bacteria falls within detection limits of our qPCR protocol.

We have studied corn root colonization of B. firmus I-1582 and B. amyloliquefaciens QST713 strains over 4 weeks in non-sterile soil. We observed a steady root colonization in corn roots by both B. firmus I-1582 and B. amyloliquefaciens QST713 strains over 28 days. We have also included mixed inoculations of B. firmus I-1582 and B. amyloliquefaciens QST713 together. Presence of B. firmus I-1582 or B. amyloliquefaciens QST713 in the rhizosphere did not affect the final population size of either B. amyloliquefaciens QST713 or B. firmus I-1582 at day 28. We have not investigated these two strains together in a single crop in field. Further investigation of mixed inoculations of B. firmus I-1582 and B. amyloliquefaciens QST713 in field would provide more information on each strains root colonization pattern regarding any distinct niches in the corn rhizosphere or if there are any antagonistic effects between two strains.

Acknowledgments

We thank Mr. Reid McClenny and Mr. Elliot Ordoyne (Auburn University, USA) for their assistance in greenhouse experiments, Mr. John McInroy (Auburn University, USA) for helpful suggestions throughout this work and for providing rifampicin-resistant B. firmus I-1582 and sporulation protocol, Ms. Jennifer Parker (Auburn University, USA; currently at Colorado State University, USA) for designing B. firmus I-1582 specific primers and Taqman® probe, Dr. Ping Huang for his assistance with greenhouse experiments, Dr. Kathy Lawrence, Dr. Ni Xiang and Mr. Hongyu Chen (Auburn University, USA) for their assistance with growth chamber experiments and Ms. Qing Ge for her assistance in DNA extractions from field grown corn and soybean roots, Mr. Kevin Bugg, Mr. Nate Bestor and Mr. Scott Russell (Crop Science Division, Bayer) for collecting and shipping corn and soybean roots from field trials.

References

  1. 1. Kloepper JW, Beauchamp CJ (1992) A review of issues related to measuring colonization of plant roots by bacteria. Canadian Journal of Microbiology 38: 1219–1232.
  2. 2. Podile AR, Kishore GK (2007) Plant growth-promoting rhizobacteria. Plant-associated bacteria: Springer. pp. 195–230.
  3. 3. Saharan B (2011) Plant growth promoting rhizobacteria: a critical review. Life Sciences and Medicine Research.
  4. 4. Hurek T, Reinhold-Hurek B (2003) Azoarcus sp. strain BH72 as a model for nitrogen-fixing grass endophytes. Journal of Biotechnology 106: 169–178. pmid:14651859
  5. 5. Kumar A, Prakash A, Johri B (2011) Bacillus as PGPR in crop ecosystem. Bacteria in agrobiology: crop ecosystems: Springer. pp. 37–59.
  6. 6. Hayat R, Ali S, Amara U, Khalid R, Ahmed I (2010) Soil beneficial bacteria and their role in plant growth promotion: a review. Annals of Microbiology 60: 579–598.
  7. 7. Glick BR (1995) The enhancement of plant growth by free-living bacteria. Canadian Journal of Microbiology 41: 109–117.
  8. 8. Glick BR, Patten CL, Holguin G, Penrose D (1999) Biochemical and genetic mechanisms used by plant growth promoting bacteria: World Scientific.
  9. 9. Babu AN, Jogaiah S, Ito S, Nagaraj AK, Tran LSP (2015) Improvement of growth, fruit weight and early blight disease protection of tomato plants by rhizosphere bacteria is correlated with their beneficial traits and induced biosynthesis of antioxidant peroxidase and polyphenol oxidase. Plant Science 231: 62–73. pmid:25575992
  10. 10. Kloepper JW, Ryu C-M, Zhang S (2004) Induced systemic resistance and promotion of plant growth by Bacillus spp. Phytopathology 94: 1259–1266. pmid:18944464
  11. 11. Jogaiah S, Abdelrahman M, Tran LSP, Ito Si Different mechanisms of Trichoderma virens‐mediated resistance in tomato against Fusarium wilt involve the jasmonic and salicylic acid pathways. Molecular Plant Pathology.
  12. 12. Abdelrahman M, Abdel-Motaal F, El-Sayed M, Jogaiah S, Shigyo M, et al. (2016) Dissection of Trichoderma longibrachiatum-induced defense in onion (Allium cepa L.) against Fusarium oxysporum f. sp. cepa by target metabolite profiling. Plant Science 246: 128–138. pmid:26993243
  13. 13. Jogaiah S, Shivanna RK, Gnanaprakash PH, Hunthrike SS (2010) Evaluation of plant growth-promoting rhizobacteria for their efficiency to promote growth and induce systemic resistance in pearl millet against downy mildew disease. Archives of Phytopathology and Plant Protection 43: 368–378.
  14. 14. Arrebola E, Jacobs R, Korsten L (2010) Iturin A is the principal inhibitor in the biocontrol activity of Bacillus amyloliquefaciens PPCB004 against postharvest fungal pathogens. Journal of Applied Microbiology 108: 386–395. pmid:19674188
  15. 15. Chen X-H, Koumoutsi A, Scholz R, Borriss R (2008) More than anticipated–production of antibiotics and other secondary metabolites by Bacillus amyloliquefaciens FZB42. Journal of molecular microbiology and biotechnology 16: 14–24. pmid:18957859
  16. 16. Joshi R, McSpadden Gardener BB (2006) Identification and characterization of novel genetic markers associated with biological control activities in Bacillus subtilis. Phytopathology 96: 145–154. pmid:18943917
  17. 17. Pérez-García A, Romero D, De Vicente A (2011) Plant protection and growth stimulation by microorganisms: biotechnological applications of Bacilli in agriculture. Current Opinion in Biotechnology 22: 187–193. pmid:21211960
  18. 18. Castillo JD, Lawrence KS, Kloepper JW (2013) Biocontrol of the reniform nematode by Bacillus firmus GB-126 and Paecilomyces lilacinus 251 on cotton. Plant Disease 97: 967–976.
  19. 19. Terefe M, Tefera T, Sakhuja P (2009) Effect of a formulation of Bacillus firmus on root-knot nematode Meloidogyne incognita infestation and the growth of tomato plants in the greenhouse and nursery. Journal of invertebrate pathology 100: 94–99. pmid:19041655
  20. 20. Mendoza AR, Kiewnick S, Sikora RA (2008) In vitro activity of Bacillus firmus against the burrowing nematode Radopholus similis, the root-knot nematode Meloidogyne incognita and the stem nematode Ditylenchus dipsaci. Biocontrol Science and Technology 18: 377–389.
  21. 21. Yuan J, Ruan Y, Wang B, Zhang J, Waseem R, et al. (2013) Plant growth-promoting rhizobacteria strain Bacillus amyloliquefaciens NJN-6-enriched bio-organic fertilizer suppressed Fusarium wilt and promoted the growth of banana plants. Journal of agricultural and food chemistry 61: 3774–3780. pmid:23541032
  22. 22. Reiss A, Jørgensen LN (2017) Biological control of yellow rust of wheat (Puccinia striiformis) with Serenade® ASO (Bacillus subtilis strain QST713). Crop Protection 93: 1–8.
  23. 23. Asaka O, Shoda M (1996) Biocontrol of Rhizoctonia solani damping-off of tomato with Bacillus subtilis RB14. Applied and environmental microbiology 62: 4081–4085. pmid:16535440
  24. 24. Leclère V, Béchet M, Adam A, Guez J-S, Wathelet B, et al. (2005) Mycosubtilin overproduction by Bacillus subtilis BBG100 enhances the organism's antagonistic and biocontrol activities. Applied and environmental microbiology 71: 4577–4584. pmid:16085851
  25. 25. Chin-A-Woeng TF, Bloemberg GV, Mulders IH, Dekkers LC, Lugtenberg BJ (2000) Root colonization by phenazine-1-carboxamide-producing bacterium Pseudomonas chlororaphis PCL1391 is essential for biocontrol of tomato foot and root rot. Molecular plant-microbe interactions 13: 1340–1345. pmid:11106026
  26. 26. Kamilova F, Validov S, Azarova T, Mulders I, Lugtenberg B (2005) Enrichment for enhanced competitive plant root tip colonizers selects for a new class of biocontrol bacteria. Environmental Microbiology 7: 1809–1817. pmid:16232295
  27. 27. Simons M, van der Bij AJ, Brand I, de Weger LA, Wijffelman CA, et al. (1996) Gnotobiotic system for studying rhizosphere colonization by plant growth-promoting Pseudomonas bacteria. Molecular plant-microbe interactions: MPMI 9: 600–607. pmid:8810075
  28. 28. Schmidt E, Paul E (1982) Microscopic methods for soil microorganisms. Methods of Soil Analysis Part 2 Chemical and Microbiological Properties: 803–814.
  29. 29. Fan B, Chen XH, Budiharjo A, Bleiss W, Vater J, et al. (2011) Efficient colonization of plant roots by the plant growth promoting bacterium Bacillus amyloliquefaciens FZB42, engineered to express green fluorescent protein. Journal of Biotechnology 151: 303–311. pmid:21237217
  30. 30. Huang X, Zhang N, Yong X, Yang X, Shen Q (2012) Biocontrol of Rhizoctonia solani damping-off disease in cucumber with Bacillus pumilus SQR-N43. Microbiological Research 167: 135–143. pmid:21775112
  31. 31. Rasmussen R (2001) Quantification on the LightCycler. Rapid cycle real-time PCR, methods and applications 1: 21–34.
  32. 32. Lahlali R, Peng G, Gossen B, McGregor L, Yu F, et al. (2013) Evidence that the biofungicide Serenade (Bacillus subtilis) suppresses clubroot on canola via antibiosis and induced host resistance. Phytopathology 103: 245–254. pmid:23113546
  33. 33. McSpadden Gardener BB, Gutierrez LJ, Joshi R, Edema R, Lutton E (2005) Distribution and biocontrol potential of phlD+ pseudomonads in corn and soybean fields. Phytopathology 95: 715–724. pmid:18943789
  34. 34. Mavrodi DV, Landa BB, Thomashow LS, Weller DM (2006) phlD‐based genetic diversity and detection of genotypes of 2, 4‐diacetylphloroglucinol‐producing Pseudomonas fluorescens. FEMS Microbiology Ecology 56: 64–78. pmid:16542406
  35. 35. Mavrodi OV, Mavrodi DV, Thomashow LS, Weller DM (2007) Quantification of 2, 4-diacetylphloroglucinol-producing Pseudomonas fluorescens strains in the plant rhizosphere by real-time PCR. Applied and environmental microbiology 73: 5531–5538. pmid:17630311
  36. 36. Parke J, Liddell C, Clayton M (1990) Relationship between soil mass adhering to pea taproots and recovery of Pseudomonas fluorescens from the rhizosphere. Soil Biology and Biochemistry 22: 495–499.
  37. 37. Couillerot O, Bouffaud M-L, Baudoin E, Muller D, Caballero-Mellado J, et al. (2010) Development of a real-time PCR method to quantify the PGPR strain Azospirillum lipoferum CRT1 on maize seedlings. Soil Biology and Biochemistry 42: 2298–2305.
  38. 38. Pereira TP, Do Amaral FP, Dall’Asta P, Brod FCA, Arisi ACM (2014) Real-time PCR quantification of the plant growth promoting bacteria Herbaspirillum seropedicae strain SmR1 in maize roots. Molecular biotechnology 56: 660–670. pmid:24563376
  39. 39. Von Felten A, Défago G, Maurhofer M (2010) Quantification of Pseudomonas fluorescens strains F113, CHA0 and Pf153 in the rhizosphere of maize by strain-specific real-time PCR unaffected by the variability of DNA extraction efficiency. Journal of microbiological methods 81: 108–115. pmid:20153383
  40. 40. Mosimann C, Oberhänsli T, Ziegler D, Nassal D, Kandeler E, et al. (2016) Tracing of two pseudomonas strains in the root and rhizoplane of maize, as related to their plant growth-promoting effect in contrasting soils. Frontiers in microbiology 7.
  41. 41. Liddell C, Parke J (1989) Enhanced colonization of pea taproots by a fluorescent pseudomonad biocontrol agent by water infiltration into soil. Phytopathology 79: 1327–1332.