Development of amplified fragment length polymorphism-derived functional strain-specific markers to assess the persistence of 10 bacterial strains in soil microcosms

Real-Time PCR (qtPCR) to Discover the Fate of Plant Growth-Promoting Rhizobacteria (PGPR) in Agricultural Soils

To optimize the application of plant growth-promoting rhizobacteria (PGPR) in field trials, tracking methods are needed to assess their shelf life and to determine the elements affecting their effectiveness and their interactions with plants and native soil microbiota. This work developed a real-time PCR (qtPCR) method which traces and quantifies bacteria when added as microbial consortia, including five PGPR species: Burkholderia ambifaria, Bacillus amyloliquefaciens, Azotobacter chroococcum, Pseudomonas fluorescens, and Rahnella aquatilis. Through a literature search and in silico sequence analyses, a set of primer pairs which selectively tag three bacterial species (B. ambifaria, B. amyloliquefaciens and R. aquatilis) was retrieved. The primers were used to trace these microbial species in a field trial in which the consortium was tested as a biostimulant on two wheat varieties, in combination with biochar and the mycorrhizal fungus Rhizophagus intraradices. The qtPCR assay demonstrated that the targeted bacteria had colonized and grown into the soil, reaching a maximum of growth between 15 and 20 days after inoculum. The results also showed biochar had a positive effect on PGPR growth. In conclusion, qtPCR was once more an effective method to trace the fate of supplied bacterial species in the consortium when used as a cargo system for their delivery.

Long-term detection of Hartmannibacter diazotrophicus on winter wheat and spring barley roots under field conditions revealed positive correlations on yield parameters with the bacterium abundance

Monitoring of bioinoculants once released into the field remains largely unexplored; thus, more information is required about their survival and interactions after root colonization. Therefore, specific primers were used to perform a long-term tracking to elucidate the effect of Hartmannibacter diazotrophicus on wheat and barley production at two experimental organic agriculture field stations. Three factors were evaluated: organic fertilizer application (with and without), row spacing (15 and 50 cm), and bacterial inoculation (H. diazotrophicus and control without bacteria). Hartmannibacter diazotrophicus was detected by quantitative polymerase chain reaction on the roots (up to 5 × 105 copies g-1 dry weight) until advanced developmental stages under field conditions during two seasons, and mostly in one farm. Correlation analysis showed a significant effect of H. diazotrophicus copy numbers on the yield parameters straw yield (increase of 453 kg ha-1 in wheat compared to the mean) and crude grain protein concentration (increase of 0.30% in wheat and 0.80% in barley compared to the mean). Our findings showed an apparently constant presence of H. diazotrophicus on both wheat and barley roots until 273 and 119 days after seeding, respectively, and its addition and concentration in the roots are associated with higher yields in one crop.

Development of a Strain-Specific Quantification Method for Monitoring Bacillus amyloliquefaciens TF28 in the Rhizospheric Soil of Soybean

Bacillus amyloliquefaciens TF28 can be used to control soybean root disease. To assess its commercial potential as a biocontrol agent, it is necessary to develop a strain-specific quantification method to monitor its colonization dynamics in the rhizospheric soil of soybean under field conditions. Based on genomic comparison with the same species in NCBI databases, a strain-unique gene ukfpg was used as molecular marker to develop strain-specific PCR assay. Among three primer pairs, only primer pairs (F2/R2) could specifically differentiate TF28 from other strains of B. amyloliquefaciens with the detection limit of 10 fg and 100 CFU/g for DNA extracted from pure culture and dry soil, respectively. Then, a colony count coupled with PCR assay was used to monitor the population of TF28 in the rhizospheric soil of soybean in the field. The results indicated that TF28 successfully colonized in the rhizospheric soil of soybean. The colonization population of TF28 changed dynamically within the 120-day growth period with high population at the branching (V6) and flowering stages (R2). This study provides an efficient method to quantitatively monitor the colonization dynamics of TF28 in the rhizospheric soil of soybean in the field and demonstrates the potential of TF28 as a biocontrol agent for commercial development.

Design of Bacterial Strain-Specific qPCR Assays Using NGS Data and Publicly Available Resources and Its Application to Track Biocontrol Strains

Biological control is emerging as a feasible alternative to chemical pesticides in agriculture. Measuring the microbial biocontrol agent (mBCA) populations in the environment is essential for an accurate environmental and health risk assessment and for optimizing the usage of an mBCA-based plant protection product. We hereby show a workflow to obtain a large number of qPCR markers suitable for robust strain-specific quantification. The workflow starts from whole genome sequencing data and consists of four stages: (i) identifying the strain-specific sequences, (ii) designing specific primer/probe sets for qPCR, and (iii) empirically verifying the performance of the assays. The first two stages involve exclusively computer work, but they are intended for researchers with little or no bioinformatic background: Only a knowledge of the BLAST suite tools and work with spreadsheets are required; a familiarity with the Galaxy environment and next-generation sequencing concepts are strongly advised. All bioinformatic work can be implemented using publicly available resources and a regular desktop computer (no matter the operating system) connected to the Internet. The workflow was tested with five bacterial strains from four different genera under development as mBCAs and yielded thousands of candidate markers and a triplex qPCR assay for each candidate mBCA. The qPCR assays were successfully tested in soils of different natures, water from different sources, and with samples from different plant tissues. The mBCA detection limits and population dynamics in the different matrices are similar to those in qPCR assays designed by other means. In summary, a new accessible, cost-effective, and robust workflow to obtain a large number of strain-specific qPCR markers is presented.

Conventional detection and quantification real-time PCR of the pks-1 gene of Chaetomium globosum

Chaetomium globosum is known as a potential biocontrol indicator against various soil and seedborne pathogens. Precise data are necessary for population monitoring of C. globosum for its effective use in agriculture. A sequence-characterized amplified region marker has been applied for the detection of this biocontrol agent, which will help to detect C. globosum at the site of its application. Out of 17 isolates of C. globosum, only 8 isolates of C. globosum amplified a monomorphic band of 1,900 bp. C. globosum is known for producing chaetoglobosin A. The pks-1 gene is unique in C. globosum in that it is involved in chaetoglobosin A production, melanin formation, and sporulation. Real-time PCR of pks-1 was used to compare the expressions of the pks-1 gene and chaetoglobosin A biosynthesis and sporulation. It was found that the sporulation of C. globosum was associated with the levels of pks-1 gene expression; Cg2 isolate showed high expression of the pks-1 gene, 41.21%, and also produced a great number of spores and perithecia. The association between the pks-1 gene expression and chaetoglobosin A production was estimated. The Pks-1 gene was expressed by all C. globosum isolates except one isolate, C1, which is another species of Chaetomium. In addition, all C. globosum isolates produced chaetoglobosin A with different concentrations and did not express the same levels of pks-1. This finding may be a result of the solvent type used in the extraction.

Use of Amplification Fragment Length Polymorphism to Genotype Pseudomonas stutzeri Strains Following Exposure to Ultraviolet Light A

Changes in ultraviolet light radiation can act as a selective force on the genetic and physiological traits of a microbial community. Two strains of the common soil bacterium Pseudomonas stutzeri, isolated from aquifer cores and from human spinal fluid were exposed to ultraviolet light. Amplification length polymorphism analysis (AFLP) was used to genotype this bacterial species and evaluate the effect of UVA-exposure on genomic DNA extracted from 18 survival colonies of the two strains compared to unexposed controls. AFLP showed a high discriminatory power, confirming the existence of different genotypes within the species and presence of DNA polymorphisms in UVA-exposed colonies.

Development of amplified fragment length polymorphism (AFLP)-derived specific primer for the detection of Fusarium solani aetiological agent of peanut brown root rot

AIMS

The objective of this work was to design an amplified fragment length polymorphism (AFLP)-derived specific primer for the detection of Fusarium solani aetiological agent of peanut brown root rot (PBRR) in plant material and soil.

METHODS AND RESULTS

Specific primers for the detection of the pathogen were designed based on an amplified region using AFLPs. The banding patterns by AFLPs showed that isolates from diseased roots were clearly distinguishable from others members of the F. solani species complex. Many bands were specific to F. solani PBRR, one of these fragments was selected and sequenced. Sequence obtained was used to develop specific PCR primers for the identification of pathogen in pure culture and in plant material and soil. Primer pair FS1/FS2 amplified a single DNA product of 175 bp. Other fungal isolates occurring in soil, included F. solani non-PBRR, were not detected by these specific primers. The assay was effective for the detection of pathogen from diseased root and infected soils.

CONCLUSIONS

The designed primers for F. solani causing PBRR can be used in a PCR diagnostic protocol to rapidly and reliably detect and identify this pathogen.

SIGNIFICANCE AND IMPACT OF THE STUDY

These diagnostic PCR primers will aid the detection of F. solani causing PBRR in diseased root and natural infected soils. The method developed could be a helpful tool for epidemiological studies and to avoid the spread of this serious disease in new areas.

Quantitative detection of viable Bifidobacterium bifidum BF-1 cells in human feces by using propidium monoazide and strain-specific primers

We developed a PCR-based method to detect and quantify viable Bifidobacterium bifidum BF-1 cells in human feces. This method (PMA-qPCR) uses propidium monoazide (PMA) to distinguish viable from dead cells and quantitative PCR using a BF-1-specific primer set designed from the results of randomly amplified polymorphic DNA analysis. During long-term culture (10 days), the number of viable BF-1 cells detected by counting the number of CFU on modified MRS agar, by measuring the ATP contents converted to CFU, and by using PMA-qPCR decreased from about 10(10) to 10(6) cells/ml; in contrast, the total number of (viable and dead) BF-1 cells detected by counting 4',6-diamidino-2-phenylindolee (DAPI)-stained cells and by using qPCR without PMA and reverse transcription-qPCR remained constant. The number of viable BF-1 cells in fecal samples detected by using PMA-qPCR was highly and significantly correlated with the number of viable BF-1 cells added to the fecal samples, within the range of 10(5.3) to 10(10.3) cells/g feces (wet weight) (r > 0.99, P < 0.001). After 12 healthy subjects ingested 10(10.3) to 10(11.0) CFU of BF-1 in a fermented milk product daily for 28 days, 10(4.5 ± 1.5) (mean ± standard deviation [SD]) BF-1 CFU/g was detected in fecal samples by using strain-specific selective agar; in contrast, 10(6.2 ± 0.4) viable BF-1 cells/g were detected by using PMA-qPCR, and a total of 10(7.6 ± 0.7) BF-1 cells/g were detected by using qPCR without PMA. Thus, the number of viable BF-1 cells detected by PMA-qPCR was about 50 times higher (P < 0.01) than that detected by the culture-dependent method. We conclude that strain-specific PMA-qPCR can be used to quickly and accurately evaluate viable BF-1 in feces.

Development of a sequence-characterized amplified region marker-targeted quantitative PCR assay for strain-specific detection of Oenococcus oeni during wine malolactic fermentation

Control over malolactic fermentation (MLF) is a difficult goal in winemaking and needs rapid methods to monitor Oenococcus oeni malolactic starters (MLS) in a stressful environment such as wine. In this study, we describe a novel quantitative PCR (QPCR) assay enabling the detection of an O. oeni strain during MLF without culturing. O. oeni strain LB221 was used as a model to develop a strain-specific sequence-characterized amplified region (SCAR) marker derived from a discriminatory OPA20-based randomly amplified polymorphic DNA (RAPD) band. The 5' and 3' flanking regions and the copy number of the SCAR marker were characterized using inverse PCR and Southern blotting, respectively. Primer pairs targeting the SCAR sequence enabled strain-specific detection without cross amplification of other O. oeni strains or wine species of lactic acid bacteria (LAB), acetic acid bacteria (AAB), and yeasts. The SCAR-QPCR assay was linear over a range of cell concentrations (7 log units) and detected as few as 2.2 × 10(2) CFU per ml of red wine with good quantification effectiveness, as shown by the correlation of QPCR and plate counting results. Therefore, the cultivation-independent monitoring of a single O. oeni strain in wine based on a SCAR marker represents a rapid and effective strain-specific approach. This strategy can be adopted to develop easy and rapid detection techniques for monitoring the implantation of inoculated O. oeni MLS on the indigenous LAB population, reducing the risk of unsuccessful MLF.