A New Approach to Modify Plant Microbiomes and Traits by Introducing Beneficial Bacteria at Flowering into Progeny Seeds

With read lengths of currently up to 2 × 300 bp, high throughput and low sequencing costs Illumina's MiSeq is becoming one of the most utilized sequencing platforms worldwide. The platform is manageable and affordable even for smaller labs. This enables quick turnaround on a broad range of applications such as targeted gene sequencing, metagenomics, small genome sequencing and clinical molecular diagnostics. However, Illumina error profiles are still poorly understood and programs are therefore not designed for the idiosyncrasies of Illumina data. A better knowledge of the error patterns is essential for sequence analysis and vital if we are to draw valid conclusions. Studying true genetic variation in a population sample is fundamental for understanding diseases, evolution and origin. We conducted a large study on the error patterns for the MiSeq based on 16S rRNA amplicon sequencing data. We tested state-of-the-art library preparation methods for amplicon sequencing and showed that the library preparation method and the choice of primers are the most significant sources of bias and cause distinct error patterns. Furthermore we tested the efficiency of various error correction strategies and identified quality trimming (Sickle) combined with error correction (BayesHammer) followed by read overlapping (PANDAseq) as the most successful approach, reducing substitution error rates on average by 93%.

The diversity of bacteria and archaea associating on the surface and interior of maize roots (Zea mays L.) was investigated. A bacterial 16S rDNA primer was designed to amplify bacterial sequences directly from maize roots by PCR to the exclusion of eukaryotic and chloroplast DNA. The mitochondrial sequence from maize was easily separated from the PCR-amplified bacterial sequences by size fractionation. The culturable component of the bacterial community was also assessed, reflecting a community composition different from that of the clone library. The phylogenetic overlap between organisms obtained by cultivation and those identified by direct PCR amplification of 16S rDNA was 48%. Only 4 bacterial divisions were found in the culture collection, which represented 27 phylotypes, whereas 6 divisions were identified in the clonal analysis, comprising 74 phylotypes, including a member of the OP10 candidate division originally described as a novel division level lineage in a Yellowstone hot spring. The predominant group in the culture collection was the actinobacteria and within the clone library, the a-proteobacteria predominated. The population of maize-associated proteobacteria resembled the proteobacterial population of a typical soil community within which resided a subset of specific plant-associated bacteria, such as Rhizobium- and Herbaspirillum-related phylotypes. The representation of phylotypes within other divisions (OP10 and Acidobacterium) suggests that maize roots support a distinct bacterial community. The diversity within the archaeal domain was low. Of the 50 clones screened, 6 unique sequence types were identified, and 5 of these were highly related to each other (sharing 98% sequence identity). The archaeal sequences clustered with good bootstrap support near Marine group I (crenarchaea) and with Marine group II (euryarchaea) uncultured archaea. The results suggest that maize supports a diverse root-associated microbial community composed of species that for the first time have been described as inhabitants of a plant-root environment.

A combination of fluorescent rRNA-targeted oligonucleotide probes ("phylogenetic stains") and flow cytometry was used for a high resolution automated analysis of mixed microbial populations. Fixed cells of bacteria and yeasts were hybridized in suspension with fluorescein- or tetramethylrhodamine-labeled oligonucleotide probes complementary to group-specific regions of the 16S ribosomal RNA (rRNA) molecules. Quantifying probe-conferred cell fluorescence by flow cytometry, we could discriminate between target and nontarget cell populations. We critically examined changes of the hybridization conditions, kinetics of the hybridization, and posthybridization treatments. Intermediate probe concentrations, addition of detergent to the hybridization buffer, and a posthybridization washing step were found to increase the signal to noise ratio. We could demonstrate a linear correlation between growth rate and probe-conferred fluorescence of Escherichia coli and Pseudomonas cepacia cells. Oligonucleotides labeled with multiple fluorochromes showed elevated levels of nonspecific binding and therefore could not be used to lower the detection limits, which still restrict studies with fluorescing rRNA-targeted oligonucleotide probes to well-growing microbial cells. Two probes of different specificities--one labeled with fluorescein, the other with tetramethylrhodamine--could be applied simultaneously for dual color analysis.