Microbial community profiling of fresh basil and pitfalls in taxonomic assignment of enterobacterial pathogenic species based upon 16S rRNA amplicon sequencing. 2017

Siele Ceuppens, and Dieter De Coninck, and Nadine Bottledoorn, and Filip Van Nieuwerburgh, and Mieke Uyttendaele
Laboratory of Food Microbiology and Food Preservation (LFMFP), Department of Food Safety and Food Quality, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.

Application of 16S rRNA (gene) amplicon sequencing on food samples is increasingly applied for assessing microbial diversity but may as unintended advantage also enable simultaneous detection of any human pathogens without a priori definition. In the present study high-throughput next-generation sequencing (NGS) of the V1-V2-V3 regions of the 16S rRNA gene was applied to identify the bacteria present on fresh basil leaves. However, results were strongly impacted by variations in the bioinformatics analysis pipelines (MEGAN, SILVAngs, QIIME and MG-RAST), including the database choice (Greengenes, RDP and M5RNA) and the annotation algorithm (best hit, representative hit and lowest common ancestor). The use of pipelines with default parameters will lead to discrepancies. The estimate of microbial diversity of fresh basil using 16S rRNA (gene) amplicon sequencing is thus indicative but subject to biases. Salmonella enterica was detected at low frequencies, between 0.1% and 0.4% of bacterial sequences, corresponding with 37 to 166 reads. However, this result was dependent upon the pipeline used: Salmonella was detected by MEGAN, SILVAngs and MG-RAST, but not by QIIME. Confirmation of Salmonella sequences by real-time PCR was unsuccessful. It was shown that taxonomic resolution obtained from the short (500bp) sequence reads of the 16S rRNA gene containing the hypervariable regions V1-V3 cannot allow distinction of Salmonella with closely related enterobacterial species. In conclusion 16S amplicon sequencing, getting the status of standard method in microbial ecology studies of foods, needs expertise on both bioinformatics and microbiology for analysis of results. It is a powerful tool to estimate bacterial diversity but amenable to biases. Limitations concerning taxonomic resolution for some bacterial species or its inability to detect sub-dominant (pathogenic) species should be acknowledged in order to avoid overinterpretation of results.

UI MeSH Term Description Entries
D005517 Foodborne Diseases Acute illnesses, usually affecting the GASTROINTESTINAL TRACT, brought on by consuming contaminated food or beverages. Most of these diseases are infectious, caused by a variety of bacteria, viruses, or parasites that can be foodborne. Sometimes the diseases are caused by harmful toxins from the microbes or other chemicals present in the food. Especially in the latter case, the condition is often called food poisoning. Food Poisoning,Food-borne Disease,Food-borne Illness,Foodborne Disease,Foodborne Illness,Food-borne Diseases,Food-borne Illnesses,Foodborne Illnesses,Poisoning, Food,Disease, Food-borne,Disease, Foodborne,Food Poisonings,Food borne Disease,Food borne Diseases,Food borne Illness,Food borne Illnesses,Illness, Food-borne,Illness, Foodborne,Illnesses, Foodborne
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D012336 RNA, Ribosomal, 16S Constituent of 30S subunit prokaryotic ribosomes containing 1600 nucleotides and 21 proteins. 16S rRNA is involved in initiation of polypeptide synthesis. 16S Ribosomal RNA,16S rRNA,RNA, 16S Ribosomal,Ribosomal RNA, 16S,rRNA, 16S
D016208 Databases, Factual Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references. Databanks, Factual,Data Banks, Factual,Data Bases, Factual,Data Bank, Factual,Data Base, Factual,Databank, Factual,Database, Factual,Factual Data Bank,Factual Data Banks,Factual Data Base,Factual Data Bases,Factual Databank,Factual Databanks,Factual Database,Factual Databases
D058889 Molecular Typing Using MOLECULAR BIOLOGY techniques, such as DNA SEQUENCE ANALYSIS; PULSED-FIELD GEL ELECTROPHORESIS; and DNA FINGERPRINTING, to identify, classify, and compare organisms and their subtypes. Typing, Molecular
D059014 High-Throughput Nucleotide Sequencing Techniques of nucleotide sequence analysis that increase the range, complexity, sensitivity, and accuracy of results by greatly increasing the scale of operations and thus the number of nucleotides, and the number of copies of each nucleotide sequenced. The sequencing may be done by analysis of the synthesis or ligation products, hybridization to preexisting sequences, etc. High-Throughput Sequencing,Illumina Sequencing,Ion Proton Sequencing,Ion Torrent Sequencing,Next-Generation Sequencing,Deep Sequencing,High-Throughput DNA Sequencing,High-Throughput RNA Sequencing,Massively-Parallel Sequencing,Pyrosequencing,DNA Sequencing, High-Throughput,High Throughput DNA Sequencing,High Throughput Nucleotide Sequencing,High Throughput RNA Sequencing,High Throughput Sequencing,Massively Parallel Sequencing,Next Generation Sequencing,Nucleotide Sequencing, High-Throughput,RNA Sequencing, High-Throughput,Sequencing, Deep,Sequencing, High-Throughput,Sequencing, High-Throughput DNA,Sequencing, High-Throughput Nucleotide,Sequencing, High-Throughput RNA,Sequencing, Illumina,Sequencing, Ion Proton,Sequencing, Ion Torrent,Sequencing, Massively-Parallel,Sequencing, Next-Generation
D060888 Real-Time Polymerase Chain Reaction Methods used for detecting the amplified DNA products from the polymerase chain reaction as they accumulate instead of at the end of the reaction. Kinetic Polymerase Chain Reaction,Quantitative Real-Time PCR,Quantitative Real-Time Polymerase Chain Reaction,Real-Time PCR,PCR, Quantitative Real-Time,PCR, Real-Time,PCRs, Quantitative Real-Time,PCRs, Real-Time,Quantitative Real Time PCR,Quantitative Real Time Polymerase Chain Reaction,Quantitative Real-Time PCRs,Real Time PCR,Real Time Polymerase Chain Reaction,Real-Time PCR, Quantitative,Real-Time PCRs,Real-Time PCRs, Quantitative
D018649 Ocimum basilicum A plant species of the genus OCIMUM, family LAMIACEAE. It is a condiment with carminative properties. Basil,Sweet Basil,Basil, Sweet,Basils,Basils, Sweet,Ocimum basilicums,Sweet Basils,basilicums, Ocimum
D019295 Computational Biology A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets. Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational

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