Dataset Information

Quantifying the biases in metagenome mining for realistic assessment of microbial ecology of naturally fermented foods.

ABSTRACT: Cultivation-independent investigation of microbial ecology is biased by the DNA extraction methods used. We aimed to quantify those biases by comparative analysis of the metagenome mined from four diverse naturally fermented foods (bamboo shoot, milk, fish, soybean) using eight different DNA extraction methods with different cell lysis principles. Our findings revealed that the enzymatic lysis yielded higher eubacterial and yeast metagenomic DNA from the food matrices compared to the widely used chemical and mechanical lysis principles. Further analysis of the bacterial community structure by Illumina MiSeq amplicon sequencing revealed a high recovery of lactic acid bacteria by the enzymatic lysis in all food types. However, Bacillaceae, Acetobacteraceae, Clostridiaceae and Proteobacteria were more abundantly recovered when mechanical and chemical lysis principles were applied. The biases generated due to the differential recovery of operational taxonomic units (OTUs) by different DNA extraction methods including DNA and PCR amplicons mix from different methods have been quantitatively demonstrated here. The different methods shared only 29.9-52.0% of the total OTUs recovered. Although similar comparative research has been performed on other ecological niches, this is the first in-depth investigation of quantifying the biases in metagenome mining from naturally fermented foods.

SUBMITTER: Keisam S

PROVIDER: S-EPMC5037447 | biostudies-other | 2016 Sep

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Quantifying the biases in metagenome mining for realistic assessment of microbial ecology of naturally fermented foods.

Keisam Santosh S Romi Wahengbam W Ahmed Giasuddin G Jeyaram Kumaraswamy K

Scientific reports 20160927

Cultivation-independent investigation of microbial ecology is biased by the DNA extraction methods used. We aimed to quantify those biases by comparative analysis of the metagenome mined from four diverse naturally fermented foods (bamboo shoot, milk, fish, soybean) using eight different DNA extraction methods with different cell lysis principles. Our findings revealed that the enzymatic lysis yielded higher eubacterial and yeast metagenomic DNA from the food matrices compared to the widely used ...[more]

PMID: 27669673

Similar Datasets

Project description:BackgroundStreptococcus thermophilus is a major dairy starter used for manufacturing of dairy products. In the present study, we developed a multilocus sequence typing (MLST) scheme for this important food bacterium. Sequences of 10 housekeeping genes (carB, clpX, dnaA, murC, murE, pepN, pepX, pyrG, recA, and rpoB) were obtained for 239 S. thermophilus strains, which were isolated from home-made fermented dairy foods in 18 different regions of Mongolia and China.MethodsAll 10 genes of S. thermophilus were sequenced, aligned, and defined sequence types (STs) using the BioNumerics Software. The nucleotide diversity was calculated by START v2.0. The population structure, phylogenetic relationships and the role of recombination were inferred using ClonalFrame v1.2, SplitsTree 4.0 and Structure v2.3.ResultsThe 239 S. thermophilus isolates and 18 reference strains could be assigned into 119 different STs, which could be further separated into 16 clonal complexes (CCs) and 38 singletons. Among the 10 loci, a total of 132 polymorphic sites were detected. The standardized index of association (IAS=0.0916), split-decomposition and ρ/θ (relative frequency of occurrence of recombination and mutation) and r/m value (relative impact of recombination and mutation in the diversification) confirms that recombination may have occurred, but it occurred at a low frequency in these 10 loci. Phylogenetic trees indicated that there were five lineages in the S. thermophilus isolates used in our study. MSTree and ClonalFrame tree analyses suggest that the evolution of S. thermophilus isolates have little relationship with geographic locality, but revealed no association with the types of fermented dairy product. Phylogenetic analysis of 36 whole genome strains (18 S. thermophilus, 2 S. vestibularis and 16 S. salivarius strains) indicated that our MLST scheme could clearly separate three closely related species within the salivarius group and is suitable for analyzing the population structure of the other two species in the salivarius group.ConclusionsOur newly developed MLST scheme improved the understanding on the genetic diversity and population structure of the S. thermophilus, as well as provided useful information for further studies on the genotyping and evolutionary research for S. thermophilus strains with global diversity.

Project description:Dry fermented sausages are produced worldwide by well-controlled fermentation processes involving complex microbiota including many bacterial and fungal species with key technological roles. However, to date, fungal diversity on sausage casings during storage has not been fully described. In this context, we studied the microbial communities from dry fermented sausages naturally colonized or voluntarily surface inoculated with molds during storage using both culture-dependent and metabarcoding methods. Staphylococci and lactic acid bacteria largely dominated in samples, although some halotolerant genera (e.g., Halomonas, Tetragenococcus, and Celerinatantimonas spp.) were also frequently observed. Fungal populations varied from 7.2 to 9.8 log TFU/cm2 sausage casing during storage, suggesting relatively low count variability among products. Fungal diversity identified on voluntarily inoculated casings was lower (dominated by Penicillium nalgiovense and Debaryomyces hansenii) than naturally environment-inoculated fermented sausages (colonized by P. nalgiovense, Penicillium nordicum, and other Penicillium spp. and sporadically by Scopulariopsis sp., D. hansenii, and Candida zeylanoïdes). P. nalgiovense and D. hansenii were systematically identified, highlighting their key technological role. The mycotoxin risk was then evaluated, and in situ mycotoxin production of selected mold isolates was determined during pilot-scale sausage productions. Among the identified fungal species, P. nalgiovense was confirmed not to produce mycotoxins. However, some P. nordicum, Penicillium chrysogenum, Penicillium bialowienzense, Penicillium brevicompactum, and Penicillium citreonigrum isolates produced one or more mycotoxins in vitro. P. nordicum also produced ochratoxin A during pilot-scale sausage productions using "worst-case" conditions in the absence of biotic competition. These data provide new knowledge on fermented sausage microbiota and the potential mycotoxin risk during storage.

Dataset Information

Quantifying the biases in metagenome mining for realistic assessment of microbial ecology of naturally fermented foods.

Publications

Quantifying the biases in metagenome mining for realistic assessment of microbial ecology of naturally fermented foods.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets