A next-generation sequencing approach for the detection of mixed species in canned tuna.

Tuna cans are relevant seafood products for which mixtures of different tuna species are not allowed according to European regulations. In order to support the prevention of food fraud and mislabelling, a next-generation sequencing methodology based on mitochondrial cytochrome b and control region markers has been tested. Analyses of defined mixtures of DNA, fresh tissue and canned tissue revealed a qualitative and, to some extent, semiquantitative identification of tuna species. While the choice of the bioinformatic pipeline had no influence in the results (p = 0.71), quantitative differences occurred depending on the treatment of the sample, marker, species, and mixture (p < 0.01). The results revealed that matrix-specific calibrators or normalization models should also be used in NGS. The method represents an important step towards a semiquantitative method for routine control of this analytically challenging food matrix. Tests of commercial samples uncovered mixed species in some cans, being not in compliance with EU regulations.

A short exposure to a semi-natural habitat alleviates the honey bee hive microbial imbalance caused by agricultural stress.

Honeybee health and the species' gut microbiota are interconnected. Also noteworthy are the multiple niches present within hives, each with distinct microbiotas and all coexisting, which we termed "apibiome". External stressors (e.g. anthropization) can compromise microbial balance and bee resilience. We hypothesised that (1) the bacterial communities of hives located in areas with different degrees of anthropization differ in composition, and (2) due to interactions between the multiple microbiomes within the apibiome, changes in the community of a niche would impact the bacteria present in other hive sections. We characterised the bacterial consortia of different niches (bee gut, bee bread, hive entrance and internal hive air) of 43 hives from 3 different environments (agricultural, semi-natural and natural) through 16S rRNA amplicon sequencing. Agricultural samples presented lower community evenness, depletion of beneficial bacteria, and increased recruitment of stress related pathways (predicted via PICRUSt2). The taxonomic and functional composition of gut and hive entrance followed an environmental gradient. Arsenophonus emerged as a possible indicator of anthropization, gradually decreasing in abundance from agriculture to the natural environment in multiple niches. Importantly, after 16 days of exposure to a semi-natural landscape hives showed intermediate profiles, suggesting alleviation of microbial dysbiosis through reduction of anthropization.

Response of Horticultural Soil Microbiota to Different Fertilization Practices.

Environmentally friendly agricultural production necessitates manipulation of microbe-plant interactions, requiring a better understanding of how farming practices influence soil microbiota. We studied the effect of conventional and organic treatment on soil bacterial richness, composition, and predicted functional potential. 16S rRNA sequencing was applied to soils from adjacent plots receiving either a synthetic or organic fertilizer, where two crops were grown within treatment, homogenizing for differences in soil properties, crop, and climate. Conventional fertilizer was associated with a decrease in soil pH, an accumulation of Ag, Mn, As, Fe, Co, Cd, and Ni; and an enrichment of ammonia oxidizers and xenobiotic compound degraders (e.g., Candidatus Nitrososphaera, Nitrospira, Bacillus, Pseudomonas). Soils receiving organic fertilization were enriched in Ti (crop biostimulant), N, and C cycling bacteria (denitrifiers, e.g., Azoarcus, Anaerolinea; methylotrophs, e.g., Methylocaldum, Methanosarcina), and disease-suppression (e.g., Myxococcales). Some predicted functions, such as glutathione metabolism, were slightly, but significantly enriched after a one-time manure application, suggesting the enhancement of sulfur regulation, nitrogen-fixing, and defense of environmental stressors. The study highlights that even a single application of organic fertilization is enough to originate a rapid shift in soil prokaryotes, responding to the differential substrate availability by promoting soil health, similar to recurrent applications.

NGS tools for traceability in candies as high processed food products: Ion Torrent PGM versus conventional PCR-cloning.

The Next Generation Sequencing methodologies are considered the next step within DNA-based methods and their applicability in different fields is being evaluated. Here, we tested the usefulness of the Ion Torrent Personal Genome Machine (PGM) in food traceability analyzing candies as a model of high processed foods, and compared the results with those obtained by PCR-cloning-sequencing (PCR-CS). The majority of samples exhibited consistency between methodologies, yielding more information and species per product from the PGM platform than PCR-CS. Significantly higher AT-content in sequences of the same species was also obtained from PGM. This together with some taxonomical discrepancies between methodologies suggest that the PGM platform is still pre-mature for its use in food traceability of complex highly processed products. It could be a good option for analysis of less complex food, saving time and cost per sample.

Detection of Different DNA Animal Species in Commercial Candy Products.

Candy products are consumed all across the world, but there is not much information about their composition. In this study we have used a DNA-based approach for determining the animal species occurring in 40 commercial candies of different types. We extracted DNA and performed PCR amplification, cloning and sequencing for obtaining species-informative DNA sequences. Eight species were identified including fish (hake and anchovy) in 22% of the products analyzed. Bovine and porcine were the most abundant appearing in 27 samples each one. Most products contained a mixture of species. Marshmallows (7), jelly-types, and gummies (20) contained a significantly higher number of species than hard candies (9). We demonstrated the presence of DNA animal species in candy product which allow consumers to make choices and prevent allergic reaction.

Authentication of commercial candy ingredients using DNA PCR-cloning methodology.

BACKGROUND: Commercial candies are consumed by all population age sectors worldwide. Methods for quality control and composition authentication are therefore needed for best compliance with consumers' preferences. In this study applications of DNA-based methodology for candy quality control have been tested. Eighteen samples of commercial candies (marshmallows, gumdrops, jelly, sherbet, gelatin-based desserts) produced by five countries were analyzed to identify the component species by polymerase chain reaction, cloning and sequencing of 16S rRNA and ribulose -1,5-diphosphate carboxylase oxygenase genes, and the species determined from BLAST comparison with universal databases and phylogenetic analysis. RESULTS: Positive DNA extraction and amplification of the target genes were obtained for 94% of candies assayed, even those containing as little as <0.0005 ng µL(-1) DNA concentration. The results demonstrated that the species detected from DNA were compatible with the information provided on candy labels only in a few products. DNA traces of undeclared species, including fish, were found in most samples, and two products were labeled as vegetarian but contained porcine DNA. CONCLUSION: Based on the inaccuracy found on the labels of sweets we recommend the use of DNA tests for quality control of these popular sweets. DNA tests have been useful in this field but next-generation sequencing methods could be more effective.