Application of next generation sequencing for species identification in meat and poultry products: A DNA metabarcoding approach

Food Control ◽  
2019 ◽  
Vol 101 ◽  
pp. 173-179 ◽  
Author(s):  
Ran-Ran Xing ◽  
Nan Wang ◽  
Ran-Ran Hu ◽  
Jiu-Kai Zhang ◽  
Jian-Xun Han ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Species Identification ◽  
Next Generation ◽  
Poultry Products ◽  
Dna Metabarcoding ◽  
Generation Sequencing

What Else Is in Salviae officinalis folium? Comprehensive Species Identification of Plant Raw Material by DNA Metabarcoding

Planta Medica ◽  
2017 ◽  
Vol 84 (06/07) ◽  
pp. 428-433 ◽  
Author(s):  
Corinna Schmiderer ◽  
Brigitte Lukas ◽  
Joana Ruzicka ◽  
Johannes Novak
Keyword(s):  
Next Generation Sequencing ◽  
Dna Barcoding ◽  
Species Identification ◽  
Internal Transcribed Spacer ◽  
Raw Material ◽  
Next Generation ◽  
Additional Species ◽  
Internal Transcribed Spacer 2 ◽  
Dna Metabarcoding ◽  
Generation Sequencing

AbstractQuality control of drugs consists of identifying the raw material to avoid unwanted admixtures or exchange of material as well as looking for abiotic and biotic contaminations. So far, identity and microbial contamination are analyzed by separate processes and separate methods. Species identification by their DNA (“DNA barcoding”) has the potential to supplement existing methods of identification. The introduction of next-generation sequencing methods offers completely new approaches like the identification of whole communities in one analysis, termed “DNA metabarcoding”. Here we present a next-generation sequencing assessment to identify plants and fungi of two commercial sage samples (Salvia officinalis) using the standard DNA barcoding region “internal transcribed spacer” consisting of internal transcribed spacer 1 and internal transcribed spacer 2, respectively. The main species in both samples was identified as S. officinalis. The spectrum of accompanying plant and fungal species, however, was completely different between the samples. Additionally, the composition between internal transcribed spacer 1 and internal transcribed spacer 2 within the samples was different and demonstrated the influence of primer selection and therefore the need for harmonization. This next-generation sequencing approach does not result in quantitative species composition but gives deeper insight into the composition of additional species. Therefore, it would allow for a better knowledge-based risk assessment than any other method available. However, the method is only economically feasible in routine analysis if a high sample throughput can be guaranteed.

Next Generation Sequencing (NGS) approach applied to species identification in mixed processed seafood products

Food Control ◽  
2021 ◽  
pp. 108590
Author(s):  
Roberta Piredda ◽  
Anna Mottola ◽  
Giulia Cipriano ◽  
Roberto Carlucci ◽  
Giuseppina Ciccarese ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Species Identification ◽  
Next Generation ◽  
Seafood Products ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

scholarly journals Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat Products

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Xinmei Liu ◽  
Zhiyang Liu ◽  
Yiyu Cheng ◽  
Haijing Wu ◽  
Wei Shen ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
16S Rrna ◽  
Species Identification ◽  
Growth Hormone Receptor ◽  
Single Gene ◽  
Meat Products ◽  
Quantitative Detection ◽  
Next Generation ◽  
Next Generation Sequencing Technology ◽  
Generation Sequencing

Polymerase chain reaction (PCR) detection is a commonly used method for species identification of meat products. However, this method is not suitable for the analysis of meat products containing multiple mixtures. This study aimed to test whether next-generation sequencing (NGS) technology could be used as a method for the certification of mixed meat products. In this study, five kinds of common meat (pigs, cattle, sheep, chickens, and ducks) were mixed as samples with different proportions. The primers designed from mitochondrial 16S rRNA and nuclear genome gene (growth hormone receptor, GHR), respectively, were used to detect these meats. The sequencing results of NGS were analyzed using a self-designed bioinformatics program. The fragments with similar sequences were classified and compared with the database to determine their species. The results showed that all five kinds of meat components could be correctly identified using these two primers. The meat composition could be detected as low as 0.5% in the mixed samples using the NGS technology targeting GHR gene fragments, which was superior to those targeting mitochondrial 16S rRNA. However, the quantitative detection of species in the mixture was not likely to be quite accurate due to the amplification bias of PCR amplification. These results showed that the NGS technology could be applied to identify meat species in mixtures.

scholarly journals Development of a reference data set for assigning Streptococcus and Enterococcus species based on next generation sequencing of the 16S–23S rRNA region

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Maja Kosecka-Strojek ◽  
Artur J. Sabat ◽  
Viktoria Akkerboom ◽  
Anna M. D. Kooistra-Smid ◽  
Jacek Miedzobrodzki ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Sequence Analysis ◽  
16S Rrna ◽  
Species Identification ◽  
23S Rrna ◽  
Clinical Samples ◽  
Next Generation ◽  
Enterococcal Species ◽  
Reference Sequences ◽  
Generation Sequencing

Abstract Background Many members of Streptococcus and Enterococcus genera are clinically relevant opportunistic pathogens warranting accurate and rapid identification for targeted therapy. Currently, the developed method based on next generation sequencing (NGS) of the 16S–23S rRNA region proved to be a rapid, reliable and precise approach for species identification directly from polymicrobial and challenging clinical samples. The introduction of this new method to routine diagnostics is hindered by a lack of the reference sequences for the 16S–23S rRNA region for many bacterial species. The aim of this study was to develop a careful assignment for streptococcal and enterococcal species based on NGS of the 16S–23S rRNA region. Methods Thirty two strains recovered from clinical samples and 19 reference strains representing 42 streptococcal species and nine enterococcal species were subjected to bacterial identification by four Sanger-based sequencing methods targeting the genes encoding (i) 16S rRNA, (ii) sodA, (iii) tuf and (iv) rpoB; and NGS of the 16S–23S rRNA region. Results This study allowed obtainment and deposition of reference sequences of the 16S–23S rRNA region for 15 streptococcal and 3 enterococcal species followed by enrichment for 27 and 6 species, respectively, for which reference sequences were available in the databases. For Streptococcus, NGS of the 16S–23S rRNA region was as discriminative as Sanger sequencing of the tuf and rpoB genes allowing for an unambiguous identification of 93% of analyzed species. For Enterococcus, sodA, tuf and rpoB genes sequencing allowed for identification of all species, while the NGS-based method did not allow for identification of only one enterococcal species. For both genera, the sequence analysis of the 16S rRNA gene was endowed with a low identification potential and was inferior to that of other tested identification methods. Moreover, in case of phylogenetically related species the sequence analysis of only the intergenic spacer region was not sufficient enough to precisely identify Streptococcus strains at the species level. Conclusions Based on the developed reference dataset, clinically relevant streptococcal and enterococcal species can now be reliably identified by 16S–23S rRNA sequences in samples. This study will be useful for introduction of a novel diagnostic tool, NGS of the 16S–23S rRNA region, which undoubtedly is an improvement for reliable culture-independent species identification directly from polymicrobially constituted clinical samples.

Rapid detection of macroalgal seed bank on cobbles: application of DNA metabarcoding using next-generation sequencing

2019 ◽  
Vol 31 (4) ◽  
pp. 2743-2753 ◽  
Author(s):  
Shingo Akita ◽  
Yoshihito Takano ◽  
Satoshi Nagai ◽  
Hisami Kuwahara ◽  
Rumiko Kajihara ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Seed Bank ◽  
Rapid Detection ◽  
Next Generation ◽  
Dna Metabarcoding ◽  
Generation Sequencing

scholarly journals Morphotaxonomy- and metabarcoding-based ecological assessment of Cyprus streams’ diatom communities and correlation with environmental and anthropogenic influences

2021 ◽  
Vol 4 ◽  
Author(s):  
Panayiota Pissaridou ◽  
Agnès Bouchez ◽  
Marlen Vasquez Hadjilyra ◽  
Valentin Vasselon ◽  
Andreas Christou ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Water Framework Directive ◽  
Ecological Assessment ◽  
Anthropogenic Influences ◽  
Next Generation ◽  
Diatom Assemblages ◽  
Anthropogenic Pressures ◽  
Complementary Approach ◽  
Dna Metabarcoding ◽  
Generation Sequencing

In freshwater ecosystems, periphytic biofilms include diatom assemblages that depend on environmental conditions (e.g., nutrient concentrations, salinity, temperature etc.). These assemblages respond rapidly to environmental changes, which makes diatoms valuable bioindicators. For this reason, they are currently used in freshwater biomonitoring programs (e.g., EU Water Framework Directive - WFD) (Foster et al., 2000). To date, diatom taxonomic identification is based on morphological criteria, which requires high taxonomic expertise to identify them to the species level needed for biomonitoring. Having this in mind, new strategies have been examined for the development of high-throughput, non-biased identification approaches. Human activities are the leading cause of environmental impairments and appropriate biomonitoring of ecosystems is needed to effectively assess the impact of their activities. In the last ten years, DNA metabarcoding combined with next-generation sequencing and bioinformatics, have been proposed as a complementary approach to morphological identification. In the past ten years, DNA metabarcoding coupled with next-generation sequencing and bioinformatics represents a complementary approach for diatom biomonitoring (Vasselon et al., 2019). In this study, this approach was used for the first time in Cyprus considering the association of environmental and anthropogenic pressures to diatom assemblages using the rbcL 312 bp barcode, next-generation sequencing (MiSeq Illumina), and bioinformatic evaluation (Mothur Software). Statistical analysis was then applied to identify the environmental (i.e., river types, geo-morphological) and anthropogenic (i.e., physical, chemical, human land-use pressures) variables' role in the observed diatom diversity. The Indice de Polluosensibilité Spécifique (IPS) index was used as it was shown to better respond to pressures that affect water quality in Cyprus rivers (WDD, 2014). Results indicate differences in diatom assemblages between intermittent and perennial rivers. Achnanthidium minutissimum was more abundant in intermittent rivers; whereas Amphora pediculus and Planothidium victorii (P. caputium) in perennial ones. Furthermore, we could demonstrate the correlation between nutrients (e.g., nitrogen, phosphorus), characteristics of the individual sampling sites (e.g., elevation), and land use activities on the observed differences in diatom diversity (Pissaridou, 2021). Additionally, results were compared to the morphotaxonomy-based approach which was conducted microscopically. Results show a positive correlation between morphological and molecular IPS scores. Points deviating from the norm are influenced by the limitations of both techniques. Fistulifera saprophila had a key role in this observation, as it negatively influences IPS scores. All in all, we conclude that DNA metabarcoding complements the morphological methodology for the ecological quality assessment of freshwaters in Cyprus. Multi-stressors and anthropogenic pressures have a significant statistical relationship to the observed diatom diversity and play a pivotal role in determining Cyprus' rivers' ecological status (Fig. 1). Foster, D., Wood, A., Griffiths, M., 2000. The Water Framework Directive (2000/60/EC) – An introduction Dave Foster – Policy Advisor (Europe), Aram Wood EP Scientist (Water), Dr Martin Griffiths – Head of Water Quality, Environment Agency, Head Office, Rio House, Waterside Drive, Aztec West, Almon 7–9. Pissaridou, P., Vasselon V., Christou A., Chonova T., Lacroix S., Papatheodoulou A., Drakou K., Tziortzis I., Dörflinger G., Rimet F., Bouchez A. and Vasquez MI. 2021 Deciphering Cyprus’ diatom diversity and the effects of environmental and anthropogenic influences for ecological assessment of rivers using DNA metabarcoding.Chemosphere (In Press) Vasselon, V., Frédéric, R., Isabelle, D., Olivier, M., Yorick, R., Agnès, B., 2019. Assessing pollution of aquatic environments with diatoms’ DNA metabarcoding: Experience and developments from France Water Framework Directive networks. Metabarcoding and Metagenomics 3, 101–115. https://doi.org/10.3897/mbmg.3.39646 WDD, 2014. Review and update of article 5 of Directive 2000/60/EC (Water reservoirs) & Classification of water status (Rivers, natural lakes and water reservoirs), That will establish baseline information and data for the 2nd cyprus river basin management plan.

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