scholarly journals Egg forensics: An appraisal of DNA sequencing to assist in species identification of illegally smuggled eggs

2012 ◽  
Vol 6 (2) ◽  
pp. 268-273 ◽  
Author(s):  
Megan L. Coghlan ◽  
Nicole E. White ◽  
Liza Parkinson ◽  
James Haile ◽  
Peter B.S. Spencer ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Species Identification

scholarly journals Brazilian Plants: An Unexplored Source of Endophytes as Producers of Active Metabolites

Planta Medica ◽  
2019 ◽  
Vol 85 (08) ◽  
pp. 619-636 ◽  
Author(s):  
Daiani Cristina Savi ◽  
Rodrigo Aluizio ◽  
Chirlei Glienke
Keyword(s):  
Species Diversity ◽  
Dna Sequencing ◽  
Species Identification ◽  
Plant Diversity ◽  
Active Metabolites ◽  
The Real ◽  
Host Interaction ◽  
The World

AbstractBrazil has an extraordinary biodiversity, and for many years, has been classified as the first of 17 countries with a mega diversity, with 22% of the total plants in the world (more than 55 000 species). Considering that some endophytes are host-specific, the incomparable plant diversity found in Brazil encompasses an immeasurable variety of habitats and may represent a repository of unexplored species. As a result of the endophyte-host interaction, plant-associated microorganisms have an enormous biosynthetic potential to produce compounds with novelties in structure and bioactivity. Numerous studies have been published over the years describing the endophytic species isolated in Brazil. Identification of these species is generally performed via DNA sequencing. However, many of the genera to which the described taxa belong were reviewed phylogenetically and many species were reclassified. Thus, there is a gap in the real biodiversity of endophytes isolated in Brazil in the last decade. In this scenario, the present study reviewed the biodiversity of endophytes isolated from plants found in different Brazilian biomes from 2012 to 2017, including the following topics: (i) species diversity, (ii) species identification challenges, (iii) biotechnological aspects, and (iv) identified metabolites. Endophytes of 54 species of plants were studied from 2012 to 2017, resulting in the identification of 300 genera, with Diaporthe and Bacillus being the most frequent fungal and bacterial genera, respectively.

The current approaches to the study of algae: DNA barcoding and DNA taxonomy

2021 ◽  
pp. 124-130
Author(s):  
Anna D. Temraleeva ◽  
Elena S. Krivina ◽  
Yury S. Bukin
Keyword(s):  
Phylogenetic Analysis ◽  
Dna Sequencing ◽  
Dna Barcoding ◽  
Species Identification ◽  
Green Algae ◽  
Molecular Genetic ◽  
Algal Species ◽  
Species Boundaries ◽  
Sequencing Technology ◽  
Dna Taxonomy

The understanding of the impossibility of distinguishing algal species based on morphological features came with the development of DNA sequencing technology, which today is a necessary tool for defining species boundaries and testing traditional species concepts. The paper discusses popular approaches to species identification (DNA barcoding) and the description of new and revision of known species (DNA taxonomy) using molecular genetic methods. The requirements and limitations in their work are given, as well as examples of phylogenetic analysis of green algae from the clade Moewusinia and Parachlorella, including the genus Micractinium.

Seafood Species Identification Using DNA Sequencing

2016 ◽  
pp. 113-132 ◽  
Author(s):  
Rosalee S. Hellberg ◽  
Sophia J. Pollack ◽  
Robert H. Hanner
Keyword(s):  
Dna Sequencing ◽  
Species Identification

Italian market fish species identification and commercial frauds revealing by DNA sequencing

Food Control ◽  
2014 ◽  
Vol 37 ◽  
pp. 46-50 ◽  
Author(s):  
Anna Cutarelli ◽  
Maria Grazia Amoroso ◽  
Antonella De Roma ◽  
Santa Girardi ◽  
Giorgio Galiero ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Species Identification ◽  
Fish Species ◽  
Italian Market ◽  
Fish Species Identification

scholarly journals Rapid, raw-read reference and identification (R4IDs): A flexible platform for rapid generic species ID using long-read sequencing technology

2018 ◽  
Author(s):  
Joe Parker ◽  
Andrew Helmstetter ◽  
James Crowe ◽  
John Iacona ◽  
Dion Devey ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Species Identification ◽  
Sequence Data ◽  
Vascular Plant ◽  
Reference Sequence ◽  
Read Length ◽  
Reference Database ◽  
Sequencing Technology ◽  
Long Read ◽  
Suitable Reference

AbstractThe versatility of the current DNA sequencing platforms and the development of portable, nanopore sequencers means that it has never been easier to collect genetic data for unknown sample ID. DNA barcoding and meta-barcoding have become increasingly popular and barcode databases continue to grow at an impressive rate. However, the number of canonical genome assemblies (reference or draft) that are publically available is relatively tiny, hindering the more widespread use of genome scale DNA sequencing technology for accurate species identification and discovery. Here, we show that rapid raw-read reference datasets, or R4IDs for short, generated in a matter of hours on the Oxford Nanopore MinION, can bridge this gap and accelerate the generation of useable reference sequence data. By exploiting the long read length of this technology, shotgun genomic sequencing of a small portion of an organism’s genome can act as a suitable reference database despite the low sequencing coverage. These R4IDs can then be used for accurate species identification with minimal amounts of re-sequencing effort (1000s of reads). We demonstrated the capabilities of this approach with six vascular plant species for which we created R4IDs in the laboratory and then re-sequenced, live at the Kew Science Festival 2016. We further validated our method using simulations to determine the broader applicability of the approach. Our data analysis pipeline has been made available as a Dockerised workflow for simple, scalable deployment for a range of uses.

DNA sequencing for species identification of meat

2018 ◽  
Vol 21 ◽  
pp. 55-61
Author(s):  
I.V. Soltynskaya ◽  
◽  
O.V. Prasolova ◽  
B.Y. Vetoshnikova ◽  
A.S. Minaylova ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Species Identification
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