scholarly journals Detecting HTS Barcode Contamination

2018 ◽  
Author(s):  
Mallory A. Clark ◽  
Sara H. Stankiewicz ◽  
Vincent Barronette ◽  
Darrell O. Ricke

AbstractDNA barcoding enables multiple samples to be characterized in parallel with high throughput sequencing (HTS) experiments for cost efficiencies. Cross-contamination of DNA barcode reagents can result in the detection of HTS sequences for barcodes that were not originally added to a particular sample. Cross-contamination of data between multiplexed samples can also occur. Avoidance and detection of contaminated barcodes is relevant for DNA forensic samples analysis, accurate cancer diagnosis, clinical research applications, metagenomic analysis, etc. We present recommendations for the avoidance of contamination and a tool, TallyBarcodes, to aid in the detection of DNA barcode contamination.

2016 ◽  
Vol 32 (10) ◽  
pp. 1486-1492 ◽  
Author(s):  
Gabriel H. Murillo ◽  
Na You ◽  
Xiaoquan Su ◽  
Wei Cui ◽  
Muredach P. Reilly ◽  
...  

Genome ◽  
2017 ◽  
Vol 60 (11) ◽  
pp. 875-879 ◽  
Author(s):  
Sarah J. Adamowicz ◽  
Peter M. Hollingsworth ◽  
Sujeevan Ratnasingham ◽  
Michelle van der Bank

Participants in the 7th International Barcode of Life Conference (Kruger National Park, South Africa, 20–24 November 2017) share the latest findings in DNA barcoding research and its increasingly diversified applications. Here, we review prevailing trends synthesized from among 429 invited and contributed abstracts, which are collated in this open-access special issue of Genome. Hosted for the first time on the African continent, the 7th Conference places special emphasis on the evolutionary origins, biogeography, and conservation of African flora and fauna. Within Africa and elsewhere, DNA barcoding and related techniques are being increasingly used for wildlife forensics and for the validation of commercial products, such as medicinal plants and seafood species. A striking trend of the conference is the dramatic rise of studies on environmental DNA (eDNA) and on diverse uses of high-throughput sequencing techniques. Emerging techniques in these areas are opening new avenues for environmental biomonitoring, managing species-at-risk and invasive species, and revealing species interaction networks in unprecedented detail. Contributors call for the development of validated community standards for high-throughput sequence data generation and analysis, to enable the full potential of these methods to be realized for understanding and managing biodiversity on a global scale.


Genome ◽  
2019 ◽  
Vol 62 (3) ◽  
pp. 85-95 ◽  
Author(s):  
Jeremy R. deWaard ◽  
Valerie Levesque-Beaudin ◽  
Stephanie L. deWaard ◽  
Natalia V. Ivanova ◽  
Jaclyn T.A. McKeown ◽  
...  

Monitoring changes in terrestrial arthropod communities over space and time requires a dramatic increase in the speed and accuracy of processing samples that cannot be achieved with morphological approaches. The combination of DNA barcoding and Malaise traps allows expedited, comprehensive inventories of species abundance whose cost will rapidly decline as high-throughput sequencing technologies advance. Aside from detailing protocols from specimen sorting to data release, this paper describes their use in a survey of arthropod diversity in a national park that examined 21 194 specimens representing 2255 species. These protocols can support arthropod monitoring programs at regional, national, and continental scales.


2020 ◽  
Vol 230 (2) ◽  
pp. 185-201 ◽  
Author(s):  
Susan R. Kennedy ◽  
Stefan Prost ◽  
Isaac Overcast ◽  
Andrew J. Rominger ◽  
Rosemary G. Gillespie ◽  
...  

2018 ◽  
Author(s):  
Chentao Yang ◽  
Shangjin Tan ◽  
Guangliang Meng ◽  
David G. Bourne ◽  
Paul A. O’Brien ◽  
...  

SummaryOver the last decade, the rapid development of high-throughput sequencing platforms has accelerated species description and assisted morphological classification through DNA barcoding. However, constraints in barcoding costs led to unbalanced efforts which prevented accurate taxonomic identification for biodiversity studies.We present a high throughput sequencing approach based on the HIFI-SE pipeline which takes advantage of Single-End 400 bp (SE400) sequencing data generated by BGISEQ-500 to produce full-length Cytochrome c oxidase subunit I (COI) barcodes from pooled polymerase chain reaction amplicons. HIFI-SE was written in Python and included four function modules of filter, assign, assembly and taxonomy.We applied the HIFI-SE to a test plate which contained 96 samples (30 corals, 64 insects and 2 blank controls) and delivered a total of 86 fully assembled HIFI COI barcodes. By comparing to their corresponding Sanger sequences (72 sequences available), it showed that most of the samples (98.61%, 71/72) were correctly and accurately assembled, including 46 samples that had a similarity of 100% and 25 of ca. 99%.Our approach can produce standard full-length barcodes cost efficiently, allowing DNA barcoding for global biomes which will advance DNA-based species identification for various ecosystems and improve quarantine biosecurity efforts.


2020 ◽  
Vol 8 ◽  
Author(s):  
Matthew Bowser ◽  
Rebekah Brassfield ◽  
Annie Dziergowski ◽  
Todd Eskelin ◽  
Jennifer Hester ◽  
...  

The Kenai National Wildlife Refuge has been given a broad conservation mandate to conserve natural diversity. A prerequisite for fulfilling this purpose is to be able to identify the species and communities that make up that biodiversity. We tested a set of varied methods for inventory and monitoring of plants, birds and terrestrial invertebrates on a grid of 40 sites in a 938 ha study area in the Slikok Creek watershed, Kenai Peninsula, Alaska. We sampled plants and lichens through observation and specimen-based methods. We surveyed birds using bird call surveys on variable circular plots. We sampled terrestrial arthropods by sweep net sampling, processing samples with High Throughput Sequencing methods. We surveyed for earthworms, using the hot mustard extraction method and identified worm specimens by morphology and DNA barcoding. We examined community membership using clustering methods and Nonmetric Multidimensional Scaling. We documented a total of 4,764 occurrences of 984 species and molecular operational taxonomic units: 87 vascular plants, 51 mosses, 12 liverworts, 111 lichens, 43 vertebrates, 663 arthropods, 9 molluscs and 8 annelid worms. Amongst these records, 102 of the arthropod species appeared to be new records for Alaska. We found three non-native species: Deroceras agreste (Linnaeus, 1758) (Stylommatophora: Agriolimacidae), Dendrobaena octaedra (Savigny, 1826) (Crassiclitellata: Lumbricidae) and Heterarthrus nemoratus (Fallén, 1808) (Hymenoptera: Tenthredinidae). Both D. octaedra and H. nemoratus were found at sites distant from obvious human disturbance. The 40 sites were grouped into five community groups: upland mixed forest, black spruce forest, open deciduous forest, shrub-sedge bog and willow. We demonstrated that, at least for a subset of species that could be detected using these methods, we were able to document current species distributions and assemblages in a way that could be efficiently repeated for the purposes of biomonitoring. While our methods could be improved and additional methods and groups could be added, our combination of techniques yielded a substantial portion of the data necessary for fulfilling Kenai National Wildlife Refuge's broad conservation purposes.


Genome ◽  
2016 ◽  
Vol 59 (11) ◽  
pp. 946-958 ◽  
Author(s):  
Joanne E. Littlefair ◽  
Elizabeth L. Clare

Society faces the complex challenge of supporting biodiversity and ecosystem functioning, while ensuring food security by providing safe traceable food through an ever-more-complex global food chain. The increase in human mobility brings the added threat of pests, parasites, and invaders that further complicate our agro-industrial efforts. DNA barcoding technologies allow researchers to identify both individual species, and, when combined with universal primers and high-throughput sequencing techniques, the diversity within mixed samples (metabarcoding). These tools are already being employed to detect market substitutions, trace pests through the forensic evaluation of trace “environmental DNA”, and to track parasitic infections in livestock. The potential of DNA barcoding to contribute to increased security of the food chain is clear, but challenges remain in regulation and the need for validation of experimental analysis. Here, we present an overview of the current uses and challenges of applied DNA barcoding in agriculture, from agro-ecosystems within farmland to the kitchen table.


2005 ◽  
Vol 360 (1462) ◽  
pp. 1897-1903 ◽  
Author(s):  
R.C Summerbell ◽  
C.A Lévesque ◽  
K.A Seifert ◽  
M Bovers ◽  
J.W Fell ◽  
...  

After the process of DNA barcoding has become well advanced in a group of organisms, as it has in the economically important fungi, the question then arises as to whether shorter and literally more barcode-like DNA segments should be utilized to facilitate rapid identification and, where applicable, detection. Through appropriate software analysis of typical full-length barcodes (generally over 500 base pairs long), uniquely distinctive oligonucleotide ‘microcodes’ of less than 25 bp can be found that allow rapid identification of circa 100–200 species on various array-like platforms. Microarrays can in principle fulfill the function of microcode-based species identification but, because of their high cost and low level of reusability, they tend to be less cost-effective. Two alternative platforms in current use in fungal identification are reusable nylon-based macroarrays and the Luminex system of specific, colour-coded DNA detection beads analysed by means of a flow cytometer. When the most efficient means of rapid barcode-based species identification is sought, a choice can be made either for one of these methodologies or for basic high-throughput sequencing, depending on the strategic outlook of the investigator and on current costs. Arrays and functionally similar platforms may have a particular advantage when a biologically complex material such as soil or a human respiratory secretion sample is analysed to give a census of relevant species present.


BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Chentao Yang ◽  
Yuxuan Zheng ◽  
Shangjin Tan ◽  
Guanliang Meng ◽  
Wei Rao ◽  
...  

Abstract Background Over the last decade, the rapid development of high-throughput sequencing platforms has accelerated species description and assisted morphological classification through DNA barcoding. However, the current high-throughput DNA barcoding methods cannot obtain full-length barcode sequences due to read length limitations (e.g. a maximum read length of 300 bp for the Illumina’s MiSeq system), or are hindered by a relatively high cost or low sequencing output (e.g. a maximum number of eight million reads per cell for the PacBio’s SEQUEL II system). Results Pooled cytochrome c oxidase subunit I (COI) barcodes from individual specimens were sequenced on the MGISEQ-2000 platform using the single-end 400 bp (SE400) module. We present a bioinformatic pipeline, HIFI-SE, that takes reads generated from the 5′ and 3′ ends of the COI barcode region and assembles them into full-length barcodes. HIFI-SE is written in Python and includes four function modules of filter, assign, assembly and taxonomy. We applied the HIFI-SE to a set of 845 samples (30 marine invertebrates, 815 insects) and delivered a total of 747 fully assembled COI barcodes as well as 70 Wolbachia and fungi symbionts. Compared to their corresponding Sanger sequences (72 sequences available), nearly all samples (71/72) were correctly and accurately assembled, including 46 samples that had a similarity score of 100% and 25 of ca. 99%. Conclusions The HIFI-SE pipeline represents an efficient way to produce standard full-length barcodes, while the reasonable cost and high sensitivity of our method can contribute considerably more DNA barcodes under the same budget. Our method thereby advances DNA-based species identification from diverse ecosystems and increases the number of relevant applications.


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