The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ultra-deep sequencing enables high-fidelity recovery of biodiversity for bulk arthropod samples without PCR amplification
Open accessAbstract
BACKGROUND: Next-generation-sequencing (NGS) technologies combined with a classic DNA barcoding approach have enabled fast and credible measurement for biodiversity of mixed environmental samples. However, the PCR amplification involved in nearly all existing NGS protocols inevitably introduces taxonomic biases. In the present study, we developed new Illumina pipelines without PCR amplifications to analyze terrestrial arthropod communities. RESULTS: Mitochondrial enrichment directly followed by Illumina shotgun sequencing, at an ultra-high sequence volume, enabled the recovery of Cytochrome c Oxidase subunit 1 (COI) barcode sequences, which allowed for the estimation of species composition at high fidelity for a terrestrial insect community. With 15.5 Gbp Illumina data, approximately 97% and 92% were detected out of the 37 input Operational Taxonomic Units (OTUs), whether the reference barcode library was used or not, respectively, while only 1 novel OTU was found for the latter. Additionally, relatively strong correlation between the sequencing volume and the total biomass was observed for species from the bulk sample, suggesting a potential solution to reveal relative abundance. CONCLUSIONS: The ability of the new Illumina PCR-free pipeline for DNA metabarcoding to detect small arthropod specimens and its tendency to avoid most, if not all, false positives suggests its great potential in biodiversity-related surveillance, such as in biomonitoring programs. However, further improvement for mitochondrial enrichment is likely needed for the application of the new pipeline in analyzing arthropod communities at higher diversity.
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Cites
De novo assembly of human genomes with massively parallel short read sequencing
Li, R., Zhu, H., Ruan, J., Qian, W., Fang, X., Shi, Z., Li, Y., Li, S., Shan, G., Kristiansen, K., et al. (2010) · Genome Research · doi:10.1101/gr.097261.109 · Cited by 2,926 · cited 5×
“This pipeline has been adapted from SOAPdenovo2 [46] and therefore distributed under the same license terms.”
MethodInfluentialSelf-citationQuail, M., Smith, M. E., Coupland, P., Otto, T. D., Harris, S. R., Connor, T. R., Bertoni, A., Swerdlow, H. P., & Gu, Y. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-341 · Cited by 2,031 · cited 1×
“Provided that the current sequencing cost for Hiseq 2000 (based on the list price from the manufacturer) is approximately $40 per gigabase, the sequence yield per run is 600 Gb [49], and the sequencing volume needed to reveal insect richness from bulk samples (based on empirical data of this paper), we calculate the a…”
BackgroundHajibabaei, M., Shokralla, S., Zhou, X., Singer, G. A. C., & Baird, D. J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017497 · Cited by 584
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Cited by
Elbrecht, V., & Leese, F. (2015) · PLOS ONE · doi:10.1371/journal.pone.0130324 · Cited by 765
Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding
Ji, Y., Ashton, L., Pedley, S. M., Edwards, D. P., Tang, Y., Nakamura, A., Kitching, R., Dolman, P. M., Woodcock, P., Edwards, F. A., et al. (2013) · Ecology Letters · doi:10.1111/ele.12162 · Cited by 662
Piñol, J., Mir, G., Gomez‐Polo, P., & Agustí, N. (2015) · Molecular Ecology Resources · doi:10.1111/1755-0998.12355 · Cited by 423
Stein, E. D., Martinez, M. C., Stiles, S., Miller, P. E., & Zakharov, E. V. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095525 · Cited by 152
All-Food-Seq (AFS): a quantifiable screen for species in biological samples by deep DNA sequencing
Ripp, F., Krombholz, C. F., Liu, Y., Weber, M., Schäfer, A., Schmidt, B., Köppel, R., & Hankeln, T. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-639 · Cited by 66
Metadata
- Authors
- Zhou, X., Li, Y., Liu, S., Yang, Q., Su, X., Zhou, L., Tang, M., Fu, R., Li, J., & Huang, Q.
- Venue
- GigaScience
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-03-27
- Volume
- 2
- Issue
- 1
- Pages
- 4-4
- ISSN
- 2047-217X (ISSN-L)
- OpenAlex
- W2112732800
- Cited by
- 291
- References
- 3
- FWCI
- 27.05
- Type
- journal article
- Language
- en
- Open access
- gold
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