The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sequence Depth, Not PCR Replication, Improves Ecological Inference from Next Generation DNA Sequencing
Open accessAbstract
Recent advances in molecular approaches and DNA sequencing have greatly progressed the field of ecology and allowed for the study of complex communities in unprecedented detail. Next generation sequencing (NGS) can reveal powerful insights into the diversity, composition, and dynamics of cryptic organisms, but results may be sensitive to a number of technical factors, including molecular practices used to generate amplicons, sequencing technology, and data processing. Despite the popularity of some techniques over others, explicit tests of the relative benefits they convey in molecular ecology studies remain scarce. Here we tested the effects of PCR replication, sequencing depth, and sequencing platform on ecological inference drawn from environmental samples of soil fungi. We sequenced replicates of three soil samples taken from pine biomes in North America represented by pools of either one, two, four, eight, or sixteen PCR replicates with both 454 pyrosequencing and Illumina MiSeq. Increasing the number of pooled PCR replicates had no detectable effect on measures of α- and β-diversity. Pseudo-β-diversity - which we define as dissimilarity between re-sequenced replicates of the same sample - decreased markedly with increasing sampling depth. The total richness recovered with Illumina was significantly higher than with 454, but measures of α- and β-diversity between a larger set of fungal samples sequenced on both platforms were highly correlated. Our results suggest that molecular ecology studies will benefit more from investing in robust sequencing technologies than from replicating PCRs. This study also demonstrates the potential for continuous integration of older datasets with newer technology.
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QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
PANDAseq: paired-end assembler for Illumina sequences
Masella, A. P., Bartram, A. K., Truszkowski, J. M., Brown, D. G., & Neufeld, J. D. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-31 · Cited by 2,132
Cited by
Chronic nitrogen additions fundamentally restructure the soil fungal community in a temperate forest
Morrison, E. W., Frey, S. D., Sadowsky, J. J., van Diepen, L. T. A., Thomas, W. K., & Pringle, A. (2016) · Fungal Ecology · doi:10.1016/j.funeco.2016.05.011 · Cited by 258
Microbiome dynamics during ensiling of corn with and without Lactobacillus plantarum inoculant
Keshri, J., Chen, Y., Pinto, R., Kroupitski, Y., Weinberg, Z. G., & Sela, S. (2018) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-018-8903-y · Cited by 210
Ishaq, S. L., AlZahal, O., Walker, N., & McBride, B. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01943 · Cited by 61
“For statistical analysis, protozoa were subsampled (normalized) to 5,000 sequences/sample, and fungi were subsampled to 500 sequences/sample due to low reads/sample (Supplemental Table 3; Smith et al., 2014).”
MethodTournayre, O., Tian, H., Lougheed, D. R., Windle, M. J. S., Lambert, S., Carter, J., Sun, Z., Ridal, J., Wang, Y., Cumming, B. F., et al. (2024) · Environmental DNA · doi:10.1002/edn3.590 · Cited by 13
Metadata
- Authors
- Smith, D. P., & Peay, K. G.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-02-28
- Volume
- 9
- Issue
- 2
- Pages
- e90234
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2006282417
- Cited by
- 553
- References
- 3
- FWCI
- 46.49
- Type
- journal article
- Language
- en
- Open access
- gold
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