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Ultrasequencing of the meiofaunal biosphere: practice, pitfalls and promises
Open accessAbstract
Biodiversity assessment is the key to understanding the relationship between biodiversity and ecosystem functioning, but there is a well‐acknowledged biodiversity identification gap related to eukaryotic meiofaunal organisms. Meiofaunal identification is confounded by the small size of taxa, morphological convergence and intraspecific variation. However, the most important restricting factor in meiofaunal ecological research is the mismatch between diversity and the number of taxonomists that are able to simultaneously identify and catalogue meiofaunal diversity. Accordingly, a molecular operational taxonomic unit (MOTU)‐based approach has been advocated for en mass meiofaunal biodiversity assessment, but it has been restricted by the lack of throughput afforded by chain termination sequencing. Contemporary pyrosequencing offers a solution to this problem in the form of environmental metagenetic analyses, but this represents a novel field of biodiversity assessment. Here, we provide an overview of meiofaunal metagenetic analyses, ranging from sample preservation and DNA extraction to PCR, sequencing and the bioinformatic interrogation of multiple, independent samples using 454 Roche sequencing platforms. We report two examples of environmental metagenetic nuclear small subunit 18S (nSSU) analyses of marine and tropical rainforest habitats and provide critical appraisals of the level of putative recombinant DNA molecules (chimeras) in metagenetic data sets. Following stringent quality control measures, environmental metagenetic analyses achieve MOTU formation across the eukaryote domain of life at a fraction of the time and cost of traditional approaches. The effectiveness of Roche 454 sequencing brings substantial advantages to studies aiming to elucidate the molecular genetic richness of not only meiofaunal, but also all complex eukaryotic communities.
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Cites
Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species
Hebert, P. D. N., Ratnasingham, S., & de Waard, J. R. (2003) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rsbl.2003.0025 · Cited by 4,466
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
Cited by
Towards next-generation biodiversity assessment using DNA metabarcoding
TABERLET, P., COISSAC, E., POMPANON, F., BROCHMANN, C., & WILLERSLEV, E. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05470.x · Cited by 1,907
Leray, M., Yang, J. Y., Meyer, C. P., Mills, S. C., Agudelo, N., Ranwez, V., Boehm, J. T., & Machida, R. J. (2013) · Frontiers in Zoology · doi:10.1186/1742-9994-10-34 · Cited by 1,636
Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring
Yu, D. W., Ji, Y., Emerson, B. C., Wang, X., Ye, C., Yang, C., & Ding, Z. (2012) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00198.x · Cited by 744
Hajibabaei, M., Shokralla, S., Zhou, X., Singer, G. A. C., & Baird, D. J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017497 · Cited by 584
Hänfling, B., Lawson Handley, L., Read, D. S., Hahn, C., Li, J., Nichols, P., Blackman, R. C., Oliver, A., & Winfield, I. J. (2016) · Molecular Ecology · doi:10.1111/mec.13660 · Cited by 567
Metadata
- Authors
- CREER, S., FONSECA, V. G., PORAZINSKA, D. L., GIBLIN‐DAVIS, R. M., SUNG, W., POWER, D. M., PACKER, M., CARVALHO, G. R., BLAXTER, M. L., LAMBSHEAD, P. J. D., & THOMAS, W. K.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2010-02-10
- Volume
- 19
- Issue
- s1
- Pages
- 4-20
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2115000471
- Cited by
- 362
- References
- 2
- FWCI
- 22.39
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CREER, S., FONSECA, V. G., PORAZINSKA, D. L., GIBLIN‐DAVIS, R. M., SUNG, W., POWER, D. M., PACKER, M., CARVALHO, G. R., BLAXTER, M. L., LAMBSHEAD, P. J. D., & THOMAS, W. K. (2010). Ultrasequencing of the meiofaunal biosphere: practice, pitfalls and promises. Molecular Ecology. https://doi.org/10.1111/j.1365-294x.2009.04473.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.