Ultrasequencing of the meiofaunal biosphere: practice, pitfalls and promises

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, morphol...

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Veröffentlicht in:Molecular ecology 2010-03, Vol.19 (s1), p.4-20
Hauptverfasser: 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.
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container_end_page 20
container_issue s1
container_start_page 4
container_title Molecular ecology
container_volume 19
creator 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.
description 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.
doi_str_mv 10.1111/j.1365-294X.2009.04473.x
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subjects 454 environmental sequencing
Animals
Biodiversity
Computational Biology
DNA - isolation & purification
Ecology
Ecosystem
Eukaryotes
Evolution, Molecular
meiofaunal and eukaryotic biodiversity
metagenetics
metagenomics
Metagenomics - methods
Molecular biology
Phylogeny
Polymerase Chain Reaction - methods
Ribosome Subunits, Small, Eukaryotic
RNA, Ribosomal, 18S - genetics
Sequence Analysis, DNA - methods
Taxonomy
title Ultrasequencing of the meiofaunal biosphere: practice, pitfalls and promises
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