The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Biomonitoring 2.0: a new paradigm in ecosystem assessment made possible by next‐generation DNA sequencing
Open accessAbstract
Biological monitoring has failed to develop from simple binary assessment outcomes of the impacted/unimpacted type, towards more diagnostic frameworks, despite significant scientific effort over the past fifty years. It is our assertion that this is largely because of the limited information content of biological samples processed by traditional morphology‐based taxonomy, which is a slow, imprecise process, focused on restricted groups of organisms. We envision a new paradigm in ecosystem assessment, which we refer to as ‘Biomonitoring 2.0’. This new schema employs DNA‐based identification of taxa, coupled with high‐throughput DNA sequencing on next‐generation sequencing platforms. We discuss the transformational nature of DNA‐based approaches in biodiversity discovery and ecosystem assessment and outline a path forward for their future widespread application.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
Global patterns of bacterial beta-diversity in seafloor and seawater ecosystems
Zinger, L., Amaral-Zettler, L. A., Fuhrman, J. A., Horner-Devine, M. C., Huse, S. M., Welch, D. B. M., Martiny, J. B. H., Sogin, M., Boetius, A., & Ramette, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024570 · Cited by 643 · cited 1×
“Until recently, this technology had largely been applied to the issue of exploring microbial diversity (e.g. Sogin et al. 2006; Zinger et al. 2011), where traditional taxonomic approaches have limited application.”
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
Self-citation
Cited by
Environmental DNA – An emerging tool in conservation for monitoring past and present biodiversity
Thomsen, P. F., & Willerslev, E. (2015) · Biological Conservation · doi:10.1016/j.biocon.2014.11.019 · Cited by 2,082
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
Comparing bioinformatic pipelines for microbial 16S rRNA amplicon sequencing
Prodan, A., Tremaroli, V., Brolin, H., Zwinderman, A. H., Nieuwdorp, M., & Levin, E. (2020) · PLOS ONE · doi:10.1371/journal.pone.0227434 · Cited by 462
Elbrecht, V., Vamos, E. E., Meissner, K., Aroviita, J., & Leese, F. (2017) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12789 · Cited by 385
Carew, M. E., Pettigrove, V. J., Metzeling, L., & Hoffmann, A. A. (2013) · Frontiers in Zoology · doi:10.1186/1742-9994-10-45 · Cited by 243
Metadata
- Authors
- BAIRD, D. J., & HAJIBABAEI, M.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2012-03-16
- Volume
- 21
- Issue
- 8
- Pages
- 2039-2044
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W1585980954
- Cited by
- 502
- References
- 3
- FWCI
- 16.14
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
