The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
454 pyrosequencing analyses of bacterial and archaeal richness in 21 full-scale biogas digesters
Open accessAbstract
The microbial community of 21 full-scale biogas reactors was examined using 454 pyrosequencing of 16S rRNA gene sequences. These reactors included seven (six mesophilic and one thermophilic) digesting sewage sludge (SS) and 14 (ten mesophilic and four thermophilic) codigesting (CD) various combinations of wastes from slaughterhouses, restaurants, households, etc. The pyrosequencing generated more than 160,000 sequences representing 11 phyla, 23 classes, and 95 genera of Bacteria and Archaea. The bacterial community was always both more abundant and more diverse than the archaeal community. At the phylum level, the foremost populations in the SS reactors included Actinobacteria, Proteobacteria, Chloroflexi, Spirochetes, and Euryarchaeota, while Firmicutes was the most prevalent in the CD reactors. The main bacterial class in all reactors was Clostridia. Acetoclastic methanogens were detected in the SS, but not in the CD reactors. Their absence suggests that methane formation from acetate takes place mainly via syntrophic acetate oxidation in the CD reactors. A principal component analysis of the communities at genus level revealed three clusters: SS reactors, mesophilic CD reactors (including one thermophilic CD and one SS), and thermophilic CD reactors. Thus, the microbial composition was mainly governed by the substrate differences and the process temperature.
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
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
Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., & Glockner, F. O. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm864 · Cited by 6,668
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
Cole, J. R., Wang, Q., Cardenas, E., Fish, J., Chai, B., Farris, R. J., Kulam-Syed-Mohideen, A. S., McGarrell, D. M., Marsh, T., Garrity, G. M., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn879 · Cited by 4,762
Microbial Cellulose Utilization: Fundamentals and Biotechnology
Lynd, L. R., Weimer, P. J., van Zyl, W. H., & Pretorius, I. S. (2002) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.66.3.506-577.2002 · Cited by 4,726
Meyer, F., Paarmann, D., D'Souza, M., Olson, R., Glass, E., Kubal, M., Paczian, T., Rodriguez, A., Stevens, R., Wilke, A., et al. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-386 · Cited by 3,565
Gut Microbiota in Human Adults with Type 2 Diabetes Differs from Non-Diabetic Adults
Larsen, N., Vogensen, F. K., van den Berg, F. W. J., Nielsen, D. S., Andreasen, A. S., Pedersen, B. K., Al-Soud, W. A., Sørensen, S. J., Hansen, L. H., & Jakobsen, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009085 · Cited by 2,952
Self-citationYu, Y., Lee, C., Kim, J., & Hwang, S. (2005) · Biotechnology and Bioengineering · doi:10.1002/bit.20347 · Cited by 1,664
Electron transfer in syntrophic communities of anaerobic bacteria and archaea
Stams, A. J. M., & Plugge, C. M. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2166 · Cited by 1,441
Biogas from waste and renewable resources: an introduction
(2009) · Choice Reviews Online · doi:10.5860/choice.46-2682 · Cited by 931
Godon, J. J., Zumstein, E., Dabert, P., Habouzit, F., & Moletta, R. (1997) · Applied and Environmental Microbiology · doi:10.1128/aem.63.7.2802-2813.1997 · Cited by 924
Cited by
A critical review on anaerobic co-digestion achievements between 2010 and 2013
Mata-Alvarez, J., Dosta, J., Romero-Güiza, M. S., Fonoll, X., Peces, M., & Astals, S. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.04.039 · Cited by 1,115
The role of additives on anaerobic digestion: A review
Romero-Güiza, M. S., Vila, J., Mata-Alvarez, J., Chimenos, J. M., & Astals, S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.094 · Cited by 640
Maturation of the gut microbiome and risk of asthma in childhood
Stokholm, J., Blaser, M. J., Thorsen, J., Rasmussen, M. A., Waage, J., Vinding, R. K., Schoos, A.-M. M., Kunøe, A., Fink, N. R., Chawes, B. L., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02573-2 · Cited by 614
Self-citationMethanogens: biochemical background and biotechnological applications
Enzmann, F., Mayer, F., Rother, M., & Holtmann, D. (2018) · AMB Express · doi:10.1186/s13568-017-0531-x · Cited by 437
Anaerobic co-digestion of organic fraction of municipal solid waste (OFMSW): Progress and challenges
Tyagi, V. K., Fdez-Güelfo, L. A., Zhou, Y., Álvarez-Gallego, C. J., Garcia, L. I. R., & Ng, W. J. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.05.051 · Cited by 386
Metadata
- Authors
- Sundberg, C., Al-Soud, W. A., Larsson, M., Alm, E., Yekta, S. S., Svensson, B. H., Sørensen, S. J., & Karlsson, A.
- Venue
- FEMS Microbiology Ecology
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-06-12
- Volume
- 85
- Issue
- 3
- Pages
- 612-626
- ISSN
- 0168-6496 (ISSN-L)
- OpenAlex
- W2025775139
- Cited by
- 717
- References
- 50
- FWCI
- 99.33
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: 454 pyrosequencing analyses of bacterial and archaeal richness in 21 full-scale biogas digesters. https://app.cochat.ai/papers/10.1111/1574-6941.12148
- The paper
- Sundberg, C., Al-Soud, W. A., Larsson, M., Alm, E., Yekta, S. S., Svensson, B. H., Sørensen, S. J., & Karlsson, A. (2013). 454 pyrosequencing analyses of bacterial and archaeal richness in 21 full-scale biogas digesters. FEMS Microbiology Ecology. https://doi.org/10.1111/1574-6941.12148
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.