Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information
Open accessAbstract
The move from OTU-based to sOTU-based analysis, while providing additional resolution, also introduces computational challenges. We demonstrate that one popular method of dealing with sOTUs (building a de novo tree from the short sequences) can provide incorrect results in human gut metagenomic studies and show that phylogenetic placement of the new sequences with SEPP resolves this problem while also yielding other benefits over existing methods.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
There is a relationship between the quality of the tree and the observed phenotype (effect sizes).
“it was established in previous work that there is a relationship between the quality of the tree and the observed phenotype (effect sizes)36.”
From Improving microbial phylogeny with citizen science within a mass-market video game (2025) · cites this paper as [36]
The Results section, “SEPP better reconstructs phylogenies,” says improved tree topology and branch lengths can enhance discrimination between sample groups. The “Malawi children” results show that the Deblur-and-SEPP analysis detected a growth-group difference that the closed-reference analysis did not. These passages support a relationship between phylogenetic reconstruction and detection of phenotype-associated differences, but they do not establish a relationship with phenotype effect sizes specifically; the improved result also involved higher sequence resolution. (LLM, conf=0.82)
Experimental — accuracy not yet measuredGreengenes has been previously benchmarked for fragment insertion, and SEPP with Greengenes has been shown to outperform de novo phylogeny inference when a high-quality tree and alignment are already available.
“Greengenes has been previously benchmarked for fragment insertion, and SEPP with Greengenes has been shown to outperform de novo phylogeny inference, when a high-quality tree and alignment are already available36.”
From Improving microbial phylogeny with citizen science within a mass-market video game (2025) · cites this paper as [36]
The state-of-the-art method for building phylogenetic trees from alignments has been shown to be outperformed on gut microbiome data by the placement of sequences into an existing tree with SEPP, which, when sufficient data are available, outperforms de novo phylogeny estimation from alignments.
“The state-of-the-art method for building phylogenetic trees from alignments has been shown to be outperformed on gut microbiome data by the placement of the sequences into an existing tree with SEPP35,36, which, when sufficient data are available, outperforms de novo phylogeny estimation from alignments36.”
From Improving microbial phylogeny with citizen science within a mass-market video game (2025) · cites this paper as [36]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
Katoh, K., & Standley, D. M. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst010 · Cited by 46,209 · see citing works
Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns
Amir, A., McDonald, D., Navas-Molina, J. A., Kopylova, E., Morton, J. T., Zech Xu, Z., Kightley, E. P., Thompson, L. R., Hyde, E. R., Gonzalez, A., et al. (2017) · mSystems · doi:10.1128/msystems.00191-16 · Cited by 1,881 · see citing works
Self-citationThe microbiome of uncontacted Amerindians
Clemente, J. C., Pehrsson, E. C., Blaser, M. J., Sandhu, K., Gao, Z., Wang, B., Magris, M., Hidalgo, G., Contreras, M., Noya-Alarcón, Ó., et al. (2015) · Science Advances · doi:10.1126/sciadv.1500183 · Cited by 851 · see citing works
Self-citationSEPP: SATé-Enabled Phylogenetic Placement
MIRARAB, S., NGUYEN, N., & WARNOW, T. (2011) · Biocomputing 2012 · doi:10.1142/9789814366496_0024 · Cited by 251 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 24
- [2]Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP 2016 DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods 13: 581– 583. doi: 10.1038/nmeth.3869. 27214047 PMC4927377 · DOI · Paper page
- [3]Ragan-Kelley B, Walters WA, McDonald D, Riley J, Granger BE, Gonzalez A, Knight R, Perez F, Caporaso JG 2013 Collaborative cloud-enabled tools allow rapid, reproducible biological insights. ISME J 7: 461– 464. doi: 10.1038/ismej.2012.123. 23096404 PMC3578576 · DOI
- [4]Moret BME, Roshan U, Warnow T 2002 Sequence-length requirements for phylogenetic methods. Lecture Notes Comput Sci 343– 356. doi: 10.1007/3-540-45784-4_26. · DOI
- [5]Faith DP 1992 Conservation evaluation and phylogenetic diversity. Biol Conserv 61: 1– 10. doi: 10.1016/0006-3207(92)91201-3. · DOI
- [6]Lozupone C, Lladser ME, Knights D, Stombaugh J, Knight R 2011 UniFrac: an effective distance metric for microbial community comparison. ISME J 5: 169– 172. doi: 10.1038/ismej.2010.133. 20827291 PMC3105689 · DOI · Paper page
- [7]Berger SA, Krompass D, Stamatakis A 2011 Performance, accuracy, and Web server for evolutionary placement of short sequence reads under maximum likelihood. Syst Biol 60: 291– 302. doi: 10.1093/sysbio/syr010. 21436105 PMC3078422 · DOI
- [8]Matsen FA, Kodner RB, Armbrust EV 2010 pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree. BMC Bioinformatics 11: 538. doi: 10.1186/1471-2105-11-538. 21034504 PMC3098090 · DOI
- [10]Finn RD, Clements J, Eddy SR 2011 HMMER Web server: interactive sequence similarity searching. Nucleic Acids Res 39: W29– W37. doi: 10.1093/nar/gkr367. 21593126 PMC3125773 · DOI · Paper page
- [11]Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Peña AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Turnbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R 2010 QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7: 335– 336. doi: 10.1038/nmeth.f.303. 20383131 PMC3156573 · DOI · Paper page
- [12]Abrahamson M, Hooker E, Ajami NJ, Petrosino JF, Orwoll ES 2017 Successful collection of stool samples for microbiome analyses from a large community-based population of elderly men. Contemp Clin Trials Commun 7: 158– 162. doi: 10.1016/j.conctc.2017.07.002. 29250605 PMC5726580 · DOI
- [14]Price MN, Dehal PS, Arkin AP 2010 FastTree 2—approximately maximum-likelihood trees for large alignments. PLoS One 5: e9490. doi: 10.1371/journal.pone.0009490. 20224823 PMC2835736 · DOI · Paper page
- [15]McDonald D, Price MN, Goodrich J, Nawrocki EP, DeSantis TZ, Probst A, Andersen GL, Knight R, Hugenholtz P 2012 An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J 6: 610– 618. doi: 10.1038/ismej.2011.139. 22134646 PMC3280142 · DOI
- [16]Caporaso JG, Bittinger K, Bushman FD, DeSantis TZ, Andersen GL, Knight R 2010 PyNAST: a flexible tool for aligning sequences to a template alignment. Bioinformatics 26: 266– 267. doi: 10.1093/bioinformatics/btp636. 19914921 PMC2804299 · DOI
- [17]Trehan I, Benzoni NS, Wang AZ, Bollinger LB, Ngoma TN, Chimimba UK, Stephenson KB, Agapova SE, Maleta KM, Manary MJ 2015 Common beans and cowpeas as complementary foods to reduce environmental enteric dysfunction and stunting in Malawian children: study protocol for two randomized controlled trials. Trials 16: 520. doi: 10.1186/s13063-015-1027-0. 26578308 PMC4650393 · DOI
- [18]Anderson MJ 2001 A new method for non-parametric multivariate analysis of variance. Austral Ecol 26: 32– 46. doi: 10.1111/j.1442-9993.2001.01070.pp.x. · DOI · Paper page
- [19]Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominguez-Bello MG, Contreras M, Magris M, Hidalgo G, Baldassano RN, Anokhin AP, Heath AC, Warner B, Reeder J, Kuczynski J, Caporaso JG, Lozupone CA, Lauber C, Clemente JC, Knights D, Knight R, Gordon JI 2012 Human gut microbiome viewed across age and geography. Nature 486: 222– 227. doi: 10.1038/nature11053. 22699611 PMC3376388 · DOI · Paper page
- [20]Hamady M, Lozupone C, Knight R 2010 Fast UniFrac: facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data. ISME J 4: 17– 27. doi: 10.1038/ismej.2009.97. 19710709 PMC2797552 · DOI
- [21]Lozupone CA, Hamady M, Kelley ST, Knight R 2007 Quantitative and qualitative diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol 73: 1576– 1585. doi: 10.1128/AEM.01996-06. 17220268 PMC1828774 · DOI
- [22]Robinson DF, Foulds LR 1981 Comparison of phylogenetic trees. Math Biosci 53: 131– 147. doi: 10.1016/0025-5564(81)90043-2. · DOI
- [23]Rideout JR, He Y, Navas-Molina JA, Walters WA, Ursell LK, Gibbons SM, Chase J, McDonald D, Gonzalez A, Robbins-Pianka A, Clemente JC, Gilbert JA, Huse SM, Zhou HW, Knight R, Caporaso JG 2014 Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences. PeerJ 2: e545. doi: 10.7717/peerj.545. 25177538 PMC4145071 · DOI
- [24]Kopylova E, Noé L, Touzet H 2012 SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics 28: 3211– 3217. doi: 10.1093/bioinformatics/bts611. 23071270 · DOI
- [25]Song SJ, Lauber C, Costello EK, Lozupone CA, Humphrey G, Berg-Lyons D, Caporaso JG, Knights D, Clemente JC, Nakielny S, Gordon JI, Fierer N, Knight R 2013 Cohabiting family members share microbiota with one another and with their dogs. Elife 2: e00458. doi: 10.7554/eLife.00458. 23599893 PMC3628085 · DOI
- [27]Thompson LR, Sanders JG, McDonald D, Amir A, Ladau J, Locey KJ, Prill RJ, Tripathi A, Gibbons SM, Ackermann G, Navas-Molina JA, Janssen S, Kopylova E, Vázquez-Baeza Y, González A, Morton JT, Mirarab S, Zech Xu Z, Jiang L, Haroon MF, Kanbar J, Zhu Q, Jin Song S, Kosciolek T, Bokulich NA, Lefler J, Brislawn CJ, Humphrey G, Owens SM, Hampton-Marcell J, Berg-Lyons D, McKenzie V, Fierer N, Fuhrman JA, Clauset A, Stevens RL, Shade A, Pollard KS, Goodwin KD, Jansson JK, Gilbert JA, Knight R; Earth Microbiome Project 2017 A communal catalogue reveals Earth’s multiscale microbial diversity. Nature 551: 457– 463. doi: 10.1038/nature24621. 29088705 PMC6192678 · DOI · Paper page
- [28]Rodgers DP 1985 Improvements in multiprocessor system design. Comput Archit News 13: 225– 231. doi: 10.1145/327070.327215. · DOI
Cited by
Sorted by citations
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., Alexander, H., Alm, E. J., Arumugam, M., Asnicar, F., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0209-9 · Cited by 23,742 · see citing works
Self-citationHuman Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice
Sharon, G., Cruz, N. J., Kang, D.-W., Gandal, M. J., Wang, B., Kim, Y.-M., Zink, E. M., Casey, C. P., Taylor, B. C., Lane, C. J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.05.004 · Cited by 1,182 · see citing works
Self-citationTaylor, B. C., Lejzerowicz, F., Poirel, M., Shaffer, J. P., Jiang, L., Aksenov, A., Litwin, N., Humphrey, G., Martino, C., Miller-Montgomery, S., et al. (2020) · mSystems · doi:10.1128/msystems.00901-19 · Cited by 203 · see citing works
Self-citationPatterns of Oral Microbiota Diversity in Adults and Children: A Crowdsourced Population Study
Burcham, Z. M., Garneau, N. L., Comstock, S. S., Tucker, R. M., Knight, R., Metcalf, J. L., Scientists, G. O. T. L. C., Miranda, A., Reinhart, B., Meyers, D., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-59016-0 · Cited by 183 · see citing works
Self-citationBrunt, V. E., Gioscia‐Ryan, R. A., Richey, J. J., Zigler, M. C., Cuevas, L. M., Gonzalez, A., Vázquez‐Baeza, Y., Battson, M. L., Smithson, A. T., Gilley, A. D., et al. (2019) · The Journal of Physiology · doi:10.1113/jp277336 · Cited by 182 · see citing works
Self-citationEffects of the microalgae Chlamydomonas on gastrointestinal health
Fields, F. J., Lejzerowicz, F., Schroeder, D., Ngoi, S. M., Tran, M., McDonald, D., Jiang, L., Chang, J. T., Knight, R., & Mayfield, S. (2020) · Journal of Functional Foods · doi:10.1016/j.jff.2019.103738 · Cited by 104 · see citing works
Self-citationA data-driven approach for predicting the impact of drugs on the human microbiome
Algavi, Y. M., & Borenstein, E. (2023) · Nature Communications · doi:10.1038/s41467-023-39264-0 · Cited by 54 · see citing works
Macandog, A. D. G., Catozzi, C., Capone, M., Nabinejad, A., Nanaware, P. P., Liu, S., Vinjamuri, S., Stunnenberg, J. A., Galiè, S., Jodice, M. G., et al. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.10.006 · Cited by 40 · see citing works
O’Brien, A. M., Laurich, J. R., & Frederickson, M. E. (2024) · Evolution · doi:10.1093/evolut/qpad183 · Cited by 21 · see citing works
Improving microbial phylogeny with citizen science within a mass-market video game
Sarrazin-Gendron, R., Ghasemloo Gheidari, P., Butyaev, A., Keding, T., Cai, E., Zheng, J., Mutalova, R., Mounthanyvong, J., Zhu, Y., Nazarova, E., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02175-6 · Cited by 9 · see citing works
Self-citation
- Authors
- Janssen, S., McDonald, D., Gonzalez, A., Navas-Molina, J. A., Jiang, L., Xu, Z. Z., Winker, K., Kado, D. M., Orwoll, E., Manary, M., Mirarab, S., & Knight, R.
- Affiliations
- University of California San Diego (US)
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- University of Alaska Fairbanks (US)
- Oregon Health & Science University (US)
- Washington University in St. Louis (US)
- Corresponding author
- Knight, Rob
- ORCID
- Venue
- mSystems
- Publisher
- American Society for Microbiology
- Published
- 2018-06-26
- Volume
- 3
- Issue
- 3
- ISSN
- 2379-5077 (ISSN-L)
- PMC
- PMC5904434
- OpenAlex
- W2800461749
- Cited by
- 536
- References
- 4
- Citations by year
- 2026: 40 · 2025: 55 · 2024: 68 · 2023: 89 · 2022: 102 · 2021: 108 · 2020: 50 · 2019: 22 · 2018: 2
- FWCI
- 16.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mSystems (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- PUB – Publications at Bielefeld University (Bielefeld University) (submittedVersion, cc-by)
- Funders
- HHS | National Institutes of Health (P01DK078669, RHL134887A, U01 AG027810, U01 AG042124, U01 AG042139, U01 AG042140, U01 AG042143, U01 AG042145, U01 AG042168, U01 AR066160, UL1 TR000128)
- National Science Foundation (DBI-1565057, ACI-1053575, IIS-1565862)
- United States Agency for International Development (EDH-A-00-07-00005-00)
- Alfred P. Sloan Foundation (G-2015-13979, G-2015-13933)
- DOD | United States Navy | Office of Naval Research (N00014-15-1-2809)
- Janssen Pharmaceuticals (20175015)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- phylogenetic placement
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