Cited by 267

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life

Mukherjee, Supratim, Seshadri, Rekha, Varghese, Neha J, Eloe-Fadrosh, Emiley A, Meier-Kolthoff, Jan P, Göker, Markus, Coates, R Cameron, Hadjithomas, Michalis, Pavlopoulos, Georgios A, Paez-Espino, David, Yoshikuni, Yasuo, Visel, Axel, Whitman, William B, Garrity, George M, Eisen, Jonathan A, Hugenholtz, Philip, Pati, Amrita, Ivanova, Natalia N, Woyke, Tanja, Klenk, Hans-Peter, Kyrpides, Nikos C·2017·Nature Biotechnology

Abstract

We present 1,003 reference genomes that were sequenced as part of the Genomic Encyclopedia of Bacteria and Archaea (GEBA) initiative, selected to maximize sequence coverage of phylogenetic space. These genomes double the number of existing type strains and expand their overall phylogenetic diversity by 25%. Comparative analyses with previously available finished and draft genomes reveal a 10.5% increase in novel protein families as a function of phylogenetic diversity. The GEBA genomes recruit 25 million previously unassigned metagenomic proteins from 4,650 samples, improving their phylogenetic and functional interpretation. We identify numerous biosynthetic clusters and experimentally validate a divergent phenazine cluster with potential new chemical structure and antimicrobial activity. This Resource is the largest single release of reference genomes to date. Bacterial and archaeal isolate sequence space is still far from saturated, and future endeavors in this direction will continue to be a valuable resource for scientific discovery.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nbt.3886

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 GEBA-I strain phylogeny and distribution. ( a ) Maximum likelihood tree based on concatenated alignment of 56 conserved protein markers from representative genomes from all cultivated phyla. Phyla containing a GEBA-I genome are colored red, while all other phyla are colored gray. Pie charts represent the fraction of genera contributed by GEBA-I genomes (red) to the total number of genera per phylum (blue). The number of new genera added by GEBA-I per phylum is displayed next to the pie charts. Bootstrap support values ≥ 50% are shown with small circles on nodes with robust phylogenetic support. ( b ) Overall increase in 16S rRNA gene diversity relative to all the type strains. Blue denotes the genetic diversity covered by 828 genomes of type strains before GEBA-I, red denotes the diversity covered by the GEBA-I genomes and gray denotes the remaining type strains lacking a genome sequence. Balanced relative phylogenetic diversity (bRPD) was calculated by adding branch lengths between each leaf and root node in the tree followed by proportional downweighting of internal branches 6 .
Figure 1 GEBA-I strain phylogeny and distribution. ( a ) Maximum likelihood tree based on concatenated alignment of 56 conserved protein markers from representative genomes from all cultivated phyla. Phyla containing a GEBA-I genome are colored red, while all other phyla are colored gray. Pie charts represent the fraction of genera contributed by GEBA-I genomes (red) to the total number of genera per phylum (blue). The number of new genera added by GEBA-I per phylum is displayed next to the pie charts. Bootstrap support values ≥ 50% are shown with small circles on nodes with robust phylogenetic support. ( b ) Overall increase in 16S rRNA gene diversity relative to all the type strains. Blue denotes the genetic diversity covered by 828 genomes of type strains before GEBA-I, red denotes the diversity covered by the GEBA-I genomes and gray denotes the remaining type strains lacking a genome sequence. Balanced relative phylogenetic diversity (bRPD) was calculated by adding branch lengths between each leaf and root node in the tree followed by proportional downweighting of internal branches 6 .CC-BY · From the PDF
Image 2
CC-BY · From the PDF
Figure 2 Protein clusters identified using GEBA-I genomes. ( a ) Change in growth rate of protein families identified per 1,000 genomes over the years and increase in number of new protein families over time, as new genomes were sequenced and added to public databases (inset). ( b ) Relationship between number of genes in protein clusters and singletons and the minimum 16S rRNA distance of each GEBA-I genome to its closest non-GEBA relative. Outliers, defined as points beyond 90% of the data with the smallest absolute residuals with a linear model, are depicted as red open circles. ( c ) Maximum 16S rRNA distance of genomes contributing a GEBA-I-only protein cluster. Each data point represents a single GEBA-I-only protein cluster and is colored by the cluster type, x axis is the total number of genes in each cluster, and y axis is the maximum 16S distance of genomes contributing to that cluster.
Figure 2 Protein clusters identified using GEBA-I genomes. ( a ) Change in growth rate of protein families identified per 1,000 genomes over the years and increase in number of new protein families over time, as new genomes were sequenced and added to public databases (inset). ( b ) Relationship between number of genes in protein clusters and singletons and the minimum 16S rRNA distance of each GEBA-I genome to its closest non-GEBA relative. Outliers, defined as points beyond 90% of the data with the smallest absolute residuals with a linear model, are depicted as red open circles. ( c ) Maximum 16S rRNA distance of genomes contributing a GEBA-I-only protein cluster. Each data point represents a single GEBA-I-only protein cluster and is colored by the cluster type, x axis is the total number of genes in each cluster, and y axis is the maximum 16S distance of genomes contributing to that cluster.CC-BY · From the PDF
Figure 3 Distribution of biosynthetic clusters (BCs) in GEBA-I genomes. ( a ) Maximum likelihood phylogenetic tree using 56 conserved single-copy genes with horizontal bars representing the percentage of genome encoding biosynthetic gene clusters. Blue stars highlight GEBA-I genomes with the greatest percentage of BCs per genome. The red star indicates the phylogenetic placement of Photobacterium halotolerans DSM 18316 described in b and c . ( b ) Liquid chromatography-mass spectrometry (LC/MS) chromatogram from a crude extract of P. halotolerans DSM 18316 with labeled phenazine peaks. ( c ) Phenazine operon in P. halotolerans DSM 18316 compared to those from Pseudomonas fluorescens 2-79 and Pantoea agglomerans Eh1087.
Figure 3 Distribution of biosynthetic clusters (BCs) in GEBA-I genomes. ( a ) Maximum likelihood phylogenetic tree using 56 conserved single-copy genes with horizontal bars representing the percentage of genome encoding biosynthetic gene clusters. Blue stars highlight GEBA-I genomes with the greatest percentage of BCs per genome. The red star indicates the phylogenetic placement of Photobacterium halotolerans DSM 18316 described in b and c . ( b ) Liquid chromatography-mass spectrometry (LC/MS) chromatogram from a crude extract of P. halotolerans DSM 18316 with labeled phenazine peaks. ( c ) Phenazine operon in P. halotolerans DSM 18316 compared to those from Pseudomonas fluorescens 2-79 and Pantoea agglomerans Eh1087.CC-BY · From the PDF
Figure 4 Recruitment of metagenomic sequences by GEBA-I genomes. ( a ) Overview of metagenomic protein sequence recruitment by individual GEBA-I genomes. Phylogenetic analyses of whole genome sequences were conducted using the high-throughput version of the Genome-Blast Distance Phylogeny approach. Internal branch support above 60% is colored in a range from red (60%) to green (100%) The colored dots decorating the terminus of every tree branch indicates the isolation source habitat for the given GEBA-I genome. The outermost circle bearing a black bar chart denotes the total number of metagenomic sequences with protein blast hits to that GEBA-I genome ( Supplementary Fig. 7 and Supplementary Table 4 ). The habitat distribution for these hits is given in the colored concentric circles that follow. The intensity of color is weighted by fraction of total hits to a habitat. ( b ) Protein recruitment plot showing amino acid percent identity ( y axis) of top hits of Desulfomicrobium baculatum DSM 4028 CDS against metagenomic sample from biofilm of a corroded oil pipeline (IMG taxon_oid: 3300002702). CDS are ordered on the x axis by position on one contiguous scaffold available for this genome. ( c ) Protein recruitment plot showing percent identity ( y axis) of Rudaea cellulosilytica DSM 22992 CDS top protein blast hits against metagenomic sample from corn rhizoplane (IMG taxon_oid: 3300001904). For contrast, top hits against two other rhizosphere samples are included (switchgrass (IMG taxon_oid: 3300002128), and Miscanthus (IMG taxon_oid: 3300001991). CDS are ordered on the x axis by position on six discrete scaffolds (which are themselves ordered by descending sequence length) available for this genome.
Figure 4 Recruitment of metagenomic sequences by GEBA-I genomes. ( a ) Overview of metagenomic protein sequence recruitment by individual GEBA-I genomes. Phylogenetic analyses of whole genome sequences were conducted using the high-throughput version of the Genome-Blast Distance Phylogeny approach. Internal branch support above 60% is colored in a range from red (60%) to green (100%) The colored dots decorating the terminus of every tree branch indicates the isolation source habitat for the given GEBA-I genome. The outermost circle bearing a black bar chart denotes the total number of metagenomic sequences with protein blast hits to that GEBA-I genome ( Supplementary Fig. 7 and Supplementary Table 4 ). The habitat distribution for these hits is given in the colored concentric circles that follow. The intensity of color is weighted by fraction of total hits to a habitat. ( b ) Protein recruitment plot showing amino acid percent identity ( y axis) of top hits of Desulfomicrobium baculatum DSM 4028 CDS against metagenomic sample from biofilm of a corroded oil pipeline (IMG taxon_oid: 3300002702). CDS are ordered on the x axis by position on one contiguous scaffold available for this genome. ( c ) Protein recruitment plot showing percent identity ( y axis) of Rudaea cellulosilytica DSM 22992 CDS top protein blast hits against metagenomic sample from corn rhizoplane (IMG taxon_oid: 3300001904). For contrast, top hits against two other rhizosphere samples are included (switchgrass (IMG taxon_oid: 3300002128), and Miscanthus (IMG taxon_oid: 3300001991). CDS are ordered on the x axis by position on six discrete scaffolds (which are themselves ordered by descending sequence length) available for this genome.CC-BY · From the PDF

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Research works printed but not linked: 70

  1. Mukherjee, S. et al. Genomes OnLine Database (GOLD) v.6: data updates and feature enhancements. Nucleic Acids Res. 45, D446–D456 (2017). · DOI
  2. Kunin, V., Cases, I., Enright, A.J., de Lorenzo, V. & Ouzounis, C.A. Myriads of protein families, and still counting. Genome Biol. 4, 401 (2003). · DOI
  3. Wu, D. et al. A phylogeny-driven genomic encyclopaedia of Bacteria and Archaea. Nature 462, 1056–1060 (2009). · DOI
  4. Kyrpides, N.C. Fifteen years of microbial genomics: meeting the challenges and fulfilling the dream. Nat. Biotechnol. 27, 627–632 (2009). · DOI
  5. Rinke, C. et al. Insights into the phylogeny and coding potential of microbial dark matter. Nature 499, 431–437 (2013). · DOI · Paper page
  6. Göker, M. & Klenk, H.-P. Phylogeny-driven target selection for large-scale genome-sequencing (and other) projects. Stand. Genomic Sci. 8, 360–374 (2013). · DOI
  7. Varghese, N.J. et al. Microbial species delineation using whole genome sequences. Nucleic Acids Res. 43, 6761–6771 (2015). · DOI
  8. Baltrus, D.A. Divorcing Strain Classification from Species Names. Trends Microbiol. 24, 431–439 (2016). · DOI
  9. Klenk, H.-P. & Göker, M. En route to a genome-based classification of Archaea and Bacteria? Syst. Appl. Microbiol. 33, 175–182 (2010). · DOI
  10. Parker, C.T., Tindall, B.J. & Garrity, G.M. International Code of Nomenclature of Prokaryotes. Int. J. Syst. Evol. Microbiol. http://dx.doi.org/10.1099/ijsem.0.000778 (2015). · DOI
  11. Garrity, G.M. A genomics driven taxonomy of Bacteria and Archaea: are we there, yet? J. Clin. Microbiol. 54, 1956–1963 (2016). · DOI
  12. Kyrpides, N.C. et al. Genomic encyclopedia of bacteria and archaea: sequencing a myriad of type strains. PLoS Biol. 12, e1001920 (2014). · DOI
  13. Kyrpides, N.C. et al. Genomic Encyclopedia of Type Strains, Phase I: the one thousand microbial genomes (KMG-I) project. Stand. Genomic Sci. 9, 1278–1284 (2013). · DOI
  14. Parks, D.H., Imelfort, M., Skennerton, C.T., Hugenholtz, P. & Tyson, G.W. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 25, 1043–1055 (2015). · DOI · Paper page
  15. Chen, I.-M.A. et al. IMG/M: integrated genome and metagenome comparative data analysis system. Nucleic Acids Res. 45, D507–D516 (2017). · DOI
  16. Chang, Y.-J. et al. Non-contiguous finished genome sequence and contextual data of the filamentous soil bacterium Ktedonobacter racemifer type strain (SOSP1-21). Stand. Genomic Sci. 5, 97–111 (2011). · DOI
  17. Roth, A. et al. Novel diagnostic algorithm for identification of mycobacteria using genus-specific amplification of the 16S-23S rRNA gene spacer and restriction endonucleases. J. Clin. Microbiol. 38, 1094–1104 (2000). · DOI
  18. Tortoli, E. Impact of genotypic studies on mycobacterial taxonomy: the new mycobacteria of the 1990s. Clin. Microbiol. Rev. 16, 319–354 (2003). · DOI
  19. Taylor, B.L. & Zhulin, I.B. PAS domains: internal sensors of oxygen, redox potential, and light. Microbiol. Mol. Biol. Rev. 63, 479–506 (1999). · DOI · Paper page
  20. Abt, B. et al. Complete genome sequence of the termite hindgut bacterium Spirochaeta coccoides type strain (SPN1(T)), reclassification in the genus Sphaerochaeta as Sphaerochaeta coccoides comb. nov. and emendations of the family Spirochaetaceae and the genus Sphaerochaeta. Stand. Genomic Sci. 6, 194–209 (2012). · DOI
  21. Cipollone, R., Ascenzi, P. & Visca, P. Common themes and variations in the rhodanese superfamily. IUBMB Life 59, 51–59 (2007). · DOI
  22. Galtier, N. & Daubin, V. Dealing with incongruence in phylogenomic analyses. Phil. Trans. R. Soc. Lond. B 363, 4023–4029 (2008). · DOI
  23. Hadjithomas, M. et al. IMG-ABC: a knowledge base to fuel discovery of biosynthetic gene clusters and novel secondary metabolites. MBio 6, e00932 (2015). · DOI
  24. van Wezel, G.P. & McDowall, K.J. The regulation of the secondary metabolism of Streptomyces: new links and experimental advances. Nat. Prod. Rep. 28, 1311–1333 (2011). · DOI
  25. Cimermancic, P. et al. Insights into secondary metabolism from a global analysis of prokaryotic biosynthetic gene clusters. Cell 158, 412–421 (2014). · DOI
  26. Bérdy, J. Bioactive microbial metabolites. J. Antibiot. (Tokyo) 58, 1–26 (2005). · DOI · Paper page
  27. Giddens, S.R., Feng, Y. & Mahanty, H.K. Characterization of a novel phenazine antibiotic gene cluster in Erwinia herbicola Eh1087. Mol. Microbiol. 45, 769–783 (2002). · DOI
  28. Imamura, N. et al. New anticancer antibiotics pelagiomicins, produced by a new marine bacterium Pelagiobacter variabilis. J. Antibiot. (Tokyo) 50, 8–12 (1997). · DOI
  29. Kim, M.K. et al. Solirubrobacter soli sp. nov., isolated from soil of a ginseng field. Int. J. Syst. Evol. Microbiol. 57, 1453–1455 (2007). · DOI
  30. Weon, H.-Y. et al. Rudaea cellulosilytica gen. nov., sp. nov., isolated from soil. Int. J. Syst. Evol. Microbiol. 59, 2308–2312 (2009). · DOI
  31. An, D. et al. Metagenomic analysis indicates epsilonproteobacteria as a potential cause of microbial corrosion in pipelines injected with bisulfite. Front. Microbiol. 7, 28 (2016). · DOI
  32. Deng, Z.S. et al. Diversity of endophytic bacteria within nodules of the Sphaerophysa salsula in different regions of Loess Plateau in China. FEMS Microbiol. Ecol. 76, 463–475 (2011). · DOI
  33. Zakhia, F. et al. Diverse bacteria associated with root nodules of spontaneous legumes in Tunisia and first report for nifH-like gene within the genera Microbacterium and Starkeya. Microb. Ecol. 51, 375–393 (2006). · DOI
  34. Dong, Y., Iniguez, A.L., Ahmer, B.M.M. & Triplett, E.W. Kinetics and strain specificity of rhizosphere and endophytic colonization by enteric bacteria on seedlings of Medicago sativa and Medicago truncatula. Appl. Environ. Microbiol. 69, 1783–1790 (2003). · DOI
  35. Schikora, A. et al. Conservation of Salmonella infection mechanisms in plants and animals. PLoS One 6, e24112 (2011). · DOI
  36. Han, C. et al. Complete genome sequence of Treponema succinifaciens type strain (6091). Stand. Genomic Sci. 4, 361–370 (2011). · DOI
  37. Delmont, T.O. et al. Reconstructing rare soil microbial genomes using in situ enrichments and metagenomics. Front. Microbiol. 6, 358 (2015).
  38. Mavromatis, K. et al. Complete genome sequence of Coraliomargarita akajimensis type strain (04OKA010-24). Stand. Genomic Sci. 2, 290–299 (2010). · DOI
  39. Satinsky, B.M. et al. The Amazon continuum dataset: quantitative metagenomic and metatranscriptomic inventories of the Amazon River plume, June 2010. Microbiome 2, 17 (2014). · DOI
  40. Pati, A. et al. Complete genome sequence of Sphaerobacter thermophilus type strain (S 6022). Stand. Genomic Sci. 2, 49–56 (2010). · DOI
  41. D'haeseleer, P. et al. Proteogenomic analysis of a thermophilic bacterial consortium adapted to deconstruct switchgrass. PLoS One 8, e68465 (2013). · DOI
  42. Paez-Espino, D. et al. Uncovering Earth's virome. Nature 536, 425–430 (2016). · DOI
  43. Yooseph, S. et al. The Sorcerer II Global Ocean Sampling expedition: expanding the universe of protein families. PLoS Biol. 5, e16 (2007). · DOI
  44. Rusch, D.B. et al. The Sorcerer II Global Ocean Sampling expedition: northwest Atlantic through eastern tropical Pacific. PLoS Biol. 5, e77 (2007). · DOI
  45. Sunagawa, S. et al. Ocean plankton. Structure and function of the global ocean microbiome. Science 348, 1261359 (2015). · DOI
  46. Hug, L.A. et al. A new view of the tree of life. Nat. Microbiol. 1, 16048 (2016). · DOI · Paper page
  47. Anantharaman, K. et al. Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system. Nat. Commun. 7, 13219 (2016). · DOI
  48. Guo, C.-J. et al. Discovery of reactive microbiota-derived metabolites that inhibit host proteases. Cell 168, 517–526.e18 (2017). · DOI
  49. Li, L.-L., McCorkle, S.R., Monchy, S., Taghavi, S. & van der Lelie, D. Bioprospecting metagenomes: glycosyl hydrolases for converting biomass. Biotechnol. Biofuels 2, 10 (2009). · DOI
  50. Voget, S., Steele, H.L. & Streit, W.R. Characterization of a metagenome-derived halotolerant cellulase. J. Biotechnol. 126, 26–36 (2006). · DOI
  51. Anton, B.P., Kasif, S., Roberts, R.J. & Steffen, M. Objective: biochemical function. Front. Genet. 5, 210 (2014). · DOI
  52. Yarza, P. et al. The All-Species Living Tree project: a 16S rRNA-based phylogenetic tree of all sequenced type strains. Syst. Appl. Microbiol. 31, 241–250 (2008). · DOI
  53. Mavromatis, K. et al. The fast changing landscape of sequencing technologies and their impact on microbial genome assemblies and annotation. PLoS One 7, e48837 (2012). · DOI
  54. Zerbino, D.R. & Birney, E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18, 821–829 (2008). · DOI
  55. Butler, J. et al. ALLPATHS: de novo assembly of whole-genome shotgun microreads. Genome Res. 18, 810–820 (2008). · DOI
  56. Huntemann, M. et al. The standard operating procedure of the DOE-JGI Metagenome Annotation Pipeline (MAP v.4). Stand. Genomic Sci. 11, 17 (2016). · DOI
  57. Tripp, H.J. et al. Toward a standard in structural genome annotation for prokaryotes. Stand. Genomic Sci. 10, 45 (2015). · DOI
  58. Hyatt, D. et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11, 119 (2010). · DOI
  59. Pati, A. et al. GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes. Nat. Methods 7, 455–457 (2010). · DOI
  60. Eloe-Fadrosh, E.A. et al. Global metagenomic survey reveals a new bacterial candidate phylum in geothermal springs. Nat. Commun. 7, 10476 (2016). · DOI
  61. Mistry, J., Finn, R.D., Eddy, S.R., Bateman, A. & Punta, M. Challenges in homology search: HMMER3 and convergent evolution of coiled-coil regions. Nucleic Acids Res. 41, e121 (2013). · DOI
  62. Darling, A.E. et al. PhyloSift: phylogenetic analysis of genomes and metagenomes. PeerJ 2, e243 (2014). · DOI
  63. Letunic, I. & Bork, P. Interactive Tree Of Life v2: online annotation and display of phylogenetic trees made easy. Nucleic Acids Res. 39, W475 (2011). · DOI
  64. Huntemann, M. et al. The standard operating procedure of the DOE-JGI Microbial Genome Annotation Pipeline (MGAP v.4). Stand. Genomic Sci. 10, 86 (2015). · DOI
  65. Hauser, M., Mayer, C.E. & Söding, J. kClust: fast and sensitive clustering of large protein sequence databases. BMC Bioinformatics 14, 248 (2013). · DOI
  66. Weber, T. et al. antiSMASH 3.0-a comprehensive resource for the genome mining of biosynthetic gene clusters. Nucleic Acids Res. 43, W237 (2015). · DOI
  67. Kiełbasa, S.M., Wan, R., Sato, K., Horton, P. & Frith, M.C. Adaptive seeds tame genomic sequence comparison. Genome Res. 21, 487–493 (2011). · DOI
  68. Meier-Kolthoff, J.P., Auch, A.F., Klenk, H.-P. & Göker, M. Highly parallelized inference of large genome-based phylogenies. Concurr. Comput. Pract. Exp. 26, 1715–1729 (2014). · DOI
  69. Auch, A.F., Henz, S.R., Holland, B.R. & Göker, M. Genome BLAST distance phylogenies inferred from whole plastid and whole mitochondrion genome sequences. BMC Bioinformatics 7, 350 (2006). · DOI
  70. Lefort, V., Desper, R. & Gascuel, O. FastME 2.0: a comprehensive, accurate, and fast distance-based phylogeny inference program. Mol. Biol. Evol. 32, 2798–2800 (2015). · DOI

Cited by

Sorted by citations

See all 267

Metadata

Authors
Mukherjee, S., Seshadri, R., Varghese, N. J., Eloe-Fadrosh, E. A., Meier-Kolthoff, J. P., Göker, M., Coates, R. C., Hadjithomas, M., Pavlopoulos, G. A., Paez-Espino, D., Yoshikuni, Y., Visel, A., Whitman, W. B., Garrity, G. M., Eisen, J. A., Hugenholtz, P., Pati, A., Ivanova, N. N., Woyke, T., Klenk, H.-P., & Kyrpides, N. C.
Venue
Nature Biotechnology
Published
2017-06-12
Volume
35
Issue
7
Pages
676-683
ISSN
  • 1087-0156
  • 1546-1696
Cited by
267
References
2
Language
en
Update notices
erratum (2018-04-01)

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