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Record W2137516483 · doi:10.1371/journal.pbio.1001920

Genomic Encyclopedia of Bacteria and Archaea: Sequencing a Myriad of Type Strains

2014· article· en· W2137516483 on OpenAlexaff
Nikos C. Kyrpides, Philip Hugenholtz, Jonathan A. Eisen, Tanja Woyke, Markus Göker, Charles Thomas Parker, Rudolf Amann, Brian J. Beck, Patrick Chain, Jongsik Chun, Rita R. Colwell, Antoine Danchin, Peter Dawyndt, Tom Dedeurwaerdere, Edward F. DeLong, John C. Detter, Paul de Vos, Timothy J. Donohue, Xiu-Zhu Dong, Dusko S. Ehrlich, Claire M. Fraser, Richard A. Gibbs, Jack A. Gilbert, Paul Gilna, Frank Oliver Glöckner, Janet Jansson, Jay D. Keasling, Rob Knight, David P. Labeda, Alla Lapidus, Jung-Sook Lee, Wen‐Jun Li, Juncai Ma, Victor Markowitz, Edward R. B. Moore, Mark Morrison, Folker Meyer, Moriya Ohkuma, Christos Ouzounis, Norman R. Pace, Julian Parkhill, Nan Qin, Ramon Rosselló‐Móra, Johannes Sikorski, David Smith, Mitch Sogin, Rick Stevens, Ken-ichiro Suzuki, Dorothea Taylor, J.M. Tiedje, Brian J. Tindall, Michael Wagner, George M. Weinstock, Jean Weissenbach, Owen White, Jun Wang, Lixin Zhang, Yu-Guang Zhou, Dawn Field, William B. Whitman, George M Garrity, Hans-Peter Klenk

Bibliographic record

VenuePLoS Biology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversity of Toronto
FundersNatural Environment Research CouncilOffice of ScienceAgence Nationale de la RechercheU.S. Department of Energy
KeywordsBiologyArchaeaGeneticsGenetic diversityGenomeEvolutionary biologyDiversity (politics)MetagenomicsFunction (biology)GeneGenomicsEncyclopediaHorizontal gene transferBacteriaComputational biologyLibrary sciencePopulation

Abstract

fetched live from OpenAlex

Microbes hold the key to life. They hold the secrets to our past (as the descendants of the earliest forms of life) and the prospects for our future (as we mine their genes for solutions to some of the planet's most pressing problems, from global warming to antibiotic resistance). However, the piecemeal approach that has defined efforts to study microbial genetic diversity for over 20 years and in over 30,000 genome projects risks squandering that promise. These efforts have covered less than 20% of the diversity of the cultured archaeal and bacterial species, which represent just 15% of the overall known prokaryotic diversity. Here we call for the funding of a systematic effort to produce a comprehensive genomic catalog of all cultured Bacteria and Archaea by sequencing, where available, the type strain of each species with a validly published name (currently∼11,000). This effort will provide an unprecedented level of coverage of our planet's genetic diversity, allow for the large-scale discovery of novel genes and functions, and lead to an improved understanding of microbial evolution and function in the environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.230
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations234
Published2014
Admission routes1
Has abstractyes

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