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Record W2109636763 · doi:10.1126/science.1197761

The Ecoresponsive Genome of <i>Daphnia pulex</i>

2011· article· en· W2109636763 on OpenAlexaff
John K. Colbourne, Michael E. Pfrender, Donald Gilbert, W. Kelley Thomas, Abraham E. Tucker, Todd H. Oakley, Shin‐ichi Tokishita, Andrea Aerts, Georg J. Arnold, Malay Kumar Basu, Darren J. Bauer, Carla E. Cáceres, Liran Carmel, Claudio Casola, Jeong-Hyeon Choi, John C. Detter, Qunfeng Dong, Serge Dusheyko, Brian D. Eads, Thomas Fröhlich, Kerry Geiler‐Samerotte, Daniel Gerlach, Phil Hatcher, Sanjuro Jogdeo, Jeroen Krijgsveld, Evgenia V. Kriventseva, Dietmar Kültz, Christian Laforsch, Erika Lindquist, Jacqueline Lopez, J. Robert Manak, Jean Muller, Jasmyn Pangilinan, Rupali P Patwardhan, Samuel Pitluck, Ellen J. Pritham, Andreas Rechtsteiner, Mina Rho, Igor B. Rogozin, Onur Sakarya, Asaf Salamov, Sarah Schaack, Harris Shapiro, Yasuhiro Shiga, Courtney Skalitzky, Zachary D. Smith, Alexander Souvorov, Way Sung, Zuojian Tang, Dai Tsuchiya, Hank Tu, Harmjan R. Vos, Mei Wang, Yuri I. Wolf, Hideo Yamagata, Takuji Yamada, Yuzhen Ye, Joseph R. Shaw, Justen Andrews, Teresa J. Crease, Haixu Tang, Susan Lucas, Hugh M. Robertson, Peer Bork, Eugene V. Koonin, Evgeny M. Zdobnov, Igor V. Grigoriev, Michael Lynch, Jeffrey L. Boore

Bibliographic record

VenueScience · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEvolution and Genetic Dynamics
Canadian institutionsUniversity of Guelph
FundersNational Institute of Environmental Health SciencesNational Institute of General Medical SciencesNational Institutes of Health
KeywordsDaphnia pulexDaphniaGenomeBiologyGeneAdaptation (eye)GeneticsMultitudeEvolutionary biologyComputational biologyZoologyCrustacean

Abstract

fetched live from OpenAlex

We describe the draft genome of the microcrustacean Daphnia pulex, which is only 200 megabases and contains at least 30,907 genes. The high gene count is a consequence of an elevated rate of gene duplication resulting in tandem gene clusters. More than a third of Daphnia's genes have no detectable homologs in any other available proteome, and the most amplified gene families are specific to the Daphnia lineage. The coexpansion of gene families interacting within metabolic pathways suggests that the maintenance of duplicated genes is not random, and the analysis of gene expression under different environmental conditions reveals that numerous paralogs acquire divergent expression patterns soon after duplication. Daphnia-specific genes, including many additional loci within sequenced regions that are otherwise devoid of annotations, are the most responsive genes to ecological challenges.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1,235
Published2011
Admission routes1
Has abstractyes

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