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Record W2659571351 · doi:10.1093/femsle/fnx135

Phylogenetic diversification and developmental implications of poly-(R)-3-hydroxyalkanoate gene cluster assembly in prokaryotes

2017· article· en· W2659571351 on OpenAlexfundno aff
Gurusamy Kutralam-Muniasamy, Juan Corona-Hernández, Ravi-Kumar Narayanasamy, Rodolfo Marsch, Fermín Pérez‐Guevara

Bibliographic record

VenueFEMS Microbiology Letters · 2017
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsnot available
FundersPublic Health Agency of Canada
KeywordsPhylogenetic treeGene clusterGeneBiologyOperonPolyhydroxyalkanoatesGenomeGeneticsPhylogeneticsComputational biologyEvolutionary biologyBacteriaEscherichia coli

Abstract

fetched live from OpenAlex

Many polyhydroxyalkanoates (PHAs) system genes, such as phaC, phaA, phaB, phaR, phaP and phaZ, are often found to be organised in the form of operon-like clusters. In this study, a genome survey was performed to identify such clustered PHA systems among 256 prokaryotic organisms. These data were then used to generate a comprehensive 16S rRNA species tree depicting the phylogenetic distribution of the observed clusters with diverse gene arrangements. In addition, the gene occurrences and physical linkages between PHA system genes were quantitatively estimated. From this, we identified a centrally connected hub gene, i.e. the phaC gene of PHA. Furthermore, a comparative investigation was performed between the clusters of PHA and glycogen, which decoded the role of the hub gene in the cluster organisation of both systems. Together, these findings suggest that the highly connected hub gene might contribute substantively towards the organisation and maintenance of the gene network connectivity in the clusters, particularly in the storage reserve systems.

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 score0.147
Threshold uncertainty score0.395

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 head0.023
GPT teacher head0.224
Teacher spread0.201 · 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

Citations16
Published2017
Admission routes1
Has abstractyes

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