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Record W1938922846 · doi:10.1139/gen-2012-0064

Phylogenetic relationships and selective pressure on gene families related to iron homeostasis in land plants

2012· article· en· W1938922846 on OpenAlexvenueno aff
Filipe de Carvalho Victória, Clauber Mateus Priebe Bervald, Rogério Oliveira de Sousa, Olivier Panaud, Antônio Costa de Oliveira

Bibliographic record

VenueGenome · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Micronutrient Interactions and Effects
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsBiologyGeneGeneticsArabidopsis thalianaPhylogeneticsPhylogenetic treeGene familyFunctional divergenceArabidopsisPlant evolutionGenome

Abstract

fetched live from OpenAlex

Iron is involved in many metabolic processes, such as respiration and photosynthesis, and therefore an essential element for plant development. Comparative analysis of gene copies between crops and lower plant groups can shed light on the evolution of genes important to iron homeostasis. A phylogenetic analysis of five metal homeostasis gene families (NAS, NRAMP, YSL, FRO, and IRT) selected in monocots, dicots, gymnosperms, and bryophytes was performed. The homologous genes were found using known iron homeostasis gene sequences of Oryza sativa, Arabidopsis thaliana, and Physcomitrella patens as queries. The phylogeny was constructed using bioinfomatics tools. A total of 243 gene sequences for 30 plant species were found. The evolutionary fingerprint analysis suggested a purifying selective pressure of iron homeostasis genes for most of the plant gene homologues. The NAS and YSL genes appear to accumulate more negative selection sites, suggesting a strong selective pressure on these two gene families. The divergence time analysis indicates IRT as the most ancient gene family and FRO as the most recent. NRAMP and YSL genes appear to share a close relationship in the evolution of iron homeostasis gene families.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.152

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 head0.212
Teacher spread0.194 · 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 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

Citations36
Published2012
Admission routes1
Has abstractyes

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