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Record W3169254006 · doi:10.21608/mjab.2016.176594

FUNCTIONAL AND MOLECULAR CHARACTERIZATION OF THE LPDA2 GENE IN SINORHIZOBIUM MELILOTI

2016· article· en· W3169254006 on OpenAlexfundno aff
Rateb Abbas, Noha M. Sorour

Bibliographic record

VenueMenoufia Journal of Agricultural Biotechnology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical Acid Research Studies
Canadian institutionsnot available
FundersMcGill University
KeywordsSinorhizobium melilotiCharacterization (materials science)GeneSinorhizobiumBiologyComputational biologyGeneticsRhizobiaceaeSymbiosisBacteriaNanotechnologyMaterials science

Abstract

fetched live from OpenAlex

Escherichia coli and many microorganisms, have a single gene encoding dihydrolipoamide dehydrogenase, which can function as the E3 subunit dihydrolipoamide (LpdA) component of different multi-enzyme dehydrogenase complexes. In contrast, Sinorhizobium meliloti genome encodes three lpdA alleles, each of the lpdA alleles are predicted to function in a different enzyme complex. The lpdA1 encode the E3 component of pyruvate dehydrogenase (PDH); while the lpdA2 is presumed to encode the E3 component of 2-Oxoglutarate dehydrogenase (OGD) and lpdA3, probable the E3 component of a branched-chain alpha-ketoacid dehydrogenase (BKD). To date, no functional characterization of the lpdA2 and lpdA3 genes has been done in S. meliloti. Analysis of the LpdA amino acid sequences revealed conserved functional domains, suggesting that the S. meliloti lpdA2 allele encode functional protein, which may be specific to the complex of E3 subunit of OGD. To test this hypothesis, insertion mutation was isolated for the lpdA2 allele. Internal fragment of lpdA2 allele was cloned into the plasmid pTH1703 and recombined into the S. meliloti genome by single cross-over which yielded lpdA2 mutant. Results obtained revealed that the LpdA2 mutated strain had greatly diminished OGD activity and wild-type levels of PDH and BKD.

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 score0.123
Threshold uncertainty score0.184

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 head0.005
GPT teacher head0.193
Teacher spread0.188 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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