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Record W4315852275 · doi:10.5376/ijh.2022.12.0006

Gene Identification, Evolution and Expression of MDS Family Genes in Mango (<i>Mangifera indica</i>)

2022· article· en· W4315852275 on OpenAlexvenueno aff
Jiangtao Gai, Peng Wang, Xiuxu Ye, Ruixiong Luo, Yeyuan Chen

Bibliographic record

VenueInternational Journal of Horticulture · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsnot available
Fundersnot available
KeywordsGeneGene familyMangiferaBiologyPhylogenetic treeGenomeGeneticsProtein familyBotany

Abstract

fetched live from OpenAlex

2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase (MDS) is a key enzyme involved in the 2- C -methyl- D -erythritol-4-phosphate (MEP) pathway. In order to identify the MDS family genes in mango, study the evolution and expression patterns of MDS family genes. In this study, 16 MDS family genes were downloaded from 13 plant genomes by homologous search method and carried out the protein domains, phylogeny and the expression analysis of MDS family genes in mango. The results of protein domain analysis showed that PF02542.16 domain in the protein sequences of mango MDS family genes respectively. The construction of phylogenetic tree found that the MDS family genes in mango evolved after the formation of dicotyledon, and are most closely to the  MDS  gene in  Citrus sinensis . The expression analysis showed that the MDS family genes of mango had the highest expression in the flesh of 'Guifei' at the ripe stage, the second is ' Tainong ', with the lowest expression in 'Jinhuang', and the difference is significant. This research provided a scientific basis for the further analysis of function of mango  MDS  family genes in terpenoid synthesis pathway.

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 score0.049
Threshold uncertainty score0.356

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 head0.220
Teacher spread0.215 · 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
Published2022
Admission routes1
Has abstractyes

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