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Record W4407766996 · doi:10.1093/plphys/kiaf077

The parsley genome assembly and DNA methylome shed light on apigenin biosynthesis in the Apiaceae

2025· article· en· W4407766996 on OpenAlexaff
Hui Liu, Jiaqi Zhang, Ya-Hui Wang, Zhi‐Sheng Xu, Qinzheng Zhao, Jian Zhang, Jia‐Yu Xue, Ai‐Sheng Xiong

Bibliographic record

VenuePLANT PHYSIOLOGY · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsUniversity of British ColumbiaOkanagan University CollegeUniversity of British Columbia, Okanagan Campus
FundersChina Postdoctoral Science Foundation
KeywordsApiaceaeApigeninGenomeBiologyDNA methylationDNABiosynthesisSequence assemblyBotanyGeneticsGeneBiochemistryFlavonoidTranscriptomeGene expression

Abstract

fetched live from OpenAlex

Parsley [Petroselinum crispum (Mill.)] is a medicinal and edible vegetable of the Apiaceae family that is rich in apigenin. The Apiaceae family is well known for its diverse secondary metabolites. As a high-quality reference genome is lacking for parsley, the evolution and apigenin biosynthesis in Apiaceae have remained unexplored. Here, we report the chromosome-level genome sequence of parsley, consisting of 1.85 Gb that mainly arose from the expansion of long terminal repeats. Whole-genome bisulfite sequencing revealed a significantly higher number of hypermethylated differentially expressed genes in leaf blades and petioles than in root tissues. Moreover, we identified and characterized chalcone isomerase (CHI) genes, encoding key enzymes involved in apigenin biosynthesis in parsley. We also established that the APETALA2 family transcription factor Pcrispum_6.2855 (PcAP2) binds to the (Pcrispum_11.4764) PcCHI promoter and promotes apigenin accumulation. In conclusion, our work presents a multiomics data resource for understanding apigenin biosynthesis and its transcriptional regulation in parsley, in addition to shedding light on the evolution of parsley within the Apiaceae.

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 score0.088
Threshold uncertainty score0.532

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 science0.0010.000
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 head0.007
GPT teacher head0.220
Teacher spread0.212 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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