Integrative Transcriptomic and Metabolomic Analyses of Time-of-Day Variation of Quality-Related Metabolites in Fresh Tea Leaves.

Liangjie Niu, Chunhui Wang, Jiayin Xie, Lin Cheng, Qiying Zhou, Wei Wang

Abstract read

In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Liangjie NiuDabie Mountain Laboratory, Henan Key Laboratory of Tea Plant Biology, Henan International Joint Laboratory of Tea-Oil Tree Biology and High-Value Utilization, College of Tea and Food Science, Xinyang Normal University, Xinyang 464000, China.ORCID 0000-0002-7460-5489

Chunhui WangCollege of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China.

Jiayin XieDabie Mountain Laboratory, Henan Key Laboratory of Tea Plant Biology, Henan International Joint Laboratory of Tea-Oil Tree Biology and High-Value Utilization, College of Tea and Food Science, Xinyang Normal University, Xinyang 464000, China.

Lin ChengDabie Mountain Laboratory, Henan Key Laboratory of Tea Plant Biology, Henan International Joint Laboratory of Tea-Oil Tree Biology and High-Value Utilization, College of Tea and Food Science, Xinyang Normal University, Xinyang 464000, China.

Qiying ZhouDabie Mountain Laboratory, Henan Key Laboratory of Tea Plant Biology, Henan International Joint Laboratory of Tea-Oil Tree Biology and High-Value Utilization, College of Tea and Food Science, Xinyang Normal University, Xinyang 464000, China.

Wei WangCollege of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China.ORCID 0000-0002-3711-5181

Funding

Key Research Projects of Higher Education Institutions of Henan Provincial Department of Education, China 26A210024Scientific and Technological Research Projects of Henan Province, China 262102110108

6 · The paper itself

Abstract

Green tea quality is largely determined by the metabolite profile of fresh leaves. However, the time-of-day-dependent dynamics of these metabolites remain largely unknown in Xinyang Maojian (XYMJ), a premium Chinese green tea. In this study, we performed the first integrative transcriptomic and metabolomic analysis of

Indexed as

leaf qualitymetabolic dynamicsmulti-omicssecondary metabolitestea planttime-of-day-dependent changes

Identifiers

PMID42739325

DOI10.3390/plants15172558

PMCPMC13567031

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.