Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
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
1 citing paper in PubMed, 5 citations in OpenAlex.
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
8 authors at 2 institutions in 1 country.
Zhuoliang LangCollege of Tea Science and Tea Culture, Zhejiang A&F University, Hangzhou 311300, China.
Zelong XuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou 311300, China.
Linying LiState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou 311300, China.
Yuqing HeState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0002-7633-9188
Yao ZhaoState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0002-4930-4422
Chi ZhangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0002-5498-1874
Gaojie HongCollege of Tea Science and Tea Culture, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0002-5254-5358
Xueying ZhangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou 311300, China.
ZheJiang Academy of Agricultural Sciences · CNZhejiang A & F University · CN
Funding
Major Science and Technology Special Project of Variety Breeding of Zhejiang Province 2021C02067-7National Natural Science Foundation of China 32272553State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products 2021DG700024-KF202102Zhejiang Provincial Natural Science Foundation of China LQ23C020003
6 · The paper itself
Abstract
In plants, Trihelix transcription factors are responsible for regulating growth, development, and reaction to various abiotic stresses. However, their functions in tea plants are not yet fully understood. This study identified a total of 40 complete Trihelix genes in the tea plant genome, which are classified into five clades: GT-1 (5 genes), GT-2 (8 genes), GTγ (2 genes), SH4 (7 genes), and SIP1 (18 genes). The same subfamily exhibits similar gene structures and functional domains. Chromosomal mapping analysis revealed that chromosome 2 has the most significant number of trihelix family members. Promoter analysis identified cis-acting elements in
Indexed as
C. sinensisexpression profileosmotic stressphylogenetic analysistrihelix family (TH)
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.
Comprehensive Genomic Analysis of Trihelix Family in Tea Plant ( · full record | OpenQuestion