Evidence map›Paper›PMID 35790897›Full record

ArticleBMC plant biology2022

Genome-wide analysis of citrus TCP transcription factors and their responses to abiotic stresses.

Dong-Hai Liu, Yin Luo, Han Han, Yong-Zhong Liu, Shariq Mahmood Alam, Hui-Xing Zhao, Yan-Ting Li

Abstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Functional Characterization of the Oat (International journal of molecular sciences · 2026
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  5. Systematic Analysis of thePlants (Basel, Switzerland) · 2025
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  6. Genome-wide identification of oatFrontiers in genetics · 2025
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  11. Article
  12. Review
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  14. Article
  15. Comparative Transcriptome Analysis ofPlants (Basel, Switzerland) · 2023
    Article
  16. Article
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

7 authors.

Dong-Hai LiuKey Laboratory of Horticultural Plant Biology (Ministry of Education)/College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
Yin LuoKey Laboratory of Horticultural Plant Biology (Ministry of Education)/College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
Han HanKey Laboratory of Horticultural Plant Biology (Ministry of Education)/College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
Yong-Zhong LiuKey Laboratory of Horticultural Plant Biology (Ministry of Education)/College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, P.R. China. liuyongzhong@mail.hzau.edu.cn.
Shariq Mahmood AlamKey Laboratory of Horticultural Plant Biology (Ministry of Education)/College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
Hui-Xing ZhaoKey Laboratory of Horticultural Plant Biology (Ministry of Education)/College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
Yan-Ting LiKey Laboratory of Horticultural Plant Biology (Ministry of Education)/College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCitrus is one of the most important fruit crops in the world, and it is worthy to conduct more research on artificially controlling citrus plant growth and development to adapt to different cultivation patterns and environmental conditions. The plant-specific TEOSINTE BRANCHED1, CYCOLOIDEA, and PROLIFERATING CELL FACTORS (TCP) transcription factors are crucial regulators controlling plant growth and development, as well as responding to abiotic stresses. However, the information about citrus TCP transcription factors remains unclear.

resultsIn this study, twenty putative TCP genes (CsTCPs) with the TCP domain were explored from Citrus sinensis genome, of which eleven (CsTCP3, - 4, - 5, - 6, - 10, - 11, - 15, - 16, - 18, - 19, - 20), five (CsTCP1, - 2, - 7, - 9, - 13), and four genes (CsTCP8, - 12, - 14, - 17) were unevenly distributed on chromosomes and divided into three subclades. Cis-acting element analysis indicated that most CsTCPs contained many phytohormone- and environment-responsive elements in promoter regions. All of CsTCPs were predominantly expressed in vegetative tissues or organs (stem, leaf, thorn, and bud) instead of reproductive tissues or organs (flower, fruit, and seed). Combined with collinearity analysis, CsTCP3, CsTCP9, and CsTCP13 may take part in leaf development; CsTCP12 and CsTCP14 may function in shoot branching, leaf development, or thorn development; CsTCP15 may participate in the development of stem, leaf, or thorn. In mature leaf, transcript levels of two CsTCPs (CsTCP19, - 20) were significantly increased while transcript levels of eight CsTCPs (CsTCP2, - 5, - 6, - 7, - 8, - 9, - 10, - 13) were significantly decreased by shading; except for two CsTCPs (CsTCP11, - 19), CsTCPs' transcript levels were significantly influenced by low temperature; moreover, transcript levels of two CsTCPs (CsTCP11, - 12) were significantly increased while five CsTCPs' (CsTCP14, - 16, - 18, - 19, - 20) transcript levels were significantly reduced by drought.

conclusionsThis study provides significant clues for research on roles of CsTCPs in regulating citrus plant growth and development, as well as responding to abiotic stresses.

Indexed as

CitrusTranscription FactorsGenome, PlantPlant ProteinsStress, PhysiologicalPlant ProteinsTranscription FactorsAbiotic stressCitrus sinensisExpression patternGenome-wide analysisTCP family

Identifiers

PMID35790897
PMCPMC9258177

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Registered trials

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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.