Evidence map›Paper›PMID 36918913›Full record

ArticleGenome biology2023

Cell-specific clock-controlled gene expression program regulates rhythmic fiber cell growth in cotton.

Dehe Wang, Xiao Hu, Hanzhe Ye, Yue Wang, Qian Yang, Xiaodong Liang, Zilin Wang, Yifan Zhou, Miaomiao Wen, Xueyan Yuan and 7 more

Open access · goldFull text read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
21.0field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
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  14. Genetic dissection of lint percentage in an introgression population between Gossypium hirsutum and G. mustelinum.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  18. Using Callus as an Ex Vivo System for Chromatin Analysis.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
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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

17 authors at 3 institutions in 2 countries.

Dehe Wang *State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Xiao Hu *State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Hanzhe YeState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Yue WangState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Qian YangState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Xiaodong LiangState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Zilin WangState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Yifan ZhouState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Miaomiao WenInstitute for Advanced Studies, Wuhan University, Wuhan, China.
Xueyan YuanState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Xiaomin ZhengState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Wen YeMedical Research Institute, Frontier Science Center for Immunology and Metabolism, School of Medicine, Wuhan University, Wuhan, China.
Boyu GuoState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China.
Mayila YusuyinResearch Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China.
Eugenia RussinovaDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Yu ZhouState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China. yu.zhou@whu.edu.cn.
Kun WangState Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China. wangk05@whu.edu.cn.ORCID 0000-0001-5910-1568
Wuhan University · CNGhent University · BEXinjiang Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidermis of cotton ovule produces fibers, the most important natural cellulose source for the global textile industry. However, the molecular mechanism of fiber cell growth is still poorly understood.

resultsHere, we develop an optimized protoplasting method, and integrate single-cell RNA sequencing (scRNA-seq) and single-cell ATAC sequencing (scATAC-seq) to systematically characterize the cells of the outer integument of ovules from wild type and fuzzless/lintless (fl) cotton (Gossypium hirsutum). By jointly analyzing the scRNA-seq data from wildtype and fl, we identify five cell populations including the fiber cell type and construct the development trajectory for fiber lineage cells. Interestingly, by time-course diurnal transcriptomic analysis, we demonstrate that the primary growth of fiber cells is a highly regulated circadian rhythmic process. Moreover, we identify a small peptide GhRALF1 that circadian rhythmically controls fiber growth possibly through oscillating auxin signaling and proton pump activity in the plasma membrane. Combining with scATAC-seq, we further identify two cardinal cis-regulatory elements (CREs, TCP motif, and TCP-like motif) which are bound by the trans factors GhTCP14s to modulate the circadian rhythmic metabolism of mitochondria and protein translation through regulating approximately one third of genes that are highly expressed in fiber cells.

conclusionsWe uncover a fiber-specific circadian clock-controlled gene expression program in regulating fiber growth. This study unprecedentedly reveals a new route to improve fiber traits by engineering the circadian clock of fiber cells.

Indexed as

Cotton FiberGossypiumGene ExpressionGene Expression ProfilingGene Expression Regulation, PlantPhenotypePlant ProteinsPlant ProteinsCottonFiber developmentRhythmic regulationscRNA-seq

Identifiers

PMID36918913
PMCPMC10012527
OpenAlexW4324141350

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read59
table measurements read1
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.