Evidence map›Paper›PMID 35203291›Full record

ArticleCells2022

Non-Coding RNA Analyses of Seasonal Cambium Activity in

Huimin Xu, Bo Chen, Yuanyuan Zhao, Yayu Guo, Guijun Liu, Ruili Li, Viktoria V Zeisler-Diehl, Yanmei Chen, Xinqiang He, Lukas Schreiber and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Long Non-Coding RNAInternational journal of molecular sciences · 2023
    Article
  7. Article
  8. Review
  9. Review
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

11 authors at 5 institutions in 2 countries.

Huimin XuCollege of Biological Sciences, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-0007-1306
Bo ChenCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China.
Yuanyuan ZhaoCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China.
Yayu GuoCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China.
Guijun LiuInstitute of Radiation Technology, Beijing Academy of Science and Technology, Beijing 100875, China.ORCID 0000-0003-4513-921X
Ruili LiCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0001-5112-3201
Viktoria V Zeisler-DiehlDepartment of Ecophysiology, Institute of Cellular and Molecular Botany, University of Bonn, Kirschallee 1, 53115 Bonn, Germany.
Yanmei ChenCollege of Biological Sciences, China Agricultural University, Beijing 100193, China.
Xinqiang HeCollege of Life Sciences, Peking University, Beijing 100871, China.
Lukas SchreiberDepartment of Ecophysiology, Institute of Cellular and Molecular Botany, University of Bonn, Kirschallee 1, 53115 Bonn, Germany.ORCID 0000-0001-7003-9929
Jinxing LinCollege of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China.
Beijing Forestry University · CNPeking University · CNUniversity of Bonn · DEBeijing Academy of Science and Technology · CNChina Agricultural University · CN

Funding

China Postdoctoral Science Foundation 2018M631246National Natural Science Foundation of China 31761133009National Natural Science Foundation of China 31800504National Natural Science Foundation of China 32030010
6 · The paper itself

Abstract

Non-coding RNA, known as long non-coding RNA (lncRNA), circular RNA (circRNA) and microRNA (miRNA), are taking part in the multiple developmental processes in plants. However, the roles of which played during the cambium activity periodicity of woody plants remain poorly understood. Here, lncRNA/circRNA-miRNA-mRNA regulatory networks of the cambium activity periodicity in Populus tomentosa was constructed, combined with morphologic observation and transcriptome profiling. Light microscopy and Periodic Acid Schiff (PAS) staining revealed that cell walls were much thicker and number of cell layers was increased during the active-dormant stage, accompanied by abundant change of polysaccharides. The novel lncRNAs and circRNAs were investigated, and we found that 2037 lncRNAs and 299 circRNAs were differentially expression during the vascular cambium period, respectively. Moreover, 1046 genes were identified as a target gene of 2037 novel lncRNAs, and 89 of which were the miRNA precursors or targets. By aligning miRNA precursors to the 7655 lncRNAs, 21 lncRNAs were identified as precursors tof 19 known miRNAs. Furthermore, the target mRNA of lncRNA/circRNA-miRNA network mainly participated in phytohormone, cell wall alteration and chlorophyll metabolism were analyzed by GO enrichment and KEGG pathway. Especially, circRNA33 and circRNA190 taking part in the phytohormone signal pathway were down-regulated during the active-dormant transition. Xyloglucan endotransglucosylase/hydrolase protein 24-like and UDP-glycosyltransferase 85A1 involved in the cell wall modification were the targets of lncRNA MSTRG.11198.1 and MSTRG.1050.1. Notably, circRNA103 and MSTRG.10851.1 regulate the cambium periodicity may interact with the miR482. These results give a new light into activity-dormancy regulation, associated with transcriptional dynamics and non-coding RNA networks of potential targets identification.

Indexed as

MicroRNAsPopulusRNA, Long NoncodingCambiumPlant Growth RegulatorsRNA, CircularRNA, MessengerSeasonsMicroRNAsPlant Growth RegulatorsRNA, CircularRNA, Long NoncodingRNA, Messengercambium activity periodicitycircRNAlncRNAPopulus tomentosa

Identifiers

PMID35203291
PMCPMC8869787
OpenAlexW4213102092

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.