Evidence map›Paper›PMID 35432420›Full record

ArticleFrontiers in plant science2022

Insights Into MicroRNA-Mediated Regulation of Flowering Time in Cotton Through Small RNA Sequencing.

Yu Zhou, Aye Aye Myat, Chengzhen Liang, Zhigang Meng, Sandui Guo, Yunxiao Wei, Guoqing Sun, Yuan Wang, Rui Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Yu ZhouBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Aye Aye MyatBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Chengzhen LiangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhigang MengBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Sandui GuoBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Yunxiao WeiBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Guoqing SunBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Yuan WangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Rui ZhangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Biotechnology Research Institute · CNChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The timing of flowering is a key determinant for plant reproductive. It has been demonstrated that microRNAs (miRNAs) play an important role in transition from the vegetative to reproductive stage in cotton; however, knowledge remains limited about the regulatory role of miRNAs involved in flowering time regulation in cotton. To elucidate the molecular basis of miRNAs in response to flowering time in cotton, we performed high-throughput small RNA sequencing at the fifth true leaf stage. We identified 56 and 43 miRNAs that were significantly up- and downregulated in two elite early flowering cultivars (EFC) compared with two late flowering cultivars (LFC), respectively. The miRNA targets by RNA sequencing analysis showed that

Indexed as

cottonearly floweringmiRNAshoot apextranscriptome

Identifiers

PMID35432420
PMCPMC9010036
OpenAlexW4220949024

What OpenQuestion holds

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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.