Screening of Reference miRNA of Different Early- and Late-Flowering Tree Peony Varieties.

Jiajia Shen, Xiaohui Wang, Yuying Li, Lili Guo, Xiaogai Hou

Abstract read

In one paragraph

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

–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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Horticulture research · 2026
Article

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jiajia ShenCollege of Agriculture, Henan University of Science and Technology, Luoyang 471023, China.

Xiaohui WangLuoyang Academy of Agricultural and Forestry Sciences, Luoyang 471002, China.

Yuying LiCollege of Agriculture, Henan University of Science and Technology, Luoyang 471023, China.

Lili GuoCollege of Agriculture, Henan University of Science and Technology, Luoyang 471023, China.

Xiaogai HouCollege of Agriculture, Henan University of Science and Technology, Luoyang 471023, China.

Funding

the Colleges and Universities Science and Technology Innovation Talent Support Plan of Henan Province 22HASTIT036the Innovation Scientists and Technicians Troop Construction Projects of Henan Province 212101510003the Outstanding Youth Fund Project of Natural Science Foundation of Henan Province 202300410119

6 · The paper itself

Abstract

miRNA plays an important role in plant growth and development and in response to various stresses. Quantitative real-time PCR (qRT-PCR) technology is often used to detect the expression level of miRNAs and genes by comparing with reference genes. In order to screen out the optimal reference miRNAs in different tree peony varieties, the petals of 42 different early- and late-flowering tree peony varieties were used as experimental materials, and geNorm, NormFinder, Bestkeeper, and RefFinder software were used to evaluate the stability of 16 candidate reference miRNAs. The results showed that the average Ct values of all candidate reference miRNAs were between 15.34 ± 0.29 and 32.64 ± 0.38. The optimal number of reference miRNAs was four, which were

Indexed as

different varietiesmiRNAqRT-PCRreference genetree peony

Identifiers

PMID37514244

DOI10.3390/plants12142629

PMCPMC10384584

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