Evidence map›Paper›PMID 39519974›Full record

ArticlePlants (Basel, Switzerland)2024

'140R' Rootstock Regulates Resveratrol Content in 'Cabernet Sauvignon' Grapevine Leaves Through miRNA.

Chunmei Zhu, Zhijun Zhang, Zhiyu Liu, Wenchao Shi, Dongliang Zhang, Baolong Zhao, Junli Sun

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. 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

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

1 citing paper in PubMed.

  1. 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

7 authors.

Chunmei ZhuDepartment of Horticulture, College of Agriculture, Shihezi University, Shihezi 832003, China.
Zhijun ZhangDepartment of Horticulture, College of Agriculture, Shihezi University, Shihezi 832003, China.
Zhiyu LiuDepartment of Horticulture, College of Agriculture, Shihezi University, Shihezi 832003, China.
Wenchao ShiDepartment of Horticulture, College of Agriculture, Shihezi University, Shihezi 832003, China.
Dongliang ZhangDepartment of Horticulture, College of Agriculture, Shihezi University, Shihezi 832003, China.
Baolong ZhaoDepartment of Horticulture, College of Agriculture, Shihezi University, Shihezi 832003, China.
Junli SunDepartment of Horticulture, College of Agriculture, Shihezi University, Shihezi 832003, China.

Funding

The National Natural Science Foundation of China 32060647The National Natural Science Foundation of China 32060648
6 · The paper itself

Abstract

Grafting is important for increasing the resistance of grapevines to environmental stress, improving fruit quality, and shortening the reproductive period. In this study, 'Cabernet Sauvignon' (CS) grafted on the resistant rootstock 140R (CS/140R), self-grafted grapevines of the resistant rootstock 140R (140R/140R), and self-grafted grapevines of CS (CS/CS) were subjected to high-throughput sequencing; small RNA (sRNA) libraries were constructed, and miRNAs responsive to the grafting process were identified. A total of 177 known miRNAs and 267 novel miRNAs were identified. Many miRNAs responsive to the grafting process were significantly down-regulated in CS/140R leaves relative to CS/CS leaves, such as vvi-miR171c, vvi-miR171e, et al., suggesting that the expression of these miRNAs might be affected by grafting. Kyoto Encyclopedia of Genes and Genomes analysis revealed that the differentially expressed miRNAs regulated the expression of genes in the phenylpropanoid synthesis pathway. Grapevine leaves transiently overexpressing vvi-miR171c were assayed, and the expression of the target gene,

Indexed as

graftinggrapemiRNAresveratrol

Identifiers

PMID39519974
PMCPMC11548312

What OpenQuestion holds

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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.