Evidence map›Paper›PMID 41351148›Full record

ArticleBMC genomics2025

Integrated analyses reveal drought responsive microRNAs and their target genes in cucumber.

Yi Xiao, Lili Guan, Zhaolong Sun, Yifei Du, Danni Xu, Keling Hu, Defang Gan

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yi XiaoSchool of Horticulture, Anhui Agricultural University, Hefei, Anhui, 230036, China.
Lili GuanSchool of Horticulture, Anhui Agricultural University, Hefei, Anhui, 230036, China.
Zhaolong SunSchool of Horticulture, Anhui Agricultural University, Hefei, Anhui, 230036, China.
Yifei DuSchool of Horticulture, Anhui Agricultural University, Hefei, Anhui, 230036, China.
Danni XuSchool of Horticulture, Anhui Agricultural University, Hefei, Anhui, 230036, China.
Keling HuSchool of Horticulture, Anhui Agricultural University, Hefei, Anhui, 230036, China.
Defang GanSchool of Horticulture, Anhui Agricultural University, Hefei, Anhui, 230036, China. dfgan1@163.com.

Funding

the Natural Science Research Project of Anhui Province 2023AH051056
6 · The paper itself

Abstract

Cucumber (Cucumis sativus), a key vegetable crop, is highly sensitive to water deficiency. MicroRNAs (miRNAs ) are small non-coding RNAs (18–25 nucleotides), which regulate gene expression via sequence-specific binding, and are crucial for plant growth, development, and stress responses. To explore drought-responsive miRNAs and their targets in C. sativus, transcriptome, miRNA, and degradome sequencing were conducted on drought-stressed cucumber leaves. A total of 7,871 differentially expressed mRNAs and 57 differentially expressed miRNAs (55 known and 2 novel) were identified. Degradome analysis revealed 43 miRNAs targeting 129 genes, forming 164 miRNA-target gene pairs, which were primarily involved in secondary metabolite biosynthesis and abiotic stress responses. Among them, 11 key miRNA-target gene pairs linked to drought response were highlighted. This study offered valuable molecular insights into miRNA-mediated drought regulation in cucumbers, thereby contributing our understanding of their stress adaptation mechanisms.

Indexed as

Cucumis sativusDroughtsMicroRNAsDrought ResistanceGene Expression ProfilingGene Expression Regulation, PlantRNA, PlantRNA StabilityStress, PhysiologicalTranscriptomeMicroRNAsRNA, PlantCucumberDegradation analysisDrought stressMicroRNAsTranscriptome analysis

Identifiers

PMID41351148
PMCPMC12715962

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.