Evidence map›Paper›PMID 42877581›Full record

ReviewFrontiers in microbiology2026

Long-distance RNA-RNA interactions shape dynamic RNA architectures and functional states in plant positive-strand RNA viruses.

Deya Wang, Haoran Wu, Xianping Zhang, Qingle Chang, Xuefeng Yuan

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2026. 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

5 authors.

Deya Wang *College of Life Sciences, Zaozhuang University, Zaozhuang, China.
Haoran Wu *College of Life Sciences, Zaozhuang University, Zaozhuang, China.
Xianping ZhangCollege of Life Sciences, Zaozhuang University, Zaozhuang, China.
Qingle ChangCollege of Life Sciences, Zaozhuang University, Zaozhuang, China.
Xuefeng YuanShandong Provincial Key Laboratory of Agricultural Microbiology, Department of Plant Pathology, College of Plant Protection, Shandong Agricultural University, Tai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomes of positive-strand RNA [(+)ssRNA] viruses function as dynamic RNA molecules that participate in multiple, sometimes competing, processes during infection, including translation, genome replication, subgenomic RNA (sgRNA) transcription, and genome packaging. These distinct processes require viral RNAs to adopt different conformational states, which are influenced by RNA-RNA interactions and associated viral or host factors. Therefore, understanding how viral RNAs undergo structural remodeling in space and time, and how they transition between different functional states, represents a central question in the regulation of positive-strand RNA virus gene expression. Recent studies of diverse plant positive-strand RNA viruses have revealed that long-distance RNA-RNA interactions (LDRIs) serve as important regulatory mechanisms that shape viral RNA higher-order structures and functional states. This review summarizes recent advances in understanding how LDRI-mediated RNA conformational transitions contribute to the formation of higher-order viral RNA structures and support diverse viral RNA functions. We propose that LDRIs should be viewed not only as physical connections between distant RNA regions, but also as dynamic structural elements embedded within viral RNA folding landscapes, where they contribute to transitions between alternative RNA conformations and functional states.

Indexed as

dynamic RNA structuregene expression and replicationlong-distance RNA–RNA interactions (LDRIs)plant positive-strand RNA virusesRNA structural remodeling

Identifiers

PMID42877581
PMCPMC13662761

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.