Evidence map›Paper›PMID 41484656›Full record

ArticleGenome biology2026

Global atlas of enhancer-promoter interactome in cotton genome revealed by profiling RNA-RNA spatial interactions.

Miaomiao Wen, Xiaodong Liang, Keke Shi, Liangdan Fei, Yijie Wang, Yu Zhou, Kun Wang

Abstract read
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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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.

Miaomiao Wen *State Key Laboratory of Hybrid Rice, Hubei Provincial Research Center for Basic Biological Sciences, Hubei Hongshan Laboratory, Institute for Advanced Studies, College of Life Sciences, Wuhan University, Wuhan, China.
Xiaodong Liang *State Key Laboratory of Hybrid Rice, Hubei Provincial Research Center for Basic Biological Sciences, Hubei Hongshan Laboratory, Institute for Advanced Studies, College of Life Sciences, Wuhan University, Wuhan, China.
Keke Shi *State Key Laboratory of Hybrid Rice, Hubei Provincial Research Center for Basic Biological Sciences, Hubei Hongshan Laboratory, Institute for Advanced Studies, College of Life Sciences, Wuhan University, Wuhan, China.
Liangdan FeiState Key Laboratory of Hybrid Rice, Hubei Provincial Research Center for Basic Biological Sciences, Hubei Hongshan Laboratory, Institute for Advanced Studies, College of Life Sciences, Wuhan University, Wuhan, China.
Yijie WangState Key Laboratory of Hybrid Rice, Hubei Provincial Research Center for Basic Biological Sciences, Hubei Hongshan Laboratory, Institute for Advanced Studies, College of Life Sciences, Wuhan University, Wuhan, China.
Yu ZhouState Key Laboratory of Hybrid Rice, Hubei Provincial Research Center for Basic Biological Sciences, Hubei Hongshan Laboratory, Institute for Advanced Studies, College of Life Sciences, Wuhan University, Wuhan, China. yu.zhou@whu.edu.cn.
Kun WangState Key Laboratory of Hybrid Rice, Hubei Provincial Research Center for Basic Biological Sciences, Hubei Hongshan Laboratory, Institute for Advanced Studies, College of Life Sciences, Wuhan University, Wuhan, China. wangk05@whu.edu.cn.

Funding

China NSFC projects 82341023Foundation of Hubei Hongshan Laboratory 2021hszd014Hubei Provincial Natural Science Foundation of China 2024AFE008National Key R&D Program of China 2022YFF1001400National Natural Science Foundation of China 32070207Natural Science Foundation of Hubei province 2024AFE007the Fundamental Research Funds for the Central Universities 2042022dx0003the National Key R&D Program of China 2023YFC2307802
6 · The paper itself

Abstract

backgroundRNA-RNA spatial interactions play crucial roles in various cellular processes, including gene transcriptional and post-transcriptional regulations. However, research on this area of RNA regulation remains limited in plants.

resultsHere, we adapt the global RNA-RNA interaction mapping method for plants and develop plant RNA in situ conformation sequencing, pRIC-seq, to generate comprehensive RNA-RNA spatial interaction maps for diploid and tetraploid cotton. We also perform global nuclear run-on followed by cap-selection assay, GRO-cap, and integrate multi-omics data to construct enhancer landscapes in these cotton species. Focusing on enhancer-promoter (E-P) RNA interactions, we find that tetraploid cotton, following polyploidy, innovates numerous novel E-P RNA interactions, thereby increasing its genomic regulatory complexity. Comparative analyses between wild-type and mutant fuzzless/lintless in tetraploid cotton reveal that RNA-RNA interactions, including E-P RNA interactions, play pivotal roles in fiber development. Our study also identifies short tandem repeats and transposable elements as potential mediators of E-P RNA interactions through base pairing within the cotton genome. Finally, integrating with genome-wide association studies (GWAS) and eQTLs from previous studies, we observe that our RNA-RNA interactions are significantly enriched near those functional mutation sites. Importantly, by using RAP-qPCR, we confirm that GWAS related enhancers interact with the promoters of protein-coding genes, explaining their regulatory mechanisms in fiber trait control.

conclusionsOur results provide the first genome-wide RNA-RNA interaction map in higher plants and offer valuable insights into the enhancer-regulated pathway and targets for future breeding studies.

Indexed as

Enhancer Elements, GeneticGenome, PlantGossypiumPromoter Regions, GeneticRNA, PlantGene Expression Regulation, PlantTetraploidyRNA, PlantCottonEnhancer-promoterpRIC-seqRNA-RNA interactionShort tandem repeatTransposon

Identifiers

PMID41484656
PMCPMC12857045

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.