Evidence map›Paper›PMID 40682700›Full record

SynthesisMolecular biology reports2025

A systematic review of single-cell RNA sequencing applications and insights in Oryza sativa response to environmental stresses.

Han Bao, Fen Zhou, Gaiye Ma, Guoqi Zheng

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2025. 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

4 authors.

Han BaoKey Laboratory of the Ministry of Education for Protection and Utilization of Special Biological Resources in the Western China, School of Life Science, Ningxia University, Yinchuan, 750021, Ningxia, China.
Fen ZhouKey Laboratory of the Ministry of Education for Protection and Utilization of Special Biological Resources in the Western China, School of Life Science, Ningxia University, Yinchuan, 750021, Ningxia, China.
Gaiye MaKey Laboratory of the Ministry of Education for Protection and Utilization of Special Biological Resources in the Western China, School of Life Science, Ningxia University, Yinchuan, 750021, Ningxia, China.
Guoqi ZhengKey Laboratory of the Ministry of Education for Protection and Utilization of Special Biological Resources in the Western China, School of Life Science, Ningxia University, Yinchuan, 750021, Ningxia, China. Zhengguoqi1977@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of single-cell RNA sequencing (scRNA-seq) in plant research has improved our capacity to identify transcriptional heterogeneities across diverse tissues. This method has been extensively used for numerous plant species in recent years. While many reviews have focused on single-cell research in Arabidopsis, there is a notable absence of comprehensive reviews addressing scRNA-seq applications in rice. This review provides a systematic overview of scRNA-seq studies conducted in rice between 2017 and 2024. It highlights recent advancements in transcriptomic technologies, including ATCT-seq, snRNA-seq, and Stereo-seq. The review also elucidates the role of single-cell transcriptomics across various rice tissues-roots, leaves, florets, and seeds-focusing particularly on the plant's responses to different stresses such as low nitrogen availability, high salinity, and iron deficiency, and resistance to the brown planthopper (BPH). The mesophyll cell population and chlorophyll abundance per mesophyll cell were reduced on high-salinity treatment (200 mM additional NaCl for three days). The cell numbers of procambium, guard cell, mestome sheath cell, and phloem were different between the BPH-susceptible and BPH-resistant rice varieties. Collectively, this review provides insights into how the integration of scRNA-seq technology can contribute to crop improvement strategies.

Indexed as

OryzaSequence Analysis, RNASingle-Cell AnalysisStress, PhysiologicalGene Expression ProfilingGene Expression Regulation, PlantTranscriptomeOryza sativaRiceSingle-cell RNA sequencingSingle-cell transcriptomicsSystematic review

Identifiers

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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.