Evidence map›Paper›PMID 42324674›Full record

ArticlePlant, cell & environment2026

Nitrogen Limitation Improves Rice Resistance to Brown Planthopper by Boosting the ABA Signalling Pathway.

Huan Chen, Qinyu Deng, Lijie Yang, Mengqi Hao, Linxi Pan, Qing Gao, Ran Li, Yonggen Lou, Jing Lu

Abstract read
In one paragraph

Article in Plant, cell & environment, 2026. 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. Article
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

9 authors.

Huan ChenState Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Qinyu DengYangzhou Agricultural Technology Comprehensive Service Center, Yangzhou, Jiangsu, China.
Lijie YangState Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Mengqi HaoState Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Linxi PanState Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Qing GaoState Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Ran LiState Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-5037-0582
Yonggen LouState Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-3262-6134
Jing LuState Key Laboratory of Rice Biology and Breeding & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-6416-6689

Funding

National Key Research and Development Program of China 2021YFD1401100National Natural Science Foundation of China 32572838
6 · The paper itself

Abstract

Nitrogen level significantly impacts rice resistance to the brown planthopper (BPH, Nilaparvata lugens). Yet, the mechanisms underlying nitrogen level-mediated rice BPH resistance remain largely unclear. Here, we found that, relative to medium nitrogen (MN) and high nitrogen (HN) conditions, low nitrogen (LN) suppressed rice growth but enhanced plant resistance to BPH, as evidenced by reduced nymph biomass, decreased phloem ingestion and lower fecundity. Biochemical and transcriptome analyses revealed that compared to MN and HN plants, LN plants exhibited significantly higher basal and/or BPH-induced levels of abscisic acid (ABA) and salicylic acid (SA), cell wall components (lignin, cellulose and hemicellulose), and certain flavonoids but lower levels of phenolamides. Moreover, the relative water content (RWC) and total amino acid concentrations were significantly lower in LN plants compared with those in MN and HN plants. Impairing the signalling pathway mediated by ABA but not SA in rice abolished the basal and/or BPH-induced accumulation of defence compounds (cell wall components and certain flavonoids) in plants and plant resistance to BPH. The results demonstrate that the ABA signalling pathway, together with reduced RWC and total amino acid concentrations in plants caused by LN conditions, plays an important role in regulating the LN-mediated rice resistance to BPH.

Indexed as

Abscisic AcidHemipteraHerbivoryNitrogenOryzaAnimalsCell WallFlavonoidsPlant Growth RegulatorsSignal TransductionTranscriptomeAbscisic AcidFlavonoidsNitrogenPlant Growth Regulatorsabscisic acidNilaparvata lugensnitrogenplant defencerice

Identifiers

PMID42324674
PMCPMC13436504

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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.