Evidence map›Paper›PMID 41012073›Full record

ArticlePlants (Basel, Switzerland)2025

Integrative Transcriptomic and Metabolomic Analyses Elucidate the Molecular Mechanisms Underlying Enhanced Yield and Bacterial Blight Resistance in the RXN2 Rice Cultivar.

Ji'an Bi, Jingqi Wang, Xuan Huang, Jiefeng Jiang, Xianbo Shi, Genliang Bao, Qiufeng Meng, Chengqi Yan

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Ji'an BiInstitute of Crop Research, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China.
Jingqi WangInstitute of Crop Research, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China.
Xuan HuangInstitute of Crop Research, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China.
Jiefeng JiangInstitute of Crop Research, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China.ORCID 0000-0002-1080-9896
Xianbo ShiInstitute of Crop Research, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China.
Genliang BaoInstitute of Crop Research, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China.
Qiufeng MengInstitute of Crop Research, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China.
Chengqi YanInstitute of Crop Research, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China.

Funding

Ningbo Natural Science Foundation Program, National Key Research and Development Program of China 2022J197, 2024YFD2300504
6 · The paper itself

Abstract

Achieving high yield while maintaining disease resistance is a crucial goal in rice breeding programs. In this research, two cultivated rice varieties, Jia58 and Runxiang3, were selected as parental lines. A new variety, designated as the new variety RXN2, was generated and identified through a breeding process that involved hybridization of the parental lines followed by irradiation-induced mutagenesis of the offspring. Compared with its parental lines, RXN2 shows increased plant height, higher yield, and stronger resistance to bacterial blight. Comprehensive transcriptomic and metabolic analyses indicate that pathways associated with growth, such as gibberellin and auxin signaling, are upregulated in RXN2. Meanwhile, defense-related pathways, especially those involving jasmonic acid and peroxidase metabolism, are significantly enhanced. These results provide new insights into the trade-offs between growth and defense and elucidate the genetic and metabolic underpinnings of the simultaneous improvement in grain yield and disease resistance in rice.

Indexed as

bacterial blightgrain yieldgrowth–defense trade-offmetabolomicphytohormonetranscriptomic

Identifiers

PMID41012073
PMCPMC12473288

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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.