Evidence map›Paper›PMID 41146286›Full record

ArticleGenome biology2025

Rational design of promoter editing confers multipathogen resistance in rice.

Xinyu Han, Lei Yang, Fengdie Xia, Peng Sun, Zhenhua Guo, Tian Chen, Gan Sha, Lin Lin, Yin Wang, Xiaojing Kong and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

20 authors.

Xinyu Han *National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Lei Yang *National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Fengdie XiaNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Peng SunNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Zhenhua GuoNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Tian ChenNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Gan ShaNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Lin LinNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Yin WangNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Xiaojing KongNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Anum BashirNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Guang ChenNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Ke LiNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Qiping SunNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Yongxin XiaoNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
Tom HsiangSchool of Environmental Sciences, University of Guelph, Guelph, N1G 2W1, Canada.
Weibo XieNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Qiang LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Kabin XieNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Guotian LiNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China. li4@mail.hzau.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 2662023PY006, AML2023A05, 2662024ZKPY001, 2662025ZKPY008the Key R&D Program of Hubei Province 2023BBB171the National Key R&D Program of China 2022YFA1304402the National Natural Science Foundation of China 32505050, 32172373
6 · The paper itself

Abstract

backgroundFine-tuned gene expression rather than alterations in the protein-coding region of a gene is responsible for the optimal performance conferred by many elite alleles in crops. Lesion mimic mutants (LMMs), a type of plant mutants with hyperactivated immune responses, often show enhanced resistance but with yield penalties. To fine-tune the expression level of LMM genes using promoter editing is of considerable interest in crop disease control.

resultsHere we demonstrate the power of predictive promoter editing in optimizing expression of the rice LMM gene RBL1, encoding a CDP-DAG synthase in phospholipid metabolism, by breaking immunity-growth trade-offs. Through bioinformatic analyses of open chromatin accessibility, we identify key cis-regulatory regions in the RBL1 promoter. Guided by these predictions, we efficiently assess the regulatory role of different cis-regulatory regions in the rice protoplast system and then generate multiple promoter-edited rice lines with varied RBL1 expression levels. Notably, Pro1, an edited line with a 71.0% reduction in gene expression and altered levels of multiple phospholipids, shows broad-spectrum resistance to rice blast without compromising yield in field trials. Similarly, we generate a phenotype-copied PRO1 allele for enhanced disease resistance in another rice cultivar.

conclusionsOur study has generated an edited promoter of RBL1 that confers multipathogen resistance with no yield penalty. Our study demonstrates a framework for predictable promoter engineering in balancing agronomic traits, especially through optimizing LMMs for crop improvement.

Indexed as

Disease ResistanceGene EditingOryzaPromoter Regions, GeneticGene Expression Regulation, PlantPlant DiseasesPlant ProteinsPlants, Genetically ModifiedPlant ProteinsBroad-spectrum disease resistanceFine-tuning gene expressionImmunity-growth trade-offPromoter editingRice (Oryza sativa)

Identifiers

PMID41146286
PMCPMC12557872

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.