Evidence map›Paper›PMID 42750108›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Molecular Bases and Genetic Design of Rice Disease Resistance for Optimized Yield and Sustainable Agriculture.

Xinyue Hou, Yuanjiang Cui, Chaoqing Ding, Qian Qian, Deyong Ren

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Xinyue Hou *State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou, China.
Yuanjiang Cui *State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou, China.
Chaoqing DingState Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou, China.
Qian QianState Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou, China.ORCID https://orcid.org/0000-0002-0349-4937
Deyong RenState Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou, China.ORCID https://orcid.org/0000-0003-1140-3633

Funding

Central Public-interest Scientific Institution Basal Research Fund Y2026YC43National Key R&D Program of China 2021YFD1200503National Natural Science Foundation of China 32188102National Natural Science Foundation of China 32372118Project of 'Addressing the List and Taking Command' of State Key Laboratory of Rice Biology and Breeding 2025JB102Qian Qian Academician Workstation YSPTZX202303Zhejiang Natural Science Foundation LZ25C130010
6 · The paper itself

Abstract

Rice diseases continue to undermine yield stability and threaten the sustainability of rice production. The central challenge is therefore not simply to maximize immune activation, but to identify genetic interventions that remain effective across diverse pathogen races and environmental conditions without imposing excessive penalties on growth or yield. Here, we synthesize the molecular basis of rice immunity from a design-oriented perspective. We first examine cell-surface pattern-recognition receptors and intracellular nucleotide-binding leucine-rich repeat receptors, and then assess the shared signaling hubs and defence outputs that connect pathogen perception to antimicrobial responses. Rather than treating these components as equivalent breeding targets, we compare their translational potential according to resistance spectrum, anticipated durability, tunability, pleiotropic risk, and the strength of field evidence. We further discuss breeding strategies based on receptor engineering, editing of susceptibility genes and cis-regulatory elements, post-translational motif engineering, pathogen-inducible and upstream open reading frame-mediated regulation, resistance-gene stacking and artificial intelligence-assisted prediction. We argue that rational resistance design in rice should move beyond constitutive immune activation toward allele-specific, quantitative, spatially restricted and infection-responsive regulation. Integrating mechanistic insights with precision genome editing, accelerated breeding and responsible deployment offers a practical route to durable, yield-compatible disease resistance while reducing dependence on chemical control.

Indexed as

breeding strategydisease resistancegenetic improvementhigh yieldimmune mechanismrice

Identifiers

PMID42750108
PMCPMC13583107

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.