Evidence map›Paper›PMID 42728868›Full record

ReviewThe plant genome2026

History of near-isogenic lines carrying genes for resistance to bacterial blight and blast in rice (Oryza sativa L.).

Van Schepler-Luu, Mary Jeanie Telebanco-Yanoria, Hiroki Saito, Casiana M Vera Cruz

Abstract readReviewHistorical Article
In one paragraph

Review in The plant genome, 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. 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.

Van Schepler-LuuInternational Rice Research Institute, Los Banos, The Philippines.ORCID https://orcid.org/0000-0002-0709-2783
Mary Jeanie Telebanco-YanoriaInternational Rice Research Institute, Los Banos, The Philippines.
Hiroki SaitoJapan International Research Center for Agricultural Sciences, Ishigaki, Japan.
Casiana M Vera CruzInternational Rice Research Institute, Los Banos, The Philippines.ORCID https://orcid.org/0000-0002-2596-5621

Funding

CGIAR Plant Health InitiativeConsortium of International Agricultural Research Centers CGIAR Plant Health Inititative
6 · The paper itself

Abstract

Bacterial blight and blast, caused by Xanthomonas oryzae pv. oryzae and Magnaporthe oryzae, respectively, are the two most devastating diseases of rice (Oryza sativa L.). Although the diseases were first documented in the 17th-19th centuries, systematic research on their pathology and host resistance began in the early 20th century and was significantly accelerated following the development of near-isogenic lines (NILs) carrying single resistance genes in universally susceptible backgrounds in the 1980s. Sets of NILs for bacterial blight (IRBB) and International Rice Research Institute (IRRI)-bred Blast-resistant Line (IRBL) were developed through a long-term collaboration between the IRRI and the Japan International Research Center for Agricultural Sciences. Over the years, these materials have been widely distributed for pathogen population monitoring, studying the molecular mechanisms of resistance, assessing the synergistic effect of multiple resistance genes, and developing new resistant varieties, thereby benefiting millions of rice farmers worldwide. In this article, we describe the historical development of the IRBB and IRBL lines, highlight their global impact, and provide perspectives on their relevance not only for bacterial blight and blast but also for emerging rice diseases that could benefit from this approach.

Indexed as

Disease ResistanceOryzaPlant DiseasesXanthomonasGenes, PlantHistory, 20th CenturyMagnaporthe

Identifiers

PMID42728868
PMCPMC13570268

What OpenQuestion 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 OpenQuestion graph.