ArticleFrontiers in plant science2026
QTL mapping and haplotype analysis reveal candidate genes for seedling-stage salinity tolerance in rice.
Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Soil salinization is a major constraint on rice production, and severe salinity levels lead to pronounced yield losses. Therefore, elucidating the genetic architecture of salinity tolerance and identifying candidate genes underlying this trait are crucial for molecular design breeding. Methods: In this study, a population of 253 recombinant inbred lines (RILs) derived from the salt-sensitive japonica cultivar Jileng 1 (JL1) and the salt-tolerant indica cultivar Milyang 23 (MY23) was evaluated for seedling-stage salinity tolerance under 0.9% NaCl stress. Results: Using multiple phenotypic indices and a high-density genetic map constructed from whole-genome resequencing data, we identified 43 QTLs associated with seedling-stage salinity tolerance, including 11 major-effect loci, each explaining more than 10% of the phenotypic variance. By integrating functional annotation, haplotype analysis, RNA-seq-based co-expression network analysis, and qRT-PCR validation, Discussion: These findings provide new insights into the genetic architecture of seedling-stage salinity tolerance and offer potential genetic resources for breeding salinity-tolerant rice varieties.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.