Evidence map›Paper›PMID 39258300›Full record

ArticleFrontiers in plant science2024

QTL-Seq identified a genomic region on chromosome 1 for soil-salinity tolerance in F

Prasit Khunsanit, Navarit Jitsamai, Nattana Thongsima, Supachitra Chadchawan, Monnat Pongpanich, Isabelle M Henry, Luca Comai, Duangjai Suriya-Arunroj, Itsarapong Budjun, Teerapong Buaboocha

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. 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

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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

10 authors.

Prasit Khunsanit *Program in Biotechnology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Navarit Jitsamai *Center of Excellence in Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Nattana ThongsimaCenter of Excellence in Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Supachitra ChadchawanCenter of Excellence in Environment and Plant Physiology, Department of Botany, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Monnat PongpanichOmics Sciences and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Isabelle M HenryDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, CA, United States.
Luca ComaiDepartment of Plant Biology and Genome Center, University of California, Davis, Davis, CA, United States.
Duangjai Suriya-ArunrojRice Department, Ministry of Agriculture and Cooperation, Bangkok, Thailand.
Itsarapong BudjunRice Department, Ministry of Agriculture and Cooperation, Bangkok, Thailand.
Teerapong BuaboochaCenter of Excellence in Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Owing to advances in high-throughput genome sequencing, QTL-Seq mapping of salt tolerance traits is a major platform for identifying soil-salinity tolerance QTLs to accelerate marker-assisted selection for salt-tolerant rice varieties. We performed QTL-BSA-Seq in the seedling stage of rice from a genetic cross of the extreme salt-sensitive variety, IR29, and "Jao Khao" (JK), a Thai salt-tolerant variety. Methods: A total of 462 F Results: Both methods detected the overlapping interval region, wherein CMS-bulk was mapped at two loci in the 38.41-38.85 Mb region with 336 SNPs on chromosome 1 ( Conclusion: The findings confirm that the CMS and TN traits are tightly linked to the long arm of chromosome 1 rather than to chromosome 3. The validated

Indexed as

bulk segregant analysismarker-assisted selectionQTL mappingQTL-seqQTL validationquantitative trait lociricesalt tolerance

Identifiers

PMID39258300
PMCPMC11385611

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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.