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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Plant Abiotic Stress
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1424689

QTL-Seq identified a genomic region on chromosome 1 for soil-salinity tolerance in F2 progeny of Thai salt-tolerant rice donor line 'Jao Khao'

Provisionally accepted
Prasit Khunsanit Prasit Khunsanit 1Navarit Jitsamai Navarit Jitsamai 1Nattana Thongsima Nattana Thongsima 1Supachitra Chadchawan Supachitra Chadchawan 1Monnat Pongpanich Monnat Pongpanich 1Isabelle M. Henry Isabelle M. Henry 2Luca Comai Luca Comai 2Duangjai Suriya-Arunroj Duangjai Suriya-Arunroj 3Itsarapong Budjun Itsarapong Budjun 3Teerapong Buaboocha Teerapong Buaboocha 1*
  • 1 Chulalongkorn University, Bangkok, Thailand
  • 2 University of California, Davis, Davis, California, United States
  • 3 Ministry of Agriculture and Cooperative (Thailand), Petchaburi, Thailand

The final, formatted version of the article will be published soon.

    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 markerassisted 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 salttolerant variety. Methods: A total of 462 F2 progeny grown in soil and treated with 160 mM NaCl were used as the QTL mapping population. Two high-and low-bulk sets, based on cell membrane stability (CMS) and tiller number at the recovery stage (TN), were equally sampled. The genomes of each pool were sequenced, and statistical significance of QTL was calculated using QTLseq and G prime (G') analysis which is based on calculating the allele frequency differences or Δ(SNP index) 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 (qCMS1) and the 26.13-26.80 Mb region with 1,011 SNPs on chromosome 3 (qCMS3); the Δ(SNP index) peaks were -0.2709 and 0.3127, respectively. TN-bulk was mapped at only one locus in the overlapping 38.26-38.95 Mb region on chromosome 1 with 575 SNPs (qTN1) and a Δ(SNP index) peak of -0.3544. These identified QTLs in two different genetic backgrounds of segregating populations derived from JK were validated. The results confirmed the co-localization of the qCMS1 and qTN1 traits on chromosome 1. Based on the CMS trait, qCMS1/qTN1 stably expressed 6-18% of the phenotypic variance in the two validation populations, while qCMS1/qTN1 accounted for 16-20% of the phenotypic variance in one validation population based on the TN trait. Conclusions: 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 qCMS-TN1 QTL can be used for gene/QTL pyramiding in marker-assisted selection to expedite breeding for salt resistance in rice at the seedling stage.

    Keywords: Quantitative Trait Loci, Bulk segregant analysis, QTL-seq, QTL mapping, QTL validation, marker-assisted selection, rice, salt tolerance

    Received: 28 Apr 2024; Accepted: 22 Jul 2024.

    Copyright: © 2024 Khunsanit, Jitsamai, Thongsima, Chadchawan, Pongpanich, Henry, Comai, Suriya-Arunroj, Budjun and Buaboocha. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Teerapong Buaboocha, Chulalongkorn University, Bangkok, Thailand

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