Unraveling the Genetic Architecture of Photoperiod Sensitivity in Myanmar Rice Landraces Through Integrated GWAS and Transcriptome Analysis

Photoperiod sensitivity (PS) is the major determinant of flowering time in rice and has played a critical role in adaptation across diverse ecotypes. To dissect the genetic and molecular architecture of PS in MYR landraces, we combined GWAS with transcriptomic profiling on 236 diverse accessions. Thirteen major QTL underlying heading date were mapped on chromosomes 1, 2, 3, 6, 7, and 8, consisting of the previously reported flowering genes (<i>OsHd1</i>, <i>OsFTIP9</i>) and a number of novel loci specific to Myanmar germplasm. Comparative RNA-seq analysis, using a photoperiod-sensitive (V10) and a photoperiod-insensitive (V3) <i>indica</i> genotype to the <i>japonica</i> cultivar 'H479B' as reference, showed distinct transcriptional reprogramming in response to short-day conditions, with higher-expression plasticity occurring in V10. By integrating GWAS signals with differential expressions, we narrowed our candidate gene set of two high-confidence regulators: <i>Os06g0275000</i>, encoding a zinc finger transcription factor, and <i>Os07g0606600</i> (<i>NF-YB10</i>). Both genes were highly expressed in a stage-specific manner and further confirmed by qRT-PCR. Our results suggest a complex genetic regulatory network attracting conserved photoperiod pathways with unique novel allelic variant populations in Myanmar landraces. These candidate genes will be potential targets for precision breeding to optimize flowering time and enhance adaptation both in response to climate change and photoperiodic changes.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-02-16
DOI
https://doi.org/10.3390/ijms27041897
Primary Topic
Plant Molecular Biology Research
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article
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article

Unraveling the Genetic Architecture of Photoperiod Sensitivity in Myanmar Rice Landraces Through Integrated GWAS and Transcriptome Analysis

Dongsun Lee, Xinyu Zhao, Nant Nyein Zar Ni Naing, Xiaoli Zhou et al.
International Journal of Molecular Sciences
Plant Molecular Biology Research
article

Unraveling the Genetic Architecture of Photoperiod Sensitivity in Myanmar Rice Landraces Through Integrated GWAS and Transcriptome Analysis

Dongsun Lee, Xinyu Zhao, Nant Nyein Zar Ni Naing, Xiaoli Zhou, Xianyu Wang, Junjie Li, Chunli Wang, Yushan Yin, Qian Zhu, Jiancheng Wen, Lijuan Chen, Cui Zhang
article en

Abstract

Photoperiod sensitivity (PS) is the major determinant of flowering time in rice and has played a critical role in adaptation across diverse ecotypes. To dissect the genetic and molecular architecture of PS in MYR landraces, we combined GWAS with transcriptomic profiling on 236 diverse accessions. Thirteen major QTL underlying heading date were mapped on chromosomes 1, 2, 3, 6, 7, and 8, consisting of the previously reported flowering genes (<i>OsHd1</i>, <i>OsFTIP9</i>) and a number of novel loci specific to Myanmar germplasm. Comparative RNA-seq analysis, using a photoperiod-sensitive (V10) and a photoperiod-insensitive (V3) <i>indica</i> genotype to the <i>japonica</i> cultivar 'H479B' as reference, showed distinct transcriptional reprogramming in response to short-day conditions, with higher-expression plasticity occurring in V10. By integrating GWAS signals with differential expressions, we narrowed our candidate gene set of two high-confidence regulators: <i>Os06g0275000</i>, encoding a zinc finger transcription factor, and <i>Os07g0606600</i> (<i>NF-YB10</i>). Both genes were highly expressed in a stage-specific manner and further confirmed by qRT-PCR. Our results suggest a complex genetic regulatory network attracting conserved photoperiod pathways with unique novel allelic variant populations in Myanmar landraces. These candidate genes will be potential targets for precision breeding to optimize flowering time and enhance adaptation both in response to climate change and photoperiodic changes.

International Journal of Molecular SciencesVol. 27(4)
Yunnan Agricultural University (CN), Yezin Agricultural University (MM), Rice Research Institute (CN)
Climate action
Openalex Percentile: Top 53%
Plant Molecular Biology Research
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