Evidence map›Paper›PMID 41469486›Full record

ArticleRice (New York, N.Y.)2025

Genomic and Transcriptomic Insights into Stage-Specific Drought Resilience in Diverse Myanmar Rice Germplasm.

Nant Nyein Zar Ni Naing, Chunli Wang, Qian Zhu, Honghai Yan, Cui Zhang, Junjie Li, Xianyu Wang, Dandan Li, Jiancheng Wen, Chengyun Li and 3 more

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

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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

13 authors.

Nant Nyein Zar Ni NaingRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Chunli WangRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Qian ZhuRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Honghai YanCollege of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Cui ZhangRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Junjie LiRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Xianyu WangRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Dandan LiRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Jiancheng WenRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Chengyun LiState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Youyong ZhuState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, Yunnan, China.
Lijuan ChenThe Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province, Yunnan Agricultural University, Kunming, 650201, Yunnan, China. chenlijuan@ynau.edu.cn.
Dongsun LeeRice Research Institute, Yunnan Agricultural University, Kunming, 650201, Yunnan, China. dong_east@hanmail.net.

Funding

the Central Leading Local Science and Technology Development Project (grant No. 202207AA110010)the Major Science and Technology Projects of Yunnan grant No. 202202AE09002102 and 202402AE090026the National Natural Science Foundation of China (grant No. 31860108
6 · The paper itself

Abstract

Drought stress remains a critical constraint to rice productivity, particularly during the early vegetative stages in rainfed environments. To elucidate the genetic and molecular mechanisms underpinning drought tolerance in rice, we conducted an integrated genome-wide association study (GWAS) and transcriptomic analysis on 236 genetically diverse Myanmar landraces, a region renowned for its unique and locally adapted rice germplasm. Phenotypic evaluation under simulated drought conditions revealed substantial variation in germination and seedling survival, with approximately 18% of accessions exhibiting high tolerance and 22% displaying susceptibility. Notably, contrasting responses between germination and seedling stages in some landraces suggest stage-specific genetic regulation of drought resilience. Population structure analyses demonstrated distinct clustering aligned with geographic origin, reflecting local adaptation and a complex evolutionary history distinct from other major rice populations. GWAS identified twelve significant QTLs across chromosomes 2, 4, 5, 7, 8, 9, 10, and 11, containing 546 candidate genes involved in ABA signaling, osmotic regulation, and stress-responsive pathways. Haplotype analysis at key loci, particularly on chromosome 7, revealed allelic variants strongly associated with enhanced drought tolerance, exemplified by favorable haplotypes linked to higher germination rates under stress. Complementary RNA-seq profiling of a superior drought-tolerant genotype (V5) and a highly sensitive one (V3) uncovered 3,476 and 2,590 differentially expressed genes, respectively. Tolerant landraces exhibited downregulation of photosynthesis-related genes and upregulation of osmotic adjustment and detoxification pathways. Integration of GWAS and transcriptomic data pinpointed 103 candidate genes within QTL regions, with Os07g0513000 (ATP synthase gamma chain) and Os07g0691200 (D-alanine ligase) emerging as prime candidates due to their strong upregulation in tolerant lines and linkage disequilibrium with major QTLs. Validation via qRT-PCR confirmed their potential roles in drought adaptation. These findings highlight the unique genetic architecture of Myanmar landraces, offering valuable alleles and regulatory networks for molecular breeding aimed at enhancing drought resilience in rice, and underscore the importance of conserving regional landraces as vital resources for climate-smart agriculture.

Indexed as

DEGsDroughtEarly vegetative stageGWASRiceRNA-Seq

Identifiers

PMID41469486
PMCPMC12858712

What OpenQuestion holds

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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.