Evidence map›Paper›PMID 41618170›Full record

ArticleBMC plant biology2026

Integrating Meta-QTL mapping and RNA-seq analysis identifies candidate genes for cold tolerance at rice seedling stage.

Xiu-Jie Li, Pedro García-Caparros, Ye-Dong Sun, Yi-Shan Cheng, Yun-Yu Li, Ming-Hui Zhao, Zhi-Fu Guo

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Xiu-Jie Li *Key Laboratory of Agricultural Biotechnology of Liaoning Province, College of Biosciences and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China.
Pedro García-Caparros *Higher Engineering School, University of Almeria, Almeria, 04120, Spain.
Ye-Dong SunKey Laboratory of Agricultural Biotechnology of Liaoning Province, College of Biosciences and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China.
Yi-Shan ChengKey Laboratory of Agricultural Biotechnology of Liaoning Province, College of Biosciences and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China.
Yun-Yu LiKey Laboratory of Agricultural Biotechnology of Liaoning Province, College of Biosciences and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China.
Ming-Hui ZhaoRice research Institute, College of Agronomy, Shenyang Agricultural University, Shenyang, 110866, China. mhzhao@syau.edu.cn.
Zhi-Fu GuoKey Laboratory of Agricultural Biotechnology of Liaoning Province, College of Biosciences and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China. zfguo@syau.edu.cn.

Funding

the National Key R&D Program of China Grant No. 2024YFD1501505the Research Program of the Education Department in Liaoning Province Grant No. JYTYB2024013
6 · The paper itself

Abstract

Cold stress severely limits rice growth and yield. To overcome the limitations of traditional QTL mapping, this study employed an integrated Meta-QTL and RNA-seq approach to systematically identify cold tolerance genes in rice seedlings. We meta-analyzed 553 QTLs from 28 published studies (2005-2023), yielding 41 robust meta-QTLs with an average confidence interval of 2.08 Mb across all 12 chromosomes. Parallel transcriptome analysis of seedlings under cold stress identified 14,692 differentially expressed genes (DEGs). Integrative analysis pinpointed 34 high-confidence candidate genes within the meta-QTL intervals, including known 13 stress-responsive genes and 21 previously uncharacterized loci. qRT-PCR validated their dynamic expression under cold stress. This work provides precise genetic targets and a validated framework for breeding cold-tolerant rice, enhancing our understanding of the genetic architecture underlying cold adaptation.

Indexed as

Cold-Shock ResponseGenes, PlantOryzaQuantitative Trait LociSeedlingsChromosome MappingCold TemperatureGene Expression ProfilingGene Expression Regulation, PlantRNA-SeqSequence Analysis, RNACold toleranceIntegration analysisMeta-QTLRiceRNA-seq

Identifiers

PMID41618170
PMCPMC12931004

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LicenceCC BY-NC-ND
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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.