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Meta-QTL Analysis and Prediction of Candidate Genes for Cold Tolerance at Seedling Stage in Rice
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Yangyang WANG1, 2, Chuanming YANG1, 2, Xijuan ZHANG2, 4, Xianli YANG2, 4, Lizhi WANG2, 4, Shize CUI2, 4, Xinkai XU1, 2, Hongyu LI1, Shukun JIANG2, 3, 4
Chinese Journal of Rice Science | 2026, 40(3) : 312 - 326
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Chinese Journal of Rice Science | 2026, 40(3): 312-326
• Research Papers •
Meta-QTL Analysis and Prediction of Candidate Genes for Cold Tolerance at Seedling Stage in Rice
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Yangyang WANG1, 2, Chuanming YANG1, 2, Xijuan ZHANG2, 4, Xianli YANG2, 4, Lizhi WANG2, 4, Shize CUI2, 4, Xinkai XU1, 2, Hongyu LI1, Shukun JIANG2, 3, 4
Affiliations
  • 1Agricultural College, Heilongjiang Bayi Agricultural University, Daqing 163319, China
  • 2Crop Cultivation and Tillage Institute, Heilongjiang Academy of Agricultural Sciences/Heilongjiang Provincial Key Laboratory of Crop Physiology and Ecology in Cold Region/Heilongjiang Provincial Engineering Technology Research Center of Crop Cold Damage, Harbin 150086, China
  • 3Qiqihar Branch of Heilongjiang Academy of Agricultural Sciences/Heilongjiang Provincial Engineering Technology Research Center of Crop Germplasm Resources Innovation and Utilization in Songnen Plain, Qiqihar 161006, China
  • 4Northeast Center of National Salt-Alkali Tolerant Rice Technology Innovation Center, Harbin 150086, China
Published: 2026-05-10 doi: 10.16819/j.1001-7216.2026.250207
Outline
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【Objective】

Low-temperature stress poses a significant threat to rice production, and the development of cold-tolerant varieties through the identification of cold resistance-related genes represents a critical strategy to address this challenge. Meta-QTL analysis offers a powerful approach to integrate quantitative trait loci governing complex agronomic traits, such as cold tolerance, across diverse genetic backgrounds. By improving the precision and reliability of candidate gene localization, this method provides a robust foundation for the cloning and breeding application of cold tolerance genes in rice.

【Methods】

We conducted a comprehensive meta-analysis of 353 quantitative trait loci (QTLs) associated with cold tolerance at the seedling stage, derived from 38 independent studies. These QTLs were integrated using BioMercator 4.2, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to identify candidate genes within the Meta-QTL regions.

【Results】

A total of 82 Meta-QTLs were identified, of which 67 (81.71%) had confidence intervals of less than 1 Mb. These regions encompassed 9282 annotated genes, including 25 previously reported genes associated with cold tolerance at the seedling stage. GO analysis revealed 99, 230, and 119 genes associated with abiotic stress response, environmental stress response, and transcription factors, respectively. KEGG enrichment analysis further identified 27, 69, and 9 significantly enriched genes related to abiotic stress response, stress response, and transcription factors, respectively.

【Conclusion】

Through the integration and analysis of 353 QTLs related to cold tolerance at the seedling stage, 82 Meta-QTLs were identified. GO analysis pinpointed 448 candidate genes, while KEGG analysis further refined this list to 105 differentially enriched candidate genes. These findings provide valuable insights for molecular marker-assisted breeding and gene cloning for cold tolerance at the rice seedling stage.

rice  /  cold tolerance  /  QTL  /  Meta analysis  /  candidate gene
王洋洋, 杨传铭, 张喜娟, 杨贤莉, 王立志, 崔士泽, 许鑫凯, 李红宇, 姜树坤. 水稻苗期耐冷性Meta-QTL分析及候选基因预测. 中国水稻科学, 2026 , 40 (3) : 312 -326 . DOI: 10.16819/j.1001-7216.2026.250207
Yangyang WANG, Chuanming YANG, Xijuan ZHANG, Xianli YANG, Lizhi WANG, Shize CUI, Xinkai XU, Hongyu LI, Shukun JIANG. Meta-QTL Analysis and Prediction of Candidate Genes for Cold Tolerance at Seedling Stage in Rice[J]. Chinese Journal of Rice Science, 2026 , 40 (3) : 312 -326 . DOI: 10.16819/j.1001-7216.2026.250207
Year 2026 volume 40 Issue 3
95
23
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Article Info
doi: 10.16819/j.1001-7216.2026.250207
  • Receive Date:2025-02-18
  • Online Date:2026-09-17
  • Published:2026-05-10
Article Data
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History
  • Received:2025-02-18
  • Revised:2025-04-16
Funding
Affiliations
    1Agricultural College, Heilongjiang Bayi Agricultural University, Daqing 163319, China
    2Crop Cultivation and Tillage Institute, Heilongjiang Academy of Agricultural Sciences/Heilongjiang Provincial Key Laboratory of Crop Physiology and Ecology in Cold Region/Heilongjiang Provincial Engineering Technology Research Center of Crop Cold Damage, Harbin 150086, China
    3Qiqihar Branch of Heilongjiang Academy of Agricultural Sciences/Heilongjiang Provincial Engineering Technology Research Center of Crop Germplasm Resources Innovation and Utilization in Songnen Plain, Qiqihar 161006, China
    4Northeast Center of National Salt-Alkali Tolerant Rice Technology Innovation Center, Harbin 150086, China

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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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