水稻苗期耐冷性Meta-QTL分析及候选基因预测
收稿日期: 2025-02-18
修回日期: 2025-04-16
网络出版日期: 2026-05-13
基金资助
国家重点研发计划项目资助(2024YFD2301303);黑龙江省农业科技创新跨越工程重大需求科技创新攻关项目(CX23ZD01);黑龙江省自然基金杰出青年基金资助项目(JQ2023C009);省属科研院所科研业务费专项(CZKYF2025-1-A004)
Meta-QTL Analysis and Prediction of Candidate Genes for Cold Tolerance at Seedling Stage in Rice
Received date: 2025-02-18
Revised date: 2025-04-16
Online published: 2026-05-13
【目的】挖掘鉴定耐冷基因进而选育耐冷品种是解决水稻低温冷害难题的最简单、直接和有效的手段之一。利用Meta-QTL分析可以有效整合不同遗传背景下控制水稻耐冷等农艺性状的基因位点，提高候选基因定位的精度和可靠性，为水稻耐冷基因的克隆和育种利用提供数据支撑。【方法】本研究收集并整理了38项独立研究中的353个水稻苗期耐冷相关QTL，利用BioMercator 4.2软件对QTL关键信息进行整合分析。并利用GO分析和KEGG分析对鉴定的Meta-QTL进行候选基因挖掘。【结果】共鉴定出了82个Meta-QTL，其中67个(81.71%)的置信区间小于1 Mb，共包含9282个注释基因，包括已报道的25个苗期耐冷基因。利用GO分析筛选出了99、230和119个分别与非生物逆境应答、环境胁迫反应和转录因子相关的基因。进一步利用KEGG富集筛选出27、69和9个分别与非生物逆境应答、胁迫反应和转录因子相关的差异显著性基因。【结论】对353个苗期耐冷QTL进行整合分析鉴定出82个苗期耐冷Meta-QTL，GO分析确定了448个候选基因，KEGG进一步确定了105个差异表达候选基因。上述结果为水稻苗期耐冷的分子标记辅助育种和基因克隆提供有用的信息。
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[J]. 中国水稻科学, 2026 , 40(3) : 312 -326 . DOI: 10.16819/j.1001-7216.2026.250207
【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.
Key words： rice; cold tolerance; QTL; Meta analysis; candidate gene
| [1] | 姜树坤. 寒地水稻低温冷害的致灾机理与减灾保产关键技术[M]. 哈尔滨: 黑龙江科学技术出版社, 2021: 55-58. |
| Jiang S K. Disaster mechanism of low temperature chilling injury of rice in cold region and key technologies for reducing disaster and ensuring yield[M]. Harbin: Heilongjiang Science and Technology Press, 2021: 55-58. (in Chinese) | |
| [2] | 徐敏, 徐经纬, 高苹, 于庚康, 单婵. 江苏水稻障碍型冷害时空变化特征及敏感性分析[J]. 气象, 2015, 41(11): 1367-1373. |
| Xu M, Xu J W, Gao P, Yu G K, Shan C. Analysis of spatiotemporal variation characteristics and sensitivity of rice sterile-type chilling injury in Jiangsu[J]. Meteorological Monthly, 2015, 41(11): 1367-1373. (in Chinese with English abstract) | |
| [3] | 张喜娟, 来永才, 曾山. 寒地水稻直播栽培机理与技术[M]. 北京: 中国农业出版社, 2018: 21-29. |
| Zhang X J, Lai Y C, Zeng S. Mechanism and technology of direct seeding cultivation of rice in cold region[M]. Beijing: China Agriculture Press, 2018: 21-29. (in Chinese) | |
| [4] | Zu X, Luo L, Wang Z, Gong J, Yang C, Wang Y, Xu C, Qiao X, Deng X, Song X, Chen C, Tan B C, Cao X. A mitochondrial pentatricopeptide repeat protein enhances cold tolerance by modulating mitochondrial superoxide in rice[J]. Nature Communications, 2023, 14(1): 6789. |
| [5] | Qian Q, Zeng D, He P, Zheng X, Chen Y, Zhu L. QTL analysis of the rice seedling cold tolerance in a double haploid population derived from anther culture of a hybrid between indica and japonica rice[J]. Chinese Science Bulletin, 2000, 45(5): 448-453. |
| [6] | Andaya V C, MacKill D J. Mapping of QTLs associated with cold tolerance during the vegetative stage in rice[J]. Journal of Experimental Botany, 2003, 54(392): 2579-2585. |
| [7] | 韩龙植, 张三元, 乔永利, 阮仁超, 张俊国, 曹桂兰, 高熙宗. 冷水胁迫下水稻幼苗期根系性状的QTL分析[J]. 作物学报, 2005, 31(11): 1415-1421. |
| Han L Z, Zhang S Y, Qiao Y L, Ruan R C, Zhang J G, Cao G L, Gao X Z. QTL analysis of root traits at the seedling stage in rice under cold water irrigation[J]. Acta Agronomica Sinica, 2005, 31(11): 1415-1421. (in Chinese) | |
| [8] | Lou Q, Chen L, Sun Z, Xing Y, Li J, Xu X, Mei H, Luo L. A major QTL associated with cold tolerance at seedling stage in rice (Oryza sativa L.)[J]. Euphytica, 2007, 158(1): 87-94. |
| [9] | Jiang L, Xun M, Wang J, Wan J. QTL analysis of cold tolerance at seedling stage in rice (Oryza sativa L.) using recombination inbred lines[J]. Journal of Cereal Science, 2008, 48(1): 173-179. |
| [10] | Suh J P, Lee C K, Lee J H, Kim J J, Kim S M, Cho Y C, Park S H, Shin J C, Kim Y G, Jena K K. Identification of quantitative trait loci for seedling cold tolerance using RILs derived from a cross between japonica and tropical japonica rice cultivars[J]. Euphytica, 2012, 184(1): 101-108. |
| [11] | Cheng L R, Wang J M, Uzokwe V, Meng L J, Wang Y, Sun Y, Zhu L H, Xu J L, Li Z K. Genetic analysis of cold tolerance at seedling stage and heat tolerance at anthesis in rice (Oryza sativa L.)[J]. Journal of Integrative Agriculture, 2012, 11(3): 359-367. |
| [12] | Goffinet B, Gerber S. Quantitative trait loci: A meta-analysis[J]. Genetics, 2000, 155(1): 463-473. |
| [13] | 郭书磊, 张君, 齐建双, 岳润清, 韩小花, 燕树锋, 卢彩霞, 傅晓雷, 陈娜娜, 库丽霞, 铁双贵. 玉米叶形相关性状的Meta-QTL及候选基因分析[J]. 植物学报, 2018, 53(4): 487-501. |
| Guo S L, Zhang J, Qi J S, Yue R Q, Han X H, Yan S F, Lu C X, Fu X L, Chen N N, Ku L X, Tie S G. Analysis of meta-quantitative trait loci and their candidate genes related to leaf shape in maize[J]. Chinese Bulletin of Botany, 2018, 53(4): 487-501. (in Chinese with English abstract) | |
| [14] | 江培顺, 张焕欣, 吕香玲, 郝转芳, 李博, 李明顺, 王宏伟, 慈晓科, 张世煌. 玉米产量相关性状Meta-QTL及候选基因分析[J]. 作物学报, 2013, 39(6): 969-978. |
| Jiang P S, Zhang H X, Lü X L, Hao Z F, Li B, Li M S, Wang H W, Ci X K, Zhang S H. Analysis of meta-QTL and candidate genes related to yield components in maize[J]. Acta Agronomica Sinica, 2013, 39(6): 969-978. (in Chinese) | |
| [15] | Yin Z, Qi H, Chen Q, Zhang Z, Jiang H, Zhu R, Hu Z, Wu X, Li C, Zhang Y, Liu C, Hu G, Xin D, Qi Z. Soybean plant height QTL mapping and meta-analysis for mining candidate genes[J]. Plant Breeding, 2017, 136(5): 688-698. |
| [16] | Gong Q C, Yu H X, Mao X R, Qi H D, Shi Y, Xiang W, Chen Q S, Qi Z M. Meta-analysis of soybean amino acid QTLs and candidate gene mining[J]. Journal of Integrative Agriculture, 2018, 17(5): 1074-1084. |
| [17] | Courtois B, Ahmadi N, Khowaja F, Price A H, Rami J F, Frouin J, Hamelin C, Ruiz M. Rice root genetic architecture: Meta-analysis from a drought QTL database[J]. Rice, 2009, 2(2): 115-128. |
| [18] | Tian T, Chen L, Ai Y, He H. Selection of candidate genes conferring blast resistance and heat tolerance in rice through integration of meta-QTLs and RNA-seq[J]. Genes, 2022, 13(2): 224. |
| [19] | 邱红梅, 厉志, 于妍, 高淑芹, 马晓萍, 郑宇宏, 孟凡凡, 侯云龙, 王跃强. 基于元分析的大豆含硫氨基酸相关基因挖掘与信息学分析[J]. 中国油料作物学报, 2015, 37(2): 141-147. |
| Qiu H M, Li Z, Yu Y, Gao S Q, Ma X P, Zheng Y H, Meng F F, Hou Y L, Wang Y Q. Mining and analysis of genes related to sulfur-containing amino acids in soybean based on Meta-QTL[J]. Chinese Journal of Oil Crop Sciences, 2015, 37(2): 141-147. (in Chinese) | |
| [20] | 刘鑫, 甄善继, 王家军, 王洋. 大豆根长QTL的Meta分析及候选基因挖掘[J]. 大豆科学, 2023, 42(1): 32-40. |
| Liu X, Zhen S J, Wang J J, Wang Y. Meta-analysis and candidate gene mining of soybean root length QTLs[J]. Soybean Science, 2023, 42(1): 32-40. (in Chinese with English abstract) | |
| [21] | Darvasi A, Soller M. A simple method to calculate resolving power and confidence interval of QTL map location[J]. Behavior Genetics, 1997, 27(2): 125-132. |
| [22] | Guo B, Sleper D A, Lu P, Shannon J G, Nguyen H T, Arelli P R. QTLs associated with resistance to soybean cyst nematode in soybean meta-analysis of QTL locations: Retraction[J]. Crop Science, 2006, 46(1): 202. |
| [23] | Courtois B, Ahmadi N, Khowaja F, Price A H, Rami J F, Frouin J, Hamelin C, Ruiz M. Rice root genetic architecture: Meta-analysis from a drought QTL database[J]. Rice, 2009, 2(2): 115-128. |
| [24] | 田甜, 陈丽娟, 何华勤. 基于Meta-QTL和RNA-seq的整合分析挖掘水稻抗稻瘟病候选基因[J]. 作物学报, 2022(6): 1372-1388. |
| Tian T, Chen L J, He H Q. Identification of rice blast resistance candidate genes based on integrating Meta-QTL and RNA-seq analysis[J]. Acta Agronomica Sinica, 2022(6): 1372-1388. (in Chinese with English abstract) | |
| [25] | Ashburner M, Ball C A, Blake J A, Botstein D, Butler H, Cherry J M, Davis A P, Dolinski K, Dwight S S, Eppig J T, Harris M A, Hill D P, Issel-Tarver L, Kasarskis A, Lewis S, Matese J C, Richardson J E, Ringwald M, Rubin G M, Sherlock G. Gene Ontology: Tool for the unification of biology[J]. Nature Genetics, 2000, 25(1): 25-29. |
| [26] | 屈婷婷, 陈立艳, 章志宏, 胡中立, 李平, 朱立煌, 朱英国. 水稻籼粳交DH群体苗期耐冷性基因的分子标记定位[J]. 武汉植物学研究, 2003, 21(5): 385-389. |
| Qu T T, Chen L Y, Zhang Z H, Hu Z L, Li P, Zhu L H, Zhu Y G. Molecular mapping of genes conferring cold tolerance at seedling stage using doubled haploid lines from an indica-Japonica cross in rice[J]. Journal of Wuhan Botanical Research, 2003, 21(5): 385-389. (in Chinese with English abstract) | |
| [27] | 胡莹, 王奕众. 水稻RIL群体苗期耐冷性QTL分析[J]. 武汉植物学研究, 2005, 23(3): 211-215. |
| Hu Y, Wang Y Z. Mapping of QTL controlling seedling cold tolerance using recombinant inbred lines of rice (Oryza sativa L.)[J]. Journal of Wuhan Botanical Research, 2005, 23(3): 211-215. (in Chinese) | |
| [28] | 吴杏春, 王茵, 林文雄. 水稻苗期耐冷性状的QTL分析[J]. 中国生态农业学报, 2008, 16(4): 1067-1069. |
| Wu X C, Wang Y, Lin W X. QTL mapping in controlling seedling cold tolerance in rice (Oryza sativa L.)[J]. Chinese Journal of Eco-Agriculture, 2008, 16(4): 1067-1069. (in Chinese) | |
| [29] | 刘晓, 巩迎军, 董彦君, 林冬枝. 一个水稻苗期耐冷性的主效QTL精细定位研究[J]. 中国农学通报, 2009, 25(22): 62-66. |
| Liu X, Gong Y J, Dong Y J, Lin D Z. Study on fine mapping of a major QTL for cold tolerance at seedling stage of rice[J]. Chinese Agricultural Science Bulletin, 2009, 25(22): 62-66. (in Chinese with English abstract) | |
| [30] | 夏瑞祥, 肖宁, 洪义欢, 张超, 苏琰, 张小蒙, 陈建民. 东乡野生稻苗期耐冷性的QTL定位[J]. 中国农业科学, 2010, 43(3): 443-451. |
| Xia R X, Xiao N, Hong Y H, Zhang C, Su Y, Zhang X M, Chen J M. QTLs mapping for cold tolerance at seedling stage in Dongxiang wild rice (Oryza rufipogon Griff.)[J]. Scientia Agricultura Sinica, 2010, 43(3): 443-451. (in Chinese with English abstract) | |
| [31] | 姜树坤, 张喜娟, 姜辉, 孙世臣, 洛育, 白良明, 徐正进, 张凤鸣. 水稻苗期抗冷QTL的检测[J]. 沈阳农业大学学报, 2011, 42(6): 654-657. |
| Jiang S K, Zhang X J, Jiang H, Sun S C, Luo Y, Bai L M, Xu Z J, Zhang F M. Detection of QTLs for cold tolerance at seedling stage in rice[J]. Journal of Shenyang Agricultural University, 2011, 42(6): 654-657. (in Chinese) | |
| [32] | Liu F, Xu W, Song Q, Tan L, Liu J, Zhu Z, Fu Y, Su Z, Sun C. Microarray-assisted fine-mapping of quantitative trait loci for cold tolerance in rice[J]. Molecular Plant, 2013, 6(3): 757-767. |
| [33] | Zhang S, Zheng J, Liu B, Peng S, Leung H, Zhao J, Wang X, Yang T, Huang Z. Identification of QTLs for cold tolerance at seedling stage in rice (Oryza sativa L.) using two distinct methods of cold treatment[J]. Euphytica, 2014, 195(1): 95-104. |
| [34] | Ranawake A L, Manangkil O E, Yoshida S, Ishii T, Mori N, Nakamura C. Mapping QTLs for cold tolerance at germination and the early seedling stage in rice (Oryza sativa L.)[J]. Biotechnology & Biotechnological Equipment, 2014, 28(6): 989-998. |
| [35] | Kim S M, Suh J P, Lee C K, Lee J H, Kim Y G, Jena K K. QTL mapping and development of candidate gene-derived DNA markers associated with seedling cold tolerance in rice (Oryza sativa L.)[J]. Molecular Genetics and Genomics, 2014, 289(3): 333-343. |
| [36] | Verma S K, Xalxo M S, Saxena R R, Verulkar S B. Identification of QTLs for cold tolerance at seedling stage in rice (Oryza sativa L.)[J]. Indian Journal of Genetics and Plant Breeding (the), 2014, 74(1): 86. |
| [37] | Liu W Q, Lu T T, Li Y C, Pan X W, Duan Y H, Min J, Fu X Q, Sheng X N, Xiao J Z, Liu S X, Tan J, Yao Y, Li X X. Mapping of quantitative trait loci for cold tolerance at the early seedling stage in landrace rice Xiang 743[J]. Euphytica, 2015, 201(3): 401-409. |
| [38] | Mao D, Yu L, Chen D, Li L, Zhu Y, Xiao Y, Zhang D, Chen C. Multiple cold resistance loci confer the high cold tolerance adaptation of Dongxiang wild rice (Oryza rufipogon) to its high-latitude habitat[J]. Theoretical and Applied Genetics, 2015, 128(7): 1359-1371. |
| [39] | 彭强, 张大双, 吴健强, 王际凤, 黄培英, 朱速松. 水稻苗期耐冷性的QTL定位分析[J]. 贵州农业科学, 2015, 43(5): 11-13, 18. |
| Peng Q, Zhang D S, Wu J Q, Wang J F, Huang P Y, Zhu S S. QTL analysis of cold-tolerance at seedling stage in rice[J]. Guizhou Agricultural Sciences, 2015, 43(5): 11-13, 18. (in Chinese with English abstract) | |
| [40] | Luo X D, Zhao J, Dai L F, Zhang F T, Zhou Y, Wan Y, Xie J K. Linkage map construction and QTL mapping for cold tolerance in Oryza rufipogon Griff. at early seedling stage[J]. Journal of Integrative Agriculture, 2016, 15(12): 2703-2711. |
| [41] | Biswas P S, Khatun H, Das N, Sarker M M, Anisuzzaman M. Mapping and validation of QTLs for cold tolerance at seedling stage in rice from an indica cultivar Habiganj Boro VI (Hbj.BVI)[J]. 3 Biotech, 2017, 7(6): 359. |
| [42] | Yu S, Li M, Xiao Y, Huang D, Chen D. Mapping QTLs for cold tolerance at seedling stage using an Oryza sativa × O. rufipogon backcross inbred line population[J]. Czech Journal of Genetics and Plant Breeding, 2018, 54(2): 59-64. |
| [43] | 吴爱婷, 宋佳谕, 胡涛, 刘思彤, 高继平, 黄丽湘, 高银隆, 赵明辉. 超级稻沈农265苗期耐冷性QTL定位[J]. 核农学报, 2018, 32(8): 1477-1482. |
| Wu A T, Song J Y, Hu T, Liu S T, Gao J P, Huang L X, Gao Y L, Zhao M H. QTLs mapping for cold tolerance at seedling stage in super rice variety Shennong 265[J]. Journal of Nuclear Agricultural Sciences, 2018, 32(8): 1477-1482. (in Chinese) | |
| [44] | Deng X, Gan L, Liu Y, Luo A, Jin L, Chen J, Tang R, Lei L, Tang J, Zhang J, Zhao Z. Locating QTLs controlling overwintering seedling rate in perennial glutinous rice 89-1 (Oryza sativa L.)[J]. Genes & Genomics, 2018, 40(12): 1351-1361. |
| [45] | Li L, Mao D. Deployment of cold tolerance loci from Oryza sativa ssp. japonica cv. ‘Nipponbare’ in a high-yielding Indica rice cultivar ‘93-11’[J]. Plant Breeding, 2018, 137(4): 553-560. |
| [46] | Das N, Alam N, Hossain K, Biswas P S. Mapping quantitative trait loci for cold tolerance in rice at seedling stage[J]. Bangladesh Journal of Botany, 2020, 48(4): 1021-1028. |
| [47] | 王棋, 范淑秀, 郭江华, 陈兆赫, 梁银培, 刘振宇, 殷业超, 王嘉宇. 利用籼粳交RIL群体对水稻发芽期和苗期耐冷性的QTL分析[J]. 华北农学报, 2019, 34(1): 83-88. |
| Wang Q, Fan S X, Guo J H, Chen Z H, Liang Y P, Liu Z Y, Yin Y C, Wang J Y. QTL analysis of cold tolerance at germination and seedling stages of rice[J]. Acta Agriculturae Boreali-Sinica, 2019, 34(1): 83-88. (in Chinese) | |
| [48] | Liu H, Yang L, Xu S, Lü M J, Wang J, Wang H, Zheng H, Xin W, Liu J, Zou D. OsWRKY115 on qCT7 links to cold tolerance in rice[J]. Theoretical and Applied Genetics, 2022, 135(7): 2353-2367. |
| [49] | Guo Z, Yao J, Cheng Y, Zhang W, Xu Z, Li M, Huang J, Ma D, Zhao M. Identification of QTL under brassinosteroid-combined cold treatment at seedling stage in rice using genotyping-by-sequencing (GBS)[J]. Plants, 2022, 11(17): 2324. |
| [50] | Shi H, Zhang W, Cao H, Zhai L, Song Q, Xu J. Identification of candidate genes for cold tolerance at seedling stage by GWAS in rice (Oryza sativa L.)[J]. Biology, 2024, 13(10): 784. |
| [51] | 杨传铭, 王立志, 张喜娟, 杨贤莉, 王洋洋, 侯本福, 崔士泽, 李青超, 刘凯, 马瑞, 冯延江, 来永才, 李红宇, 姜树坤. 基于高密度遗传图谱的粳稻苗期耐冷QTL分析[J]. 中国水稻科学, 2025, 39(1): 82-91. |
| Yang C M, Wang L Z, Zhang X J, Yang X L, Wang Y Y, Hou B F, Cui S Z, Li Q C, Liu K, Ma R, Feng Y J, Lai Y C, Li H Y, Jiang S K. Analysis of QTL controlling cold tolerance at seedling stage by using a high-density SNP linkage map in Japonica rice[J]. Chinese Journal of Rice Science, 2025, 39(1): 82-91. (in Chinese with English abstract) | |
| [52] | Singh G, Pradhan A K, Das Jyoti S, Harper C L, Elumalai P, Sanchez D L, Samonte S O P, Talukder S K. Deciphering the genomic regions associated with seedling cold tolerance traits in rice (Oryza sativa L.)[J]. Plant Stress, 2025, 15: 100707. |
| [53] | Islam M S, Ontoy J, Subudhi P K. Meta-analysis of quantitative trait loci associated with seedling-stage salt tolerance in rice (Oryza sativa L.)[J]. Plants, 2019, 8(2): 33. |
| [54] | Xiong D, Wang J, Wang R, Wang Y, Li Y, Sun G, Yao S. A point mutation in VIG1 boosts development and chilling tolerance in rice[J]. Nature Communications, 2024, 15(1): 8212. |
| [55] | Wu J, Liu H, Zhang Y, Zhang Y, Li D, Liu S, Lu S, Wei L, Hua J, Zou B. A major gene for chilling tolerance variation in Indica rice codes for a kinase OsCTK1 that phosphorylates multiple substrates under cold[J]. The New Phytologist, 2024, 242(5): 2077-2092. |
| [56] | Shi Y, Phan H, Liu Y, Cao S, Zhang Z, Chu C, Schläppi M R. Glycosyltransferase OsUGT90A1 helps protect the plasma membrane during chilling stress in rice[J]. Journal of Experimental Botany, 2020, 71(9): 2723-2739. |
| [57] | Guo X, Zhang D, Wang Z, Xu S, Batistič O, Steinhorst L, Li H, Weng Y, Ren D, Kudla J, Xu Y, Chong K. Cold-induced calreticulin OsCRT3 conformational changes promote OsCIPK7 binding and temperature sensing in rice[J]. The EMBO Journal, 2023, 42(1): e110518. |
| [58] | Byun M Y, Cui L H, Oh T K, Jung Y J, Lee A, Park K Y, Kang B G, Kim W T. Homologous U-box E3 ubiquitin ligases OsPUB2 and OsPUB3 are involved in the positive regulation of low temperature stress response in rice (Oryza sativa L.)[J]. Frontiers in Plant Science, 2017, 8: 16. |
| [59] | Khan M I R, Kumari S, Nazir F, Khanna R R, Gupta R, Chhillar H. Defensive role of plant hormones in advancing abiotic stress-resistant rice plants[J]. Rice Science, 2023, 30(1): 15-35. |
| [60] | Chen M, Presting G, Barbazuk W B, Goicoechea J L, Blackmon B, Fang G, Kim H, Frisch D, Yu Y, Sun S, Higingbottom S, Phimphilai J, Phimphilai D, Thurmond S, Gaudette B, Li P, Liu J, Hatfield J, Main D, Farrar K, Henderson C, Barnett L, Costa R, Williams B, Walser S, Atkins M, Hall C, Budiman M A, Tomkins J P, Luo M, Bancroft I, Salse J, Regad F, Mohapatra T, Singh N K, Tyagi A K, Soderlund C, Dean R A, Wing R A. An integrated physical and genetic map of the rice genome[J]. The Plant Cell, 2002, 14(3): 537-545. |
| [61] | Chaikam V, Karlson D T. Response and transcriptional regulation of rice SUMOylation system during development and stress conditions[J]. BMB Reports, 2010, 43(2): 103-109. |
| [62] | Miura K, Ohta M. SIZ1, a small ubiquitin-related modifier ligase, controls cold signaling through regulation of salicylic acid accumulation[J]. Journal of Plant Physiology, 2010, 167(7): 555-560. |
| [63] | Hossain M A, Cho J I, Han M, Ahn C H, Jeon J S, An G, Park P B. The ABRE-binding bZIP transcription factor OsABF2 is a positive regulator of abiotic stress and ABA signaling in rice[J]. Journal of Plant Physiology, 2010, 167(17): 1512-1520. |
| [64] | Liu X, Hu Q, Yan J, Sun K, Liang Y, Jia M, Meng X, Fang S, Wang Y, Jing Y, Liu G, Wu D, Chu C, Smith S M, Chu J, Wang Y, Li J, Wang B. ζ-carotene isomerase suppresses tillering in rice through the coordinated biosynthesis of strigolactone and abscisic acid[J]. Molecular Plant, 2020, 13(12): 1784-1801. |
/
| 〈 |
|
〉 |