基于高密度Bin图谱的水稻苗期耐热性QTL定位

doi:10.11983/CBB24047

植物学报 ›› 2025, Vol. 60 ›› Issue (3): 342-353.DOI: 10.11983/CBB24047 cstr: 32102.14.CBB24047

基于高密度Bin图谱的水稻苗期耐热性QTL定位

赵凌¹, 管菊¹, 梁文化¹, 张勇², 路凯¹, 赵春芳¹, 李余生¹, 张亚东¹^,^*()

¹ 江苏省农业科学院粮食作物研究所, 国家水稻改良中心南京分中心, 国家耐盐碱水稻技术创新中心华东中心, 江苏省优质水稻工程技术研究中心, 南京 210014
² 江苏省农业科学院无锡分院生物育种研究室, 无锡 214000

收稿日期:2024-03-28 接受日期:2024-05-27 出版日期:2025-05-10 发布日期:2024-05-30
通讯作者: 张亚东
基金资助:
江苏省种业振兴“揭榜挂帅”项目(No.JBGS(2021);江苏省种业振兴“揭榜挂帅”项目(No.JBGS(040)

Mapping of QTLs for Heat Tolerance at the Seedling Stage in Rice Based on a High-density Bin Map

Zhao Ling¹, Guan Ju¹, Liang Wenhua¹, Zhang Yong², Lu Kai¹, Zhao Chunfang¹, Li Yusheng¹, Zhang Yadong¹^,^*()

¹ Jiangsu High Quality Rice Research & Development Center, East China Branch of National Center of Technology Innovation for Saline-Alkali Tolerant Rice, Nanjing Branch of China National Center for Rice Improvement, Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
² Biological Breeding Research Laboratory, Wuxi Branch of Jiangsu Academy of Agricultural Sciences, Wuxi 214000, China

Received:2024-03-28 Accepted:2024-05-27 Online:2025-05-10 Published:2024-05-30
Contact: Zhang Yadong

摘要/Abstract

摘要： 鉴定控制水稻(Oryza sativa)高温耐性的新位点和候选基因, 可为耐热遗传育种提供理论支撑, 具有重要的实践意义。利用粳稻(O. sativa subsp. japonica)品种TD70和籼稻(O. sativa subsp. indica)品种Kasalath衍生的重组自交系(RILs)群体为研究材料, 构建基于深度重测序的高密度Bin遗传图谱; 使用QTL IciMappingv软件基于完备复合区间作图法对水稻苗期高温胁迫下的幼苗存活率进行QTLs分析。共检测到26个控制苗期耐热性QTLs, 分布在除第3号染色体外的11条染色体上, LOD值为2.59-16.15, 其中4个QTLs的LOD值大于10, 7个QTLs与已知高温耐性QTLs的位置存在重叠或者部分重叠, 其主效QTL位点qHTSR5.2位于第5号染色体26.25-26.38 Mb区间, LOD值为16.15, 解释7.18%的表型贡献率。对4个主效QTLs区间进行基因功能注释和亲本间序列分析, 共发现27个注释有功能且在2个亲本间编码区存在非同义突变的基因。根据候选基因SNP的类型对RILs群体家系进行基因等位型分类和效应分析, 发现5个基因不同等位型的RILs群体家系高温处理后的幼苗存活率存在显著差异, 推测可能为候选基因, 可用于后续水稻高温耐性的分子机理研究。

关键词: 耐热性, 高密度Bin图谱, QTL定位, 水稻, 苗期

Abstract: INTRODUCTION: As the main grain crop, rice plays an important role in ensuring food security of China. Rise in global average temperature is detrimental to crop yield and heat stress is currently one of the major abiotic threats on rice production. There are significant variations in heat tolerance among different rice varieties. As a typical quantitative trait, heat tolerance of rice is controlled by multiple genes. Identification of new QTLs and genes related to heat tolerance is very important for the genetic research and the breeding of new heat-tolerant rice varieties. RATIONALE:In recent years, many heat tolerant QTLs had been identified with different genetic populations and evaluation indicators at different growth stages. Most of those QTLs were mapped in large intervals due to the limited population sizes, simplified experimental designs and inaccurately controlled environments. The heat tolerance level identification in a population is very difficult for mature plants. Therefore, we developed a population of recombinant inbred lines (RILs) with 186 lines derived from japonica rice TD70 and indica rice Kasalath, which showed large variations in seedling survival rates under high temperature stress (HTSR). QTLs associated with HTSR were mapped by the high-density linkage Bin-map and candidate genes were identified. RESULTS:Twenty-six QTLs related to the HTSR were mapped on 11 of the 12 chromosomes, with the exception of 3. The LOD values of single QTL ranged from 2.59-16.15, four of which with LOD values greater than 10. Seven QTLs were located within the same interval or adjacent to known heat tolerance QTLs. The major locus of qHTSR5.2 was located in the 26.25-26.38 Mb region of Chr. 5 with an LOD value of 12.07, which explained 7.18% of the total phenotypic variation in the HTSR. According to the annotation and sequence analysis of the genes located in the region of four major QTLs,we found that twenty-seven annotated genes with non-synonymous mutations in the coding regions between TD70 and Kasalath. Five of them were identified as potential candidate genes because the RILs sharing each of the distinct haplotypes of their parents for each gene exhibited significant different HTSR resistance level. Among them, three candidate genes encode heat shock proteins HSP20 or HSP17.5. CONCLUSION: We detected 26 QTLs controlling seedling heat tolerance based on a high-density Bin map in a RIL population. Some of the QTLs were overlapped with known heat tolerance loci, indicating their strong effects on regulating heat tolerance of rice. Five candidate genes were identified through gene annotation, parental sequence comparison, effect analysis of heat tolerance between RILs with different haplotypes. The candidate genes identified in our study could be used for molecular mechanism research on high temperature tolerance of rice in the future.

Mapping of QTL for heat tolerance at seedling stage in rice based on a high-density Bin map. Heat tolerance of parents and RILs population during seedling stage. Location of QTLs contributing to heat tolerance at seedling stage.

Key words: heat tolerance, high-density Bin map, QTL mapping, rice, seedling stage

赵凌, 管菊, 梁文化, 张勇, 路凯, 赵春芳, 李余生, 张亚东. 基于高密度Bin图谱的水稻苗期耐热性QTL定位. 植物学报, 2025, 60(3): 342-353.

Zhao Ling, Guan Ju, Liang Wenhua, Zhang Yong, Lu Kai, Zhao Chunfang, Li Yusheng, Zhang Yadong. Mapping of QTLs for Heat Tolerance at the Seedling Stage in Rice Based on a High-density Bin Map. Chinese Bulletin of Botany, 2025, 60(3): 342-353.

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链接本文: https://www.chinbullbotany.com/CN/10.11983/CBB24047

https://www.chinbullbotany.com/CN/Y2025/V60/I3/342

图/表 6

参考文献 60

[1]	曹志斌, 李瑶, 曾博虹, 毛凌华, 蔡耀辉, 吴晓峰, 袁林峰 (2020). 非洲栽培稻垩白粒率耐热性QTL的定位. 中国水稻科学 34, 135-142.
[2]	郭虹霞, 王创云, 赵丽, 王陆军, 张丽光, 邓妍 (2019). 水稻中2个小分子热激蛋白基因启动子的序列分析及功能鉴定. 西北农业学报 28, 1079-1086.
[3]	郝立生, 马宁, 何丽烨 (2022). 2022年长江中下游夏季异常干旱高温事件之环流异常特征. 干旱气象 40, 721-732.
[4]	胡时开, 钱前 (2016). RNA解旋酶调控rRNA内稳态: 水稻耐热新机制、分子育种新资源. 植物学报 51, 283-286.
[5]	阚义, 林鸿宣 (2022). 水稻高温感知及响应机制的研究进展. 自然杂志 44, 411-421.
[6]	奎丽梅, 谭禄宾, 涂建, 卢义宣, 孙传清 (2008). 云南元江野生稻抽穗开花期耐热QTL定位. 农业生物技术学报 16, 461-464.
[7]	李林浩 (2023). 基于Meta-QTL和RNA-seq的整合分析挖掘水稻持续耐高温候选基因. 硕士论文. 荆州: 长江大学. pp. 26-30.
[8]	栗振义, 龙瑞才, 张铁军, 杨青川, 康俊梅 (2016). 植物热激蛋白研究进展. 生物技术通报 32(2), 7-13.
[9]	刘进, 崔迪, 余丽琴, 张立娜, 周慧颖, 马小定, 胡佳晓, 韩冰, 韩龙植, 黎毛毛 (2022a). 水稻苗期耐热种质资源筛选及QTL定位. 中国水稻科学 36, 259-268.
[10]	刘进, 胡佳晓, 马小定, 陈武, 勒思, Sumin J, 崔迪, 周慧颖, 张立娜, Dongjin S, 黎毛毛, 韩龙植, 余丽琴 (2022b). 水稻RIL群体高密度遗传图谱的构建及苗期耐热性QTL定位. 中国农业科学 55, 4327-4341.
[11]	盘毅, 陈立云, 肖应辉 (2008). 水稻耐热遗传育种及热激蛋白的研究综述. 作物研究 22(S1), 363-367.
[12]	盘毅, 罗丽华, 邓化冰, 张桂莲, 唐文邦, 陈立云, 肖应辉 (2011). 水稻开花期高温胁迫下的花粉育性QTL定位. 中国水稻科学 25, 99-102.
[13]	沈泓, 姚栋萍, 吴俊, 罗秋红, 吴志鹏, 雷东阳, 邓启云, 柏斌 (2022). 灌浆期不同时段高温对稻米淀粉理化特性的影响. 中国水稻科学 36, 377-387.
[14]	宋有金, 吴超, 李子煜, 唐设, 李刚华, 王绍华, 丁艳锋 (2021). 水稻产量对生殖生长阶段不同时期高温的响应差异. 中国水稻科学 35, 177-186.
[15]	陶磊 (2020). 水稻开花期耐高温QTL分析及精细定位. 硕士论文. 成都: 四川农业大学. pp. 25-27.
[16]	王建康 (2009). 数量性状基因的完备区间作图方法. 作物学报 35, 239-245.
[17]	魏昭然 (2020). 水稻苗期高温关键候选位点鉴定. 硕士论文. 泰安: 山东农业大学. pp. 21-23.
[18]	杨飞 (2020). 水稻灌浆期耐热性及主要农艺性状的全基因组关联分析. 硕士论文. 武汉: 华中农业大学. pp. 27-29.
[19]	杨军, 章毅之, 贺浩华, 李迎春, 陈小荣, 边建民, 金国花, 李翔翔, 黄淑娥 (2020). 水稻高温热害的研究现状与进展. 应用生态学报 31, 2817-2830.
[20]	杨梯丰, 刘斌 (2009). 水稻耐热性QTL鉴定的研究进展. 广东农业科学 (6), 16-20.
[21]	俞佳虹, 冯坤, 程远, 叶青静, 阮美颖, 王荣青, 李志邈, 周国治, 姚祝平, 魏家香, 杨悦俭, 万红建 (2017). 植物小热激蛋白的研究进展. 分子植物育种 15, 3016-3023.
[22]	张涛, 杨莉, 蒋开锋, 黄敏, 孙群, 陈温福, 郑家奎 (2008). 水稻抽穗扬花期耐热性的QTL分析. 分子植物育种 6, 867-873.
[23]	张亚东, 梁文化, 赫磊, 赵春芳, 朱镇, 陈涛, 赵庆勇, 赵凌, 姚姝, 周丽慧, 路凯, 王才林 (2021). 水稻RIL群体高密度遗传图谱构建及粒型QTL定位. 中国农业科学 54, 5163-5176.
[24]	赵凌, 张勇, 魏晓东, 梁文化, 赵春芳, 周丽慧, 姚姝, 王才林, 张亚东 (2022). 利用高密度Bin图谱定位水稻抽穗期剑叶叶绿素含量QTL. 中国农业科学 55, 825-836.
[25]	朱昌兰, 江玲, 张文伟, 王春明, 翟虎渠, 万建民 (2006). 稻米直链淀粉含量和胶稠度对高温耐性的QTL分析. 中国水稻科学 20, 248-252.
[26]	朱昌兰, 肖应辉, 王春明, 江玲, 翟虎渠, 万建民 (2005). 水稻灌浆期耐热害的数量性状基因位点分析. 中国水稻科学 19, 117-121.
[27]	Bauer D, Meinhold S, Jakob RP, Stigler J, Merkel U, Maier T, Rief M, Žoldák G (2018). A folding nucleus and minimal ATP binding domain of HSP70 identified by single-molecule force spectroscopy. Proc Natl Acad Sci USA 115, 4666-4671.
[28]	Cao ZB, Li Y, Tang HW, Zeng BH, Tang XY, Long QZ, Wu XF, Cai YH, Yuan LF, Wan JL (2020). Fine mapping of the qHTB1-1 QTL, which confers heat tolerance at the booting stage, using an Oryza rufipogon Griff. introgression line. Theor Appl Genet 133, 1161-1175.
[29]	Chen L, Wang Q, Tang MY, Zhang XL, Pan YH, Yang XH, Gao GQ, Lv RH, Tao W, Jiang LG, Liang TF (2021). QTL mapping and identification of candidate genes for heat tolerance at the flowering stage in rice. Front Genet 11, 621871.
[30]	Chen XG, Chen S (2018). China feels the heat: negative impacts of high temperatures on China's rice sector. Aust J Agric Resour Econ 62, 576-588.
[31]	Haq ul S, Khan A, Ali M, Khattak AM, Gai WX, Zhang HX, Wei AM, Gong ZH (2019). Heat shock proteins: dynamic biomolecules to counter plant biotic and abiotic stresses. Int J Mol Sci 20, 5321.
[32]	IPCC (2021). Climate Change 2021:The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. pp. 199-200.
[33]	Jacob P, Hirt H, Bendahmane A (2017). The heat-shock protein/chaperone network and multiple stress resistance. Plant Biotechnol J 15, 405-414.
[34]	Jagadish SVK, Cairns J, Lafitte R, Wheeler TR, Price AH, Craufurd PQ (2010). Genetic analysis of heat tolerance at anthesis in rice. Crop Sci 50, 1633-1641.
[35]	Kan Y, Mu XR, Zhang H, Gao J, Han JX, Ye WW, Lin HX (2022). TT2 controls rice thermotolerance through SCT1- dependent alteration of wax biosynthesis. Nat Plants 8, 53-67.
[36]	Kanegae H, Miyoshi K, Hirose T, Tsuchimoto S, Mori M, Nagato Y, Takano M (2005). Expressions of rice sucrose non-fermenting-1 related protein kinase 1 genes are differently regulated during the caryopsis development. Plant Physiol Biochem 43, 669-679.
[37]	Khan S, Anwar S, Ashraf MY, Khaliq B, Sun M, Hussain S, Gao ZQ, Noor H, Alam S (2019). Mechanisms and adaptation strategies to improve heat tolerance in rice. Plants 8, 508.
[38]	Kilasi NL, Singh J, Vallejos CE, Ye CR, Jagadish SVK, Kusolwa P, Rathinasabapathi B (2018). Heat stress tolerance in rice (Oryza sativa L.): identification of quantitative trait loci and candidate genes for seedling growth under heat stress. Front Plant Sci 9, 1578.
[39]	Kim JH, Lim SD, Jang CS (2019). Oryza sativa heat-induced RING finger protein 1 (OsHIRP1) positively regulates plant response to heat stress. Plant Mol Biol 99, 545-559.
[40]	Lee BH, Won SH, Lee HS, Miyao M, Chung WI, Kim IJ, Jo J (2000). Expression of the chloroplast-localized small heat shock protein by oxidative stress in rice. Gene 245, 283-290.
[41]	Li XM, Chao DY, Wu Y, Huang XH, Chen K, Cui LG, Su L, Ye WW, Chen H, Chen HC, Dong NQ, Guo T, Shi M, Feng Q, Zhang P, Han B, Shan JX, Gao JP, Lin HX (2015). Natural alleles of a proteasome α2 subunit gene contribute to thermotolerance and adaptation of African rice. Nat Genet 47, 827-833.
[42]	Liu F, Zhang L, Luo YZ, Xu MY, Fan YL, Wang L (2016a). Interactions of Oryza sativa OsCONTINUOUS VASCULAR RING-LIKE 1 (OsCOLE1) and OsCOLE1-INTERACTING PROTEIN reveal a novel intracellular auxin transport mechanism. New Phytol 212, 96-107.
[43]	Liu JP, Zhang CC, Wei CC, Liu X, Wang MG, Yu FF, Xie Q, Tu JM (2016b). The RING finger ubiquitin E3 ligase OsHTAS enhances heat tolerance by promoting H₂O₂-induced stomatal closure in rice. Plant Physiol 170, 429-443.
[44]	McCouch SR, Cho YG, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T (1997). Report on QTL nomenclature. Rice Genet Newsl 14, 11-13.
[45]	Meng L, Li HH, Zhang LY, Wang JK (2015). QTL ICIMAPPING: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J 3, 269-283.
[46]	Mittal D, Chakrabarti S, Sarkar A, Singh A, Grover A (2009). Heat shock factor gene family in rice: genomic organization and transcript expression profiling in response to high temperature, low temperature and oxidative stresses. Plant Physiol Biochem 47, 785-795.
[47]	Murakami T, Matsuba S, Funatsuki H, Kawaguchi K, Saruyama H, Tanida M, Sato Y (2004). Over-expression of a small heat shock protein, sHSP17.7, confers both heat tolerance and UV-B resistance to rice plants. Mol Breed 13, 165-175.
[48]	Murthy VS, Ravishankar KV (2016). Molecular mechanisms of heat shock proteins and thermotolerance in plants. In: SrinivasaRao NK, ShivashankaraKS, LaxmanRH, Abiotic Stress Physiology of Horticultural Crops.eds. New Delhi: Springer. pp. 71-83.
[49]	Sarkar NK, Kim YK, Grover A (2009). Rice sHsp genes: genomic organization and expression profiling under stress and development. BMC Genomics 10, 393.
[50]	Sarkar NK, Kotak S, Agarwal M, Kim YK, Grover A (2020). Silencing of class I small heat shock proteins affects seed-related attributes and thermotolerance in rice seedlings. Planta 251, 26.
[51]	Shad MA, Wang YX, Zhang H, Zhai SS, Shalmani A, Li YB (2023). Genetic analysis of GEFs and GDIs in rice reveals the roles of OsGEF5, OsGDI1, and OsGEF3 in the regulation of grain size and plant height. Crop J 11, 345-360.
[52]	Siddique M, Gernhard S, von Koskull-Döring P, Vierling E, Scharf KD (2008). The plant sHSP superfamily: five new members in Arabidopsis thaliana with unexpected properties. Cell Stress Chaperones 13, 183-197.
[53]	Wang D, Qin BX, Li X, Tang D, Zhang YE, Cheng ZK, Xue YB (2016). Nucleolar DEAD-Box RNA helicase TOGR1 regulates thermos tolerant growth as a Pre-rRNA chaperone in rice. PLoS Genet 12, e1005844.
[54]	Xiao YH, Pan Y, Luo LH, Zhang GL, Deng HB, Dai LY, Liu XL, Tang WB, Chen LY, Wang GL (2011). Quantitative trait loci associated with seed set under high temperature stress at the flowering stage in rice (Oryza sativa L.). Euphytica 178, 331-338.
[55]	Yamamoto Y, Kamiya N, Morinaka Y, Matsuoka M, Sazuka T (2007). Auxin biosynthesis by the YUCCA genes in rice. Plant Physiol 143, 1362-1371.
[56]	Yang J, Ji LX, Zhu BH, Yuan XJ, Jin DM, Xie GS (2018). OsCML16 interacts with a novel CC-NBS-LRR protein OsPi304 in the Ca²⁺/Mg²⁺dependent and independent manner in rice. Biochem Biophys Res Commun 504, 346-351.
[57]	Zhang KM, Ezemaduka AN, Wang Z, Hu HL, Shi XD, Liu C, Lu XP, Fu XM, Chang ZY, Yin CC (2015). A novel mechanism for small heat shock proteins to function as molecular chaperones. Sci Rep 5, 8811.
[58]	Zhang Y, Zou BH, Lu S, Ding Y, Liu H, Hua J (2016). Expression and promoter analysis of the OsHSP16.9C gene in rice. Biochem Biophys Res Commun 479, 260-265.
[59]	Zheng KL, Zhao J, Lin DZ, Chen JY, Xu JL, Zhou H, Teng S, Dong YJ (2016). The rice TCM5 gene encoding a novel Deg protease protein is essential for chloroplast development under high temperatures. Rice 9, 13.
[60]	Zhu S, Huang RL, Wai HP, Xiong HL, Shen XH, He HH, Yan S (2017). Mapping quantitative trait loci for heat tolerance at the booting stage using chromosomal segment substitution lines in rice. Physiol Mol Biol Plants 23, 817-825.

QTL	Chr.	Interval (Mb)	Genes	Annotation	Reference
qHTSR1.1	1	1.90-1.95	Os01g0134800*	Glycosyl hydrolase family
			Os01g0134900*	Glycosyl hydrolase family
			Os01g0135000	Similar to 1,4-beta-D xylan xylanohydrolase
			Os01g0135700*	OsCML16, calmodulin, calcium signaling during abiotic stress	Yang et al., 2018
			Os01g0135800*	HSP20, heat shock protein
			Os01g0135900*	HSP20, heat shock protein	Sarkar et al., 2020
			Os01g0136000*	OsHSP16.9C, HSP17.5 heat shock protein	Sarkar et al., 2020
			Os01g0136050	16.9 kDa heat shock protein
qHTSR4.1	4	15.72-15.92	Os04g0336600	Peptidase aspartic, catalytic domain containing protein
			Os04g0337000*	Aspartyl protease domain containing protein
			Os04g0337201*	SAD2, sensitive to ABA and drought2
			Os04g0337300	SAD2, sensitive to ABA and drought2
			Os04g0337500	Oxidoreductase
			Os04g0337800*	IN2-2 protein
			Os04g0338000*	Aldo/keto reductase family protein	Kim et al., 2019
qHTSR5.1	5	20.41-20.48	Os05g0417000*	DUF260 domain containing protein
qHTSR5.1	5	20.41-20.48	Os05g0417100*	Deg Protease Protein, chloroplast development and maintenance of PSII function under high temperatures	Zheng et al., 2016
			Os05g0417800*	ulp1 protease family
qHTSR5.2	5	26.25-26.39	Os05g0418000*	GDP-dissociation inhibitor	Shad et al., 2023
			Os05g0528500	OsWRKY58, WRKY transcription factor
			Os05g0528600	OsYUCCA2, flavin monooxygenase-like enzyme, auxin biosynthesis	Yamamoto et al., 2007
			Os05g0528900	Ribosomal protein
			Os05g0529000*	OsCOLE1, regulation of intracellular auxin transport	Liu et al., 2016a
			Os05g0529200	Enoyl-CoA hydratase/isomerase family protein
			Os05g0529300	ER lumen protein retaining receptor
			Os05g0529400*	Ubiquitin domain-containing protein
			Os05g0529600*	ATP binding protein
			Os05g0529700	Electron transporter/heat shock protein binding protein
			Os05g0529900	Cell cycle control protein, OsHsfA4d; Heat stress transcription factor	Mittal et al., 2009
			Os05g0530400*	Plant growth and balancing reactive oxygen species du- ring biotic and abiotic stress	Mittal et al., 2009
			Os05g0530500	Snf1 protein kinase; sucrose non-fermenting-1 related protein kinase 1	Kanegae et al., 2005
			Os05g0530701	Leucine-rich repeat
			Os05g0531000*	A member of S40 gene family, regulation of crosstalk among abiotic and biotic and developmental senescence
			Os05g0531100	A member of S40 gene family, regulation of crosstalk among abiotic and biotic and developmental senescence
			Os05g0531200	Pollen Ole e I allergen and extensin family protein precursor
			Os05g0531400	Pollen Ole e I allergen and extensin family protein precursor
			Os05g0531500	Hydrolase

QTL	Chr.	Interval (Mb)	Genes	Annotation	Reference
qHTSR1.1	1	1.90-1.95	Os01g0134800*	Glycosyl hydrolase family
			Os01g0134900*	Glycosyl hydrolase family
			Os01g0135000	Similar to 1,4-beta-D xylan xylanohydrolase
			Os01g0135700*	OsCML16, calmodulin, calcium signaling during abiotic stress	Yang et al., 2018
			Os01g0135800*	HSP20, heat shock protein
			Os01g0135900*	HSP20, heat shock protein	Sarkar et al., 2020
			Os01g0136000*	OsHSP16.9C, HSP17.5 heat shock protein	Sarkar et al., 2020
			Os01g0136050	16.9 kDa heat shock protein
qHTSR4.1	4	15.72-15.92	Os04g0336600	Peptidase aspartic, catalytic domain containing protein
			Os04g0337000*	Aspartyl protease domain containing protein
			Os04g0337201*	SAD2, sensitive to ABA and drought2
			Os04g0337300	SAD2, sensitive to ABA and drought2
			Os04g0337500	Oxidoreductase
			Os04g0337800*	IN2-2 protein
			Os04g0338000*	Aldo/keto reductase family protein	Kim et al., 2019
qHTSR5.1	5	20.41-20.48	Os05g0417000*	DUF260 domain containing protein
qHTSR5.1	5	20.41-20.48	Os05g0417100*	Deg Protease Protein, chloroplast development and maintenance of PSII function under high temperatures	Zheng et al., 2016
			Os05g0417800*	ulp1 protease family
qHTSR5.2	5	26.25-26.39	Os05g0418000*	GDP-dissociation inhibitor	Shad et al., 2023
			Os05g0528500	OsWRKY58, WRKY transcription factor
			Os05g0528600	OsYUCCA2, flavin monooxygenase-like enzyme, auxin biosynthesis	Yamamoto et al., 2007
			Os05g0528900	Ribosomal protein
			Os05g0529000*	OsCOLE1, regulation of intracellular auxin transport	Liu et al., 2016a
			Os05g0529200	Enoyl-CoA hydratase/isomerase family protein
			Os05g0529300	ER lumen protein retaining receptor
			Os05g0529400*	Ubiquitin domain-containing protein
			Os05g0529600*	ATP binding protein
			Os05g0529700	Electron transporter/heat shock protein binding protein
			Os05g0529900	Cell cycle control protein, OsHsfA4d; Heat stress transcription factor	Mittal et al., 2009
			Os05g0530400*	Plant growth and balancing reactive oxygen species du- ring biotic and abiotic stress	Mittal et al., 2009
			Os05g0530500	Snf1 protein kinase; sucrose non-fermenting-1 related protein kinase 1	Kanegae et al., 2005
			Os05g0530701	Leucine-rich repeat
			Os05g0531000*	A member of S40 gene family, regulation of crosstalk among abiotic and biotic and developmental senescence
			Os05g0531100	A member of S40 gene family, regulation of crosstalk among abiotic and biotic and developmental senescence
			Os05g0531200	Pollen Ole e I allergen and extensin family protein precursor
			Os05g0531400	Pollen Ole e I allergen and extensin family protein precursor
			Os05g0531500	Hydrolase

QTL	This study		Known QTLs or genes
QTL	Chr.	Position (Mb)	Population	Traits	Position (Mb)	Reference
qHTSR1.1	1	1.90-1.95	Nipponbare/Kasalath backcross inbred lines (BILs)	HT during grain filling	0.64-3.44	朱昌兰等, 2005
			Teqin/Yuanjiang Common Wild Rice BILs	HT at flowering stage	0.38-2.18	奎丽梅等, 2008
			N22/IR64 recombinant inbred lines (RILs)	Shoot length under heat stress	1.86-2.31	Kilasi et al., 2018
qHTSR1.2	1	39.82-39.86	Longdao 5/Zhongyouzao 8RILs	HTSR	37.6-39.08	刘进等, 2022a
qHTSR1.2	1	39.82-39.86	Bala/Azucena RILs	HT at flowering stage	38.35-40.66	Jagadish et al., 2010
qHTSR2.2	2	24.58-24.72	255 core materials	HTSR	24.66	魏昭然, 2020
qHTSR4.1	4	15.71-15.92	996/4628 RILs	HT at flowering stage	15.74-18.82	Xiao et al., 2011; 盘毅等, 2011
qHTSR4.1	4	15.71-15.92	Bala/Azucena RILs	HT at flowering stage	14.19-16.86	Jagadish et al., 2010
qHTSR 5.2	5	26.25-26.39	Zhongyouzao 8/Fengjin RILs	HT at flowering stage	3.08-26.85	张涛等, 2008
			Longdao 5/Zhongyouzao 8 RILs	HTSR	25.78-26.28	刘进等, 2022a; 李林浩, 2023
			R498/R3551 RILs	HT at flowering stage	26.69-27.69	陶磊, 2020
qHTSR9.1	9	9.42-9.46	Nipponbare/Kasalath bils	Thermo-tolerance of amylose content	5.27-21.85	朱昌兰等, 2006
qHTSR10	10	22.57-22.63	Bala/Azucena RILs	HT at flowering stage	20.84-23.45	Jagadish et al., 2010
			233 core materials	HT during grain filling	22.62	杨飞, 2020
			Sasanishiki/Habataki CSSLs	Pollen fertility under high temperature	19.89-23.01	Zhu et al., 2017

QTL	This study		Known QTLs or genes
QTL	Chr.	Position (Mb)	Population	Traits	Position (Mb)	Reference
qHTSR1.1	1	1.90-1.95	Nipponbare/Kasalath backcross inbred lines (BILs)	HT during grain filling	0.64-3.44	朱昌兰等, 2005
			Teqin/Yuanjiang Common Wild Rice BILs	HT at flowering stage	0.38-2.18	奎丽梅等, 2008
			N22/IR64 recombinant inbred lines (RILs)	Shoot length under heat stress	1.86-2.31	Kilasi et al., 2018
qHTSR1.2	1	39.82-39.86	Longdao 5/Zhongyouzao 8RILs	HTSR	37.6-39.08	刘进等, 2022a
qHTSR1.2	1	39.82-39.86	Bala/Azucena RILs	HT at flowering stage	38.35-40.66	Jagadish et al., 2010
qHTSR2.2	2	24.58-24.72	255 core materials	HTSR	24.66	魏昭然, 2020
qHTSR4.1	4	15.71-15.92	996/4628 RILs	HT at flowering stage	15.74-18.82	Xiao et al., 2011; 盘毅等, 2011
qHTSR4.1	4	15.71-15.92	Bala/Azucena RILs	HT at flowering stage	14.19-16.86	Jagadish et al., 2010
qHTSR 5.2	5	26.25-26.39	Zhongyouzao 8/Fengjin RILs	HT at flowering stage	3.08-26.85	张涛等, 2008
			Longdao 5/Zhongyouzao 8 RILs	HTSR	25.78-26.28	刘进等, 2022a; 李林浩, 2023
			R498/R3551 RILs	HT at flowering stage	26.69-27.69	陶磊, 2020
qHTSR9.1	9	9.42-9.46	Nipponbare/Kasalath bils	Thermo-tolerance of amylose content	5.27-21.85	朱昌兰等, 2006
qHTSR10	10	22.57-22.63	Bala/Azucena RILs	HT at flowering stage	20.84-23.45	Jagadish et al., 2010
			233 core materials	HT during grain filling	22.62	杨飞, 2020
			Sasanishiki/Habataki CSSLs	Pollen fertility under high temperature	19.89-23.01	Zhu et al., 2017

基于高密度Bin图谱的水稻苗期耐热性QTL定位

Mapping of QTLs for Heat Tolerance at the Seedling Stage in Rice Based on a High-density Bin Map

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