Scientia Agricultura Sinica

Previous Articles    

Construction of High Density Genetic Map for RIL population and QTL Analysis of Heat Tolerance at Seedling Stage in Rice (Oryza sativa L.) #br#

LIU Jin1,2, HU JiaXiao1, MA XiaoDing2, CHEN Wu1, LE Si1, Jo Sumin3, CUI Di2, ZHOU HuiYing1, ZHANG LiNa1, Shin Dongjin3, LI MaoMao1, HAN LongZhi2*, YU LiQin1* #br#   

  1. 1 Rice Research Institute, Jiangxi Academy of Agricultural Sciences/Research Center of Jiangxi Crop Germplasm Resources, Nanchang 330200; 2 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081; 3 Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Milyang 627-803, South Korea
  • Published:2022-09-29

Abstract: 【ObjectiveWith global warming, high temperature has an increasing impact on food crop safe. Excavation of heat tolerance gene resources is the most direct green ecological method to cultivate new varieties of heat resistance and eliminate the harm of high temperature, which also the basis for clarifying the physiological, biochemical and molecular genetic mechanism of heat tolerance.MethodEstablishing the identification and evaluation method of heat tolerance at seedling stage, a set of RIL populations was structured from the extreme heat-tolerance Ganzaoxian58(GZX58) and heat-sensitive Junambyeo (JNB), and then the high density genetic map was constructed using genotyping by resequencing technology. To converting SNP information into Bin genotype of the RIL population using sliding window method, which predicting the recombination breakpoints on the chromosomes, finally a high density BinMap genetic map was constructed. Based on the genotype and phenotype data of the 171 lines, QTL mapping of the high temperature seedling survival rate (HTSR) and heat tolerance class (HTC) was performed by ICIM method of the QTL IciMapping software.ResultA high-density genetic map containing 3,321 Bin markers was constructed, the number of Bin markers for each chromosome between 159 and 400, the average physical distance two markers was about to 106 kb; heat tolerance of the parents and RIL populations was identified by stepwise heat stress at seedlings stage, there have a significant negative correlation between HTSR and HTC, in addition, there has a significant positive correlation between HTSR and indica gene frequency (Fi), which the higher of the Fi, the heat tolerance is better; the bi-modal continuous distribution of phenotype traits from the RIL population showed that the heat tolerance is regulated by few major QTL. A total of 12 QTL controlling with heat tolerance at seedling stage, there have 8 and 4 QTL regulating for HTSR and HTC, respectively. There has a significant genetic overlap from HTSR and HTC, qHTS2, qHTS7 and qHTS8, three major QTL cluster play an important role in regulating the heat tolerance at seedling stage. Among these QTL, qHTS7 was a novel major QTL cluster, which has a strong effect on enhancing the heat resistance at seedling stage. ConclusionWe constructed a high density genetic linkage map containing 3,321 Bin markers, which be used to analyzed the heat tolerance gene from the GZX58 at seedling stage, there have three key QTL cluster identified associated with the heat tolerance, a novel QTL cluster qHTS7 was discovered, efficient acquisition of target segments and candidate genes based on high-density genetic mapping, eight key candidate genes were selected by bioinformatics for regulation of the heat tolerance.


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

[1] LI Hao, CHEN Jin, WANG HongLiang, LIU KaiLou, HAN TianFu, DU JiangXue, SHEN Zhe, LIU LiSheng, HUANG Jing, ZHANG HuiMin. Response of Carbon and Nitrogen Distribution in Organo-Mineral Complexes of Red Paddy Soil to Long-Term Fertilization [J]. Scientia Agricultura Sinica, 2023, 56(7): 1333-1343.
[2] WEN YiBo, CHEN ShuTing, XU ZhengJin, SUN Jian, XU Quan. Combination of DEP1, Gn1a, and qSW5 Regulates the Panicle Architecture in Rice [J]. Scientia Agricultura Sinica, 2023, 56(7): 1218-1227.
[3] LI RuXiang, ZHOU Kai, WANG DaChuan, LI QiaoLong, XIANG AoNi, LI Lu, LI MiaoMiao, XIANG SiQian, LING YingHua, HE GuangHua, ZHAO FangMing. Analysis of QTLs and Breeding of Secondary Substitution Lines for Panicle Traits Based on Rice Chromosome Segment Substitution Line CSSL-Z481 [J]. Scientia Agricultura Sinica, 2023, 56(7): 1228-1247.
[4] ZHAO ZiJun, WU RuHui, WANG Shuo, ZHANG Jun, YOU Jing, DUAN QianNan, TANG Jun, ZHANG XinFang, WEI Mi, LIU JinYan, LI YunFeng, HE GuangHua, ZHANG Ting. Mutation of PDL2 Gene Causes Degeneration of Lemma in the Spikelet of Rice [J]. Scientia Agricultura Sinica, 2023, 56(7): 1248-1259.
[5] ZHU HongHui, LI YingZi, GAO YuanZhuo, LIN Hong, WANG ChengYang, YAN ZiYi, PENG HanPing, LI TianYe, XIONG Mao, LI YunFeng. Map-Based Cloning of the SHORT AND WIDEN GRAIN 1 Gene in Rice (Oryza sativa L.) [J]. Scientia Agricultura Sinica, 2023, 56(7): 1260-1274.
[6] ZHANG Ji, ZHOU ShangLing, HE Fa, LIU LiSha, ZHANG YuJuan, HE JinYu, DU XiaoQiu. Expression Pattern of the Rice α-Amylase Genes Related with the Process of Floret Opening [J]. Scientia Agricultura Sinica, 2023, 56(7): 1275-1282.
[7] HE Jiang, DING Ying, LOU XiangDi, JI DongLing, ZHANG XiangXiang, WANG YongHui, ZHANG WeiYang, WANG ZhiQin, WANG WeiLu, YANG JianChang. Difference in the Comprehensive Response of Dry Matter Accumulation of Rice at Tillering Stage to Rising Atmospheric CO2 Concentration and Nitrogen Nutrition and Its Physiological Mechanism [J]. Scientia Agricultura Sinica, 2023, 56(6): 1045-1060.
[8] JIA XiaoYun, WANG ShiJie, ZHU JiJie, ZHAO HongXia, LI Miao, WANG GuoYin. Construction of A High-Density Genetic Map and QTL Mapping for Yield Related Traits in Upland Cotton [J]. Scientia Agricultura Sinica, 2023, 56(4): 587-598.
[9] XIE Jun, YIN XueWei, WEI Ling, WANG ZiFang, LI QingHu, ZHANG XiaoChun, LU YuanYuan, WANG QiuYue, GAO Ming. Effects of Control Irrigation on Grain Yield and Greenhouse Gas Emissions in Ridge Cultivation Direct-Seeding Paddy Field [J]. Scientia Agricultura Sinica, 2023, 56(4): 697-710.
[10] LIU Gang, XIA KuaiFei, WU Yan, ZHANG MingYong, ZHANG ZaiJun, YANG JinSong, QIU DongFeng. Breeding and Application of a New Thermo-Tolerance Rice Germplasm R203 [J]. Scientia Agricultura Sinica, 2023, 56(3): 405-415.
[11] CHEN JiHao, ZHOU JieGuang, QU XiangRu, WANG SuRong, TANG HuaPing, JIANG Yun, TANG LiWei, $\boxed{\hbox{LAN XiuJin}}$, WEI YuMing, ZHOU JingZhong, MA Jian. Mapping and Analysis of QTL for Embryo Size-Related Traits in Tetraploid Wheat [J]. Scientia Agricultura Sinica, 2023, 56(2): 203-216.
[12] XIAO DeShun, XU ChunMei, WANG DanYing, ZHANG XiuFu, CHEN Song, CHU Guang, LIU YuanHui. Effects of Rhizosphere Oxygen Environment on Phosphorus Uptake of Rice Seedlings and Its Physiological Mechanisms in Hydroponic Condition [J]. Scientia Agricultura Sinica, 2023, 56(2): 236-248.
[13] ZHANG XiaoLi, TAO Wei, GAO GuoQing, CHEN Lei, GUO Hui, ZHANG Hua, TANG MaoYan, LIANG TianFeng. Effects of Direct Seeding Cultivation Method on Growth Stage, Lodging Resistance and Yield Benefit of Double-Cropping Early Rice [J]. Scientia Agricultura Sinica, 2023, 56(2): 249-263.
[14] XIE Xue, LU YanHong, LIAO YuLin, NIE Jun, ZHANG JiangLin, SUN YuTao, CAO WeiDong, GAO YaJie. Effects of Returning Chinese Milk Vetch and Rice Straw to Replace Partial Fertilizers on Double Season Rice Yield and Soil Labile Organic Carbon [J]. Scientia Agricultura Sinica, 2023, 56(18): 3585-3598.
[15] HAN XiaoTong,YANG BaoJun,LI SuXuan,LIAO FuBing,LIU ShuHua,TANG Jian,YAO Qing. Intelligent Forecasting Method of Rice Sheath Blight Based on Images [J]. Scientia Agricultura Sinica, 2022, 55(8): 1557-1567.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!