野生稻单片段代换系苗期耐旱性评价及QTL鉴定  

Evaluation of Drought Tolerance and Identification of QTL in Single-segment Substitution Lines of Wild Rice at Seedling Stage

作　　者：廖冰 黄秀艳 陈科 傅雪琳[2] 何平[1] LIAO Bing;HUANG Xiuyan;CHEN Ke;FU Xuelin;HE Ping(College of Life Sciences,South China Agricultural University,Guangzhou 510642,China;College of Agriculture,South China Agricultural University,Guangzhou 510642,China)

机构地区：[1]华南农业大学生命科学学院,广东广州510642 [2]华南农业大学农学院,广东广州510642

出　　处：《广东农业科学》2024年第3期70-80,共11页Guangdong Agricultural Sciences

基　　金：广东省自然科学基金(2019A1515010820);广州市科技计划项目(201904010183)。

摘　　要：【目的】干旱是影响水稻生产力的主要非生物因素之一,筛选抗旱水稻可有效保障水稻产量。【方法】选取以南方野生稻和展颖野生稻为供体、‘华粳籼74’(HJX74)为受体构建的93份单片段代换系(Single-segment substitution lines,SSSLs)为供试材料,以HJX74为对照,采用20%PEG-6000模拟干旱条件进行苗期耐旱性试验,以4个生长发育性状指标(相对苗高、相对苗干质量、相对根干质量、相对根长)作为评价指标,采用隶属函数法对SSSLs进行排序、筛选相关性状,并筛选与HJX74差异显著的SSSLs,进行QTL鉴定与加性效应分析,初步鉴定与苗期耐旱性状相关的QTL。【结果】4个生长发育性状指标与平均隶属函数值的相关性分析结果均为极显著正相关,可作为SSSLs苗期耐旱性鉴定和评价指标。隶属函数法分析结果显示,93份SSSLs平均隶属函数值范围为0.20~0.71,HJX74平均隶属函数值为0.54;有29个SSSLs的平均隶属函数值> HJX74的平均隶属函数值,其中,M124的隶属函数值最大,表明M124具有较强的耐旱性。通过单因素方差分析,从8个SSSLs(M78-1、M78-2、M124、M107、M151、M103、M130、M115)鉴定出7个相对苗高QTLs(qRSH1-1、qRSH1-2、qRSH2-1、qRSH3-1、qRSH3-2、qRSH5-1、qRSH6-1),分别分布在1、2、3、5、6号染色体,其加性效应为0.05~0.06,表型贡献率为6.97%~9.01%;从3个SSSLs(M79、M145、M148)中鉴定出3个相对根干质量QTLs(qRRDW10-1、qRRDW11-1、qRRDW11-2),分别分布在10、11号染色体,其加性效应为0.12~0.20,表型贡献率为12.51%~19.95%;从2个耐旱SSSLs(M80、X149)中鉴定出1个相对苗干质量QTL(qRSDW5-1),分布在5号染色体,加性效应为0.07,表型贡献率为10.5%。【结论】筛选出13份SSSLs携带苗期耐旱QTLs,为后续苗期耐旱QTLs精细定位与克隆研究奠定基础。【Objective】Drought is one of the main abiotic factors that affect rice productivity.Rice yield can be ensured by screening drought-resistant rice.【Method】Ninety-three single-segment substitution lines(SSSLs) constructed from Oryza.meridionalis and O.glumaepatula and their recipient parents 'Huajingxian 74'(HJX74) were used as the test materials.And 20% PEG-6000 was adopted to simulate drought conditions to perform drought tolerance tests at the seedling stage.Besides,four growth and development traits(relative seedling height,relative seedling dry weight,relative root dry weight and relative root length) were used as evaluation indicators.The membership function method was utilized to sort SSSLs and screen SSSLs with relevant traits significantly different from HJX74.Based on the QTL identification and additive effect analysis,QTL related to drought tolerance traits at the seedling stage was preliminarily identified.【Result】The analysis of correlation between the four growth and development traits and the average membership function value revealed that they were all extremely significantly positively correlated,and could be used as indicators for identifying and evaluating the drought tolerance in the seedling stage of SSSLs.According to the analysis result of the membership function method,the average membership function value of the tested SSSLs ranged from 0.20 to 0.71,and the average membership function value of HJX74 was 0.54.The average membership function value of 29 SSSLs was greater than that of HJX74.Among them,M124 had the largest membership function value,indicating strong drought tolerance of M124.Through single factor analysis of variance,7 relative seedling height QTLs(qRSH1-1,qRSH1-2,qRSH2-1,qRSH3-1,qRSH3-2,qRSH5-1,and qRSH6-1) were identified from 8 SSSLs(M78-1,M78-2,M124,M107,M151,M103,M130,M115),which were distributed on Chromosomes 1,2,3,5,and 6.Their additive effect was 0.05-0.06,and the phenotypic contribution rate was 6.97%-9.01%.Three relative root dry weight QTLs(q RRDW10-1,qR

关 键 词：单片段代换系 干旱胁迫 PEG-6000 野生稻 隶属函数 QTL鉴定 

分 类 号：S511.9[农业科学—作物学]