黄秀艳,栗俊波,廖冰,傅雪琳,何平.野生稻单片段代换系芽期耐旱性评价及QTLs鉴定[J].干旱地区农业研究,2023,(4):32~40
野生稻单片段代换系芽期耐旱性评价及QTLs鉴定
Evaluation of drought tolerance and identification of QTLs in single\|segment substitution lines of wild rice at bud stage
  
DOI:10.7606/j.issn.1000-7601.2023.04.04
中文关键词:  染色体单片段代换系  野生稻  耐旱性评价  QTL鉴定
英文关键词:single chromosome segment substitution line  wild rice  drought tolerance evaluation  QTL identification
基金项目:国家自然科学基金面上项目(31971866);广东省自然科学基金自由申请项目(2019A1515010820);广州市科技计划项目(201904010183)
作者单位
黄秀艳 华南农业大学生命科学学院广东 广州 510642 
栗俊波 华南农业大学农学院广东 广州 510642 
廖冰 华南农业大学生命科学学院广东 广州 510642 
傅雪琳 华南农业大学农学院广东 广州 510642 
何平 华南农业大学生命科学学院广东 广州 510642 
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中文摘要:
      于2020-2021年以60份来自展颖野生稻和南方野生稻的单片段代换系(Single chromosome segments substitution lines,SSSLs)及其受体亲本‘华粳籼74’(‘HJX74’)为试验材料,在20% PGE-6000干旱胁迫浓度下开展水稻芽期耐旱性试验,以6个生长发育性状指标的相对值(相对芽长、相对根长、相对胚芽鞘长、相对根数、相对根干质量、相对芽干质量)作为评价指标,采用隶属函数法对SSSLs进行排序并筛选相关性状与‘HJX74’有显著差异的SSSLs,进行QTL鉴定与加性效应分析,初步鉴定与芽期耐旱性状相关的QTL。结果表明:供试SSSLs平均隶属函数值范围为0.14~0.71,‘HJX74’平均隶属函数值为0.58,有12个SSSLs的平均隶属函数值大于‘HJX74’。通过单因素方差分析,筛选出以相对芽长为指标的2份耐旱SSSLs和以相对根数为指标的4份耐旱SSSLs。在20% PGE-6000模拟干旱胁迫处理条件下,以发芽第8天的相对芽长和相对根数为指标鉴定耐旱QTLs,2份SSSLs(X24、X8)鉴定出1个相对芽长QTL,即qRSL1-1,加性效应分别为0.07、0.08,表型贡献率分别为11.17%、13.85%;4份SSSLs(M77、M120、M133和M142)鉴定出3个相对根数QTLs,即qRRN10-1、qRRN11-1、qRRN12-1,其加性效应为0.11~0.24,表型贡献率为16.64%~36.34%。表明这些SSSLs携带芽期耐旱QTLs,可以作为水稻耐旱基因发掘材料。
英文摘要:
      Sixty single segment substitution lines (SSSLs) from O. glumaepatula and O. meridionalis and their recipient parents ‘Huajingxian 74’ (‘HJX74’) were used as test materials under 20% PGE-6000 simulated drought stress in 2020-2021. The relative values of six growth and developmental traits (relative shoot length, relative root length, relative germinal sheath length, relative root number, relative root dry weight, relative shoot dry weight) were used as evaluation indexes. The affiliation function method was used to rank the SSSLs and screen the SSSLs with significantly different traits from ‘HJX74’. QTL identification and additive effect analysis were performed to initially identify the QTLs associated with drought tolerance traits at bud stage. The results showed that the mean affiliation function values of the test SSSLs ranged from 0.14 to 0.71, the mean affiliation function value of ‘HJX74’ was 0.58, and the mean affiliation function values of 12 SSSLs were greater than that of ‘HJX74’. Two drought\|tolerant SSSLs with relative shoot length as the index and four drought\|tolerant SSSLs with relative root number as the index were selected by one\|way ANOVA. Under 20% PGE-6000 simulated drought stress treatment, relative shoot length and relative root number at day 8 of germination were used as indicators to identify drought tolerance QTLs. 2 SSSLs (X24, X8) identified 1 relative shoot length QTL, qRSL1-1, with additive effects of 0.07 and 0.08 and phenotypic contributions of 11.17% and 13.85%, respectively. 4 SSSLs (M77, M120, M133 and M142) identified 3 relative root number QTLs, qRRN10-1, qRRN11-1 and qRRN12-1, with additive effects of 0.11 to 0.24 and phenotypic contributions of 16.64% to 36.34%. The results indicated that these SSSLs carried drought tolerance QTLs at bud stage and can be used as material for drought tolerance gene discovery in rice.
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