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利用双向导入系群体检测遗传背景对耐盐QTL定位的影响被引量:17
2009年
以优质粳稻品种Lemont与高产籼稻品种特青为亲本培育的高代双向回交导入系为材料,在温室140 mmolL-1 NaCl胁迫条件下定位影响苗期叶片盐害级别(SST)、幼苗存活天数(SDS)、地上部K+浓度(SKC)和地上部Na+浓度(SNC)及人工气候室条件下影响地上部K+、Na+浓度的QTL。双向导入系的大部分遗传背景与各自的受体亲本相同,其中Lemont背景导入系中轮回亲本Lemont的基因组平均占83.8%,特青背景导入系中轮回亲本特青基因组平均占88.9%。各耐盐相关性状在两个背景群体中均出现超亲分离,多数性状的频率分布呈相互重叠状态,表明双亲作为供体相互导入各耐盐性状基因的效应大致相当。两个背景导入系群体中分别检测到影响上述耐盐相关性状的QTL各18个,同一性状在两个背景导入系中未能检测到任何相同表达的QTL,表明耐盐QTL表达具有很强的遗传背景效应,同时也说明这些耐盐QTL的效应可能较小。温室和人工气候室两种环境下仅在特青背景导入系中检测到1个影响SKC的相同QTL,表明耐盐QTL与环境的互作非常明显。虽然双亲均表现中等感盐,但QTL定位结果表明双亲中都存在一些提高耐盐相关性状的有利等位基因。研究认为,利用分子标记技术挖掘"隐蔽"于育成品种中的耐盐基因,进一步利用分子标记辅助选择技术对这些非等位耐盐基因进行聚合,完全有可能提高育成品种的耐盐水平。
杨静孙勇程立锐周政王韵朱苓华苍晶徐建龙黎志康
关键词:水稻基因发掘标记辅助选择
利用回交导入系群体发掘水稻种质资源中的有利耐盐QTL被引量:49
2007年
以中等感盐籼稻IR64与粳稻Tarom Molaii培育的85个BC2F8回交导入系为材料,定位苗期在140mmolL-1NaCl胁迫下影响叶片盐害级别、幼苗存活天数、地上部和根部的K+、Na+浓度等6个耐盐相关性状的QTL。幼苗存活天数与地上部Na+浓度呈极显著负相关,与地上部K+浓度呈显著正相关,与根部K+、Na+浓度无关,表明叶片盐害是由于地上部Na+积累过多造成的。根部K+浓度与Na+浓度高度正相关,但与地上部的K+、Na+浓度均无关,表明根对K+、Na+的离子吸收与向地上部运输存在不同的机制。检测到影响6个耐盐相关性状的23个QTL,包括影响叶片盐害级别的5个、幼苗存活天数的6个、地上部K+浓度的4个、地上部Na+浓度的4个、根部K+浓度的1个和根部Na+浓度的3个。影响地上部K+、Na+浓度与影响根部K+、Na+浓度的QTL分布在不同基因组区域,进一步表明根和茎对K+、Na+的吸收存在不同的遗传机制。通过比较图谱,发现影响耐盐相关性状的23个QTL中有12个(占52.2%)与以往不同群体中影响耐盐相关性状的QTL定位在同一或相邻的染色体区域。其中在第2染色体RM240~RM112区间检测到1个影响地上部所有4个耐盐相关性状的主效QUL,其增加耐盐性的有利基因来自供体Tarom Molaii,适宜用作标记辅助选择耐盐性的遗传改良。
孙勇藏金萍王韵朱苓华Fotokian Mohammadhosein徐建龙黎志康
关键词:水稻耐盐性回交导入系基因发掘
利用回交导入系剖析水稻苗期和分蘖期耐盐性的遗传重叠被引量:12
2008年
以籼稻品种IR64为受体,来自伊朗的粳稻农家品种Binam为供体培育的99个BC2F8回交导入系为材料,定位了水稻在2叶1心期和分蘖期控制耐盐相关性状的数量性状基因座(QTL).共检测到影响苗期叶片盐害级别、幼苗存活天数和地上部钾、钠离子浓度的QTL13个,影响分蘖期株高、分蘖数和地上部鲜重的QTL22个.多数分蘖期QTL对盐胁迫表现出明显的表达差异,根据表达情况将这些QTL分成3组,第1组为在对照条件下表达的11个QTL;第2组为在对照和盐胁迫条件下共同表达的5个QTL,其中有3个(QPh5,QPh8,QTn9)在两种环境下的基因效应大小和方向一致,其表达受盐胁迫影响较小;第3组为受盐胁迫诱导表达的6个QTL.检测到13个影响胁迫与对照差值即性状稳定性的QTL,除QPh4,QTn2和QFw2a外,其余10个基因座增加性状稳定性或提高耐盐性的等位基因均来自Binam.上述受盐胁迫影响较小的3个QTL和影响性状稳定性的13个QTL对耐盐性有贡献,属耐盐QTL.比较苗期和分蘖期耐盐QTL的分布,发现多数(69%)影响苗期和分蘖期的耐盐QTL在遗传上相互独立,仅在第1,2,8和11染色体的4个相同或相邻区域定位到影响两个时期的耐盐QTL,表明苗期和分蘖期的耐盐性存在部分的遗传重叠.通过标记辅助选择将苗期和分蘖期的重要耐盐QTL进行累加,或针对苗期和分蘖期的重叠耐盐QTL进行选择,有可能培育出苗期和分蘖期均耐盐的水稻品种.
藏金萍孙勇王韵杨静李芳周永力朱苓华REYS JessicaFOTOKIAN Mohammadhosein徐建龙黎志康
关键词:水稻耐盐性
Dissection of genetic overlap of salt tolerance QTLs at the seedling and tillering stages using backcross introgression lines in rice被引量:33
2008年
QTLs for salt-tolerance(ST)related traits at the seedling and tillering stages were identified using 99 BC2F8 introgression lines(IL)derived from a cross between IR64(indica)as a recurrent parent and Binam(japonica)from Iran as the donor parent.Thirteen QTLs affecting survival days of seedlings(SDS), score of salt toxicity of leaves(SST),shoot K + concentration(SKC)and shoot Na + concentration(SNC) at the seedling stage and 22 QTLs underlying fresh weight of shoots(FW),tiller number per plant(TN) and plant height(PH)at the tillering stage were identified.Most QTLs detected at the tillering stage showed obvious differential expression to salt stress and were classified into three types based on their differential behaviors.Type I included 11 QTLs which were expressed only under the non-stress condition.Type II included five QTLs expressed in the control and the salt stress conditions,and three of them(QPh5,QPh8 and QTn9)had similar quantity and the same direction of gene effect,suggesting their expression was less influenced by salt stress.Type III included six QTLs which were detectable only under salt stress,suggesting that these QTLs were apparently induced by the stress.Thirteen QTLs affecting trait difference or trait stability of ILs between the stress and non-stress conditions were identified and the Binam alleles at all loci except QPh4,QTn2 and QFw2a decreased trait difference.The three QTLs less influenced by the stress and 13 QTLs affecting trait stability were considered as ST QTLs which contributed to ST.Comparing the distribution of QTLs detected at the seedling and tillering stages,most(69%)of them were genetically independent.Only four were the same or adjacent regions on chromosomes 1,2,8 and 11 harboring ST QTLs detected at the two stages,suggesting that partial genetic overlap of ST across the two stages occurs.It is likely,therefore,to develop ST rice variety for both stages by pyramiding of ST QTLs of different stages or selection against the overlapping QTLs between the two stages via marker-
ZANG JinPing 1 ,SUN Yong 1 ,WANG Yun 1 ,YANG Jing 1 ,LI Fang 1 ,ZHOU YongLi 1 ,ZHU LingHua 1 , Reys JESSICA2,Fotokian MOHAMMADHOSEIN 2,XU JianLong 1&LI ZhiKang 1,2 1Institute of Crop Sciences/National Key Facility for Crop Gene Resources&Genetic Improvement,Chinese Academy of Agricul- tural Sciences,Beijing 100081,China
关键词:RICETRAITOVERLAP
Genetic background effects on QTL and QTL × environment interaction for yield and its component traits as revealed by reciprocal introgression lines in rice被引量:1
2014年
QTLs for quantitative traits are influenced by genetic background(GB) and environment.Identification of QTL with GB independency and environmental stability is prerequisite for effective marker-assisted selection(MAS). In this study, QTLs and QTL × environment interactions affecting grain yield per plant(GY) and its component traits, filled grain number per panicle(FGN), panicle number per plant(PN) and 1000-grain weight(TGW) across six environments were dissected using two sets of reciprocal introgression lines(ILs) derived from the cross Lemont × Teqing and SNP genotypic data. ANOVA indicated that the differences among genotypes and environments within each set of ILs were highly significant for all traits. A total of 72 distinct QTLs for GY and its component traits including 15 for GY, 25 for FGN, 18 for PN, and 29 for TGW were detected over the six environments. Most QTLs(87.4%) showed significant QTL × environment interactions(QEIs) and appeared to be more or less environment-specific. Among 72 QTLs, 15(20.8%) QTLs and 12(16.7%) QEIs were commonly identified in both backgrounds, indicating QTL especially QEI for yield and its component traits had strong GB effects. Four QTL regions affecting GY and its component traits, including S1269707–S4288071, S16661497–S17511092, and S35861863–S36341768 on chromosome 3, and S4134205–S7643153 on chromosome 5, were detected in both backgrounds and coincided with cloned genes for yield-related traits. These regions can be the targeted in rice breeding for high yield potential through MAS. Application of QTL main effects and their environmental interaction effects in MAS was discussed in detail.
Xiaoqian WangYunlong PangJian ZhangQiang ZhangYonghong TaoBo FengTianqing ZhengJianlong XuZhikang Li
关键词:TRAITLOCUSYIELDQTL
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