共查询到20条相似文献，搜索用时 250 毫秒
1.
为解析芝麻耐铝毒遗传机制,发掘和定位芝麻耐铝毒QTL,采用不同浓度铝离子对地方品种金黄麻和竹山白进行了芽期胁迫处理,确定芽期铝胁迫处理适宜浓度。利用耐铝毒芝麻种质金黄麻和铝敏感芝麻种质竹山白为亲本构建的一个含有180个家系的重组自交系群体,以铝胁迫下芝麻芽期相对根长(RRL)、相对芽长(RSL)和相对苗鲜质量(RSW)作为表型指标,结合通过重测序构建的一个含有1 354个bin标记的高密度遗传图谱,采用复合区间作图法,对芝麻芽期耐铝毒性状进行了QTL定位和候选基因筛选。3个性状在群体中呈显著正相关,共检测到7个QTL,分布于6条染色体上(2,4,6,10,11,13号染色体),其中3个与相对根长相关,2个与相对芽长相关,2个与相对苗鲜质量有关。其中位于2号染色体的2个分别控制相对根长和相对苗鲜质量的QTL区间部分重叠。候选基因分析的结果表明,15个预测基因可能与耐铝胁迫相关,主要参与金属转运、脱毒和金属离子的跨膜结合、GDSL基序酯酶、过氧化物酶体以及生物体内有毒物质的代谢与解毒等生理进程。 相似文献
2.
WANG Rui-Li WANG Liu-Yan YE Sang Gao Huan-Huan LEI Wei WU Jia-Yi YUAN Fang MENG Li-Jiao TANG Zhang-Lin LI Jia-Na ZHOU Qing-Yuan CUI Cui 《作物学报》2020,46(6):832-843
随着土壤酸化的日益加重,铝毒已成为影响作物种子萌发质量以及作物产量的重要胁迫因子之一。作物耐铝相关性状的QTL定位和候选基因筛选已有许多报道,但铝胁迫下甘蓝型油菜萌发期相关性状的QTL定位报道较少。本文以80μg mL?1的铝胁迫浓度处理重组自交系(10D130×中双11号)群体进行种子萌发试验,处理3 d时调查发芽势, 7 d时调查发芽率,测定其根长、芽长和干重,并计算各性状相对值。基于6K SNP芯片,结合高密度遗传连锁图谱对油菜萌发期的5个性状进行QTL定位,共检测到23个QTL。其中与相对发芽势、相对发芽率、相对根长、相对芽长和相对干重相关的QTL分别有9个、1个、4个、5个和4个,覆盖了A、C基因组, LOD值介于3.00～5.26,可解释的表型变异为7.70%～13.10%。根据各QTL置信区间序列筛选,与铝胁迫相关的候选基因共30个。ALMT1基因和MATE基因与有机酸的合成和分泌有关,主要通过苹果酸、柠檬酸和草酸等有机酸的分泌来增强植物的耐铝性;STOP1基因、NAC基因和RAP2.4基因均属于转录激活因子,通过诱导耐铝基因的表达增强植株的抗性; ABC转运蛋白、膜蛋白转运体、GDSL脂肪酶通过减少有毒物质在质膜上的积累或将有毒物质排出体外等途径增强植物的耐铝性;过氧化物酶和细胞色素P450均属于氧化胁迫相关基因,具有防止植物细胞氧化损伤、抵御逆境胁迫的功能;另外,还有部分编码逆境蛋白的基因,均在各种胁迫反应中起重要作用。本研究的结果将为培育耐铝油菜品种及后续基因的功能研究提供理论依据。 相似文献
3.
铁和锌是水稻生长必需的微量元素,也是重金属污染元素。在低洼或酸性土壤中,水稻容易遭受亚铁和锌毒害,抑制水稻生长,造成生物量和产量下降。为探讨水稻苗期耐亚铁毒、锌毒的遗传机制,利用优质粳稻品种Lemont和高产籼稻品种特青为亲本构建的高代双向回交导入系和308个在染色体上均匀分布的SNP标记剖析耐亚铁毒、锌毒相关的QTL。从双向导入系共检测到42个影响耐亚铁毒、锌毒相关性状如苗高、苗干重、根干重以及胁迫与对照相对值的QTL,多数位点增强亚铁毒、锌毒抗性的有利等位基因来自Lemont。其中同时在2个背景下表达的QTL有4个,占定位QTL总数的9.52%,说明大多数QTL的表达具有明显的遗传背景效应。同一遗传背景下同时影响耐亚铁毒和锌毒的QTL有9个,其中QSdw5在2个背景中均被检测到,其效应大小和方向一致,说明水稻苗期耐亚铁毒、锌毒之间存在遗传重叠位点。因此,通过分子标记辅助选择从Lemont中导入或聚合有利的遗传重叠区域,可以提高特青对亚铁毒、锌毒的抗性水平。 相似文献
4.
为定位水稻发芽期和芽期耐冷性的加性QTL和上位性QTL,本试验以粳稻品种空育131和东农422构建的F:代重组自交系(RIL)190个家系为作图群体,利用104个SSR标记构建遗传连锁图谱,利用完备区间作图法分别对低温发芽力和芽期耐冷性进行QTL定位并分析其加性效应和上位性效应。结果检刚到控制芽期耐冷性的1个加性QTL位于4号染色体上,贡献率为16.84%;17个控制低温发芽力的加性QTL分别位于第1,2,3,6,7,9,12染色体上,贡献率为5.64%~35.67%;控制芽期耐冷性的上位性QTL2对,累积贡献率19.3%;控制发芽期耐冷性的上位性QTL33对,各性状累计贡献率介于18.35%~91.08%,分别控制第7,10,11,15天的发芽率和平均发芽天数的表达,累积贡献率分别为87.88%,87.38%,91.08%,78.68%和18.35%。上位性在水稻发芽期和芽期耐冷性遗传中作用重大,因此,在分子标记育种中加性QTL和上位性QTL是很重要的。 相似文献
5.
大豆苗期耐低磷性及其QTL定位 总被引：2，自引：0，他引：2
利用来自波高和南农94-156（耐低磷种质）的重组自交系群体NJ(SP)BN（151个家系）通过盆栽试验研究与耐低磷有关的性状,并进行耐低磷性状的QTL定位。初步结果表明,不施磷处理的总干重主要由单株P吸收量决定,而与磷利用效率无关;而单株P吸收量与根干重、根效率均极显著正相关,单株P吸收量变异的76.2%由根效率决定。不施磷处理的根冠比（R/S）显著增加主要是茎干重无显著变化而根干重显著增加所致。在D1b+W、F、G、N和O等5个连锁群上共检测到7个QTL与耐低磷有关。分别可解释所对应性状表型变异的4.8%~17.0%,其中5个QTL的增效基因来自亲本波高,2个QTL的增效基因来自亲本南农94-156。 相似文献
6.
利用籼粳交RIL群体对水稻发芽期和苗期耐冷性的QTL分析 总被引：1，自引：0，他引：1
为定位水稻发芽期和苗期耐冷性的QTL,鉴定新的耐冷基因位点,丰富水稻耐冷性的分子遗传基础。以籼型杂交稻恢复系品种泸恢99(Luhui 99,R99)和粳型超级稻品种沈农265(Shennong 265,SN265)杂交衍生的144个F8稳定遗传的重组自交系群体(Recombinant inbred lines,RILs)为试验材料,以低温条件下水稻种子发芽率和苗期叶片赤枯度为耐冷性鉴定标准,采用QTL Ici Mapping v3. 0软件基于完备复合区间作图法,对水稻发芽期和苗期耐冷性进行QTL分析。共检测到2个控制发芽期耐冷性的QTL和1个控制苗期耐冷性QTL,分别位于第3,5,9染色体上,命名为q LTG-3、q LTG-5、q SCT-9,3个QTL的LOD值分别为3. 60,2. 73,2. 52,加性效应为0. 09,-0. 10,-0. 09,可解释表型变异的11. 02%,14. 07%,12. 18%。其中,检测到控制发芽期耐冷性的q LTG-5位于分子标记R5M13～RS8,遗传距离约8.0 c M,该区间未见相关水稻耐冷性QTL的报道,可能是一个新的控制水稻发芽期耐冷性的QTL位点。 相似文献
7.
水稻芽性状耐冷性的QTL分析 总被引：2，自引：0，他引：2
低温发芽和芽期耐冷性是影响水稻芽生长发育的两个重要因素.本试验利用182个越光(粳型)/Kasalath(籼型)//越光回交重组自交株系(backcross recombinant inbred lines,BILs),对2个芽性状耐冷性(低温发芽和芽期耐冷性)进行QTL(quantitative trait loci)定位和相关性分析.结果表明,BIL群体中这2个芽性状耐冷性均呈连续分布,属于数量性状遗传,两性状间的相关性不显著;控制低温发芽的4个QTL分布于第1、7、9、11染色体上,其贡献率为6.72～12.78%;芽期耐冷性相关的4个QTL分布在第4、6(2个QTL)和11染色体上,贡献率为6.61%～14.93%;其中第11染色体上的2个QTL位于相同区域内,并且其增强耐冷性等位基因均来自耐冷性较差亲本Kasalath.本研究结果及其中检测到的QTLs两侧的连锁分子标记可为水稻芽性状耐冷性分子育种提供理论依据. 相似文献
8.
黄瓜耐弱光性状的QTL定位 总被引：15，自引：0，他引：15
应用“欧洲八号×秋棚”为亲本获得的重组自交系群体为材料,以叶面积增长量为鉴定指标,在弱光条件下(光照强度80滋mol·m-2·s-1,光照时数8h白天/16h夜,温度25℃白天/18℃夜)对黄瓜的耐弱光性状进行了研究。发现该RIL群体的双亲在弱光条件下的叶面积增长量存在明显差异。应用该群体构建的具有234个标记位点的连锁图对控制黄瓜耐弱光的数量性状基因(QTL)进行了研究。共定位了5个叶面积增长量的QTL,每个QTL的贡献率在7.3%~20.2%之间。其中1个QTL显示正效加性效应,4个QTL显示负效加性效应。 相似文献
9.
水稻耐盐遗传位点的发掘可为耐盐遗传机制的研究提供理论基础,为耐盐品种培育提供基因资源。以云南地方籼稻品种扎西玛与江苏著名优质粳稻品种南粳46为亲本构建的水稻重组自交系群体为研究对象,鉴定了各株系的苗期耐盐性,结合该群体的分子连锁图谱对控制水稻苗期耐盐性QTL进行分析,共检测到4个QTLs:qSST-1、qSST-3、qSST-5和qSST-11,分别位于第1,3,5,11号染色体上。4个QTLs的增效等位基因均来自于亲本南粳46。经比较发现有3个QTLs与已克隆水稻耐盐基因不在同一染色体区间,说明为新的耐盐基因候选位点。结果对进一步发掘和利用新的水稻耐盐QTL具有重要意义。 相似文献
10.
11.
Yong Xue Jianmin Wan Ling Jiang Chunming Wang Linglong Liu Yuan-ming Zhang Huqu Zhai 《Euphytica》2006,150(1-2):37-45
Summary Quantitative trait loci (QTL) analysis for Al tolerance was performed in rice using a mapping population of 98 BC1F10 lines (backcross inbred lines: BILs), derived from a cross of Al-tolerant cultivar of rice (Oryza sativa L. cv. Nipponbare) and Al-sensitive cultivar (cv. Kasalath). Three characters related to Al tolerance, including root elongation under non-stress conditions (CRE), root elongation under Al stress (SRE) and the relative root elongation (RRE) under Al stress versus non-stress conditions, were evaluated for the BILs and the parents at seedling stage. A total of seven QTLs for the three traits were identified. Among them, three putative QTLs for CRE (qCRE-6, qCRE-8 and qCRE-9) were mapped on chromosomes 6, 8 and 9, respectively. One QTL for SRE (qSRE-4) was identified on chromosome 4. Three QTLs (qRRE-5, qRRE-9 and qRRE-10) for RRE were detected on chromosomes 5, 9, 10 and accounted for 9.7–11.8% of total phenotypic variation. Interestingly, the QTL qRRE-5 appears to be syntenic with the genomic region carrying a major Al tolerance gene on chromosome 6 of maize. Another QTL, qRRE-9, appears to be similar among different rice populations, while qRRE-10 is unique in the BIL population. The common QTLs for CRE and RRE indicate that candidate genes conferring Al tolerance in the rice chromosome 9 may be associated with root growth rates. The existence of QTLs for Al tolerance was confirmed in substitution lines for corresponding chromosomal segments. These results also provide the possibilities of enhancing Al tolerance in rice through using marker-assisted selection (MAS) and pyramiding QTLs. 相似文献
12.
13.
Aluminum (Al) toxicity is one of the major constraints for wheat production in acidic soils worldwide and use of Al-tolerant cultivars is one of the most effective approaches to reduce Al damage in the acidic soils. A Chinese landrace, FSW, shows a high level of tolerance to Al toxicity and a mapping population of recombinant inbred lines (RILs) was developed from a cross between FSW and Al-sensitive US spring wheat cultivar Wheaton to validate the quantitative trait loci (QTL) previously identified in FSW. The mapping population was evaluated for net root growth (NRG) during Al stress in a nutrient solution culture and hematoxylin staining score (HSS) of root tips after Al stress. After 132 simple sequence repeat (SSR) markers from three chromosomes that were previously reported to have the QTLs were analyzed in the population, two QTLs for Al tolerance from FSW were confirmed. The major QTL on chromosome 4DL co-segregated with the Al-activated malate transporter gene (ALMT1), however, sequence analysis of the promoter region (Ups4) of ALMT1 gene indicated that FSW contained a marker allele that is different from the one that was reported to condition Al tolerance in the Brazilian source. Another QTL on chromosome 3BL showed a minor effect on Al tolerance in the population. The two QTLs accounted for about 74.9 % of the phenotypic variation for HSS and 72.1 % for NRG and demonstrated an epistatic effect for both HSS and NRG. SSR markers closely linked to the QTLs have potential to be used for marker-assisted selection (MAS) to improve Al tolerance in wheat breeding programs. 相似文献
14.
水稻种子耐低温发芽力的QTL定位及上位性分析 总被引：2，自引：0，他引：2
利用种植在不同环境[南京(2002)、海南(2002—2003)、南京(2003)]下的Kinmaze/DV85重组自交系(RILs)群体, 对水稻种子萌发第10天的低温发芽力进行QTL分析。利用QTL mapping 2.0软件共检测到11个QTL, 其中qLTG-7和qLTG-11可在3个环境中稳定表达, 且最大贡献率均达到27.93%, 增强低温发芽的基因分别来自Kinmaze和DV85。与前人的研究比较发现, 这2个QTL可以在不同环境下和遗传背景中稳定表达。进一步上位性分析的结果表明, qLTG-11并不参与上位性互作, 而qLTG-7虽参与互作但其贡献率较小。1 相似文献
15.
Y. Xue S. Q. Zhang Q. H. Yao R. H. Peng A. S. Xiong X. Li W. M. Zhu Y. Y. Zhu D. S. Zha 《Euphytica》2008,164(3):739-744
In the present study, quantitative trait loci (QTLs) controlling seed storability based on relative germination rate (%) were
dissected using a saturated linkage map and a recombinant inbred lines (RILs) derived from a cross of japonica cultivar Asominori (Oryza sativa L.) and indica cultivar IR24 (Oryza sativa L.). A total of three QTLs (qRGR-1, qRGR-3 and qRGR-9) were detected on chromosomes 1, 3 and 9 with LOD score ranging from 3.45 to 6.95 and the phenotypic variance explained from
16.72% to 28.63%. The IR24 alleles were all associated with seed storability at all the three QTLs. The existence of these
QTLs was confirmed using IR24 chromosome segment substitution lines (CSSLs) in Asominori genetic background (AIS). By QTL
comparative analysis, the QTL, qRGR-9 on chromosomes 9 appeared to be consistent with another rice population, this region may provide an important region for
isolating this responsible gene. These results also provide the possibilities of enhancing Seed storability in rice breeding
program by marker-assisted selection (MAS) and pyramiding QTLs.
Y. Xue and S. Q. Zhang—joint first authors. 相似文献
16.
水稻苗期耐Cd胁迫的QTL定位分析 总被引：2，自引：0，他引：2
[目的]进行水稻苗期耐Cd胁迫的QTL初步定位。[方法]（1）以Lemont（美国）和Dular（印度）杂交建立的重组自交系（RILs）群体,包括123个家系和亲本在内,用含有0.2mg/L镉的水培液进行处理,以不加镉培养的水培液作为对照,考察了叶绿素含量、根长、株高、叶长等4个性状,并转换成抗性指数,用于评价水稻对Cd污染的抗性指标。（2）在已构建的以109个引物为基础的遗传图谱上进行复合区间定位。[结果]（1）共检测到9个加性QTLs,涉及1,2,3,11等4条染色体,其中,以叶绿素抗性指数为指标,检测到3个与耐Cd有关的QTLs 分别位于第2,3,11染色体上,解释了14%,9%,9%的表型变异;（2）以根长抗性指数为评价指标,只定到1个位于第1染色体上控制耐Cd的QTLs,解释了9%的表型变异; （3）用株高抗性指数进行定位,共有3个与耐Cd相关的QTLs,位于1,1,11染色体上,分别解释了10%,27%,10%的表型变异;（4）而以叶长抗性指数进行水稻秧苗耐Cd性表现的QTL定位,结果发现也有2个QTLs与其耐Cd 反应有关,它们分别位于1,11染色体上,解释了21%,12%的表型变异。分析表明,在采用不同评价指标所检测到的9个与耐Cd相关的QTLs中,有7个集中于第1和第11染色体上,其中第1染色体上有4个,第11染色体上有3个。（结论）以株高和叶绿素抗性指数为评价指标,检测到的QTLs最多,根长抗性指数为评价指标的最少。研究还发现在第1和第11染色体上的相同区间内同时检测到以不同抗性指数为评价指标的多个与耐Cd相关的QTLs,推测它们可能是功能相同的几个紧密连锁的非等位基因,也可能就是同一等位基因的不同表现形式,从而也说明了该评价指标用于基因定位的准确性和可行性。 相似文献
17.
Cold water irrigation and growth in low temperature phytotron are two commonly used methods to evaluate cold tolerance of rice at the seedling stage and the cold sensitive seedlings exhibit different injury symptoms, respectively. However, so far no one has systematically dissected the differences of cold tolerance at seedling stage in rice under the two cold environments. We used a recombinant inbred line (RIL) population derived from a cross of a cold-tolerant japonica cultivar, Lijiangxintuanheigu and a cold sensitive indica cultivar, Sanhuangzhan-2 for this study. The cold sensitive seedlings exhibited leaf yellowing after cold water irrigation and leaf rolling during growth in the low temperature phytotron. Leaf yellowing and leaf rolling in RILs was significantly correlated, but the correlation coefficient was low. A total of four quantitative trait locus (QTLs) on chromosomes 1, 6, 9 and 12 were detected using leaf yellowing and percent seedling survival as indicators of cold tolerance after cold water irrigation, while five QTLs on chromosomes 7, 8, 9, 11 and 12 were detected using leaf rolling and percent seedling survival as indicators of cold tolerance during growth in the low temperature phytotron. The two QTLs, qCTS-9 and qCTS-12 were detected using different evaluation indicators under the two cold environments. Our results suggest that rice cold tolerance mechanisms at the seedling stage differ between the two environments, but the detection of common QTL implies the existence of overlap in the metabolic pathways for cold tolerance. The two common QTLs have potential value in rice breeding. 相似文献
18.
Chun‐Fang Zhao Li‐Hui Zhou Ya‐Dong Zhang Zhen Zhu Tao Chen Qing‐Yong Zhao Shu Yao Xin Yu Cai‐Lin Wang 《Plant Breeding》2014,133(2):189-195
Nitrogen (N) deficiency is a major yield‐limiting factor in rice production. The objective of this study was to identify putative QTLs for low‐N stress tolerance of rice, using an advanced backcross population derived from crosses between an indica cultivar ‘93‐11’ and a japonica cultivar ‘Nipponbare’ and genotyped at 250 marker loci. Plant height, maximum root length, root dry weight, shoot dry weight and plant dry weight under two N conditions and their relative traits were used to evaluate low‐N tolerance at the seedling stage. A total of 44 QTLs were identified on chromosomes 1, 2, 3, 4, 5, 6, 8 and 9. Eight intervals on five chromosomes were identified to harbour multiple QTLs, suggesting pleiotropism or multigenic effects according to the contributor of alleles. Some QTL clusters were found in the nearby regions of genes associated with N recycling in rice, indicating that the key N metabolism genes might have effects on the expression of QTLs. Several unique QTLs for relative traits were detected, which suggested the specific genetic basis of relative performance. 相似文献
19.
利用回交导入系群体发掘水稻种质资源中的有利耐盐QTL 总被引：13，自引：5，他引：13
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140 mmol L-1 NaCl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QTL，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。对从种质资源中发掘“隐蔽”耐盐QTL进行了讨论。 相似文献
20.
Touming Liu Yushan Zhang Weiya Xue Caiguo Xu Xianghua Li Yongzhong Xing 《Euphytica》2010,172(3):383-394
The ability to detect quantitative trait loci (QTLs) in a bi-allelic population is often limited. The power of QTL detection
and identification of the most beneficial allele at each QTL could be greatly improved by comparing QTLs among different populations
derived from connecting multi-parents. In this study, three sets of connected recombinant inbred lines (RILs) derived from
the crosses between Zhenshan 97 and Minghui 63 (PZM), Zhenshan 97 and Teqing (PZT), and Minghui 63 and Teqing (PMT), respectively,
were used. QTL analyses for the number of spikelets per panicle (SPP) and 1,000-grain weight (TGW) were performed in PZT,
and five SPP QTLs on chromosomes 1, 6, and 7 and two TGW QTLs on chromosome 1 were detected. QTL for SPP was also identified
in PMT, and six QTLs were detected on chromosomes 1, 2, 3, 6, and 7 in this population. In an earlier study, we identified
five SPP QTLs and four TGW QTLs in PMT and nine TGW QTLs in PZM. Comparison of the QTL mapping results of these two studies
showed that one QTL was common to the three populations, 11 QTLs were detected in two populations, and six QTLs were found
in only one population. Comparison of genetic effect and the action direction of the QTLs detected in the three populations
showed that additive effects of QTLs estimated in different populations were also expressed additively among three parental
alleles. Additive effects of SPP7a estimated in three near-isogenic line F2 populations supported this finding. Based on these results, we suggest that pyramiding the most beneficial alleles among
the three parents could efficiently improve rice yield. 相似文献