利用耐低磷选择回交导入系群体定位水稻产量性状QTL

水稻磷素利用率低是影响水稻产量的重要因素之一。为了发掘水稻耐低磷有利基因、培育磷高效品种,选用生产上大面积推广应用的恢复系‘蜀恢527’、‘明恢86’作为轮回亲本,以‘爷驼崽’为供体亲本,构建了2个BC2F4耐低磷选择回交导入系群体。分别在正常施肥量条件下和低磷条件下对2个群体进行产量性状鉴定和分析,同时对2个群体进行了分子标记检测,利用性状-标记间的单向方差分析,对耐低磷选择回交导入系群体的产量性状进行QTL定位。分析结果表明：在不同环境、不同遗传背景下单株有效穗数、每穗实粒数与单株产量之间呈极显著正相关;产量构成因素中,单株有效穗数受低磷胁迫影响较大,是造成低磷条件下减产的主要原因。2个群体在正常条件和低磷条件下共检测到控制单株有效穗数QTL 11个,控制每穗实粒数QTL 10个,控制结实率QTL 10个,控制千粒重QTL 9个,控制单株产量QTL 13个;检测到一因多效的位点12个。研究结果对低磷品种的选育、相关有利基因的发掘利用和分子标记辅助选择有重要参考作用,选择导入系也为耐低磷育种提供了材料。     

低磷胁迫下水稻产量性状变化及其QTL定位

为研究低磷胁迫对水稻产量及其构成因素QTL表达的影响, 以耐低磷旱稻IRAT109和磷敏感水稻越富杂交的116个株系的DH群体为材料, 在低磷和正常栽培条件下, 调查了千粒重、结实率、有效穗数、穗粒数及单株产量等性状。结果表明, 结实率、有效穗数和单株产量对低磷胁迫的敏感性较大, 而千粒重、穗粒数对低磷胁迫的敏感性较小。利用水稻分子连锁图中94个RFLP标记和71个SSR标记, 依据以上5性状低磷胁迫下与对照的差值进行QTL定位。共检测出17个QTL, 其中12个对表型变异的贡献率大于10%。3、6和7号染色体上3个标记区域存在QTL成簇分布, 这些高贡献率QTL及成簇分布QTL可作为水稻耐低磷产量性状分子育种的重要候选区域。     

利用相同来源F2:3和BC2S1群体定位玉米生育期QTL

以普通玉米自交系丹232和爆裂玉米自交系N04为亲本构建259个F2:3和220个BC2S1家系群体,利用SSR标记构建分子标记遗传图谱,利用复合区间作图方法对4个生育期性状进行QTL定位和效应分析。利用F2:3群体共检测到4个抽雄期QTL、6个吐丝期QTL和3个散粉期QTL。单个QTL可解释的表型变异为6.7%~18.4%,可解释的表型总变异为28.9%~50.3%,11个QTL的增效基因来自生育期较长的亲本丹232,其余2个QTL的增效基因来自生育期较短的亲本N04;BC2S1群体检测到8个与4个生育期性状相关的QTL,单个QTL可解释的表型变异为4.5%~11.6%,可解释的表型总变异为13.2%~18.5%,增效基因来自两个亲本的QTL为3个和5个。两类群体检测出QTL的数目、位置、效应和贡献率均存在较大差异,主要原因在于BC2S1群体抽样选择所引起的群体结构差异,F2:3群体显示出较高的QTL检测能力,但回交育种过程中应慎重依据F2:3群体QTL定位结果进行标记辅助选择(MAS)。     

不同施磷条件下大豆植株农艺性状与磷效率的关系

【研究目的】为了寻找直观、简便、可靠的用于磷效率筛选的农艺性状指标,探讨大豆植株农艺性状与磷效率的关系,【方法】试验选用3个“磷低效”大豆基因型HND3、HND17和HND18及“磷高效”大豆基因型HND34、HND37和HND38,采用高、低磷土壤盆栽试验,对大豆基因型磷效率与植株农艺性状的关系进行了研究。【结果】结果表明,在相关分析中,低磷（-P）和高磷（＋P）处理的x1（株高）、x4（单株荚数）、x5（单株粒数）、x8（地上部干重）和x9（根干重）,（-P）处理x3（节数）和（＋P）处理x2（分枝数）与磷效率（籽粒产量）均达到了显著或极显著水平。经逐步回归分析,建立了回归方程：（-P）处理：y=391.629＋9.271x1-2.674x2＋7.236x4＋76.932x9;（＋P）处理：y=699.882＋3.572x1＋22.956x4-191.103x6。在通径分析中,各农艺性状对籽粒产量的重要性依次为：（-P）处理：株高（0.456）〉单株荚数（0.360）〉根干重（0.267）〉分枝数（-0.021）;（＋P）处理：单株荚数（0.845）〉株高（0.126）〉每荚粒数（-0.117）。【结论】研究表明,在磷高效大豆基因型筛选中,应该考虑高、低磷条件下株高、单株荚数和根干重的综合表现。     

两种磷水平下玉米产量性状的变化及其QTL定位

为了解低磷胁迫下玉米产量性状的影响及其遗传基础,以玉米重组自交系为研究材料,分别在低磷处理和正常条件下,比较供试群体的产量及构成性状的变化,并运用复合区间作图法对其进行QTL定位。结果表明,单株产量、穗重和轴重等性状受低磷胁迫影响较大,出籽率、穗行数和粒深等性状受低磷胁迫影响较小;通径分析表明,低磷胁迫主要通过影响行粒数、百粒质量和粒深构成性状导致了单株产量的损失。在2种磷水平下共检测到23个产量及其构成性状QTL;单个QTL可解释的表型变异为4.32%~14.77%;其中,标记区间bnlg666~umc1141和umc1108~bnlg1258分布了不同性状的多个QTL。这些成簇分布QTL的染色体区域和低磷胁迫条件QTL,可为开展玉米耐低磷分子育种提供参考。     

不同生长环境下水稻穗抽出度三个相关性状QTL定位研究

在3个生长环境下种植水稻Nipponbare/Kasalath//Nipponbare回交重组自交系（backcross inbred lines,BILs）98个家系（BC1F12和BC1F13）及其亲本,调查剑叶叶鞘长度、最上节间长度和包颈长度,运用复合区间作图方法（CIM）,在全基因组5%显著水平上,对这3个性状进行了QTL分析。结果表明,共检测到3个剑叶叶鞘长度性状的QTL,分布于第1、3、4染色体,解释表型变异的12.83%～18.50%;qFLL-1位点在3个环境中均被检测到,增效等位基因来自Nipponbare,qFLL-3和qFLL-4位点在单个环境中被检测到,增效等位基因均来自Kasalath。共检测到3个最上节间长度性状的QTL,分别位于第1、3、6染色体,解释表型变异的5.64%～14.18%;qUIL-6位点在3个环境中都被检测到,增效等位基因来自Nipponbare,其余2个QTL均在2个环境中被检测到,增效等位基因均来自Kasalath。共检测到4个包颈长度性状的QTL,分布于第1、3、5、10染色体,解释表型变异的6.80%～17.76%;qPEL-10在3个环境中均被检测到,qPEL-5在两个环境中被检测到,这两个位点增效等位基因来自Nipponbare,其余2个位点分别在单个环境中被检测到,增效等位基因均来自Kasalath。     

甘蓝型油菜重组自交系苗期磷效率的评价

设置低磷P1 (5 μmol L^-1)和高磷P2 (1 000 μmol L^-1)处理水培甘蓝型油菜重组自交系群体的135个株系及亲本的幼苗, 以地上部干重(SDW)、根干重(RDW)、根冠比(R/S)、主根长(AMRL)、地上部磷积累量(SPU)、总磷吸收量(TPU)、磷利用效率(PUE)作为耐性指标, 调查群体各株系和亲本间对缺磷反应的差异, 并对各性状参数与磷吸收、利用效率进行相关性分析。结果表明: (1) 低磷胁迫严重抑制甘蓝型油菜苗期生长, 所调查的各性状均表现出显著差异,其中地上部干重和根干重的变异系数较大;(2) 2种处理条件下, 各株系的地上部干重、根干重、根冠比和主根长4个性状均表现出显著分离, 并呈现正态分布,低磷处理的分离更为明显;(3) 相关性分析表明, 相对地上部干重和根干重可以作为磷效率的主要评价指标,为了避免遗传因素影响, 还应考虑低磷处理下基因型各性状的绝对差异;(4) 通过上述筛选指标,确定065﹑102﹑070为候选的极端磷高效基因型, 105﹑076﹑011等为候选的极端磷低效基因型。     

不同生长环境下水稻穗抽出度3个相关性状QTL定位研究

在3个生长环境下种植水稻Nipponbare/Kasalath//Nipponbare 回交重组自交系（backcross inbred lines,BILs）98个家系(BC1F12和BC1F13)及其亲本,调查剑叶叶鞘长度、最上节间长和包颈长度,运用复合区间作图方法（CIM）,在全基因组5％显著水平上,对这3个性状进行了QTL分析。结果表明,共检测到3个剑叶叶鞘长度性状的QTL,分布于第1、3、4染色体,解释表型变异的12.83%~18.50%;qFLL-1位点在3个环境中均被检测到,增效等位基因来自Nipponbare,qFLL-3和qFLL-4位点在单个环境中被检测到,增效等位基因均来自Kasalath。共检测到3个最上节间长度性状的QTL,分别位于第1、3、6染色体,解释表型变异的5.64%~14.18%;qUIL-6位点在3个环境中都被检测到,增效等位基因来自Nipponbare,其余2个QTL均在2个环境中被检测到,增效等位基因均来自Kasalath。共检测到4个包颈长度性状的QTL,分布于第1、3、5、10染色体,解释表型变异的6.8%~17.76%;qPEL-10在3个环境中均被检测到,qPEL-5在两个环境中被检测到,这两个位点增效等位基因来自Nipponbare,其余2个位点分别在单个环境中被检测到,增效等位基因均来自Kasalath。     

水稻耐低磷种质的苗期筛选与鉴定

从以成恢448为轮回亲本，M401为供体亲本构建的回交后代BC₁F₆筛选出的耐低磷材料（GP9）和低磷敏感材料（GP14）及其亲本用于盆栽试验，设置P2（2.31 mg/kg）、P30（30 mg/kg）和P80（80 mg/kg）3个磷处理水平，以P80处理为对照计算性状相对值，研究不同磷处理浓度对供试材料6个生物学性状的影响。结果表明，P2处理较P30处理更能反映不同材料性状相对值间的差异，宜用于苗期耐低磷筛选。P2处理时，GP9与GP14及其亲本播种后52 d、59 d和66 d的相对分蘖数差异均达极显著水平，建议采用相对分蘖数作为水稻苗期耐低磷筛选的主要鉴别指标。同时，运用相对叶面积、相对绿叶数和相对叶龄进行综合评定。     

不同生态环境下玉米产量性状QTL分析

以玉米（Zea mays L.）自交系黄早四和Mo17为亲本得到的191个F₂单株为作图群体,衍生的184个F_2∶3 家系作为性状评价群体,分析了单株穗数、穗行数、行粒数、百粒重和单株籽粒产量在北京和新疆2个生态环境下的表现和数量性状基因位点的定位结果。QTL检测结果表明,2个环境共检测出47个QTL,分布于除第10染色体以外的9条染色体,其中与单株穗数相关的QTL共10个,可解释的表型变异为5.3%~25.6%;与穗行数相关的QTL共13个,可解释的表型变异为4.5%~23.2%;与行粒数相关的QTL有9个,解释的表型变异为5.4%~13.7%;与百粒重相关的QTL达10个,可解释的表型变异为4.9%~13.3%;与单株籽粒产量相关的QTL有5个,可解释的表型变异为6.1%~35.8 %。大部分产量QTL只在单一环境下被检测到,说明产量相关QTL与环境之间存在明显的互作。表型相关显著的产量性状,它们的QTL容易在相同或相邻标记区间检测到。研究还发现了若干个QTL富集区域,可能是发掘通用QTL的候选位点。     

QTL mapping of phosphorus deficiency tolerance in soybean (Glycine max L. Merr.)

Phosphorus (P) deficiency is a major abiotic stress that limits plant growth and crop productivity throughout the world. In the present study, 184 recombinant inbred line (RIL) families developed from soybean varieties Kefeng No. 1 and Nanong 1138-2 were used to identify quantitative trait loci (QTL) associated with P deficiency tolerance. Seven traits of plant height (HT), weight of fresh shoot (FSW), weight of fresh root (FRW), weight of dry root (DRW), length of main root (RL), phosphorus content in leaf (LP), phosphorus content in root (RP), were used as parameters to assess the phosphorus deficiency tolerance. The QTL mapping for the seven traits was performed using the program WinQTLCart. Seven QTLs were detected and mapped on two linkage groups for three traits of weight of fresh shoot, phosphorus contents in leaf and in root. The QTLs that had LOD scores more than three were detected for all of the three traits above. Most of the QTLs explained more than 10% of the total variation. The two QTLs for phosphorus content in leaf explained more than 20% of the total variation, respectively. Five QTLs were mapped on linkage group F2, and two on linkage F1. It was suggested that the genes related to phosphorus deficiency tolerance located on linkage group F in soybean.Contributed equally to this work.     

Detection of quantitative trait loci for phosphorus deficiency tolerance at soybean seedling stage

Phosphorus deficiency is a primary constraint to soybean productivity in acid and calcareous soils. Our aim was to map quantitative trait loci (QTL) controlling phosphorus deficiency tolerance using 152 recombinant inbred lines derived from a cross between the P stress tolerant variety Nannong94-156 and the P stress sensitive variety Bogao. Five traits were used as parameters to evaluate phosphorus deficiency tolerance at seedling stage under different phosphorus levels in experiments 2005 and 2006. As a result, thirty-four additive QTLs were detected on nine linkage groups, with corresponding contribution ratios of 6.6–19.3%. There were three clusters of QTL found in genomic regions S506-Satt534 (on linkage group B2-1), Sat_183-Satt274 (on linkage group D1b + W), and Sat_185-Satt012 (on linkage group G). The locus flanked by Sat_183-Satt274 on linkage group D1b + W was coincident with four previously discovered QTLs with phosphorus efficiency. Another interesting locus flanked by Sat_185-Satt012 on linkage group G was detected across years. The identified QTL will be useful to improve the stress resistance of soybean against a complex nutritional disorder caused by phosphorus deficiency. In addition, more QTLs were detected under low phosphorus condition and some QTLs were detected that specifically expressed under different phosphorus levels. These particular QTLs could help provide greater understanding of the genetic basis of phosphorus efficiency in soybean.     

Association analysis for detecting significant single nucleotide polymorphisms for phosphorus-deficiency tolerance at the seedling stage in soybean [Glycine max (L) Merr.]

Tolerance to low-phosphorus soil is a desirable trait in soybean cultivars. Previous quantitative trait locus (QTL) studies for phosphorus-deficiency tolerance were mainly derived from bi-parental segregating populations and few reports from natural population. The objective of this study was to detect QTLs that regulate phosphorus-deficiency tolerance in soybean using association mapping approach. Phosphorus-deficiency tolerance was evaluated according to five traits (plant shoot height, shoot dry weight, phosphorus concentration, phosphorus acquisition efficiency and use efficiency) comprising a conditional phenotype at the seedling stage. Association mapping of the conditional phenotype detected 19 SNPs including 13 SNPs that were significantly associated with the five traits across two years. A novel cluster of SNPs, including three SNPs that consistently showed significant effects over two years, that associated with more than one trait was detected on chromosome 3. All favorable alleles, which were determined based on the mean of conditional phenotypic values of each trait over the two years, could be pyramided into one cultivar through parental cross combination. The best three cross combinations were predicted with the aim of simultaneously improving phosphorus acquisition efficiency and use efficiency. These results will provide a thorough understanding of the genetic basis of phosphorus deficiency tolerance in soybean.     

QTL mapping for seedling traits associated with low‐nitrogen tolerance using a set of advanced backcross introgression lines of rice

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.     

Mapping of QTLs associated with cadmium tolerance and accumulation during seedling stage in rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.)

Cadmium (Cd) is a non-essential element and toxic to plants. To investigate the genetics of Cd tolerance and accumulation in rice, quantitative trait loci (QTL) associated with Cd tolerance and accumulation at the seedling stage were mapped using a doubled haploid (DH) population derived from a cross between a japonica JX17 and an indica ZYQ8. A total of 22 QTLs were found to be associated with shoot height (SH), root length (RL), shoot dry weight (SDW), root dry weight (RDW), total dry weight (TDW) and chlorophyll content (CC), and 10 and 12 QTLs were identified under the control and Cd stress conditions, respectively. For Cd tolerant coefficient (CTC), 6 QTLs were detected on chromosomes 1, 3, 5, 8 and 10. Under Cd stress, 3 QTLs controlling root and shoot Cd concentrations were mapped on chromosome 6 and 7. One QTL for shoot/root rate of Cd concentration was identified on chromosome 3. The results indicated that Cd tolerance and accumulation were quantitatively inherited, and the detected QTLs may be useful for marker-assistant selection (MAS) and identification of the genes controlling Cd tolerance and accumulation in rice.     

Genetic regulation of growth and nutrient content under phosphorus deficiency in the wild barley introgression library S42IL

Phosphorus (P) is an important macronutrient required for plant growth and yield formation. Since decades, breeders aim to optimize P efficiency in crops. We studied a set of 47 wild barley (Hordeum vulgare ssp. spontaneum, Hsp) introgression lines (ILs) in hydroponic culture to identify quantitative trait loci (QTLs) improving growth and nutrient content under P deficiency. Applying a mixed model analysis, a total of 91 independent QTLs were located among 39 ILs, of which 64 QTLs displayed trait‐improving Hsp effects. For example, an unknown Hsp allele on barley chromosome 4H increased shoot dry weight under P deficiency in three overlapping ILs by 25.9%. Likewise, an Hsp allele on barley chromosome 6H increased root dry weight under P deficiency in two overlapping ILs by 27.6%. In total, 31 QTLs confirmed Hsp effects already identified in previous field and glasshouse experiments with the same ILs. We conclude that wild barley contains numerous trait‐improving QTL alleles, which are active under P deficiency. In future, the underlying genes can be subjected to cloning and, simultaneously, used in elite barley breeding.     

大豆根区逆境耐性的种质鉴定及其与根系性状的关系

依根系类型从黄淮海和长江中下游地区301份代表性材料中选取62份，以株高、叶龄、地上部干物重、地下部干物重为指标，采用平均隶属函数值方法鉴定了苗期耐旱性、苗期耐铝毒性，加上主茎节数、分枝数、单株荚数、单株粒数、百粒重等性状鉴定了后期耐旱性，并通过钒钼黄比色法测定植株P含量鉴定了苗期耐低磷性。筛选出1级苗期     

利用“永久F2”群体进行小麦幼苗根系性状QTL分析

为了研究小麦苗期根系性状的遗传,以小麦品种花培3号和豫麦57的杂交DH群体组配了一套含168个杂交组合的“永久F₂”群体。利用WinRHIZO根系分析系统测定四叶一心期小麦水培幼苗根系总长度、直径、表面积、体积、根尖数、最大根长、茎叶干重、根干重及根茎干重比9个性状。采用复合区间作图法分析幼苗根系8个性状的QTL,定位了7个加性效应QTL和12对上位性互作QTL,包括加性效应、显性效应,加加互作、加显互作和显显互作,分布在1A、1D、2A、2B、2D、3A、3B、5D、6D和7D染色体上,单个QTL可解释0.01%~11.91%的遗传变异。在染色体2D上XWMC41至XBARC349.2区间检测到同时控制总根长和根干重的一个QTL。上位性对苗期根系生长发育有重要作用。试验结果表明,苗期根系性状的遗传机制较复杂, 因此在育种中要综合考虑根系各性状之间的关系,保证根系协调统一、发达健壮。     

Detection of QTLs for salt tolerance in Asian barley (Hordeum vulgare L.) by association analysis with SNP markers

Two hundred ninety-six Asian barley (Hordeum vulgare L.) accessions were assessed to detect QTLs underlying salt tolerance by association analysis using a 384 single nucleotide polymorphism (SNP) marker system. The experiment was laid out at the seedling stage in a hydroponic solution under control and 250 mM NaCl solution with three replications of four plants each. Salt tolerance was assessed by leaf injury score (LIS) and salt tolerance indices (STIs) of the number of leaves (NL), shoot length (SL), root length (RL), shoot dry weight (SDW) and root dry weight (RDW). LIS was scored from 1 to 5 according to the severity of necrosis and chlorosis observed on leaves. There was a wide variation in salt tolerance among Asian barley accessions. LIS and STI (SDW) were the most suitable traits for screening salt tolerance. Association was estimated between markers and traits to detect QTLs for LIS and STI (SDW). Seven significant QTLs were located on chromosomes 1H (2 QTLs), 2H (2 QTLs), 3H (1 QTL), 4H (1 QTL) and 5H (1 QTL). Five QTLs were associated with LIS and 2 QTLs with STI (SDW). Two QTLs associated with LIS were newly identified on chromosomes 3H and 4H.