玉米重金属铅(Pb~(2+))含量的配合力分析与育种对策

选择有代表性的12个玉米自交系,按Griffing4模式组配获得66个组合(F1),用温室盆栽,在3个Pb2+污染水平下对叶片和子粒Pb2+含量配合力和遗传参数进行分析。结果表明:玉米叶片和子粒的Pb2+含量一般配合力与特殊配合力差异均达到显著水平,非加性方差大于加性方差,遗传方差大于环境方差,广义遗传率大于狭义遗传率,该性状的变异主要来自遗传因素,遗传力较强。玉米种质筛选过程中,土壤Pb2+浓度在333.32 mg/kg以下,用亲本郑58组配的组合在筛选时不仅注重子粒Pb2+含量未超标而且要注重叶片Pb2+高富集,其主要是兼顾饲料和粮食安全的同时进行土壤Pb2+污染的生物修复;土壤Pb2+浓度高于715.46 mg/kg时,用亲本178组配的组合筛选应注意叶片和子粒低Pb2+积累的种质选育,对今后在不同Pb2+污染土壤中开展玉米品种筛选和规避污染育种策略的选择具有一定的指导意义。     

水稻籽粒锌含量的QTL定位

锌元素的营养失衡已成为影响人类健康的最重要因素之一,籽粒锌含量的QTL（quantitative trait loci）定位对研究富锌水稻的遗传育种具有重要的意义。以水稻（Oryzasativa L．）亲本奉新红米和明恢100杂交的145个株系的F2群体为实验材料,利用92个SSR（simple sequence repeat）标记对水稻籽粒锌含量进行了QTL定位,共检测到3个QTLs,分别定位于第3、6和11染色体上,对表型变异的贡献率分别为4．97％、12．75％和7．74％。其中位于第3染色体上的分子标记RM186和RM168之间的QZN3对表型变异的贡献率最大,其增效等位基因来自亲本明恢100,表现为部分显性。3个QTLs的联合贡献率为25．46％。具有基因累加效应。该研究结果有利于深入理解水稻锌含量的遗传基础,为锌含量的QTL精细定位、基因克隆和分子标记辅助选择提供依据。     

水稻籽粒锌含量的QTL 定位

锌元素的营养失衡已成为影响人类健康的最重要因素之一, 籽粒锌含量的QTL(quantitative trait loci)定位对研究富锌水稻的遗传育种具有重要的意义。以水稻(Oryza sativa L.)亲本奉新红米和明恢100杂交的145个株系的F2群体为实验材料, 利用92个SSR(simple sequence repeat)标记对水稻籽粒锌含量进行了QTL定位, 共检测到3个QTLs , 分别定位于第3、6和11染色体上, 对表型变异的贡献率分别为4.97%、12.75%和7.74%。其中位于第3染色体上的分子标记RM186和RM168之间的QZN3对表型变异的贡献率最大, 其增效等位基因来自亲本明恢100, 表现为部分显性。3个QTLs 的联合贡献率为25.46%, 具有基因累加效应。该研究结果有利于深入理解水稻锌含量的遗传基础, 为锌含量的QTL精细定位、基因克隆和分子标记辅助选择提供依据。     

水稻糙米重金属Cd含量的QTL分析

镉(Cd²⁺)是一种分布较广泛、毒性较强的一种重金属, 文章利用韭菜青×IR26杂交衍生的一个重组自交系群体(Recombinant inbred lines, RIL)及构建的SSR分子遗传图谱, 对控制糙米中Cd²⁺含量的QTL进行分析, 为选育籽粒中Cd²⁺低吸收或低积累的水稻品种提供参考。结果表明, 在Cd²⁺胁迫(5 mg/kg)处理条件下, 共检测到2个与糙米Cd²⁺含量有关的QTLs, 分别位于水稻第11染色体上的标记RM6288-RM6544和RM167-RM5704之间, 其中qCCBR-11a对表型贡献率为11.17%, 加性效应0.089; qCCBR-11b对表型变异贡献率为7.66%, 加性效应0.075。相关分析显示, 糙米Cd²⁺含量与株高、每穗总粒数、每穗实粒数、结实率和千粒重等产量性状的相关性均不显著, 糙米中Cd²⁺含量是一个相对独立、由基因控制的遗传性状。     

玉米叶绿素含量的QTL定位

为了探讨玉米叶绿素含量的遗传规律, 以A150-3-2×Mo17杂交组配的189个F2单株作为作图群体, 构建了具有112个标记位点的玉米分子遗传图谱, 于喇叭口期和开花期分别进行了玉米叶绿素a含量(chla), 叶绿素b含量(chlb), 其他叶绿素含量(chlc)和叶绿素总含量(chlz)4个性状的测定, 并进行QTL分析。在喇叭口期和开花期共检测到32个QTL, 分布在除第6和10染色体以外的其他染色体上。在喇叭口期检测到24个QTL, 分布于第1、2、3、5、7、8和9染色体上, 叶绿素a、叶绿素b、其他叶绿素和叶绿素总含量各检测到6个QTL, 在同一区间内检测到的4个性状的QTL之间的距离在0~2 cM之间。喇叭口期检测到控制叶绿素a、叶绿素b、其他叶绿素和叶绿素总含量的4个主效QTL位于第5染色体上的umc1098~bnlg557区间, 分别可解释表型变异的11.63%、10.3%、10.77%和11.51%。开花期检测到8个QTL, 分布于第4和5染色体上。其中叶绿素a、叶绿素b、其他叶绿素和叶绿素总含量各2个QTL。标记umc1098和bnlg557之间同时存在控制喇叭口期4个叶绿素含量性状的QTL和开花期控制叶绿素a和叶绿素b的QTL。标记umc2308和bnlg386之间只存在控制开花期4个叶绿素含量性状的QTL。     

小麦籽粒品质性状的QTL分析

利用小麦中国春(母本)和兰考大粒(父本)F2群体构建了169个标记的分子遗传图谱,将F2∶3家系分别种植于3个环境中,利用基于完备区间混合模型的单环境作图模型和多环境作图模型对小麦籽粒容重、硬度、蛋白含量和结合水含量性状进行了QTL分析。结果显示:(1)两种作图模型下,检测到容重的6个共同QTL(QTW-6B-6、QTW-7B-6、QTW-7B-9、QTW-5D-2、QTW-6D-1、QTW-6D-4),单环境模型下遗传贡献率为1.99%~6.57%,多环境模型下遗传贡献率为3.66%~20.07%,其中QM TW-7B-9、QM TW-6D-1和QM TW-6D-4在多环境模型中表现为主效QTL。(2)检测到硬度的3个共同QTL(QHD-4A-5、QHD-7A-1和QHD-7B-9),单环境模型下的遗传贡献率为6.00%~6.95%,多环境模型中遗传贡献率为5.43%~9.64%。(3)检测到蛋白含量1个共同QTL(QPR-6D-1),单环境模型下的遗传贡献率为5.39%,多环境模型中遗传贡献率为10.06%,表现为主效QTL。(4)检测到籽粒结合水含量1个共同QTL(QMO-1B-4),单环境模型下的遗传贡献率为39.20%,多环境模型下的遗传贡献率为75.01%,均表现为主效QTL。(5)1B染色体上存在同时控制籽粒容重、硬度、蛋白和结合水含量的QTL,说明1B染色体对小麦品质的影响可能很大。研究表明,小麦容重、硬度、蛋白含量、结合水含量的遗传主要受加性效应控制。该研究初步定位的一些重要QTL可为进一步精细定位、基因挖掘和育种早代品质性状分子标记辅助选择提供依据。     

玉米重金属铅含量的配合力分析与育种对策

选择有代表性的12个玉米自交系,按Griffing4模式组配获得66个组合(F1),用温室盆栽,在3个Pb2+污染水平下对叶片和子粒Pb2+含量配合力和遗传参数进行分析。结果表明:玉米叶片和子粒的Pb2+含量一般配合力与特殊配合力差异均达到显著水平,非加性方差大于加性方差,遗传方差大于环境方差,广义遗传率大于狭义遗传率,该性状的变异主要来自遗传因素,遗传力较强。玉米种质筛选过程中,土壤Pb2+浓度在333.32 mg/kg以下,用亲本郑58组配的组合在筛选时不仅注重子粒Pb2+含量未超标而且要注重叶片Pb2+高富集,其主要是兼顾饲料和粮食安全的同时进行土壤Pb2+污染的生物修复;土壤Pb2+浓度高于715.46 mg/kg时,用亲本178组配的组合筛选应注意叶片和子粒低Pb2+积累的种质选育,对今后在不同Pb2+污染土壤中开展玉米品种筛选和规避污染育种策略的选择具有一定的指导意义。     

玉米RFLP连锁图谱构建及大斑病QTL定位

玉米大斑病菌存在有生理小种分化的现象,目前5个已定名的生理小种在我国均已发现,还有一些尚未定位名的新类群也出出现,提高玉米对大斑病的抗性,只有提高数量抗性才能达到目的,为了弄清楚玉米对大斑病数量抗性的基因数目及效效应,利用抗病自交5系P138和感病自交系缩3为亲本构建了F2：3家系群体,采用RFLP标记构建了包含了124个标记的玉米RFLP连锁图,覆盖玉米基因组1999．8cM,标记间平均距离为16．5cM,定位了玉米大斑病的病斑长,病斑宽和病斑面积的QTL分别为3、3、2个,其联合贡献率分别为58．1％、71．5％和27．5％,没有检测到病斑数／叶的QTL,其表现为单基因或者寡基因控制的性状,研究结果增加了对玉米大斑病的认识,对玉米抗大斑病育种具有重要的指导意义。     

玉米抗南方锈病基因的QTL定位

为发掘新的抗南方锈病基因资源,本研究以感病自交系黄早四为母本、抗病自交系W456为父本,构建F2群体并开展抗病基因定位研究。采用人工接种鉴定的方法对两个亲本、F1、F2群体及对照材料进行表型鉴定和遗传分析。利用均匀覆盖10条染色体的200个SSR标记,分析240个F2单株的基因型并构建含有200个SSR位点的遗传连锁图,连锁图总长度3331 cM,标记间平均距离16.6 cM。使用QTL IciMapping V4.1软件中的完备区间作图法对抗病QTL进行分析,共检测到6个控制南方锈病的QTL:qSCR3、qSCR7、qSCR8-1、qSCR8-2、qSCR9和qSCR10,邻近标记分别为umc2105和umc1729、umc1066和bnlg2271、umc1904和umc1984、umc1984和bnlg1651、umc1957和bnlg1401、umc2034和umc1291,分别位于3、7、8、9和10号染色体上,其中8号染色体上有两个位点,标记区间长度在5～19 cM之间。单个QTL的表型贡献率在2.61%～24.19%之间,可以解释表型总变异的62.3%,其中3个QTL贡献率大于10%,位于10号染色体上的qSCR10贡献率最大,可解释表型变异的24.19%。通过对目标区间标记加密,将该位点的定位区间进一步缩小到2.51 cM内,与两侧标记的距离分别是2.15 cM和0.36 cM。初步定位得到10号染色体上存在抗南方锈病的主效QTL,可为抗病品种的培育提供参考。     

利用三倍体胚乳遗传模型定位玉米籽粒淀粉含量QTL

在两种环境条件下种植以普通玉米自交系丹232和爆裂玉米自交系N04为亲本构建的259个F2:3家系群体, 采用SSR标记构建了包含183个标记的玉米遗传连锁图谱, 覆盖玉米基因组1 762.2 cM, 标记间平均距离为9.6 cM。利用三倍体胚乳遗传模型和区间作图方法对籽粒淀粉含量进行了QTL定位和遗传效应分析, 春、夏播条件下共检测到10个QTL, 春播条件下检测到的QTL在夏播均被检测到, 分别位于第1、3、4、5、7染色体上,可解释淀粉的表型总变异分别为36.84%和72.65%, 单个QTL解释表型变异介于4.74%~11.26%。在检测到的 QTL中, 有2个QTL的遗传作用方式在春播均表现为超显性, 而夏播分别为加性和部分显性; 其他2个为加性, 1个为部分显性, 5个为超显性。3个QTL的增效基因来自丹232, 其余QTL的增效基因均来自N04。     

Ivr2, a candidate gene for a QTL of vacuolar invertase activity in maize leaves. Gene-specific expression under water stress

Water shortage produced an early and large stimulation of acid- soluble invertase activity in adult maize leaves whereas cell wall invertase activity remained constant. This response was closely related to the mRNA level for only one of the invertase gene (Ivr2), encoding a vacuolar isoform. In parallel, four quantitative trait loci (QTLs) were detected for invertase activity under control and nine under stressful conditions. One QTL in control and one in stressed plants was located near to the lvr2 gene on chromosome 5. Other QTLs for invertase activity were found close to carbohydrate QTLs; some of them formed stress clusters.     

Mapping QTLs for root traits under different nitrate levels at the seedling stage in maize (Zea mays L.)

Nitrogen (N) loss is a worldwide problem in crop production. Apart from reasonable N fertilizer application, breeding N efficient cultivars provides an alternative way. Root architecture is an important factor determining N acquisition. However, little is known about the molecular genetic basis for root growth in relation to N supply. In the present study, an F₈ maize (Zea may L.) recombinant inbred (RI) population consisting of 94 lines was used to identify the QTLs for root traits under different nitrate levels. The lateral root length (LRL), axial root length (ARL), maximal axial root length (MARL), axial root number (ARN) and average axial root length (AARL) were evaluated under low N (LN) and high N (HN) conditions in a hydroponics system. A total of 17 QTLs were detected among which 14 loci are located on the same chromosome region as published QTLs for root traits. A major QTL on chromosome 1 (between bnlg1025 and umc2029) for the AARL under LN could explain 43.7% of the phenotypic variation. This QTL co-localizes with previously reported QTLs that associate with root traits, grain yield, and N uptake. Our results indicate that longer axial roots are important for efficient N acquisition and the major QTL for AARL may be used as a marker in breeding N efficient maize genotypes.     

发状念珠蓝细菌细胞对Cu2+、Cr2+和Pb2+胁迫的响应

[目的] 对发状念珠蓝细菌细胞进行重金属离子Cu2+(CuSO4)、Cr2+(CrCl2)和Pb2+(PbCl2)胁迫,探讨发状念珠蓝细菌细胞对重金属离子胁迫的响应.[方法] 25℃,80 μmol/(m·s)光照下,BG11培养液培养发状念珠蓝细菌,利用不同浓度(0、0.1、1.0、10、100 mg/L) Cu2+、Cr2+和pb2+胁迫发状念珠蓝细菌细胞,测定其质膜透性、超氧化物歧化酶活性、丙二醛含量、脯氨酸含量、可溶性蛋白含量以及海藻糖含量,分析发状念珠蓝细菌细胞对重金属离子胁迫的响应.[结果] 在Cu2、Cr2和pb2胁迫下,发状念珠蓝细菌细胞的外渗率和丙二醛(malondialdehyde)含量随着重金属离子浓度的升高而升高,相对渗透率和膜脂过氧化水平的变化趋势一致.超氧化物歧化酶(superoxide dismutase)活性随重金属离子浓度的升高先升后降,脯氨酸含量随着重金属离子处理浓度的升高,呈先降后升的趋势,可溶性糖含量随浓度的增大而减少.[结论] 低浓度的重金属离子可以诱导发状念珠蓝细菌细胞产生结构和生理的应激响应,高浓度会导致发状念珠蓝细菌细胞膜结构和功能的严重损害.     

Mapping QTLs of root morphological traits at different growth stages in rice

Roots are a vital organ for absorbing soil moisture and nutrients and influence drought resistance. The identification of quantitative trait loci (QTLs) with molecular markers may allow the estimation of parameters of genetic architecture and improve root traits by molecular marker-assisted selection (MAS). A mapping population of 120 recombinant inbred lines (RILs) derived from a cross between japonica upland rice 'IRAT109' and paddy rice 'Yuefu' was used for mapping QTLs of developmental root traits. All plant material was grown in PVC-pipe. Basal root thickness (BRT), root number (RN), maximum root length (MRL), root fresh weight (RFW), root dry weight (RDW) and root volume (RV) were phenotyped at the seedling (I), tillering (II), heading (III), grain filling (IV) and mature (V) stages, respectively. Phenotypic correlations showed that BRT was positively correlated to MRL at the majority of stages, but not correlated with RN. MRL was not correlated to RN except at the seedling stage. BRT, MRL and RN were positively correlated to RFW, RDW and RV at all growth stages. QTL analysis was performed using QTLMapper 1.6 to partition the genetic components into additive-effect QTLs, epistatic QTLs and QTL-by-year interactions (Q x E) effect. The results indicated that the additive effects played a major role for BRT, RN and MRL, while for RFW, RDW and RV the epistatic effects showed an important action and Q x E effect also played important roles in controlling root traits. A total of 84 additive-effect QTLs and 86 pairs of epistatic QTLs were detected for the six root traits at five stages. Only 12 additive QTLs were expressed in at least two stages. This indicated that the majority of QTLs were developmental stage specific. Two main effect QTLs, brt9a and brt9b, were detected at the heading stage and explained 19% and 10% of the total phenotypic variation in BRT without any influence from the environment. These QTLs can be used in breeding programs for improving root traits.     

Comparative study of QTLs for agronomic traits of riceOriza sativa L.) between salt stress and nonstress environment

Genotype-by-environment interactions (GxE) are commonly observed for quantitative traits. In the present study, a doubled haploid (DH) population and its genetic linkage map were used to comparatively study QTLs in salt stress and nonstress environments. A total of 24 QTLs were detected for five agronomic traits, which were distributed on all the chromosomes except 9 and 11. Under the salt stress, nine (37.5%) QTLs were detected, including one for 1 000-grain weight (GW), two for heading date (HD), one for plant height (PH), two for grains per panicle (GPP), and three for effective tillers (ET), while in the nonstress environment, 17 QTLs (70.8%) were detected, including five for GW, six for HD, three for PH, two for GPP, and one for ET. Two QTLs (8.3%) were consistently detected in both environments. One was identified on chromosome 4 for HD and the other on Chr.6 for GPP. Furthermore, three regions carrying multiple QTLs were identified on chromosomes 1, 4 and 8 respectively. For example, on chromosome 8, three QTLs for HD, GW and PH, respectively were identified between RG885-GA408 in nonstress environment, but not in the stress environment. The comparative study of QTLs detected in extremely different (salt stress and nonstress) environments revealed that there existed several QTLs for important agronomic traits on chromosome 8 which were affected significantly by salt stress.     

Comparative study of QTLs for agronomic traits of rice (Oriza sativa L.) between salt stress and nonstress environment

Genotype-by-environment interactions (GxE) are commonly observed for quantitative traits. In the present study, a doubled haploid (DH) population and its genetic linkage map were used to comparatively study QTLs in salt stress and nonstress environments. A total of 24 QTLs were detected for five agronomic traits, which were distributed on all the chromosomes except 9 and 11. Under the salt stress, nine (37.5%) QTLs were detected, including one for 1 000-grain weight (GW), two for heading date (HD), one for plant height (PH), two for grains per panicle (GPP), and three for effective tillers (ET), while in the nonstress environment, 17 QTLs (70.8%) were detected, including five for GW, six for HD, three for PH, two for GPP, and one for ET. Two QTLs (8.3%) were consistently detected in both environments. One was identified on chromosome 4 for HD and the other on Chr.6 for GPP. Furthermore, three regions carrying multiple QTLs were identified on chromosomes 1, 4 and 8 respectively. For example, on chromosome     

NaCl胁迫下棉花体内 Na~+ 、K~+分布与耐盐性

采用盐化土壤方法 ,选择苗期耐盐性较强的陆地棉品种枝棉 3号和中棉所 1 9及耐盐性较弱的品种泗棉 2号和苏棉 1 2号 ,研究了盐胁迫下棉苗体内 Na+、K+的运输和分配与耐盐性的关系。结果表明 ,耐盐品种根系具有一定的截留 Na+作用。棉花地上部盐分器官水平上的区域化分布特征明显 :2 0 0 mmol/L Na Cl胁迫下 ,枝棉 3号叶片中的 Na+含量显著低于泗棉 2号 ,茎及叶柄中的 Na+含量显著高于泗棉 2号 ;棉株地上部茎、叶柄、叶片中的 Na+含量分别由下而上逐渐减小 ,相同节位的茎、叶柄中的 Na+含量大于叶片 ,枝棉 3号更显著。1 0 0 mmol/L和 1 50 mmol/L Na Cl胁迫下 ,枝棉 3号和中棉所 1 9K+/Na+显著高于泗棉 2号和苏棉 1 2号。Na+在茎和叶柄中滞留和积累 ,根中的 K+向地上部选择性运输 ,以维持叶片中较高的 K+/Na+,是棉花耐盐性的一个重要特点     

外源一氧化氮对铅胁迫下高羊茅生长和无机离子含量的影响

研究了外源一氧化氮对Pb2+1000mg/L胁迫下高羊茅生长及无机离子含量变化的影响。结果表明,与对照相比,单用Pb2+胁迫使高羊茅鲜重、干重、含水量、根系活力和无机离子如NO-3、K+、Na+、Ca2+、Mg2+和Mn2+含量均下降,而其根的丙二醛含量和质膜透性、Pb2+含量均上升;与单用Pb2+胁迫相比,用SNP(Sodium Nitroprusside,NO供体)0.01～1mmol/L处理Pb2+胁迫下高羊茅,其鲜重、干重、含水量、根系活力、无机离子如NO3-、K+、Na+、Ca2+、Mg2+和Mn2+含量呈先上升后下降的变化趋势,而根的丙二醛含量和质膜透性、Pb2+含量呈相反的变化趋势。综合结果表明,外源NO对Pb2+胁迫下高羊茅生长影响具有剂量效应,适宜浓度能缓解铅毒害,提高耐铅性。