苗期水稻根部性状的QTL定位

耐旱是水稻抗逆研究中最重要的性状之一。利用水稻籼粳品种窄叶青8号（ZYQ8）和京系17（JX17）及其通过杂交F1代花药培养获得的127个单株组成的双单倍体分离群体（double haploid,DH)为材料,在营养液中培养10天后,对影响抗旱能力的根部几个主要性状进行了分析,发现最大根长（Maximum root Length,MRL)、根干重（Dry Root Weight,DRW)和根茎干重比（Root/Shoot Ratio of Dry Weight,RSR)3个性状在群体中变异较大,利用该群体建立的水稻分子遗传图谱,对上述3个水稻性状进行数量性状座位（Quantitative Trait Locus,QTL)的分析定位,结果表明,2／1／2个QTLs的亲本JX17等位基因分别控制着最大根长、根干重和茎士重比的表达,对表型变异的解释率分别为16．4％、17．0％、16．4％、10．4％和19．9％;2／1个QTLs的亲本ZYQ8等位基因分别控制着最大根长和根茎干重比的增加,表表型变异的解释率分别为19．6％、13．0％和13．2％。检测到的8个QTLs分别位地水稻的染色体2、3、4、5、6、9和10上。与其他已发表的定位结果比较表现,在3个性状的总共8个QTLs中,各有1个性状的1个QTL（控制最大根长的L169－CT106A,控制根干重的G45－G1314A和控制根茎干重比的G62－G144）与早先报道的结果相吻合。     

花生种质资源的根系性状研究及AFLP分析

对22份花生种质资源进行根系性状和AFLP分析研究.结果表明,珍珠豆型花生种质资源具有根干重小、根基粗小和主侧根干重比小等特点;龙生型花生种质资源具有根干重大、根基粗大和主侧根干重比大等特点.用根系性状和AFLP标记都能将22份花生品种分为两大组,但是AFLP标记聚类结果比根系性状的聚类结果更能反映花生品种亲源关系和地域生态上的差异.     

河北省大豆推广品种遗传多样性分析

利用主要农艺性状以及SSR和AFLP2种分子标记,对河北省41个大豆推广品种进行遗传多样性分析,以便为种质资源利用和创新提供依据。农艺性状聚类结果将41个材料划分为3个类群和2个特殊品种,聚类结果与材料系谱来源相差悬殊,不能反映材料间亲缘关系。SSR和AFLP数据聚类结果将41个材料划分为4个SAG（SSR and AFLP—basedgroups）分子类群。30对SSR引物共检测出135个等位变异,平均每个位点上有4．47个等位变异,SSR的遗传多样性指数（Simpson）分布范围为0．0928～0．7800,平均值为0、6442。10对AFLP引物共扩增出93个多态性标记,平均每对引物9．3个多态性标记。品种间的遗传相似系数（GS）变化范围为0．5877～0．9868,平均值变化范围为0．6732～0．7653,总体平均值为0.7237,遗传相似系数较高,说明材料间遗传变异较小。     

甘蓝型油菜花瓣缺失基因的图谱定位

在无花瓣品系APT02和正常有花瓣品种中双4号构建的的F2分离群体中,运用AFLP和SRAP两种标记技术对甘蓝型油菜花瓣缺失基因进行分子标记和图谱定位。在两亲本间筛选20对AFLP引物和170对SRAP 引物,进一步通过BSA法筛选,获得了与甘蓝型油菜花瓣缺失基因WHB连锁的1个SRAP标记e8m3_4（600bp）和1个AFLP标记E3247_15（150bp）,标记与基因WHB之间的遗传距离分别为5 cM和13.5cM;构建了一个甘蓝型油菜(Brassica napus.L )的分子标记遗传连锁图谱,该图谱共包含213个AFLP标记、56个SRAP标记和1个形态标记,分布于17个主要连锁群、两个三联体和4个连锁对中,遗传图距总长2487.1cM,标记间平均距离为10.09 cM。通过图谱定位,控制花瓣缺失性状的基因WHB被定位到第4连锁群(LG4)上。     

淹水和干旱条件下水稻根系形成的QTLs及候选基因分析

为了研究不同水分条件下组成型根系性状和适应性根系性状的遗传机制,利用由IR64／Azucena发展的双单倍体（DH）群体分析了淹水和干旱条件下水稻幼苗种子根长（SRL）、不定根数（ARN）、总根干重（RW）及其对应的相对参数（干旱和淹水条件下根系性状的比值）的QTLs。淹水与干旱条件下检测到一个共同的种子根长QTL和一个共同的总根干重QTL。同时对前人发表的遗传群体定位的根系性状QTLs进行比较分析,检测到几个共同的根系性状QTLs。对与细胞伸长、分裂相关的候选基因进行了定位,其中4个细胞壁相关的ESTs（OsEXP2,OsEXP4,EXT和Xet）被定位在与不同水分条件下检测出的根系性状QTLs的相同区间。     

基于SSR标记和生物学性状进行桃遗传多样性的比较分析

利用生物学性状和SSR分子标记对50个桃品种进行遗传多样性研究,并将两种标记所得结果进行比较.14个生物学性状揭示出品种间的遗传相似系数范围为0～0.9,均值为0.4;而13对SSR引物揭示出遗传相似系数范围为0.52～0.97,均值为0.75.对两种标记进行共表型相关系数检测,结果显示两种结果无明显差异.经Mental检测,两种标记之间相关性较差,这可能与形成机理差异大有关.进行聚类和主成分分析,生物学性状方面品种主要分为3个组且与果肉性状相关,而分子方面品种主要分为2组,与地域相关.     

不同混交比例对杉木和大叶榉幼苗功能性状的影响

了解林木功能性状在不同培育模式下的变异和关联,对揭示林木生态适应性及其生态功能具有重要意义。选取了亚热带地区两种常见人工林树种杉木、大叶榉幼苗为研究对象,设置4种不同栽培模式的盆栽试验：单一杉木（4C）,单一大叶榉（4Z）和杉木、大榉树3种混栽模式（1C3Z、2C2Z、3C1Z）,研究不同混交比例对其叶、茎、根功能性状的影响。结果表明：（1）杉木总叶面积、叶干物质含量、净光合速率、蒸腾速率和气孔导度在混栽模式下显著减小,而比叶面积显著增大;根长和比根长在不同处理间无显著差异;叶、茎、根生物量和单株总生物量在混栽模式下显著低于4C处理,不同混栽模式之间差异不显著。（2）大叶榉单叶面积在3C1Z处理下最高,总叶面积随大叶榉在树种组成中所占比例的降低而逐渐增大,比叶面积在不同处理间无显著差异,叶干物质含量、净光合速率、蒸腾速率和气孔导度均在2C2Z处理下最大,而瞬时水分利用效率在2C2Z处理下最小;根长在3C1Z处理下显著增大,比根长在不同处理间无显著差异;叶、茎、根生物量和单株总生物量随大叶榉在树种组成中所占比例的降低而逐渐增大。综合来看,杉木和大叶榉混合处理中杉木种间竞争大于种内竞争,而大叶榉相反;随杉木在混栽处理中比例减少,其主要通过增加比叶面积,提高净光合速率,减少茎生物量积累来适应种间竞争关系;而大叶榉随其在混栽处理中比例的减少,显著增加叶面积和根长来提高资源利用率,减少地下资源分配,提高地上茎生物量积累。因此,树种混交比例将显著影响林木功能性状及其生物量积累,选择适宜混交比例对混交林可持续经营具有重要意义。     

利用粳稻染色体片段置换系群体检测水稻抗亚铁毒胁迫有关性状QTL

潜育性水稻田广泛分布于中国、斯里兰卡、印度、印度尼西亚、塞拉里昂、利比亚、尼日利亚、哥伦比亚和菲律宾等国,其中我国南方稻区就有近700万公顷低产潜育性水稻田。该类水稻田还原性强,矿质营养失调,尤以Fe^2 过量积累,对水稻生长发育产生不良的逆境胁迫作用。培育抗亚铁毒的水稻品种是简便、经济有效地提高稻谷产量的重要途径之一。该文利用由粳稻品种Asominori与籼稻品种IR24杂交衍生的Asominori染色体片段置换系(Chromosome Segment Substitution Lines,CSSLs)群体为材料,检测与抗亚铁毒胁迫有关性状QTL。共检测到与抗亚铁毒胁迫有关性状QTL14个,各QTL的LOD值为2．72～6．63。其中检测到与抗亚铁毒胁迫直接有关的性状叶片棕色斑点指数QTL3个,分别位于第3、9、11染色体C515～XNpb279、R2638～C1263和G1465～C950之间,对应的贡献率分别为16．45％、11．16％和28．02％;与其他已发表的定位结果比较发现,位于第三染色体C515～XNpb279间控制叶片棕色斑点指数的QTL与水稻功能图谱上控制叶绿素含量的QTL的位置一致;表明在亚铁毒胁迫条件下,水稻在其叶片表面出现棕色斑点,叶片衰老,产生一些叶绿素降解物或衍生物,以提高叶片细胞对亚铁等重金属毒害的耐受力。另外,在第11染色体G1465～C950之间检测到了控制叶片棕色斑点指数、茎干重和根干重QTL1个,为主效QTL。在第6染色体XNpb386～XNpb342之间检测到控制茎干重、株高、根长和根干重QTL1个,是否与水稻抗亚铁毒有关需要进一步研究。本研究旨在通过定位与抗亚铁毒有关的QTL,借助与之紧密连锁的分子标记有效地聚合这些QTL,培育出抗亚铁毒性强的水稻新种质材料。     

小麦根部耐盐性状全基因组关联分析

为了解小麦耐盐相关性状的遗传机理,挖掘与小麦耐盐性显著相关的SNP位点及候选基因,本研究利用浓度200 mmol/L的NaCl溶液和正常营养液对全国300份小麦品种(系)进行耐盐性试验,并利用小麦90 K芯片对分布于小麦全基因组的16650个SNP,采用Q+K关联混合模型对小麦最长根长、根干重、根鲜重、根平均直径、根尖...     

中国食用向日葵种质资源遗传变异的RAPD及AFLP分析

本研究采用RAPD和AFLP方法对23个中国不同地区的食用向日葵（Helianthus annuus L.)骨干品种进行了遗传变异分析,同时对两种标记系统进行了比较。26个RAPD引物产生了总计192条DNA条带,大小分布 于0.26kb-1.98kb之间,其中165条（86．12％）具有多态性,每条引物产生DNA条带的平均数为7．38。8对AFLP引物组合共产生了576条带,分布于100bp-500bp之间,其中的341条具有多态性,多态百分率为76．00％,每对引物组合产生DNA条带的平均数为72。RAPD方法检测的每位点有效等位基因数（1．76）大于AFLP（1．65）,AFLP标记位点的平均多态性信息量（PIC）（0．38）低于RAPD标记位点PIC（0．41）,但AFLP标记具有很高的多态性检测效率（Ai=38．52）。用RAPD标记分析23个食用向日葵材料的亲缘关系,Nei氏相似性系数分布在47．84％－82．06％,平均相似性系数为0．6495,而采用AFLP的Nei氏相似性系数分布在54．15％－83．52％,平均相似性系数为0．6884。RAPD数据的标准差为0．13,而AFLP数据的标准差为0．08。因此,采用RAPD和AFLP方法分析食用向日葵遗传变异,RAPD标记具有较低相似性系数和较高方差而AFLP则相反。源于两种不同标记的遗传相似矩阵的相关系数为0．51,说明采用RAPD和AFLP系统分析食用向日葵遗传变异得到的结果有一定的相关性,无论采用RAPD还是AFLP标记进行聚类分析,都将23个不同基因型的食用向日葵材料分成了三个类群。     

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.     

QTL mapping of root traits in a doubled haploid population from a cross between upland and lowland japonica rice in three environments

To genetically dissect drought resistance associated with japonica upland rice, we evaluated a doubled haploid (DH) population from a cross between two japonica cultivars for seven root traits under three different growing conditions (upland, lowland and upland in PVC pipe). The traits included basal root thickness (BRT), total root number (RN), maximum root length (MRL), root fresh weight (RFW), root dry weight (RDW), ratio of root fresh weight to shoot fresh weight (RFW/SFW) and ratio of root dry weight to shoot dry weight (RDW/SDW). The BRT was significantly correlated with the index of drought resistance, which was defined as the ratio of yield under the stress of the upland condition to that under the normal lowland condition. A complete genetic linkage map with 165 molecular markers covering 1,535 cM was constructed. Seven additive quantitative trait loci (QTLs) and 15 pairs of epistatic loci for BRT and RN were identified under upland and lowland conditions, and 12 additive QTLs and 17 pairs of epistatic QTLs for BRT, RN, MRL, RFW, RFW/SFW and RDW/SDW were identified under the PVC pipe condition. Four additive QTLs and one pair of epistatic QTLs controlling IDR were also found. These QTLs individually explained up to 25.6% of the phenotypic variance. QTL × environment (Q × E) interactions were detected for all root traits, and the contributions of these interactions ranged from 1.1% to 19.9%. Five co-localized QTLs controlling RFW and RDW, RFW/SFW, RDW/SDW and IDR, BRT and RN, RN, MRL and IDR were found. Four types of QTLs governing BRT and RN were classified by their detection in the upland and lowland conditions. Some common QTLs for root traits across different backgrounds were also revealed. These co-localized QTLs and common QTLs will facilitate marker-assisted selection for root traits in rice breeding programs.     

Mapping Quantitative Trait Loci Associated with Toot Traits Using Sequencing-Based Genotyping Chromosome Segment Substitution Lines Derived from 9311 and Nipponbare in Rice (Oryza sativa L.)

Identification of quantitative trait loci (QTLs) associated with rice root morphology provides useful information for avoiding drought stress and maintaining yield production under the irrigation condition. In this study, a set of chromosome segment substitution lines derived from 9311 as the recipient and Nipponbare as donor, were used to analysis root morphology. By combining the resequencing-based bin-map with a multiple linear regression analysis, QTL identification was conducted on root number (RN), total root length (TRL), root dry weight (RDW), maximum root length (MRL), root thickness (RTH), total absorption area (TAA) and root vitality (RV), using the CSSL population grown under hydroponic conditions. A total of thirty-eight QTLs were identified: six for TRL, six for RDW, eight for the MRL, four for RTH, seven for RN, two for TAA, and five for RV. Phenotypic effect variance explained by these QTLs ranged from 2.23% to 37.08%, and four single QTLs had more than 10% phenotypic explanations on three root traits. We also detected the correlations between grain yield (GY) and root traits, and found that TRL, RTH and MRL had significantly positive correlations with GY. However, TRL, RDW and MRL had significantly positive correlations with biomass yield (BY). Several QTLs identified in our population were co-localized with some loci for grain yield or biomass. This information may be immediately exploited for improving rice water and fertilizer use efficiency for molecular breeding of root system architectures.     

Comparison of quantitative trait loci controlling seedling characteristics at two seedling stages using rice recombinant inbred lines

A better understanding of the genetics of seedling characteristics in rice could be helpful in improving rice varieties. Zhenshan 97 and Minghui 63, the parents of Shanyou 63, an elite hybrid developed during the last decade in China, vary greatly with respect to their physiological and morphological traits at the seedling growth stage. In this study, we used a population of 240 recombinant inbred lines derived from a cross between Zhenshan 97 and Minghui 63 to identify quantitative trait loci (QTL) for seedling characteristics. All plant material was grown in hydroponic culture. Data for the following characters were collected at 30 days and 40 days post-sowing: plant height, shoot dry matter weight (SDW), maximum root length, root dry weight (RDW), total dry weight , and root-shoot ratio (the ratio of SDW to RDW). Analysis using composite interval mapping detected 16 QTL for the six traits in 30-day-old seedlings. Of these 16 QTL, Minghui 63 alleles increased trait values at only two of them. The QTL in the vicinity of R3166 on chromosome 5 simultaneously influenced PH, SDW, MRL, RDW, and TDW in the same direction. Twenty QTL were detected for the same traits in the 40-day-old seedlings. However, at this stage Minghui 63 alleles increased trait values at eight QTL. The QTL linked to R3166 also affected PH, SDW, MRL, RDW, and TDW. Only four QTL were common to the two stages. These results clearly indicate that different genes (QTL) control the same traits during different time intervals. Zhenshan 97 alleles had positive effects during the first 30 days of seedling growth, but thereafter the positive effects of Minghui 63 alleles on seedling growth gradually became more pronounced.     

正常与水分胁迫下水稻叶片叶绿素含量的QTL分析

随着分子标记技术的发展,利用不同的遗传群体对叶绿素的分子遗传机理进行了一些探索,定位了一些控制叶绿素含量的数量性状基因座(Quantitative trait loci, QTL)。该研究着眼于当前干旱严重影响农业生产的形势,以水稻重组自交系‘珍汕97B’בIRAT109’ F₉代群体195个株系为材料,在正常与水分胁迫环境下研究叶片叶绿素含量与光合速率的变化及相关性,定位不同水分条件下影响叶绿素含量的QTL,为阐明干旱环境下水稻叶绿素含量的分子遗传机理、分子标记辅助育种和节水抗旱稻培育提供理论基础和依据。研究表明叶绿素含量与光合速率在正常供水下呈极显著正相关(r=0.185 7^**),但在干旱下则表现无关(r=0.076 6)。QTL定位共检测到13个影响叶绿素含量的主效QTL,分别位于第1、2、3、4、5、6、10染色体:其中在干旱处理下检测到6个,其联合贡献率为47.39%;在正常供水下检测到7个,联合贡献率达56.19%。检测到显著互作效应位点16对:其中干旱处理下有4对显著互作,联合贡献率为18.57%;正常供水下有12对显著互作,联合贡献率达38.49%。     

三系杂交稻亲本随机扩增多态性DNA(RAPD)分析

选用9个随机引物对31份杂交水稻亲本材料进行了RAPD分析, 共检测到60条多态性带。聚类分析结果表明,所有供试材料可以被明确地区分。在9个随机引物中,有8个具有较高的多态性检测能力。以这8个引物为基础,选用任两个引物即可在任一对材料中检测出多态性的频率在96.13%以上,而选用任3个引物则该频率在99.21%以上。这显示了运用RAPD鉴定稻种具有简便、灵敏、高效的优点,在鉴定杂交稻种的实践中有着良好的应用前景。 Abstract:Seven rice sterile lines,12 maintainer lines and 12 restorer lines were analyzed by RAPD with 9 primers.Altogether,118 fragments were generated,of which 60 detected polymorphisms among rice marker.Eight of nine primers can detect high polymorphism.The frequencies of polymorphism in any primers were used,the frequencies would be higher than 99.21%.The eight primers were therefore recommended as candidates for the identification of hybrid rice seeds.     

Identification of AFLP fragments linked to seed coat colour in Brassica juncea and conversion to a SCAR marker for rapid selection

A Brassica juncea mapping population was generated and scored for seed coat colour. A combination of bulked segregant analysis and AFLP methodology was employed to identify markers linked to seed coat colour in B. juncea. AFLP analysis using 16 primer combinations revealed seven AFLP markers polymorphic between the parents and the bulks. Individual plants from the segregating population were analysed, and three AFLP markers were identified as being tightly linked to the seed coat colour trait and specific for brown-seeded individuals. Since AFLP markers are not adapted for large-scale application in plant breeding, our objective was to develop a fast, cheap and reliable PCR-based assay. Towards this goal, we employed PCR-walking technology to isolate sequences adjacent to the linked AFLP marker. Based on the sequence information of the cloned flanking sequence of marker AFLP8, primers were designed. Amplification using the locus-specific primers generated bands at 0.5 kb and 1.2 kb with the yellow-seeded parent and a 1.1-kb band with the brown-seeded parent. Thus, the dominant AFLP marker (AFLP8) was converted into a simple codominant SCAR (Sequence Characterized Amplified Region) marker and designated as SCM08. Scoring of this marker in a segregating population easily distinguished yellow- and brown-seeded B. juncea and also differentiated between homozygous (BB) and heterozygous (Bb) brown-seeded individuals. Thus, this marker will be useful for the development of yellow seed B. juncea cultivars and facilitate the map-based cloning of genes responsible for seed coat colour trait. Received: 2 October 1999 / Accepted: 11 November 1999     

Conversion of AFLP markers to sequence-specific markers for closely related lines in rice by use of the rice genome sequence

DNA polymorphism between two major japonica rice cultivars, Nipponbare and Koshihikari, was identified by AFLP. Eighty-four polymorphic AFLP markers were obtained by analysis with 360 combinations of primer pairs. Nucleotide sequences of 73 markers, 29 from Nipponbare and 44 from Koshihikari, were determined, and 46 AFLP markers could be assigned to rice chromosomes based on sequence homology to the rice genome sequence. Specific primers were designed for amplification of the regions covering the AFLP markers and the flanking sequences. Out of the 46 primer pairs, 44 amplified single DNA fragments, six of which showed different sizes between Nipponbare and Koshihikari, yielding codominant SCAR markers. Eight primer pairs amplified only Nipponbare sequences, providing dominant SCAR markers. DNA fragments amplified by 13 primer pairs showed polymorphism by CAPS, and polymorphism of those amplified by 13 other primer pairs were detected by PCR-RF-SSCP (PRS). Nucleotide sequences of the other four DNA fragments were determined in Koshihikari, but no difference was found between Koshihikari and Nipponbare. In total, 40 sequence-specific markers for the combination of Nipponbare and Koshihikari were produced. All the SNPs identified by AFLP were detectable by CAPS and PRS. The same method was applicable to a combination of Kokoromachi and Tohoku 168, and 23 polymorphic markers were identified using these two rice cultivars. The procedure of conversion of AFLP-markers to the sequence-specific markers used in this study enables efficient sequence-specific marker production for closely related cultivars.     

Comparative Evaluation of RAPD and AFLP Based Genetic Diversity in Brinjal (Solanum melongena)

The present investigation was carried out with an objective of evaluating genetic diversity in brinjal (Solanum melongena) using DNA markers. A total of 38 brinjal accessions including one wild-species, Solanum sisymbrifolium were characterized using random amplified polymorphic DNA (RAP D) and amplified fragment length polymorphism (AFLP) techniques. Out of 45 primers employed to generate RAPD profiles, reproducible patterns were obtained with 32 primers and 30 (93.7%) of these detected polymorphism. A total of 149 bands were obtained, out of which 108 (72.4%) were polymorphic. AFLP analysis was carried out using four primer combinations. Each of these primers was highly polymorphic. Out of 253 fragments amplified from these four primer combinations, 237 (93.6%) were polymorphic. The extent of pair-wise similarity ranged from 0.264 to 0.946 with a mean of 0.787 in RAPD, in contrast to a range of 0.103 to 0.847 with a mean of 0.434 in AFLP. The wild species clustered separately from the brinjal genotypes. In the dendrogram constructed separately using RAPD and AFLP markers, the brinjal genotypes were grouped into clusters and sub-clusters, and the varieties released by IARI remained together on both the dendrograms. All the 30 RAPD primers in combination and each of the four primer pairs in AFLP could distinguish the brinjal accessions from each other. AFLP was thus found to be more efficient than RAPD in estimation of genetic diversity and differentiation of varieties in brinjal.