羊草叶绿体非编码区多态性标记筛选及群体遗传多样性

为筛选多态性丰富的羊草叶绿体非编码区片段,本研究以9个不同地理位置的羊草居群为材料,通过对12个叶绿体非编码区DNA片段测序及其序列间变异分析试图从中找出有遗传差异的叶绿体DNA(cpDNA)片段,并利用有多态性的cpDNA片段进行遗传多样性分析。结果表明,序列ndhF-rpl32、trnL-trnF、trnC-ycf6、aptI-aptH具有比较丰富的变异,可作为下一步研究野生羊草群体遗传学和谱系地理学较为理想的分子标记。在37个羊草个体4条非编码区片段的合并序列中,共检测到15种单倍型,单倍型多态性(Hd)为0.928,核苷酸多态性(Pi)为0.00101;遗传分化指数(Fst)为0.58884,基因流(Nm)为0.17,基因流较小;中性检验Tajima’s D(-1.08542)和Fu’s Fs(-5.301)均为负值,且差异不显著(P>0.10),推测羊草遵循中性进化理论,可能经历过种群扩张;AMOVA结果显示,65%的分子变异出现在居群间,35%出现在居群内;Mantel检验得到,遗传距离与地理距离具有显著相关性(r=0.449,P<0.05);居群分化值Nst 0.386(0.1865)大于Gst 0.234(0.1506),差异显著(P<0.05),表明羊草居群存在分子谱系地理结构。通过系统发育树分析得到,羊草15个单倍型分为两大分支,H2和H10聚为一支,它们与别的居群个体亲缘关系较远,其余单倍型聚为另一支;单倍型网络图显示,H2和H12、H10和H12亲缘关系较远,与系统发育树分析结果基本一致。本研究为羊草的种质资源保护、谱系地理学研究等工作奠定了基础。     

Diversity in the carotenoid profiles and the expression of genes related to carotenoid accumulation among citrus genotypes

Carotenoids are not only important to the plants themselves but also are beneficial to human health. Since citrus fruit is a good source of carotenoids for the human diet, it is important to study carotenoid profiles and the accumulation mechanism in citrus fruit. Thus, in the present paper, we describe the diversity in the carotenoid profiles of fruit among citrus genotypes. In regard to carotenoids, such as β-cryptoxanthin, violaxanthin, lycopene, and β-citraurin, the relationship between the carotenoid profile and the expression of carotenoid-biosynthetic genes is discussed. Finally, recent results of quantitative trait locus (QTL) analyses of carotenoid contents and expression levels of carotenoid-biosynthetic genes in citrus fruit are shown.     

Phenotypic variations of wheat cultivars from the North China Plain in response to cadmium stress and associated single nucleotide polymorphisms identified by a genome-wide association study

Understanding the genetic mechanisms for cadmium(Cd) uptake and translocation in common wheat(Triticum aestivum) is of significance in food Cd contamination control. In this study, a diverse panel of 132 wheat cultivars was collected from the North China Plain. The cultivars were evaluated in terms of their phenotypic variations in response to Cd stress and subjected to a genome-wide association study(GWAS) to identify single nucleotide polymorphisms(SNPs) associated with the phenotypic variatio...     

木薯AGPase酶活性及其同工酶位点检测

本文以3个亲缘关系较远的高产木薯品种（SC124,SC8和Arg7）为材料,对块根发育过程中的AGPase活性和淀粉含量进行了测定,并利用AGPase同工酶电泳技术（非变性聚丙烯酰胺凝胶电泳）对AGPase酶活性较高时期同工酶位点进行检测,旨在分析木薯块根AGPase同工酶位点与AGPase酶活性和淀粉积累的关系。结果表明：木薯块根发育过程中AGPase酶活性和淀粉含量呈极显著正相关（R=0．80212）,Arg7的AGPase酶活性和淀粉含量在块根发育都显著高于SC124和SC8。同工酶分析表明,木薯至少有6个同工酶位点（AGPa,AGPb,AGPc,AGPd,AGPe和AGPf）,且品种间具有多态性。其中,3个品种共有的4个同工酶位点分别为AGPa、AGPc、AGPd和AGPf,AGPe位点只在Arg7中出现,初步判断同工酶位点AGPe可能与其较高的酶活性和淀粉含量有关。本研究为系统研究木薯品种间AGPase酶活性与淀粉积累的关系提供了参考。     

基于SNP标记的玉米株高及穗位高QTL定位

为进一步弄清玉米株高和穗位高的遗传机理,为育种生产提供服务,本研究以K22×CI7、K22×Dan3402个F₂群体为作图群体,利用覆盖玉米10条染色体的SNP标记构建了2个连锁图谱。并将这2个F₂群体衍生的分别含237和218个家系的F_2:3群体用于田间性状的鉴定。用复合区间作图模型对2个群体的株高、穗位高表型进行QTL定位分析,结果显示,在武汉和南宁两种环境条件下共定位到21个株高QTL和27个穗位高QTL;单个QTL表型变异贡献率的变幅为4.9%~17.9%;株高和穗位高QTL的作用方式以加性和部分显性为主;第7染色体上可能存在控制株高和穗位高的主效QTL。     

利用籼粳交探讨水稻株高和抽穗期的遗传基础

广亲和基因的发现,克服了籼粳交杂种不育的矛盾,但杂种后代株高过高、抽穗期延迟等问题仍然限制着籼粳亚种间杂种优势的利用。本试验利用一个籼粳交(珍汕97/武育粳2号)双单倍体群体(doublehaploidpopulation,DH系)及其分别与两亲本回交构建的两个回交群体,考查了株高和抽穗期的遗传,将三个群体的表型值和两个回交群体的中亲优势值进行了数量性状位点(quantitativetraitlocus,QTL)检测及效应分析,并对结果进行了比较。2个性状在3个相关群体中一共检测到了21个主效QTL和10个上位性QTL,主效QTL的数目和贡献率都比上位性QTL大,而且,在10个上位性QTL中,发生在2个主效QTL间的互作有3个,主效QTL与背景位点间的互作有6个,2个互补位点间的互作仅有1个,进一步说明了主效QTL在株高和抽穗期遗传中的重要作用。比较加性和非加性QTL的作用,发现加性效应、显性效应和上位性效应是籼粳亚种间杂种株高和生育期变化的共同遗传基础。     

白菜S位点糖蛋白基因的克隆与表达分析

 以白菜自交不亲和系为材料,采用RT-PCR技术,用特异引物对SLG基因进行克隆,获得SLG基因cDNA序列长度为1 324 bp,命名为BcSLG。序列分析表明：所获得的白菜BcSLG基因cDNA序列包含一完整的编码框,编码432个氨基酸,含有12个保守的半胱氨酸残基和7个N-糖基化位点。序列比对和系统进化分析表明：BcSLG与其它植物的SLG基因氨基酸序列具有较高的同源性,与大白菜和甘蓝亲缘关系最近。荧光定量PCR分析表明：BcSLG基因在自交不亲和系的柱头中表达量最高,其次是花蕾,叶片中表达最低, 在自交亲和系的柱头、花蕾和叶片中相对表达较低。     

Quantitative trait loci responsible for the difference in γ-oryzanol content in brown rice between japonica-type and indica-type rice cultivars

γ-Oryzanol is a main oleophilic component in rice bran oil and has been well recognized as a good dietary supplement for human health, as well as having uses in industrial materials. japonica-type rice cultivars generally showed significantly higher contents of total γ-oryzanol in brown rice compared with indica-type cultivars, although within-group variation was significant. The objective of this study was to explore quantitative trait loci (QTLs) responsible for the difference in the γ-oryzanol content between japonica-type and indica-type rice cultivars, using recombinant inbred lines (RILs), backcross inbred lines (BILs), and corresponding chromosome segment substitution lines (CSSLs) derived from crosses between japonica-type and indica-type. Results from RILs and BILs showed that eight QTLs were detected with R² from .09 to .16. Nine candidate regions for QTL were also suggested from corresponding CSSLs. These QTLs from RILs and BILs and the candidate regions from CSSLs were not overlapped, although one QTLs was mapped near the boundaries of the respective candidate region. At four QTLs and three candidate regions, alleles or segments from japonica-type caused higher contents than those from indica-type. On the other hand, at the other four QTLs and six candidate regions, alleles or segments from indica-type caused higher contents than those from japonica-type, which is a reverse result to the parental differences. This result strongly suggested that alleles with increasing effects on γ-oryzanol content could be accumulated not only from japonica-type but also from indica-type, leading to a potential for increase in γ-oryzanol content in future breeding programs.     

普通菜豆籽粒大小与形状的QTL定位

普通菜豆是世界上最重要的食用豆类作物之一,其籽粒大小和形状与产量及外观品质密切相关。本研究以来自安第斯基因库的大粒品种龙270709和来自中美基因库的小粒品种F5910配置杂交组合,获得的F2分离群体分别在哈尔滨大田与北京昌平温室种植,对百粒重、粒长、粒宽、粒厚、长宽比和长厚比6个籽粒性状进行了相关性分析和QTL定位。相关性分析表明,百粒重与粒长、粒宽、粒厚、长宽比、长厚比5个衡量籽粒大小和形状的性状均显著正相关。利用基于完备区间作图方法的Ici Mapping 4.1进行QTL定位,哈尔滨环境下定位到38个与百粒重、粒长、粒宽、粒厚、长宽比、长厚比相关的QTL,表型贡献率介于2.39%~17.37%之间,分布在除第1染色体外的其余10条染色体上;北京昌平环境下定位到21个上述性状的QTL,表型贡献率介于5.92%~22.53%之间,分布在第1、第3、第6、第7、第8、第9和第11染色体上。其中,百粒重QTLSW7与SW7’,SW6.1与SW6’,粒长QTLSL6.1与SL6.1’,粒厚QTLSH11与SH11’在2个环境下的标记区间重叠或者重合,SW7、SW6.1、SL6.1、SW6’和SL6.1’的表型贡献率在10%以上。