水稻叶片内卷突变体rl(t)的鉴定与基因定位

【目的】叶片是水稻理想株型的重要内容,叶片适度卷曲可以提高光合效率。对卷叶相关基因进行遗传分析和初步定位,为下一步的基因克隆与功能分析提供研究基础。【方法】利用EMS诱变雄性不育保持系宜香1B获得一份稳定遗传的叶片向内卷曲突变体,暂命名为rl(t)。在成熟期,测定野生型和rl(t)的主要农艺性状;在分蘖期,取野生型和rl(t)叶片用FAA固定液固定进行石蜡切片,同时,用野生型和rl(t)剑叶测定叶绿素含量;在抽穗期,利用Li-6400便携式光合仪测定10株抽穗期的野生型和rl(t)的光合参数;将rl(t)与野生型及日本晴杂交,观察F_1植株表型,对F_2表型分离进行χ~2测验,对突变体进行遗传分析。以rl(t)/日本晴的F_2群体为材料,利用BSA法进行定位。【结果】与野生型相比,突变体叶片向内卷曲明显,叶片更加直立,叶色变深,其他主要农艺性状均有不同程度降低。光合特性分析表明,突变体比野生型具有更高的光合色素含量,但光合效率没有明显差异。叶片组织切片观察表明,突变体中泡状细胞变小可能是导致叶片卷曲的主要原因。遗传分析表明,该突变体受一对隐性核基因控制,利用突变体与日本晴的F_2群体进行基因定位,最终将该基因定位在第7染色体长臂InDel标记Ind3和Ind4间610 kb的物理区间。【结论】rl(t)叶片内卷是由于近轴面泡状细胞面积减小。RL(t)定位区间内未见卷叶相关基因报道,推测RL(t)可能是一对新基因。     

利用90K基因芯片进行小麦株高QTL分析

为给小麦株高标记辅助选择提供可供选择的分子标记,并进一步对株高QTL进行精细定位及相关基因克隆,以小麦骨干亲本周8425B和小偃81衍生的包含102个家系的RIL群体(F_8)为材料,利用90K芯片标记构建高密度遗传图谱,在3个环境下对株高进行QTL检测。结果表明,所构建的图谱含有9 290个SNP标记,覆盖了小麦21条染色体的63个连锁群,图谱总长3 894.64cM,平均标记密度为0.42cM。共检测到9个控制株高的QTL,分布于1B、4A、4D、6B、7A、7B和7D染色体上,变异解释率为2.23%~16.25%。QPh.nafu.4D、QPh.nafu.4A、QPh.nafu.1B-2与前人定位到的位置相同或相近。QPh.nafu.7A具有较大的LOD值(8.17)和变异解释率(14.69%),为主效QTL。QPh.nafu.6B、QPh.nafu.7B-1、QPh.nafu.7B-2均能在多个环境下使用多种QTL检测方法定位到,可能为新的较稳定的控制株高的QTL。     

小麦白斑突变体I30的特征特性及遗传分析

类病斑突变体是研究植物程序性死亡和抗病性的理想材料。为了丰富小麦斑点突变体的研究,对叠氮化钠诱变小麦品种陕农33产生的稳定遗传的白斑突变体I30进行了特征特性研究和遗传分析。结果表明,突变体I30从三叶期开始表现白色块斑和长条纹。锥虫蓝染色和DAB染色显示,I30斑点处出现细胞死亡和H_2O_2积累现象。透射电子显微镜观察表明,I30的叶绿体形状发生改变,数目减少,基粒垛叠高度无序,部分甚至降解。农艺性状调查结果表明,I30的株高、单株有效穗数、穗粒数、穗长和结实率与野生型间无显著差异,但千粒重、穗粒重、单株产量、旗叶长度和宽度显著低于野生型。遗传分析表明,I30由1对隐性核基因控制。利用BSA+660K基因芯片技术,将该基因定位于小麦6D染色体上,位于SSR分子标记Xcfd190和6DS-5之间,遗传距离分别为6.4cM和9.1cM。     

小麦雄性不育系AL18A育性恢复基因的QTL定位

为加快AL型杂交小麦的发展,以不育系AL18A、恢复系99AR144-1及二者杂交F2代群体为材料,选用SSR标记和分离群体分组分析法进行育性恢复基因的QTL定位。结果表明,育性恢复由主效和微效基因共同控制,采用复合区间作图法分析,在1B染色体上检测到了1个主效恢复基因QTLqRf-1B-1,在5AL染色体上检测到了1个微效QTLqRf-5A-1。qRf-1B-1位于SSR标记Xbarc8与Xgwm413之间,与两标记的遗传距离分别为0.85cM和2.00cM,LOD值为14.06,加性效应为18.87,可解释22.43%的表型变异;qRf-5A-1位于SSR标记Xgwm595与Xgwm410之间,与两标记的遗传距离分别为10.00cM和0.10cM,LOD值为3.18,加性效应为12.32,可解释5.44%的表型变异。     

Investigation and genetic mapping of a Glomerella leaf spot resistance locus in apple

Apple Glomerella leaf spot (GLS) is a severe fungal disease that damages apple leaves during the summer in China. Breeding new apple varieties that are resistant to the disease is considered the best way of controlling GLS. Fine mapping and tightly linked marker are critically essential for the preselection of resistant seedlings. In this study, a population of 207 F₁ individuals derived from a cross between ‘Golden Delicious’ and ‘Fuji’ was used to construct a fine simple sequence repeat (SSR)‐based genetic linkage map. The position of R_gls, a locus responsible for resistance to GLS, was identified on apple linkage group (LG) 15 using SSR markers CH05g05 and CH01d08, which was adapted from a published set of 300 SSR markers that were developed using the bulked segregant analysis (BSA) method. These two SSR markers flanked the gene, and its recombination rate was 8.7% and 23.2%, respectively. A total of 276 newly developed SSR markers around the target region and designed from the genome apple assembly contig of LG15 were screened. Only nine of these were determined to be linked to the R_gls locus. Thus, a total of 11 SSR markers were in linkage with R_gls, and mapped at distances ranging from 0.5 to 33.8 cM. The closest marker to the R_gls locus was S0405127, which showed a genetic distance of approximately 0.5 cM. The first mapping of the gene R_gls was constructed, and the locations of the 11 effective primers in the ‘Golden Delicious’ apple genome sequence were anchored. This result facilitates better understanding of the molecular mechanisms underlying the trait of resistance to GLS and could be used in improving the breeding efficiency of GLS‐resistant apple varieties.     

Mapping and validation of the quantitative trait loci for leaf stay‐green‐associated parameters in maize

Functional stay‐green is generally regarded as a desirable trait of varieties in major crops including maize. In this study, we used an F_3:4 recombinant inbred line population with 165 lines from a cross between a stay‐green inbred line (Zheng58) and a model inbred line (B73) using 211 polymorphic simple sequence repeat markers to map quantitative trait loci for three stay‐green‐associated parameters, chlorophyll content, photosystem II photochemical efficiency and stay‐green area, at maturity stage, detected a total of 23 quantitative trait loci (QTL) on nine chromosomes. Single QTL explained 3.7–13.5% of the phenotypic variance. Additionally, we validated some important stay‐green QTL using a heterogeneous inbred family approach and found that the stay‐green‐associated parameters were significantly correlated with the plant yield. This study may contribute to a better insight into the regulatory mechanism behind leaf stay‐green in maize and a novel development of elite maize varieties with delayed leaf senescence through molecular marker‐assisted selection.     

Soybean plant height QTL mapping and meta‐analysis for mining candidate genes

Plant height is closely related to seed yield of soybean. The goal of this study was to identify important loci affecting soybean plant height using meta‐analysis based on a reference physical map. Plant height related to QTLs was mapped across eight years with a RIL population by WinQTLCart v2.5. 182 QTLs related to plant height of soybean from database and our research were collected, and each QTL was projected onto the soybean physical map by software BioMercator v2.1. The confidence interval of meta‐QTL ranged from 0.09 to 5.07 Mb, and the mean phenotypic variance ranged from 4.9% to 73.0%. Furthermore, 4,259 candidate genes were located in these consensus QTLs, and 40 of them were involved in the plant growth and stem elongation and annotated as plant hormone signal transduction (pathway ID ko04075) in KEGG pathway. These results would lay a foundation for fine mapping of QTLs/genes related to plant height and marker‐assisted selection for breeding in soybean.     

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。     

水稻紫鞘染色体片段代换系Z519的鉴定及PSH1候选基因分析

花青素是广受人们喜爱的植物色素,在食品加工、杂种纯度鉴定中具有重要的作用。本研究鉴定了一个以日本晴为受体、优良紫鞘恢复系R225为供体亲本的紫鞘水稻染色体片段代换系Z519。Z519共含有16个代换片段,分布于除第10染色体外的其他11条染色体,平均长度为6.85 Mb。Z519在芽鞘3 mm时鞘尖呈现紫色,其后在叶鞘、叶缘、茎维管束和柱头等部位出现紫色线条,而日本晴各部位均为绿色。Z519叶鞘中花青素含量极显著高于日本晴,剑叶中没有显著差异。与受体日本晴相比,Z519的株高显著降低,千粒重、主穗总粒数和实粒数显著增加,有效穗数、主穗长和结实率无显著差异。进一步以日本晴与Z519杂交产生的F1和F2群体对紫鞘基因进行了遗传分析和分子定位。该紫鞘表型受显性单基因控制,位于第1染色体In Del标记L03和SSR标记L01之间37.8 kb的区域,被命名为PSH1。对该区间进行候选基因预测和测序,Z519在一个编码质体ATP/ADP转运蛋白的LOC_Os01g45910基因第一外显子的第238~252碱基的GTG重复区又多插入了GTG 3个碱基,导致增加了一个甘氨酸。q RT-PCR结果进一步表明其表达量在Z519中明显降低,初步确定LOC_Os01g45910是PSH1的候选基因。该研究为PSH1调控花青素的分子机制奠定了良好基础。     

基于时间序列MODIS的农作物类型空间制图方法

为快速获取大范围种植结构复杂区域的作物种植面积,以MODIS数据为数据源,选择归一化植被指数(Normalized difference vegetation index,NDVI)、增强植被指数(Enhanced vegetation index,EVI)、宽动态植被指数(Wide dynamic range vegetation index,WDRVI)、地表水分指数(Land surface water index,LSWI)、归一化雪被指数(Normalized difference snow index,NDSI)5种特征,结合同步的实地调查样本点,采用支持向量机算法(Support vector machines,SVM)提取黑龙江省主要农作物的种植面积。研究表明,在待选特征中NDVI、EVI与LSWI指数组合取得了最高的分类精度,总体分类精度为74.18%,Kappa系数为0.60;支持向量机算法与最大似然算法、随机森林算法相比,分类精度更优。该方法为在大区域中提取农作物种植面积提供了参考价值。