Genetic Analysis and Preliminary Mapping of a Highly Male-Sterile Gene in Foxtail Millet（Setaria italica L.Beauv.） Using SSR Markers

Breeding of male-sterile lines has become the mainstream for the heterosis utilization in foxtail millet,but the genetic basis of most male-sterile lines used for the hybrid is still an area to be elucidated.In this study,a highly male-sterile line Gao146A was investigated.Genetic analysis indicated that the highly male-sterile phenotype was controlled by a single recessive gene a single recessive gene.Using F 2 population derived from cross Gao146A/K103,one gene controlling the highly male- sterility,tentatively named as ms1,which linked to SSR marker b234 with genetic distance of 16.7 cM,was mapped on the chromosome VI.These results not only laid the foundation for fine mapping of this highly male-sterile gene,but also helped to accelerate the improvement of highly male-sterile lines by using molecular marker assisted breeding method.     

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。     

人工合成小麦紫色胚芽鞘的遗传定位分析

为探明小麦花青素色素沉积的关键位点,以167份重组自交系群体为材料,利用已构建的高密度遗传图谱对来源于硬粒小麦(AABB)和节节麦亚种tauschii(DD)杂交后所得的人工合成小麦SHW-L1中控制紫色胚芽鞘的基因进行遗传定位。同时利用目标性状关联遗传区段对SHW-L1及其亲本进行基因型鉴定。结果表明:目标性状在重组自交系群体中表现为单基因遗传,且被定位于7D染色体,其关联遗传区段在异源六倍化过程中有遗传位点缺失。     

结球甘蓝抽薹性遗传规律和QTL定位分析

以早抽薹‘S-1’与晚抽薹‘G-1’为亲本,构建F1、BC1、BC2和F2群体,采用植物数量性状主基因 + 多基因混合遗传模型分析法对结球甘蓝抽薹性状进行遗传分析,并采用SLAF-BSA方法对抽薹时间进行QTL定位分析。结果显示,结球甘蓝抽薹性状是由2对加性—显性—上位性主基因 + 加性—显性多基因遗传控制;主基因 + 多基因平均遗传率是93.41%。共检测到2个QTL,分别为2号染色体上的2.31 ~ 3.09 Mb和33.57 ~ 34.40 Mb,总长度为1.61 Mb。     

Soil risk maps – Interpreting soils data for policy makers,agencies and industry

Surface runoff, erosion, compaction and the leaching of potential pollutants from land can degrade the soil resource and damage the water environment, reducing crop yields, causing loss of valuable nutrients and organic matter, together with increasing flood risk. Increasingly, it is recognized that scientific information must be translated into practical tools to change practices and protect the soil and water resource. Working alongside agencies in Scotland, we applied a suite of simple, transparent, rule-based models to identify areas most at risk of exporting sediment and pollutants that may degrade water quality based on field-scale (1:25,000) soil maps. The maps have been used by Scottish Environment Protection Agency, Scottish Water and Scottish Government to assess soil risks to waters from field to regional scale. The work brought scientists together with policy makers, agencies and the water industry to pool their knowledge to apply these practical tools for decision-making. It highlights the need to apply existing knowledge to answer salient questions. All three examples described show that providing the right type of information, which is based on fundamental soils data, can directly influence the implementation of policies, investment and monitoring decisions and provide evidence in support of government. However, this requires both researchers and agency scientists to develop skills as knowledge brokers and to normalize the use of soil data in everyday agency settings.     

QTL Mapping of Chlorophyll Content in Gossypium hirsutum and Gossypium barbadense Backcross Inbred Lines

[Objective] The purpose of this study was to map quantitative trait loci (QTL) related to chlorophyll content based on Soil and Plant Analyzer Development (SPAD) readings in cotton. [Method] The 195 BILs (Backcross Inbred Lines) were produced by a cross between Gossypium barbadense Hai 7124 and G. hirsutum CRI 36, using CRI 36 as the recurrent parent for backcrossing with F1 to produce BC1F1, followed by seven generations of selfing. The genetic linkage map was constructed in a previous study. QTLs of chlorophyll SPAD value in the first flowering and boll development stages were identified with inclusive composite interval mapping (ICIM) method of the BIP and MET models in IciMapping 4.1 software, respectively. [Result] In total, nine chlorophyll SPAD reading QTLs were identified on 6 chromosomes. The q-SPAD-A11-1 detected at the first flowering stage overlapped with q-SPAD-A11-2 detected at the boll development stage, contributing 5.08% and 5.75% of the phenotypic variation, respectively. The q-SPAD-D08-2 physical position ranged from 48.71 to 53.65 Mb on chromosome D08, which overlapped with a chlorophyll content QTL detected in a previous study. [Conclusion] The novel stable QTLs, q-SPAD-A11-1 and q-SPAD-A11-2 detected in this study provide an important piece of information for fine mapping chlorophyll content in cotton.     

水稻花器官数目突变体mf2的鉴定和基因定位

水稻的花器官发育影响着水稻的产量与品质。本研究通过¹²C重离子诱变航恢7号获得一个水稻花器官突变体multi-floret 2 (mf2), 其稃片、浆片、雄蕊、雌蕊增多, 多数小穗内具2~3朵类似小花。mf2内外稃不能很好勾合, 而且形状和维管束的数目都产生了一定程度的变化。电镜扫描幼穗发现花器官的变异在幼穗分化期的各花器官原基分化时就已形成。另外, 该突变体的抽穗期推迟, 株高降低, 穗数增多, 表明其营养生长也受到一定的影响。遗传分析表明mf2突变体表型受单隐性核基因控制。利用SSR、InDel分子标记将MF2定位于第1染色体的标记SSR39108和InD39210之间, 区间大小约为102 kb。     

首批海岛棉基因组来源的微卫星标记的分离、评价和定位

海岛棉(Gossypium barbadense)是世界上最重要的栽培棉种之一。海岛棉纤维品质优良,是优质棉的重要产源。为了研究海岛棉的遗传多样性,为海岛棉育种提供参考依据,从海岛棉遗传标准系中分离基因组来源的微卫星标记用于海岛棉遗传评价。采用两种方法分离微卫星标记,一是用ISSR (inter simple sequence repeat) 引物扩增Pima3-79,克隆测序后从中开发微卫星标记;二是利用简并引物扩增Pima3-79,克隆测序后从中开发微卫星标记。共挑选1 447个克隆,筛选出239个独立克隆。测序后得到214个单一序列,其中包含微卫星并可用于引物设计的序列70个,获得86对引物。86对引物用于扩增56个海岛棉材料和4个陆地棉材料,16对引物没有扩增,43对引物在所有材料中没有多态性;27对引物在海岛棉和陆地棉之间有多态性,19对引物在海岛棉中表现多态性。利用Jaccard相似系数和UPGMA方法进行聚类分析可以明显区分陆地棉和海岛棉,并且将海岛棉分为4类。14对引物在BC₁群体中表现多态性,产生14个位点。9个位点整合到BC₁连锁图的7个染色体上,4个位于A亚基因组,5个位于D亚基因组。海岛棉微卫星标记扩展了棉花微卫星标记,有助于海岛棉遗传多样性的研究,有利于棉花遗传图谱的进一步丰富。