家蚕第2隐性赤蚁的遗传学研究——Ⅱ.ch-2基因的连锁分析

Ch-2基因是继ch之后新发现的一种隐性赤蚁ch-2基因与pM(2)、Ze(3)、L(4)、Pe(5)、E~(EL)(6)、q(7)、st(8)、I(9)、w-2(10)、ms(12)、cf(13)、U(14)、Se(15)、cts(16)、B_m(17)、nb(19)、rb(21)、or(22)、sp(23)、Nd(25)、及Y_m等各标志基因都是独立遗传.Ch-2与mln杂交F_2代分离+ch-2+min:ch-2+min:ch-2mln:ch-2mln=523:284:231:0≈2:1:1:0;ch-2与elp杂交F_2代分离+ch-2+elf:ch-2+elp:+ch-2elp:ch-2elp=219:97:68:0≈2:1:1:0,充分说明ch-2与mln、elp是连锁遗传的,即ch-2基因位于第18连锁群.     

利用芥蓝×青花菜DH群体构建AFLP连锁图谱

 利用青花菜(Brassica oleracea var. italica) 与芥蓝(Brassica oleracea var. alboglabra) 杂交后代双单倍体(DH) 群体为材料, 通过AFLP技术构建了一个甘蓝类作物较高密度的遗传连锁图谱。该图谱包括9个主要连锁群及2个小连锁群, 总图距801.5 cM, 含337个AFLP标记, 标记间平均距离为3.6 cM,为甘蓝类作物基因定位、比较基因组学及重要经济性状QTL分析提供了一个框架图谱。     

芥蓝产量性状QTL定位

芥蓝的丰产性状是育种的重要目标性状,由于控制芥蓝的产量性状均为数量性状,常规育种进展缓慢,基因定位及分子标记辅助育种可提高选择效率。本研究利用2个产量差异大的芥蓝自交不亲和系冬强♀（产量高）与Lb07M（产量低）为亲本,构建F2分离群体,F2自交获得F2 ∶ 3家系,对产量性状进行了QTL定位分析。对F2 ∶ 3家系中单株重、单薹重、株高、薹高、叶长、叶宽、薹粗进行了调查,利用已构建首张芥蓝变种内的SSR和SRAP遗传图谱,结合田间性状调查数据,用QTLNetwork2.0软件通过混合线性复合区间作图法（MCIM）对7个产量性状进行了QTL分析。在10个连锁群中共定位了8个QTL位点,其中控制单薹重、单株重、株高、叶宽的QTL各1个,分别解释表型变异的18.4％,17.8％,19.1％,15.1％;控制主薹高和叶长的QTL各为2个,共解释表型变异的23.8％、22.1％。芥蓝产量性状的QTL定位结果可为分子标记辅助选择高产品种提供参考。     

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。     

用全基因组关联分析解析籼稻垩白的遗传基础

利用272份全球籼稻微核心种质的重测序SNP基因型,对海南三亚、广东深圳、浙江杭州和湖北荆州4个地点收集到的垩白粒率和垩白度性状采用TASSEL软件进行全基因组关联分析,解析籼稻垩白的遗传基础和挖掘影响垩白粒率和垩白度的优异等位基因。结果表明,依据SNP数据,可将籼稻微核心种质分成3个亚群。4个地点分别检测到42个和44个与垩白粒率和垩白度显著关联的位点,位于全部12条染色体上。2个性状分别有21个和19个位点在2个以上环境下同时被检测到,这些位点中有12个位点同时影响垩白粒率和垩白度,11个位点附近都有已克隆的水稻品质相关基因。其中,第5染色体3.3~5.3 Mb区间在4个地点都被检测到与垩白粒率显著关联,以杭州点对垩白粒率的贡献最大,优异等位基因载体品种为IRGC121689;第12染色体的17.5~18.0 Mb区间在三亚和杭州都被检测到与垩白度显著关联,以三亚点的垩白度贡献最大,优异等位基因载体品种为IRGC122285。这些位点和品种资源可作水稻外观品质分子改良的重要基因和品种资源。     

小麦茎秆断裂强度相关性状QTL的连锁和关联分析

小麦茎秆断裂强度与倒伏特性关系密切,并对产量有很大影响。本研究旨在解析茎秆断裂强度的遗传机制,开发与该性状紧密连锁/关联的分子标记。利用山农01-35′藁城9411重组自交系(RIL)群体(含173个F8:9株系)和由205个品种(系)构成的自然群体,借助90 k小麦SNP基因芯片、DArT芯片及传统分子标记技术,在2个环境中对两群体的茎秆断裂强度相关性状进行连锁分析和全基因组关联分析。利用已构建的高密度连锁图谱,在4B染色体的TDURUM_CONTIG63670_287–IACX557和EX_C101685–RAC875_C27536等区段上,检测到9个控制小麦茎秆断裂强度、株高、茎秆第2节间充实度、茎秆第2节壁厚相关性状的加性QTL,可解释表型变异9.40%~36.30%。同时,利用包含24 355个SNP位点的复合遗传图谱,在自然群体中检测到37个与茎秆断裂强度相关性状(P0.0001)的标记,分别位于1A、1B、2B、2D、3A、3B、4A、4B、5A、5B、5D、6B、7A、7B和7D染色体,可解释表型变异7.76%~36.36%。在4B染色体上,以连锁分析检测到控制茎秆断裂强度的RAC875_C27536与关联分析检测到的Tdurum_contig4974_355标记,在复合遗传图谱上的距离为6.7 cM,说明该区段存在控制小麦茎秆断裂强度的重要基因。     

2对连锁杂合基因在分离重组中的熵变规律

用离散线性系统建立同一连锁群2对杂合基因自交群体分离重组中的熵变模型。结果表明,各代的熵与交换率有关;单基因杂合型的比例在F1到F2有一个增长过程,以后逐代递减,最终趋于0;群体最终留下的4种纯合基因型的比例与交换率有关;自交群体的逐代熵变规律与随机交配群体的不一致,自交群体最大变异发生在F3而不是F2。     

黄瓜品系WIS2757对黄瓜枯萎病生理小种4和黑星病的抗性遗传与连锁分析

【目的】黄瓜枯萎病和黑星病是危害中国黄瓜生产的两种主要病害,明确黄瓜品系WIS2757对黄瓜枯萎病生理小种4和黑星病的抗性基因遗传与连锁关系,为黄瓜抗病育种提供重要依据。【方法】以抗枯萎病生理小种4和黑星病的黄瓜材料WIS2757和感病材料津研2号为亲本,获得98个F3代株系,分别对双亲、F1和F3代株系进行苗期抗枯萎病和黑星病接种鉴定,并根据鉴定结果对枯萎病与黑星病的抗性遗传及两个抗病基因的连锁关系进行分析。【结果】亲本WIS2757抗枯萎病生理小种4和黑星病,津研2号高感两种病害。F1群体抗两种病害。根据F3株系对两种病害的抗病表现推断F2对应株的抗病基因型并进行卡方测验,结果表明,F2群体对枯萎病和黑星病的抗性分离均符合1﹕2﹕1的理论比例,而两对等位抗病基因的遗传不符合9﹕3﹕3﹕1的理论分离比例。连锁分析表明,黄瓜抗枯萎病生理小种4和黑星病的两对等位基因位于同一连锁群,两者的遗传距离为17.5 cM。【结论】WIS2757对枯萎病和黑星病的抗性均由单显性基因控制,将抗枯萎病生理小种4的基因暂定名为Foc-4。Foc-4和抗黑星病基因Ccu间存在遗传连锁关系。     

Identification of functional corridors with movement characteristics of brown bears on the Kenai Peninsula,Alaska

We identified primary habitat and functional corridors across a landscape using Global Positioning System (GPS) collar locations of brown bears (Ursus arctos). After deriving density, speed, and angular deviation of movement, we classified landscape function for a group of animals with a cluster analysis. We described areas with high amounts of sinuous movement as primary habitat patches and areas with high amounts of very directional, fast movement as highly functional bear corridors. The time between bear locations and scale of analysis influenced the number and size of corridors identified. Bear locations should be collected at intervals ≤6 h to correctly identify travel corridors. Our corridor identification technique will help managers move beyond the theoretical discussion of corridors and linkage zones to active management of landscape features that will preserve connectivity.     

Reaction behavior of lignin in supercritical methanol as studied with lignin model compounds

 The reaction behavior and kinetics of lignin model compounds were studied in supercritical methanol with a batch-type supercritical biomass conversion system. Guaiacol, veratrole, 2,6-dimethoxyphenol, and 1,2,3-trimethoxybenzene were used as model compounds for aromatic rings in lignin. In addition, 5-5, β-1, β-O-4, and α-O-4 types of dimeric lignin model compounds were used as representatives of linkages in lignin. As a result, aromatic rings and 5-5 (biphenyl)-type structures were stable in supercritical methanol, and the β-1 linkage was not cleaved in the β-1-type structure but converted rapidly to stilbene. On the other hand, β-ether and α-ether linkages of β-O-4 and α-O-4 lignin model compounds were cleaved rapidly, and these compounds decomposed to some monomeric compounds. Phenolic compounds were found to be more reactive than nonphenolic compounds. These results indicate that cleavages of ether linkages mainly contribute to the depolymerization of lignin, whereas condensed linkages such as the 5-5 and β-1 types are not cleaved in supercritical methanol. Therefore, it is suggested that the supercritical methanol treatment effectively depolymerizes lignin into the lower-molecular-weight products as a methanol-soluble portion mainly by cleavage of the β-ether structure, which is the dominant linkage in lignin. Received: December 19, 2001 / Accepted: April 30, 2002 Acknowledgments This research has been done under the research program for the development of technologies for establishing an ecosystem based on recycling in rural villages for the twenty-first century from the Ministry of Agriculture, Forestry and Fisheries, Japan; by a Grant-in-Aid for Scientific Research (B)(2) (no.12460144, 2001.4–2003.3) from the Ministry of Education, Culture, Sports, Science and Technology, Japan; and under the research program from Kansai Research Foundation for Technology Promotion, Japan. The authors thank them for their financial support. This study was presented in part at the 45th Lignin Symposium, Ehime, Japan, October 2000 and the 52nd Annual Meeting of the Japan Wood Research Society, Gifu, Japan, April 2002 Correspondence to:S. Saka