桔梗花粉母细胞减数分裂及雄性败育的细胞生理学研究

以桔梗不育系PA及其保持系PB为试验材料,采用石蜡切片和改良苯酚品红染色压片法对花粉母细胞减数分裂和雄配子体发育过程进行比较,探讨桔梗雄性不育系小孢子形成过程和败育发生的细胞生理学机理。结果表明:(1)桔梗保持系PB花粉母细胞减数分裂的细胞质分裂为同时型,同一花药减数分裂较同步;在中期Ⅰ和中期Ⅱ,少数细胞中可见赤道板外染色体;四分体以四面体为主,成熟花粉粒为二核花粉。(2)不育系PA花粉母细胞减数分裂后期Ⅰ开始出现异常,表现为细胞质形态改变,末期Ⅱ之后细胞质不能分裂,形成异常四分体,胼胝质壁不能溶解,四分体难以释放出游离小孢子而被降解,导致败育。(3)在发育过程中,桔梗不育系花蕾游离脯氨酸、可溶性蛋白含量低于保持系,而SOD活性、丙二醛含量均高于保持系。(4)桔梗不育系PA及其保持系PB花粉母细胞减数分裂和雄配子体发育过程存在明显差异,桔梗雄性败育过程大体可分为4个阶段,即后期Ⅰ细胞质异常、末期Ⅱ之后细胞质不能分裂、四分体难以释放游离小孢子、四分体被降解仅残留碎片。研究认为,桔梗不育花蕾(开花前)生长发育过程中,体内活性氧代谢紊乱、丙二醛积累及游离脯氨酸等"物质代谢损亏"可能是引起桔梗雄性败育的原因。     

长春蒲公英雄性不育株形态学观察与败育细胞学研究

在长春蒲公英(Taraxacum junpeianum Kitam.)株群中发现雄性不育现象,为研究其败育机理及特点,探寻其不育基因,采用形态观察法、石蜡切片技术和染色体压片法,对长春蒲公英野生型及其雄性不育株的花药发育过程和花粉母细胞减数分裂过程进行了观察。结果表明:(1)长春蒲公英雄性不育株花药中部发红、干瘪、无花粉散出。与野生型比较,雄性不育株雄蕊更短,子房更窄,种子形态更加狭长;(2)长春蒲公英雄性不育株败育时期为四分体到单核小孢子前期,败育方式为小孢子自身异常发育,绒毡层异常分解,互相粘连败育;(3)长春蒲公英雄性不育株花粉母细胞减数分裂二分体时期出现落后微核,随后产生极少四分体,并且四分体产生大量染色体桥,小孢子营养物质流失,彻底败育。因此,长春蒲公英雄性不育株败育彻底、稳定,并且有种的特点。小孢子自身异常发育和绒毡层异常分解是导致败育的主要原因。     

太谷核不育小麦花药内游离脯氨酸和总氨基酸含量的变化及其与育性的关系

本文对显性单基因控制的太谷核不育小麦不同发育阶段的可育株和不育株的花药及雌蕊内游离肺氨酸和游离总氨基酸的含量进行了分析。结果表明:(1)在小孢子母细胞减数分裂期,不同育性花药之间游离脯氨酸的含量无明显差异,且含量较低。(2)在小孢子单核初期,可育花药内游离脯氨酸的含量显著高于不育花药,是不育花药的7倍,比减数分裂期增加20倍,高达其干重的1.65％,占其游离总氨基酸的50％。(3)在雌蕊中,游离脯氨酸的含量远远低于花药,不同育性植株之间差异不很明显。(4)关于游离总氨基酸的含量,在花药中减数分裂期,不同育性植株之间无明显差异;在小孢子单核初期,可育株高于不育株。在雌蕊中,相应于小孢子单核初期时,可育株稍高于不育株,受精后迅速趋于一致,但整个变化幅度不大。     

甘蓝型油菜几个雄性不育系花药发育的细胞形态学研究

选用甘蓝型油菜6个细胞质雄性不育系和1个细胞核雄性不育系为材料,与可育系比较,确定花药发育受阻的时期和方式。根据研究结果,将其雄性不育系分为三类:1.湘矮A,Po-aA,陕2A和7s-3A花药发育受阻于孢原细胞分化期,没有分化形成花粉囊。2.萝AⅠ和萝AⅡ花药发育受阻于四分体至单核花粉期。败育方式为小孢子难以从四分体中释放出来,或释放出来后细胞质液泡化,核不能分裂,花粉壁发育不良。此外,还见到绒毡层径向肥大、延迟消失和维管束分化不良等异常现象。3.宜3A为核不育系,花药发育受阻于花粉母细胞期。败育方式为花粉母细胞死亡,减数分裂异常,或不能进行减数分裂。绒毡层和维管束一般都能正常发育。     

高粱雄性不育与可育花药同工酶及游离组蛋白的比较研究

本文研究了高粱细胞质雄性不育花药、可育花药不同发育时期的COD、PPO、MDH及游离组蛋白变化特征,结果表明,在花粉母细胞减数分裂期,COD、PPO未呈现差异,但到了小孢子单核期,不育花药与可育花药间COD、PPO出现明显差异,并且这种差异一直保持至花粉粒双核—三核期。COD、PPO的变化时期与花粉败育的关键时期(小孢子单核期)相一致。不育花药与可育花药的MDH两者相同,但游离组蛋白在花药发育的不同时期均呈现明显差异。本文作者将不育花药、可育花药的COD、PPO及游离组蛋白中出现的差异归因于不育花药中的细胞质不育基因对核基因表达的调控作用。     

杉木雄性不育株与可育株的过氧化物酶同工酶和呼吸强度的比较研究

本文对杉木（Ｃｕｎｎｉｎｇｈａｍｉａｌａｎｃｅｏｌａｔａ（Ｌａｍｂ．）Ｈｏｏｋ．）雄性不育株与可育株在小孢子发生和发育过程中的雄球花和叶进行过氧化物酶同工酶和呼吸强度的研究。结果表明：可育株雄球花在其小孢子发生和发育过程中有三个呼吸高峰,可划分为７个时期－－花芽分化期、小孢子囊分化和造孢细胞形成期、造孢细胞＂休眠＂期、小孢子母细胞形成和减数分裂期、四分体时期、雄配子体形成期、撒粉期。而不育株只出现前二个呼吸峰和前５个时期,在小孢子母细胞形成后,呼吸强度降至低谷,导致能量供应短缺和减数分裂异常,引起败育。不育株叶在其造抱细胞＂休眠＂期无呼吸峰出现可能与其败育有关。不耷株雄球花过氧化物酶同工酶酶谱明显不同于可育株。作者认为：杉木雄性不育是由核不育基因和细胞质不育基因共同调控的结果,调控过氧化物酶同工酶表达可能有三种不同的遗传功能。过氧化物酶对呼吸作用有一定影响,但各种过氧化物酶同工酶并非等效。     

白菜细胞核雄性不育两用系的细胞学观察

对白菜细胞核雄性不育两用系进行了花粉母细胞减数分裂和小孢子发育的细胞学观察,实验结果初步表明不育系小孢子败育时期在减数分裂末期Ⅱ这一阶段,败育方式是不能形成四分体,随后小孢子内颗粒状的内含物不断外溢,直至成为一个空壳,药室萎缩,导致花粉败育。     

高温敏感不育水稻育性敏感期幼穗和叶片中的总RNA含量变化(简报)

在育性敏感的两个时期──花粉母细胞形成期和花粉母细胞减数分裂期,１３５６Ｓ和衡农Ｓ－２不育株幼穗的总ＲＮ Ａ含量极显著低于可育株,分别是可育株的４２．３％、４６．５％、４１．８％和４０．１％,这必然影响花粉母细胞形成及分裂所必需的蛋白质的合成,以致花粉不能正常发育,最终导致花粉败育。     

萍乡显性核不育水稻花粉败育的细胞形态学观察

利用光学显微镜技术对萍乡显性不育水稻（PXDGMSR）可育株和不育株花粉形成及发育过程,药壁组织的基本结构及其发育进行了研究,导致其不育株花粉败育的主要原因有：（1）绒毡层细胞解体延迟;（2）花粉母细胞减数分裂方式为“连续型”,但分裂期细胞液泡化严重,染色体粘连,纺缍体形成不规则,核中出现囊泡化现象,（3）花粉母细胞减数分裂方式为“同时型”,母细胞形成多核现象。     

高温敏感不育水稻育性敏感期幼穗和叶片中的总RNA含量变化

在育性敏感的两个时期－花粉母细胞形成期和花粉母细胞减数分裂期,１３５６Ｓ和衡农Ｓ－２不育株幼的总ＲＮＡ含量极显著低于可育株,分别是可育株的４２．３％,４６．５％,４１．８％和４０．１％,这必然影响花粉母细胞形成及分裂所必需的蛋白质的合成,以致花粉不能正常发育,最终导致花粉败育。     

颌下腺导管细胞与胶原海绵细胞相容性的实验研究

为探讨胶原海绵对颌下腺 (submandibulargland ,SMG)导管细胞的细胞相容性 ,采用HE染色光镜观察及免疫组化观察SMG导管细胞接种于胶原海绵后 ,细胞的生长情况。光镜下可见接种后第 1d细胞数量较少 ,分散于胶原海绵支架中间 ,第 7d细胞数量明显增加 ,免疫组织化学染色抗IV型胶原抗体染色呈阳性 ,说明细胞与支架材料之间已经有细胞外基质产生。胶原海绵具有良好的细胞相容性 ,是一种理想的支架材料。与胶原海绵复合培养 ,颌下腺导管细胞仍可保持良好的增殖能力。     

Determining Cell Number During Cell Culture using the Scepter Cell Counter

Counting cells is often a necessary but tedious step for in vitro cell culture. Consistent cell concentrations ensure experimental reproducibility and accuracy. Cell counts are important for monitoring cell health and proliferation rate, assessing immortalization or transformation, seeding cells for subsequent experiments, transfection or infection, and preparing for cell-based assays. It is important that cell counts be accurate, consistent, and fast, particularly for quantitative measurements of cellular responses.Despite this need for speed and accuracy in cell counting, 71% of 400 researchers surveyed¹ who count cells using a hemocytometer. While hemocytometry is inexpensive, it is laborious and subject to user bias and misuse, which results in inaccurate counts. Hemocytometers are made of special optical glass on which cell suspensions are loaded in specified volumes and counted under a microscope. Sources of errors in hemocytometry include: uneven cell distribution in the sample, too many or too few cells in the sample, subjective decisions as to whether a given cell falls within the defined counting area, contamination of the hemocytometer, user-to-user variation, and variation of hemocytometer filling rate².To alleviate the tedium associated with manual counting, 29% of researchers count cells using automated cell counting devices; these include vision-based counters, systems that detect cells using the Coulter principle, or flow cytometry¹. For most researchers, the main barrier to using an automated system is the price associated with these large benchtop instruments¹.The Scepter cell counter is an automated handheld device that offers the automation and accuracy of Coulter counting at a relatively low cost. The system employs the Coulter principle of impedance-based particle detection³ in a miniaturized format using a combination of analog and digital hardware for sensing, signal processing, data storage, and graphical display. The disposable tip is engineered with a microfabricated, cell- sensing zone that enables discrimination by cell size and cell volume at sub-micron and sub-picoliter resolution. Enhanced with precision liquid-handling channels and electronics, the Scepter cell counter reports cell population statistics graphically displayed as a histogram.     

Cell Physician: Reading Cell Motion

Cell motility is an essential phenomenon in almost all living organisms. It is natural to think that behavioral or shape changes of a cell bear information about the underlying mechanisms that generate these changes. Reading cell motion, namely, understanding the underlying biophysical and mechanochemical processes, is of paramount importance. The mathematical model developed in this paper determines some physical features and material properties of the cells locally through analysis of live cell image sequences and uses this information to make further inferences about the molecular structures, dynamics, and processes within the cells, such as the actin network, microdomains, chemotaxis, adhesion, and retrograde flow. The generality of the principals used in formation of the model ensures its wide applicability to different phenomena at various levels. Based on the model outcomes, we hypothesize a novel biological model for collective biomechanical and molecular mechanism of cell motion.     

细胞提取物重编程研究进展

体细胞重编程是在特定的条件下使已分化的细胞转变成为另一种细胞.体细胞重编程的方式主要有体细胞核移植技术、细胞融合技术、细胞提取物处理技术及特定转录因子转染技术.现有研究表明,细胞提取物重编程技术在体细胞重编程中发挥着一定的作用,为此,就该技术的最新研究进展和可能机制作一综述.     

Tuning Cell Motility via Cell Tension with a Mechanochemical Cell Migration Model

Cell migration is orchestrated by a complicated mechanochemical system. However, few cell migration models take into account the coupling between the biochemical network and mechanical factors. Here, we construct a mechanochemical cell migration model to study the cell tension effect on cell migration. Our model incorporates the interactions between Rac-GTP, Rac-GDP, F-actin, myosin, and cell tension, and it is very convenient in capturing the change of cell shape by taking the phase field approach. This model captures the characteristic features of cell polarization, cell shape change, and cell migration modes. It shows that cell tension inhibits migration ability monotonically when cells are applied with persistent external stimuli. On the other hand, if random internal noise is significant, the regulation of cell tension exerts a nonmonotonic effect on cell migration. Because the increase of cell tension hinders the formation of multiple protrusions, migration ability could be maximized at intermediate cell tension under random internal noise. These model predictions are consistent with our single-cell experiments and other experimental results.     

Cell Cycle Markers for Live Cell Analyses

Many cellular processes are regulated by cell cycle dependent changes in protein dynamics and localization. Studying these changes in vivo requires methods to distinguish the different cell cycle stages. Here we demonstrate the use of DNA Ligase I fused to DsRed1 as an in situ marker to identify S phase and the subsequent transition to G2 in live cells. Using this marker, we observed changes in the nuclear distribution of Dnmt1 during cell cycle progression. Based on the different nuclear distribution of DNA Ligase I and Dnmt1 in G2 and G1, we demonstrate that the combination of both proteins allows the direct discrimination of all cell cycle phases using either immunostainings or fusions with fluorescent proteins. These markers are new tools to directly study cell cycle dependent processes in both, fixed and living cells.