独角金内酯能抑制植物的分枝并介导植物与枞枝真菌及寄生植物间的相互作用

植物激素在植物生长发育中起着重要的调控作用;一种激素往往调控多个生理过程,而植物的某一生理过程则受制于多种激素的协同作用．独角金内酯（strigolactones）是新近发现的一种植物激素或其前体,能够抑制植物的分枝和侧芽的生长,与生长素和细胞分裂素一起调控植物的分枝数量．独角金内酯类化合物还能促进可与植物共生的真菌（枞枝真菌,Arbucular Mycorrhizal Fungi）菌丝分枝生长以促进共生关系的建立,而枞枝真菌则可帮助植物吸收土壤中的营养物质特别是无机磷．独角金内酯还能刺激寄生植物如独角金（striga）和列当（orobanche）等的种子的萌发．这种激素在植物的根中合成,它既可以向地上部位输送以调节植物的生长,也可直接释放到土壤中以介导植物与土壤微生物及寄生植物的信号交换．其生物合成还受到植物营养水平的调节,当植物处于磷饥饿状态时,它的合成水平会升高．根据独角金内酯已知的功能,可以预测其广泛的应用前景．     

封面说明

<正>独脚金内酯(strigolactones,SLs)是一类新型植物激素,能够抑制植物分枝的生长发育。近年来,关于SLs合成与信号在调控水稻株型方面的研究取得了重要进展。研究发现,独脚金内酯不仅可以调控水稻的分蘖数目,而且可影响分蘖角度和株高,进而影响穗部形态和籽粒大小,对水稻的产量具有显著的影响。鉴于独脚金内酯对于水稻株型的综合调控功     

植物激素对分枝发育的协同调控作用研究进展

植物分枝与其适应环境、生存竞争能力及产量形成密切相关。近年的研究表明植物激素信号在调控植物分枝发育过程中起关键作用。文章主要介绍了生长素、细胞分裂素以及独脚金内酯协同调控植物分枝发育的研究进展,为深入了解植物分枝发育的调控机制提供参考。     

新型植物激素——独脚金素内酯

摘要独脚金素内酯属倍半萜类化合物,具有促进独脚金属（Striga）和列当属（Orobanche）根寄生植物种子萌发的作用,并介导植物与丛枝菌根真菌之间共生关系的建立。最近研究发现该类化合物能够抑制植物的分枝,是继生长素和细胞分裂素之后发现的具有调节植物分枝形成的新型激素。主要阐述了该类化合物的化学结构、生物合成途径和近年来生物活性的研究进展。     

《自然》:调控水稻分枝蛋白获遗传学证实

<正>中国农业科学院作物科学研究所万建民课题组与南京农业大学作物遗传与种质改良国家重点实验室合作,首次在遗传和生化层面证实,D53蛋白可作为独脚金内酯信号途径的抑制子,参与调控植物分枝(蘖)的生长发育。相关成果于12月11日在线发表于《自然》杂志。万建民课题组利用一个部分显性水稻矮化多分蘖突变体进行了外源激素处理和内源激素测定。结果表明,d53是一个独脚金内酯不敏感突     

独脚金内酯信号感知揭示配体-受体作用新机制

植物激素在调控细胞与细胞及细胞与环境的相互作用中起着至关重要的作用。作为一种信号分子, 植物激素如何被植物细胞感知一直是植物生物学研究的热点。与底物-酶相互作用的结果不同, 激素分子与受体结合后会触发信号转导, 但激素分子一般不会被受体修饰, 信号转导起始后激素分子通常会从复合体中释放出来被重新利用或降解。近期, 我国科学家通过对独脚金内酯及其受体复合体(AtD14-D3-ASK1)的结构学解析, 发现独脚金内酯的生物活性分子CLIM (covalently linked intermediate molecule)是独脚金内酯被其受体水解后得到的中间分子。研究表明, CLIM与受体AtD14的催化中心以共价键相结合, 进而激活其信号转导。该研究揭示了一种全新的“底物-酶-活性分子-受体”激素识别机制。这种配体-受体作用新机制的发现为植物激素研究开拓了新的视野。     

独脚金内酯调控水稻分蘖的研究进展

水稻(Oryza sativa)作为世界上最主要的粮食作物之一, 对其主要农艺性状调控机理的研究具有重要意义。分蘖是水稻生长发育过程中一种特殊的分枝, 它不仅是与水稻产量密切相关的重要农艺性状, 也是揭示高等植物侧枝生长发育机制的理想模型。独脚金内酯(strigolactone, SL)是一类新型植物激素, 能够抑制植物分枝的生长发育。近年来, 关于SL合成与信号在调控水稻分蘖方面的研究取得了重要进展, 但对其信号转导的下游组分的研究还相对匮乏。该文综述了SL合成途径、信号途径及下游靶基因调控水稻分蘖的研究进展, 并与在拟南芥(Arabidopsis thaliana)、豌豆(Pisum sativum)和矮牵牛(Petunia hybrida)中的研究进行了比较, 同时还对如何挖掘SL途径的新组分进行了讨论。     

独脚金内酯信号途径的新发现——抑制子也是转录因子

植物激素信号传导途径中的抑制子(repressor) DELLA、AUX/IAA、JAZ和D53/SMXL均结合下游转录因子并抑制其转录活性, 从而阻遏激素响应基因的表达; 激素分子则激活信号传导链降解抑制子、释放转录因子, 从而诱导响应基因表达并介导相应的生物学功能。中国科学院遗传与发育生物学研究所李家洋研究团队最新的研究发现, 独脚金内酯(SL)信号途径中的SMXL6、SMXL7和SMXL8是具有抑制子和转录因子双重功能的新型抑制子, 他们还通过研究SL转录调控网络发现了大量新的SL响应基因, 揭示了SL调控植物分枝、叶片伸长和花色素苷积累的分子机制。这些重要发现为探索植物激素作用机理提供了新思路, 具有重要科学意义和应用前景。     

黄芪幼苗根系生长发育与GR24和IAA的关系北大核心CSCD

为探究独脚金内酯和生长素对黄芪根系生长发育的影响,该研究以膜荚黄芪和蒙古黄芪幼苗为材料,在种子萌发袋中添加不同浓度GR24和IAA(2μmol·L^(-1) GR24、5μmol·L^(-1) IAA和2μmol·L^(-1) GR24+5μmol·L^(-1) IAA),7 d后检测黄芪幼苗主根长和侧根数,并测定内源激素含量、生长素和独脚金内酯相关基因表达量的变化。结果表明:(1)GR24处理显著促进黄芪主根生长。(2)IAA处理下主根生长受到抑制,侧根数明显增加。(3)GR24+IAA处理下主根的生长同样受到抑制,膜荚黄芪侧根数较IAA处理下减少,说明GR24有抑制IAA对侧根发育的诱导作用,但不能缓解IAA对黄芪主根生长的抑制。(4)3种处理下黄芪幼苗根系内源激素含量、生长素和独脚金内酯相关基因表达量发生了显著变化,说明GR24和IAA对黄芪幼苗主根长和侧根数的影响可能与生长素和独脚金内酯相关基因表达及内源激素水平的变化有关。该研究结果初步阐明了黄芪幼苗根系生长发育与GR24和IAA之间的关系,为黄芪规范化育苗和幼苗质量控制提供理论依据,对进一步探索独脚金内酯和生长素调控黄芪根系生长发育的分子机制具有一定的意义。     

独脚金内酯信号途径的新发现——抑制子也是转录因子

植物激素信号传导途径中的抑制子(repressor) DELLA、AUX/IAA、JAZ和D53/SMXL均结合下游转录因子并抑制其转录活性,从而阻遏激素响应基因的表达;激素分子则激活信号传导链降解抑制子、释放转录因子,从而诱导响应基因表达并介导相应的生物学功能。中国科学院遗传与发育生物学研究所李家洋研究团队最新的研究发现,独脚金内酯(SL)信号途径中的SMXL6、SMXL7和SMXL8是具有抑制子和转录因子双重功能的新型抑制子,他们还通过研究SL转录调控网络发现了大量新的SL响应基因,揭示了SL调控植物分枝、叶片伸长和花色素苷积累的分子机制。这些重要发现为探索植物激素作用机理提供了新思路,具有重要科学意义和应用前景。     

空间独立成分分析实现fMRI信号的盲分离

独立成分分析（ICA）在功能核磁共振成像（fMRI)技术中的应用是近年来人们关注的一个热点。简要介绍了空间独立成分分析（SICA）的模型和方法,将fMRI信号分析看作是一种盲源分离问题,用快速算法实现fMRI信号的盲源分离。对fMRI信号的研究大多是在假定已知事件相关时间过程曲线的情况下,利用相关性分析得到脑的激活区域。在不清楚有哪几种因素对fMRI信号有贡献、也不清楚其时间过程曲线的情况下,用SICA可以对fMRI信号进行盲源分离,提取不同独立成分得到任务相关成分、头动成分、瞬时任务相关成分、噪声干扰、以及其它产生fMRI信号的多种源信号。     

Long-distance signalling in plant defence

Plants use inducible defence mechanisms to fend off harmful organisms. Resistance that is induced in response to local attack is often expressed systemically, that is, in organs that are not yet damaged. In the search for translocated defence signals, biochemical studies follow the physical movement of putative signals, and grafting experiments use mutants that are impaired in the production or perception of these signals. Long-distance signals can directly activate defence or can prime for the stronger and faster induction of defence. Historically, research has focused on the vascular transport of signalling metabolites, but volatiles can play a crucial role as well. We compare the advantages and constraints of vascular and airborne signals for the plant, and discuss how they can act in synergy to achieve optimised resistance in distal plant parts.     

The zinc/thiolate redox biochemistry of metallothionein and the control of zinc ion fluctuations in cell signaling

Free zinc ions are potent effectors of proteins. Their tightly controlled fluctuations ("zinc signals") in the picomolar range of concentrations modulate cellular signaling pathways. Sulfur (cysteine) donors generate redox-active coordination environments in proteins for the redox-inert zinc ion and make it possible for redox signals to induce zinc signals. Amplitudes of zinc signals are determined by the cellular zinc buffering capacity, which itself is redox-sensitive. In part by interfering with zinc and redox buffering, reactive species, drugs, toxins, and metal ions can elicit zinc signals that initiate physiological and pathobiochemical changes or lead to cellular injury when free zinc ions are sustained at higher concentrations. These interactions establish redox-inert zinc as an important factor in redox signaling. At the center of zinc/redox signaling are the zinc/thiolate clusters of metallothionein. They can transduce zinc and redox signals and thereby attenuate or amplify these signals.     

Evolution of acoustic and visual signals in Asian barbets

The study of animal communication systems is an important step towards gaining greater understanding of the processes influencing diversification because signals often play an important role in mate choice and can lead to reproductive isolation. Signal evolution can be influenced by a diversity of factors such as biophysical constraints on the emitter, the signalling environment, or selection to avoid heterospecific matings. Furthermore, because signals can be costly to produce, trade‐offs may exist between different types of signals. Here, we apply phylogenetic comparative analyses to study the evolution of acoustic and visual signals in Asian barbets, a clade of non‐Passerine, forest‐dependent birds. Our results suggest that evolution of acoustic and visual signals in barbets is influenced by diverse factors, such as morphology and signalling environment, suggesting a potential effect of sensory drive. We found no trade‐offs between visual and acoustic signals. Quite to the contrary, more colourful species sing significantly longer songs. Song characteristics presented distinct patterns of evolution. Song frequency diverged early on and the rate of evolution of this trait appears to be constrained by body size. On the other hand, characteristics associated with length of the song presented evidence for more recent divergence. Finally, our results indicate that there is a spatial component to the evolution of visual signals, and that visual signals are more divergent between closely related taxa than acoustic signals. Hence, visual signals in these species could play a role in speciation or reinforcement of reproductive isolation following secondary contacts.     

基于PC声卡的生物医学电信号采集方法

把生物医学电信号以线性调幅的方法调制在音频载波信号之上,用PC声卡采集该已调波信号,用软件实现调幅波的解调,经数字低通滤波器的滤波,恢复出生物医学电信号,达到采集和显示生物医学电信号的的目的。实践证明,该方法具有成本低、多通道工作实时性好的特点,具有实用价值。     

A New Method for Nonlinear Dynamic Analysis of the Multi-kinetics Neural Mass Model

ObjectiveThe aim was to use a new method to analyze the nonlinear dynamic characteristics of the multi-kinetics neural mass model. We hope that this new method can be as an auxiliary judgment tool for the diagnosis of brain diseases and the identification of brain activity states.MethodsWe apply the Lorenz plot to analyze the nonlinear dynamic characteristics of electroencephalogram (EEG) signals from the multi-kinetics neural mass models. The standard deviations in two orthogonal directions of the Lorenz plot are further used to quantify the nonlinear dynamic characteristics of EEG signals.ResultsThe results show that the normalized signal frequency power spectrum may not be able to distinguish normal EEG signals and epileptiform spikes, but the Lorenz plot can distinguish the normal EEG signals and epileptiform spikes effectively. For EEG signals with multi-rhythms, the Lorenz plot of all the simulated signals are oval, but the value of SD1/SD2 increases monotonically when the multi-rhythm EEG signals change from low frequency to high frequency.ConclusionThe Lorenz plot of EEG signals with different rhythms presents different distribution. It is an effective nonlinear analysis method for EEG signals.     

The evolution of experience-mediated plasticity in mate preferences

Experience of sexual signals can alter mate preferences and influence the course of sexual selection. Here, we examine the patterns of experience-mediated plasticity in mate preferences that can arise in response to variation in the composition of mates in the environment. We use these patterns to test hypotheses about potential sources of selection favouring experience-mediated plasticity. We manipulated signal experience of female Enchenopa treehoppers (Hemiptera: Membracidae) in a vibrational playback experiment with the following treatments: silence; two types of non-preferred signals; preferred signals; and a mixture of preferred and non-preferred signals. This experiment revealed plasticity in mate preference selectivity, with greatest selectivity in the mixed signal treatment, followed by the preferred signal treatment. We found no plasticity in peak preference. These results suggest that females have been selected to adjust preference selectivity according to the variability of potential mates in their social environment, as well as to the presence/absence of preferred mates. We discuss how experience-mediated plasticity in mate preferences can influence the strength of selection on male signals and can result in evolutionary dynamics between variation in preferences and signals that either promote the maintenance of variation or facilitate rapid trait fixation.     

Integration of bimodal looming signals through neuronal coherence in the temporal lobe

The ability to integrate information across multiple sensory systems offers several behavioral advantages, from quicker reaction times and more accurate responses to better detection and more robust learning. At the neural level, multisensory integration requires large-scale interactions between different brain regions--the convergence of information from separate sensory modalities, represented by distinct neuronal populations. The interactions between these neuronal populations must be fast and flexible, so that behaviorally relevant signals belonging to the same object or event can be immediately integrated and integration of unrelated signals can be prevented. Looming signals are a particular class of signals that are behaviorally relevant for animals and that occur in both the auditory and visual domain. These signals indicate the rapid approach of objects and provide highly salient warning cues about impending impact. We show here that multisensory integration of auditory and visual looming signals may be mediated by functional interactions between auditory cortex and the superior temporal sulcus, two areas involved in integrating behaviorally relevant auditory-visual signals. Audiovisual looming signals elicited increased gamma-band coherence between these areas, relative to unimodal or receding-motion signals. This suggests that the neocortex uses fast, flexible intercortical interactions to mediate multisensory integration.     

Cheap talk when interests conflict

Most evolutionary analyses of animal communication suggest that low-cost signals can evolve only when both the signaller and the recipient rank outcomes in the same order. When there is a conflict of interest between sender and receiver, honest signals must be costly. However, recent work suggests that low-cost signals can be evolutionarily stable, even when the sender and the receiver rank outcomes in different orders, as long as the interest in achieving coordination is sufficiently great. In this paper, we extend this body of work by analysing a game theory model that shows that low-cost signals can evolve when there are conflicts of interest and no interest in coordination, as long as individuals interact repeatedly. We also present an empirical example indicating that female rhesus macaques, Macaca mulatta, use honest, low-cost, vocal signals to facilitate interactions when conflicts of interest exist. Copyright 2000 The Association for the Study of Animal Behaviour.     

Primate Communication: By Nature Honest, or by Experience Wise?

We review evolutionary views on honesty and deception and their application to studies of nonhuman primate communication. There is evidence that some primate signals are likely to be accurate on the basis of costliness. They appear most often in contexts that include overtly competitive interactions in which unrelated individuals have limited access to information about one another. However, both game theoretic models and most empirical work suggest that costly signals are not often likely to be the basis for honest communication in nonhuman primates. Inexpensive signaling can exist in contexts wherein communication occurs among related animals, something common among many nonhuman primate societies. Another condition in which inexpensive signaling is possible and that is also typical of nonhuman primates, is when sender and receiver both benefit from coordinated interactions. Additionally, when individuals interact repeatedly and can use past interactions to assess the honesty of signals and to modify future response to signals, low-cost signals can evolve. Nonhuman primates appear to deal with the problem of deception via skeptical responding, which can be largely accounted for by learning rules and the fact that they live in stable social groups and can recognize one another and recall past interactions.