广州市花地湾市场宠物两栖动物调查

通过对广州市花地湾花鸟鱼虫市场两栖类宠物贸易进行为期3年27次调查,共记录贸易两栖类类44种,隶属2目16科35属。有尾目(Caudata)2科7属8种,钝口螈科(Ambystomatidae)1属2种,蝾螈科(Salamandridae)6属6种;无尾目(Anura)14科28属36种,铃蟾科(Bombinatoridae)1属1种,蟾蜍科(Bufonidae)3属3种,角花蟾科(Ceratophryidae)2属5种,其中1种为杂交种,丛蛙科(Dendrobatidae)2属4种,雨蛙科(Hylidae)3属5种,非洲树蛙科(Hyperoliidae)1属1种,角蟾科(Megophryidae)2属2种,姬蛙科(Microhylidae)5属6种,澳雨蛙科(Pelodryadidae)1属1种,叶泡蛙科(Phyllomedusidae)1属1种,负子蟾科(Pipidae)1属1种,箱头蛙科(Pyxicephalidae)1属1种,蛙科(Ranidae)2属2种,树蛙科(Rhacophoridae)3属3种。分布于国内的两栖类16种,外来物种共28种。受保护种类26种,所占比例达59.09%。讨论了两栖类宠物贸易对国内外珍稀濒危种类保护的压力、对生态系统的压力和对两爬类研究的影响。     

秦岭及大巴山地区两栖爬行动物调查报告

1.1961—1962年在秦巴地区共获两栖纲动物23种,隶11属、8科、2目;爬行纲21种,隶15属、6科、2目。 2.发现五个两栖纲新种:秦巴北鲵Ranodon tsinpaensis Liu et Hu,sp.nov.,南江角蟾Megophrys nankiangensis Liu et Hu,sp.nov.,秦岭雨蛙Hyla tsinlingensis Liu et Hu,sp.nov.,光雾臭蛙Rana kuangwuensis Liu et Hu,sp.nov.,合征姬蛙Microhyla mixturaLiu et Hu,sp.nov.;一个爬行纲新种:秦岭滑蜥Leiolopisma tsinlingensis Hu et Djao,sp.nov.。增加陕西省新纪录两栖纲5种,爬行纲11种。修订原纪录分布于秦岭的中国雨蛙为新种秦岭雨蛙,棘腹蛙为隆肛蛙。在秦岭采到中国林蛙的地模标本。 3.秦岭作为古北界与东洋界的区系分界线,在两栖纲方面表现为在秦岭北坡种类少(8种),缺少东洋界的代表类型,如泽蛙、树蛙等;秦岭南坡至大巴山种类逐渐增加(共23种);东洋界的代表类型逐渐繁多;但树蛙种类少,数量亦少。在爬行纲方面北坡周至附近获无蹼壁虎,丽斑麻蜥及黄脊游蛇古北界代表动物。白眉蝮不同垂直分布区有明显的差异。 4.秦巴区的四种两栖纲优势种(隆肛蛙、秦巴北鲵、秦岭雨蛙及合征姬蛙)的分布特征,可初步说明秦巴区具有独特的区系组成。     

用RAPD分析四种无尾类的系统演化关系

利用RAPD技术检测了分属无尾目3个科（雨蛙科、蟾蜍科、蛙科）的黑眶蟾蜍（Bufomelanostictus)、中国雨蛙（Hyla chinensis）、泽陆蛙（Rana limnocharis）、沼水蛙（R.guentheri)的系统发生关系。经19个随机引物对4个物种基因组DNA进行扩增,选择其中扩增谱带清晰的16个引物进行分析,计算不同科间及同一科内不同种间的遗传距离,结果表明：16个引物获得的RAPD谱带均表现出不同程度的多态性;泽陆蛙与沼水蛙间的亲缘关系最近,而黑眶蟾蜍与中国雨蛙之间的亲缘关系较黑眶蟾蜍与蛙科的泽陆蛙、沼水蛙之间以及中国雨蛙与泽陆蛙、沼水蛙之间的亲缘关系近,从基因组DNA水平上也说明雨蛙科与蟾蜍科间的亲缘关系更近,与蛙科的亲缘关系更远,这与形态学、染色体和线粒体DNA多态性研究的分析结果一致,从而进一步从分子水平上为无属目这3科的系统演化提供了新的证据。     

我国蝌蚪的科级分类研究

2017年末,我国的两栖动物已记录3目14科466种,其中,无尾目Anura 10科386种。蝌蚪是无尾两栖类物种的幼体,具有一系列适应水生生活的形态特征和一个特别的变态过程,是无尾目的主要标志之一。我国蝌蚪的形态特征散见于各个物种的形态描述,而对蝌蚪科级分类的系统研究却阙如。本文基于蝌蚪的8个形态学分类性状,概述了我国除亚洲角蛙科Ceratobatrachidae外9个科(铃蟾科Bombinatoridae、角蟾科Megophryidae、蟾蜍科Bufonidae、雨蛙科Hylidae、蛙科Ranidae、叉舌蛙科Dicroglossidae、浮蛙科Occidozygidae、树蛙科Rhacophoridae、姬蛙科Microhylidae)的蝌蚪分类特征,系统阐述了蝌蚪科级分类特征的分类和适应意义。     

基于18S rRNA基因部分序列探讨四种蛙类多盘科吸虫分类地位

分析了寄生于蛙类膀胱的4种多盘虫科Polystomatidae吸虫:石林双睾吸虫Diplorchis shilinensis、锯腿树蛙多盘吸虫Polystoma carvirostris和分别寄生于昭觉林蛙Rana chaochiaoensis、华西雨蛙Hyla a.annectans的2未定种的分类地位,并利用18S rRNA基因部分序列进行了系统发育重建.结果表明:4种多盘科吸虫为多盘虫属Polystoma和双睾虫属Diplorchis的4个分类单元,其中2未定种为多盘虫属未记录种;肠管、生殖系统、后吸器、大钩和生殖棘等为多盘虫属属内种定种的可靠性状.基于18S rRNA基因序列,4种多盘科吸虫呈现以下进化关系:1)寄生于昭觉林蛙和华西雨蛙的多盘虫属2未定种进入欧非混合进化支;2)锯腿树蛙多盘吸虫位于多盘虫属进化支的最基部;3)石林双睾吸虫进入澳洲进化支.     

四川峨眉山蛙属一新种——峰斑蛙

刘、胡(1961)曾报道四川峨眉山有无尾类25种,有尾类2种。后经多次采集,又获得两栖动物5种,即龙洞山溪鲵Batrachuperus longdongensis、沙坪角蟾 Magophrys shapi-ngensis、宝兴齿蟾Oreolalax popei、四川湍蛙Staurois mantzorum和本文描述的峰斑蛙Rana chevronta,新种。到目前为止,峨眉山共有两栖动物32种,其区系成分兼有华中区和西南区的特点,为两区之过渡地带。现将峰斑蛙新种描述于下。     

不,你不了解红眼树蛙

正大家都听说过红眼树蛙吧?基本上,它的名字已经说明了它的长相——又是"红眼"又是"蛙"的,一听就能猜出它大概长啥样。喏,就是这种红眼睛、绿身体、蓝腿腿、橙脚丫的美貌蛙。今天,火狐狸姐姐说的不是认不认识它的问题,而是要问大家:你真的了解红眼树蛙吗?你确定?它是树蛙吗?它都叫红眼树蛙了,当然是树蛙!这简直是道送分题!(重庆李子沐)生活在树上的蛙,应该都是树蛙吧!(郑州张芸嫣)我的答案:答案可能有点儿出乎各位哥迷的意料——红眼树蛙其实不是树蛙,而是雨蛙。红眼树蛙这个名字,纯属谬误。雨蛙和树蛙都是生活在雨林里的蛙类,长得有点儿像,但细看其实     

红蹼树蛙繁殖期鸣声特征及鸣叫节律

鸣叫是无尾两栖类声音通讯的重要环节之一。许多蛙类的鸣叫行为具有节律性,且受温度和湿度的影响。为研究红蹼树蛙(Rhacophorus rhodopus)的鸣声特征和鸣叫节律,2016年5—6月,采用录音机和指向性话筒,在野外录制了61只雄性红蹼树蛙的鸣声,并通过悬挂录音笔和自动温湿度记录仪研究其鸣叫节律(22 d)。结果发现:红蹼树蛙的鸣声分为单音节和多音节(音节数2~20;平均6.27±2.94)2种类型。与多音节鸣声的主频(2213.32±106.95 Hz)、音节时长(14.83±1.27 ms)和音节间隔(60.66±8.56 ms)相比,单音节鸣声的主频(2289.87±120.14 Hz)、音节时长(16.93±1.68 ms)和音节间隔(610.99±178.48ms)显著升高(P0.05),而2种鸣声的基频(单音节鸣声:212.51±21.63 Hz;多音节鸣声:225.39±26.80 Hz)无显著差异(P0.05)。红蹼树蛙每晚19:00至次日03:00具有鸣叫行为,22:00为高峰期。结果表明:红蹼树蛙主要通过改变鸣声的主频、音节时长、音节间隔以及音节数提高声音通讯效率。红蹼树蛙的鸣叫行为具有昼夜节律,且在一定程度上受温度和湿度的影响。     

经甫树蛙的染色体组型、C带和Ag-NORs的研究

本文分别用骨髓细胞染色体标本制作法、BSG技术和一种快速、简便的Ag-NORs显带技术,首次研究了经甫树蛙的染色体组型、C带和Ag-NORs。结果表明,经甫树蛙2n=26,有5对大型和8对小型染色体,次缢痕在No.11染色体长臂末端,为C带负染;银染表明,此次缢痕处即是经甫树蛙的“标准NORs”经甫树娃的C带结构异染色质主要是着丝点型和插入型的。文章初步讨论了树蛙属的细胞分类、经甫树蛙次缢痕、Ag-NORs和C带的关系。     

瓦屋山国家森林公园锄足蟾科6种的繁殖鸣声特性

在地处四川省洪雅县的瓦屋山国家森林公园录取了锄足蟾科 6种的繁殖期求偶鸣叫声。它们分隶 4属 ,即角蟾属 (Megophrys)、齿蟾属 (Oreolalax)、齿突蟾属 (Scutiger)和掌突蟾属 (Leptolalax)。在IBMPC上用“SIGNAL”软件 (EngineeringDesign ,USA)对获取的鸣声资料进行分析 ,分析的频率范围设置为 0～ 10kHz。声学分析结果表明 :峨山掌突蟾 (L oshanensi) ,小角蟾 (M minorr) ,角蟾 1种 (M sp) ,金顶齿突蟾[S (S )chintingensis],峨眉齿蟾 (O omeimontis)和无蹼齿蟾 (O schmidti)的主能峰频率平均值分别是45 2 1 9、 34 5 6 4、 2 2 93 8、 10 76 5、 10 71 0和 1849 4Hz ,每声持续时间的平均值分别是 46 2、 90 8、 99 6、72 2、 78 8和 110 3ms ,声距的平均值分别是 140 4、 2 5 3 0、 6 81 4、 15 17 7、 46 1 3和 6 19 5ms。单因子方差分析结果表明主能峰频率、每声持续时间和各声距在 6个种间差异极显著 (P <0 0 1)。LSD法多重比较的结果指出金顶齿突蟾和峨眉齿蟾间的主能峰频率无显著差异 (P =0 917>0 0 5 ) ;在每声持续时间上 ,只有峨山掌突蟾与小角蟾、角蟾 1种、峨眉齿蟾、无蹼齿蟾间差异极显著 (P <0 0 1) ;在声距上 ,峨山掌突蟾与小角蟾间无显著差异 ,角蟾 1种与无蹼齿蟾之间、峨     

快速构建蛋白质结构域克隆库的方法

对蛋白质组学的研究有许多不同的切入方法 .从研究的生物学意义和可行性考虑 ,提出从蛋白结构域入手进行蛋白质组学研究 .SH2 (Srchomology 2 )结构域是细胞信号转导中重要的元件之一 ,人SH2结构域共有约 12 0种 ,对其进行研究将深刻揭示细胞信号转导的规律 .为了得到人所有的SH2结构域序列及克隆 ,首先在公共数据库里检索出了人所有的SH2结构域序列 ,利用国际上现有的共享资源IMAGE(IntegratedMolecularAnalysisofGenomesandTheirExpression)克隆为PCR模板 ,解决了从cDNA文库中难以克隆低丰度结构域的问题 .利用有方向性的TOPO克隆技术提高克隆效率 ,从而快速高效地构建了包括 6 0个SH2结构域的克隆库 .克隆库可以方便地转换到GATEWAY系统具有各种用途的载体上 ,为SH2结构域的蛋白质组学研究奠定了坚实的基础     

植物TIR-NB-LRR类型抗病基因各结构域的研究进展

植物抗病反应是一个多基因调控的复杂过程,在这个过程中R基因发挥了非常重要的作用。根据其氨基酸基序组成以及跨膜结构域的不同,R基因可以分为多种类型,其中NBS-LRR类型是植物基因组中最大的基因家族之一。TIR-NB-LRR类型的抗病基因又是NB-LRR类型中的一大类,也是目前抗病基因研究的热点。该文总结了TIR-NB-LRR类型抗病基因各个结构域的功能和相关的研究进展。相关研究表明,TIR结构域主要通过自身或异源的二聚体化介导抗性信号的转导,但也有部分研究表明,该结构域可能参与病原菌的特异性识别。NBS结构域常被认为具有"分子开关"的功能,它可以通过结合ADP或ATP来调节植物抗病蛋白的构象变化,从而调节下游抗病信号的传导。LRR结构域在植物与病原菌互作的过程中可以通过与病原菌的无毒蛋白直接或间接互作来特异识别病原菌。也有研究发现,LRR结构域具有调节信号传导的功能。这些信息将为研究植物抗病机理提供理论依据,也为将来通过基因编辑技术对作物进行定向抗病育种提供思路。     

Regulators of G protein signaling: a bestiary of modular protein binding domains

Members of the newly discovered regulator of G protein signaling (RGS) families of proteins have a common RGS domain. This RGS domain is necessary for conferring upon RGS proteins the capacity to regulate negatively a variety of Galpha protein subunits. However, RGS proteins are more than simply negative regulators of signaling. RGS proteins can function as effector antagonists, and recent evidence suggests that RGS proteins can have positive effects on signaling as well. Many RGS proteins possess additional C- and N-terminal modular protein-binding domains and motifs. The presence of these additional modules within the RGS proteins provides for multiple novel regulatory interactions performed by these molecules. These regions are involved in conferring regulatory selectivity to specific Galpha-coupled signaling pathways, enhancing the efficacy of the RGS domain, and the translocation or targeting of RGS proteins to intracellular membranes. In other instances, these domains are involved in cross-talk between different Galpha-coupled signaling pathways and, in some cases, likely serve to integrate small GTPases with these G protein signaling pathways. This review discusses these C- and N-terminal domains and their roles in the biology of the brain-enriched RGS proteins. Methods that can be used to investigate the function of these domains are also discussed.     

Caveolin-1 activates Rab5 and enhances endocytosis through direct interaction

Caveolin-1, a constitutive protein of the caveolae, is implicated in processes of vesicular transport during caveolae-mediated endocytosis. However, the molecular mechanisms of caveolae-mediated endocytosis are not yet clearly defined. Here, we show the physiological role of the Rab5-caveolin-1 interaction during caveolae-mediated endocytosis. Rab5 was found in caveolae-enriched fractions and Rab5 directly bound to caveolin-1. Furthermore, binding sites of Rab5 to caveolin-1 were identified in the scaffold (SD), transmembrane (TM), and C-terminus (CC) domains, and the Rab5 binding domain of caveolin-1 was required for CTXB uptake. Subsequently, we performed a GST-R5BD pull-down assay to determine whether the Rab5 binding domain of caveolin-1 is involved in Rab5 activity or not. The results showed that overexpression of the Rab5 binding domain of caveolin-1 increase the amount of Rab5-GTP in Cos-1 cells. These findings imply that caveolin-1 controls the Rab5 activity during the caveolae-mediated endocytosis.     

Delineation of modular proteins: domain boundary prediction from sequence information

The delineation of domain boundaries of a given sequence in the absence of known 3D structures or detectable sequence homology to known domains benefits many areas in protein science, such as protein engineering, protein 3D structure determination and protein structure prediction. With the exponential growth of newly determined sequences, our ability to predict domain boundaries rapidly and accurately from sequence information alone is both essential and critical from the viewpoint of gene function annotation. Anyone attempting to predict domain boundaries for a single protein sequence is invariably confronted with a plethora of databases that contain boundary information available from the internet and a variety of methods for domain boundary prediction. How are these derived and how well do they work? What definition of 'domain' do they use? We will first clarify the different definitions of protein domains, and then describe the available public databases with domain boundary information. Finally, we will review existing domain boundary prediction methods and discuss their strengths and weaknesses.     

Biophysical characterization of the domain association between cytosolic A and B domains of the mannitol transporter enzymes IIMtl in the presence and absence of a connecting linker

The mannitol transporter enzyme II^Mtl of the bacterial phosphotransferase system is a multi‐domain protein that catalyzes mannitol uptake and phosphorylation. Here we investigated the domain association between cytosolic A and B domains of enzyme II^Mtl, which are natively connected in Escherichia coli, but separated in Thermoanaerobacter tengcongensis. NMR backbone assignment and residual dipolar couplings indicated that backbone folds were well conserved between the homologous domains. The equilibrium binding of separately expressed domains, however, exhibited ～28‐fold higher affinity compared to the natively linked ones. Phosphorylation of the active site loop significantly contributed to the binding by reducing conformational dynamics at the binding interface, and a few key mutations at the interface were critical to further stabilize the complex by hydrogen bonding and hydrophobic interactions. The affinity increase implicated that domain associations in cell could be maintained at an optimal level regardless of the linker.     

The relationship between domain duplication and recombination

Protein domains represent the basic evolutionary units that form proteins. Domain duplication and shuffling by recombination are probably the most important forces driving protein evolution and hence the complexity of the proteome. While the duplication of whole genes as well as domain-encoding exons increases the abundance of domains in the proteome, domain shuffling increases versatility, i.e. the number of distinct contexts in which a domain can occur. Here, we describe a comprehensive, genome-wide analysis of the relationship between these two processes. We observe a strong and robust correlation between domain versatility and abundance: domains that occur more often also have many different combination partners. This supports the view that domain recombination occurs in a random way. However, we do not observe all the different combinations that are expected from a simple random recombination scenario, and this is due to frequent duplication of specific domain combinations. When we simulate the evolution of the protein repertoire considering stochastic recombination of domains followed by extensive duplication of the combinations, we approximate the observed data well. Our analyses are consistent with a stochastic process that governs domain recombination and thus protein divergence with respect to domains within a polypeptide chain. At the same time, they support a scenario in which domain combinations are formed only once during the evolution of the protein repertoire, and are then duplicated to various extents. The extent of duplication of different combinations varies widely and, in nature, will depend on selection for the domain combination based on its function. Some of the pair-wise domain combinations that are highly duplicated also recur frequently with other partner domains, and thus represent evolutionary units larger than single protein domains, which we term "supra-domains".     

The dimeric form of the unphosphorylated response regulator BaeR

Bacterial response regulators (RRs) can regulate the expression of genes that confer antibiotic resistance; they contain a receiver and an effector domain and their ability to bind DNA is based on the dimerization state. This is triggered by phosphorylation of the receiver domain by a kinase. However, even in the absence of phosphorylation RRs can exist in equilibrium between monomers and dimers with phosphorylation shifting the equilibrium toward the dimer form. We have determined the crystal structure of the unphosphorylated dimeric BaeR from Escherichia coli. The dimer interface is formed by a domain swap at the receiver domain. In comparison with the unphosphorylated dimeric PhoP from Mycobacterium tuberculosis, BaeR displays an asymmetry of the effector domains.     

乙型肝炎病毒聚合酶蛋白多态性的生物信息学分析及其意义

目的 通过Bio-HBV生物数据库,针对乙型肝炎病毒(HBV)聚合酶蛋白序列进行多态性分析。方法 构建Bio- HBV生物数据库,获得国际基因序列库中所有完整的聚合酶蛋白并进行比对,采用信息熵评价序列位点的保守性,结合BLOSUM 90评分系统和PAML方法,寻找选择压力下的理化性质异常的氨基酸替换模式。结果 rt266-271内频发理化性质异常的氨基酸替换,并且具有高度的统计学意义。此外,还用生物信息学的方法分析了聚合酶蛋白的TP、RT和RH功能域的保守性。结论 用生物信息学验证了功能域内已知生物学特性位点的保守性,还从结构生物学出发,推测潜在的功能位点及其意义。     

The evolutionary relationship of the domain architectures in the RhoGEF-containing proteins

Domain insertions and deletions lead to variations in the domain architectures of the proteins from their common ancestor. In this work, we investigated four groups of the RhoGEF-containing proteins from different organisms with domain architectures RhoGEF-PH-SH3, SH3-RhoGEF-PH, RhoGEF-PH, and SH3-RhoGEF defined in the Pfam database. The phylogenetic trees were constructed using each individual domain and/or the combinations of all the domains. The phylogenetic analysis suggests that RhoGEF-PH-SH3 and SH3-RhoGEF-PH might have evolved from RhoGEF-PH through the insertion of SH3 independently, while SH3- RhoGEF of proteins in fruit fly might have evolved from SH3-RhoGEF-PH by the degeneration of PH domain.