黑尾地鸦线粒体基因组序列测定与分析

采用长PCR扩增的线粒体DNA和引物步移法, 测定并注释了中国特有鸟类-黑尾地鸦(Podoces hendersoni)的线粒体基因组全序列。黑尾地鸦的mtDNA序列全长16 867 bp, GenBank登录号GU592504。基因含量和排列次序与原鸡的一致, 包含13个蛋白编码基因、22个tRNA、2个rRNA和1个控制区(D-loop)。除COI基因以GTG作为起始密码子外, 其余12个蛋白质编码基因均以典型ATG密码子起始。11个蛋白编码基因以完全终止密码子TAA、AGG或AGA终止, COIII和ND4基因终止密码子为不完整的T。tRNA^Ser(AGY)的DHU臂缺失, tRNA^Leu(CUN)的反密码子环由9个碱基构成, 而不是标准的7个碱基。其余的20个tRNA基因的二级结构均属典型的三叶草结构。预测了rRNA的二级结构, 其中, 12S rRNA二级结构包含4个结构域, 43个茎环结构; 16S rRNA的二级结构包含6个结构域, 55个茎环结构。此外, 在其他鸟类控制区中所发现的F-box、D-box、C-box、B-box、Bird similarity-box和CSB1-box也同样存在于黑尾地鸦中。     

棕头鸥线粒体基因组全序列测定与分析

基于长距PCR扩增及保守引物步移法测定并注释了棕头鸥(Larus brunnicephalus)的线粒体基因组全序列。结果表明,棕头鸥线粒体基因组全长16 769 bp,GenBank登录号JX155863。基因含量和排列次序与红原鸡一致,包含13个蛋白编码基因、22个tRNA、2个rRNA和一个D-loop区(控制区)。除COI基因以GTG、ND3基因以ATT为起始密码子外,其余11个蛋白质编码基因均以ATG起始。11个蛋白质编码基因以典型的完全终止密码子AGG、TAG、TAA或AGA终止,COIII和ND4基因为不完全终止密码子T。预测了22个tRNA基因的二级结构,发现tRNASer(AGN)缺少DHU臂,tRNAPhe的TψC臂出现第4种排列形式。预测的棕头鸥12S和16S rRNA二级结构分别包括4个结构域47个茎环和6个结构域60个茎环。其他鸟类控制区发现的F-box、E-box、D-box、C-box、B-box、Bird similarity-box和CSB-boxes(1-3)也存在于棕头鸥中,预测了控制区H链复制起始序列OH和双向复制起始序列LSP/HSP。系统发育分析支持将棕头鸥划归为面具鸥族(Masked gulls)。     

麦穗鱼线粒体基因组序列测定及分析

利用麦穗鱼Pseudorasbora parva和相关鱼类的部分线粒体基因序列,设计出2对长批引物和30对短批引物,采用基于长PCR的2次PCR扩增法测定并注释麦穗鱼线粒体基因组全序列。结果表明,麦穗鱼线粒体基因组长16600bp,A+T含量为58.9%,37个基因位置及组成与其它硬骨鱼一致,均由13个蛋白编码基因、22个tRNA、2个rRNA基因和1个控制区(D-loop)组成。其中L链仅含8个tRNA(Pro、T yr、Ser、Ala、Asn、Cys、Glu、Gln)及ND6基因,其余基因皆由H链编码。基因排列紧密,间隔序列共计13处64bp,长度从1～32bp不等;基因重叠区7处23bp,重叠碱基数在1～7bp之间。13个蛋白编码基因中,除COI起始密码子为GTG外,其余均以ATG为起始密码子;有8个基因(ND1、ND2、COI、ATP6、ATP8、ND4L、ND5、ND6)3’端有完全的TAA或TAG终止密码子,其它5个基因终止密码子为不完整的TA(ND3和ND4)或T(COⅡ,COⅢ,Cyt b)。除tRNASer(AGY)外,其余21个tRNA基因的二级结构均为典型的三叶草结构。预测的lrRNA二级结构共有6个结构域,53个茎环结构,srRNA二级结构包含43个茎环结构。控制区(D-loop)存在3个结构区:终止序列区(TAS)、中央保守区(CSB-F、CSB-D)和保守序列区(CSB-1、CSB-2、CSB-3),其中TAS与DNA复制终止相关,出现茎环结构。     

SEQUENCE AND ANALYSIS OF COMPLETE MITOCHONDRIAL GENOME OF PSEUDORASBORA PARVA

利用麦穗鱼Pseudorasbora parva和相关鱼类的部分线粒体基因序列,设计出2对长批引物和30对短批引物,采用基于长PCR的2次PCR扩增法测定并注释麦穗鱼线粒体基因组全序列.结果表明,麦穗鱼线粒体基因组长16600 bp,A+T含量为58.9％,37个基因位置及组成与其它硬骨鱼一致,均由13个蛋白编码基因、22个tRNA、2个rRNA基因和1个控制区(D-loop)组成.其中L链仅含8个tRNA(Pro、Tyr、Ser、Ala、Asn、Cys、Glu、Gln)及ND6基因,其余基因皆由H链编码.基因排列紧密,间隔序列共计13处64 bp,长度从1～32 bp不等;基因重叠区7处23 bp,重叠碱基数在1～7bp之间.13个蛋白编码基因中,除COI起始密码子为GTG外,其余均以ATG为起始密码子;有8个基因(ND1、ND2、COI、ATP6、ATP8、ND4L、ND5、ND6)3端有完全的TAA或TAG终止密码子,其它5个基因终止密码子为不完整的TA (ND3和ND4)或T(COⅡ,COⅢ,Cyt b).除tRNAser(AGY)外,其余21个tRNA基因的二级结构均为典型的三叶草结构.预测的lrRNA二级结构共有6个结构域,53个茎环结构,srRNA二级结构包含43个茎环结构.控制区(D-loop)存在3个结构区:终止序列区(TAS)、中央保守区( CSB-F、CSB-D)和保守序列区(CSB-1、CSB-2、CSB-3),其中TAS与DNA复制终止相关,出现茎环结构.     

小长蝽线粒体基因组全序列测定与长蝽总科系统发育分析

为了解小长蝽Nysius ericae(Schilling)线粒体基因组结构及长蝽总科的分子系统发育关系。本试验采用Illumina MiSeq测序平台对小长蝽线粒体基因进行测序,对基因组序列进行拼装、注释和特征分析,利用最大似然法和贝叶斯法构建基于12种长蝽总科昆虫线粒体全基因组核苷酸序列的系统发育树。小长蝽线粒体基因组全长为16 330 bp(GenBank登录号：MW465654),基因组包括13个蛋白编码基因(PCGs),22个tRNA基因,2个rRNA基因和1段非编码控制区。11个蛋白质编码基因的起始密码子为典型的ATN;cox1,nad4l的起始密码子为TTG。cob的终止密码子为TAG,其余蛋白编码基因的终止密码子为TAA。只有trnS1缺少DHU臂,其余tRNA基因均能形成典型的三叶草结构。12种长蝽总科昆虫线粒体全基因组序列构建的昆虫系统发育树结果显示,小长蝽与Nysius plebeius具有更近的亲缘关系,且与传统形态学分类基本一致。小长蝽线粒体基因组符合长蝽总科线粒体基因组的一般特征。结果表明小长蝽与N.plebeius的亲缘关系更近。     

黑条小车蝗线粒体基因组特征及其系统发育分析

为解析黑条小车蝗（Oedaleus decorus decorus）线粒体基因组特征及其在小车蝗属的系统发育地位,本研究利用长距离PCR技术和引物步移法测序对黑条小车蝗线粒体全基因组进行扩增和组装。结果表明,黑条小车蝗线粒体基因为典型双链环状DNA,全长15 914 bp,A+T含量为75.07%,包含13个蛋白编码基因、22个t RNA编码基因、2个rRNA编码基因和1个位于小核糖体RNA(small rRNA, srRNA)和tRNAIle之间的非编码控制区（D-loop区）。黑条小车蝗线粒体基因组中编码基因的数量及位置排序与小车蝗属其他近源种一致。黑条小车蝗线粒体13个蛋白编码基因的起始密码子均为ATN模式,除ND5使用不完整的T为终止密码子外,其他基因均使用完整的TAA作为终止密码子。22个tRNA编码基因中,21个能形成三叶草结构,只有tRNASer缺少DHU环。预测大核糖体RNA(large rRNA, lrRNA)二级结构共有6个结构域（结构域Ⅲ缺失）和47个茎环结构,预测srRNA二级结构包含3个结构域和31个茎环结构。基因间隔序列共计16处94 bp,间隔序列1～21...     

一种石磺科贝类线粒体基因组全序列分析

石磺线粒体基因组全序列对研究石磺科分子系统进化具有重要意义。利用LA-PCR技术对一种石磺Platevin-dexmortoni线粒体基因组全序列进行了测定和分析。结果表明,线粒体基因组序列全长13 991 bp,碱基组成分别为27.27%A、16.78%C、20.23%G、35.72%T;由22个tRNA、2个rRNA、13个蛋白编码基因和25个长度为2-118 bp的非编码区组成。4个蛋白质编码基因和5个tRNA基因从L链编码,其余基因均从H链编码。蛋白质基因的起始密码子,除ND2为GTG以外,均为典型的起始密码子ATN。ND2和Cytb基因使用了不完全终止密码子T,其余基因均使用典型的TAA或TAG。预测了22个tRNA基因的二级结构,发现tRNASer和TrnaAsn缺少DHU臂,tRNASer和tRNAThr的反密码子环上有9个碱基,而不是通常的7个碱基。最长的非编码区含有两个类似于的tRNAGln和tRNAPhy的二级结构。     

绿翅短脚鹎线粒体基因组测序分析

本文对绿翅短脚鹎Ixos mcclellandii线粒体基因组进行了测序分析。结果显示,绿翅短脚鹎线粒体基因组序列全长17 838 bp(Gen Bank登录号:KX640824),具有2个开放阅读框重叠区,即ATP6～ATP8(10 bp)和ND4L～ND4(7 bp),还有一些重叠发生在蛋白质基因和其相邻的tRNA基因之间。除COXⅠ、ND3的起始密码子分别为GTG、ATA外,其余11个蛋白质基因的起始密码子均为ATG。9个蛋白质基因以TAA、AGA或AGG为终止密码子,其余则以T(COXⅢ和ND4)或TA(ND2和ND4L)为终止密码子。蛋白质基因使用频率最高的密码子是CUA(217次)和ACC(205次),而GGU和GCG的使用频率最低,均为24次。tRNA基因分布在rRNA基因和蛋白质基因之间,长度为64～75 bp。通过分析已报道的雀形目Passeriformes鸟类线粒体控制区结构,发现了3种不同类型的控制区结构:1)仅存在1个控制区; 2)有2个长度相近且序列高度相似的控制区; 3)有2个高度异质的控制区。绿翅短脚鹎线粒体基因组含有2个高度相似的控制区(相似度91. 6%),长度分别为1 116 bp和1 144 bp,二者仅在控制区开始和末端部位的序列有所不同。     

地山雀线粒体基因组全序列的测定和分析

基于长距PCR扩增及保守引物步移法测定并注释了地山雀(Pseudopodoces humilis)的线粒体基因组全序列.结果表明,地山雀线粒体基因组全长1.6 809万bp,A+T含量为52.9%,37个基因排列顺序与红原鸡一致.蛋白质基因的起始密码子中,除COI基因为GTG外,其余均为ATG.NDⅠ和ND5基因终止密码子为AGA:COⅡ基凶为AGG:COⅢ和ND4基因为不完全终止密码子T;其余基因均为典型的TAA或TAG.预测了22个tRNA基闪的二级结构,发现tRNAScr(AGN)缺少DHU臂,tRNAPhe的TψC臂存在一单核苷酸插入.预测的地山雀12S和16S rRNA二级结构分别包括3个结构域47个茎环和6个结构域60个茎环. 控制区位于tRNAGlu和tRNAPhe之间,长度1240 bp.控制区结构为高变Ⅰ区、中央保守Ⅱ区和保守序列Ⅲ区3个结构域.     

云斑车蝗线粒体基因组全序列测定与分析

采用长距 PCR 扩增及保守引物步移法并结合克隆测序测定并注释了云斑车蝗 Gastrimargus marmoratus （Thunberg）的线粒体基因组全序列。结果表明：云斑车蝗线粒体基因组全序列为15 904 bp（GenBank登录号为EU527334）,A+T含量略高于非洲飞蝗Locusta migratoria,为76.04%,包括13个蛋白质编码基因,22个tRNA 基因,2个rRNA基因和一段1 057 bp的A+T富集区。蛋白质基因的起始密码子中,除COⅠ和ND5为TTG以外,均为昆虫典型的起始密码子ATN。ND5基因使用了不完全终止密码子T,其余基因均为典型的TAA或TAG。预测了22个tRNA基因的二级结构,发现tRNA^Ser（AGN）缺少DHU臂, tRNA^Ser（UGY）的反密码子环上有9个碱基。预测了云斑车蝗12S和16S rRNA二级结构,分别包括3个结构域30个茎环和6个结构域44个茎环。A+T富集区含有3个串联重复序列。     

p53蛋白质C端的三维结构及生物功能区

利用p53 C端118个氨基酸的mRNA二级结构和Chou-Fasman蛋白质二级结构预测原则,预测p53蛋白质C端289～325为卷曲肽段,368～393段包括两段螺旋结构: α₁ 368～373, α₂ 381～388.其中三段已知的蛋白质二级结构与此mRNA二级结构单元间有准确的对应关系.与四种以多重序列联配为基础的蛋白质二级结构预测方法（准确率均为73.20%左右）相对照,预测结果基本一致.结合单体聚合区31个氨基酸晶体结构,在SGI INDIGO²工作站上构建了p53 C端108个残基的三维结构.进一步揭示了p53 C端诸多生物功能区之间的空间构象关系.     

神经网络在蛋白质二级结构预测中的应用

介绍了蛋白质二级结构预测的研究意义,讨论了用在蛋白质二级结构预测方面的神经网络设计问题,并且较详尽地评述了近些年来用神经网络方法在蛋白质二级结构预测中的主要工作进展情况,展望了蛋白质结构预测的前景。     

A critique of the utility of the prediction of protein secondary structure

The Chou-Fasman predictive algorithm for determining the secondary structure of proteins from the primary sequence is reviewed. Many examples of its use are presented which illustrate its wide applicability, such as predicting (a) regions with the potential for conformational change, (b) sequences which are capable of assuming several conformations in different environments, (c) effects of single amino acid mutations, (d) amino acid replacements in synthesis of peptides to bring about a change in conformation, (e) guide to the synthesis of polypeptides with definitive secondary structure,e.g. signal sequences, (f) conformational homologues from varying sequences and (g) the amino acid requirements for amphiphilicα-helical peptides.     

The effect of a terminal chiral residue on the helicity of a peptide chain

Summary We studied the effect of incorporating a chiral terminal amino acid residue (L-leucine) on the helical screw sense of a previously characterized achiral helical polypeptide module-[glycine-(C^α,α-di-n-butylglycine)-glycine]₂-by means of CD spectroscopy and conclude that the presence of this residue at the carboxyl terminal induces a predominantly left handed helical conformation of the helix.     

The effect of a terminal chiral residue on the helicity of a peptide chain

We studied the effect of incorporating a chiral terminal amino acid residue (L-leucine) on the helical screw sense of a previously characterized achiral helical polypeptide module -[glycine-(C,-di-n-butylglycine)-glycine]₂-by means of CD spectroscopy and conclude that the presence of this residue at the carboxyl terminal induces a predominantly left handed helical conformation of the helix.     

Stability of single-nucleotide bulge loops embedded in a GAAA RNA hairpin stem

Forty-six RNA hairpins containing combinations of 3' or 5' bulge loops and a 3' or 5' fluorescein label were optically melted in 1 M NaCl, and the thermodynamic parameters ΔH°, ΔS°, ΔG°(37), and T(M) for each hairpin were determined. The bulge loops were of the group I variety, in which the identity of the bulge is known, and the group II variety, in which the bulged nucleotide is identical to one of its nearest neighbors, leading to ambiguity as to the exact position of the bulge. The fluorescein label at either the 3' end or 5' end of the hairpin did not significantly influence the stability of the hairpin. As observed with bulge loops inserted into a duplex motif, the insertion of a bulge loop into the stem of a hairpin loop was destabilizing. The model developed to predict the influence of bulge loops on the stability of duplex formation was extended to predict the influence of bulge loops on hairpin stability. Specifically, the influence of the bulge is related to the stability of the hairpin stem distal from the hairpin loop.     

Probability-based protein secondary structure identification using combined NMR chemical-shift data

For a long time, NMR chemical shifts have been used to identify protein secondary structures. Currently, this is accomplished through comparing the observed (1)H(alpha), (13)C(alpha), (13)C(beta), or (13)C' chemical shifts with the random coil values. Here, we present a new protocol, which is based on the joint probability of each of the three secondary structural types (beta-strand, alpha-helix, and random coil) derived from chemical-shift data, to identify the secondary structure. In combination with empirical smooth filters/functions, this protocol shows significant improvements in the accuracy and the confidence of identification. Updated chemical-shift statistics are reported, on the basis of which the reliability of using chemical shift to identify protein secondary structure is evaluated for each nucleus. The reliability varies greatly among the 20 amino acids, but, on average, is in the order of: (13)C(alpha)>(13)C'>(1)H(alpha)>(13)C(beta)>(15)N>(1)H(N) to distinguish an alpha-helix from a random coil; and (1)H(alpha)>(13)C(beta) >(1)H(N) approximately (13)C(alpha) approximately (13)C' approximately (15)N for a beta-strand from a random coil. Amide (15)N and (1)H(N) chemical shifts, which are generally excluded from the application, in fact, were found to be helpful in distinguishing a beta-strand from a random coil. In addition, the chemical-shift statistical data are compared with those reported previously, and the results are discussed. A JAVA User Interface program has been developed to make the entire procedure fully automated and is available via http://ccsr3150-p3.stanford.edu.     

Prediction of protein secondary structure content for the twilight zone sequences

Secondary protein structure carries information about local structural arrangements, which include three major conformations: alpha-helices, beta-strands, and coils. Significant majority of successful methods for prediction of the secondary structure is based on multiple sequence alignment. However, multiple alignment fails to provide accurate results when a sequence comes from the twilight zone, that is, it is characterized by low (<30%) homology. To this end, we propose a novel method for prediction of secondary structure content through comprehensive sequence representation, called PSSC-core. The method uses a multiple linear regression model and introduces a comprehensive feature-based sequence representation to predict amount of helices and strands for sequences from the twilight zone. The PSSC-core method was tested and compared with two other state-of-the-art prediction methods on a set of 2187 twilight zone sequences. The results indicate that our method provides better predictions for both helix and strand content. The PSSC-core is shown to provide statistically significantly better results when compared with the competing methods, reducing the prediction error by 5-7% for helix and 7-9% for strand content predictions. The proposed feature-based sequence representation uses a comprehensive set of physicochemical properties that are custom-designed for each of the helix and strand content predictions. It includes composition and composition moment vectors, frequency of tetra-peptides associated with helical and strand conformations, various property-based groups like exchange groups, chemical groups of the side chains and hydrophobic group, auto-correlations based on hydrophobicity, side-chain masses, hydropathy, and conformational patterns for beta-sheets. The PSSC-core method provides an alternative for predicting the secondary structure content that can be used to validate and constrain results of other structure prediction methods. At the same time, it also provides useful insight into design of successful protein sequence representations that can be used in developing new methods related to prediction of different aspects of the secondary protein structure.     

Evaluation of current techniques for Ab initio protein structure prediction

The results of a protein structure prediction contest are reviewed. Twelve different groups entered predictions on 14 proteins of known sequence whose structures had been determined but not yet disseminated to the scientific community. Thus, these represent true tests of the current state of structure prediction methodologies. From this work, it is clear that accurate tertiary structure prediction is not yet possible. However, protein fold and motif prediction are possible when the motif is recognizably similar to another known structure. Internal symmetry and the information inherent in an aligned family of homologous sequences facilitate predictive efforts. Novel folds remain a major challenge for prediction efforts. © 1995 Wiley-Liss, Inc.     

Non-nearest-neighbor dependence of stability for group III RNA single nucleotide bulge loops

Thirty-five RNA duplexes containing single nucleotide bulge loops were optically melted and the thermodynamic parameters for each duplex determined. The bulge loops were of the group III variety, where the bulged nucleotide is either a AG/U or CU/G, leading to ambiguity to the exact position and identity of the bulge. All possible group III bulge loops with Watson–Crick nearest-neighbors were examined. The data were used to develop a model to predict the free energy of an RNA duplex containing a group III single nucleotide bulge loop. The destabilization of the duplex by the group III bulge could be modeled so that the bulge nucleotide leads to the formation of the Watson–Crick base pair rather than the wobble base pair. The destabilization of an RNA duplex caused by the insertion of a group III bulge is primarily dependent upon non-nearest-neighbor interactions and was shown to be dependent upon the stability of second least stable stem of the duplex. In-line structure probing of group III bulge loops embedded in a hairpin indicated that the bulged nucleotide is the one positioned further from the hairpin loop irrespective of whether the resulting stem formed a Watson–Crick or wobble base pair. Fourteen RNA hairpins containing group III bulge loops, either 3′ or 5′ of the hairpin loop, were optically melted and the thermodynamic parameters determined. The model developed to predict the influence of group III bulge loops on the stability of duplex formation was extended to predict the influence of bulge loops on hairpin stability.