古蛋白质分析在东亚古人类演化中的应用前景

东亚古人类演化是学术界关注的热点科学问题,国内外学者对此进行了多学科的相关研究,取得了很多重要进展,但仍然存在许多尚未解决的问题。古蛋白质分析近年来成为古生物演化领域的又一个前沿和热点方向,取得了一系列重要突破。较之古DNA,古蛋白质的保存优势使其可以在时间上和地域上突破古DNA的限制,在古人类演化领域大有可为。东亚古人类化石丰富且时段大致连续,但更新世或更早时期的分子证据非常缺乏。本文从古蛋白质分析的发展史、研究潜力、难点与挑战以及思考与展望等几方面,对古蛋白质分析在东亚古人类演化研究中的应用前景进行梳理与思考。相信随着更多分子证据的积累,古蛋白质分析可为东亚古人类的演化脉络提供更多关键性的线索,极大地促进人类演化研究。     

宏蛋白质组学信息分析的基本策略及其挑战

宏蛋白质组学是一门新型科学,它运用质谱技术规模化地采集自然界微生物种群的蛋白质信息,并结合多种组学数据,开展微生物种群的遗传特征及其生物功能的研究.宏蛋白质组学的信息分析与传统蛋白质组学方法有较大的不同,亟需拓展新的分析思路.由于宏蛋白质组的研究对象是复杂度极高的微生物样品,因此,需要构建尽可能囊括样本中所含微生物的基因组信息的物种数据库.面对庞大的数据库,必须考虑到分析过程中所消耗的计算资源和鉴定结果的质控标准,因此,需要高度优化库容量、搜库、假阳性控制等参数.鉴于宏蛋白质组数据中广泛存在复杂的同源蛋白质序列,因此,需要充分利用NCBI数据库中的分类信息进行匹配,并运用LCA算法过滤处理才能将蛋白质有效地归组到物种.本文立足于宏蛋白质组学信息分析,从宏蛋白质组的数据库建立、蛋白质归并、生物学意义发掘等几个方面着手,对该领域的发展现状、面临挑战以及未来研究方向进行了评述.     

利用古蛋白技术分析巨猿演化地位的评述

巨猿是中国南方更新世特有的大型猿类,因其巨大的牙齿和颌骨被认为是迄今生活在地球上体型最大的猿类。迄今为止,年代学和生物地层学证据显示巨猿的生存年代2~0.3 MaBP。由于中新世晚期—上新世时期化石记录的缺失,有关巨猿的起源和演化一直存在诸多争论。2019年,《自然》杂志报道广西吹风洞早更新世早期(1.9 MaBP)巨猿牙齿化石的古蛋白质研究^[1]。结果显示,巨猿牙齿牙釉质中保存了较为丰富的古代蛋白质,这些古蛋白质由409个特有的肽组成,分属6个内源性蛋白。对这些古老蛋白质的研究表明,巨猿在系统发育上属于猩猩分支系统,大约从10~12 MaBP前分化出来并独立演化。这是在亚热带地区的化石中首次提取如此古老的分子证据,提示古蛋白质研究有望为探索早期物种(包括人类)起源与演化提供重要依据。本文将简要回顾巨猿系统演化研究的历史,并对利用古蛋白技术分析巨猿的演化地位进行评述。     

膜翅目广腰亚目化石及其在缅甸琥珀中的研究现状及展望

白垩纪缅甸琥珀昆虫化石研究是当前古昆虫学研究的热点之一。广腰亚目是膜翅目中的一个重要类群,其研究不仅为探讨膜翅目起源、早期演化、系统发育、不同地质时期古地理、古生态等方面提供重要的科学证据,而且可为陆地生态系统中的生物多样性研究提供重要材料。文中综述缅甸琥珀的研究简史及研究现状,阐述广腰亚目在印痕化石与缅甸琥珀中的特点、分布情况及该亚目在印痕化石与缅甸琥珀间的研究差异,进而探讨膜翅目广腰亚目化石当前研究现状、存在的问题及未来前景,并期望广大研究者增加对缅甸琥珀广腰亚目类群的关注和研究。     

叶绿体蛋白质组研究进展

亚细胞蛋白质组学是近年来蛋白组学研究中的一个热点。通过细胞器的纯化和亚细胞组分的分离,降低了样品的复杂性,增大了相应蛋白质组分的富集,有利于由此分离获得的蛋白质的序列分析及功能鉴定。叶绿体蛋白质组为植物亚细胞蛋白质组学研究中相对全面的一部分,利用亚细胞分离结合双向电泳技术系统地鉴定叶绿体中蛋白质组分是获取叶绿体蛋白质信息、确定其功能的重要技术手段。本文就近年来植物叶绿体蛋白质组涵盖的叶绿体内、外被膜、叶绿体基质、类囊体膜和类囊体腔蛋白的研究进行综述,以全面认识叶绿体蛋白的组成、特点及其在叶绿体生理生化代谢网络中的作用。     

世界各地琥珀中的脊椎动物包裹体

琥珀是一种经过石化作用形成的天然树脂化石,亦是一种有机宝石。琥珀在全球范围分布较广,尤其在欧洲的波罗的海、中美洲的多米尼加-墨西哥、亚洲的缅甸等区域有着大量的发现。全球各地琥珀中,昆虫包裹体最为常见,脊椎动物包裹体数量较少。但相对保存于沉积岩中的传统脊椎动物化石来说,保存于琥珀中的脊椎动物包裹体可以额外提供生物体的软组织、原始死亡状态、生存环境等信息,且可以保存比传统骨骼化石更直观、立体、精细的生物形态学信息,为研究生物演化、恢复古环境、古生态和古行为学等方面提供了重要的依据。文中主要总结了来自全球各琥珀产区迄今为止发现的各种脊椎动物包裹体,包括了非鸟恐龙、鸟类、哺乳类、爬行类、两栖类等,以及它们背后隐藏的演化信息,并对未来的研究方向与趋势做了初步的展望。     

微生物蛋白质组学的定量分析

越来越多的微生物基因组序列数据为系统地研究基因的调节和功能创造了有利条件.由于蛋白质是具有生物功能的分子,蛋白质组学在微生物基因组的功能研究中异军突起、蓬勃发展.微生物蛋白质组学的基本原则是,用比较研究来阐明和理解不同微生物之间或不同生长条件下基因的表达水平.显而易见,定量分析技术是比较蛋白质组学中急需发展的核心技术.对蛋白质组学定量分析技术在微生物蛋白质组研究中的进展进行了综述.     

叶绿体的蛋白质组学研究进展

蛋白质组学是以基因组编码的所有蛋白为研究对象,高通量地从细胞及整体水平上研究蛋白质的组成及其功能的新兴学科。在后基因组时代的今天,蛋白质组学的研究正逐渐深入到生命科学的各个领域,21世纪蛋白质组学将成为生命科学中最热门的学科。蛋白质组分析已成为鉴定植物功能的有力工具之一,叶绿体作为比较重要的细胞器,在植物蛋白质组学中已有较多的研究,,随着双向电泳技术的改进和质谱法的出现,并与不断增多的拟南芥、水稻、玉米等植物的序列数据相结合,叶绿体蛋白质组可以被快速鉴定。本文主要介绍了植物蛋白质组学、叶绿体及其蛋白质组学研究技术和研究进展,并对蛋白质组学的研究趋势进行了展望。     

质谱技术及其在后基因组时代中的应用

蛋白质组学的建立开辟了功能基因组学研究的新领域,为研究蛋白质水平的生命活动展现了更为崭新的思路和广阔的前景.质谱技术能准确测量肽和蛋白质的相对分子质量、氨基酸序列及翻译后修饰,成为连接蛋白质与基因的重要技术.质谱技术联合蛋白质组学多角度、深层次探索生命系统分子本质成为现阶段生命科学研究领域.简要综述了肽和蛋白质等生物大分子质谱分析的原理、方式和应用,并对其发展前景做出展望.     

蛋白质组学研究相关技术及进展

蛋白质组学以蛋白质组为研究对象,应用相关研究技术,从整体水平上来认识蛋白的存在及活动方式。随着人类基因组计划的完成,蛋白质组学的研究也得到了快速发展,与蛋白质组学研究相关的一些技术也日益得到完善和提高。简要综述了近年来蛋白质组学研究中最为重要的样品制备、蛋白质分离、蛋白质鉴定等技术及研究进展。     

Proteomic analysis of a pleistocene mammoth femur reveals more than one hundred ancient bone proteins

We used high-sensitivity, high-resolution tandem mass spectrometry to shotgun sequence ancient protein remains extracted from a 43?000 year old woolly mammoth ( Mammuthus primigenius ) bone preserved in the Siberian permafrost. For the first time, 126 unique protein accessions, mostly low-abundance extracellular matrix and plasma proteins, were confidently identified by solid molecular evidence. Among the best characterized was the carrier protein serum albumin, presenting two single amino acid substitutions compared to extant African ( Loxodonta africana ) and Indian ( Elephas maximus ) elephants. Strong evidence was observed of amino acid modifications due to post-mortem hydrolytic and oxidative damage. A consistent subset of this permafrost bone proteome was also identified in more recent Columbian mammoth ( Mammuthus columbi ) samples from temperate latitudes, extending the potential of the approach described beyond subpolar environments. Mass spectrometry-based ancient protein sequencing offers new perspectives for future molecular phylogenetic inference and physiological studies on samples not amenable to ancient DNA investigation. This approach therefore represents a further step into the ongoing integration of different high-throughput technologies for identification of ancient biomolecules, unleashing the field of paleoproteomics.     

Evolution and function of CAG/polyglutamine repeats in protein-protein interaction networks

Expanded runs of consecutive trinucleotide CAG repeats encoding polyglutamine (polyQ) stretches are observed in the genes of a large number of patients with different genetic diseases such as Huntington's and several Ataxias. Protein aggregation, which is a key feature of most of these diseases, is thought to be triggered by these expanded polyQ sequences in disease-related proteins. However, polyQ tracts are a normal feature of many human proteins, suggesting that they have an important cellular function. To clarify the potential function of polyQ repeats in biological systems, we systematically analyzed available information stored in sequence and protein interaction databases. By integrating genomic, phylogenetic, protein interaction network and functional information, we obtained evidence that polyQ tracts in proteins stabilize protein interactions. This happens most likely through structural changes whereby the polyQ sequence extends a neighboring coiled-coil region to facilitate its interaction with a coiled-coil region in another protein. Alteration of this important biological function due to polyQ expansion results in gain of abnormal interactions, leading to pathological effects like protein aggregation. Our analyses suggest that research on polyQ proteins should shift focus from expanded polyQ proteins into the characterization of the influence of the wild-type polyQ on protein interactions.     

Easily Searched Protein Folding Potentials

In order to calculate the tertiary structure of a protein from its amino acid sequence, the thermodynamic approach requires a potential function of sequence and conformation that has its global minimum at the native conformation for many different proteins. Here we study the behavior of such functions for the simplest model system that still has the essential features of the protein folding problem, namely two-dimensional square lattice chain configurations involving two residue types. First we demonstrate a method for accurately recovering the given contact potential from only a knowledge of which sequences fold to which structures and what the non-native structures are. Second, we show how to derive from the same information more general potential functions having much better positive correlations between potential function value and conformational deviation from the native. These functions consequently permit faster and more reliable searches for the native conformation, given the native sequence. Furthermore, the method for finding such potentials is easily applied to more realistic protein models.     

Are pollen fossils useful for calibrating relaxed molecular clock dating of phylogenies? A comparative study using Myrtaceae

The identification and application of reliable fossil calibrations represents a key component of many molecular studies of evolutionary timescales. In studies of plants, most paleontological calibrations are associated with macrofossils. However, the pollen record can also inform age calibrations if fossils matching extant pollen groups are found. Recent work has shown that pollen of the myrtle family, Myrtaceae, can be classified into a number of morphological groups that are synapomorphic with molecular groups. By assembling a data matrix of pollen morphological characters from extant and fossil Myrtaceae, we were able to measure the fit of 26 pollen fossils to a molecular phylogenetic tree using parsimony optimisation of characters. We identified eight Myrtaceidites fossils as appropriate for calibration based on the most parsimonious placements of these fossils on the tree. These fossils were used to inform age constraints in a Bayesian phylogenetic analysis of a sequence alignment comprising two sequences from the chloroplast genome (matK and ndhF) and one nuclear locus (ITS), sampled from 106 taxa representing 80 genera. Three additional analyses were calibrated by placing pollen fossils using geographic and morphological information (eight calibrations), macrofossils (five calibrations), and macrofossils and pollen fossils in combination (12 calibrations). The addition of new fossil pollen calibrations led to older crown ages than have previously been found for tribes such as Eucalypteae and Myrteae. Estimates of rate variation among lineages were affected by the choice of calibrations, suggesting that the use of multiple calibrations can improve estimates of rate heterogeneity among lineages. This study illustrates the potential of including pollen-based calibrations in molecular studies of divergence times.     

随机森林方法预测膜蛋白类型

膜蛋白的类型与其功能是密切相关的,因此膜蛋白类型的预测是研究其功能的重要手段,从蛋白质的氨基酸序列出发对膜蛋白的类型进行预测有重要意义。文章基于蛋白质的氨基酸序列,将组合离散增量和伪氨基酸组分信息共同作为预测参数,采用随机森林分类器,对8类膜蛋白进行了预测。在Jackknife检验下的预测精度为86.3%,独立检验的预测精度为93.8%,取得了好于前人的预测结果。     

Discriminative motif finding for predicting protein subcellular localization

Many methods have been described to predict the subcellular location of proteins from sequence information. However, most of these methods either rely on global sequence properties or use a set of known protein targeting motifs to predict protein localization. Here, we develop and test a novel method that identifies potential targeting motifs using a discriminative approach based on hidden Markov models (discriminative HMMs). These models search for motifs that are present in a compartment but absent in other, nearby, compartments by utilizing an hierarchical structure that mimics the protein sorting mechanism. We show that both discriminative motif finding and the hierarchical structure improve localization prediction on a benchmark data set of yeast proteins. The motifs identified can be mapped to known targeting motifs and they are more conserved than the average protein sequence. Using our motif-based predictions, we can identify potential annotation errors in public databases for the location of some of the proteins. A software implementation and the data set described in this paper are available from http://murphylab.web.cmu.edu/software/2009_TCBB_motif/.     

Computational sequence analysis revisited: new databases, software tools, and the research opportunities they engender.

The increasing quantity and complexity of sequences and structural data for proteins and nucleic acids create both problems and opportunities for biomedical researchers. Fortunately, a new generation of practical computer tools for data analysis and integrated information retrieval is emerging. Recent developments in fast database searching, multiple sequence alignment, and molecular modeling are discussed and windows-based, mouse-driven software for CD-ROM and network information retrieval are described. Each method is illustrated with a practical example pertinent to lipid research. In particular, the connection among cholesteryl ester transfer protein, bactericidal permeability-increasing protein, and lipopolysaccharide-binding proteins is determined; novel repetitive sequence motifs in mammalian farnesyltransferase subunits and related yeast prenyltransferases are derived; biochemical insights from a three-dimensional model of human apolipoprotein D based on two insect lipocalins are discussed; the relationship between apolipoprotein D and gross cystic disease fluid protein from human breast is reviewed; and prospects for modeling apolipoprotein E-related proteins are described. In addition, information on a number of general and special-purpose sequence, motif, and structural databases is included.