DNA 序列在蕨类分子系统学研究中的应用

在分子系统学研究中, 目的基因或者基因片段的选择是最关键的一步, 由于进化速率的差异, 不同的DNA序列适用于不同分类阶元的系统发育研究。本文综述了目前蕨类分子系统发育研究中常用的DNA序列分析, 它们分别来自叶绿体基因组、核基因组和线粒体基因组, 着重阐明叶绿体基因在蕨类分子系统学研究中的应用。本文还简要介绍了分子系统学研究中常见的问题及解决方法(如内类群和外类群的选择, 适宜DNA片段的选择策略), 总结了目前蕨类植物分子系统学研究所取得的进展和研究现状, 展望了当今国际蕨类分子系统学的研究趋势。     

DNA序列在蕨类分子系统学研究中的应用

在分子系统学研究中,目的基因或者基因片段的选择是最关键的一步,由于进化速率的差异,不同的DNA序列适用于不同分类阶元的系统发育研究.本文综述了目前蕨类分子系统发育研究中常用的DNA序列分析,它们分别来自叶绿体基因组、核基因组和线粒体基因组,着重阐明叶绿体基因在蕨类分子系统学研究中的应用.本文还简要介绍了分子系统学研究中常见的问题及解决方法(如内类群和外类群的选择.适宜DNA片段的选择策略),总结了目前蕨类植物分子系统学研究所取得的进展和研究现状,展望了当今国际蕨类分子系统学的研究趋势.     

关于核糖体DNA序列分析在昆虫系统学中的作用浅析

在昆虫系统学中,传统分类学作为昆虫分类的主要方法,在昆虫形态分类中发挥着重要的作用,但是对于近缘种分类上却没有明确的界限。生物学技术的发展,在昆虫系统学中应用核糖体DNA序列分析的方法,有效的解决了传统分类学的局限性,在昆虫种、属和种群水平的研究中发挥了重要作用。本文对核糖体DNA序列分析的方法进行分析,探讨其在昆虫系统学中的应用。     

核基因在两栖爬行动物分子系统学中的研究进展

从DNA水平探索生物进化的理论、生物类群的演化历史具有重要的意义,应用DNA序列研究生物的系统发育和进化规律成为当前分子系统学研究的热点,与线粒体DNA相比,核基因由于包含有更加丰富的生物学信息,运用核基因序列或将核基因序列与线粒体基因序列相结合研究两栖爬行动物的系统发育,正成为分子系统学领域的新的发展趋势.Rag-1、Rag-2、tyrosinase、rhodopsin、C-mos等核基因已在两栖爬行动物分子系统学中得到了广泛的应用.由于目前的技术手段等诸多因素,限制了更多的核基因用于两栖爬行动物分子系统学研究.为此简要介绍了目前核基因在两栖爬行动物分子系统学方面的研究进展,并分析了核基因序列在分子系统学应用上面临的问题和应用前景.     

分子生物学手段在植物系统与进化研究中的应用

在植物系统与进化研究中,为了揭示真实本质,必须从分子水平进行研究。植物分子系统学的研究包括两大方面,一是蛋白质与酶,二是核酸。酶电泳是分子水平上研究植物分子遗传学最经济有效的方法,可以有效地揭示自然居群中遗传结构、基因流动、变化系统、选择作用和系统发育等问题。植物核酸系统学的研究倍受青睐,因为核酸分子是最基本的进化单元,几乎不受主观因素影响。相关的核酸分析技术主要有：DNA杂交、DNA限制酶谱分析、RFLP分析、DNA指纹图技术、RAPD分析和核酸序列分析。在植物系统学和进化研究中,结合各方面的生物学证据,才能显示植物分子系统学的独特优势。     

不同保存方式下蝗虫组织DNA的提取及RAPD分析

为了开展蝗虫分子系统学研究,分别对冷冻、乙醇浸泡(100%、乙醇、70％乙醇)和干制蝗虫标本用饱和NaCl法进行了基因组DNA的提取,并用随机引物进行扩增,结果表明：70％乙醇固定的标本和部分干标本提取的总DNA得率较低,在琼脂糖凝胶电泳检测中大音琏分有明显降解,导致PCR扩增中信息缺失,甚至无扩增条带;而保存完好的干标本、-20℃冷冻标本和100%,乙醇浸泡标本提取的总DNA带型整齐,无拖尾,PCR扩增结果的稳定性好,成为蝗虫分子系统学研究中首选的三种保存方式。     

两栖爬行动物的分子系统发生

介绍了两栖爬行动物分子系统发生研究中选用的分子信息的种类及已发表的蛙类,蟾蜍类,龟类,蜥蜴类和蛇类等的分子系统学研究,这些研究中使用的DNA信息主要为mtDNA序列,也使用了一些核DNA序列。其研究的内容涉及目间,科间等高级阶元的系统发生关系,以及属间,种间以及亚种或种群间的系统发生关系。     

基于Cyt b基因的网翅蝗科系统发生重建

研究测定了蝗总科25种蝗虫的线粒体Cyt b部分序列,并从GenBank中下载了19种蝗亚目昆虫的Cyt b基因相应序列片段。本文目的是要建立网翅蝗科的系统发育关系并说明网翅蝗科在蝗总科中的分类地位。以瘤锥蝗科的云南蝗Yunnanites coriacea和长额橄蝗Tagasta marginella作为外群,用MP法和贝叶斯法重建系统发生树。比对后的序列长度是384 bp,包括167个简约信息位点。A T平均含量为70.7%,C G 平均含量29.3%。分子系统树表明:网翅蝗科并不是一个单系群。网翅蝗亚科和竹蝗亚科并非单系群。现存的雏蝗属并非单系群,应该是多系群。分子系统学研究结果和传统的基于形态特征的网翅蝗科分类体系有很大的不同。     

线粒体DNA序列特点与昆虫系统学研究

昆虫线粒体DNA是昆虫分子系统学研究中应用最为广泛的遗传物质之一。线粒体DNA具有进化速率较核DNA快 ,遗传过程不发生基因重组、倒位、易位等突变 ,并且遵守严格的母系遗传方式等特点。本文概述了mtDNA中的rRNA、tRNA、蛋白编码基因和非编码区的一般属性 ,分析了它们在昆虫分子系统学研究中的应用价值 ,以及应用DNA序列数据来推导分类阶 (单 )元的系统发育关系时 ,基因或DNA片段选择的重要性     

DNA序列在苔藓分子系统学研究中的应用

DNA是遗传信息的载体,直接对DNA核苷酸排列顺序的分析和比较是研究苔藓分子系统学的最彻底和最理想的方法。本文综述了DNA序列(叶绿体基因组、核基因组和线粒体基因组)在苔藓分子系统学中的应用,探讨了基因片段的选择策略。并提出只有将分子数据和传统分类学取得的研究成果结合起来,构建最合理的系统树,才能更好地推动苔藓分子系统学的发展。     

Double trouble for grasshopper molecular systematics: intra-individual heterogeneity of both mitochondrial 12S-valine-16S and nuclear internal transcribed spacer ribosomal DNA sequences in Hesperotettix viridis (Orthoptera: Acrididae)

Abstract.  Hesperotettix viridis grasshoppers (Orthoptera: Acrididae: Melanoplinae) exhibit intra-individual variation in both mitochondrial 12S-valine-16S and nuclear internal transcribed spacer (ITS) ribosomal DNA sequences. These findings violate core assumptions underlying DNA sequence data obtained via polymerase chain reaction (PCR) amplification for use in molecular systematics investigations. Undetected intra-individual variation of this sort can confound phylogenetic analyses at a range of taxonomic levels. The use of a DNA extraction protocol designed to enrich mitochondrial DNA as well as an initial long PCR of approximately 40% of the grasshopper mitochondrial genome failed to control for the presence of paralogous mitochondrial DNA-like sequences within individuals. These findings constitute the first demonstration of intra-individual heterogeneity in mitochondrial DNA-like sequences in the grasshopper subfamily, Melanoplinae, and only the second report of intra-individual variation in nuclear ITS ribosomal DNA sequences in grasshoppers. The fact that intra-individual variation was detected in two independent DNA marker sets in the same organism strengthens the notion that the orthology of PCR-derived DNA sequences should be examined thoroughly prior to their use in molecular phylogenetic analyses or as DNA barcodes.     

Meta-All: a system for managing metabolic pathway information

Background  

Many attempts are being made to understand biological subjects at a systems level. A major resource for these approaches are biological databases, storing manifold information about DNA, RNA and protein sequences including their functional and structural motifs, molecular markers, mRNA expression levels, metabolite concentrations, protein-protein interactions, phenotypic traits or taxonomic relationships. The use of these databases is often hampered by the fact that they are designed for special application areas and thus lack universality. Databases on metabolic pathways, which provide an increasingly important foundation for many analyses of biochemical processes at a systems level, are no exception from the rule. Data stored in central databases such as KEGG, BRENDA or SABIO-RK is often limited to read-only access. If experimentalists want to store their own data, possibly still under investigation, there are two possibilities. They can either develop their own information system for managing that own data, which is very time-consuming and costly, or they can try to store their data in existing systems, which is often restricted. Hence, an out-of-the-box information system for managing metabolic pathway data is needed.     

What can biological barcoding do for marine biology?

The idea of using nucleotide sequences as barcodes for species identification has stirred up debates in the community of taxonomists and systematists. We argue that barcodes are potentially extremely useful tools for taxonomy for several reasons. Barcodes may, for example, help to identify cryptic and polymorphic species and give means to associate life history stages of unknown identity. Barcode systems would thus be particularly helpful in cases when morphology is ambiguous or uninformative and would provide tools for higher taxonomic resolution of disparate life forms. Comparative analysis of short DNA sequences may also represent heuristic access cards to a deeper understanding of evolutionary relationships between organisms. However, barcodes are the “essence” of species identities no more than taxonomic holotypes are “the species”. It makes no sense to think that morphology and other biological information about organisms can be made obsolete by barcode systems. The biological significance of matching or diverging nucleotide sequences will still have to be the subject of taxonomic decisions that must be open for scrutiny. It is imperative, therefore, that barcodes are associated with specimen vouchers.     

On the validity of Shannon-information calculations for molecular biological sequences

The usefulness of information-theoretic measures of the Shannon-Weaver type, when applied to molecular biological systems such as DNA or protein sequences, has been critically evaluated. It is shown that entropy can be re-expressed in dimensionless terms, thereby making it commensurate with information. Further, we have identified processes in which entropy S and information H change in opposite directions. These processes of opposing signs for delta S and delta H demonstrate that while the Second Law of Thermodynamics mandates that entropy always increases, it places no such restrictions on changes in information. Additionally, we have developed equations permitting information calculations, incorporating conditional occurrence probabilities, on DNA and protein sequences. When the results of such calculations are compared for sequences of various general types, there are no informational content patterns. We conclude that information-theoretic calculations of the present level of sophistication do not provide any useful insights into molecular biological sequences.     

Efficacy of using DNA barcoding to identify parasitoid wasps of the melon-cotton aphid (<Emphasis Type="Italic">Aphis gossypii</Emphasis>) in watermelon cropping system

Parasitoid wasps have received a great deal of attention in the biological control of melon-cotton aphid (Aphis gossypii Glover). The species of parasitoids are often difficult to identify because of their small body size and profound diversity. DNA barcoding offers scientists who are not expert taxonomists a powerful tool to render their field studies more accurate. Using DNA barcodes to identify aphid parasitoid wasps in specific cropping systems may provide valuable information for biological control. Here, we report the use of DNA barcoding to confirm the morphological identification of 14 species (belonging to 13 genera of 7 families) of parasitoid wasps from two-year field samples in a watermelon cropping system. We generated DNA sequences from the mitochondrial COI gene and the nuclear D2 region of 28S rDNA to assess the genetic variation within and between parasitoid species. Automatic Barcode Gap Discovery (ABGD) supported the presence of 14 genetically distinct groups in the dataset. Among the COI sequences, we found no overlap between the maximum K2P distance within species (0.49%) and minimum distance between species (6.85%). The 28S sequences also showed greater interspecific distance than intraspecific distance. DNA barcoding confirmed the morphological identification. However, inconsistency and ambiguity of taxonomic information available in the online databases has limited the successful use of DNA barcoding. Only five species matched those in the BOLD and GenBank. Four species did not match the entries in GenBank and five species showed ambiguous results in BOLD due to confusing nomenclature. We suggested that species identification based on DNA barcodes should be performed using both COI and other genes. Nonetheless, we demonstrate the potential of the DNA barcoding approach to confirm field identifications and to provide a foundation for studies aimed at improving the understanding of the biocontrol services provided by parasitoids in the melon ecosystem.     

The second internal transcribed spacer of nuclear ribosomal DNA as a tool for Latin American anopheline taxonomy - a critical review

Among the molecular markers commonly used for mosquito taxonomy, the internal transcribed spacer 2 (ITS2) of the ribosomal DNA is useful for distinguishing among closely-related species. Here we review 178 GenBank accession numbers matching ITS2 sequences of Latin American anophelines. Among those, we found 105 unique sequences corresponding to 35 species. Overall the ITS2 sequences distinguish anopheline species, however, information on intraspecific and geographic variations is scarce. Intraspecific variations ranged from 0.2% to 19% and our analysis indicates that misidentification and/or sequencing errors could be responsible for some of the high values of divergence. Research in Latin American malaria vector taxonomy profited from molecular data provided by single or few field capture mosquitoes. However we propose that caution should be taken and minimum requirements considered in the design of additional studies. Future studies in this field should consider that: (1) voucher specimens, assigned to the DNA sequences, need to be deposited in collections, (2) intraspecific variations should be thoroughly evaluated, (3) ITS2 and other molecular markers, considered as a group, will provide more reliable information, (4) biological data about vector populations are missing and should be prioritized, (5) the molecular markers are most powerful when coupled with traditional taxonomic tools.     

基于Perl脚本在NCBI网站自动或批量获取物种信息

根据物种学名、分类号、任意一段核酸或蛋白质的序列,判定其属于什么物种及其详细分类的信息如何,是生物信息分析的最为基础且重要的环节,但该过程的分析及结果的获取均为手动,费时费力且容易出错。本研究旨在解决如何在NCBI网站上自动或批量获取物种信息。通过解析NCBI在线BLAST结果及其网页源程序特点,利用Perl语言编写自动化脚本,以达到批量获取查询或比对结果的物种分类信息。本研究编写的Perl语言脚本可解决序列在NCBI在线比对后自动或批量获取物种的分类信息问题,适用于细菌、真菌、动物、植物等物种学名、分类号、核酸或蛋白质的任意序列,可以为同行生物数据分析提供参考。     

HitKeeper, a generic software package for hit list management

Background  

The automated annotation of biological sequences (protein, DNA) relies on the computation of hits (predicted features) on the sequences using various algorithms. Public databases of biological sequences provide a wealth of biological "knowledge", for example manually validated annotations (features) that are located on the sequences, but mining the sequence annotations and especially the predicted and curated features requires dedicated tools. Due to the heterogeneity and diversity of the biological information, it is difficult to handle redundancy, frequent updates, taxonomic information and "private" data together with computational algorithms in a common workflow.     

The DNA Barcode Linker

DNA barcoding is based on the use of short DNA sequences to provide taxonomic tags for rapid, efficient identification of biological specimens. Currently, reference databases are being compiled. In the future, it will be important to facilitate access to these databases, especially for nonspecialist users. The method described here provides a rapid, web-based, user-friendly link between the DNA sequence from an unidentified biological specimen and various types of biological information, including the species name. Specifically, we use a customized, Google-type search algorithm to quickly match an unknown DNA sequence to a list of verified DNA barcodes in the reference database. In addition to retrieving the species name, our web tool also provides automatic links to a range of other information about that species. As the DNA barcode database becomes more populated, it will become increasingly important for the broader user community to be able to exploit it for the rapid identification of unknown specimens and to easily obtain relevant biological information about these species. The application presented here meets that need.     

Molecular Taxonomy of Phytopathogenic Fungi: A Case Study in Peronospora

Background

Inappropriate taxon definitions may have severe consequences in many areas. For instance, biologically sensible species delimitation of plant pathogens is crucial for measures such as plant protection or biological control and for comparative studies involving model organisms. However, delimiting species is challenging in the case of organisms for which often only molecular data are available, such as prokaryotes, fungi, and many unicellular eukaryotes. Even in the case of organisms with well-established morphological characteristics, molecular taxonomy is often necessary to emend current taxonomic concepts and to analyze DNA sequences directly sampled from the environment. Typically, for this purpose clustering approaches to delineate molecular operational taxonomic units have been applied using arbitrary choices regarding the distance threshold values, and the clustering algorithms.

Methodology

Here, we report on a clustering optimization method to establish a molecular taxonomy of Peronospora based on ITS nrDNA sequences. Peronospora is the largest genus within the downy mildews, which are obligate parasites of higher plants, and includes various economically important pathogens. The method determines the distance function and clustering setting that result in an optimal agreement with selected reference data. Optimization was based on both taxonomy-based and host-based reference information, yielding the same outcome. Resampling and permutation methods indicate that the method is robust regarding taxon sampling and errors in the reference data. Tests with newly obtained ITS sequences demonstrate the use of the re-classified dataset in molecular identification of downy mildews.

Conclusions

A corrected taxonomy is provided for all Peronospora ITS sequences contained in public databases. Clustering optimization appears to be broadly applicable in automated, sequence-based taxonomy. The method connects traditional and modern taxonomic disciplines by specifically addressing the issue of how to optimally account for both traditional species concepts and genetic divergence.