New insights into sequence variation in the IGS region of 21 cyathostomin species and the implication for molecular identification

Cyathostomins comprise a group of 50 species of parasitic nematodes that infect equids. Ribosomal DNA sequences, in particular the intergenic spacer (IGS) region, have been utilized via several methodologies to identify pre-parasitic stages of the commonest species that affect horses. These methods rely on the availability of accurate sequence information for each species, as well as detailed knowledge of the levels of intra- and inter-specific variation. Here, the IGS DNA region was amplified and sequenced from 10 cyathostomin species for which sequence was not previously available. Also, additional IGS DNA sequences were generated from individual worms of 8 species already studied. Comparative analysis of these sequences revealed a greater range of intra-specific variation than previously reported (up to 23%); whilst the level of inter-specific variation (3-62%) was similar to that identified in earlier studies. The reverse line blot (RLB) method has been used to exploit the cyathostomin IGS DNA region for species identification. Here, we report validation of novel and existing DNA probes for identification of cyathostomins using this method and highlight their application in differentiating life-cycle stages such as third-stage larvae that cannot be identified to species by morphological means.     

DNA barcoding and phylogenetic analysis of Pectinidae (Mollusca: Bivalvia) based on mitochondrial COI and 16S rRNA genes

DNA sequence data enable not only the inference of phylogenetic relationships but also provide an efficient method for species-level identifications under the terms DNA barcoding or DNA taxonomy. In this study, we have sequenced partial sequences of mitochondrial COI and 16S rRNA genes from 63 specimens of 8 species of Pectinidae to assess whether DNA barcodes can efficiently distinguish these species. Sequences from homologous regions of four other species of this family were gathered from GenBank. Comparisons of within and between species levels of sequence divergence showed that genetic variation between species exceeds variation within species. When using neighbour-joining clustering based on COI and 16S genes, all species fell into reciprocally monophyletic clades with high bootstrap values. These evidenced that these scallop species can be efficiently identified by DNA barcoding. Evolutionary relationships of Pectinidae were also examined using the two mitochondrial genes. The results are almost consistent with Waller’s classification, which was proposed on the basis of shell microstructure and the morphological characteristics of juveniles.     

Automated ortholog inference from phylogenetic trees and calculation of orthology reliability

MOTIVATION: Orthologous proteins in different species are likely to have similar biochemical function and biological role. When annotating a newly sequenced genome by sequence homology, the most precise and reliable functional information can thus be derived from orthologs in other species. A standard method of finding orthologs is to compare the sequence tree with the species tree. However, since the topology of phylogenetic tree is not always reliable one might get incorrect assignments. RESULTS: Here we present a novel method that resolves this problem by analyzing a set of bootstrap trees instead of the optimal tree. The frequency of orthology assignments in the bootstrap trees can be interpreted as a support value for the possible orthology of the sequences. Our method is efficient enough to analyze data in the scale of whole genomes. It is implemented in Java and calculates orthology support levels for all pairwise combinations of homologous sequences of two species. The method was tested on simulated datasets and on real data of homologous proteins.     

Comparative genomics by capture PCR

There is increasing demand for efficient methods to relate genomic information from model organisms to other species of interest. Comparative genetic analyses are particularly valuable to identify functionally important sequence features on the basis of their evolutionary conservation. We demonstrate here how a single segment of just 32 or less conserved coding nucleotide positions can be used to isolate homologous gene sequences from large numbers of species using a single-sided PCR technique. The method was used to isolate and determine the 3'-untranslated sequence of the somatostatin gene from vertebrate species ranging from human to hagfish. Two sequence motifs centered an average 40-145 nucleotides downstream of the translational stop codon have remained conserved for up to 350 million years. One of the conserved tetrapod segments was used to select a primer for amplification of so-called comparative anchor tagged sequences (CATS) in regular PCR, and shown to amplify homologous sequences from DNA samples from 30 out of 33 tetrapods. In conclusion, we present a useful procedure to reveal functionally relevant sequence elements, and to select primers for amplification of homologous sequences from a wide range of species.     

Molecular differentiation and phylogeny of entomopathogenic nematodes (rhabditida: heterorhabditidae) based on ND4 gene sequences of Mitochondrial DNA.

We determined partial ND4 gene sequences of mitochondrial DNA from 15 heterorhabditid nematode isolates, representing 5 species collected from different regions of the world, by using polymerase chain reaction (PCR) and direct-sequencing of PCR products. Aligned nucleotide as well as amino acid sequences were used to differentiate nematode species by comparing sequence divergence and to infer phylogeny of the nematodes by using maximum parsimony and likelihood methods. Robustness of our phylogenetic trees was checked by bootstrap tests. The 15 nematode isolates can be divided into 7 haplotypes based on DNA sequences. On a larger scale, the sequence divergence revealed 4 distinct groups corresponding to 4 described species. No sequence divergence was detected from 5 isolates of Heterorhabditis bacteriophora or between Heterorhabditis marelatus to Heterorhabditis hepialius. Our sequence data yielded phylogenetic trees with identical topologies when different tree-building methods were used. Most relationships were also confirmed by using amino acid sequences in maximum parsimony analysis. Our molecular phylogeny of Heterorhabditis species support an existing taxonomy that is based largely on morphology and the sequence divergence of the ND4 gene permits species identification.     

Two New Computational Methods for Universal DNA Barcoding: A Benchmark Using Barcode Sequences of Bacteria,Archaea, Animals,Fungi, and Land Plants

Taxonomic identification of biological specimens based on DNA sequence information (a.k.a. DNA barcoding) is becoming increasingly common in biodiversity science. Although several methods have been proposed, many of them are not universally applicable due to the need for prerequisite phylogenetic/machine-learning analyses, the need for huge computational resources, or the lack of a firm theoretical background. Here, we propose two new computational methods of DNA barcoding and show a benchmark for bacterial/archeal 16S, animal COX1, fungal internal transcribed spacer, and three plant chloroplast (rbcL, matK, and trnH-psbA) barcode loci that can be used to compare the performance of existing and new methods. The benchmark was performed under two alternative situations: query sequences were available in the corresponding reference sequence databases in one, but were not available in the other. In the former situation, the commonly used “1-nearest-neighbor” (1-NN) method, which assigns the taxonomic information of the most similar sequences in a reference database (i.e., BLAST-top-hit reference sequence) to a query, displays the highest rate and highest precision of successful taxonomic identification. However, in the latter situation, the 1-NN method produced extremely high rates of misidentification for all the barcode loci examined. In contrast, one of our new methods, the query-centric auto-k-nearest-neighbor (QCauto) method, consistently produced low rates of misidentification for all the loci examined in both situations. These results indicate that the 1-NN method is most suitable if the reference sequences of all potentially observable species are available in databases; otherwise, the QCauto method returns the most reliable identification results. The benchmark results also indicated that the taxon coverage of reference sequences is far from complete for genus or species level identification in all the barcode loci examined. Therefore, we need to accelerate the registration of reference barcode sequences to apply high-throughput DNA barcoding to genus or species level identification in biodiversity research.     

DNA barcode goes two-dimensions: DNA QR code web server

The DNA barcoding technology uses a standard region of DNA sequence for species identification and discovery. At present, "DNA barcode" actually refers to DNA sequences, which are not amenable to information storage, recognition, and retrieval. Our aim is to identify the best symbology that can represent DNA barcode sequences in practical applications. A comprehensive set of sequences for five DNA barcode markers ITS2, rbcL, matK, psbA-trnH, and CO1 was used as the test data. Fifty-three different types of one-dimensional and ten two-dimensional barcode symbologies were compared based on different criteria, such as coding capacity, compression efficiency, and error detection ability. The quick response (QR) code was found to have the largest coding capacity and relatively high compression ratio. To facilitate the further usage of QR code-based DNA barcodes, a web server was developed and is accessible at http://qrfordna.dnsalias.org. The web server allows users to retrieve the QR code for a species of interests, convert a DNA sequence to and from a QR code, and perform species identification based on local and global sequence similarities. In summary, the first comprehensive evaluation of various barcode symbologies has been carried out. The QR code has been found to be the most appropriate symbology for DNA barcode sequences. A web server has also been constructed to allow biologists to utilize QR codes in practical DNA barcoding applications.     

ITS2 sequences as barcodes for identifying and analyzing spider mites (Acari: Tetranychidae)

The use of DNA barcodes, short DNA sequences from a standardized region of the genome, has recently been proposed as a tool to facilitate species identification and discovery. Here we show that second internal transcribed spacer of nuclear ribosomal DNA (rDNA-ITS2) barcodes effectively discriminate among 16 species of spider mites (Acari: Tetranychidae) from Israel. The barcode sequences of each species were unambiguously distinguishable from all other species and formed distinct, nonoverlapping monophyletic groups in the maximum-parsimony tree. Sequence divergences were generally much greater between species than within them. Using a 0.02 (2%) threshold for species diagnosis in our data set, 14 out of 16 species recognized by morphological criteria would be accurately identified. The only exceptions involved the low divergence, 0.011–0.015 (1.1–1.5%), between Tetranychus urticae and Tetranychus turkestani, where speciation may have occurred only recently. Still, these species had fixed alternative rDNA-ITS2 variants, with five diagnostic nucleotide substitutions. As a result, we tentatively conclude that rDNA-ITS2 sequence barcodes may serve as an effective tool for the identification of spider mite species and can be applicable as a diagnostic tool for quarantine and other pest management activities and decision-making. We predict that our work, together with similar efforts, will provide in the future the platform for a uniform, accurate, practical and easy-to-use method of spider mite species identification.     

基于线粒体CO 1基因序列的DNA条形码在鲤科鲌属鱼类物种鉴定中的应用

本研究探讨了线粒体CO1基因作为DNA条形码对鲌属鱼类进行物种鉴定的可行性。研究中获得了鲌属4种鱼类共32个个体长度为816bp的CO1基因序列。利用MEGA软件计算鲌属鱼类种间及种内遗传距离,利用邻接法、最大简约法、最大似然法和Bayesian方法分别构建分子系统树。结果显示,鲌属鱼类的种间遗传距离显著大于种内遗传距离。在系统树中,鲌属鱼类每一物种的个体分别形成各自独立的分支。基于CO1基因的DNA条形码在识别鲌属鱼类物种方面和传统形态学基本一致,而且该基因可以探讨鲌属鱼类种间的系统发育关系。本研究表明以CO1基因作为鲌属鱼类DNA条形码进行物种鉴定具有一定的可行性。     

Moorea BIOCODE barcode library as a tool for understanding predator–prey interactions: insights into the diet of common predatory coral reef fishes

Identifying species involved in consumer–resource interactions is one of the main limitations in the construction of food webs. DNA barcoding of prey items in predator guts provides a valuable tool for characterizing trophic interactions, but the method relies on the availability of reference sequences to which prey sequences can be matched. In this study, we demonstrate that the COI sequence library of the Moorea BIOCODE project, an ecosystem-level barcode initiative, enables the identification of a large proportion of semi-digested fish, crustacean and mollusks found in the guts of three Hawkfish and two Squirrelfish species. While most prey remains lacked diagnostic morphological characters, 94% of the prey found in 67 fishes had >98% sequence similarity with BIOCODE reference sequences. Using this species-level prey identification, we demonstrate how DNA barcoding can provide insights into resource partitioning, predator feeding behaviors and the consequences of predation on ecosystem function.     

Phylogenetic relationships of North American garter snakes (Thamnophis) based on four mitochondrial genes: how much DNA sequence is enough?

The clade of garter snakes (Thamnophis) includes some of the most abundant and well-studied snakes in North America. However, phylogenetic relationships within this group have been little studied. We used DNA sequences of four mitochondrial genes (cytochrome b and NADH dehydrogenase subunits 1, 2, and 4) to estimate relationships among 29 of the 31 recognized species of Thamnophis plus the related species Adelophis foxi. Both maximum parsimony (MP) and maximum-likelihood (ML) analyses of all these genes combined produced well-resolved trees with moderate (70-89%) to strong (90-100%) bootstrap support for most clades. MP and ML trees were very similar, with no strongly supported conflict between the two analyses. These analyses identify a clade of 12 species largely restricted to México (the "Mexican clade"), and a clade containing 15 species that collectively range from Central America to southern Canada (the "widespread clade"). These two groups are identified as sister taxa in both MP and ML analyses. A clade consisting of the ribbon snakes (T. sauritus and T. proximus) and the common garter snake (T. sirtalis) is placed as the sister group to all other Thamnophis (i.e., the Mexican + widespread clades) in our analyses. High bootstrap proportions at several levels in the tree support the inclusion of both Thamnophis validus, which has traditionally been placed in the genus Nerodia, and the poorly known species Adelophis foxi within Thamnophis. We used randomly sampled characters (i.e., standard bootstrapping) and randomly sampled contiguous blocks of characters to examine the effect of number of characters on resolution of and support for relationships within Thamnophis using MP. In general, these analyses indicate that we have reached a point of strongly diminishing returns with respect to the effect of adding mtDNA sequence characters for the current set of taxa; our sample of 3809 mtDNA characters is apparently "enough." The next steps to improve the phylogenetic estimate may be to add nuclear DNA sequences, morphology, or behavior, or to sequence additional mtDNA lineages within species.     

DNA barcoding of economically important freshwater fish species from north‐central Nigeria uncovers cryptic diversity

This study examines the utility of morphology and DNA barcoding in species identification of freshwater fishes from north‐central Nigeria. We compared molecular data (mitochondrial cytochrome c oxidase subunit I (COI) sequences) of 136 de novo samples from 53 morphologically identified species alongside others in GenBank and BOLD databases. Using DNA sequence similarity‐based (≥97% cutoff) identification technique, 50 (94.30%) and 24 (45.30%) species were identified to species level using GenBank and BOLD databases, respectively. Furthermore, we identified cases of taxonomic problems in 26 (49.00%) morphologically identified species. There were also four (7.10%) cases of mismatch in DNA barcoding in which our query sequence in GenBank and BOLD showed a sequence match with different species names. Using DNA barcode reference data, we also identified four unknown fish samples collected from fishermen to species level. Our Neighbor‐joining (NJ) tree analysis recovers several intraspecific species clusters with strong bootstrap support (≥95%). Analysis uncovers two well‐supported lineages within Schilbe intermedius. The Bayesian phylogenetic analyses of Nigerian S. intermedius with others from GenBank recover four lineages. Evidence of genetic structuring is consistent with geographic regions of sub‐Saharan Africa. Thus, cryptic lineage diversity may illustrate species’ adaptive responses to local environmental conditions. Finally, our study underscores the importance of incorporating morphology and DNA barcoding in species identification. Although developing a complete DNA barcode reference library for Nigerian ichthyofauna will facilitate species identification and diversity studies, taxonomic revisions of DNA sequences submitted in databases alongside voucher specimens are necessary for a reliable taxonomic and diversity inventory.     

Single nucleotide polymorphism barcoding of cytochrome c oxidase I sequences for discriminating 17 species of Columbidae by decision tree algorithm

DNA barcodes are widely used in taxonomy, systematics, species identification, food safety, and forensic science. Most of the conventional DNA barcode sequences contain the whole information of a given barcoding gene. Most of the sequence information does not vary and is uninformative for a given group of taxa within a monophylum. We suggest here a method that reduces the amount of noninformative nucleotides in a given barcoding sequence of a major taxon, like the prokaryotes, or eukaryotic animals, plants, or fungi. The actual differences in genetic sequences, called single nucleotide polymorphism (SNP) genotyping, provide a tool for developing a rapid, reliable, and high‐throughput assay for the discrimination between known species. Here, we investigated SNPs as robust markers of genetic variation for identifying different pigeon species based on available cytochrome c oxidase I (COI) data. We propose here a decision tree‐based SNP barcoding (DTSB) algorithm where SNP patterns are selected from the DNA barcoding sequence of several evolutionarily related species in order to identify a single species with pigeons as an example. This approach can make use of any established barcoding system. We here firstly used as an example the mitochondrial gene COI information of 17 pigeon species (Columbidae, Aves) using DTSB after sequence trimming and alignment. SNPs were chosen which followed the rule of decision tree and species‐specific SNP barcodes. The shortest barcode of about 11 bp was then generated for discriminating 17 pigeon species using the DTSB method. This method provides a sequence alignment and tree decision approach to parsimoniously assign a unique and shortest SNP barcode for any known species of a chosen monophyletic taxon where a barcoding sequence is available.     

Identification of gobies (Teleostei: Perciformes: Gobiidae) from the North and Baltic Seas combining morphological analysis and DNA barcoding

Gobies are difficult to identify, as they are very similar in appearance. Here, we identified (sub)adult specimens of 12 goby species from the North Sea and the Baltic Sea by carefully analysing meristic characters, coloration patterns, papillae row patterns and morphometric measurements. The results of the morphological identifications were congruent with those obtained with the analysis of COI DNA barcodes; sequences from morphological conspecific specimens were clustered together in clades with bootstrap values ≥ 99%. Mean intra‐ and interspecific distance (uncorrected p) was 0.37 and 18.97%, respectively. A gap between the maximum intraspecific distance and the distance to the nearest neighbour was apparent in every species and ranged from 2.35 to 16.11%. The Barcode Index Number (BIN) analysis performed on the Barcode of Life Data Systems (BOLD) web platform, assigned the DNA barcodes to 12 separate clusters corresponding to sequence‐ and morphology‐based identification. In 25% of the investigated species, the BIN clusters showed taxonomic discordances, as they contained sequences assigned to more than one species. This result demonstrates the importance of accurate morphological species identification at the beginning of the barcoding pipeline. © 2014 The Linnean Society of London     

DNA条形码在中国金合欢属中的应用

根据形态特征难以准确地辨别金合欢属植物,DNA条形码技术提供了一种准确地鉴定物种的方法。本文利用条形码技术对中国金合欢属物种的序列(psbA trnH、matK、rbcL和ITS)及其不同组合进行比较,通过计算种内和种间变异进行barcoding gap分析,运用Wilcoxon秩和检验比较不同序列的变异性,构建系统树。结果表明：4个片段均存在barcoding gap,ITS序列种间变异率较psbA trnH、rbcL和matK序列有明显优势,单片段ITS正确鉴定率最高,ITS+rbcL片段联合条码的正确鉴定率最高,因此我们认为ITS片段或条形码组合ITS+rbcL是金合欢属的快速鉴别最理想的条码。     

北京地区7种常见嗜尸性蝇类的COI基因序列分析及DNA条形码的建立

嗜尸性蝇类在命案死亡时间和现场推断方面有着十分重要的应用, 而DNA 条形编码技术能摆脱对虫卵和幼虫的饲养以及后续物种鉴定方面专业知识的依赖, 有助于实现现场采集蝇类样本的快速鉴定。本研究采集了北京地区7个嗜尸性蝇类优势种共77个个体的样本, 测定了所有个体线粒体DNA 上细胞色素C氧化酶亚基Ⅰ（COI）基因1 120 bp的序列。基于序列的系统发生分析显示, 同一物种不同个体的序列均以高达99%的支持值聚集在一起。序列间的分歧统计表明这些蝇类在物种内的个体分歧不超过1%, 而不同物种间的净分歧均超过7.74%, 最高可达14.85%。滑动窗口分析表明, 在整个序列区段种间差异位点存在较平均的分布。通过测定COI基因的序列, 建立了北京地区7个嗜尸性蝇类优势种的DNA条形码, 据此实现了对这些物种准确、快速、简单的区分和鉴定, 同时也为后续应用于物种鉴定的种属特异性位点之筛选提供了基础数据。     

Determining the specific DNA sequences of the Gastrodia tuber and their potential importance

The Gastrodia tuber, as well as the gastrodine extract derived from it, has been found to have many pharmacological effects. The gastrodine content of different tuber populations was determined, and their genomic DNA fingerprints were investigated. Through recovery, cloning, sequencing and bioinformatics analyses of DNA fragments, five DNA sequences were proved to be new discoveries. Using the PCR technique, we further studied the distribution of the sequences in eight Gastrodia populations, as well as their correlation with gastrodine content. The distribution of the five DNA sequences varied greatly among the populations. DNA sequences 1 and 5 were found in all the populations studied and determined to be specific DNA molecular markers that differentiate Gastrodia from other species. DNA sequence 2 was found only in the populations showing the highest gastrodine content. Hence, these sequences can be applied to identify genuine Gastrodia tubers and to optimise the selection of better populations.     

Modern tools for identification of nucleic acid-binding proteins

Numerous biological mechanisms depend on nucleic acid--protein interactions. The first step to the understanding of these mechanisms is to identify interacting molecules. Knowing one partner, the identification of other associated molecular species can be carried out using affinity-based purification procedures. When the nucleic acid-binding protein is known, the nucleic acid can be isolated and identified by sensitive techniques such as polymerase chain reaction followed by DNA sequencing or hybridization on chips. The reverse identification procedure is less straightforward in part because interesting nucleic acid-binding proteins are generally of low abundance and there are no methods to amplify amino acid sequences. In this article, we will review the strategies that have been developed to identify nucleic acid-binding proteins. We will focus on methods permitting the identification of these proteins without a priori knowledge of protein candidates.