以雾灵山夜蛾科为材料评估进化模型对DNA条码分类的影响

为了探究进化模型对DNA条形码分类的影响, 本研究以雾灵山夜蛾科44个种的标本为材料, 获得COI基因序列。使用邻接法（neighbor-joining）、 最大简约法（maximum parsimony）、 最大似然法（maximum likelihood）以及贝叶斯法（Bayesian inference）构建系统发育树, 并且对邻接法的12种模型、 最大似然法的7种模型、 贝叶斯法的2种模型进行模型成功率的评估。结果表明, 邻接法的12种模型成功率相差不大, 较稳定; 最大似然法及贝叶斯法的不同模型成功率存在明显差异, 不稳定; 最大简约法不基于模型, 成功率比较稳定。邻接法及最大似然法共有6种相同的模型, 这6种模型在不同的方法中成功率存在差异。此外, 分子数据中存在单个物种仅有一条序列的情况, 显著降低了模型成功率, 表明在DNA条形码研究中, 每个物种需要有多个样本。     

Testing four proposed barcoding markers for the identification of species within Ligustrum L.(Oleaceae)

DNA barcoding is a biological technique that uses short and standardized genes or DNA regions to facilitate species identification. DNA barcoding has been used successfully in several animal and plant groups. Ligustrum (Oleaceae) species occur widely throughout the world and are used as medicinal plants in China. Therefore, the accurate identification of species in this genus is necessary. Four potential DNA barcodes, namely the nuclear ribosomal internal transcribed spacer (ITS) and three chloroplast (cp) DNA regions (rbcL, marK, and trnH-psbA),were used to differentiate species within Ligustrum. BLAST, character-based method, tree-based methods and TAXONDNA analysis were used to investigate the molecular identification capabilities of the chosen markers for discriminating 92 samples representing 20 species of this genus. The results showed that the ITS sequences have the most variable information, followed by trnH-psbA, matK, and rbcL. All sequences of the four regions correctly identified the species at the genus level using BLAST alignment. At the species level, the discriminating power of rbcL, matK, trnH-psbA and ITS based on neighbor-joining (NJ) trees was 36.8%, 38.9%, 77.8%, and 80%,respectively. Using character-based and maximum parsimony (MP) tree methods together, the discriminating ability of trnH-psbA increased to 88.9%. All species could be differentiated using ITS when combining the NJ tree method with character-based or MP tree methods. Overall, the results indicate that DNA barcoding is an effective molecular identification method for Ligustrum species. We propose the nuclear ribosomal ITS as a plant barcode for plant identification and trnH-psbA as a candidate barcode sequence.     

Testing four proposed barcoding markers for the identification of species within Ligustrum L. (Oleaceae)

DNA barcoding is a biological technique that uses short and standardized genes or DNA regions to facilitate species identification. DNA barcoding has been used successfully in several animal and plant groups. Ligustrum (Oleaceae) species occur widely throughout the world and are used as medicinal plants in China. Therefore, the accurate identification of species in this genus is necessary. Four potential DNA barcodes, namely the nuclear ribosomal internal transcribed spacer (ITS) and three chloroplast (cp) DNA regions (rbcL, matK, and trnH–psbA), were used to differentiate species within Ligustrum. BLAST, character-based method, tree-based methods and TAXONDNA analysis were used to investigate the molecular identification capabilities of the chosen markers for discriminating 92 samples representing 20 species of this genus. The results showed that the ITS sequences have the most variable information, followed by trnH–psbA, matK, and rbcL. All sequences of the four regions correctly identified the species at the genus level using BLAST alignment. At the species level, the discriminating power of rbcL, matK, trnH–psbA, and ITS based on neighbor-joining (NJ) trees was 36.8%, 38.9%, 77.8%, and 80%, respectively. Using character-based and maximum parsimony (MP) tree methods together, the discriminating ability of trnH–psbA increased to 88.9%. All species could be differentiated using ITS when combining the NJ tree method with character-based or MP tree methods. Overall, the results indicate that DNA barcoding is an effective molecular identification method for Ligustrum species. We propose the nuclear ribosomal ITS as a plant barcode for plant identification and trnH–psbA as a candidate barcode sequence.     

DNA barcode sequence identification incorporating taxonomic hierarchy and within taxon variability

For DNA barcoding to succeed as a scientific endeavor an accurate and expeditious query sequence identification method is needed. Although a global multiple-sequence alignment can be generated for some barcoding markers (e.g. COI, rbcL), not all barcoding markers are as structurally conserved (e.g. matK). Thus, algorithms that depend on global multiple-sequence alignments are not universally applicable. Some sequence identification methods that use local pairwise alignments (e.g. BLAST) are unable to accurately differentiate between highly similar sequences and are not designed to cope with hierarchic phylogenetic relationships or within taxon variability. Here, I present a novel alignment-free sequence identification algorithm--BRONX--that accounts for observed within taxon variability and hierarchic relationships among taxa. BRONX identifies short variable segments and corresponding invariant flanking regions in reference sequences. These flanking regions are used to score variable regions in the query sequence without the production of a global multiple-sequence alignment. By incorporating observed within taxon variability into the scoring procedure, misidentifications arising from shared alleles/haplotypes are minimized. An explicit treatment of more inclusive terminals allows for separate identifications to be made for each taxonomic level and/or for user-defined terminals. BRONX performs better than all other methods when there is imperfect overlap between query and reference sequences (e.g. mini-barcode queries against a full-length barcode database). BRONX consistently produced better identifications at the genus-level for all query types.     

Testing the reliability of genetic methods of species identification via simulation

Although genetic methods of species identification, especially DNA barcoding, are strongly debated, tests of these methods have been restricted to a few empirical cases for pragmatic reasons. Here we use simulation to test the performance of methods based on sequence comparison (BLAST and genetic distance) and tree topology over a wide range of evolutionary scenarios. Sequences were simulated on a range of gene trees spanning almost three orders of magnitude in tree depth and in coalescent depth; that is, deep or shallow trees with deep or shallow coalescences. When the query's conspecific sequences were included in the reference alignment, the rate of positive identification was related to the degree to which different species were genetically differentiated. The BLAST, distance, and liberal tree-based methods returned higher rates of correct identification than did the strict tree-based requirement that the query was within, but not sister to, a single-species clade. Under this more conservative approach, ambiguous outcomes occurred in inverse proportion to the number of reference sequences per species. When the query's conspecific sequences were not in the reference alignment, only the strict tree-based approach was relatively immune to making false-positive identifications. Thresholds affected the rates at which false-positive identifications were made when the query's species was unrepresented in the reference alignment but did not otherwise influence outcomes. A conservative approach using the strict tree-based method should be used initially in large-scale identification systems, with effort made to maximize sequence sampling within species. Once the genetic variation within a taxonomic group is well characterized and the taxonomy resolved, then the choice of method used should be dictated by considerations of computational efficiency. The requirement for extensive genetic sampling may render these techniques inappropriate in some circumstances.     

How Effective Are DNA Barcodes in the Identification of African Rainforest Trees?

Background

DNA barcoding of rain forest trees could potentially help biologists identify species and discover new ones. However, DNA barcodes cannot always distinguish between closely related species, and the size and completeness of barcode databases are key parameters for their successful application. We test the ability of rbcL, matK and trnH-psbA plastid DNA markers to identify rain forest trees at two sites in Atlantic central Africa under the assumption that a database is exhaustive in terms of species content, but not necessarily in terms of haplotype diversity within species.

Methodology/Principal Findings

We assess the accuracy of identification to species or genus using a genetic distance matrix between samples either based on a global multiple sequence alignment (GD) or on a basic local alignment search tool (BLAST). Where a local database is available (within a 50 ha plot), barcoding was generally reliable for genus identification (95–100% success), but less for species identification (71–88%). Using a single marker, best results for species identification were obtained with trnH-psbA. There was a significant decrease of barcoding success in species-rich clades. When the local database was used to identify the genus of trees from another region and did include all genera from the query individuals but not all species, genus identification success decreased to 84–90%. The GD method performed best but a global multiple sequence alignment is not applicable on trnH-psbA.

Conclusions/Significance

Barcoding is a useful tool to assign unidentified African rain forest trees to a genus, but identification to a species is less reliable, especially in species-rich clades, even using an exhaustive local database. Combining two markers improves the accuracy of species identification but it would only marginally improve genus identification. Finally, we highlight some limitations of the BLAST algorithm as currently implemented and suggest possible improvements for barcoding applications.     

Inferring species membership using DNA sequences with back-propagation neural networks

DNA barcoding as a method for species identification is rapidly increasing in popularity. However, there are still relatively few rigorous methodological tests of DNA barcoding. Current distance-based methods are frequently criticized for treating the nearest neighbor as the closest relative via a raw similarity score, lacking an objective set of criteria to delineate taxa, or for being incongruent with classical character-based taxonomy. Here, we propose an artificial intelligence-based approach - inferring species membership via DNA barcoding with back-propagation neural networks (named BP-based species identification) - as a new advance to the spectrum of available methods. We demonstrate the value of this approach with simulated data sets representing different levels of sequence variation under coalescent simulations with various evolutionary models, as well as with two empirical data sets of COI sequences from East Asian ground beetles (Carabidae) and Costa Rican skipper butterflies. With a 630-to 690-bp fragment of the COI gene, we identified 97.50% of 80 unknown sequences of ground beetles, 95.63%, 96.10%, and 100% of 275, 205, and 9 unknown sequences of the neotropical skipper butterfly to their correct species, respectively. Our simulation studies indicate that the success rates of species identification depend on the divergence of sequences, the length of sequences, and the number of reference sequences. Particularly in cases involving incomplete lineage sorting, this new BP-based method appears to be superior to commonly used methods for DNA-based species identification.     

锦葵科植物DNA条形码通用序列的筛选

对锦葵科植物样品的ITS、ITS2、rbcL、matK和psbA-trnH序列进行PCR扩增和测序,比较各序列的扩增效率、测序成功率、种内和种间变异的差异以及barcoding gap图,使用BLAST1和Nearest Distance方法评价不同序列的鉴定能力,进而从这些候选序列中筛选出较适合锦葵科植物鉴别的DNA条形码序列。结果表明,ITS序列在采集的锦葵科植物11个种26个样品中的扩增成功率较高,其种内、种间变异差异和barcoding gap较ITS2、psbA-trnH及rbcL序列具有更明显的优势,且纳入60个属316个种共1228个样品的网上数据后,其鉴定成功率可达89.9%。psbA-trnH序列的扩增和测序成功率最高,其鉴定成功率为63.2%,并能鉴别一些ITS序列无法鉴别的种。实验结果表明,ITS和psbA-trnH是较适合鉴别锦葵科植物的DNA条形码序列组合。     

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.     

Molecular authentication of the medicinal herb Ruta graveolens (Rutaceae) and an adulterant using nuclear and chloroplast DNA markers

Dried parts of different plant species often look alike, especially in powdered form, making them very difficult to identify. Ruta graveolens, sold as a dried medicinal herb, can be adulterated with Euphorbia dracunculoides. The genomic DNA was isolated from the leaf powder (100 mg each) using the modified CTAB method. Internal transcribed spacer sequences of nuclear ribosomal DNA (nrDNA-ITS), and chloroplast spacer sequences (rpoB and rpoC1) are regarded as potential genes for plant DNA barcoding. We amplified and sequenced these spacer sequences and confirmed the sequences with a BLAST search. Sequence alignment was performed using ClustalX to look for differences in the sequences. A DNA marker was developed based on rpoB and rpoC1 of the nrDNA-ITS for the identification of the adulterant E. dracunculoides in samples of R. graveolens that are sold in local herbal markets. Sequence-characterized amplified region markers of 289 and 264 bp for R. graveolens and 424 bp for E. dracunculoides were developed from dissimilar sequences of this nrDNA-ITS to speed up the authentication process. This marker successfully distinguished these species in extracted samples with as little as 5 ng DNA/μL extract.     

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。     

A comparison of position-specific score matrices based on sequence and structure alignments

Sequence comparison methods based on position-specific score matrices (PSSMs) have proven a useful tool for recognition of the divergent members of a protein family and for annotation of functional sites. Here we investigate one of the factors that affects overall performance of PSSMs in a PSI-BLAST search, the algorithm used to construct the seed alignment upon which the PSSM is based. We compare PSSMs based on alignments constructed by global sequence similarity (ClustalW and ClustalW-pairwise), local sequence similarity (BLAST), and local structure similarity (VAST). To assess performance with respect to identification of conserved functional or structural sites, we examine the accuracy of the three-dimensional molecular models predicted by PSSM-sequence alignments. Using the known structures of those sequences as the standard of truth, we find that model accuracy varies with the algorithm used for seed alignment construction in the pattern local-structure (VAST) > local-sequence (BLAST) > global-sequence (ClustalW). Using structural similarity of query and database proteins as the standard of truth, we find that PSSM recognition sensitivity depends primarily on the diversity of the sequences included in the alignment, with an optimum around 30-50% average pairwise identity. We discuss these observations, and suggest a strategy for constructing seed alignments that optimize PSSM-sequence alignment accuracy and recognition sensitivity.     

DNA barcoding in medicinal plants: Testing the potential of a proposed barcoding marker for identification of Uncaria species from China

DNA barcoding, an increasingly popular mean of species identification, has been widely used for global species identification despite a consensus not being reached regarding which DNA sequences can be used as the best plant barcodes. In this study, we tested the feasibility of five candidate DNA barcodes (nrITS, nrITS2, matk, rbcL and trnH-psbA) for identifying Uncaria species. We collected a total of 54 specimens of 10 Uncaria species across its distributional range. BLAST, barcoding gaps, tree-based methods and TAXONDNA analysis were used to investigate the molecular identification capability of the candidate DNA barcodes. The results showed that the ITS2 is most suitable as a candidate DNA barcode for identification of medicinal plants of the genus Uncaria.     

锦葵科植物DNA条形码通用序列的筛选

对锦葵科植物样品的ITS、ITS2、rbcL、matK和psbA-trnH序列进行PCR扩增和测序, 比较各序列的扩增效率、测序成功率、种内和种间变异的差异以及barcoding gap图, 使用BLAST1和Nearest Distance方法评价不同序列的鉴定能力, 进而从这些候选序列中筛选出较适合锦葵科植物鉴别的DNA条形码序列。结果表明, ITS序列在采集的锦葵科植物11个种26个样品中的扩增成功率较高, 其种内、种间变异差异和barcoding gap较ITS2、psbA-trnH及rbcL序列具有更明显的优势, 且纳入60个属316个种共1 228个样品的网上数据后, 其鉴定成功率可达89.9%。psbA-trnH序列的扩增和测序成功率最高, 其鉴定成功率为63.2%, 并能鉴别一些ITS序列无法鉴别的种。实验结果表明, ITS和psbA-trnH是较适合鉴别锦葵科植物的DNA条形码序列组合。     

DNA条形码(ITS2)在葫芦科鉴定中应用价值的评估

探讨在纳入分析数据时,数据信息的选择对ITS2序列作为DNA条形码在葫芦科植物中鉴定能力的影响。首先,建立由葫芦科植物ITS2序列组成的3个资料组,其中Dataset1为实验样本,Dataset2由实验样本及GenBank数据库样本组合,Dataset3为从Dataset2中去除部分序列后所得。通过比较3个资料组的种间、种内的变异、Barcoding Gap及鉴定成功率,评估纳入分析的数据选择差异对ITS2鉴定能力的影响。结果显示ITS2序列在3个资料组属水平上的鉴定成功率均达到100%;种水平上,用BLAST1法鉴定成功率分别为100%、 67.8%、 90.6%,Nearest Distance法鉴定成功率分别为100%、 52.5%、 66.5%。可见纳入分析的数据选择有差异时,会导致鉴定成功率的较大变化。3个资料组中,ITS2分析仅有Dataset2的Barcoding Gap不够显著。因此对于DNA条形码分析中的数据纳入标准,值得进一步研究。     

中国蛛缘蝽科物种DNA条形码研究(英文)

【目的】本研究旨在探讨DNA条形码对中国蛛缘蝽科(半翅目：缘蝽总科)物种界定的适用性。【方法】对中国蛛缘蝽科13属23种207个样本的线粒体COI基因DNA条形码序列进行扩增,并扩增稻缘蝽属Leptocorisa 3个物种的31条内转录间隔区1(ITS-1)序列作为辅助标记。使用MEGA 11软件计算种间和种内遗传距离(Kimura 2-parameter, K2P);采用邻接法(neighbor-joining, NJ)进行物种聚类分析;利用中介邻接网络算法构建单倍型网络图。【结果】基于线粒体COI DNA条形码序列得出测试的中国蛛缘蝽科所有23个种的种内平均K2P距离在2%以下,种间K2P距离在0.98%~23.98%之间(平均17.50%)。多数物种彼此能够被较好地分开,且支持率较高。其中,中稻缘蝽Leptocorisa chinensis和大稻缘蝽L. oratoria共享部分COI单倍型,造成COI条形码无法区分二者,可通过ITS-1序列在单倍型网络分析中将二者区分。【结论】本研究得出的中国蛛缘蝽科中绝大部分物种的DNA条形码数据分析结果与基于形态特征的分类单元一致。然而,对于其中亲缘关系极近的物种,单靠线粒体数据尤其是COI条形码序列无法进行准确界定,需引入其他DNA序列或其他类型数据进行区分。     

Barcoding the major Mediterranean leguminous crops by combining universal chloroplast and nuclear DNA sequence targets

The ability to discriminate all species is the ultimate target in barcoding. The Mediterranean basin is a center of origin for legumes and thus they have played a key role in feeding the Mediterranean population. It is also a region with important protected designation of origin and protected geographical indication legumes that provide income in rural areas. We evaluated the use of two chloroplast regions, trnL and rpoC1, and a nuclear internal transcriber region, ITS2, for their efficiency to barcode the main Mediterranean leguminous crops. Twenty-five legume species were studied. Plant material of pasture and legumes was obtained from the Greek GenBank and the Fodder Crops and Pastures Institute (National Agricultural Research Foundation). DNA was extracted with the Qiagen DNeasy plant mini-kit and PCR amplification was performed using the Kapa Taq DNA polymerase using primers amplifying the chloroplast trnL and rpoC1 regions or the nuclear region ITS2. PCR products were sequenced and the sequences were aligned using CLUSTAL W. Species identification based on the sequence similarity approach was performed using the GenBank database. In order to evaluate intraspecific and interspecific divergence in legumes we used Molecular Evolutionary Genetics Analysis 5 and for pairwise Kimura 2-parameter distance calculations for all 3 DNA regions (2 chloroplast regions, trnL and rpoC1, and the nuclear region ITS2). Four tree-based methods (neighbor joining and maximum parsimony, maximum likelihood, and Bayesian inference analyses) were used to exhibit the molecular identification results to represent differences as an uprooted dendrogram. Additionally, the sequence character-based method was used with DnaSP and the information from each site was treated as a character to distinguish the species from one another. The DNA regions trnL and ITS2 successfully (100%) discriminated the Mediterranean crop legume species used, while rpoC1 identified only 72% of them. Furthermore, the use of the trnL region enabled the discrimination of even very closely related species, like Phaseolus lunatus and P. coccineus or Vicia faba subsp major with V. faba subsp minor, which are so closely related that even in NCBI they were both referred as Phaseolus vulgaris and V. faba, respectively. We conclude that trnL and ITS2 are efficient DNA barcoding target regions in order to discriminate Mediterranean leguminous crops and provide a reliable and efficient tool for the scientific, agricultural and industrial community.     

A comprehensive DNA sequence library is essential for identification with DNA barcodes

In this study we examine the possibility of utilising partial cox1 gene sequences as barcodes to identify non-biting midges (Diptera: Chironomidae). We analysed DNA from 97 specimens of 47 species in the genera Cladotanytarsus, Micropsectra, Parapsectra, Paratanytarsus, Rheotanytarsus, Tanytarsus and Virgatanytarsus with a main focus on Micropsectra, Parapsectra and Paratanytarsus. Our findings show that (1) cox1 is easily amplified from extracts from different life stages with the standard barcoding primers. (2) Although K2P-distances between con-specific sequences varied up to 4.9%, con-specifics clustered together with 91-100% bootstrap support in maximum parsimony analysis. This indicates that barcodes may be excellent tools to identify species that are already in a cox1 library. (3) Both neighbour joining and maximum parsimony failed to reconstruct monophyletic genera. Thus, if a well-matching cox1 sequence is not already available in the library, the prospects of approximately identifying an unknown taxon, even to the correct genus of subtribe Tanytarsina, are not good.     

Existence of species complex largely reduced barcoding success for invasive species of Tephritidae: a case study in Bactrocera spp.

Fruit flies in the family Tephritidae are the economically important pests that have many species complexes. DNA barcoding has gradually been verified as an effective tool for identifying species in a wide range of taxonomic groups, and there are several publications on rapid and accurate identification of fruit flies based on this technique; however, comprehensive analyses of large and new taxa for the effectiveness of DNA barcoding for fruit flies identification have been rare. In this study, we evaluated the COI barcode sequences for the diagnosis of fruit flies using 1426 sequences for 73 species of Bactrocera distributed worldwide. Tree‐based [neighbour‐joining (NJ)]; distance‐based, such as Best Match (BM), Best Close Match (BCM) and Minimum Distance (MD); and character‐based methods were used to evaluate the barcoding success rates obtained with maintaining the species complex in the data set, treating a species complex as a single taxon unit, and removing the species complex. Our results indicate that the average divergence between species was 14.04% (0.00–25.16%), whereas within a species this was 0.81% (0.00–9.71%); the existence of species complexes largely reduced the barcoding success for Tephritidae, for example relatively low success rates (74.4% based on BM and BCM and 84.8% based on MD) were obtained when the sequences from species complexes were included in the analysis, whereas significantly higher success rates were achieved if the species complexes were treated as a single taxon or removed from the data set – BM (98.9%), BCM (98.5%) and MD (97.5%), or BM (98.1%), BCM (97.4%) and MD (98.2%).