蒟蒻薯属 (薯蓣科) 植物DNA条形码研究

蒟蒻薯属（Tacca）植物种间在形态上差别不大,导致分类上存在一定的困难。DNA条形码是一种利用短的DNA标准片段来鉴别和发现物种的方法。本研究利用核基因ITS片段和叶绿体基因trnH psbA, rbcL, matK片段对蒟蒻薯属6个种的DNA条形码进行研究,对4个DNA片段可用性,种内种间变异,barcode gap进行了分析,采用Tree based和BBA两种方法比较不同序列的鉴定能力。结果显示：单片段ITS正确鉴定率最高,片段组合rbcL+matK正确鉴定率最高。支持CBOL植物工作组推荐的条码组合rbcL+matK可作为蒟蒻薯属物种鉴定的标准条码,建议ITS片段作为候选条码。丝须蒟蒻薯Tacca integrifolia采自西藏的居群与马来西亚居群形成了2个不同的遗传分支,且两者在形态上也存在一定的差异,很可能是一个新种。     

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。     

中国秋海棠属（秋海棠科）植物的DNA条形码评价

秋海棠属植物种类繁多,形态变异多样,导致种类的系统放置混乱,近缘种类鉴定困难。利用DNA条形码实现物种快速准确的鉴定技术具有不受形态特征约束的优势,为秋海棠属植物的分类鉴定提供了新的方法。本研究选择4个DNA条形码候选片段（rbcL,matK,trnH-psbA,ITS）对中国秋海棠属26种136个个体进行了分析。结果显示：叶绿体基因rbcL,matK和trnH-psbA种内和种间变异小,对秋海棠属植物的鉴别能力有限：ITS／ITS2种内和种间变异大,在本研究中物种正确鉴定率达到100％／96％,可考虑作为秋海棠属DNA条形码鉴定的候选片段。研究结果支持中国植物条形码研究组建议将核基因ITS／ITS2纳人种子植物DNA条形码核心片段中的观点。     

中国秋海棠属 (秋海棠科) 植物的DNA条形码评价

秋海棠属植物种类繁多,形态变异多样,导致种类的系统放置混乱,近缘种类鉴定困难。利用DNA条形码实现物种快速准确的鉴定技术具有不受形态特征约束的优势,为秋海棠属植物的分类鉴定提供了新的方法。本研究选择4个DNA条形码候选片段（rbcL,matK,trnH psbA,ITS）对中国秋海棠属26种136个个体进行了分析。结果显示：叶绿体基因rbcL,matK和trnH psbA种内和种间变异小,对秋海棠属植物的鉴别能力有限;ITS/ITS2种内和种间变异大,在本研究中物种正确鉴定率达到100%/96%,可考虑作为秋海棠属DNA条形码鉴定的候选片段。研究结果支持中国植物条形码研究组建议将核基因ITS/ITS2纳入种子植物DNA条形码核心片段中的观点。     

菊科橐吾属植物的DNA条形码研究（英文）

DNA条形码是一项利用短的、标准的DNA片段对物种进行快速、有效识别和鉴定的新技术。菊科橐吾属约140种,是典型的高山植物,种间杂交频繁,形态变异复杂,从形态学方面鉴定近缘种较为困难。本研究选取4个DNA核心条形码片段(ITS,matK,psb A-trnH和rbcL),对橐吾属35种144个个体进行条形码研究。研究结果显示叶绿体基因matK,psbA-trnH和rbcL在种内和种间变异都很小,对橐吾属的物种鉴定率极低;ITS在种间变异率相对较大,物种鉴定率为60%。而各片段联合后的物种鉴定率并未提高。     

植物物种的快速鉴定与iFlora: DNA条形码在马先蒿属中的应用

DNA条形码技术就是利用一段较短的标准DNA序列对物种进行快速鉴定。与基于植物外部形态特征的传统分类鉴定方法相比, DNA条形码具有高效、准确,且易于实现自动化和标准化的特点。马先蒿属（Pedicularis L.）植物具对生（轮生）叶的种类70%以上分布在中国,近缘种间形态上非常相似,鉴定较为困难。研究选取马先蒿属具对生（轮生）叶类群43种164份样品,利用叶绿体基因（rbcL、matK、trnH psbA）和核基因（ITS）条形码片段,采用建树法和距离法检验4个条形码对这些物种的鉴定效果。结果表明,ITS片段用于建树法和距离法的鉴别率分别为81.40%和89.57%,其鉴别率高于3个叶绿体基因片段和任一基因片段的组合条码。另外,利用ITS成功解决了一些疑难种的分类问题。DNA条形码在马先蒿属研究中的实用性为新一代植物志（iFlora）实现物种的快速和准确鉴定提供了有力支持,并能为分类学、生态学、进化生物学、居群遗传学和保护遗传学等分支学科的研究提供重要信息。     

亚热带森林乔木树种DNA条形码研究——以哀牢山自然保护区为例

作为新一代植物志iFlora的重要组成部分,DNA条形码已经成为物种鉴定中重要且有效的方法。本研究以亚热带森林的乔木树种为研究对象,开展了DNA条形码的尝试性工作。为评估DNA条形码对鉴定亚热带森林树种的有效性,收集并研究了来自哀牢山自然保护区内5l科111属中204个树种的525个乔木个体。结果显示,所选4个DNA片段（rbcL,matK,trnH-psbA和ITS）的PCR扩增成功率都超过90％;测序成功率rbcL和matK最高,分别为90．7％和90．5％,trnH-psbA次之（83．6％）,ITS最低（73．5％）,表明4个片段在亚热带森林乔木中都具有较好的通用性。应用BLAST与NJ Tree两种方法,对物种和属水平的鉴别成功率进行统计,发现单片段中ITS最高,分别为68．4％-81．3％和99．0％～100％,核心条码rkL和matK组合的成功率是52．8％～60．2％和86．7％～90．5％,再与补充条码trnH-psbA和ITS联合,可以成功鉴别74．7％～79．6％哀牢山自然保护区亚热带森林中的乔木物种。由于ITS片段在亚热带森林部分重要树种类群（樟科和壳斗科等）中的测序成功率较差,所以对这些植物类群采用trnH-psbA作为DNA条形码是一个更好的选择。     

植物物种的快速鉴定与iFlora：DNA条形码在马先蒿属中的应用

DNA条形码技术就是利用一段较短的标准DNA序列对物种进行快速鉴定。与基于植物外部形态特征的传统分类鉴定方法相比,DNA条形码具有高效、准确,且易于实现自动化和标准化的特点。马先蒿属（PedicularisL．）植物具对生（轮生）叶的种类70％以上分布在中国．近缘种间形态上非常相似,鉴定较为困难。研究选取马先蒿属具对生（轮生）叶类群43种164份样品,利用叶绿体基因（rbcL、matK、trnH-psbA）和核基因（ITS）条形码片段,采用建树法和距离法检验4个条形码对这些物种的鉴定效果。结果表明,ITS片段用于建树法和距离法的鉴别率分别为81．40％和89．57％,其鉴别率高于3个叶绿体基因片段和任一基因片段的组合条码。另外,利用ITS成功解决了一些疑难种的分类问题。DNA条形码在马先蒿属研究中的实用性为新一代植物志（iFlora）实现物种的快速和准确鉴定提供了有力支持,并能为分类学、生态学、进化生物学、居群遗传学和保护遗传学等分支学科的研究提供重要信息。     

地黄属植物的DNA条形码研究

地黄属(Rehmannia)为玄参科(Scrophulariaceae)药用植物,广泛分布于中国中东部及北部地区。由于地黄属植物经历了快速成种,导致其属内物种间形态性状差异较小,运用传统的形态学分类方法已难以准确地鉴定物种,近年来迅速发展起来的DNA条形码技术为快速、准确地鉴别物种提供了新思路。本研究选用3个叶绿体DNA非编码区片段(trn L-trn F、trn M-trn V和trn S-trn G)及核基因ITS片段,运用PWG-distance和TreeBuilding两种方法对地黄属5个物种75个个体进行了DNA条形码分析。结果表明:单个叶绿体DNA片段或核基因ITS片段对地黄属物种的鉴别率较低(0%~20%),组合的叶绿体DNA片段分辨能力虽然高于单个DNA片段,但并不能将地黄属5个物种完全区分开;trn S-trn G+ITS片段组合的分辨率可达100%,能够将地黄属5个物种准确区分,与所有叶绿体DNA片段和核基因ITS片段组合(trn L-trn F+trn M-trn V+trn S-trn G+ITS)的辨别率相同,因此推荐trn S-trn G+ITS作为地黄属植物的标准条形码。此外,利用DNA条形码鉴别物种时,可采用叶绿体DNA片段和核DNA片段组合的方法来提高物种鉴定的成功率。     

结合叶绿体和核DNA序列变异可提高云杉属物种的分子鉴别率

松科(Pinaceae)云杉属(Picea)植物是北半球广泛分布的重要森林树种,由于频繁的种间杂交渐渗及近期的辐射分化导致种间形态趋同,传统的形态学方法很难准确鉴定该属物种.近期兴起和发展的DNA条形码技术为云杉属物种的划分和鉴定提供了可参考的方法.在云杉属青藏高原种质资源收集过程完成后,选取5个叶绿体DNA片段(matK,rbcL,trnH-psbA,trnL-trnF和trnS-trnG)以及3个核DNA片段(4CL,Sb29和GI),利用PWG-distance和Tree-Building两种方法对青藏高原以及中国其他地区分布的19个云杉属物种83个个体进行了物种鉴别分辨率的评价.研究结果显示单个的叶绿体DNA片段(10.5％ ～26.3％)和核DNA片段(15.8％ ～26.3％)对云杉属物种鉴别的分辨率较低,组合的叶绿体DNA片段的分辨能力(15.8％ ～42.1％)虽然高于单个DNA片段,但分辨率最高的trnH-psbA+trnS-trnG和trnS-trnG+trn L-trnF两个组合也只能达到42.1％;组合的核DNA片段(26.3％ ～36.8％)一样对云杉属物种鉴别存在困难.但是叶绿体DNA片段和核DNA片段的组合可以明显提高对云杉属物种鉴定的分辨率,尤其是trnS-trnG+trn L-trnF+4Cl的组合片段,其分辨率可达到57.9％.因此在将来利用DNA条形码鉴别物种时,在常规DNA条形码片段不起作用的情况下,可采用这种叶绿体DNA片段和核DNA片段组合的方法来鉴定和区分植物物种.     

DNA barcoding of the main cultivated yams and selected wild species in the genus Dioscorea

Distinguishing yam species based on morphological traits is extremely difficult and unreliable, posing a challenge to breeders and genebank curators. Development of a molecular assay based on DNA barcoding can facilitate rapid and accurate identification of important Dioscorea species. To develop a DNA barcoding system forDioscorea species identification, the rbcL and matK loci (in unison and in combination), the non-coding intergenic spacer trnH-psbA of the chloroplast genome, and the nuclear ITS regions were investigated using criteria for developing candidate DNA barcodes. All DNA barcoding sequences were assessed for ease of PCR amplification, sequence quality and species discriminatory power. Amongst the markers investigated, the matK locus performed well in terms of species identification (63.2%), in addition to detecting high interspecific variation with mean divergence of 0.0196 (SD=0.0209). The combination of the two coding regions (rbcL + matK) was determined to be the optimal (76.2%) DNA barcoding approach as 16 out of 21 species could be defined. While the rbcL exhibited good PCR amplification efficiency and sequence quality, its species discriminatory power was relatively poor with 47.6% identification. Similarly, the trnH-psbA region had a weak discrimination efficiency of only 36.8%. While the development of more robust DNA barcoding systems is an ongoing challenge, our results indicate that therbcL + matK combination can be utilized as multi-locus DNA barcode regions for Dioscorea species identification.     

DNA条形码技术在植物中的研究现状

DNA条形码技术(DNA barcoding)是用短的DNA片段对物种进行识别和鉴定的分子生物学技术。在动物研究中该技术已经成功应用于利用线粒体细胞色素c氧化酶亚基I(COI)进行物种鉴定和发现隐种或新物种。相对于动物, COI基因在高等植物中进化速率较慢, 因此植物条形码研究以叶绿体基因组作为重点, 但目前还处于寻找合适的基因片段阶段。许多学者对此进行了积极的探索, 报道了多种植物条形码的候选片段或组合, 但还没有获得满足所有标准的特征位点片段。该文介绍了DNA条形码的标准、优点、工作流程及数据分析方法, 总结了DNA条形码在植物中的研究现状。     

Testing candidate plant barcode regions in the Myristicaceae

The concept and practice of DNA barcoding have been designed as a system to facilitate species identification and recognition. The primary challenge for barcoding plants has been to identify a suitable region on which to focus the effort. The slow relative nucleotide substitution rates of plant mitochondria and the technical issues with the use of nuclear regions have focused attention on several proposed regions in the plastid genome. One of the challenges for barcoding is to discriminate closely related or recently evolved species. The Myristicaceae, or nutmeg family, is an older group within the angiosperms that contains some recently evolved species providing a challenging test for barcoding plants. The goal of this study is to determine the relative utility of six coding (Universal Plastid Amplicon - UPA, rpoB, rpoc1, accD, rbcL, matK) and one noncoding (trnH-psbA) chloroplast loci for barcoding in the genus Compsoneura using both single region and multiregion approaches. Five of the regions we tested were predominantly invariant across species (UPA, rpoB, rpoC1, accD, rbcL). Two of the regions (matK and trnH-psbA) had significant variation and show promise for barcoding in nutmegs. We demonstrate that a two-gene approach utilizing a moderately variable region (matK) and a more variable region (trnH-psbA) provides resolution among all the Compsonuera species we sampled including the recently evolved C. sprucei and C. mexicana. Our classification analyses based on nonmetric multidimensional scaling ordination, suggest that the use of two regions results in a decreased range of intraspecific variation relative to the distribution of interspecific divergence with 95% of the samples correctly identified in a sequence identification analysis.     

Chloroplast genome sequences from total DNA for plant identification

Chloroplast DNA sequence data are a versatile tool for plant identification or barcoding and establishing genetic relationships among plant species. Different chloroplast loci have been utilized for use at close and distant evolutionary distances in plants, and no single locus has been identified that can distinguish between all plant species. Advances in DNA sequencing technology are providing new cost‐effective options for genome comparisons on a much larger scale. Universal PCR amplification of chloroplast sequences or isolation of pure chloroplast fractions, however, are non‐trivial. We now propose the analysis of chloroplast genome sequences from massively parallel sequencing (MPS) of total DNA as a simple and cost‐effective option for plant barcoding, and analysis of plant relationships to guide gene discovery for biotechnology. We present chloroplast genome sequences of five grass species derived from MPS of total DNA. These data accurately established the phylogenetic relationships between the species, correcting an apparent error in the published rice sequence. The chloroplast genome may be the elusive single‐locus DNA barcode for plants.     

From barcodes to genomes: extending the concept of DNA barcoding

DNA barcoding has had a major impact on biodiversity science. The elegant simplicity of establishing massive scale databases for a few barcode loci is continuing to change our understanding of species diversity patterns, and continues to enhance human abilities to distinguish among species. Capitalizing on the developments of next generation sequencing technologies and decreasing costs of genome sequencing, there is now the opportunity for the DNA barcoding concept to be extended to new kinds of genomic data. We illustrate the benefits and capacity to do this, and also note the constraints and barriers to overcome before it is truly scalable. We advocate a twin track approach: (i) continuation and acceleration of global efforts to build the DNA barcode reference library of life on earth using standard DNA barcodes and (ii) active development and application of extended DNA barcodes using genome skimming to augment the standard barcoding approach.     

Testing four barcoding markers for species identification of Potamogetonaceae

The pondweeds (Potamogetonaceae) are among the most important plant groups in the aquatic environment. Owing to their high morphological and ecological diversity, species identification of this aquatic family remains problematic. DNA barcoding involves sequencing a standard DNA region and has been shown to be a powerful tool for species identification. In the present study, we tested four barcoding markers (rbcL, matK, internal transcribed spacer (ITS), and trnH-psbA) in 15 Potamogeton species and two Stuckenia species, representing most species of the Potamogetonaceae in China. The results show that all four regions can distinguish and support the newly proposed genera of Stuckenia from Potamogeton. Using ITS and trnH-psbA, significant interspecific genetic variability was shown. However, intraspecific genetic variability of trnH-psbA is high and so it is not suitable for barcoding in Potamogetonaceae. The ITS and matK regions showed good discrimination. However, matK was not easy to sequence using universal primers. The best performing single locus was ITS, making it a potentially useful DNA barcode in Potamogetonaceae.     

The Preliminary Study on DNA Barcoding of Mosses——A Case of Part of Genera of Meteoriaceae

We compared the performances of the candidate loci for moss DNA barcoding and the primers used in amplifying the loci. Primers for three coded loci (matK, rps4 and rbcL a) and four non coded loci (atpB rbcL, atpF H, psbK I and trnH psbA) of the chloroplast genome, one from the mitochondrial genome (nad5), and one from the nucleus genome (ITS2) were evaluated. Seventy four samples representing 14 species belonging to five genera of Trachypodoaceae (or Meteoriaceae) were screened. All primers for matK and a pair of primers for trnH psbA failed. Low successes were encountered with the primers for atpF H and psbK I. The primers for psbK I produced several bands and the PCR products of atpF H were difficult to sequence. The powers of the remaining six loci were compared using the variability, identification success and the resolutions. It was found that ITS2 is the most promising candidate for DNA barcoding for mosses. Among the chloroplast genes, atpB rbcL exhibited the highest resolution. Although trnH psbA is very variable, it is too short to be an ideal barcode alone. Combinations of chloroplast genes were also tried and Ps of both atpB rbcL+trnH psbA and rbcL a++trnH psbA were 64% using NJ method. More additions of loci did not increase the resolution. No barcoding gap exists for all these loci. Phylogenetic analyses were carried out prior to the DNA barcoding evaluation and some taxonomic problems do exist. This study exemplifies the necessity of correct species delimitation and the adoption of both plastid and nuclear loci in plant DNA barcoding.     

Assessment of candidate plant DNA barcodes using the Rutaceae family

DNA barcoding is a rapidly developing frontier technology that is gaining worldwide attention.Here,seven regions (psbA-trnH,matK,ycf5,rpoC1,rbcL,ITS2,and ITS) with potential for use as DNA barcodes were tested for their ability to identify 300 samples of 192 species from 72 genera of the family Rutaceae.To evaluate each barcode’s utility for species authentication,PCR amplification efficiency,genetic divergence,and barcoding gaps were assessed.We found that the ITS2 region exhibited the highest inter-specific divergence,and that this was significantly higher than the intra-specific variation in the "DNA barcoding gap" assessment and Wilcoxon two-sample tests.The ITS2 locus had the highest identification efficiency among all tested regions.In a previous study,we found that ITS2 was able to discriminate a wide range of plant taxa,and here we confirmed that ITS2 was also able to discriminate a number of closely related species.Therefore,we propose that ITS2 is a promising candidate barcode for plant species identification.