日本条螽不同地理种群雄性鸣声的比较研究(直翅目,露螽科)

主要研究了日本条螽Ducetia japonica(Thunberg)不同地理种群雄性的呜声特征。日本条螽重庆(北碚)种群与四川(美姑)种群雄性鸣声特征相似,这两个种群与陕西(关中)种群雄性鸣声特征差异较显著。同时,观察发现日本条螽四川(雅安)种群和陕西(关中)种群雄性发声器结构相似,与重庆(北碚)种群雄性发声器的结构差异较显著。     

ITS2序列在植物DNA条形码鉴定中的应用(综述)

DNA条形码技术的迅速发展极大地推动了植物的鉴定工作,随着鉴定工作的不断进行和新序列的不断发现,利用ITS2序列进行鉴定已成为目前较为广泛使用的鉴定技术。本文根据ITS2序列的特点和性质,介绍ITS2序列鉴定的一般过程,并分析其特点和存在问题,以期为植物鉴定方面的研究提供参考。     

DNA条形码在入侵植物鉴定中的应用进展

生物入侵对世界经济、环境造成了巨大的影响,已经成为世界关注的焦点。传统的海关检验方法存在鉴定缓慢、准确率低、鉴定专家稀缺等问题,因此急需一种鉴定率高、操作简单和快速的方法对入侵植物的繁殖体进行精确的鉴别。DNA条形码是一种基于DNA序列差异进行物种鉴定的技术,鉴定结果只受样品组织内DNA保存状况影响,不受形态学性状保存状态影响,只需掌握简单分子生物学技术的工作人员即可实现对未知样品的鉴定,在入侵植物检疫鉴定中有很大的应用潜力。根据入侵植物进化快、变异多的特点,可优先考虑种间、种内差异度高的ITS基因作为核心条形码,再以mat K和rbc L基因为辅助条形码。本文分析了植物DNA条形码技术及其衍生出的超级DNA条形码和metabarcoding技术在入侵植物鉴定中的应用潜力,提出构建入侵植物DNA条形码参考数据库与智能植物志(i Flora)相结合,为利用DNA条形码技术对入侵植物进行快速鉴定和相关研究提供参考。     

植物DNA条形码研究进展

DNA条形码(DNA barcoding)已成为近5年来国际上生物多样性研究的热点,即通过使用短的标准DNA片段,对物种进行快速、准确的识别和鉴定.该技术在动物研究中已得到广泛的应用,所采用的标准片段是线粒体COI基因中约650 bp长的一段.然而在植物中DNA条形码的研究进展相对缓慢,目前尚处于对所提议的各片段比较和评价阶段,还未获得一致的标准片段.由于植物中线粒体基因组进化速率较慢,因此条形码片段主要在叶绿体基因组上进行选择,被提议的编码基因片段主要有rpoB,rpoCI,matK,rbcL,UPA,非编码区片段有tmH-psbA,atpF-atpH,psbK-psbI,此外还有核基因ITS.已有的研究表明以上任何一个单片段都不足以区分所有植物物种,因而不同的研究组相继提出了不同的片段组合方案,目前被广泛讨论的组合主要有5种.本文综述了DNA条形码序列的优点、标准、工作流程、分析方法和存在的争议,重点论述了植物条形码研究中被提议的各序列片段和组合的研究现状.     

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。     

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。     

植物DNA条形码技术

DNA条形码技术是利用标准的、具有足够变异的、易扩增且相对较短的DNA片段在物种内的特异性和种间的多样性而创建的一种新的生物身份识别系统,从而实现对物种的快速自动鉴定。尽管这一技术在理论上和具体应用上仍存在很多争论。但DNA条形码概念自2003年由加拿大分类学家Paul Hebert首次提出后就在世界范围内受到了广泛关注。在植物类群中条形码的研究和应用尚处于探索阶段,稍落后于对动物类群的研究,这主要表现在：（1）DNA条形码的选择及其评价仍没有统一的标准：（2）对类群较全面的形态分类学修订和植物DNA条形码研究的结合十分缺乏：（3）以往研究在取样上尺度较大,而对具体类群的研究较少,一个科或一个属只用有限的种类作为代表,同一种内的取样个体数量也不足,这样虽然表面上看来利用选定的DNA条形码可以较容易地把代表物种区分开,但实际上目前建议的植物DNA条形码（例如由生命条形码咨询委员会植物工作组最近提出的rbcL和matK）由于其分子进化速率较慢,在种级水平上,特别是对于那些经历了适应辐射或快速进化的属来说,分辨率较低。而DNA条形码的应用主要集中在属内物种水平的鉴别,因此只有针对具体类群进行探索研究,发现进化速率较快、分辨率高且通用性好的条形码,才可能为建立完整的条形码数据库起到积极有效的作用。     

莪术基原植物DNA条形码序列的筛选与鉴定

为寻找适用于中药材莪术基原植物鉴定的DNA条形码序列,探索快速高效的莪术基原植物鉴定的新方法,该文首先利用扩增成功率和测序成功率对中药材莪术三种基原植物,9个样本的7种DNA条形码序列(ITS、ITS2、matK、psbA-trnH、trnL-trnF、rpoB和atpB-rbcL)进行评估,然后利用MEGA6.0软件...     

关于植物DNA条形码研究技术规范

DNA条形码是利用标准的基因片段对物种进行快速鉴定的技术,已经成功用于生物物种分类和鉴定、生态学调查和生物多样性评估等研究领域。尽管生命条形码数据（BOLD）系统提供了主要针对动物类群DNA条形码研究的技术规范,但由于植物本身的生物学特性与所使用的条形码不同,因此已有技术规范并不完全适用于植物DNA条形码的研究。本文根据植物DNA条形码研究的特点与我国的实际情况,编写了植物DNA条形码研究技术标准和规范指南,具体包括十个方面的内容,即植物DNA条形码研究的样品采集策略;植物标本和野外数据的采集规范;植物标本图像信息的采集规范;植物DNA材料的采集规范;植物DNA材料的干燥与保存规范;植物总DNA的质量标准及保存规范;植物标准DNA条形码的选择与通用引物;DNA条形码的扩增与测序;DNA条形码数据的命名、编辑和提交规范;以及DNA条形码数据分析。我们期望通过这些标准规范的实施和在实践中的不断修订和完善,能为我国学者开展植物DNA条形码和iFlora研究提供参考和借鉴。
关键词：植物DNA条形码;技术规范;物种鉴定;标准;新一代植物志     

DNA分析与基因组序列和植物系统学研究

从DNA杂交、RFLP分析、DNA的限制酶图谱分析等方面描述DNA分析技术在植物学研究中的应用,讨论了DNA分析技术与植物系统学的关系及分子数据的分析方法。并以高等植物为对象,从核DNA、叶绿体DNA和线粒体DNA三方面对植物分子系统学进行了论述。     

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.     

基于DNA条形码鉴定植物药常山及其混伪品

虎耳草科（Saxifragaceae）常山属（Dichroa）植物常山（Dichroa febrifuga Lour.）是我国著名的抗疟药物。但目前全国各地使用较为混乱,代用品、混淆品多,鉴定困难。本研究收集常山及其混伪品6种,共64份样品,利用DNA条形码和二维DNA条形码技术进行物种鉴定研究。研究结果表明,DNA条形码技术可准确鉴定常山及其混伪品,20%的常山样品存在混伪现象,混伪品主要为阔叶十大功劳（Mahonia bealei（Fort.） Carr.）。常山ITS2序列长度为230 bp,种内K2P遗传距离为0~0.0253,常山及其混伪品种间K2P遗传距离为0.152~0.748。基于ITS2序列构建的NJ树显示,常山及其混伪品能够明显区分,可为临床安全用药提供科学依据。成功构建常山的二维DNA条形码鉴定体系,实现“互联网+”的跨平台信息交换,可为二维DNA条形码技术在流通监管领域的实践应用提供理论基础。     

DNA barcoding discriminates the noxious invasive plant species, floating pennywort (Hydrocotyle ranunculoides L.f.), from non-invasive relatives

Floating pennywort (Hydrocotyle ranunculoides L.f.), a member of the plant family Araliaceae originating from North America, is an example of an invasive aquatic species posing serious problems to the management of waterways outside of its original distribution area in Australia and Western Europe. As a consequence, its import was banned in the Netherlands. It can be difficult to distinguish H. ranunculoides from other species of the genus on a morphological basis. In this regard, DNA barcoding may become a good alternative once this could be performed on a routine basis. In this study, we show that it is possible to distinguish H. ranunculoides from a series of closely related congeners by using a single plastid DNA sequence, trnH-psbA.     

DNA barcoding and phylogenetic analysis of midges belonging to Culicoides (Diptera: Ceratopogonidae) subgenus Hoffmania in Yunnan,China

DNA barcodes obtained from cytochrome c oxidase subunit 1 (cox1) offer a fast and easy way to identify a range of biological organisms. Culicoides (Diptera: Ceratopogonidae) are a group of small, blood sucking midges whose species are the vectors for some arboviruses, such as bluetongue virus, African horse sickness virus, epizootic hemorrhagic disease virus and equine encephalosis virus. Identification of these small insects is difficult so constructing DNA barcode libraries for species present in certain areas is helpful to clarify the taxonomy and assist non-specialist workers to identify species. In this study, we analysed specimens belonging to C. subgenus Hoffmania collected from 12 towns of Yunnan Province, China. Specimens were identified by morphology and processed to construct DNA barcodes. A total of 185 specimens referable to 6 morphological species were processed for cox1 and 28S rRNA sequencing. The resulting 185 cox1 sequences were assigned to 13 barcode index numbers (BINs) which include 9 novel BINs. Molecular and morphological evidence was used to support the transfer of 4 species previously assigned to C. subg. Avaritia into C. subg. Hoffmania. Molecular analysis revealed the presence of 7 potential cryptic species within C. innoxius, three within C. liui and two within C. insignipennis.     

DNA条形码分析方法研究进展

DNA条形码是一段短的、标准化的DNA序列,DNA条形码技术通过对DNA条形码序列分析实现物种的有效鉴定.随着生物DNA条形码序列的大量测定,DNA条形码分析方法得到迅速发展,推动了其在生物分子鉴定中的应用.2003年以来,DNA条形码技术已广泛应用于动物、植物和真菌等物种的鉴定,并有力地推动了生物分类学、生物多样性和生态学等学科的发展.本文在综述DNA条形码技术的基础上,总结了5类主要的DNA条形码分析方法,即基于遗传距离的分析、基于遗传相似度的分析、基于系统发育树的分析、基于序列特征的分析和基于统计分类法的分析,并进一步展望了DNA条形码技术的发展与应用.     

Phylogeography and genetic diversity of the widespread katydid Ducetia japonica (Thunberg, 1815) across China

Habitat fragmentation can lower migration rates and genetic connectivity among remaining populations of native species. Ducetia japonica is one of the most widespread katydids in China, but little is known about its genetic structure and phylogeographic distribution. We combined the five‐prime region of cytochrome c oxidase subunit I (COI‐5P), 11 newly developed microsatellite loci coupled with an ecological niche model (ENM) to examine the genetic diversity and population structure of D. japonica in China and beyond to Laos and Singapore. Both Bayesian inference (BI) and haplotype network methods revealed six mitochondrial COI‐5P lineages. The distribution of COI‐5P haplotypes may not demonstrate significant phylogeographic structure (N _ST > G _ST, p > .05). The STRUCTURE analysis based on microsatellite data also revealed six genetic clusters, but discordant with those obtained from COI‐5P haplotypes. For both COI‐5P and microsatellite data, Mantel tests revealed a significant positive correlation between geographic and genetic distances in mainland China. Bayesian skyline plot (BSP) analyses indicated that the population size of D. japonica''s three major mitochondrial COI‐5P lineages were seemingly not affected by last glacial maximum (LGM, 0.015–0.025 Mya). The ecological niche models showed that the current distribution of D. japonica was similar to the species’ distribution during the LGM period and only slightly extended in northern China. Further phylogeographic studies based on more extensive sampling are needed to identify specific locations of glacial refugia in northern China.     

Nuclear gene sequences and DNA variation of Cryptomeria japonica samples from the postglacial period

Genomic DNA was extracted from heartwood blocks of six Cryptomeria japonica individuals that had been buried (in an area now covered by rice fields) for about 3600 years. Attempts were made to determine the sequences of five nuclear genes following polymerase chain reaction amplification, using previously obtained C. japonica expressed sequence tag (EST) information. We detected 15 nucleotide substitutions and four insertion/deletions (indels) in a partial GapC gene sequence among 13 individuals of the buried and an extant population, which allowed us to estimate the extent of DNA variation within the buried populations, and the level of genetic differentiation between the buried population and the extant population growing in a neighbouring area. For the entire haplotypes of the GapC region, pi and theta nucleotide diversity estimates were 0.0063 and 0.0010, respectively, when both populations were included, while corresponding figures for the buried population alone were 0.0009 and 0.0017. Estimates of DNA divergence statistics (dXY = 0.0062, dA = 0.0005, FST = 0.0832 and KST = 0.0935) suggest that differentiation between the two populations was not great. However, permutation tests gave FST and KST values rejecting the null hypothesis (that populations were not differentiated) at the 5% and 1% probability levels, respectively. The significant genetic differentiation between the two populations was mainly caused by differences in haplotype diversity. The significant level of haplotype diversity in the extant population compared to the buried population might be the result of gene flow from neighbouring artificial forests. Alternatively, it is possible that we failed to detect all the DNA variation in the buried population because of clonal growth in the buried population.     

DNA barcoding discriminates echinoderm species

DNA barcode sequences (a 657-bp segment of the mtDNA cytochrome oxidase I gene, COI) were collected from 191 species (503 specimens) of Echinodermata. All five classes were represented: Ophiuroidea, Asteroidea, Echinoidea, Holothuroidea and Crinoidea. About 30% of sequences were collected specifically for this study, the remainder came from GenBank. Fifty-one species were represented by multiple samples, with a mean intraspecific divergence of 0.62%. Several possible instances of cryptic speciation were noted. Thirty-two genera were represented by multiple species, with a mean congeneric divergence of 15.33%. One hundred and eighty-seven of the 191 species (97.9%) could be distinguished by their COI barcodes. Those that could not were from the echinoid genus Amblypneustes. Neighbour-joining trees of COI sequences generally showed low bootstrap support for anything other than shallow splits, although with very rare exceptions, members of the same class clustered together. Two ophiuran species, in both nucleotide and amino acid neighbour-joining trees, grouped loosely as sister taxa to Crinoidea rather than Ophiuroidea; sequences of these two species appear to have evolved very quickly. Results suggest that DNA barcoding is likely to be an effective, accurate and useful method of species diagnosis for all five classes of Echinodermata.