DNA条形码在鳞翅目昆虫中的应用

2003年,Hebert等提出DNA条形码后,快速而精确的特点使它在物种鉴定中得到了广泛的应用。鳞翅目是昆虫纲中第二大目,其物种鉴定任务复杂而艰巨,因此DNA条形码具有广阔的应用前景。该文主要针对DNA条形码概况以及近年来它在鳞翅目昆虫中的研究情况予以综述。     

DNA条形码技术在毒品原植物大麻鉴定中的应用

准确鉴定毒品原植物大麻的种属及品种具有重要的理论和实践意义。为了探讨DNA条形码技术用于毒品原植物大麻种属鉴定及品种鉴定的可行性,该研究以60份大麻原植物(分别采自内蒙、黑龙江、陕西延安、陕西榆林4个地区的栽培大麻雌雄各6株及新疆玛纳斯地区的野生大麻雌雄各6株)为材料,通过从其叶片中提取的DNA为模版,利用核糖体DNA基因间隔区的通用引物ITS2和叶绿体DNA的通用引物psbAtrnH进行PCR扩增,对扩增片段进行双向测序,将测序结果进行人工矫正和比对。结果显示:所有大麻样本的ITS2扩增片段序列没有变异完全一致,但psbA-trnH扩增片段变异较大共检测出8种cpDNA单倍型,用MEGE5.1软件计算种间遗传距离,并构建NJ系统聚类树可以有效把这五个地区的大麻样本区别开来,因此证明DNA条形码技术在毒品原植物大麻的种属鉴定方面具有可行性,但其用于大麻的种属鉴定的准确性、可靠性及在其来源地鉴定及品种鉴定中的可能性还有待进一步深入地研究。     

甘肃省鱼类资源现状及DNA条形码在鱼类物种鉴定中的应用

为了摸清甘肃省土著鱼类资源与分布现状, 探索DNA条形码在鱼类辅助物种鉴定中的适用性, 2012年6-9月对甘肃境内黄河水系、嘉陵江水系和河西内陆河水系进行了较全面的鱼类调查。共采集鱼类标本3,087尾, 隶属于5目10科38属64种, 以鲤科种类最多, 为30种, 占总种数的46.88%。物种多样性分析表明, 在黄河水系的夏河和庄浪河多样性指数是所有调查点中最低的, 分别为1.38和1.09。嘉陵江水系各河段的多样性指数较高(H = 2.15-3.27), 其次为河西内陆河水系(H = 2.01-2.83)。在河西内陆河水系中, 疏勒河的均匀度指数最高, 为1.10, 黑河最低(0.68)。庄浪河的优势度指数最高, 为0.34, 而嘉陵江干流两当段的优势度指数在所有调查点中最低, 为0.04。利用DNA条形码分析了49种662尾标本的COI基因部分序列, 大部分种类在neighbor-joining系统树中形成各自的单系, 种内平均遗传距离0.88%, 种间平均遗传距离为9.99%, 在种内和种间COI序列遗传距离之间形成明显的条形码间隙, 斯氏高原鳅(Triplophysa stoliczkae)与达里湖高原鳅(T. dalaica), 甘肃高原鳅(T. robusta)与似鲇高原鳅(T. siluroides), 嘉陵裸裂尻鱼(Schizopygopsis kialingensis)与黄河裸裂尻鱼(S. pylzovi)之间的遗传距离低于2%, 甘肃高原鳅与似鲇高原鳅不能通过COI基因片段区分开, 其他两对物种可以采用核苷酸诊断法来进一步区分。斯氏高原鳅和拉氏鱼岁(Phoxinus lagowskii)种内遗传分歧较大, 揭示种内可能存在隐存种。结果表明, 对某些近缘种和不同地理种群差异较大的物种, 要将分子、形态和地理分布特点结合起来才能准确鉴定。     

基于SRAP分子标记新疆野核桃的遗传多样性分析

利用SRAP分子标记技术对新疆野核桃遗传多样性进行分析。通过筛选出的15对具有多态性的SRAP引物组合进行PCR扩增,得到新疆野核桃遗传分化系数Gst为0.1152,说明新疆野核桃的遗传变异绝大部分存在于区域内部,占总变异的88.48%;多态位点百分率为94.07%,Shannon's信息指数I=0.4954,等位基因平均数Na=1.9454,表明新疆野核桃具有较高的遗传多样性;各区域间遗传相似系数在0.8981~0.9496之间,遗传距离在0.0553~0.1075之间,说明新疆野核桃资源间存在着丰富的遗传变异。通过聚类分析可聚为2类,进一步明确了新疆野核桃各区域之间的亲缘关系。     

植物DNA条形码技术的发展及应用

在对DNA条形码技术的发展过程进行归纳分析的基础上,对植物DNA条形码技术的研究进展、工作流程及分析方法、影响其鉴定准确性的因素及其在植物分类学研究中的应用现状及存在的争议进行了综合分析和阐述,并展望了植物DNA条形码技术的发展趋势及应用前景。通过具体实例说明将植物DNA条形码技术与传统植物学知识相结合可作为民族植物学的研究手段之一。认为:目前常用的植物DNA条形码主要有单一片段和多片段组合2种方式,这2种方式各有优缺点;常用的DNA序列有matK、trnH-psbA、rbcL和ITS等,但均有一定的局限性;针对不同的使用目的,应选择不同的植物DNA条形码标准;影响植物DNA条形码鉴定准确性的因素包括物种的类型和数量、系统树构建方法、杂交/基因渗入、物种起源时间的差异、分子进化速率差异等;当前植物DNA条形码研究工作的重点是选择合适的DNA片段并对其进行评价。     

基于草本群落、牧道特征对野果林放牧干扰强度的评价

客观、综合评价野果林放牧强度对正确认识林牧矛盾,制定科学合理的放牧制度具有重要意义。目前的研究主要集中在野果林放牧对植被群落特征和物种多样性影响上,然而野果林放牧活动本身的关注以及放牧强度的量化方法等方面尚不明确。基于此以新疆野果林6个典型放牧区为试验地,分析对比各放牧区的草本群落组成结构、生长特征、物种多样性以及牧道特征,并筛选出评价放牧干扰强度的主导因子,对其放牧干扰强度进行定量评价。结果表明:(1)草本群落特征方面,杏花沟物种数最多,且以禾本科种属植物为优势种;但莫乎儿沟草本密度比杏花沟高1.26%;各放牧区物种多样性水平存在显著差异,与其他放牧区相比,莫乎儿沟Shannon-Wiener多样性、Simpson优势度指数最高,分别为1.92、0.84,而吾都布拉克沟的Pielou均匀度指数最大;(2)牧道特征方面,伊勒格代沟的牧道密度显著大于匹里青沟,分别为19.23%、14.77%,而杏花沟的牧道宽度显著大于大西沟;在牧道分布格局上,除匹里青沟外,其他放牧区皆为均匀分布;(3)相关性分析表明草本群落结构特征、物种多样性水平及牧道特征指标间均存在较好的相关关系,对其12个指标主成分分析筛选出草本群落盖度、生物量、Shannon-Wiener多样性指数、Simpson优势度指数以及牧道密度与格局指数可作为评价放牧干扰强度的主导因子,依据牧压指数判定杏花沟与莫乎儿沟为轻、中度放牧干扰,大西沟、伊勒戈代沟、吾都布拉克沟与匹里青沟为重度或极度放牧干扰。当前新疆野果林整体受到放牧重度干扰,急需优化或者制定科学的放牧制度维护野果林的可持续发展。     

DNA barcoding Central Asian butterflies: increasing geographical dimension does not significantly reduce the success of species identification

DNA barcoding employs short, standardized gene regions (5' segment of mitochondrial cytochrome oxidase subunit I for animals) as an internal tag to enable species identification. Prior studies have indicated that it performs this task well, because interspecific variation at cytochrome oxidase subunit I is typically much greater than intraspecific variation. However, most previous studies have focused on local faunas only, and critics have suggested two reasons why barcoding should be less effective in species identification when the geographical coverage is expanded. They suggested that many recently diverged taxa will be excluded from local analyses because they are allopatric. Second, intraspecific variation may be seriously underestimated by local studies, because geographical variation in the barcode region is not considered. In this paper, we analyse how adding a geographical dimension affects barcode resolution, examining 353 butterfly species from Central Asia. Despite predictions, we found that geographically separated and recently diverged allopatric species did not show, on average, less sequence differentiation than recently diverged sympatric taxa. Although expanded geographical coverage did substantially increase intraspecific variation reducing the barcoding gap between species, this did not decrease species identification using neighbour-joining clustering. The inclusion of additional populations increased the number of paraphyletic entities, but did not impede species-level identification, because paraphyletic species were separated from their monophyletic relatives by substantial sequence divergence. Thus, this study demonstrates that DNA barcoding remains an effective identification tool even when taxa are sampled from a large geographical area.     

Integrative taxonomy at work: DNA barcoding of taeniids harboured by wild and domestic cats

In modern taxonomy, DNA barcoding is particularly useful where biometric parameters are difficult to determine or useless owing to the poor quality of samples. These situations are frequent in parasitology. Here, we present an integrated study, based on both DNA barcoding and morphological analysis, on cestodes belonging to the genus Taenia, for which biodiversity is still largely underestimated. In particular, we characterized cestodes from Italian wildcats (Felis silvestris silvestris), free‐ranging domestic cats (Felis silvestris catus) and hybrids populations. Adult taeniids were collected by post‐mortem examinations of the hosts and morphologically identified as Taenia taeniaeformis. We produced cox1 barcode sequences for all the analysed specimens, and we compared them with reference sequences of individuals belonging to the genus Taenia retrieved from GenBank. In order to evaluate the performance of a DNA barcoding approach to discriminate these parasites, the strength of correlation between species identification based on classical morphology and the molecular divergence of cox1 sequences was measured. Our study provides clear evidence that DNA barcoding is highly efficient to reveal the presence of cryptic lineages within already‐described taeniid species. Indeed, we detected three well‐defined molecular lineages within the whole panel of specimens morphologically identified as T. taeniaeformis. Two of these molecular groups were already identified by other authors and should be ranked at species level. The third molecular group encompasses only samples collected in Italy during this study, and it represents a third candidate species, still morphologically undescribed.     

DNA barcoding in closely related species: A case study of Primula L.sect.Proliferae Pax (Primulaceae) in China

DNA barcoding is a method of identifying species by analyzing one or a few short standardized DNA sequences. There are particular challenges in barcoding plants, especially for distinguishing closely related species. Hence, there is an urgent need to evaluate the performance of candidate loci for distinguishing between species, especially closely related species, to complement the rbcL + matK combination suggested as the core barcode for land plants. We sampled 48 individuals representing 12 species in Primula sect. Proliferae Pax in China to evaluate the performance of eight leading candidate barcode loci (matK, rbcL, rpoB, rpoCl, trnH-psbA, psbK-psbI, atpFatpH, and internal transcribed spacer (ITS)). The core combination rbcL + matK gave only 50% species resolution in sect. Proliferae. In terms of intraspecies and interspecies divergence, degree of monophyly, and sequence similarity, ITS, trnH-psbA, and psbK-psbI showed good performance as single-locus barcodes. Internal transcribed spacer displayed the highest genetic divergence and best discriminatory power, both alone and in combination with rbcL +matK (83.3% species resolution). We recommend evaluating the use of ITS for barcoding in other species. Low or single copy nuclear regions would provide more sophisticated barcoding tools in the long term, even though further research is required to find suitable loci.     

The efficacy of DNA barcoding in the classification,genetic differentiation,and biodiversity assessment of benthic macroinvertebrates

Macroinvertebrates have been recognized as key ecological indicators of aquatic environment and are the most commonly used approaches for water quality assessment. However, species identification of macroinvertebrates (especially of aquatic insects) proves to be very difficult due to the lack of taxonomic expertise in some regions and can become time‐consuming. In this study, we evaluated the feasibility of DNA barcoding for the classification of benthic macroinvertebrates and investigated the genetic differentiation in seven orders (Insecta: Ephemeroptera, Plecoptera, Trichoptera, Diptera, Hemiptera, Coleoptera, and Odonata) from four large transboundary rivers of northwest China and further explored its potential application to biodiversity assessment. A total of 1,144 COI sequences, belonging to 176 species, 112 genera, and 53 families were obtained and analyzed. The barcoding gap analysis showed that COI gene fragment yielded significant intra‐ and interspecific divergences and obvious barcoding gaps. NJ phylogenetic trees showed that all species group into monophyletic species clusters whether from the same population or not, except two species (Polypedilum. laetum and Polypedilum. bullum). The distance‐based (ABGD) and tree‐based (PTP and MPTP) methods were utilized for grouping specimens into Operational Taxonomic Units (OTUs) and delimiting species. The ABGD, PTP, and MPTP analysis were divided into 177 (p = .0599), 197, and 195 OTUs, respectively. The BIN analysis generated 186 different BINs. Overall, our study showed that DNA barcoding offers an effective framework for macroinvertebrate species identification and sheds new light on the biodiversity assessment of local macroinvertebrates. Also, the construction of DNA barcode reference library of benthic macroinvertebrates in Eurasian transboundary rivers provides a solid backup for bioassessment studies of freshwater habitats using modern high‐throughput technologies in the near future.     

Evaluating next‐generation sequencing (NGS) methods for routine monitoring of wild bees: Metabarcoding,mitogenomics or NGS barcoding

Implementing cost‐effective monitoring programs for wild bees remains challenging due to the high costs of sampling and specimen identification. To reduce costs, next‐generation sequencing (NGS)‐based methods have lately been suggested as alternatives to morphology‐based identifications. To provide a comprehensive presentation of the advantages and weaknesses of different NGS‐based identification methods, we assessed three of the most promising ones, namely metabarcoding, mitogenomics and NGS barcoding. Using a regular monitoring data set (723 specimens identified using morphology), we found that NGS barcoding performed best for both species presence/absence and abundance data, producing only few false positives (3.4%) and no false negatives. In contrast, the proportion of false positives and false negatives was higher using metabarcoding and mitogenomics. Although strong correlations were found between biomass and read numbers, abundance estimates significantly skewed the communities' composition in these two techniques. NGS barcoding recovered the same ecological patterns as morphology. Ecological conclusions based on metabarcoding and mitogenomics were similar to those based on morphology when using presence/absence data, but different when using abundance data. In terms of workload and cost, we show that metabarcoding and NGS barcoding can compete with morphology, but not mitogenomics which was consistently more expensive. Based on these results, we advocate that NGS barcoding is currently the seemliest NGS method for monitoring of wild bees. Furthermore, this method has the advantage of potentially linking DNA sequences with preserved voucher specimens, which enable morphological re‐examination and will thus produce verifiable records which can be fed into faunistic databases.     

DNA barcoding of Cymbidium by genome skimming: Call for next-generation nuclear barcodes

Cymbidium is an orchid genus that has undergone rapid radiation and has high ornamental, economic, ecological and cultural importance, but its classification based on morphology is controversial. The plastid genome (plastome), as an extension of plant standard DNA barcodes, has been widely used as a potential molecular marker for identifying recently diverged species or complicated plant groups. In this study, we newly generated 237 plastomes of 50 species (at least two individuals per species) by genome skimming, covering 71.4% of members of the genus Cymbidium. Sequence-based analyses (barcoding gaps and automatic barcode gap discovery) and tree-based analyses (maximum likelihood, Bayesian inference and multirate Poisson tree processes model) were conducted for species identification of Cymbidium. Our work provides a comprehensive DNA barcode reference library for Cymbidium species identification. The results show that compared with standard DNA barcodes (rbcL + matK) as well as the plastid trnH-psbA, the species identification rate of the plastome increased moderately from 58% to 68%. At the same time, we propose an optimized identification strategy for Cymbidium species. The plastome cannot completely resolve the species identification of Cymbidium, the main reasons being incomplete lineage sorting, artificial cultivation, natural hybridization and chloroplast capture. To further explore the potential use of nuclear data in identifying species, the Skmer method was adopted and the identification rate increased to 72%. It appears that nuclear genome data have a vital role in species identification and are expected to be used as next-generation nuclear barcodes.     

DNA barcoding in closely related species: A case study of Primula L. sect. Proliferae Pax (Primulaceae) in China

DNA barcoding is a method of identifying species by analyzing one or a few short standardized DNA sequences. There are particular challenges in barcoding plants, especially for distinguishing closely related species. Hence, there is an urgent need to evaluate the performance of candidate loci for distinguishing between species, especially closely related species, to complement the rbcL + matK combination suggested as the core barcode for land plants. We sampled 48 individuals representing 12 species in Primula sect. Proliferae Pax in China to evaluate the performance of eight leading candidate barcode loci (matK, rbcL, rpoB, rpoC1, trnH-psbA, psbK-psbI, atpF-atpH, and internal transcribed spacer (ITS)). The core combination rbcL+matK gave only 50% species resolution in sect. Proliferae. In terms of intraspecies and interspecies divergence, degree of monophyly, and sequence similarity, ITS, trnH-psbA, and psbK-psbI showed good performance as single-locus barcodes. Internal transcribed spacer displayed the highest genetic divergence and best discriminatory power, both alone and in combination with rbcL+matK (83.3% species resolution). We recommend evaluating the use of ITS for barcoding in other species. Low or single copy nuclear regions would provide more sophisticated barcoding tools in the long term, even though further research is required to find suitable loci.     

DNA barcoding herbaceous and woody plant species at a subalpine forest dynamics plot in Southwest China

Although DNA barcoding has been widely used to identify plant species composition in temperate and tropical ecosystems, relatively few studies have used DNA barcodes to document both herbaceous and woody components of forest plot. A total of 201 species (72 woody species and 129 herbaceous species) representing 135 genera distributed across 64 families of seed plants were collected in a 25 ha CForBio subalpine forest dynamics plot. In total, 491 specimens were screened for three DNA regions of the chloroplast genome (rbcL, matK, and trnH‐psbA) as well as the internal transcribed spacers (ITS) of nuclear ribosomal DNA. We quantified species resolution for each barcode separately or in combination using a ML tree‐based method. Amplification and sequencing success were highest for rbcL, followed by trnH‐psbA, which performed better than ITS and matK. The rbcL + ITS barcode had slightly higher species resolution rates (88.60%) compared with rbcL + matK (86.60%) and rbcL + trnH‐psbA (86.01%). The addition of trnH‐psbA or ITS to the rbcL + matK barcode only marginally increased species resolution rates, although in combination the four barcodes had the highest discriminatory power (90.21%). The situations where DNA barcodes did not discriminate among species were typically associated with higher numbers of co‐occurring con‐generic species. In addition, herbaceous species were much better resolved than woody species. Our study represents one of the first applications of DNA barcodes in a subalpine forest dynamics plot and contributes to our understanding of patterns of genetic divergence among woody and herbaceous plant species.     

Testing DNA barcoding in closely related groups of Lysimachia L. (Myrsinaceae)

It has been suggested that rbcL and matK are the core barcodes in plants, but they are not powerful enough to distinguish between closely related plant groups. Additional barcodes need to be evaluated to improve the level of discrimination between plant species. Because of their well-studied taxonomy and extreme diversity, we used Chinese Lysimachia (Myrsinaceae) species to test the performance of core barcodes (rbcL and matK) and two additional candidate barcodes (trnH-psbA and the nuclear ribosomal ITS); 97 accessions from four subgenus representing 34 putative Lysimachia species were included in this study. And many closely related species pairs in subgen. Lysimachia were covered to detect their discriminatory power. The inefficiency of rbcL and matK alone or combined in closely related plant groups was validated in this study. TrnH-psbA combined with rbcL + matK did not yet perform well in Lysimachia groups. In contrast, ITS, alone or combined with rbcL and/or matK, revealed high resolving ability in Lysimachia. We support ITS as a supplementary barcode on the basis of core barcode rbcL and matK. Besides, this study also illustrates several mistakes or underlying evolutionary events in Lysimachia detected by DNA barcoding.     

Identification of Belgian mosquito species (Diptera: Culicidae) by DNA barcoding

Since its introduction in 2003, DNA barcoding has proven to be a promising method for the identification of many taxa, including mosquitoes (Diptera: Culicidae). Many mosquito species are potential vectors of pathogens, and correct identification in all life stages is essential for effective mosquito monitoring and control. To use DNA barcoding for species identification, a reliable and comprehensive reference database of verified DNA sequences is required. Hence, DNA sequence diversity of mosquitoes in Belgium was assessed using a 658 bp fragment of the mitochondrial cytochrome oxidase I (COI) gene, and a reference data set was established. Most species appeared as well‐supported clusters. Intraspecific Kimura 2‐parameter (K2P) distances averaged 0.7%, and the maximum observed K2P distance was 6.2% for Aedes koreicus. A small overlap between intra‐ and interspecific K2P distances for congeneric sequences was observed. Overall, the identification success using best match and the best close match criteria were high, that is above 98%. No clear genetic division was found between the closely related species Aedes annulipes and Aedes cantans, which can be confused using morphological identification only. The members of the Anopheles maculipennis complex, that is Anopheles maculipennis s.s. and An. messeae, were weakly supported as monophyletic taxa. This study showed that DNA barcoding offers a reliable framework for mosquito species identification in Belgium except for some closely related species.     

DNA barcoding of bark and ambrosia beetles reveals excessive NUMTs and consistent east‐west divergence across Palearctic forests

A comprehensive DNA barcoding library is very useful for rapid identification and detection of invasive pest species. We tested the performance of species identification in the economically most damaging group of wood‐boring insects – the bark and ambrosia beetles – with particular focus on broad geographical sampling across the boreal Palearctic forests. Neighbour‐joining and Bayesian analyses of cytochrome oxidase I (COI) sequences from 151 species in 40 genera revealed high congruence between morphology‐based identification and sequence clusters. Inconsistencies with morphological identifications included the discovery of a likely cryptic Nearctic species of Dryocoetes autographus, the possible hybrid origin of shared mitochondrial haplotypes in Pityophthorus micrographus and P. pityographus, and a possible paraphyletic Xyleborinus saxeseni. The first record of Orthotomicus suturalis in North America was confirmed by DNA barcoding. The mitochondrial data also revealed consistent divergence across the Palearctic or Holarctic, confirmed in part by data from the large ribosomal subunit (28S). Some populations had considerable variation in the mitochondrial barcoding marker, but were invariant in the nuclear ribosomal marker. These findings must be viewed in light of the high number of nuclear insertions of mitochondrial DNA (NUMTs) detected in eight bark beetle species, suggesting the possible presence of additional cryptic NUMTs. The occurrence of paralogous COI copies, hybridization or cryptic speciation demands a stronger focus on data quality assessment in the construction of DNA barcoding databases.     

基于DNA条形码的物种丰富度估计: 以宿迁地区鳞翅目蛾类为例

为了探究基于DNA条形码方法量化物种多样性指标的可行性, 本研究以江苏省宿迁地区蛾类群落为例, 基于DNA条形码方法估计群落物种丰富度并绘制等级多度分布曲线(rank-abundance curves), 同时与基于传统形态学的对应指标进行比较。结果表明: (1)基于DNA条形码的物种丰富度估计与基于形态的物种丰富度估计之间没有显著差异; (2)基于形态和DNA条形码的等级多度分布曲线趋势一致, 通过K-S检测发现二者之间没有显著性差异(P > 0.05)。结果显示, 基于DNA条形码的物种丰富度估计能够在一定程度上补充基于形态学的方法, 可以尝试将其应用于蛾类群落生态学调查研究中。     

DNA barcoding of Gaultheria L.in China (Ericaceae: Vaccinioideae)

Four DNA barcoding loci,chloroplast loci rbcL,matK,trnH-psbA,and nuclear locus internal transcribed spacer (ITS),were tested for the accurate discrimination of the Chinese species of Gaultheria by using intraspecific and interspecific pairwise P-distance,Wilcoxon signed rank test,and tree-based analyses.This study included 186 individuals from 89 populations representing 30 species.For all individuals,single locus markers showed high levels of sequencing universality but were ineffective for species resolvability.Polymerase chain reaction amplification and sequencing were successful for all four loci.Both ITS and matK showed significantly higher levels of interspecific species delimitation than rbcL and trnH-psbA.A combination ofmatK and ITS was the most efficient DNA barcode among all studied regions,however,they do not represent an appropriate candidate barcode for Chinese Gaultheria,by which only 11 out of 30 species can be separated.Loci rbcL,matK,and trnH-psbA,which were recently proposed as universal plant barcodes,have a very poor capacity for species separation for Chinese Gaultheria.DNA barcodes may be reliable tools to identify the evolutionary units of this group,so further studies are needed to develop more efficient DNA barcodes for Gaultheria and other genera with complicated evolutionary histories.     

DNA barcoding of Murinae (Rodentia: Muridae) and Arvicolinae (Rodentia: Cricetidae) distributed in China

Identification of rodents is very difficult mainly due to high similarities in morphology and controversial taxonomy. In this study, mitochondrial cytochrome oxidase subunit I (COI) was used as DNA barcode to identify the Murinae and Arvicolinae species distributed in China and to facilitate the systematics studies of Rodentia. In total, 242 sequences (31 species, 11 genera) from Murinae and 130 sequences (23 species, 6 genera) from Arvicolinae were investigated, of which 90 individuals were novel. Genetic distance, threshold method, tree‐based method, online BLAST and BLOG were employed to analyse the data sets. There was no obvious barcode gap. The average K2P distance within species and genera was 2.10% and 12.61% in Murinae, and 2.86% and 11.80% in Arvicolinae, respectively. The optimal threshold was 5.62% for Murinae and 3.34% for Arvicolinae. All phylogenetic trees exhibited similar topology and could distinguish 90.32% of surveyed species in Murinae and 82.60% in Arvicolinae with high support values. BLAST analyses yielded similar results with identification success rates of 92.15% and 93.85% for Murinae and Arvicolinae, respectively. BLOG successfully authenticated 100% of detected species except Leopoldamys edwardsi based on the latest taxonomic revision. Our results support the species status of recently recognized Micromys erythrotis, Eothenomys tarquinius and E. hintoni and confirm the important roles of comprehensive taxonomy and accurate morphological identification in DNA barcoding studies. We believe that, when proper analytic methods are applied or combined, DNA barcoding could serve as an accurate and effective species identification approach for Murinae and Arvicolinae based on a proper taxonomic framework.