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.     

线粒体COⅠ基因在昆虫DNA条形码中的研究与应用

自2003年DNA条形码(DNA barcodes)概念出现以来,DNA条形码技术(DNA barcoding)受到生物分类学领域普遍关注,线粒体细胞色素氧化酶亚基I(mtDNACOⅠ)被用作动物类群的主要条形码序列,基于该基因片段的昆虫条形码研究在国内外广泛开展。本文在概述DNA条形码、条形码技术及已开展的昆虫条形码研究计划的基础上,总结了昆虫mtDNACOⅠ条形码及其技术在发现和描述隐种、种类分子鉴定以及系统发育等方面的研究进展,分析了细胞核线粒体假基因(Numts)对mtDNACOⅠ条形码扩增的影响,提出检测和避免Numts的方法,并对DNA条形码技术的进一步研究和应用进行了讨论和展望。     

DNA宏条形码技术在海洋浮游动物多样性和生态学研究中的应用

浮游动物是海洋生态系统的关键类群,其覆盖门类广泛,多样性高。传统形态鉴定技术需要检测人员具备专业的形态鉴定知识,且费时费力。宏条形码技术无需分离生物个体,而是提取拖网采集到的浮游动物混合样本的总DNA,或者水体中的环境DNA （eDNA）,依托高通量测序平台测序,能够实现对大规模样本快速、准确、经济的分析,在海洋浮游动物生态学研究中得到越来越广泛的应用。分析了DNA宏条形码技术常用的核糖体和线粒体分子标记,在浮游动物多样性和数量研究中的可靠性和不足,并给出在海洋浮游动物群落监测,食物关系分析及生物入侵早期预警等研究中的应用。未来,开发多基因片段组合条形码,发展完备的参考数据库及实现准确的量化研究是DNA宏条形码技术发展的重要方向。     

基于DNA条形码技术构建王朗国家级自然保护区陆生脊椎动物遗传资源数据库及物种鉴定

DNA条形码(DNA barcode)是基因组中较短的、种内变异相对稳定的基因序列,已经成为生物多样性保护研究中物种鉴定、生物多样性评估的有力手段之一。四川王朗国家级自然保护区地处青藏高原东缘,属于世界生物多样性热点地区,具有丰富的生物资源,在我国珍稀动物保护领域具有重要地位。目前保护区已累积了大量的陆生脊椎动物监测数据,但缺乏遗传资源本底调查和基础的遗传资源数据库。本研究基于DNA条形码技术,以四川王朗国家级自然保护区为主要研究区域,基于样线法和博物馆标本调研,对所采集的314份样品进行DNA条形码分析,共鉴定兽类、鸟类、两栖类18目35科74种,首次获得了王朗齿突蟾(Scutigerwanglangensis)的线粒体基因(COI、12S-16S、16S、Cytb)及核基因(RAG1)的条形码序列信息,并通过比较不同监测方法说明了DNA条形码技术在动物多样性调查中的应用前景。本研究基于DNA条形码技术最终获得了216份DNA条形码数据,初步建立了保护区陆生脊椎动物遗传资源数据库,该数据库将为评估保护区生物多样性提供基础信息,为动物保护和管理工作提供技术支持。     

DNA条形码及其在生物多样性研究中的应用

DNA条形码是利用生物体内标准的、有足够变异的、易扩增且相对较短的DNA片段对物种进行快速准确鉴定的技术。自2003年DNA条形码相关概念提出以来广受关注,国内外相继开展了DNA条形码及信息系统建设研究,为DNA条形码技术的发展提供了坚实的研究基础和生物信息学分析平台。DNA条形码技术弥补了传统分类学的不足,为生物多样性研究提供了新的思路和方法。本文介绍了DNA条形码的产生与发展过程,国内外DNA条形码技术与信息系统建设研究进展,重点阐述了DNA条形码技术在物种鉴定、濒危物种保护、隐存种发现、生物多样性评估等研究领域中的应用。最后结合DNA条形码技术目前存在的问题,对其在相关研究领域的应用前景进行了展望。     

植物DNA条形码研究领域文献计量学及可视化分析

为全面了解植物DNA条形码研究领域的发展和最新动态,探讨中国DNA条形码发展的状态和前景,该文利用Web of Science数据库对该研究领域进行文献计量学统计,并对引用频次、研究热点和研究前沿进行了可视化分析。结果表明:(1)中国、美国、加拿大学者在该领域文献贡献率最大,中国研究机构发文量领先,但美国、加拿大科研机构论文质量较高,影响力较大。(2) 2009年是该领域研究的高峰期,该研究领域的前沿和研究热点主要集中在物种的识别和生物多样性应用、DNA条形码候选序列筛选和鉴定技术的规范化。(3)中国学者在植物DNA条形码领域研究具有领军作用和很高的影响力,国家提倡中药产业的发展也推动了我国DNA条形码蓬勃发展,但论文的质量和影响力与美国、英国、加拿大等发达国家研究还有一定差距,应加大与发达国家科研机构合作,提高研究能力,DNA条形码技术在植物的鉴定、分类和生物多样性的保护起到非常重要的作用。这表明建立一个更全面、通用的全球植物DNA条码库以及开发新的标记并采用新的测序技术是植物DNA条形码研究的未来前景。     

动物食性分析在生态学中的应用研究进展——基于DNA宏条形码技术

动物食性分析是动物营养生态学的重要研究手段,可用于解析动物与环境因素的关联性、捕食者与猎物之间的关系,以及动物物种多样性等科学问题。近年来,基于新一代测序技术的DNA宏条形码技术被广泛应用到生态学多个研究领域,极大地促进了生命科学交叉学科的发展。其中,DNA宏条形码技术在动物食性分析中具有高分辨、高效率、低样本量等优势,具有重要的应用前景。综述了基于DNA宏条形码技术的动物食性分析在生态学中的应用研究进展,并进一步总结了DNA宏条形码技术原理和食性分析方法,着重探讨了基于DNA宏条形码技术的动物食性分析在珍稀濒危动物保护、生物多样性监测、农业害虫防治等生态学研究领域中的应用,并对DNA宏条形码技术在动物食性分析中存在的问题及应用前景进行小结与展望。     

DNA条形码技术的研究进展及其应用

DNA条形码技术(DNA Barcod ing)是通过对一个标准目的基因的DNA序列进行分析从而进行物种鉴定的技术。这个概念的原理与零售业中对商品进行辨认的商品条形码是一样的。简单地说,DNA条形码技术的关键就是对一个或一些相关基因进行大范围的扫描,进而来鉴定某个未知的物种或者发现新种[1—3]。自从提出DNA条形码的概念以来,这种新兴分类学技术已经引起了越来越多的生物学家的关注。DNA条形码技术是分类学中辅助物种鉴定的新技术,它代表了生物分类学研究的一个新方向[4],因此它在生态、环境、食品等诸多领域都将会有广泛的应用[5]。本文概括综述了DNA条形码技术的发展历史、原理与操作,分析了其在生物分类中的应用及应用上的优势与限制,对DNA条形码技术在鱼类学研究的意义与可行性进行了探讨。1 DNA条形码技术的发展历史2003年,Herbert研究发现利用线粒体细胞色素C氧化酶亚基Ⅰ(M itochondrial cytochrom ecoxidase subun itⅠ,COⅠ)基因一段长度为648bp的片段,能够在DNA水平上成功的区分物种,并且认为利用COⅠ基因从分子演化的角度,将提供一种快速、简便、可信的分...     

DNA条形码及其在海洋浮游动物生态学研究中的应用

浮游动物的准确鉴定是浮游动物生态学研究的基础.传统的基于形态特征的鉴定不仅费时费力,而且部分类群特别是浮游幼体由于形态差异细微,鉴定存在困难,导致物种多样性被低估.DNA条形码(DNA barcodes)技术为浮游动物物种鉴定提供了一个有力工具,已迅速应用于海洋浮游动物生态学研究.本文介绍了DNA条形码的基本概念、优势及局限性,总结了该技术(主要是基于线粒体细胞色素C氧化酶第一亚基(mtCOI)基因序列片段的DNA条形码)在海洋浮游动物物种快速鉴定、隐种发现、营养关系研究、生物入侵种监测、群落历史演变反演、种群遗传学以及生物地理学中的成功应用.随着DNA条形码数据库信息量覆盖率的不断提高和新一代测序技术的快速发展,DNA条形码将提供除了种类鉴定外更加丰富的信息,从而帮助人们更好地理解海洋浮游动物的多样性及其在生态系统中的功能,推动海洋浮游动物生态学的发展.     

DNA条形码在生态学研究中的应用与展望

DNA条形码是利用标准的DNA片段对物种进行快速鉴定的技术,已在生物学各相关领域得到广泛应用。随着DNA条形码技术的不断发展和完善,已成功应用于生态学领域的相关研究中。本文综述了DNA条形码在物种快速鉴定和隐存种发现、群落系统发育重建和生态取证、群落内物种间相互关系研究等方面的应用,并介绍了DNAmetabarcoding技术和环境DNA条形码在生物多样性和生态学研究领域中的应用。最后,结合新的测序技术和未来大科学装置的发展,在相关数据库逐渐完善,新分析方法和计算模型不断开发使用的情景下,对DNA条形码在生态学相关领域的应用前景进行了展望。     

Environmental DNA metabarcoding: Transforming how we survey animal and plant communities

The genomic revolution has fundamentally changed how we survey biodiversity on earth. High‐throughput sequencing (“HTS”) platforms now enable the rapid sequencing of DNA from diverse kinds of environmental samples (termed “environmental DNA” or “eDNA”). Coupling HTS with our ability to associate sequences from eDNA with a taxonomic name is called “eDNA metabarcoding” and offers a powerful molecular tool capable of noninvasively surveying species richness from many ecosystems. Here, we review the use of eDNA metabarcoding for surveying animal and plant richness, and the challenges in using eDNA approaches to estimate relative abundance. We highlight eDNA applications in freshwater, marine and terrestrial environments, and in this broad context, we distill what is known about the ability of different eDNA sample types to approximate richness in space and across time. We provide guiding questions for study design and discuss the eDNA metabarcoding workflow with a focus on primers and library preparation methods. We additionally discuss important criteria for consideration of bioinformatic filtering of data sets, with recommendations for increasing transparency. Finally, looking to the future, we discuss emerging applications of eDNA metabarcoding in ecology, conservation, invasion biology, biomonitoring, and how eDNA metabarcoding can empower citizen science and biodiversity education.     

Robustness of Massively Parallel Sequencing Platforms

The improvements in high throughput sequencing technologies (HTS) made clinical sequencing projects such as ClinSeq and Genomics England feasible. Although there are significant improvements in accuracy and reproducibility of HTS based analyses, the usability of these types of data for diagnostic and prognostic applications necessitates a near perfect data generation. To assess the usability of a widely used HTS platform for accurate and reproducible clinical applications in terms of robustness, we generated whole genome shotgun (WGS) sequence data from the genomes of two human individuals in two different genome sequencing centers. After analyzing the data to characterize SNPs and indels using the same tools (BWA, SAMtools, and GATK), we observed significant number of discrepancies in the call sets. As expected, the most of the disagreements between the call sets were found within genomic regions containing common repeats and segmental duplications, albeit only a small fraction of the discordant variants were within the exons and other functionally relevant regions such as promoters. We conclude that although HTS platforms are sufficiently powerful for providing data for first-pass clinical tests, the variant predictions still need to be confirmed using orthogonal methods before using in clinical applications.     

metaBIT,an integrative and automated metagenomic pipeline for analysing microbial profiles from high‐throughput sequencing shotgun data

Micro‐organisms account for most of the Earth's biodiversity and yet remain largely unknown. The complexity and diversity of microbial communities present in clinical and environmental samples can now be robustly investigated in record times and prices thanks to recent advances in high‐throughput DNA sequencing (HTS). Here, we develop metaBIT, an open‐source computational pipeline automatizing routine microbial profiling of shotgun HTS data. Customizable by the user at different stringency levels, it performs robust taxonomy‐based assignment and relative abundance calculation of microbial taxa, as well as cross‐sample statistical analyses of microbial diversity distributions. We demonstrate the versatility of metaBIT within a range of published HTS data sets sampled from the environment (soil and seawater) and the human body (skin and gut), but also from archaeological specimens. We present the diversity of outputs provided by the pipeline for the visualization of microbial profiles (barplots, heatmaps) and for their characterization and comparison (diversity indices, hierarchical clustering and principal coordinates analyses). We show that metaBIT allows an automatic, fast and user‐friendly profiling of the microbial DNA present in HTS shotgun data sets. The applications of metaBIT are vast, from monitoring of laboratory errors and contaminations, to the reconstruction of past and present microbiota, and the detection of candidate species, including pathogens.     

Data structures and compression algorithms for high-throughput sequencing technologies

Background  

High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively short nucleotide sequences, in applications ranging from genome sequencing and resequencing to digital microarrays and ChIP-Seq experiments. As experiments scale up, HTS technologies create new bioinformatics challenges for the storage and sharing of HTS data.     

Multiplex sequencing of pooled mitochondrial genomes—a crucial step toward biodiversity analysis using mito-metagenomics

The advent in high-throughput-sequencing (HTS) technologies has revolutionized conventional biodiversity research by enabling parallel capture of DNA sequences possessing species-level diagnosis. However, polymerase chain reaction (PCR)-based implementation is biased by the efficiency of primer binding across lineages of organisms. A PCR-free HTS approach will alleviate this artefact and significantly improve upon the multi-locus method utilizing full mitogenomes. Here we developed a novel multiplex sequencing and assembly pipeline allowing for simultaneous acquisition of full mitogenomes from pooled animals without DNA enrichment or amplification. By concatenating assemblies from three de novo assemblers, we obtained high-quality mitogenomes for all 49 pooled taxa, with 36 species >15 kb and the remaining >10 kb, including 20 complete mitogenomes and nearly all protein coding genes (99.6%). The assembly quality was carefully validated with Sanger sequences, reference genomes and conservativeness of protein coding genes across taxa. The new method was effective even for closely related taxa, e.g. three Drosophila spp., demonstrating its broad utility for biodiversity research and mito-phylogenomics. Finally, the in silico simulation showed that by recruiting multiple mito-loci, taxon detection was improved at a fixed sequencing depth. Combined, these results demonstrate the plausibility of a multi-locus mito-metagenomics approach as the next phase of the current single-locus metabarcoding method.     

Microchip-based high-throughput screening analysis of combinatorial libraries

In recent years, there have been significant advances in biochemical assay miniturization and integration of microchip-based technologies with combinatorial library screening for high-throughput and large-scale applications. Small-molecule microarrays, protein arrays and cell-based arrays and conventional DNA arrays as well as microfluidic approaches in HTS are discussed in this review.     

DNA-based methods for monitoring invasive species: a review and prospectus

The recent explosion of interest in DNA-based tools for species identification has prompted widespread speculation on the future availability of inexpensive, rapid, and accurate means of identifying specimens and assessing biodiversity. One applied field that may benefit dramatically from the development of such technologies is the detection, identification, and monitoring of invasive species. Recent studies have demonstrated the feasibility of DNA-based tools for such important tasks as confirmation of specimen identity and targeted screening for known or anticipated invaders. However, significant technological hurdles must be overcome before more ambitious applications, including estimation of propagule pressure and comprehensive surveys of complex environmental samples, are to be realized. Here we review existing methods, examine the technical difficulties associated with development of more sophisticated tools, and consider the potential utility of these DNA-based technologies for various applications relevant to invasive species monitoring.     

A beginners guide to SNP calling from high-throughput DNA-sequencing data

High-throughput DNA sequencing (HTS) is of increasing importance in the life sciences. One of its most prominent applications is the sequencing of whole genomes or targeted regions of the genome such as all exonic regions (i.e., the exome). Here, the objective is the identification of genetic variants such as single nucleotide polymorphisms (SNPs). The extraction of SNPs from the raw genetic sequences involves many processing steps and the application of a diverse set of tools. We review the essential building blocks for a pipeline that calls SNPs from raw HTS data. The pipeline includes quality control, mapping of short reads to the reference genome, visualization and post-processing of the alignment including base quality recalibration. The final steps of the pipeline include the SNP calling procedure along with filtering of SNP candidates. The steps of this pipeline are accompanied by an analysis of a publicly available whole-exome sequencing dataset. To this end, we employ several alignment programs and SNP calling routines for highlighting the fact that the choice of the tools significantly affects the final results.     

Scaling up: A guide to high‐throughput genomic approaches for biodiversity analysis

The purpose of this review is to present the most common and emerging DNA‐based methods used to generate data for biodiversity and biomonitoring studies. As environmental assessment and monitoring programmes may require biodiversity information at multiple levels, we pay particular attention to the DNA metabarcoding method and discuss a number of bioinformatic tools and considerations for producing DNA‐based indicators using operational taxonomic units (OTUs), taxa at a variety of ranks and community composition. By developing the capacity to harness the advantages provided by the newest technologies, investigators can “scale up” by increasing the number of samples and replicates processed, the frequency of sampling over time and space, and even the depth of sampling such as by sequencing more reads per sample or more markers per sample. The ability to scale up is made possible by the reduced hands‐on time and cost per sample provided by the newest kits, platforms and software tools. Results gleaned from broad‐scale monitoring will provide opportunities to address key scientific questions linked to biodiversity and its dynamics across time and space as well as being more relevant for policymakers, enabling science‐based decision‐making, and provide a greater socio‐economic impact. As genomic approaches are continually evolving, we provide this guide to methods used in biodiversity genomics.     

Development of environmental DNA (eDNA) methods for detecting high-risk freshwater fishes in live trade in Canada

Preventing the arrival, establishment, and spread of aquatic invasive species is an important step in protecting our aquatic environments. The use of detection tools, like DNA barcoding technologies, high-throughput sequencing and environmental DNA (eDNA) monitoring, is becoming increasingly important in preventing the introduction of potential invasive species. The combination of eDNA with realtime PCR (qPCR) provide the opportunity to have a rapid and specific detection. In this study, we developed a DNA sequence library that has sufficient depth and species coverage such that high-risk species can be confidently discriminated from legitimately imported and native species. A total of 12 species-specific qPCR assays were developed for the detection of 13 potential invasive species (pAIS) in bulk water samples. Detection of these species was also compared with a HTS approach. We have demonstrated the high sensitivity of qPCR assays using eDNA at very low densities, suggesting we could detect a low number of individuals mixed with non-target species in a simulated live shipment. For the detection of a targeted list of species, qPCR is advantageous. The mini-barcodes developed in this project offered a good sensitivity of detection, and HTS is a discovery tool that can be desirable when unlisted or numerous species need to be identified.