细菌鉴定方法

细菌的分类鉴定与细菌的研究和应用有着同等重要的地位。准确地鉴定细菌类别,根据其菌种种类不同,分别针对肠杆菌、阳性球菌、非发酵菌等菌种设计不同药敏板条的抗生素组合,可以指导临床应用用药。目前,细菌分类鉴定方法主要包括表型鉴定法和分子遗传学鉴定法两大类,针对这两大类鉴定方法,汇总其生理生化分类特征,简述各方法采用的关键技术,针对各技术讨论其优缺点。同时详细研究了表型鉴定法下数值分类法中自动化鉴定涉及的算法,结合目前细菌鉴定方法,对细菌分类鉴定的发展趋势进行了总结和展望。     

DNA技术在海洋食品物种鉴定中的应用

随着分子生物学技术的发展, 海洋食品物种鉴定方法由原来的蛋白质水平深入到了DNA水平。目前应用于海洋食品物种鉴定的DNA技术主要是FINS(Forensically informative nucleotide sequencing)、PCR-RFLP和物种特异性PCR标记技术等, 能够实现对新鲜、冰冻、腌制或灌装食品物种进行鉴定, 而对混合样本的鉴定及量化分析是尚待解决的一个问题。基因数据库对物种鉴定的影响也越来越大, 是海洋加工食品物种鉴定可利用的另一种重要信息资源。文章综述了DNA技术在海洋食品物种鉴定中的应用研究进展, 并展望DNA技术在海洋食品检测中的发展趋势。     

A Novel Method of Automatic Plant Species Identification Using Sparse Representation of Leaf Tooth Features

Automatic species identification has many advantages over traditional species identification. Currently, most plant automatic identification methods focus on the features of leaf shape, venation and texture, which are promising for the identification of some plant species. However, leaf tooth, a feature commonly used in traditional species identification, is ignored. In this paper, a novel automatic species identification method using sparse representation of leaf tooth features is proposed. In this method, image corners are detected first, and the abnormal image corner is removed by the PauTa criteria. Next, the top and bottom leaf tooth edges are discriminated to effectively correspond to the extracted image corners; then, four leaf tooth features (Leaf-num, Leaf-rate, Leaf-sharpness and Leaf-obliqueness) are extracted and concatenated into a feature vector. Finally, a sparse representation-based classifier is used to identify a plant species sample. Tests on a real-world leaf image dataset show that our proposed method is feasible for species identification.     

蜜环菌生物种及鉴定方法研究进展

蜜环菌属真菌是一类重要的大型真菌,在全世界范围广泛分布。该属中有些种是重要的林木病原菌,有些种则具有很高的食药用价值。由于蜜环菌属真菌形态差异并不明显,缺乏分类特征,该属的分类和鉴定一直是大型真菌的研究热点。自从生物种的概念提出之后,蜜环菌的分类鉴定取得了突破性的进展,目前全球范围内已报道的蜜环菌生物种近40种;而对蜜环菌生物种的鉴定方法则包括了最初的形态学鉴定以及近些年发展起来的分子生物学鉴定方法。本文对当前世界范围内已经鉴定的蜜环菌生物种进行了梳理,并对蜜环菌生物种的鉴定方法的研究进展进行了综述,旨在为蜜环菌的研究提供参考。     

Taxonomic identification of algae (morphological and molecular): species concepts,methodologies, and their implications for ecological bioassessment

Algal taxonomy is a key discipline in phycology and is critical for algal genetics, physiology, ecology, applied phycology, and particularly bioassessment. Taxonomic identification is the most common analysis and hypothesis‐testing endeavor in science. Errors of identification are often related to the inherent problem of small organisms with morphologies that are difficult to distinguish without research‐grade microscopes and taxonomic expertise in phycology. Proposed molecular approaches for taxonomic identification from environmental samples promise rapid, potentially inexpensive, and more thorough culture‐independent identification of all algal species present in a sample of interest. Molecular identification has been used in biodiversity and conservation, but it also has great potential for applications in bioassessment. Comparisons of morphological and molecular identification of benthic algal communities are improved by the identification of more taxa; however, automated identification technology does not allow for the simultaneous analysis of thousands of samples. Currently, morphological identification is used to verify molecular taxonomic identities, but with the increased number of taxa verified in algal gene libraries, molecular identification will become a universal tool in biological studies. Thus, in this report, successful application of molecular techniques related to algal bioassessment is discussed.     

Drug metabolite profiling and identification by high-resolution mass spectrometry

Mass spectrometry plays a key role in drug metabolite identification, an integral part of drug discovery and development. The development of high-resolution (HR) MS instrumentation with improved accuracy and stability, along with new data processing techniques, has improved the quality and productivity of metabolite identification processes. In this minireview, HR-MS-based targeted and non-targeted acquisition methods and data mining techniques (e.g. mass defect, product ion, and isotope pattern filters and background subtraction) that facilitate metabolite identification are examined. Methods are presented that enable multiple metabolite identification tasks with a single LC/HR-MS platform and/or analysis. Also, application of HR-MS-based strategies to key metabolite identification activities and future developments in the field are discussed.     

我国进境植物检疫性有害生物检疫鉴定标准浅析

进境检疫性有害生物的检疫鉴定标准是检疫鉴定工作的重要参考依据,目前我国进境植物检疫性有害生物共计446种(属),并发布了479项相关检疫鉴定标准,覆盖了我国进境植物检疫性有害生物名录中的423种(属)有害生物。为了解我国检疫鉴定标准的制定发展现状、发现其中问题并及时改进,本文对现有检疫鉴定标准进行统计分析,并对其进行特点总结和问题剖析。目前我国检疫鉴定标准制定与修订工作快速发展,呈现不断更新、多方合作、方法多样化、综合化等特点,但我国检疫鉴定标准在完整性、现势性、规范性、创新性、体系规划性等方面仍存在一定的问题。因此,系统完善检疫鉴定标准,综合发展先进鉴定技术,加快建设标准化体系,有助于植物检疫工作的长足发展,对维护我国经济贸易及生物安全具有重要意义。     

Applications of graph theory in protein structure identification

There is a growing interest in the identification of proteins on the proteome wide scale. Among different kinds of protein structure identification methods, graph-theoretic methods are very sharp ones. Due to their lower costs, higher effectiveness and many other advantages, they have drawn more and more researchers' attention nowadays. Specifically, graph-theoretic methods have been widely used in homology identification, side-chain cluster identification, peptide sequencing and so on. This paper reviews several methods in solving protein structure identification problems using graph theory. We mainly introduce classical methods and mathematical models including homology modeling based on clique finding, identification of side-chain clusters in protein structures upon graph spectrum, and de novo peptide sequencing via tandem mass spectrometry using the spectrum graph model. In addition, concluding remarks and future priorities of each method are given.     

Novel method for identifying individual cetaceans using facial features and symmetry: A test case using dolphins

Individual identification plays a major role in our understanding of the biology, ecology and behavior in cetaceans. Being able to tell individuals apart can provide invaluable insight into basic biological and scientific questions, but is also highly relevant to science‐based conservation. Given the importance of individual identification, it appears vital to improve existing identification methods and find new ones. Here, we present a novel identification method of using facial information, with common bottlenose dolphins (Tursiops truncatus) as a case study. In dolphins, dorsal fins are typically used for identification, but not all individuals or species are sufficiently marked. We show that facial features in bottlenose dolphins are long‐term and consistent across the left and right sides, and may enable calves (which tend to have unmarked fins) to be re‐identified after weaning, thus increasing cross‐generational knowledge. This novel method can complement dorsal fin identification by helping document mark changes over time and reduce false negative or positive errors. It also shows that current identification methods can still be improved. With increasing prevalence of digital photography and computer‐aided matching, it may become more viable to use ‘unconventional’ means of identification. We encourage other researchers to explore their photographic records for similar discoveries.     

Rapid identification of bio-molecules applied for detection of biosecurity agents using rolling circle amplification

Detection and identification of pathogens in environmental samples for biosecurity applications are challenging due to the strict requirements on specificity, sensitivity and time. We have developed a concept for quick, specific and sensitive pathogen identification in environmental samples. Target identification is realized by padlock- and proximity probing, and reacted probes are amplified by RCA (rolling-circle amplification). The individual RCA products are labeled by fluorescence and enumerated by an instrument, developed for sensitive and rapid digital analysis. The concept is demonstrated by identification of simili biowarfare agents for bacteria (Escherichia coli and Pantoea agglomerans) and spores (Bacillus atrophaeus) released in field.     

Pondering Poi Dog: Place and racial identification of multiracial Native Hawaiians

Given the very large proportion of Hawaiians who are multiracial, our research examines Native Hawaiian identification in mixed-race Hawaiian families. We use the 1990 US Census, which affords a unique look at racial identification because multiracial people were required to choose one race over another. The results show support for our argument that place plays a central role in Pacific identity processes, illustrated in this case among Hawaiians. We find that strong ties to Hawai‘i – the spiritual and geographic home of the Hawaiian population – are vital to the intergenerational transmission of Hawaiian identification in both continental and island multiracial families. We compare our results for multiracial Native Hawaiians to prior studies of American Indians and Asian Americans to identify any general patterns in correlates of racial identification choices. In each group, we find that familial and geographic relationships to the cultural and ancestral lands are strongly linked to racial identification.     

Mnemonics are an Effective Tool for Adult Beginners Learning Plant Identification

Most beginners are introduced to plant diversity through identification keys, which develop differentiation skills but not species memorisation. We propose that mnemonics, memorable ‘name clues’ linking a species name with morphological characters, are a complementary learning tool for promoting species memorisation. In the first of two experiments, 64 adults in a group-learning environment were taught species identification using mnemonics, an educational card game and a text-based dichotomous key. In the second experiment, 43 adults in a self-directed learning environment were taught species identification using mnemonics and a pictorial dichotomous key. In both experiments, mnemonics produced the highest retention rates of species identification based on vegetative characters. The educational value of these findings is discussed for vegetative plant identification and broader applications.     

A probability matrix for the identification of gram-negative, aerobic, non-fermentative bacteria that grow on nutrient agar

Results of the identification of 621 strains of Gram-negative, aerobic, non-fermentative bacteria by a computer-based probabilistic method are given. Although many of the strains were atypical and have caused difficulty in identification in the medical diagnostic laboratory, the identification rate on this matrix was 91.5%.     

A revised probability matrix for the identification of gram-negative, aerobic, rod-shaped, fermentative bacteria

The results of the identification of 933 strains of Gram-negative, aerobic, rod-shaped, fermentative bacteria (Enterobacteriaceae, Pasteurellaceae, Vibrionaceae) by a probabilistic method, in a computer, are given. The identification rate on the matrix was 89.2%. Many of the strains were atypical and had caused difficulty in identification in medical diagnostic laboratories. The results are given for each taxon by genus and species.     

Protein identification and Peptide expression resolver: harmonizing protein identification with protein expression data

Proteomic discovery platforms generate both peptide expression information and protein identification information. Peptide expression data are used to determine which peptides are differentially expressed between study cohorts, and then these peptides are targeted for protein identification. In this paper, we demonstrate that peptide expression information is also a powerful tool for enhancing confidence in protein identification results. Specifically, we evaluate the following hypothesis: tryptic peptides originating from the same protein have similar expression profiles across samples in the discovery study. Evidence supporting this hypothesis is provided. This hypothesis is integrated into a protein identification tool, PIPER (Protein Identification and Peptide Expression Resolver), that reduces erroneous protein identifications below 5%. PIPER's utility is illustrated by application to a 72-sample biomarker discovery study where it is demonstrated that false positive protein identifications can be reduced below 5%. Consequently, it is recommended that PIPER methodology be incorporated into proteomic studies where both protein expression and identification data are collected.     

Transforming science: cancer gene identification

Methods for cancer gene discovery include identification of viral oncogenes, identification of genes associated with recurrent chromosomal aberrations, and screens for genes capable of the transformation of cells in culture. In recent years, the completed genome sequence of human and model organisms has markedly enhanced cancer gene identification. Whole genome, high-throughput screens have been facilitated by the advent of new technologies such as murine leukemia virus-based mutagenesis, Sleeping Beauty-based mutagenesis, RNA interference, exon re-sequencing, and high-resolution methods for detecting chromosomal amplifications and deletions; these, in turn, have led to the identification of novel tumor suppressors and oncogenes. The identification of genes that are altered by mutation or expression and which are directly involved in tumor initiation and maintenance will be instrumental for understanding cancer phenotypic variation and for identifying crucial therapeutic targets.     

Coordinated Parameter Identification Technique for the Inertial Parameters of Non-Cooperative Target

Space operations will be the main space missions in the future. This paper focuses on the precise operations for non-cooperative target, and researches of coordinated parameter identification (CPI) which allows the motion of multi-joints. The contents of this paper are organized: (1) Summarize the inertial parameters identification techniques which have been conducted now, and the technique based on momentum conservation is selected for reliability and realizability; (2) Elaborate the basic principles and primary algorithm of coordinated parameter identification, and analyze some special problems in calculation (3) Numerical simulation of coordinated identification technique by an case study on non-cooperative target of spacecraft mounting dual-arm with six joints is done. The results show that the coordinated parameter identification technique could get all the inertial parameters of the target in 3D by one-time identification, and does not need special configuration or driven joints, moreover the results are highly precise and save much more time than traditional ones.     

Current Status in Diagnosis of Scedosporium Infections: What Is the Impact of New Molecular Methods?

Scedosporium species are increasingly encountered as fungal pathogens. Species identification is important due to species-specific differences in epidemiology, antifungal susceptibility and virulence. Histology and culture-based identification are hampered by their low sensitivity and specificity. The use of new selective media has improved the recovery rate from clinical samples. Molecular methods, including multiplex PCR, PCR-RFLP analysis, DNA sequencing, oligonucleotide arrays, real-time PCR, rolling circle amplification, are increasingly used for species identification. Most recently, Matrix-Assisted Laser Desorption-Time of Flight Mass Spectrometry has been successfully applied as a tool for rapid identification of clinically relevant Scedosporium species. This review aims to summarize the methods currently used to guide the clinical microbiology laboratory in the selection of the most appropriate identification techniques. This will aid the laboratory in making a fast and reliable diagnosis that enables the clinician to make correct treatment choices.     

Optimization of Taxonomic Keys by Means of Probabilistic Modelling

At present biological systematics, i. e. classification and identification of organisms, is also a subject of the employment of mathematical methods. The topic of this paper is identification. One of the most important methods of identification is that by means of keys. Therefore a short review on the types of keys and their valuation is represented. Moreover there are discussed the essential properties of keys: reliability and velocity of identification. Further in connection with these two quantities probabilistic models are treated. The last part of the article deals with the optimization of keys concerning theory and practice of the problem.     

高通量细菌鉴定方法研究进展

高通量细菌鉴定是微生物领域的重要研究课题,对于疾病诊断和环境监测具有重要意义。相比传统的表型鉴定方法,分子遗传学鉴定方法具有稳定性高、检测周期短以及成本较低等特点,成为了主流的鉴定方法。特别是下一代DNA测序技术、核酸分子检测基础上的细菌检测芯片、质谱技术基础上的蛋白质图谱分析为高通量、快速、准确乃至定量的细菌鉴定提供了可行性方案。