DNA metabarcoding,one rapid and robust method using specific standard DNA fragments,has been widely used for rapid species identification of a bulk sample through high-throughput sequencing technologies.While it has been widely used in the studies of metagenomics,animal and plant biodiversity,it has gradually come to be used as a profitable method in species identification of mixed Chinese herbal medicines.In this paper,we mainly summarize the current studies of the application of DNA metabarcoding in species identification of mixed Chinese herbal medicines.Moreover,high-throughput sequencing technologies adopted in those studies,such as Sanger,the next-generation,and third-generation sequencing technologies,are discussed.It is conducted to provide a theoretical guidance for the application of DNA metabarcoding in species identification of mixed Chinese herbal medicines and in more other biodiversity studies.
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http://dx.doi.org/10.19540/j.cnki.cjcmm.2019.0001 | DOI Listing |
Nat Commun
January 2025
College of Chemistry, Nankai University, Tianjin, China.
Pathogenic intracellular bacteria pose a significant threat to global public health due to the barriers presented by host cells hindering the timely detection of hidden bacteria and the effective delivery of therapeutic agents. To address these challenges, we propose a tandem diagnosis-guided treatment paradigm. A supramolecular sensor array is developed for simple, rapid, accurate, and high-throughput identification of intracellular bacteria.
View Article and Find Full Text PDFJ Proteomics
January 2025
Embrapa Recursos Genéticos e Biotecnologia, PBI, Av. W/5 Norte Final CEP 70770917, Brazil. Electronic address:
The label-free shotgun proteomics analysis carried out in this study aimed to understand the molecular mechanisms that contribute towards tomato susceptibility to Xanthomonas euvesicatoria pv. perforans (Xep). To achieve this, comparative proteomics was performed on susceptible inoculated plants with the bacterium and the control group (saline solution) at 24 and 48 h after inoculation (hai).
View Article and Find Full Text PDFForensic Sci Int
January 2025
Departamento de Química. Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto. Universidade de São Paulo, Avenida Bandeirantes, 3900, Ribeirão Preto, São Paulo CEP 14040-901, Brazil; Instituto Nacional de Ciência e Tecnologia Ciências Forenses (INCT-Forense), Departamento de Química, Faculdade de Filosofia Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP 14040-901, Brasil; Programa de Cooperação Acadêmica - Segurança Pública e Ciências Forenses (PROCAD-SPCF), Departamento de Química, Faculdade de Filosofia Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP 14040-901, Brasil. Electronic address:
Forensic gemstone analysis faces many challenges. One of the most critical aspects of gemological research is the classification of a gemstone. It is necessary to understand the mineral species, purity, origin, and identification of treatments to identify and classify a gem correctly, as well as assign a monetary value to it.
View Article and Find Full Text PDFJ Mycol Med
January 2025
Aix-Marseille Université, SSA, AP-HM, RITMES, Marseille, France; IHU-Méditerranée Infection, Marseille, France.
Fungal rhinosinusal infections comprise several nosological entities, including sinus fungus ball. Diagnosis of sinus fungus ball relies on patient interrogation and clinical and paraclinical findings. Mold species commonly involved include Aspergillus, as well as dematiaceous fungi.
View Article and Find Full Text PDFComput Biol Med
January 2025
National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India. Electronic address:
The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining.
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