Species identification represents a pivotal component for large-scale biodiversity studies and conservation planning but represents a challenge for many taxa when using morphological traits only. Consequently, alternative identification methods based on molecular markers have been proposed. In this context, DNA barcoding has become a popular and accepted method for the identification of unknown animals across all life stages by comparison to a reference library. In this review we examine the progress of barcoding studies for the Crustacea using the Web of Science data base from 2003 to 2014. All references were classified in terms of taxonomy covered, subject area (identification/library, genetic variability, species descriptions, phylogenetics, methods, pseudogenes/numts), habitat, geographical area, authors, journals, citations, and the use of the Barcode of Life Data Systems (BOLD). Our analysis revealed a total number of 164 barcoding studies for crustaceans with a preference for malacostracan crustaceans, in particular Decapoda, and for building reference libraries in order to identify organisms. So far, BOLD did not establish itself as a popular informatics platform among carcinologists although it offers many advantages for standardized data storage, analyses and publication.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4714055 | PMC |
| http://dx.doi.org/10.3897/zookeys.539.6530 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The pharmacodynamic modulation effect of oxytocin on resting state functional connectivity network topology.
Front Pharmacol
January 2025
MOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
Introduction: Neuroimaging studies have demonstrated that intranasal oxytocin has extensive effects on the resting state functional connectivity of social and emotional processing networks and may have therapeutic potential. However, the extent to which intranasal oxytocin modulates functional connectivity network topology remains less explored, with inconsistent findings in the existing literature. To address this gap, we conducted an exploratory data-driven study.
View Article and Find Full Text PDFTransferBAN-Syn: a transfer learning-based algorithm for predicting synergistic drug combinations against echinococcosis.
Front Genet
January 2025
Key Laboratory of Intelligent Computing and Signal Processing, School of Artificial Intelligence, Anhui University, Hefei, China.
Echinococcosis is a zoonotic parasitic disease caused by the larvae of echinococcus tapeworms infesting the human body. Drug combination therapy is highly valued for the treatment of echinococcosis because of its potential to overcome resistance and enhance the response to existing drugs. Traditional methods of identifying drug combinations via biological experimentation is costly and time-consuming.
View Article and Find Full Text PDFBarcode medication administration system use and safety implications: a data-driven longitudinal study supported by clinical observation.
BMJ Health Care Inform
January 2025
Centre for Medicines Optimisation Research and Education-CMORE, University College London Hospitals NHS Foundation Trust, London, UK
Objectives: Barcode medication administration (BCMA) systems may improve patient safety with successful integration and use. This study aimed to explore the barriers and enablers for the successful use of a BCMA system by examining the patterns of medication and patient scanning over time and potential safety implications.
Methods: Retrospective longitudinal study informed by prospective clinical observations using data extracted from five hospital wards over the first 16 months after implementation to determine trends in medication and patient scanning rates, reasons for non-compliance and scanning mismatch alerts.
Analysis of longitudinal social media for monitoring symptoms during a pandemic.
J Biomed Inform
January 2025
School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058 China; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA. Electronic address:
Objective: Current studies leveraging social media data for disease monitoring face challenges like noisy colloquial language and insufficient tracking of user disease progression in longitudinal data settings. This study aims to develop a pipeline for collecting, cleaning, and analyzing large-scale longitudinal social media data for disease monitoring, with a focus on COVID-19 pandemic.
Materials And Methods: This pipeline initiates by screening COVID-19 cases from tweets spanning February 1, 2020, to April 30, 2022.
Fungal Planet description sheets: 1697-1780.
Fungal Syst Evol
December 2024
Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508 AD Utrecht, The Netherlands.
Novel species of fungi described in this study include those from various countries as follows: , from accumulated snow sediment sample. , on leaf spots of . , on submerged decaying wood in sea water, on , as endophyte from healthy leaves of .
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!