Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The nuclear ribosomal internal transcribed spacer (ITS) region is the most commonly chosen genetic marker for the molecular identification of fungi in environmental sequencing and molecular ecology studies. Several analytical issues complicate such efforts, one of which is the formation of chimeric-artificially joined-DNA sequences during PCR amplification or sequence assembly. Several software tools are currently available for chimera detection, but rely to various degrees on the presence of a chimera-free reference dataset for optimal performance. However, no such dataset is available for use with the fungal ITS region. This study introduces a comprehensive, automatically updated reference dataset for fungal ITS sequences based on the UNITE database for the molecular identification of fungi. This dataset supports chimera detection throughout the fungal kingdom and for full-length ITS sequences as well as partial (ITS1 or ITS2 only) datasets. The performance of the dataset on a large set of artificial chimeras was above 99.5%, and we subsequently used the dataset to remove nearly 1,000 compromised fungal ITS sequences from public circulation. The dataset is available at http://unite.ut.ee/repository.php and is subject to web-based third-party curation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4462924PMC
http://dx.doi.org/10.1264/jsme2.ME14121DOI Listing

Publication Analysis

Top Keywords

comprehensive automatically
8
automatically updated
8
dataset
8
environmental sequencing
8
molecular identification
8
identification fungi
8
chimera detection
8
reference dataset
8
performance dataset
8
dataset fungal
8

Similar Publications

Brain activation for language and its relationship to cognitive and linguistic measures.

Cereb Cortex

August 2025

Faculty of Psychology and Education Science, Department of Psychology, University of Geneva, Chemin des Mines 9, Geneva, 1202, Switzerland.

Language learning and use relies on domain-specific, domain-general cognitive and sensory-motor functions. Using fMRI during story listening and behavioral tests, we investigated brain-behavior associations between linguistic and non-linguistic measures in individuals with varied multilingual experience and reading skills, including typical reading participants (TRs) and dyslexic readers (DRs). Partial Least Square Correlation revealed a main component linking cognitive, linguistic, and phonological measures to amodal/associative brain areas.

View Article and Find Full Text PDF

Background And Aims: Previous cardiac implantable electronic devices (CIEDs) automatically monitored, diagnosed, and stored atrial or ventricular tachyarrhythmias as intracardiac electrograms (EGMs). Abbott's new-generation CIEDs offer pre-event EGM storage (Pre-EGM), recording cardiac electrical activity before arrhythmic events. This study determines whether Pre-EGM provides additional diagnostic information for arrhythmic events.

View Article and Find Full Text PDF

Objective: Developmental dyslexia (DD) has been related to deficits in multiple cognitive skills. Phonological processing deficits are the most frequently reported in opaque orthographies, but there are few studies of transparent orthographies, such as Spanish. The aim of this study was to comprehensively explore possible deficiencies in cognitive functions in Spanish-speaking Mexican children with DD, to determine whether these deficits can explain problems with decoding fluency and accuracy, and analyze whether they provide support for some of the explanatory hypotheses of DD.

View Article and Find Full Text PDF

Genome-scale metabolic models (GEMs) are widely used in systems biology to investigate metabolism and predict perturbation responses. Automatic GEM reconstruction tools generate GEMs with different properties and predictive capacities for the same organism. Since different models can excel at different tasks, combining them can increase metabolic network certainty and enhance model performance.

View Article and Find Full Text PDF

Enhancing D retention index accuracy: Correcting D retention time shifts in GC×GC due to modulation timing deviations via line detection technology.

Anal Chim Acta

November 2025

School of Pharmacy, Tongji Medical College, Huazhong University of Science & Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, PR China. Electronic address:

Even small deviations in modulation timing (DMT) can cause discrepancies between the originally set modulation period (P) and the actual P in comprehensive two-dimensional gas chromatography (GC × GC) analysis. This study explored the impact of DMT on the accuracy of the second dimensional retention time (t) and the second dimensional retention index (I) calculations and introduced a line detection technology (LDT) based on the Hough Transform to correct DMT-induced t shifts. The correction was achieved by automatically adjusting candidate P values until the slope of the line(s) (CB_line(s)) formed by column bleeding compound peaks in the isothermal section of the contour plot approached zero, thereby determining the actual P.

View Article and Find Full Text PDF