Unfortunately, the original article was online published with error in the results section. The error is correction by this erratum.
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Publisher Correction: A metagenomic catalogue of the ruminant gut archaeome.
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State Key Laboratory of Grassland and Agro-Ecosystems, International Centre for Tibetan Plateau Ecosystem Management, College of Ecology, Lanzhou University, Lanzhou, 730000, China.
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Xiamen Key Laboratory of Indoor Air and Health, Center for Excellence in Regional Atmospheric Environment, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Article Synopsis
- Antibiotic resistance genes (ARGs) from gut microbiota pose significant health risks and can be influenced by non-antibiotic factors like disease states, particularly in cases of cerebral ischemia-reperfusion injury (I/R) which is common in stroke patients.
- Changes in the gut antibiotic resistome during I/R show an increase in tetracycline ARGs while other types, like aminoglycoside and glycopeptide ARGs, decrease, suggesting a shift in microbial resistance profiles.
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The interplay of gut microbiota and heavy metals in multiple sclerosis patients.
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Department of Biology, Faculty of Science, Arak University, Arak, 38156-8-8349, Iran.
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- Multiple Sclerosis (MS) patients show significantly higher concentrations of heavy metals like arsenic, nickel, manganese, and zinc in their stool compared to healthy individuals, while levels of iron, lead, titanium, and tin are notably lower.
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Corrigendum: Investigating antimicrobial resistance genes in probiotic products for companion animals.
Front Vet Sci
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Department of Pharmacology and Toxicology, University of Veterinary Medicine, Budapest, Hungary.
[This corrects the article DOI: 10.3389/fvets.2024.
View Article and Find Full Text PDFAlevin-fry-atac enables rapid and memory frugal mapping of single-cell ATAC-seq data using virtual colors for accurate genomic pseudoalignment.
bioRxiv
December 2024
Department of Computer Science, University of Maryland - College Park.
Ultrafast mapping of short reads to transcriptomic and metagenomic references via lightweight mapping techniques such as pseudoalignment has demonstrated success in substantially accelerating several types of analyses without much loss in accuracy compared to alignment-based approaches. The application of pseudoalignment to large reference sequences - like the genome - is, however, not trivial, due to the large size of the references or "targets" (i.e.
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