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915 results for “metagenomics”
Data from: Metagenomic analysis reveals changes of the Drosophila suzukii microbiota in the newly colonised regions
The spotted wing drosophila, Drosophila suzukii (Matsumura) (Diptera: Drosophilidae) is a highly polyphagous pest of a wide variety of wild or cultivated berry and stone fruit. Originating from Southeast Asia, it has recently invaded a wide range of regions in Europe and North-America. It is well known that insect microbiotas may significantly influence several aspects of the host biology and play an important role in invasive species introduction into new areas. However, in spite of the great economic importance of D. suzukii, a limited attention has been given so far to its microbiota. In this study, we present the first in-depth characterization of gut bacterial diversity from field (native and invasive range) and lab-reared populations of this insect. The gut bacterial communities of field insects were dominated, regardless of their origin, by two families of the phylum Proteobacteria: Acetobacteraceae and Enterobacteriaceae, while Firmicutes, mainly represented by the family Staphylococcaceae, prevailed in lab-reared population. Locality was the most significant factor in shaping the microbiota of wild flies. Moreover, a negative correlation between diversity and abundance of Enterobacteriaceae and the time elapsed since the establishment of D. suzukii in a new region was observed. Altogether our results indicate that habitat, food resources as well as the colonization phase of a new region contribute to shape the bacterial communities of the invasive species which, in turn, by evolving more quickly, could influence host adaptation in a new environment.
Benchmark data for shotgun metagenomics
Open the record for dataset details and reuse information.
Supplementary material 1 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Geographic locations where samples were collected
Supplementary material 15 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Characteristics of each of the metagenomes found and their comparison with available genomes
Supplementary material 4 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Pathogens and endosymbionts present in each tick
Supplementary material 16 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Gene quantity analysis by COG clusters in MAGs, available genomes, and C. burnetii
Supplementary material 8 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Abundance of taxonomy at the genus level within the domains of Bacteria and Archaea
Supplementary material 14 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Relative abundance by sample of resistence marker
Supplementary material 13 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Relative abundance by sample of virulence factors
Supplementary material 2 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Visual representation illustrating the methods utilized in the analysis discussed in the article
Supplementary material 11 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Abundance of taxonomy of endosymbionts and pathogens
Supplementary material 6 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Metadata and metagenomic information of collected samples
Supplementary material 9 from: Paez-Triana L, Herrera G, Vega L, Garcia-Corredor D, Pulido Medellín MO, Paniz-Mondolfi A, Muñoz M, Ramírez JD (2023) Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia. Metabarcoding and Metagenomics 7: e109085. https://doi.org/10.3897/mbmg.7.109085
Abundance of taxonomy at the Family level within the domains of Bacteria and Archaea
Supplementary material 4 from: Sickel W, Zizka V, Scherges A, Bourlat SJ, Dieker P (2023) Abundance estimation with DNA metabarcoding – recent advancements for terrestrial arthropods. Metabarcoding and Metagenomics 7: e112290. https://doi.org/10.3897/mbmg.7.112290
Evaluation of methodological approaches
Supplementary material 2 from: Sickel W, Zizka V, Scherges A, Bourlat SJ, Dieker P (2023) Abundance estimation with DNA metabarcoding – recent advancements for terrestrial arthropods. Metabarcoding and Metagenomics 7: e112290. https://doi.org/10.3897/mbmg.7.112290
Literature collection
Supplementary material 1 from: Sickel W, Zizka V, Scherges A, Bourlat SJ, Dieker P (2023) Abundance estimation with DNA metabarcoding – recent advancements for terrestrial arthropods. Metabarcoding and Metagenomics 7: e112290. https://doi.org/10.3897/mbmg.7.112290
Background information
Supplementary material 3 from: Sickel W, Zizka V, Scherges A, Bourlat SJ, Dieker P (2023) Abundance estimation with DNA metabarcoding – recent advancements for terrestrial arthropods. Metabarcoding and Metagenomics 7: e112290. https://doi.org/10.3897/mbmg.7.112290
Categories assessed in the literature review
Finding Candida auris in public metagenomic repositories
<p><i>Candida auris</i> is a newly emerged multidrug-resistant fungus capable of causing invasive infections with high mortality. Despite intense efforts to understand how this pathogen rapidly emerged and spread worldwide, its environmental reservoirs are poorly understood. Here, we present a collaborative effort between the U.S. Centers for Disease Control and Prevention, the National Center for Biotechnology Information, and GridRepublic (a volunteer computing platform) to identify <i>C. auris</i> sequences in publicly available metagenomic datasets. We developed the MetaNISH pipeline that uses SRPRISM to align sequences to a set of reference genomes and computes a score for each reference genome. We used MetaNISH to scan ~300,000 SRA metagenomic runs from 2010 onwards and identified five datasets containing <i>C. auris</i> reads. Finally, GridRepublic has implemented a prospective <i>C. auris </i>molecular monitoring system using MetaNISH and volunteer computing.</p>
Supplementary material 1 from: Schimani K, Abarca N, Skibbe O, Mohamad H, Jahn R, Kusber W-H, Campana GL, Zimmermann J (2023) Exploring benthic diatom diversity in the West Antarctic Peninsula: insights from a morphological and molecular approach. Metabarcoding and Metagenomics 7: e110194. https://doi.org/10.3897/mbmg.7.110194
Statistic results
Supplementary material 2 from: Schallenberg LA, Thomson-Laing G, Kelly D, Pearman JK, Howarth JD, Vandergoes MJ, Puddick J, Fitzsimons S, Rees A, Wood SA (2023) Insights into the ecological impact of trout introduction in an oligotrophic lake using sedimentary environmental DNA. Metabarcoding and Metagenomics 7: e111467. https://doi.org/10.3897/mbmg.7.111467
Supplementary data 2
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.