11 Works

Data from: Persistent anthrax as a major driver of wildlife mortality in a tropical rainforest

Constanze Hoffmann, Fee Zimmermann, Roman Biek, Hjalmar Kuehl, Kathrin Nowak, Roger Mundry, Anthony Agbor, Samuel Angedakin, Mimi Arandjelovic, Anja Blankenburg, Gregory Brazolla, Katherine Corogenes, Emmanuel Couacy-Hymann, Tobias Deschner, Paula Dieguez, Karsten Dierks, Ariane Düx, Susann Dupke, Henk Eshuis, Pierre Formenty, Yisa Ginath Yuh, Annemarie Goedmakers, Jan Gogarten, Anne-Céline Granjon, Scott McGraw … & Fabian Leendertz
Anthrax is a globally significant animal disease and zoonosis. Despite this, current knowledge of anthrax ecology is largely limited to arid ecosystems, where outbreaks are most commonly reported. We reveal cryptic the dynamics of an anthrax causing agent, Bacillus cereus biovar anthracis, in a tropical rainforest with severe consequences for local wildlife communities. Using data and samples collected over three decades we found that rainforest anthrax is a persistent and widespread cause of death for...

A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Abstract Earth’s environments harbor complex consortia of microbes that affect processes ranging from host health to biogeochemical cycles. Understanding their evolution and function is limited by an inability to isolate genomes in a high-throughput manner. Here, we present a workflow for bacterial whole-genome sequencing using open-source labware and the OpenTrons robotics platform, reducing costs to approximately $10 per genome. We assess genomic diversity within 45 gut bacterial species from wild-living chimpanzees and bonobos. We quantify...

Additional file 1 of A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Additional file 1: Figure S1. Alluvial plot of protocol efficiency. Figure S2. Relationship between assembly quality and library concentration. Figure S3. Intraspecific nucleotide diversity. Figure S4. Genomic dissimilarity within 16S haplotypes.

Additional file 2 of A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Additional file 2: Table S1. Equipment sourcing and alternatives. Table S2. Sample information. Table S3. Culturing information. Table S4. Cost estimates.

Additional file 2 of A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Additional file 2: Table S1. Equipment sourcing and alternatives. Table S2. Sample information. Table S3. Culturing information. Table S4. Cost estimates.

Additional file 3 of A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Additional file 3. Isolate taxonomic information, genome assembly statistics, and other metadata.

Additional file 4 of A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Additional file 4. Review History.

Additional file 4 of A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Additional file 4. Review History.

A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Abstract Earth’s environments harbor complex consortia of microbes that affect processes ranging from host health to biogeochemical cycles. Understanding their evolution and function is limited by an inability to isolate genomes in a high-throughput manner. Here, we present a workflow for bacterial whole-genome sequencing using open-source labware and the OpenTrons robotics platform, reducing costs to approximately $10 per genome. We assess genomic diversity within 45 gut bacterial species from wild-living chimpanzees and bonobos. We quantify...

Additional file 3 of A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Additional file 3. Isolate taxonomic information, genome assembly statistics, and other metadata.

Additional file 1 of A low-cost genomics workflow enables isolate screening and strain-level analyses within microbiomes

Jon G. Sanders, Weiwei Yan, Deus Mjungu, Elizabeth V. Lonsdorf, John A. Hart, Crickette M. Sanz, David B. Morgan, Martine Peeters, Beatrice H. Hahn & Andrew H. Moeller
Additional file 1: Figure S1. Alluvial plot of protocol efficiency. Figure S2. Relationship between assembly quality and library concentration. Figure S3. Intraspecific nucleotide diversity. Figure S4. Genomic dissimilarity within 16S haplotypes.

Registration Year

  • 2022
    10
  • 2017
    1

Resource Types

  • Text
    6
  • Dataset
    3
  • Collection
    2

Affiliations

  • Lukuru Foundation
    11
  • University of Pennsylvania
    10
  • Washington University in St. Louis
    10
  • Emory University
    10
  • Franklin & Marshall College
    10
  • University of Montpellier
    10
  • Cornell University
    10
  • The Ohio State University
    1
  • University of Glasgow
    1
  • World Health Organization
    1