Evidence map›Paper›PMID 31678592›Full record

ArticleGenomics2020

Selective whole genome amplification and sequencing of Coxiella burnetii directly from environmental samples.

Jill Hager Cocking, Michael Deberg, Jim Schupp, Jason Sahl, Kristin Wiggins, Ariel Porty, Heidie M Hornstra, Crystal Hepp, Claire Jardine, Tara N Furstenau and 3 more

Abstract read
In one paragraph

Article in Genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Targeted sequencing ofmSystems · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Correlating Genotyping Data ofPathogens (Basel, Switzerland) · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jill Hager CockingPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America. Electronic address: Jill.Cocking@nau.edu.
Michael DebergSchool of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America.
Jim SchuppPathogen and Microbiome Division, TGen North, Flagstaff, AZ, United States of America. Electronic address: jschupp@tgen.org.
Jason SahlPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America. Electronic address: Jason.Sahl@nau.edu.
Kristin WigginsPathogen and Microbiome Division, TGen North, Flagstaff, AZ, United States of America. Electronic address: kwiggins@tgen.org.
Ariel PortyDepartment of Biology, Laurentian University, Sudbury, Ontario, Canada. Electronic address: APorty@laurentian.ca.
Heidie M HornstraPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America. Electronic address: Heidie.Hornstra-ONeill@nau.edu.
Crystal HeppPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America. Electronic address: Crystal.Hepp@nau.edu.
Claire JardineDepartment of Pathobiology, University of Guelph, Guelph, Ontario, Canada. Electronic address: cjardi01@uoguelph.ca.
Tara N FurstenauSchool of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America. Electronic address: Tara.Furstenau@nau.edu.
Albrecht Schulte-HosteddeDepartment of Biology, Laurentian University, Sudbury, Ontario, Canada. Electronic address: aschultehostedde@laurentian.ca.
Viacheslav Y FofanovPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States of America. Electronic address: Viacheslav.Fofanov@nau.edu.
Talima PearsonPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States of America. Electronic address: Talima.Pearson@nau.edu.

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Julie A. Baldwin · 2017 to 2026
$49.7M
NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

Whole genome sequencing (WGS) is a widely available, inexpensive means of providing a wealth of information about an organism's diversity and evolution. However, WGS for many pathogenic bacteria remain limited because they are difficult, slow and/or dangerous to culture. To avoid culturing, metagenomic sequencing can be performed directly on samples, but the sequencing effort required to characterize low frequency organisms can be expensive. Recently developed methods for selective whole genome amplification (SWGA) can enrich target DNA to provide efficient sequencing. We amplified Coxiella burnetii (a bacterial select agent and human/livestock pathogen) from 3 three environmental samples that were overwhelmed with host DNA. The 68- to 147-fold enrichment of the bacterial sequences provided enough genome coverage for SNP analyses and phylogenetic placement. SWGA is a valuable tool for the study of difficult-to-culture organisms and has the potential to facilitate high-throughput population characterizations as well as targeted epidemiological or forensic investigations.

Indexed as

Genome, BacterialMetagenomeAnimalsCoxiella burnetiiFemaleGoatsMetagenomicsMilkPhylogenyPolymorphism, Single NucleotideWhole Genome SequencingCoxiella burnetiiSelective whole genome amplificationWhole genome sequencing

Identifiers

PMID31678592
PMCPMC7199880

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.