Evidence map›Paper›PMID 38948873›Full record

ArticlebioRxiv : the preprint server for biology2024

Population sequencing for diversity and transmission analyses.

Talima Pearson, Tara Furstenau, Colin Wood, Vanessa Rigas, Jason Sahl, Sara Maltinsky, Bart J Currie, Mark Mayo, Carina Hall, Paul Keim and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Talima PearsonPathogen &Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.ORCID 0000-0003-3696-041X
Tara FurstenauPathogen &Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Colin WoodPathogen &Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Vanessa RigasGlobal and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.
Jason SahlPathogen &Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Sara MaltinskyPathogen &Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Bart J CurrieGlobal and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.
Mark MayoGlobal and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.
Carina HallPathogen &Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Paul KeimPathogen &Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Viacheslav FofanovPathogen &Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Samantha Jane Sabo · 2017 to 2026
$49.7M
Leptospira prevalence, cycling, and infection in the peridomestic environmentR01AI172924 · NIAID · NORTHERN ARIZONA UNIVERSITY · PI Talima Ross Pearson · 2023 to 2026
$2.8M
Are Minority Health Disparities in MRSA/MSSA Infections Related to Carriage and Social Relationships?R15AI156771 · NIAID · NORTHERN ARIZONA UNIVERSITY · PI PEARSON, TALIMA ROSS · 2021 to 2021
$456k
NIAID NIH HHS R01 AI172924NIAID NIH HHS R15 AI156771NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

Genomic diversity in a pathogen population is the foundation for evolution and adaptations in virulence, drug resistance, pathogenesis, and immune evasion. Characterizing, analyzing, and understanding population-level diversity is also essential for epidemiological and forensic tracking of sources and revealing detailed pathways of transmission and spread. For bacteria, culturing, isolating, and sequencing the large number of individual colonies required to adequately sample diversity can be prohibitively time-consuming and expensive. While sequencing directly from a mixed population will show variants among reads, they cannot be linked to reveal allele combinations associated with particular traits or phylogenetic inheritance patterns. Here, we describe the theory and method of how population sequencing directly from a mixed sample can be used in conjunction with sequencing a very small number of colonies to describe the phylogenetic diversity of a population without haplotype reconstruction. To demonstrate the utility of population sequencing in capturing phylogenetic diversity, we compared isogenic clones to population sequences of

Identifiers

PMID38948873
PMCPMC11212992

What OpenQuestion holds

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LicenceCC BY
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.