Evidence map›Paper›PMID 42405791›Full record

ArticleMicrobiology spectrum2026

Intraspecific diversity of

Ashley M Alexander, Hui Qi Loo, Lauren Askew, Vishnu Raghuram, Sarah W Satola, Timothy D Read, Joanna B Goldberg

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. 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

7 authors.

Ashley M AlexanderPopulation Biology, Ecology, and Evolution Program, Graduate Division of Biological Sciences, Laney Graduate School, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-1630-7798
Hui Qi LooDepartment of Biology, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-0390-9047
Lauren AskewBiochemistry, Cell and Developmental Biology Program, Graduate Division of Biological and Biomedical Sciences, Laney Graduate School, Emory University, Atlanta, Georgia, USA.
Vishnu RaghuramMicrobiology and Molecular Genetics Program, Graduate Division of Biological and Biomedical Sciences, Laney Graduate School, Emory University, Atlanta, Georgia, USA.
Sarah W SatolaDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-3059-0342
Timothy D ReadDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-8966-9680
Joanna B GoldbergDepartment of Pediatrics, Division of Pulmonary, Asthma, Cystic Fibrosis, and Sleep, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-5285-5188

Funding

Infectious Diseases Across Scales Training ProgramT32AI138952 · NIAID · EMORY UNIVERSITY · PI Jacobus de Roode · 2019 to 2026
$1.8M
Mechanisms of Staphylococcus aureus and Pseudomonas aeruginosa Co-existence in CFR21AI148847 · NIAID · EMORY UNIVERSITY · PI GOLDBERG, JOANNA B · 2020 to 2021
$420k
Cystic Fibrosis Foundation GOLDBE19I0NIAID NIH HHS R21 AI148847NIAID NIH HHS T32 AI138952NIH HHS R21 AI148847NIH HHS T32 AI138952
6 · The paper itself

Abstract

Long-term associations within an individual host allow bacterial populations to diversify over time, sometimes resulting in the coexistence of multiple species or variants of the same species. Traditional methods for identifying infective agents generally involve isolating a single pathogen and potentially even a single colony from a given sample. While screening samples for virulent or difficult-to-treat pathogens is an important part of informing clinical treatment and correlative research, these reductive methods alone do not provide researchers or healthcare providers with the potentially important perspective on the true pathogen population. In this study, we begin to address this limitation by comparing the phenotypic and genotypic diversity of single colonies and pooled isolates of IMPORTANCE: When obtaining bacterial isolates from infections, it is important to consider the ecological biases introduced by methods used for collection and processing. In this study, we demonstrate how reductive sampling and processing methods traditionally used by clinical microbiology labs often do not adequately capture complex and clinically relevant traits present in diverse pathogen populations. When treating or studying bacteria like

Indexed as

Cystic FibrosisRespiratory Tract InfectionsStaphylococcal InfectionsStaphylococcus aureusGenetic VariationGenotypeHumansPhenotypeSputumcystic fibrosisintraspecific diversitymicrobial ecology and evolutionStaphylococcus aureus

Identifiers

PMID42405791
PMCPMC13436340

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.