Evidence map›Paper›PMID 39803504›Full record

ArticlebioRxiv : the preprint server for biology2025

Replication stress increases de novo CNVs across the malaria parasite genome.

Noah Brown, Aleksander Luniewski, Xuanxuan Yu, Michelle Warthan, Shiwei Liu, Julia Zulawinska, Syed Ahmad, Nadia Prasad, Molly Congdon, Webster Santos and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

12 authors.

Noah BrownUniversity of Virginia, Department of Biology, Charlottesville, VA, USA.ORCID 0009-0002-1284-0720
Aleksander LuniewskiUniversity of Virginia, Department of Biology, Charlottesville, VA, USA.
Xuanxuan YuUniversity of Florida, Department of Biostatistics, College of Public Health and Health Professions, Gainesville, FL, USA.ORCID 0000-0001-5807-5716
Michelle WarthanUniversity of Virginia, Department of Biology, Charlottesville, VA, USA.ORCID 0009-0002-4480-816X
Shiwei LiuUniversity of Virginia, Department of Biology, Charlottesville, VA, USA.
Julia ZulawinskaUniversity of Virginia, Department of Biology, Charlottesville, VA, USA.ORCID 0009-0003-9407-4640
Syed AhmadUniversity of Virginia, Department of Biology, Charlottesville, VA, USA.
Nadia PrasadUniversity of Virginia, Department of Biology, Charlottesville, VA, USA.
Molly CongdonVirginia Tech, Department of Chemistry, Blacksburg, VA, USA.
Webster SantosVirginia Tech, Department of Chemistry, Blacksburg, VA, USA.
Feifei XiaoUniversity of Florida, Department of Biostatistics, College of Public Health and Health Professions, Gainesville, FL, USA.ORCID 0000-0002-1597-4719
Jennifer L GulerUniversity of Virginia, Department of Biology, Charlottesville, VA, USA.ORCID 0000-0001-6301-4563

Funding

The evolution of copy number variations in the AT-rich Plasmodium genomeR01AI150856 · NIAID · UNIVERSITY OF VIRGINIA · PI GULER, JENNIFER LYNN · 2021 to 2025
$2.0M
NIAID NIH HHS R01 AI150856
6 · The paper itself

Abstract

Changes in the copy number of large genomic regions, termed copy number variations (CNVs), contribute to important phenotypes. CNVs are readily identified using conventional approaches when present in a large fraction of the cell population. However, CNVs in only a few genomes are often overlooked but important; if beneficial, a de novo CNV that arises in a single genome can expand during selection to create a population of cells with novel characteristics. While single cell methods for studying de novo CNVs are increasing, we continue to lack information about CNV dynamics in rapidly evolving microbial populations. Here, we investigated de novo CNVs in the genome of the

Identifiers

PMID39803504
PMCPMC11722320

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Registered trials

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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.