Evidence map›Paper›PMID 38352550›Full record

ArticlebioRxiv : the preprint server for biology2024

Investigating low frequency somatic mutations in

Gus Waneka, Braden Pate, J Grey Monroe, Daniel B Sloan

Open access · greenAbstract 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Gus WanekaDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
Braden PateDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
J Grey MonroeDepartment of Plant Sciences, University of California, Davis, Davis, CA USA.ORCID 0000-0002-4025-5572
Daniel B SloanDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
Colorado State University · USUniversity of California, Davis · US

Funding

Mechanisms of mitochondrial mutation rate variation across eukaryotesR35GM148134 · NIGMS · COLORADO STATE UNIVERSITY · PI Daniel Benjamin Sloan · 2023 to 2026
$1.7M
NIGMS NIH HHS R35 GM148134
6 · The paper itself

Abstract

Mutations are the source of novel genetic diversity but can also lead to disease and maladaptation. The conventional view is that mutations occur randomly with respect to their environment-specific fitness consequences. However, intragenomic mutation rates can vary dramatically due to transcription coupled repair and based on local epigenomic modifications, which are non-uniformly distributed across genomes. One sequence feature associated with decreased mutation is higher expression level, which can vary depending on environmental cues. To understand whether the association between expression level and mutation rate creates a systematic relationship with environment-specific fitness effects, we perturbed expression through a heat treatment in

Identifiers

PMID38352550
PMCPMC10862904
OpenAlexW4391671404

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.