Evidence map›Paper›PMID 37461510›Full record

ArticlebioRxiv : the preprint server for biology2023

Naturally segregating genetic variants contribute to thermal tolerance in a

Patricka A Williams-Simon, Camille Oster, Jordyn A Moaton, Ronel Ghidey, Enoch Ng'oma, Kevin M Middleton, Troy Zars, Elizabeth G King

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

8 authors.

Patricka A Williams-Simon
Camille Oster
Jordyn A Moaton
Ronel Ghidey
Enoch Ng'oma
Kevin M Middleton
Troy Zars
Elizabeth G King

Funding

MINORITY BIOMEDICAL RESEARCHERS TRAINING INITIATIVER25GM056901 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI HANNINK, MARK · 1999 to 2019
$8.4M
Coordinating nutrition and energy allocation: mechanisms and evolutionR01GM117135 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI KING, ELIZABETH GRIEP · 2016 to 2020
$1.6M
NIGMS NIH HHS R01 GM117135NIGMS NIH HHS R25 GM056901
6 · The paper itself

Abstract

Thermal tolerance is a fundamental physiological complex trait for survival in many species. For example, everyday tasks such as foraging, finding a mate, and avoiding predation, are highly dependent on how well an organism can tolerate extreme temperatures. Understanding the general architecture of the natural variants of the genes that control this trait is of high importance if we want to better comprehend how this trait evolves in natural populations. Here, we take a multipronged approach to further dissect the genetic architecture that controls thermal tolerance in natural populations using the Drosophila Synthetic Population Resource (DSPR) as a model system. First, we used quantitative genetics and Quantitative Trait Loci (QTL) mapping to identify major effect regions within the genome that influences thermal tolerance, then integrated RNA-sequencing to identify differences in gene expression, and lastly, we used the RNAi system to 1) alter tissue-specific gene expression and 2) functionally validate our findings. This powerful integration of approaches not only allows for the identification of the genetic basis of thermal tolerance but also the physiology of thermal tolerance in a natural population, which ultimately elucidates thermal tolerance through a fitness-associated lens.

Indexed as

Complex TraitsDSPRGene ExpressionQTLRNAiRNA-seqThermal Tolerance

Identifiers

PMID37461510
PMCPMC10350013

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.