Rhythmidia:丝状真菌昼夜节律分析的现代工具。

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2024-08-05 eCollection Date: 2024-08-01 DOI:10.1371/journal.pcbi.1012167
Alex T Keeley, Jeffrey M Lotthammer, Jacqueline F Pelham
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引用次数: 0

摘要

昼夜节律在生物界中无处不在,在调节生理和行为的多个层面发挥着重要作用。这些节律以 ~24 小时为周期,由核心分子振荡器驱动。昼夜节律使生物能够通过对其生长和内部过程进行计时来预测每天的变化。蟋蟀神经孢子属(Neurospora crassa)是一种在昼夜节律生物学方面具有悠久历史的模式生物,它具有真核时钟的保守特性和可观察到的昼夜节律表型。测量神经孢子昼夜节律功能的核心方法是沿细玻璃管(赛跑管)跟踪生长和孢子形成方向的每日振荡。虽然利用强大的表型读数非常有用,但手工解释大规模竞赛管实验的输出结果既耗时又容易出现人为错误。为了给这一领域提供分析竞赛管的高效工具,我们推出了用 Python 编写的图形用户界面(GUI)工具 Rhythmidia,用于计算神经孢子菌的昼夜节律周期和生长速率。Rhythmidia 是开源的,已与当前最先进的工具进行了比对,并可在 GitHub 上轻松访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rhythmidia: A modern tool for circadian period analysis of filamentous fungi.

Circadian rhythms are ubiquitous across the kingdoms of life and serve important roles in regulating physiology and behavior at many levels. These rhythms occur in ~24-hour cycles and are driven by a core molecular oscillator. Circadian timekeeping enables organisms to anticipate daily changes by timing their growth and internal processes. Neurospora crassa is a model organism with a long history in circadian biology, having conserved eukaryotic clock properties and observable circadian phenotypes. A core approach for measuring circadian function in Neurospora is to follow daily oscillations in the direction of growth and spore formation along a thin glass tube (race tube). While leveraging robust phenotypic readouts is useful, interpreting the outputs of large-scale race tube experiments by hand can be time-consuming and prone to human error. To provide the field with an efficient tool for analyzing race tubes, we present Rhythmidia, a graphical user interface (GUI) tool written in Python for calculating circadian periods and growth rates of Neurospora. Rhythmidia is open source, has been benchmarked against the current state-of-the-art, and is easily accessible on GitHub.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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