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节奏菌:丝状真菌生物钟周期分析的现代工具。

Rhythmidia: A modern tool for circadian period analysis of filamentous fungi.

机构信息

Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, United States of America.

出版信息

PLoS Comput Biol. 2024 Aug 5;20(8):e1012167. doi: 10.1371/journal.pcbi.1012167. eCollection 2024 Aug.

DOI:10.1371/journal.pcbi.1012167
PMID:39102446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11326708/
Abstract

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.

摘要

昼夜节律在生命的各个领域普遍存在,在许多层面上对调节生理和行为起着重要作用。这些节律以约 24 小时的周期发生,由一个核心分子振荡器驱动。生物钟使生物体能够通过安排其生长和内部过程来预测日常变化。粗糙脉孢菌是具有悠久生物钟生物学历史的模式生物,具有保守的真核生物钟特性和可观察的昼夜节律表型。衡量粗糙脉孢菌昼夜功能的核心方法是沿着细玻璃管(Race Tube)跟踪生长和孢子形成的方向的每日波动。虽然利用强大的表型读数很有用,但手动解释大规模 Race Tube 实验的输出可能很耗时且容易出错。为了为该领域提供分析 Race Tube 的有效工具,我们展示了 Rhythmidia,这是一个用 Python 编写的图形用户界面 (GUI) 工具,用于计算粗糙脉孢菌的昼夜周期和生长速率。Rhythmidia 是开源的,经过了当前最先进技术的基准测试,并且可以在 GitHub 上轻松访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/66bd70ef148f/pcbi.1012167.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/90b754193169/pcbi.1012167.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/6eb1303ad45e/pcbi.1012167.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/bc2a63cc693c/pcbi.1012167.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/66bd70ef148f/pcbi.1012167.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/90b754193169/pcbi.1012167.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/6eb1303ad45e/pcbi.1012167.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/bc2a63cc693c/pcbi.1012167.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fd/11326708/66bd70ef148f/pcbi.1012167.g004.jpg

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