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实时高分辨率显微镜揭示了单细胞裂解如何塑造生物膜基质形态发生。

Real-time high-resolution microscopy reveals how single-cell lysis shapes biofilm matrix morphogenesis.

作者信息

Squyres Georgia R, Newman Dianne K

机构信息

Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.

Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125.

出版信息

bioRxiv. 2024 Oct 14:2024.10.13.618105. doi: 10.1101/2024.10.13.618105.

DOI:10.1101/2024.10.13.618105
PMID:39463994
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11507769/
Abstract

During development, multiscale patterning requires that cells organize their behavior in space and time. Bacteria in biofilms must similarly dynamically pattern their behavior with a simpler toolkit. Like in eukaryotes, morphogenesis of the extracellular matrix is essential for biofilm development, but how it is patterned has remained unclear. Here, we explain how the architecture of eDNA, a key matrix component, is controlled by single cell lysis events during biofilm development. We extend single-cell imaging methods to capture complete biofilm development, characterizing the stages of biofilm development and visualizing eDNA matrix morphogenesis. Mapping the spatiotemporal distribution of single cell lysis events reveals that cell lysis is restricted to a specific biofilm zone. Simulations indicate that this patterning couples cell lysis to growth, more uniformly distributing eDNA throughout the biofilm. Finally, we find that patterning of cell lysis is organized by nutrient gradients that act as positioning cues.

摘要

在发育过程中,多尺度模式形成要求细胞在空间和时间上组织其行为。生物膜中的细菌同样必须用更简单的工具包动态地模式化其行为。与真核生物一样,细胞外基质的形态发生对于生物膜的发育至关重要,但它是如何模式化的仍不清楚。在这里,我们解释了生物膜发育过程中,关键基质成分细胞外DNA(eDNA)的结构是如何由单细胞裂解事件控制的。我们扩展了单细胞成像方法以捕捉完整的生物膜发育过程,表征生物膜发育的阶段并可视化eDNA基质的形态发生。绘制单细胞裂解事件的时空分布表明,细胞裂解仅限于特定的生物膜区域。模拟表明,这种模式将细胞裂解与生长联系起来,使eDNA在整个生物膜中更均匀地分布。最后,我们发现细胞裂解的模式是由作为定位线索的营养梯度组织的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/2f1fac823cc7/nihpp-2024.10.13.618105v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/c3d10b4d6ade/nihpp-2024.10.13.618105v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/7a3064496ce4/nihpp-2024.10.13.618105v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/c02e8c451510/nihpp-2024.10.13.618105v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/2f1fac823cc7/nihpp-2024.10.13.618105v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/c3d10b4d6ade/nihpp-2024.10.13.618105v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/7a3064496ce4/nihpp-2024.10.13.618105v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/c02e8c451510/nihpp-2024.10.13.618105v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67e6/11507769/2f1fac823cc7/nihpp-2024.10.13.618105v1-f0004.jpg

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本文引用的文献

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Biofilms as more than the sum of their parts: lessons from developmental biology.生物膜不仅仅是其组成部分的总和:来自发育生物学的教训。
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Single-cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates.利用优化的深度学习方法对细菌生物膜中的单细胞进行分割,可实现细胞谱系追踪和生长速率测量。
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Spatial transcriptome uncovers rich coordination of metabolism in E. coli K12 biofilm.
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Nat Chem Biol. 2023 Aug;19(8):940-950. doi: 10.1038/s41589-023-01282-w. Epub 2023 Apr 13.
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