Spatial Segregation
Spatial Segregation - Related Videos
07:40
Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
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Cited by 27 •
2016
The role of assortment (spatial segregation) in evolutionary scenarios can be examined using simple microbial systems in the laboratory that allow controlled adjustment of spatial distribution. By modifying the founder cell density, various assortment levels can be visualized using fluorescently labelled bacterial strains in the colony biofilms of Bacillus subtilis.
02:15
Law of Segregation
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2026
When crossing pea plants, Mendel noticed that one of the parental traits would sometimes disappear in the first generation of offspring, called the F1 generation, and could reappear in the next generation (F2). He concluded that one of the traits must be dominant over the other, thereby causing masking of one trait in the F1 generation. When he crossed the F1 plants, he found that 75% of the offspring in the F2 generation had the dominant phenotype, while 25% had the recessive phenotype.
01:16
Segregation in Fresh Concrete
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2024
Segregation in fresh concrete is a phenomenon where the components of the concrete mix separate, leading to uneven distribution and compromised structural integrity. This separation typically occurs when concrete is subjected to excessive horizontal movement within forms, or when it is dropped from considerable heights or forced through narrow, winding paths. As a result, heavier coarse aggregate particles settle at the bottom, while lighter, finer materials such as cement and water rise to the...
06:21
Time-Lapse Imaging of Chromosome Segregation in Fluorescently Labeled Bacteria
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2026
Source: Schumacher, D., and Sogaard-Andersen, L. Fluorescence Live-cell Imaging of the Complete Vegetative Cell Cycle of the Slow-growing Social Bacterium Myxococcus xanthus. J. Vis. Exp. (2018)This video demonstrates the use of live-cell imaging to track fluorescently tagged chromosome origins during bacterial cell division. It captures chromosome segregation dynamics using time-lapse phase-contrast and fluorescence microscopy.
08:52
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Cited by 1 •
2025
This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
FAQs
Physical barriers restrict where organisms, cells, or molecules can travel, while limited movement reduces encounters between components in different locations. Over time, these constraints can preserve separate cellular compartments, tissue regions, or microbial zones. The resulting organization affects which cells or molecules can interact, helping determine local communication, competition, cooperation, and biological activity.
Selective adhesion keeps particular cells or molecules attached to preferred locations, whereas chemical gradients create changing conditions across space. Together, they can concentrate biological components in some regions and exclude them from others. These mechanisms connect position with function by influencing where signaling occurs and which neighboring components can respond or interact.
Location changes the frequency and type of interactions. Separation may reduce direct competition by keeping organisms or cells apart, but it can also limit cooperation when partners become distant. Conversely, localized activity can bring compatible components together. Examining these patterns therefore helps explain how shared biological environments support competing, cooperative, or disease-associated processes.
The relevant scale and biological actors change across systems. In tissues, spatial patterns can organize regions and cellular activities; within cells, compartments can separate molecules and processes; in microbial communities, location can structure interactions among organisms. Although the scales differ, each case links spatial arrangement to communication, activity, and the organization of the broader biological system.
Researchers examine spatial patterns using imaging and microscopy to observe where cells, molecules, or activities occur. Mathematical modeling can then help connect those locations with possible mechanisms and functional consequences. Combining observation with modeling supports interpretation of spatial organization, allowing investigators to relate visible patterns to communication, tissue structure, community organization, or disease progression.
Spatial analysis can show how organized locations support cellular communication and tissue function during development. It can also identify changes in organization associated with disease progression, including patterns relevant to tumor growth. By comparing location with biological activity, researchers can investigate whether altered spatial relationships accompany changes in signaling, interactions, or tissue organization.