JOURNAL ARTICLE

Covariance distributions in single particle tracking

Abstract

Several recent experiments, including our own experiments in the fission yeast, Schizosaccharomyces pombe, have characterized the motions of gene loci within living nuclei by measuring the locus position over time, then proceeding to obtain the statistical properties of this motion. To address the question of whether a population of such single-particle tracks, obtained from many different cells, corresponds to a single mode of diffusion, we derive theoretical equations describing the probability distribution of the displacement covariance, assuming the displacement itself is a zero-mean multivariate Gaussian random variable. We also determine the corresponding theoretical means, variances, and third central moments. Bolstering the theory is good agreement between its predictions and the results obtained for various simulated and measured data sets, including simulated particle trajectories undergoing simple and anomalous diffusion, and the measured trajectories of an optically trapped bead in water, and in a viscoelastic polymer solution. We also show that, for sufficiently long tracks, each covariance distribution in all of these examples is well-described by a skew-normal distribution with mean, variance, and skewness given by the theory. However, for the experimentally measured motion of a gene locus in S. pombe, we find that the first two covariance distributions are wider than predicted, although the third and subsequent covariance distributions are well-described by theory. This observation suggests that the origin of the theory-experiment discrepancy in this case is associated with localization noise, which influences only the first two covariances. Thus, we hypothesized that the discrepancy is caused by locus-to-locus heterogeneity in the localization noise, of independent measurements of the same tagged site. Indeed, simulations implementing heterogeneous localization noise revealed that the excess covariance widths can be largely recreated on the basis of heterogeneous noise. Thus, we conclude that the motion of gene loci in fission yeast is consistent with a single mode of diffusion.

Keywords:
Covariance Statistical physics Skewness Physics Gaussian Multivariate normal distribution Covariance matrix Mathematics Statistics Quantum mechanics Multivariate statistics

Metrics

7
Cited By
0.78
FWCI (Field Weighted Citation Impact)
48
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Wheat and Barley Genetics and Pathology
Life Sciences →  Agricultural and Biological Sciences →  Plant Science
Genetic Mapping and Diversity in Plants and Animals
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Genetics
Mycotoxins in Agriculture and Food
Life Sciences →  Agricultural and Biological Sciences →  Plant Science

Related Documents

JOURNAL ARTICLE

Covariance Tracking via Geometric Particle Filtering

Yunpeng LiuGuangwei LiZelin Shi

Journal:   EURASIP Journal on Advances in Signal Processing Year: 2010 Vol: 2010 (1)
BOOK-CHAPTER

Single Particle Tracking

Hendrik DeschoutKevin Braeckmans

Year: 2012 Pages: 2326-2327
BOOK-CHAPTER

Single Particle Tracking

Michael J. Saxton

Humana Press eBooks Year: 2009 Pages: 1-33
© 2026 ScienceGate Book Chapters — All rights reserved.