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Experimental and Mathematical-Modeling Characterization of Trypanosoma cruzi Epimastigote Motility.

Sosa-Hernández E, Ballesteros-Rodea G, Arias-Del-Angel JA, Dévora-Canales D, Manning-Cela RG, Santana-Solano J, Santillán M - PLoS ONE (2015)

Bottom Line: The present work is aimed at characterizing the motility of parasite T. cruzi in its epimastigote form.Based on the resulting observations, we developed a mathematical model to simulate parasite trajectories.The fact that the model predictions closely match most of the experimentally observed parasite-trajectory characteristics, allows us to conclude that the model is an accurate description of T. cruzi motility.

View Article: PubMed Central - PubMed

Affiliation: Unidad Monterrey, Centro de Investigación y de Estudios Avanzados del IPN, Apodaca NL, México.

ABSTRACT
The present work is aimed at characterizing the motility of parasite T. cruzi in its epimastigote form. To that end, we recorded the trajectories of two strains of this parasite (a wild-type strain and a stable transfected strain, which contains an ectopic copy of LYT1 gene and whose motility is known to be affected). We further extracted parasite trajectories from the recorded videos, and statistically analysed the following trajectory-step features: step length, angular change of direction, longitudinal and transverse displacements with respect to the previous step, and mean square displacement. Based on the resulting observations, we developed a mathematical model to simulate parasite trajectories. The fact that the model predictions closely match most of the experimentally observed parasite-trajectory characteristics, allows us to conclude that the model is an accurate description of T. cruzi motility.

No MeSH data available.


Related in: MedlinePlus

Persistent-motion and tumbling times for the wild-type strain.a) Plot of instantaneous speed vs. time for a typical trajectory. The times at which persistent-motion and tumbling segments begin are respectively indicated with green and red triangles. b) Experimentally determined (dots) and best-fitting distributions (solid lines) for the persistent-motion and tumbling residence times.
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pone.0142478.g004: Persistent-motion and tumbling times for the wild-type strain.a) Plot of instantaneous speed vs. time for a typical trajectory. The times at which persistent-motion and tumbling segments begin are respectively indicated with green and red triangles. b) Experimentally determined (dots) and best-fitting distributions (solid lines) for the persistent-motion and tumbling residence times.

Mentions: After smoothing all of the obtained parasite trajectories, we computed for each one of them the step lengths (Δri), and the average speed per step vi = Δri/Δt—Δt = 1/30s. In Fig 4a, we can observe a typical speed vs. time plot, corresponding to a wild-type parasite, whereas in Fig 5a the time evolution of the speed of a typical genetically-modified epimastigote is plotted. Notice that, in both cases, the speed fluctuates between two well separated ranges. By visually comparing with the parasite trajectories, we figured out that the two speed ranges correspond to different motility modes which, in accordance to similar studies on T. brucei [13, 14], we call persistent and tumbling.


Experimental and Mathematical-Modeling Characterization of Trypanosoma cruzi Epimastigote Motility.

Sosa-Hernández E, Ballesteros-Rodea G, Arias-Del-Angel JA, Dévora-Canales D, Manning-Cela RG, Santana-Solano J, Santillán M - PLoS ONE (2015)

Persistent-motion and tumbling times for the wild-type strain.a) Plot of instantaneous speed vs. time for a typical trajectory. The times at which persistent-motion and tumbling segments begin are respectively indicated with green and red triangles. b) Experimentally determined (dots) and best-fitting distributions (solid lines) for the persistent-motion and tumbling residence times.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4636178&req=5

pone.0142478.g004: Persistent-motion and tumbling times for the wild-type strain.a) Plot of instantaneous speed vs. time for a typical trajectory. The times at which persistent-motion and tumbling segments begin are respectively indicated with green and red triangles. b) Experimentally determined (dots) and best-fitting distributions (solid lines) for the persistent-motion and tumbling residence times.
Mentions: After smoothing all of the obtained parasite trajectories, we computed for each one of them the step lengths (Δri), and the average speed per step vi = Δri/Δt—Δt = 1/30s. In Fig 4a, we can observe a typical speed vs. time plot, corresponding to a wild-type parasite, whereas in Fig 5a the time evolution of the speed of a typical genetically-modified epimastigote is plotted. Notice that, in both cases, the speed fluctuates between two well separated ranges. By visually comparing with the parasite trajectories, we figured out that the two speed ranges correspond to different motility modes which, in accordance to similar studies on T. brucei [13, 14], we call persistent and tumbling.

Bottom Line: The present work is aimed at characterizing the motility of parasite T. cruzi in its epimastigote form.Based on the resulting observations, we developed a mathematical model to simulate parasite trajectories.The fact that the model predictions closely match most of the experimentally observed parasite-trajectory characteristics, allows us to conclude that the model is an accurate description of T. cruzi motility.

View Article: PubMed Central - PubMed

Affiliation: Unidad Monterrey, Centro de Investigación y de Estudios Avanzados del IPN, Apodaca NL, México.

ABSTRACT
The present work is aimed at characterizing the motility of parasite T. cruzi in its epimastigote form. To that end, we recorded the trajectories of two strains of this parasite (a wild-type strain and a stable transfected strain, which contains an ectopic copy of LYT1 gene and whose motility is known to be affected). We further extracted parasite trajectories from the recorded videos, and statistically analysed the following trajectory-step features: step length, angular change of direction, longitudinal and transverse displacements with respect to the previous step, and mean square displacement. Based on the resulting observations, we developed a mathematical model to simulate parasite trajectories. The fact that the model predictions closely match most of the experimentally observed parasite-trajectory characteristics, allows us to conclude that the model is an accurate description of T. cruzi motility.

No MeSH data available.


Related in: MedlinePlus