Absolute direction in organelle movement
Abstract In movement analysis, correlated random walk (CRW) models often use so‐called turning angles, which are measured relative to the previous movement direction. To segregate between different movement modes, hidden Markov models (HMMs) describe movements as piecewise stationary CRWs in which t...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-08-01
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| Series: | Ecology and Evolution |
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| Online Access: | https://doi.org/10.1002/ece3.70092 |
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| author | Solveig Plomer Annika Meyer Philipp Gebhardt Theresa Ernst Enrico Schleiff Gaby Schneider |
| author_facet | Solveig Plomer Annika Meyer Philipp Gebhardt Theresa Ernst Enrico Schleiff Gaby Schneider |
| author_sort | Solveig Plomer |
| collection | DOAJ |
| description | Abstract In movement analysis, correlated random walk (CRW) models often use so‐called turning angles, which are measured relative to the previous movement direction. To segregate between different movement modes, hidden Markov models (HMMs) describe movements as piecewise stationary CRWs in which the distributions of turning angles and step sizes depend on the underlying state. This typically allows for the segregation of movement modes that show different movement speeds. We show that in some cases, it may be interesting to investigate absolute angles, that is, biased random walks (BRWs) instead of turning angles. In particular, while discrimination between states in the turning angle setting can only rely on movement speed, models with absolute angles can be used to discriminate between sections of different movement directions. A preprocessing algorithm is provided that enables the analysis of absolute angles in the existing R package moveHMM. In a data set of movements of cell organelles, models using not the turning angle but the absolute angle could capture interesting additional properties. Goodness‐of‐fit was increased for HMMs with absolute angles, and HMMs with absolute angles tended to choose a higher number of states, suggesting the existence and relevance of prominent directional changes in the present data set. These results suggest that models with absolute angles can provide important information in the analysis of movement patterns if the existence and frequency of directional changes is of biological importance. |
| format | Article |
| id | doaj-art-a7701e27d0e94466b8075a71f88a0eca |
| institution | OA Journals |
| issn | 2045-7758 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj-art-a7701e27d0e94466b8075a71f88a0eca2025-08-20T01:55:49ZengWileyEcology and Evolution2045-77582024-08-01148n/an/a10.1002/ece3.70092Absolute direction in organelle movementSolveig Plomer0Annika Meyer1Philipp Gebhardt2Theresa Ernst3Enrico Schleiff4Gaby Schneider5Institute of Mathematics Goethe University Frankfurt Frankfurt GermanyInstitute of Mathematics Goethe University Frankfurt Frankfurt GermanyFaculty of Biological Sciences Goethe University Frankfurt Frankfurt GermanyFaculty of Biological Sciences Goethe University Frankfurt Frankfurt GermanyFaculty of Biological Sciences Goethe University Frankfurt Frankfurt GermanyInstitute of Mathematics Goethe University Frankfurt Frankfurt GermanyAbstract In movement analysis, correlated random walk (CRW) models often use so‐called turning angles, which are measured relative to the previous movement direction. To segregate between different movement modes, hidden Markov models (HMMs) describe movements as piecewise stationary CRWs in which the distributions of turning angles and step sizes depend on the underlying state. This typically allows for the segregation of movement modes that show different movement speeds. We show that in some cases, it may be interesting to investigate absolute angles, that is, biased random walks (BRWs) instead of turning angles. In particular, while discrimination between states in the turning angle setting can only rely on movement speed, models with absolute angles can be used to discriminate between sections of different movement directions. A preprocessing algorithm is provided that enables the analysis of absolute angles in the existing R package moveHMM. In a data set of movements of cell organelles, models using not the turning angle but the absolute angle could capture interesting additional properties. Goodness‐of‐fit was increased for HMMs with absolute angles, and HMMs with absolute angles tended to choose a higher number of states, suggesting the existence and relevance of prominent directional changes in the present data set. These results suggest that models with absolute angles can provide important information in the analysis of movement patterns if the existence and frequency of directional changes is of biological importance.https://doi.org/10.1002/ece3.70092absolute anglebiased random walkcorrelated random walkhidden Markov modelmovement analysisturning angle |
| spellingShingle | Solveig Plomer Annika Meyer Philipp Gebhardt Theresa Ernst Enrico Schleiff Gaby Schneider Absolute direction in organelle movement Ecology and Evolution absolute angle biased random walk correlated random walk hidden Markov model movement analysis turning angle |
| title | Absolute direction in organelle movement |
| title_full | Absolute direction in organelle movement |
| title_fullStr | Absolute direction in organelle movement |
| title_full_unstemmed | Absolute direction in organelle movement |
| title_short | Absolute direction in organelle movement |
| title_sort | absolute direction in organelle movement |
| topic | absolute angle biased random walk correlated random walk hidden Markov model movement analysis turning angle |
| url | https://doi.org/10.1002/ece3.70092 |
| work_keys_str_mv | AT solveigplomer absolutedirectioninorganellemovement AT annikameyer absolutedirectioninorganellemovement AT philippgebhardt absolutedirectioninorganellemovement AT theresaernst absolutedirectioninorganellemovement AT enricoschleiff absolutedirectioninorganellemovement AT gabyschneider absolutedirectioninorganellemovement |