Data from all six ratiometric kymographs with corresponding MetaMorph tracking, as well as ion flux, tracking, and kymograph data of the highly oscillatory growth series are available at Dryad Digital Repository: http://dx.doi.org/10.5061/dryad.6806c
Open resource ↗Dryad Digital Repository · 10.5061/dryad.6806c · lines:110-189Unverified paper record
Oscillatory signatures underlie growth regimes in Arabidopsis pollen tubes: computational methods to estimate tip location, periodicity, and synchronization in growing cells.
Journal of experimental botany · 1 Jun 2017 · 10.1093/jxb/erx032
Abstract
Oscillations in pollen tubes have been reported for many cellular processes, including growth, extracellular ion fluxes, and cytosolic ion concentrations. However, there is a shortage of quantitative methods to measure and characterize the different dynamic regimes observed. Herein, a suite of open-source computational methods and original algorithms were integrated into an automated analysis pipeline that we employed to characterize specific oscillatory signatures in pollen tubes of Arabidopsis thaliana (Col-0). Importantly, it enabled us to detect and quantify a Ca2+ spiking behaviour upon growth arrest and synchronized oscillations involving growth, extracellular H+ fluxes, and cytosolic Ca2+, providing the basis for novel hypotheses. Our computational approach includes a new tip detection method with subpixel resolution using linear regression, showing improved ability to detect oscillations when compared to currently available methods. We named this data analysis pipeline 'Computational Heuristics for Understanding Kymographs and aNalysis of Oscillations Relying on Regression and Improved Statistics', or CHUKNORRIS. It can integrate diverse data types (imaging, electrophysiology), extract quantitative and time-explicit estimates of oscillatory characteristics from isolated time series (period and amplitude) or pairs (phase relationships and delays), and evaluate their synchronization state. Here, its performance is tested with ratiometric and single channel kymographs, ion flux data, and growth rate analysis.
Plant phenotyping relevance
花粉管の先端位置・成長・振動特性を定量化する新規チップ検出法とオープンソース解析パイプラインを開発しており、植物表現型取得・抽出が中心である。
abstracta suite of open-source computational methods and original algorithms were integrated into an automated analysis pipeline
abstractOur computational approach includes a new tip detection method with subpixel resolution using linear regression
abstractextract quantitative and time-explicit estimates of oscillatory characteristics
Code and data availability
The paper's raw phenotyping data (ratiometric kymographs, ion flux, tracking data) are deposited in Dryad, and the authors' CHUKNORRIS analysis pipeline code is on GitHub; both are paper-specific, public, and actionable.
Code in the statistical programming language R, together with examples of its usage are available in the online repository GitHub: https://github.com/damineli/CHUKNORRIS , last accessed 15 February 2017.
Open resource ↗GitHub · damineli/CHUKNORRIS · lines:110-189This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.