MCA1 mechanosensitive channels enable fast communication of wound signals between lateral roots.
Paper
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The authors' code
Python · 63 lines · 2 KB · CC-BY-4.0
- # -*- coding: utf-8 -*-
- """
- Created on Fri Apr 4 15:28:27 2025
- @author: Angel.BAUDON
- """
- import pandas as pd, numpy as np, matplotlib.pyplot as plt, glob, scipy.stats as stat, os
- from scipy.signal import savgol_filter, find_peaks
- folder = r"C:\Angel.BAUDON\Exp\Data\0_Root XXM IAA project\IAA Puff\Root GECO Imaging IAA puff"
- if not os.path.exists(rf'{folder}\analysis'): os.makedirs(rf'{folder}\analysis')
- file = glob.glob(f'{folder}\*.xlsx')[0]
- file_name = file.split('\\')[-1]
- sampling_Hz, rec_len = .5, 119
- data, Amps = [], []
- xl = pd.ExcelFile(file)
- for sheet_name in xl.sheet_names:
- print(sheet_name)
- raw = pd.read_excel(file, sheet_name=sheet_name).to_numpy()
- _, n_rec = raw.shape
- dFF0, amps = [], []
- for i in range(int(n_rec/2)):
- camera_background = raw[:,i*2]
- F = raw[:,i*2+1] - camera_background
- baseline = np.nanmean(F[:30])
- dff0 = [x for x in (F[:rec_len]-baseline)/baseline if str(x) != 'nan']
- fltr = savgol_filter(dff0, 5, 2)
- # plt.figure(), plt.title(f'{sheet_name} Rec n°{i}')
- # plt.plot(dff0), plt.plot(fltr)
- dFF0.append(fltr), amps.append(max(dff0[30:]))
- data.append(np.asarray(dFF0)), Amps.append(amps)
- x_ax = np.linspace(0, rec_len/sampling_Hz, rec_len)
- plt.figure()
- for i, d in enumerate(data):
- m, s = np.nanmean(d, axis=0), stat.sem(d, axis=0, nan_policy='omit')
- # m, s = savgol_filter(m, 3, 1), savgol_filter(s, 3, 1)
- plt.plot(x_ax, m, label=xl.sheet_names[i]), plt.fill_between(x_ax, m-s, m+s, alpha=0.5)
- plt.xlabel('Time(s)'), plt.ylabel('dF/F0'), plt.legend()
- plt.savefig(rf'{folder}/analysis/{file_name[:-5]}.pdf')
- writer = pd.ExcelWriter(rf'{folder}/analysis/{file_name[:-5]} analysis.xlsx')
- for d, name in zip(data, xl.sheet_names): pd.DataFrame(d).to_excel(writer, sheet_name = f'{name} dFF0')
- for a, name in zip(Amps, xl.sheet_names): pd.DataFrame(a).to_excel(writer, sheet_name = f'{name} Amp')
- writer.save()
CaIm Puff DAMP.py, under CC-BY-4.0 · at the source
Overview
- Molecular Plant Physiology and Biophysics, Julius-von-Sachs Institute for Biosciences, Biocenter, University of Würzburg, Julius-von-Sachs-Platz 2, 97082 Würzburg, Germany
- School of the Environment, Yale University, New Haven, CT 06511, USA
- Faculty of Synthetic Biology, Shenzhen University of Advanced Technology, Shenzhen, China
- Institute of Emerging Agricultural Technology, Shenzhen University of Advanced Technology, Shenzhen, China
- State Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Abstract
Although plant roots are hidden in soil, they are vulnerable to damage by insect herbivory, such as aerial tissues. However, wound signaling in roots is poorly understood. Here, we examined how damage signals spread locally and over long distances between Arabidopsis lateral roots. Using intracellular membrane potential recordings, calcium imaging, and optogenetics, we show that mechanical injury triggers an immediate local membrane depolarization and cytosolic calcium elevations whose magnitude and duration scale with wound severity. Depolarizations were also detected in neighboring lateral roots within milliseconds, demonstrating the presence of a rapid inter-root signaling pathway. Through mutant analyses, we highlight the roles of glutamate-like receptors and mid1-complementing activity 1 (MCA1) mechanosensitive channels in mediating this long-distance communication. Our results demonstrate that a wound-induced decrease in root cell turgor pressure rapidly spreads across the root network, where neighboring roots decode this signal via MCA1. This work underscores fundamental differences between root and shoot wound responses and uncovers a mechanosensory basis for fast communication between lateral roots.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Zenodo 20036842
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
- 28 September 2026: the link answers (HTTP 200)
11 files
- CaIm Puff DAMP.py — Python, 63 lines
- CaIm Puff Sorbitol and Glut.py — Python, 64 lines
- CaIm Wound distant.py — Python, 50 lines
- CaIm Wound.py — Python, 133 lines
- Cavitation Bubble Manometry Analysis.py — Python, 54 lines
- ePhy Dose resp DAMP.py — Python, 117 lines
- ePhy Opto Puff Glut.py — Python, 89 lines
- ePhy Opto Puff Sorb.py — Python, 63 lines
- ePhy Opto Wound.py — Python, 120 lines
- ePhy wounding Amp-Distance correlation.py — Python, 44 lines
- ePhy wounding.py — Python, 128 lines
angelbaudon/angelbaudon-lateral-root-communication-2026
77f8577c6781b4ae7e784da7405acfaa12b5d568, 5 May 2026Availability: 1 check, the latest on 28 September 2026: the link answers
- 28 September 2026: the link answers
11 files, not copied: shown from their source
OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit 77f8577, when its fingerprint is the one OSCR verified. How this works.
- CaIm Puff DAMP.py — Python, 63 lines, shown from its source
- CaIm Puff Sorbitol and Glut.py — Python, 64 lines, shown from its source
- CaIm Wound distant.py — Python, 50 lines, shown from its source
- CaIm Wound.py — Python, 133 lines, shown from its source
- Cavitation Bubble Manometry Analysis.py — Python, 54 lines, shown from its source
- ePhy Dose resp DAMP.py — Python, 117 lines, shown from its source
- ePhy Opto Puff Glut.py — Python, 89 lines, shown from its source
- ePhy Opto Puff Sorb.py — Python, 63 lines, shown from its source
- ePhy Opto Wound.py — Python, 120 lines, shown from its source
- ePhy wounding Amp-Distance correlation.py — Python, 44 lines, shown from its source
- ePhy wounding.py — Python, 128 lines, shown from its source
The paper's code and data availability statement is in the Data section.
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Version 2, 28 September 2026
- Funding: added National Science Foundation; Deutsche Forschungsgemeinschaft; National Natural Science Foundation of China
Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 10 MeSH terms, 27 references.
Cite
This paper
Baudon, A., Brodersen, C. R., Huang, S., Song, H., Becker, D., Geiger, D., Roelfsema, M. R. G., & Hedrich, R. (2026). MCA1 mechanosensitive channels enable fast communication of wound signals between lateral roots. Science advances, 12(39), eaef2202. https://
BibTeX
@article{baudon2026mca1,
author = {Baudon, Angel and Brodersen, Craig R and Huang, Shouguang and Song, Huifang and Becker, Dirk and Geiger, Dietmar and Roelfsema, M Rob G and Hedrich, Rainer},
title = {{MCA1 mechanosensitive channels enable fast communication of wound signals between lateral roots}},
journal = {Science advances},
year = {2026},
month = sep,
volume = {12},
number = {39},
pages = {eaef2202},
publisher = {American Association for the Advancement of Science},
issn = {2375-2548},
doi = {10.1126/
url = {https://
pmid = {42789706},
pmcid = {PMC13614382}
}
RIS
TY - JOUR
AU - Baudon, Angel
AU - Brodersen, Craig R
AU - Huang, Shouguang
AU - Song, Huifang
AU - Becker, Dirk
AU - Geiger, Dietmar
AU - Roelfsema, M Rob G
AU - Hedrich, Rainer
TI - MCA1 mechanosensitive channels enable fast communication of wound signals between lateral roots
T2 - Science advances
J2 - Sci Adv
PY - 2026
DA - 2026/
VL - 12
IS - 39
SP - eaef2202
SN - 2375-2548
PB - American Association for the Advancement of Science
DO - 10.1126/
UR - https://
LA - en
ER -
CSL-JSON
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