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MCA1 mechanosensitive channels enable fast communication of wound signals between lateral roots.

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The authors' code

Python · 63 lines · 2 KB · CC-BY-4.0

  1. # -*- coding: utf-8 -*-
  2. """
  3. Created on Fri Apr 4 15:28:27 2025
  5. @author: Angel.BAUDON
  6. """
  7. import pandas as pd, numpy as np, matplotlib.pyplot as plt, glob, scipy.stats as stat, os
  8. from scipy.signal import savgol_filter, find_peaks
  11. folder = r"C:\Angel.BAUDON\Exp\Data\0_Root XXM IAA project\IAA Puff\Root GECO Imaging IAA puff"
  12. if not os.path.exists(rf'{folder}\analysis'): os.makedirs(rf'{folder}\analysis')
  14. file = glob.glob(f'{folder}\*.xlsx')[0]
  15. file_name = file.split('\\')[-1]
  16. sampling_Hz, rec_len = .5, 119
  17. data, Amps = [], []
  18. xl = pd.ExcelFile(file)
  21. for sheet_name in xl.sheet_names:
  23. print(sheet_name)
  25. raw = pd.read_excel(file, sheet_name=sheet_name).to_numpy()
  26. _, n_rec = raw.shape
  28. dFF0, amps = [], []
  30. for i in range(int(n_rec/2)):
  32. camera_background = raw[:,i*2]
  33. F = raw[:,i*2+1] - camera_background
  35. baseline = np.nanmean(F[:30])
  36. dff0 = [x for x in (F[:rec_len]-baseline)/baseline if str(x) != 'nan']
  38. fltr = savgol_filter(dff0, 5, 2)
  40. # plt.figure(), plt.title(f'{sheet_name} Rec n°{i}')
  41. # plt.plot(dff0), plt.plot(fltr)
  43. dFF0.append(fltr), amps.append(max(dff0[30:]))
  44. data.append(np.asarray(dFF0)), Amps.append(amps)
  46. x_ax = np.linspace(0, rec_len/sampling_Hz, rec_len)
  48. plt.figure()
  49. for i, d in enumerate(data):
  50. m, s = np.nanmean(d, axis=0), stat.sem(d, axis=0, nan_policy='omit')
  52. # m, s = savgol_filter(m, 3, 1), savgol_filter(s, 3, 1)
  53. plt.plot(x_ax, m, label=xl.sheet_names[i]), plt.fill_between(x_ax, m-s, m+s, alpha=0.5)
  54. plt.xlabel('Time(s)'), plt.ylabel('dF/F0'), plt.legend()
  55. plt.savefig(rf'{folder}/analysis/{file_name[:-5]}.pdf')
  58. writer = pd.ExcelWriter(rf'{folder}/analysis/{file_name[:-5]} analysis.xlsx')
  59. for d, name in zip(data, xl.sheet_names): pd.DataFrame(d).to_excel(writer, sheet_name = f'{name} dFF0')
  60. for a, name in zip(Amps, xl.sheet_names): pd.DataFrame(a).to_excel(writer, sheet_name = f'{name} Amp')
  61. writer.save()

CaIm Puff DAMP.py, under CC-BY-4.0 · at the source

Overview

Authors: Angel Baudon1, Craig R Brodersen2, Shouguang Huang1,3,4,5, Huifang Song1,3,4,5, Dirk Becker1, Dietmar Geiger1, M Rob G Roelfsema1, Rainer Hedrich3,4,5
ORCID iDs: Angel Baudon, Craig R Brodersen, Shouguang Huang, Huifang Song, Dirk Becker, Dietmar Geiger, M Rob G Roelfsema, Rainer Hedrich
  1. Molecular Plant Physiology and Biophysics, Julius-von-Sachs Institute for Biosciences, Biocenter, University of Würzburg, Julius-von-Sachs-Platz 2, 97082 Würzburg, Germany
  2. School of the Environment, Yale University, New Haven, CT 06511, USA
  3. Faculty of Synthetic Biology, Shenzhen University of Advanced Technology, Shenzhen, China
  4. Institute of Emerging Agricultural Technology, Shenzhen University of Advanced Technology, Shenzhen, China
  5. State Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Institutions: University of Würzburg (Germany); Yale University (United States); Chinese Academy of Sciences (China); Shenzhen Institutes of Advanced Technology (China); Shenzhen University of Advanced Technology (China); Shenzhen Institute of Synthetic Biology (China)
Journal: Science advances, volume 12, issue 39, article eaef2202
Dates: received 6 January 2026; accepted 19 August 2026; published online 25 September 2026; in print September 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1126/sciadv.aef2202 · PMID 42789706 · PMCID PMC13614382 · OpenAlex W7214404484
Open access: gold, a free copy (OpenAlex)
Status: code verified (how the code is found and verified)
Categories: cellular / molecular (subfield)
Methods: Spectral & time-frequency, Connectivity, fMRI & imaging, Single-unit activity, calcium imaging
MeSH: Arabidopsis*, Arabidopsis Proteins*, Ion Channels*, Mechanotransduction, Cellular*, Plant Roots*, Calcium, Membrane Potentials, Membrane Proteins, Mutation, Signal Transduction (* major topic)
Topic: Plant and Biological Electrophysiology Studies (Plant Science, Agricultural and Biological Sciences), according to OpenAlex
Funding: National Science Foundation; Deutsche Forschungsgemeinschaft; National Natural Science Foundation of China
Citations: not cited yet (Europe PMC); 28 references in the paper

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.

Repositories

Its files are read in the Code ↔ Paper reader above.

Zenodo 20036842

License: CC-BY-4.0
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Size: 1 file
Software Heritage: not checked
Found in: “Data, code, and materials availability:”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Matplotlib (11 files), NumPy (11 files), pandas (11 files), SciPy (11 files), pyABF (5 files)
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
11 files
At the source: doi.org/10.5281/zenodo.20036842

angelbaudon/angelbaudon-lateral-root-communication-2026

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Commit: 77f8577c6781b4ae7e784da7405acfaa12b5d568, 5 May 2026
Languages: Python (11)
Size: 11 files, 11 scripts
Software Heritage: not archived
Found in: the Zenodo archive record
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: Matplotlib (11 files), NumPy (11 files), pandas (11 files), SciPy (11 files), pyABF (5 files)
Availability: 1 check, the latest on 28 September 2026: the link answers
  • 28 September 2026: the link answers
11 files
At the source: github.com/AngelBaudon/AngelBaudon-Lateral-Root-Communication-2026/tree/FinalRepository

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 22 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data, code, and materials availability

All data and code needed to evaluate and reproduce the results in the paper are present in the paper and/or the Supplementary Materials. All data were analyzed with homemade Python scripts available in the following repository: https://doi.org/10.5281/zenodo.20036842. This study did not generate new biological materials.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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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://doi.org/10.1126/sciadv.aef2202

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/sciadv.aef2202},
url = {https://doi.org/10.1126/sciadv.aef2202},
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 - 2026/09/25
VL - 12
IS - 39
SP - eaef2202
SN - 2375-2548
PB - American Association for the Advancement of Science
DO - 10.1126/sciadv.aef2202
UR - https://doi.org/10.1126/sciadv.aef2202
LA - en
ER -

CSL-JSON

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"id": "10.1126/sciadv.aef2202",
"type": "article-journal",
"title": "MCA1 mechanosensitive channels enable fast communication of wound signals between lateral roots",
"container-title": "Science advances",
"author": [
{
"family": "Baudon",
"given": "Angel"
},
{
"family": "Brodersen",
"given": "Craig R"
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{
"family": "Huang",
"given": "Shouguang"
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{
"family": "Song",
"given": "Huifang"
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{
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"given": "M Rob G"
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{
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"given": "Rainer"
}
],
"container-title-short": "Sci Adv",
"volume": "12",
"issue": "39",
"page": "eaef2202",
"DOI": "10.1126/sciadv.aef2202",
"PMID": "42789706",
"PMCID": "PMC13614382",
"ISSN": "2375-2548",
"publisher": "American Association for the Advancement of Science",
"URL": "https://doi.org/10.1126/sciadv.aef2202",
"language": "en",
"issued": {
"date-parts": [
[
2026,
9,
25
]
]
}
}

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