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TECHNOLOGY AND CODE article

Front. Plant Sci.
Sec. Plant Symbiotic Interactions
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1405598
This article is part of the Research Topic Highlights of iMMM2023 - International Molecular Mycorrhiza Meeting View all articles

Efficiently recording and processing data from arbuscular mycorrhizal colonisation assays using AMScorer and AMReader

Provisionally accepted
  • University of Cambridge, Cambridge, United Kingdom

The final, formatted version of the article will be published soon.

    Arbuscular mycorrhizal (AM) fungi engage with land plants in a widespread, mutualistic endosymbiosis which provides their hosts with increased access to nutrients and enhanced biotic and abiotic stress resistance. The potential for reducing fertiliser use and improving crop resilience has resulted in rapidly increasing scientific interest. Microscopic quantification of the level of AM colonisation is of fundamental importance to this research, however the methods for recording and processing these data are time-consuming and tedious. In order to streamline these processes, we have developed AMScorer, an easy-to-use Excel spreadsheet, which enables the user to record data rapidly during from microscopy-based assays, and instantly performs the subsequent data processing steps. In our hands, AMScorer has more than halved the time required for data collection compared to paper-based methods. Subsequently, we developed AMReader, a user-friendly R package, which enables easy visualisation and statistical analyses of data from AMScorer. These tools require limited skills in Excel and R, and can accelerate research into AM symbioses, help researchers with variable resources to conduct research, and facilitate the storage and sharing of data from AM colonisation assays. They are available for download at https://github.com/EJarrattBarnham/AMReader, along with an extensive user manual.

    Keywords: AMReader, AMScorer, arbuscular mycorrhizal fungi, Microscopy, Root length colonisation

    Received: 23 Mar 2024; Accepted: 25 Apr 2024.

    Copyright: © 2024 Jarratt-Barnham, Oldroyd and Choi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Edwin Jarratt-Barnham, University of Cambridge, Cambridge, United Kingdom
    Jeongmin Choi, University of Cambridge, Cambridge, United Kingdom

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.