Exploring Diverse Approaches to Iterative Microbiome Passaging in Soil and Plant Systems

Efficient use of managed land depends on our ability to optimize relevant processes (e.g., crop growth) in that space. Microbial activities are critical to this goal, given their enormous contributions to biogeochemical flux and organismal health. Unfortunately, we still cannot predictably harness their potential in the same way that we can introduce nutrients or manipulate plant composition, for example. In recent years, iterative microbiome passaging has been investigated as an approach for capturing and optimizing groups of microorganisms that contribute additively to functions of interest, such as plant growth promotion or litter decomposition. Early trials show that this approach can alter microbiome function, but functional gains can seem almost stochastic, unlike archetypes of breeding within individual lineages. In this Perspective, we highlight the importance of continuing to explore diverse approaches to iterative microbiome passaging in soil and plant systems, given our limited knowledge about how this process works. There is no single “best” approach, but experimental design choices can have large impacts on outcomes. Ultimately, we believe that a better understanding of different forms of iterative microbiome passaging will allow us to (i) leverage the power of uncultivated microbes, additive/synergistic microbial contributions, and intermicrobial interactions and (ii) understand how land use choices will shape the functional trajectories of microbiomes through time. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .

Authors

Institutions

Publication Details

Journal
Phytobiomes Journal
Published
2025-02-13
DOI
https://doi.org/10.1094/pbiomes-11-24-0113-p
Citations
2
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
3.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Diverse Approaches to Iterative Microbiome Passaging in Soil and Plant Systems

Andrew J.C. Blakney, Kenneth F. Reardon, William L. King, Terrence H. Bell et al.
2 citations
Phytobiomes Journal
Microbial Community Ecology and Physiology
3.43
article

Exploring Diverse Approaches to Iterative Microbiome Passaging in Soil and Plant Systems

Andrew J.C. Blakney, Kenneth F. Reardon, William L. King, Terrence H. Bell, Renlong Ye, Sabrina Percy, Hooman Ahmadpanah
article en
2 citations

Abstract

Efficient use of managed land depends on our ability to optimize relevant processes (e.g., crop growth) in that space. Microbial activities are critical to this goal, given their enormous contributions to biogeochemical flux and organismal health. Unfortunately, we still cannot predictably harness their potential in the same way that we can introduce nutrients or manipulate plant composition, for example. In recent years, iterative microbiome passaging has been investigated as an approach for capturing and optimizing groups of microorganisms that contribute additively to functions of interest, such as plant growth promotion or litter decomposition. Early trials show that this approach can alter microbiome function, but functional gains can seem almost stochastic, unlike archetypes of breeding within individual lineages. In this Perspective, we highlight the importance of continuing to explore diverse approaches to iterative microbiome passaging in soil and plant systems, given our limited knowledge about how this process works. There is no single “best” approach, but experimental design choices can have large impacts on outcomes. Ultimately, we believe that a better understanding of different forms of iterative microbiome passaging will allow us to (i) leverage the power of uncultivated microbes, additive/synergistic microbial contributions, and intermicrobial interactions and (ii) understand how land use choices will shape the functional trajectories of microbiomes through time. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .

Phytobiomes JournalVol. 9(3)
University of Toronto (CA), Cornell University (US), Scarborough Health Network (CA), University of Southampton (GB), Université de Montréal (CA)
Openalex Percentile: Top 10%
Microbial Community Ecology and Physiology
3.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.