ArticleaBIOTECH2024
Decoding the microbiome for sustainable agriculture.
Article in aBIOTECH, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- The genotypically conserved core microbiota modulates nutrient turnover in soybean rhizosphere.Journal of advanced research · 2026Article
- Coordination of PTI and ETI in legume-rhizobium mutualism.aBIOTECH · 2026Review
- Seed-microbiome interactions: Mechanistic insights and utilization toward seed performance for sustainable agriculture.Plant communications · 2026Review
- Trehalose-mediated reshaping of the rhizosphere microbiome drives tea root rot progression.Frontiers in microbiology · 2026Article
- Article
- MHZ3: a key regulator of ethylene signaling in rice.aBIOTECH · 2025Review
- AM fungi modulate organic nitrogen preference ofFrontiers in plant science · 2025Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Root-associated microbiota profoundly affect crop health and productivity. Plants can selectively recruit beneficial microbes from the soil and actively balance microbe-triggered plant-growth promotion and stress tolerance enhancement. The cost associated with this is the root-mediated support of a certain number of specific microbes under nutrient limitation. Thus, it is important to consider the dynamic changes in microbial quantity when it comes to nutrient condition-induced root microbiome reassembly. Quantitative microbiome profiling (QMP) has recently emerged as a means to estimate the specific microbial load variation of a root microbiome (instead of the traditional approach quantifying relative microbial abundances) and data from the QMP approach can be more closely correlated with plant development and/or function. However, due to a lack of detailed-QMP data, how soil nutrient conditions affect quantitative changes in microbial assembly of the root-associated microbiome remains poorly understood. A recent study quantified the dynamics of the soybean root microbiome, under unbalanced fertilization, using QMP and provided data on the use of specific synthetic communities (SynComs) for sustaining crop productivity. In this editorial, we explore potential opportunities for utilizing QMP to decode the microbiome for sustainable agriculture.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.