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Updated: Nov 22, 2025

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere
Published on: May 2, 2018
Host-Associated Quantitative Abundance Profiling Reveals the Microbial Load Variation of Root Microbiome
Xiaoxuan Guo1,2, Xiaoning Zhang1,2,3, Yuan Qin1,2,3
1State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences (CAS), Beijing 100101, China.
A new method, host-associated quantitative abundance profiling (HA-QAP), accurately measures total microbial load in plant roots. This technique reveals how microbial abundance changes impact plant health under stress and disease.
Area of Science:
- Microbiology
- Plant Science
- Genomics
Background:
- Plant-associated microbes are vital for plant growth and survival.
- Current high-throughput amplicon sequencing methods primarily assess microbial relative abundance, not total microbial load or colonization relative to host plant tissues.
Purpose of the Study:
- To develop and validate a novel method, host-associated quantitative abundance profiling (HA-QAP), for accurately quantifying microbial load in plant roots.
- To assess the total microbial load and colonization of individual root microbiome members relative to host plants.
Main Methods:
- Developed the HA-QAP method using the copy-number ratio of microbial marker genes to the plant genome.
- Validated HA-QAP through mock experiments, perturbation experiments, and metagenomic sequencing.
Main Results:
- HA-QAP accurately measures total microbial load, overcoming limitations of relative abundance methods.
- In healthy rice and wheat, bacterial 16S rRNA gene copy-number ratios ranged from 1.07 to 6.61, and fungal ITS ratios ranged from 0.40 to 2.26.
- Increased total microbial load was observed in rice under drought stress and wheat with root rot disease, impacting microbial interaction networks.
Conclusions:
- HA-QAP provides an accurate and technically feasible approach to quantify root microbiome load.
- This method enhances understanding of genuine plant-microbe interactions and the impact of microbial load on plant health under stress and disease.
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