Mitra Ghotbi / Microbial ecologist

Small life.
Big
connections.

Exploring the world beneath our feet.

I study how plants, microorganisms and soil chemistry interact—and how these relationships shape nutrient cycling and recovery from environmental stress.

Mitra Ghotbi standing in a maize field
Mitra GhotbiFrom field observations to microbial insights.
SOIL · PLANT · MICROBEIN MOTION
Soil–plant–microbe interactionsA leafy plant grows above a soil cross-section. Branching roots extend into soil aggregates, bacteria and fungal hyphae. Orange arrows represent root-derived carbon moving toward microbes. Blue arrows show soil nutrient uptake by roots and nutrient uptake and release between soil and microbes. This is a conceptual illustration, not to scale. PlantSoilMicrobes

Root-derived carbon → microbes · carbon supply

Soil nutrients → roots · plant uptake

Soil nutrients ↔ microbes · microbial uptake & nutrient release

A living rhizosphere · conceptual illustration.

RolePostdoctoral Fellow, 2026–presentInstituteInstitute of Plant Nutrition and Soil Science and Botanical Institute, Kiel UniversityApproachField and mesocosm experiments, stable isotopes, quantitative microbiomesCodeOpen R packages and reproducible pipelines

Research

Connecting processes.
Understanding recovery.

My research connects rhizosphere biology, soil carbon and nitrogen cycling, and host-associated microbiomes. I combine controlled experiments and process measurements with molecular data and quantitative analysis to understand how biological interactions respond to changing environments.

Soil–plant–microbe interactions

Plant genotype, microbial partners and environmental stress shape rhizosphere processes, nutrient cycling and plant performance. My work includes biological nitrification inhibition, microbial inoculation, flooding, herbivory and fungal pathogen stress.

Redox resilience

I investigate how hydrological disturbance reorganizes soil–plant–microbiome function, with a focus on electron-transfer processes and elemental coupling, and on the recovery process that follows flooding and drought.

Quantitative microbiomes

I integrate amplicon sequencing, metagenomics, metatranscriptomics and reproducible computation — including absolute-abundance analysis using spike-in controls — to connect microbial community patterns with biological function.

Developing independent research directions

Holobiont redox resilience across the maize domestication gradient, and HYDROREDOX: testing whether event-accessible electron-transfer architecture helps predict recovery after flood–drought cycles.

Publications

Selected work

Research across agricultural soils, plant-associated communities and host microbiomes. The downloadable CV includes additional publications and outputs.

Software

Open, reproducible science

I develop R tools and workflows that connect biological questions to transparent, reproducible analysis.

R / Bioconductor · Version 1.2.0

DspikeIn

Estimating Absolute Abundance from Microbial Spike-in Controls

A modular workflow for absolute microbial quantification using single spike-in taxa or synthetic microbial communities. Supports spike-in validation, preprocessing, scaling-factor estimation, absolute-abundance conversion, bias correction and normalization, with phyloseq and TreeSummarizedExperiment compatibility.

BiocManager::install("DspikeIn")

First time using Bioconductor?

Install BiocManager first with install.packages("BiocManager"), then run the command above.

MIT licence · Package DOI ↗

R / CRAN · Version 1.0.6

HRRI

Diagnostics for Soil–Plant–Microbial Redox Recovery

Integrate longitudinal soil, plant and microbial observations to examine redox disturbance and recovery. Includes recovery signatures, fixed-reference domain scores, observation-coverage diagnostics, and conditional calculations of oxygen demand and accessible electron capacity.

install.packages("HRRI")

R ≥ 4.3.0 · MIT licence · Package DOI ↗

R / GitHub · Version 0.4.19

FunMel

From fungal confrontation photographs to matched-control results.

FunMel measures the colour, shape and image-darkness profiles of approximately round Zymoseptoria tritici colonies around another fungus. It separates target colonies from central fungal tissue and connected hyphal growth, preserves image provenance and custom metadata, and compares treatments with their own set controls.

Colony phenotypingMatched controls
install.packages("remotes")
remotes::install_github("mghotbi/FunMel")
Installation requirements

Restart R before loading an updated package. R ≥ 4.1 and source-compilation tools are required: Xcode Command Line Tools on macOS, matching Rtools on Windows, or R development tools and ImageMagick development libraries on Linux. For installed tutorials, use build_vignettes=TRUE during installation.

All research software ↗Built with curiosity. Shared for reproducibility.

Research resources

Methods you can
build on.

A little open-science toolbox for soil, plant and microbiome research. Explore public protocols here, or visit GhotbiLab for available methods and code.

Experimental

Protocols

From sample collection to measurement.
Practical methods for work at the bench and in the field.

SamplingLaboratory methodsQuality control
Browse protocols at GhotbiLab

Public SOPs are linked below. Other resources become visible as they are released.

Computational

Pipelines

From raw data to interpretation.
Computational workflows for reproducible analysis.

Data preparationAnalysisReproducibility
Explore GhotbiLab

Browse publicly available repositories for code, dependencies and usage notes.

Curriculum vitae

A foundation across disciplines

Training and research across plant science, soil biogeochemistry, microbial ecology and computational biology.

Research appointments

2026 – present

Postdoctoral Fellow

Institute of Plant Nutrition and Soil Science and Botanical Institute, Kiel University

Soil–plant–microbiome redox ecology and predictive-framework development.

2024 – 2026

Postdoctoral Research Associate

Middle Tennessee State University, USA

Host-associated microbiomes, metagenomics, synthetic communities and fungal–bacterial interactions.

2022 – 2023

Postdoctoral Research Associate

University of Illinois Urbana-Champaign, USA

Rhizosphere nitrogen cycling, biological nitrification inhibition and plant–microbe interactions.

2012 – 2015

Junior Researcher

ZEF, University of Bonn, Germany

Climate-change effects on plant performance, soil organic matter and greenhouse-gas emissions.

Education

2016 – Jan 2022

Dr. agr. · Agricultural Sciences

University of California, Davis and University of Bonn

Joint doctoral programme in soil microbial ecology and biogeochemistry. Advisors: William R. Horwath and Claudia Knief.

2007 – 2009

M.Sc. · Crop Production & Weed Biocontrol

Shahed University, Iran

Biology and efficacy of Fusarium oxysporum isolates for biocontrol of Orobanche aegyptiaca.

2001 – 2006

B.Sc. · Crop Production & Plant/Seed Breeding

IAU, East Azerbaijan, Iran

Thesis: tissue culture of carrot cells.

Methods & technical expertise

Experimental & molecular

Greenhouse, mesocosm and field experiments; rhizosphere processes; microbial inoculation and synthetic communities; plant, root, soil and gas measurements; stable isotopes; DNA/RNA workflows; 16S/ITS profiling; metagenomics and transcriptomic analysis.

Computational & statistical

R, Bioconductor and Linux; mixed models, multivariate analysis and ecological networks; genome-resolved workflows; reproducible pipelines and R package development. Additional tools include TASSEL, Cytoscape, Gephi, SigmaPlot and GenGIS.

Awards, service & languages
  • ISME19 Travel Grant (2024); FEMS Congress Grant (2023).
  • PhD Project Scholarship, UC Davis (2015–2017); WASCAL Scholarship, University of Bonn (2012–2014).
  • Earlier awards include IFOAM, NAAEE, ICM9, EWRS and IWSS support.
  • ISME community mentoring; journal peer review, including The ISME Journal and Applied Soil Ecology.
  • Memberships: ISME, MSA, ASA, CSSA, SSSA and FEMS.
  • Persian/Farsi (native), English (fluent), German (B1).

Teaching and mentoring

From a biological question to a defensible conclusion.

I teach microbial ecology, bioinformatics and statistics by connecting mechanisms, experiments, measurements and interpretation. Reproducible code is part of the scientific argument.

My mentoring spans undergraduate, graduate and early-career researchers at UIUC, MTSU and Kiel. I emphasize clear expectations, constructive feedback and growing independence, with multiple entry points for students from different disciplinary backgrounds.

Mitra Ghotbi in the fieldContact · Mitra Ghotbi

Let’s connect.

For research collaborations, academic opportunities and conversations about soil–plant–microbe interactions.

mitra.ghotbi@gmail.com ↗