
MICROBIAL ECOLOGY · DATA · REPRODUCIBILITY
Xiuling Wang
Microbial Ecologist & Microbiome Researcher
I connect low-biomass molecular methods, R-based statistics and ecological interpretation to study microbiomes across climate, soil depth and rhizosphere environments.
Seeking postdoctoral and related research opportunities in microbial ecology and microbiome science.
- Soil & rhizosphere microbiomes
- 16S · ITS · Metagenomics
- R · Statistics · Visualisation
- Low-biomass molecular methods
Profile
My research connects geography, ecology, biochemistry, and microbiome data science. During my PhD at the University of Potsdam and the GFZ German Research Centre for Geosciences, I focused on microbial communities across Chilean climate gradients and deep-soil profiles, alongside work on rhizosphere and edible-mushroom bacterial and fungal communities.
My work spans experimental design, low-biomass DNA extraction, qPCR, community statistics, scientific visualisation and manuscript writing. In metagenomics, I focus on downstream analysis and ecological interpretation, building on upstream bioinformatics performed by collaborators.
Download academic CV (PDF)Core Expertise
Connecting experiments, data and ecological questions.
Climate gradients & deep-soil microbiomes
Investigating how climate, soil depth, and physicochemical properties jointly shape bacterial communities across Chile’s arid-to-humid gradient.
Living and relic microbial communities
Separating intracellular DNA (iDNA) from extracellular DNA (eDNA) to improve ecological inference in low-biomass environments.
Rhizosphere & food microbiology
Connecting microbial communities with plants, environments, and production processes, from medicinal-plant rhizospheres to mushroom preservation.
Microbiome data & statistics
Using R to organise data, analyse community differences and environmental associations, and develop reproducible figures and scientific interpretations.
Selected Work
EARTHSHAPE · DFG · 2018–2025
Germany–Chile EarthShape BIOSOILS Project
I contributed to deep-soil research across climate zones, linking climate, soil depth, and microbial communities through experiments and data analysis. I also optimised a low-biomass soil DNA extraction workflow adopted by the GFZ laboratory.View the projectRhizosphere fungi of Ferula species
How do rhizosphere fungal communities vary among Ferula species in their native habitats?
My contribution: First and corresponding author, connecting community-data analysis and manuscript writing with questions in rhizosphere ecology.
ITS · Community ecology · R
Published in Rhizosphere, 2026Soil metagenomes across Chilean environmental gradients
How does soil microbial functional potential vary with environmental conditions and soil depth?
My contribution: Downstream data analysis, statistics, ecological interpretation and manuscript writing, using upstream bioinformatics generated by collaborators.
Metagenomics · Functional profiles · R
Full manuscript drafted · target journal: Geoderma
Publications
01 2026CORRESPONDING AUTHORDepth-dependent differences between direct total DNA and an intracellular-DNA-enriched fraction in bulk-soil bacterial and fungal communities of a Lonicera japonica field
BMC Microbiology
Journal metrics & rankings
JCR 2025 · IF 5.4 · Q1XinRui Ranking 2026 · Area: Biology T2 (Top) · Category: Microbiology T202 2026FIRST & CORRESPONDING AUTHORRhizosphere fungal communities of four Ferula species in their native habitats in northern Xinjiang
Rhizosphere · 39 · 101421
Journal metrics & rankings
JCR 2025 · IF 3.9 · Q1XinRui Ranking 2026 · Area: Biology T2 · Categories: Plant Sciences T2 / Microbiology T3 / Soil Science T303 2026CORRESPONDING AUTHORMechanical Damage Modulates Bacterial and Fungal Succession on the Surface of Hypsizygus marmoreus During Refrigerated Storage
Microorganisms · 14(4) · 762
Journal metrics & rankings
JCR 2025 · IF 4.7 · Q2XinRui Ranking 2026 · Area: Biology T2 · Category: Microbiology T304 2024FIRST AUTHORThe effects of climate and soil depth on living and dead bacterial communities along a longitudinal gradient in Chile
Science of the Total Environment · 945 · 173846
Journal metrics & rankings
JCR 2024 (PUBLICATION YEAR) · IF 8.0 · Q1XinRui Ranking 2026 · Not currently listed05 2019FIRST AUTHORLow Temperature (15 °C) Reduces Bacterial Diversity and Prolongs the Preservation Time of Volvariella volvacea
Microorganisms · 7(10) · 475
Journal metrics & rankings
JCR 2025 · IF 4.7 · Q2XinRui Ranking 2026 · Area: Biology T2 · Category: Microbiology T306 2018FIRST AUTHORBacterial diversity and community structure in the rhizosphere of four Ferula species
Scientific Reports · 8 · 5345
Journal metrics & rankings
JCR 2025 · IF 4.9 · Q1XinRui Ranking 2026 · Area: Multidisciplinary Science T3 · Category: Multidisciplinary Sciences T307 2016SECOND AUTHORA unique mountainous vertical distribution patterns and related environmental interpretation – a case study on the northern slope of the Ili River Valley
Pakistan Journal of Botany · 48(5) · 1877–1886
Journal metrics & rankings
JCR 2025 · IF 1.1 · Q3XinRui Ranking 2026 · Area: Biology T4 · Category: Plant Sciences T4
Manuscripts in Progress
01 2026FIRST & CORRESPONDING AUTHORSUBMITTEDSoil archaeal communities in intra- and extracellular DNA share broad regional patterns but diverge locally along the Chilean Coastal Cordillera
Submitted to: Applied Soil Ecology
02 2026FIRST & CORRESPONDING AUTHORIN PREPARATIONScale-dependent organisation of cell-associated microbial functional genes across climate-soil systems and soil depth in granitoid soils of the Chilean Coastal Cordillera
Target journal: Geoderma
Experience
Education
Doctoral studies · degree not yet awarded
University of Potsdam · doctoral research at the GFZ German Research Centre for Geosciences; completing the thesis
MSc in Ecology
Shihezi University · microbial ecology
BSc in Geography
Zhengzhou Normal University
Research Experience
Doctoral Researcher
GFZ German Research Centre for Geosciences · Geomicrobiology · Potsdam
Research Intern
Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences
Skills
Microbiome analysis, statistical modelling, laboratory methods, and reproducible workflows accelerated by AI.
Statistics & microbiome data
Experienced with SPSS, community and network analyses, multivariate statistics, and scientific visualisation from raw data to publication-ready results.
R & reproducible computation
Around five years of R experience (2021–present) across data wrangling, statistical modelling, microbial community analysis, and visualisation. I now work primarily through AI-assisted development while retaining methodological judgement, debugging, and reproducibility skills.
Microbial ecology laboratory work
Low-biomass soil DNA extraction, PCR, qPCR, library preparation, microbial isolation and cultivation, and 16S, ITS, and metagenomic workflows.
Computational workflows & AI-assisted research
Experienced with Codex, Claude Code and ChatGPT for coding, documentation and repetitive tasks, while retaining methodological judgement, output validation and reproducibility controls.
Contact & Collaboration
Looking for a microbiome researcher for your team?
Seeking postdoctoral and related research opportunities in microbial ecology and microbiome science. Research collaborations are also welcome.