Xiuling Wang in the mountains

MICROBIAL ECOLOGY · DATA · REPRODUCIBILITY

Xiuling Wang

Microbial Ecologist & Microbiome Researcher

I study soil microbiomes across climate and depth gradients, combining low-biomass molecular methods with R-based statistics and ecological interpretation.

I welcome collaborations and research exchanges in microbial ecology, microbiome science and soil microbiology.

View selected work
01

Profile

My research combines geography, ecology and microbiome analysis. My doctoral work at the University of Potsdam and GFZ, within the German–Chilean EarthShape project, investigates bacterial and archaeal communities across arid-to-humid climate and soil-depth gradients, combining low-biomass sample processing with intracellular/extracellular DNA separation. Collaborative studies also cover rhizosphere and mushroom-surface microbiomes.

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.

I am interested in how microbial activity and microbial residues interact with minerals to influence soil carbon cycling, linking community patterns and genomic functional potential to underlying biogeochemical processes.

Download academic CV (PDF)
BackgroundDoctoral studies in Microbiology · MSc in Ecology · BSc in Geographical Sciences
International projectDFG EarthShape · Germany–Chile · Project period: 2018–2025
LanguagesChinese (native) · English
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Core Expertise

Connecting experiments, data and ecological questions.

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Climate gradients & deep-soil microbiomes

Investigating how climate, soil depth, and physicochemical properties jointly shape bacterial and archaeal communities across Chile’s arid-to-humid gradient.

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Intracellular & extracellular DNA fractions

Separating intracellular DNA (iDNA) from extracellular DNA (eDNA) to improve ecological inference in low-biomass environments.

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Rhizosphere & food microbiology

Connecting microbial communities with plants, environments, and production processes, from medicinal-plant rhizospheres to mushroom preservation.

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Microbiome data & statistics

Using R to organise data, analyse community differences and environmental associations, and develop reproducible figures and scientific interpretations.

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Selected Work

EARTHSHAPE · DFG · Project period: 2018–2025

Germany–Chile EarthShape BIOSOILS Project

My participation: October 2019–December 2024. 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.
iDNA / eDNA16S rRNA0–200 cmGermany–Chile
View the project
02

Rhizosphere fungi of Ferula species

How do rhizosphere fungal communities vary among Ferula species in their native habitats?

ITS · Community ecology · R

My contribution: First and corresponding author, connecting community-data analysis and manuscript writing with questions in rhizosphere ecology.

Published in Rhizosphere, 2026
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Soil metagenomes across Chilean environmental gradients

How does soil microbial functional potential vary with environmental conditions and soil depth?

Metagenomics · Functional profiles · R

My contribution: Downstream data analysis, statistics, ecological interpretation and manuscript writing, using upstream bioinformatics generated by collaborators.

Submitted to Environmental Microbiome

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Publications

  1. 04
    2024FIRST AUTHOR

    The effects of climate and soil depth on living and dead bacterial communities along a longitudinal gradient in Chile

    Xiuling Wang, Lars Ganzert, Alexander Bartholomäus, Rahma Amen, Sizhong Yang, Carolina Merino Guzmán, Francisco Matus, Maria Fernanda Albornoz, Felipe Aburto, Rómulo Oses-Pedraza, Thomas Friedl, Dirk Wagner

    Science of the Total Environment · 945 · 173846

    Journal metrics & rankings
    JCR 2024 (PUBLICATION YEAR) · IF 8.0 · Q1XinRui Ranking 2026 · Not currently listed

Manuscripts in Progress

  1. 01
    2026FIRST & CORRESPONDING AUTHORUnder peer review

    Soil archaeal communities in intra- and extracellular DNA share broad regional patterns but diverge locally along the Chilean Coastal Cordillera

    Xiuling Wang, Alexander Bartholomäus, Lars Ganzert, Thomas Friedl, Rómulo Oses, Dirk Wagner

    Under review at: Applied Soil Ecology

  2. 02
    2026FIRST & CORRESPONDING AUTHORSUBMITTED

    Regional differentiation and genomic context of microbial resource-use potential along the Chilean Coastal Cordillera

    Xiuling Wang, Alexander Bartholomäus, Sizhong Yang, Thomas Friedl, Rómulo Oses, Dirk Wagner

    Submitted to: Environmental Microbiome

  3. 03
    2026SECOND AUTHORIN PREPARATION

    Pseudomonas araucana sp. nov., a novel species of the family Pseudomonadaceae isolated from forest soil under humid temperate climate

    Sophia Guhr, Xiuling Wang, Julia Mitzscherling, Daniel Lipus, Alexander Bartholomäus, Kai Mangelsdorf, Rómulo Oses, Dirk Wagner

    Target journal: International Journal of Systematic and Evolutionary Microbiology

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Experience

Education

Doctoral research in Microbiology

University of Potsdam · doctoral dissertation in progress.

MSc in Ecology

Shihezi University · microbial ecology

BSc in Geographical Sciences

Zhengzhou Normal University

Research Experience

Doctoral dissertation & collaborative research · China

Thesis synthesis, collaborative analyses and manuscript revisions.

Doctoral research & research stay

GFZ German Research Centre for Geosciences · Geomicrobiology · Potsdam

Research Intern

Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences

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Skills

Microbiome analysis, ecological statistics, molecular methods and reproducible research workflows.

Statistics & microbiome data

Community and network analyses, multivariate statistics and scientific visualisation, connecting microbiome and environmental data with ecological interpretation.

Ecological statisticsCommunity analysisNetworksVisualisation

R & reproducible computation

Proficient in R, with around five years of experience (2021–present) in data wrangling, statistical modelling, microbial community analysis and visualisation, using R packages including tidyverse and ggplot2.

Rtidyverseggplot2Reproducible analysis

Microbial ecology laboratory work

Low-biomass soil DNA extraction, intracellular/extracellular DNA separation, PCR, qPCR, library preparation and microbial cultivation; experience in upstream and downstream 16S/ITS amplicon analysis and downstream metagenomic analysis.

16SITSMetagenomicsqPCR

Computational workflows & AI-assisted research

AI-assisted coding and reproducible workflows.

Contact & Collaboration

Research opportunities & collaboration

I welcome collaborations and research exchanges in microbial ecology, microbiome science and soil microbiology.