Author

Linyang Sun

University of HelsinkiORCID 0000-0003-1148-0364Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 2 Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 4 Approach:statistical model· 4 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:multiple species· 1 Organism:non-human primate· 1

Frequent Co-Authors

Anne DuplouyiD· 4 shared Johan EkroosiD· 2 shared Andréa DavrincheiD· 1 shared Helen R. P. PhillipsiD· 1 shared li JiaxuaniD· 1 shared Marjo SaastamoineniD· 1 shared Natalie E. van DisiD· 1 shared Tina M. RaassinaiD· 1 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

8 top collaborators · 14 mutual co-author links

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4 shared papersMicrobiology

Anne DuplouyORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

MicrobiologybioRxivPreprintOct 19, 2026

The microbiota of a wild butterfly species over three decades of climate change

Linyang Sun, Natalie E. van Dis, Andréa Davrinche…·Anne Duplouy

The paper examines how climate change affects the microbiota of Glanville fritillary butterflies over 28 years, finding gradual shifts and recovery after a drought event.

DOI 10.64898/2026.06.08.730914

non-human primatemetagenomics

𝕏 PostBluesky

MicrobiologybioRxivPreprintOct 19, 2026

Bee phylosymbiosis: the relative importance of host phylogeny, behavioral traits, and environment

Linyang Sun, Johan Ekroos, Anne Duplouy

This study examines phylosymbiosis in bees, finding moderate patterns with lineage-specific microbial communities and weak ecological trait effects on microbiomes.

DOI 10.64898/2026.10.19.760025

multiple speciesmetagenomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 6, 2026

Meta2Data: Automated data processing for large scale microbiome data re-analysis

li Jiaxuan, Anne Duplouy, Linyang Sun

Meta2Data automates retrieval, standardization, and processing of microbiome sequencing data from public repositories for downstream analysis.

DOI 10.64898/2026.10.01.732036

metagenomicsstatistical model

𝕏 PostBluesky

EcologybioRxivPreprintSep 17, 2026

A meta-analysis on the effects of pollutants on the earthworm microbiota

Tina M. Raassina, Sun Linyang, Anne Duplouy, Helen R. P. Phillips

This study conducts a meta-analysis of 159 articles to assess the impact of pollutants on earthworm microbiota, finding no significant changes in diversity but compositional shifts.

DOI 10.64898/2026.09.14.751390

metagenomicsstatistical model

𝕏 PostBluesky