Author

Matti Gralka

Vrije Universiteit AmsterdamORCID 0000-0003-4599-1859Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Matti Gralka2 papers

Biology Disciplines

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Microbiology· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Assay:metabolomics· 1 Assay:metagenomics· 1

Frequent Co-Authors

Baltus A. van der SteeniD· 1 shared Carolina Mabel González-Rosales· 1 shared Maliheh MehrshadiD· 1 shared Mark DopsoniD· 1 shared Maryam Rezaei Somee· 1 shared Sarah F FlickingeriD· 1 shared Stefan BertilssoniD· 1 shared Stephanie J. TurneriD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperMicrobiology

Baltus A. van der SteenORCID

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3 papers

Recent·Most cited

MicrobiologyEnvironmental MicrobiomePeer-reviewedFeb 17, 2026

Cross-feeding options define eco-evolutionary dynamics of deep oligotrophic groundwater microbiome

Maryam Rezaei Somee, Carolina Mabel González-Rosales, Matti Gralka…·Maliheh Mehrshad

The paper investigates eco-evolutionary dynamics in deep groundwater microbiomes by analyzing cross-feeding interactions and genome size relationships across different depths.

6 citationstop 3%

metagenomicsstatistical model

𝕏 PostBluesky

MicrobiologyThe ISME JournalPeer-reviewedJan 1, 2026

Rapid resistance evolution against phage cocktails

Baltus A. van der Steen, Matti Gralka, Yuval Mulla

This study shows how bacteria rapidly develop resistance to multiple phages by sequentially acquiring resistance as phages replicate at different times, and identifies strategies to prevent this resistance.

4 citationstop 5%

statistical model

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MicrobiologybioRxivPreprintOct 25, 2025

Biosynthesis cost and catabolic pathway length explain frequency of amino acid utilization as carbon sources by bacteria

Sarah F Flickinger, Matti Gralka

The paper shows that bacteria prefer amino acids with low biosynthesis cost and short catabolic pathways as carbon sources.

DOI 10.1101/2025.10.25.684513

bacteria (other)metabolomics

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