Author

M. Alston

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Organism:Arabidopsis· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Buckling· 1 shared A. KIngston-Smith· 1 shared C. Creevey· 1 shared D. Swarbeck· 1 shared D. Swarbreck· 1 shared F. Bayer· 1 shared F. Kolar· 1 shared F. Rubino· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperMicrobiology

A. Buckling

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Microbiomes attached to fresh perennial ryegrass- are temporally resilient and adapt to changing ecological niches

S. Huws, J. Edwards, W. Lin, F. Rubino, M. Alston, D. Swarbeck, s. Caim, P. Rees Stevens, J. Pachebat, M.-Y. Won, L. Oyama, C. Creevey, A. KIngston-Smith

This study investigates temporal ecological interactions at the fresh perennial ryegrass-biofilm interface in the rumen using metatranscriptomic profiling, identifying distinct sub-microbiomes and their functional roles.

bioRxiv · Nov 17, 2020Microbiology

Genomic novelty versus convergence in the basis of adaptation to whole genome duplication

M. Bohutinska, M. Alston, P. Monnahan, T. Mandakov, S. Bray, P. Paajanen, F. Kolar, L. Yant

This paper compares genomic adaptation to whole genome duplication in two species, finding gene-level divergence but process-level convergence in meiosis and stress responses.

bioRxiv · Jan 31, 2020 · PreprintEvolutionary Biology

Predicting the structure and function of coalesced microbial communities

P. Sierocinski, K. Milferstedt, F. Bayer, T. Grosskopf, M. Alston, S. Bastkowski, D. Swarbreck, P. J. Hobbs, O. S. Soyer, J. Hamelin, A. Buckling

The paper shows that mixing methanogenic communities leads to increased methane production, driven by dominant, resource-efficient communities rather than average species performance.

bioRxiv · Jan 27, 2017Microbiology