Author

G. H. Reischer

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Organism:mouse· 3 Organism:rat· 3 Assay:metagenomics· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

C. Walzer· 3 shared G. Stalder· 3 shared N. D. Youngblut· 3 shared R. E. Ley· 3 shared A. H. Farnleitner· 2 shared N. Schuster· 2 shared S. Dauser· 2 shared A. Farnleitner· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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3 shared papersMicrobiology

C. Walzer

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Author profile →

3 papers

Recent·Most cited

Strong influence of vertebrate host phylogeny on gut archaeal diversity

N. D. Youngblut, G. H. Reischer, S. Dauser, C. Walzer, G. Stalder, A. H. Farnleitner, R. E. Ley

This study investigates the influence of vertebrate host phylogeny on gut archaeal diversity using 16S rRNA sequencing, finding that host phylogeny explains diversity more than diet.

bioRxiv · Nov 10, 2020 · PreprintMicrobiology

Large scale metagenome assembly reveals novel animal-associated microbial genomes, biosynthetic gene clusters, and other genetic diversity

N. D. Youngblut, J. de la Cuesta-Zuluaga, G. H. Reischer, S. Dauser, N. Schuster, C. Walzer, G. Stalder, A. Farnleitner, R. E. Ley

The paper performs large-scale metagenome assembly of animal gut microbiomes, revealing novel microbial genomes, biosynthetic gene clusters, and genetic diversity across vertebrates.

bioRxiv · Jun 5, 2020Microbiology

Host diet and evolutionary history explain different aspects of gut microbiome diversity among vertebrate clades

N. D. Youngblut, G. H. Reischer, W. Walters, N. Schuster, C. Walzer, G. Stalder, R. E. Ley, A. H. Farnleitner

The paper examines how host evolutionary history and diet influence gut microbiome diversity across vertebrate clades using a large dataset of wild animals.

bioRxiv · Dec 3, 2018Microbiology