Papers by Hannah Diebboll
Additional file 9 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 9. Deblur sOTU table (biom file) for the marine external microbiomes (266 samples... more Additional file 9. Deblur sOTU table (biom file) for the marine external microbiomes (266 samples), rarefied to 1000 reads/sample.
Additional file 7 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 7. Deblur sOTU table (biom file) for the internal microbiome (741 samples), raref... more Additional file 7. Deblur sOTU table (biom file) for the internal microbiome (741 samples), rarefied to 1000 reads/sample.
Additional file 5 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 5. Filtered metadata file for marine external microbiomes (266 samples).
Additional file 8 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 8. Deblur sOTU table (biom file) for the external microbiomes (1193 samples), rar... more Additional file 8. Deblur sOTU table (biom file) for the external microbiomes (1193 samples), rarefied to 1000 reads/sample.
Additional file 3 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 3. Filtered metadata file for internal microbiomes (741 samples).
Additional file 6 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 6. Deblur sOTU table (biom file) for the full dataset, not rarefied.
Additional file 11 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 11. Fasta file to match OTU number with deblur sequence ID.
Additional file 12 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 12. Phylogenetic tree file used for analyses on data subsets.
Additional file 1 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 1. Supplementary tables and figures [136–158].
Additional file 13 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 13. Review history.
Additional file 4 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 4. Filtered metadata file for external microbiomes (1193 samples).
Additional file 2 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 2. Full metadata file (15,790 samples), unfiltered.
Additional file 10 of Host-associated microbiomes are predicted by immune system complexity and climate
Additional file 10. RepSet fasta file for the full dataset.
Genome Biology, 2020
Following publication of the original paper [1], it was reported that an error in the processing ... more Following publication of the original paper [1], it was reported that an error in the processing of Fig. 8 occurred. In the online HTML version of the article, Fig. 8 was presented as a duplication of Fig. 7. The original article [1] has been corrected.
Genome Biology, 2020
Background Host-associated microbiomes, the microorganisms occurring inside and on host surfaces,... more Background Host-associated microbiomes, the microorganisms occurring inside and on host surfaces, influence evolutionary, immunological, and ecological processes. Interactions between host and microbiome affect metabolism and contribute to host adaptation to changing environments. Meta-analyses of host-associated bacterial communities have the potential to elucidate global-scale patterns of microbial community structure and function. It is possible that host surface-associated (external) microbiomes respond more strongly to variations in environmental factors, whereas internal microbiomes are more tightly linked to host factors. Results Here, we use the dataset from the Earth Microbiome Project and accumulate data from 50 additional studies totaling 654 host species and over 15,000 samples to examine global-scale patterns of bacterial diversity and function. We analyze microbiomes from non-captive hosts sampled from natural habitats and find patterns with bioclimate and geophysical ...
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Papers by Hannah Diebboll