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The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes

Urheber*innen

Avila Santos,  Anderson Paulo
External Organizations;

Kabiru Nata’ala,  Muhammad
External Organizations;

Kasmanas,  Jonas Coelho
External Organizations;

/persons/resource/abartho

Bartholomäus,  Alexander
3.7 Geomicrobiology, 3.0 Geochemistry, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Keller-Costa,  Tina
External Organizations;

Jurburg,  Stephanie D.
External Organizations;

Tal,  Tamara
External Organizations;

Camarinha-Silva,  Amélia
External Organizations;

Saraiva,  João Pedro
External Organizations;

Ponce de Leon Ferreira de Carvalho,  André Carlos
External Organizations;

Stadler,  Peter F.
External Organizations;

Sipoli Sanches,  Danilo
External Organizations;

Rocha,  Ulisses
External Organizations;

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5023648.pdf
(Verlagsversion), 4MB

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Zitation

Avila Santos, A. P., Kabiru Nata’ala, M., Kasmanas, J. C., Bartholomäus, A., Keller-Costa, T., Jurburg, S. D., Tal, T., Camarinha-Silva, A., Saraiva, J. P., Ponce de Leon Ferreira de Carvalho, A. C., Stadler, P. F., Sipoli Sanches, D., Rocha, U. (2023): The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes. - Animal Microbiome, 5, 48.
https://doi.org/10.1186/s42523-023-00267-3


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5023648
Zusammenfassung
Metagenomic data can shed light on animal-microbiome relationships and the functional potential of these communities. Over the past years, the generation of metagenomics data has increased exponentially, and so has the availability and reusability of data present in public repositories. However, identifying which datasets and associated metadata are available is not straightforward. We created the Animal-Associated Metagenome Metadata Database (AnimalAssociatedMetagenomeDB - AAMDB) to facilitate the identification and reuse of publicly available non-human, animal-associated metagenomic data, and metadata. Further, we used the AAMDB to (i) annotate common and scientific names of the species; (ii) determine the fraction of vertebrates and invertebrates; (iii) study their biogeography; and (iv) specify whether the animals were wild, pets, livestock or used for medical research.