Ecological features of feather microbiota in breeding common swifts

We provide the first-ever investigation of feather microbiota by high throughput DNA sequencing for any bird species by describing bacteria found on the innermost tertial feather of 22 adult common swifts ( Apus apus ). We found feather microbiomes with large abundance of Bacillales, Actinomycetales...

Full description

Bibliographic Details
Main Authors: Musitelli, Federica, Ambrosini, Roberto, Caffi, Mario, Caprioli, Manuela, Rubolini, Diego, Saino, Nicola, Franzetti, Andrea, Gandolfi, Isabella
Format: Dataset
Language:unknown
Published: Taylor & Francis 2018
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.6402410.v1
https://tandf.figshare.com/articles/Ecological_features_of_feather_microbiota_in_breeding_common_swifts/6402410/1
id ftdatacite:10.6084/m9.figshare.6402410.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.6402410.v1 2023-05-15T14:17:14+02:00 Ecological features of feather microbiota in breeding common swifts Musitelli, Federica Ambrosini, Roberto Caffi, Mario Caprioli, Manuela Rubolini, Diego Saino, Nicola Franzetti, Andrea Gandolfi, Isabella 2018 https://dx.doi.org/10.6084/m9.figshare.6402410.v1 https://tandf.figshare.com/articles/Ecological_features_of_feather_microbiota_in_breeding_common_swifts/6402410/1 unknown Taylor & Francis https://dx.doi.org/10.1080/03949370.2018.1459865 https://dx.doi.org/10.6084/m9.figshare.6402410 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Microbiology FOS Biological sciences Evolutionary Biology Ecology dataset Dataset 2018 ftdatacite https://doi.org/10.6084/m9.figshare.6402410.v1 https://doi.org/10.1080/03949370.2018.1459865 https://doi.org/10.6084/m9.figshare.6402410 2021-11-05T12:55:41Z We provide the first-ever investigation of feather microbiota by high throughput DNA sequencing for any bird species by describing bacteria found on the innermost tertial feather of 22 adult common swifts ( Apus apus ). We found feather microbiomes with large abundance of Bacillales, Actinomycetales, Burkholderiales, Sphingobacteriales, Sphingomonadales, Rhizobiales, Pseudomonadales, Clostridiales, Rubrobacterales and Lactobacillales. Bacterial communities did not change with any feature of individual swifts. Network and cluster analysis of feather microbiomes disclosed three clusters, characterized by bacteria typical of seawater, plants and soil and unrelated to conditions at the breeding grounds. We hypothesize that feather microbiomes reflect, at least partly, airborne bacterial communities of the environments where individuals spent non-breeding periods, or of those that they crossed during migration, rather than breeding environment. If confirmed, this evidence may disclose the possibility to use feather bacteria as proxies for tracing non-breeding origin and routes of migratory birds. Dataset Apus apus DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Microbiology
FOS Biological sciences
Evolutionary Biology
Ecology
spellingShingle Microbiology
FOS Biological sciences
Evolutionary Biology
Ecology
Musitelli, Federica
Ambrosini, Roberto
Caffi, Mario
Caprioli, Manuela
Rubolini, Diego
Saino, Nicola
Franzetti, Andrea
Gandolfi, Isabella
Ecological features of feather microbiota in breeding common swifts
topic_facet Microbiology
FOS Biological sciences
Evolutionary Biology
Ecology
description We provide the first-ever investigation of feather microbiota by high throughput DNA sequencing for any bird species by describing bacteria found on the innermost tertial feather of 22 adult common swifts ( Apus apus ). We found feather microbiomes with large abundance of Bacillales, Actinomycetales, Burkholderiales, Sphingobacteriales, Sphingomonadales, Rhizobiales, Pseudomonadales, Clostridiales, Rubrobacterales and Lactobacillales. Bacterial communities did not change with any feature of individual swifts. Network and cluster analysis of feather microbiomes disclosed three clusters, characterized by bacteria typical of seawater, plants and soil and unrelated to conditions at the breeding grounds. We hypothesize that feather microbiomes reflect, at least partly, airborne bacterial communities of the environments where individuals spent non-breeding periods, or of those that they crossed during migration, rather than breeding environment. If confirmed, this evidence may disclose the possibility to use feather bacteria as proxies for tracing non-breeding origin and routes of migratory birds.
format Dataset
author Musitelli, Federica
Ambrosini, Roberto
Caffi, Mario
Caprioli, Manuela
Rubolini, Diego
Saino, Nicola
Franzetti, Andrea
Gandolfi, Isabella
author_facet Musitelli, Federica
Ambrosini, Roberto
Caffi, Mario
Caprioli, Manuela
Rubolini, Diego
Saino, Nicola
Franzetti, Andrea
Gandolfi, Isabella
author_sort Musitelli, Federica
title Ecological features of feather microbiota in breeding common swifts
title_short Ecological features of feather microbiota in breeding common swifts
title_full Ecological features of feather microbiota in breeding common swifts
title_fullStr Ecological features of feather microbiota in breeding common swifts
title_full_unstemmed Ecological features of feather microbiota in breeding common swifts
title_sort ecological features of feather microbiota in breeding common swifts
publisher Taylor & Francis
publishDate 2018
url https://dx.doi.org/10.6084/m9.figshare.6402410.v1
https://tandf.figshare.com/articles/Ecological_features_of_feather_microbiota_in_breeding_common_swifts/6402410/1
genre Apus apus
genre_facet Apus apus
op_relation https://dx.doi.org/10.1080/03949370.2018.1459865
https://dx.doi.org/10.6084/m9.figshare.6402410
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.6402410.v1
https://doi.org/10.1080/03949370.2018.1459865
https://doi.org/10.6084/m9.figshare.6402410
_version_ 1766289132196200448