TY - JOUR
T1 - The fecal bacterial microbiome of the Kuhl’s pipistrelle bat (Pipistrellus kuhlii) reflects landscape anthropogenic pressure
AU - Lobato-Bailón, Lourdes
AU - García-Ulloa, Manuel
AU - Santos, Andrés
AU - Guixé, David
AU - Camprodon, Jordi
AU - Florensa-Rius, Xavier
AU - Molleda, Raúl
AU - Manzano, Robert
AU - P. Ribas, Maria
AU - Espunyes, Johan
AU - Dias-Alves, Andrea
AU - Marco, Ignasi
AU - Migura-Garcia, Lourdes
AU - Martínez-Urtaza, Jaime
AU - Cabezón, Oscar
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/2/4
Y1 - 2023/2/4
N2 - Background: Anthropogenic disturbance has the potential to negatively affect wildlife health by altering food availability and diet composition, increasing the exposure to agrochemicals, and intensifying the contact with humans, domestic animals, and their pathogens. However, the impact of these factors on the fecal microbiome composition of wildlife hosts and its link to host health modulation remains barely explored. Here we investigated the composition of the fecal bacterial microbiome of the insectivorous bat Kuhl’s pipistrelle (Pipistrellus kuhlii) dwelling in four environmental contexts with different levels of anthropogenic pressure. We analyzed their microbiome composition, structure and diversity through full-length 16S rRNA metabarcoding using the nanopore long-read sequencer MinION™. We hypothesized that the bacterial community structure of fecal samples would vary across the different scenarios, showing a decreased diversity and richness in samples from disturbed ecosystems. Results: The fecal microbiomes of 31 bats from 4 scenarios were sequenced. A total of 4,829,302 reads were obtained with a taxonomic assignment percentage of 99.9% at genus level. Most abundant genera across all scenarios were Enterococcus, Escherichia/Shigella, Bacillus and Enterobacter. Alpha diversity varied significantly between the four scenarios (p < 0.05), showing the lowest Shannon index in bats from urban and intensive agriculture landscapes, while the highest alpha diversity value was found in near pristine landscapes. Beta diversity obtained by Bray–Curtis distance showed weak statistical differentiation of bacterial taxonomic profiles among scenarios. Furthermore, core community analysis showed that 1,293 genera were shared among localities. Differential abundance analyses showed that the highest differentially abundant taxa were found in near pristine landscapes, with the exception of the family Alcaligenaceae, which was also overrepresented in urban and intensive agriculture landscapes. Conclusions: This study suggests that near pristine and undisturbed landscapes could promote a more resilient gut microbiome in wild populations of P. kuhlii. These results highlight the potential of the fecal microbiome as a non-invasive bioindicator to assess insectivorous bats’ health and as a key element of landscape conservation strategies.
AB - Background: Anthropogenic disturbance has the potential to negatively affect wildlife health by altering food availability and diet composition, increasing the exposure to agrochemicals, and intensifying the contact with humans, domestic animals, and their pathogens. However, the impact of these factors on the fecal microbiome composition of wildlife hosts and its link to host health modulation remains barely explored. Here we investigated the composition of the fecal bacterial microbiome of the insectivorous bat Kuhl’s pipistrelle (Pipistrellus kuhlii) dwelling in four environmental contexts with different levels of anthropogenic pressure. We analyzed their microbiome composition, structure and diversity through full-length 16S rRNA metabarcoding using the nanopore long-read sequencer MinION™. We hypothesized that the bacterial community structure of fecal samples would vary across the different scenarios, showing a decreased diversity and richness in samples from disturbed ecosystems. Results: The fecal microbiomes of 31 bats from 4 scenarios were sequenced. A total of 4,829,302 reads were obtained with a taxonomic assignment percentage of 99.9% at genus level. Most abundant genera across all scenarios were Enterococcus, Escherichia/Shigella, Bacillus and Enterobacter. Alpha diversity varied significantly between the four scenarios (p < 0.05), showing the lowest Shannon index in bats from urban and intensive agriculture landscapes, while the highest alpha diversity value was found in near pristine landscapes. Beta diversity obtained by Bray–Curtis distance showed weak statistical differentiation of bacterial taxonomic profiles among scenarios. Furthermore, core community analysis showed that 1,293 genera were shared among localities. Differential abundance analyses showed that the highest differentially abundant taxa were found in near pristine landscapes, with the exception of the family Alcaligenaceae, which was also overrepresented in urban and intensive agriculture landscapes. Conclusions: This study suggests that near pristine and undisturbed landscapes could promote a more resilient gut microbiome in wild populations of P. kuhlii. These results highlight the potential of the fecal microbiome as a non-invasive bioindicator to assess insectivorous bats’ health and as a key element of landscape conservation strategies.
KW - 16S rRNA
KW - Anthropogenic disturbance
KW - Chiroptera
KW - Conservation
KW - Health indicator
KW - MinION
KW - Nanopore sequencing
KW - Wildlife
UR - http://www.scopus.com/inward/record.url?scp=85151442425&partnerID=8YFLogxK
U2 - 10.1186/s42523-023-00229-9
DO - 10.1186/s42523-023-00229-9
M3 - Article
C2 - 36739423
AN - SCOPUS:85151442425
VL - 5
SP - 7
JO - Animal Microbiome
JF - Animal Microbiome
IS - 1
M1 - 7
ER -