{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Romer AS"],"funding":["Division of Environmental Biology","Tennessee Wildlife Resources Agency","Division of Emerging Frontiers","Division of Mathematical Sciences"],"pagination":["e14411"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11959348"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["39(2)"],"pubmed_abstract":["Emerging infectious diseases are increasingly recognized as a significant threat to global biodiversity conservation. Elucidating the relationship between pathogens and the host microbiome could lead to novel approaches for mitigating disease impacts. Pathogens can alter the host microbiome by inducing dysbiosis, an ecological state characterized by a reduction in bacterial alpha diversity, an increase in pathobionts, or a shift in beta diversity. We used the snake fungal disease (SFD; ophidiomycosis), system to examine how an emerging pathogen may induce dysbiosis across two experimental scales. We used quantitative polymerase chain reaction, bacterial amplicon sequencing, and a deep learning neural network to characterize the skin microbiome of free-ranging snakes across a broad phylogen"],"journal":["Conservation biology : the journal of the Society for Conservation Biology"],"pubmed_title":["Effects of snake fungal disease (ophidiomycosis) on the skin microbiome across two major experimental scales."],"pmcid":["PMC11959348"],"funding_grant_id":["CAREER 2236580","REU 1757493","2125065","1933925","State Wildlife Grant 58209"],"pubmed_authors":["Cobb VA","Rurik AJ","Grisnik M","Dallas JW","Godwin C","Frost C","Phillips JL","Cummins CE","Hardman RH","Colvin R","Hanscom RJ","Alexander NR","Murray CM","Clark RW","Moe KC","Sutton W","Walker DM","Eaker J","Romer AS","Blanchard T","Ludwig DW","Thames D","Campbell J","Snyder SD","Ogle C","Brubaker RL"],"additional_accession":[]},"is_claimable":false,"name":"Effects of snake fungal disease (ophidiomycosis) on the skin microbiome across two major experimental scales.","description":"Emerging infectious diseases are increasingly recognized as a significant threat to global biodiversity conservation. Elucidating the relationship between pathogens and the host microbiome could lead to novel approaches for mitigating disease impacts. Pathogens can alter the host microbiome by inducing dysbiosis, an ecological state characterized by a reduction in bacterial alpha diversity, an increase in pathobionts, or a shift in beta diversity. We used the snake fungal disease (SFD; ophidiomycosis), system to examine how an emerging pathogen may induce dysbiosis across two experimental scales. We used quantitative polymerase chain reaction, bacterial amplicon sequencing, and a deep learning neural network to characterize the skin microbiome of free-ranging snakes across a broad phylogen","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2026-06-01T05:40:35.322Z","creation":"2025-07-01T03:05:43.219Z"},"accession":"S-EPMC11959348","cross_references":{"pubmed":["39530499"],"doi":["10.1111/cobi.14411"]}}