Using transcriptomics to predict and visualize disease status in bighorn sheep (
Journal
Conservation physiology
ISSN: 2051-1434
Titre abrégé: Conserv Physiol
Pays: England
ID NLM: 101656116
Informations de publication
Date de publication:
2022
2022
Historique:
received:
29
10
2021
revised:
18
02
2022
accepted:
17
06
2022
entrez:
7
7
2022
pubmed:
8
7
2022
medline:
8
7
2022
Statut:
epublish
Résumé
Increasing risk of pathogen spillover coupled with overall declines in wildlife population abundance in the Anthropocene make infectious disease a relevant concern for species conservation worldwide. While emerging molecular tools could improve our diagnostic capabilities and give insight into mechanisms underlying wildlife disease risk, they have rarely been applied in practice. Here, employing a previously reported gene transcription panel of common immune markers to track physiological changes, we present a detailed analysis over the course of both acute and chronic infection in one wildlife species where disease plays a critical role in conservation, bighorn sheep (
Identifiants
pubmed: 35795016
doi: 10.1093/conphys/coac046
pii: coac046
pmc: PMC9252122
doi:
Types de publication
Journal Article
Langues
eng
Pagination
coac046Informations de copyright
Published by Oxford University Press 2022.
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