ArticleConservation physiology2022
Using transcriptomics to predict and visualize disease status in bighorn sheep (
Article in Conservation physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 15 citations in OpenAlex.
- Identification of genes related to ketosis in dairy cows and establishment of early detection method for aryl hydrocarbon receptor gene.Frontiers in veterinary science · 2026Article
- Understanding Climate Change Threats to Vertebrate Wildlife by Studying Ecoimmunology Across Biological Scales.Integrative and comparative biology · 2025Review
- Life at new extremes: Integrating stress physiology and the bio-exposome in the Anthropocene.Annals of the New York Academy of Sciences · 2025Review
- Pathogen delivery route impacts disease severity in experimental Mycoplasma ovipneumoniae infection of domestic lambs.Veterinary research · 2025Article
- Bighorn sheep show similar in-host responses to the same pathogen strain in two contrasting environments.Ecology and evolution · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 (
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.