| Literature DB >> 29985431 |
David Costantini1,2,3, Peter A Seeber4, Sanatana-Eirini Soilemetzidou4, Walid Azab5, Julia Bohner6, Bayarbaatar Buuveibaatar7, Gábor Á Czirják4, Marion L East8, Eva Maria Greunz9,10, Petra Kaczensky11,12, Benjamin Lamglait13,14, Jörg Melzheimer15, Kenneth Uiseb16, Alix Ortega14, Nikolaus Osterrieder5, Ditte-Mari Sandgreen17, Marie Simon10, Chris Walzer11,18, Alex D Greenwood4,19.
Abstract
Viruses may have a dramatic impact on the health of their animal hosts. The patho-physiological mechanisms underlying viral infections in animals are, however, not well understood. It is increasingly recognized that oxidative stress may be a major physiological cost of viral infections. Here we compare three blood-based markers of oxidative status in herpes positive and negative individuals of the domestic horse (Equus ferus caballus) and of both captive and free-ranging Mongolian khulan (Equus hemionus hemionus) and plains zebra (Equus quagga). Herpes positive free-ranging animals had significantly more protein oxidative damage and lower glutathione peroxidase (antioxidant enzyme) than negative ones, providing correlative support for a link between oxidative stress and herpesvirus infection in free-living equids. Conversely, we found weak evidence for oxidative stress in herpes positive captive animals. Hence our work indicates that environment (captive versus free living) might affect the physiological response of equids to herpesvirus infection. The Mongolian khulan and the plains zebra are currently classified as near threatened by the International Union for Conservation of Nature. Thus, understanding health impacts of pathogens on these species is critical to maintaining viable captive and wild populations.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29985431 PMCID: PMC6037783 DOI: 10.1038/s41598-018-28688-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Number of positive animals (n) for each herpesvirus strain identified. The number of plains zebras from Namibia having a given strain is reported between brackets with the letter N (e.g., 1N means 1 plains zebra from Namibia).
| Species | Herpes strain(s) | n |
|---|---|---|
| Horse | EHV-1 | 1 |
| EHV-2 | 2 | |
| EHV-5 | 1 | |
| EHV-1 + EHV-2 | 1 | |
| EHV-1 + EHV-5 | 2 | |
| EHV-2 + EHV-5 | 4 | |
| EHV-1 + EHV-2 + EHV-5 | 2 | |
| Captive khulan | Wild ass Gamma HV | 6 |
| EHV-9 | 2 | |
| Captive zebra | EHV-5 | 1 |
| EHV-7 | 10 | |
| EHV-9 | 4 | |
| Zebra Gamma HV (=Equus zebra HV) | 1 | |
| Free-ranging khulan | AHV 5 | 4 |
| Wild ass Gamma HV | 4 | |
| EHV-1 | 1 | |
| EHV-7 | 1 | |
| EHV-9 | 1 | |
| AHV-5 + EHV-7 | 2 | |
| Wild ass Gamma HV + EHV-7 | 2 | |
| Free-ranging zebra | AHV-5 | 8(1N) |
| EHV-2 | 1 | |
| EHV-5 | 3(3N) | |
| EHV-7 | 4 | |
| EHV-9 | 2(1N) |
Figure 1Histograms showing means and standard errors of oxidative status markers measured in captive animals. Note that for captive plains zebras we reported means rather than medians to enable a direct comparison of marker values with the other groups and literature. The symbol * indicates a P-value ≤ 0.05; the symbol # = 0.057.
Outcomes of generalized linear models including free-ranging khulan and zebras.
| Variable | Factor | Wald | P |
|---|---|---|---|
| Protein carbonyls | Species | 24.87 |
|
| Herpes | 5.82 |
| |
| Species × Herpes | 1.39 | 0.239 | |
| Glutathione peroxidase | Species | 14.22 |
|
| Herpes | 4.18 |
| |
| Species × Herpes | 0.18 | 0.674 | |
| Superoxide dismutase | Species | 1.02 | 0.313 |
| Herpes | 0.03 | 0.873 | |
| Species × Herpes | 0.02 | 0.889 |
Herpes refers to positive and negative animals. Significant P-values are shown in bold.
Figure 2Histograms showing least square means and standard errors of oxidative status markers measured in free-living animals. *Indicates a P-value < 0.05. Note that the p-value refers to the comparison between positive and negative animals irrespective of the species according to model’s outcomes.
Figure 3Estimates of effect size (standardized measure of the magnitude of a relationship) and 95% confidence interval calculated from all test statistics. Estimates are positive when values of a given marker are higher in herpes positive than negative animals.