| Literature DB >> 30792484 |
Rebecca Kirby1, Heather E Johnson2,3, Mathew W Alldredge4, Jonathan N Pauli5.
Abstract
Human foods have become a pervasive subsidy in many landscapes, and can dramatically alter wildlife behavior, physiology, and demography. While such subsidies can enhance wildlife condition, they can also result in unintended negative consequences on individuals and populations. Seasonal hibernators possess a remarkable suite of adaptations that increase survival and longevity in the face of resource and energetic limitations. Recent work has suggested hibernation may also slow the process of senescence, or cellular aging. We investigated how use of human foods influences hibernation, and subsequently cellular aging, in a large-bodied hibernator, black bears (Ursus americanus). We quantified relative telomere length, a molecular marker for cellular age, and compared lengths in adult female bears longitudinally sampled over multiple seasons. We found that bears that foraged more on human foods hibernated for shorter periods of time. Furthermore, bears that hibernated for shorter periods of time experienced accelerated telomere attrition. Together these results suggest that although hibernation may ameliorate cellular aging, foraging on human food subsidies could counteract this process by shortening hibernation. Our findings highlight how human food subsidies can indirectly influence changes in aging at the molecular level.Entities:
Year: 2019 PMID: 30792484 PMCID: PMC6385323 DOI: 10.1038/s41598-019-38937-5
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Models ranked by AICc to predict: (a) hibernation length over one winter, with age and δ13C signature of bear hair sampled in the preceding summer as covariates (n = 15); (b) average monthly telomere length change, with age, oxidative stress, and hibernation length over the study period as covariates (n = 30).
| AICc | ΔAICc | weight | Adj. R2 | |
|---|---|---|---|---|
|
| ||||
| δ13C | 132.48 | 0.00 | 0.60 | 0.44 |
| δ13C + Age | 134.26 | 1.78 | 0.25 | 0.47 |
| Age | 135.57 | 3.09 | 0.13 | 0.32 |
| Intercept only | 139.19 | 6.71 | 0.02 | |
|
| ||||
| Hibernation | −176.08 | 0.00 | 0.39 | 0.12 |
| Age | −174.38 | 1.70 | 0.17 | 0.07 |
| Intercept only | −173.76 | 2.32 | 0.12 | — |
| Hibernation + Oxidative stress | −173.49 | 2.60 | 0.11 | 0.09 |
| Hibernation + Age | −173.49 | 2.60 | 0.11 | 0.09 |
| Age + Oxidative stress | −172.00 | 4.09 | 0.05 | 0.04 |
| Oxidative stress | −171.40 | 4.68 | 0.04 | 0.00 |
| Hibernation + Age + Oxidative stress | −170.70 | 5.38 | 0.03 | 0.06 |
Figure 1(A) Hibernation length for each bear (over one winter) regressed on the δ13C signature of bear hair sampled in the preceding summer (n = 15), showing a relationship between increased enrichment in δ13C and shorter hibernation lengths. (B) Average monthly telomere length (RTL) change regressed against hibernation lengths (days) for each bear (n = 30), exhibiting a relationship between longer hibernation length and slower rate of telomere shortening, and even telomere lengthening.
Models ranked by AICc to predict measures of: (a) oxidative damage (ROM) and (b) antioxidant capacity in black bear serum (unique bears = 28 and samples = 84, with repeated bear samples accounted for with a random effect. Fixed effects included age, season (active/summer or hibernation/winter), and reproductive status at summer sampling (barren or with cubs, as yearlings had already dispersed).
| AICc | ΔAICc | weight | marginal | conditional | |
|---|---|---|---|---|---|
|
| |||||
| Age + Season + Breeding status | 506.36 | 0.00 | 1.00 | 0.26 | 0.42 |
| Age + Breeding status | 519.39 | 13.03 | 0.00 | 0.15 | 0.41 |
| Age + Season | 519.54 | 13.18 | 0.00 | 0.13 | 0.34 |
| Age | 531.17 | 24.81 | 0.00 | 0.04 | 0.27 |
| Season + Breeding status | 554.39 | 48.03 | 0.00 | 0.21 | 0.33 |
| Breeding status | 567.09 | 60.74 | 0.00 | 0.10 | 0.31 |
| Season | 567.21 | 60.85 | 0.00 | 0.10 | 0.27 |
| Intercept only | 578.20 | 71.84 | 0.00 | — | — |
|
| |||||
| Age + Season + Breeding status | 1011.64 | 0.00 | 0.96 | 0.01 | 0.53 |
| Age + Breeding status | 1017.88 | 6.24 | 0.04 | 0.01 | 0.54 |
| Age + Season | 1025.29 | 13.65 | 0.00 | 0.00 | 0.53 |
| Age | 1031.29 | 19.66 | 0.00 | 0.00 | 0.53 |
| Season + Breeding status | 1115.15 | 103.52 | 0.00 | 0.01 | 0.54 |
| Breeding status | 1121.19 | 109.55 | 0.00 | 0.01 | 0.55 |
| Season | 1128.93 | 117.29 | 0.00 | 0.00 | 0.54 |
| Intercept only | 1137.79 | 126.16 | 0.00 | — | — |