| Literature DB >> 19720009 |
Melissa A Miller1, Barbara A Byrne, Spencer S Jang, Erin M Dodd, Elene Dorfmeier, Michael D Harris, Jack Ames, David Paradies, Karen Worcester, David A Jessup, Woutrina A Miller.
Abstract
Although protected for nearly a century, California's sea otters have been slow to recover, in part due to exposure to fecally-associated protozoal pathogens like Toxoplasma gondii and Sarcocystis neurona. However, potential impacts from exposure to fecal bacteria have not been systematically explored. Using selective media, we examined feces from live and dead sea otters from California for specific enteric bacterial pathogens (Campylobacter, Salmonella, Clostridium perfringens, C. difficile and Escherichia coli O157:H7), and pathogens endemic to the marine environment (Vibrio cholerae, V. parahaemolyticus and Plesiomonas shigelloides). We evaluated statistical associations between detection of these pathogens in otter feces and demographic or environmental risk factors for otter exposure, and found that dead otters were more likely to test positive for C. perfringens, Campylobacter and V. parahaemolyticus than were live otters. Otters from more urbanized coastlines and areas with high freshwater runoff (near outflows of rivers or streams) were more likely to test positive for one or more of these bacterial pathogens. Other risk factors for bacterial detection in otters included male gender and fecal samples collected during the rainy season when surface runoff is maximal. Similar risk factors were reported in prior studies of pathogen exposure for California otters and their invertebrate prey, suggesting that land-sea transfer and/or facilitation of pathogen survival in degraded coastal marine habitat may be impacting sea otter recovery. Because otters and humans share many of the same foods, our findings may also have implications for human health.Entities:
Mesh:
Year: 2009 PMID: 19720009 PMCID: PMC2769548 DOI: 10.1051/vetres/2009049
Source DB: PubMed Journal: Vet Res ISSN: 0928-4249 Impact factor: 3.683
Figure 1.Map of central and southern California, showing the sample range for sea otters. Animals were sampled opportunistically from San Francisco southward, but most were obtained between Santa Cruz and Santa Barbara. Data were pooled into 3 groups for some analyses: Northern (thick black coastal line from San Francisco to Monterey), central coast (grey line from Monterey to Morro Bay) and south coast (thick black line from Morro Bay southward, inclusive of San Nicholas Island). The northern and southern regions are more urbanized, compared to the central coast.
Proportion of opportunistic enteric bacterial pathogens in sea otter feces using selective media.
| Bacterial species | All sampled otters (%) | Prevalence, live otters | Prevalence, dead otters |
|---|---|---|---|
| 27.5 | 13 | 46 | |
| 19.3 | 18 | 21 | |
| 17.3 | 23 | 10 | |
| 6.5 | 3 | 11 | |
| 6.0 | 4 | 8 | |
| 5.3 | 4 | 7 | |
| Other | 4.8 | 7 | 2 |
| 2.5 | 2 | 3 | |
| 1.4 | 1 | 2 | |
| 0.6 | 1 | 0 | |
| 0 | 0 | 0 |
n = 137 live southern sea otters, except for C. difficile and V. cholerae, where n = 96 otters.
n = 107 fresh dead sea otters, except for C. difficile and V. cholerae, where n = 98 otters.
Multivariate analysis of risk factors associated with detection of opportunistic enteric bacterial pathogens in sea otter feces.
| Risk factors | Bacterial groups | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All pathogens, no | ||||||||||||||||
| OR | OR | OR | OR | OR | OR | OR | ||||||||||
| Live-dead status | Live | 137 | 1 | – | 1 | – | 1 | – | 1 | – | ||||||
| Dead | 107 | 3.2 | 0.06 | 7.3 | < 0.001 | 0.2 | 0.001 | 2.3 | 0.007 | |||||||
| Gender | Female | 125 | 1 | – | 1 | – | 1 | – | ||||||||
| Male | 92 | 2.7 | 0.01 | 0.5 | 0.04 | 0.3 | 0.004 | |||||||||
| Human population | < 100 | 70 | 1 | – | 1 | – | 1 | – | 1 | – | ||||||
| 100–1 000 | 99 | 2 | 0.4 | 3.2 | 0.04 | 1.1 | 0.9 | 2 | 0.05 | |||||||
| 1 000–3 000 | 40 | 2.4 | 0.4 | 5 | 0.007 | 2.8 | 0.3 | 2.3 | 0.07 | |||||||
| > 3 000 | 35 | 4.6 | 0.09 | 3.9 | 0.03 | 5.7 | 0.05 | 2.3 | 0.07 | |||||||
| Freshwater outflow | Low | 148 | 1 | – | 1 | – | 1 | – | ||||||||
| Medium | 63 | 1.3 | 0.7 | 1.7 | 0.2 | 1.6 | 0.2 | |||||||||
| High | 33 | 3.1 | 0.1 | 2.7 | 0.04 | 2.1 | 0.09 | |||||||||
| Season | Dry | 139 | 1 | – | 1 | – | ||||||||||
| Wet | 115 | 2.7 | 0.004 | 0.3 | 0.002 | |||||||||||
OR = odds ratio.
Significantly different than reference category based on p values ≤ 0.1.
Environmental factors influencing detection of pathogenic bacteria or protozoa in sea otters and freshwater or marine invertebrates from coastal California.
| Pathogen group | Sample type | Risk factor | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Freshwater runoff | Coastal urbanization | Municipal sewage | Other anthropogenic sewage sources | Domestic animal waste | Wet season | Recent precip. | Water temp. > 12 °C | Reference | ||
| Freshwater clams | – | – | – | – | – | ↓, ±, *, † | – | – | [ | |
| Marine invertebrates | ↔ | ↔ | – | ↑ | ↑ | ↑ | ↓ | ↓ | [ | |
| Sea otters | ↑ | ↑ | ± | – | – | ↑, ↔ | – | – | Current study | |
| Freshwater clams | – | – | – | – | – | ↓ | – | – | [ | |
| Marine invertebrates | ↔ | ↔ | – | ↑ | ↑, ↓ | ↓, ↔ | ↓, ↔ | ↑, ↔ | [ | |
| Sea otters | ↑, ↔ | ↑, ↔ | ± | – | – | ↓, ↔ | – | – | Current study | |
| Freshwater clams | – | ↔ | ↔ | – | – | ↑ | ↔ | – | [ | |
| Marine invertebrates | ↑ | – | – | ↔ | ↔ | ↔ | ↑ | – | [ | |
| Freshwater clams | – | ↔ | ↔ | – | – | ↑ | ↔ | – | [ | |
| Sea otters | ↑ | ↔ | ↔ | – | – | ↔ | – | – | [ | |
| Sea otters | ↑ | – | – | – | – | ↑ | ↑ | – | [ | |
*, ↑ = Exposure to the risk factor resulted in an enhanced risk of bacterial detection; ↓ = Exposure resulted in a decreased risk of detection; ↔ = No affect on risk of detection; ± = Dataset insufficient to evaluate associations; – = Not evaluated; and † = In cases where > 1 possible outcome is listed, outcomes varied by bacterial species or group.