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Tracy AM, Pagenkopp Lohan KM, Carnegie RB, McCollough CB, Southworth M, Ogburn MB. Co-infection is linked to infection prevalence and intensity in oysters amidst high environmental and spatial variation. J Invertebr Pathol 2024; 207:108201. [PMID: 39322009 DOI: 10.1016/j.jip.2024.108201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 08/29/2024] [Accepted: 09/18/2024] [Indexed: 09/27/2024]
Abstract
Co-infecting parasites modify infection outcomes in the wild. However, it is unclear how multiple environmental factors influence co-infection. The Chesapeake Bay metapopulation of the eastern oyster, Crassostrea virginica, provides an opportunity to test the importance of co-infection across heterogeneous environments because multiple parasites infect oysters across a broad salinity gradient. This study leverages Maryland and Virginia oyster monitoring for a large-scale survey of four co-infecting organisms, including two tissue parasites and two shell bio-eroding parasites. We diagnosed infection in 440 oysters across 16 paired harvested and unharvested reefs and tested the importance of co-infecting organisms for each parasite relative to environmental conditions, host traits, and marine spatial management. Microscopic visual methods were used to diagnose prevalence and intensity of tissue infections with Perkinsus marinus (the causative agent of dermo disease) and Haplosporidium nelsoni (the causative agent of MSX disease). Macroscopic visual methods were used to diagnose prevalence and intensity of shell infections with Cliona boring sponges and blister-inducing Polydora worms. For the three oyster parasites that were detected [H. nelsoni infections were absent in all oysters], salinity was the overall strongest predictor, corresponding to bay-wide patterns of parasite prevalence and/or intensity. Despite high environmental and spatial variation, co-infections corresponded to altered prevalence and/or intensity for all three oyster parasites. The correlational patterns suggest that P. marinus acts as a lynchpin in co-infection, as its intensity increased with Cliona sponge prevalence and P. marinus co-infection predicted higher Polydora blister intensity. Oyster shell height, reef habitat, and harvest status also predicted parasite prevalence and intensity, further reflecting the multivariate drivers of infections in this system. Unharvested reefs had greater vertical habitat structure and higher intensities of Cliona sponge infections, but no differences in the prevalence of any of the three parasites. Spatial patterns unexpectedly show that reef-level predictors of parasite patterns were more important than differences between tributaries. This correlational survey provides novel insights through the statistical relationships between the three oyster parasites, environmental conditions, host traits, and human resource management. New and more detailed scenarios are needed to expand disease ecological theory to encompass co-infection in anthropogenically impacted wildlife populations.
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Affiliation(s)
- Allison M Tracy
- Institute of Marine and Environmental Technology, University of Maryland Baltimore County, 701 E. Pratt Street, Baltimore, MD, United States; Department of Marine Biotechnology, University of Maryland Baltimore County, 701 E. Pratt Street, Baltimore, MD, United States; Department of Microbiology & Immunology, University of Maryland Baltimore School of Medicine, 701 E. Pratt Street, Baltimore, MD, United States; Smithsonian Environmental Research Center, 647 Contees Wharf Rd, Edgewater, MD, United States.
| | | | - Ryan B Carnegie
- Virginia Institute of Marine Science, P.O. Box 1346, Gloucester Point, VA, United States
| | - Carol B McCollough
- Maryland Department of Natural Resources, Cooperative Oxford Laboratory, 904 Morris St, Oxford, MD, United States
| | - Melissa Southworth
- Virginia Institute of Marine Science, P.O. Box 1346, Gloucester Point, VA, United States
| | - Matthew B Ogburn
- Smithsonian Environmental Research Center, 647 Contees Wharf Rd, Edgewater, MD, United States
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Antonovics J, Amoroso CR, Bruns E, Hood M. Host density shapes the relative contribution of vector-based and aerial transmission of a pathogenic fungus. Ecology 2022; 104:e3970. [PMID: 36576452 PMCID: PMC10073241 DOI: 10.1002/ecy.3970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 11/22/2022] [Accepted: 11/29/2022] [Indexed: 12/29/2022]
Abstract
Pathogen transmission mode is a key determinant of epidemiological outcomes. Theory shows that host density can influence the spread of pathogens differentially depending on their mode of transmission. Host density could therefore play an important role in determining the pathogen transmission mode. We tested theoretical expectations using floral arrays of the alpine carnation Dianthus pavonius in field experiments of spore dispersal of the anther-smut fungus, Microbotryum, by vector (pollinator)-based floral transmission and passive aerial transmission at a range of host densities. Pollinators deposited fewer spores per plant at high host density than at lower density (ranging from a 0.2-2 m spacing between plants), and vector-based spore deposition at higher densities declined more steeply with distance from diseased plant sources. In contrast, while aerial spore deposition declined with distance from the diseased source, the steepness of this decline was independent of host density. Our study indicates that the amount and distance of vector-based transmission are likely to be a nonmonotonic function of host density as a result of vector behavior, which is not readily encapsulated by fixed dispersal functions. We conclude that the spatial spread of pathogens by vectors is likely to be greater at lower and intermediate densities, whereas the spatial spread of aerially transmitted pathogens would be greater at high densities. These contrasting patterns could lead to differential importance of each transmission mode in terms of its contribution to subsequent infections across host densities.
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Affiliation(s)
- Janis Antonovics
- Department of Biology, University of Virginia, Charlottesville, Virginia, USA
| | - Caroline R Amoroso
- Department of Biology, University of Virginia, Charlottesville, Virginia, USA
| | - Emily Bruns
- Department of Biology, University of Virginia, Charlottesville, Virginia, USA
| | - Michael Hood
- Department of Biology, Amherst College, Amherst, Massachusetts, USA
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Effects of predator modulation and vector preference on pathogen transmission in plant populations. Biosystems 2022; 222:104794. [DOI: 10.1016/j.biosystems.2022.104794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 11/19/2022]
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Keesing F, Ostfeld RS. Dilution effects in disease ecology. Ecol Lett 2021; 24:2490-2505. [PMID: 34482609 PMCID: PMC9291114 DOI: 10.1111/ele.13875] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 08/19/2021] [Indexed: 01/03/2023]
Abstract
For decades, people have reduced the transmission of pathogens by adding low‐quality hosts to managed environments like agricultural fields. More recently, there has been interest in whether similar ‘dilution effects’ occur in natural disease systems, and whether these effects are eroded as diversity declines. For some pathogens of plants, humans and other animals, the highest‐quality hosts persist when diversity is lost, so that high‐quality hosts dominate low‐diversity communities, resulting in greater pathogen transmission. Meta‐analyses reveal that these natural dilution effects are common. However, studying them remains challenging due to limitations on the ability of researchers to manipulate many disease systems experimentally, difficulties of acquiring data on host quality and confusion about what should and should not be considered a dilution effect. Because dilution effects are widely used in managed disease systems and have been documented in a variety of natural disease systems, their existence should not be considered controversial. Important questions remain about how frequently they occur and under what conditions to expect them. There is also ongoing confusion about their relationships to both pathogen spillover and general biogeographical correlations between diversity and disease, which has resulted in an inconsistent and confusing literature. Progress will require rigorous and creative research.
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