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Harrison XA, McDevitt AD, Dunn JC, Griffiths SM, Benvenuto C, Birtles R, Boubli JP, Bown K, Bridson C, Brooks DR, Browett SS, Carden RF, Chantrey J, Clever F, Coscia I, Edwards KL, Ferry N, Goodhead I, Highlands A, Hopper J, Jackson J, Jehle R, da Cruz Kaizer M, King T, Lea JMD, Lenka JL, McCubbin A, McKenzie J, de Moraes BLC, O'Meara DB, Pescod P, Preziosi RF, Rowntree JK, Shultz S, Silk MJ, Stockdale JE, Symondson WOC, de la Pena MV, Walker SL, Wood MD, Antwis RE. Fungal microbiomes are determined by host phylogeny and exhibit widespread associations with the bacterial microbiome. Proc Biol Sci 2021; 288:20210552. [PMID: 34403636 PMCID: PMC8370808 DOI: 10.1098/rspb.2021.0552] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 07/14/2021] [Indexed: 12/30/2022] Open
Abstract
Interactions between hosts and their resident microbial communities are a fundamental component of fitness for both agents. Though recent research has highlighted the importance of interactions between animals and their bacterial communities, comparative evidence for fungi is lacking, especially in natural populations. Using data from 49 species, we present novel evidence of strong covariation between fungal and bacterial communities across the host phylogeny, indicative of recruitment by hosts for specific suites of microbes. Using co-occurrence networks, we demonstrate marked variation across host taxonomy in patterns of covariation between bacterial and fungal abundances. Host phylogeny drives differences in the overall richness of bacterial and fungal communities, but the effect of diet on richness was only evident in the mammalian gut microbiome. Sample type, tissue storage and DNA extraction method also affected bacterial and fungal community composition, and future studies would benefit from standardized approaches to sample processing. Collectively these data indicate fungal microbiomes may play a key role in host fitness and suggest an urgent need to study multiple agents of the animal microbiome to accurately determine the strength and ecological significance of host-microbe interactions.
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Affiliation(s)
| | - Allan D. McDevitt
- School of Science, Engineering and Environment, University of Salford, UK
| | - Jenny C. Dunn
- School of Life Sciences, Joseph Banks Laboratories, University of Lincoln, UK
| | - Sarah M. Griffiths
- Ecology and Environment Research Centre, Department of Natural Sciences, Manchester Metropolitan University, UK
| | - Chiara Benvenuto
- School of Science, Engineering and Environment, University of Salford, UK
| | - Richard Birtles
- School of Science, Engineering and Environment, University of Salford, UK
| | - Jean P. Boubli
- School of Science, Engineering and Environment, University of Salford, UK
| | - Kevin Bown
- School of Science, Engineering and Environment, University of Salford, UK
| | - Calum Bridson
- Ecology and Environment Research Centre, Department of Natural Sciences, Manchester Metropolitan University, UK
- Department of Earth and Environmental Sciences, University of Manchester, UK
| | - Darren R. Brooks
- School of Science, Engineering and Environment, University of Salford, UK
| | - Samuel S. Browett
- School of Science, Engineering and Environment, University of Salford, UK
| | - Ruth F. Carden
- School of Archaeology, University College Dublin, Ireland
- Wildlife Ecological and Osteological Consultancy, Wicklow, Ireland
| | - Julian Chantrey
- Institute of Veterinary Science, University of Liverpool, UK
| | - Friederike Clever
- Ecology and Environment Research Centre, Department of Natural Sciences, Manchester Metropolitan University, UK
- Smithsonian Tropical Research Institute, Ancon, Republic of Panama
| | - Ilaria Coscia
- School of Science, Engineering and Environment, University of Salford, UK
| | - Katie L. Edwards
- North of England Zoological Society, Chester Zoo, Upton-by-Chester, UK
| | - Natalie Ferry
- School of Science, Engineering and Environment, University of Salford, UK
| | - Ian Goodhead
- School of Science, Engineering and Environment, University of Salford, UK
| | - Andrew Highlands
- School of Science, Engineering and Environment, University of Salford, UK
| | - Jane Hopper
- The Aspinall Foundation, Port Lympne Reserve, Hythe, Kent, UK
| | - Joseph Jackson
- School of Science, Engineering and Environment, University of Salford, UK
| | - Robert Jehle
- School of Science, Engineering and Environment, University of Salford, UK
| | | | - Tony King
- The Aspinall Foundation, Port Lympne Reserve, Hythe, Kent, UK
- School of Anthropology and Conservation, University of Kent, UK
| | - Jessica M. D. Lea
- Department of Earth and Environmental Sciences, University of Manchester, UK
| | - Jessica L. Lenka
- School of Science, Engineering and Environment, University of Salford, UK
| | | | - Jack McKenzie
- School of Science, Engineering and Environment, University of Salford, UK
| | | | - Denise B. O'Meara
- School of Science and Computing, Waterford Institute of Technology, Ireland
| | - Poppy Pescod
- School of Science, Engineering and Environment, University of Salford, UK
| | - Richard F. Preziosi
- Ecology and Environment Research Centre, Department of Natural Sciences, Manchester Metropolitan University, UK
| | - Jennifer K. Rowntree
- Ecology and Environment Research Centre, Department of Natural Sciences, Manchester Metropolitan University, UK
| | - Susanne Shultz
- Department of Earth and Environmental Sciences, University of Manchester, UK
| | | | - Jennifer E. Stockdale
- School of Biosciences, University of Cardiff, UK
- School of Life Sciences, University of Nottingham, UK
| | | | | | - Susan L. Walker
- North of England Zoological Society, Chester Zoo, Upton-by-Chester, UK
| | - Michael D. Wood
- School of Science, Engineering and Environment, University of Salford, UK
| | - Rachael E. Antwis
- School of Science, Engineering and Environment, University of Salford, UK
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Antwis RE, Lea JMD, Unwin B, Shultz S. Gut microbiome composition is associated with spatial structuring and social interactions in semi-feral Welsh Mountain ponies. Microbiome 2018; 6:207. [PMID: 30466491 PMCID: PMC6251106 DOI: 10.1186/s40168-018-0593-2] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 11/07/2018] [Indexed: 05/04/2023]
Abstract
BACKGROUND Microbiome composition is linked to host functional traits including metabolism and immune function. Drivers of microbiome composition are increasingly well-characterised; however, evidence of group-level microbiome convergence is limited and may represent a multi-level trait (i.e. across individuals and groups), whereby heritable phenotypes are influenced by social interactions. Here, we investigate the influence of spatial structuring and social interactions on the gut microbiome composition of Welsh mountain ponies. RESULTS We show that semi-feral ponies exhibit variation in microbiome composition according to band (group) membership, in addition to considerable within-individual variation. Spatial structuring was also identified within bands, suggesting that despite communal living, social behaviours still influence microbiome composition. Indeed, we show that specific interactions (i.e. mother-offspring and stallion-mare) lead to more similar microbiomes, further supporting the notion that individuals influence the microbiome composition of one another and ultimately the group. Foals exhibited different microbiome composition to sub-adults and adults, most likely related to differences in diet. CONCLUSIONS We provide novel evidence that microbiome composition is structured at multiple levels within populations of social mammals and thus may form a unit on which selection can act. High levels of within-individual variation in microbiome composition, combined with the potential for social interactions to influence microbiome composition, suggest the direction of microbiome selection may be influenced by the individual members present in the group. Although the functional implications of this require further research, these results lend support to the idea that multi-level selection can act on microbiomes.
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Affiliation(s)
- Rachael E. Antwis
- School of Environment and Life Sciences, University of Salford, Salford, UK
| | - Jessica M. D. Lea
- School of Earth and Environmental Sciences, University of Manchester, Manchester, UK
| | - Bryony Unwin
- School of Environment and Life Sciences, University of Salford, Salford, UK
| | - Susanne Shultz
- School of Earth and Environmental Sciences, University of Manchester, Manchester, UK
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Lea JMD, Keen AN, Nudds RL, Shiels HA. Kinematics and energetics of swimming performance during acute warming in brown trout Salmo trutta. J Fish Biol 2016; 88:403-417. [PMID: 26563644 DOI: 10.1111/jfb.12788] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2014] [Accepted: 08/06/2015] [Indexed: 06/05/2023]
Abstract
This study examined how acute warming of water temperature affects the mechanical efficiency of swimming and aerobic capabilities of the brown trout Salmo trutta. Swimming efficiency was assessed using the relationship between swimming kinematics and forward speed (U), which is thought to converge upon an optimum range of a dimensionless parameter, the Strouhal number (St ). Swim-tunnel intermittent stopped-flow respirometry was used to record kinematics and measure oxygen consumption (ṀO2) of S. trutta during warming and swimming challenges. Salmo trutta maintained St between 0·2 and 0·3 at any given U over a range of temperatures, irrespective of body size. The maintenance of St within the range for maximum efficiency for oscillatory propulsion was achieved through an increase in tail-beat frequency (ftail) and a decrease in tail-beat amplitude (A) as temperature increased. Maintenance of efficient steady-state swimming was fuelled by aerobic metabolism, which increased as temperature increased up to 18° C but declined above this temperature, decreasing the apparent metabolic scope. As St was maintained over the full range of temperatures whilst metabolic scope was not, the results may suggest energetic trade-offs at any given U at temperatures above thermal optima.
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Affiliation(s)
- J M D Lea
- Faculty of Life Sciences, University of Manchester, Manchester, M13 9NT, U.K
| | - A N Keen
- Faculty of Life Sciences, University of Manchester, Manchester, M13 9NT, U.K
| | - R L Nudds
- Faculty of Life Sciences, University of Manchester, Manchester, M13 9NT, U.K
| | - H A Shiels
- Faculty of Life Sciences, University of Manchester, Manchester, M13 9NT, U.K
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