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Worsley SF, Davies CS, Lee CZ, Mannarelli ME, Burke T, Komdeur J, Dugdale HL, Richardson DS. Longitudinal gut microbiome dynamics in relation to age and senescence in a wild animal population. Mol Ecol 2024; 33:e17477. [PMID: 39010794 DOI: 10.1111/mec.17477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/25/2024] [Accepted: 05/15/2024] [Indexed: 07/17/2024]
Abstract
In humans, gut microbiome (GM) differences are often correlated with, and sometimes causally implicated in, ageing. However, it is unclear how these findings translate in wild animal populations. Studies that investigate how GM dynamics change within individuals, and with declines in physiological condition, are needed to fully understand links between chronological age, senescence and the GM, but have rarely been done. Here, we use longitudinal data collected from a closed population of Seychelles warblers (Acrocephalus sechellensis) to investigate how bacterial GM alpha diversity, composition and stability are associated with host senescence. We hypothesised that GM diversity and composition will differ, and become more variable, in older adults, particularly in the terminal year prior to death, as the GM becomes increasingly dysregulated due to senescence. However, GM alpha diversity and composition remained largely invariable with respect to adult age and did not differ in an individual's terminal year. Furthermore, there was no evidence that the GM became more heterogenous in senescent age groups (individuals older than 6 years), or in the terminal year. Instead, environmental variables such as season, territory quality and time of day, were the strongest predictors of GM variation in adult Seychelles warblers. These results contrast with studies on humans, captive animal populations and some (but not all) studies on non-human primates, suggesting that GM deterioration may not be a universal hallmark of senescence in wild animal species. Further work is needed to disentangle the factors driving variation in GM-senescence relationships across different host taxa.
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Affiliation(s)
- Sarah F Worsley
- School of Biological Sciences, University of East Anglia, Norfolk, UK
| | - Charli S Davies
- School of Biological Sciences, University of East Anglia, Norfolk, UK
| | - Chuen Zhang Lee
- School of Biological Sciences, University of East Anglia, Norfolk, UK
| | | | - Terry Burke
- NERC Biomolecular Analysis Facility, Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK
| | - Jan Komdeur
- Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
| | - Hannah L Dugdale
- Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
- Faculty of Biological Sciences, School of Biology, University of Leeds, Leeds, UK
| | - David S Richardson
- School of Biological Sciences, University of East Anglia, Norfolk, UK
- Nature Seychelles, Mahé, Republic of Seychelles
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2
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Luo B, Song J, Zhang J, Han J, Zhou X, Chen L. The contribution of circadian clock to the biological processes. Front Mol Biosci 2024; 11:1387576. [PMID: 38903177 PMCID: PMC11187296 DOI: 10.3389/fmolb.2024.1387576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 05/20/2024] [Indexed: 06/22/2024] Open
Abstract
All organisms have various circadian, behavioral, and physiological 24-h periodic rhythms, which are controlled by the circadian clock. The circadian clock controls various behavioral and physiological rhythms. In mammals, the primary circadian clock is present in the suprachiasmatic nucleus of the hypothalamus. The rhythm of the circadian clock is controlled by the interaction between negative and positive feedback loops, consisting of crucial clock regulators (including Bmal1 and Clock), three cycles (mPer1, mPer2, and mPer3), and two cryptochromes (Cry1 and Cry2). The development of early mammalian embryos is an ordered and complex biological process that includes stages from fertilized eggs to blastocysts and undergoes important morphological changes, such as blastocyst formation, cell multiplication, and compaction. The circadian clock affects the onset and timing of embryonic development. The circadian clock affects many biological processes, including eating time, immune function, sleep, energy metabolism, and endocrinology, therefore, it is also crucial for overall health, growth and development after birth. This review summarized the effects of the circadian clock in the body's physiological activities. A new strategy is proposed for the prevention of malformations or diseases by regulating the circadian clock or changing circadian rhythms.
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Affiliation(s)
- Beibei Luo
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Jiangyuan Song
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Jiaqi Zhang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Jun Han
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Xin Zhou
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Lili Chen
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
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3
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Marsh KJ, Bearhop S, Harrison XA. Linking microbiome temporal dynamics to host ecology in the wild. Trends Microbiol 2024:S0966-842X(24)00132-X. [PMID: 38797653 DOI: 10.1016/j.tim.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/29/2024] [Accepted: 05/01/2024] [Indexed: 05/29/2024]
Abstract
Ignoring the dynamic nature of microbial communities risks underestimating the power of microbes to impact the health of their hosts. Microbiomes are thought to be important for host fitness, yet the coarse temporal scale and population-level focus of many studies precludes the ability to investigate the importance of among-individual variation in stability and identify the ecological contexts in which this variation matters. Here we briefly summarise current knowledge of temporal dynamics in wild host-associated microbial communities. We then discuss the implications of among-individual variation in microbiota stability and suggest analytical approaches for understanding these patterns. One major requirement is for future studies to conduct individual-level longitudinal analyses, with some systems already well set up for answering these questions.
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Affiliation(s)
- Kirsty J Marsh
- College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Cornwall, UK.
| | - Stuart Bearhop
- College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Cornwall, UK
| | - Xavier A Harrison
- College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Cornwall, UK.
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4
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Dunbar A, Drigo B, Djordjevic SP, Donner E, Hoye BJ. Impacts of coprophagic foraging behaviour on the avian gut microbiome. Biol Rev Camb Philos Soc 2024; 99:582-597. [PMID: 38062990 DOI: 10.1111/brv.13036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 03/06/2024]
Abstract
Avian gut microbial communities are complex and play a fundamental role in regulating biological functions within an individual. Although it is well established that diet can influence the structure and composition of the gut microbiota, foraging behaviour may also play a critical, yet unexplored role in shaping the composition, dynamics, and adaptive potential of avian gut microbiota. In this review, we examine the potential influence of coprophagic foraging behaviour on the establishment and adaptability of wild avian gut microbiomes. Coprophagy involves the ingestion of faeces, sourced from either self (autocoprophagy), conspecific animals (allocoprophagy), or heterospecific animals. Much like faecal transplant therapy, coprophagy may (i) support the establishment of the gut microbiota of young precocial species, (ii) directly and indirectly provide nutritional and energetic requirements, and (iii) represent a mechanism by which birds can rapidly adapt the microbiota to changing environments and diets. However, in certain contexts, coprophagy may also pose risks to wild birds, and their microbiomes, through increased exposure to chemical pollutants, pathogenic microbes, and antibiotic-resistant microbes, with deleterious effects on host health and performance. Given the potentially far-reaching consequences of coprophagy for avian microbiomes, and the dearth of literature directly investigating these links, we have developed a predictive framework for directing future research to understand better when and why wild birds engage in distinct types of coprophagy, and the consequences of this foraging behaviour. There is a need for comprehensive investigation into the influence of coprophagy on avian gut microbiotas and its effects on host health and performance throughout ontogeny and across a range of environmental perturbations. Future behavioural studies combined with metagenomic approaches are needed to provide insights into the function of this poorly understood behaviour.
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Affiliation(s)
- Alice Dunbar
- Future Industries Institute (FII), University of South Australia, Mawson Lakes Campus, GPO Box 2471 5095, Adelaide, South Australia, Australia
| | - Barbara Drigo
- Future Industries Institute (FII), University of South Australia, Mawson Lakes Campus, GPO Box 2471 5095, Adelaide, South Australia, Australia
- UniSA STEM, University of South Australia, GPO Box 2471, Adelaide, South Australia, 5001, Australia
| | - Steven P Djordjevic
- Australian Institute for Microbiology and Infection, University of Technology Sydney, PO Box 123, Ultimo, New South Wales, 2007, Australia
- Australian Centre for Genomic Epidemiological Microbiology, University of Technology Sydney, PO Box 123, Ultimo, New South Wales, 2007, Australia
| | - Erica Donner
- Future Industries Institute (FII), University of South Australia, Mawson Lakes Campus, GPO Box 2471 5095, Adelaide, South Australia, Australia
- Cooperative Research Centre for Solving Antimicrobial Resistance in Agribusiness, Food, and Environments (CRC SAAFE), University of South Australia, GPO Box 2471 5095, Adelaide, South Australia, Australia
| | - Bethany J Hoye
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, New South Wales, 2522, Australia
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Moreno-Cortés ML, Meza-Alvarado JE, García-Mena J, Hernández-Rodríguez A. Chronodisruption and Gut Microbiota: Triggering Glycemic Imbalance in People with Type 2 Diabetes. Nutrients 2024; 16:616. [PMID: 38474745 DOI: 10.3390/nu16050616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/27/2024] [Accepted: 01/28/2024] [Indexed: 03/14/2024] Open
Abstract
The desynchronization of physiological and behavioral mechanisms influences the gut microbiota and eating behavior in mammals, as shown in both rodents and humans, leading to the development of pathologies such as Type 2 diabetes (T2D), obesity, and metabolic syndrome. Recent studies propose resynchronization as a key input controlling metabolic cycles and contributing to reducing the risk of suffering some chronic diseases such as diabetes, obesity, or metabolic syndrome. In this analytical review, we present an overview of how desynchronization and its implications for the gut microbiome make people vulnerable to intestinal dysbiosis and consequent chronic diseases. In particular, we explore the eubiosis-dysbiosis phenomenon and, finally, propose some topics aimed at addressing chronotherapy as a key strategy in the prevention of chronic diseases.
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Affiliation(s)
- María Luisa Moreno-Cortés
- Laboratorio de Biomedicina, Instituto de Investigaciones Biológicas, Universidad Veracruzana, Xalapa 91190, Veracruz, Mexico
| | | | - Jaime García-Mena
- Departamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, CDMX 07360, Mexico
| | - Azucena Hernández-Rodríguez
- Laboratorio de Biomedicina, Instituto de Investigaciones Biológicas, Universidad Veracruzana, Xalapa 91190, Veracruz, Mexico
- Facultad de Bioanálisis, Universidad Veracruzana, Xalapa 91010, Veracruz, Mexico
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6
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Cheng C, Li G, Yang X, Zhao J, Liu J, Zheng A, Zhang Z. High diversity, close genetic relatedness, and favorable living conditions benefit species co-occurrence of gut microbiota in Brandt's vole. Front Microbiol 2024; 15:1337402. [PMID: 38384265 PMCID: PMC10879610 DOI: 10.3389/fmicb.2024.1337402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
Introduction Revealing factors and mechanisms in determining species co-existence are crucial to community ecology, but studies using gut microbiota data are still lacking. Methods Using gut microbiota data of 556 Brandt's voles from 37 treatments in eight experiments, we examined the relationship of species co-occurrence of gut microbiota in Brandt's voles (Lasiopodomys brandtii) with genetic distance (or genetic relatedness), community diversity, and several environmental variables. Results We found that the species co-occurrence index (a larger index indicates a higher co-occurrence probability) of gut microbiota in Brandt's voles was negatively associated with the genetic distance between paired ASVs and the number of cohabitating voles in the experimental space (a larger number represents more crowding social stress), but positively with Shannon diversity index, grass diets (representing natural foods), and non-physical contact within an experimental space (representing less stress). Discussion Our study demonstrated that high diversity, close genetic relatedness, and favorable living conditions would benefit species co-occurrence of gut microbiota in hosts. Our results provide novel insights into factors and mechanisms that shape the community structure and function of gut microbiota and highlight the significance of preserving the biodiversity of gut microbiota.
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Affiliation(s)
- Chaoyuan Cheng
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Guoliang Li
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
| | - Xifu Yang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jidong Zhao
- Shaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, Xi’an, China
| | - Jing Liu
- Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, School of Life Sciences, Hainan Normal University, Haikou, Hainan, China
| | - Aihua Zheng
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Zhibin Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Chinese Academy of Sciences Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
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7
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Williams CE, Hammer TJ, Williams CL. Diversity alone does not reliably indicate the healthiness of an animal microbiome. THE ISME JOURNAL 2024; 18:wrae133. [PMID: 39018234 PMCID: PMC11334719 DOI: 10.1093/ismejo/wrae133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 04/25/2024] [Accepted: 07/16/2024] [Indexed: 07/19/2024]
Affiliation(s)
- Claire E Williams
- Department of Biology, University of Nevada, Reno, NV 89557, United States
| | - Tobin J Hammer
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, United States
| | - Candace L Williams
- Conservation Science, San Diego Zoo Wildlife Alliance, Escondido, CA 92027, United States
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8
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Rose C, Lund MB, Schramm A, Bilde T, Bechsgaard J. Does ecological drift explain variation in microbiome composition among groups in a social host species? J Evol Biol 2023; 36:1684-1694. [PMID: 37776090 DOI: 10.1111/jeb.14228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/18/2023] [Accepted: 06/26/2023] [Indexed: 10/01/2023]
Abstract
Within a given species, considerable inter-individual, spatial, and temporal variation in the composition of the host microbiome exists. In group-living animals, social interactions homogenize microbiome composition among group members, nevertheless divergence in microbiome composition among related groups arise. Such variation can result from deterministic and stochastic processes. Stochastic changes, or ecological drift, can occur among symbionts with potential for colonizing a host and within individual hosts, and drive divergence in microbiome composition among hosts or host groups. We tested whether ecological drift associated with dispersal and foundation of new groups cause divergence in microbiome composition between natal and newly formed groups in the social spider Stegodyphus dumicola. We simulated the initiation of new groups by splitting field-collected nests into groups of 1, 3, and 10 individuals respectively, and compared variation in microbiome composition among and within groups after 6 weeks using 16S rRNA gene sequencing. Theory predicts that ecological drift increases with decreasing group size. We found that microbiome composition among single founders was more dissimilar than among individuals kept in groups, supporting this prediction. Divergence in microbiome composition from the natal nest was mainly driven by a higher number of non-core symbionts. This suggests that stochastic divergence in host microbiomes can arise during the process of group formation by individual founders, which could explain the existence of among-group variation in microbiome composition in the wild. Individual founders appear to harbour higher relative abundances of non-core symbionts compared with founders in small groups, some of which are possible pathogens. These symbionts vary in occurrence with group size, indicating that group dynamics influence various core and non-core symbionts differently.
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Affiliation(s)
- Clémence Rose
- Section for Genetic Ecology and Evolution, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Marie Braad Lund
- Section for Microbiology, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Andreas Schramm
- Section for Microbiology, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Trine Bilde
- Section for Genetic Ecology and Evolution, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Jesper Bechsgaard
- Section for Genetic Ecology and Evolution, Department of Biology, Aarhus University, Aarhus, Denmark
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9
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Alfinito E, Beccaria M, Cesaria M. Cooperation in bioluminescence: understanding the role of autoinducers by a stochastic random resistor model. THE EUROPEAN PHYSICAL JOURNAL. E, SOFT MATTER 2023; 46:94. [PMID: 37812340 PMCID: PMC10562348 DOI: 10.1140/epje/s10189-023-00352-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 09/23/2023] [Indexed: 10/10/2023]
Abstract
Quorum sensing is a communication mechanism adopted by different bacterial strains for the regulation of gene transcription. It takes place through the exchange of molecules called autoinducers. Bioluminescence is an emergent threshold phenomenon shown by some bacteria strains. Its precise relationship to quorum sensing is a debated topic, particularly regarding the role of the different autoinducers used by bacteria. In this paper, assuming a direct relationship between bioluminescence and quorum sensing, we investigate the role of multiple autoinducers in the bioluminescence response of Vibrio harveyi, considered as a model bioluminescent strain, due to its quorum sensing circuitry involving an array of three different autoinducers. Experiments on mutants of this bacterium, obtained by suppression of one or more autoinducers, reveal their relative non-trivial relevance and cooperative interaction patterns. The proposed analysis is implemented on a regular lattice, whose nodes represent microbial entities equipped with charges, which represent the ability to up/down regulate the gene expression. Quorum sensing results from a Coulomb-type field, produced by the charges. In analogy with random resistor network models, the lattice is permeated by an effective current which accounts for the amount and distribution of the charges. We propose that the presence of different autoinducers correspond to a different up/down regulation of gene expression, i.e., to a different way to account for the charges. Then, by introducing a modulation of the charge dependence into the current flowing within the network, we show that it is able to describe the bioluminescence exhibited by V. harveyi mutants. Furthermore, modulation of the charge dependence allows the interactions between the different autoinducers to be taken into account, providing a prediction regarding the data obtainable under specific growth conditions.
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Affiliation(s)
- Eleonora Alfinito
- Dipartimento di Matematica e Fisica 'Ennio De Giorgi', Università del Salento, Via Arnesano, 73100, Lecce, Italy.
| | - Matteo Beccaria
- Dipartimento di Matematica e Fisica 'Ennio De Giorgi', Università del Salento, Via Arnesano, 73100, Lecce, Italy
- Istituto Nazionale di Fisica Nucleare - Sezione di Lecce, Via Arnesano, 73100, Lecce, Italy
- National Biodiversity Future Center, 90133, Palermo, Italy
| | - Maura Cesaria
- Dipartimento di Matematica e Fisica 'Ennio De Giorgi', Università del Salento, Via Arnesano, 73100, Lecce, Italy
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Risely A, Müller-Klein N, Schmid DW, Wilhelm K, Clutton-Brock TH, Manser MB, Sommer S. Climate change drives loss of bacterial gut mutualists at the expense of host survival in wild meerkats. GLOBAL CHANGE BIOLOGY 2023; 29:5816-5828. [PMID: 37485753 DOI: 10.1111/gcb.16877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 06/24/2023] [Indexed: 07/25/2023]
Abstract
Climate change and climate-driven increases in infectious disease threaten wildlife populations globally. Gut microbial responses are predicted to either buffer or exacerbate the negative impacts of these twin pressures on host populations. However, examples that document how gut microbial communities respond to long-term shifts in climate and associated disease risk, and the consequences for host survival, are rare. Over the past two decades, wild meerkats inhabiting the Kalahari have experienced rapidly rising temperatures, which is linked to the spread of tuberculosis (TB). We show that over the same period, the faecal microbiota of this population has become enriched in Bacteroidia and impoverished in lactic acid bacteria (LAB), a group of bacteria including Lactococcus and Lactobacillus that are considered gut mutualists. These shifts occurred within individuals yet were compounded over generations, and were better explained by mean maximum temperatures than mean rainfall over the previous year. Enriched Bacteroidia were additionally associated with TB exposure and disease, the dry season and poorer body condition, factors that were all directly linked to reduced future survival. Lastly, abundances of LAB taxa were independently and positively linked to future survival, while enriched taxa did not predict survival. Together, these results point towards extreme temperatures driving an expansion of a disease-associated pathobiome and loss of beneficial taxa. Our study provides the first evidence from a longitudinally sampled population that climate change is restructuring wildlife gut microbiota, and that these changes may amplify the negative impacts of climate change through the loss of gut mutualists. While the plastic response of host-associated microbiotas is key for host adaptation under normal environmental fluctuations, extreme temperature increases might lead to a breakdown of coevolved host-mutualist relationships.
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Affiliation(s)
- Alice Risely
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
- School of Science, Engineering, and the Environment, Salford University, Salford, UK
| | - Nadine Müller-Klein
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Dominik W Schmid
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Kerstin Wilhelm
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Tim H Clutton-Brock
- Large Animal Research Group, Department of Zoology, University of Cambridge, Cambridge, UK
- Mammal Research Institute, University of Pretoria, Pretoria, South Africa
- Kalahari Research Trust, Kuruman River Reserve, Van Zylsrus, Northern Cape, South Africa
| | - Marta B Manser
- Mammal Research Institute, University of Pretoria, Pretoria, South Africa
- Kalahari Research Trust, Kuruman River Reserve, Van Zylsrus, Northern Cape, South Africa
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Simone Sommer
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
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Amir A, Ozel E, Haberman Y, Shental N. Achieving pan-microbiome biological insights via the dbBact knowledge base. Nucleic Acids Res 2023; 51:6593-6608. [PMID: 37326027 PMCID: PMC10359611 DOI: 10.1093/nar/gkad527] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/26/2023] [Accepted: 06/08/2023] [Indexed: 06/17/2023] Open
Abstract
16S rRNA amplicon sequencing provides a relatively inexpensive culture-independent method for studying microbial communities. Although thousands of such studies have examined diverse habitats, it is difficult for researchers to use this vast trove of experiments when interpreting their own findings in a broader context. To bridge this gap, we introduce dbBact - a novel pan-microbiome resource. dbBact combines manually curated information from studies across diverse habitats, creating a collaborative central repository of 16S rRNA amplicon sequence variants (ASVs), which are assigned multiple ontology-based terms. To date dbBact contains information from more than 1000 studies, which include 1500000 associations between 360000 ASVs and 6500 ontology terms. Importantly, dbBact offers a set of computational tools allowing users to easily query their own datasets against the database. To demonstrate how dbBact augments standard microbiome analysis we selected 16 published papers, and reanalyzed their data via dbBact. We uncovered novel inter-host similarities, potential intra-host sources of bacteria, commonalities across different diseases and lower host-specificity in disease-associated bacteria. We also demonstrate the ability to detect environmental sources, reagent-borne contaminants, and identify potential cross-sample contaminations. These analyses demonstrate how combining information across multiple studies and over diverse habitats leads to better understanding of underlying biological processes.
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Affiliation(s)
- Amnon Amir
- Microbiome center, Sheba Medical Center, Israel
| | - Eitan Ozel
- Dept. of Computer Science, The Open University of Israel, Israel
| | - Yael Haberman
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Sheba Medical Center, Israel
| | - Noam Shental
- Dept. of Computer Science, The Open University of Israel, Israel
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12
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Chakravarty P, Cozzi G, Scantlebury DM, Ozgul A, Aminian K. Combining accelerometry with allometry for estimating daily energy expenditure in joules when in-lab calibration is unavailable. MOVEMENT ECOLOGY 2023; 11:29. [PMID: 37254220 PMCID: PMC10228015 DOI: 10.1186/s40462-023-00395-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/18/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND All behaviour requires energy, and measuring energy expenditure in standard units (joules) is key to linking behaviour to ecological processes. Animal-borne accelerometers are commonly used to infer proxies of energy expenditure, termed 'dynamic body acceleration' (DBA). However, converting acceleration proxies (m/s2) to standard units (watts) involves costly in-lab respirometry measurements, and there is a lack of viable substitutes for empirical calibration relationships when these are unavailable. METHODS We used past allometric work quantifying energy expenditure during resting and locomotion as a function of body mass to calibrate DBA. We used the resulting 'power calibration equation' to estimate daily energy expenditure (DEE) using two models: (1) locomotion data-based linear calibration applied to the waking period, and Kleiber's law applied to the sleeping period (ACTIWAKE), and (2) locomotion and resting data-based linear calibration applied to the 24-h period (ACTIREST24). Since both models require locomotion speed information, we developed an algorithm to estimate speed from accelerometer, gyroscope, and behavioural annotation data. We applied these methods to estimate DEE in free-ranging meerkats (Suricata suricatta), and compared model estimates with published DEE measurements made using doubly labelled water (DLW) on the same meerkat population. RESULTS ACTIWAKE's DEE estimates did not differ significantly from DLW (t(19) = - 1.25; P = 0.22), while ACTIREST24's estimates did (t(19) = - 2.38; P = 0.028). Both models underestimated DEE compared to DLW: ACTIWAKE by 14% and ACTIREST by 26%. The inter-individual spread in model estimates of DEE (s.d. 1-2% of mean) was lower than that in DLW (s.d. 33% of mean). CONCLUSIONS We found that linear locomotion-based calibration applied to the waking period, and a 'flat' resting metabolic rate applied to the sleeping period can provide realistic joule estimates of DEE in terrestrial mammals. The underestimation and lower spread in model estimates compared to DLW likely arise because the accelerometer only captures movement-related energy expenditure, whereas DLW is an integrated measure. Our study offers new tools to incorporate body mass (through allometry), and changes in behavioural time budgets and intra-behaviour changes in intensity (through DBA) in acceleration-based field assessments of daily energy expenditure.
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Affiliation(s)
- Pritish Chakravarty
- Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
- Department of Evolutionary Biology and Environmental Studies, Universität Zürich, Zurich, Switzerland.
- Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Constance, Germany.
| | - Gabriele Cozzi
- Department of Evolutionary Biology and Environmental Studies, Universität Zürich, Zurich, Switzerland
- Kalahari Research Centre, Kuruman River Reserve, Van Zylsrus, 8467, South Africa
| | | | - Arpat Ozgul
- Department of Evolutionary Biology and Environmental Studies, Universität Zürich, Zurich, Switzerland
- Kalahari Research Centre, Kuruman River Reserve, Van Zylsrus, 8467, South Africa
| | - Kamiar Aminian
- Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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13
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Roche KE, Bjork JR, Dasari MR, Grieneisen L, Jansen D, Gould TJ, Gesquiere LR, Barreiro LB, Alberts SC, Blekhman R, Gilbert JA, Tung J, Mukherjee S, Archie EA. Universal gut microbial relationships in the gut microbiome of wild baboons. eLife 2023; 12:e83152. [PMID: 37158607 PMCID: PMC10292843 DOI: 10.7554/elife.83152] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 05/08/2023] [Indexed: 05/10/2023] Open
Abstract
Ecological relationships between bacteria mediate the services that gut microbiomes provide to their hosts. Knowing the overall direction and strength of these relationships is essential to learn how ecology scales up to affect microbiome assembly, dynamics, and host health. However, whether bacterial relationships are generalizable across hosts or personalized to individual hosts is debated. Here, we apply a robust, multinomial logistic-normal modeling framework to extensive time series data (5534 samples from 56 baboon hosts over 13 years) to infer thousands of correlations in bacterial abundance in individual baboons and test the degree to which bacterial abundance correlations are 'universal'. We also compare these patterns to two human data sets. We find that, most bacterial correlations are weak, negative, and universal across hosts, such that shared correlation patterns dominate over host-specific correlations by almost twofold. Further, taxon pairs that had inconsistent correlation signs (either positive or negative) in different hosts always had weak correlations within hosts. From the host perspective, host pairs with the most similar bacterial correlation patterns also had similar microbiome taxonomic compositions and tended to be genetic relatives. Compared to humans, universality in baboons was similar to that in human infants, and stronger than one data set from human adults. Bacterial families that showed universal correlations in human infants were often universal in baboons. Together, our work contributes new tools for analyzing the universality of bacterial associations across hosts, with implications for microbiome personalization, community assembly, and stability, and for designing microbiome interventions to improve host health.
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Affiliation(s)
- Kimberly E Roche
- Program in Computational Biology and Bioinformatics, Duke UniversityDurhamUnited States
| | - Johannes R Bjork
- University of Groningen and University Medical Center Groningen, Department of Gastroenterology and HepatologyGroningenNetherlands
- University of Groningen and University Medical Center Groningen, Department of GeneticsGroningenNetherlands
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | - Mauna R Dasari
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | - Laura Grieneisen
- Department of Biology, University of British Columbia-Okanagan CampusKelownaCanada
| | - David Jansen
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | - Trevor J Gould
- Department of Ecology, Evolution, and Behavior, University of MinnesotaMinneapolisUnited States
| | | | - Luis B Barreiro
- Committee on Genetics, Genomics, and Systems Biology, University of ChicagoChicagoUnited States
- Section of Genetic Medicine, Department of Medicine, University of ChicagoChicagoUnited States
- Committee on Immunology, University of ChicagoChicagoUnited States
| | - Susan C Alberts
- Department of Biology, Duke UniversityDurhamUnited States
- Department of Evolutionary Anthropology, Duke UniversityDurhamUnited States
- Duke University Population Research Institute, Duke UniversityDurhamUnited States
| | - Ran Blekhman
- Section of Genetic Medicine, Department of Medicine, University of ChicagoChicagoUnited States
| | - Jack A Gilbert
- Department of Pediatrics and the Scripps Institution of Oceanography, University of California, San DiegoSan DiegoUnited States
| | - Jenny Tung
- Department of Biology, Duke UniversityDurhamUnited States
- Department of Evolutionary Anthropology, Duke UniversityDurhamUnited States
- Duke University Population Research Institute, Duke UniversityDurhamUnited States
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary AnthropologyLeipzigGermany
| | - Sayan Mukherjee
- Program in Computational Biology and Bioinformatics, Duke UniversityDurhamUnited States
- Departments of Statistical Science, Mathematics, Computer Science, and Bioinformatics & Biostatistics, Duke UniversityDurhamUnited States
- Center for Scalable Data Analytics and Artificial Intelligence, University of LeipzigLeipzigGermany
- Max Plank Institute for Mathematics in the Natural SciencesLeipzigGermany
| | - Elizabeth A Archie
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
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14
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Mock community as an in situ positive control for amplicon sequencing of microbiotas from the same ecosystem. Sci Rep 2023; 13:4056. [PMID: 36906688 PMCID: PMC10008532 DOI: 10.1038/s41598-023-30916-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 03/03/2023] [Indexed: 03/13/2023] Open
Abstract
Metataxonomy has become the standard for characterizing the diversity and composition of microbial communities associated with multicellular organisms and their environment. Currently available protocols for metataxonomy assume a uniform DNA extraction, amplification and sequencing efficiency for all sample types and taxa. It has been suggested that the addition of a mock community (MC) to biological samples before the DNA extraction step could aid identification of technical biases during processing and support direct comparisons of microbiota composition, but the impact of MC on diversity estimates of samples is unknown. Here, large and small aliquots of pulverized bovine fecal samples were extracted with no, low or high doses of MC, characterized using standard Illumina technology for metataxonomics, and analysed with custom bioinformatic pipelines. We demonstrated that sample diversity estimates were distorted only if MC dose was high compared to sample mass (i.e. when MC > 10% of sample reads). We also showed that MC was an informative in situ positive control, permitting an estimation of the sample 16S copy number, and detecting sample outliers. We tested this approach on a range of sample types from a terrestrial ecosystem, including rhizosphere soil, whole invertebrates, and wild vertebrate fecal samples, and discuss possible clinical applications.
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15
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Ratiner K, Fachler-Sharp T, Elinav E. Small Intestinal Microbiota Oscillations, Host Effects and Regulation-A Zoom into Three Key Effector Molecules. BIOLOGY 2023; 12:142. [PMID: 36671834 PMCID: PMC9855434 DOI: 10.3390/biology12010142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/13/2023] [Accepted: 01/14/2023] [Indexed: 01/18/2023]
Abstract
The gut microbiota features a unique diurnal rhythmicity which contributes to modulation of host physiology and homeostasis. The composition and activity of the microbiota and its secreted molecules influence the intestinal milieu and neighboring organs, such as the liver. Multiple immune-related molecules have been linked to the diurnal microbiota-host interaction, including Reg3γ, IgA, and MHCII, which are secreted or expressed on the gut surface and directly interact with intestinal bacteria. These molecules are also strongly influenced by dietary patterns, such as high-fat diet and time-restricted feeding, which are already known to modulate microbial rhythms and peripheral clocks. Herein, we use Reg3γ, IgA, and MHCII as test cases to highlight the divergent effects mediated by the diurnal activity of the gut microbiota and their downstream host effects. We further highlight current challenges and conflicts, remaining questions, and perspectives toward a holistic understanding of the microbiome's impacts on circadian human behavior.
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Affiliation(s)
- Karina Ratiner
- Systems Immunology Department, Weisman Institute of Science, Rehovot 7610001, Israel
| | - Tahel Fachler-Sharp
- Systems Immunology Department, Weisman Institute of Science, Rehovot 7610001, Israel
- Department of Dermatology, Hadassah-Hebrew University Medical Center, Jerusalem 9987500, Israel
| | - Eran Elinav
- Systems Immunology Department, Weisman Institute of Science, Rehovot 7610001, Israel
- Microbiota & Cancer Division, Deutsches Krebsforschungszentrum (DKFZ), 69120 Heidelberg, Germany
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16
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Mallott EK. Individualized composition or community dynamics? A new statistical approach to assess the individuality of host-associated microbiomes. Proc Biol Sci 2022; 289:20221794. [PMID: 36350214 PMCID: PMC9653253 DOI: 10.1098/rspb.2022.1794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Affiliation(s)
- Elizabeth K. Mallott
- Department of Biology, Washington University in St Louis, St Louis, MO 63130, USA
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17
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Risely A, Schmid DW, Müller-Klein N, Wilhelm K, Clutton-Brock TH, Manser MB, Sommer S. Gut microbiota individuality is contingent on temporal scale and age in wild meerkats. Proc Biol Sci 2022; 289:20220609. [PMID: 35975437 PMCID: PMC9382201 DOI: 10.1098/rspb.2022.0609] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 08/01/2022] [Indexed: 12/14/2022] Open
Abstract
Inter-individual differences in gut microbiota composition are hypothesized to generate variation in host fitness-a premise for the evolution of host-gut microbe symbioses. However, recent evidence suggests that gut microbial communities are highly dynamic, challenging the notion that individuals harbour unique gut microbial phenotypes. Leveraging a long-term dataset of wild meerkats, we reconcile these concepts by demonstrating that the relative importance of identity for shaping gut microbiota phenotypes depends on the temporal scale. Across meerkat lifespan, year-to-year variation overshadowed the effects of identity and social group in predicting gut microbiota composition, with identity explaining on average less than 2% of variation. However, identity was the strongest predictor of microbial phenotypes over short sampling intervals (less than two months), predicting on average 20% of variation. The effect of identity was also dependent on meerkat age, with the gut microbiota becoming more individualized and stable as meerkats aged. Nevertheless, while the predictive power of identity was negligible after two months, gut microbiota composition remained weakly individualized compared to that of other meerkats for up to 1 year. These findings illuminate the degree to which individualized gut microbial signatures can be expected, with important implications for the time frames over which gut microbial phenotypes may mediate host physiology, behaviour and fitness in natural populations.
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Affiliation(s)
- Alice Risely
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Dominik W. Schmid
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Nadine Müller-Klein
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Kerstin Wilhelm
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
| | - Tim H. Clutton-Brock
- Large Animal Research Group, Department of Zoology, University of Cambridge, Cambridge, UK
- Mammal Research Institute, University of Pretoria, Pretoria, South Africa
- Kalahari Research Trust, Kuruman River Reserve, Northern Cape, South Africa
| | - Marta B. Manser
- Mammal Research Institute, University of Pretoria, Pretoria, South Africa
- Kalahari Research Trust, Kuruman River Reserve, Northern Cape, South Africa
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Simone Sommer
- Institute for Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany
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18
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Brumfield KD, Leddy M, Usmani M, Cotruvo JA, Tien CT, Dorsey S, Graubics K, Fanelli B, Zhou I, Registe N, Dadlani M, Wimalarante M, Jinasena D, Abayagunawardena R, Withanachchi C, Huq A, Jutla A, Colwell RR. Microbiome Analysis for Wastewater Surveillance during COVID-19. mBio 2022; 13:e0059122. [PMID: 35726918 PMCID: PMC9426581 DOI: 10.1128/mbio.00591-22] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/16/2022] [Indexed: 12/18/2022] Open
Abstract
Wastewater surveillance (WS), when coupled with advanced molecular techniques, offers near real-time monitoring of community-wide transmission of SARS-CoV-2 and allows assessing and mitigating COVID-19 outbreaks, by evaluating the total microbial assemblage in a community. Composite wastewater samples (24 h) were collected weekly from a manhole between December 2020 and November 2021 in Maryland, USA. RT-qPCR results showed concentrations of SARS-CoV-2 RNA recovered from wastewater samples reflected incidence of COVID-19 cases. When a drastic increase in COVID-19 was detected in February 2021, samples were selected for microbiome analysis (DNA metagenomics, RNA metatranscriptomics, and targeted SARS-CoV-2 sequencing). Targeted SARS-CoV-2 sequencing allowed for detection of important genetic mutations, such as spike: K417N, D614G, P681H, T716I, S982A, and D1118H, commonly associated with increased cell entry and reinfection. Microbiome analysis (DNA and RNA) provided important insight with respect to human health-related factors, including detection of pathogens and their virulence/antibiotic resistance genes. Specific microbial species comprising the wastewater microbiome correlated with incidence of SARS-CoV-2 RNA, suggesting potential association with SARS-CoV-2 infection. Climatic conditions, namely, temperature, were related to incidence of COVID-19 and detection of SARS-CoV-2 in wastewater, having been monitored as part of an environmental risk score assessment carried out in this study. In summary, the wastewater microbiome provides useful public health information, and hence, a valuable tool to proactively detect and characterize pathogenic agents circulating in a community. In effect, metagenomics of wastewater can serve as an early warning system for communicable diseases, by providing a larger source of information for health departments and public officials. IMPORTANCE Traditionally, testing for COVID-19 is done by detecting SARS-CoV-2 in samples collected from nasal swabs and/or saliva. However, SARS-CoV-2 can also be detected in feces of infected individuals. Therefore, wastewater samples can be used to test all individuals of a community contributing to the sewage collection system, i.e., the infrastructure, such as gravity pipes, manholes, tanks, lift stations, control structures, and force mains, that collects used water from residential and commercial sources and conveys the flow to a wastewater treatment plant. Here, we profile community wastewater collected from a manhole, detect presence of SARS-CoV-2, identify genetic mutations of SARS-CoV-2, and perform COVID-19 risk score assessment of the study area. Using metagenomics analysis, we also detect other microorganisms (bacteria, fungi, protists, and viruses) present in the samples. Results show that by analyzing all microorganisms present in wastewater, pathogens circulating in a community can provide an early warning for contagious diseases.
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Affiliation(s)
- Kyle D. Brumfield
- Maryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA
- University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA
| | - Menu Leddy
- Essential Environmental and Engineering Systems, Huntington Beach, California, USA
| | - Moiz Usmani
- Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA
| | | | | | - Suzanne Dorsey
- Maryland Department of Environment, Baltimore, Maryland, USA
| | | | | | - Isaac Zhou
- CosmosID Inc., Germantown, Maryland, USA
| | | | | | | | | | | | | | - Anwar Huq
- Maryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA
| | - Antarpreet Jutla
- Geohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA
| | - Rita R. Colwell
- Maryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA
- University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA
- CosmosID Inc., Germantown, Maryland, USA
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19
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Björk JR, Dasari MR, Roche K, Grieneisen L, Gould TJ, Grenier JC, Yotova V, Gottel N, Jansen D, Gesquiere LR, Gordon JB, Learn NH, Wango TL, Mututua RS, Kinyua Warutere J, Siodi L, Mukherjee S, Barreiro LB, Alberts SC, Gilbert JA, Tung J, Blekhman R, Archie EA. Synchrony and idiosyncrasy in the gut microbiome of wild baboons. Nat Ecol Evol 2022; 6:955-964. [PMID: 35654895 PMCID: PMC9271586 DOI: 10.1038/s41559-022-01773-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 04/20/2022] [Indexed: 01/04/2023]
Abstract
Human gut microbial dynamics are highly individualized, making it challenging to link microbiota to health and to design universal microbiome therapies. This individuality is typically attributed to variation in host genetics, diets, environments and medications but it could also emerge from fundamental ecological forces that shape microbiota more generally. Here, we leverage extensive gut microbial time series from wild baboons-hosts who experience little interindividual dietary and environmental heterogeneity-to test whether gut microbial dynamics are synchronized across hosts or largely idiosyncratic. Despite their shared lifestyles, baboon microbiota were only weakly synchronized. The strongest synchrony occurred among baboons living in the same social group, probably because group members range over the same habitat and simultaneously encounter the same sources of food and water. However, this synchrony was modest compared to each host's personalized dynamics. In support, host-specific factors, especially host identity, explained, on average, more than three times the deviance in longitudinal dynamics compared to factors shared with social group members and ten times the deviance of factors shared across the host population. These results contribute to mounting evidence that highly idiosyncratic gut microbiomes are not an artefact of modern human environments and that synchronizing forces in the gut microbiome (for example, shared environments, diets and microbial dispersal) are not strong enough to overwhelm key drivers of microbiome personalization, such as host genetics, priority effects, horizontal gene transfer and functional redundancy.
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Affiliation(s)
- Johannes R Björk
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
| | - Mauna R Dasari
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Kim Roche
- Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, USA
| | - Laura Grieneisen
- Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA
| | - Trevor J Gould
- Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA
| | - Jean-Christophe Grenier
- Department of Genetics, CHU Sainte Justine Research Center, Montréal, Quebec, Canada
- Research Center, Montreal Heart Institute, Montréal, Quebec, Canada
| | - Vania Yotova
- Department of Genetics, CHU Sainte Justine Research Center, Montréal, Quebec, Canada
| | - Neil Gottel
- Department of Pediatrics and the Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA, USA
| | - David Jansen
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | | | | | - Niki H Learn
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Tim L Wango
- Amboseli Baboon Research Project, Amboseli National Park, Amboseli, Kenya
- The Department of Veterinary Anatomy and Animal Physiology, University of Nairobi, Nairobi, Kenya
| | - Raphael S Mututua
- Amboseli Baboon Research Project, Amboseli National Park, Amboseli, Kenya
| | - J Kinyua Warutere
- Amboseli Baboon Research Project, Amboseli National Park, Amboseli, Kenya
| | - Long'ida Siodi
- Amboseli Baboon Research Project, Amboseli National Park, Amboseli, Kenya
| | - Sayan Mukherjee
- Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, USA
| | - Luis B Barreiro
- Department of Medicine, Section of Genetic Medicine, University of Chicago, Chicago, IL, USA
| | - Susan C Alberts
- Department of Biology, Duke University, Durham, NC, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Duke University Population Research Institute, Duke University, Durham, NC, USA
| | - Jack A Gilbert
- Department of Pediatrics and the Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA, USA
| | - Jenny Tung
- Department of Biology, Duke University, Durham, NC, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Duke University Population Research Institute, Duke University, Durham, NC, USA
- Canadian Institute for Advanced Research, Toronto, Ontario, Canada
| | - Ran Blekhman
- Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Minneapolis, MN, USA
| | - Elizabeth A Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
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20
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Sadoughi B, Schneider D, Daniel R, Schülke O, Ostner J. Aging gut microbiota of wild macaques are equally diverse, less stable, but progressively personalized. MICROBIOME 2022; 10:95. [PMID: 35718778 PMCID: PMC9206754 DOI: 10.1186/s40168-022-01283-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/21/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Pronounced heterogeneity of age trajectories has been identified as a hallmark of the gut microbiota in humans and has been explained by marked changes in lifestyle and health condition. Comparatively, age-related personalization of microbiota is understudied in natural systems limiting our comprehension of patterns observed in humans from ecological and evolutionary perspectives. RESULTS Here, we tested age-related changes in the diversity, stability, and composition of the gut bacterial community using 16S rRNA gene sequencing with dense repeated sampling over three seasons in a cross-sectional age sample of adult female Assamese macaques (Macaca assamensis) living in their natural forest habitat. Gut bacterial composition exhibited a personal signature which became less stable as individuals aged. This lack of stability was not explained by differences in microbiota diversity but rather linked to an increase in the relative abundance of rare bacterial taxa. The lack of age-related changes in core taxa or convergence with age to a common state of the community hampered predicting gut bacterial composition of aged individuals. On the contrary, we found increasing personalization of the gut bacterial composition with age, indicating that composition in older individuals was increasingly divergent from the rest of the population. Reduced direct transmission of bacteria resulting from decreasing social activity may contribute to, but not be sufficient to explain, increasing personalization with age. CONCLUSIONS Together, our results challenge the assumption of a constant microbiota through adult life in a wild primate. Within the limits of this study, the fact that increasing personalization of the aging microbiota is not restricted to humans suggests the underlying process to be evolved instead of provoked only by modern lifestyle of and health care for the elderly. Video abstract.
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Affiliation(s)
- Baptiste Sadoughi
- Department of Behavioral Ecology, Johann-Friedrich-Blumenbach Institute for Zoology and Anthropology, Georg-August-University Göttingen, Kellnerweg 6, D-37077, Göttingen, Germany.
- Research Group Primate Social Evolution, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany.
- Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August-University Göttingen, Göttingen, Germany.
- Leibniz ScienceCampus Primate Cognition, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany.
| | - Dominik Schneider
- Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August-University Göttingen, Göttingen, Germany
| | - Rolf Daniel
- Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August-University Göttingen, Göttingen, Germany
| | - Oliver Schülke
- Department of Behavioral Ecology, Johann-Friedrich-Blumenbach Institute for Zoology and Anthropology, Georg-August-University Göttingen, Kellnerweg 6, D-37077, Göttingen, Germany
- Research Group Primate Social Evolution, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Julia Ostner
- Department of Behavioral Ecology, Johann-Friedrich-Blumenbach Institute for Zoology and Anthropology, Georg-August-University Göttingen, Kellnerweg 6, D-37077, Göttingen, Germany
- Research Group Primate Social Evolution, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
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21
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Litichevskiy L, Thaiss CA. The Oscillating Gut Microbiome and Its Effects on Host Circadian Biology. Annu Rev Nutr 2022; 42:145-164. [PMID: 35576592 DOI: 10.1146/annurev-nutr-062320-111321] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The microbial community colonizing the gastrointestinal tract, collectively termed the gut microbiota, is an important element of the host organism due to its impact on multiple aspects of health. The digestion of food, secretion of immunostimulatory molecules, performance of chemical reactions in the intestine, and production of metabolites by the microbiota contribute to host homeostasis and disease. Recent discoveries indicate that these major functions are not constantly performed over the course of a day, but rather undergo diurnal fluctuations due to compositional and biogeographical oscillations in the microbiota. Here, we summarize the characteristics and origins of diurnal microbiome rhythms as well as their functional consequences for the circadian biology of the host. We describe the major known pathways of circadian host-microbiome communication and discuss possible implications of altered diurnal microbiome rhythms for human disease. Expected final online publication date for the Annual Review of Nutrition, Volume 42 is August 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Lev Litichevskiy
- Microbiology Department, Institute for Immunology, and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; ,
| | - Christoph A Thaiss
- Microbiology Department, Institute for Immunology, and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; ,
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22
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Houtz JL, Taff CC, Vitousek MN. Gut Microbiome as a Mediator of Stress Resilience: A Reactive Scope Model Framework. Integr Comp Biol 2022; 62:41-57. [PMID: 35544275 DOI: 10.1093/icb/icac030] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Stress resilience is defined as the ability to rebound to a homeostatic state after exposure to a perturbation. Organisms modulate various physiological mediators to respond to unpredictable changes in their environment. The gut microbiome is a key example of a physiological mediator that coordinates a myriad of host functions including counteracting stressors. Here, we highlight the gut microbiome as a mediator of host stress resilience in the framework of the reactive scope model. The reactive scope model integrates physiological mediators with unpredictable environmental changes to predict how animals respond to stressors. We provide examples of how the gut microbiome responds to stressors within the four ranges of the reactive scope model (i.e., predictive homeostasis, reactive homeostasis, homeostatic overload, and homeostatic failure). We identify measurable metrics of the gut microbiome that could be used to infer the degree to which the host is experiencing chronic stress, including microbial diversity, flexibility, and gene richness. The goal of this perspective piece is to highlight the underutilized potential of measuring the gut microbiome as a mediator of stress resilience in wild animal hosts.
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Affiliation(s)
- Jennifer L Houtz
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
| | - Conor C Taff
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
| | - Maren N Vitousek
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
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