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Wu J, Zhang J, Huang G, Zhong Y, Yang Y, Deng P. Evidence from mendelian randomization identifies several causal relationships between primary membranous nephropathy and gut microbiota. Ren Fail 2024; 46:2349136. [PMID: 38770992 PMCID: PMC11110878 DOI: 10.1080/0886022x.2024.2349136] [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: 12/08/2023] [Accepted: 04/10/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Research has showcased a correlation between disruptions in gut microbiota and primary membranous nephropathy (pMN), giving rise to the concept of the 'gut-kidney axis'. However, the precise relationship between gut microbiota and pMN remains elusive. Hence, this study endeavors to investigate whether a causal relationship exists between gut microbiota and pMN utilizing Mendelian randomization (MR) analysis. METHODS The primary method employed for MR analysis is the inverse variance weighting method, supplemented by MR-Egger and the weighted median method, to infer causality. This approach was validated within the pMN cohort across two distinct populations. RESULTS At the species level, the abundance of Bifidobacterium bifidum and Alistipes indistinctus was negatively correlated with the risk of pMN. Conversely, pMN was positively associated with Bacilli abundance at the class level, Lachnospiraceae abundance at the family level, and Dialister abundance at the genus level. Specifically, at the species level, pMN was positively correlated with the abundance of Ruminococcus lactaris, Dialister invisus, and Coprococcus_sp_ART55_1. CONCLUSION These findings lay the groundwork for future research exploring the interplay between pMN and the gut microbiota, with substantial implications for the prevention and treatment of pMN and its associated complications.
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Affiliation(s)
- Jianwei Wu
- Department of Medical Technology, Gannan Healthcare Vocational College, Ganzhou, China
| | - Jing Zhang
- Department of Medical Technology, Gannan Healthcare Vocational College, Ganzhou, China
| | - Gang Huang
- Department of Laboratory, GanZhou Cancer Hospital, Ganzhou, China
| | - Yinglian Zhong
- Department of Blood Transfusion, Ganzhou Fifth People’s Hospital, Ganzhou, China
| | - Yi Yang
- Department of Rheumatology and Immunology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Peng Deng
- Department of Endocrinology, Department of Nephrology, Ganzhou Fifth People’s Hospital, Ganzhou, China
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2
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Whitney TL, Mallott EK, Diakiw LO, Christie DM, Ting N, Amato KR, Tecot SR, Baden AL. Ecological and genetic variables co-vary with social group identity to shape the gut microbiome of a pair-living primate. Am J Primatol 2024; 86:e23657. [PMID: 38967215 DOI: 10.1002/ajp.23657] [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: 07/19/2023] [Revised: 05/17/2024] [Accepted: 06/08/2024] [Indexed: 07/06/2024]
Abstract
Primates exhibit diverse social systems that are intricately linked to their biology, behavior, and evolution, all of which influence the acquisition and maintenance of their gut microbiomes (GMs). However, most studies of wild primate populations focus on taxa with relatively large group sizes, and few consider pair-living species. To address this gap, we investigate how a primate's social system interacts with key environmental, social, and genetic variables to shape the GM in pair-living, red-bellied lemurs (Eulemur rubriventer). Previous research on this species suggests that social interactions within groups influence interindividual microbiome similarity; however, the impacts of other nonsocial variables and their relative contributions to gut microbial variation remain unclear. We sequenced the 16S ribosomal RNA hypervariable V4-V5 region to characterize the GM from 26 genotyped individuals across 11 social groups residing in Ranomafana National Park, Madagascar. We estimated the degree to which sex, social group identity, genetic relatedness, dietary diversity, and home range proximity were associated with variation in the gut microbial communities residing in red-bellied lemurs. All variables except sex played a significant role in predicting GM composition. Our model had high levels of variance inflation, inhibiting our ability to determine which variables were most predictive of gut microbial composition. This inflation is likely due to red-bellied lemurs' pair-living, pair-bonded social system that leads to covariation among environmental, social, and genetic variables. Our findings highlight some of the factors that predict GM composition in a tightly bonded, pair-living species and identify variables that require further study. We propose that future primate microbiome studies should simultaneously consider environmental, social, and genetic factors to improve our understanding of the relationships among sociality, the microbiome, and primate ecology and evolution.
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Affiliation(s)
- Tabor L Whitney
- Department of Anthropology, Northwestern University, Evanston, Illinois, USA
| | - Elizabeth K Mallott
- Department of Anthropology, Northwestern University, Evanston, Illinois, USA
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Laura O Diakiw
- Department of Ecology, University of Wyoming, Laramie, Wyoming, USA
| | - Diana M Christie
- Department of Anthropology, University of Oregon, Eugene, Oregon, USA
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
| | - Nelson Ting
- Department of Anthropology, University of Oregon, Eugene, Oregon, USA
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
| | - Katherine R Amato
- Department of Anthropology, Northwestern University, Evanston, Illinois, USA
| | - Stacey R Tecot
- School of Anthropology, University of Arizona, Tucson, Arizona, USA
| | - Andrea L Baden
- Department of Anthropology, Hunter College of the City University of New York, New York City, New York, USA
- Department of Anthropology, The Graduate Center of the City University of New York, New York City, New York, USA
- The New York Consortium in Evolutionary Primatology, New York City, New York, USA
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3
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Chen L, Bao Y, Wang D, Tian Y, Zeng T, Gu T, Xu W, Lu L. Integrated omics analysis reveals the differentiation of intestinal microbiota and metabolites between Pekin ducks and Shaoxing ducks. Poult Sci 2024; 103:103976. [PMID: 39024692 PMCID: PMC11315098 DOI: 10.1016/j.psj.2024.103976] [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: 04/03/2024] [Revised: 05/21/2024] [Accepted: 06/10/2024] [Indexed: 07/20/2024] Open
Abstract
Pekin ducks and Shaoxing ducks are 2 Chinese local duck breeds, both domesticated from mallard, but after domestication and long-term artificial selection, the body weight of Pekin ducks is significantly higher than that of Shaoxing ducks. It is no debate that genetic factors are the main factors responsible for this difference, but whether intestinal microbiota contribute to this difference is yet unknown. Thus, we performed comparative intestinal metagenomics and metabolomics analysis between Pekin ducks and Shaoxing ducks. We found obvious differentiation of intestinal metagenome and metabolome between the 2 breeds. Four cecal microbial genera, including Fusobacterium, Methanobrevibacter, Butyricicoccus, and Anaerotignum showed higher abundance in Pekin ducks. Among them, Methanobrevibacter and Butyricicoccus may positively correlate with fat deposition and body weight. A total of 310 metabolites showed difference between the 2 breeds. Functions of these differential metabolites were mainly enriched in amino acid metabolism, including energy metabolism-related histidine metabolism. Integrated omics analysis showed that microbial changes were closely related to altered metabolites. Especially, Butyricicoccus showing higher abundance in Pekin ducks was significantly negatively correlated with D-glucosamine-6-phosphate, which has been reported to prevent body weight gains. These findings may contribute to further understand the difference in body weight between Pekin ducks and Shaoxing ducks.
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Affiliation(s)
- Li Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang-Ukraine Joint Laboratory for Poultry Germplasm Resources Conservation, Exploitation and Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; Xianghu Laboratory, Hangzhou, 311231, China
| | - Ying Bao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang-Ukraine Joint Laboratory for Poultry Germplasm Resources Conservation, Exploitation and Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Dandan Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang-Ukraine Joint Laboratory for Poultry Germplasm Resources Conservation, Exploitation and Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Yong Tian
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang-Ukraine Joint Laboratory for Poultry Germplasm Resources Conservation, Exploitation and Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Tao Zeng
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang-Ukraine Joint Laboratory for Poultry Germplasm Resources Conservation, Exploitation and Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Tiantian Gu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang-Ukraine Joint Laboratory for Poultry Germplasm Resources Conservation, Exploitation and Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Wenwu Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang-Ukraine Joint Laboratory for Poultry Germplasm Resources Conservation, Exploitation and Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Lizhi Lu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang-Ukraine Joint Laboratory for Poultry Germplasm Resources Conservation, Exploitation and Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
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4
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Dasari MR, Roche KE, Jansen D, Anderson J, Alberts SC, Tung J, Gilbert JA, Blekhman R, Mukherjee S, Archie EA. Social and environmental predictors of gut microbiome age in wild baboons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.02.605707. [PMID: 39131274 PMCID: PMC11312535 DOI: 10.1101/2024.08.02.605707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Understanding why some individuals age faster than others is essential to evolutionary biology and geroscience, but measuring variation in biological age is difficult. One solution may lie in measuring gut microbiome composition because microbiota change with many age-related factors (e.g., immunity and behavior). Here we create a microbiome-based age predictor using 13,563 gut microbial profiles from 479 wild baboons collected over 14 years. The resulting "microbiome clock" predicts host chronological age. Deviations from the clock's predictions are linked to demographic and socio-environmental factors that predict baboon health and survival: animals who appear old-for-age tend to be male, sampled in the dry season (for females), and high social status (both sexes). However, an individual's "microbiome age" does not predict the attainment of developmental milestones or lifespan. Hence, the microbiome clock accurately reflects age and some social and environmental conditions, but not the pace of development or mortality risk.
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Affiliation(s)
- Mauna R. Dasari
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA
- California Academy of Sciences, San Francisco, CA, USA
| | - Kimberly E. Roche
- Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, USA
| | - David Jansen
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Jordan Anderson
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Susan C. Alberts
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Department of Biology, Duke University, Durham, NC, USA
- Duke University Population Research Institute, Duke University, Durham, NC, USA
| | - Jenny Tung
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Department of Biology, Duke University, Durham, NC, USA
- Duke University Population Research Institute, Duke University, Durham, NC, USA
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
- Canadian Institute for Advanced Research, Toronto, Ontario, Canada
- Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
| | - Jack A. Gilbert
- Department of Pediatrics and the Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA, USA
| | - Ran Blekhman
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sayan Mukherjee
- Departments of Statistical Science, Mathematics, Computer Science, and Bioinformatics & Biostatistics, Duke University, Durham, NC, USA
- Center for Scalable Data Analytics and Artificial Intelligence, University of Leipzig, Leipzig Germany
- Max Planck Institute for Mathematics in the Natural Sciences, Leipzig, Germany
| | - Elizabeth A. Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
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5
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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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6
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Stothart MR, McLoughlin PD, Medill SA, Greuel RJ, Wilson AJ, Poissant J. Methanogenic patterns in the gut microbiome are associated with survival in a population of feral horses. Nat Commun 2024; 15:6012. [PMID: 39039075 PMCID: PMC11263349 DOI: 10.1038/s41467-024-49963-x] [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: 11/03/2023] [Accepted: 06/21/2024] [Indexed: 07/24/2024] Open
Abstract
Gut microbiomes are widely hypothesised to influence host fitness and have been experimentally shown to affect host health and phenotypes under laboratory conditions. However, the extent to which they do so in free-living animal populations and the proximate mechanisms involved remain open questions. In this study, using long-term, individual-based life history and shallow shotgun metagenomic sequencing data (2394 fecal samples from 794 individuals collected between 2013-2019), we quantify relationships between gut microbiome variation and survival in a feral population of horses under natural food limitation (Sable Island, Canada), and test metagenome-derived predictions using short-chain fatty acid data. We report detailed evidence that variation in the gut microbiome is associated with a host fitness proxy in nature and outline hypotheses of pathogenesis and methanogenesis as key causal mechanisms which may underlie such patterns in feral horses, and perhaps, wild herbivores more generally.
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Affiliation(s)
- Mason R Stothart
- Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.
- Department of Biology, University of Oxford, Oxford, United Kingdom.
| | - Philip D McLoughlin
- Department of Biology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Sarah A Medill
- Department of Biology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Ruth J Greuel
- Department of Biology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Alastair J Wilson
- Centre for Ecology and Conservation, University of Exeter, Penryn, United Kingdom
| | - Jocelyn Poissant
- Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.
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7
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Boyle JA, Frederickson ME, Stinchcombe JR. Genetic architecture of heritable leaf microbes. Microbiol Spectr 2024; 12:e0061024. [PMID: 38842309 PMCID: PMC11218475 DOI: 10.1128/spectrum.00610-24] [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: 03/06/2024] [Accepted: 05/02/2024] [Indexed: 06/07/2024] Open
Abstract
Host-associated microbiomes are shaped by both their environment and host genetics, and often impact host performance. The scale of host genetic variation important to microbes is largely unknown yet fundamental to the community assembly of host-associated microbiomes, with implications for the eco-evolutionary dynamics of microbes and hosts. Using Ipomoea hederacea, ivyleaf morning glory, we generated matrilines differing in quantitative genetic variation and leaf shape, which is controlled by a single Mendelian locus. We then investigated the relative roles of Mendelian and quantitative genetic variation in structuring the leaf microbiome and how these two sources of genetic variation contributed to microbe heritability. We found that despite large effects of the environment, both Mendelian and quantitative genetic host variation contribute to microbe heritability and that the cumulative small effect genomic differences due to matriline explained as much or more microbial variation than a single large effect Mendelian locus. Furthermore, our results are the first to suggest that leaf shape itself contributes to variation in the abundances of some phyllosphere microbes.IMPORTANCEWe investigated how host genetic variation affects the assembly of Ipomoea hederacea's natural microbiome. We found that the genetic architecture of leaf-associated microbiomes involves both quantitative genetic variation and Mendelian traits, with similar contributions to microbe heritability. The existence of Mendelian and quantitative genetic variation for host-associated microbes means that plant evolution at the leaf shape locus or other quantitative genetic loci has the potential to shape microbial abundance and community composition.
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Affiliation(s)
- Julia A Boyle
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Megan E Frederickson
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - John R Stinchcombe
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
- Swedish Collegium for Advanced Study, Uppsala, Sweden
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8
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Grieneisen L, Hays A, Cook E, Blekhman R, Tecot S. Temporal patterns of gut microbiota in lemurs (Eulemur rubriventer) living in intact and disturbed habitats in a novel sample type. Am J Primatol 2024:e23656. [PMID: 38873762 DOI: 10.1002/ajp.23656] [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: 06/01/2023] [Revised: 05/20/2024] [Accepted: 06/06/2024] [Indexed: 06/15/2024]
Abstract
The gut microbiome is a plastic phenotype; gut microbial composition is highly variable across an individual host's lifetime and between host social groups, and this variation has consequences for host health. However, we do not yet fully understand how longitudinal microbial dynamics and their social drivers may be influenced by ecological stressors, such as habitat degradation. Answering these questions is difficult in most wild animal systems, as it requires long-term collections of matched host, microbiome, and environmental trait data. To test if temporal and social influences on microbiome composition differ by the history of human disturbance, we leveraged banked, desiccated fecal samples collected over 5 months in 2004 from two ecologically distinct populations of wild, red-bellied lemurs (Eulemur rubriventer) that are part of a long-term study system. We found that social group explained more variation in microbiome composition than host population membership did, and that temporal variation in common microbial taxa was similar between populations, despite differences in history of human disturbance. Furthermore, we found that social group membership and collection month were both more important than individual lemur identity. Taken together, our results suggest that synchronized environments use can lead to synchronized microbial dynamics over time, even between habitats of varying quality, and that desiccated samples could become a viable approach for studying primate gut microbiota. Our work opens the door for other projects to utilize historic biological sample data sets to answer novel temporal microbiome questions in an ecological context.
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Affiliation(s)
- Laura Grieneisen
- Department of Biology, University of British Columbia-Okanagan Campus, Kelowna, BC, Canada
| | - Allison Hays
- Laboratory for the Evolutionary Endocrinology of Primates, University of Arizona, Tucson, AZ, USA
- School of Anthropology, University of Arizona, Tucson, AZ, USA
| | - Erica Cook
- Laboratory for the Evolutionary Endocrinology of Primates, University of Arizona, Tucson, AZ, USA
| | - Ran Blekhman
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Stacey Tecot
- Laboratory for the Evolutionary Endocrinology of Primates, University of Arizona, Tucson, AZ, USA
- School of Anthropology, University of Arizona, Tucson, AZ, USA
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Horváthová T, Lafuente E, Bartels J, Wallisch J, Vorburger C. Tolerance to environmental pollution in the freshwater crustacean Asellus aquaticus: A role for the microbiome. ENVIRONMENTAL MICROBIOLOGY REPORTS 2024; 16:e13252. [PMID: 38783543 PMCID: PMC11116767 DOI: 10.1111/1758-2229.13252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 03/13/2024] [Indexed: 05/25/2024]
Abstract
Freshwater habitats are frequently contaminated by diverse chemicals of anthropogenic origin, collectively referred to as micropollutants, that can have detrimental effects on aquatic life. The animals' tolerance to micropollutants may be mediated by their microbiome. If polluted aquatic environments select for contaminant-degrading microbes, the acquisition of such microbes by the host may increase its tolerance to pollution. Here we tested for the potential effects of the host microbiome on the growth and survival of juvenile Asellus aquaticus, a widespread freshwater crustacean. Using faecal microbiome transplants, we provided newly hatched juveniles with the microbiome isolated from donor adults reared in either clean or micropollutant-contaminated water and, after transplantation, recipient juveniles were reared in water with and without micropollutants. The experiment revealed a significant negative effect of the micropollutants on the survival of juvenile isopods regardless of the received faecal microbiome. The micropollutants had altered the composition of the bacterial component of the donors' microbiome, which in turn influenced the microbiome of juvenile recipients. Hence, we show that relatively high environmental concentrations of micropollutants reduce survival and alter the microbiome composition of juvenile A. aquaticus, but we have no evidence that tolerance to micropollutants is modulated by their microbiome.
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Affiliation(s)
- Terézia Horváthová
- Department of Aquatic EcologyEawagDübendorfSwitzerland
- Institute of Soil Biology and BiochemistryBiology Centre CASČeské BudějoviceCzechia
| | - Elvira Lafuente
- Department of Aquatic EcologyEawagDübendorfSwitzerland
- Instituto Gulbenkian de CiênciaOeirasPortugal
| | | | | | - Christoph Vorburger
- Department of Aquatic EcologyEawagDübendorfSwitzerland
- D‐USYS, Department of Environmental Systems ScienceETH ZürichZürichSwitzerland
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10
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Teymoori F, Mokhtari E, Farhadnejad H, Ahmadirad H, Akbarzadeh M, Riahi P, Zarkesh M, Daneshpour MS, Mirmiran P, Vafa M. Energy and macronutrient intake heritability: A systematic review and meta-analysis of twin and family-based studies. Clin Nutr ESPEN 2024; 61:79-87. [PMID: 38777476 DOI: 10.1016/j.clnesp.2024.03.016] [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: 11/19/2023] [Revised: 02/17/2024] [Accepted: 03/08/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND/AIMS The current meta-analysis aimed to examine the heritability and familial resemblance of dietary intakes, including energy and macronutrients in both twin and family-based studies. METHODS The online literature databases, including PubMed, Scopus, and Web of Science were searched comprehensively until 2023 to identify the relevant studies. The heritability index in family studies was h2 and the heritability indices for twin studies were h2, A2, and E2. Three weighted methods were used to calculate the mean and SE of heritability dietary intakes. RESULTS Eighteen papers including 8 studies on familial population and 12 for twin population studies were included in the present meta-analysis. The heritability of dietary intakes in twin studies (range of pooled estimated h2, A2, and E2 was 30-55%, 14-42%, and 52-79%, respectively) was higher than family studies (range of pooled estimated h2 = 16-39%). In family studies, the highest and lowest heritability for various nutrients was observed for the fat (%Kcal) (h2 range:36-38%) and carbohydrate in g (h2 range:16-18%), respectively. In twin studies, based on mean h2, the highest and lowest heritability for various nutrients was reported for the fat (%Kcal) (h2 range:49-55%) and protein intake in g (h2 range:30-35%), respectively. Also, based on the mean of A2, the highest and lowest heritability was observed for carbohydrates (% Kcal) (A2 range:42-42%), and protein (% Kcal) (A2 range:14-16%), respectively. Furthermore, in twin studies, the highest and lowest mean of E2 was shown for saturated fats (E2 range:74-79%) and energy intake (E2 range:52-57%), respectively. CONCLUSION Our analysis indicated that both environmental factors and genetics have noticeable contributions in determining the heritability of dietary intakes. Also, we observed higher heritability in twins compared to family studies.
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Affiliation(s)
- Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
| | - Ebrahim Mokhtari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Hossein Farhadnejad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Hamid Ahmadirad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mahdi Akbarzadeh
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Parisa Riahi
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Maryam Zarkesh
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Maryam S Daneshpour
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mohammadreza Vafa
- Nutritional Sciences Research Center, Iran University of Medical Sciences, Tehran, Iran; Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
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Lin Q, Lin S, Fan Z, Liu J, Ye D, Guo P. A Review of the Mechanisms of Bacterial Colonization of the Mammal Gut. Microorganisms 2024; 12:1026. [PMID: 38792855 PMCID: PMC11124445 DOI: 10.3390/microorganisms12051026] [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: 04/18/2024] [Revised: 05/12/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
A healthy animal intestine hosts a diverse population of bacteria in a symbiotic relationship. These bacteria utilize nutrients in the host's intestinal environment for growth and reproduction. In return, they assist the host in digesting and metabolizing nutrients, fortifying the intestinal barrier, defending against potential pathogens, and maintaining gut health. Bacterial colonization is a crucial aspect of this interaction between bacteria and the intestine and involves the attachment of bacteria to intestinal mucus or epithelial cells through nonspecific or specific interactions. This process primarily relies on adhesins. The binding of bacterial adhesins to host receptors is a prerequisite for the long-term colonization of bacteria and serves as the foundation for the pathogenicity of pathogenic bacteria. Intervening in the adhesion and colonization of bacteria in animal intestines may offer an effective approach to treating gastrointestinal diseases and preventing pathogenic infections. Therefore, this paper reviews the situation and mechanisms of bacterial colonization, the colonization characteristics of various bacteria, and the factors influencing bacterial colonization. The aim of this study was to serve as a reference for further research on bacteria-gut interactions and improving animal gut health.
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Affiliation(s)
- Qingjie Lin
- College of Animal Science, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China; (Q.L.); (S.L.); (Z.F.)
| | - Shiying Lin
- College of Animal Science, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China; (Q.L.); (S.L.); (Z.F.)
| | - Zitao Fan
- College of Animal Science, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China; (Q.L.); (S.L.); (Z.F.)
| | - Jing Liu
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China;
| | - Dingcheng Ye
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China;
| | - Pingting Guo
- College of Animal Science, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China; (Q.L.); (S.L.); (Z.F.)
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12
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Li X, Zheng X, Yadav N, Saha S, Salama ES, Li X, Wang L, Jeon BH. Rational management of the plant microbiome for the Second Green Revolution. PLANT COMMUNICATIONS 2024; 5:100812. [PMID: 38213028 PMCID: PMC11009158 DOI: 10.1016/j.xplc.2024.100812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 11/06/2023] [Accepted: 01/05/2024] [Indexed: 01/13/2024]
Abstract
The Green Revolution of the mid-20th century transformed agriculture worldwide and has resulted in environmental challenges. A new approach, the Second Green Revolution, seeks to enhance agricultural productivity while minimizing negative environmental impacts. Plant microbiomes play critical roles in plant growth and stress responses, and understanding plant-microbiome interactions is essential for developing sustainable agricultural practices that meet food security and safety challenges, which are among the United Nations Sustainable Development Goals. This review provides a comprehensive exploration of key deterministic processes crucial for developing microbiome management strategies, including the host effect, the facilitator effect, and microbe-microbe interactions. A hierarchical framework for plant microbiome modulation is proposed to bridge the gap between basic research and agricultural applications. This framework emphasizes three levels of modulation: single-strain, synthetic community, and in situ microbiome modulation. Overall, rational management of plant microbiomes has wide-ranging applications in agriculture and can potentially be a core technology for the Second Green Revolution.
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Affiliation(s)
- Xiaofang Li
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
| | - Xin Zheng
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
| | - Nikita Yadav
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul 04763, South Korea
| | - Shouvik Saha
- Natural Resources Research Institute, University of Minnesota Duluth, Hermantown, MN 55811, USA; Department of Biotechnology, Brainware University, Barasat, Kolkata 700125, West Bengal, India
| | - El-Sayed Salama
- Department of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China
| | - Xiangkai Li
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Science, Lanzhou University, Lanzhou, Gansu 730000, China
| | - Likun Wang
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China.
| | - Byong-Hun Jeon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul 04763, South Korea.
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Han Y, Liu X, Jia Q, Xu J, Shi J, Li X, Xie G, Zhao X, He K. Longitudinal multi-omics analysis uncovers the altered landscape of gut microbiota and plasma metabolome in response to high altitude. MICROBIOME 2024; 12:70. [PMID: 38581016 PMCID: PMC10996103 DOI: 10.1186/s40168-024-01781-5] [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: 08/16/2023] [Accepted: 02/22/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Gut microbiota is significantly influenced by altitude. However, the dynamics of gut microbiota in relation to altitude remains undisclosed. METHODS In this study, we investigated the microbiome profile of 610 healthy young men from three different places in China, grouped by altitude, duration of residence, and ethnicity. We conducted widely targeted metabolomic profiling and clinical testing to explore metabolic characteristics. RESULTS Our findings revealed that as the Han individuals migrated from low altitude to high latitude, the gut microbiota gradually converged towards that of the Tibetan populations but reversed upon returning to lower altitude. Across different cohorts, we identified 51 species specifically enriched during acclimatization and 57 species enriched during deacclimatization to high altitude. Notably, Prevotella copri was found to be the most enriched taxon in both Tibetan and Han populations after ascending to high altitude. Furthermore, significant variations in host plasma metabolome and clinical indices at high altitude could be largely explained by changes in gut microbiota composition. Similar to Tibetans, 41 plasma metabolites, such as lactic acid, sphingosine-1-phosphate, taurine, and inositol, were significantly elevated in Han populations after ascending to high altitude. Germ-free animal experiments demonstrated that certain species, such as Escherichia coli and Klebsiella pneumoniae, which exhibited altitude-dependent variations in human populations, might play crucial roles in host purine metabolism. CONCLUSIONS This study provides insights into the dynamics of gut microbiota and host plasma metabolome with respect to altitude changes, indicating that their dynamics may have implications for host health at high altitude and contribute to host adaptation. Video Abstract.
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Affiliation(s)
- Yang Han
- Medical Big Data Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
- Beijing Key Laboratory of Precision Medicine for Chronic Heart Failure, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
- National Engineering Research Center for Medical Big Data Application Technology, Chinese PLA General Hospital, Beijing, China
| | | | - Qian Jia
- Beijing Key Laboratory of Precision Medicine for Chronic Heart Failure, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
- National Engineering Research Center for Medical Big Data Application Technology, Chinese PLA General Hospital, Beijing, China
| | - Jiayu Xu
- Medical Big Data Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
- National Engineering Research Center for Medical Big Data Application Technology, Chinese PLA General Hospital, Beijing, China
| | - Jinlong Shi
- Medical Big Data Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China
- National Engineering Research Center for Medical Big Data Application Technology, Chinese PLA General Hospital, Beijing, China
| | - Xiang Li
- Ping An Healthcare Technology, Beijing, China
| | - Guotong Xie
- Ping An Healthcare Technology, Ping An Health Cloud Company Limited, Beijing, China
| | - Xiaojing Zhao
- Beijing Key Laboratory of Precision Medicine for Chronic Heart Failure, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China.
- National Engineering Research Center for Medical Big Data Application Technology, Chinese PLA General Hospital, Beijing, China.
| | - Kunlun He
- Medical Big Data Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China.
- Beijing Key Laboratory of Precision Medicine for Chronic Heart Failure, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China.
- National Engineering Research Center for Medical Big Data Application Technology, Chinese PLA General Hospital, Beijing, China.
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14
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Peters B, Vahlhaus J, Pivovarova-Ramich O. Meal timing and its role in obesity and associated diseases. Front Endocrinol (Lausanne) 2024; 15:1359772. [PMID: 38586455 PMCID: PMC10995378 DOI: 10.3389/fendo.2024.1359772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/01/2024] [Indexed: 04/09/2024] Open
Abstract
Meal timing emerges as a crucial factor influencing metabolic health that can be explained by the tight interaction between the endogenous circadian clock and metabolic homeostasis. Mistimed food intake, such as delayed or nighttime consumption, leads to desynchronization of the internal circadian clock and is associated with an increased risk for obesity and associated metabolic disturbances such as type 2 diabetes and cardiovascular diseases. Conversely, meal timing aligned with cellular rhythms can optimize the performance of tissues and organs. In this review, we provide an overview of the metabolic effects of meal timing and discuss the underlying mechanisms. Additionally, we explore factors influencing meal timing, including internal determinants such as chronotype and genetics, as well as external influences like social factors, cultural aspects, and work schedules. This review could contribute to defining meal-timing-based recommendations for public health initiatives and developing guidelines for effective lifestyle modifications targeting the prevention and treatment of obesity and associated metabolic diseases. Furthermore, it sheds light on crucial factors that must be considered in the design of future food timing intervention trials.
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Affiliation(s)
- Beeke Peters
- Research Group Molecular Nutritional Medicine and Department of Human Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München, Germany
| | - Janna Vahlhaus
- Research Group Molecular Nutritional Medicine and Department of Human Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- University of Lübeck, Lübeck, Germany
| | - Olga Pivovarova-Ramich
- Research Group Molecular Nutritional Medicine and Department of Human Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- University of Lübeck, Lübeck, Germany
- Department of Endocrinology and Metabolism, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, Berlin, Germany
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15
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Lin W, Wall JD, Li G, Newman D, Yang Y, Abney M, VandeBerg JL, Olivier M, Gilad Y, Cox LA. Genetic regulatory effects in response to a high-cholesterol, high-fat diet in baboons. CELL GENOMICS 2024; 4:100509. [PMID: 38430910 PMCID: PMC10943580 DOI: 10.1016/j.xgen.2024.100509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/20/2023] [Accepted: 02/05/2024] [Indexed: 03/05/2024]
Abstract
Steady-state expression quantitative trait loci (eQTLs) explain only a fraction of disease-associated loci identified through genome-wide association studies (GWASs), while eQTLs involved in gene-by-environment (GxE) interactions have rarely been characterized in humans due to experimental challenges. Using a baboon model, we found hundreds of eQTLs that emerge in adipose, liver, and muscle after prolonged exposure to high dietary fat and cholesterol. Diet-responsive eQTLs exhibit genomic localization and genic features that are distinct from steady-state eQTLs. Furthermore, the human orthologs associated with diet-responsive eQTLs are enriched for GWAS genes associated with human metabolic traits, suggesting that context-responsive eQTLs with more complex regulatory effects are likely to explain GWAS hits that do not seem to overlap with standard eQTLs. Our results highlight the complexity of genetic regulatory effects and the potential of eQTLs with disease-relevant GxE interactions in enhancing the understanding of GWAS signals for human complex disease using non-human primate models.
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Affiliation(s)
- Wenhe Lin
- Department of Human Genetics, The University of Chicago, Chicago, IL 60637, USA.
| | - Jeffrey D Wall
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Ge Li
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Deborah Newman
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX 78229, USA
| | - Yunqi Yang
- Committee on Genetics, Genomics and System Biology, The University of Chicago, Chicago, IL 60637, USA
| | - Mark Abney
- Department of Human Genetics, The University of Chicago, Chicago, IL 60637, USA
| | - John L VandeBerg
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
| | - Michael Olivier
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Yoav Gilad
- Department of Human Genetics, The University of Chicago, Chicago, IL 60637, USA; Department of Medicine, Section of Genetic Medicine, The University of Chicago, Chicago, IL 60637, USA.
| | - Laura A Cox
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX 78229, USA.
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16
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Podar NA, Carrell AA, Cassidy KA, Klingeman DM, Yang Z, Stahler EA, Smith DW, Stahler DR, Podar M. From wolves to humans: oral microbiome resistance to transfer across mammalian hosts. mBio 2024; 15:e0334223. [PMID: 38299854 PMCID: PMC10936156 DOI: 10.1128/mbio.03342-23] [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: 12/18/2023] [Accepted: 12/21/2023] [Indexed: 02/02/2024] Open
Abstract
The mammalian mouth is colonized by complex microbial communities, adapted to specific niches, and in homeostasis with the host. Individual microbes interact metabolically and rely primarily on nutrients provided by the host, with which they have potentially co-evolved along the mammalian lineages. The oral environment is similar across mammals, but the diversity, specificity, and evolution of community structure in related or interacting mammals are little understood. Here, we compared the oral microbiomes of dogs with those of wild wolves and humans. In dogs, we found an increased microbial diversity relative to wolves, possibly related to the transition to omnivorous nutrition following domestication. This includes a larger diversity of Patescibacteria than previously reported in any other oral microbiota. The oral microbes are most distinct at bacterial species or strain levels, with few if any shared between humans and canids, while the close evolutionary relationship between wolves and dogs is reflected by numerous shared taxa. More taxa are shared at higher taxonomic levels including with humans, supporting their more ancestral common mammalian colonization followed by diversification. Phylogenies of selected oral bacterial lineages do not support stable human-dog microbial transfers but suggest diversification along mammalian lineages (apes and canids). Therefore, despite millennia of cohabitation and close interaction, the host and its native community controls and limits the assimilation of new microbes, even if closely related. Higher resolution metagenomic and microbial physiological studies, covering a larger mammalian diversity, should help understand how oral communities assemble, adapt, and interact with their hosts.IMPORTANCENumerous types of microbes colonize the mouth after birth and play important roles in maintaining oral health. When the microbiota-host homeostasis is perturbed, proliferation of some bacteria leads to diseases such as caries and periodontitis. Unlike the gut microbiome, the diversity of oral microbes across the mammalian evolutionary space is not understood. Our study compared the oral microbiomes of wild wolves, dogs, and apes (humans, chimpanzees, and bonobos), with the aim of identifying if microbes have been potentially exchanged between humans and dogs as a result of domestication and cohabitation. We found little if any evidence for such exchanges. The significance of our research is in finding that the oral microbiota and/or the host limit the acquisition of exogenous microbes, which is important in the context of natural exclusion of potential novel pathogens. We provide a framework for expanded higher-resolution studies across domestic and wild animals to understand resistance/resilience.
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Affiliation(s)
- Nicholas A. Podar
- School of Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Alyssa A. Carrell
- Biosciences Department, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Kira A. Cassidy
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA
| | - Dawn M. Klingeman
- Biosciences Department, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Zamin Yang
- Biosciences Department, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Erin A. Stahler
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA
| | - Douglas W. Smith
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA
| | - Daniel R. Stahler
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA
| | - Mircea Podar
- Biosciences Department, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
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17
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Zou Y, Wang S, Zhang H, Gu Y, Chen H, Huang Z, Yang F, Li W, Chen C, Men L, Tian Q, Xie T. The triangular relationship between traditional Chinese medicines, intestinal flora, and colorectal cancer. Med Res Rev 2024; 44:539-567. [PMID: 37661373 DOI: 10.1002/med.21989] [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: 03/18/2022] [Revised: 07/05/2023] [Accepted: 08/05/2023] [Indexed: 09/05/2023]
Abstract
Over the past decade, colorectal cancer has reported a higher incidence in younger adults and a lower mortality rate. Recently, the influence of the intestinal flora in the initiation, progression, and treatment of colorectal cancer has been extensively studied, as well as their positive therapeutic impact on inflammation and the cancer microenvironment. Historically, traditional Chinese medicine (TCM) has been widely used in the treatment of colorectal cancer via promoted cancer cell apoptosis, inhibited cancer metastasis, and reduced drug resistance and side effects. The present research is more on the effect of either herbal medicine or intestinal flora on colorectal cancer. The interactions between TCM and intestinal flora are bidirectional and the combined impacts of TCM and gut microbiota in the treatment of colon cancer should not be neglected. Therefore, this review discusses the role of intestinal bacteria in the progression and treatment of colorectal cancer by inhibiting carcinogenesis, participating in therapy, and assisting in healing. Then the complex anticolon cancer effects of different kinds of TCM monomers, TCM drug pairs, and traditional Chinese prescriptions embodied in apoptosis, metastasis, immune suppression, and drug resistance are summarized separately. In addition, the interaction between TCM and intestinal flora and the combined effect on cancer treatment were analyzed. This review provides a mechanistic reference for the application of TCM and intestinal flora in the clinical treatment of colorectal cancer and paves the way for the combined development and application of microbiome and TCM.
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Affiliation(s)
- Yuqing Zou
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Shuling Wang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Honghua Zhang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Yuxin Gu
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Huijuan Chen
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Zhihua Huang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Feifei Yang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Wenqi Li
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Cheng Chen
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Lianhui Men
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Qingchang Tian
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Tian Xie
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
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Liu X, Yu J, Huan Z, Xu M, Song T, Yang R, Zhu W, Jiang J. Comparing the gut microbiota of Sichuan golden monkeys across multiple captive and wild settings: roles of anthropogenic activities and host factors. BMC Genomics 2024; 25:148. [PMID: 38321370 PMCID: PMC10848473 DOI: 10.1186/s12864-024-10041-7] [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: 08/31/2023] [Accepted: 01/22/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Captivity and artificial food provision are common conservation strategies for the endangered golden snub-nosed monkey (Rhinopithecus roxellana). Anthropogenic activities have been reported to impact the fitness of R. roxellana by altering their gut microbiota, a crucial indicator of animal health. Nevertheless, the degree of divergence in gut microbiota between different anthropogenically-disturbed (AD) R. roxellana and their counterparts in the wild has yet to be elucidated. Here, we conducted a comparative analysis of the gut microbiota across nine populations of R. roxellana spanning China, which included seven captive populations, one wild population, and another wild population subject to artificial food provision. RESULTS Both captivity and food provision significantly altered the gut microbiota. AD populations exhibited common variations, such as increased Bacteroidetes and decreased Firmicutes (e.g., Ruminococcus), Actinobacteria (e.g., Parvibacter), Verrucomicrobia (e.g., Akkermansia), and Tenericutes. Additionally, a reduced Firmicutes/Bacteroidetes ratiosuggested diminished capacity for complex carbohydrate degradation in captive individuals. The results of microbial functional prediction suggested that AD populations displayed heightened microbial genes linked to vitamin and amino acid metabolism, alongside decreased genes associated antibiotics biosynthesis (e.g., penicillin, cephalosporin, macrolides, and clavulanic acid) and secondary metabolite degradation (e.g., naphthalene and atrazine). These microbial alterations implied potential disparities in the health status between AD and wild individuals. AD populations exhibited varying degrees of microbial changes compared to the wild group, implying that the extent of these variations might serve as a metric for assessing the health status of AD populations. Furthermore, utilizing the individual information of captive individuals, we identified associations between variations in the gut microbiota of R. roxellana and host age, as well as pedigree. Older individuals exhibited higher microbial diversity, while a closer genetic relatedness reflected a more similar gut microbiota. CONCLUSIONS Our aim was to assess how anthropogenic activities and host factors influence the gut microbiota of R. roxellana. Anthropogenic activities led to consistent changes in gut microbial diversity and function, while host age and genetic relatedness contributed to interindividual variations in the gut microbiota. These findings may contribute to the establishment of health assessment standards and the optimization of breeding conditions for captive R. roxellana populations.
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Affiliation(s)
- Xuanzhen Liu
- Chengdu Zoo & Chengdu Research Institute of Wildlife, 610081, Chengdu, China
| | - Jianqiu Yu
- Chengdu Zoo & Chengdu Research Institute of Wildlife, 610081, Chengdu, China
| | - Zongjin Huan
- Chengdu Zoo & Chengdu Research Institute of Wildlife, 610081, Chengdu, China
| | - Mei Xu
- Chengdu Zoo & Chengdu Research Institute of Wildlife, 610081, Chengdu, China
| | - Ting Song
- Chengdu Zoo & Chengdu Research Institute of Wildlife, 610081, Chengdu, China
| | - Ruilin Yang
- Chengdu Zoo & Chengdu Research Institute of Wildlife, 610081, Chengdu, China
| | - Wei Zhu
- Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China.
| | - Jianping Jiang
- Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China
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19
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O'Brien AM, Laurich JR, Frederickson ME. Evolutionary consequences of microbiomes for hosts: impacts on host fitness, traits, and heritability. Evolution 2024; 78:237-252. [PMID: 37828761 DOI: 10.1093/evolut/qpad183] [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: 02/22/2022] [Revised: 08/30/2023] [Accepted: 10/03/2023] [Indexed: 10/14/2023]
Abstract
An organism's phenotypes and fitness often depend on the interactive effects of its genome (Ghost), microbiome (Gmicrobe), and environment (E). These G × G, G × E, and G × G × E effects fundamentally shape host-microbiome (co)evolution and may be widespread, but are rarely compared within a single experiment. We collected and cultured Lemnaminor (duckweed) and its associated microbiome from 10 sites across an urban-to-rural ecotone. We factorially manipulated host genotype and microbiome in two environments (low and high zinc, an urban aquatic stressor) in an experiment with 200 treatments: 10 host genotypes × 10 microbiomes × 2 environments. Host genotype explained the most variation in L.minor fitness and traits, while microbiome effects often depended on host genotype (G × G). Microbiome composition predicted G × G effects: when compared in more similar microbiomes, duckweed genotypes had more similar effects on traits. Further, host fitness increased and microbes grew faster when applied microbiomes more closely matched the host's field microbiome, suggesting some local adaptation between hosts and microbiota. Finally, selection on and heritability of host traits shifted across microbiomes and zinc exposure. Thus, we found that microbiomes impact host fitness, trait expression, and heritability, with implications for host-microbiome evolution and microbiome breeding.
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Affiliation(s)
- Anna M O'Brien
- Department of Molecular, Cellular, and Biomedical Sciences, University of New Hampshire, Durham, NH, United States
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Jason R Laurich
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Megan E Frederickson
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
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20
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Yarahmadi A, Afkhami H. The role of microbiomes in gastrointestinal cancers: new insights. Front Oncol 2024; 13:1344328. [PMID: 38361500 PMCID: PMC10867565 DOI: 10.3389/fonc.2023.1344328] [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: 12/01/2023] [Accepted: 12/20/2023] [Indexed: 02/17/2024] Open
Abstract
Gastrointestinal (GI) cancers constitute more than 33% of new cancer cases worldwide and pose a considerable burden on public health. There exists a growing body of evidence that has systematically recorded an upward trajectory in GI malignancies within the last 5 to 10 years, thus presenting a formidable menace to the health of the human population. The perturbations in GI microbiota may have a noteworthy influence on the advancement of GI cancers; however, the precise mechanisms behind this association are still not comprehensively understood. Some bacteria have been observed to support cancer development, while others seem to provide a safeguard against it. Recent studies have indicated that alterations in the composition and abundance of microbiomes could be associated with the progression of various GI cancers, such as colorectal, gastric, hepatic, and esophageal cancers. Within this comprehensive analysis, we examine the significance of microbiomes, particularly those located in the intestines, in GI cancers. Furthermore, we explore the impact of microbiomes on various treatment modalities for GI cancer, including chemotherapy, immunotherapy, and radiotherapy. Additionally, we delve into the intricate mechanisms through which intestinal microbes influence the efficacy of GI cancer treatments.
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Affiliation(s)
- Aref Yarahmadi
- Department of Biology, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran
| | - Hamed Afkhami
- Nervous System Stem Cells Research Center, Semnan University of Medical Sciences, Semnan, Iran
- Cellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran
- Department of Medical Microbiology, Faculty of Medicine, Shahed University, Tehran, Iran
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21
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Sarkar A, McInroy CJA, Harty S, Raulo A, Ibata NGO, Valles-Colomer M, Johnson KVA, Brito IL, Henrich J, Archie EA, Barreiro LB, Gazzaniga FS, Finlay BB, Koonin EV, Carmody RN, Moeller AH. Microbial transmission in the social microbiome and host health and disease. Cell 2024; 187:17-43. [PMID: 38181740 PMCID: PMC10958648 DOI: 10.1016/j.cell.2023.12.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 01/07/2024]
Abstract
Although social interactions are known to drive pathogen transmission, the contributions of socially transmissible host-associated mutualists and commensals to host health and disease remain poorly explored. We use the concept of the social microbiome-the microbial metacommunity of a social network of hosts-to analyze the implications of social microbial transmission for host health and disease. We investigate the contributions of socially transmissible microbes to both eco-evolutionary microbiome community processes (colonization resistance, the evolution of virulence, and reactions to ecological disturbance) and microbial transmission-based processes (transmission of microbes with metabolic and immune effects, inter-specific transmission, transmission of antibiotic-resistant microbes, and transmission of viruses). We consider the implications of social microbial transmission for communicable and non-communicable diseases and evaluate the importance of a socially transmissible component underlying canonically non-communicable diseases. The social transmission of mutualists and commensals may play a significant, under-appreciated role in the social determinants of health and may act as a hidden force in social evolution.
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Affiliation(s)
- Amar Sarkar
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Cameron J A McInroy
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Siobhán Harty
- Independent, Tandy Court, Spitalfields, Dublin, Ireland
| | - Aura Raulo
- Department of Biology, University of Oxford, Oxford, UK; Department of Computing, University of Turku, Turku, Finland
| | - Neil G O Ibata
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Mireia Valles-Colomer
- Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain; Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Katerina V-A Johnson
- Institute of Psychology, Leiden University, Leiden, the Netherlands; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Ilana L Brito
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Joseph Henrich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Elizabeth A Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Luis B Barreiro
- Committee on Immunology, University of Chicago, Chicago, IL, USA; Department of Medicine, University of Chicago, Chicago, IL, USA; Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
| | - Francesca S Gazzaniga
- Molecular Pathology Unit, Cancer Center, Massachusetts General Hospital Research Institute, Charlestown, MA, USA; Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - B Brett Finlay
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada; Department of Biochemistry, University of British Columbia, Vancouver, BC, Canada
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD, USA
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Andrew H Moeller
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
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22
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Chetty A, Blekhman R. Multi-omic approaches for host-microbiome data integration. Gut Microbes 2024; 16:2297860. [PMID: 38166610 PMCID: PMC10766395 DOI: 10.1080/19490976.2023.2297860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 12/18/2023] [Indexed: 01/05/2024] Open
Abstract
The gut microbiome interacts with the host through complex networks that affect physiology and health outcomes. It is becoming clear that these interactions can be measured across many different omics layers, including the genome, transcriptome, epigenome, metabolome, and proteome, among others. Multi-omic studies of the microbiome can provide insight into the mechanisms underlying host-microbe interactions. As more omics layers are considered, increasingly sophisticated statistical methods are required to integrate them. In this review, we provide an overview of approaches currently used to characterize multi-omic interactions between host and microbiome data. While a large number of studies have generated a deeper understanding of host-microbiome interactions, there is still a need for standardization across approaches. Furthermore, microbiome studies would also benefit from the collection and curation of large, publicly available multi-omics datasets.
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Affiliation(s)
- Ashwin Chetty
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, IL, USA
| | - Ran Blekhman
- Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA
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23
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Di Gesù CM, Buffington SA. The early life exposome and autism risk: a role for the maternal microbiome? Gut Microbes 2024; 16:2385117. [PMID: 39120056 PMCID: PMC11318715 DOI: 10.1080/19490976.2024.2385117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 07/22/2024] [Accepted: 07/23/2024] [Indexed: 08/10/2024] Open
Abstract
Autism spectrum disorders (ASD) are highly heritable, heterogeneous neurodevelopmental disorders characterized by clinical presentation of atypical social, communicative, and repetitive behaviors. Over the past 25 years, hundreds of ASD risk genes have been identified. Many converge on key molecular pathways, from translational control to those regulating synaptic structure and function. Despite these advances, therapeutic approaches remain elusive. Emerging data unearthing the relationship between genetics, microbes, and immunity in ASD suggest an integrative physiology approach could be paramount to delivering therapeutic breakthroughs. Indeed, the advent of large-scale multi-OMIC data acquisition, analysis, and interpretation is yielding an increasingly mechanistic understanding of ASD and underlying risk factors, revealing how genetic susceptibility interacts with microbial genetics, metabolism, epigenetic (re)programming, and immunity to influence neurodevelopment and behavioral outcomes. It is now possible to foresee exciting advancements in the treatment of some forms of ASD that could markedly improve quality of life and productivity for autistic individuals. Here, we highlight recent work revealing how gene X maternal exposome interactions influence risk for ASD, with emphasis on the intrauterine environment and fetal neurodevelopment, host-microbe interactions, and the evolving therapeutic landscape for ASD.
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Affiliation(s)
- Claudia M. Di Gesù
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Shelly A. Buffington
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
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24
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Hill MS, Gilbert JA. Microbiology of the built environment: harnessing human-associated built environment research to inform the study and design of animal nests and enclosures. Microbiol Mol Biol Rev 2023; 87:e0012121. [PMID: 38047636 PMCID: PMC10732082 DOI: 10.1128/mmbr.00121-21] [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] [Indexed: 12/05/2023] Open
Abstract
SUMMARYOver the past decade, hundreds of studies have characterized the microbial communities found in human-associated built environments (BEs). These have focused primarily on how the design and use of our built spaces have shaped human-microbe interactions and how the differential selection of certain taxa or genetic traits has influenced health outcomes. It is now known that the more removed humans are from the natural environment, the greater the risk for the development of autoimmune and allergic diseases, and that indoor spaces can be harsh, selective environments that can increase the emergence of antimicrobial-resistant and virulent phenotypes in surface-bound communities. However, despite the abundance of research that now points to the importance of BEs in determining human-microbe interactions, only a fraction of non-human animal structures have been comparatively explored. It is here, in the context of human-associated BE research, that we consider the microbial ecology of animal-built natural nests and burrows, as well as artificial enclosures, and point to areas of primary interest for future research.
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Affiliation(s)
- Megan S. Hill
- Department of Pediatrics, University of California San Diego School of Medicine, San Diego, California, USA
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Jack A. Gilbert
- Department of Pediatrics, University of California San Diego School of Medicine, San Diego, California, USA
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
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25
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Clauss M, Fritz J, Hummel J. Teeth and the gastrointestinal tract in mammals: when 1 + 1 = 3. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220544. [PMID: 37839451 PMCID: PMC10577037 DOI: 10.1098/rstb.2022.0544] [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: 02/22/2023] [Accepted: 06/02/2023] [Indexed: 10/17/2023] Open
Abstract
Both teeth and the digestive tract show adaptations that are commonly interpreted in the context of trophic guilds-faunivory, herbivory and omnivory. Teeth prepare food for the digestive tract, and dental evolution focuses on increasing durability and functionality; in particular, size reduction of plant particles is an important preparation for microbial fermentative digestion. In narratives of digestive adaptations, microbes are typically considered as service providers, facilitating digestion. That the majority of 'herbivorous' (and possibly 'omnivorous') mammals display adaptations to maximize microbes' use as prey-by harvesting the microbes multiplying in their guts-is less emphasized and not reflected in trophic labels. Harvesting of microbes occurs either via coprophagy after separation from indigestible material by a separation mechanism in the hindgut, or from a forestomach by a 'washing mechanism' that selectively removes fines, including microbes, to the lower digestive tract. The evolution of this washing mechanism as part of the microbe farming niche opened the opportunity for the evolution of another mechanism that links teeth and guts in an innovative way-the sorting and cleaning of not-yet-sufficiently-size-reduced food that is then re-submitted to repeated mastication (rumination), leading to unprecedented chewing and digestive efficiency. This article is part of the theme issue 'Food processing and nutritional assimilation in animals'.
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Affiliation(s)
- Marcus Clauss
- Clinic for Zoo Animals, Exotic Pets and Wildlife, Vetsuisse Faculty, University of Zurich, 8057 Zurich, Switzerland
| | - Julia Fritz
- Zugspitzstr. 15 1/2, 82131 Stockdorf, Germany
| | - Jürgen Hummel
- Ruminant Nutrition, Department of Animal Sciences, University of Göttingen, Kellnerweg 6, 37077 Göttingen, Germany
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26
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Jiang X, Zhang B, Lan F, Zhong C, Jin J, Li X, Zhou Q, Li J, Yang N, Wen C, Sun C. Host genetics and gut microbiota jointly regulate blood biochemical indicators in chickens. Appl Microbiol Biotechnol 2023; 107:7601-7620. [PMID: 37792060 PMCID: PMC10656342 DOI: 10.1007/s00253-023-12814-8] [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: 05/24/2023] [Revised: 09/14/2023] [Accepted: 09/22/2023] [Indexed: 10/05/2023]
Abstract
Blood biochemical indicators play a crucial role in assessing an individual's overall health status and metabolic function. In this study, we measured five blood biochemical indicators, including total cholesterol (CHOL), low-density lipoprotein cholesterol (LDL-CH), triglycerides (TG), high-density lipoprotein cholesterol (HDL-CH), and blood glucose (BG), as well as 19 growth traits of 206 male chickens. By integrating host whole-genome information and 16S rRNA sequencing of the duodenum, jejunum, ileum, cecum, and feces microbiota, we assessed the contributions of host genetics and gut microbiota to blood biochemical indicators and their interrelationships. Our results demonstrated significant negative phenotypic and genetic correlations (r = - 0.20 ~ - 0.67) between CHOL and LDL-CH with growth traits such as body weight, abdominal fat content, muscle content, and shin circumference. The results of heritability and microbiability indicated that blood biochemical indicators were jointly regulated by host genetics and gut microbiota. Notably, the heritability of HDL-CH was estimated to be 0.24, while the jejunal microbiability for BG and TG reached 0.45 and 0.23. Furthermore, by conducting genome-wide association study (GWAS) with the single-nucleotide polymorphism (SNPs), insertion/deletion (indels), and structural variation (SV), we identified RAP2C, member of the RAS oncogene family (RAP2C), dedicator of cytokinesis 11 (DOCK11), neurotensin (NTS) and BOP1 ribosomal biogenesis factor (BOP1) as regulators of HDL-CH, and glycerophosphodiester phosphodiesterase domain containing 5 (GDPD5), dihydrodiol dehydrogenase (DHDH), and potassium voltage-gated channel interacting protein 1 (KCNIP1) as candidate genes of BG. Moreover, our findings suggest that cecal RF39 and Clostridia_UCG_014 may be linked to the regulation of CHOL, and jejunal Streptococcaceae may be involved in the regulation of TG. Additionally, microbial GWAS results indicated that the presence of gut microbiota was under host genetic regulation. Our findings provide valuable insights into the complex interaction between host genetics and microbiota in shaping the blood biochemical profile of chickens. KEY POINTS: • Multiple candidate genes were identified for the regulation of CHOL, HDL-CH, and BG. • RF39, Clostridia_UCG_014, and Streptococcaceae were implicated in CHOL and TG modulation. • The composition of gut microbiota is influenced by host genetics.
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Affiliation(s)
- Xinwei Jiang
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Boxuan Zhang
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Fangren Lan
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Conghao Zhong
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jiaming Jin
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xiaochang Li
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Qianqian Zhou
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Junying Li
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ning Yang
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Chaoliang Wen
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
| | - Congjiao Sun
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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27
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Bensch HM, Lundin D, Tolf C, Waldenström J, Zöttl M. Environmental effects rather than relatedness determine gut microbiome similarity in a social mammal. J Evol Biol 2023; 36:1753-1760. [PMID: 37584218 DOI: 10.1111/jeb.14208] [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: 12/09/2022] [Revised: 04/27/2023] [Accepted: 07/10/2023] [Indexed: 08/17/2023]
Abstract
In social species, group members commonly show substantial similarity in gut microbiome composition. Such similarities have been hypothesized to arise either by shared environmental effects or by host relatedness. However, disentangling these factors is difficult, because group members are often related, and social groups typically share similar environmental conditions. In this study, we conducted a cross-foster experiment under controlled laboratory conditions in group-living Damaraland mole-rats (Fukomys damarensis) and used 16S amplicon sequencing to disentangle the effects of the environment and relatedness on gut microbiome similarity and diversity. Our results show that a shared environment is the main factor explaining gut microbiome similarity, overshadowing any effect of host relatedness. Together with studies in wild animal populations, our results suggest that among conspecifics environmental factors are more powerful drivers of gut microbiome composition similarity than host genetics.
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Affiliation(s)
- Hanna M Bensch
- Department of Biology and Environmental Science, Centre for Ecology and Evolution in Microbial Model Systems (EEMIS), Linnaeus University, Kalmar, Sweden
- Kalahari Research Centre, Kuruman River Reserve, Van Zylsrus, South Africa
| | - Daniel Lundin
- Department of Biology and Environmental Science, Centre for Ecology and Evolution in Microbial Model Systems (EEMIS), Linnaeus University, Kalmar, Sweden
| | - Conny Tolf
- Department of Biology and Environmental Science, Centre for Ecology and Evolution in Microbial Model Systems (EEMIS), Linnaeus University, Kalmar, Sweden
| | - Jonas Waldenström
- Department of Biology and Environmental Science, Centre for Ecology and Evolution in Microbial Model Systems (EEMIS), Linnaeus University, Kalmar, Sweden
| | - Markus Zöttl
- Department of Biology and Environmental Science, Centre for Ecology and Evolution in Microbial Model Systems (EEMIS), Linnaeus University, Kalmar, Sweden
- Kalahari Research Centre, Kuruman River Reserve, Van Zylsrus, South Africa
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28
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Michel A, Minocher R, Niehoff PP, Li Y, Nota K, Gadhvi MA, Su J, Iyer N, Porter A, Ngobobo-As-Ibungu U, Binyinyi E, Nishuli Pekeyake R, Parducci L, Caillaud D, Guschanski K. Isolated Grauer's gorilla populations differ in diet and gut microbiome. Mol Ecol 2023; 32:6523-6542. [PMID: 35976262 DOI: 10.1111/mec.16663] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 08/09/2022] [Accepted: 08/11/2022] [Indexed: 11/30/2022]
Abstract
The animal gut microbiome has been implicated in a number of key biological processes, ranging from digestion to behaviour, and has also been suggested to facilitate local adaptation. Yet studies in wild animals rarely compare multiple populations that differ ecologically, which is the level at which local adaptation may occur. Further, few studies simultaneously characterize diet and gut microbiome from the same sample, despite their probable interdependence. Here, we investigate the interplay between diet and gut microbiome in three geographically isolated populations of the critically endangered Grauer's gorilla (Gorilla beringei graueri), which we show to be genetically differentiated. We find population- and social group-specific dietary and gut microbial profiles and covariation between diet and gut microbiome, despite the presence of core microbial taxa. There was no detectable effect of age, and only marginal effects of sex and genetic relatedness on the microbiome. Diet differed considerably across populations, with the high-altitude population consuming a lower diversity of plants compared to low-altitude populations, consistent with plant availability constraining dietary choices. The observed pattern of covariation between diet and gut microbiome is probably a result of long-term social and environmental factors. Our study suggests that the gut microbiome is sufficiently plastic to support flexible food selection and hence contribute to local adaptation.
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Affiliation(s)
- Alice Michel
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
- Department of Anthropology, University of California, Davis, California, USA
| | - Riana Minocher
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
- Department of Human Behavior, Ecology and Culture, Max-Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Peter-Philip Niehoff
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Yuhong Li
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
- Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Kevin Nota
- Plant Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Maya A Gadhvi
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jiancheng Su
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Neetha Iyer
- Department of Anthropology, University of California, Davis, California, USA
| | - Amy Porter
- Department of Anthropology, University of California, Davis, California, USA
| | | | - Escobar Binyinyi
- The Dian Fossey Gorilla Fund International, Kinshasa, Democratic Republic of the Congo
| | - Radar Nishuli Pekeyake
- Institut Congolais pour la Conservation de la Nature, Kinshasa, Democratic Republic of the Congo
| | - Laura Parducci
- Department of Human Behavior, Ecology and Culture, Max-Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
| | - Damien Caillaud
- Department of Anthropology, University of California, Davis, California, USA
| | - Katerina Guschanski
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
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29
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Stothart MR, Spina HA, Hotchkiss MZ, Ko W, Newman AEM. Seasonal dynamics in the mammalian microbiome between disparate environments. Ecol Evol 2023; 13:e10692. [PMID: 38111921 PMCID: PMC10726273 DOI: 10.1002/ece3.10692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 12/20/2023] Open
Abstract
Host-associated bacterial microbiomes can facilitate host acclimation to seasonal environmental change and are hypothesized to help hosts cope with recent anthropogenic environmental perturbations (e.g., landscape modification). However, it is unclear how recurrent and recent forms of environmental change interact to shape variation in the microbiome. The majority of wildlife microbiome research occurs within a single seasonal context. Meanwhile, the few studies of seasonal variation in the microbiome often restrict focus to a single environmental context. By sampling urban and exurban eastern grey squirrel populations in the spring, summer, autumn, and winter, we explored whether seasonal rhythms in the grey squirrel gut microbiome differed across environments using a 16S amplicon sequencing approach. Differences in the microbiome between urban and exurban squirrels persisted across most of the year, which we hypothesize is linked to anthropogenic food consumption, but we also observed similarities in the urban and exurban grey squirrel microbiome during the autumn, which we attribute to engrained seed caching instincts in preparation for the winter. Host behaviour and diet selection may therefore be capable of maintaining similarities in microbiome structure between disparate environments. However, the depletion of an obligate host mucin glycan specialist (Akkermansia) during the winter in both urban and exurban squirrels was among the strongest differential abundance patterns we observed. In summary, urban grey squirrels showed different seasonal patterns in their microbiome than squirrels from exurban forests; however, in some instances, host behaviour and physiological responses might be capable of maintaining similar microbiome responses across seasons.
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Affiliation(s)
- Mason R. Stothart
- Department of Integrative BiologyUniversity of GuelphGuelphOntarioCanada
- Faculty of Veterinary MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Hayley A. Spina
- Department of Integrative BiologyUniversity of GuelphGuelphOntarioCanada
| | | | - Winnie Ko
- Department of Integrative BiologyUniversity of GuelphGuelphOntarioCanada
| | - Amy E. M. Newman
- Department of Integrative BiologyUniversity of GuelphGuelphOntarioCanada
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30
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Lee W, Hayakawa T, Kiyono M, Yamabata N, Enari H, Enari HS, Fujita S, Kawazoe T, Asai T, Oi T, Kondo T, Uno T, Seki K, Shimada M, Tsuji Y, Langgeng A, MacIntosh A, Suzuki K, Yamada K, Onishi K, Ueno M, Kubo K, Hanya G. Diet-related factors strongly shaped the gut microbiota of Japanese macaques. Am J Primatol 2023; 85:e23555. [PMID: 37766673 DOI: 10.1002/ajp.23555] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 08/08/2023] [Accepted: 09/17/2023] [Indexed: 09/29/2023]
Abstract
Although knowledge of the functions of the gut microbiome has increased greatly over the past few decades, our understanding of the mechanisms governing its ecology and evolution remains obscure. While host genetic distance is a strong predictor of the gut microbiome in large-scale studies and captive settings, its influence has not always been evident at finer taxonomic scales, especially when considering among the recently diverged animals in natural settings. Comparing the gut microbiome of 19 populations of Japanese macaques Macaca fuscata across the Japanese archipelago, we assessed the relative roles of host genetic distance, geographic distance and dietary factors in influencing the macaque gut microbiome. Our results suggested that the macaques may maintain a core gut microbiome, while each population may have acquired some microbes from its specific habitat/diet. Diet-related factors such as season, forest, and reliance on anthropogenic foods played a stronger role in shaping the macaque gut microbiome. Among closely related mammalian hosts, host genetics may have limited effects on the gut microbiome since the hosts generally have smaller physiological differences. This study contributes to our understanding of the relative roles of host phylogeography and dietary factors in shaping the gut microbiome of closely related mammalian hosts.
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Affiliation(s)
- Wanyi Lee
- Center for Ecological Research, Kyoto University, Inuyama, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
- Primate Research Institute, Kyoto University, Inuyama, Japan
| | - Takashi Hayakawa
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Mieko Kiyono
- Graduate School of Human Development and Environment, Kobe University, Kobe, Hyogo, Japan
| | - Naoto Yamabata
- Institute of Natural and Environmental Sciences, University of Hyogo, Sanda, Hyogo, Japan
| | - Hiroto Enari
- Faculty of Agriculture, Yamagata University, Wakabamachi, Tsuruoka, Yamagata, Japan
| | - Haruka S Enari
- Faculty of Agriculture, Yamagata University, Wakabamachi, Tsuruoka, Yamagata, Japan
| | - Shiho Fujita
- Department of Behavioral Physiology and Ecology, Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima, Japan
| | - Tatsuro Kawazoe
- Research Institute for Languages and Cultures of Asia and Africa, Tokyo University of Foreign Studies, Tokyo, Japan
| | - Takayuki Asai
- South Kyushu Wildlife Management Center, Kagoshima, Japan
| | - Toru Oi
- Faculty of Bioresources and Environmental Science, Ishikawa Prefectural University, Nonoichi, Ishikawa, Japan
| | | | - Takeharu Uno
- Tohoku Monkey and Mammal Management Center, Sendai, Miyagi, Japan
| | - Kentaro Seki
- Tohoku Monkey and Mammal Management Center, Sendai, Miyagi, Japan
| | - Masaki Shimada
- Department of Animal Sciences, Teikyo University of Science, Uenohara, Yamanashi, Japan
| | - Yamato Tsuji
- Department of Science and Engineering, Ishinomaki Senshu University, Ishinomaki, Miyagi, Japan
| | - Abdullah Langgeng
- Primate Research Institute, Kyoto University, Inuyama, Japan
- Wildlife Research Center, Kyoto University, Kanrin, Inuyama, Japan
| | - Andrew MacIntosh
- Primate Research Institute, Kyoto University, Inuyama, Japan
- Wildlife Research Center, Kyoto University, Kanrin, Inuyama, Japan
| | | | - Kazunori Yamada
- Graduate School of Human Sciences, Osaka University, Suita, Osaka, Japan
| | - Kenji Onishi
- Department of Early Childhood Education, Nara University of Education, Nara, Japan
| | - Masataka Ueno
- Faculty of Applied Sociology, Kindai University, Higashiosaka, Osaka, Japan
| | - Kentaro Kubo
- Cultural Asset Management Division, Board of Education, Oita-City, Japan
| | - Goro Hanya
- Center for Ecological Research, Kyoto University, Inuyama, Japan
- Primate Research Institute, Kyoto University, Inuyama, Japan
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31
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Viney M, Cheynel L. Gut immune responses and evolution of the gut microbiome-a hypothesis. DISCOVERY IMMUNOLOGY 2023; 2:kyad025. [PMID: 38567055 PMCID: PMC10917216 DOI: 10.1093/discim/kyad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/03/2023] [Accepted: 11/22/2023] [Indexed: 04/04/2024]
Abstract
The gut microbiome is an assemblage of microbes that have profound effects on their hosts. The composition of the microbiome is affected by bottom-up, among-taxa interactions and by top-down, host effects, which includes the host immune response. While the high-level composition of the microbiome is generally stable over time, component strains and genotypes will constantly be evolving, with both bottom-up and top-down effects acting as selection pressures, driving microbial evolution. Secretory IgA is a major feature of the gut's adaptive immune response, and a substantial proportion of gut bacteria are coated with IgA, though the effect of this on bacteria is unclear. Here we hypothesize that IgA binding to gut bacteria is a selection pressure that will drive the evolution of IgA-bound bacteria, so that they will have a different evolutionary trajectory than those bacteria not bound by IgA. We know very little about the microbiome of wild animals and even less about their gut immune responses, but it must be a priority to investigate this hypothesis to understand if and how host immune responses contribute to microbiome evolution.
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Affiliation(s)
- Mark Viney
- Department of Evolution, Ecology & Behaviour, University of Liverpool, Liverpool, UK
| | - Louise Cheynel
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, Villeurbanne, France
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32
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Fan L, Xia Y, Wang Y, Han D, Liu Y, Li J, Fu J, Wang L, Gan Z, Liu B, Fu J, Zhu C, Wu Z, Zhao J, Han H, Wu H, He Y, Tang Y, Zhang Q, Wang Y, Zhang F, Zong X, Yin J, Zhou X, Yang X, Wang J, Yin Y, Ren W. Gut microbiota bridges dietary nutrients and host immunity. SCIENCE CHINA. LIFE SCIENCES 2023; 66:2466-2514. [PMID: 37286860 PMCID: PMC10247344 DOI: 10.1007/s11427-023-2346-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 04/05/2023] [Indexed: 06/09/2023]
Abstract
Dietary nutrients and the gut microbiota are increasingly recognized to cross-regulate and entrain each other, and thus affect host health and immune-mediated diseases. Here, we systematically review the current understanding linking dietary nutrients to gut microbiota-host immune interactions, emphasizing how this axis might influence host immunity in health and diseases. Of relevance, we highlight that the implications of gut microbiota-targeted dietary intervention could be harnessed in orchestrating a spectrum of immune-associated diseases.
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Affiliation(s)
- Lijuan Fan
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yaoyao Xia
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Youxia Wang
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Dandan Han
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yanli Liu
- College of Animal Science and Technology, Northwest A&F University, Xi'an, 712100, China
| | - Jiahuan Li
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jie Fu
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Leli Wang
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China
| | - Zhending Gan
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Bingnan Liu
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Jian Fu
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Congrui Zhu
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Zhenhua Wu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jinbiao Zhao
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Hui Han
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hao Wu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yiwen He
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, College of Life Sciences, Hunan Normal University, Changsha, 410081, China
| | - Yulong Tang
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China
| | - Qingzhuo Zhang
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yibin Wang
- College of Animal Science and Technology, Northwest A&F University, Xi'an, 712100, China
| | - Fan Zhang
- College of Animal Science and Technology, Northwest A&F University, Xi'an, 712100, China
| | - Xin Zong
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China.
| | - Jie Yin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, China.
| | - Xihong Zhou
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China.
| | - Xiaojun Yang
- College of Animal Science and Technology, Northwest A&F University, Xi'an, 712100, China.
| | - Junjun Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
| | - Yulong Yin
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China.
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, China.
| | - Wenkai Ren
- Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
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Klure DM, Dearing MD. Seasonal restructuring facilitates compositional convergence of gut microbiota in free-ranging rodents. FEMS Microbiol Ecol 2023; 99:fiad127. [PMID: 37838471 PMCID: PMC10622585 DOI: 10.1093/femsec/fiad127] [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: 01/11/2023] [Revised: 08/22/2023] [Accepted: 10/11/2023] [Indexed: 10/16/2023] Open
Abstract
Gut microbes provide essential services to their host and shifts in their composition can impact host fitness. However, despite advances in our understanding of how microbes are assembled in the gut, we understand little about the stability of these communities within individuals, nor what factors influence its composition over the life of an animal. For this reason, we conducted a longitudinal survey of the gut microbial communities of individual free-ranging woodrats (Neotoma spp.) across a hybrid zone in the Mojave Desert, USA, using amplicon sequencing approaches to characterize gut microbial profiles and diet. We found that gut microbial communities were individualized and experienced compositional restructuring as a result of seasonal transitions and changes in diet. Turnover of gut microbiota was highest amongst bacterial subspecies and was much lower at the rank of Family, suggesting there may be selection for conservation of core microbial functions in the woodrat gut. Lastly, we identified an abundant core gut bacterial community that may aid woodrats in metabolizing a diet of plants and their specialized metabolites. These results demonstrate that the gut microbial communities of woodrats are highly dynamic and experience seasonal restructuring which may facilitate adaptive plasticity in response to changes in diet.
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Affiliation(s)
- Dylan M Klure
- School of Biological Sciences, University of Utah, 257 S 1400 E rm 201, Salt Lake City, UT, 84112, United States
| | - M Denise Dearing
- School of Biological Sciences, University of Utah, 257 S 1400 E rm 201, Salt Lake City, UT, 84112, United States
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34
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Dzierozynski L, Queen J, Sears CL. Subtle, persistent shaping of the gut microbiome by host genes: A critical determinant of host biology. Cell Host Microbe 2023; 31:1569-1573. [PMID: 37827115 PMCID: PMC11272393 DOI: 10.1016/j.chom.2023.09.007] [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: 08/17/2023] [Revised: 09/10/2023] [Accepted: 09/12/2023] [Indexed: 10/14/2023]
Abstract
Although environmental impacts on the host microbiome have been well studied, it is less certain whether and how host genetics impact the microbiome. This commentary discusses current literature supporting host genetic influences on resident species and pathogenic microbes. Mechanistic experimental studies are warranted to understand host gene-microbiome interplay.
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Affiliation(s)
- Lindsey Dzierozynski
- Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessica Queen
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Cynthia L Sears
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Bloomberg∼Kimmel Institute for Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Baltimore, MD, USA.
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35
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Feng J, Wu Y, Dai P, Wang D, Liu L, Chai B. Gut microbial signatures of patients with primary hepatocellular carcinoma and their healthy first-degree relatives. J Appl Microbiol 2023; 134:lxad221. [PMID: 37777841 DOI: 10.1093/jambio/lxad221] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/27/2023] [Accepted: 09/29/2023] [Indexed: 10/02/2023]
Abstract
AIMS The gut microbiome has been recognized as a significant contributor to primary hepatocellular carcinoma (HCC), with mounting evidence indicating associations between bacterial components and cancers of the digestive system. METHODS AND RESULTS Here, to characterize gut bacterial signature in patients with primary HCC and to assess the diagnostic potential of bacterial taxa for primary HCC, 21 HCC patients and 21 healthy first-degree relatives (control group) were enrolled in this study. Bacterial DNA in the fecal samples was quantified by 16S rRNA gene sequencing. We found that 743 operational taxonomic units (OTUs) were shared between patients with primary HCC and healthy controls. Of these, 197 OTUs were unique to patients with primary HCC, while 95 OTUs were unique to healthy subjects. Additionally, we observed significant differences in the abundance of Ruminococcaceae_UCG-014 and Romboutsia between patients with primary HCC and their healthy first-degree relatives. Besides, the relative abundance of Ruminococcaceae_UCG-014 and Prevotella_9 was positively correlated with physiological indicators including AST, ALT, ALB, or TBIL. Signature bacterial taxa could serve as non-invasive biomarkers, of which Romboutsia and Veillonella were identified as differential taxa in fecal samples from patients with HCC compared to healthy controls. Romboutsia showed a strong association with HCC (AUC = 0.802). Additionally, the combination of Romboutsia and Veillonella (AUC = 0.812) or the grouping of Fusobacterium, Faccalibacterium, and Peptostreptococcacae together (AUC = 0.762) exhibited promising outcomes for the diagnosis of HCC. CONCLUSIONS The composition of gut microbes in patients with HCC was found to be significantly altered. Differential taxa Romboutsia, Veillonella, and Peptostreptococcacae could be tested for identification of HCC.
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Affiliation(s)
- Jing Feng
- Department of Gastroenterology, The First Hospital of Shanxi Medical University, Taiyuan 030001, China
- Department of Gastroenterology, Shanxi Provincial People's Hospital, The Fifth Hospital of Shanxi Medical University, Taiyuan 030012, China
| | - Yalin Wu
- Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Peng Dai
- Department of Hepat-Bliary-Pancreatic Surgery, Shanxi Provincial People's Hospital, The Fifth Hospital of Shanxi Medical University, Taiyuan 030012, China
| | - Dong Wang
- Department of Hepatology, The Third People's Hospital of Taiyuan, Taiyuan 030000, China
| | - Lixin Liu
- Department of Gastroenterology, The First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Baofeng Chai
- Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China
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36
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Zhang XY, Khakisahneh S, Liu W, Zhang X, Zhai W, Cheng J, Speakman JR, Wang DH. Phylogenetic signal in gut microbial community rather than in rodent metabolic traits. Natl Sci Rev 2023; 10:nwad209. [PMID: 37928774 PMCID: PMC10625476 DOI: 10.1093/nsr/nwad209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 07/10/2023] [Accepted: 07/19/2023] [Indexed: 11/07/2023] Open
Abstract
Host phylogeny and environment have all been implicated in shaping the gut microbiota and host metabolic traits of mammals. However, few studies have evaluated phylogeny-associated microbial assembly and host metabolic plasticity concurrently, and their relationships on both short-term and evolutionary timescales. We report that the branching order of a gut microbial dendrogram was nearly congruent with phylogenetic relationships of seven rodent species, and this pattern of phylosymbiosis was intact after diverse laboratory manipulations. Laboratory rearing, diet or air temperature (Ta) acclimation induced alterations in gut microbial communities, but could not override host phylogeny in shaping microbial community assembly. A simulative heatwave reduced core microbiota diversity by 26% in these species, and led to an unmatched relationship between the microbiota and host metabolic phenotypes in desert species. Moreover, the similarity of metabolic traits across species at different Tas was not correlated with phylogenetic distance. These data demonstrated that the gut microbial assembly showed strong concordance with host phylogeny and may be shaped by environmental variables, whereas host metabolic traits did not seem to be linked with phylogeny.
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Affiliation(s)
- Xue-Ying Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Saeid Khakisahneh
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Wei Liu
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xinyi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- CAS Center for Excellence in Animal Evolution and Genetics, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Weiwei Zhai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- CAS Center for Excellence in Animal Evolution and Genetics, University of Chinese Academy of Sciences, Kunming 650223, China
| | - Jilong Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - John R Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB39 2PN, UK
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - De-Hua Wang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- School of Life Sciences, Shandong University, Qingdao 266237, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing 100049, China
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37
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Murphy KM, Le SM, Wilson AE, Warner DA. The Microbiome as a Maternal Effect: A Systematic Review on Vertical Transmission of Microbiota. Integr Comp Biol 2023; 63:597-609. [PMID: 37218690 DOI: 10.1093/icb/icad031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/24/2023] [Accepted: 05/02/2023] [Indexed: 05/24/2023] Open
Abstract
The microbiome is an interactive and fluctuating community of microbes that colonize and develop across surfaces, including those associated with organismal hosts. A growing number of studies exploring how microbiomes vary in ecologically relevant contexts have recognized the importance of microbiomes in affecting organismal evolution. Thus, identifying the source and mechanism for microbial colonization in a host will provide insight into adaptation and other evolutionary processes. Vertical transmission of microbiota is hypothesized to be a source of variation in offspring phenotypes with important ecological and evolutionary implications. However, the life-history traits that govern vertical transmission are largely unexplored in the ecological literature. To increase research attention to this knowledge gap, we conducted a systematic review to address the following questions: (1) How often is vertical transmission assessed as a contributor to offspring microbiome colonization and development? (2) Do studies have the capacity to address how maternal transmission of microbes affects the offspring phenotype? (3) How do studies vary based on taxonomy and life history of the study organism, as well as the experimental, molecular, and statistical methods employed? Extensive literature searches reveal that many studies examining vertical transmission of microbiomes fail to collect whole microbiome samples from both maternal and offspring sources, particularly for oviparous vertebrates. Additionally, studies should sample functional diversity of microbes to provide a better understanding of mechanisms that influence host phenotypes rather than solely taxonomic variation. An ideal microbiome study incorporates host factors, microbe-microbe interactions, and environmental factors. As evolutionary biologists continue to merge microbiome science and ecology, examining vertical transmission of microbes across taxa can provide inferences on causal links between microbiome variation and phenotypic evolution.
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Affiliation(s)
- Kaitlyn M Murphy
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
| | - Samantha M Le
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
| | - Alan E Wilson
- School of Fisheries, Aquaculture, and Aquatic Sciences, Auburn University, Auburn, AL 36849, USA
| | - Daniel A Warner
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
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38
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Sireci M, Muñoz MA, Grilli J. Environmental fluctuations explain the universal decay of species-abundance correlations with phylogenetic distance. Proc Natl Acad Sci U S A 2023; 120:e2217144120. [PMID: 37669363 PMCID: PMC10500273 DOI: 10.1073/pnas.2217144120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 07/19/2023] [Indexed: 09/07/2023] Open
Abstract
Multiple ecological forces act together to shape the composition of microbial communities. Phyloecology approaches-which combine phylogenetic relationships between species with community ecology-have the potential to disentangle such forces but are often hard to connect with quantitative predictions from theoretical models. On the other hand, macroecology, which focuses on statistical patterns of abundance and diversity, provides natural connections with theoretical models but often neglects interspecific correlations and interactions. Here, we propose a unified framework combining both such approaches to analyze microbial communities. In particular, by using both cross-sectional and longitudinal metagenomic data for species abundances, we reveal the existence of an empirical macroecological law establishing that correlations in species-abundance fluctuations across communities decay from positive to null values as a function of phylogenetic dissimilarity in a consistent manner across ecologically distinct microbiomes. We formulate three variants of a mechanistic model-each relying on alternative ecological forces-that lead to radically different predictions. From these analyses, we conclude that the empirically observed macroecological pattern can be quantitatively explained as a result of shared population-independent fluctuating resources, i.e., environmental filtering and not as a consequence of, e.g., species competition. Finally, we show that the macroecological law is also valid for temporal data of a single community and that the properties of delayed temporal correlations can be reproduced as well by the model with environmental filtering.
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Affiliation(s)
- Matteo Sireci
- Departamento de Electromagnetismo y Física de la Materia e Instituto Carlos I de Física Teórica y Computacional, Universidad de Granada, GranadaE-18071, Spain
| | - Miguel A. Muñoz
- Departamento de Electromagnetismo y Física de la Materia e Instituto Carlos I de Física Teórica y Computacional, Universidad de Granada, GranadaE-18071, Spain
| | - Jacopo Grilli
- Quantitative Life Sciences section, The Abdus Salam International Centre for Theoretical Physics, Trieste34151, Italy
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39
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Luo S, Chen Z, Deng L, Chen Y, Zhou W, Canavese F, Li L. Causal Link between Gut Microbiota, Neurophysiological States, and Bone Diseases: A Comprehensive Mendelian Randomization Study. Nutrients 2023; 15:3934. [PMID: 37764718 PMCID: PMC10534888 DOI: 10.3390/nu15183934] [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: 08/17/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Increasing evidence highlights a robust correlation between the gut microbiota and bone diseases; however, the existence of a causal relationship between them remains unclear. In this study, we thoroughly examined the correlation between gut microbiota and skeletal diseases using genome-wide association studies. Linkage disequilibrium score regression and Mendelian randomization were used to probe genetic causality. Furthermore, the potential mediating role of neuropsychological states (i.e., cognition, depression, and insomnia) between the gut microbiota and bone diseases was evaluated using mediation analysis, with genetic colocalization analysis revealing potential targets. These findings suggest a direct causal relationship between Ruminococcaceae and knee osteoarthritis (OA), which appears to be mediated by cognitive performance and insomnia. Similarly, a causal association was observed between Burkholderiales and lumbar pelvic fractures, mediated by cognitive performance. Colocalization analysis identified a shared causal variant (rs2352974) at the TRAF-interacting protein locus for cognitive ability and knee OA. This study provides compelling evidence that alterations in the gut microbiota can enhance cognitive ability, ameliorate insomnia, and potentially reduce the risk of site-specific fractures and OA. Therefore, strategies targeting gut microbiota optimization could serve as novel and effective preventive measures against fractures and OA.
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Affiliation(s)
- Shaoting Luo
- Department of Pediatric Orthopedics, Shengjing Hospital of China Medical University, Shenyang 110004, China; (S.L.); (Y.C.); (W.Z.)
| | - Zhiyang Chen
- Department of Otolaryngology Head and Neck Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China;
| | - Linfang Deng
- Department of Nursing, Jinzhou Medical University, Jinzhou 121001, China
| | - Yufan Chen
- Department of Pediatric Orthopedics, Shengjing Hospital of China Medical University, Shenyang 110004, China; (S.L.); (Y.C.); (W.Z.)
| | - Weizheng Zhou
- Department of Pediatric Orthopedics, Shengjing Hospital of China Medical University, Shenyang 110004, China; (S.L.); (Y.C.); (W.Z.)
| | - Federico Canavese
- Department of Pediatric Orthopedic Surgery, Lille University Centre, Jeanne de Flandre Hospital, 59000 Lille, France;
| | - Lianyong Li
- Department of Pediatric Orthopedics, Shengjing Hospital of China Medical University, Shenyang 110004, China; (S.L.); (Y.C.); (W.Z.)
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40
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He Z, Liu R, Wang M, Wang Q, Zheng J, Ding J, Wen J, Fahey AG, Zhao G. Combined effect of microbially derived cecal SCFA and host genetics on feed efficiency in broiler chickens. MICROBIOME 2023; 11:198. [PMID: 37653442 PMCID: PMC10472625 DOI: 10.1186/s40168-023-01627-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 07/18/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Improving feed efficiency is the most important goal for modern animal production. The regulatory mechanisms of controlling feed efficiency traits are extremely complex and include the functions related to host genetics and gut microbiota. Short-chain fatty acids (SCFAs), as significant metabolites of microbiota, could be used to refine the combined effect of host genetics and gut microbiota. However, the association of SCFAs with the gut microbiota and host genetics for regulating feed efficiency is far from understood. RESULTS In this study, 464 broilers were housed for RFI measuring and examining the host genome sequence. And 300 broilers were examined for cecal microbial data and SCFA concentration. Genome-wide association studies (GWAS) showed that four out of seven SCFAs had significant associations with genome variants. One locus (chr4: 29414391-29417189), located near or inside the genes MAML3, SETD7, and MGST2, was significantly associated with propionate and had a modest effect on feed efficiency traits and the microbiota. The genetic effect of the top SNP explained 8.43% variance of propionate. Individuals with genotype AA had significantly different propionate concentrations (0.074 vs. 0.131 μg/mg), feed efficiency (FCR: 1.658 vs. 1.685), and relative abundance of 14 taxa compared to those with the GG genotype. Christensenellaceae and Christensenellaceae_R-7_group were associated with feed efficiency, propionate concentration, the top SNP genotypes, and lipid metabolism. Individuals with a higher cecal abundance of these taxa showed better feed efficiency and lower concentrations of caecal SCFAs. CONCLUSION Our study provides strong evidence of the pathway that host genome variants affect the cecal SCFA by influencing caecal microbiota and then regulating feed efficiency. The cecal taxa Christensenellaceae and Christensenellaceae_R-7_group were identified as representative taxa contributing to the combined effect of host genetics and SCFAs on chicken feed efficiency. These findings provided strong evidence of the combined effect of host genetics and gut microbial SCFAs in regulating feed efficiency traits. Video Abstract.
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Affiliation(s)
- Zhengxiao He
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Ranran Liu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Mengjie Wang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Qiao Wang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Jumei Zheng
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Jiqiang Ding
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Jie Wen
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Alan G. Fahey
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Guiping Zhao
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
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Lea AJ, Clark AG, Dahl AW, Devinsky O, Garcia AR, Golden CD, Kamau J, Kraft TS, Lim YAL, Martins DJ, Mogoi D, Pajukanta P, Perry GH, Pontzer H, Trumble BC, Urlacher SS, Venkataraman VV, Wallace IJ, Gurven M, Lieberman DE, Ayroles JF. Applying an evolutionary mismatch framework to understand disease susceptibility. PLoS Biol 2023; 21:e3002311. [PMID: 37695771 PMCID: PMC10513379 DOI: 10.1371/journal.pbio.3002311] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 09/21/2023] [Indexed: 09/13/2023] Open
Abstract
Noncommunicable diseases (NCDs) are on the rise worldwide. Obesity, cardiovascular disease, and type 2 diabetes are among a long list of "lifestyle" diseases that were rare throughout human history but are now common. The evolutionary mismatch hypothesis posits that humans evolved in environments that radically differ from those we currently experience; consequently, traits that were once advantageous may now be "mismatched" and disease causing. At the genetic level, this hypothesis predicts that loci with a history of selection will exhibit "genotype by environment" (GxE) interactions, with different health effects in "ancestral" versus "modern" environments. To identify such loci, we advocate for combining genomic tools in partnership with subsistence-level groups experiencing rapid lifestyle change. In these populations, comparisons of individuals falling on opposite extremes of the "matched" to "mismatched" spectrum are uniquely possible. More broadly, the work we propose will inform our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and cultures.
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Affiliation(s)
- Amanda J. Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Andrew G. Clark
- Department of Molecular Biology & Genetics, Cornell University, Ithaca, New York, United States of America
| | - Andrew W. Dahl
- Department of Medicine, University of Chicago, Chicago, Illinois, United States of America
| | - Orrin Devinsky
- Department of Neurology, NYU Langone Comprehensive Epilepsy Center, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Angela R. Garcia
- Department of Anthropology, Stanford University, Stanford, California, United States of America
| | - Christopher D. Golden
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Joseph Kamau
- One Health Centre, Institute of Primate Research, Karen, Nairobi, Kenya
| | - Thomas S. Kraft
- Department of Anthropology, University of Utah, Salt Lake City, Utah, United States of America
| | - Yvonne A. L. Lim
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Dino J. Martins
- Turkana Basin Institute, Stony Brook University, Stony Brook, New York, United States of America
| | - Donald Mogoi
- Department of Medical Services and Public Health, Ministry of Health Laikipia County, Nanyuki, Kenya
| | - Päivi Pajukanta
- Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, United States of America
| | - George H. Perry
- Departments of Anthropology and Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Herman Pontzer
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Benjamin C. Trumble
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, United States of America
| | - Samuel S. Urlacher
- Department of Anthropology, Baylor University, Waco, Texas, United States of America
| | - Vivek V. Venkataraman
- Department of Anthropology and Archaeology, University of Calgary, Calgary, Alberta, Canada
| | - Ian J. Wallace
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, California, United States of America
| | - Daniel E. Lieberman
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Julien F. Ayroles
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
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Wang W, Zhang Y, Zhang X, Li C, Yuan L, Zhang D, Zhao Y, Li X, Cheng J, Lin C, Zhao L, Wang J, Xu D, Yue X, Li W, Wen X, Jiang Z, Ding X, Salekdeh GH, Li F. Heritability and recursive influence of host genetics on the rumen microbiota drive body weight variance in male Hu sheep lambs. MICROBIOME 2023; 11:197. [PMID: 37644504 PMCID: PMC10463499 DOI: 10.1186/s40168-023-01642-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 08/07/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Heritable rumen microbiota is an important modulator of ruminant growth performance. However, no information exists to date on host genetics-rumen microbiota interactions and their association with phenotype in sheep. To solve this, we curated and analyzed whole-genome resequencing genotypes, 16S rumen-microbiota data, and longitudinal body weight (BW) phenotypes from 1150 sheep. RESULTS A variance component model indicated significant heritability of rumen microbial community diversity. Genome-wide association studies (GWAS) using microbial features as traits identified 411 loci-taxon significant associations (P < 10-8). We found a heritability of 39% for 180-day-old BW, while also the rumen microbiota likely played a significant role, explaining that 20% of the phenotypic variation. Microbiota-wide association studies (MWAS) and GWAS identified four marker genera (Bonferroni corrected P < 0.05) and five novel genetic variants (P < 10-8) that were significantly associated with BW. Integrative analysis identified the mediating role of marker genera in genotype influencing phenotype and unravelled that the same genetic markers have direct and indirect effects on sheep weight. CONCLUSIONS This study reveals a reciprocal interplay among host genetic variations, the rumen microbiota and the body weight traits of sheep. The information obtained provide insights into the diverse microbiota characteristics of rumen and may help in designing precision microbiota management strategies for controlling and manipulating sheep rumen microbiota to increase productivity. Video Abstract.
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Affiliation(s)
- Weimin Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
| | - Yukun Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Chong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Lvfeng Yuan
- Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou, 730046, China
| | - Deyin Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Yuan Zhao
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiaolong Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Jiangbo Cheng
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Changchun Lin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Liming Zhao
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Jianghui Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - Dan Xu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiangpeng Yue
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Wanhong Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xiuxiu Wen
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Zhihua Jiang
- Department of Animal Sciences and Center for Reproductive Biology, Washington State University (WSU), Pullman, WA, 99164, USA
| | - Xuezhi Ding
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou, 730050, China
| | | | - Fadi Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
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Pathare NN, Fayet-Moore F, Fogarty JA, Jacka FN, Strandwitz P, Strangman GE, Donoviel DB. Nourishing the brain on deep space missions: nutritional psychiatry in promoting resilience. Front Neural Circuits 2023; 17:1170395. [PMID: 37663891 PMCID: PMC10469890 DOI: 10.3389/fncir.2023.1170395] [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: 02/20/2023] [Accepted: 07/31/2023] [Indexed: 09/05/2023] Open
Abstract
The grueling psychological demands of a journey into deep space coupled with ever-increasing distances away from home pose a unique problem: how can we best take advantage of the benefits of fresh foods in a place that has none? Here, we consider the biggest challenges associated with our current spaceflight food system, highlight the importance of supporting optimal brain health on missions into deep space, and discuss evidence about food components that impact brain health. We propose a future food system that leverages the gut microbiota that can be individually tailored to best support the brain and mental health of crews on deep space long-duration missions. Working toward this goal, we will also be making investments in sustainable means to nourish the crew that remains here on spaceship Earth.
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Affiliation(s)
- Nihar N. Pathare
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, United States
| | | | - Jennifer A. Fogarty
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, United States
- Department of Medicine, Baylor College of Medicine, Houston, TX, United States
- Translational Research Institute for Space Health (TRISH), Houston, TX, United States
| | - Felice N. Jacka
- Food and Mood Centre, Institute for Mental and Physical Health and Clinical Translation (IMPACT) Strategic Research Centre, Deakin University, Geelong, VIC, Australia
- Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia
| | | | - Gary E. Strangman
- Neural Systems Group, Division of Health Sciences and Technology, Massachusetts General Hospital, Harvard Medical School and Harvard-MIT, Charlestown, MA, United States
- Department of Psychology, Harvard University, Cambridge, MA, United States
| | - Dorit B. Donoviel
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, United States
- Translational Research Institute for Space Health (TRISH), Houston, TX, United States
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX, United States
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44
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Casto-Rebollo C, Argente MJ, García ML, Pena RN, Blasco A, Ibáñez-Escriche N. Selection for environmental variance shifted the gut microbiome composition driving animal resilience. MICROBIOME 2023; 11:147. [PMID: 37400907 DOI: 10.1186/s40168-023-01580-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/23/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Understanding how the host's microbiome shapes phenotypes and participates in the host response to selection is fundamental for evolutionists and animal and plant breeders. Currently, selection for resilience is considered a critical step in improving the sustainability of livestock systems. Environmental variance (V E), the within-individual variance of a trait, has been successfully used as a proxy for animal resilience. Selection for reduced V E could effectively shift gut microbiome composition; reshape the inflammatory response, triglyceride, and cholesterol levels; and drive animal resilience. This study aimed to determine the gut microbiome composition underlying the V E of litter size (LS), for which we performed a metagenomic analysis in two rabbit populations divergently selected for low (n = 36) and high (n = 34) V E of LS. Partial least square-discriminant analysis and alpha- and beta-diversity were computed to determine the differences in gut microbiome composition among the rabbit populations. RESULTS We identified 116 KEGG IDs, 164 COG IDs, and 32 species with differences in abundance between the two rabbit populations studied. These variables achieved a classification performance of the V E rabbit populations of over than 80%. Compared to the high V E population, the low V E (resilient) population was characterized by an underrepresentation of Megasphaera sp., Acetatifactor muris, Bacteroidetes rodentium, Ruminococcus bromii, Bacteroidetes togonis, and Eggerthella sp. and greater abundances of Alistipes shahii, Alistipes putredinis, Odoribacter splanchnicus, Limosilactobacillus fermentum, and Sutterella, among others. Differences in abundance were also found in pathways related to biofilm formation, quorum sensing, glutamate, and amino acid aromatic metabolism. All these results suggest differences in gut immunity modulation, closely related to resilience. CONCLUSIONS This is the first study to show that selection for V E of LS can shift the gut microbiome composition. The results revealed differences in microbiome composition related to gut immunity modulation, which could contribute to the differences in resilience among rabbit populations. The selection-driven shifts in gut microbiome composition should make a substantial contribution to the remarkable genetic response observed in the V E rabbit populations. Video Abstract.
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Affiliation(s)
- Cristina Casto-Rebollo
- Institute for Animal Science and Technology, Universitat Politècnica de València, València, Spain
| | - María José Argente
- Centro de Investigación e Innovación Agroalimentaria Y Agroambiental (CIAGRO_UMH), Miguel Hernández University, Orihuela, 03312, Spain
| | - María Luz García
- Centro de Investigación e Innovación Agroalimentaria Y Agroambiental (CIAGRO_UMH), Miguel Hernández University, Orihuela, 03312, Spain
| | - Ramona Natacha Pena
- Departament de Ciència Animal, Universitat de Lleida-AGROTECNIO Center, Lleida, Catalonia, Spain
| | - Agustín Blasco
- Institute for Animal Science and Technology, Universitat Politècnica de València, València, Spain
| | - Noelia Ibáñez-Escriche
- Institute for Animal Science and Technology, Universitat Politècnica de València, València, Spain.
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Henry LP, Bergelson J. Evolutionary implications of host genetic control for engineering beneficial microbiomes. CURRENT OPINION IN SYSTEMS BIOLOGY 2023; 34:None. [PMID: 37287906 PMCID: PMC10242548 DOI: 10.1016/j.coisb.2023.100455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Engineering new functions in the microbiome requires understanding how host genetic control and microbe-microbe interactions shape the microbiome. One key genetic mechanism underlying host control is the immune system. The immune system can promote stability in the composition of the microbiome by reshaping the ecological dynamics of its members, but the degree of stability will depend on the interplay between ecological context, immune system development, and higher-order microbe-microbe interactions. The eco-evolutionary interplay affecting composition and stability should inform the strategies used to engineer new functions in the microbiome. We conclude with recent methodological developments that provide an important path forward for both engineering new functionality in the microbiome and broadly understanding how ecological interactions shape evolutionary processes in complex biological systems.
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Tkaczynski PJ, Mafessoni F, Girard-Buttoz C, Samuni L, Ackermann CY, Fedurek P, Gomes C, Hobaiter C, Löhrich T, Manin V, Preis A, Valé PD, Wessling EG, Wittiger L, Zommers Z, Zuberbuehler K, Vigilant L, Deschner T, Wittig RM, Crockford C. Shared community effects and the non-genetic maternal environment shape cortisol levels in wild chimpanzees. Commun Biol 2023; 6:565. [PMID: 37237178 DOI: 10.1038/s42003-023-04909-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 05/03/2023] [Indexed: 05/28/2023] Open
Abstract
Mechanisms of inheritance remain poorly defined for many fitness-mediating traits, especially in long-lived animals with protracted development. Using 6,123 urinary samples from 170 wild chimpanzees, we examined the contributions of genetics, non-genetic maternal effects, and shared community effects on variation in cortisol levels, an established predictor of survival in long-lived primates. Despite evidence for consistent individual variation in cortisol levels across years, between-group effects were more influential and made an overwhelming contribution to variation in this trait. Focusing on within-group variation, non-genetic maternal effects accounted for 8% of the individual differences in average cortisol levels, significantly more than that attributable to genetic factors, which was indistinguishable from zero. These maternal effects are consistent with a primary role of a shared environment in shaping physiology. For chimpanzees, and perhaps other species with long life histories, community and maternal effects appear more relevant than genetic inheritance in shaping key physiological traits.
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Affiliation(s)
- Patrick J Tkaczynski
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire.
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK.
| | - Fabrizio Mafessoni
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Weizmann Institute of Science, Department of Plant and Environmental Sciences, Rehovot, Israel.
| | - Cédric Girard-Buttoz
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire
- The Ape Social Mind Lab, Institut des Sciences Cognitives, CNRS UMR 5229, Lyon, France
| | - Liran Samuni
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Centre for Social Learning & Cognitive Evolution, School of Psychology & Neuroscience, University of St Andrews, St Andrews, UK
| | - Corinne Y Ackermann
- Universite de Neuchatel, Institut de Biologie, Cognition Compare, Neuchatel, Switzerland
| | - Pawel Fedurek
- Division of Psychology, University of Stirling, Stirling, UK
| | - Cristina Gomes
- Tropical Conservation Institute, Institute of Environment, College of Arts, Science and Education, Florida International University, Miami, FL, USA
| | - Catherine Hobaiter
- Centre for Social Learning & Cognitive Evolution, School of Psychology & Neuroscience, University of St Andrews, St Andrews, UK
| | - Therese Löhrich
- World Wide Fund for Nature, Dzanga Sangha Protected Areas, BP 1053, Bangui, Central African Republic
- Robert Koch Institute, Epidemiology of Highly Pathogenic Microorganisms, Berlin, Germany
| | - Virgile Manin
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire
| | - Anna Preis
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire
| | - Prince D Valé
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire
- Unité de Formation et de Recherche Agroferesterie, Université Jean Lorougnon Guédé, Daloa, Côte d'Ivoire
| | - Erin G Wessling
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | | | - Zinta Zommers
- Perry World House, University of Pennsylvania, Philadelphia, USA
| | - Klaus Zuberbuehler
- Universite de Neuchatel, Institut de Biologie, Cognition Compare, Neuchatel, Switzerland
| | - Linda Vigilant
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Tobias Deschner
- Institute of Cognitive Science, Comparative BioCognition, University of Osnabrück, Osnabrück, Germany
| | - Roman M Wittig
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire
- The Ape Social Mind Lab, Institut des Sciences Cognitives, CNRS UMR 5229, Lyon, France
| | - Catherine Crockford
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire
- The Ape Social Mind Lab, Institut des Sciences Cognitives, CNRS UMR 5229, Lyon, France
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Sanders JG, Sprockett DD, Li Y, Mjungu D, Lonsdorf EV, Ndjango JBN, Georgiev AV, Hart JA, Sanz CM, Morgan DB, Peeters M, Hahn BH, Moeller AH. Widespread extinctions of co-diversified primate gut bacterial symbionts from humans. Nat Microbiol 2023:10.1038/s41564-023-01388-w. [PMID: 37169918 DOI: 10.1038/s41564-023-01388-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 04/19/2023] [Indexed: 05/13/2023]
Abstract
Humans and other primates harbour complex gut bacterial communities that influence health and disease, but the evolutionary histories of these symbioses remain unclear. This is partly due to limited information about the microbiota of ancestral primates. Here, using phylogenetic analyses of metagenome-assembled genomes (MAGs), we show that hundreds of gut bacterial clades diversified in parallel (that is, co-diversified) with primate species over millions of years, but that humans have experienced widespread losses of these ancestral symbionts. Analyses of 9,460 human and non-human primate MAGs, including newly generated MAGs from chimpanzees and bonobos, revealed significant co-diversification within ten gut bacterial phyla, including Firmicutes, Actinobacteriota and Bacteroidota. Strikingly, ~44% of the co-diversifying clades detected in African apes were absent from available metagenomic data from humans and ~54% were absent from industrialized human populations. In contrast, only ~3% of non-co-diversifying clades detected in African apes were absent from humans. Co-diversifying clades present in both humans and chimpanzees displayed consistent genomic signatures of natural selection between the two host species but differed in functional content from co-diversifying clades lost from humans, consistent with selection against certain functions. This study discovers host-species-specific bacterial symbionts that predate hominid diversification, many of which have undergone accelerated extinctions from human populations.
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Affiliation(s)
- Jon G Sanders
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - Daniel D Sprockett
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - Yingying Li
- Departments of Medicine and Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Deus Mjungu
- Gombe Stream Research Center, Kigoma, Tanzania
| | - Elizabeth V Lonsdorf
- Department of Psychology and Biological Foundations of Behavior Program, Franklin and Marshall College, Lancaster, PA, USA
- Department of Anthropology, Emory University, Atlanta, GA, USA
| | - Jean-Bosco N Ndjango
- Department of Ecology and Management of Plant and Animal Resources, Faculty of Sciences, University of Kisangani, Kisangani, Democratic Republic of the Congo
| | - Alexander V Georgiev
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- School of Natural Sciences, Bangor University, Bangor, UK
| | - John A Hart
- Lukuru Wildlife Research Foundation, Tshuapa-Lomami-Lualaba Project, Kinshasa, Democratic Republic of the Congo
| | - Crickette M Sanz
- Department of Anthropology, Washington University in St Louis, Saint Louis, MO, USA
- Wildlife Conservation Society, Congo Program, Brazzaville, Republic of Congo
| | - David B Morgan
- Lester E. Fisher Center for the Study and Conservation of Apes, Lincoln Park Zoo, Chicago, IL, USA
| | - Martine Peeters
- Recherche Translationnelle Appliquée au VIH et aux Maladies Infectieuses, Institut de Recherche pour le Développement, University of Montpellier, INSERM, Montpellier, France
| | - Beatrice H Hahn
- Departments of Medicine and Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew H Moeller
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
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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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Lan X, Peng X, Du T, Xia Z, Gao Q, Tang Q, Yi S, Yang G. Alterations of the Gut Microbiota and Metabolomics Associated with the Different Growth Performances of Macrobrachium rosenbergii Families. Animals (Basel) 2023; 13:ani13091539. [PMID: 37174576 PMCID: PMC10177557 DOI: 10.3390/ani13091539] [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: 04/04/2023] [Revised: 04/27/2023] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
To investigate the key gut microbiota and metabolites associated with the growth performance of Macrobrachium rosenbergii families, 16S rRNA sequencing and LC-MS metabolomic methods were used. In this study, 90 M. rosenbergii families were bred to evaluate growth performance. After 92 days of culture, high (H), medium (M), and low (L) experimental groups representing three levels of growth performance, respectively, were collected according to the weight gain and specific growth rate of families. The composition of gut microbiota showed that the relative abundance of Firmicutes, Lachnospiraceae, Lactobacillus, and Blautia were much higher in Group H than those in M and L groups. Meanwhile, compared to the M and L groups, Group H had significantly higher levels of spermidine, adenosine, and creatinine, and lower levels of L-citrulline. Correlation analysis showed that the abundances of Lactobacillus and Blautia were positively correlated with the levels of alpha-ketoglutaric acid and L-arginine. The abundance of Blautia was also positively correlated with the levels of adenosine, taurine, and spermidine. Notably, lots of metabolites related to the metabolism and biosynthesis of arginine, taurine, hypotaurine, and fatty acid were upregulated in Group H. This study contributes to figuring out the landscape of the gut microbiota and metabolites associated with prawn growth performance and provides a basis for selective breeding.
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Affiliation(s)
- Xuan Lan
- Zhejiang Provincial Key Laboratory of Aquatic Resources Conservation and Development, Key Laboratory of Aquatic Animal Genetic Breeding and Nutrition, Chinese Academy of Fishery Sciences, College of Life Sciences, Huzhou University, Huzhou 313000, China
| | - Xin Peng
- Zhejiang Provincial Key Laboratory of Aquatic Resources Conservation and Development, Key Laboratory of Aquatic Animal Genetic Breeding and Nutrition, Chinese Academy of Fishery Sciences, College of Life Sciences, Huzhou University, Huzhou 313000, China
| | - Tingting Du
- Zhejiang Provincial Key Laboratory of Aquatic Resources Conservation and Development, Key Laboratory of Aquatic Animal Genetic Breeding and Nutrition, Chinese Academy of Fishery Sciences, College of Life Sciences, Huzhou University, Huzhou 313000, China
| | - Zhenglong Xia
- Jiangsu Shufeng Prawn Breeding Co., Ltd., Gaoyou 225654, China
| | - Quanxin Gao
- Zhejiang Provincial Key Laboratory of Aquatic Resources Conservation and Development, Key Laboratory of Aquatic Animal Genetic Breeding and Nutrition, Chinese Academy of Fishery Sciences, College of Life Sciences, Huzhou University, Huzhou 313000, China
| | - Qiongying Tang
- Zhejiang Provincial Key Laboratory of Aquatic Resources Conservation and Development, Key Laboratory of Aquatic Animal Genetic Breeding and Nutrition, Chinese Academy of Fishery Sciences, College of Life Sciences, Huzhou University, Huzhou 313000, China
| | - Shaokui Yi
- Zhejiang Provincial Key Laboratory of Aquatic Resources Conservation and Development, Key Laboratory of Aquatic Animal Genetic Breeding and Nutrition, Chinese Academy of Fishery Sciences, College of Life Sciences, Huzhou University, Huzhou 313000, China
| | - Guoliang Yang
- Zhejiang Provincial Key Laboratory of Aquatic Resources Conservation and Development, Key Laboratory of Aquatic Animal Genetic Breeding and Nutrition, Chinese Academy of Fishery Sciences, College of Life Sciences, Huzhou University, Huzhou 313000, China
- Jiangsu Shufeng Prawn Breeding Co., Ltd., Gaoyou 225654, China
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50
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Bhattacharjee A, Sarma S, Sen T, Devi MV, Deka B, Singh AK. Genome mining to identify valuable secondary metabolites and their regulation in Actinobacteria from different niches. Arch Microbiol 2023; 205:127. [PMID: 36944761 DOI: 10.1007/s00203-023-03482-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/20/2023] [Accepted: 03/11/2023] [Indexed: 03/23/2023]
Abstract
Actinobacteria are the largest bacteria group with 18 significant lineages, which are ubiquitously distributed in all the possible terrains. They are known to produce more than 10,000 medically relevant compounds. Despite their ability to make critical secondary metabolites and genome sequences' availability, these two have not been linked with certainty. With this intent, our study aims at understanding the biosynthetic capacity in terms of secondary metabolite production in 528 Actinobacteria species from five different habitats, viz., soil, water, plants, animals, and humans. In our analysis of 9,646 clusters of 59 different classes, we have documented 64,000 SMs, of which more than 74% were of unique type, while 19% were partially conserved and 7% were conserved compounds. In the case of conserved compounds, we found the highest distribution in soil, 79.12%. We found alternate sources of antibiotics, such as viomycin, vancomycin, teicoplanin, fosfomycin, ficellomycin and patulin, and antitumour compounds, such as doxorubicin and tacrolimus in the soil. Also our study reported alternate sources for the toxin cyanobactin in water and plant isolates. We further analysed the clusters to determine their regulatory pathways and reported the prominent presence of the two component system of TetR/AcrR family, as well as other partial domains like CitB superfamily and HTH superfamily, and discussed their role in secondary metabolite production. This information will be helpful in exploring Actinobacteria from other environments and in discovering new chemical moieties of clinical significance.
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Affiliation(s)
- Abhilash Bhattacharjee
- Biotechnology Group, Biological Sciences and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 220002, India
- Department of Botany, Dibrugarh Hanumanbax Surajmall Kanoi College, Dibrugarh, 786001, Assam, India
| | - Sangita Sarma
- Biotechnology Group, Biological Sciences and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 220002, India
| | - Tejosmita Sen
- Biotechnology Group, Biological Sciences and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 220002, India
| | - Moirangthem Veigyabati Devi
- Biotechnology Group, Biological Sciences and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 220002, India
| | - Banani Deka
- Biotechnology Group, Biological Sciences and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 220002, India
| | - Anil Kumar Singh
- Biotechnology Group, Biological Sciences and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 220002, India.
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