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Zhao M, Liu H, Liu M, Yue Z, Li C, Liu L, Li F. Metagenomics and metabolomics reveal that gut microbiome adapts to the diet transition in Hyla rabbits. Microbiol Res 2024; 283:127705. [PMID: 38554650 DOI: 10.1016/j.micres.2024.127705] [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: 11/06/2023] [Revised: 03/14/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024]
Abstract
There is still a lack of longitudinal dynamic studies on the taxonomic features, functional reserves, and metabolites of the rabbit gut microbiome. An experiment was conducted to characterize the bacterial community of rabbits. By combining metagenomics and metabolomics, we have comprehensively analyzed the longitudinal dynamics of the rabbit gut microbiota and its effect on host adaptability. Our data reveal an overall increasing trend in microbial community and functional gene diversity and richness during the pre-harvest lifespan of rabbits. The introduction of solid feed is an important driving factor affecting rabbit gut microbiological compositions. Clostridium and Ruminococcus had significantly higher relative abundances in the solid feed stage. Further, the starch and fiber in solid feed promote the secretion of carbohydrate-degrading enzymes, which helps the host adapt to dietary changes. The rabbit gut microbiota can synthesize lysine, and the synthase is gradually enriched during the diet transformation. The gut microbiota of newborn rabbits has a higher abundance of lipid metabolism, which helps the host obtain more energy from breast milk lipids. The rabbit gut microbiota can also synthesize a variety of secondary bile acids after the introduction of solid feed. These findings provide a novel understanding of how the gut microbiota mediates adaptability to environment and diet in rabbits and provide multiple potential strategies for regulating intestinal health and promoting higher feed efficiency.
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Affiliation(s)
- Man Zhao
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Hongli Liu
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Mengqi Liu
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Zhengkai Yue
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Chenyang Li
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Lei Liu
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China.
| | - Fuchang Li
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Department of Animal Science, Shandong Agricultural University, Taian, China.
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Chang Y, Guo R, Gu T, Zong Y, Sun H, Xu W, Chen L, Tian Y, Li G, Lu L, Zeng T. Integrated transcriptome and microbiome analyses of residual feed intake in ducks during high production period. Poult Sci 2024; 103:103726. [PMID: 38636203 PMCID: PMC11031780 DOI: 10.1016/j.psj.2024.103726] [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: 12/22/2023] [Revised: 03/12/2024] [Accepted: 03/31/2024] [Indexed: 04/20/2024] Open
Abstract
Residual feed intake (RFI) is a crucial parameter for assessing the feeding efficiency of poultry. Minimizing RFI can enhance feed utilization and reduce costs. In this study, 315 healthy female ducks were individually housed in cages. Growth performance was monitored during the high laying period, from 290 to 325 d of age. The cecal transcriptome and microbiome of 12 ducks with high RFI and 12 with low residual feed intake (LRFI) were analyzed. Regarding growth performance, the LRFI group exhibited significantly lower RFI, feed conversion ratio (FCR), and feed intake (Fi) compared to the HRFI group (p < 0.01). However, there were no significant differences observed in body weight (BW), body weight gain (BWG), and egg mass (EML) between the groups (p > 0.05). Microbiome analysis demonstrated that RFI impacted gut microbial abundance, particularly affecting metabolism and disease-related microorganisms such as Romboutsia, Enterococcus, and Megamonas funiformis. Transcriptome analysis revealed that varying RFI changed the expression of genes related to glucose metabolism and lipid metabolism, including APOA1, G6PC1, PCK1, and PLIN1. The integrated analysis indicated that host genes were closely linked to the microbiota and primarily function in lipid metabolism, which may enhance feeding efficiency by influencing metabolism and maintaining gut homeostasis.
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Affiliation(s)
- Yuguang Chang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Rongbing Guo
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China; College of Animal Science, Zhejiang A&F University, Hangzhou, China
| | - Tiantian Gu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Yibo Zong
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Hanxue Sun
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China; College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 430064, China
| | - Wenwu Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Li Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, 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; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Guoqin Li
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, 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; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, 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; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs; Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
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3
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Maritan E, Quagliariello A, Frago E, Patarnello T, Martino ME. The role of animal hosts in shaping gut microbiome variation. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230071. [PMID: 38497257 PMCID: PMC10945410 DOI: 10.1098/rstb.2023.0071] [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: 07/10/2023] [Accepted: 10/10/2023] [Indexed: 03/19/2024] Open
Abstract
Millions of years of co-evolution between animals and their associated microbial communities have shaped and diversified the nature of their relationship. Studies continue to reveal new layers of complexity in host-microbe interactions, the fate of which depends on a variety of different factors, ranging from neutral processes and environmental factors to local dynamics. Research is increasingly integrating ecosystem-based approaches, metagenomics and mathematical modelling to disentangle the individual contribution of ecological factors to microbiome evolution. Within this framework, host factors are known to be among the dominant drivers of microbiome composition in different animal species. However, the extent to which they shape microbiome assembly and evolution remains unclear. In this review, we summarize our understanding of how host factors drive microbial communities and how these dynamics are conserved and vary across taxa. We conclude by outlining key avenues for research and highlight the need for implementation of and key modifications to existing theory to fully capture the dynamics of host-associated microbiomes. This article is part of the theme issue 'Sculpting the microbiome: how host factors determine and respond to microbial colonization'.
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Affiliation(s)
- Elisa Maritan
- Department of Comparative Biomedicine and Food Science, University of Padova, 35020 Padova, Italy
| | - Andrea Quagliariello
- Department of Comparative Biomedicine and Food Science, University of Padova, 35020 Padova, Italy
| | - Enric Frago
- CIRAD, UMR CBGP, INRAE, Institut Agro, IRD, Université Montpellier, 34398 Montpellier, France
| | - Tomaso Patarnello
- Department of Comparative Biomedicine and Food Science, University of Padova, 35020 Padova, Italy
| | - Maria Elena Martino
- Department of Comparative Biomedicine and Food Science, University of Padova, 35020 Padova, Italy
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Song Y, Bai Y, Liu C, Zhai X, Zhang L. The impact of gut microbiota on autoimmune thyroiditis and relationship with pregnancy outcomes: a review. Front Cell Infect Microbiol 2024; 14:1361660. [PMID: 38505287 PMCID: PMC10948601 DOI: 10.3389/fcimb.2024.1361660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 02/19/2024] [Indexed: 03/21/2024] Open
Abstract
Autoimmune thyroiditis (AITD) is a T-cell-mediated, organ- specific autoimmune disease caused by interactions between genetic and environmental factors. Patients with AITD show thyroid lymphocyte infiltration and an increase in the titer of thyroid autoimmune antibodies, thereby altering the integrity of thyroid follicle epithelial cells and dysregulating their metabolism and immune function, leading to a decrease in multi-tissue metabolic activity. Research has shown that patients with AITD have a significantly higher risk of adverse pregnancy outcomes, such as infertility and miscarriage. Levothyroxine(LT4) treatment can improve the pregnancy outcomes of normal pregnant women with thyroid peroxidase antibodies(TPOAb) positivity, but it is not effective for invitro fertilization embryo transfer (IVF-ET) in women with normal thyroid function and positive TPOAb. Other factors may also influence pregnancy outcomes of patients with AITD. Recent studies have revealed that the gut microbiota participates in the occurrence and development of AITD by influencing the gut-thyroid axis. The bacterial abundance and diversity of patients with Hashimoto thyroiditis (HT) were significantly reduced, and the relative abundances of Bacteroides, fecal Bacillus, Prevotella, and Lactobacillus also decreased. The confirmation of whether adjusting the composition of the gut microbiota can improve pregnancy outcomes in patients with AITD is still pending. This article reviews the characteristics of the gut microbiota in patients with AITD and the current research on its impact in pregnancy.
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Affiliation(s)
| | | | | | | | - Le Zhang
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Cortés-Martín A, Iglesias-Aguirre CE, Marín A, Romo-Vaquero M, Vallejo F, Espín JC, Victoria Selma M. Urolithin A production drives the effects of pomegranate on the gut microbial metabolism of bile acids and cholesterol in mild dyslipidaemic overweight and obese individuals. Food Funct 2024; 15:2422-2432. [PMID: 38329279 DOI: 10.1039/d3fo05014a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
The metabolism of (poly)phenols and some host metabolites, including bile acids (BAs) and cholesterol, varies among individuals depending on their gut microbiota. The gut microbial metabolism of ellagitannins (ETs) and ellagic acid (EA) produces urolithins (Uros), yielding three metabotypes with quantitative and qualitative differences based on dissimilar Uro-producing profiles (UM-A, UM-B, and UM-0, i.e., non-producers). Previous animal studies demonstrated that polyphenols impact BAs and cholesterol microbial metabolism, but data on their effects in humans and data regarding the inter-individual variability of these metabolic conversions are scant. We evaluated whether UMs, as distinctive functional gut-microbiome signatures, could determine the potential effect of a pomegranate extract (PE) rich in ET-EA on the metabolism of BAs and cholesterol in mild dyslipidaemic overweight-obese individuals, with possible consequences on host-lipid homeostasis and gut health. At the baseline, UM-B presented the highest levels of faecal total and secondary BAs and coprostanol, suggesting that the lipid absorption capacity and gut cytotoxic risk could be augmented in UM-B. PE intake significantly reduced faecal coprostanol and BA production, especially secondary BAs, and modulated the gut microbiome, reducing the gut cytotoxic risk, especially in UM-B individuals. The lowering of faecal microbial coprostanol and BAs and some BA-metabolising bacteria was quantitatively correlated with Uro concentrations, mainly faecal Uro-A. This suggests that PE consumption could exert cardiovascular and gut protection through Uro-A production as a direct driver of the effects and indirectly by reducing the Coriobacteriaceae family and BA pool, known factors involved in the gut absorption of lipids.
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Affiliation(s)
- Adrián Cortés-Martín
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Campus de Espinardo, Murcia 30100, Spain.
- APC Microbiome Ireland & School of Microbiology, University College Cork, T12 YT20 Cork, Ireland
| | - Carlos E Iglesias-Aguirre
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Campus de Espinardo, Murcia 30100, Spain.
| | - Alicia Marín
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Campus de Espinardo, Murcia 30100, Spain.
| | - María Romo-Vaquero
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Campus de Espinardo, Murcia 30100, Spain.
| | - Fernando Vallejo
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Campus de Espinardo, Murcia 30100, Spain.
| | - Juan Carlos Espín
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Campus de Espinardo, Murcia 30100, Spain.
| | - María Victoria Selma
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Campus de Espinardo, Murcia 30100, Spain.
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6
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Keum GB, Pandey S, Kim ES, Doo H, Kwak J, Ryu S, Choi Y, Kang J, Kim S, Kim HB. Understanding the Diversity and Roles of the Ruminal Microbiome. J Microbiol 2024; 62:217-230. [PMID: 38662310 DOI: 10.1007/s12275-024-00121-4] [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: 11/10/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 04/26/2024]
Abstract
The importance of ruminal microbiota in ruminants is emphasized, not only as a special symbiotic relationship with ruminants but also as an interactive and dynamic ecosystem established by the metabolites of various rumen microorganisms. Rumen microbial community is essential for life maintenance and production as they help decompose and utilize fiber that is difficult to digest, supplying about 70% of the energy needed by the host and 60-85% of the amino acids that reach the small intestine. Bacteria are the most abundant in the rumen, but protozoa, which are relatively large, account for 40-50% of the total microorganisms. However, the composition of these ruminal microbiota is not conserved or constant throughout life and is greatly influenced by the host. It is known that the initial colonization of calves immediately after birth is mainly influenced by the mother, and later changes depending on various factors such as diet, age, gender and breed. The initial rumen microbial community contains aerobic and facultative anaerobic bacteria due to the presence of oxygen, but as age increases, a hypoxic environment is created inside the rumen, and anaerobic bacteria become dominant in the rumen microbial community. As calves grow, taxonomic diversity increases, especially as they begin to consume solid food. Understanding the factors affecting the rumen microbial community and their effects and changes can lead to the early development and stabilization of the microbial community through the control of rumen microorganisms, and is expected to ultimately help improve host productivity and efficiency.
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Affiliation(s)
- Gi Beom Keum
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea
| | - Sriniwas Pandey
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea
| | - Eun Sol Kim
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea
| | - Hyunok Doo
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea
| | - Jinok Kwak
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea
| | - Sumin Ryu
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea
| | - Yejin Choi
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea
| | - Juyoun Kang
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea
| | - Sheena Kim
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea.
| | - Hyeun Bum Kim
- Department of Animal Biotechnology, Dankook University, Cheonan, 31116, Republic of Korea.
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7
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Wu Y, Zhou T, Gu C, Yin B, Yang S, Zhang Y, Wu R, Wei W. Geographical distribution and species variation of gut microbiota in small rodents from the agro-pastoral transition ecotone in northern China. Ecol Evol 2024; 14:e11084. [PMID: 38469048 PMCID: PMC10926059 DOI: 10.1002/ece3.11084] [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: 10/21/2023] [Revised: 02/03/2024] [Accepted: 02/12/2024] [Indexed: 03/13/2024] Open
Abstract
The gut microbiota of rodents is essential for survival and adaptation and is susceptible to various factors, ranging from environmental conditions to genetic predispositions. Nevertheless, few comparative studies have considered the contribution of species identity and geographic spatial distance to variations in the gut microbiota. In this study, a random sampling survey encompassing four rodent species (Apodemus agrarius, Cricetulus barabensis, Tscherskia triton and Rattus norvegicus) was conducted at five sites in northern China's farming-pastoral ecotone. Through a cross-factorial comparison, we aimed to discern whether belonging to the same species or sharing the same capture site predominantly influences the composition of gut microbiota. Notably, the observed variations in microbiome composition among these four rodent species match the host phylogeny at the family level but not at the species level. The gut microbiota of these four rodent species exhibited typical mammalian characteristics, predominantly characterized by the Firmicutes and Bacteroidetes phyla. As the geographic distance between populations increased, the number of shared microbial taxa among conspecific populations decreased. We observed that within a relatively small geographical range, even different species exhibited convergent α-diversity due to their inhabitation within the same environmental microbial pool. In contrast, the composition and structure of the intestinal microbiota in the allopatric populations of A. agrarius demonstrated marked differences, similar to those of C. barabensis. Additionally, geographical environmental elements exhibited significant correlations with diversity indices. Conversely, host-related factors had minimal influence on microbial abundance. Our findings indicated that the similarity of the microbial compositions was not determined primarily by the host species, and the location of the sampling explained a greater amount of variation in the microbial composition, indicating that the local environment played a crucial role in shaping the microbial composition.
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Affiliation(s)
- Yongzhen Wu
- College of Bioscience and BiotechnologyYangzhou UniversityYangzhouJiangsuChina
| | - Taoxiu Zhou
- College of Bioscience and BiotechnologyYangzhou UniversityYangzhouJiangsuChina
| | - Chen Gu
- College of Bioscience and BiotechnologyYangzhou UniversityYangzhouJiangsuChina
| | - Baofa Yin
- College of Bioscience and BiotechnologyYangzhou UniversityYangzhouJiangsuChina
| | - Shengmei Yang
- College of Bioscience and BiotechnologyYangzhou UniversityYangzhouJiangsuChina
| | - Yunzeng Zhang
- College of Bioscience and BiotechnologyYangzhou UniversityYangzhouJiangsuChina
| | - Ruiyong Wu
- College of Bioscience and BiotechnologyYangzhou UniversityYangzhouJiangsuChina
| | - Wanhong Wei
- College of Bioscience and BiotechnologyYangzhou UniversityYangzhouJiangsuChina
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Kahhaleh FG, Barrientos G, Conrad ML. The gut-lung axis and asthma susceptibility in early life. Acta Physiol (Oxf) 2024; 240:e14092. [PMID: 38251788 DOI: 10.1111/apha.14092] [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: 06/22/2023] [Revised: 12/06/2023] [Accepted: 01/01/2024] [Indexed: 01/23/2024]
Abstract
Asthma is the most common chronic disease among children, with more than 300 million cases worldwide. Over the past several decades, asthma incidence has grown, and epidemiological studies identify the modernized lifestyle as playing a strong contributing role in this phenomenon. In particular, lifestyle factors that modify the maternal gut microbiome during pregnancy, or the infant microbiome in early life, can act as developmental programming events which determine health or disease susceptibility later in life. Microbial colonization of the gut begins at birth, and factors such as delivery mode, breastfeeding, diet, antibiotic use, and exposure to environmental bacteria influence the development of the infant microbiome. Colonization of the gut microbiome is crucial for proper immune system development and disruptions to this process can predispose a child to asthma development. Here, we describe the importance of early-life events for shaping immune responses along the gut-lung axis and why they may provide a window of opportunity for asthma prevention.
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Affiliation(s)
- Fariz G Kahhaleh
- Institute of Microbiology, Infectious Diseases and Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Gabriela Barrientos
- Laboratory of Experimental Medicine, Hospital Alemán, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Melanie L Conrad
- Institute of Microbiology, Infectious Diseases and Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
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9
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Fong JJ, Sung YH, Ding L. Fine-scale geographic difference of the endangered Big-headed Turtle (Platysternon megacephalum) fecal microbiota, and comparison with the syntopic Beale's Eyed Turtle (Sacalia bealei). BMC Microbiol 2024; 24:71. [PMID: 38418973 PMCID: PMC10902975 DOI: 10.1186/s12866-024-03227-2] [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: 06/09/2023] [Accepted: 02/15/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Studies have elucidated the importance of gut microbiota for an organism, but we are still learning about the important influencing factors. Several factors have been identified in helping shape the microbiome of a host, and in this study we focus on two factors-geography and host. We characterize the fecal microbiota of the Big-headed Turtle (Platysternon megacephalum) and compare across a relatively fine geographic scale (three populations within an 8-km radius) and between two syntopic hosts (P. megacephalum and Sacalia bealei). Both species are endangered, which limits the number of samples we include in the study. Despite this limitation, these data serve as baseline data for healthy, wild fecal microbiotas of two endangered turtle species to aid in conservation management. RESULTS For geography, the beta diversity of fecal microbiota differed between the most distant sites. The genus Citrobacter significantly differs between sites, which may indicate a difference in food availability, environmental microbiota, or both. Also, we identify the common core microbiome for Platysternon across Hong Kong as the shared taxa across the three sites. Additionally, beta diversity differs between host species. Since the two species are from the same site and encounter the same environmental microbiota, we infer that there is a host effect on the fecal microbiota, such as diet or the recruitment of host-adapted bacteria. Lastly, functional analyses found metabolism pathways (KEGG level 1) to be the most common, and pathways (KEGG level 3) to be statistically significant between sites, but statistically indistinguishable between species at the same site. CONCLUSIONS We find that fecal microbiota can significantly differ at a fine geographic scale and between syntopic hosts. Also, the function of fecal microbiota seems to be strongly affected by geographic site, rather than species. This study characterizes the identity and function of the fecal microbiota of two endangered turtle species, from what is likely their last remaining wild populations. These data of healthy, wild fecal microbiota will serve as a baseline for comparison and contribute to the conservation of these two endangered species.
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Affiliation(s)
| | - Yik-Hei Sung
- Science Unit, Lingnan University, Hong Kong, China
- School of Allied Health Sciences, University of Suffolk, 19 Neptune Quay, Ipswich, IP4 1QJ, UK
| | - Li Ding
- Ministry of Education Key Laboratory for Ecology of Tropical Islands, College of Life Sciences, Hainan Normal University, Haikou, China.
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Li J, Fu N, Wang M, Gao C, Gao B, Ren L, Tao J, Luo Y. Functional and Compositional Changes in Sirex noctilio Gut Microbiome in Different Habitats: Unraveling the Complexity of Invasive Adaptation. Int J Mol Sci 2024; 25:2526. [PMID: 38473774 DOI: 10.3390/ijms25052526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/04/2024] [Accepted: 02/14/2024] [Indexed: 03/14/2024] Open
Abstract
The mutualistic symbiosis relationship between the gut microbiome and their insect hosts has attracted much scientific attention. The native woodwasp, Sirex nitobei, and the invasive European woodwasp, Sirex noctilio, are two pests that infest pines in northeastern China. Following its encounter with the native species, however, there is a lack of research on whether the gut microbiome of S. noctilio changed, what causes contributed to these alterations, and whether these changes were more conducive to invasive colonization. We used high-throughput and metatranscriptomic sequencing to investigate S. noctilio larval gut and frass from four sites where only S. noctilio and both two Sirex species and investigated the effects of environmental factors, biological interactions, and ecological processes on S. noctilio gut microbial community assembly. Amplicon sequencing of two Sirex species revealed differential patterns of bacterial and fungal composition and functional prediction. S. noctilio larval gut bacterial and fungal diversity was essentially higher in coexistence sites than in separate existence sites, and most of the larval gut bacterial and fungal community functional predictions were significantly different as well. Moreover, temperature and precipitation positively correlate with most of the highly abundant bacterial and fungal genera. Source-tracking analysis showed that S. noctilio larvae at coexistence sites remain dependent on adult gut transmission (vertical transmission) or recruitment to frass (horizontal transmission). Meanwhile, stochastic processes of drift and dispersal limitation also have important impacts on the assembly of S. noctilio larval gut microbiome, especially at coexistence sites. In summary, our results reveal the potential role of changes in S. noctilio larval gut microbiome in the successful colonization and better adaptation of the environment.
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Affiliation(s)
- Jiale Li
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
- Sino-France Joint Laboratory for Invasive Forest Pests in Eurasia, Beijing Forestry University, Beijing 100083, China
| | - Ningning Fu
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
- Department of Forest Protection, College of Forestry, Hebei Agricultural University, Baoding 071033, China
| | - Ming Wang
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China
| | - Chenglong Gao
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
- Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou 510520, China
| | - Bingtao Gao
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
- Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China
| | - Lili Ren
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
- Sino-France Joint Laboratory for Invasive Forest Pests in Eurasia, Beijing Forestry University, Beijing 100083, China
| | - Jing Tao
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
- Sino-France Joint Laboratory for Invasive Forest Pests in Eurasia, Beijing Forestry University, Beijing 100083, China
| | - Youqing Luo
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing 100083, China
- Sino-France Joint Laboratory for Invasive Forest Pests in Eurasia, Beijing Forestry University, Beijing 100083, China
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11
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Kamel M, Aleya S, Alsubih M, Aleya L. Microbiome Dynamics: A Paradigm Shift in Combatting Infectious Diseases. J Pers Med 2024; 14:217. [PMID: 38392650 PMCID: PMC10890469 DOI: 10.3390/jpm14020217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 02/24/2024] Open
Abstract
Infectious diseases have long posed a significant threat to global health and require constant innovation in treatment approaches. However, recent groundbreaking research has shed light on a previously overlooked player in the pathogenesis of disease-the human microbiome. This review article addresses the intricate relationship between the microbiome and infectious diseases and unravels its role as a crucial mediator of host-pathogen interactions. We explore the remarkable potential of harnessing this dynamic ecosystem to develop innovative treatment strategies that could revolutionize the management of infectious diseases. By exploring the latest advances and emerging trends, this review aims to provide a new perspective on combating infectious diseases by targeting the microbiome.
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Affiliation(s)
- Mohamed Kamel
- Department of Medicine and Infectious Diseases, Faculty of Veterinary Medicine, Cairo University, Giza 11221, Egypt
| | - Sami Aleya
- Faculty of Medecine, Université de Bourgogne Franche-Comté, Hauts-du-Chazal, 25030 Besançon, France
| | - Majed Alsubih
- Department of Civil Engineering, King Khalid University, Guraiger, Abha 62529, Saudi Arabia
| | - Lotfi Aleya
- Laboratoire de Chrono-Environnement, Université de Bourgogne Franche-Comté, UMR CNRS 6249, La Bouloie, 25030 Besançon, France
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12
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Härer A, Rennison DJ. Gut Microbiota Uniqueness Is Associated with Lake Size, a Proxy for Diet Diversity, in Stickleback Fish. Am Nat 2024; 203:284-291. [PMID: 38306277 DOI: 10.1086/727703] [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: 02/04/2024]
Abstract
AbstractOrganismal divergence can be driven by differential resource use and adaptation to different trophic niches. Variation in diet is a major factor shaping the gut microbiota, which is crucial for many aspects of their hosts' biology. However, it remains largely unknown how host diet diversity affects the gut microbiota, and it could be hypothesized that trophic niche width is positively associated with gut microbiota diversity. To test this idea, we sequenced the 16S ribosomal RNA gene from intestinal tissue of 14 threespine stickleback populations from lakes of varying size on Vancouver Island, Canada, that have been shown to differ in trophic niche width. Using lake size as a proxy for trophic ecology, we found evidence for higher gut microbiota uniqueness among individuals from populations with broader trophic niches. While these results suggest that diet diversity might promote gut microbiota diversity, additional work investigating diet and gut microbiota variation of the same host organisms will be necessary. Yet our results motivate the question of how host population diversity (e.g., ecological, morphological, genetic) might interact with the gut microbiota during the adaptation to ecological niches.
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13
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Zhu Y, Ma R, Hu L, Yang H, Gong H, He K. Structure, variation and assembly of body-wide microbiomes in endangered crested ibis Nipponia nippon. Mol Ecol 2024; 33:e17238. [PMID: 38108198 DOI: 10.1111/mec.17238] [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: 06/28/2023] [Revised: 10/17/2023] [Accepted: 11/27/2023] [Indexed: 12/19/2023]
Abstract
Limited knowledge of bird microbiome in the all-body niche hinders our understanding of host-microbial relationships and animal health. Here, we characterized the microbial composition of the crested ibis from 13 body sites, representing the cloaca, oral, feather and skin habitats, and explored assembly mechanism structuring the bacterial community of the four habitats respectively. The bacterial community characteristics were distinct among the four habitats. The skin harboured the highest alpha diversity and most diverse functions, followed by feather, oral and cloaca. Individual-specific features were observed when the skin and feathers were concentrated independently. Skin and feather samples of multiple body sites from the same individual were more similar than those from different individuals. Although a significant proportion of the microbiota in the host (85.7%-96.5%) was not derived from the environmental microbiome, as body sites became more exposed to the environment, the relative importance of neutral processes (random drift or dispersal) increased. Neutral processes were the most important contributor in shaping the feather microbiome communities (R2 = .859). A higher percentage of taxa (29.3%) on the skin were selected by hosts compared to taxa on other body habitats. This study demonstrated that niche speciation and partial neutral processes, rather than environmental sources, contribute to microbiome variation in the crested ibis. These results enhance our knowledge of baseline microbial diversity in birds and will aid health management in crested ibises in the future.
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Affiliation(s)
- Ying Zhu
- Institute of Qinghai-Tibetan Plateau, Provincial Key Laboratory for Alpine Grassland Conservation and Utilization on Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, China
| | - Ruifeng Ma
- Institute of Qinghai-Tibetan Plateau, Provincial Key Laboratory for Alpine Grassland Conservation and Utilization on Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, China
| | - Lei Hu
- Institute of Qinghai-Tibetan Plateau, Provincial Key Laboratory for Alpine Grassland Conservation and Utilization on Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, China
| | - Haiqiong Yang
- Emei Breeding Center for Crested Ibis, Emei, China
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Haizhou Gong
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Ke He
- College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A & F University, Hangzhou, China
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14
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Virili C, Stramazzo I, Bagaglini MF, Carretti AL, Capriello S, Romanelli F, Trimboli P, Centanni M. The relationship between thyroid and human-associated microbiota: A systematic review of reviews. Rev Endocr Metab Disord 2024; 25:215-237. [PMID: 37824030 PMCID: PMC10808578 DOI: 10.1007/s11154-023-09839-9] [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] [Accepted: 09/22/2023] [Indexed: 10/13/2023]
Abstract
In recent years, a growing number of studies have examined the relationship between thyroid pathophysiology and intestinal microbiota composition. The reciprocal influence between these two entities has been proven so extensive that some authors coined the term "gut-thyroid axis". However, since some papers reported conflicting results, several aspects of this correlation need to be clarified. This systematic review was conceived to achieve more robust information about: 1)the characteristics of gut microbiota composition in patients with the more common morphological, functional and autoimmune disorders of the thyroid; 2)the influence of gut microbial composition on micronutrients that are essential for the maintenance of thyroid homeostasis; 3)the effect of probiotics, prebiotics and synbiotics, some of the most popular over-the-counter products, on thyroid balance; 4)the opportunity to use specific dietary advice. The literature evaluation was made by three authors independently. A five steps strategy was a priori adopted. After duplicates removal, 1106 records were initially found and 38 reviews were finally included in the analysis. The systematic reviews of reviews found that: 1) some significant variations characterize the gut microbiota composition in patients with thyroid disorders. However, geographical clustering of most of the studies prevents drawing definitive conclusions on this topic; 2) the available knowledge about the effect of probiotics and synbiotics are not strong enough to suggest the routine use of these compounds in patients with thyroid disorders; 3) specific elimination nutrition should not be routine suggested to patients, which, instead have to be checked for possible micronutrients and vitamins deficiency, often owed to gastrointestinal autoimmune comorbidities.
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Affiliation(s)
- Camilla Virili
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza" University of Rome, Corso Della Repubblica 79, Latina, Italy.
- Endocrinology Unit, Santa Maria Goretti Hospital, Latina, Italy.
| | | | - Maria Flavia Bagaglini
- Endocrinology Unit, Santa Maria Goretti Hospital, Latina, Italy
- Department of Experimental Medicine, Sapienza" University of Rome, Rome, Italy
| | - Anna Lucia Carretti
- Endocrinology Unit, Santa Maria Goretti Hospital, Latina, Italy
- Department of Experimental Medicine, Sapienza" University of Rome, Rome, Italy
| | | | - Francesco Romanelli
- Department of Experimental Medicine, Sapienza" University of Rome, Rome, Italy
| | - Pierpaolo Trimboli
- Clinic for Endocrinology and Diabetology, Lugano Regional Hospital, Ente Ospedaliero Cantonale, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università Della Svizzera Italiana (USI), Lugano, Switzerland
| | - Marco Centanni
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza" University of Rome, Corso Della Repubblica 79, Latina, Italy
- Endocrinology Unit, Santa Maria Goretti Hospital, Latina, Italy
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15
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Sun R, Niu H, Li Y, Sun M, Hua M, Miao X, Su Y, Wang J, Li D, Wang Y. Fermented natto powder alleviates obesity by regulating LXR pathway and gut microbiota in obesity rats. J Appl Microbiol 2024; 135:lxae003. [PMID: 38192042 DOI: 10.1093/jambio/lxae003] [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: 07/11/2023] [Revised: 11/02/2023] [Accepted: 01/05/2024] [Indexed: 01/10/2024]
Abstract
AIM This study aimed to investigate the positive effect of natto powder on obese rats fed with a high-fat diet (HFD). METHODS AND RESULTS Sprague-Dawley rats were fed with a HFD for 8 weeks continuously and gavaged with natto powder, respectively, for 8 weeks starting from the ninth week. The results showed that natto powder significantly reduced the body weight of rats and maintained the balance of cholesterol metabolism in the body by inhibiting the activity of liver X receptors (LXR) target genes, increasing the active expression of cholesterol 7 alpha-hydroxylase, and reducing the active expression of sterol-regulatory element-binding protein and 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR). Furthermore, natto powder increased the relative abundance of potentially beneficial microbiota in gut and decreased the relative abundance of obesity-related harmful bacteria, and also increased the Bacteroidetes/Firmicutes ratio and improved the composition of gut microbiota. CONCLUSIONS Natto powder maintains the balance of cholesterol metabolism by inhibiting the LXR pathway and regulating the gut microbiota.
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Affiliation(s)
- Ruiyue Sun
- Institute of Agro-product Process, Jilin Academy of Agricultural Science, Changchun 130033, Jilin, China
- Future Food (Bai Ma) Research Institute, Nanjing 211200, Jiangsu, China
| | - Honghong Niu
- Institute of Agro-product Process, Jilin Academy of Agricultural Science, Changchun 130033, Jilin, China
| | - Yueqiao Li
- Science and Technology Exchange and Cooperation Division, Jilin Academy of Agricultural Sciences, Changchun 130033, Jilin, China
| | - Mubai Sun
- Institute of Agro-product Process, Jilin Academy of Agricultural Science, Changchun 130033, Jilin, China
| | - Mei Hua
- Institute of Agro-product Process, Jilin Academy of Agricultural Science, Changchun 130033, Jilin, China
| | - Xinyu Miao
- Institute of Agro-product Process, Jilin Academy of Agricultural Science, Changchun 130033, Jilin, China
| | - Ying Su
- Institute of Agro-product Process, Jilin Academy of Agricultural Science, Changchun 130033, Jilin, China
| | - Jinghui Wang
- Institute of Agro-product Process, Jilin Academy of Agricultural Science, Changchun 130033, Jilin, China
| | - Da Li
- Institute of Agro-product Process, Jilin Academy of Agricultural Science, Changchun 130033, Jilin, China
| | - Ying Wang
- Institute of Agricultural Quality Standards and Testing Technology, Liaoning Academy of Agricultural Sciences, Shenyang 110000, Liaoning, China
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16
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Qi W, Xue MY, Jia MH, Zhang S, Yan Q, Sun HZ. - Invited Review - Understanding the functionality of the rumen microbiota: searching for better opportunities for rumen microbial manipulation. Anim Biosci 2024; 37:370-384. [PMID: 38186256 PMCID: PMC10838668 DOI: 10.5713/ab.23.0308] [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: 08/17/2023] [Accepted: 11/03/2023] [Indexed: 01/09/2024] Open
Abstract
Rumen microbiota play a central role in the digestive process of ruminants. Their remarkable ability to break down complex plant fibers and proteins, converting them into essential organic compounds that provide animals with energy and nutrition. Research on rumen microbiota not only contributes to improving animal production performance and enhancing feed utilization efficiency but also holds the potential to reduce methane emissions and environmental impact. Nevertheless, studies on rumen microbiota face numerous challenges, including complexity, difficulties in cultivation, and obstacles in functional analysis. This review provides an overview of microbial species involved in the degradation of macromolecules, the fermentation processes, and methane production in the rumen, all based on cultivation methods. Additionally, the review introduces the applications, advantages, and limitations of emerging omics technologies such as metagenomics, metatranscriptomics, metaproteomics, and metabolomics, in investigating the functionality of rumen microbiota. Finally, the article offers a forward-looking perspective on the new horizons and technologies in the field of rumen microbiota functional research. These emerging technologies, with continuous refinement and mutual complementation, have deepened our understanding of rumen microbiota functionality, thereby enabling effective manipulation of the rumen microbial community.
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Affiliation(s)
- Wenlingli Qi
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Ming-Yuan Xue
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Ming-Hui Jia
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shuxian Zhang
- CAS Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Qiongxian Yan
- CAS Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Hui-Zeng Sun
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
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17
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Zhao Y, Chen W, Li J, Yi J, Song X, Ni Y, Zhu S, Zhang Z, Xia L, Zhang J, Yang S, Ni J, Lu H, Wang Z, Nie S, Liu L. Ultra-Processed Food Consumption and Mortality: Three Cohort Studies in the United States and United Kingdom. Am J Prev Med 2024; 66:315-323. [PMID: 37690589 DOI: 10.1016/j.amepre.2023.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 09/03/2023] [Accepted: 09/04/2023] [Indexed: 09/12/2023]
Abstract
INTRODUCTION Given the increase in ultra-processed food (UPF) consumption, their potential health effects have aroused concern. Whether UPF consumption is associated with cancer and cardiovascular disease mortality is debatable. This study evaluates the association of UPF consumption with mortality. METHODS A total of 108,714 U.S. adults from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (1993-2001), 208,051 UK adults from UK Biobank (2006-2010), and 41,070 U.S. adults from National Health and Nutrition Examination Survey (1999-2018) were included. Dietary data were collected by dietary questionnaire and classified using the NOVA classification. UPF consumption was expressed as the weight proportion of UPFs in total foods consumed. Cox proportional hazard models were used to calculate hazard ratios and 95% CIs. Mediation analysis was used to evaluate whether multiple metabolic pathways mediated the associations in UK Biobank. Analyses were performed in 2022-2023. RESULTS Combined analyses of the three cohorts showed that those with the highest quartile of UPF consumption had higher risks of all-cause mortality (hazard ratio, 1.16; 95% CI, 1.11-1.20) and cardiovascular disease mortality (hazard ratio, 1.17; 95% CI, 1.06-1.28) compared to the lowest quartile of UPF consumption. UPF consumption was not associated with cancer mortality risk. Biomarkers of liver function have the greatest mediating effects on all-cause mortality (20.3%), and biomarkers of inflammation have the greatest mediating effects on cardiovascular disease mortality (29.2%). CONCLUSIONS Higher UPF consumption was associated with increased all-cause and cardiovascular disease mortality risk, with multiple metabolic pathways playing mediating roles.
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Affiliation(s)
- Yingying Zhao
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Weiyi Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Jia Li
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Jing Yi
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Xuemei Song
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Yuxin Ni
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Sijia Zhu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Zhihao Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Lu Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Jia Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Shuaishuai Yang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Jingjing Ni
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Haojie Lu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Zhen Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Shaofa Nie
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Li Liu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China.
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18
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Yi L, Zhu J, Li Q, Guan X, Cheng W, Xie Y, Zhao Y, Zhao S. Panax notoginseng stems and leaves affect microbial community and function in cecum of duzang pigs. Transl Anim Sci 2024; 8:txad142. [PMID: 38425544 PMCID: PMC10904106 DOI: 10.1093/tas/txad142] [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: 10/02/2023] [Accepted: 01/09/2024] [Indexed: 03/02/2024] Open
Abstract
Panax notoginseng is a Chinese medicine with a long history in which stems and leaves are the wastes of processing Panax notoginseng and have not been effectively utilized. The effects of diets containing Panax notoginseng stems and leaves on the cecal short-chain fatty acid (SCFA) concentration and microbiome of independent pigs were studied. Diets containing Panax notoginseng stems and leaves did not affect the concentration of SCFA in the cecal contents of Duzang pigs but affected the microbial composition and diversity. Firmicutes, Proteobacteria, and Bacteroidetes dominate in the cecal of Duzang pigs. Feeding Duzang pigs with a 10% Panax notoginseng stems and leaves diet increases the abundance of Lactobacillus, Christensenellaceae R-7 group, and Akkermansia in the cecal. We found 14 genera positively associated with acetate, and they were Lactobacillus, Ruminococcaceae UCG 005, Ruminiclostridium 6; Escherichia Shigella and Family XIII AD3011 group showed negative correlations. Solobacterium, Desulfovibrio, and Erysipelatoclostridium were positively associated with propionate. Campylobacter, Clostridium sensu stricto 11, and Angelakisella were positively associated with butyrate. In conclusion, Panax notoginseng stems and leaves could affect the cecal microbial community and functional composition of Duzang pigs. Panax notoginseng stems and leaves reduce the enrichment of lipopolysaccharide biosynthetic pathway of the cecal microbiome, which may have a positive effect on intestinal health. The higher abundance of GH25 family in Duzang pig's cecal microbiome of fed Panax notoginseng stems and leaves diet. This increase may be the reason for the microbial diversity decrease.
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Affiliation(s)
- Lanlan Yi
- Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Yunnan 650201, China
| | - Junhong Zhu
- Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Yunnan 650201, China
| | - Qiuyan Li
- Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Yunnan 650201, China
| | - Xuancheng Guan
- Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Yunnan 650201, China
| | - Wenjie Cheng
- Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Yunnan 650201, China
| | - Yuxiao Xie
- Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Yunnan 650201, China
- College of Biology and Agriculture, Zunyi Normal University, Guizhou 563006, China
| | - Yanguang Zhao
- Shanghai Academy of Science Technology, Shanghai Lab. Animal Research Center, Shanghai 201203, China
| | - Sumei Zhao
- Yunnan Key Laboratory of Animal Nutrition and Feed Science, Yunnan Agricultural University, Yunnan 650201, China
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19
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Nolin SJ, Siegel PB, Ashwell CM. Differences in the microbiome of the small intestine of Leghorn lines divergently selected for antibody titer to sheep erythrocytes suggest roles for commensals in host humoral response. Front Physiol 2024; 14:1304051. [PMID: 38260103 PMCID: PMC10800846 DOI: 10.3389/fphys.2023.1304051] [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: 09/28/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
For forty generations, two lines of White Leghorn chickens have been selected for high (HAS) or low (LAS) antibody response to a low dose injection of sheep red blood cells (SRBCs). Their gut is home to billons of microorganisms and the largest number of immune cells in the body; therefore, the objective of this experiment was to gain understanding of the ways the microbiome may influence the differential antibody response observed in these lines. We achieved this by characterizing the small intestinal microbiome of HAS and LAS chickens, determining their functional microbiome profiles, and by using machine learning to identify microbes which best differentiate HAS from LAS and associating the abundance of those microbes with host gene expression. Microbiome sequencing revealed greater diversity in LAS but statistically higher abundance of several strains, particularly those of Lactobacillus, in HAS. Enrichment of microbial metabolites implicated in immune response such as lactic acid, short chain fatty acids, amino acids, and vitamins were different between HAS and LAS. The abundance of several microbial strains corresponds to enriched host gene expression pathways related to immune response. These data provide a compelling argument that the microbiome is both likely affected by host divergent genetic selection and that it exerts influence on host antibody response by various mechanisms.
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Affiliation(s)
- Shelly J. Nolin
- Prestage Department of Poultry Science, North Carolina State University, Raleigh, NC, United States
| | - Paul B. Siegel
- School of Animal Science, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
| | - Christopher M. Ashwell
- Davis College of Agriculture, Natural Resources, and Design, West Virginia University, Morgantown, WV, United States
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20
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Duffy EP, Bachtell RK, Ehringer MA. Opioid trail: Tracking contributions to opioid use disorder from host genetics to the gut microbiome. Neurosci Biobehav Rev 2024; 156:105487. [PMID: 38040073 PMCID: PMC10836641 DOI: 10.1016/j.neubiorev.2023.105487] [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: 08/29/2023] [Revised: 11/22/2023] [Accepted: 11/27/2023] [Indexed: 12/03/2023]
Abstract
Opioid use disorder (OUD) is a worldwide public health crisis with few effective treatment options. Traditional genetics and neuroscience approaches have provided knowledge about biological mechanisms that contribute to OUD-related phenotypes, but the complexity and magnitude of effects in the brain and body remain poorly understood. The gut-brain axis has emerged as a promising target for future therapeutics for several psychiatric conditions, so characterizing the relationship between host genetics and the gut microbiome in the context of OUD will be essential for development of novel treatments. In this review, we describe evidence that interactions between host genetics, the gut microbiome, and immune signaling likely play a key role in mediating opioid-related phenotypes. Studies in humans and model organisms consistently demonstrated that genetic background is a major determinant of gut microbiome composition. Furthermore, the gut microbiome is susceptible to environmental influences such as opioid exposure. Additional work focused on gene by microbiome interactions will be necessary to gain improved understanding of their effects on OUD-related behaviors.
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Affiliation(s)
- Eamonn P Duffy
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
| | - Ryan K Bachtell
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Marissa A Ehringer
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
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Tyagi AM. Mechanism of action of gut microbiota and probiotic Lactobacillus rhamnosus GG on skeletal remodeling in mice. Endocrinol Diabetes Metab 2024; 7:e440. [PMID: 37505196 PMCID: PMC10782069 DOI: 10.1002/edm2.440] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 06/28/2023] [Accepted: 07/01/2023] [Indexed: 07/29/2023] Open
Abstract
INTRODUCTION Gut microbiota (GM) is the collection of small organisms such as bacteria, fungi, bacteriophages and protozoans living in the intestine in symbiotics relation within their host. GM regulates host metabolism by various mechanisms. METHODS This review aims to consolidate current information for physicians on the effect of GM on bone health. For this, an online search of the literature was conducted using the keywords gut microbiota, bone mass, osteoporosis, Lactobacillus and sex steroid. RESULTS AND CONCLUSIONS There is a considerable degree of variation in bone mineral density (BMD) within populations, and it is estimated that a significant component of BMD variability is due to genetics. However, the remaining causes of bone mass variance within populations remain largely unknown. A well-recognized cause of phenotypic variation in bone mass is the composition of the microbiome. Studies have shown that germ-free (GF) mice have higher bone mass compared to conventionally raised (CR) mice. Furthermore, GM dysbiosis, also called dysbacteriosis, is defined as any alteration in the composition of the microbial community that has been colonized in the host intestine and associated with the development of bone diseases. For instance, postmenopausal osteoporosis (PMO) and diabetes. GM can be modulated by several factors such as genetics, age, drugs, food habits and probiotics. Probiotics are defined as viable bacteria that confer health benefits by modulating GM when administered in adequate quantity. Lactobacillus rhamnosus GG (LGG) is a great example of such a probiotic. LGG has been shown to regulate bone mass in healthy mice as well as ovariectomized (OVX) mice via two different mechanisms. This review will focus on the literature regarding the mechanism by which GM and probiotic LGG regulate bone mass in healthy mice as well as in OVX mice, a model of PMO.
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Härer A, Rennison DJ. The effects of host ecology and phylogeny on gut microbiota (non)parallelism across birds and mammals. mSphere 2023; 8:e0044223. [PMID: 38038446 PMCID: PMC10732045 DOI: 10.1128/msphere.00442-23] [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: 08/03/2023] [Accepted: 10/19/2023] [Indexed: 12/02/2023] Open
Abstract
IMPORTANCE What are the roles of determinism and contingency in evolution? The paleontologist and evolutionary biologist Stephen J. Gould raised this question in his famous thought experiment of "replaying life's tape." Settings where independent lineages have repeatedly adapted to similar ecological niches (i.e., parallel evolution) are well suited to address this question. Here, we quantified whether repeated ecological shifts across 53 mammalian and 50 avian host species are associated with parallel gut microbiota changes. Our results indicate that parallel shifts in host diet are associated with greater gut microbiota parallelism (i.e., more deterministic). While further research will be necessary to obtain a comprehensive picture of the circumstances under which deterministic gut microbiota changes might be expected, our study can be instrumental in motivating the use of more quantitative methods in microbiota research. This, in turn, can help us better understand microbiota dynamics during adaptive evolution of their hosts.
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Affiliation(s)
- Andreas Härer
- Department of Ecology, Behavior & Evolution, School of Biological Sciences , University of California San Diego, La Jolla, California, USA
| | - Diana J. Rennison
- Department of Ecology, Behavior & Evolution, School of Biological Sciences , University of California San Diego, La Jolla, California, USA
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23
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Zhang Y, Liu S, Huang XY, Zi HB, Gao T, Ji RJ, Sheng J, Zhi D, Zhang YL, Gong CM, Yang YQ. Altitude as a key environmental factor shaping microbial communities of tea green leafhoppers ( Matsumurasca onukii). Microbiol Spectr 2023; 11:e0100923. [PMID: 37921460 PMCID: PMC10714740 DOI: 10.1128/spectrum.01009-23] [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: 03/07/2023] [Accepted: 09/19/2023] [Indexed: 11/04/2023] Open
Abstract
IMPORTANCE Host-associated microbial communities play an important role in the fitness of insect hosts. However, the factors shaping microbial communities in wild populations, including environmental factors and interactions among microbial species, remain largely unknown. The tea green leafhopper has a wide geographical distribution and is highly adaptable, providing a suitable model for studying the effect of ecological drivers on microbiomes. This is the first large-scale culture-independent study investigating the microbial communities of M. onukii sampled from different locations. Altitude as a key environmental factor may have shaped microbial communities of M. onukii by affecting the relative abundance of endosymbionts, especially Wolbachia. The results of this study, therefore, offer not only an in-depth view of the microbial diversity of this species but also an insight into the influence of environmental factors.
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Affiliation(s)
- Yong Zhang
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China
- College of Life Science, Anhui Agricultural University, Hefei, Anhui, China
| | - Song Liu
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
| | - Xue-yu Huang
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
| | - Hua-bin Zi
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
| | - Tian Gao
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
| | - Rui-jie Ji
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
| | - Juan Sheng
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
| | - Dian Zhi
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
| | - Ying-lao Zhang
- College of Life Science, Anhui Agricultural University, Hefei, Anhui, China
| | - Chun-mei Gong
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China
| | - Yun-qiu Yang
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, China
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24
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Zhang D, Ma Y, Liu J, Wang D, Geng Z, Wen D, Chen H, Wang H, Li L, Zhu X, Wang X, Huang M, Zou C, Chen Y, Ma L. Fenofibrate improves hepatic steatosis, insulin resistance, and shapes the gut microbiome via TFEB-autophagy in NAFLD mice. Eur J Pharmacol 2023; 960:176159. [PMID: 37898287 DOI: 10.1016/j.ejphar.2023.176159] [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: 07/29/2023] [Revised: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 10/30/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a major liver disease subtype worldwide, is commonly associated with insulin resistance and obesity. NAFLD is characterized by an excessive hepatic lipid accumulation, as well as hepatic steatosis. Fenofibrate is a peroxisome proliferator-activated receptor α agonist widely used in clinical therapy to effectively ameliorate the development of NAFLD, but its mechanism of action is incompletely understood. Here, we found that fenofibrate dramatically modulate the gut microbiota composition of high-fat diet (HFD)-induced NAFLD mouse model, and the change of gut microbiota composition is dependent on TFEB-autophagy axis. Furthermore, we also found that fenofibrate improved hepatic steatosis, and increased the activation of TFEB, which severed as a regulator of autophagy, thus, the protective effects of fenofibrate against NAFLD are depended on TFEB-autophagy axis. Our study demonstrates the host gene may influence the gut microbiota and highlights the role of TFEB and autophagy in the protective effect of NAFLD. This work expands our understanding of the regulatory interactions between the host and gut microbiota and provides novel strategies for alleviating obesity.
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Affiliation(s)
- Dan Zhang
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Yicheng Ma
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, PR China
| | - Jianjun Liu
- Yunnan Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Biomedical Engineering, Kunming Medical University, Kunming, 650500, PR China
| | - Da Wang
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Zuotao Geng
- Department of Pediatrics, Women and Children's Hospital of Lijiang, Lijiang, 674100, PR China
| | - Daiyan Wen
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Hang Chen
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Hui Wang
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Lanyi Li
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Xiaotong Zhu
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Xuemin Wang
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Minshan Huang
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China
| | - Chenggang Zou
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, PR China.
| | - Yuanli Chen
- Faculty of Basic Medicine, Kunming Medical University, Kunming, 650500, PR China.
| | - Lanqing Ma
- The First Affiliated Hospital, Yunnan Institute of Digestive Disease, Yunnan Clinical Research Center for Digestive Diseases, Kunming Medical University, Kunming, 650032, PR China.
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25
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Golder HM, Denman SE, McSweeney C, Celi P, Lean IJ. Effects of feed additives on rumen function and bacterial and archaeal communities during a starch and fructose challenge. J Dairy Sci 2023; 106:8787-8808. [PMID: 37678787 DOI: 10.3168/jds.2023-23486] [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: 03/14/2023] [Accepted: 07/18/2023] [Indexed: 09/09/2023]
Abstract
The objective of this study was to improve understandings of the rumen microbial ecosystem during ruminal acidosis and responses to feed additives to improve prudent use strategies for ruminal acidosis control. Rumen bacterial and archaeal community composition (BCC) and its associations with rumen fermentation measures were examined in Holstein heifers fed feed additives and challenged with starch and fructose. Heifers (n = 40) were randomly allocated to 5 treatment groups: (1) control (no additives); (2) virginiamycin (VM; 200 mg/d); (3) monensin (MT; 200 mg/d) + tylosin (110 mg/d); (4) monensin (MLY; 220 mg/d) + live yeast (5.0 × 1012 cfu/d); (5) sodium bicarbonate (BUF; 200 g/d) + magnesium oxide (30 g/d). Heifers were fed twice daily a 62% forage:38% concentrate total mixed ration at 1.25% of body weight (BW) dry matter (DM)/d for a 20-d adaptation period with their additive(s). Fructose (0.1% of BW/d) was added to the ration for the last 10 d of adaptation. On d 21 heifers were challenged once with a ration consisting of 1.0% of BW DM wheat and 0.2% of BW fructose plus their additive(s). A rumen sample was collected from each heifer via stomach tube weekly (d 0, 7, 14) and 5 times over a 3.6 h period at 5, 65, 115, 165, and 215 min after consumption of the challenge ration (d 21) and analyzed for pH, and ammonia, d- and l-lactate, volatile fatty acids (VFA), and histamine concentrations and total bacteria and archaea. The 16S rRNA gene spanning the V4 region was PCR amplified and sequenced. Alpha and β diversity and associations of relative abundances of taxa with rumen fermentation measures were evaluated. Rumen BCC shifted among treatment groups in the adaptation period and across the challenge sampling period, indicating the feed additives had different modes of action. The monensin-containing treatment groups, MT and MLY often had similar relative abundances of rumen bacterial phyla and families. The MLY treatment group was characterized in the challenge period by increased relative abundances of the lactate utilizing genera Anaerovibrio and Megasphaera. The MLY treatment group also had increased diversity of ruminal bacteria which may provide resilience to changes in substrates. The control and BUF treatment groups were most similar in BCC. A redundancy analysis showed the MLY treatment group differed from all other treatment groups and concentrations of histamine and valerate in the rumen were associated with the most variation in the microbiota, 5.3% and 4.8%, respectively. It was evident from the taxa common to all treatment groups that cattle have a core microbiota. Functional redundancy of rumen bacteria which was reflected in the greater sensitivity for the rumen BCC than rumen fermentation measures likely provide resilience to changes in substrate. This functional redundancy of microbes in cattle suggests that there is no single optimal ruminal microbial population and no universally superior feed additive(s). In summary, differences in modes of action suggest the potential for more targeted and improved prudent use of feed additives with no single feed additive(s) providing an optimal BCC in all heifers.
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Affiliation(s)
- H M Golder
- Scibus, Camden, New South Wales, 2570, Australia; Dairy Science Group, School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, New South Wales, Australia, 2567.
| | - S E Denman
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, St. Lucia, QLD 4067, Australia
| | - C McSweeney
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, St. Lucia, QLD 4067, Australia
| | - P Celi
- Melbourne School of Land and Environment, The University of Melbourne, Parkville, VIC 3052, Australia
| | - I J Lean
- Scibus, Camden, New South Wales, 2570, Australia; Dairy Science Group, School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, New South Wales, Australia, 2567
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26
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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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27
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Chen L, Mou X, Li J, Li M, Ye C, Gao X, Liu X, Ma Y, Xu Y, Zhong Y. Alterations in gut microbiota and host transcriptome of patients with coronary artery disease. BMC Microbiol 2023; 23:320. [PMID: 37924005 PMCID: PMC10623719 DOI: 10.1186/s12866-023-03071-w] [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: 08/11/2023] [Accepted: 10/16/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Coronary artery disease (CAD) is a widespread heart condition caused by atherosclerosis and influences millions of people worldwide. Early detection of CAD is challenging due to the lack of specific biomarkers. The gut microbiota and host-microbiota interactions have been well documented to affect human health. However, investigation that reveals the role of gut microbes in CAD is still limited. This study aims to uncover the synergistic effects of host genes and gut microbes associated with CAD through integrative genomic analyses. RESULTS Herein, we collected 52 fecal and 50 blood samples from CAD patients and matched controls, and performed amplicon and transcriptomic sequencing on these samples, respectively. By comparing CAD patients with health controls, we found that dysregulated gut microbes were significantly associated with CAD. By leveraging the Random Forest method, we found that combining 20 bacteria and 30 gene biomarkers could distinguish CAD patients from health controls with a high performance (AUC = 0.92). We observed that there existed prominent associations of gut microbes with several clinical indices relevant to heart functions. Integration analysis revealed that CAD-relevant gut microbe genus Fusicatenibacter was associated with expression of CAD-risk genes, such as GBP2, MLKL, and CPR65, which is in line with previous evidence (Tang et al., Nat Rev Cardiol 16:137-154, 2019; Kummen et al., J Am Coll Cardiol 71:1184-1186, 2018). In addition, the upregulation of immune-related pathways in CAD patients were identified to be primarily associated with higher abundance of genus Blautia, Eubacterium, Fusicatenibacter, and Monoglobus. CONCLUSIONS Our results highlight that dysregulated gut microbes contribute risk to CAD by interacting with host genes. These identified microbes and interacted risk genes may have high potentials as biomarkers for CAD.
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Affiliation(s)
- Liuying Chen
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xuanting Mou
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Li
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Miaofu Li
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Caijie Ye
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiaofei Gao
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaohua Liu
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yunlong Ma
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- Department of Biomedical Informatics, Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou, 325027, China.
- Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, 325101, Zhejiang, China.
| | - Yizhou Xu
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yigang Zhong
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Neeteson AM, Avendaño S, Koerhuis A, Duggan B, Souza E, Mason J, Ralph J, Rohlf P, Burnside T, Kranis A, Bailey R. Evolutions in Commercial Meat Poultry Breeding. Animals (Basel) 2023; 13:3150. [PMID: 37835756 PMCID: PMC10571742 DOI: 10.3390/ani13193150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/04/2023] [Accepted: 10/07/2023] [Indexed: 10/15/2023] Open
Abstract
This paper provides a comprehensive overview of the history of commercial poultry breeding, from domestication to the development of science and commercial breeding structures. The development of breeding goals over time, from mainly focusing on production to broad goals, including bird welfare and health, robustness, environmental impact, biological efficiency and reproduction, is detailed. The paper outlines current breeding goals, including traits (e.g., on foot and leg health, contact dermatitis, gait, cardiovascular health, robustness and livability), recording techniques, their genetic basis and how trait these antagonisms, for example, between welfare and production, are managed. Novel areas like genomic selection and gut health research and their current and potential impact on breeding are highlighted. The environmental impact differences of various genotypes are explained. A future outlook shows that balanced, holistic breeding will continue to enable affordable lean animal protein to feed the world, with a focus on the welfare of the birds and a diversity of choice for the various preferences and cultures across the world.
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Affiliation(s)
| | - Santiago Avendaño
- Aviagen Group, Newbridge EH28 8SZ, UK; (S.A.); (A.K.); (T.B.); (R.B.)
| | - Alfons Koerhuis
- Aviagen Group, Newbridge EH28 8SZ, UK; (S.A.); (A.K.); (T.B.); (R.B.)
| | | | - Eduardo Souza
- Aviagen Inc., Huntsville, AL 35805, USA; (E.S.); (J.M.)
| | - James Mason
- Aviagen Inc., Huntsville, AL 35805, USA; (E.S.); (J.M.)
| | - John Ralph
- Aviagen Turkeys Ltd., Tattenhall CH3 9GA, UK;
| | - Paige Rohlf
- Aviagen Turkeys Inc., Lewisburg, WV 24901, USA;
| | - Tim Burnside
- Aviagen Group, Newbridge EH28 8SZ, UK; (S.A.); (A.K.); (T.B.); (R.B.)
| | - Andreas Kranis
- Aviagen Ltd., Newbridge EH28 8SZ, UK; (B.D.); or (A.K.)
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, Midlothian EH25 9RG, UK
| | - Richard Bailey
- Aviagen Group, Newbridge EH28 8SZ, UK; (S.A.); (A.K.); (T.B.); (R.B.)
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Yan C, Huang SH, Ding HF, Kwek E, Liu JH, Chen ZX, Ma KY, Chen ZY. Adverse effect of oxidized cholesterol exposure on colitis is mediated by modulation of gut microbiota. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132057. [PMID: 37467611 DOI: 10.1016/j.jhazmat.2023.132057] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 06/27/2023] [Accepted: 07/12/2023] [Indexed: 07/21/2023]
Abstract
Both cholesterol and oxidized cholesterol (OXC) are present in human diets. The incidence of inflammatory bowel diseases (IBDs) is increasing in the world. The present study was to investigate the mechanism by which OXC promotes colitis using C57BL/6 mice as a model. Results shown that more severe colitis was developed in OXC-treated mice with the administration of dextran sulfate sodium (DSS) in water. Direct effects of short-term OXC exposure on gut barrier or inflammation were not observed in healthy mice. However, OXC exposure could cause gut microbiota dysbiosis with a decrease in the relative abundance of short-train fatty acids (SCFAs)-producing bacteria (Lachnospiraceae_NK4A136_group and Blautia) and an increase in the abundance of some potential harmful bacteria (Bacteroides). OXC-induced symptoms of colitis were eliminated when mice were administered with antibiotic cocktails, indicating the promoting effect of OXC on DSS-induced colitis was mediated by its effect on gut microbiota. Moreover, bacteria-depleted mice colonized with gut microbiome from OXC-DSS-exposed mice exhibited a severe colitis, further proving the gut dysbiosis caused by OXC exposure was the culprit in exacerbating the colitis. It was concluded that dietary OXC exposure increased the susceptibility of colitis in mice by causing gut microbiota dysbiosis.
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Affiliation(s)
- Chi Yan
- Food and Nutritional Sciences Program, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Shou-He Huang
- Food and Nutritional Sciences Program, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Hua-Fang Ding
- Food and Nutritional Sciences Program, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Erika Kwek
- Food and Nutritional Sciences Program, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Jian-Hui Liu
- Food and Nutritional Sciences Program, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Zi-Xing Chen
- Food and Nutritional Sciences Program, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Ka Ying Ma
- Food and Nutritional Sciences Program, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
| | - Zhen-Yu Chen
- Food and Nutritional Sciences Program, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China.
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30
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Salvador AC, Huda MN, Arends D, Elsaadi AM, Gacasan CA, Brockmann GA, Valdar W, Bennett BJ, Threadgill DW. Analysis of strain, sex, and diet-dependent modulation of gut microbiota reveals candidate keystone organisms driving microbial diversity in response to American and ketogenic diets. MICROBIOME 2023; 11:220. [PMID: 37784178 PMCID: PMC10546677 DOI: 10.1186/s40168-023-01588-w] [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: 12/06/2022] [Accepted: 06/01/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND The gut microbiota is modulated by a combination of diet, host genetics, and sex effects. The magnitude of these effects and interactions among them is important to understanding inter-individual variability in gut microbiota. In a previous study, mouse strain-specific responses to American and ketogenic diets were observed along with several QTLs for metabolic traits. In the current study, we searched for genetic variants underlying differences in the gut microbiota in response to American and ketogenic diets, which are high in fat and vary in carbohydrate composition, between C57BL/6 J (B6) and FVB/NJ (FVB) mouse strains. RESULTS Genetic mapping of microbial features revealed 18 loci under the QTL model (i.e., marginal effects that are not specific to diet or sex), 12 loci under the QTL by diet model, and 1 locus under the QTL by sex model. Multiple metabolic and microbial features map to the distal part of Chr 1 and Chr 16 along with eigenvectors extracted from principal coordinate analysis of measures of β-diversity. Bilophila, Ruminiclostridium 9, and Rikenella (Chr 1) were identified as sex- and diet-independent QTL candidate keystone organisms, and Parabacteroides (Chr 16) was identified as a diet-specific, candidate keystone organism in confirmatory factor analyses of traits mapping to these regions. For many microbial features, irrespective of which QTL model was used, diet or the interaction between diet and a genotype were the strongest predictors of the abundance of each microbial trait. Sex, while important to the analyses, was not as strong of a predictor for microbial abundances. CONCLUSIONS These results demonstrate that sex, diet, and genetic background have different magnitudes of effects on inter-individual differences in gut microbiota. Therefore, Precision Nutrition through the integration of genetic variation, microbiota, and sex affecting microbiota variation will be important to predict response to diets varying in carbohydrate composition. Video Abstract.
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Affiliation(s)
- Anna C Salvador
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, 77843, USA
- Department of Nutrition, Texas A&M University, College Station, TX, 77843, USA
| | - M Nazmul Huda
- Department of Nutrition, University of California Davis, Sacramento, CA, 95616, USA
- Obesity and Metabolism Unit, Western Human Nutrition Research Center, USDA-ARS, Davis, CA, 95616, USA
| | - Danny Arends
- Albrecht Daniel Thaer-Institut, 10115, Berlin, Germany
- Department of Applied Sciences, Northumbria University, Newcastle Upon Tyne, UK
| | - Ahmed M Elsaadi
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, 77843, USA
| | - C Anthony Gacasan
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, 77843, USA
| | | | - William Valdar
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Brian J Bennett
- Department of Nutrition, University of California Davis, Sacramento, CA, 95616, USA
- Obesity and Metabolism Unit, Western Human Nutrition Research Center, USDA-ARS, Davis, CA, 95616, USA
| | - David W Threadgill
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, 77843, USA.
- Department of Nutrition, Texas A&M University, College Station, TX, 77843, USA.
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, TX, 77843, USA.
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Härer A, Mauro AA, Laurentino TG, Rosenblum EB, Rennison DJ. Gut microbiota parallelism and divergence associated with colonisation of novel habitats. Mol Ecol 2023; 32:5661-5672. [PMID: 37715531 DOI: 10.1111/mec.17135] [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: 05/16/2023] [Revised: 08/04/2023] [Accepted: 09/01/2023] [Indexed: 09/17/2023]
Abstract
An organism's gut microbiota can change in response to novel environmental conditions, in particular when colonisation of new habitats is accompanied by shifts in the host species' ecology. Here, we investigated the gut microbiota of three lizard species (A. inornata, H. maculata and S. cowlesi) from their ancestral-like habitat in the Chihuahuan desert and two colonised habitats with contrasting geological and ecological compositions: the White Sands and Carrizozo lava flow. The host species and the lizards' environment both shape gut microbiota composition, but host effects were overall stronger. Further, we found evidence that colonisation of the same environment by independent host species led to parallel changes of the gut microbiota, whereas the colonisation of two distinct environments by the same host species led to gut microbiota divergence. Some of the gut microbiota changes that accompanied the colonisation of the White Sands were associated with shifts in diet (based on diet information from previous studies), which is congruent with the general observation that trophic ecology has a strong effect on gut microbiota composition. Our study provides insights into how shifts in host ecology accompanying colonisation of novel environments can affect gut microbiota composition and diversity.
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Affiliation(s)
- Andreas Härer
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, La Jolla, California, USA
| | - Alexander A Mauro
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA
- Department of Biology, Centre for Biodiversity Dynamics (CBD), Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway
| | - Telma G Laurentino
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA
| | - Erica B Rosenblum
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA
- Museum of Vertebrate Zoology, University of California Berkeley, Berkeley, California, USA
| | - Diana J Rennison
- Department of Ecology, Behavior and Evolution, School of Biological Sciences, University of California San Diego, La Jolla, California, USA
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Hess MK, Hodgkinson HE, Hess AS, Zetouni L, Budel JCC, Henry H, Donaldson A, Bilton TP, van Stijn TC, Kirk MR, Dodds KG, Brauning R, McCulloch AF, Hickey SM, Johnson PL, Jonker A, Morton N, Hendy S, Oddy VH, Janssen PH, McEwan JC, Rowe SJ. Large-scale analysis of sheep rumen metagenome profiles captured by reduced representation sequencing reveals individual profiles are influenced by the environment and genetics of the host. BMC Genomics 2023; 24:551. [PMID: 37723422 PMCID: PMC10506323 DOI: 10.1186/s12864-023-09660-3] [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: 10/12/2022] [Accepted: 09/07/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Producing animal protein while reducing the animal's impact on the environment, e.g., through improved feed efficiency and lowered methane emissions, has gained interest in recent years. Genetic selection is one possible path to reduce the environmental impact of livestock production, but these traits are difficult and expensive to measure on many animals. The rumen microbiome may serve as a proxy for these traits due to its role in feed digestion. Restriction enzyme-reduced representation sequencing (RE-RRS) is a high-throughput and cost-effective approach to rumen metagenome profiling, but the systematic (e.g., sequencing) and biological factors influencing the resulting reference based (RB) and reference free (RF) profiles need to be explored before widespread industry adoption is possible. RESULTS Metagenome profiles were generated by RE-RRS of 4,479 rumen samples collected from 1,708 sheep, and assigned to eight groups based on diet, age, time off feed, and country (New Zealand or Australia) at the time of sample collection. Systematic effects were found to have minimal influence on metagenome profiles. Diet was a major driver of differences between samples, followed by time off feed, then age of the sheep. The RF approach resulted in more reads being assigned per sample and afforded greater resolution when distinguishing between groups than the RB approach. Normalizing relative abundances within the sampling Cohort abolished structures related to age, diet, and time off feed, allowing a clear signal based on methane emissions to be elucidated. Genus-level abundances of rumen microbes showed low-to-moderate heritability and repeatability and were consistent between diets. CONCLUSIONS Variation in rumen metagenomic profiles was influenced by diet, age, time off feed and genetics. Not accounting for environmental factors may limit the ability to associate the profile with traits of interest. However, these differences can be accounted for by adjusting for Cohort effects, revealing robust biological signals. The abundances of some genera were consistently heritable and repeatable across different environments, suggesting that metagenomic profiles could be used to predict an individual's future performance, or performance of its offspring, in a range of environments. These results highlight the potential of using rumen metagenomic profiles for selection purposes in a practical, agricultural setting.
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Affiliation(s)
- Melanie K Hess
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand.
| | - Hannah E Hodgkinson
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Andrew S Hess
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
- Agriculture, Veterinary & Rangeland Sciences, University of Nevada-Reno, 1664 N. Virginia St. Mail stop 202, Reno, NV, 89557, USA
| | - Larissa Zetouni
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
- Wageningen University & Research, P.O. Box 338, 6700, AH, Wageningen, The Netherlands
| | - Juliana C C Budel
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
- Graduate Program in Animal Science, Universidade Federal do Pará (UFPa), Castanhal, Brazil
| | - Hannah Henry
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Alistair Donaldson
- NSW Department of Primary Industries, University of New England, Armidale, 2351, Australia
| | - Timothy P Bilton
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Tracey C van Stijn
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Michelle R Kirk
- AgResearch Ltd., Grasslands Research Centre, Private Bag 11,008, Palmerston North, 4410, New Zealand
| | - Ken G Dodds
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Rudiger Brauning
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Alan F McCulloch
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Sharon M Hickey
- AgResearch Ltd., Ruakura Research Centre, Private Bag 3115, Hamilton, 3214, New Zealand
| | - Patricia L Johnson
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Arjan Jonker
- AgResearch Ltd., Grasslands Research Centre, Private Bag 11,008, Palmerston North, 4410, New Zealand
| | - Nickolas Morton
- Te Pūnaha Matatini, University of Auckland, Auckland, 1010, New Zealand
| | - Shaun Hendy
- Te Pūnaha Matatini, University of Auckland, Auckland, 1010, New Zealand
| | - V Hutton Oddy
- NSW Department of Primary Industries, University of New England, Armidale, 2351, Australia
| | - Peter H Janssen
- AgResearch Ltd., Grasslands Research Centre, Private Bag 11,008, Palmerston North, 4410, New Zealand
| | - John C McEwan
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | - Suzanne J Rowe
- AgResearch Ltd., Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
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Jiao F, Zhang L, Limbu SM, Yin H, Xie Y, Yang Z, Shang Z, Kong L, Rong H. A comparison of digestive strategies for fishes with different feeding habits: Digestive enzyme activities, intestinal morphology, and gut microbiota. Ecol Evol 2023; 13:e10499. [PMID: 37706163 PMCID: PMC10495811 DOI: 10.1002/ece3.10499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 07/21/2023] [Accepted: 08/23/2023] [Indexed: 09/15/2023] Open
Abstract
Fish feeding habit determines the digestive tract structure and intestinal microflora. However, the relationship between feeding habit, digestive intestinal morphology, and microbial diversity of omnivorous, herbivorous, plankton feeder, and carnivorous fish from the same environment has not been compared. This study compared the digestive enzyme activities, intestinal morphology, and intestinal microflora of omnivorous (Carassius auratus), herbivorous (Ctenopharyngodon idellus), carnivorous (Siniperca chuatsi), and plankton feeder (Schizothorax grahami) fishes and predicted the potential functions of specific microflora on different nutrients. Twelve intestine samples were collected from each of the four fishes from Dianchi Lake. The composition and diversity of microbial communities were determined by using high-throughput sequencing of 16S rDNA. The results showed that the carnivorous fish (S. chuatsi) had higher trypsin and pancrelipase activities in the hepatopancreas and enteropeptidase in the intestine, but lower amylase activities in the intestine. The carnivorous fish intestine had more microvilli branches and complex structures than other fish species in the order carnivorous > herbivorous > plankton feeder > omnivorous. The intestinal microflora diversity was higher in the omnivorous fish and followed the order omnivorous > herbivorous > plankton feeder > carnivorous. Acinetobacter species and Bacteroides species were the most dominant flora in the carnivorous and herbivorous fishes, respectively. Acinetobacter species and Pseudomonas species might help the host to digest protein, while Bacteroidetes species may help the host to digest cellulose. Taken together, feeding habit determines the digestive enzyme activities, intestinal tissue morphology, and differential colonization of fish intestinal flora. The knowledge obtained is useful in feed formulation and feeding practices for the studied fish species.
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Affiliation(s)
- Fang Jiao
- College of Marine SciencesSouth China Agricultural UniversityGuangzhouChina
| | | | - Samwel Mchele Limbu
- Department of Aquaculture Technology, School of Aquatic Sciences and Fisheries TechnologyUniversity of Dar es SalaamDar es SalaamTanzania
| | - Hong Yin
- Kunming Customs Technology CenterKunmingChina
| | | | | | | | - Lingfu Kong
- College of Animal Science and TechnologyYunnan Agricultural UniversityKunmingChina
| | - Hua Rong
- Xiangyang PolytechnicXiangyangChina
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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: 0] [Impact Index Per Article: 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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Fu Y, Yao S, Wang T, Lu Y, Han H, Liu X, Lv D, Ma X, Guan S, Yao Y, Liu Y, Yu H, Li S, Yang N, Liu G. Effects of melatonin on rumen microorganisms and methane production in dairy cow: results from in vitro and in vivo studies. MICROBIOME 2023; 11:196. [PMID: 37644507 PMCID: PMC10463863 DOI: 10.1186/s40168-023-01620-z] [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: 09/14/2022] [Accepted: 07/13/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Methane (CH4) is a major greenhouse gas, and ruminants are one of the sources of CH4 which is produced by the rumen microbiota. Modification of the rumen microbiota compositions will impact the CH4 production. In this study, the effects of melatonin on methane production in cows were investigated both in the in vitro and in vivo studies. RESULTS Melatonin treatment significantly reduced methane production in both studies. The cows treated with melatonin reduced methane emission from their respiration by approximately 50%. The potential mechanisms are multiple. First, melatonin lowers the volatile fatty acids (VFAs) production in rumen and reduces the raw material for CH4 synthesis. Second, melatonin not only reduces the abundance of Methanobacterium which are responsible for generating methane but also inhibits the populations of protozoa to break the symbiotic relationship between Methanobacterium and protozoa in rumen to further lowers the CH4 production. The reduced VFA production is not associated with food intake, and it seems also not to jeopardize the nutritional status of the cows. This was reflected by the increased milk lipid and protein contents in melatonin treated compared to the control cows. It is likely that the energy used to synthesize methane is saved to compensate the reduced VFA production. CONCLUSION This study enlightens the potential mechanisms by which melatonin reduces rumen methane production in dairy cows. Considering the greenhouse effects of methane on global warming, these findings provide valuable information using different approaches to achieve low carbon dairy farming to reduce the methane emission. Video Abstract.
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Affiliation(s)
- Yao Fu
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Songyang Yao
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Tiankun Wang
- Beijing Changping District Animal Disease Prevention and Control Center, Beijing, China
| | - Yongqiang Lu
- Beijing General Station of Animal Husbandry, Beijing, China
| | - Huigang Han
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xuening Liu
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Dongying Lv
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Xiao Ma
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shengyu Guan
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yujun Yao
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yunjie Liu
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Haiying Yu
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shengli Li
- College of Animal Science and Technology, China Agricultural University, Beijing, China
- Beijing Jingwa Agricultural Science and Technology Innovation Center, Beijing, China
| | - Ning Yang
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Guoshi Liu
- College of Animal Science and Technology, China Agricultural University, Beijing, China.
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Larke JA, Heiss BE, Ehrlich AM, Taft DH, Raybould HE, Mills DA, Slupsky CM. Milk oligosaccharide-driven persistence of Bifidobacterium pseudocatenulatum modulates local and systemic microbial metabolites upon synbiotic treatment in conventionally colonized mice. MICROBIOME 2023; 11:194. [PMID: 37635250 PMCID: PMC10463478 DOI: 10.1186/s40168-023-01624-9] [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: 11/07/2022] [Accepted: 07/14/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND Bifidobacteria represent an important gut commensal in humans, particularly during initial microbiome assembly in the first year of life. Enrichment of Bifidobacterium is mediated though the utilization of human milk oligosaccharides (HMOs), as several human-adapted species have dedicated genomic loci for transport and metabolism of these glycans. This results in the release of fermentation products into the gut lumen which may offer physiological benefits to the host. Synbiotic pairing of probiotic species with a cognate prebiotic delivers a competitive advantage, as the prebiotic provides a nutrient niche. METHODS To determine the fitness advantage and metabolic characteristics of an HMO-catabolizing Bifidobacterium strain in the presence or absence of 2'-fucosyllactose (2'-FL), conventionally colonized mice were gavaged with either Bifidobacterium pseudocatenulatum MP80 (B.p. MP80) (as the probiotic) or saline during the first 3 days of the experiment and received water or water containing 2'-FL (as the prebiotic) throughout the study. RESULTS 16S rRNA gene sequencing revealed that mice provided only B.p. MP80 were observed to have a similar microbiota composition as control mice throughout the experiment with a consistently low proportion of Bifidobacteriaceae present. Using 1H NMR spectroscopy, similar metabolic profiles of gut luminal contents and serum were observed between the control and B.p. MP80 group. Conversely, synbiotic supplemented mice exhibited dramatic shifts in their community structure across time with an overall increased, yet variable, proportion of Bifidobacteriaceae following oral inoculation. Parsing the synbiotic group into high and moderate bifidobacterial persistence based on the median proportion of Bifidobacteriaceae, significant differences in gut microbial diversity and metabolite profiles were observed. Notably, metabolites associated with the fermentation of 2'-FL by bifidobacteria were significantly greater in mice with a high proportion of Bifidobacteriaceae in the gut suggesting metabolite production scales with population density. Moreover, 1,2-propanediol, a fucose fermentation product, was only observed in the liver and brain of mice harboring high proportions of Bifidobacteriaceae. CONCLUSIONS This study reinforces that the colonization of the gut with a commensal microorganism does not guarantee a specific functional output. Video Abstract.
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Affiliation(s)
- Jules A Larke
- Department of Nutrition, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - Britta E Heiss
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - Amy M Ehrlich
- Department of Anatomy, Physiology, and Cell Biology, School of Veterinary Medicine, University of California, Davis, , Davis, CA, USA
| | - Diana H Taft
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - Helen E Raybould
- Department of Anatomy, Physiology, and Cell Biology, School of Veterinary Medicine, University of California, Davis, , Davis, CA, USA
| | - David A Mills
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
| | - Carolyn M Slupsky
- Department of Nutrition, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
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37
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Vadillo Gonzalez S, Vranken S, Coleman MA, Wernberg T, Steinberg PD, Marzinelli EM. Host genotype and microbiome associations in co-occurring clonal and non-clonal kelp, Ecklonia radiata. Mol Ecol 2023; 32:4584-4598. [PMID: 37332135 DOI: 10.1111/mec.17056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 04/21/2023] [Accepted: 06/09/2023] [Indexed: 06/20/2023]
Abstract
A fundamental question in holobiont biology is the extent to which microbiomes are determined by host characteristics regulated by their genotype. Studies on the interactions of host genotype and microbiomes are emerging but disentangling the role that host genotype has in shaping microbiomes remains challenging in natural settings. Host genotypes tend to be segregated in space and affected by different environments. Here we overcome this challenge by studying an unusual situation where host asexual (5 clonal lineages) and sexual genotypes (15 non-clonal lineages) of the same species co-occur under the same environment. This allowed us to partition the influence of morphological traits and genotype in shaping host-associated bacterial communities. Lamina-associated bacteria of co-occurring kelp sexual non-clonal (Ecklonia radiata) and asexual clonal (E. brevipes) morphs were compared to test whether host genotype influences microbiomes beyond morphology. Similarity of bacterial composition and predicted functions were evaluated among individuals within a single clonal genotype or among non-clonal genotypes of each morph. Higher similarity in bacterial composition and inferred functions were found among identical clones of E. brevipes compared to other clonal genotypes or unique non-clonal E. radiata genotypes. Additionally, bacterial diversity and composition differed significantly between the two morphs and were related with one morphological trait in E. brevipes (haptera). Thus, factors regulated by the host genotype (e.g. secondary metabolite production) likely drive differences in microbial communities between morphs. The strong association of genotype and microbiome found here highlights the importance of genetic relatedness of hosts in determining variability in their bacterial symbionts.
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Affiliation(s)
- Sebastian Vadillo Gonzalez
- The University of Sydney, School of Life and Environmental Sciences, Sydney, New South Wales, Australia
- Sydney Institute of Marine Science, Mosman, New South Wales, Australia
| | - Sofie Vranken
- UWA Oceans Institute & School of Biological Sciences, University of Western Australia, Crowley, Western Australia, Australia
| | - Melinda A Coleman
- UWA Oceans Institute & School of Biological Sciences, University of Western Australia, Crowley, Western Australia, Australia
- New South Wales Fisheries, Department of Primary Industries, National Marine Science Centre, Coffs Harbour, New South Wales, Australia
| | - Thomas Wernberg
- UWA Oceans Institute & School of Biological Sciences, University of Western Australia, Crowley, Western Australia, Australia
- Institute of Marine Research, Floedevigen Research Station, His, Norway
| | - Peter D Steinberg
- Sydney Institute of Marine Science, Mosman, New South Wales, Australia
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Ezequiel M Marzinelli
- The University of Sydney, School of Life and Environmental Sciences, Sydney, New South Wales, Australia
- Sydney Institute of Marine Science, Mosman, New South Wales, Australia
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore City, Singapore
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Guo M, Xie S, Wang J, Zhang Y, He X, Luo P, Deng J, Zhou C, Qin J, Huang C, Zhang L. The difference in the composition of gut microbiota is greater among bats of different phylogenies than among those with different dietary habits. Front Microbiol 2023; 14:1207482. [PMID: 37577418 PMCID: PMC10419214 DOI: 10.3389/fmicb.2023.1207482] [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: 04/17/2023] [Accepted: 07/10/2023] [Indexed: 08/15/2023] Open
Abstract
Bats have a very long evolutionary history and are highly differentiated in their physiological functions. Results of recent studies suggest effects of some host factors (e.g., phylogeny and dietary habit) on their gut microbiota. In this study, we examined the gut microbial compositions of 18 different species of bats. Results showed that Firmicutes, Gammaproteobacteria, and Actinobacteria were dominant in all fecal samples of bats. However, the difference in the diversity of gut microbiota among bats of different phylogenies was notable (p = 0.06). Various species of Firmicutes, Actinobacteria, and Gammaproteobacteria were found to contribute to the majority of variations in gut microbiota of all bats examined, and Aeromonas species were much more abundant in bats that feed on both insects and fish than in those of insectivores. The abundance of various species of Clostridium, Euryarchaeota, and ancient bacterial phyla was found to vary among bats of different phylogenies, and various species of Vibrio varied significantly among bats with different dietary habits. No significant difference in the number of genes involved in various metabolic pathways was detected among bats of different phylogenies, but the abundance of genes involved in 5 metabolic pathways, including transcription; replication, recombination, and repair; amino acid transport and metabolism; and signal transduction mechanisms, was different among bats with different dietary habits. The abundance of genes in 3 metabolic pathways, including those involved in stilbenoid, diarylheptanoid, and gingerol biosynthesis, was found to be different between insectivorous bats and bats that feed on both insects and fish. Results of this study suggest a weak association between dietary habit and gut microbiota in most bats but a notable difference in gut microbiota among bats of different phylogenies.
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Affiliation(s)
- Min Guo
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
| | - Siwei Xie
- College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China
| | - Junhua Wang
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
| | - Yuzhi Zhang
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
| | - Xiangyang He
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
| | - Pengfei Luo
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
| | - Jin Deng
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
- College of Life Sciences, South China Normal University, Guangzhou, China
| | - Chunhui Zhou
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
| | - Jiao Qin
- Institute of Plant Protection, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Chen Huang
- Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
| | - Libiao Zhang
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China
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Gryaznova M, Smirnova Y, Burakova I, Morozova P, Nesterova E, Gladkikh M, Mikhaylov E, Syromyatnikov M. Characteristics of the Fecal Microbiome of Piglets with Diarrhea Identified Using Shotgun Metagenomics Sequencing. Animals (Basel) 2023; 13:2303. [PMID: 37508080 PMCID: PMC10376196 DOI: 10.3390/ani13142303] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/05/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Diarrhea in piglets is one of the most common diseases leading to high mortality and, as a result, to economic losses. Shotgun metagenomic sequencing was performed on the DNBSEQ-G50, MGI system to study the role of the fecal microbiome in the development of diarrhea in newborn piglets. Analysis of the study data showed that the composition of the fecal microbiome at the level of bacteria and fungi did not differ in piglets with diarrhea from the healthy group. Bacteria belonging to the phyla Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and Fusobacteria were the most abundant. However, a higher level of bacterial alpha diversity was observed in the group of piglets with diarrhea, which may be due to dysbacteriosis and inflammation. The study of the virome showed the difference between the two types of phages: Bacteroides B40-8 prevailed in diseased piglets, while Escherichia virus BP4 was found in greater numbers in healthy piglets. The results of our study suggest that the association between the fecal microbiome and susceptibility to diarrhea in suckling piglets may have been previously overestimated.
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Affiliation(s)
- Mariya Gryaznova
- Laboratory of Metagenomics and Food Biotechnology, Voronezh State University of Engineering Technologies, 394036 Voronezh, Russia
- Department of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia
| | - Yuliya Smirnova
- Laboratory of Metagenomics and Food Biotechnology, Voronezh State University of Engineering Technologies, 394036 Voronezh, Russia
- Department of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia
| | - Inna Burakova
- Laboratory of Metagenomics and Food Biotechnology, Voronezh State University of Engineering Technologies, 394036 Voronezh, Russia
| | - Polina Morozova
- Laboratory of Metagenomics and Food Biotechnology, Voronezh State University of Engineering Technologies, 394036 Voronezh, Russia
- Department of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia
| | - Ekaterina Nesterova
- Laboratory of Metagenomics and Food Biotechnology, Voronezh State University of Engineering Technologies, 394036 Voronezh, Russia
- Department of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia
| | - Mariya Gladkikh
- Laboratory of Metagenomics and Food Biotechnology, Voronezh State University of Engineering Technologies, 394036 Voronezh, Russia
| | - Evgeny Mikhaylov
- FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, 394061 Voronezh, Russia
| | - Mikhail Syromyatnikov
- Laboratory of Metagenomics and Food Biotechnology, Voronezh State University of Engineering Technologies, 394036 Voronezh, Russia
- Department of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia
- FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, 394061 Voronezh, Russia
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Nagarajan A, Scoggin K, Gupta J, Threadgill DW, Andrews-Polymenis HL. Using the collaborative cross to identify the role of host genetics in defining the murine gut microbiome. MICROBIOME 2023; 11:149. [PMID: 37420306 PMCID: PMC10329326 DOI: 10.1186/s40168-023-01552-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 04/18/2023] [Indexed: 07/09/2023]
Abstract
BACKGROUND The human gut microbiota is a complex community comprised of trillions of bacteria and is critical for the digestion and absorption of nutrients. Bacterial communities of the intestinal microbiota influence the development of several conditions and diseases. We studied the effect of host genetics on gut microbial composition using Collaborative Cross (CC) mice. CC mice are a panel of mice that are genetically diverse across strains, but genetically identical within a given strain allowing repetition and deeper analysis than is possible with other collections of genetically diverse mice. RESULTS 16S rRNA from the feces of 167 mice from 28 different CC strains was sequenced and analyzed using the Qiime2 pipeline. We observed a large variance in the bacterial composition across CC strains starting at the phylum level. Using bacterial composition data, we identified 17 significant Quantitative Trait Loci (QTL) linked to 14 genera on 9 different mouse chromosomes. Genes within these intervals were analyzed for significant association with pathways and the previously known human GWAS database using Enrichr analysis and Genecards database. Multiple host genes involved in obesity, glucose homeostasis, immunity, neurological diseases, and many other protein-coding genes located in these regions may play roles in determining the composition of the gut microbiota. A subset of these CC mice was infected with Salmonella Typhimurium. Using infection outcome data, an increase in abundance of genus Lachnospiraceae and decrease in genus Parasutterella correlated with positive health outcomes after infection. Machine learning classifiers accurately predicted the CC strain and the infection outcome using pre-infection bacterial composition data from the feces. CONCLUSION Our study supports the hypothesis that multiple host genes influence the gut microbiome composition and homeostasis, and that certain organisms may influence health outcomes after S. Typhimurium infection. Video Abstract.
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Affiliation(s)
- Aravindh Nagarajan
- Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX USA
- Department of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX USA
| | - Kristin Scoggin
- Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX USA
- Department of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX USA
- Department of Molecular and Cellular Medicine, Texas A&M University, College Station, TX USA
| | - Jyotsana Gupta
- Department of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX USA
| | - David W. Threadgill
- Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX USA
- Department of Molecular and Cellular Medicine, Texas A&M University, College Station, TX USA
- Texas A&M Institute for Genome Sciences and Society, Texas A&M University, College Station, TX USA
- Department of Biochemistry & Biophysics and Department of Nutrition, Texas A&M University, College Station, TX USA
| | - Helene L. Andrews-Polymenis
- Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX USA
- Department of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX USA
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41
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Lynch JB, Gonzalez EL, Choy K, Faull KF, Jewell T, Arellano A, Liang J, Yu KB, Paramo J, Hsiao EY. Gut microbiota Turicibacter strains differentially modify bile acids and host lipids. Nat Commun 2023; 14:3669. [PMID: 37339963 DOI: 10.1038/s41467-023-39403-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/07/2023] [Indexed: 06/22/2023] Open
Abstract
Bacteria from the Turicibacter genus are prominent members of the mammalian gut microbiota and correlate with alterations in dietary fat and body weight, but the specific connections between these symbionts and host physiology are poorly understood. To address this knowledge gap, we characterize a diverse set of mouse- and human-derived Turicibacter isolates, and find they group into clades that differ in their transformations of specific bile acids. We identify Turicibacter bile salt hydrolases that confer strain-specific differences in bile deconjugation. Using male and female gnotobiotic mice, we find colonization with individual Turicibacter strains leads to changes in host bile acid profiles, generally aligning with those produced in vitro. Further, colonizing mice with another bacterium exogenously expressing bile-modifying genes from Turicibacter strains decreases serum cholesterol, triglycerides, and adipose tissue mass. This identifies genes that enable Turicibacter strains to modify host bile acids and lipid metabolism, and positions Turicibacter bacteria as modulators of host fat biology.
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Affiliation(s)
- Jonathan B Lynch
- Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
| | - Erika L Gonzalez
- Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Kayli Choy
- Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Kym F Faull
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Pasarow Mass Spectrometry Laboratory, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | | | | | | | - Kristie B Yu
- Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jorge Paramo
- Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Elaine Y Hsiao
- Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
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42
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Herder EA, Skeen HR, Lutz HL, Hird SM. Body Size Poorly Predicts Host-Associated Microbial Diversity in Wild Birds. Microbiol Spectr 2023; 11:e0374922. [PMID: 37039681 PMCID: PMC10269867 DOI: 10.1128/spectrum.03749-22] [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: 09/14/2022] [Accepted: 03/12/2023] [Indexed: 04/12/2023] Open
Abstract
The composition and diversity of avian microbiota are shaped by many factors, including host ecologies and environmental variables. In this study, we examine microbial diversity across 214 bird species sampled in Malawi at five major body sites: blood, buccal cavity, gizzard, intestinal tract, and cloaca. Microbial community dissimilarity differed significantly across body sites. Ecological theory predicts that as area increases, so does diversity. We tested the hypothesis that avian microbiota diversity is correlated with body size, used as a proxy for area, using comparative phylogenetic methods. Using Pagel's lambda, we found that few microbial diversity metrics had significant phylogenetic signals. Phylogenetic generalized least squares identified a significant but weak negative correlation between host size and microbial diversity of the blood and a similarly significant but weakly positive correlation between the cloacal microbiota and host size among birds within the order Passeriformes. Phylosymbiosis, or a congruent branching pattern between host phylogeny and their associated microbiota similarity, was tested and found to be weak or not significant in four of the body sites with sufficient sample size (blood, buccal, cloaca, and intestines). Taken together, these results suggest that the avian microbiome is highly variable, with microbiota diversity demonstrating few clear associations with bird size. Finally, the blood microbiota have a unique relationship with host size. IMPORTANCE All animals coexist and interact with microorganisms, including bacteria, archaea, microscopic eukaryotes, and viruses. These microorganisms can have an enormous influence on the biology and health of macro-organisms. However, the general rules that govern these host-associated microbial communities are poorly described, especially in wild animals. In this paper, we investigate the microbial communities of over 200 species of birds from Malawi and characterize five body site bacterial microbiota in depth. Because the evolutionary relationships of the host underlie the relationship between any host-associated microbiota relationships, we use phylogenetic comparative methods to account for this relationship. We find that the size of a host (the bird) and the diversity and composition of the microbiota are largely uncorrelated. We also find that the general pattern of similarity between host phylogeny and microbiota similarity is weak. Together, we see that bird microbiota are not strongly tied to host size or evolutionary history.
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Affiliation(s)
- Elizabeth A. Herder
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut, USA
| | - Heather R. Skeen
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut, USA
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut, USA
- Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, Illinois, USA
| | - Holly L. Lutz
- Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, Illinois, USA
- Department of Pediatrics, UC San Diego School of Medicine, La Jolla, California, USA
| | - Sarah M. Hird
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, Connecticut, USA
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43
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Cai Y, Liu Y, Wu Z, Wang J, Zhang X. Effects of Diet and Exercise on Circadian Rhythm: Role of Gut Microbiota in Immune and Metabolic Systems. Nutrients 2023; 15:2743. [PMID: 37375647 DOI: 10.3390/nu15122743] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/12/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
A close relationship exists between the intestinal microbiota and the circadian rhythm, which is mainly regulated by the central-biological-clock system and the peripheral-biological-clock system. At the same time, the intestinal flora also reflects a certain rhythmic oscillation. A poor diet and sedentary lifestyle will lead to immune and metabolic diseases. A large number of studies have shown that the human body can be influenced in its immune regulation, energy metabolism and expression of biological-clock genes through diet, including fasting, and exercise, with intestinal flora as the vector, thereby reducing the incidence rates of diseases. This article mainly discusses the effects of diet and exercise on the intestinal flora and the immune and metabolic systems from the perspective of the circadian rhythm, which provides a more effective way to prevent immune and metabolic diseases by modulating intestinal microbiota.
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Affiliation(s)
- Yidan Cai
- Department of Food Science and Engineering, Ningbo University, Ningbo 315211, China
| | - Yanan Liu
- Department of Food Science and Engineering, Ningbo University, Ningbo 315211, China
| | - Zufang Wu
- Department of Food Science and Engineering, Ningbo University, Ningbo 315211, China
| | - Jing Wang
- China Rural Technology Development Center, Beijing 100045, China
| | - Xin Zhang
- Department of Food Science and Engineering, Ningbo University, Ningbo 315211, China
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Gonzalez-Recio O, Scrobota N, López-Paredes J, Saborío-Montero A, Fernández A, López de Maturana E, Villanueva B, Goiri I, Atxaerandio R, García-Rodríguez A. Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability. Animal 2023; 17 Suppl 2:100780. [PMID: 37032282 DOI: 10.1016/j.animal.2023.100780] [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: 09/17/2022] [Revised: 03/06/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023] Open
Abstract
Interest on methane emissions from livestock has increased in later years as it is an anthropogenic greenhouse gas with an important warming potential. The rumen microbiota has a large influence on the production of enteric methane. Animals harbour a second genome consisting of microbes, collectively referred to as the "microbiome". The rumen microbial community plays an important role in feed digestion, feed efficiency, methane emission and health status. This review recaps the current knowledge on the genetic control that the cow exerts on the rumen microbiota composition. Heritability estimates for the rumen microbiota composition range between 0.05 and 0.40 in the literature, depending on the taxonomical group or microbial gene function. Variables depicting microbial diversity or aggregating microbial information are also heritable within the same range. This study includes a genome-wide association analysis on the microbiota composition, considering the relative abundance of some microbial taxa previously associated to enteric methane in dairy cattle (Archaea, Dialister, Entodinium, Eukaryota, Lentisphaerae, Methanobrevibacter, Neocallimastix, Prevotella and Stentor). Host genomic regions associated with the relative abundance of these microbial taxa were identified after Benjamini-Hoschberg correction (Padj < 0.05). An in-silico functional analysis using FUMA and DAVID online tools revealed that these gene sets were enriched in tissues like brain cortex, brain amigdala, pituitary, salivary glands and other parts of the digestive system, and are related to appetite, satiety and digestion. These results allow us to have greater knowledge about the composition and function of the rumen microbiome in cattle. The state-of-the art strategies to include methane traits in the selection indices in dairy cattle populations is reviewed. Several strategies to include methane traits in the selection indices have been studied worldwide, using bioeconomical models or economic functions under theoretical frameworks. However, their incorporation in the breeding programmes is still scarce. Some potential strategies to include methane traits in the selection indices of dairy cattle population are presented. Future selection indices will need to increase the weight of traits related to methane emissions and sustainability. This review will serve as a compendium of the current state of the art in genetic strategies to reduce methane emissions in dairy cattle.
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Affiliation(s)
| | - Natalia Scrobota
- Departamento de Mejora Genética Animal, INIA-CSIC, 28040 Madrid, Spain; Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Javier López-Paredes
- Confederación de Asociaciones de Frisona Española (CONAFE), Ctra. de Andalucía km 23600 Valdemoro, 28340 Madrid, Spain
| | - Alejandro Saborío-Montero
- Escuela de Zootecnia y Centro de Investigación en Nutrición Animal, Universidad de Costa Rica, 11501 San José, Costa Rica; Posgrado Regional en Ciencias Veterinarias Tropicales, Universidad Nacional de Costa Rica, 40104 Heredia, Costa Rica
| | | | - Evangelina López de Maturana
- Universidad San Pablo-CEU, CEU Universities, Madrid, Spain; Institute of Applied Molecular Medicine (IMMA), Department of Basic Medical Sciences. Facultad de Medicina. Universidad San Pablo-CEU, CEU Universities, ARADyAL, Madrid, Spain; Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | | | - Idoia Goiri
- NEIKER - Instituto Vasco de Investigación y Desarrollo Agrario, Basque Research and Technology Alliance (BRTA), Campus Agroalimentario de Arkaute s/n, 01192 Arkaute, Spain
| | - Raquel Atxaerandio
- NEIKER - Instituto Vasco de Investigación y Desarrollo Agrario, Basque Research and Technology Alliance (BRTA), Campus Agroalimentario de Arkaute s/n, 01192 Arkaute, Spain
| | - Aser García-Rodríguez
- NEIKER - Instituto Vasco de Investigación y Desarrollo Agrario, Basque Research and Technology Alliance (BRTA), Campus Agroalimentario de Arkaute s/n, 01192 Arkaute, Spain
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45
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Chung CJ, Hermes BM, Gupta Y, Ibrahim S, Belheouane M, Baines JF. Genome-wide mapping of gene-microbe interactions in the murine lung microbiota based on quantitative microbial profiling. Anim Microbiome 2023; 5:31. [PMID: 37264412 DOI: 10.1186/s42523-023-00250-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/10/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND Mammalian lungs comprise a complex microbial ecosystem that interacts with host physiology. Previous research demonstrates that the environment significantly contributes to bacterial community structure in the upper and lower respiratory tract. However, the influence of host genetics on the makeup of lung microbiota remains ambiguous, largely due to technical difficulties related to sampling, as well as challenges inherent to investigating low biomass communities. Thus, innovative approaches are warranted to clarify host-microbe interactions in the mammalian lung. RESULTS Here, we aimed to characterize host genomic regions associated with lung bacterial traits in an advanced intercross mouse line (AIL). By performing quantitative microbial profiling (QMP) using the highly precise method of droplet digital PCR (ddPCR), we refined 16S rRNA gene amplicon-based traits to identify and map candidate lung-resident taxa using a QTL mapping approach. In addition, the two abundant core taxa Lactobacillus and Pelomonas were chosen for independent microbial phenotyping using genus-specific primers. In total, this revealed seven significant loci involving eight bacterial traits. The narrow confidence intervals afforded by the AIL population allowed us to identify several promising candidate genes related to immune and inflammatory responses, cell apoptosis, DNA repair, and lung functioning and disease susceptibility. Interestingly, one genomic region associated with Lactobacillus abundance contains the well-known anti-inflammatory cytokine Il10, which we confirmed through the analysis of Il10 knockout mice. CONCLUSIONS Our study provides the first evidence for a role of host genetic variation contributing to variation in the lung microbiota. This was in large part made possible through the careful curation of 16S rRNA gene amplicon data and the incorporation of a QMP-based methods. This approach to evaluating the low biomass lung environment opens new avenues for advancing lung microbiome research using animal models.
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Affiliation(s)
- C J Chung
- Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306, Plön, Germany
- Section of Evolutionary Medicine, Institute for Experimental Medicine, Kiel University, Arnold-Heller-Str. 3, 24105, Kiel, Germany
| | - B M Hermes
- Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306, Plön, Germany
- Section of Evolutionary Medicine, Institute for Experimental Medicine, Kiel University, Arnold-Heller-Str. 3, 24105, Kiel, Germany
| | - Y Gupta
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - S Ibrahim
- College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, UAE
| | - Meriem Belheouane
- Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306, Plön, Germany.
- Section of Evolutionary Medicine, Institute for Experimental Medicine, Kiel University, Arnold-Heller-Str. 3, 24105, Kiel, Germany.
- Research Center Borstel, Evolution of the Resistome, Leibniz Lung Center, Parkallee 1-40, 23845, Borstel, Germany.
| | - John F Baines
- Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306, Plön, Germany.
- Section of Evolutionary Medicine, Institute for Experimental Medicine, Kiel University, Arnold-Heller-Str. 3, 24105, Kiel, Germany.
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Wanelik KM, Raulo A, Troitsky T, Husby A, Knowles SCL. Maternal transmission gives way to social transmission during gut microbiota assembly in wild mice. Anim Microbiome 2023; 5:29. [PMID: 37259168 DOI: 10.1186/s42523-023-00247-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/17/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND The mammalian gut microbiota influences a wide array of phenotypes which are relevant to fitness, yet knowledge about the transmission routes by which gut microbes colonise hosts in natural populations remains limited. Here, we use an intensively studied wild population of wood mice (Apodemus sylvaticus) to examine how vertical (maternal) and horizontal (social) transmission routes influence gut microbiota composition throughout life. RESULTS We identify independent signals of maternal transmission (sharing of taxa between a mother and her offspring) and social transmission (sharing of taxa predicted by the social network), whose relative magnitudes shift as hosts age. In early life, gut microbiota composition is predicted by both maternal and social relationships, but by adulthood the impact of maternal transmission becomes undetectable, leaving only a signal of social transmission. By exploring which taxa drive the maternal transmission signal, we identify a candidate maternally-transmitted bacterial family in wood mice, the Muribaculaceae. CONCLUSION Overall, our findings point to an ontogenetically shifting transmission landscape in wild mice, with a mother's influence on microbiota composition waning as offspring age, while the relative impact of social contacts grows.
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Affiliation(s)
| | - Aura Raulo
- Department of Biology, University of Oxford, Oxford, UK
- Department of Computing, University of Turku, Turku, Finland
| | | | - Arild Husby
- Evolutionary Biology Centre, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
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Kedia S, Ahuja V. Human gut microbiome: A primer for the clinician. JGH Open 2023; 7:337-350. [PMID: 37265934 PMCID: PMC10230107 DOI: 10.1002/jgh3.12902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 12/14/2022] [Accepted: 04/01/2023] [Indexed: 06/03/2023]
Abstract
The human host gets tremendously influenced by a genetically and phenotypically distinct and heterogeneous constellation of microbial species-the human microbiome-the gut being one of the most densely populated and characterized site for these organisms. Microbiome science has advanced rapidly, technically with respect to the analytical methods and biologically with respect to its mechanistic influence in health and disease states. A clinician conducting a microbiome study should be aware of the nuances related to microbiome research, especially with respect to the technical and biological factors that can influence the interpretation of research outcomes. Hence, this review is an attempt to detail these aspects of the human gut microbiome, with emphasis on its determinants in a healthy state.
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Affiliation(s)
- Saurabh Kedia
- Department of GastroenterologyAll India Institute of Medical SciencesNew DelhiIndia
| | - Vineet Ahuja
- Department of GastroenterologyAll India Institute of Medical SciencesNew DelhiIndia
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Calle-García J, Ramayo-Caldas Y, Zingaretti LM, Quintanilla R, Ballester M, Pérez-Enciso M. On the holobiont 'predictome' of immunocompetence in pigs. Genet Sel Evol 2023; 55:29. [PMID: 37127575 PMCID: PMC10150480 DOI: 10.1186/s12711-023-00803-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 04/07/2023] [Indexed: 05/03/2023] Open
Abstract
BACKGROUND Gut microbial composition plays an important role in numerous traits, including immune response. Integration of host genomic information with microbiome data is a natural step in the prediction of complex traits, although methods to optimize this are still largely unexplored. In this paper, we assess the impact of different modelling strategies on the predictive capacity for six porcine immunocompetence traits when both genotype and microbiota data are available. METHODS We used phenotypic data on six immunity traits and the relative abundance of gut bacterial communities on 400 Duroc pigs that were genotyped for 70 k SNPs. We compared the predictive accuracy, defined as the correlation between predicted and observed phenotypes, of a wide catalogue of models: reproducing kernel Hilbert space (RKHS), Bayes C, and an ensemble method, using a range of priors and microbial clustering strategies. Combined (holobiont) models that include both genotype and microbiome data were compared with partial models that use one source of variation only. RESULTS Overall, holobiont models performed better than partial models. Host genotype was especially relevant for predicting adaptive immunity traits (i.e., concentration of immunoglobulins M and G), whereas microbial composition was important for predicting innate immunity traits (i.e., concentration of haptoglobin and C-reactive protein and lymphocyte phagocytic capacity). None of the models was uniformly best across all traits. We observed a greater variability in predictive accuracies across models when microbiability (the variance explained by the microbiome) was high. Clustering microbial abundances did not necessarily increase predictive accuracy. CONCLUSIONS Gut microbiota information is useful for predicting immunocompetence traits, especially those related to innate immunity. Modelling microbiome abundances deserves special attention when microbiability is high. Clustering microbial data for prediction is not recommended by default.
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Affiliation(s)
- Joan Calle-García
- Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, 08193, Bellaterra, Spain
| | - Yuliaxis Ramayo-Caldas
- Animal Breeding and Genetics Program, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Caldes de Montbui, 08140, Barcelona, Spain
| | - Laura M Zingaretti
- Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, 08193, Bellaterra, Spain
| | - Raquel Quintanilla
- Animal Breeding and Genetics Program, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Caldes de Montbui, 08140, Barcelona, Spain
| | - María Ballester
- Animal Breeding and Genetics Program, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Caldes de Montbui, 08140, Barcelona, Spain
| | - Miguel Pérez-Enciso
- Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, 08193, Bellaterra, Spain.
- ICREA, Passeig Lluis Companys 23, 08010, Barcelona, Spain.
- Corteva Agriscience, Virtual Location, Bergen op Zoom, Indianapolis, 4611 BB, Netherlands.
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49
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Qi S, Wang J, Zhang Y, Naz M, Afzal MR, Du D, Dai Z. Omics Approaches in Invasion Biology: Understanding Mechanisms and Impacts on Ecological Health. PLANTS (BASEL, SWITZERLAND) 2023; 12:plants12091860. [PMID: 37176919 PMCID: PMC10181282 DOI: 10.3390/plants12091860] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/21/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023]
Abstract
Invasive species and rapid climate change are affecting the control of new plant diseases and epidemics. To effectively manage these diseases under changing environmental conditions, a better understanding of pathophysiology with holistic approach is needed. Multiomics approaches can help us to understand the relationship between plants and microbes and construct predictive models for how they respond to environmental stresses. The application of omics methods enables the simultaneous analysis of plant hosts, soil, and microbiota, providing insights into their intricate relationships and the mechanisms underlying plant-microbe interactions. This can help in the development of novel strategies for enhancing plant health and improving soil ecosystem functions. The review proposes the use of omics methods to study the relationship between plant hosts, soil, and microbiota, with the aim of developing a new technique to regulate soil health. This approach can provide a comprehensive understanding of the mechanisms underlying plant-microbe interactions and contribute to the development of effective strategies for managing plant diseases and improving soil ecosystem functions. In conclusion, omics technologies offer an innovative and holistic approach to understanding plant-microbe interactions and their response to changing environmental conditions.
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Affiliation(s)
- Shanshan Qi
- School of Emergency Management, Jiangsu University, Zhenjiang 212013, China
- Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Jiahao Wang
- Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Yi Zhang
- Institute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
| | - Misbah Naz
- Institute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
| | - Muhammad Rahil Afzal
- Institute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
| | - Daolin Du
- Institute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
| | - Zhicong Dai
- School of Emergency Management, Jiangsu University, Zhenjiang 212013, China
- Institute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
- Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatment, Suzhou University of Science and Technology, Suzhou 215009, China
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Gates TJ, Yuan C, Shetty M, Kaiser T, Nelson AC, Chauhan A, Starr TK, Staley C, Subramanian S. Fecal Microbiota Restoration Modulates the Microbiome in Inflammation-Driven Colorectal Cancer. Cancers (Basel) 2023; 15:cancers15082260. [PMID: 37190186 DOI: 10.3390/cancers15082260] [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: 03/03/2023] [Revised: 03/29/2023] [Accepted: 04/07/2023] [Indexed: 05/17/2023] Open
Abstract
Chronic inflammation of the colon (colitis) is a known risk factor for inflammatory-driven colorectal cancers (id-CRCs), and intestinal microbiota has been implicated in the etiology of id-CRCs. Manipulation of the microbiome is a clinically viable therapeutic approach to limiting id-CRCs. To understand the microbiome changes that occur over time in id-CRCs, we used a mouse model of id-CRCs with the treatment of azoxymethane (AOM) and dextran sodium sulfate (DSS) and measured the microbiome over time. We included cohorts where the microbiome was restored using cage bedding swapping and where the microbiome was depleted using antibiotics to compare to untreated animals. We identified consistent increases in Akkermansia in mice receiving horizontal microbiome transfer (HMT) via cage bedding swapping, while the control cohort had consistent longitudinal increases in Anaeroplasma and Alistipes. Additionally, fecal lipocalin-2 (Lcn-2), a marker of intestinal inflammation, was elevated in unrestored animals compared to restored and antibiotic-treated counterparts following HMT. These observations suggest a potential role for Akkermansia, Anaeroplasma, and Alistipes in regulating colonic inflammation in id-CRCs.
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Affiliation(s)
- Travis J Gates
- Department of Molecular Pharmacology and Therapeutics, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Ce Yuan
- Department of Surgery, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Mihir Shetty
- Department of Obstetrics, Gynecology and Women's Health, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Thomas Kaiser
- Department of Surgery, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Andrew C Nelson
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Aastha Chauhan
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Timothy K Starr
- Department of Obstetrics, Gynecology and Women's Health, University of Minnesota Medical School, Minneapolis, MN 55455, USA
- Masonic Cancer Center, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Christopher Staley
- Department of Surgery, University of Minnesota Medical School, Minneapolis, MN 55455, USA
- Masonic Cancer Center, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Subbaya Subramanian
- Department of Surgery, University of Minnesota Medical School, Minneapolis, MN 55455, USA
- Masonic Cancer Center, University of Minnesota Medical School, Minneapolis, MN 55455, USA
- Center for Immunology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
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