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Degregori S, Wang X, Kommala A, Schulhof N, Moradi S, MacDonald A, Eblen K, Jukovich S, Smith E, Kelleher E, Suzuki K, Hall Z, Knight R, Amato KR. Comparative gut microbiome research through the lens of ecology: theoretical considerations and best practices. Biol Rev Camb Philos Soc 2024. [PMID: 39530277 DOI: 10.1111/brv.13161] [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: 02/07/2024] [Revised: 10/20/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024]
Abstract
Comparative approaches in animal gut microbiome research have revealed patterns of phylosymbiosis, dietary and physiological convergences, and environment-host interactions. However, most large-scale comparative studies, especially those that are highly cited, have focused on mammals, and efforts to integrate comparative approaches with existing ecological frameworks are lacking. While mammals serve as useful model organisms, developing generalised principles of how animal gut microbiomes are shaped and how these microbiomes interact bidirectionally with host ecology and evolution requires a more complete sampling of the animal kingdom. Here, we provide an overview of what past comparative studies have taught us about the gut microbiome, and how community ecology theory may help resolve certain contradictions in comparative gut microbiome research. We explore whether certain hypotheses are supported across clades, and how the disproportionate focus on mammals has introduced potential bias into gut microbiome theory. We then introduce a methodological solution by which public gut microbiome data of understudied hosts can be compiled and analysed in a comparative context. Our aggregation and analysis of 179 studies shows that generating data sets with rich host diversity is possible with public data and that key gut microbes associated with mammals are widespread across the animal kingdom. We also show the effects that sample size and taxonomic rank have on comparative gut microbiome studies and that results of multivariate analyses can vary significantly with these two parameters. While challenges remain in developing a universal model of the animal gut microbiome, we show that existing ecological frameworks can help bring us one step closer to integrating the gut microbiome into animal ecology and evolution.
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Affiliation(s)
- Samuel Degregori
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Xiaolin Wang
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Akhil Kommala
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Noah Schulhof
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Sadaf Moradi
- Department of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA, 90095, USA
| | - Allison MacDonald
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Kaitlin Eblen
- Department of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA, 90095, USA
| | - Sophia Jukovich
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Emma Smith
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Emily Kelleher
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Kota Suzuki
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Zoey Hall
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Katherine Ryan Amato
- Department of Anthropology, Northwestern University, 1810 Hinman Avenue, Evanston, IL, 60208, USA
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Suhr M, Fichtner-Grabowski FT, Seibel H, Bang C, Franke A, Schulz C, Hornburg SC. Effects of plant-based proteins and handling stress on intestinal mucus microbiota in rainbow trout. Sci Rep 2023; 13:22563. [PMID: 38110473 PMCID: PMC10728151 DOI: 10.1038/s41598-023-50071-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 12/14/2023] [Indexed: 12/20/2023] Open
Abstract
Via 16S rRNA gene amplicon sequencing, this study explores whether the gut mucus microbiota of rainbow trout is affected by the interaction of a plant-protein-based diet and a daily handling stressor (chasing with a fishing net) across two genetic lines (A, B). Initial body weights of fish from lines A and B were 124.7 g and 147.2 g, respectively. Fish were fed 1.5% of body weight per day for 59 days either of two experimental diets, differing in their fish meal [fishmeal-based diet (F): 35%, plant-based diet (V): 7%] and plant-based protein content (diet F: 47%, diet V: 73%). No diet- or stress-related effect on fish performance was observed at the end of the trial. However, we found significantly increased observed ASVs in the intestinal mucus of fish fed diet F compared to diet V. No significant differences in Shannon diversity could be observed between treatments. The autochthonous microbiota in fish fed with diet V was dominated by representatives of the genera Mycoplasma, Cetobacterium, and Ruminococcaceae, whereas Enterobacteriaceae and Photobacterium were significantly associated with diet F. The mucus bacteria in both genetic lines were significantly separated by diet, but neither by stress nor an interaction, as obtained via PERMANOVA. However, pairwise comparisons revealed that the diet effect was only significant in stressed fish. Therefore, our findings indicate that the mucus-associated microbiota is primarily modulated by the protein source, but this modulation is mediated by the stress status of the fish.
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Affiliation(s)
- Marvin Suhr
- Institute of Animal Nutrition and Physiology, Christian-Albrechts-University Kiel, Hermann-Rodewald-Straße 9, 24118, Kiel, Germany.
| | | | - Henrike Seibel
- Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering (IMTE), Hafentörn 3, 25761, Büsum, Germany
| | - Corinna Bang
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, University Hospital Schleswig-Holstein, Rosalind-Franklin-Str. 12, 24105, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, University Hospital Schleswig-Holstein, Rosalind-Franklin-Str. 12, 24105, Kiel, Germany
| | - Carsten Schulz
- Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering (IMTE), Hafentörn 3, 25761, Büsum, Germany
- Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Straße 6, 24118, Kiel, Germany
| | - Stéphanie C Hornburg
- Institute of Animal Nutrition and Physiology, Christian-Albrechts-University Kiel, Hermann-Rodewald-Straße 9, 24118, Kiel, Germany
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Yang Y, Qiu J, Wang X. Exploring the Dynamic of Bacterial Communities in Manila Clam ( Ruditapes philippinarum) During Refrigerated Storage. Front Microbiol 2022; 13:882629. [PMID: 35663902 PMCID: PMC9158497 DOI: 10.3389/fmicb.2022.882629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/22/2022] [Indexed: 12/29/2022] Open
Abstract
Microorganism contamination is one of the most important factors affecting the spoilage and food safety of Manila clams. This study aimed to gain insights into bacterial composition and the dynamic change of bacterial communities on retailed Manila clam during refrigerated storage within the edible period. High-throughput sequencing was conducted to monitor the bacterial population with the prolongation of storage time of Day 0, Day 1, and Day 3. Result demonstrated that phyla of Proteobacteria, Actinobacteriota, Acidobacteriota, and Chloroflexi composed the majority of bacterial communities during the whole observation process. Furthermore, the increase of Proteobacteria showed a positive correlation with the storage time, whereas Acidobacteriota and Chloroflexi continued to decline in storage. For genus annotation, none of genus obtained dominant population in storage. From Day 0 to Day 1, the genera of Streptomyces, Bradyrhizobium, and Mycobacterium significantly increased; meanwhile, 12 genera significantly decreased. Compared with samples at Day 0, a total of 15 genera significantly decreased with the reduced proportion ranging from 0.50 to 4.40% at Day 3. At the end of the storage, the genus Crossiella became the most redundant population. Both the richness and diversity decreased at the start of storage at Day 1, and then slightly increased at Day 3 was observed. Based on the result in this study, strategy targeting the increased bacteria could be tested to improve the consumption quality and safety of refrigerated clam.
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Affiliation(s)
| | | | - Xin Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
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Wang Q, Liu JH, Wen B, Gao JZ, Chen ZZ. Gut microbiota communities of reciprocal hybrids from koi (Cyprinus carpio) and goldfish (Carassius auratus) are more similar to koi than goldfish. J Appl Microbiol 2022; 133:960-971. [PMID: 35543337 DOI: 10.1111/jam.15616] [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: 12/18/2021] [Revised: 04/09/2022] [Accepted: 05/05/2022] [Indexed: 11/29/2022]
Abstract
AIMS To investigate the gut microbiota communities of reciprocal hybrids and inbred lines of koi (Cyprinus carpio) and goldfish (Carassius auratus), as well as the genetic effect of intestinal microbiota between hybrids and parents. METHODS AND RESULTS The reciprocal hybrids and inbred lines derived from the parents, koi and goldfish, were established. Then the bacterial 16S rRNA gene of intestinal contents was sequenced using Illumina Miseq PE300. Alpha diversity in the two types of hybrids was lower than inbred lines of koi or goldfish and was highest in goldfish, followed by koi. For beta diversity, microbial samples presented clear clusters and the two types of hybrids were more similar to koi than goldfish, indicating the gut microbiota of the reciprocal hybrids was more affected by koi. The dominant phyla were Proteobacteria, Actinobacteria and Firmicutes in koi, and Proteobacteria, Fusobacteria and Actinobacteria in goldfish, and Proteobacteria, Fusobacteria and Firmicutes in the reciprocal hybrids. In the case of Proteobacteria, the dominant classes were Alphaproteobacteria and Gammaproteobacteria in four fish. The dominant genera were norank_f_Rhizobiales_Incertae_Sedis and Plesiomonas in koi, Cetobacterium in goldfish, and Cetobacterium and ZOR0006 in the reciprocal hybrids. PICRUSt1 predictive function analysis showed that the reciprocal hybrids had lower abundance in the most functional categories than koi and goldfish. CONCLUSIONS The gut microbiota of reciprocal hybrids was more affected by koi. Two types of hybrids possessed the same dominated phyla and were different from the inbred lines of koi and goldfish. SIGNIFICANCE AND IMPACT OF THE STUDY It enhanced our understanding of gut microbiota of hybrid lines of goldfish and koi and provided a new perspective for the selective breeding of gut microbiota traits.
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Affiliation(s)
- Qin Wang
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China.,Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China
| | - Jun-Heng Liu
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China.,Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China
| | - Bin Wen
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China.,Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China
| | - Jian-Zhong Gao
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China.,Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China
| | - Zai-Zhong Chen
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China.,Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China.,Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China
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Zhao N, Guo J, Zhang B, Liu K, Liu Y, Shen Y, Li J. Heterogeneity of the Tissue-specific Mucosal Microbiome of Normal Grass Carp (Ctenopharyngodon idella). MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2022; 24:366-379. [PMID: 35303209 DOI: 10.1007/s10126-022-10113-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/02/2022] [Indexed: 06/14/2023]
Abstract
Microbiome plays key roles in the digestion, metabolism, and immunity of the grass carp (Ctenopharyngodon idella). Here, we characterized the normal microbiome of the intestinal contents (IC), skin mucus (SM), oral mucosa (OM), and gill mucosa (GM) of the grass carp, as well as the microbiome of the sidewall (SW) of the raising pool, using full-length 16S rRNA sequencing based on the PacBio platform in this specie for the first time. Twenty phyla, 38 classes, 130 families, 219 genera, and 291 species were classified. One hundred four common classified species might be core microbiota of grass carp. Proteobacteria, Bacteroides, and Cyanobacteria were the dominant phyla in the niche of grass carp. Proteobacteria and Bacteroides dominated the taxonomic composition in the SM, GM, and OM, while Proteobacteria, Planctomycetota, and Cyanobacteria preponderated in the IC and SW groups. Microbiota of IC exhibited higher alpha diversity indices. The microbial communities clustered either in SW or the niche from grass carp, significantly tighter in the SW, based on Bray-Curtis distances (P < 0.05). SM, GM, and OM were similar in microbial composition but were significantly different from IC and SW, while IC had similarity with SW due to their common Cyanobacteria (P < 0.05). Differences were also reflected by niche-specific and differentially abundant microorganisms such as Noviherbaspirillum in the SM and Rhodopseudomonas palustris, Mycobacterium fortuitum, and Acinetobacter schindleri in GM. Significantly raised gene expression was found in IC and SM associated with cell cycle control, cell division, chromosome, coenzyme transport and metabolism, replication, recombination and repair, cell motility, post-translational modification, signal transduction mechanisms, intracellular trafficking, secretion, and vesicles by PICRUSt. This work may be of great value for understanding of fish-microbial co-workshops, especially in different niche of grass carp.
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Affiliation(s)
- Na Zhao
- Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Zhanjiang, China
| | - Jiamin Guo
- Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China
| | - Bo Zhang
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Zhanjiang, China
| | - Kai Liu
- Hangzhou Academy of Agricultural Sciences, Hangzhou, 310024, China
| | - Yuting Liu
- Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China
| | - Yubang Shen
- Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China.
- College of Fisheries and Life Science, Shanghai Engineering Research Centre of Aquaculture, Shanghai Ocean University, Shanghai, 201306, China.
| | - Jiale Li
- Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China.
- College of Fisheries and Life Science, Shanghai Engineering Research Centre of Aquaculture, Shanghai Ocean University, Shanghai, 201306, China.
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Bisesi JH, Adamovsky O, Martyniuk CJ. Recent insights from comparative animal microbiomics. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2021; 40:100880. [PMID: 34304147 DOI: 10.1016/j.cbd.2021.100880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Joseph H Bisesi
- Department of Environmental and Global Health and Center for Environmental and Human Toxicology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Ondrej Adamovsky
- Research Centre for Toxic Compounds in the Environment (RECETOX), Masaryk University, Kamenice 753/5, Brno, Czech Republic
| | - Christopher J Martyniuk
- Department of Physiological Sciences and Center for Environmental and Human Toxicology, UF Genetics Institute, College of Veterinary Medicine, University of Florida, Gainesville, FL 32611, USA.
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