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Brauer VS, Voskuhl L, Mohammadian S, Pannekens M, Haque S, Meckenstock RU. Imprints of ecological processes in the taxonomic core community: an analysis of naturally replicated microbial communities enclosed in oil. FEMS Microbiol Ecol 2024; 100:fiae074. [PMID: 38734895 PMCID: PMC11110866 DOI: 10.1093/femsec/fiae074] [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: 09/08/2023] [Revised: 03/02/2024] [Accepted: 05/03/2024] [Indexed: 05/13/2024] Open
Abstract
It is widely assumed that a taxonomic core community emerges among microbial communities from similar habitats because similar environments select for the same taxa bearing the same traits. Yet, a core community itself is no indicator of selection because it may also arise from dispersal and neutral drift, i.e. by chance. Here, we hypothesize that a core community produced by either selection or chance processes should be distinguishable. While dispersal and drift should produce core communities with similar relative taxon abundances, especially when the proportional core community, i.e. the sum of the relative abundances of the core taxa, is large, selection may produce variable relative abundances. We analyzed the core community of 16S rRNA gene sequences of 193 microbial communities occurring in tiny water droplets enclosed in heavy oil from the Pitch Lake, Trinidad and Tobago. These communities revealed highly variable relative abundances along with a large proportional core community (68.0 ± 19.9%). A dispersal-drift null model predicted a negative relationship of proportional core community and compositional variability along a range of dispersal probabilities and was largely inconsistent with the observed data, suggesting a major role of selection for shaping the water droplet communities in the Pitch Lake.
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Affiliation(s)
- Verena S Brauer
- Aquatic Microbiology, Environmental Microbiology and Biotechnology, Faculty of Chemistry, University of Duisburg-Essen, 45141 Essen, Germany
- Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, 45141 Essen, Germany
| | - Lisa Voskuhl
- Aquatic Microbiology, Environmental Microbiology and Biotechnology, Faculty of Chemistry, University of Duisburg-Essen, 45141 Essen, Germany
| | - Sadjad Mohammadian
- Aquatic Microbiology, Environmental Microbiology and Biotechnology, Faculty of Chemistry, University of Duisburg-Essen, 45141 Essen, Germany
| | - Mark Pannekens
- Aquatic Microbiology, Environmental Microbiology and Biotechnology, Faculty of Chemistry, University of Duisburg-Essen, 45141 Essen, Germany
- IWW Water Center, 45476 Mülheim an der Ruhr, Germany
| | - Shirin Haque
- Department of Physics, Faculty of Science and Technology, The University of the West Indies, St. Augustine, Trinidad and Tobago
| | - Rainer U Meckenstock
- Aquatic Microbiology, Environmental Microbiology and Biotechnology, Faculty of Chemistry, University of Duisburg-Essen, 45141 Essen, Germany
- Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, 45141 Essen, Germany
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Liu X, Song Y, Ni T, Yang Y, Ma B, Huang T, Chen S, Zhang H. Ecological evolution of algae in connected reservoirs under the influence of water transfer: Algal density, community structure, and assembly processes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:170086. [PMID: 38232825 DOI: 10.1016/j.scitotenv.2024.170086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/19/2024]
Abstract
Reservoir connectivity provides a solution for regional water shortages. Understanding the water quality of reservoirs and the response of algal communities to water transfer could provide the basis for a long-term evolutionary model of reservoirs. In this study, a water-algal community model was established to study the effects of water transfer on water quality and algal communities in reservoirs. The results showed that water transfer significantly decreased total nitrogen and nitrate concentrations. However, the water transfer resulted in an increase in the CODMn concentration and conductivity in the receiving reservoir. Additionally, the algal density and chlorophyll-a (chl-a) concentration showed an increase with water transfer. Bacillariophyta, Cyanophyta, and Chlorophyta were the dominant algal phyllum in all three reservoirs. Water transfer induced the evolution of the algal community by driving changes in the chemical parameters of the receiving reservoir and led to more complex relationships within the algal community. The effects of stochastic processes on algal communities were also enhanced in the receiving reservoirs. These results provide specific information for water quality safety management and eutrophication prevention in connected reservoirs.
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Affiliation(s)
- Xiang Liu
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China
| | - Yutong Song
- School of Future Technology, Xi'an University of Architecture and Technology, Xi'an, China
| | - Tongchao Ni
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China
| | - Yansong Yang
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China
| | - Ben Ma
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China
| | - Tinglin Huang
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China
| | - Shengnan Chen
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China.
| | - Haihan Zhang
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China.
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Pearman WS, Duffy GA, Liu XP, Gemmell NJ, Morales SE, Fraser CI. Macroalgal microbiome biogeography is shaped by environmental drivers rather than geographical distance. ANNALS OF BOTANY 2024; 133:169-182. [PMID: 37804485 PMCID: PMC10921836 DOI: 10.1093/aob/mcad151] [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: 07/06/2023] [Accepted: 10/06/2023] [Indexed: 10/09/2023]
Abstract
BACKGROUND AND AIMS Contrasting patterns of host and microbiome biogeography can provide insight into the drivers of microbial community assembly. Distance-decay relationships are a classic biogeographical pattern shaped by interactions between selective and non-selective processes. Joint biogeography of microbiomes and their hosts is of increasing interest owing to the potential for microbiome-facilitated adaptation. METHODS In this study, we examine the coupled biogeography of the model macroalga Durvillaea and its microbiome using a combination of genotyping by sequencing (host) and 16S rRNA amplicon sequencing (microbiome). Alongside these approaches, we use environmental data to characterize the relationship between the microbiome, the host, and the environment. KEY RESULTS We show that although the host and microbiome exhibit shared biogeographical structure, these arise from different processes, with host biogeography showing classic signs of geographical distance decay, but with the microbiome showing environmental distance decay. Examination of microbial subcommunities, defined by abundance, revealed that the abundance of microbes is linked to environmental selection. As microbes become less common, the dominant ecological processes shift away from selective processes and towards neutral processes. Contrary to expectations, we found that ecological drift does not promote structuring of the microbiome. CONCLUSIONS Our results suggest that although host macroalgae exhibit a relatively 'typical' biogeographical pattern of declining similarity with increasing geographical distance, the microbiome is more variable and is shaped primarily by environmental conditions. Our findings suggest that the Baas Becking hypothesis of 'everything is everywhere, the environment selects' might be a useful hypothesis to understand the biogeography of macroalgal microbiomes. As environmental conditions change in response to anthropogenic influences, the processes structuring the microbiome of macroalgae might shift, whereas those governing the host biogeography are less likely to change. As a result, increasingly decoupled host-microbe biogeography might be observed in response to such human influences.
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Affiliation(s)
- William S Pearman
- Department of Marine Science, University of Otago, New Zealand
- Department of Anatomy, School of Biomedical Sciences, University of Otago, New Zealand
- Department of Microbiology & Immunology, School of Biomedical Sciences, University of Otago, New Zealand
| | - Grant A Duffy
- Department of Marine Science, University of Otago, New Zealand
| | - Xiaoyue P Liu
- Department of Marine Science, University of Otago, New Zealand
| | - Neil J Gemmell
- Department of Anatomy, School of Biomedical Sciences, University of Otago, New Zealand
| | - Sergio E Morales
- Department of Microbiology & Immunology, School of Biomedical Sciences, University of Otago, New Zealand
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Sun X, Han B, Han Q, Yu Q, Wang S, Feng J, Feng T, Li X, Zhang S, Li H. Similarity of Chinese and Pakistani oral microbiome. Antonie Van Leeuwenhoek 2024; 117:38. [PMID: 38372789 DOI: 10.1007/s10482-024-01933-5] [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: 11/22/2023] [Accepted: 01/23/2024] [Indexed: 02/20/2024]
Abstract
Oral microbiota is vital for human health and can be affected by various factors (i.e. diets, ethnicity). However, few studies have compared oral microbiota of individuals from different nationalities in the same environment. Here, we explored the assembly and interaction of oral microbial communities of Chinese and Pakistanis in one university. Firmicutes and Proteobacteria were the predominant microorganisms in the oral cavity of Chinese and Pakistanis. Streptococcus and Neisseria were the dominant genera of China, while Streptococcus and Haemophilus were the dominant genera of Pakistanis. In addition, the oral community membership and structure were not influenced by season, Chinese/Pakistani student and gender, reflecting the stability of the human oral microbiome. The beta diversity of oral microbiomes between Chinese and Pakistanis significantly differed in winter, but not in spring. The alpha diversity of Chinese students and Pakistani students was similar. Moreover, oral microbial community of both Chinese and Pakistani students was mainly driven by stochastic processes. The microbial network of Chinese was more complexity and stability than that of Pakistanis. Our study uncovers the characteristics of human oral microbiota, which is of great significance for oral and human health.
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Affiliation(s)
- Xiaofang Sun
- Institute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Binghua Han
- Institute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Qian Han
- Institute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Qiaoling Yu
- State Key Laboratory of Grassland Agro-Ecosystems, Center for Grassland Microbiome, Lanzhou University, Lanzhou, 730000, China
| | - Sijie Wang
- Institute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Jie Feng
- Department of Digestive, Lanzhou University Second Hospital, Lanzhou, 730030, China
| | - Tianshu Feng
- School of Public Health, Peking University, Beijing, 100871, China
| | - Xiaoshan Li
- Chongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Faculty of Basic Medical Sciences, Chongqing Three Gorges Medical College, Wanzhou, 404120, China
| | - Shiheng Zhang
- Chongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Faculty of Basic Medical Sciences, Chongqing Three Gorges Medical College, Wanzhou, 404120, China.
| | - Huan Li
- Institute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
- State Key Laboratory of Grassland Agro-Ecosystems, Center for Grassland Microbiome, Lanzhou University, Lanzhou, 730000, China.
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5
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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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McGuinness AJ, Stinson LF, Snelson M, Loughman A, Stringer A, Hannan AJ, Cowan CSM, Jama HA, Caparros-Martin JA, West ML, Wardill HR. From hype to hope: Considerations in conducting robust microbiome science. Brain Behav Immun 2024; 115:120-130. [PMID: 37806533 DOI: 10.1016/j.bbi.2023.09.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/14/2023] [Accepted: 09/30/2023] [Indexed: 10/10/2023] Open
Abstract
Microbiome science has been one of the most exciting and rapidly evolving research fields in the past two decades. Breakthroughs in technologies including DNA sequencing have meant that the trillions of microbes (particularly bacteria) inhabiting human biological niches (particularly the gut) can be profiled and analysed in exquisite detail. This microbiome profiling has profound impacts across many fields of research, especially biomedical science, with implications for how we understand and ultimately treat a wide range of human disorders. However, like many great scientific frontiers in human history, the pioneering nature of microbiome research comes with a multitude of challenges and potential pitfalls. These include the reproducibility and robustness of microbiome science, especially in its applications to human health outcomes. In this article, we address the enormous promise of microbiome science and its many challenges, proposing constructive solutions to enhance the reproducibility and robustness of research in this nascent field. The optimisation of microbiome science spans research design, implementation and analysis, and we discuss specific aspects such as the importance of ecological principals and functionality, challenges with microbiome-modulating therapies and the consideration of confounding, alternative options for microbiome sequencing, and the potential of machine learning and computational science to advance the field. The power of microbiome science promises to revolutionise our understanding of many diseases and provide new approaches to prevention, early diagnosis, and treatment.
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Affiliation(s)
- Amelia J McGuinness
- Deakin University, Geelong, Australia, the Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Geelong, Australia
| | - Lisa F Stinson
- School of Molecular Sciences, The University of Western Australia, Perth, WA, Australia
| | - Matthew Snelson
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Clayton, VIC, Australia.
| | - Amy Loughman
- Deakin University, Geelong, Australia, the Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Geelong, Australia
| | - Andrea Stringer
- Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Anthony J Hannan
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | | | - Hamdi A Jama
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Clayton, VIC, Australia
| | | | - Madeline L West
- Deakin University, Geelong, Australia, the Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Geelong, Australia
| | - Hannah R Wardill
- Supportive Oncology Research Group, Precision Medicine (Cancer), South Australian Health and Medical Research Institute (SAHMRI), University of Adelaide, Adelaide, South Australia, Australia
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Ochoa-Sánchez M, Acuña Gomez EP, Moreno L, Moraga CA, Gaete K, Eguiarte LE, Souza V. Body site microbiota of Magellanic and king penguins inhabiting the Strait of Magellan follow species-specific patterns. PeerJ 2023; 11:e16290. [PMID: 37933257 PMCID: PMC10625763 DOI: 10.7717/peerj.16290] [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: 06/01/2023] [Accepted: 09/22/2023] [Indexed: 11/08/2023] Open
Abstract
Animal hosts live in continuous interaction with bacterial partners, yet we still lack a clear understanding of the ecological drivers of animal-associated bacteria, particularly in seabirds. Here, we investigated the effect of body site in the structure and diversity of bacterial communities of two seabirds in the Strait of Magellan: the Magellanic penguin (Spheniscus magellanicus) and the king penguin (Aptenodytes patagonicus). We used 16S rRNA gene sequencing to profile bacterial communities associated with body sites (chest, back, foot) of both penguins and the nest soil of Magellanic penguin. Taxonomic composition showed that Moraxellaceae family (specifically Psychrobacter) had the highest relative abundance across body sites in both penguin species, whereas Micrococacceae had the highest relative abundance in nest soil. We were able to detect a bacterial core among 90% of all samples, which consisted of Clostridium sensu stricto and Micrococcacea taxa. Further, the king penguin had its own bacterial core across its body sites, where Psychrobacter and Corynebacterium were the most prevalent taxa. Microbial alpha diversity across penguin body sites was similar in most comparisons, yet we found subtle differences between foot and chest body sites of king penguins. Body site microbiota composition differed across king penguin body sites, whereas it remained similar across Magellanic penguin body sites. Interestingly, all Magellanic penguin body site microbiota composition differed from nest soil microbiota. Finally, bacterial abundance in penguin body sites fit well under a neutral community model, particularly in the king penguin, highlighting the role of stochastic process and ecological drift in microbiota assembly of penguin body sites. Our results represent the first report of body site bacterial communities in seabirds specialized in subaquatic foraging. Thus, we believe it represents useful baseline information that could serve for long-term comparisons that use marine host microbiota to survey ocean health.
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Affiliation(s)
- Manuel Ochoa-Sánchez
- Instituto de Ecología, Universidad Nacional Autónoma de México, CDMX, Mexico
- Centro de Estudios del Cuaternario de Fuego, Patagonia y Antártica (CEQUA), Punta Arenas, Chile
- Posgrado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Ciudad de México, México
| | | | - Lucila Moreno
- Departamento de Zoología, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, Concepción, Chile
| | - Claudio A. Moraga
- Centro de Estudios del Cuaternario de Fuego, Patagonia y Antártica (CEQUA), Punta Arenas, Chile
| | - Katherine Gaete
- Centro de Estudios del Cuaternario de Fuego, Patagonia y Antártica (CEQUA), Punta Arenas, Chile
| | - Luis E. Eguiarte
- Instituto de Ecología, Universidad Nacional Autónoma de México, CDMX, Mexico
| | - Valeria Souza
- Instituto de Ecología, Universidad Nacional Autónoma de México, CDMX, Mexico
- Centro de Estudios del Cuaternario de Fuego, Patagonia y Antártica (CEQUA), Punta Arenas, Chile
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An XL, Xu MR, Pan XF, Cai GJ, Zhao CX, Li H, Ye ZL, Zhu YG, Su JQ. Local environment, surface characteristics and stochastic processes shape the dynamics of urban dustbin surface microbiome. ENVIRONMENT INTERNATIONAL 2023; 177:108004. [PMID: 37295164 DOI: 10.1016/j.envint.2023.108004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/24/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023]
Abstract
Dustbins function as critical infrastructures for urban sanitation, creating a distinct breeding ground for microbial assemblages. However, there is no information regarding the dynamics of microbial communities and the underlying mechanism for community assembly on dustbin surfaces. Here, surface samples were collected from three sampling zones (business building, commercial street and residential community) with different types (kitchen waste, harmful waste, recyclables, and others) and materials (metallic and plastic); and distribution pattern and assembly of microbial communities were investigated by high-throughput sequencing. Bacterial and fungal communities showed the distinct community variations across sampling zones and waste sorting. Core community and biomarker species were significantly correlated with the spatial distribution of overall community. The detection of pathogens highlighted the potential risk of surface microbiome. Human skin, human feces and soil biomes were the potential source environments of the surface microbiomes. Neutral model prediction suggested that microbial community assembly was significantly driven by stochastic processes. Co-association patterns varied with sampling zones and waste types, and neutral amplicon sequence variants (ASVs) that fall within the 95 % confidence intervals of neutral model were largely involved in the stability of microbial networks. These findings improve our understanding of the distribution pattern and the underlying assembly of microbial community on the dustbin surface, thus enabling prospective prediction and assessment of urban microbiomes and their impacts on human health.
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Affiliation(s)
- Xin-Li An
- Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Mei-Rong Xu
- Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; College of Resource and Environmental Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xiao-Fang Pan
- Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Guan-Jing Cai
- College of Science, Shantou University, Shantou, 515063, China
| | - Cai-Xia Zhao
- Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Hu Li
- Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Zhi-Long Ye
- Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Yong-Guan Zhu
- Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; State Key Lab of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jian-Qiang Su
- Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
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9
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Cai S, Gao J, Liu X, Yang J, Feng D, Li G, Li S, Yang H, Wang Z, Yi X, Zhou Y. Seasonal Dynamics of the Upper Respiratory Tract Microbiome in Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2023; 18:1267-1276. [PMID: 37362620 PMCID: PMC10290470 DOI: 10.2147/copd.s403198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 05/30/2023] [Indexed: 06/28/2023] Open
Abstract
Introduction Increasing evidence suggests that seasonal changes can trigger the alternation of airway microbiome. However, the dynamics of the upper airway bacterial ecology of chronic obstructive pulmonary disease (COPD) patients across different seasons remains unclear. Methods In this study, we present a 16S ribosomal RNA survey of the airway microbiome on 72 swab samples collected in different months (March, May, July, September, and November) in 2019 from 18 COPD patients and from six resampled patients in November in 2020. Results Our study uncovered a dynamic airway microbiota where changes appeared to be associated with seasonal alternation in COPD patients. Twelve clusters of temporal patterns were displayed by differential and clustering analysis along the time course, systematically revealing distinct microbial taxa that prefer to grow in cool and warm seasons, respectively. Moreover, the upper airway microbiome composition was relatively stable in the same season in different years. Discussion Given the tight association between airway microbiome and COPD disease progression, this study can provide useful information for clinically understanding the seasonal trend of disease phenotypes in COPD patients.
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Affiliation(s)
- Shuping Cai
- Department of Pulmonary and Critical Care Medicine, Institute of Respiratory Diseases, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guang Dong, People’s Republic of China
- Department of Pulmonary and Critical Care Medicine, the Seventh Affiliated Hospital of SUN YAT-SEN University, Shenzhen, Guang Dong, People’s Republic of China
| | - Jingyuan Gao
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guang Dong, People’s Republic of China
| | - Xiaomin Liu
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guang Dong, People’s Republic of China
| | - Junhao Yang
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guang Dong, People’s Republic of China
| | - Dingyun Feng
- Department of Pulmonary and Critical Care Medicine, Institute of Respiratory Diseases, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guang Dong, People’s Republic of China
| | - Guijun Li
- Department of Pulmonary and Critical Care Medicine, the Seventh Affiliated Hospital of SUN YAT-SEN University, Shenzhen, Guang Dong, People’s Republic of China
| | - Sijia Li
- Department of Pulmonary and Critical Care Medicine, Institute of Respiratory Diseases, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guang Dong, People’s Republic of China
| | - Hailing Yang
- Department of Pulmonary and Critical Care Medicine, Institute of Respiratory Diseases, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guang Dong, People’s Republic of China
| | - Zhang Wang
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guang Dong, People’s Republic of China
| | - Xinzhu Yi
- Institute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, Guang Dong, People’s Republic of China
| | - Yuqi Zhou
- Department of Pulmonary and Critical Care Medicine, Institute of Respiratory Diseases, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guang Dong, People’s Republic of China
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Yan D, Li M, Si W, Ni S, Liu X, Chang Y, Guo X, Wang J, Bai J, Chen Y, Jia H, Zhang T, Wu M, Song X, Tian Z, Yu L. Haze Exposure Changes the Skin Fungal Community and Promotes the Growth of Talaromyces Strains. Microbiol Spectr 2023; 11:e0118822. [PMID: 36507683 PMCID: PMC10269824 DOI: 10.1128/spectrum.01188-22] [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: 04/01/2022] [Accepted: 11/18/2022] [Indexed: 12/15/2022] Open
Abstract
Haze pollution has been a public health issue. The skin microbiota, as a component of the first line of defense, is disturbed by environmental pollutants, which may have an impact on human health. A total of 74 skin samples from healthy students were collected during haze and nonhaze days in spring and winter. Significant differences of skin fungal community composition between haze and nonhaze days were observed in female and male samples in spring and male samples in winter based on unweighted UniFrac distance analysis. Phylogenetic diversity whole-tree indices and observed features were significantly increased during haze days in male samples in winter compared to nonhaze days, but no significant difference was observed in other groups. Dothideomycetes, Capnodiales, Mycosphaerellaceae, etc. were significantly enriched during nonhaze days, whereas Trichocomaceae, Talaromyces, and Pezizaceae were significantly enriched during haze days. Thus, five Talaromyces strains were isolated, and an in vitro culture experiment revealed that the growth of representative Talaromyces strains was increased at high concentrations of particulate matter, confirming the sequencing results. Furthermore, during haze days, the fungal community assembly was better fitted to a niche-based assembly model than during nonhaze days. Talaromyces enriched during haze days deviated from the neutral assembly process. Our findings provided a comprehensive characterization of the skin fungal community during haze and nonhaze days and elucidated novel insights into how haze exposure influences the skin fungal community. IMPORTANCE Skin fungi play an important role in human health. Particulate matter (PM), the main haze pollutant, has been a public environmental threat. However, few studies have assessed the effects of air pollutants on skin fungi. Here, haze exposure influenced the diversity and composition of the skin fungal community. In an in vitro experiment, a high concentration of PM promoted the growth of Talaromyces strains. The fungal community assembly is better fitted to a niche-based assembly model during haze days. We anticipate that this study may provide new insights on the role of haze exposure disturbing the skin fungal community. It lays the groundwork for further clarifying the association between the changes of the skin fungal community and adverse health outcomes. Our study is the first to report the changes in the skin fungal community during haze and nonhaze days, which expands the understanding of the relationship between haze and skin fungi.
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Affiliation(s)
- Dong Yan
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Min Li
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Wenhao Si
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
- Department of Dermatology, the First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Shijun Ni
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Xin Liu
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Yahan Chang
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Xiaochan Guo
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Jingjing Wang
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Jie Bai
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Yuanhang Chen
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Haoyue Jia
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Tao Zhang
- China Pharmaceutical Culture Collection, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Minna Wu
- Xinxiang Key Laboratory of Pathogenic Biology, Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Xiangfeng Song
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China
| | - Zhongwei Tian
- Department of Dermatology, the First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Liyan Yu
- China Pharmaceutical Culture Collection, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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11
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Sun Y, Li H, Wang X, Jin Y, Nagai S, Lin S. Phytoplankton and Microzooplankton Community Structure and Assembly Mechanisms in Northwestern Pacific Ocean Estuaries with Environmental Heterogeneity and Geographic Segregation. Microbiol Spectr 2023; 11:e0492622. [PMID: 36939346 PMCID: PMC10100884 DOI: 10.1128/spectrum.04926-22] [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: 12/02/2022] [Accepted: 02/22/2023] [Indexed: 03/21/2023] Open
Abstract
Phytoplankton and microzooplankton are crucial players in marine ecosystems and first responders to environmental changes, but their community structures and how they are shaped by environmental conditions have rarely been studied simultaneously. In this study, we conducted an eDNA metabarcoding sequencing combined with multiple statistical methods to simultaneously analyze the phytoplankton and microzooplankton in Liaohe (LH) and Yalujiang (YLJ) estuaries. The major objective was to examine how plankton community structure and assembly mechanism may differ between two estuaries with similar latitudinal position and climate but geographical segregation and differential level of urbanization (more in LH). Clear differences in diversity and composition of phytoplankton and microzooplankton communities between LH and YLJ estuaries were observed. Richness of phytoplankton was significantly higher in LH than YLJ, while richness of microzooplankton was higher in YLJ. The magnitude of intrahabitat variations in phytoplankton communities was significantly stronger than that of microzooplankton. Some phytoplankton and microzooplankton taxa also showed interhabitat differences in their relative abundances. Phytoplankton showed a stronger geographic distance-decay of similarity than microzooplankton, while significant environmental distance-decay of similarity in microzooplankton was found in the less urbanized YLJ estuary. Community assembly of phytoplankton was, based on the neutral community models, driven primarily by stochastic processes, while deterministic processes contributed more for microzooplankton. Furthermore, we detected wider habitat niche breadths and stronger dispersal abilities in phytoplankton than in microzooplankton. These results suggest that passive dispersal shapes the phytoplankton community whereas environmental selection shapes the microzooplankton community. IMPORTANCE Understanding the underlying mechanisms shaping a metacommunity is useful to management for improving the ecosystem function. The research presented in the manuscript mainly tried to address the effects of habitat geography and environmental conditions on the phytoplankton and microzooplankton communities, and the underlying mechanisms of community assembly in temperate estuaries. In order to achieve this purpose, we developed a metabarcoding sequencing method based on 18S rRNA gene. The phytoplankton and microzooplankton communities from two estuaries with similar latitude and climatic conditions but obvious geographical segregation and significant environmental heterogeneity were investigated. The results of our study could lay a solid foundation for ascertaining phytoplankton and microzooplankton communities in estuaries with obvious environmental heterogeneity and geographic segregation and mechanisms underlying community assembly.
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Affiliation(s)
- Yi Sun
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, China
| | - Hongjun Li
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, China
| | - Xiaocheng Wang
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, China
| | - Yuan Jin
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, China
| | - Satoshi Nagai
- Coastal and Inland Fisheries Ecosystems Division, Fisheries Technology Institute, Japan Fisheries Research and Education Agency, Kanagawa, Japan
| | - Senjie Lin
- Department of Marine Sciences, University of Connecticut, Groton, Connecticut, USA
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Stochastic Processes Drive the Assembly and Metabolite Profiles of Keystone Taxa during Chinese Strong-Flavor Baijiu Fermentation. Microbiol Spectr 2023:e0510322. [PMID: 36916915 PMCID: PMC10101002 DOI: 10.1128/spectrum.05103-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
Multispecies communities participate in the fermentation of Chinese strong-flavor Baijiu (CSFB), and the metabolic activity of the dominant and keystone taxa is key to the flavor quality of the final product. However, their roles in metabolic function and assembly processes are still not fully understood. Here, we identified the variations in the metabolic profiles of dominant and keystone taxa and characterized their community assembly using 16S rRNA and internal transcribed spacer (ITS) gene amplicon and metatranscriptome sequencing. We demonstrate that CSFB fermentations with distinct metabolic profiles display distinct microbial community compositions and microbial network complexities and stabilities. We then identified the dominant taxa (Limosilactobacillus fermentum, Kazachstania africana, Saccharomyces cerevisiae, and Pichia kudriavzevii) and the keystone ecological cluster (module 0, affiliated mainly with Thermoascus aurantiacus, Weissella confusa, and Aspergillus amstelodami) that cause changes in metabolic profiles. Moreover, we highlight that the alpha diversity of keystone taxa contributes to changes in metabolic profiles, whereas dominant taxa exert their influence on metabolic profiles by virtue of their relative abundance. Additionally, our results based on the normalized stochasticity ratio (NST) index and the neutral model revealed that stochastic and deterministic processes together shaped CSFB microbial community assemblies. Stochasticity and environmental selection structure the keystone and dominant taxa differently. This study provides new insights into understanding the relationships between microbial communities and their metabolic functions. IMPORTANCE From an ecological perspective, keystone taxa in microbial networks with high connectivity have crucial roles in community assembly and function. We used CSFB fermentation as a model system to study the ecological functions of dominant and keystone taxa at the metabolic level. We show that both dominant taxa (e.g., those taxa that have the highest relative abundances) and keystone taxa (e.g., those taxa with the most cooccurrences) affected the resulting flavor profiles. Moreover, our findings established that stochastic processes were dominant in shaping the communities of keystone taxa during CSFB fermentation. This result is striking as it suggests that although the controlled conditions in the fermentor can determine the dominant taxa, the uncontrolled rare keystone taxa in the microbial community can alter the resulting flavor profiles. This important insight is vital for the development of potential manipulation strategies to improve the quality of CSFB through the regulation of keystone species.
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Sun L, D'Amico DJ. Characterization of microbial community assembly on new wooden vats for use in cheese production. Food Microbiol 2023; 109:104154. [DOI: 10.1016/j.fm.2022.104154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/14/2022] [Accepted: 09/21/2022] [Indexed: 10/14/2022]
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14
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Comparison of the microbial communities in pits with different sealing methods for Chinese strong-flavor liquor production. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.114248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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15
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Liu H, Chen T, Li Y, Zheng J, Liu Z, Li Y, Huang Z. Seasonal variations in gut microbiota of semiprovisioned rhesus macaques (Macaca mulatta) living in a limestone forest of Guangxi, China. Front Microbiol 2022; 13:951507. [PMID: 36204603 PMCID: PMC9530203 DOI: 10.3389/fmicb.2022.951507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/01/2022] [Indexed: 12/04/2022] Open
Abstract
Assessment of gut microbiota, used to explore ecological adaptation strategies and evolutionary potential of species, provides a new viewpoint to the conservation and management of endangered animals. In this research, the gut microbiota of a group of semiprovisioned rhesus macaques (Macaca mulatta) living in a limestone forest exhibiting seasonal changes in plant items were studied to investigate the adaptation strategies of these macaques to this specific habitat. The findings revealed significant seasonal changes in the diversity and composition of the rhesus macaques’ gut microbiota, which were higher in the rainy season than in the dry season. In the rainy season, Bacteroidetes (31.83 ± 16.14% vs. 19.91 ± 18.20%) were significantly increased and Prevotella (23.70 ± 15.33% vs. 15.40 ± 16.10%), UCG-002 (4.48 ± 3.16% vs. 2.18 ± 2.01%), and UCG-005 (4.22 ± 2.90% vs. 2.03 ± 1.82%) were more enriched at the genus level. In the dry season, Firmicutes significantly increased (71.84 ± 19.28% vs. 60.91 ± 16.77%), and Clostridium_sensu_stricto_1 (8.45 ± 9.72% vs. 4.76 ± 6.64%), Enterococcus (10.17 ± 13.47% vs. 0.69 ± 2.36%), and Sarcina (4.72 ± 7.66% vs. 2.45 ± 4.71%) were more enriched at the genus level. These differences in gut microbiota may be due to seasonal variations in plant items in these habitats alongside changes in the provisioned foods from tourists. Additionally, deterministic processes predominate the assembly of the macaque’s gut microbiota community. This indicates that the animal’s high reliance on natural plants and provisioned foods increased the impact of deterministic processes. This study concludes that a balance between provisioned foods and natural plants might be vital in shaping the gut microbiota in the macaques. Furthermore, the dynamic adjustment in gut microbiota might be a physiological mechanism for the macaques in response to the seasonal variations in the ecological factors and food provision.
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Affiliation(s)
- Hongying Liu
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Ting Chen
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Yuhui Li
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Jingjin Zheng
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Zheng Liu
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Youbang Li
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Zhonghao Huang
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
- *Correspondence: Zhonghao Huang,
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16
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Wei Q, Li Z, Gu Z, Liu X, Krutmann J, Wang J, Xia J. Shotgun metagenomic sequencing reveals skin microbial variability from different facial sites. Front Microbiol 2022; 13:933189. [PMID: 35966676 PMCID: PMC9364038 DOI: 10.3389/fmicb.2022.933189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/04/2022] [Indexed: 11/24/2022] Open
Abstract
Biogeography (body site) is known to be one of the main factors influencing the composition of the skin microbial community. However, site-associated microbial variability at a fine-scale level was not well-characterized since there was a lack of high-resolution recognition of facial microbiota across kingdoms by shotgun metagenomic sequencing. To investigate the explicit microbial variance in the human face, 822 shotgun metagenomic sequencing data from Han Chinese recently published by our group, in combination with 97 North American samples from NIH Human Microbiome Project (HMP), were reassessed. Metagenomic profiling of bacteria, fungi, and bacteriophages, as well as enriched function modules from three facial sites (forehead, cheek, and the back of the nose), was analyzed. The results revealed that skin microbial features were more alike in the forehead and cheek while varied from the back of the nose in terms of taxonomy and functionality. Analysis based on biogeographic theories suggested that neutral drift with niche selection from the host could possibly give rise to the variations. Of note, the abundance of porphyrin-producing species, i.e., Cutibacterium acnes, Cutibacterium avidum, Cutibacterium granulosum, and Cutibacterium namnetense, was all the highest in the back of the nose compared with the forehead/cheek, which was consistent with the highest porphyrin level on the nose in our population. Sequentially, the site-associated microbiome variance was confirmed in American populations; however, it was not entirely consistent. Furthermore, our data revealed correlation patterns between Propionibacterium acnes bacteriophages with genus Cutibacterium at different facial sites in both populations; however, C. acnes exhibited a distinct correlation with P. acnes bacteriophages in Americans/Chinese. Taken together, in this study, we explored the fine-scale facial site-associated changes in the skin microbiome and provided insight into the ecological processes underlying facial microbial variations.
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Affiliation(s)
- Qingzhen Wei
- Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | | | - Zhenglong Gu
- Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences, Fudan University, Guangzhou, China
| | - Xiao Liu
- Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Jean Krutmann
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
- Jean Krutmann,
| | - Jiucun Wang
- Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
- Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China
- Jiucun Wang,
| | - Jingjing Xia
- Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences, Fudan University, Guangzhou, China
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
- *Correspondence: Jingjing Xia,
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Cho YJ, Kim T, Croll D, Park M, Kim D, Keum HL, Sul WJ, Jung WH. Genome of Malassezia arunalokei and Its Distribution on Facial Skin. Microbiol Spectr 2022; 10:e0050622. [PMID: 35647654 PMCID: PMC9241646 DOI: 10.1128/spectrum.00506-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/11/2022] [Indexed: 11/29/2022] Open
Abstract
Malassezia is a fungal genus found on the skin of humans and warm-blooded animals, with 18 species reported to date. In this study, we sequenced and annotated the genome of Malassezia arunalokei, which is the most recently identified Malassezia species, and compared it with Malassezia restricta, the predominant isolate from human skin. Additionally, we reanalyzed previously reported mycobiome data sets with a species-level resolution to investigate M. arunalokei distribution within the mycobiota of human facial skin. We discovered that the M. arunalokei genome is 7.24 Mbp in size and encodes 4,117 protein-coding genes, all of which were clustered with M. restricta. We also found that the average nucleotide identity value of the M. arunalokei genome was 93.5, compared with the genomes of three M. restricta strains, including M. restricta KCTC 27527. Our findings demonstrate that they indeed belong to different species and that M. arunalokei may have experienced specific gene loss events during speciation. Furthermore, our study showed that M. arunalokei was diverged from M. restricta approximately 7.1 million years ago and indicated that M. arunalokei is the most recently diverged species in the Malassezia lineage to date. Finally, our analysis of the facial mycobiome of previously recruited cohorts revealed that M. arunalokei abundance is not associated with seborrheic dermatitis/dandruff or acne, but was revealed to be more abundant on the forehead and cheek than on the scalp. IMPORTANCEMalassezia is the fungus predominantly residing on the human skin and causes various skin diseases, including seborrheic dermatitis and dandruff. To date, 18 species have been reported, and among them, M. restricta is the most predominant on human skin, especially on the scalp. In this study, we sequenced and analyzed the genome of M. arunalokei, which is the most recently identified Malassezia species, and compared it with M. restricta. Moreover, we analyzed the fungal microbiome to investigate the M. arunalokei distribution on human facial skin. We found that M. arunalokei may have experienced specific gene loss events during speciation. Our study also showed that M. arunalokei was diverged from M. restricta approximately 7.1 million years ago and indicated that M. arunalokei is the most recently diverged species in the Malassezia lineage. Finally, our analysis of the facial mycobiome revealed that M. arunalokei has higher relative abundance on the forehead and cheek than the scalp.
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Affiliation(s)
- Yong-Joon Cho
- School of Biological Sciences and Research Institute of Basic Sciences, Seoul National University, Seoul, South Korea
| | - Taeyune Kim
- Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea
| | - Daniel Croll
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland
| | - Minji Park
- Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea
| | - Donghyeun Kim
- Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea
| | - Hye Lim Keum
- Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea
| | - Woo Jun Sul
- Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea
| | - Won Hee Jung
- Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea
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Fomite Transmission Follows Invasion Ecology Principles. mSystems 2022; 7:e0021122. [PMID: 35502902 PMCID: PMC9238404 DOI: 10.1128/msystems.00211-22] [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] [Indexed: 12/02/2022] Open
Abstract
The invasion ecology principles illustrated in many ecosystems have not yet been explored in the context of fomite transmission. We hypothesized that invaders in fomite transmission are trackable, are neutrally distributed between hands and environmental surfaces, and exhibit a proximity effect. To test this hypothesis, a surrogate invader, Lactobacillus delbrueckii subsp. bulgaricus, was spread by a root carrier in an office housing more than 20 participants undertaking normal activities, and the microbiotas on skin and environmental surfaces were analyzed before and after invasion. First, we found that the invader was trackable. Its identity and emission source could be determined using microbial-interaction networks, and the root carrier could be identified using a rank analysis. Without prior information, L. bulgaricus could be identified as the invader emitted from a source that exclusively contained the invader, and the probable root carrier could be located. In addition to the single-taxon invasion by L. bulgaricus, multiple-taxon invasion was observed, as genera from sputum/saliva exhibited co-occurrence relationships on skin and environmental surfaces. Second, the invader had a below-neutral distribution in a neutral community model, suggesting that hands accrued heavier invader contamination than environmental surfaces. Third, a proximity effect was observed on a surface touch network. Invader contamination on surfaces decreased with increasing geodesic distance from the hands of the carrier, indicating that the carrier’s touching behaviors were the main driver of fomite transmission. Taken together, these results demonstrate the invasion ecology principles in fomite transmission and provide a general basis for the management of ecological fomite transmission. IMPORTANCE Fomite transmission contributes to the spread of many infectious diseases. However, pathogens in fomite transmission typically are either investigated individually without considering the context of native microbiotas or investigated in a nondiscriminatory way from the dispersal of microbiotas. In this study, we adopted an invasion ecology framework in which we considered pathogens as invaders, the surface environment as an ecosystem, and human behaviors as the driver of microbial dispersal. With this approach, we assessed the ability of quantitative ecological theories to track and forecast pathogen movements in fomite transmission. By uncovering the relationships between the invader and native microbiotas and between human behaviors and invader/microbiota dispersal, we demonstrated that fomite transmission follows idiosyncratic invasion ecology principles. Our findings suggest that attempts to manage fomite transmission for public health purposes should focus on the microbial communities and anthropogenic factors involved, in addition to the pathogens.
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Schmid B, Künstner A, Fähnrich A, Busch H, Glatz M, Bosshard PP. Longitudinal Characterization of the Fungal Skin Microbiota in Healthy Subjects Over the Period of One Year. J Invest Dermatol 2022; 142:2766-2772.e8. [DOI: 10.1016/j.jid.2022.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 10/18/2022]
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20
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Zhao Z, Jiang J, Zheng J, Pan Y, Dong Y, Chen Z, Gao S, Xiao Y, Jiang P, Wang X, Zhang G, Wang B, Yu D, Fu Z, Guan X, Sun H, Zhou Z. Exploiting the gut microbiota to predict the origins and quality traits of cultured sea cucumbers. Environ Microbiol 2022; 24:3882-3897. [PMID: 35297145 DOI: 10.1111/1462-2920.15972] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 03/07/2022] [Indexed: 01/09/2023]
Abstract
Nowadays, the true economic and nutritional value of food is underpinned by both origin and quality traits, more often expressed as increased quality benefits derived from the origin source. Gut microbiota contribute to food metabolism and host health, therefore, it may be suitable as a qualifying indicator of origin and quality of economic species. Here, we investigated relationships between the gut microbiota of the sea cucumber (Apostichopus japonicus), a valuable aquaculture species in Asia, with their origins and quality metrics. Based on data from 287 intestinal samples, we generated the first biogeographical patterns for A. japonicus gut microbiota from origins across China. Importantly, A. japonicus origins were predicted using the random forest model that was constructed using 20 key gut bacterial genera, with 97.6% accuracy. Furthermore, quality traits such as saponin, fat and taurine were also successfully predicted by random forest models based on gut microbiota, with approximately 80% consistency between predicted and true values. We showed that substantial variations existed in the gut microbiota and quality variables in A. japonicus across different origins, and we also demonstrated the great potential of gut microbiota to track A. japonicus origins and predict their quality traits.
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Affiliation(s)
- Zelong Zhao
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Jingwei Jiang
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Jie Zheng
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Yongjia Pan
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Ying Dong
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Zhong Chen
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Shan Gao
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Yao Xiao
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Pingzhe Jiang
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Xuda Wang
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Gaohua Zhang
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Bai Wang
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Di Yu
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Zhiyu Fu
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Xiaoyan Guan
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Hongjuan Sun
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
| | - Zunchun Zhou
- Liaoning Key Lab of Germplasm Improvement and Fine Seed Breeding of Marine Aquatic animals, Liaoning Ocean and Fisheries Science Research Institute, Dalian, Liaoning, 116023, China
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21
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Li L, Wu C, Huang D, Ding C, Wei Y, Sun J. Integrating Stochastic and Deterministic Process in the Biogeography of N 2-Fixing Cyanobacterium Candidatus Atelocyanobacterium Thalassa. Front Microbiol 2021; 12:654646. [PMID: 34745020 PMCID: PMC8566894 DOI: 10.3389/fmicb.2021.654646] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 09/22/2021] [Indexed: 11/13/2022] Open
Abstract
UCYN-A is one of the most widespread and important marine diazotrophs. Its unusual distribution in both cold/warm and coastal/oceanic waters challenges current understanding about what drives the biogeography of diazotrophs. This study assessed the community assembly processes of the nitrogen-fixing cyanobacterium UCYN-A, developing a framework of assembly processes underpinning the microbial biogeography and diversity. High-throughput sequencing and a qPCR approach targeting the nifH gene were used to investigate three tropical seas: the Bay of Bengal, the Western Pacific Ocean, and the South China Sea. Based on the neutral community model and two types of null models calculating the β-nearest taxon index and the normalized stochasticity ratio, we found that stochastic assembly processes could explain 66-92% of the community assembly; thus, they exert overwhelming influence on UCYN-A biogeography and diversity. Among the deterministic processes, temperature and coastal/oceanic position appeared to be the principal environmental factors driving UCYN-A diversity. In addition, a close linkage between assembly processes and UCYN-A abundance/diversity/drivers can provide clues for the unusual global distribution of UCYN-A.
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Affiliation(s)
- Liuyang Li
- College of Marine Science and Technology, China University of Geosciences, Wuhan, China.,State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Chao Wu
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, China
| | - Danyue Huang
- College of Marine Science and Technology, China University of Geosciences, Wuhan, China.,School of Oceanography, Shanghai Jiao Tong University, Shanghai, China
| | - Changling Ding
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, China.,College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China
| | - Yuqiu Wei
- Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
| | - Jun Sun
- College of Marine Science and Technology, China University of Geosciences, Wuhan, China
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22
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Wang S, Wu Q, Han Y, Du R, Wang X, Nie Y, Du X, Xu Y. Gradient Internal Standard Method for Absolute Quantification of Microbial Amplicon Sequencing Data. mSystems 2021; 6:e00964-20. [PMID: 33436513 PMCID: PMC7901480 DOI: 10.1128/msystems.00964-20] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/03/2020] [Indexed: 11/20/2022] Open
Abstract
High-throughput amplicon sequencing is a critical tool for studying microbiota; however, it results only in relative abundance data. Thus, changes in absolute abundance of microbiota cannot be determined, which hinders further microbiology research. We have therefore established a gradient internal standard absolute quantification (GIS-AQ) method to overcome this issue, which can simultaneously obtain the absolute abundances of bacteria and fungi. Deviations from the quantitative equations of microbes and internal standards were eliminated through calibration. Compared with traditional quantitative real-time PCR and microscopy quantifications, this method is reliable (R 2 average = 0.998; P < 0.001) and accurate (P internals versus microscopy > 0.05). The GIS-AQ method can be adapted to any amplicon primer choice (e.g., 336F/806R and ITS3/ITS4), rendering it applicable to ecosystem studies including food, soil, and water samples. Crucially, when using solid-state fermentation samples from various temporal dimensions, the results obtained from the relative and absolute abundance are different. The absolute abundance can be used to study the difference in communities between different samples, and the GIS-AQ method allows this to be done rapidly. Therefore, combining the absolute abundance with relative abundance can accurately reflect the microbiota composition.IMPORTANCE To solve the problem of amplicon sequencing cannot discern the microbiota absolute abundance, we proposed a gradient internal standard absolute quantification method. We used Chinese liquor fermentation as a model system to demonstrate the reliability and accuracy of the method. By comparing the relative and absolute abundances of microbiota in various temporal dimensions, we found dynamic changes in the absolute abundance of communities under various temporal dimensions from the relative abundance. Based on its design principle, this method can be widely applied to different ecosystems. Therefore, we believe that the GIS-AQ method can play an immeasurably useful role in microbiological research.
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Affiliation(s)
- Shilei Wang
- State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Qun Wu
- State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Ying Han
- Technical Center, Xinghuacun Fenjiu Distillery Co. Ltd., Fenyang, Shanxi, China
| | - Rubing Du
- State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Xiaoyong Wang
- Technical Center, Xinghuacun Fenjiu Distillery Co. Ltd., Fenyang, Shanxi, China
| | - Yao Nie
- State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Xiaowei Du
- Technical Center, Xinghuacun Fenjiu Distillery Co. Ltd., Fenyang, Shanxi, China
| | - Yan Xu
- State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
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23
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Willis KA, Stewart JD, Ambalavanan N. Recent advances in understanding the ecology of the lung microbiota and deciphering the gut-lung axis. Am J Physiol Lung Cell Mol Physiol 2020. [PMID: 32877224 PMCID: PMC7642895 DOI: 10.1152/ajplung.00360.2020 10.1152/ajplung.00360.2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
A rapidly expanding new field of lung research has been produced by the emergence of culture-independent next-generation sequencing technologies. While pulmonary microbiome research lags behind the exploration of the microbiome in other organ systems, the field is maturing and has recently produced multiple exciting discoveries. In this mini-review, we will explore recent advances in our understanding of the lung microbiome and the gut-lung axis from an ecological perspective.
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Affiliation(s)
- Kent A. Willis
- 1Division of Neonatology, Department of Pediatrics, College of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Justin D. Stewart
- 2Department of Ecological Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Namasivayam Ambalavanan
- 1Division of Neonatology, Department of Pediatrics, College of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama,3Department of Pathology, College of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama,4Department of Cell, Developmental and Integrative Biology, College of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
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24
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Willis KA, Stewart JD, Ambalavanan N. Recent advances in understanding the ecology of the lung microbiota and deciphering the gut-lung axis. Am J Physiol Lung Cell Mol Physiol 2020; 319:L710-L716. [PMID: 32877224 DOI: 10.1152/ajplung.00360.2020] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
A rapidly expanding new field of lung research has been produced by the emergence of culture-independent next-generation sequencing technologies. While pulmonary microbiome research lags behind the exploration of the microbiome in other organ systems, the field is maturing and has recently produced multiple exciting discoveries. In this mini-review, we will explore recent advances in our understanding of the lung microbiome and the gut-lung axis from an ecological perspective.
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Affiliation(s)
- Kent A Willis
- Division of Neonatology, Department of Pediatrics, College of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Justin D Stewart
- Department of Ecological Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Namasivayam Ambalavanan
- Division of Neonatology, Department of Pediatrics, College of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama.,Department of Pathology, College of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama.,Department of Cell, Developmental and Integrative Biology, College of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
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25
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Zhu T, Duan YY, Kong FQ, Galzote C, Quan ZX. Dynamics of Skin Mycobiome in Infants. Front Microbiol 2020; 11:1790. [PMID: 32849406 PMCID: PMC7401610 DOI: 10.3389/fmicb.2020.01790] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 07/08/2020] [Indexed: 12/18/2022] Open
Abstract
Understanding the microbial community structure of the human skin is important for treating cutaneous diseases; however, little is known regarding skin fungal communities (mycobiomes). The aim of the present study was to investigate the features of and variations in skin fungal communities during infancy in 110 subjects less than 6 months of age. Skin samples were obtained from the back, antecubital fossa, and volar forearm, while physiological parameters including transepidermal water loss, pH, surface moisture, and deep layer hydration were evaluated. Skin fungal diversity decreased after the first three months of life. Differences in fungal community composition were greater among individual infants than among the three skin sites in the same individual. Inter- and intra-individual variation were similar and lower, respectively, than the variability between two samples obtained 12 weeks apart, from the same site in the same subject, suggesting low stability of fungal communities on infant skin. Skin physiological parameters showed little correlation with skin fungal community structure. Additionally, Malassezia was the most represented genus (36.43%) and M. globosa was the most abundant species in Malassezia with its abundance decreasing from 54.06% at 0–2 months to 34.54% at 5–6 months. These findings provide a basis for investigating the causative fungi-skin interactions associated with skin diseases.
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Affiliation(s)
- Ting Zhu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, China
| | - Yuan-Yuan Duan
- AP Skin Testing Center, Johnson & Johnson China Ltd., Shanghai, China
| | - Fan-Qi Kong
- AP Skin Testing Center, Johnson & Johnson China Ltd., Shanghai, China
| | - Carlos Galzote
- Johnson & Johnson International (Singapore) Pte. Ltd., Manila, Philippines
| | - Zhe-Xue Quan
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, China
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26
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Tan Y, Zhong H, Zhao D, Du H, Xu Y. Succession rate of microbial community causes flavor difference in strong-aroma Baijiu making process. Int J Food Microbiol 2019; 311:108350. [DOI: 10.1016/j.ijfoodmicro.2019.108350] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 09/04/2019] [Accepted: 09/05/2019] [Indexed: 02/05/2023]
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27
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Shade A, Stopnisek N. Abundance-occupancy distributions to prioritize plant core microbiome membership. Curr Opin Microbiol 2019; 49:50-58. [PMID: 31715441 DOI: 10.1016/j.mib.2019.09.008] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 09/16/2019] [Accepted: 09/21/2019] [Indexed: 10/25/2022]
Abstract
Core microbiome members are consistent features of a dataset that are hypothesized to reflect underlying functional relationships with the host. A review of the recent plant-microbiome literature reveals a variety of study-specific approaches used to define the core, which presents a challenge to building a general plant-microbiome framework. Abundance-occupancy distributions, used in macroecology to describe changes in community diversity over space, offer an ecological approach for prioritizing core membership for both spatial and temporal studies. Additionally, neutral models fit to the abundance-occupancy distributions can provide insights into deterministically selected core members. We provide examples and code to systematically explore a core plant microbiome from abundance-occupancy distributions. Though we focus on examples from and discussions relevant to the plant microbiome, the abundance-occupancy method can be widely and generally applied to prioritize core membership for any microbiome.
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Affiliation(s)
- Ashley Shade
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing MI 48824, United States; Department of Plant Soil and Microbial Sciences, Michigan State University, East Lansing MI 48824, United States; Plant Resilience Institute, Michigan State University, East Lansing MI 48824, United States; Great Lakes Bioenergy Research Center, Michigan State University, East Lansing MI 48824, United States; Program in Ecology, Evolutionary Biology and Behavior, Michigan State University, East Lansing, United States.
| | - Nejc Stopnisek
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing MI 48824, United States; Plant Resilience Institute, Michigan State University, East Lansing MI 48824, United States; Great Lakes Bioenergy Research Center, Michigan State University, East Lansing MI 48824, United States
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28
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Chen W, Ren K, Isabwe A, Chen H, Liu M, Yang J. Stochastic processes shape microeukaryotic community assembly in a subtropical river across wet and dry seasons. MICROBIOME 2019; 7:138. [PMID: 31640783 PMCID: PMC6806580 DOI: 10.1186/s40168-019-0749-8] [Citation(s) in RCA: 242] [Impact Index Per Article: 48.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 09/13/2019] [Indexed: 05/19/2023]
Abstract
BACKGROUND The deep mechanisms (deterministic and/or stochastic processes) underlying community assembly are a central challenge in microbial ecology. However, the relative importance of these processes in shaping riverine microeukaryotic biogeography is still poorly understood. Here, we compared the spatiotemporal and biogeographical patterns of microeukaryotic community using high-throughput sequencing of 18S rRNA gene and multivariate statistical analyses from a subtropical river during wet and dry seasons. RESULTS Our results provide the first description of biogeographical patterns of microeukaryotic communities in the Tingjiang River, the largest river in the west of Fujian province, southeastern China. The results showed that microeukaryotes from both wet and dry seasons exhibited contrasting community compositions, which might be owing to planktonic microeukaryotes having seasonal succession patterns. Further, all components of the microeukaryotic communities (including total, dominant, always rare, and conditionally rare taxa) exhibited a significant distance-decay pattern in both seasons, and these communities had a stronger distance-decay relationship during the dry season, especially for the conditionally rare taxa. Although several variables had a significant influence on the microeukaryotic communities, the environmental and spatial factors showed minor roles in shaping the communities. Importantly, these microeukaryotic communities were strongly driven by stochastic processes, with 89.9%, 88.5%, and 89.6% of the community variation explained by neutral community model during wet, dry, and both seasons, respectively. The neutral community model also explained a large fraction of the community variation across different taxonomic groups and levels. Additionally, the microeukaryotic taxa, which were above and below the neutral prediction, were ecologically and taxonomically distinct groups, which might be interactively structured by deterministic and stochastic processes. CONCLUSIONS This study demonstrated that stochastic processes are sufficient in shaping substantial variation in river microeukaryotic metacommunity across different hydrographic regimes, thereby providing a better understanding of spatiotemporal patterns, processes, and mechanisms of microeukaryotic community in waters.
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Affiliation(s)
- Weidong Chen
- Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021 China
- Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- State Key Laboratory of Marine Environmental Science, Marine Biodiversity and Global Change Research Center, College of Ocean and Earth Sciences, Xiamen University, Xiamen, 361102 China
| | - Kexin Ren
- Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021 China
- Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Alain Isabwe
- Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021 China
- Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Huihuang Chen
- Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021 China
- Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Min Liu
- Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021 China
- Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Jun Yang
- Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021 China
- Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
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