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Taherkhani H, KavianFar A, Aminnezhad S, Lanjanian H, Ahmadi A, Azimzadeh S, Masoudi-Nejad A. Deciphering the impact of microbial interactions on COPD exacerbation: An in-depth analysis of the lung microbiome. Heliyon 2024; 10:e24775. [PMID: 38370212 PMCID: PMC10869780 DOI: 10.1016/j.heliyon.2024.e24775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 01/04/2024] [Accepted: 01/14/2024] [Indexed: 02/20/2024] Open
Abstract
In microbiome studies, the diversity and types of microbes have been extensively explored; however, the significance of microbial ecology is equally paramount. The comprehension of metabolic interactions among the wide array of microorganisms in the lung microbiota is indispensable for understanding chronic pulmonary disease and for the development of potent treatments. In this investigation, metabolic networks were simulated, and ecological theory was employed to assess the diagnosis of COPD, subsequently suggesting innovative treatment strategies for COPD exacerbation. Lung sputum 16S rRNA paired-end data from 112 COPD patients were utilized, and a supervised machine-learning algorithm was applied to identify taxa associated with sex and mortality. Subsequently, an OTU table with Greengenes 99 % dataset was generated. Finally, the interactions between bacterial species were analyzed using a simulated metabolic network. A total of 1781 OTUs and 1740 bacteria at the genus level were identified. We employed an additional dataset to validate our analyses. Notably, among the more abundant genera, Pseudomonas was detected in females, while Lactobacillus was detected in males. Additionally, a decrease in bacterial diversity was observed during COPD exacerbation, and mortality was associated with the high abundance of the Staphylococcus and Pseudomonas genera. Moreover, an increase in Proteobacteria abundance was observed during COPD exacerbations. In contrast, COPD patients exhibited decreased levels of Firmicutes and Bacteroidetes. Significant connections between microbial ecology and bacterial diversity in COPD patients were discovered, highlighting the critical role of microbial ecology in the understanding of COPD. Through the simulation of metabolic interactions among bacteria, the observed dysbiosis in COPD was elucidated. Furthermore, the prominence of anaerobic bacteria in COPD patients was revealed to be influenced by parasitic relationships. These findings have the potential to contribute to improved clinical management strategies for COPD patients.
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Affiliation(s)
- Hamidreza Taherkhani
- Laboratory of Systems Biology and Bioinformatics (LBB), Department of Bioinformatics, Kish International Campus, University of Tehran, Kish Island, Iran
| | - Azadeh KavianFar
- Laboratory of Systems Biology and Bioinformatics (LBB), Department of Bioinformatics, Kish International Campus, University of Tehran, Kish Island, Iran
| | - Sargol Aminnezhad
- Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
| | - Hossein Lanjanian
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Ahmadi
- Molecular Biology Research Center, Systems Biology and Poisonings Institute, Tehran, Iran
| | - Sadegh Azimzadeh
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Tehran, Iran
| | - Ali Masoudi-Nejad
- Laboratory of Systems Biology and Bioinformatics (LBB), Department of Bioinformatics, Kish International Campus, University of Tehran, Kish Island, Iran
- Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
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Chao J, Li J, Kong M, Shao K, Tang X. Bacterioplankton diversity and potential health risks in volcanic lakes: A study from Arxan Geopark, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 342:123058. [PMID: 38042466 DOI: 10.1016/j.envpol.2023.123058] [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: 08/20/2023] [Revised: 10/29/2023] [Accepted: 11/26/2023] [Indexed: 12/04/2023]
Abstract
Bacterioplankton play a vital role in maintaining the functions and services of lake ecosystems. Understanding the diversity and distribution patterns of bacterioplankton, particularly the presence of potential pathogenic bacterial communities, is crucial for safeguarding human health. In this study, we employed 16S rRNA gene amplicon sequencing to investigate the diversity and geographic patterns of bacterioplankton communities, as well as potential pathogens, in eight volcanic lakes located in the Arxan UNESCO Global Geopark (in the Greater Khingan Mountains of China). Our results revealed that the bacterial communities primarily comprised Bacteroidota (45.3%), Proteobacteria (33.1%), and Actinobacteria (9.0%) at the phylum level. At the genus level, prominent taxa included Flavobacterium (31.5%), Acinetobacter (11.0%), Chryseobacterium (7.9%), and CL500-29 marine group (5.6%). Among the bacterioplankton, we identified 34 pathogen genera (165 amplicon sequence variants [ASVs]), with Acinetobacter (59.8%), Rahnella (18.3%), Brevundimonas (9.6%), and Pseudomonas (5.8%) being the most dominant. Our findings demonstrated distinct biogeographic patterns in the bacterial communities at the local scale, driven by a combination of dispersal limitation and environmental factors influenced by human activities. Notably, approximately 15.3% of the bacterioplankton reads in the Arxan lakes were identified as potential pathogens, underscoring the potential risks to public health in these popular tourist destinations. This study provides the first comprehensive insight into the diversity of bacterioplankton in mountain lake ecosystems affected by high tourist activity, laying the groundwork for effective control measures against bacterial pathogens.
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Affiliation(s)
- Jianying Chao
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Jian Li
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Ming Kong
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, 210042, China
| | - Keqiang Shao
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Xiangming Tang
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Leão I, Khalifa L, Gallois N, Vaz-Moreira I, Klümper U, Youdkes D, Palmony S, Dagai L, Berendonk TU, Merlin C, Manaia CM, Cytryn E. Microbiome and Resistome Profiles along a Sewage-Effluent-Reservoir Trajectory Underline the Role of Natural Attenuation in Wastewater Stabilization Reservoirs. Appl Environ Microbiol 2023; 89:e0017023. [PMID: 37199629 PMCID: PMC10304787 DOI: 10.1128/aem.00170-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/24/2023] [Indexed: 05/19/2023] Open
Abstract
Antibiotic-resistant bacteria and antibiotic resistance gene (ARGs) loads dissipate through sewage treatment plants to receiving aquatic environments, but the mechanisms that mitigate the spread of these ARGs are not well understood due to the complexity of full-scale systems and the difficulty of source tracking in downstream environments. To overcome this problem, we targeted a controlled experimental system comprising a semicommercial membrane-aerated bioreactor (MABR), whose effluents fed a 4,500-L polypropylene basin that mimicked effluent stabilization reservoirs and receiving aquatic ecosystems. We analyzed a large set of physicochemical measurements, concomitant with the cultivation of total and cefotaxime-resistant Escherichia coli, microbial community analyses, and quantitative PCR (qPCR)/digital droplet PCR (ddPCR) quantification of selected ARGs and mobile genetic elements (MGEs). The MABR removed most of the sewage-derived organic carbon and nitrogen, and simultaneously, E. coli, ARG, and MGE levels dropped by approximately 1.5- and 1.0-log unit mL-1, respectively. Similar levels of E. coli, ARGs, and MGEs were removed in the reservoir, but interestingly, unlike in the MABR, the relative abundance (normalized to 16S rRNA gene-inferred total bacterial abundance) of these genes also decreased. Microbial community analyses revealed the substantial shifts in bacterial and eukaryotic community composition in the reservoir relative to the MABR. Collectively, our observations lead us to conclude that the removal of ARGs in the MABR is mainly a consequence of treatment-facilitated biomass removal, whereas in the stabilization reservoir, mitigation is linked to natural attenuation associated with ecosystem functioning, which includes abiotic parameters, and the development of native microbiomes that prevent the establishment of wastewater-derived bacteria and associated ARGs. IMPORTANCE Wastewater treatment plants are sources of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs), which can contaminate receiving aquatic environments and contribute to antibiotic resistance. We focused on a controlled experimental system comprising a semicommercial membrane-aerated bioreactor (MABR) that treated raw sewage, whose effluents fed a 4,500-L polypropylene basin that mimicked effluent stabilization reservoirs. We evaluated ARB and ARG dynamics across the raw-sewage-MABR-effluent trajectory, concomitant with evaluation of microbial community composition and physicochemical parameters, in an attempt to identify mechanisms associated with ARB and ARG dissipation. We found that removal of ARB and ARGs in the MABR was primarily associated with bacterial death or sludge removal, whereas in the reservoir it was attributed to the inability of ARBs and associated ARGs to colonize the reservoir due to a dynamic and persistent microbial community. The study demonstrates the importance of ecosystem functioning in removing microbial contaminants from wastewater.
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Affiliation(s)
- Inês Leão
- Universidade Católica Portuguesa, Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Leron Khalifa
- Institute of Soil, Water and Environmental Sciences, Volcani Institute, Agricultural Research Organization, Rishon-Lezion, Israel
| | | | - Ivone Vaz-Moreira
- Universidade Católica Portuguesa, Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Uli Klümper
- Technische Universität Dresden, Institute of Hydrobiology, Dresden, Germany
| | - Daniel Youdkes
- Institute of Soil, Water and Environmental Sciences, Volcani Institute, Agricultural Research Organization, Rishon-Lezion, Israel
| | | | | | | | | | - Célia M. Manaia
- Universidade Católica Portuguesa, Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Eddie Cytryn
- Institute of Soil, Water and Environmental Sciences, Volcani Institute, Agricultural Research Organization, Rishon-Lezion, Israel
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Biderre‐Petit C, Charvy J, Bronner G, Chauvet M, Debroas D, Gardon H, Hennequin C, Jouan‐Dufournel I, Moné A, Monjot A, Ravet V, Vellet A, Lepère C. FreshOmics
: a manually curated and standardized –omics database for investigating freshwater microbiomes. Mol Ecol Resour 2022; 23:222-232. [DOI: 10.1111/1755-0998.13692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/22/2022] [Accepted: 07/25/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Corinne Biderre‐Petit
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Jean‐Christophe Charvy
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Gisèle Bronner
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Marina Chauvet
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Didier Debroas
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Hélène Gardon
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Claire Hennequin
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Isabelle Jouan‐Dufournel
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Anne Moné
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Arthur Monjot
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Viviane Ravet
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Agnès Vellet
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
| | - Cécile Lepère
- CNRS, Laboratoire Microorganismes: Génome et Environnement Université Clermont Auvergne Clermont‐Ferrand France
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Hu Y, Jiang X, Shao K, Tang X, Qin B, Gao G. Convergency and Stability Responses of Bacterial Communities to Salinization in Arid and Semiarid Areas: Implications for Global Climate Change in Lake Ecosystems. Front Microbiol 2022; 12:741645. [PMID: 35058891 PMCID: PMC8764409 DOI: 10.3389/fmicb.2021.741645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/30/2021] [Indexed: 11/13/2022] Open
Abstract
Climate change has given rise to salinization and nutrient enrichment in lake ecosystems of arid and semiarid areas, which have posed the bacterial communities not only into an ecotone in lake ecosystems but also into an assemblage of its own unique biomes. However, responses of bacterial communities to climate-related salinization and nutrient enrichment remain unclear. In September 2019, this study scrutinized the turnover of bacterial communities along gradients of increasing salinity and nutrient by a space-for-time substitution in Xinjiang Uyghur Autonomous Region, China. We find that salinization rather than nutrient enrichment primarily alters bacterial communities. The homogenous selection of salinization leads to convergent response of bacterial communities, which is revealed by the combination of a decreasing β-nearest taxon index (βNTI) and a pronounced negative correlation between niche breadth and salinity. Furthermore, interspecific interactions within bacterial communities significantly differed among distinct salinity levels. Specifically, mutualistic interactions showed an increase along the salinization. In contrast, topological parameters show hump-shaped curves (average degree and density) and sunken curves (modularity, density, and average path distance), the extremums of which all appear in the high-brackish environment, hinting that bacterial communities are comparatively stable at freshwater and brine environments but are unstable in moderately high-brackish lake.
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Affiliation(s)
| | | | | | | | | | - Guang Gao
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
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6
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Mondal HK, Maji UJ, Mohanty S, Sahoo PK, Maiti NK. Alteration of gut microbiota composition and function of Indian major carp, rohu (Labeo rohita) infected with Argulus siamensis. Microb Pathog 2022; 164:105420. [DOI: 10.1016/j.micpath.2022.105420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 01/16/2023]
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Banda JF, Zhang Q, Ma L, Pei L, Du Z, Hao C, Dong H. Both pH and salinity shape the microbial communities of the lakes in Badain Jaran Desert, NW China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 791:148108. [PMID: 34126487 DOI: 10.1016/j.scitotenv.2021.148108] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/19/2021] [Accepted: 05/24/2021] [Indexed: 05/27/2023]
Abstract
Badain Jaran Desert (BJD), characterized by extremely arid climate and tallest sand dunes in the world, is the second largest desert in China. Surprisingly, there are a large number of permanent lakes in this desert. At present, little is known about the composition and distribution of microbial communities in these desert lakes, which are an important bioresource and play a fundamental role in the elemental cycles of the lakes. In this study, the physicochemical characteristics and microbial communities of water samples from 15 lakes in BJD were comparatively investigated. The results showed that the lakes were rich in Na+, Cl-, CO32- and HCO3- while Ca2+ and Mg2+ were scarce, with pH 8.52-10.27 and salinity 1.05-478.70 g/L. Bacteria dominated exclusively in low saline lakes (salinity < 50 g/L) while archaea were predominant in hypersaline lakes (salinity > 250 g/L), which abundance increased along salinity gradient linearly. Genera Flavobacterium, Synechocystis and Roseobacter from phyla Bacteroidetes, Cyanobacteria, Alphaproteobacteria were the major members in low saline lakes whereas Halomonas, Aliidiomarina and Halopelagius from Gammaproteobacteria and Euryarchaeota were abundant in moderately saline lakes (salinity 50-250 g/L). The hypersaline lakes were predominated by extreme halophiles such as Halorubrum, Halohasta and Natronomonas from Euryarchaeota. The correlation among the microbes in the lakes was mainly positive, suggesting they can survive in the harsh environments through synergistic interactions. Statistical analyses indicated that physicochemical characteristics rather than spatial factors shaped the microbial communities in the desert lakes. The pH was the most important environmental factor controlling alpha diversity, while salinity was the major driver determining microbial community structure in BJD lakes. In contrast, geographic factors had no significant impact on the microbial community compositions.
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Affiliation(s)
- Joseph Frazer Banda
- School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; Geomicrobiology Laboratory, State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China
| | - Qin Zhang
- School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; Geomicrobiology Laboratory, State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China
| | - Linqiang Ma
- School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; Geomicrobiology Laboratory, State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China
| | - Lixin Pei
- School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; Geomicrobiology Laboratory, State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China
| | - Zerui Du
- School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; Geomicrobiology Laboratory, State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China
| | - Chunbo Hao
- School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; Geomicrobiology Laboratory, State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China.
| | - Hailiang Dong
- School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; Department of Geology and Environmental Earth Science, Miami University, Oxford, OH 45056, USA
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Tandon K, Wan MT, Yang CC, Yang SH, Baatar B, Chiu CY, Tsai JW, Liu WC, Ng CS, Tang SL. Aquatic microbial community is partially functionally redundant: Insights from an in situ reciprocal transplant experiment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 786:147433. [PMID: 33971597 DOI: 10.1016/j.scitotenv.2021.147433] [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: 03/03/2021] [Revised: 04/06/2021] [Accepted: 04/25/2021] [Indexed: 06/12/2023]
Abstract
Microbial communities are considered to be functionally redundant, but few studies have tested this hypothesis empirically. In this study, we performed an in situ reciprocal transplant experiment on the surface and bottom waters of two lakes (Tsuei-Feng (T) and Yuan-Yang (Y)) with disparate trophic states and tracked changes in their microbial community composition and functions for 6 weeks using high-throughput sequencing and functional approaches. T lake's surface (Ts) and bottom (Tb) water active bacterial community (16S rRNA gene-transcript) was dominated by Actinobacteria, Bacteroidia, and Cyanobacteria, whereas Y lake's surface (Ys) and bottom (Yb) water had Gammaproteobacteria, Alphaproteobacteria, and Bacteroidia as the dominant classes. The community composition was resistant to changes in environmental conditions following the reciprocal transplant, but their functions tended to become similar to the incubating lakes' functional profiles. A significant linear positive relationship was observed between the microbial community and functional attributes (surface: R2 = 0.5065, p < 0.0001; bottom: R2 = 0.4592, p < 0.0001), though with varying scales of similarity (1-Bray Curtis distance), suggesting partial functional redundancy. Also, the entropy-based L-divergence measure identified high divergence in community composition (surface: 1.21 ± 0.54; bottom: 1.17 ± 0.51), and relatively low divergence in functional attributes (surface: 0.04 ± 0.01; bottom: 0.04 ± 0.01) in the two lakes' surface and bottom waters, providing further support for the presence of partial functional redundancy. This study enriches our understanding of community functional relationships and establishes the presence of partial functional redundancy in freshwater ecosystems.
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Affiliation(s)
- Kshitij Tandon
- Biodiversity Research Center, Academia Sinica, Taipei 11529, Taiwan; Bioinformatics Program, Institute of Information Science, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan; Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu 300, Taiwan
| | - Min-Tao Wan
- EcoHealth Microbiology Laboratory, WanYu Co., Ltd., Chiayi 600, Taiwan
| | - Chia-Chin Yang
- Biodiversity Research Center, Academia Sinica, Taipei 11529, Taiwan
| | - Shan-Hua Yang
- Institute of Fisheries Science, National Taiwan University, Taipei 10617, Taiwan
| | | | - Chih-Yu Chiu
- Biodiversity Research Center, Academia Sinica, Taipei 11529, Taiwan
| | - Jeng-Wei Tsai
- China Medical University, Department of Biological Science and Technology, Taichung 404, Taiwan
| | - Wen-Cheng Liu
- Department of Civil and Disaster Prevention Engineering, National United University, Miao-Li, Taiwan
| | - Chen Siang Ng
- Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu 300, Taiwan
| | - Sen-Lin Tang
- Biodiversity Research Center, Academia Sinica, Taipei 11529, Taiwan; Bioinformatics Program, Institute of Information Science, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan.
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