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Tang X, Zhang M, Fang Z, Yang Q, Zhang W, Zhou J, Zhao B, Fan T, Wang C, Zhang C, Xia Y, Zheng Y. Changing microbiome community structure and functional potential during permafrost thawing on the Tibetan Plateau. FEMS Microbiol Ecol 2023; 99:fiad117. [PMID: 37766397 DOI: 10.1093/femsec/fiad117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 09/13/2023] [Accepted: 09/27/2023] [Indexed: 09/29/2023] Open
Abstract
Large amounts of carbon sequestered in permafrost on the Tibetan Plateau (TP) are becoming vulnerable to microbial decomposition in a warming world. However, knowledge about how the responsible microbial community responds to warming-induced permafrost thaw on the TP is still limited. This study aimed to conduct a comprehensive comparison of the microbial communities and their functional potential in the active layer of thawing permafrost on the TP. We found that the microbial communities were diverse and varied across soil profiles. The microbial diversity declined and the relative abundance of Chloroflexi, Bacteroidetes, Euryarchaeota, and Bathyarchaeota significantly increased with permafrost thawing. Moreover, warming reduced the similarity and stability of active layer microbial communities. The high-throughput qPCR results showed that the abundance of functional genes involved in liable carbon degradation and methanogenesis increased with permafrost thawing. Notably, the significantly increased mcrA gene abundance and the higher methanogens to methanotrophs ratio implied enhanced methanogenic activities during permafrost thawing. Overall, the composition and functional potentials of the active layer microbial community in the Tibetan permafrost region are susceptible to warming. These changes in the responsible microbial community may accelerate carbon degradation, particularly in the methane releases from alpine permafrost ecosystems on the TP.
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Affiliation(s)
- Xiaotong Tang
- State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Miao Zhang
- School of Environmental Science and Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Zhengkun Fang
- State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Qing Yang
- School of Environmental Science and Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Wan Zhang
- Shenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Jiaxing Zhou
- State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Bixi Zhao
- School of Environmental Science and Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Tongyu Fan
- State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Congzhen Wang
- State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Chuanlun Zhang
- Shenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yu Xia
- School of Environmental Science and Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yanhong Zheng
- State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, Shaanxi 710069, China
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Fu S, Wang R, Xu Z, Zhou H, Qiu Z, Shen L, Yang Q. Metagenomic sequencing combined with flow cytometry facilitated a novel microbial risk assessment framework for bacterial pathogens in municipal wastewater without cultivation. IMETA 2023; 2:e77. [PMID: 38868349 PMCID: PMC10989823 DOI: 10.1002/imt2.77] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/05/2022] [Accepted: 12/07/2022] [Indexed: 06/14/2024]
Abstract
A workflow that combined metagenomic sequencing with flow cytometry was developed. The absolute abundance of pathogens was accurately estimated in mock communities and real samples. Metagenome-assembled genomes binned from metagenomic data set is robust in phylogenetic analysis and virulence profiling.
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Affiliation(s)
- Songzhe Fu
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of EducationDalian Ocean UniversityDalianChina
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of EducationNorthwest UniversityXi'anChina
| | - Rui Wang
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of EducationDalian Ocean UniversityDalianChina
| | - Zheng Xu
- Shenzhen Yantian District People's HospitalShenzhenChina
- Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenChina
| | - Huiwen Zhou
- College of Life Science and HealthNortheastern UniversityShenyangChina
| | - Zhiguang Qiu
- School of Environment and Energy, Shenzhen Graduate SchoolPeking UniversityShenzhenChina
| | - Lixin Shen
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of EducationNorthwest UniversityXi'anChina
| | - Qian Yang
- Center for Microbial Ecology and Technology (CMET)Ghent UniversityGentBelgium
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Xia Y, Li X, Wu Z, Nie C, Cheng Z, Sun Y, Liu L, Zhang T. Strategies and tools in illumina and nanopore-integrated metagenomic analysis of microbiome data. IMETA 2023; 2:e72. [PMID: 38868337 PMCID: PMC10989838 DOI: 10.1002/imt2.72] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/10/2022] [Accepted: 11/28/2022] [Indexed: 06/14/2024]
Abstract
Metagenomic strategy serves as the foundation for the ecological exploration of novel bioresources (e.g., industrial enzymes and bioactive molecules) and biohazards (e.g., pathogens and antibiotic resistance genes) in natural and engineered microbial systems across multiple disciplines. Recent advancements in sequencing technology have fostered rapid development in the field of microbiome research where an increasing number of studies have applied both illumina short reads (SRs) and nanopore long reads (LRs) sequencing in their metagenomic workflow. However, given the high complexity of an environmental microbiome data set and the bioinformatic challenges caused by the unique features of these sequencing technologies, integrating SRs and LRs is not as straightforward as one might assume. The fast renewal of existing tools and growing diversity of new algorithms make access to this field even more difficult. Therefore, here we systematically summarized the complete workflow from DNA extraction to data processing strategies for applying illumina and nanopore-integrated metagenomics in the investigation in environmental microbiomes. Overall, this review aims to provide a timely knowledge framework for researchers that are interested in or are struggling with the SRs and LRs integration in their metagenomic analysis. The discussions presented will facilitate improved ecological understanding of community functionalities and assembly of natural, engineered, and human microbiomes, benefiting researchers from multiple disciplines.
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Affiliation(s)
- Yu Xia
- School of Environmental Science and Engineering, College of EngineeringSouthern University of Science and TechnologyShenzhenChina
- State Environmental Protection Key Laboratory of Integrated Surface Water‐Groundwater Pollution Control, School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhenChina
- Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhenChina
| | - Xiang Li
- School of Environmental Science and Engineering, College of EngineeringSouthern University of Science and TechnologyShenzhenChina
| | - Ziqi Wu
- School of Environmental Science and Engineering, College of EngineeringSouthern University of Science and TechnologyShenzhenChina
| | - Cailong Nie
- School of Environmental Science and Engineering, College of EngineeringSouthern University of Science and TechnologyShenzhenChina
| | - Zhanwen Cheng
- School of Environmental Science and Engineering, College of EngineeringSouthern University of Science and TechnologyShenzhenChina
| | - Yuhong Sun
- School of Environmental Science and Engineering, College of EngineeringSouthern University of Science and TechnologyShenzhenChina
| | - Lei Liu
- Environmental Microbiome Engineering and Biotechnology LaboratoryThe University of Hong KongHong Kong SARChina
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology LaboratoryThe University of Hong KongHong Kong SARChina
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Lv Z, Gu Y, Chen S, Chen J, Jia Y. Effects of autumn diurnal freeze–thaw cycles on soil bacteria and greenhouse gases in the permafrost regions. Front Microbiol 2022; 13:1056953. [DOI: 10.3389/fmicb.2022.1056953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/02/2022] [Indexed: 12/05/2022] Open
Abstract
Understanding the impacts of diurnal freeze–thaw cycles (DFTCs) on soil microorganisms and greenhouse gas emissions is crucial for assessing soil carbon and nitrogen cycles in the alpine ecosystems. However, relevant studies in the permafrost regions in the Qinghai-Tibet Plateau (QTP) are still lacking. In this study, we used high-throughput pyrosequencing and static chamber-gas chromatogram to study the changes in topsoil bacteria and fluxes of greenhouse gases, including carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), during autumn DFTCs in the permafrost regions of the Shule River headwaters on the western part of Qilian Mountains, northeast margin of the QTP. The results showed that the bacterial communities contained a total of 35 phyla, 88 classes, 128 orders, 153 families, 176 genera, and 113 species. The dominant phyla were Proteobacteria, Acidobacteria, Actinobacteria, Chloroflexi, and Gemmatimonadetes. Two DFTCs led to a trend of increasing bacterial diversity and significant changes in the relative abundance of 17 known bacteria at the family, genus, and species levels. These were predominantly influenced by soil temperature, water content, and salinity. In addition, CO2 flux significantly increased while CH4 flux distinctly decreased, and N2O flux tended to increase after two DFTCs, with soil bacteria being the primary affecting variable. This study can provide a scientific insight into the impact of climate change on biogeochemical cycles of the QTP.
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The Role of Thermokarst Lake Expansion in Altering the Microbial Community and Methane Cycling in Beiluhe Basin on Tibetan Plateau. Microorganisms 2022; 10:microorganisms10081620. [PMID: 36014037 PMCID: PMC9412574 DOI: 10.3390/microorganisms10081620] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/05/2022] [Accepted: 08/07/2022] [Indexed: 11/16/2022] Open
Abstract
One of the most significant environmental changes across the Tibetan Plateau (TP) is the rapid lake expansion. The expansion of thermokarst lakes affects the global biogeochemical cycles and local climate regulation by rising levels, expanding area, and increasing water volumes. Meanwhile, microbial activity contributes greatly to the biogeochemical cycle of carbon in the thermokarst lakes, including organic matter decomposition, soil formation, and mineralization. However, the impact of lake expansion on distribution patterns of microbial communities and methane cycling, especially those of water and sediment under ice, remain unknown. This hinders our ability to assess the true impact of lake expansion on ecosystem services and our ability to accurately investigate greenhouse gas emissions and consumption in thermokarst lakes. Here, we explored the patterns of microorganisms and methane cycling by investigating sediment and water samples at an oriented direction of expansion occurred from four points under ice of a mature-developed thermokarst lake on TP. In addition, the methane concentration of each water layer was examined. Microbial diversity and network complexity were different in our shallow points (MS, SH) and deep points (CE, SH). There are differences of microbial community composition among four points, resulting in the decreased relative abundances of dominant phyla, such as Firmicutes in sediment, Proteobacteria in water, Thermoplasmatota in sediment and water, and increased relative abundance of Actinobacteriota with MS and SH points. Microbial community composition involved in methane cycling also shifted, such as increases in USCγ, Methylomonas, and Methylobacter, with higher relative abundance consistent with low dissolved methane concentration in MS and SH points. There was a strong correlation between changes in microbiota characteristics and changes in water and sediment environmental factors. Together, these results show that lake expansion has an important impact on microbial diversity and methane cycling.
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