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Aji LP, Maas DL, Capriati A, Ahmad A, de Leeuw C, Becking LE. Shifts in dominance of benthic communities along a gradient of water temperature and turbidity in tropical coastal ecosystems. PeerJ 2024; 12:e17132. [PMID: 38666078 PMCID: PMC11044884 DOI: 10.7717/peerj.17132] [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: 11/20/2023] [Accepted: 02/27/2024] [Indexed: 04/28/2024] Open
Abstract
Tropical coastal benthic communities will change in species composition and relative dominance due to global (e.g., increasing water temperature) and local (e.g., increasing terrestrial influence due to land-based activity) stressors. This study aimed to gain insight into possible trajectories of coastal benthic assemblages in Raja Ampat, Indonesia, by studying coral reefs at varying distances from human activities and marine lakes with high turbidity in three temperature categories (<31 °C, 31-32 °C, and >32 °C). The benthic community diversity and relative coverage of major benthic groups were quantified via replicate photo transects. The composition of benthic assemblages varied significantly among the reef and marine lake habitats. The marine lakes <31 °C contained hard coral, crustose coralline algae (CCA), and turf algae with coverages similar to those found in the coral reefs (17.4-18.8% hard coral, 3.5-26.3% CCA, and 15-15.5% turf algae, respectively), while the higher temperature marine lakes (31-32 °C and >32 °C) did not harbor hard coral or CCA. Benthic composition in the reefs was significantly influenced by geographic distance among sites but not by human activity or depth. Benthic composition in the marine lakes appeared to be structured by temperature, salinity, and degree of connection to the adjacent sea. Our results suggest that beyond a certain temperature (>31 °C), benthic communities shift away from coral dominance, but new outcomes of assemblages can be highly distinct, with a possible varied dominance of macroalgae, benthic cyanobacterial mats, or filter feeders such as bivalves and tubeworms. This study illustrates the possible use of marine lake model systems to gain insight into shifts in the benthic community structure of tropical coastal ecosystems if hard corals are no longer dominant.
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Affiliation(s)
- Ludi Parwadani Aji
- Wageningen University and Research, Wageningen, The Netherlands
- Naturalis Biodiversity Center, Leiden, The Netherlands
- Research Center for Oceanography, National Research and Innovation Agency, Jakarta, Indonesia
| | | | | | | | | | - Leontine Elisabeth Becking
- Wageningen University and Research, Wageningen, The Netherlands
- Naturalis Biodiversity Center, Leiden, The Netherlands
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2
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Chen S, Liu H, Zhang H, Li K, Wang N, Sun W, Liu X, Niu L, Ma B, Yang F, Li H, Zhao D, Xing Y. Temporal patterns of algae in different urban lakes and their correlations with environmental variables in Xi'an, China. J Environ Sci (China) 2023; 133:138-151. [PMID: 37451783 DOI: 10.1016/j.jes.2022.07.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 07/18/2023]
Abstract
Urban lakes were critical in aquatic ecology environments, but how environmental factors affected the distribution and change characteristics of algal communities in urban lakes of Xi'an city was not clearly. Here, we investigated the algal community structure of six urban lakes in Xi'an and evaluated the effects of water quality parameters on algae. The results indicated that the significant differences on physicochemical parameters existed in different urban lakes. The maximum concentration of total phosphorus in urban lakes was (0.18 ± 0.01) mg/L and there was a phenomenon of phosphorus limitation. In addition, 51 genera of algae were identified and Chlorella sp. was the dominant algal species, which was affiliated with Chlorophyta. Network analysis elucidated that each lake had a unique algal community network and the positive correlation was dominant in the interaction between algae species, illustrating that mature microbial communities existed or occupied similar niches. Redundancy analysis illustrated that environmental factors explained 47.35% variance of algal species-water quality correlation collectively, indicating that water quality conditions had a significant influence on the temporal variations of algae. Structural equation model further verified that algal community structure was directly or indirectly regulated by different water quality conditions. Our study shows that temporal patterns of algal communities can reveal the dynamics and interactions of different urban ecosystem types, providing a theoretical basis for assessing eutrophication levels and for water quality management.
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Affiliation(s)
- Shengnan Chen
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
| | - Hanyan Liu
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Haihan Zhang
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Kai Li
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Na Wang
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Weimin Sun
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Xiang Liu
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Limin Niu
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Ben Ma
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Fan Yang
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Haiyun Li
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Daijuan Zhao
- Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Yan Xing
- Shaanxi Environmental Monitoring Center, Xi'an 710054, China
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3
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Huang J, Yang J, Han M, Wang B, Sun X, Jiang H. Microbial carbon fixation and its influencing factors in saline lake water. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 877:162922. [PMID: 36933719 DOI: 10.1016/j.scitotenv.2023.162922] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/12/2023] [Accepted: 03/13/2023] [Indexed: 05/06/2023]
Abstract
Microbial carbon fixation in saline lakes constitutes an important part of the global lacustrine carbon budget. However, the microbial inorganic carbon uptake rates in saline lake water and its influencing factors are still not fully understood. Here, we studied in situ microbial carbon uptake rates under light-dependent and dark conditions in the saline water of Qinghai Lake using a carbon isotopic labeling (14C-bicarbonate) technique, followed by geochemical and microbial analyses. The results showed that the light-dependent inorganic carbon uptake rates were 135.17-293.02 μg C L-1 h-1 during the summer cruise, while dark inorganic carbon uptake rates ranged from 4.27 to 14.10 μg C L-1 h-1. Photoautotrophic prokaryotes and algae (e.g. Oxyphotobacteria, Chlorophyta, Cryptophyta and Ochrophyta) may be the major contributors to light-dependent carbon fixation processes. Microbial inorganic carbon uptake rates were mainly influenced by the level of nutrients (e.g., ammonium, dissolved inorganic carbon, dissolved organic carbon, total nitrogen), with dissolved inorganic carbon content being predominant. Environmental and microbial factors jointly regulate the total, light-dependent and dark inorganic carbon uptake rates in the studied saline lake water. In summary, microbial light-dependent and dark carbon fixation processes are active and contribute significantly to carbon sequestration in saline lake water. Therefore, more attention should be given to microbial carbon fixation and its response to climate and environmental changes of the lake carbon cycle in the context of climate change.
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Affiliation(s)
- Jianrong Huang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Jian Yang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Mingxian Han
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Beichen Wang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Xiaoxi Sun
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Hongchen Jiang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China; Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining 810008, China.
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4
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Li X, Liu Q, Yu X, Zhang C, Liu M, Zhou X, Gu C, Wang M, Shao H, Li J, Jiang Y. Spatial pattern and co-occurrence network of microbial community in response to extreme environment of salt lakes on the Qinghai-Tibet Plateau. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:20615-20630. [PMID: 36255574 DOI: 10.1007/s11356-022-23572-x] [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: 01/19/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
Microbial communities are important components of alpine lakes, especially in extreme environments such as salt lakes. However, few studies have examined the co-occurrence network of microbial communities and various environmental factors in the water of salt lakes on the Qinghai-Tibet Plateau. From May to June 2019, nine samples from seven salt lakes with water salinity ranges from 13 to 267‰ on the Qinghai-Tibet Plateau were collected. There were great differences between low-salinity samples and high-salinity samples in the inorganic salt ion concentration, pH, and biodiversity. In addition, the microbial community sturcture in low-salinity samples and high-salinity samples differed, suggesting that each sample has its own specific species. The co-occurrence network suggests that salinity was the most important forcing factor. We believe that salinity and inorganic salt ions can result in differences in microbial community in different salt lakes. This sequencing survey of multiple salt lakes with various salinities on the Qinghai-Tibet Plateau enhances our understanding of the response of microbial communities to environmental heterogeneity.
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Affiliation(s)
- Xianrong Li
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
| | - Qian Liu
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
| | - Xiaowen Yu
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
| | - Chenru Zhang
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
| | - Mingjian Liu
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
| | - Xinhao Zhou
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
| | - Chengxiang Gu
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
| | - Min Wang
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ocean University of China, Qingdao, 2661000, China
| | - Hongbing Shao
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China
| | - Jiansen Li
- Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining, 810008, China
| | - Yong Jiang
- College of Marine Life Sciences & Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China.
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5
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Jia J, Wang Y, Lu Y, Sun K, Lyu S, Gao Y. Driving mechanisms of gross primary productivity geographical patterns for Qinghai-Tibet Plateau lake systems. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 791:148286. [PMID: 34118660 DOI: 10.1016/j.scitotenv.2021.148286] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 05/25/2021] [Accepted: 06/01/2021] [Indexed: 06/12/2023]
Abstract
Being a fundamental property of aquatic systems, gross primary productivity (GPP) is affected by complex environmental factors, such as salinity, nutrients, pH, and sunlight. Under conditions of intensified anthropogenic activity and climate change, it is critical to understand the driving mechanisms of GPP in alpine lakes. In this study, we investigated GPP and associated environmental factors of 23 lake systems in the Qinghai-Tibet Plateau (QTP) along an altitudinal range (from 2500 m to 4500 m). Results showed an increase in chlorophyll a (Chl a) content as altitude increased and a corresponding decrease as salinity increased. Furthermore, geographical patterns of GPP were higher at the mid-gradient and lower at the extreme gradient. Higher solar radiation and water temperatures, stronger evaporation and higher salinity levels, and lower pH and higher nutrient content were all driving mechanisms of GPP in low altitudinal lake systems within high latitudinal regions. Such conditions have collectively resulted in the current GPP pattern via the promotion or inhibition of phytoplankton growth and photosynthesis. Specifically, geographical features and climate change jointly drive algal growth and GPP of alpine lake systems via internal circulation processes; however, anthropogenic activities interfere with external circulation processes for most of lower-middle altitudinal lake systems, thus playing a certain role in regulating environmental factors and GPP alongside climate change.
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Affiliation(s)
- Junjie Jia
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Yafeng Wang
- Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Yao Lu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Kun Sun
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Sidan Lyu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Yang Gao
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
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6
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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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Water quality drives the regional patterns of an algal metacommunity in interconnected lakes. Sci Rep 2021; 11:13601. [PMID: 34193969 PMCID: PMC8245656 DOI: 10.1038/s41598-021-93178-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 06/17/2021] [Indexed: 11/17/2022] Open
Abstract
The metacommunity approach provides insights into how the biological communities are assembled along the environmental variations. The current study presents the importance of water quality on the metacommunity structure of algal communities in six river-connected lakes using long-term (8 years) monitoring datasets. Elements of metacommunity structure were analyzed to evaluate whether water quality structured the metacommunity across biogeographic regions in the riverine ecosystem. The algal community in all lakes was found to exhibit Clementsian or quasi-Clementsian structure properties such as significant turnover, grouped and species sorting indicating that the communities responded to the environmental gradient. Reciprocal averaging clearly classified the lakes into three clusters according to the geographical region in river flow (upstream, midstream, and downstream). The dispersal patterns of algal genera, including Aulacoseira, Cyclotella, Stephanodiscus, and Chlamydomonas across the regions also supported the spatial-based classification results. Although conductivity, chemical oxygen demand, and biological oxygen demand were found to be important variables (loading > |0.5|) of the entire algal community assembly, water temperature was a critical factor in water quality associated with community assembly in each geographical area. These results support the notion that the structure of algal communities is strongly associated with water quality, but the relative importance of variables in structuring algal communities differed by geological regions.
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Wang B, Huang J, Yang J, Jiang H, Xiao H, Han J, Zhang X. Bicarbonate uptake rates and diversity of RuBisCO genes in saline lake sediments. FEMS Microbiol Ecol 2021; 97:6149456. [PMID: 33629724 DOI: 10.1093/femsec/fiab037] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 02/23/2021] [Indexed: 11/12/2022] Open
Abstract
There is limited knowledge of microbial carbon fixation rate, and carbon-fixing microbial abundance and diversity in saline lakes. In this study, the inorganic carbon uptake rates and carbon-fixing microbial populations were investigated in the surface sediments of lakes with a full range of salinity from freshwater to salt saturation. The results showed that in the studied lakes light-dependent bicarbonate uptake contributed substantially (>70%) to total bicarbonate uptake, while the contribution of dark bicarbonate uptake (1.35-25.17%) cannot be ignored. The light-dependent bicarbonate uptake rates were significantly correlated with pH and turbidity, while dark bicarbonate uptake rates were significantly influenced by dissolved inorganic carbon, pH, temperature and salinity. Carbon-fixing microbial populations using the Calvin-Benson-Bassham pathway were widespread in the studied lakes, and they were dominated by the cbbL and cbbM gene types affiliated with Cyanobacteria and Proteobacteria, respectively. The cbbL and cbbM gene abundance and population structures were significantly affected by different environmental variables, with the cbbL and cbbM genes being negatively correlated with salinity and organic carbon concentration, respectively. In summary, this study improves our knowledge of the abundance, diversity and function of carbon-fixing microbial populations in the lakes with a full range of salinity.
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Affiliation(s)
- Beichen Wang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Jianrong Huang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Jian Yang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Hongchen Jiang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China.,State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
| | - Haiyi Xiao
- Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Jibin Han
- Key Laboratory of Salt Lake Geology and Environment of Qinghai Province, Qinghai Institute of Salt Lakes, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Xining 81008, China
| | - Xiying Zhang
- Key Laboratory of Salt Lake Geology and Environment of Qinghai Province, Qinghai Institute of Salt Lakes, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Xining 81008, China
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9
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Zhu D, Shen G, Wang Z, Han R, Long Q, Gao X, Xing J, Li Y, Wang R. Distinctive distributions of halophilic Archaea across hypersaline environments within the Qaidam Basin of China. Arch Microbiol 2021; 203:2029-2042. [PMID: 33554274 DOI: 10.1007/s00203-020-02181-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 11/12/2020] [Accepted: 12/31/2020] [Indexed: 10/22/2022]
Abstract
Halophilic Archaea are widely distributed globally in hypersaline environments. However, little is known of how dominant halophilic archaeal genera are distributed across environments and how they may co-associate across ecosystems. Here, the archaeal community composition and diversity from hypersaline environments (> 300 g/L salinity; total of 33 samples) in the Qaidam Basin of China were investigated using high-throughput Illumina sequencing of 16S rRNA genes. The archaeal communities (total of 3,419 OTUs) were dominated by the class Halobacteria (31.7-99.6% relative abundances) within the phylum Euryarchaeota (90.8-99.9%). Five predominant taxa, including Halorubrum, Halobacterium, Halopenitus, Methanothrix, and Halomicrobium, were observed across most samples. However, several distinct genera were associated with individual samples and were inconsistently distributed across samples, which contrast with previous studies of hypersaline archaeal communities. Additionally, co-occurrence network analysis indicated that five network clusters were present and potentially reflective of interspecies interactions among the environments, including three clusters (clusters II, III, and IV) comprising halophilic archaeal taxa within the Halobacteriaceae and Haloferacaceae families. In addition, two other clusters (clusters I and V) were identified that comprised methanogens. Finally, salinity comprising ionic concentrations (in the order of Na+ > Ca2+ > Mg2+) and pH were most correlated with taxonomic distributions across sample sites.
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Affiliation(s)
- Derui Zhu
- Research Center of Basic Medical Science, Medical College, Qinghai University, Xining, 810016, Qinghai, China
| | - Guoping Shen
- Research Center of Basic Medical Science, Medical College, Qinghai University, Xining, 810016, Qinghai, China
| | - Zhibo Wang
- Research Center of Basic Medical Science, Medical College, Qinghai University, Xining, 810016, Qinghai, China
| | - Rui Han
- Qinghai Key Laboratory of Vegetable Genetics and Physiology, Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, 810016, Qinghai, China
| | - Qifu Long
- Research Center of Basic Medical Science, Medical College, Qinghai University, Xining, 810016, Qinghai, China
| | - Xiang Gao
- Research Center of Basic Medical Science, Medical College, Qinghai University, Xining, 810016, Qinghai, China
| | - Jiangwa Xing
- Research Center of Basic Medical Science, Medical College, Qinghai University, Xining, 810016, Qinghai, China
| | - Yongzhen Li
- Research Center of Basic Medical Science, Medical College, Qinghai University, Xining, 810016, Qinghai, China
| | - Rong Wang
- Research Center of Basic Medical Science, Medical College, Qinghai University, Xining, 810016, Qinghai, China.
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10
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Zhang H, Zong R, He H, Liu K, Yan M, Miao Y, Ma B, Huang X. Biogeographic distribution patterns of algal community in different urban lakes in China: Insights into the dynamics and co-existence. J Environ Sci (China) 2021; 100:216-227. [PMID: 33279034 DOI: 10.1016/j.jes.2020.07.024] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/25/2020] [Accepted: 07/30/2020] [Indexed: 06/12/2023]
Abstract
Urban lake ecosystems are significant for social development, but currently we know little about the geographical distribution of algal community in urban lakes at a large-scale. In this study, we investigated the algal community structure in different areas of urban lakes in China and evaluated the influence of water quality parameters and geographical location on the algal community. The results showed that obvious differences in water quality and algal communities were observed among urban lakes in different geographical areas. Chlorophyta was the dominant phylum, followed by cyanobacteria in all areas. The network analysis indicated that algal community composition in urban lakes of the western and southern area showed more variations than the eastern and northern areas, respectively. Redundancy analysis and structural equation model revealed that nutrients and pH were dominant environmental factors that affected the algal community, and they showed higher influence than that of iron, manganese and COD Mn concentration. Importantly, algal community and density exhibited longitude and latitude relationship. In general, these results provided an ecological insight into large-scale geographical distributions of algal community in urban lakes, thereby having potential applications for management of the lakes.
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Affiliation(s)
- Haihan Zhang
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China.; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
| | - Rongrong Zong
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China.; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Huiyan He
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China.; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Kaiwen Liu
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China.; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Miaomiao Yan
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China.; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Yutian Miao
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China.; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Ben Ma
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China.; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Xin Huang
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an 710055, China.; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
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11
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Yang J, Jiang H, Sun X, Huang J, Han M, Wang B. Distinct co-occurrence patterns of prokaryotic community between the waters and sediments in lakes with different salinity. FEMS Microbiol Ecol 2020; 97:5989694. [PMID: 33206972 DOI: 10.1093/femsec/fiaa234] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 11/16/2020] [Indexed: 11/13/2022] Open
Abstract
Temporal variations and co-occurrence patterns of the prokaryotic community in saline lakes remain elusive. In this study, we investigated the temporal variations of the prokaryotic community in six lakes with different salinity by using Illumina sequencing. The results showed that prokaryotic community compositions exhibited temporal variations in all studied lakes, which may be partially caused by temporal fluctuations of environmental variables (e.g. salinity, temperature, total nitrogen). Salinity fluctuations exhibited stronger influences on temporal variations of prokaryotic community composition in the lakes with low salinity than in those with high salinity. Stochastic factors (i.e. neutral processes) also contributed to temporal variations of prokaryotic community composition, and their contributions decreased with increasing salinity in the studied saline lakes. Network analysis showed that prokaryotic co-occurrence networks of the studied lakes exhibited non-random topology. Salinity affected the phylogenetic composition of nodes in the studied networks. The topological features (e.g. average connectivity and modularity) of the studied networks significantly differed between lake waters and sediments. Collectively, these results expand our knowledge of the mechanisms underlying prokaryotic community assembly and co-occurrence relationships in saline lakes with different salinity.
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Affiliation(s)
- Jian Yang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China
| | - Hongchen Jiang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China.,Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
| | - Xiaoxi Sun
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China
| | - Jianrong Huang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China
| | - Mingxian Han
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China
| | - Beichen Wang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China
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12
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Ding X, Liu K, Gong G, Tian L, Ma J. Volatile organic compounds in the salt-lake sediments of the Tibet Plateau influence prokaryotic diversity and community assembly. Extremophiles 2020; 24:307-318. [PMID: 32025854 DOI: 10.1007/s00792-020-01155-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 01/06/2020] [Indexed: 11/30/2022]
Abstract
Volatile organic compounds (VOCs) are important environmental factors because they supply nutrients for microbial cells and mediate intercellular interactions. However, few studies have focused on the effects of VOCs on prokaryotic diversity and community composition. In this study, we examined the relationship between prokaryotic diversity and community composition and the content of VOCs in salt-lake sediments from the Tibet Plateau using amplicon sequencing of the 16S rRNA gene. Results showed that the alpha-diversity indices (Chao1, Shannon, and Simpson) were generally negatively correlated with the content of 36 VOCs (P < 0.05). The prokaryotic communities were significantly driven by multiple VOCs at the lineage-dependent pattern (P < 0.05). Further analysis indicated that VOCs, including 3-methylpyruvate, biuret, isocitric acid, and stearic acid, jointly explained 37.3% of the variations in prokaryotic communities. Supplemental VOCs-pyruvate, biuret, alanine, and aspartic acid-notably decreased the Chao1 and Shannon indices and significantly assembled co-occurrence networks for the bacterial communities in the saline sediments. Together, these results demonstrated that VOCs play a critical role in the regulation of the diversity, compositions, and network structures of prokaryotic communities in saline sediments.
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Affiliation(s)
- Xiaowei Ding
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China
| | - Kaihui Liu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.
| | - Guoli Gong
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China
| | - Lu Tian
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China
| | - Jun Ma
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China
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