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Temporal dynamics of bacterial communities in surface water and groundwater in the densely populated area of the Jianghan Plain
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Jialin TIAN, Dongliang CHU, Haohong ZHANG, Kang NING*
Acta Microbiologica Sinica | 2024, 64(12) : 4936 - 4951
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Acta Microbiologica Sinica | 2024, 64(12): 4936-4951
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Temporal dynamics of bacterial communities in surface water and groundwater in the densely populated area of the Jianghan Plain
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Jialin TIAN, Dongliang CHU, Haohong ZHANG, Kang NING*
Affiliations
  • Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center of Artificial Intelligence Biology, Department of Bioinformatics and System Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
Published: 2024-08-26 doi: 10.13343/j.cnki.wsxb.20240404
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[Objective] To reveal the dynamics of bacterial communities in surface water and groundwater in the densely populated area of the Jianghan Plain across seasons and explore the underlying factors causing the temporal variations. [Methods] Water samples were collected from both surface water and groundwater in the densely populated area of the Jianghan Plain, and metagenomic sequencing was employed to investigate the seasonal variations of bacterial communities. The variations in environmental factors, bacterial community structure, and bacterial community assembly processes in the surface water and groundwater were compared considering rainy and dry seasons. [Results] For the surface water, the salinity (P < 0.01) and conductivity (P < 0.01) during the rainy season were lower than those during the dry season, while no significant seasonal variation was observed in turbidity. For the groundwater, the turbidity was higher in the rainy season than in the dry season (P < 0.05), while neither salinity nor conductivity showcased seasonal variations. The Shannon index of bacteria in the surface water in the rainy season was higher than that in the dry season (P < 0.01), whereas that in the groundwater presented no significant seasonal difference. The principal coordinates analysis and permutational multivariate analysis of variance (P=0.001) revealed significant seasonal variations in bacterial communities between surface water and groundwater. The Mantel test showed no significant correlations between the bacterial community in the groundwater and environmental factors during the dry season, while other communities were significantly correlated with at least one environmental factor. The neutral community model, modified stochasticity ratio (MST), and β nearest taxon index all indicated that stochastic processes exerted stronger effects on the bacterial community in the surface water during the rainy season than during the dry season, and the trend was similar but not significant for the bacterial community in the groundwater. The migration rate of surface water was higher during the rainy season than during the dry season, whereas that of groundwater showed an opposite trend. (5) The seasonal variations in the diversity of antibiotic resistance genes exhibited a negative correlation with MST (ρ=−0.164, P=4.942E−2) in the surface water, whereas the correlation was positive in the groundwater (ρ=0.393, P=1.452E−6). [Conclusion] The temporal dynamics of bacterial communities in surface water and groundwater in the densely populated area of the Jianghan Plain showed notable differences. These differences can potentially be attributed to distinct basic properties between surface water and groundwater, frequent environmental disturbances during the rainy season, and water exchange processes between surface water and groundwater.

microbial community  /  surface water  /  groundwater  /  metagenome  /  antibiotic resistance gene  /  the Jianghan Plain
Jialin TIAN, Dongliang CHU, Haohong ZHANG, Kang NING. Temporal dynamics of bacterial communities in surface water and groundwater in the densely populated area of the Jianghan Plain[J]. Acta Microbiologica Sinica, 2024 , 64 (12) : 4936 -4951 . DOI: 10.13343/j.cnki.wsxb.20240404
  • National Natural Science Foundation of China(32071465)
  • National Natural Science Foundation of China(31871334)
  • National Key Research and Development Program of China(2023YFA1800900)
  • National Key Research and Development Program of China(2018YFC0910502)
Year 2024 volume 64 Issue 12
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Article Info
doi: 10.13343/j.cnki.wsxb.20240404
  • Receive Date:2024-07-01
  • Online Date:2026-03-21
  • Published:2024-08-26
Article Data
Affiliations
History
  • Received:2024-07-01
  • Accepted:2024-08-22
Funding
National Natural Science Foundation of China(32071465)
National Natural Science Foundation of China(31871334)
National Key Research and Development Program of China(2023YFA1800900)
National Key Research and Development Program of China(2018YFC0910502)
Affiliations
    Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center of Artificial Intelligence Biology, Department of Bioinformatics and System Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China

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*NING Kang, Tel: +86-27-87793041, E-mail:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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