神农架大九湖泥炭孔隙水中微生物的碳代谢特征

田文; 王红梅; 向兴; 王锐诚; 黄咸雨

doi:10.3799/dqkx.2023.112

Volume 49 Issue 9

Sep. 2024

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Tian Wen, Wang Hongmei, Xiang Xing, Wang Ruicheng, Huang Xianyu, 2024. Characteristics of Microbial Carbon Utilization in Peat Pore Water in the Dajiuhu Peatland, Shennongjia. Earth Science, 49(9): 3241-3251. doi: 10.3799/dqkx.2023.112

Citation:

Tian Wen, Wang Hongmei, Xiang Xing, Wang Ruicheng, Huang Xianyu, 2024. Characteristics of Microbial Carbon Utilization in Peat Pore Water in the Dajiuhu Peatland, Shennongjia. Earth Science, 49(9): 3241-3251. doi: 10.3799/dqkx.2023.112

Citation:

Tian Wen, Wang Hongmei, Xiang Xing, Wang Ruicheng, Huang Xianyu, 2024. Characteristics of Microbial Carbon Utilization in Peat Pore Water in the Dajiuhu Peatland, Shennongjia. Earth Science, 49(9): 3241-3251. doi: 10.3799/dqkx.2023.112

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Characteristics of Microbial Carbon Utilization in Peat Pore Water in the Dajiuhu Peatland, Shennongjia

doi: 10.3799/dqkx.2023.112

Tian Wen^{1, 2
,
,},
Wang Hongmei^{3
,
,},
Xiang Xing⁴,
Wang Ruicheng³,
Huang Xianyu²

1.
College of Resource and Environment, Anhui Science and Technology University, Chuzhou 233100, China
2.
Hubei Key Laboratory of Critical Zone Evolution, China University of Geosciences, Wuhan 430078, China
3.
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, China
4.
College of Life Science, Shangrao Normal University, Shangrao 334001, China

Received Date: 2023-02-28
Available Online: 2024-10-16
Publish Date: 2024-09-25

Abstract

Abstract

In order to investigate the characteristics of microbial carbon metabolic activity in peatlands with water table fluctuation, microbial community-level physiological proﬁling of peat pore water was determined with the different water table levels using Biolog-Eco microplate technology in the Dajiuhu Peatland, Shennongjia Forestry District. The results show that the rate and diversity of microbial carbon utilization at the mediate water table were the highest, followed by the low water table, with the lowest at the high water table. Esters (pyruvic acid methyl ester, Tween 40, Tween 80 and D-Galactonic acid γ-lactone), amino acids (L-arginine, L-asparagine, L-phenylalanine, L-serine and glycyl-L-glutamic acid) and amines (phenylethylamine, putrescine and N-acetyl-D-glucosamine) were the main contributors to the variations in microbial carbon utilization of peat pore water. Redundancy analysis and fitting regression model indicate that electrical conductivity (F=3.2, P=0.018) and oxidation-reduction potential (F=2.6, P=0.044) driven by water table level affected microbial carbon utilization of peat pore water. This study reveals the effect of water table fluctuation on microbial carbon utilization in peat pore water, which enriches our understanding of carbon cycle in peatlands in the context of global climate change.
- peatland,
- pore water,
- water table level,
- Biolog-Eco microplate,
- carbon utilization,
- carbon cycle,
- environmental microbiology

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References(49)

References

Barel, J. M., Moulia, V., Hamard, S., et al., 2021. Come Rain, Come Shine: Peatland Carbon Dynamics Shift under Extreme Precipitation. Frontiers in Environmental Science, 9: 659953. https://doi.org/10.3389/fenvs.2021.659953

Benoit, J. M., Shull, D. H., Harvey, R. M., et al., 2009. Effect of Bioirrigation on Sediment-Water Exchange of Methylmercury in Boston Harbor, Massachusetts. Environmental Science & Technology, 43(10): 3669-3674. https://doi.org/10.1021/es803552q

Chen, H., Wu, N., Wang, Y. F., et al., 2021. A Historical Overview about Basic Issues and Studies of Mires. Science in China (Series D), 51(1): 15-26 (in Chinese with English abstract).

Chen, Z., Li, Y. Z., Peng, Y. Y., et al., 2022. Feasibility of Sewage Sludge and Food Waste Aerobic Co-Composting: Physicochemical Properties, Microbial Community Structures, and Contradiction between Microbial Metabolic Activity and Safety Risks. The Science of the Total Environment, 825: 154047. https://doi.org/10.1016/j.scitotenv.2022.154047

Corzo, A., Jiménez-Arias, J. L., Torres, E., et al., 2018. Biogeochemical Changes at the Sediment–Water Interface during Redox Transitions in an Acidic Reservoir: Exchange of Protons, Acidity and Electron Donors and Acceptors. Biogeochemistry, 139(3): 241-260. https://doi.org/10.1007/s10533-018-0465-7

Fenner, N., Freeman, C., 2011. Drought-Induced Carbon Loss in Peatlands. Nature Geoscience, 4(12): 895-900. https://doi.org/10.1038/ngeo1323

Freeman, C., Ostle, N., Kang, H., 2001. An Enzymic 'Latch' on a Global Carbon Store. Nature, 409: 149. https://doi.org/10.1038/35051650

Garland, J. L., 1996. Analytical Approaches to the Characterization of Samples of Microbial Communities Using Patterns of Potential C Source Utilization. Soil Biology and Biochemistry, 28(2): 213-221. https://doi.org/10.1016/0038-0717(95)00112-3

Haapalehto, T., Kotiaho, J. S., Matilainen, R., et al., 2014. The Effects of Long-Term Drainage and Subsequent Restoration on Water Table Level and Pore Water Chemistry in Boreal Peatlands. Journal of Hydrology, 519: 1493-1505. https://doi.org/10.1016/j.jhydrol.2014.09.013

Hribljan, J. A., Kane, E. S., Pypker, T. G., et al., 2014. The Effect of Long-Term Water Table Manipulations on Dissolved Organic Carbon Dynamics in a Poor Fen Peatland. Journal of Geophysical Research: Biogeosciences, 119(4): 577-595. https://doi.org/10.1002/2013jg002527

Huang, X. Y., Zhang, Z. Q., Wang, H. M., et al., 2017. Overview on Critical Zone Observatory at Dajiuhu Peatland, Shennongjia. Earth Science, 42(6): 1026-1038 (in Chinese with English abstract).

Järveoja, J., Peichl, M., Maddison, M., et al., 2016. Impact of Water Table Level on Annual Carbon and Greenhouse Gas Balances of a Restored Peat Extraction Area. Biogeosciences, 13(9): 2637-2651. https://doi.org/10.5194/bg-13-2637-2016

Kloss, S., Zehetner, F., Buecker, J., et al., 2015. Trace Element Biogeochemistry in the Soil-Water-Plant System of a Temperate Agricultural Soil Amended with Different Biochars. Environmental Science and Pollution Research, 22(6): 4513-4526. https://doi.org/10.1007/s11356-014-3685-y

Kwon, M. J., Haraguchi, A., Kang, H., 2013. Long-Term Water Regime Differentiates Changes in Decomposition and Microbial Properties in Tropical Peat Soils Exposed to the Short-Term Drought. Soil Biology and Biochemistry, 60: 33-44. https://doi.org/10.1016/j.soilbio.2013.01.023

Liao, H. H., Yu, K., Duan, Y. H., et al., 2019. Profiling Microbial Communities in a Watershed Undergoing Intensive Anthropogenic Activities. The Science of the Total Environment, 647: 1137-1147. https://doi.org/10.1016/j.scitotenv.2018.08.103

Limpens, J., Berendse, F., Blodau, C., et al., 2008. Peatlands and the Carbon Cycle: From Local Processes to Global Implications-A Synthesis. Biogeosciences, 5(5): 1475-1491. https://doi.org/10.5194/bg-5-1475-2008

Liu, H. M., An, K. R., Wang, H., et al., 2020. Effects of Fertilization Regimes on the Metabolic Diversity of Microbial Carbon Sources in a Maize Field of Fluvoaquic Soil in North China. Journal of Agro-Environment Science, 39(10): 2336-2344 (in Chinese with English abstract).

Luo, T., Lun, Z. J., Gu, Y. S., et al., 2015. Plant Community Survey and Ecological Protection of Dajiuhu Wetlands in Shennongjia Area. Wetland Science, 13(2): 153-160 (in Chinese with English abstract).

Palansooriya, K. N., Wong, J. T. F., Hashimoto, Y., et al., 2019. Response of Microbial Communities to Biochar-Amended Soils: a Critical Review. Biochar, 1(1): 3-22. https://doi.org/10.1007/s42773-019-00009-2

Saunois, M., Stavert, A. R., Poulter, B., et al., 2020. The Global Methane Budget 2000–2017. Earth System Science Data, 12(3): 1561-1623. https://doi.org/10.5194/essd-12-1561-2020

Si, G. H., Yuan, J. F., Xu, X. Y., et al., 2018. Effects of an Integrated Rice-Crayfish Farming System on Soil Organic Carbon, Enzyme Activity, and Microbial Diversity in Waterlogged Paddy Soil. Acta Ecologica Sinica, 38(1): 29-35. https://doi.org/10.1016/j.chnaes.2018.01.005

Song, X. C., Wang, H. L., Qin, W. D., et al., 2019. Effects of Stand Type of Artificial Forests on Soil Microbial Functional Diversity. Chinese Journal of Applied Ecology, 30(3): 841-848 (in Chinese with English abstract).

Tian, W., Wang, H. M., Xiang, X., et al., 2019. Structural Variations of Bacterial Community Driven by Sphagnum Microhabitat Differentiation in a Subalpine Peatland. Frontiers in Microbiology, 10: 1661-1671. https://doi.org/10.3389/fmicb.2019.01661

Tian, W., Xiang, X., Wang, H. M., 2021. Differential Impacts of Water Table and Temperature on Bacterial Communities in Pore Water from a Subalpine Peatland, Central China. Frontiers in Microbiology, 12: 649981. https://doi.org/10.3389/fmicb.2021.649981

Treat, C. C., Kleinen, T., Broothaerts, N., et al., 2019. Widespread Global Peatland Establishment and Persistence over the last 130, 000 Y. Proceedings of the National Academy of Sciences of the United States of America, 116(11): 4822-4827. https://doi.org/10.1073/pnas.1813305116

Ulanowski, T. A., Branfireun, B. A., 2013. Small-Scale Variability in Peatland Pore-Water Biogeochemistry, Hudson Bay Lowland, Canada. The Science of the Total Environment, 454-455: 211-218. https://doi.org/10.1016/j.scitotenv.2013.02.087

Urbanová, Z., Bárta, J., 2016. Effects of Long-Term Drainage on Microbial Community Composition Vary between Peatland Types. Soil Biology and Biochemistry, 92: 16-26. https://doi.org/10.1016/j.soilbio.2015.09.017

Wang, D. X., Zhang, Y. M., Wang, R. C., et al., 2018. Characteristics of Dissolved Organic Matter in Pore Water from the Dajiuhu Peatland, Central China. Resources and Environment in the Yangtze Basin, 27(11): 2568-2577 (in Chinese with English abstract).

Wang, R. C., Wang, H. M., Xi, Z. Q., et al., 2022. Hydrology Driven Vertical Distribution of Prokaryotes and Methane Functional Groups in a Subtropical Peatland. Journal of Hydrology, 608: 127592. https://doi.org/10.1016/j.jhydrol.2022.127592

Wang, R. C., Wang, H. M., Xiang, X., et al., 2018. Temporal and Spatial Variations of Microbial Carbon Utilization in Water Bodies from the Dajiuhu Peatland, Central China. Journal of Earth Science, 29(4): 969-976. https://doi.org/10.1007/s12583-017-0818-5

Wang, X., He, S. W., Pan, J. Z., et al., 2021. Effects of Aquatic Plant Restoration on Water Quality and Microbial Functional Diversity of Wanshan Lake. Journal of Ecology and Rural Environment, 37(10): 1352-1360 (in Chinese with English abstract).

Xu, J. R., Morris, P. J., Liu, J. G., et al., 2018. PEATMAP: Refining Estimates of Global Peatland Distribution Based on a Meta-Analysis. CATENA, 160: 134-140. https://doi.org/10.1016/j.catena.2017.09.010

Xue, D., Chen, H., Zhan, W., et al., 2021. How do Water Table Drawdown, Duration of Drainage, and Warming Influence Greenhouse Gas Emissions from Drained Peatlands of the Zoige Plateau? Land Degradation & Development, 32(11): 3351-3364. https://doi.org/10.1002/ldr.4013

Yuan, M. M., Guo, X., Wu, L. W., et al., 2021. Climate Warming Enhances Microbial Network Complexity and Stability. Nature Climate Change, 11: 343–348. https://doi.org/10.1038/s41558-021-00989-9

Yun, Y., Cheng, X. Y., Wang, W. Q., et al., 2018. Seasonal Variation of Bacterial Community and Their Functional Diversity in Drip Water from a Karst Cave. Chinese Science Bulletin, 63(36): 3932-3944 (in Chinese). doi: 10.1360/N972018-00627

Zhang, W. X., Furtado, K., Wu, P. L., et al., 2021. Increasing Precipitation Variability on Daily-to-Multiyear Time Scales in a Warmer World. Science Advances, 7(31): eabf8021. https://doi.org/10.1126/sciadv.abf8021

Zhang, Y. M., Naafs, B. D. A., Huang, X. Y., et al., 2022. Variations in Wetland Hydrology Drive Rapid Changes in the Microbial Community, Carbon Metabolic Activity, and Greenhouse Gas Fluxes. Geochimica et Cosmochimica Acta, 317: 269-285. https://doi.org/10.1016/j.gca.2021.11.014

Zhang, Z. Q., Zhang, Y. M., Huang, X. Y., et al., 2021. Seasonal Variations and Influencing Factors of Dissolved Organic Carbon in Pore Water from the Dajiuhu Peatland in Shennongjia. Bulletin of Geological Science and Technology, 40(2): 147-155 (in Chinese with English abstract).

Zhong, Q. P., Chen, H., Liu, L. F., et al., 2017. Water Table Drawdown Shapes the Depth-Dependent Variations in Prokaryotic Diversity and Structure in Zoige Peatlands. FEMS Microbiology Ecology, 93(6): fix049. https://doi.org/10.1093/femsec/fix049

Zhou, G. X., Qiu, X. W., Chen, L., et al., 2019. Succession of Organics Metabolic Function of Bacterial Community in Response to Addition of Earthworm Casts and Zeolite in Maize Straw Composting. Bioresource Technology, 280: 229-238. https://doi.org/10.1016/j.biortech.2019.02.015

陈槐, 吴宁, 王艳芬, 等, 2021. 泥炭沼泽湿地研究的若干基本问题与研究简史. 中国科学(D辑), 51(1): 15-26.

黄咸雨, 张志麒, 王红梅, 等, 2017. 神农架大九湖泥炭湿地关键带监测进展. 地球科学, 42(6): 1026-1038. doi: 10.3799/dqkx.2017.081

刘红梅, 安克锐, 王慧, 等, 2020. 不同施肥措施对华北潮土区玉米田土壤微生物碳源代谢多样性的影响. 农业环境科学学报, 39(10): 2336-2344.

罗涛, 伦子健, 顾延生, 等, 2015. 神农架大九湖湿地植物群落调查与生态保护研究. 湿地科学, 13(2): 153-160.

宋贤冲, 王会利, 秦文弟, 等, 2019. 退化人工林不同恢复类型对土壤微生物群落功能多样性的影响. 应用生态学报, 30(3): 841-848.

王东香, 张一鸣, 王锐诚, 等, 2018. 神农架大九湖泥炭地孔隙水溶解有机碳特征及其影响因素. 长江流域资源与环境, 27(11): 2568-2577.

汪欣, 何尚卫, 潘继征, 等, 2021. 水生植物恢复对宛山荡水质及水体微生物代谢功能多样性的影响. 生态与农村环境学报, 37(10): 1352-1360.

云媛, 程晓钰, 王纬琦, 等, 2018. 喀斯特洞穴滴水细菌群落组成及其代谢功能的季节性变化. 科学通报, 63(36): 3932-3944.

张志麒, 张一鸣, 黄咸雨, 等, 2021. 神农架大九湖泥炭地溶解有机碳季节性变化及其影响因素. 地质科技通报, 40(2): 147-155.

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Characteristics of Microbial Carbon Utilization in Peat Pore Water in the Dajiuhu Peatland, Shennongjia

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