Articles | Volume 16, issue 4
https://doi.org/10.5194/tc-16-1265-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-1265-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Temporal variation of bacterial community and nutrients in Tibetan glacier snowpack
Yuying Chen
State Key Laboratory of Tibetan Plateau Earth System, Resources and
Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy
of Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
Keshao Liu
State Key Laboratory of Tibetan Plateau Earth System, Resources and
Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy
of Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
Yongqin Liu
State Key Laboratory of Tibetan Plateau Earth System, Resources and
Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy
of Sciences, Beijing 100101, China
Center for the Pan-third Pole Environment, Lanzhou University, Lanzhou
730000, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
Trista J. Vick-Majors
Great Lakes Research Center, Department of Biological Sciences, Michigan Technological University, Houghton, Michigan 49931, United States
Feng Wang
State Key Laboratory of Tibetan Plateau Earth System, Resources and
Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy
of Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
Center for the Pan-third Pole Environment, Lanzhou University, Lanzhou
730000, China
Related authors
No articles found.
Yongqin Liu, Songnian Hu, Tao Yu, Yingfeng Luo, Zhihao Zhang, Yuying Chen, Shunchao Guo, Qinglan Sun, Guomei Fan, Linhuan Wu, Juncai Ma, Keshao Liu, Pengfei Liu, Junzhi Liu, and Mukan Ji
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-395, https://doi.org/10.5194/essd-2023-395, 2023
Revised manuscript has not been submitted
Short summary
Short summary
Based on marker gene, metagenome, and cultivated genome sequencing, the dataset contains 67,224 bacterial and archaeal species, 2,517 potential pathogens, 62,595,715 unique genes, and 4,327 microbial genomes of bacteria and archaea from Antarctic, Arctic, and Tibetan glaciers. The data can be useful to ecologists, microbiologists, and policymakers regarding microbial distribution, evolution, and biohazard assessment for glacier microbiome under global climate change.
Junzhi Liu, Pengcheng Fang, Yefeng Que, Liang-Jun Zhu, Zheng Duan, Guoan Tang, Pengfei Liu, Mukan Ji, and Yongqin Liu
Earth Syst. Sci. Data, 14, 3791–3805, https://doi.org/10.5194/essd-14-3791-2022, https://doi.org/10.5194/essd-14-3791-2022, 2022
Short summary
Short summary
The management and conservation of lakes should be conducted in the context of catchments because lakes collect water and materials from their upstream catchments. This study constructed the first dataset of lake-catchment characteristics for 1525 lakes with an area from 0.2 to 4503 km2 on the Tibetan Plateau (TP), which provides exciting opportunities for lake studies in a spatially explicit context and promotes the development of landscape limnology on the TP.
Yongqin Liu, Pengcheng Fang, Bixi Guo, Mukan Ji, Pengfei Liu, Guannan Mao, Baiqing Xu, Shichang Kang, and Junzhi Liu
Earth Syst. Sci. Data, 14, 2303–2314, https://doi.org/10.5194/essd-14-2303-2022, https://doi.org/10.5194/essd-14-2303-2022, 2022
Short summary
Short summary
Glaciers are an important pool of microorganisms, organic carbon, and nitrogen. This study constructed the first dataset of microbial abundance and total nitrogen in Tibetan Plateau (TP) glaciers and the first dataset of dissolved organic carbon in ice cores on the TP. These new data could provide valuable information for research on the glacier carbon and nitrogen cycle and help in assessing the potential impacts of glacier retreat due to global warming on downstream ecosystems.
Mukan Ji, Weidong Kong, Chao Liang, Tianqi Zhou, Hongzeng Jia, and Xiaobin Dong
The Cryosphere, 14, 3907–3916, https://doi.org/10.5194/tc-14-3907-2020, https://doi.org/10.5194/tc-14-3907-2020, 2020
Short summary
Short summary
Old permafrost soil usually has more carbohydrates, while younger soil contains more aliphatic carbons, which substantially impacts soil bacterial communities. However, little is known about how permafrost age and thawing drive microbial communities. We found that permafrost thawing significantly increased bacterial richness in young permafrost and changed soil bacterial compositions at all ages. This suggests that thawing results in distinct bacterial species and alters soil carbon degradation.
Zhiyuan Cong, Shaopeng Gao, Wancang Zhao, Xin Wang, Guangming Wu, Yulan Zhang, Shichang Kang, Yongqin Liu, and Junfeng Ji
The Cryosphere, 12, 3177–3186, https://doi.org/10.5194/tc-12-3177-2018, https://doi.org/10.5194/tc-12-3177-2018, 2018
Short summary
Short summary
Cryoconites from glaciers on the Tibetan Plateau and surrounding area were studied for iron oxides. We found that goethite is the predominant iron oxide form. Using the abundance, speciation and optical properties of iron oxides, the total light absorption was quantitatively attributed to goethite, hematite, black carbon and organic matter. Such findings are essential to understand the relative significance of anthropogenic and natural impacts.
Related subject area
Discipline: Snow | Subject: Snow Chemistry
200-year ice core bromine reconstruction at Dome C (Antarctica): observational and modelling results
Impacts of post-depositional processing on nitrate isotopes in the snow and the overlying atmosphere at Summit, Greenland
Impacts of the photo-driven post-depositional processing on snow nitrate and its isotopes at Summit, Greenland: a model-based study
Brief communication: Spatial and temporal variations in surface snow chemistry along a traverse from coastal East Antarctica to the ice sheet summit (Dome A)
Brief communication: An alternative method for estimating the scavenging efficiency of black carbon by meltwater over sea ice
Quantifying the light absorption and source attribution of insoluble light-absorbing particles on Tibetan Plateau glaciers between 2013 and 2015
Mercury in the Arctic tundra snowpack: temporal and spatial concentration patterns and trace gas exchanges
Variability of sea salts in ice and firn cores from Fimbul Ice Shelf, Dronning Maud Land, Antarctica
François Burgay, Rafael Pedro Fernández, Delia Segato, Clara Turetta, Christopher S. Blaszczak-Boxe, Rachael H. Rhodes, Claudio Scarchilli, Virginia Ciardini, Carlo Barbante, Alfonso Saiz-Lopez, and Andrea Spolaor
The Cryosphere, 17, 391–405, https://doi.org/10.5194/tc-17-391-2023, https://doi.org/10.5194/tc-17-391-2023, 2023
Short summary
Short summary
The paper presents the first ice-core record of bromine (Br) in the Antarctic plateau. By the observation of the ice core and the application of atmospheric chemical models, we investigate the behaviour of bromine after its deposition into the snowpack, with interest in the effect of UV radiation change connected to the formation of the ozone hole, the role of volcanic deposition, and the possible use of Br to reconstruct past sea ice changes from ice core collect in the inner Antarctic plateau.
Zhuang Jiang, Joel Savarino, Becky Alexander, Joseph Erbland, Jean-Luc Jaffrezo, and Lei Geng
The Cryosphere, 16, 2709–2724, https://doi.org/10.5194/tc-16-2709-2022, https://doi.org/10.5194/tc-16-2709-2022, 2022
Short summary
Short summary
A record of year-round atmospheric nitrate isotopic composition along with snow nitrate isotopic data from Summit, Greenland, revealed apparent enrichments in nitrogen isotopes in snow nitrate compared to atmospheric nitrate, in addition to a relatively smaller degree of changes in oxygen isotopes. The results suggest that at this site post-depositional processing takes effect, which should be taken into account when interpreting ice-core nitrate isotope records.
Zhuang Jiang, Becky Alexander, Joel Savarino, Joseph Erbland, and Lei Geng
The Cryosphere, 15, 4207–4220, https://doi.org/10.5194/tc-15-4207-2021, https://doi.org/10.5194/tc-15-4207-2021, 2021
Short summary
Short summary
We used a snow photochemistry model (TRANSITS) to simulate the seasonal nitrate snow profile at Summit, Greenland. Comparisons between model outputs and observations suggest that at Summit post-depositional processing is active and probably dominates the snowpack δ15N seasonality. We also used the model to assess the degree of snow nitrate loss and the consequences in its isotopes at present and in the past, which helps for quantitative interpretations of ice-core nitrate records.
Guitao Shi, Hongmei Ma, Zhengyi Hu, Zhenlou Chen, Chunlei An, Su Jiang, Yuansheng Li, Tianming Ma, Jinhai Yu, Danhe Wang, Siyu Lu, Bo Sun, and Meredith G. Hastings
The Cryosphere, 15, 1087–1095, https://doi.org/10.5194/tc-15-1087-2021, https://doi.org/10.5194/tc-15-1087-2021, 2021
Short summary
Short summary
It is important to understand atmospheric chemistry over Antarctica under a changing climate. Thus snow collected on a traverse from the coast to Dome A was used to investigate variations in snow chemistry. The non-sea-salt fractions of K+, Mg2+, and Ca2+ are associated with terrestrial inputs, and nssCl− is from HCl. In general, proportions of non-sea-salt fractions of ions to the totals are higher in the interior areas than on the coast, and the proportions are higher in summer than in winter.
Tingfeng Dou, Zhiheng Du, Shutong Li, Yulan Zhang, Qi Zhang, Mingju Hao, Chuanjin Li, Biao Tian, Minghu Ding, and Cunde Xiao
The Cryosphere, 13, 3309–3316, https://doi.org/10.5194/tc-13-3309-2019, https://doi.org/10.5194/tc-13-3309-2019, 2019
Short summary
Short summary
The meltwater scavenging coefficient (MSC) determines the BC enrichment in the surface layer of melting snow and therefore modulates the BC-snow-albedo feedbacks. This study presents a new method for MSC estimation over the sea-ice area in Arctic. Using this new method, we analyze the spatial variability of MSC in the western Arctic and demonstrate that the value in Canada Basin (23.6 % ± 2.1 %) ≈ that in Greenland (23.0 % ± 12.5 %) > that in Chukchi Sea (17.9 % ± 5.0 %) > that in Elson Lagoon (14.5 % ± 2.6 %).
Xin Wang, Hailun Wei, Jun Liu, Baiqing Xu, Mo Wang, Mingxia Ji, and Hongchun Jin
The Cryosphere, 13, 309–324, https://doi.org/10.5194/tc-13-309-2019, https://doi.org/10.5194/tc-13-309-2019, 2019
Short summary
Short summary
A large survey on measuring optical and chemical properties of insoluble light-absorbing impurities (ILAPs) from seven glaciers was conducted on the Tibetan Plateau (TP) during 2013–2015. The results indicated that the mixing ratios of black carbon (BC), organic carbon (OC), and iron (Fe) all showed a tendency to decrease from north to south, and the industrial pollution (33.1 %), biomass and biofuel burning (29.4 %), and soil dust (37.5 %) were the major sources of the ILAPs on the TP.
Yannick Agnan, Thomas A. Douglas, Detlev Helmig, Jacques Hueber, and Daniel Obrist
The Cryosphere, 12, 1939–1956, https://doi.org/10.5194/tc-12-1939-2018, https://doi.org/10.5194/tc-12-1939-2018, 2018
Short summary
Short summary
In this study, we investigated mercury dynamics in an interior arctic tundra at Toolik Field Station (200 km from the Arctic Ocean) during two full snow seasons. We continuously measured atmospheric, snow gas phase, and soil pores mercury concentrations. We observed consistent concentration declines from the atmosphere to snowpack to soils, indicating that soils are continuous sinks of mercury. We suggest that interior arctic snowpacks may be negligible sources of mercury.
Carmen Paulina Vega, Elisabeth Isaksson, Elisabeth Schlosser, Dmitry Divine, Tõnu Martma, Robert Mulvaney, Anja Eichler, and Margit Schwikowski-Gigar
The Cryosphere, 12, 1681–1697, https://doi.org/10.5194/tc-12-1681-2018, https://doi.org/10.5194/tc-12-1681-2018, 2018
Short summary
Short summary
Ions were measured in firn and ice cores from Fimbul Ice Shelf, Antarctica, to evaluate sea-salt loads. A significant sixfold increase in sea salts was found in the S100 core after 1950s which suggests that it contains a more local sea-salt signal, dominated by processes during sea-ice formation in the neighbouring waters. In contrast, firn cores from three ice rises register the larger-scale signal of atmospheric flow conditions and transport of sea-salt aerosols produced over open water.
Cited articles
Amato, P., Hennebelle, R., Magand, O., Sancelme, M., Delort, A.-M.,
Barbante, C., Boutron, C., and Ferrari, C.: Bacterial characterization of
the snow cover at Spitzberg, Svalbard, FEMS Microbiol. Ecol., 59,
255–264, 2007.
Amoroso, A., Domine, F., Esposito, G., Morin, S., Savarino, J., Nardino, M.,
Montagnoli, M., Bonneville, J. M., Clement, J. C., Ianniello, A., and Beine,
H. J.: Microorganisms in dry polar snow are involved in the exchanges of
reactive nitrogen species with the atmosphere, Environ. Sci. Technol., 44,
714–719, https://doi.org/10.1021/es9027309, 2010.
Anesio, A. M. and Laybourn-Parry, J.: Glaciers and ice sheets as a biome,
Trends Ecol. Evol., 27, 219–225,
https://doi.org/10.1016/j.tree.2011.09.012, 2012.
Antony, R., Sanyal, A., Kapse, N., Dhakephalkar, P. K., Thamban, M., and
Nair, S.: Microbial communities associated with Antarctic snow pack and
their biogeochemical implications, Microbiol. Res., 192, 192–202,
https://doi.org/10.1016/j.micres.2016.07.004, 2016.
Beine, H. J., Dominè, F., Ianniello, A., Nardino, M., Allegrini, I., Teinilä, K., and Hillamo, R.: Fluxes of nitrates between snow surfaces and the atmosphere in the European high Arctic, Atmos. Chem. Phys., 3, 335–346, https://doi.org/10.5194/acp-3-335-2003, 2003.
Bergk Pinto, B., Maccario, L., Dommergue, A., Vogel, T. M., and Larose, C.:
Do organic substrates drive microbial community interactions in Arctic
snow?, Front. Microbiol., 10, 2492–2492, https://doi.org/10.3389/fmicb.2019.02492,
2019.
Bernhard, A.: The nitrogen cycle: processes, players, and human impack,
Nature Education Knowledge, 2, 1–9, 2010.
Bhatia, M. P., Das, S. B., Xu, L., Charette, M. A., Wadham, J. L., and
Kujawinski, E. B.: Organic carbon export from the Greenland ice sheet,
Geochim. Cosmochim. Ac., 109, 329–344,
https://doi.org/10.1016/j.gca.2013.02.006, 2013.
Björkman, M. P., Vega, C. P., Kühnel, R., Spataro, F., Ianniello,
A., Esposito, G., Kaiser, J., Marca, A., Hodson, A., Isaksson, E., and
Roberts, T. J.: Nitrate postdeposition processes in Svalbard surface snow,
J. Geophys. Res.-Atmos., 119, 12953–12976,
https://doi.org/10.1002/2013jd021234, 2014.
Borchert, E., Hammerschmidt, K., Hentschel, U., and Deines, P.: Enhancing
Microbial Pollutant Degradation by Integrating Eco-Evolutionary Principles
with Environmental Biotechnology, Trends Microbiol., 29, 908–918,
https://doi.org/10.1016/j.tim.2021.03.002, 2021.
Brooks, P. D., Williams, M. W., and Schmidt, S. K.: Inorganic nitrogen and
microbial biomass dynamics before and during spring snowmelt,
Biogeochemistry, 43, 1–15, https://doi.org/10.1023/A:1005947511910, 1998.
Calcagno, V., Jarne, P., Loreau, M., Mouquet, N., and David, P.: Diversity
spurs diversification in ecological communities, Nat. Commun., 8,
15810, https://doi.org/10.1038/ncomms15810, 2017.
Callahan, B. J., McMurdie, P. J., and Holmes, S. P.: Exact sequence variants
should replace operational taxonomic units in marker-gene data analysis, The
ISME Journal, 11, 581–583, https://doi.org/10.1038/nmeth.3869, 2017.
Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J.
A., and Holmes, S. P.: DADA2: high-resolution sample inference from Illumina
amplicon data, Nature Methods, 13, 2639–2643, https://doi.org/10.1038/ismej.2017.119, 2016.
Cameron, K. A., Stibal, M., Chrismas, N., Box, J., and Jacobsen, C. S.:
Nitrate addition has minimal short-term impacts on Greenland ice sheet
supraglacial prokaryotes, Environ. Microbiol. Rep., 9, 144–150,
https://doi.org/10.1111/1758-2229.12510, 2017.
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J.,
Fierer, N., Owens, S. M., Betley, J., Fraser, L., and Bauer, M.:
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and
MiSeq platforms, The ISME journal, 6, 1621–1624, https://doi.org/10.1038/ismej.2012.8, 2012.
Carey, C. J., Hart, S. C., Aciego, S. M., Riebe, C. S., Blakowski, M. A.,
and Aronson, E. L.: Microbial community structure of subalpine snow in the
Sierra Nevada, California, Arct. Antarct. Alp. Res., 48,
685–701, https://doi.org/10.1657/AAAR0015-062, 2016.
Carpenter, E. J., Lin, S., and Capone, D. G.: Bacterial activity in South
Pole snow, Appl. Environ. Microbiol., 66, 4514–4517, 2000.
Chrismas, N. A. M., Anesio, A. M., and Sanchez-Baracaldo, P.: The future of
genomics in polar and alpine cyanobacteria, FEMS Microbiol. Ecol., 94, 4,
https://doi.org/10.1093/femsec/fiy032, 2018.
Dang, H. and Lovell, C. R.: Microbial surface colonization and biofilm
development in marine environments, Microbiol. Mol. Biol.
R., 80, 91, https://doi.org/10.1128/MMBR.00037-15, 2016.
Deng, Y., Jiang, Y.-H., Yang, Y., He, Z., Luo, F., and Zhou, J.: Molecular
ecological network analyses, BMC bioinformatics, 13, 113, https://doi.org/10.1186/1471-2105-13-113, 2012.
Dibb, J. E., Talbot, R. W., Munger, J. W., Jacob, D. J., and Fan, S.-M.:
Air-snow exchange of HNO3 and NOyat Summit, Greenland, J. Geophys. Res.-Atmos., 103, 3475–3486, https://doi.org/10.1029/97jd03132, 1998.
Du, S., Ya, T., Zhang, M., Zhu, M., Li, N., Liu, S., and Wang, X.: Distinct
microbial communities and their networks in an anammox coupled with sulfur
autotrophic/mixotrophic denitrification system, Environ. Pollut.,
262, 114190, https://doi.org/10.1016/j.envpol.2020.114190, 2020.
Filippa, G., Freppaz, M., Williams, M. W., and Zanini, E.: Major element
chemistry in inner alpine snowpacks (Aosta Valley Region, NW Italy), Cold
Reg. Sci. Technol., 64, 158–166,
https://doi.org/10.1016/j.coldregions.2010.07.005, 2010.
Friedman, J. and Gore, J.: Ecological systems biology: The dynamics of
interacting populations, Current Opinion in Systems Biology, 1, 114–121,
https://doi.org/10.1016/j.coisb.2016.12.001, 2017.
Hacquard, S., Garrido-Oter, R., González, A., Spaepen, S., Ackermann,
G., Lebeis, S., McHardy, A. C., Dangl, J. L., Knight, R., and Ley, R.:
Microbiota and host nutrition across plant and animal kingdoms, Cell Host
Microbe, 17, 603–616, 2015.
Hell, K., Edwards, A., Zarsky, J., Podmirseg, S. M., Girdwood, S., Pachebat,
J. A., Insam, H., and Sattler, B.: The dynamic bacterial communities of a
melting High Arctic glacier snowpack, The ISME journal, 7, 1814–1826, https://doi.org/10.1038/ismej.2013.51, 2013.
Henry, S., Baudoin, E., Lopez-Gutierrez, J. C., Martin-Laurent, F., Brauman,
A., and Philippot, L.: Quantification of denitrifying bacteria in soils by
nirK gene targeted real-time PCR, J. Microbiol. Methods, 61, 289–290,
https://doi.org/10.1016/j.mimet.2004.12.008, 2005.
Hodson, A., Anesio, A. M., Tranter, M., Fountain, A., Osborn, M., Priscu,
J., Laybourn-Parry, J., and Sattler, B.: Glacial ecosystems, Ecol.
Monogr., 78, 41–67, 2008.
Holland, A. T., Bergk Pinto, B., Layton, R., Williamson, C. J., Anesio, A.
M., Vogel, T. M., Larose, C., and Tranter, M.: Over Winter Microbial
Processes in a Svalbard Snow Pack: An Experimental Approach, Front.
Microbiol., 11, 1029, https://doi.org/10.3389/fmicb.2020.01029, 2020.
Hood, E., Battin, T. J., Fellman, J., O'Neel, S., and Spencer, R. G. M.:
Storage and release of organic carbon from glaciers and ice sheets, Nat. Geosci., 8, 91–96, https://doi.org/10.1038/ngeo2331, 2015.
Hunt, D. E. and Ward, C. S.: A network-based approach to disturbance
transmission through microbial interactions, Front. Microbiol., 6, 1182,
https://doi.org/10.3389/fmicb.2015.01182, 2015.
Huth, J. and Liebs, P.: Nitrogen regulation in microorganisms, Zentralbl
Mikrobiol, 143, 179–194, https://doi.org/10.1016/s0232-4393(88)80038-6, 1988.
Immerzeel, W. W., Beek, L. P. H. V., and Bierkens, M. F. P.: Climate Change
Will Affect the Asian Water Towers, Science, 328, 1382–1385,
https://doi.org/10.1126/science.1183188, 2010.
Ji, M., Kong, W., Yue, L., Wang, J., Deng, Y., and Zhu, L.: Salinity reduces
bacterial diversity, but increases network complexity in Tibetan Plateau
lakes, FEMS Microbiol. Ecol., 95, 12, https://doi.org/10.1093/femsec/fiz190, 2019.
Ju, F., Xia, Y., Guo, F., Wang, Z., and Zhang, T.: Taxonomic relatedness
shapes bacterial assembly in activated sludge of globally distributed
wastewater treatment plants, Environ. Microbiol., 16, 2421–2432,
2014.
Khan, N., Maezato, Y., McClure, R. S., Brislawn, C. J., Mobberley, J. M.,
Isern, N., Chrisler, W. B., Markillie, L. M., Barney, B. M., Song, H.-S.,
Nelson, W. C., and Bernstein, H. C.: Phenotypic responses to interspecies
competition and commensalism in a naturally-derived microbial co-culture,
Sci. Rep.-UK, 8, 297, https://doi.org/10.1038/s41598-017-18630-1, 2018.
Kim, M., Jung, J. Y., Laffly, D., Kwon, H. Y., and Lee, Y. K.: Shifts in
bacterial community structure during succession in a glacier foreland of the
High Arctic, FEMS Microbiol. Ecol., 93, 1, https://doi.org/10.1093/femsec/fiw213, 2016.
Krug, L., Erlacher, A., Markut, K., Berg, G., and Cernava, T.: The
microbiome of alpine snow algae shows a specific inter-kingdom connectivity
and algae-bacteria interactions with supportive capacities, The ISME
Journal, 14, 2197–2210, https://doi.org/10.1038/s41396-020-0677-4, 2020.
Kuypers, M. M. M., Marchant, H. K., and Kartal, B.: The microbial
nitrogen-cycling network, Nat. Rev. Microbiol., 16, 263–276,
https://doi.org/10.1038/nrmicro.2018.9, 2018.
Larose, C., Berger, S., Ferrari, C., Navarro, E., Dommergue, A., Schneider,
D., and Vogel, T. M.: Microbial sequences retrieved from environmental
samples from seasonal Arctic snow and meltwater from Svalbard, Norway,
Extremophiles, 14, 205–212, 2010.
Larose, C., Dommergue, A., and Vogel, T. M.: Microbial nitrogen cycling in
Arctic snowpacks, Environ. Res. Lett., 8, 035004,
https://doi.org/10.1088/1748-9326/8/3/035004, 2013a.
Larose, C., Prestat, E., Cecillon, S., Berger, S., Malandain, C., Lyon, D.,
Ferrari, C., Schneider, D., Dommergue, A., and Vogel, T. M.: Interactions
between Snow Chemistry, Mercury Inputs and Microbial Population Dynamics in
an Arctic Snowpack, PLOS ONE, 8, e79972, https://doi.org/10.1371/journal.pone.0079972,
2013b.
Lazzaro, A., Wismer, A., Schneebeli, M., Erny, I., and Zeyer, J.: Microbial
abundance and community structure in a melting alpine snowpack,
Extremophiles, 19, 631–642, 2015.
Levy-Booth, D. J., Prescott, C. E., and Grayston, S. J.: Microbial
functional genes involved in nitrogen fixation, nitrification and
denitrification in forest ecosystems, Soil Biol. Biochem., 75,
11–25, https://doi.org/10.1016/j.soilbio.2014.03.021, 2014.
Liu, K., Liu, Y., Hu, A., Wang, F., Zhang, Z., Yan, Q., Ji, M., and
Vick-Majors, T. J.: Fate of glacier surface snow-originating bacteria in the
glacier-fed hydrologic continuums, Environ. Microbiol., 23, 6450–6462,
https://doi.org/10.1111/1462-2920.15788, 2021.
Liu, Y., Yao, T., Kang, S., Jiao, N., Zeng, Y., Shi, Y., Luo, T., Jing, Z.,
and Huang, S.: Seasonal variation of snow microbial community structure in
the East Rongbuk glacier, Mt. Everest, Chinese Sci. Bull., 51,
1476–1486, https://doi.org/10.1007/s11434-006-1476-7, 2006.
Lopatina, A., Krylenkov, V., and Severinov, K.: Activity and bacterial
diversity of snow around Russian Antarctic stations, Res.
Microbiol., 164, 949–958, 2013.
Lü, C. and Tian, H.: Spatial and temporal patterns of nitrogen
deposition in China: Synthesis of observational data, J. Geophys. Res.-Atmos., 112, 10931–10954, https://doi.org/10.1029/2006JD007990, 2007.
Lutz, S., Anesio, A. M., Edwards, A., and Benning, L. G.: Linking microbial
diversity and functionality of arctic glacial surface habitats, Environ.
Microbiol., 19, 551–565, https://doi.org/10.1111/1462-2920.13494, 2017.
Maccario, L., Vogel, T. M., and Larose, C.: Potential drivers of microbial
community structure and function in Arctic spring snow, Front.
Microbiol., 5, 413, https://doi.org/10.3389/fmicb.2014.00413, 2014.
Maccario, L., Carpenter, S. D., Deming, J. W., Vogel, T. M., and Larose, C.:
Sources and selection of snow-specific microbial communities in a
Greenlandic sea ice snow cover, Sci. Rep.-UK, 9, 2290,
https://doi.org/10.1038/s41598-019-38744-y, 2019.
Madsen, E. L.: Microorganisms and their roles in fundamental biogeochemical
cycles, Curr. Opin. Biotech., 22, 456–464,
https://doi.org/10.1016/j.copbio.2011.01.008, 2011.
Makhalanyane, T. P., Valverde, A., Velazquez, D., Gunnigle, E., Van Goethem,
M. W., Quesada, A., and Cowan, D. A.: Ecology and biogeochemistry of
cyanobacteria in soils, permafrost, aquatic and cryptic polar habitats,
Biodivers. Conserv., 24, 819–840, https://doi.org/10.1007/s10531-015-0902-z, 2015.
Marshall, W. A. and Chalmers, M. O.: Airborne dispersal of antarctic
terrestrial algae and cyanobacteria, Ecography, 20, 585–594, https://doi.org/10.1111/j.1600-0587.1997.tb00427.x, 1997
McDonald, D., Clemente, J. C., Kuczynski, J., Rideout, J. R., Stombaugh, J.,
Wendel, D., Wilke, A., Huse, S., Hufnagle, J., and Meyer, F.: The Biological
Observation Matrix (BIOM) format or: how I learned to stop worrying and love
the ome-ome, GigaScience, 1, 7, https://doi.org/10.1186/2047-217X-1-7, 2012.
Miteva, V.: Bacteria in snow and glacier ice, in: Psychrophiles: From
biodiversity to biotechnology, edited by: Margesin, R., Schinner, F., Marx, J. C., and Gerday, C., Springer, 31–50, 2008.
Møller, A. K., Søborg, D. A., Abu Al-Soud, W., Sørensen, S. J., and
Kroer, N.: Bacterial community structure in High-Arctic snow and freshwater
as revealed by pyrosequencing of 16S rRNA genes and cultivation, Polar
Res., 32, 17390, https://doi.org/10.3402/polar.v32i0.17390, 2013.
Nicholes, M. J., Williamson, C. J., Tranter, M., Holland, A., Poniecka, E.,
Yallop, M. L., Black, Bloom, G., and Anesio, A.: Bacterial Dynamics in
Supraglacial Habitats of the Greenland Ice Sheet, Front. Microbiol.,
10, 1366–1366, https://doi.org/10.3389/fmicb.2019.01366, 2019.
Ning, D., Deng, Y., Tiedje, J. M., and Zhou, J.: A general framework for
quantitatively assessing ecological stochasticity, P.
Natl. Acad. Sci. USA, 116, 16892–16898, https://doi.org/10.1073/pnas.1904623116,
2019.
Ntengwe, F. W.: An overview of industrial wastewater treatment and analysis as means of preventing pollution of surface and underground water bodies – the case of Nkana Mine in Zambia, Phys. Chem. Earth, 30, 726–734,
https://doi.org/10.1016/j.pce.2005.08.014, 2005.
Oksanen, J., Blanchet, F. G., Kindt, R., Legendre, P., O'hara, R., Simpson,
G. L., Solymos, P., Stevens, M. H. H., and Wagner, H.: vegan: Community
Ecology Package. R package version 1.17-2, https://cran.r-project.org/web/packages/vegan/index.html (last access: 16 May 2021), 23, 2010.
Quesada, A. and Vincent, W. F.: Cyanobacteria in the Cryosphere: Snow, Ice
and Extreme Cold, in: Ecology of Cyanobacteria II: Their Diversity in Space
and Time, edited by: Whitton, B. A., Springer Netherlands, Dordrecht,
387–399, https://doi.org/10.1007/978-94-007-3855-3_14, 2012.
Qiu, J.: Tibetan glaciers shrinking rapidly, Nature News, 15, 1–2, 2012.
R Core Team: R: A Language and Environment for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0,
https://www.R-project.org/ (last access: 28 May 2021), 2017.
Rice, E. W., Baird, R. B., Eaton, A. D., and Clesceri, L. S.: Standard methods for the examination of water and wastewate, 22nd edn., American Public Health Association, American Water Works, Water Environment Federation, Washington D.C., ISBN 978-087553-013-0, 2012.
Richardson, D. J. and Watmough, N. J.: Inorganic nitrogen metabolism in
bacteria, Curr. Opin. Chem. Biol., 3, 207–219,
https://doi.org/10.1016/S1367-5931(99)80034-9, 1999.
Scheffer, M., Carpenter, S. R., Lenton, T. M., Bascompte, J., Brock, W.,
Dakos, V., van de Koppel, J., van de Leemput, I. A., Levin, S. A., van Nes,
E. H., Pascual, M., and Vandermeer, J.: Anticipating Critical Transitions,
Science, 338, 344–348, https://doi.org/10.1126/science.1225244, 2012.
Segawa, T., Miyamoto, K., Ushida, K., Agata, K., Okada, N., and Kohshima,
S.: Seasonal change in bacterial flora and biomass in mountain snow from the
Tateyama Mountains, Japan, analyzed by 16S rRNA gene sequencing and
real-time PCR, Appl. Environ. Microbiol., 71, 123–130, 2005.
Singer, G. A., Fasching, C., Wilhelm, L., Niggemann, J., Steier, P.,
Dittmar, T., and Battin, T. J.: Biogeochemically diverse organic matter in
Alpine glaciers and its downstream fate, Nat. Geosci., 5, 710–714,
https://doi.org/10.1038/ngeo1581, 2012.
Stegen, J. C., Lin, X., Konopka, A. E., and Fredrickson, J. K.: Stochastic
and deterministic assembly processes in subsurface microbial communities,
The ISME journal, 6, 1653–1664, 2012.
Sun, Y., Shen, Y.-x., Liang, P., Zhou, J., Yang, Y., and Huang, X.: Linkages
between microbial functional potential and wastewater constituents in
large-scale membrane bioreactors for municipal wastewater treatment, Water
Res., 56, 162–171, https://doi.org/10.1016/j.watres.2014.03.003, 2014.
Telling, J., Anesio, A. M., Tranter, M., Irvine-Fynn, T., Hodson, A.,
Butler, C., and Wadham, J.: Nitrogen fixation on Arctic glaciers, Svalbard,
J. Geophys. Res.-Biogeo., 116, G03039,
https://doi.org/10.1029/2010jg001632, 2011.
Telling, J., Stibal, M., Anesio, A. M., Tranter, M., Nias, I., Cook, J., Bellas, C., Lis, G., Wadham, J. L., Sole, A., Nienow, P., and Hodson, A.: Microbial nitrogen cycling on the Greenland Ice Sheet, Biogeosciences, 9, 2431–2442, https://doi.org/10.5194/bg-9-2431-2012, 2012.
Vitousek, P. M., Hättenschwiler, S., Olander, L., and Allison, S.:
Nitrogen and nature, AMBIO, 31, 97–102,
2002.
Wadham, J. L., Hawkings, J., Telling, J., Chandler, D., Alcock, J., O'Donnell, E., Kaur, P., Bagshaw, E., Tranter, M., Tedstone, A., and Nienow, P.: Sources, cycling and export of nitrogen on the Greenland Ice Sheet, Biogeosciences, 13, 6339–6352, https://doi.org/10.5194/bg-13-6339-2016, 2016.
Wagenmakers, E.-J. and Farrell, S.: AIC model selection using Akaike
weights, Psychon. B. Rev., 11, 192–196, https://doi.org/10.3758/BF03206482,
2004.
Wang, S., Wang, X., Han, X., and Deng, Y.: Higher precipitation strengthens
the microbial interactions in semi-arid grassland soils, Global Ecol.
Biogeogr., 27, 570–580, https://doi.org/10.1111/geb.12718, 2018.
Wemheuer, F., Taylor, J. A., Daniel, R., Johnston, E., Meinicke, P., Thomas,
T., and Wemheuer, B.: Tax4Fun2: prediction of habitat-specific functional
profiles and functional redundancy based on 16S rRNA gene sequences,
Environ. Microbiome, 15, 1–12, 2020.
Wu, H., Adams, J. M., Shi, Y., Li, Y., Song, X., Zhao, X., Chu, H., and
Zhang, G.-L.: Depth-Dependent Patterns of Bacterial Communities and Assembly
Processes in a Typical Red Soil Critical Zone, Geomicrobiol. J., 37,
201–212, https://doi.org/10.1080/01490451.2019.1688432, 2020.
Xia, S., Li, J., and Wang, R.: Nitrogen removal performance and microbial
community structure dynamics response to carbon nitrogen ratio in a compact
suspended carrier biofilm reactor, Ecol. Eng., 32, 256–262,
2008.
Xiang, S., Shang, T, Chen, Y., and Yao, T.: Deposition and postdeposition
mechanisms as possible drivers of microbial population variability in
glacier ice, FEMS Microbiol. Ecol., 70, 165–176,
https://doi.org/10.1111/j.1574-6941.2009.00759.x, 2009.
Yuan, H., Huang, S., Yuan, J., You, Y., and Zhang, Y.: Characteristics of
microbial denitrification under different aeration intensities: Performance,
mechanism, and co-occurrence network, Sci. Total Environ., 754,
141965, https://doi.org/10.1016/j.scitotenv.2020.141965, 2021.
Zhang, J., Shu, X., Zhang, Y., Tan, X., and Zhang, Q.: The responses of
epilithic algal community structure and function to light and nutrients and
their linkages in subtropical rivers, Hydrobiologia, 847, 841–855,
10.1007/s10750-019-04146-4, 2020.
Ziegler, M., Eguíluz, V. M., Duarte, C. M., and Voolstra, C. R.: Rare
symbionts may contribute to the resilience of coral–algal assemblages, The
ISME Journal, 12, 161–172, https://doi.org/10.1038/ismej.2017.151, 2018.
Short summary
We investigated the bacterial communities in surface and subsurface snow samples in a Tibetan Plateau glacier using 16S rRNA gene sequences. Our results revealed rapid temporal changes in nitrogen (including nitrate and ammonium) and bacterial communities in both surface and subsurface snow. These findings advance our understanding of bacterial community variations and bacterial interactions after snow deposition and provide a possible biological explanation for nitrogen dynamics in snow.
We investigated the bacterial communities in surface and subsurface snow samples in a Tibetan...