Recurring heavy rainfall resulting in degraded-upgraded phases in soil microbial networks that are reflected in soil functioning
George P. Stamou, Nikolaos Monokrousos, Anastasia Papapostolou, Effimia M. Papatheodorou
Recurring heavy rainfall resulting in degraded-upgraded phases in soil microbial networks that are reflected in soil functioning
● We assess the recovery of microbial networks underneath crust to repeated rainfall.
● The network fragmentation after the second heavy rain was milder than at the first one.
● Cohesive networks were related to high enzyme activity involved in C, N, and P cycles.
● Loose networks were related to high Ca, K, Mg, NH4 and organic N.
● The network in dry-crusted soils collapsed after the second heavy rain.
Biological soil crusts (BSCs) are an important multi-trophic component of arid ecosystems in the Mediterranean region. In a mesocosm experiment, the authors investigated how the network of interactions among the members of the soil microbial communities in four types of soil sample responded when soils were exposed to two simulated extreme rain events. The four types of soil samples were: covered by Cladonia rangiformis and previously hydrated (+BSC+H), covered by C. rangiformis and dried (+BSC-H), uncovered and hydrated (-BSC+H), uncovered and dried (-BSC-H). Network analysis was based on the co-occurrence patterns of microbes; microbes were assessed by the phospholipid fatty acids analysis. The authors further explored the relations between networks’ metrics and soil functions denoted by enzymatic activity and soil chemical variables. All networks exhibited Small world properties, moderate values of clustering coefficient and eigen centrality, indicating the lack of hub nodes. The networks in -BSC-H soils appeared coherent during the pre-rain phases and they became modular after rains, while those in +BSC-H soils kept their connectivity till the second rain but this then collapsed. The network metrics that were indicative of cohesive networks tended to be related to enzyme activity while those that characterized the loose networks were related to Ca, K, Mg, NH4+ and organic N. In all mesocosms except for +BSC-H, networks’ fragmentation after the second heavy rain was milder than after the first one, supporting the idea of community acclimatization. The response of microbial networks to heavy rains was characterized by the tendency to exhibit degradation-reconstruction phases. The network collapse in the crusted only mesocosms showed that the communities beneath crusts in arid areas were extremely vulnerable to recurring heavy rain events.
PLFAs / Cladonia rangiformis / biocrust / soil microbial community / network metrics
[1] |
Abed, R.M.M., Al Kharusi, S., Schramm, A., Robinson, M.D., 2010. Bacterial diversity, pigments and nitrogen fixation of biological desert crusts from the Sultanate of Oman. FEMS Microbiology Ecology72, 418–428.
CrossRef
Google scholar
|
[2] |
Akpinar, A.U., Ozturk, S., Sinirtas, M., 2009. Effects of some terricolous lichens [Cladonia rangiformis Hoffm., Peltigera neckerii Hepp ex Müll. Arg., Peltigera rufescens (Weiss) Humb.] on soil bacteria in natural conditions. Plant, Soil and Environment55, 154–158.
CrossRef
Google scholar
|
[3] |
Allen, S.E., 1974. Chemical Analysis of Ecological Materials, Blackwell, Oxford, UK
|
[4] |
Allison, S.D., Jastrow, J.D., 2006. Activities of extracellular enzymes in physically isolated fractions of restored grassland soils. Soil Biology & Biochemistry38, 3245–3256.
CrossRef
Google scholar
|
[5] |
Aslam, S.A., Dumbrell, A.J., Sabir, J.S., Mutwakil, M.H.Z., Baeshen, M.M.N., Abo-Aba, S.E.M., Clark, D.R., Yates, S.A., Baeshen, N.A., Underwood, G.J.C., McGenity, T.J., 2016. Soil compartment is a major determinant of the impact of simulated rainfall on desert microbiota. Environmental Microbiology18, 5048–5062.
CrossRef
Google scholar
|
[6] |
Azarbad, H., Cornelis van Gestel, C.A.M., Niklinska, M., Laskowski, R., Röling, W.F.M., van Straalen, N.M., 2016. Resilience of soil microbial communities to metals and additional stressors: DNA-based approaches for assessing “stress on stress” responses. International Journal of Molecular Sciences17, 933.
CrossRef
Google scholar
|
[7] |
Baquerizo, M.D., 2022. Simplifying the complexity of the soil microbiome to guide the development of next-generation SynComs. Journal of Sustainable Agriculture and the Environment 11–7.
CrossRef
Google scholar
|
[8] |
Baquerizo, M.D., Reich, P.B., Trivedi, C., Eldridge, D.J., Abades, S., Alfaro, F.D., Berhe, A., Cutler, N.A., Gallardo, A., Velazquez, L.G., Hart, S.C., Hayes, P.E., He, J.Z., Hseu, Z.Y., Hu, H.W., Kirchmair, M., Neuhauser, S., Perez, C.A., Reed, S.C., Sants, F., Sullivan, B.W., Trivedi, P., Wang, J.T., Grullon, L.W., Williams, M.A., Singh, B.K., 2020. Multiple elements of soil biodiversity drives ecosystem functions across biomes. Nature Ecology & Evolution4, 210–220.
CrossRef
Google scholar
|
[9] |
Belnap, J., Weber, B., Büdel, B., 2016. Biological soil crusts as an organizing principle in drylands, in: Weber, B., Büdel, B., Belnap, J. (Eds.). Biological Soil Crusts: an Organizing Principle in Drylands. Springer International Publishing, Switzerlandpp. 3–13.
|
[10] |
Bérard, A., Bouchet, T., Sévenier, G., Pablo, A., Gros, R., 2011. Resilience of soil microbial communities impacted by severe drought and high temperature in the context of Mediterranean heat waves. European Journal of Soil Biology7, 333–342.
CrossRef
Google scholar
|
[11] |
Borgatti, S.P., Everett, G., Freeman, L.C., 1999. UCINET 6.0 version 1.00, Computer manual, Natick: Analytic Technologies
|
[12] |
Borrett, S.R., Moody, J., Edelmann, A., 2014. The rise of Network Ecology: Maps of the topic diversity and scientific collaboration. Ecological Modelling293, 111–127.
CrossRef
Google scholar
|
[13] |
Bossio, D.A., Scow, K.M., 1998. Impacts of carbon and flooding on soil microbial communities: phospholipid fatty acid profiles and substrate utilization patterns. Microbial Ecology35, 265–278.
CrossRef
Google scholar
|
[14] |
Bouskill, N.J., Wood, T.E., Baran, R., Ye, Z., Bowen, B.P., Lim, H., Zhou, J., Van Nostrand, J.D., Nico, P., Northen, T.R., Silver, W.L., Brodie, E.L., 2016. Belowground response to drought in a tropical forest soil. I. changes in microbial functional potential and metabolism. Frontiers in Microbiology7, 525.
CrossRef
Google scholar
|
[15] |
Caruso, T., Migliorini, M., 2006. Micro-arthropod communities under human disturbance: is taxonomic aggregation a valuable tool for detecting multivariate change? Evidence from Mediterranean soil oribatid conenoses.. Acta Oecologica30, 46–53.
CrossRef
Google scholar
|
[16] |
Chang, K.J.L., Dunstan, G.A., Abell, G.C.J., Clementson, L.A., Blackburn, S.I., Nichols, P.D., Koutoulis, A., 2012. Biodiscovery of new Australian thraustochytrids for production of biodiesel and long-chain omega-3 oils. Applied Microbiology and Biotechnology93, 2215–2231.
CrossRef
Google scholar
|
[17] |
Eldridge, D.J., Woodhouse, J.N., Curlevski, N.J.A., Hayward, M., Brown, M.V., Neilan, B.A., 2015. Soil-foraging animals alter the composition and co-occurrence of microbial communities in a desert shrubland. ISME Journal9, 2671–2681.
CrossRef
Google scholar
|
[18] |
Farkas, E., Biró, B., Szabó, K., Veres, K., Csintalan, Z., Engel, R., 2020. The amount of lichen secondary metabolites in Cladonia foliacea (Cladoniaceae, lichenised Ascomycota). Acta Botanica Hungarica62, 33–48.
CrossRef
Google scholar
|
[19] |
Fierer, N., Schimel, J.P., Holden, P.A., 2003. Influence of drying-rewetting frequency on soil bacterial community structure. Microbial Ecology45, 63–71.
CrossRef
Google scholar
|
[20] |
Fuchslueger, L., Bahn, M., Hasibeder, R., Kienzl, S., Fritz, K., Schmitt, M., Watzka, M., Richter, A., 2016. Drought history affects grassland plant and microbial carbon turnover during and after a subsequent drought event. Journal of Ecology104, 1453–1465.
CrossRef
Google scholar
|
[21] |
Gheza, G., Di Nuzzo, L., Vallese, C., Barcella, M., Benesperi, R., Giordani, P., Nascimbene, J., Assini, S., 2021. Morphological and chemical traits of Cladonia respond to multiple environmental factors in acidic dry grasslands. Microorganisms9, 453.
CrossRef
Google scholar
|
[22] |
Gibbons, S.M., Scholz, M., Hutchison, A.L., Dinner, A.R., Gilbert, J.A., Coleman, M.L., 2016. Disturbance regimes predictably alter diversity in an ecologically complex bacterial system. mBio7, e01372–e01316.
CrossRef
Google scholar
|
[23] |
Gotelli, N.J., Entsminger, G.L., 2001. Swap and fill algorithms in null model analysis: rethinking the knight’s tour. Oecologia129, 281–291.
CrossRef
Google scholar
|
[24] |
Guseva, K., Darcy, S., Simon, E., Alteio, L.V., Montesinos-Navarro, A., Kaiser, C., 2022. From diversity to complexity: Microbial networks in soils. Soil Biology & Biochemistry169, 108604.
CrossRef
Google scholar
|
[25] |
Hong, P., Schmid, B., De Laender, F., Eisenhauer, N., Zhang, X., Chen, H., Craven, D., De Boeck, H.J., Hautier, Y., Petchey, O.L., Reich, P.B., Steudel, B., Striebel, M., Thakur, M.P., Wang, S., 2021. Biodiversity promotes ecosystem functioning despite environmental change. Ecology Letters25, 555–569.
CrossRef
Google scholar
|
[26] |
Hueso, S., Hernandez, T., Garcia, C., 2011. Resistance and resilience of the soil microbial biomass to severe drought in semiarid soils: The importance of organic amendments. Applied Soil Ecology50, 27–36.
CrossRef
Google scholar
|
[27] |
Humphries, M.D., Gurney, K., 2008. Network ‘small-world-ness’: A quantitative method for determining canonical network equivalence. PLoS One3, e0002051.
CrossRef
Google scholar
|
[28] |
Kieft, T.L., Soroker, E., Firestone, M.K., 1987. Microbial biomass response to a rapid increase in water potential when dry soil is wetted. Soil Biology & Biochemistry19, 119–126.
CrossRef
Google scholar
|
[29] |
Kim, M., Or, D., 2017. Hydration status and diurnal trophic interactions shape microbial community function in desert biocrusts. Biogeosciences14, 5403–5424.
CrossRef
Google scholar
|
[30] |
Konstantinou, S., Monokrousos, N., Kapagianni, P., Menkissoglu-Spiroudi, U., Gwynn-Jones, D., Stamou, G.P., Papatheodorou, E.M., 2019. Instantaneous responses of microbial communities to stress in soils pretreated with Mentha spicata essential oil and/or inoculated with arbuscular mycorrhizal fungus. Ecological Research34, 701–710.
CrossRef
Google scholar
|
[31] |
Leizeaga, A., Meisner, A., Rousk, J., Baath, E., 2022. Repeated drying and rewetting cycles accelerate bacterial rowth recovery after rewetting. Biology and Fertility of Soils58, 365–374.
CrossRef
Google scholar
|
[32] |
Lenhart, K., Weber, B., Elbert, W., Steinkamp, J., Clough, T., Crutzen, P., Poschl, U., Keppler, F., 2015. Nitrous oxide and methane emissions from cryptogamic covers. Global Change Biology21, 3889–3900.
CrossRef
Google scholar
|
[33] |
Liu, Y.R., Delgado-Baquerizo, M., Trivedi, P., He, J.Z., Wang, J.T., Singh, B.K., 2017. Identity of biocrust species and microbial communities drive the response of soil multifunctionality to simulated global change. Soil Biology & Biochemistry107, 208–217.
CrossRef
Google scholar
|
[34] |
Maestre, F.T., Escolar, C., Bardgett, R.D., Dungait, J.A.J., Gozalo, B., Ochoa, V., 2015. Warming reduces the cover and diversity of biocrust-forming mosses and lichens and increases the physiological stress of soil microbial communities in a semi-arid Pinus halepensis plantation. Frontiers in Microbiology6, 865.
CrossRef
Google scholar
|
[35] |
Maignien, L., DeForce, E.A., Chafee, M.E., Eren, A.M., Simmons, S.L., 2014. Ecological succession and stochastic variation in the assembly of Arabidopsis thaliana phyllosphere communities. mBio5, e00682.
CrossRef
Google scholar
|
[36] |
Meunier, D., Bullmore, E.T., Lambiotte, R., 2010. Modular and Hierarchically modular organization of brain networks. Frontiers in Neuroscience4, 200.
CrossRef
Google scholar
|
[37] |
Monokrousos, N., Papatheodorou, E.M., Orfanoudakis, M., Jones, D.G., Scullion, J., Stamou, G.P., 2020. The effects of plant type, AMF inoculation and water regime on rhizosphere microbial communities. European Journal of Soil Science71, 265–278.
CrossRef
Google scholar
|
[38] |
Norris, T.B., Wraith, J.M., Castenholz, R.W., McDermott, T.R., 2002. Soil microbial community structure across a thermal gradient following a geothermal heating event. Applied and Environmental Microbiology68, 6300–6309.
CrossRef
Google scholar
|
[39] |
Ntalli, N., Zioga, D., Argyropoulou, M., Papatheodorou, E.M., Menkissoglu-Spiroudi, U., Monokrousos, N., 2019. Anise, parsley and rocket as nematicidal soil amendments and their impact on non-target soil organisms. Applied Soil Ecology143, 17–25.
CrossRef
Google scholar
|
[40] |
O’Malley, A.J., Marsden, P.V., 2008. The analysis of social networks. Health Services and Outcomes Research Methodology8, 222–269.
CrossRef
Google scholar
|
[41] |
Olsen, S.R., Cole, C.V., Watanabe, F.S., Dean, L.A., 1954. Estimation of available phosphorus in soils by extraction with sodium bicarbonate. United States Department of Agriculture, Washington DC, p. 19. Circular No. 939
|
[42] |
Papatheodorou, E.M., Monokrousos, N., Angelina, E., Stamou, G.P., 2021. Robustness of rhizosphere microbial communities of L.sativa originated from soils of different legacy after inoculation with plant growth promoting rhizobacteria. Applied Soil Ecology167, 104028.
CrossRef
Google scholar
|
[43] |
Papatheodorou, E.M., Papapostolou, A., Monokrousos, N., Jones, D.W., Scullion, J., Stamou, G.P., 2020. Crust cover and prior soil moisture status affect the response of soil microbial community and function to extreme rain events in an arid area. European Journal of Soil Biology101, 103243.
CrossRef
Google scholar
|
[44] |
Philippot, L., Cregut, M., Cheneby, D., Bressan, M., Dequiet, S., Martin-Laurent, F., Ranjard, L., Lemanceau, P., 2008. Effect of primary mild stresses on resilience and resistance of the nitrate reducer community to a subsequent severe stress. FEMS Microbiology Letters285, 51–57.
CrossRef
Google scholar
|
[45] |
Pointing, S.B., Belnap, J., 2012. Microbial colonization and controls in dryland systems. Nature Reviews. Microbiology10, 551–562.
CrossRef
Google scholar
|
[46] |
Porada, P., Weber, B., Elbert, W., Pöschl, U., Kleidon, A., 2014. Estimating impacts of lichens and bryophytes on global biogeochemical cycles. Global Biogeochemical Cycles28, 71–85.
CrossRef
Google scholar
|
[47] |
Proulx, S.R., Promislow, D.E.L., Phillips, P.C., 2005. Network thinking in ecology and evolution. Trends in Ecology & Evolution20, 345–353.
CrossRef
Google scholar
|
[48] |
Rampelotto, P.H., Barboza, A.D.M., Pereira, A.B., Triplett, E.W., Schaefer, C.E.G.R., Camargo, F.A.O., Roesch, L.F.W., 2014. Distribution and interaction patterns of bacterial communities in an ornithogenic soil of Seymour Island, Antarctica. Microbial Ecology69, 684–694.
CrossRef
Google scholar
|
[49] |
Rillig, M.C., Rolff, J., Tietjen, B., Wehner, J., Andrade-Linares, D.R., 2015. Community priming-effects of sequential stressors on microbial assemblages. FEMS Microbiology Ecology9, fiv040.
CrossRef
Google scholar
|
[50] |
Sakamoto, K., Iijima, T., Higuchi, R., 2004. Use of specific phospholipid fatty acids for identifying and quantifying the external hyphae of the arbuscular mycorrhizal fungus Gigaspora rosea. Soil Biology & Biochemistry36, 1827–1834.
CrossRef
Google scholar
|
[51] |
Sardans, J., Peñuelas, J., 2013. Plant-soil interactions in Mediterranean forest and shrublands: impacts of climatic change. Plant Soil365, 1–33.
CrossRef
Google scholar
|
[52] |
Sawada, K., Funakawa, S., Kosaki, T., 2019. Immediate and subsequent effects of drying and rewetting on microbial biomass in a paddy soil. Soil Science and Plant Nutrition65, 28–35.
CrossRef
Google scholar
|
[53] |
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., Vandermeer, J., 2012. Anticipating critical transitions. Science338, 344–348.
CrossRef
Google scholar
|
[54] |
Schütz, K., Nagel, P., Vetter, W., Kandeler, E., Ruess, L., 2009. Flooding forested groundwater recharge areas modifies microbial communities from topsoil to groundwater table. FEMS Microbiology Ecology67, 171–182.
CrossRef
Google scholar
|
[55] |
Sinha, S., 2005. Complexity vs. stability in small-world networks. Physica A346, 147–153.
CrossRef
Google scholar
|
[56] |
Sinsabaugh, R.L., Reynolds, H., Long, T.M., 2000. Rapid assay for amidohydrolase (urease) activity in environmental samples. Soil Biology & Biochemistry32, 2095–2097.
CrossRef
Google scholar
|
[57] |
Solomon, S., Manning, M., Marquis, M., Qin, D., 2007. Climate Change 2007-the Physical Science Basis: Working Group I Contribution to the Fourth Assessment Report of the IPCC, Cambridge University Press
|
[58] |
Stamou, G.P., Argyropoulou, M.D., Rodriguez-Polo, I., Boutsis, G., Kapagianni, P., Papatheodorou, E.M., 2020. A case study of nematode communities’ dynamics along successional paths in the reclaimed landfill. Diversity (Basel)12, 274.
CrossRef
Google scholar
|
[59] |
Stamou, G.P., Monokrousos, N., Gwynn-Jones, D., Whitworth, D.E., Papatheodorou, E.M., 2019. A polyphasic approach for assessing eco-system connectivity demonstrates that perturbation remodels network architecture in soil microcosms. Microbial Ecology78, 949–960.
CrossRef
Google scholar
|
[60] |
Stamou, G.P., Papatheodorou, E.M., 2016. Studying the complexity of the secondary succession process in the soil of restored open mine lignite areas; the role of chemical template. Applied Soil Ecology103, 56–60.
CrossRef
Google scholar
|
[61] |
Štovicek, A., Azatyan, A., Soares, M.I.M., Gillor, O., 2017. The impact of hydration and temperature on bacterial diversity in arid soil mesocosms. Frontiers in Microbiology8, 1078.
CrossRef
Google scholar
|
[62] |
Sun, D., Bi, Q., Li, K., Zhu, J., Zhang, Q., Jin, C., Lu, L., Lin, X., 2018. Effect of soil drying intensity during an experimental drying-rewetting event on nutrient transformation and microbial community composition. Pedosphere4, 644–655.
CrossRef
Google scholar
|
[63] |
Tecon, R., Or, D., 2017. Biophysical processes supporting the diversity of microbial life in soil. FEMS Microbiology Reviews41, 599–623.
CrossRef
Google scholar
|
[64] |
Tilman, D., Isbell, F., Cowles, J.M., 2014. Biodiversity and ecosystem functioning. Annual Review of Ecology, Evolution, and Systematics45, 471–493.
CrossRef
Google scholar
|
[65] |
Tobor-Kaplon, M.A., 2006. Soil life under stress. Dissertation, Utrecht University
|
[66] |
Unger, I.M., Kennedy, A.C., Muzika, R.M., 2009. Flooding effects on soil microbial communities. Applied Soil Ecology42, 1–8.
CrossRef
Google scholar
|
[67] |
Vellend, M., Srivastava, D.S., Anderson, K.M., Brown, C.D., Jankowski, J.E., Kleynhans, E.J., Kraft, N.J., Letaw, A.D., Macdonald, A.A.M., Maclean, J.E., Myers-Smith, I.H., 2014. Assessing the relative importance of neutral stochasticity in ecological communities. Oikos123, 1420–1430.
CrossRef
Google scholar
|
[68] |
Veum, K.S., Lorenz, T., Kremer, R.J., 2019. Phospholipid fatty acid profiles of soils under variable handling and storage conditions. Agronomy Journal111, 1090–1096.
CrossRef
Google scholar
|
[69] |
Williams, M.A., 2007. Response of microbial communities to water stress in irrigated and drought-prone tallgrass prairie soils. Soil Biology & Biochemistry39, 2750–2757.
CrossRef
Google scholar
|
[70] |
Zelles, L., 1999. Fatty acid patterns of phospholipids and lipopolysaccharides in the characterisation of microbial communities in soil: a review. Biology and Fertility of Soils29, 111–129.
CrossRef
Google scholar
|
[71] |
Zhou, J., Deng, Y., Zhang, P., Xue, K., Liang, Y., van Nostrand, J.D., Yang, Y., He, Z., Wu, L., Stahl, D.A., Hazen, T.C., Tiedje, J.M., Arkin, A.P., 2014. Stochasticity, succession, and environmental perturbations in a fluidic ecosystem. Proceedings of the National Academy of Sciences of the United States of America111, E836–E845.
CrossRef
Google scholar
|
[72] |
Zhou, J., Ning, D. 2017. Stochastic community assembly: does it matter in microbial ecology?. Microbiology and Molecular Biology Reviews81, e00002–17.
CrossRef
Google scholar
|
/
〈 | 〉 |