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Journal articles on the topic 'Microbial food web'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ducklow, H. W. "Modeling the microbial food web." Microbial Ecology 28, no. 2 (1994): 303–19. http://dx.doi.org/10.1007/bf00166822.

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2

Sommaruga, Ruben, and Roland Psenner. "Trophic interactions within the microbial food web in Piburger See (Austria)." Archiv für Hydrobiologie 132, no. 3 (1995): 257–78. http://dx.doi.org/10.1127/archiv-hydrobiol/132/1995/257.

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3

PedrÃ³s-AliÃ³, Carlos, Juan I. CalderÃ³n-Paz, Marlie H. MacLean, et al. "The microbial food web along salinity gradients." FEMS Microbiology Ecology 32, no. 2 (2000): 143–55. http://dx.doi.org/10.1111/j.1574-6941.2000.tb00708.x.

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4

Pedrós-Alió, C. "The microbial food web along salinity gradients." FEMS Microbiology Ecology 32, no. 2 (2000): 143–55. http://dx.doi.org/10.1016/s0168-6496(00)00025-8.

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5

Domingues, Carolina Davila, Lucia Helena Sampaio da Silva, Luciana Machado Rangel, et al. "Microbial Food-Web Drivers in Tropical Reservoirs." Microbial Ecology 73, no. 3 (2016): 505–20. http://dx.doi.org/10.1007/s00248-016-0899-1.

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6

Nixdorf, B., H. Arndt, and E. Schierhorn. "Short-term response in the microbial food web to organic matter loading." Acta Ichthyologica et Piscatoria 21, S (1991): 163–70. http://dx.doi.org/10.3750/aip1991.21.s.17.

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7

Vaqué, D., S. Agusti, CM Duarte, S. Enriquez, and O. Geertz-Hansen. "Microbial heterotrophs within Codium bursa: a naturally isolated microbial food web." Marine Ecology Progress Series 109 (1994): 275–82. http://dx.doi.org/10.3354/meps109275.

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8

Blackburn, Nicholas, Farooq Azam, and Åke Hagström. "Spatially explicit simulations of a microbial food web." Limnology and Oceanography 42, no. 4 (1997): 613–22. http://dx.doi.org/10.4319/lo.1997.42.4.0613.

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9

Williams, Timothy J., and Ricardo Cavicchioli. "Marine metaproteomics: deciphering the microbial metabolic food web." Trends in Microbiology 22, no. 5 (2014): 248–60. http://dx.doi.org/10.1016/j.tim.2014.03.004.

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10

Price, Jennifer E., and Peter J. Morin. "Community convergence in a simple microbial food web." Ecological Research 24, no. 3 (2008): 587–95. http://dx.doi.org/10.1007/s11284-008-0529-6.

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11

Weissbach, Astrid, Maria Rudström, Martin Olofsson, et al. "Phytoplankton allelochemical interactions change microbial food web dynamics." Limnology and Oceanography 56, no. 3 (2011): 899–909. http://dx.doi.org/10.4319/lo.2011.56.3.0899.

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12

Thingstad, T. Frede. "How trophic cascades and photic zone nutrient content interact to generate basin-scale differences in the microbial food web." ICES Journal of Marine Science 77, no. 5 (2020): 1639–47. http://dx.doi.org/10.1093/icesjms/fsaa028.

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Abstract In linear food chains, resource and predator control produce positive and negative correlations, respectively, between biomass at adjacent trophic levels. These simple relationships become more complex in food webs that contain alternative food chains of unequal lengths. We have used a “minimum” model for the microbial part of the pelagic food web that has three such food chains connecting free mineral nutrients to copepods: via diatoms, autotrophic flagellates, and heterotrophic bacteria. Trophic cascades from copepods strongly modulates the balance between the three pathways and, th

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13

Havens, Karl E., and Therese L. East. "Plankton Food Web Responses to Experimental Nutrient Additions in a Subtropical Lake." Scientific World JOURNAL 6 (2006): 827–33. http://dx.doi.org/10.1100/tsw.2006.176.

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During two controlled enclosure experiments using water from a subtropical lake, the plankton food web displayed a highly variable response to combined addition of nitrogen and phosphorus. In July, the nutrients stimulated growth ofCylindrospermopsis raciborskii, and the biomass of macrozooplankton and microbial food web components did not increase. In October, the same addition of nutrients stimulated growth of small edibleLyngbyaspp., and there were coincident increases in biomass of macrozooplankton and components of the microbial web. Past generalizations that cyanobacteria blooms inhibit

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14

KATO, Shingo, and Takanori MASUDA. "Development of Food Web Model Including Microbial loop and Impact on Food web dynamics by Bacteria." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 70, no. 7 (2014): III_389—III_401. http://dx.doi.org/10.2208/jscejer.70.iii_389.

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15

Boissonneault-Cellineri, KR. "Microbial food web interactions in two Long Island embayments." Aquatic Microbial Ecology 26 (2001): 139–55. http://dx.doi.org/10.3354/ame026139.

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16

Seymour, J. R., R. Simo, T. Ahmed, and R. Stocker. "Chemoattraction to Dimethylsulfoniopropionate Throughout the Marine Microbial Food Web." Science 329, no. 5989 (2010): 342–45. http://dx.doi.org/10.1126/science.1188418.

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17

Becks, Lutz, Frank M. Hilker, Horst Malchow, Klaus Jürgens, and Hartmut Arndt. "Experimental demonstration of chaos in a microbial food web." Nature 435, no. 7046 (2005): 1226–29. http://dx.doi.org/10.1038/nature03627.

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18

Marra, John, L. W. Haas, and Kristina R. Heinemann. "Time course of C assimilation and microbial food web." Journal of Experimental Marine Biology and Ecology 115, no. 3 (1988): 263–80. http://dx.doi.org/10.1016/0022-0981(88)90159-1.

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19

Michaels, Anthony F., and Mary W. Silver. "Primary production, sinking fluxes and the microbial food web." Deep Sea Research Part A. Oceanographic Research Papers 35, no. 4 (1988): 473–90. http://dx.doi.org/10.1016/0198-0149(88)90126-4.

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20

Mieczan, Tomasz, Monika Tarkowska-Kukuryk, Diana Ȃrva, Làszló Berzni-Nagy, Zoltan Novak, and Csilla Vajda. "The effect of epiphytic macroinvertebrates on microbial communities in different types of macrophyte-dominated shallow lakes." Knowledge & Management of Aquatic Ecosystems, no. 419 (2018): 13. http://dx.doi.org/10.1051/kmae/2017060.

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Complex interactions between epiphytic fauna and microbial food webs in periphyton are vital to the ecosystem ecology of shallow lakes. However, little is known about how different types of macrophyte dominated lakes may influence microbial and metazoan communities. The goal of the present study was to examine the impact of metazoan on microbial food web in three different types of lakes (Stratiotes-dominated,Ceratophyllum-dominated andPotamogeton-dominated). The results of this study suggest a strong correlations between chironomid larvae, small Metazoa and microbial communities in the periph

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21

Ferreira, Verónica, Eric Chauvet, and Cristina Canhoto. "Effects of experimental warming, litter species, and presence of macroinvertebrates on litter decomposition and associated decomposers in a temperate mountain stream." Canadian Journal of Fisheries and Aquatic Sciences 72, no. 2 (2015): 206–16. http://dx.doi.org/10.1139/cjfas-2014-0119.

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Small woodland streams make the majority of water courses in most watersheds. Litter decomposition is a key ecosystem process in these shaded streams, and its response to warming can have profound consequences for food webs and the carbon (C) cycle. However, these responses can be modulated by litter identity and the structure of the detrital food web. Here we report on a manipulative study aiming at evaluating the effects of warming (+2.8 °C), litter identity (chestnut (Castanea sativa) or oak (Quercus robur) litter), and the structure of the detrital food web (presence or absence of macroinv

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22

Petters, Sebastian, Verena Groß, Andrea Söllinger, et al. "The soil microbial food web revisited: Predatory myxobacteria as keystone taxa?" ISME Journal 15, no. 9 (2021): 2665–75. http://dx.doi.org/10.1038/s41396-021-00958-2.

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AbstractTrophic interactions are crucial for carbon cycling in food webs. Traditionally, eukaryotic micropredators are considered the major micropredators of bacteria in soils, although bacteria like myxobacteria and Bdellovibrio are also known bacterivores. Until recently, it was impossible to assess the abundance of prokaryotes and eukaryotes in soil food webs simultaneously. Using metatranscriptomic three-domain community profiling we identified pro- and eukaryotic micropredators in 11 European mineral and organic soils from different climes. Myxobacteria comprised 1.5–9.7% of all obtained

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23

GIANNAKOUROU, A., A. TSIOLA, M. KANELLOPOULOU, I. MAGIOPOULOS, I. SIOKOU, and P. PITTA. "Temporal variability of the microbial food web (viruses to ciliates) under the influence of the Black Sea Water inflow (N. Aegean, E. Mediterranean)." Mediterranean Marine Science 15, no. 4 (2014): 769. http://dx.doi.org/10.12681/mms.1041.

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Τhe entire pelagic microbial food web was studied during the winter-spring period in the frontal area of the North Aegean Sea. Abundance of viruses, heterotrophic bacteria, cyanobacteria, auto- and hetero-trophic flagellates, and ciliates, as well as bacterial production, were measured at three stations (MD1, MD2, MD3) situated along a N-S transect between the area directly influenced by the inflowing Black Sea water and the area covered by the Levantine water. Samples were collected in December 2009, and January, March, April, and May 2011. Station MD1 exhibited the highest values of abundanc

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24

Esperschütz, J., A. Pérez-de-Mora, K. Schreiner, et al. "Microbial food web dynamics along a soil chronosequence of a glacier forefield." Biogeosciences Discussions 8, no. 1 (2011): 1275–308. http://dx.doi.org/10.5194/bgd-8-1275-2011.

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Abstract. Microbial food webs are critical for efficient nutrient turnover providing the basis for functional and stable ecosystems. However, the successional development of such microbial food webs and their role in "young" ecosystems is unclear. Due to a continuous glacier retreat since the middle of the 19th century, glacier forefields have expanded offering an excellent opportunity to study food web development at differently developed soils. In the present study, litter degradation and the corresponding C fluxes into microbial communities were investigated along the forefield of the Damma

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25

Esperschütz, J., A. Pérez-de-Mora, K. Schreiner, et al. "Microbial food web dynamics along a soil chronosequence of a glacier forefield." Biogeosciences 8, no. 11 (2011): 3283–94. http://dx.doi.org/10.5194/bg-8-3283-2011.

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Abstract. Microbial food webs are critical for efficient nutrient turnover providing the basis for functional and stable ecosystems. However, the successional development of such microbial food webs and their role in "young" ecosystems is unclear. Due to a continuous glacier retreat since the middle of the 19th century, glacier forefields have expanded offering an excellent opportunity to study food web dynamics in soils at different developmental stages. In the present study, litter degradation and the corresponding C fluxes into microbial communities were investigated along the forefield of

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26

Décima, M., and MR Landry. "Resilience of plankton trophic structure to an eddy-stimulated diatom bloom in the North Pacific Subtropical Gyre." Marine Ecology Progress Series 643 (June 11, 2020): 33–48. http://dx.doi.org/10.3354/meps13333.

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We investigated the response of an open-ocean plankton food web to a major ecosystem perturbation event, the Hawaiian lee cyclonic eddy Opal, using compound-specific isotopic analyses of amino acids (CSIA-AA) of individual zooplankton taxa. We hypothesized that the massive diatom bloom that characterized Opal would lead to a shorter food chain. Using CSIA-AA, we differentiated trophic position (TP) changes that arose from altered transfers through protistan microzooplankton, versus metazoan carnivory, and assessed the variability at the base of the food web. Contrary to expectation, zooplankto

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27

DUPUY, C., O. Philippine, H. Masclaux, et al. "Can planktonic food web topology be retraced by biomass measurements without internal and input flows (production and grazing rate) in freshwater marshes?" Life and Environment 74, no. 1/2 (2024): 67–73. http://dx.doi.org/10.57890/js41rg77.

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An accurate way to estimate the planktonic food web topology is to consider biomass and flows. However, measurements of flows, as production and grazing rate, are time-consuming. In this paper, we retrace food web topology based on three different degrees of information: input flows (production), internal flows (grazing rate) and plankton biomass in freshwater marshes. For that, a meta-analysis of datasets from 4 freshwater marshes of the Charente-Maritime (French Atlantic coast) were used, corresponding to 47 stations/dates and thus to different geographical and temporal situations. The main

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28

Pulido-Villena, E., A. C. Baudoux, I. Obernosterer, et al. "Microbial food web dynamics in response to a Saharan dust event: results from a mesocosm study in the oligotrophic Mediterranean Sea." Biogeosciences 11, no. 19 (2014): 5607–19. http://dx.doi.org/10.5194/bg-11-5607-2014.

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Abstract. The significant impact of dust deposition on heterotrophic bacterial dynamics in the surface oligotrophic ocean has recently been evidenced. Considering the central role of bacteria in the microbial loop, it is likely that dust deposition also affects the structure and the functioning of the whole microbial food web. In the frame of the DUNE project, aiming to estimate the impact of dust deposition on the oligotrophic Mediterranean Sea through mesocosm experiments, the main goal of the present paper was to assess how two successive dust deposition events affect the dynamics of the mi

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29

Pulido-Villena, E., A. C. Baudoux, I. Obernosterer, et al. "Microbial food web dynamics in response to a Saharan dust event: results from a mesocosm study in the oligotrophic Mediterranean Sea." Biogeosciences Discussions 11, no. 1 (2014): 337–71. http://dx.doi.org/10.5194/bgd-11-337-2014.

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Abstract. The significant impact of dust deposition on heterotrophic bacterial dynamics in the surface oligotrophic ocean has recently been evidenced. Considering the central role of bacteria in the microbial loop, it is likely that dust deposition also affects the structure and the functioning of the whole microbial food web. In the frame of the DUNE project, aiming to estimate the impact of dust deposition on the oligotrophic Mediterranean Sea through mesocosm experiments, the main goal of the present paper was to assess how two successive dust deposition events affect the dynamics of the mi

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30

Selph, KE, E. Goetze, MJ Jungbluth, PH Lenz, and G. Kolker. "Microbial food web connections and rates in a subtropical embayment." Marine Ecology Progress Series 590 (March 12, 2018): 19–34. http://dx.doi.org/10.3354/meps12432.

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31

Sanders, R. W., and C. C. Gilmour. "Accumulation of selenium in a model freshwater microbial food web." Applied and Environmental Microbiology 60, no. 8 (1994): 2677–83. http://dx.doi.org/10.1128/aem.60.8.2677-2683.1994.

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32

Carrick, Hunter J., Aneal Padmanabha, Laurie Weaver, Gary L. Fahnenstiel, and Charles R. Goldman. "Importance of the microbial food web in large lakes (USA)." SIL Proceedings, 1922-2010 27, no. 5 (2000): 3170–75. http://dx.doi.org/10.1080/03680770.1998.11898263.

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33

Riemann, B., HM Sørensen, PK Bjørnsen, et al. "Carbon budgets of the microbial food web in estuarine enclosures." Marine Ecology Progress Series 65 (1990): 159–70. http://dx.doi.org/10.3354/meps065159.

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34

Sari, T., and M. J. Wade. "Generalised approach to modelling a three-tiered microbial food-web." Mathematical Biosciences 291 (September 2017): 21–37. http://dx.doi.org/10.1016/j.mbs.2017.07.005.

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35

Feng, Youzhi, Xiangui Lin, Jianguo Zhu, and Zhongjun Jia. "A phototrophy-driven microbial food web in a rice soil." Journal of Soils and Sediments 11, no. 2 (2010): 301–11. http://dx.doi.org/10.1007/s11368-010-0303-6.

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36

Turk, Valentina, Davor Lučić, Vesna Flander-Putrle, and Alenka Malej. "Feeding ofAureliasp. (Scyphozoa) and links to the microbial food web." Marine Ecology 29, no. 4 (2008): 495–505. http://dx.doi.org/10.1111/j.1439-0485.2008.00250.x.

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37

Stoecker, Diane K., Mary Putt, and Tiffany Moisan. "Nano- and Microplankton Dynamics during the Spring Phaeocystis Sp. Bloom in McMurdo Sound, Antarctica." Journal of the Marine Biological Association of the United Kingdom 75, no. 4 (1995): 815–32. http://dx.doi.org/10.1017/s0025315400038170.

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The seasonal development of the microbial food web in eastern McMurdo Sound, Antarctica, was investigated during and immediately after the 1990–1991 bloom of Phaeocystis sp. (Prymnesiophyceae: Prymnesiales). From 23 November to 7 December, which was before the appearance of macroscopic colonies of Phaeocystis, both phytoplankton and Protozoa were low in abundance. During the Phaeocystis bloom (~10 December to 7 January), phytoplankton biomass was high and was dominated by colonial and singlecelled Phaeocystis, but other phytoplankton taxa, including diatoms and photosynthetic dinoflagellates,

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38

Vézina, Alain F., and Michael L. Pace. "An Inverse Model Analysis of Planktonic Food Webs in Experimental Lakes." Canadian Journal of Fisheries and Aquatic Sciences 51, no. 9 (1994): 2034–44. http://dx.doi.org/10.1139/f94-206.

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We used inverse methods to reconstruct carbon flows in experimental lakes where the fish community had been purposely altered. These analyses were applied to three years of data from a reference lake and two experimental lakes located in Gogebic County, Michigan. We reconstructed seasonally averaged flows among two size groups of phytoplankton, heterotrophic bacteria, microzooplankton, cladocerans, and copepods. The inverse analysis produced significantly different flow networks for the different lakes that agreed qualitatively with known chemical and biological differences between lakes and w

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39

Li, Wei, Mircea Podar, and Rachael M. Morgan-Kiss. "Ultrastructural and Single-Cell-Level Characterization Reveals Metabolic Versatility in a Microbial Eukaryote Community from an Ice-Covered Antarctic Lake." Applied and Environmental Microbiology 82, no. 12 (2016): 3659–70. http://dx.doi.org/10.1128/aem.00478-16.

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ABSTRACTThe McMurdo Dry Valleys (MCM) of southern Victoria Land, Antarctica, harbor numerous ice-covered bodies of water that provide year-round liquid water oases for isolated food webs dominated by the microbial loop. Single-cell microbial eukaryotes (protists) occupy major trophic positions within this truncated food web, ranging from primary producers (e.g., chlorophytes, haptophytes, and cryptophytes) to tertiary predators (e.g., ciliates, dinoflagellates, and choanoflagellates). To advance the understanding of MCM protist ecology and the roles of MCM protists in nutrient and energy cycli

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40

Jansson, Mats, Ann-Kristin Bergström, Peter Blomqvist, Anneli Isaksson, and Anders Jonsson. "Impact of allochthonous organic carbon on microbial food web carbon dynamics and structure in Lake Örträsket." Fundamental and Applied Limnology 144, no. 4 (1999): 409–28. http://dx.doi.org/10.1127/archiv-hydrobiol/144/1999/409.

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41

Adams, Braymond, John Bowley, Monica Rohwer, et al. "Heavy metal movement through insect food chains in pristine thermal springs of Yellowstone National Park." PeerJ 12 (February 21, 2024): e16827. http://dx.doi.org/10.7717/peerj.16827.

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Yellowstone National Park thermal features regularly discharge various heavy metals and metalloids. These metals are taken up by microorganisms that often form mats in thermal springs. These microbial mats also serve as food sources for invertebrate assemblages. To examine how heavy metals move through insect food webs associated with hot springs, two sites were selected for this study. Dragon-Beowulf Hot Springs, acid-sulfate chloride springs, have a pH of 2.9, water temperatures above 70 °C, and populations of thermophilic bacterial, archaeal, and algal mats. Rabbit Creek Hot Springs, alkali

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42

Brussaard, CPD, GJ Gast, FC van Duyl, and R. Riegman. "Impact of phytoplankton bloom magnitude on a pelagic microbial food web." Marine Ecology Progress Series 144 (1996): 211–21. http://dx.doi.org/10.3354/meps144211.

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43

Livanou, E., A. Oikonomou, S. Psarra, and K. Lika. "Role of mixotrophic nanoflagellates in the Eastern Mediterranean microbial food web." Marine Ecology Progress Series 672 (August 19, 2021): 15–32. http://dx.doi.org/10.3354/meps13782.

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In the oligotrophic, phosphorus (P)-limited Eastern Mediterranean Sea (EMS), grazing on heterotrophic bacteria (HB) by pigmented nanoflagellates (PNF) through mixotrophy is a significant source of bacterial mortality and is P-dependent. Heterotrophic nanoflagellates (HNF) are also important consumers of HB. However, there is still no conceptual framework describing the flows of carbon (C) and P through the EMS microbial food web that takes into account the mixotrophic behavior of PNF. In the present modelling study, we explore qualitatively the pathways of C- and P-flow through the HB-mixotrop

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44

Wade, M. J., R. W. Pattinson, N. G. Parker, and J. Dolfing. "Emergent behaviour in a chlorophenol-mineralising three-tiered microbial ‘food web’." Journal of Theoretical Biology 389 (January 2016): 171–86. http://dx.doi.org/10.1016/j.jtbi.2015.10.032.

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45

Baretta-Bekker, J. G., J. W. Baretta, and E. Koch Rasmussen. "The microbial food web in the European Regional Seas Ecosystem Model." Netherlands Journal of Sea Research 33, no. 3-4 (1995): 363–79. http://dx.doi.org/10.1016/0077-7579(95)90053-5.

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46

Andersson, Agneta, Kristina Samuelsson, Pia Haecky, and Jan Albertsson. "Changes in the pelagic microbial food web due to artificial eutrophication." Aquatic Ecology 40, no. 3 (2006): 299–313. http://dx.doi.org/10.1007/s10452-006-9041-7.

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47

DeLorenzo, M. E., J. Lauth, P. L. Pennington, G. I. Scott, and P. E. Ross. "Atrazine effects on the microbial food web in tidal creek mesocosms." Aquatic Toxicology 46, no. 3-4 (1999): 241–51. http://dx.doi.org/10.1016/s0166-445x(98)00132-5.

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48

Lavrentyev, P. J., M. J. McCarthy, D. M. Klarer, F. Jochem, and W. S. Gardner. "Estuarine Microbial Food Web Patterns in a Lake Erie Coastal Wetland." Microbial Ecology 48, no. 4 (2004): 567–77. http://dx.doi.org/10.1007/s00248-004-0250-0.

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49

Seymour, J. R., Marcos,, and R. Stocker. "Resource Patch Formation and Exploitation throughout the Marine Microbial Food Web." American Naturalist 173, no. 1 (2009): E15—E29. http://dx.doi.org/10.1086/593004.

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50

Murase, Jun, and Peter Frenzel. "A methane-driven microbial food web in a wetland rice soil." Environmental Microbiology 9, no. 12 (2007): 3025–34. http://dx.doi.org/10.1111/j.1462-2920.2007.01414.x.

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