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Journal articles on the topic 'Microbial behavior'

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Author: Grafiati

Published: 7 July 2024

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1

Sismaet, Hunter J., and Edgar D. Goluch. "Electrochemical Probes of Microbial Community Behavior." Annual Review of Analytical Chemistry 11, no. 1 (June 12, 2018): 441–61. http://dx.doi.org/10.1146/annurev-anchem-061417-125627.

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Advances in next-generation sequencing technology along with decreasing costs now allow the microbial population, or microbiome, of a location to be determined relatively quickly. This research reveals that microbial communities are more diverse and complex than ever imagined. New and specialized instrumentation is required to investigate, with high spatial and temporal resolution, the dynamic biochemical environment that is created by microbes, which allows them to exist in every corner of the Earth. This review describes how electrochemical probes and techniques are being used and optimized to learn about microbial communities. Described approaches include voltammetry, electrochemical impedance spectroscopy, scanning electrochemical microscopy, separation techniques coupled with electrochemical detection, and arrays of complementary metal-oxide-semiconductor circuits. Microbial communities also interact with and influence their surroundings; therefore, the review also includes a discussion of how electrochemical probes optimized for microbial analysis are utilized in healthcare diagnostics and environmental monitoring applications.

2

Tagkopoulos, I., Y. C. Liu, and S. Tavazoie. "Predictive Behavior within Microbial Genetic Networks." Topologica 2, no. 1 (2009): 018. http://dx.doi.org/10.3731/topologica.2.018.

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3

Fenchel, T. "Microbial Behavior in a Heterogeneous World." Science 296, no. 5570 (May 10, 2002): 1068–71. http://dx.doi.org/10.1126/science.1070118.

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4

Tagkopoulos, I., Y. C. Liu, and S. Tavazoie. "Predictive Behavior Within Microbial Genetic Networks." Science 320, no. 5881 (June 6, 2008): 1313–17. http://dx.doi.org/10.1126/science.1154456.

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5

Moeller, Andrew H., Steffen Foerster, Michael L. Wilson, Anne E. Pusey, Beatrice H. Hahn, and Howard Ochman. "Social behavior shapes the chimpanzee pan-microbiome." Science Advances 2, no. 1 (January 2016): e1500997. http://dx.doi.org/10.1126/sciadv.1500997.

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Animal sociality facilitates the transmission of pathogenic microorganisms among hosts, but the extent to which sociality enables animals’ beneficial microbial associations is poorly understood. The question is critical because microbial communities, particularly those in the gut, are key regulators of host health. We show evidence that chimpanzee social interactions propagate microbial diversity in the gut microbiome both within and between host generations. Frequent social interaction promotes species richness within individual microbiomes as well as homogeneity among the gut community memberships of different chimpanzees. Sampling successive generations across multiple chimpanzee families suggests that infants inherited gut microorganisms primarily through social transmission. These results indicate that social behavior generates a pan-microbiome, preserving microbial diversity across evolutionary time scales and contributing to the evolution of host species–specific gut microbial communities.

6

Xiao, Shuhai, Zhe Chen, Chuanming Zhou, and Xunlai Yuan. "Surfing in and on microbial mats: Oxygen-related behavior of a terminal Ediacaran bilaterian animal." Geology 47, no. 11 (September 23, 2019): 1054–58. http://dx.doi.org/10.1130/g46474.1.

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Abstract Geochemical evidence suggests that terminal Ediacaran (ca. 551–539 Ma) oceans experienced expansive anoxia and dynamic redox conditions, which are expected to have impacted animal distribution and behaviors. However, fossil evidence for oxygen-related behaviors of terminal Ediacaran animals is poorly documented. Here, we report a terminal Ediacaran trace fossil that records redox-regulated behaviors. This trace fossil, Yichnus levis new ichnogenus and new ichnospecies, consists of short and uniserially aligned segments of horizontal burrows that are closely associated with microbial mats. Thin-section analysis shows that the trace-making animal moved repeatedly in and out of microbial mats, with mat-burrowing intervals interspersed by epibenthic intermissions. This animal is hypothesized to have been a bilaterian exploring an oxygen oasis in microbial mats. Such intermittent burrowing behavior reflects challenging and dynamic redox conditions in both the water column and microbial mats, highlighting the close relationship between terminal Ediacaran animals and redox dynamics.

7

Moletta, Marina, Nathalie Wery, Jean-Philippe Delgenes, and Jean-Jacques Godon. "Microbial characteristics of biogas." Water Science and Technology 57, no. 4 (March 1, 2008): 595–99. http://dx.doi.org/10.2166/wst.2008.107.

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The microbial diversity of biogas was analyzed in order to examine the aerosolization behavior of microorganisms. Six biogas samples were analyzed: five from mesophilic and thermophilic anaerobic digestors treating different wastes, and one from landfill. Epifluorescent microscopic counts revealed 106 prokarya m−3. To assess the difference occuring in aerosolization, 498 biogas-borne 16S ribosomal DNA were analyzed and compared to published anaerobic digestor microbial diversity. Results show a large microbial diversity and strong discrepancy with digestor microbial diversity. Three different aerosolisation behaviour patterns can be identified: (i) that of non-aerosolized microorganisms, Deltaproteobacteria, Spirochaetes, Thermotogae, Chloroflexi phyla and sulfate-reducing groups, (ii) that of passively aerosolized microorganisms, including Actinobacteria, Firmicutes and Bacteroidetes phyla and (iii) that of preferentially aerosolized microorganisms, including Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, as well as strictly aerobic and occasionally pathogenic species, presented high levels of aerosolization.

8

Ali, Wisam Hassan. "Microbial Behavior of Imine Compounds on Bacteria." American International Journal of Biology and Life Sciences 1, no. 1 (January 24, 2019): 28–34. http://dx.doi.org/10.46545/aijbls.v1i1.40.

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In our past studies , some imine compounds were prepared m investigated , spectral characterization , it gave good evidence for formation these compounds , but in this studying , these imine derivatives were screened against some types of bacteria and microbes.

9

Stavropoulou, E., and E. Bezirtzoglou. "Predictive Modeling of Microbial Behavior in Food." Foods 8, no. 12 (December 6, 2019): 654. http://dx.doi.org/10.3390/foods8120654.

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Microorganisms can contaminate food, thus causing food spoilage and health risks when the food is consumed. Foods are not sterile; they have a natural flora and a transient flora reflecting their environment. To ensure food is safe, we must destroy these microorganisms or prevent their growth. Recurring hazards due to lapses in the handling, processing, and distribution of foods cannot be solved by obsolete methods and inadequate proposals. They require positive approach and resolution through the pooling of accumulated knowledge. As the industrial domain evolves rapidly and we are faced with pressures to continually improve both products and processes, a considerable competitive advantage can be gained by the introduction of predictive modeling in the food industry. Research and development capital concerns of the industry have been preserved by investigating the plethora of factors able to react on the final product. The presence of microorganisms in foods is critical for the quality of the food. However, microbial behavior is closely related to the properties of food itself such as water activity, pH, storage conditions, temperature, and relative humidity. The effect of these factors together contributing to permitting growth of microorganisms in foods can be predicted by mathematical modeling issued from quantitative studies on microbial populations. The use of predictive models permits us to evaluate shifts in microbial numbers in foods from harvesting to production, thus having a permanent and objective evaluation of the involving parameters. In this vein, predictive microbiology is the study of the microbial behavior in relation to certain environmental conditions, which assure food quality and safety. Microbial responses are evaluated through developed mathematical models, which must be validated for the specific case. As a result, predictive microbiology modeling is a useful tool to be applied for quantitative risk assessment. Herein, we review the predictive models that have been adapted for improvement of the food industry chain through a built virtual prototype of the final product or a process reflecting real-world conditions. It is then expected that predictive models are, nowadays, a useful and valuable tool in research as well as in industrial food conservation processes.

10

Oi, David H., and Roberto M. Pereira. "Ant Behavior and Microbial Pathogens (Hymenoptera: Formicidae)." Florida Entomologist 76, no. 1 (March 1993): 63. http://dx.doi.org/10.2307/3496014.

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11

Hosokawa, Takahiro, and Takema Fukatsu. "Relevance of microbial symbiosis to insect behavior." Current Opinion in Insect Science 39 (June 2020): 91–100. http://dx.doi.org/10.1016/j.cois.2020.03.004.

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12

Sclocco, Alessio, and Serafino Teseo. "Microbial associates and social behavior in ants." Artificial Life and Robotics 25, no. 4 (October 13, 2020): 552–60. http://dx.doi.org/10.1007/s10015-020-00645-z.

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13

Takahashi, Kohei, Xiaojie Li, Tatsuki Kunoh, Ryo Nagasawa, Norio Takeshita, and Andrew S. Utada. "Novel Insights into Microbial Behavior Gleaned Using Microfluidics." Microbes and Environments 38, no. 5 (2023): n/a. http://dx.doi.org/10.1264/jsme2.me22089.

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14

Chipasa, K. B., and K. Mędrzycka. "Behavior of microbial communities developed in the presence/reduced level of soluble microbial products." Journal of Industrial Microbiology & Biotechnology 31, no. 10 (October 6, 2004): 457–61. http://dx.doi.org/10.1007/s10295-004-0169-y.

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15

Dolan, John R. "Microbial biogeography?" Journal of Biogeography 33, no. 2 (February 2006): 199–200. http://dx.doi.org/10.1111/j.1365-2699.2005.01406.x.

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16

Wackett, Lawrence P. "Microbial phytases." Environmental Microbiology 4, no. 11 (December 9, 2002): 774–75. http://dx.doi.org/10.1046/j.1462-2920.2002.00363.x.

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17

Wackett, Lawrence P. "Microbial mineralization." Environmental Microbiology 15, no. 3 (March 2013): 980–81. http://dx.doi.org/10.1111/1462-2920.12087.

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18

Wackett, Lawrence P. "Microbial biomarkers." Environmental Microbiology 9, no. 3 (March 2007): 836–37. http://dx.doi.org/10.1111/j.1462-2920.2007.01262.x.

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19

Wackett, Lawrence P. "Microbial exopolysaccharides." Environmental Microbiology 11, no. 3 (March 2009): 729–30. http://dx.doi.org/10.1111/j.1462-2920.2009.01894.x.

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20

Pfenning-Butterworth, Alaina, Reilly O. Cooper, and Clayton E. Cressler. "Daily feeding rhythm linked to microbiome composition in two zooplankton species." PLOS ONE 17, no. 2 (February 3, 2022): e0263538. http://dx.doi.org/10.1371/journal.pone.0263538.

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Host-associated microbial communities are impacted by external and within-host factors, i.e., diet and feeding behavior. For organisms known to have a circadian rhythm in feeding behavior, microbiome composition is likely impacted by the different rates of microbe introduction and removal across a daily cycle, in addition to any diet-induced changes in microbial interactions. Here, we measured feeding behavior and used 16S rRNA sequencing to compare the microbial community across a diel cycle in two distantly related species of Daphnia, that differ in their life history traits, to assess how daily feeding patterns impact microbiome composition. We find that Daphnia species reared under similar laboratory conditions have significantly different microbial communities. Additionally, we reveal that Daphnia have daily differences in their microbial composition that correspond with feeding behavior, such that there is greater microbiome diversity at night during the host’s active feeding phase. These results highlight that zooplankton microbiomes are relatively distinct and are likely influenced by host phylogeny.

21

Archie, Elizabeth A., and Kevin R. Theis. "Animal behaviour meets microbial ecology." Animal Behaviour 82, no. 3 (September 2011): 425–36. http://dx.doi.org/10.1016/j.anbehav.2011.05.029.

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22

Pacton, M., S. F. M. Breitenbach, F. A. Lechleitner, A. Vaks, C. Rollion-Bard, O. S. Gutareva, A. V. Osintcev, and C. Vasconcelos. "The role of microorganisms in the formation of a stalactite in Botovskaya Cave, Siberia – paleoenvironmental implications." Biogeosciences 10, no. 9 (September 27, 2013): 6115–30. http://dx.doi.org/10.5194/bg-10-6115-2013.

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Abstract. Calcitic speleothems in caves can form through abiogenic or biogenic processes, or through a combination of both. Many issues conspire to make the assessment of biogenicity difficult, especially when focusing on old speleothem deposits. This study reports on a multiproxy analysis of a Siberian stalactite, combining high-resolution microscopy, isotope geochemistry and microbially enhanced mineral precipitation laboratory experiments. The contact between growth layers in a stalactite exhibits a biogenic isotopic signature; coupled with morphological evidence, this supports a microbial origin of calcite crystals. SIMS δ13C data suggest that microbially mediated speleothem formation occurred repeatedly at short intervals before abiotic precipitation took over. The studied stalactite also contains iron and manganese oxides that have been mediated by microbial activity through extracellular polymeric substance (EPS)-influenced organomineralization processes. The latter reflect paleoenvironmental changes that occurred more than 500 000 yr ago, possibly related to the presence of a peat bog above the cave at that time. Microbial activity can initiate calcite deposition in the aphotic zone of caves before inorganic precipitation of speleothem carbonates. This study highlights the importance of microbially induced fractionation that can result in large negative δ13C excursions. The microscale biogeochemical processes imply that microbial activity has only negligible effects on the bulk δ13C signature in speleothems, which is more strongly affected by CO2 degassing and the host rock signature.

23

Pacton, M., S. F. M. Breitenbach, F. A. Lechleitner, A. Vaks, C. Rollion-Bard, O. S. Gutareva, A. V. Osinzev, and C. Vasconcelos. "The role of microorganisms on the formation of a stalactite in Botovskaya Cave, Siberia – palaeoenvironmental implications." Biogeosciences Discussions 10, no. 4 (April 8, 2013): 6563–603. http://dx.doi.org/10.5194/bgd-10-6563-2013.

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Abstract. Calcitic speleothems in caves can form through abiogenic, biogenic, or a combination of both processes. Many issues conspire to make the assessment of biogenicity difficult, especially when focusing on old speleothem deposits. This study reports a multiproxy analysis of a Siberian stalactite, combining high-resolution microscopy, isotope geochemistry and microbially enhanced mineral precipitation laboratory experiments. The contact between growth layers in a stalactite exhibits a biogenic isotopic signature; coupled with morphological evidence this supports a microbial origin of calcite crystals. SIMS δ13C data suggest that microbially mediated speleothem formation occurred repeatedly for short intervals before abiotic precipitation took over. The studied stalactite also contains iron and manganese oxides that have been mediated by microbial activity through extracellular polymeric substances (EPS)-influenced organomineralization processes. The latter reflect palaeoenvironmental changes that occurred more than 500 000 yr ago, possibly related to the presence of a peat bog above the cave at that time. Microbial activity can initiate calcite deposition in the aphotic zone of caves before inorganic precipitation of speleothem carbonates. This study highlights the importance of microbially induced fractionation that can result in large negative δ13C excursions. The micro-scale biogeochemical processes imply that microbial activity has only negligible effects on the bulk δ13C signature in speleothems, which is more strongly affected by CO2 degassing and the hostrock signature.

24

Kladko, Daniil V., Aleksandra S. Falchevskaya, Nikita S. Serov, and Artur Y. Prilepskii. "Nanomaterial Shape Influence on Cell Behavior." International Journal of Molecular Sciences 22, no. 10 (May 17, 2021): 5266. http://dx.doi.org/10.3390/ijms22105266.

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Nanomaterials are proven to affect the biological activity of mammalian and microbial cells profoundly. Despite this fact, only surface chemistry, charge, and area are often linked to these phenomena. Moreover, most attention in this field is directed exclusively at nanomaterial cytotoxicity. At the same time, there is a large body of studies showing the influence of nanomaterials on cellular metabolism, proliferation, differentiation, reprogramming, gene transfer, and many other processes. Furthermore, it has been revealed that in all these cases, the shape of the nanomaterial plays a crucial role. In this paper, the mechanisms of nanomaterials shape control, approaches toward its synthesis, and the influence of nanomaterial shape on various biological activities of mammalian and microbial cells, such as proliferation, differentiation, and metabolism, as well as the prospects of this emerging field, are reviewed.

25

Hong, Chunlan, Jonathan Lalsiamthara, Jie Ren, Yu Sang, and Alejandro Aballay. "Microbial colonization induces histone acetylation critical for inherited gut-germline-neural signaling." PLOS Biology 19, no. 3 (March 31, 2021): e3001169. http://dx.doi.org/10.1371/journal.pbio.3001169.

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The gut-neural axis plays a critical role in the control of several physiological processes, including the communication of signals from the microbiome to the nervous system, which affects learning, memory, and behavior. However, the pathways involved in gut-neural signaling of gut-governed behaviors remain unclear. We found that the intestinal distension caused by the bacteriumPseudomonas aeruginosainduces histone H4 Lys8 acetylation (H4K8ac) in the germline ofCaenorhabditis elegans, which is required for both a bacterial aversion behavior and its transmission to the next generation. We show that induction of H4K8ac in the germline is essential for bacterial aversion and that a 14-3-3 chaperone protein family member, PAR-5, is required for H4K8ac. Our findings highlight a role for H4K8ac in the germline not only in the intergenerational transmission of pathogen avoidance but also in the transmission of pathogenic cues that travel through the gut-neural axis to control the aversive behavior.

26

Lidstrom, Mary E., and Michael C. Konopka. "The role of physiological heterogeneity in microbial population behavior." Nature Chemical Biology 6, no. 10 (September 17, 2010): 705–12. http://dx.doi.org/10.1038/nchembio.436.

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27

Montagner, Francisco, Rogério C. Jacinto, Fernanda G. C. Signoretti, Paula F. Sanches, and Brenda P. F. A. Gomes. "Clustering Behavior in Microbial Communities from Acute Endodontic Infections." Journal of Endodontics 38, no. 2 (February 2012): 158–62. http://dx.doi.org/10.1016/j.joen.2011.09.029.

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28

Wang, Zejie, Yicheng Wu, Lu Wang, and Feng Zhao. "Polarization behavior of microbial fuel cells under stack operation." Chinese Science Bulletin 59, no. 18 (March 26, 2014): 2214–20. http://dx.doi.org/10.1007/s11434-014-0243-4.

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29

Trinh, Ngoc Trung, Jong Hyeok Park, Sang Sik Kim, Jong-Chan Lee, Bun Yeoul Lee, and Byung-Woo Kim. "Generation behavior of elctricity in a microbial fuel cell." Korean Journal of Chemical Engineering 27, no. 2 (February 3, 2010): 546–50. http://dx.doi.org/10.1007/s11814-010-0066-1.

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30

Patnaik, Pratap R. "Intelligent Models of the Quantitative Behavior of Microbial Systems." Food and Bioprocess Technology 2, no. 2 (July 15, 2008): 122–37. http://dx.doi.org/10.1007/s11947-008-0112-8.

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31

Hagadorn, James W., Friedrich Pfluger, and David J. Bottjer. "Unexplored Microbial Worlds." PALAIOS 14, no. 1 (February 1999): 1. http://dx.doi.org/10.2307/3515356.

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32

Wackett, Lawrence P. "Unusual microbial lipids." Environmental Microbiology 9, no. 7 (June 8, 2007): 1863–64. http://dx.doi.org/10.1111/j.1462-2920.2007.01359.x.

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33

Wackett, Lawrence P. "Microbial stress responses." Environmental Microbiology 12, no. 5 (February 3, 2010): 1374–75. http://dx.doi.org/10.1111/j.1462-2920.2010.02244.x.

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34

Wang, Zhengyan, Zhenzhen Chang, Zhiyuan Liu, and Shan Zhang. "Influences of Microbial Symbionts on Chemoreception of Their Insect Hosts." Insects 14, no. 7 (July 14, 2023): 638. http://dx.doi.org/10.3390/insects14070638.

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Chemical communication is widespread among insects and exploited to adjust their behavior, such as food and habitat seeking and preferences, recruitment, defense, and mate attraction. Recently, many studies have revealed that microbial symbionts could regulate host chemical communication by affecting the synthesis and perception of insect semiochemicals. In this paper, we review recent studies of the influence of microbial symbionts on insect chemoreception. Microbial symbionts may influence insect sensitivity to semiochemicals by regulating the synthesis of odorant-binding proteins or chemosensory proteins and olfactory or gustatory receptors and regulating host neurotransmission, thereby adjusting insect behavior. The manipulation of insect chemosensory behavior by microbial symbionts is conducive to their proliferation and dispersal and provides the impetus for insects to change their feeding habits and aggregation and dispersal behavior, which contributes to population differentiation in insects. Future research is necessary to reveal the material and information exchange between both partners to improve our comprehension of the evolution of chemoreception in insects. Manipulating insect chemoreception physiology by inoculating them with microbes could be utilized as a potential approach to managing insect populations.

35

Dolor, Marvourneen K., Cynthia C. Gilmour, and George R. Helz. "Distinct Microbial Behavior of Re Compared to Tc: Evidence Against Microbial Re Fixation in Aquatic Sediments." Geomicrobiology Journal 26, no. 7 (September 24, 2009): 470–83. http://dx.doi.org/10.1080/01490450903060822.

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36

Peng, Xinhong, Junrui Cao, Baolong Xie, Mengshan Duan, and Jianchao Zhao. "Evaluation of degradation behavior over tetracycline hydrochloride by microbial electrochemical technology: Performance, kinetics, and microbial communities." Ecotoxicology and Environmental Safety 188 (January 2020): 109869. http://dx.doi.org/10.1016/j.ecoenv.2019.109869.

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37

Wackett, Lawrence P. "Microbial biofiltration." Environmental Microbiology Reports 1, no. 2 (April 2009): 167–68. http://dx.doi.org/10.1111/j.1758-2229.2009.00027.x.

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38

Wackett, Lawrence P. "Microbial consortia." Environmental Microbiology Reports 5, no. 1 (February 2013): 186–87. http://dx.doi.org/10.1111/1758-2229.12022.

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39

Bull, Alan T. "Microbial diversity." Biodiversity and Conservation 1, no. 4 (1992): 219–20. http://dx.doi.org/10.1007/bf00693759.

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40

Al-Asheh, Sameer, Yousef Al-Assaf, and Ahmed Aidan. "Single-Chamber Microbial Fuel Cells’ Behavior at Different Operational Scenarios." Energies 13, no. 20 (October 19, 2020): 5458. http://dx.doi.org/10.3390/en13205458.

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A Microbial Fuel Cell (MFC) is a process in which a microorganism respires and captures the electrons that normally passes through the electron transport system of the organism and produces electricity. This work intends to present the different operating parameters affecting the efficiency of a Microbial Fuel Cell (MFC) process. To study the performance of the process, various materials for the cathode and anode rods with similar size and chape including, copper, aluminum, carbon cloth, steel and brass were considered to determine the combination that leads to the best results. Moreover, different oxidizing agents such as Copper Sulphate and Potassium Hexacyanoferrate were considered. Furthermore, the effects of shapes, sizes and distance between electrodes on the current and voltage were investigated. The power outputs between electrochemical and microbial cells were recorded. In addition, the power, whether expressed as voltage or current, was measured at different conditions and different cell combinations. The power is directly related to the area, volume of the bacterial solution and supplying air and stirring.

41

Findlay, Stuart. "Stream microbial ecology." Journal of the North American Benthological Society 29, no. 1 (March 2010): 170–81. http://dx.doi.org/10.1899/09-023.1.

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42

Martín-González, Ana, Jacek Wierzchos, Juan C. Gutiérrez, Jesús Alonso, and Carmen Ascaso. "Microbial Cretaceous park: biodiversity of microbial fossils entrapped in amber." Naturwissenschaften 96, no. 5 (February 12, 2009): 551–64. http://dx.doi.org/10.1007/s00114-009-0508-y.

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43

Chen, Yen-Chih, Mohammad R. Seyedsayamdost, and Niels Ringstad. "A microbial metabolite synergizes with endogenous serotonin to triggerC. elegansreproductive behavior." Proceedings of the National Academy of Sciences 117, no. 48 (November 16, 2020): 30589–98. http://dx.doi.org/10.1073/pnas.2017918117.

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Natural products are a major source of small-molecule therapeutics, including those that target the nervous system. We have used a simple serotonin-dependent behavior of the roundwormCaenorhabditis elegans, egg laying, to perform a behavior-based screen for natural products that affect serotonin signaling. Our screen yielded agonists of G protein-coupled serotonin receptors, protein kinase C agonists, and a microbial metabolite not previously known to interact with serotonin signaling pathways: the disulfide-bridged 2,5-diketopiperazine gliotoxin. Effects of gliotoxin on egg-laying behavior required the G protein-coupled serotonin receptors SER-1 and SER-7, and the Gqortholog EGL-30. Furthermore, mutants lacking serotonergic neurons and mutants that cannot synthesize serotonin were profoundly resistant to gliotoxin. Exogenous serotonin restored their sensitivity to gliotoxin, indicating that this compound synergizes with endogenous serotonin to elicit behavior. These data show that a microbial metabolite with no structural similarity to known serotonergic agonists potentiates an endogenous serotonin signal to affect behavior. Based on this study, we suggest that microbial metabolites are a rich source of functionally novel neuroactive molecules.

44

Thompson, Avery. "Exploring microbial motion in non-Newtonian environments." Scilight 2023, no. 4 (January 27, 2023): 041102. http://dx.doi.org/10.1063/10.0017103.

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45

Bever, James D. "Modeling in Microbial Ecology." Ecology 80, no. 3 (April 1999): 1095–96. http://dx.doi.org/10.1890/0012-9658(1999)080[1095:mime]2.0.co;2.

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46

Brock, Thomas D. "Microbial ecosystems of antarctica." Trends in Ecology & Evolution 4, no. 7 (July 1989): 219. http://dx.doi.org/10.1016/0169-5347(89)90080-3.

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47

Lynch, Jim M. "Microbial ecology of leaves." Trends in Ecology & Evolution 7, no. 12 (December 1992): 427–28. http://dx.doi.org/10.1016/0169-5347(92)90033-8.

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48

Khryanin, A. A. "Microbial Biofilms: Modern Concepts." Antibiotics and Chemotherapy 65, no. 5-6 (August 26, 2020): 70–77. http://dx.doi.org/10.37489/0235-2990-2020-65-5-6-70-77.

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The review discusses modern ideas concerning the biofilms of microorganisms. The development phases, structure and components of biofilms are considered as possible antibiotic resistance factors (ARF). Examples of various types of ADB in biofilm bacteria are given. The process of collective regulation through coordination of gene expression in a bacterial population that mediates the specific behavior of cells is considered. Various approaches that affect the components of biofilms have been evaluated in order to reduce their resistance/integrity using a combination of antibacterial drugs and enzymes of various origins. Promising methods for influencing matrix components, signaling molecules, and adhesion factors are recognized. A promising way to increase the effectiveness of the effect of antibiotics on biofilms is the use of hydrolytic enzymes.

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Dicke, Marcel, Antonino Cusumano, and Erik H. Poelman. "Microbial Symbionts of Parasitoids." Annual Review of Entomology 65, no. 1 (January 7, 2020): 171–90. http://dx.doi.org/10.1146/annurev-ento-011019-024939.

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Abstract:

Parasitoids depend on other insects for the development of their offspring. Their eggs are laid in or on a host insect that is consumed during juvenile development. Parasitoids harbor a diversity of microbial symbionts including viruses, bacteria, and fungi. In contrast to symbionts of herbivorous and hematophagous insects, parasitoid symbionts do not provide nutrients. Instead, they are involved in parasitoid reproduction, suppression of host immune responses, and manipulation of the behavior of herbivorous hosts. Moreover, recent research has shown that parasitoid symbionts such as polydnaviruses may also influence plant-mediated interactions among members of plant-associated communities at different trophic levels, such as herbivores, parasitoids, and hyperparasitoids. This implies that these symbionts have a much more extended phenotype than previously thought. This review focuses on the effects of parasitoid symbionts on direct and indirect species interactions and the consequences for community ecology.

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Wei, Na, Avery L. Russell, Abigail R. Jarrett, and Tia‐Lynn Ashman. "Pollinators mediate floral microbial diversity and microbial network under agrochemical disturbance." Molecular Ecology 30, no. 10 (April 2, 2021): 2235–47. http://dx.doi.org/10.1111/mec.15890.

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