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Articoli di riviste sul tema "Microbial populations"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Gokhale, Chaitanya S., Stefano Giaimo, and Philippe Remigi. "Memory shapes microbial populations." PLOS Computational Biology 17, no. 10 (2021): e1009431. http://dx.doi.org/10.1371/journal.pcbi.1009431.

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Correct decision making is fundamental for all living organisms to thrive under environmental changes. The patterns of environmental variation and the quality of available information define the most favourable strategy among multiple options, from randomly adopting a phenotypic state to sensing and reacting to environmental cues. Cellular memory—the ability to track and condition the time to switch to a different phenotypic state—can help withstand environmental fluctuations. How does memory manifest itself in unicellular organisms? We describe the population-wide consequences of phenotypic m

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2

VÃ¡zquez, Francisco J., MarÃa J. Acea, and Tarsy Carballas. "Soil microbial populations after wildfire." FEMS Microbiology Ecology 13, no. 2 (1993): 93–103. http://dx.doi.org/10.1111/j.1574-6941.1993.tb00055.x.

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3

Haack, Sheridan K., and Barbara A. Bekins. "Microbial populations in contaminant plumes." Hydrogeology Journal 8, no. 1 (2000): 63–76. http://dx.doi.org/10.1007/s100400050008.

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4

Koskella, Britt, and Michiel Vos. "Adaptation in Natural Microbial Populations." Annual Review of Ecology, Evolution, and Systematics 46, no. 1 (2015): 503–22. http://dx.doi.org/10.1146/annurev-ecolsys-112414-054458.

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5

VAZQUEZ, F. "Soil microbial populations after wildfire." FEMS Microbiology Ecology 13, no. 2 (1993): 93–103. http://dx.doi.org/10.1016/0168-6496(93)90027-5.

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6

Oleskin, Alexander V. "Social behaviour of microbial populations." Journal of Basic Microbiology 34, no. 6 (1994): 425–39. http://dx.doi.org/10.1002/jobm.3620340608.

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7

Duan, Xing-Zhi, Guo-Sen Guo, Ling-Fei Zhou, et al. "Enterobacteriaceae as a Key Indicator of Huanglongbing Infection in Diaphorina citri." International Journal of Molecular Sciences 25, no. 10 (2024): 5136. http://dx.doi.org/10.3390/ijms25105136.

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Extensive microbial interactions occur within insect hosts. However, the interactions between the Huanglongbing (HLB) pathogen and endosymbiotic bacteria within the Asian citrus psyllid (ACP, Diaphorina citri Kuwayama) in wild populations remain elusive. Thus, this study aimed to detect the infection rates of HLB in the ACP across five localities in China, with a widespread prevalence in Ruijin (RJ, 58%), Huidong (HD, 28%), and Lingui (LG, 15%) populations. Next, microbial communities of RJ and LG populations collected from citrus were analyzed via 16S rRNA amplicon sequencing. The results rev

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8

Bennett, Albert F., and Bradley S. Hughes. "Microbial experimental evolution." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 297, no. 1 (2009): R17—R25. http://dx.doi.org/10.1152/ajpregu.90562.2008.

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Microbes have been widely used in experimental evolutionary studies because they possess a variety of valuable traits that facilitate large-scale experimentation. Many replicated populations can be cultured in the laboratory simultaneously along with appropriate controls. Short generation times and large population sizes make microbes ideal experimental subjects, ensuring that many spontaneous mutations occur every generation and that adaptive variants can spread rapidly through a population. Another highly useful experimental feature is the ability to preserve and store ancestral and evolutio

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9

KOSEKI, SHIGENOBU, and KAZUHIKO ITOH. "Prediction of Microbial Growth in Fresh-Cut Vegetables Treated with Acidic Electrolyzed Water during Storage under Various Temperature Conditions." Journal of Food Protection 64, no. 12 (2001): 1935–42. http://dx.doi.org/10.4315/0362-028x-64.12.1935.

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Effects of storage temperature (1, 5, and 10°C) on growth of microbial populations (total aerobic bacteria, coliform bacteria, Bacillus cereus, and psychrotrophic bacteria) on acidic electrolyzed water (AcEW)-treated fresh-cut lettuce and cabbage were determined. A modified Gompertz function was used to describe the kinetics of microbial growth. Growth data were analyzed using regression analysis to generate “best-fit” modified Gompertz equations, which were subsequently used to calculate lag time, exponential growth rate, and generation time. The data indicated that the growth kinetics of eac

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10

Shooner, Frédéric, and Rajeshwar D. Tyagi. "Microbial ecology of simultaneous thermophilic microbial leaching and digestion of sewage sludge." Canadian Journal of Microbiology 41, no. 12 (1995): 1071–80. http://dx.doi.org/10.1139/m95-150.

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The microbial population encountered during a simultaneous thermophilic microbial leaching and digestion process at 50 °C, based on microbial sulfur oxidation, was investigated. The cell count of the sulfuric acid producer Thiobacillus thermosulfatus increased, followed by a decrease. In the absence of sulfur (control: conventional thermophilic digestion), Thiobacillus thermosulfatus population decreased under the detection limit. Acidophilic and neutrophilic heterotrophic populations increased during the leaching process, and the final acidophilic population count was higher than the neutroph

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11

Evans, Fubara Gift, Ukoima Hudson Nkalo, Dokuboba Amachree, and Morufu Olalekan Raimi. "From Killer to Solution: Evaluating Bioremediation Strategies on Microbial Diversity in Crude Oil-Contaminated Soil over Three to Six Months in Port Harcourt, Nigeria." Advances in Environmental and Engineering Research 05, no. 04 (2024): 1–26. http://dx.doi.org/10.21926/aeer.2404023.

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The study aimed to evaluate the efficacy of various bioremediation approaches on microbial diversity in crude oil-contaminated soil over three to six months in Port Harcourt, Nigeria. The objective was to assess the impact of different bioremediation strategies on microbial populations, particularly focusing on hydrocarbon-utilizing bacteria and fungi. Microbial populations were quantified using serial dilution and microbial count techniques. The vapor phase transfer mechanism was employed to estimate hydrocarbon-utilizing bacteria and fungi. Bacterial and fungal colonies were incubated for fi

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12

Marshall, Timothy R., and Joseph S. Devinny. "The Microbial Ecosystem in Petroleum Waste Land Treatment." Water Science and Technology 20, no. 11-12 (1988): 285–91. http://dx.doi.org/10.2166/wst.1988.0297.

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Microbial populations, microbial activity and environmental conditions in an operating petroleum waste land treatment facility were monitored for eighteen months. Seasonal influences are apparent for both bacterial and fungal populations. During the cooler, wetter seasons, microbe populations were smaller, less variable and inhibited by the adverse environmental conditions. The hotter, drier months supported large, active populations which experienced large swings in numbers and respiratory output. Microenvironments within aggregates were investigated. Analysis of various aggregate sizes revea

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13

Gendugov, V. M., G. P. Glazunov, and M. V. Yevdokimova. "Macrokinetics of microbial populations in soil." Moscow University Soil Science Bulletin 65, no. 3 (2010): 133–37. http://dx.doi.org/10.3103/s0147687410030075.

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14

Fowler, A. C. "Starvation kinetics of oscillating microbial populations." Mathematical Proceedings of the Royal Irish Academy 114A, no. 2 (2014): 173–89. http://dx.doi.org/10.1353/mpr.2014.0008.

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15

Henson, Michael A. "Dynamic modeling of microbial cell populations." Current Opinion in Biotechnology 14, no. 5 (2003): 460–67. http://dx.doi.org/10.1016/s0958-1669(03)00104-6.

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16

Takhaveev, Vakil, and Matthias Heinemann. "Metabolic heterogeneity in clonal microbial populations." Current Opinion in Microbiology 45 (October 2018): 30–38. http://dx.doi.org/10.1016/j.mib.2018.02.004.

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17

Fowler. "Starvation kinetics of oscillating microbial populations." Mathematical Proceedings of the Royal Irish Academy 114A, no. 2 (2014): 173. http://dx.doi.org/10.3318/pria.2014.114.09.

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18

Nichols, T. D., D. C. Wolf, H. B. Rogers, C. A. Beyrouty, and C. M. Reynolds. "Rhizosphere microbial populations in contaminated soils." Water, Air, & Soil Pollution 95, no. 1-4 (1997): 165–78. http://dx.doi.org/10.1007/bf02406163.

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19

Hwang, Chiachi, Fangqiong Ling, Gary L. Andersen, Mark W. LeChevallier, and Wen-Tso Liu. "Microbial Community Dynamics of an Urban Drinking Water Distribution System Subjected to Phases of Chloramination and Chlorination Treatments." Applied and Environmental Microbiology 78, no. 22 (2012): 7856–65. http://dx.doi.org/10.1128/aem.01892-12.

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ABSTRACTWater utilities in parts of the U.S. control microbial regrowth in drinking water distribution systems (DWDS) by alternating postdisinfection methods between chlorination and chloramination. To examine how this strategy influences drinking water microbial communities, an urban DWDS (population ≅ 40,000) with groundwater as the source water was studied for approximately 2 years. Water samples were collected at five locations in the network at different seasons and analyzed for their chemical and physical characteristics and for their microbial community composition and structure by exam

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20

Milani, Christian, Giulia Alessandri, Leonardo Mancabelli, et al. "Bifidobacterial Distribution Across Italian Cheeses Produced from Raw Milk." Microorganisms 7, no. 12 (2019): 599. http://dx.doi.org/10.3390/microorganisms7120599.

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Cheese microbiota is of high industrial relevance due to its crucial role in defining the organoleptic features of the final product. Nevertheless, the composition of and possible microbe–microbe interactions between these bacterial populations have never been assessed down to the species-level. For this reason, 16S rRNA gene microbial profiling combined with internally transcribed spacer (ITS)-mediated bifidobacterial profiling analyses of various cheeses produced with raw milk were performed in order to achieve an in-depth view of the bifidobacterial populations present in these microbially

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21

VanInsberghe, David, Philip Arevalo, Diana Chien, and Martin F. Polz. "How can microbial population genomics inform community ecology?" Philosophical Transactions of the Royal Society B: Biological Sciences 375, no. 1798 (2020): 20190253. http://dx.doi.org/10.1098/rstb.2019.0253.

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Populations are fundamental units of ecology and evolution, but can we define them for bacteria and archaea in a biologically meaningful way? Here, we review why population structure is difficult to recognize in microbes and how recent advances in measuring contemporary gene flow allow us to identify clearly delineated populations among collections of closely related genomes. Such structure can arise from preferential gene flow caused by coexistence and genetic similarity, defining populations based on biological mechanisms. We show that such gene flow units are sufficiently genetically isolat

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22

Bulaev, A. G., A. V. Artykova, Yu A. Elkina, et al. "Bioleaching of copper-zinc concentrate at different temperatures." Microbiology 93, no. 6 (2024): 773–84. https://doi.org/10.31857/s0026365624060082.

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The goal of this work was to study the process of bioleaching of arsenic-containing polymetallic concentrate containing 16.0% Cu, 5.3% Zn and 1.7% As, under different conditions. The dependence of the leaching of non-ferrous metals on temperature (45 and 55°C) and the use of CO2 and molasses bioreactors as carbon sources for the microbial population, as well as differences in the composition of microbial populations formed in different conditions were studied. Increasing temperatures led to the increase leaching of both copper and zinc. However, at a higher temperature (55°C), the use of addit

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23

Eduar, Andres Isaza Botero, Andrea Londoño Yudy, J. Pino Nancy, and A. Peñuela Gustavo. "Evaluation of methylparaben removal and microbial behavior using a SBR system." Revista Facultad de Ingeniería, Universidad de Antioquia, no. 92 (June 14, 2019): 80–87. https://doi.org/10.17533/udea.redin.20190626.

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We evaluated the variation in microbial populations and the behavior of an SBR system in the removal of methylparaben (MePB). The experimentation was carried out for 14 weeks, in three operational stages as follows: stabilization (Stage I), (Stage II = 300 µgMePB/L and Stage III = 600 µgMePB/L). The variation of the microorganisms was analyzed over the experimentation time along with the contact with the pollutant to be degraded, and the removal percentage of COD and MePB, with results of 88 ± 5,5% and 92 ± 7,7% respectively. Kinetic of MePB removal was evaluated to o

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24

Gao, P. K., G. Q. Li, H. M. Tian, Y. S. Wang, H. W. Sun, and T. Ma. "Differences in microbial community composition between injection and production water samples of water flooding petroleum reservoirs." Biogeosciences 12, no. 11 (2015): 3403–14. http://dx.doi.org/10.5194/bg-12-3403-2015.

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Abstract. Microbial communities in injected water are expected to have significant influence on those of reservoir strata in long-term water flooding petroleum reservoirs. To investigate the similarities and differences in microbial communities in injected water and reservoir strata, high-throughput sequencing of microbial partial 16S rRNA of the water samples collected from the wellhead and downhole of injection wells, and from production wells in a homogeneous sandstone reservoir and a heterogeneous conglomerate reservoir were performed. The results indicate that a small number of microbial

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25

Gilbert, Rosalind, and Diane Ouwerkerk. "The Genetics of Rumen Phage Populations." Proceedings 36, no. 1 (2020): 165. http://dx.doi.org/10.3390/proceedings2019036165.

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The microbial populations of the rumen are widely recognised as being essential for ruminant nutrition and health, utilising and breaking down fibrous plant material which would otherwise be indigestible. The dense and highly diverse viral populations which co-exist with these microbial populations are less understood, despite their potential impacts on microbial lysis and gene transfer. In recent years, studies using metagenomics, metatranscriptomics and proteomics have provided new insights into the types of viruses present in the rumen and the proteins they produce. These studies however ar

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26

Logares, Ramiro. "Population genetics: the next stop for microbial ecologists?" Open Life Sciences 6, no. 6 (2011): 887–92. http://dx.doi.org/10.2478/s11535-011-0086-9.

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AbstractMicrobes play key roles in the functioning of the biosphere. Still, our knowledge about their total diversity is very limited. In particular, we lack a clear understanding of the evolutionary dynamics occurring within their populations (i.e. among members of the same biological species). Unlike animals and plants, microbes normally have huge population sizes, high reproductive rates and the potential for unrestricted dispersal. As a consequence, the knowledge of population genetics acquired from studying animals and plants cannot be applied without extensive testing to microbes. Next g

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27

Hu, Hong-Ying, Koichi Fujie, and Kohei Urano. "Dynamic Behaviour of Aerobic Submerged Biofilter." Water Science and Technology 28, no. 7 (1993): 179–85. http://dx.doi.org/10.2166/wst.1993.0160.

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Dynamic behaviour of microbial film and BOD removal characteristics in an aerobic submerged biofilter packed with ceramic balls were investigated. The effects of BOD loading and temperature on the populations of bacteria and protozoa inhabiting microbial film were investigated. It was ascertained that the BOD removal rate by the microbial film was controlled by the bacterial population, while the microbial concentration in the biofilter was due to the growth of protozoa when the temperature and the BOD loading were low. The analysis of bacterial quinone mixtures was successfully applied to ide

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28

Fernando, S. C., H. T. Purvis, F. Z. Najar, et al. "Rumen Microbial Population Dynamics during Adaptation to a High-Grain Diet." Applied and Environmental Microbiology 76, no. 22 (2010): 7482–90. http://dx.doi.org/10.1128/aem.00388-10.

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ABSTRACT High-grain adaptation programs are widely used with feedlot cattle to balance enhanced growth performance against the risk of acidosis. This adaptation to a high-grain diet from a high-forage diet is known to change the rumen microbial population structure and help establish a stable microbial population within the rumen. Therefore, to evaluate bacterial population dynamics during adaptation to a high-grain diet, 4 ruminally cannulated beef steers were adapted to a high-grain diet using a step-up diet regimen containing grain and hay at ratios of 20:80, 40:60, 60:40, and 80:20. The ru

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29

Tsoi, Ryan, Feilun Wu, Carolyn Zhang, Sharon Bewick, David Karig, and Lingchong You. "Metabolic division of labor in microbial systems." Proceedings of the National Academy of Sciences 115, no. 10 (2018): 2526–31. http://dx.doi.org/10.1073/pnas.1716888115.

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Metabolic pathways are often engineered in single microbial populations. However, the introduction of heterologous circuits into the host can create a substantial metabolic burden that limits the overall productivity of the system. This limitation could be overcome by metabolic division of labor (DOL), whereby distinct populations perform different steps in a metabolic pathway, reducing the burden each population will experience. While conceptually appealing, the conditions when DOL is advantageous have not been rigorously established. Here, we have analyzed 24 common architectures of metaboli

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30

Li, Xiang-Yi, Cleo Pietschke, Sebastian Fraune, Philipp M. Altrock, Thomas C. G. Bosch, and Arne Traulsen. "Which games are growing bacterial populations playing?" Journal of The Royal Society Interface 12, no. 108 (2015): 20150121. http://dx.doi.org/10.1098/rsif.2015.0121.

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Microbial communities display complex population dynamics, both in frequency and absolute density. Evolutionary game theory provides a natural approach to analyse and model this complexity by studying the detailed interactions among players, including competition and conflict, cooperation and coexistence. Classic evolutionary game theory models typically assume constant population size, which often does not hold for microbial populations. Here, we explicitly take into account population growth with frequency-dependent growth parameters, as observed in our experimental system. We study the in v

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31

Tiedje, James M., Suzanne M. Thiem, Arturo Massol-Deya, Jong-Ok Ka, and Marcos R. Fries. "Tracking Microbial Populations Effective in Reducing Exposure." Environmental Health Perspectives 103 (June 1995): 117. http://dx.doi.org/10.2307/3432493.

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Waipara, N. W., F. O. Obanor, and M. Walter. "Impact of phylloplane management on microbial populations." New Zealand Plant Protection 55 (August 1, 2002): 125–28. http://dx.doi.org/10.30843/nzpp.2002.55.3940.

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The impact of apple orchard management on leaf microbial populations was investigated during the 2001/2002 growing season Apple leaves were collected in spring and autumn from two certified organic (BioGro) and IFP (Integrated Fruit Production) managed apple orchards at each of three New Zealand sites (Hawkes Bay Nelson and Canterbury) Phylloplane epiphytes were recovered by leaf washing using a stomacher blender and the microorganisms enumerated using serial plate dilutions The microorganisms were separated into recognisable taxonomic units (RTUs) based on colony morphology Analysis of both s

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Tiedje, J. M., S. M. Thiem, A. Massol-Deyá, J. O. Ka, and M. R. Fries. "Tracking microbial populations effective in reducing exposure." Environmental Health Perspectives 103, suppl 5 (1995): 117–20. http://dx.doi.org/10.1289/ehp.95103s4117.

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34

Lenski, R. E. "Assessing the genetic structure of microbial populations." Proceedings of the National Academy of Sciences 90, no. 10 (1993): 4334–36. http://dx.doi.org/10.1073/pnas.90.10.4334.

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35

Pfeiffer, Thomas, and Sebastian Bonhoeffer. "Evolution of Cross‐Feeding in Microbial Populations." American Naturalist 163, no. 6 (2004): E126—E135. http://dx.doi.org/10.1086/383593.

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Delarue, Morgan, Jörn Hartung, Carl Schreck, et al. "Self-driven jamming in growing microbial populations." Nature Physics 12, no. 8 (2016): 762–66. http://dx.doi.org/10.1038/nphys3741.

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Childs, Lauren M., Whitney E. England, Mark J. Young, Joshua S. Weitz, and Rachel J. Whitaker. "CRISPR-Induced Distributed Immunity in Microbial Populations." PLoS ONE 9, no. 7 (2014): e101710. http://dx.doi.org/10.1371/journal.pone.0101710.

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Cannon, Matthew V., Joseph Craine, James Hester, et al. "Dynamic microbial populations along the Cuyahoga River." PLOS ONE 12, no. 10 (2017): e0186290. http://dx.doi.org/10.1371/journal.pone.0186290.

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De Leenheer, Patrick, and N. G. Cogan. "Failure of antibiotic treatment in microbial populations." Journal of Mathematical Biology 59, no. 4 (2008): 563–79. http://dx.doi.org/10.1007/s00285-008-0243-6.

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Nodar, R., M. J. Acea, and T. Carballas. "Microbial populations of poultry pine-sawdust litter." Biological Wastes 33, no. 4 (1990): 295–306. http://dx.doi.org/10.1016/0269-7483(90)90133-d.

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Chuang, John S. "Engineering multicellular traits in synthetic microbial populations." Current Opinion in Chemical Biology 16, no. 3-4 (2012): 370–78. http://dx.doi.org/10.1016/j.cbpa.2012.04.002.

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Palmer, C. "Rapid quantitative profiling of complex microbial populations." Nucleic Acids Research 34, no. 1 (2006): e5-e5. http://dx.doi.org/10.1093/nar/gnj007.

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Mancino, C. F., and W. A. Torello. "Enumeration of denitrifying microbial populations in turf." Plant and Soil 96, no. 1 (1986): 149–51. http://dx.doi.org/10.1007/bf02375006.

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Liao, Xiaobin, Bingxin Li, Rusen Zou, Shuguang Xie, and Baoling Yuan. "Antibiotic sulfanilamide biodegradation by acclimated microbial populations." Applied Microbiology and Biotechnology 100, no. 5 (2015): 2439–47. http://dx.doi.org/10.1007/s00253-015-7133-9.

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Atlas, Ronald M., Ami Horowitz, Micah Krichevsky, and Asim K. Bej. "Response of microbial populations to environmental disturbance." Microbial Ecology 22, no. 1 (1991): 249–56. http://dx.doi.org/10.1007/bf02540227.

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46

Peretti, S. W., and J. E. Bailey. "Transient response simulations of recombinant microbial populations." Biotechnology and Bioengineering 32, no. 4 (1988): 418–29. http://dx.doi.org/10.1002/bit.260320403.

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47

Viljoen, Clint R., and Alexander von Holy. "Microbial populations associated with commercial bread production." Journal of Basic Microbiology 37, no. 6 (1997): 439–44. http://dx.doi.org/10.1002/jobm.3620370612.

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Blum, Udo, and Steven R. Shafer. "Microbial populations and phenolic acids in soil." Soil Biology and Biochemistry 20, no. 6 (1988): 793–800. http://dx.doi.org/10.1016/0038-0717(88)90084-3.

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Pflug, Florian G., Deepak Bhat, and Simone Pigolotti. "Genome replication in asynchronously growing microbial populations." PLOS Computational Biology 20, no. 1 (2024): e1011753. http://dx.doi.org/10.1371/journal.pcbi.1011753.

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Abstract (sommario):

Biological cells replicate their genomes in a well-planned manner. The DNA replication program of an organism determines the timing at which different genomic regions are replicated, with fundamental consequences for cell homeostasis and genome stability. In a growing cell culture, genomic regions that are replicated early should be more abundant than regions that are replicated late. This abundance pattern can be experimentally measured using deep sequencing. However, a general quantitative theory linking this pattern to the replication program is still lacking. In this paper, we predict the

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N, Pruthviraj, and Geetha K N. "Impact of Nanofertilizers on Soil Microbial Populations." International Journal of Environment and Climate Change 14, no. 6 (2024): 406–35. http://dx.doi.org/10.9734/ijecc/2024/v14i64240.

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A field experiment was conducted at Zonal Agricultural Research Station, GKVK, Bengaluru during 2019 and 2020 to know the Impact of Nanofertilizers on Soil Microbial Populations. The experiment was laid out in Randomized Complete Block Design (Factorial concept) with two factors [Factor I -Seed treatment) [Factor II (F- foliar application of nutrients at ray floret stage) with two control C1 : Recommended dose of fertilizers (RDF) only and C2 : Recommended package of practices (RPP) treatments replicated thrice. In this experiment treatment seed priming with 1500 ppm nano boron nitride (Green

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