Information sharing promotes bacterial diversity in oligotrophic environment with low-dose X-ray radiation based on modeling and simulation of agent-based model

被引:0
作者
Zhang, Xiaojun [1 ]
Li, Baohuan [1 ]
机构
[1] Xilingol League Cent Hosp, Beijing 026000, Inner Mongolia, Peoples R China
关键词
Bacterial diversity; Information sharing; Oligotrophic environment; Low-dose X-ray radiation; Agent-based simulation; CELLULAR-AUTOMATA; IONIZING-RADIATION; COMMUNITIES; STABILITY; QUORUM; COEXISTENCE; COMPLEXITY; SEQUENCE;
D O I
10.1016/j.ecolmodel.2023.110601
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
It remains unclear why bacterial diversity was formed and maintained in oligotrophic environment (OE) with low-dose X-ray radiation (LDXR) due to violation of the competitive exclusion principle in ecology. Based on microbial ecology, bioinformatics, cybernetics, experimental phenomena and data, a new hypothesis was proposed to elucidate information sharing mechanisms driving bacterial community succession with high diversity in OE with LDXR. According to hypothesis, a valid agent-based model (ABM) of cellular automation (CA) was developed to quantitatively describe the hypothesis, and the agent-based simulation sufficiently proved that as the bacterial individuals conduct cooperation to indiscriminately share information of substrate positions with each other in OE with LDXR, it can effectively increase the survival probabilities of all bacterial species, alleviate interspecific competition, and prevent any bacterial species from being dominant, which is beneficial to the coexistence of most species and promotes bacterial diversity during community succession. The results of agentbased simulation are highly similar to the observed phenomena and data in the experiments, therefore sufficiently confirm the proposed hypothesis. This study could not only lay the theoretical foundation for understanding of the crucial role information sharing plays in formation and maintenance of bacterial diversity but also offer effective guidance for bacterial prevention and control as well as other ecological engineering applications.
引用
收藏
页数:10
相关论文
共 38 条
[1]   Interactions among Quorum Sensing Inhibitors [J].
Anand, Rajat ;
Rai, Navneet ;
Thattai, Mukund .
PLOS ONE, 2013, 8 (04)
[2]   Heterogeneity in quorum sensing-regulated bioluminescence of Vibrio harveyi [J].
Anetzberger, Claudia ;
Pirch, Torsten ;
Jung, Kirsten .
MOLECULAR MICROBIOLOGY, 2009, 73 (02) :267-277
[3]   Modelling antibiotic- and anti-quorum sensing treatment of a spatially-structured Pseudomonas aeruginosa population [J].
Anguige, K ;
King, JR ;
Ward, JP .
JOURNAL OF MATHEMATICAL BIOLOGY, 2005, 51 (05) :557-594
[4]   The ecology of microscopic life in household dust [J].
Barberan, Albert ;
Dunn, Robert R. ;
Reich, Brian J. ;
Pacifici, Krishna ;
Laber, Eric B. ;
Menninger, Holly L. ;
Morton, James M. ;
Henley, Jessica B. ;
Leff, Jonathan W. ;
Miller, Shelly L. ;
Fierer, Noah .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2015, 282 (1814) :212-220
[5]   Agent-based modeling of host-pathogen systems: The successes and challenges [J].
Bauer, Amy L. ;
Beauchemin, Catherine A. A. ;
Perelson, Alan S. .
INFORMATION SCIENCES, 2009, 179 (10) :1379-1389
[6]   Complexity in bacterial cell-cell communication: Quorum signal integration and subpopulation signaling in the Bacillus subtilis phosphorelay [J].
Bischofs, Ilka B. ;
Hug, Joshua A. ;
Liu, Aiwen W. ;
Wolf, Denise M. ;
Arkin, Adam P. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (16) :6459-6464
[7]   Ionizing radiation: how fungi cope, adapt, and exploit with the help of melanin [J].
Dadachova, Ekaterina ;
Casadevall, Arturo .
CURRENT OPINION IN MICROBIOLOGY, 2008, 11 (06) :525-531
[8]   A standard protocol for describing individual-based and agent-based models [J].
Grimm, Volker ;
Berger, Uta ;
Bastiansen, Finn ;
Eliassen, Sigrunn ;
Ginot, Vincent ;
Giske, Jarl ;
Goss-Custard, John ;
Grand, Tamara ;
Heinz, Simone K. ;
Huse, Geir ;
Huth, Andreas ;
Jepsen, Jane U. ;
Jorgensen, Christian ;
Mooij, Wolf M. ;
Mueller, Birgit ;
Pe'er, Guy ;
Piou, Cyril ;
Railsback, Steven F. ;
Robbins, Andrew M. ;
Robbins, Martha M. ;
Rossmanith, Eva ;
Rueger, Nadja ;
Strand, Espen ;
Souissi, Sami ;
Stillman, Richard A. ;
Vabo, Rune ;
Visser, Ute ;
DeAngelis, Donald L. .
ECOLOGICAL MODELLING, 2006, 198 (1-2) :115-126
[9]   Refining the stress gradient hypothesis in a microbial community [J].
Hammarlund, Sarah P. ;
Harcombe, William R. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (32) :15760-15762
[10]   Robust stability mechanism of an artificial ecosystem based on biological mutations and synergies driven by ecological information [J].
Hu, Dawei ;
Du, Xiaojie ;
Li, Leyuan ;
Sun, Yi ;
Zhang, Jinhui ;
Bai, Fanlu .
ECOLOGICAL MODELLING, 2016, 319 :208-217