湍流混合控制着不断增长的拮抗种群的固定作用

Jonathan Bauermann, Roberto Benzi, David R. Nelson, Suraj Shankar, Federico Toschi
{"title":"湍流混合控制着不断增长的拮抗种群的固定作用","authors":"Jonathan Bauermann, Roberto Benzi, David R. Nelson, Suraj Shankar, Federico Toschi","doi":"arxiv-2408.16784","DOIUrl":null,"url":null,"abstract":"Unlike coffee and cream that homogenize when stirred, growing micro-organisms\n(e.g., bacteria, baker's yeast) can actively kill each other and avoid mixing.\nHow do such antagonistic interactions impact the growth and survival of\ncompeting strains, while being spatially advected by turbulent flows? By using\nnumerical simulations of a continuum model, we study the dynamics of two\nantagonistic strains that are dispersed by incompressible turbulent flows in\ntwo spatial dimensions. A key parameter is the ratio of the fluid transport\ntime to that of biological reproduction, which determines the winning strain\nthat ultimately takes over the whole population from an initial heterogeneous\nstate. By quantifying the probability and mean time for fixation along with the\nspatial structure of concentration fluctuations, we demonstrate how turbulence\nraises the threshold for biological nucleation and antagonism suppresses\nflow-induced mixing by depleting the population at interfaces. Our work\nhighlights the unusual biological consequences of the interplay of turbulent\nfluid flows with antagonistic population dynamics, with potential implications\nfor marine microbial ecology and origins of biological chirality.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"96 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Turbulent mixing controls fixation of growing antagonistic populations\",\"authors\":\"Jonathan Bauermann, Roberto Benzi, David R. Nelson, Suraj Shankar, Federico Toschi\",\"doi\":\"arxiv-2408.16784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Unlike coffee and cream that homogenize when stirred, growing micro-organisms\\n(e.g., bacteria, baker's yeast) can actively kill each other and avoid mixing.\\nHow do such antagonistic interactions impact the growth and survival of\\ncompeting strains, while being spatially advected by turbulent flows? By using\\nnumerical simulations of a continuum model, we study the dynamics of two\\nantagonistic strains that are dispersed by incompressible turbulent flows in\\ntwo spatial dimensions. A key parameter is the ratio of the fluid transport\\ntime to that of biological reproduction, which determines the winning strain\\nthat ultimately takes over the whole population from an initial heterogeneous\\nstate. By quantifying the probability and mean time for fixation along with the\\nspatial structure of concentration fluctuations, we demonstrate how turbulence\\nraises the threshold for biological nucleation and antagonism suppresses\\nflow-induced mixing by depleting the population at interfaces. Our work\\nhighlights the unusual biological consequences of the interplay of turbulent\\nfluid flows with antagonistic population dynamics, with potential implications\\nfor marine microbial ecology and origins of biological chirality.\",\"PeriodicalId\":501044,\"journal\":{\"name\":\"arXiv - QuanBio - Populations and Evolution\",\"volume\":\"96 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Populations and Evolution\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.16784\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Populations and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.16784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

与咖啡和奶油在搅拌时会均匀化不同,生长中的微生物(如细菌、面包酵母)会主动杀死对方并避免混合。这种拮抗相互作用如何影响竞争菌株的生长和存活,同时在空间上被湍流平移?通过对一个连续模型进行数值模拟,我们研究了两个拮抗菌株在两个空间维度上被不可压缩的湍流分散的动力学过程。一个关键参数是流体传输时间与生物繁殖时间之比,它决定了最终从初始异质状态接管整个种群的胜出菌株。通过量化固定的概率和平均时间以及浓度波动的空间结构,我们证明了湍流是如何提高生物成核的阈值,以及拮抗作用是如何通过消耗界面处的种群来抑制由流体引起的混合。我们的研究凸显了湍流与拮抗种群动力学相互作用所产生的不同寻常的生物后果,对海洋微生物生态学和生物手性起源具有潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Turbulent mixing controls fixation of growing antagonistic populations
Unlike coffee and cream that homogenize when stirred, growing micro-organisms (e.g., bacteria, baker's yeast) can actively kill each other and avoid mixing. How do such antagonistic interactions impact the growth and survival of competing strains, while being spatially advected by turbulent flows? By using numerical simulations of a continuum model, we study the dynamics of two antagonistic strains that are dispersed by incompressible turbulent flows in two spatial dimensions. A key parameter is the ratio of the fluid transport time to that of biological reproduction, which determines the winning strain that ultimately takes over the whole population from an initial heterogeneous state. By quantifying the probability and mean time for fixation along with the spatial structure of concentration fluctuations, we demonstrate how turbulence raises the threshold for biological nucleation and antagonism suppresses flow-induced mixing by depleting the population at interfaces. Our work highlights the unusual biological consequences of the interplay of turbulent fluid flows with antagonistic population dynamics, with potential implications for marine microbial ecology and origins of biological chirality.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Biological arrow of time: Emergence of tangled information hierarchies and self-modelling dynamics k-mer-based approaches to bridging pangenomics and population genetics A weather-driven mathematical model of Culex population abundance and the impact of vector control interventions Dynamics of solutions to a multi-patch epidemic model with a saturation incidence mechanism Higher-order interactions in random Lotka-Volterra communities
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1