.png){kind=icon}
返回
Predictive Modeling of a Batch Filter Mating Process
.png){kind=icon}
OA
AI
DOI：10.3389/fmicb.2017.00461.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Quantitative characterizations of horizontal gene transfer are needed to accurately describe gene transfer processes in natural and engineered systems. A number of approaches to the quantitative description of plasmid conjugation have appeared in the literature. In this study, we seek to extend that work, motivated by the question of whether a mathematical model can accurately predict growth and conjugation dynamics in a batch process. We used flow cytometry to make time-point observations of a filter-associated mating between two E. coil strains, and fit ordinary differential equation models to the data. A model comparison analysis identified the model formulation that is best supported by the data. Identifiability analysis revealed that the parameters were estimated with acceptable accuracy. The predictive power of the model was assessed by comparison with test data that demanded extrapolation from the training experiments. This study represents the first attempt to assess the quality of model predictions for plasmid conjugation. Our successful application of this approach lays a foundation for predictive modeling that can be used both in the study of natural plasmid transmission and in model based design of engineering approaches that employ conjugation, such as plasmid-mediated bioaugmentation.
Keyword:
mathematical modeling
horizontal gene transfer
plasmid conjugation
uncertainty analysis
batch processing
model comparison
sensitivity analysis
identifiability
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.5
论文数:
4.0W
被引数:
16.6W
机构
引用论文
Bioherbicidal activity of a germacranolide sesquiterpene dilactone fromAmbrosia artemisiifoliaL.OAAI
OAAI分享收藏Studying plasmid horizontal transfer in situ:: A critical review.png)
NATURE REVIEWS MICROBIOLOGY
NATURE REVIEWS MICROBIOLOGYIF103.3
PREAI
分享收藏分享收藏
查看更多内容