基本信息
浏览量:0
职业迁徙
个人简介
Research Areas:
Microbes are social organisms that are most commonly found forming complex ecological communities. Every species in a community is typically represented by large numbers of cells which may also differ in their individual behaviors. A fascinating fact is that the individual behavior of a microbial cell often depends on what the other cells in their vicinity are doing; much like animals do, microbes implement social strategies. Not having a central nervous system to help them make decisions, bacteria adopt these social strategies as alternative phenotypes, encoded in their DNA sequences and governed by biochemical and gene regulatory circuits. Evolutionary changes in these "decision-making circuits" will therefore affect ecological interactions between species and are an essential component of microbial communities. Our lab is interested in shedding some light into this rather complex system, and understanding the relationship between the evolution of microbial behavior and microbial ecology. For instance, we ask questions such as: How is the social behavior of microbes encoded in their DNA? How does the behavior of individuals from one species affect the behavior of other species in the community? Can we describe these interactions quantitatively? How does the structure of microbial communities affect the evolution of social traits? Can we quantitatively map complex microbial interaction networks and predict their community dynamics? In order to tackle these questions, we use a combination of biophysical tools (in order to grow large numbers of cultures in parallel and help us determine the frequencies of different species in these communities), mathematical and computational modeling (to help us generate quantitative hypotheses and understand our data) and systems and synthetic biology (in order to engineer cells with pre-determined social behaviors and to assemble communities in vitro).
Microbes are social organisms that are most commonly found forming complex ecological communities. Every species in a community is typically represented by large numbers of cells which may also differ in their individual behaviors. A fascinating fact is that the individual behavior of a microbial cell often depends on what the other cells in their vicinity are doing; much like animals do, microbes implement social strategies. Not having a central nervous system to help them make decisions, bacteria adopt these social strategies as alternative phenotypes, encoded in their DNA sequences and governed by biochemical and gene regulatory circuits. Evolutionary changes in these "decision-making circuits" will therefore affect ecological interactions between species and are an essential component of microbial communities. Our lab is interested in shedding some light into this rather complex system, and understanding the relationship between the evolution of microbial behavior and microbial ecology. For instance, we ask questions such as: How is the social behavior of microbes encoded in their DNA? How does the behavior of individuals from one species affect the behavior of other species in the community? Can we describe these interactions quantitatively? How does the structure of microbial communities affect the evolution of social traits? Can we quantitatively map complex microbial interaction networks and predict their community dynamics? In order to tackle these questions, we use a combination of biophysical tools (in order to grow large numbers of cultures in parallel and help us determine the frequencies of different species in these communities), mathematical and computational modeling (to help us generate quantitative hypotheses and understand our data) and systems and synthetic biology (in order to engineer cells with pre-determined social behaviors and to assemble communities in vitro).
研究兴趣
论文共 78 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
MOLECULAR MICROBIOLOGY (2024)
bioRxiv (Cold Spring Harbor Laboratory) (2023)
bioRxiv : the preprint server for biology (2023)
引用0浏览0WOS引用
0
0
Current opinion in microbiology (2023): 102348-102348
引用0浏览0WOS引用
0
0
Cell systemsno. 2 (2023): 122-134
Nora C. Pyenson, Asher Leeks, Odera Nweke,Joshua E. Goldford,Paul Turner,Kevin R. Foster,Álvaro Sánchez
bioRxiv (Cold Spring Harbor Laboratory) (2023)
引用0浏览0引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn