Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yipei Guo"'
Publikováno v:
eLife, Vol 12 (2024)
The adaptive dynamics of evolving microbial populations takes place on a complex fitness landscape generated by epistatic interactions. The population generically consists of multiple competing strains, a phenomenon known as clonal interference. Micr
Externí odkaz:
https://doaj.org/article/15b2ca3098e34cb080e9a580a95ba2f1
Autor:
Yipei Guo, Ariel Amir
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Maintaining protein expression levels is essential to cellular homeostasis. Here, the authors investigate how transcription factors affect the stability of protein expression in a gene regulatory network, and highlight the importance of network topol
Externí odkaz:
https://doaj.org/article/8344d6f0b14f47efb0ad50b8889fd622
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 11 (2021)
Advances in genetic engineering technologies have allowed the construction of artificial genetic circuits, which have been used to generate spatial patterns of differential gene expression. However, the question of how cells can be programmed, and ho
Externí odkaz:
https://doaj.org/article/b1ce841067f64dc49e6421a6afc2a033
Autor:
Yipei Guo, Ariel Amir
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-1 (2021)
A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-21415-w
Externí odkaz:
https://doaj.org/article/ecd0ec198fe74db3b043f94dc2c1b6ba
Publikováno v:
eLife; 2/20/2024, p1-25, 25p
The adaptive dynamics of evolving microbial populations takes place on a complex fitness landscape generated by epistatic interactions. The population generically consists of multiple competing strains, a phenomenon known as clonal interference. Micr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b9f7de2899a7299b4e24b3b3d091b33
https://doi.org/10.1101/2023.01.16.524306
https://doi.org/10.1101/2023.01.16.524306
Autor:
Yipei Guo, Ariel Amir
Publikováno v:
Genetics
Adaptation dynamics on fitness landscapes is often studied theoretically in the strong-selection, weak-mutation regime. However, in a large population, multiple beneficial mutants can emerge before any of them fixes in the population. Competition bet
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 11 (2021)
PLoS Computational Biology, Vol 17, Iss 11, p e1009576 (2021)
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 11, p e1009576 (2021)
PLoS Computational Biology
Advances in genetic engineering technologies have allowed the construction of artificial genetic circuits, which have been used to generate spatial patterns of differential gene expression. However, the question of how cells can be programmed, and ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed3fd3903dc16d00a898c746df82dfb7
https://doi.org/10.1101/2020.08.29.273607
https://doi.org/10.1101/2020.08.29.273607
Publikováno v:
Proceedings of the National Academy of Sciences. 115:3593-3598
A ubiquitous feature of bacterial communities is the existence of spatial structures. These are often coupled to metabolism, whereby the spatial organization can improve chemical reaction efficiency. However, it is not clear whether or how a desired
Publikováno v:
Science Advances
Theoretical model suggests that gene interactions, known as epistasis, may dramatically slow down evolutionary dynamics.
Adaptation, where a population evolves increasing fitness in a fixed environment, is typically thought of as a hill-climbing
Adaptation, where a population evolves increasing fitness in a fixed environment, is typically thought of as a hill-climbing