TY - JOUR
T1 - Trade-offs between gene expression, growth and phenotypic diversity in microbial populations
AU - Kim, Juhyun
AU - Darlington, Alexander
AU - Salvador, Manuel
AU - Utrilla, José
AU - Jiménez, José I.
N1 - Publisher Copyright:
© 2019 The Author(s)
PY - 2020/4
Y1 - 2020/4
N2 - Bacterial cells have a limited number of resources that can be allocated for gene expression. The intracellular competition for these resources has an impact on the cell physiology. Bacteria have evolved mechanisms to optimize resource allocation in a variety of scenarios, showing a trade-off between the resources used to maximise growth (e.g. ribosome synthesis) and the rest of cellular functions. Limitations in gene expression also play a role in generating phenotypic diversity, which is advantageous in fluctuating environments, at the expenses of decreasing growth rates. Our current understanding of these trade-offs can be exploited for biotechnological applications benefiting from the selective manipulation of the allocation of resources.
AB - Bacterial cells have a limited number of resources that can be allocated for gene expression. The intracellular competition for these resources has an impact on the cell physiology. Bacteria have evolved mechanisms to optimize resource allocation in a variety of scenarios, showing a trade-off between the resources used to maximise growth (e.g. ribosome synthesis) and the rest of cellular functions. Limitations in gene expression also play a role in generating phenotypic diversity, which is advantageous in fluctuating environments, at the expenses of decreasing growth rates. Our current understanding of these trade-offs can be exploited for biotechnological applications benefiting from the selective manipulation of the allocation of resources.
UR - http://www.scopus.com/inward/record.url?scp=85072704784&partnerID=8YFLogxK
U2 - 10.1016/j.copbio.2019.08.004
DO - 10.1016/j.copbio.2019.08.004
M3 - Review article
C2 - 31580950
AN - SCOPUS:85072704784
SN - 0958-1669
VL - 62
SP - 29
EP - 37
JO - Current Opinion in Biotechnology
JF - Current Opinion in Biotechnology
ER -