scholarly journals Adaptive laboratory evolution of Escherichia coli K-12 MG1655 for growth at high hydrostatic pressure

2015 ◽  
Vol 5 ◽  
Author(s):  
Angeliki Marietou ◽  
Alice T. T. Nguyen ◽  
Eric E. Allen ◽  
Douglas Bartlett
2014 ◽  
Vol 81 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Ryan A. LaCroix ◽  
Troy E. Sandberg ◽  
Edward J. O'Brien ◽  
Jose Utrilla ◽  
Ali Ebrahim ◽  
...  

ABSTRACTAdaptive laboratory evolution (ALE) has emerged as an effective tool for scientific discovery and addressing biotechnological needs. Much of ALE's utility is derived from reproducibly obtained fitness increases. Identifying causal genetic changes and their combinatorial effects is challenging and time-consuming. Understanding how these genetic changes enable increased fitness can be difficult. A series of approaches that address these challenges was developed and demonstrated usingEscherichia coliK-12 MG1655 on glucose minimal media at 37°C. By keepingE. coliin constant substrate excess and exponential growth, fitness increases up to 1.6-fold were obtained compared to the wild type. These increases are comparable to previously reported maximum growth rates in similar conditions but were obtained over a shorter time frame. Across the eight replicate ALE experiments performed, causal mutations were identified using three approaches: identifying mutations in the same gene/region across replicate experiments, sequencing strains before and after computationally determined fitness jumps, and allelic replacement coupled with targeted ALE of reconstructed strains. Three genetic regions were most often mutated: the global transcription generpoB, an 82-bp deletion between the metabolicpyrEgene andrph, and an IS element between the DNA structural genehnsandtdk. Model-derived classification of gene expression revealed a number of processes important for increased growth that were missed using a gene classification system alone. The methods described here represent a powerful combination of technologies to increase the speed and efficiency of ALE studies. The identified mutations can be examined as genetic parts for increasing growth rate in a desired strain and for understanding rapid growth phenotypes.


2018 ◽  
Author(s):  
Douglas McCloskey ◽  
Sibei Xu ◽  
Troy E. Sandberg ◽  
Elizabeth Brunk ◽  
Ying Hefner ◽  
...  

AbstractA mechanistic understanding of how new phenotypes develop to overcome the loss of a gene product provides valuable insight on both the metabolic and regulatory function of the lost gene. Thepgigene, whose product catalyzes the second step in glycolysis, was deleted in a growth optimizedEscherichia coliK-12 MG1655 strain. The knock-out (KO) strain exhibited an 80% drop in growth rate, that was largely recovered in eight replicate, but phenotypically distinct, cultures after undergoing adaptive laboratory evolution (ALE). Multi omic data sets showed that the loss ofpgisubstantially shifted pathway usage leading to a redox and sugar phosphate stress response. These stress responses were overcome by unique combinations of innovative mutations selected for by ALE. Thus, we show the coordinated mechanisms from genome to metabolome that lead to multiple optimal phenotypes after loss of a major gene product.ImportanceA mechanistic understanding of how new phenotypes develop to overcome the loss of a gene product provides valuable insight on both the metabolic and regulatory function of the lost gene. Thepgigene, whose product catalyzes the second step in glycolysis, was deleted in a growth optimizedEscherichia coliK-12 MG1655 strain. Eight replicate adaptive laboratory evolution (ALE) resulted in eight phenotypically distinct endpoints that were able to overcome the gene loss. Utilizing multi-omics analysis, we show the coordinated mechanisms from genome to metabolome that lead to multiple optimal phenotypes after loss of a major gene product.


PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e73995 ◽  
Author(s):  
S. Lucas Black ◽  
Angela Dawson ◽  
F. Bruce Ward ◽  
Rosalind J. Allen

2019 ◽  
Vol 78 ◽  
pp. 171-178 ◽  
Author(s):  
Elisa Gayán ◽  
Nele Rutten ◽  
Jan Van Impe ◽  
Chris W. Michiels ◽  
Abram Aertsen

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