NotI genomic cleavage map of Escherichia coli K-12 strain MG1655.

Several approaches were used to construct a complete NotI restriction enzyme cleavage map of the genome of Escherichia coli MG1655. The approaches included use of transposable element insertions that created auxotrophic mutations and introduced a NotI site into the genome, hybridization of NotI fragments to the ordered lambda library constructed by Kohara et al. (BioTechniques 10:474-477, 1991), Southern blotting of NotI digests with cloned genes as probes, and analysis of the known E. coli DNA sequence for NotI sites. In all, 22 NotI cleavage sites were mapped along with 26 transposon insertions. These sites were localized to clones in the lambda library and, when possible, sequenced genes. The map was compared with that of strain EMG2, a wild-type E. coli K-12 strain, and several differences were found, including a region of about 600 kb with an altered restriction pattern and an additional fragment in MG1655. Comparison of MG1655 with other strains revealed minor differences but indicated that this map was representative of that for many commonly used E. coli K-12 strains.     

Contribution of rpoS and bolA genes in biofilm formation in Escherichia coli K-12 MG1655

Flexibility of gene expression in bacteria permits its survival in varied environments. The genetic adaptation of bacteria through systematized gene expression is not only important, but also clinically relevant in their ability to grow biofilms in stress environments. Stress responses enable their survival under more severe conditions, enhanced resistance and/or virulence. In Escherichia coli (E. coli), two of the possible important genes for biofilm growth are rpoS and bolA gene. RpoS is also called as a master regulator of general stress response. Even though many studies have revealed the importance of rpoS in planktonic cells, little is known about the functions of rpoS in biofilms. In contrast, bolA which is a morphogene in E. coli is overexpressed under stressed environments resulting in round morphology. The hypothesis is that bolA could be implicated in biofilm development. This study reviewed the literature with the aim of understanding the stress tolerance response of E. coli in relation with rpoS and bolA genes in different environmental conditions including heat shock, cold shock, and stress in response to oxidation, acidic condition and in presence of cadmium. Knowledge of the genetic regulation of biofilm formation may lead to the understanding of the factors that drive the bacteria to switch to the biofilm mode of growth.     

Comparative genomic hybridization detects secondary chromosomal deletions in Escherichia coli K-12 MG1655 mutants and highlights instability in the flhDC region

The use of whole-genome microarrays for monitoring mutagenized or otherwise engineered genetic derivatives is a potentially powerful tool for checking genomic integrity. Using comparative genomic hybridization of a number of unrelated, directed deletion mutants in Escherichia coli K-12 MG1655, we identified unintended secondary genomic deletions in the flhDC region in Δfnr, Δcrp, and ΔcreB mutants. These deletions were confirmed by PCR and phenotypic tests. Our findings show that nonmotile progeny are found in some MG1655 directed deletion mutants, and studies on the effects of gene knockouts should be viewed with caution when the mutants have not been screened for the presence of secondary deletions or confirmed by other methods.     

Comparative analysis of the whole set of rRNA operons between an enterohemorrhagic Escherichia coli O157:H7 Sakai strain and an Escherichia coli K-12 strain MG1655

Two primer sets for direct sequence determination of all seven rRNA operons (rrn) of Escherichia coli have been developed; one is for specific-amplification of each rrn operon and the other is for direct sequencing of the amplified operons. Using these primer sets, we determined the nucleotide sequences of seven rrn operons, including promoter and terminator regions, of an enterohemorrhagic E. coli (EHEC) O157:H7 Sakai strain. To elucidate the intercistronic or intraspecific variation of rrn operons, their sequences were compared with those for the K-12 rrn operons. The rrn genes and the internal transcribed spacer regions showed a higher similarity to each other in each strain than between the corresponding operons of the two strains. However, the degree of intercistronic homogeneity was much higher in the EHEC strain than in K-12. In contrast, promoter and terminator regions in each operons were conserved between the corresponding operons of the two strains, which exceeded intercistronic similarity.     

Comparison between Escherichia coli K-12 strains W3110 and MG1655 and wild-type E. coli B as platforms for xylitol production

Escherichia coli W3110 was previously engineered to produce xylitol from a mixture of glucose plus xylose by expressing xylose reductase (CbXR) and deleting xylulokinase (DeltaxylB), combined with either plasmid-based expression of a xylose transporter (XylE or XylFGH) (Khankal et al., J Biotechnol, 2008) or replacing the native crp gene with a mutant (crp*) that alleviates glucose repression of xylose transport (Cirino et al., Biotechnol Bioeng 95:1167-1176, 2006). In this study, E. coli K-12 strains W3110 and MG1655 and wild-type E. coli B were compared as platforms for xylitol production from glucose-xylose mixtures using these same strategies. The engineered strains were compared in fed-batch fermentations and as non-growing resting cells. Expression of CRP* in the E. coli B strains tested was unable to enhance xylose uptake in the presence of glucose. Xylitol production was similar for the (crp*, DeltaxylB)-derivatives of W3110 and MG1655 expressing CbXR (average specific productivities of 0.43 g xylitol g cdw(-1 )h(-1) in fed-batch fermentation). In contrast, results varied substantially between different DeltaxylB-derivative strains co-expressing either XylE or XylFGH. The differences in genetic background between these host strains can therefore profoundly influence metabolic engineering strategies.     

Linkage map of Escherichia coli K-12, edition 8.

The linkage map of Escherichia coli K-12 depicts the arrangement of genes on the circular chromosome of this organism. The basic units of the map are minutes, determined by the time-of-entry of markers from Hfr into F- strains in interrupted-conjugation experiments. The time-of-entry distances have been refined over the years by determination of the frequency of cotransduction of loci in transduction experiments utilizing bacteriophage P1, which transduces segments of DNA approximately 2 min in length. In recent years, the relative positions of many genes have been determined even more precisely by physical techniques, including the mapping of restriction fragments and the sequencing of many small regions of the chromosome. On the whole, the agreement between results obtained by genetic and physical methods has been remarkably good considering the different levels of accuracy to be expected of the methods used. There are now few regions of the map whose length is still in some doubt. In some regions, genetic experiments utilizing different mutant strains give different map distances. In other regions, the genetic markers available have not been close enough to give accurate cotransduction data. The chromosome is now known to contain several inserted elements apparently derived from lambdoid phages and other sources. The nature of the region in which the termination of replication of the chromosome occurs is now known to be much more complex than the picture given in the previous map. The present map is based upon the published literature through June of 1988. There are now 1,403 loci placed on the linkage group, which may represent between one-third and one-half of the genes in this organism.     

Adaptive Evolution of Escherichia coli K-12 MG1655 during Growth on a Nonnative Carbon Source,l-1,2-Propanediol

Laboratory adaptive evolution studies can provide key information to address a wide range of issues in evolutionary biology. Such studies have been limited thus far by the inability of workers to readily detect mutations in evolved microbial strains on a genome scale. This limitation has now been overcome by recently developed genome sequencing technology that allows workers to identify all accumulated mutations that appear during laboratory adaptive evolution. In this study, we evolved Escherichia coli K-12 MG1655 with a nonnative carbon source, l-1,2-propanediol (l-1,2-PDO), for ∼700 generations. We found that (i) experimental evolution of E. coli for ∼700 generations in 1,2-PDO-supplemented minimal medium resulted in acquisition of the ability to use l-1,2-PDO as a sole carbon and energy source so that the organism changed from an organism that did not grow at all initially to an organism that had a growth rate of 0.35 h⁻¹; (ii) six mutations detected by whole-genome resequencing accumulated in the evolved E. coli mutant over the course of adaptive evolution on l-1,2-PDO; (iii) five of the six mutations were within coding regions, and IS5 was inserted between two fuc regulons; (iv) two major mutations (mutations in fucO and its promoter) involved in l-1,2-PDO catabolism appeared early during adaptive evolution; and (v) multiple defined knock-in mutant strains with all of the mutations had growth rates essentially matching that of the evolved strain. These results provide insight into the genetic basis underlying microbial evolution for growth on a nonnative substrate.Evolution of microorganisms in the laboratory offers the possibility of relating acquired mutations to increased fitness of the organism under the conditions used. Complete identification of mutations over defined evolutionary periods is necessary to fully understand the evolutionary change because spontaneous mutation is the foundational biological source of phenotypic variation (52). Since microbes grow rapidly and have large population sizes and since ancestors can be preserved by freezing them for later direct comparison of evolved types, laboratory evolution using microorganisms provides a powerful context for studying the genetics of evolutionary adaptation (5, 12, 14, 19, 43) due to the advent of new technologies for genome-wide detection of mutations (30, 33). A large number of studies of experimental evolution with various microbes have been carried out using natural carbon sources, especially glucose (12, 19, 47, 55), since glucose is the preferred carbon and energy source for most bacteria and eukaryotic cells (4, 50). Recently, a few studies have investigated the adaptive evolution of Escherichia coli at the genetic and metabolic levels with gluconeogenic carbon sources, including lactate (34) and glycerol (20). Compared to experimental evolution with native carbon sources, microorganisms might be more capable of adapting to various nonnative carbon compounds because microorganisms are able to adapt to environmental changes by using a number of strategies to meet their growth requirements and to achieve optimal overall performance in the new conditions (20, 21, 34). However, a comprehensive analysis of the genetic basis of adaptation to nonnative carbon sources has not been performed.The K-12 MG1655 strain of E. coli is not able to utilize l-1,2-propanediol (l-1,2-PDO) as a sole carbon and energy source. However, E. coli has an enzyme, l-1,2-PDO oxidoreductase (POR), which is involved in fermentative l-fucose metabolism and catalyzes the oxidation of l-1,2-PDO to l-lactaldehyde (Fig. ​(Fig.11 A). The E. coli POR is encoded by the fucO gene of the fucose regulon (11, 23), which consists of two divergent operons (fucAO and fucPIKUR) under positive control of FucR (Fig. ​(Fig.1B)1B) (9). FucR is activated by fuculose-1-phosphate, which is the inducer of the fuc regulon (3). In E. coli, fucose metabolism is initiated by the sequential actions of a permease (encoded by fucP), an isomerase (encoded by fucI), a kinase (encoded by fucK), and an aldolase (encoded by fucA). The aldolase catalyzes the cleavage of fuculose-1-phosphate to dihydroxyacetone phosphate and l-lactaldehyde. Under aerobic respiratory conditions, l-lactaldehyde is oxidized to l-lactate by an NAD-linked aldehyde dehydrogenase with broad functions (encoded by aldA). l-Lactate is then oxidized to pyruvate by a flavin adenine dinucleotide (FAD)-dependent l-lactate dehydrogenase (encoded by the lldD gene of the lldPRD operon [formerly the lctPRD operon]). Under anaerobic fermentative conditions, however, redox balance requires sacrifice of the l-lactaldehyde as a hydrogen acceptor at the expense of NADH (Fig. ​(Fig.1A).1A). This reaction is catalyzed by the POR. The terminal fermentation product, l-1,2-PDO, is then released by a permease (57). Although the POR catalyzes the oxidation of l-1,2-PDO to l-lactaldehyde, l-1,2-PDO cannot be utilized by wild-type (WT) E. coli as a sole carbon source under aerobic conditions because this compound cannot induce expression of the fuc regulon (11). Indeed, the fuc regulon was not expressed under any conditions when a database of 213 expression profiles produced in our laboratory was examined (38). Furthermore, even if the POR is expressed, it is oxidatively inactivated by a metal-catalyzed oxidation (MCO) mechanism (7).Open in a separate windowFIG. 1.Metabolic pathway and fuc regulon for l-fucose and l-1,2-PDO. (A) Metabolic pathway for l-fucose and l-1,2-PDO. In E. coli, fucose metabolism is initiated by the sequential actions of a permease (encoded by fucP), an isomerase (encoded by fucI), a kinase (encoded by fucK), and an aldolase (encoded by fucA). The aldolase catalyzes cleavage of fuculose-1-phosphate to dihydroxyacetone phosphate and l-lactaldehyde. Under aerobic respiratory conditions, the l-lactaldehyde is further oxidized by a series of enzymes to pyruvate, which subsequently enters central metabolism. Under anaerobic fermentative conditions, the l-lactaldehyde is reduced to l-1,2-PDO by oxidoreductase (encoded by fucO). (B) Genetic organization of the fuc regulon. The fuc regulon for l-fucose uptake and metabolism consists of two divergent operons, fucAO and fucPIKUR.Sridhara et al. (48) previously described E. coli mutants that were isolated from an E. coli K-12 derivative treated with the mutagen ethyl methanesulfonate and were able to grow aerobically on l-1,2-PDO as a sole carbon source. Previous studies showed that an IS5 insertion between the fucAO and fucPIKUR operons caused constitutive expression of the fucAO operon (9, 41) at a level that enabled the E. coli mutant to grow on l-1,2-PDO. In addition, mutations resulting in increased resistance to MCO under aerobic conditions were found in the N-terminal domain of POR (39). However, at present, little is known about the accumulated genome-wide mutations and their effects on the fitness in E. coli that has acquired the ability to use l-1,2-PDO because previous studies have focused on mutations in POR and its regulatory region.In an attempt to investigate the genetic basis of adaptive evolution of E. coli during growth on l-1,2-PDO, we first isolated an E. coli mutant able to use l-1,2-PDO using experimental evolution without a mutagen, and we then characterized this evolved E. coli mutant. Using whole-genome sequencing, we identified all accumulated mutations of the evolved E. coli mutant related to the known ancestor and also determined the fitness benefits and phenotypic behaviors of the mutations discovered. Our results offer a systematic view of the genetic basis underlying microbial adaptation to a nonnative substrate.     

Description and interpretation of adaptive evolution of Escherichia coli K-12 MG1655 by using a genome-scale in silico metabolic model

Genome-scale in silico metabolic networks of Escherichia coli have been reconstructed. By using a constraint-based in silico model of a reconstructed network, the range of phenotypes exhibited by E. coli under different growth conditions can be computed, and optimal growth phenotypes can be predicted. We hypothesized that the end point of adaptive evolution of E. coli could be accurately described a priori by our in silico model since adaptive evolution should lead to an optimal phenotype. Adaptive evolution of E. coli during prolonged exponential growth was performed with M9 minimal medium supplemented with 2 g of alpha-ketoglutarate per liter, 2 g of lactate per liter, or 2 g of pyruvate per liter at both 30 and 37 degrees C, which produced seven distinct strains. The growth rates, substrate uptake rates, oxygen uptake rates, by-product secretion patterns, and growth rates on alternative substrates were measured for each strain as a function of evolutionary time. Three major conclusions were drawn from the experimental results. First, adaptive evolution leads to a phenotype characterized by maximized growth rates that may not correspond to the highest biomass yield. Second, metabolic phenotypes resulting from adaptive evolution can be described and predicted computationally. Third, adaptive evolution on a single substrate leads to changes in growth characteristics on other substrates that could signify parallel or opposing growth objectives. Together, the results show that genome-scale in silico metabolic models can describe the end point of adaptive evolution a priori and can be used to gain insight into the adaptive evolutionary process for E. coli.     

Genome-wide analysis of lipoprotein expression in Escherichia coli MG1655

To gain insight into the cell envelope of Escherichia coli grown under aerobic and anaerobic conditions, lipoproteins were examined by using functional genomics. The mRNA expression levels of each of these genes under three growth conditions--aerobic, anaerobic, and anaerobic with nitrate--were examined by using both Affymetrix GeneChip E. coli antisense genome arrays and real-time PCR (RT-PCR). Many genes showed significant changes in expression level. The RT-PCR results were in very good agreement with the microarray data. The results of this study represent the first insights into the possible roles of unknown lipoprotein genes and broaden our understanding of the composition of the cell envelope under different environmental conditions. Additionally, these data serve as a test set for the refinement of high-throughput bioinformatic and global gene expression methods.     

Construction of an L-isoleucine overproducing strain of Escherichia coli K-12.

The genes for a threonine deaminase that is resistant to feedback inhibition by L-isoleucine and for an active acetohydroxyacid synthase II were introduced by a plasmid into a L-threonine-producing recombinant strain of Escherichia coli K-12. Analysis of culture broth of the strain using 13C nuclear magnetic resonance suggested that alpha, beta-dihydroxy-beta-methylvalerate (DHMV) and alpha-keto-beta-methylvalerate (KMV), the third and the fourth intermediates in the L-isoleucine biosynthetic pathway from L-threonine, respectively, accumulated in the medium in amounts comparable to that of L-isoleucine. The ratio of accumulated L-isoleucine:DHMV:KMV were approximately 2:1:1. The concentration of accumulated L-isoleucine increased by twofold after the additional introduction of the genes for dihyroxyacid dehydratase (DH) and transaminase-B (TA-B), and the intermediates no longer accumulated. The resultant strain TVD5 accumulated 10 g/l of L-isoleucine from 40 g/l of glucose.     

Whole-genome resequencing of Escherichia coli K-12 MG1655 undergoing short-term laboratory evolution in lactate minimal media reveals flexible selection of adaptive mutations

Background  

Short-term laboratory evolution of bacteria followed by genomic sequencing provides insight into the mechanism of adaptive evolution, such as the number of mutations needed for adaptation, genotype-phenotype relationships, and the reproducibility of adaptive outcomes.