Industrial wastewater bioreactors: sources of novel microorganisms for biotechnology

Microorganisms exist in nature as members of complex, mixed communities. The microbial communities in industrial wastewater bioreactors can be used as model systems to study the evolution of new metabolic pathways in natural ecosystems. The evolution of microbial metabolic capability in these bioreactors is presumably analogous to phenomena that occur in natural ecosystems. The microorganisms in these bioreactors compete for different carbon sources and constantly have to evolve new metabolic capabilities for survival. Thus, industrial bioreactors should be a rich source of novel biocatalysts.     

Selection, adaptation, and bacterial operons

Bacteria are especially useful as systems to study the molecular basis of adaptive evolution. Selection for novel metabolic capabilities has allowed us to study the evolutionary potential of organisms and has shown that there are three major "strategies" for the evolution of new metabolic functions. (i) Regulatory mutations may allow a gene to be expressed under unusual conditions. If the product of that gene is already active toward a novel resource, then a regulatory mutation alone may confer a new metabolic capability. (ii) Structural gene mutations may alter the catalytic properties of enzymes so that they can act on novel substrates. These structural gene mutations may dramatically improve catalytic capabilities, and in some cases they can confer entirely new capabilities upon enzymes. In most cases both regulatory and structural gene mutations are required for the effective evolution of new metabolic functions. (iii) Operons that are normally silent, or cryptic, may be activated by either point mutations or by the action of mobile genetic elements. When activated, these operons can provide entirely new pathways for the metabolism of novel resources. Selection can also play a role in modulating the probability that a particular adaptive mutation will occur. In this paper I present evidence that a specific adaptive mutation, reversion of the metB1 mutation, occurs 60 to 80 times more frequently during prolonged selection on plates under conditions where the members of the population are not growing than it does in growing cells under nonselective conditions. This selective condition, methionine starvation, does not increase the frequency of other mutations unrelated to methionine biosynthesis.(ABSTRACT TRUNCATED AT 250 WORDS)     

Diverse phenotypic and genetic responses to short‐term selection in evolving Escherichia coli populations

Beneficial mutations fuel adaptation by altering phenotypes that enhance the fit of organisms to their environment. However, the phenotypic effects of mutations often depend on ecological context, making the distribution of effects across multiple environments essential to understanding the true nature of beneficial mutations. Studies that address both the genetic basis and ecological consequences of adaptive mutations remain rare. Here, we characterize the direct and pleiotropic fitness effects of a collection of 21 first‐step beneficial mutants derived from naïve and adapted genotypes used in a long‐term experimental evolution of Escherichia coli. Whole‐genome sequencing was able to identify the majority of beneficial mutations. In contrast to previous studies, we find diverse fitness effects of mutations selected in a simple environment and few cases of genetic parallelism. The pleiotropic effects of these mutations were predominantly positive but some mutants were highly antagonistic in alternative environments. Further, the fitness effects of mutations derived from the adapted genotypes were dramatically reduced in nearly all environments. These findings suggest that many beneficial variants are accessible from a single point on the fitness landscape, and the fixation of alternative beneficial mutations may have dramatic consequences for niche breadth reduction via metabolic erosion.     

The Proteomic Response of Bacillus pumilus Cells to Glucose Starvation

Since starvation for carbon sources is a common condition for bacteria in nature and it can also occur in industrial fermentation processes due to mixing zones, knowledge about the response of cells to carbon starvation is beneficial. The preferred carbon source for bacilli is glucose. The response of Bacillus pumilus cells to glucose starvation using metabolic labeling and quantitative proteomics was analyzed. Glucose starvation led to an extensive reprogramming of the protein expression pattern in B. pumilus. The amounts of proteins of the central carbon metabolic pathways (glycolysis and TCC) remained stable in starving cells. Proteins for gluconeogenesis were found in higher amounts during starvation. Furthermore, many proteins involved in acquisition and usage of alternative carbon sources were present in elevated amounts in starving cells. Enzymes for fatty acid degradation and proteases and peptidases were also found in higher abundance when cells entered stationary phase. Among the proteins found in lower amounts were many enzymes involved in amino acid and nucleotide synthesis and several NRPS and PKS proteins.     

Nitrogen metabolite repression in Aspergillus nidulans

Summary In Aspergillus nidulans, mutations, designated areA^r, can result in the inability to utilise a wide variety of nitrogen sources including amino acids, purines, amides, nitrate, and nitrite, whilst not affecting growth on ammonium. Other allelic areA mutations, designated areA^d, lead to derepression of one or more activities which are ammonium repressible in wild type (areA⁺) strains, whilst not affecting their inducibility. Various areA mutations exhibit a wide variety of phenotypes: areA^r alleles can be temperature sensitive on some nitrogen sources while not on others, and different alleles can be temperature sensitive for utilisation of different nitrogen sources. areA^d alleles can be derepressed for one ammonium-repressible activity, be normally repressible for another, and lead to abnormally low levels for a third. Once again each areA^d allele has its own highly specific phenotype. The inability of areA^r strains to utilise most nitrogen sources is paralleled by low activities of certain ammonium-repressible enzymes. areA^r mutations appear to be epistatic to some but not all regulatory mutations leading to constitutive synthesis of inducible enzymes and also epistatic to gdhA mutations which lead both to loss of NADP-linked glutamate dehydrogenase and to derepression of ammonium-repressible activities. areA^r mutations do not interfere with repair of a large number of auxotrophies in double mutants. Furthermore, although areA^r mutations prevent utilisation of L-arginine, L-ornithine, and L--amino-n-butyrate as nitrogen sources, they do not prevent the metabolism of these compounds necessary for repairing auxotrophies for proline and isoleucine in the appropriate double mutants. Utilisation of acetamide and most amino acids as carbon or carbon and nitrogen sources is unaffected by areA^r mutations, and areA^r strains are able to utilise acetamide and L-proline (but not other amino acids) as nitrogen sources in the presence of non-catabolite-repressing carbon sources such as L-arabinose, glycerol, melibiose, and lactose. Suppressor mutations, designated creA^d, probably leading to loss of carbon catabolite repression, allow utilisation of acetamide and proline as nitrogen sources in areA^r double mutants in the presence of carbon catabolite-repressing carbon sources. creA^d mutations allow ethanol to serve as a source of acetate for pyruvate dehydrogenaseless (pdhA) strains in the presence of carbon catabolite-repressing carbon sources, whereas pdhA single mutants respond to ethanol as sole carbon source only in the presence of non-carbon catabolite-repressing carbon sources. Specific suppressor mutations, designated amd ^d and prn ^d, allow utilisation of acetamide or proline, respectively, in areA^r double mutants.The areA locus can be interpreted as specifying a protein which is capable of (and in most cases essential for) allowing the synthesis of a number of enzymes of nitrogen metabolism but which cannot function in the presence of ammonium (i.e., as specifying a positive regulatory element which mediates ammonium repression) although the possibility that the areA product also plays a negative regulatory role cannot at present be ruled out.     

Exhaustive Analysis of a Genotype Space Comprising 1015 Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation

All biological evolution takes place in a space of possible genotypes and their phenotypes. The structure of this space defines the evolutionary potential and limitations of an evolving system. Metabolism is one of the most ancient and fundamental evolving systems, sustaining life by extracting energy from extracellular nutrients. Here we study metabolism’s potential for innovation by analyzing an exhaustive genotype-phenotype map for a space of 10¹⁵ metabolisms that encodes all possible subsets of 51 reactions in central carbon metabolism. Using flux balance analysis, we predict the viability of these metabolisms on 10 different carbon sources which give rise to 1024 potential metabolic phenotypes. Although viable metabolisms with any one phenotype comprise a tiny fraction of genotype space, their absolute numbers exceed 10⁹ for some phenotypes. Metabolisms with any one phenotype typically form a single network of genotypes that extends far or all the way through metabolic genotype space, where any two genotypes can be reached from each other through a series of single reaction changes. The minimal distance of genotype networks associated with different phenotypes is small, such that one can reach metabolisms with novel phenotypes – viable on new carbon sources – through one or few genotypic changes. Exceptions to these principles exist for those metabolisms whose complexity (number of reactions) is close to the minimum needed for viability. Increasing metabolic complexity enhances the potential for both evolutionary conservation and evolutionary innovation.     

Screening of Bacillus subtilis transposon mutants with altered riboflavin production

To identify novel targets for metabolic engineering of riboflavin production, we generated about 10,000 random, transposon-tagged mutants of an industrial, riboflavin-producing strain of Bacillus subtilis. Process-relevant screening conditions were established by developing a 96-deep-well plate method with raffinose as the carbon source, which mimics, to some extent, carbon limitation in fed batch cultures. Screening in raffinose and complex LB medium identified more efficiently riboflavin overproducing and underproducing mutants, respectively. As expected for a "loss of function" analysis, most identified mutants were underproducers. Insertion mutants in two genes with yet unknown function, however, were found to attain significantly improved riboflavin titers and yields. These genes and possibly further ones that are related to them are promising candidates for metabolic engineering. While causal links to riboflavin production were not obvious for most underproducers, we demonstrated for the gluconeogenic glyceraldehyde-3-phosphate dehydrogenase GapB how a novel, non-obvious metabolic engineering strategy can be derived from such underproduction mutations. Specifically, we improved riboflavin production on various substrates significantly by deregulating expression of the gluconeogenic genes gapB and pckA through knockout of their genetic repressor CcpN. This improvement was also verified under the more process-relevant conditions of a glucose-limited fed-batch culture.     

A genetic screen for zygotic embryonic lethal mutations affecting cuticular morphology in the wasp Nasonia vitripennis

We have screened for zygotic embryonic lethal mutations affecting cuticular morphology in Nasonia vitripennis (Hymenoptera; Chalcidoidea). Our broad goal was to investigate the use of Nasonia for genetically surveying conservation and change in regulatory gene systems, as a means to understand the diversity of developmental strategies that have arisen during the course of evolution. Specifically, we aim to compare anteroposterior patterning gene functions in two long germ band insects, Nasonia and Drosophila. In Nasonia, unfertilized eggs develop as haploid males while fertilized eggs develop as diploid females, so the entire genome can be screened for recessive zygotic mutations by examining the progeny of F1 females. We describe 74 of >100 lines with embryonic cuticular mutant phenotypes, including representatives of coordinate, gap, pair-rule, segment polarity, homeotic, and Polycomb group functions, as well as mutants with novel phenotypes not directly comparable to those of known Drosophila genes. We conclude that Nasonia is a tractable experimental organism for comparative developmental genetic study. The mutants isolated here have begun to outline the extent of conservation and change in the genetic programs controlling embryonic patterning in Nasonia and Drosophila.     

Temperature-sensitive paralytic mutants are enriched for those causing neurodegeneration in Drosophila

Age-dependent neurodegeneration is a pathological condition found in many metazoans. Despite the biological and medical significance of this condition, the cellular and molecular mechanisms underlying neurodegeneration are poorly understood. The availability of a large collection of mutants exhibiting neurodegeneration will provide a valuable resource to elucidate these mechanisms. We have developed an effective screen for isolating neurodegeneration mutants in Drosophila. This screen is based on the observation that neuronal dysfunction, which leads to observable behavioral phenotypes, is often associated with neurodegeneration. Thus, we used a secondary histological screen to examine a collection of mutants originally isolated on the basis of conditional paralytic phenotypes. Using this strategy, we have identified 15 mutations affecting at least nine loci that cause gross neurodegenerative pathology. Here, we present a genetic, behavioral, and anatomical analysis of vacuous (vacu), the first of these mutants to be characterized, and an overview of other mutants isolated in the screen. vacu is a recessive mutation located cytologically at 85D-E that causes locomotor defects in both larvae and adults as well as neuronal hyperactivity. In addition, vacu exhibits extensive age-dependent neurodegeneration throughout the central nervous system. We also identified mutations in at least eight other loci that showed significant levels of neurodegeneration with a diverse array of neuropathological phenotypes. These results demonstrate the effectiveness of our screen in identifying mutations causing neurodegeneration. Further studies of vacu and the other neurodegenerative mutants isolated should ultimately help dissect the biochemical pathways leading to neurodegeneration.     

Isolation and characterization of dominant dwarf mutants, <Emphasis Type="Italic">Slr1-d</Emphasis>, in rice

sd1 is known as the ‘green revolution’ gene in rice because its application in rice breeding has dramatically increased rice yield. Since the ‘green revolution,’ sd1 has been extensively used to produce modern semi-dwarf varieties. The extensive use of limited dwarfing sources may, however, cause a bottleneck effect in the genetic background of rice varieties. To circumvent this problem, novel and useful sources of dwarf genes must be identified. In this study, we identified three semi-dominant dwarf mutants. These mutants were categorized as dn-type dwarf mutants according to the elongation pattern of internodes. Gibberellin (GA) response tests showed that the mutants were still responsive to GA, although at a reduced rate. Map-based cloning revealed that the dwarf phenotype in these mutants was caused by gain-of-function mutations in the N-terminal region of SLR1. Degradation of the SLR1 protein in these mutants occurred later than in the wild type. Reduced interaction abilities of the SLR1 protein in these mutants with GID1 were also observed using the yeast two-hybrid system. Crossing experiments indicated that with the use of an appropriate genetic background, the semi-dominant dwarf alleles identified in this study could be used to alleviate the deficiency of dwarfing genes for breeding applications.     

Phenotype microarray profiling of Staphylococcus aureus menD and hemB mutants with the small-colony-variant phenotype

Standard biochemical tests have revealed that hemin and menadione auxotrophic Staphylococcus aureus small-colony variants (SCVs) exhibit multiple phenotypic changes. To provide a more complete analysis of the SCV phenotype, two genetically defined mutants with a stable SCV phenotype were comprehensively tested. These mutants, generated via mutations in menD or hemB that yielded menadione and hemin auxotrophs, were subjected to phenotype microarray (PM) analysis of over 1,500 phenotypes (including utilization of different carbon, nitrogen, phosphate, and sulfur sources; growth stimulation or inhibition by amino acids and other nutrients, osmolytes, and metabolic inhibitors; and susceptibility to antibiotics). Compared to parent strain COL, the hemB mutant was defective in utilization of a variety of carbon sources, including Krebs cycle intermediates and compounds that ultimately generate ATP via electron transport. The phenotype of the menD mutant was similar to that of the hemB mutant, but the defects in carbon metabolism were more pronounced than those seen with the hemB mutant. In both mutant strains, hexose phosphates and other carbohydrates that provide ATP in the absence of electron transport stimulated growth. Other phenotypes of SCV mutants, such as hypersensitivity to sodium selenite, sodium tellurite, and sodium nitrite, were also uncovered by the PM analysis. Key results of the PM analysis were confirmed in independent growth studies and by using Etest strips for susceptibility testing. PM technology is a new and efficient technology for assessing cellular phenotypes in S. aureus.     

The Escherichia coli BarA-UvrY two-component system is needed for efficient switching between glycolytic and gluconeogenic carbon sources

The Escherichia coli BarA and UvrY proteins were recently demonstrated to constitute a novel two-component system, although its function has remained largely elusive. Here we show that mutations in the sensor kinase gene, barA, or the response regulator gene, uvrY, in uropathogenic E. coli drastically affect survival in long-term competition cultures. Using media with gluconeogenic carbon sources, the mutants have a clear growth advantage when competing with the wild type, but using media with carbon sources feeding into the glycolysis leads to a clear growth advantage for the wild type. Results from competitions with mutants in the carbon storage regulation system, CsrA/B, known to be a master switch between glycolysis and gluconeogenesis, led us to propose that the BarA-UvrY two-component system controls the Csr system. Taking these results together, we propose the BarA-UvrY two-component system is crucial for efficient adaptation between different metabolic pathways, an essential function for adaptation to a new environment.     

A genetic screen for temperature-sensitive cell-division mutants of Caenorhabditis elegans.

A novel screen to isolate conditional cell-division mutants in Caenorhabditis elegans has been developed. The screen is based on the phenotypes associated with existing cell-division mutations: some disrupt postembryonic divisions and affect formation of the gonad and ventral nerve cord-resulting in sterile, uncoordinated animals-while others affect embryonic divisions and result in lethality. We obtained 19 conditional mutants that displayed these phenotypes when shifted to the restrictive temperature at the appropriate developmental stage. Eighteen of these mutations have been mapped; 17 proved to be single alleles of newly identified genes, while 1 proved to be an allele of a previously identified gene. Genetic tests on the embryonic lethal phenotypes indicated that for 13 genes, embryogenesis required maternal expression, while for 6, zygotic expression could suffice. In all cases, maternal expression of wild-type activity was found to be largely sufficient for embryogenesis. Cytological analysis revealed that 10 mutants possessed embryonic cell-division defects, including failure to properly segregate DNA, failure to assemble a mitotic spindle, late cytokinesis defects, prolonged cell cycles, and improperly oriented mitotic spindles. We conclude that this approach can be used to identify mutations that affect various aspects of the cell-division cycle.     

SNPeffect: identifying functional roles of SNPs using metabolic networks

Genetic sources of phenotypic variation have been a focus of plant studies aimed at improving agricultural yield and understanding adaptive processes. Genome‐wide association studies identify the genetic background behind a trait by examining associations between phenotypes and single‐nucleotide polymorphisms (SNPs). Although such studies are common, biological interpretation of the results remains a challenge; especially due to the confounding nature of population structure and the systematic biases thus introduced. Here, we propose a complementary analysis (SNPeffect) that offers putative genotype‐to‐phenotype mechanistic interpretations by integrating biochemical knowledge encoded in metabolic models. SNPeffect is used to explain differential growth rate and metabolite accumulation in A. thaliana and P. trichocarpa accessions as the outcome of SNPs in enzyme‐coding genes. To this end, we also constructed a genome‐scale metabolic model for Populus trichocarpa, the first for a perennial woody tree. As expected, our results indicate that growth is a complex polygenic trait governed by carbon and energy partitioning. The predicted set of functional SNPs in both species are associated with experimentally characterized growth‐determining genes and also suggest putative ones. Functional SNPs were found in pathways such as amino acid metabolism, nucleotide biosynthesis, and cellulose and lignin biosynthesis, in line with breeding strategies that target pathways governing carbon and energy partition.     

High-quality genome-scale metabolic modelling of Pseudomonas putida highlights its broad metabolic capabilities

Genome-scale reconstructions of metabolism are computational species-specific knowledge bases able to compute systemic metabolic properties. We present a comprehensive and validated reconstruction of the biotechnologically relevant bacterium Pseudomonas putida KT2440 that greatly expands computable predictions of its metabolic states. The reconstruction represents a significant reactome expansion over available reconstructed bacterial metabolic networks. Specifically, iJN1462 (i) incorporates several hundred additional genes and associated reactions resulting in new predictive capabilities, including new nutrients supporting growth; (ii) was validated by in vivo growth screens that included previously untested carbon (48) and nitrogen (41) sources; (iii) yielded gene essentiality predictions showing large accuracy when compared with a knock-out library and Bar-seq data; and (iv) allowed mapping of its network to 82 P. putida sequenced strains revealing functional core that reflect the large metabolic versatility of this species, including aromatic compounds derived from lignin. Thus, this study provides a thoroughly updated metabolic reconstruction and new computable phenotypes for P. putida, which can be leveraged as a first step toward understanding the pan metabolic capabilities of Pseudomonas.     

Multiple nutritional requirements of lactobacilli: genetic lesions affecting amino acid biosynthetic pathways.

Genetic lesions responsible for amino acid requirements in several species of multiple auxotrophic lactobacilli were investigated. Systematic attempts were made to isolate mutants that could grow in the absence of each of the amino acids required by the parental strains of Lactobacillus plantarum, L. casei, L. helveticus, and L. acidophilus. After treatment with appropriate mutagens, such mutants could be obtained with respect to many but not all required amino acids. Successful isolation of mutants for a given amino acid means that a minor genetic lesion reparable by single-step mutations affects its biosynthesis; a failure to isolate mutants suggests the involvement of more extensive lesions. Analysis of these results as well as the specific requirements exhibited by the parental strains revealed certain regularities; some of the biosynthetic pathways for individual amino acids were virtually unaffected by more extensive lesions in at least species tested, whereas others were affected by more extensive lesions in at least some species. Both the number and the kind of pathways affected by extensive lesions differed appreciably among different species. Furthermore, the growth response of the parental strains to some putative amino acid precursors revealed a clear correlation between the extent of genetic lesions and the occurrence and location of a genetic block(s) for a given pathway. These findings are discussed in relation to the phylogeny, ecology, and evolution of lactic acid bacteria.     

Rapid classification of phenotypic mutants of Arabidopsis via metabolite fingerprinting

We evaluated the application of gas chromatography-mass spectrometry metabolic fingerprinting to classify forward genetic mutants with similar phenotypes. Mutations affecting distinct metabolic or signaling pathways can result in common phenotypic traits that are used to identify mutants in genetic screens. Measurement of a broad range of metabolites provides information about the underlying processes affected in such mutants. Metabolite profiles of Arabidopsis (Arabidopsis thaliana) mutants defective in starch metabolism and uncharacterized mutants displaying a starch-excess phenotype were compared. Each genotype displayed a unique fingerprint. Statistical methods grouped the mutants robustly into distinct classes. Determining the genes mutated in three uncharacterized mutants confirmed that those clustering with known mutants were genuinely defective in starch metabolism. A mutant that clustered away from the known mutants was defective in the circadian clock and had a pleiotropic starch-excess phenotype. These results indicate that metabolic fingerprinting is a powerful tool that can rapidly classify forward genetic mutants and streamline the process of gene discovery.     

The products of glnL and glnG are bifunctional regulatory proteins

Summary The role of the two glnA linked genes, glnL and glnG, in regulation of glnA expression and nitrogen metabolism in Escherichia coli has been studied by analysis of 131 glnL and 164 glnG genetically characterized mutations. A comparison of phenotypes with genetic position was performed for all mutations in glnL and glnG. We determined the ability of mutants to derepress GS, to grow on a variety of nitrogen sources in the absence of glutamine, and to suppress the glutamine requirement caused by a glnF mutation. The results indicate that both glnL and glnG products mediate negative regulation of glnA. The glnG product, but not that of glnL, is required for derepression of glnA. Both glnL and glnG products are required for positive regulation of gene products involved in the utilization of poor nitrogen sources. In each gene, point mutations were found which confer a phenotype dramatically different than that caused by insertion mutations. These point mutations fall into several frequently occurring classes. The phenotypes of these classes suggests that each gene product has bifunctional regulatory properties. Further, each class tends to be located in only a portion of a gene suggesting that the region encoding each function is genetically distinct.The role of glutamine synthetase in the regulation of glnA expression was investigated using two-dimensional polyacrylamide gel electrophoresis on extracts of 38 GlnA^- mutants. Results of this analysis argue that glutamine synthetase is not structurally involved in the regulation of glnA expression.