The implication of life style on codon usage patterns and predicted highly expressed genes for three Frankia genomes

Frankia alni Carbonic Anhydrase Regulates Cytoplasmic pH of Nitrogen-Fixing Vesicles

A phyloprofile of Frankia genomes was carried out to identify those genes present in symbiotic strains of clusters 1, 1c, 2 and 3 and absent in non-infective strains of cluster 4. At a threshold of 50% AA identity, 108 genes were retrieved. Among these were known symbiosis-associated genes such as nif (nitrogenase), and genes which are not know as symbiosis-associated genes such as can (carbonic anhydrase, CAN). The role of CAN, which supplies carbonate ions necessary for carboxylases and acidifies the cytoplasm, was thus analyzed by staining cells with pH-responsive dyes; assaying for CO₂ levels in N-fixing propionate-fed cells (that require a propionate-CoA carboxylase to yield succinate-CoA), fumarate-fed cells and N-replete propionate-fed cells; conducting proteomics on N-fixing fumarate and propionate-fed cells and direct measurement of organic acids in nodules and in roots. The interiors of both in vitro and nodular vesicles were found to be at a lower pH than that of hyphae. CO₂ levels in N₂-fixing propionate-fed cultures were lower than in N-replete ones. Proteomics of propionate-fed cells showed carbamoyl-phosphate synthase (CPS) as the most overabundant enzyme relative to fumarate-fed cells. CPS combines carbonate and ammonium in the first step of the citrulline pathway, something which would help manage acidity and NH₄⁺. Nodules were found to have sizeable amounts of pyruvate and acetate in addition to TCA intermediates. This points to CAN reducing the vesicles' pH to prevent the escape of NH₃ and to control ammonium assimilation by GS and GOGAT, two enzymes that work in different ways in vesicles and hyphae. Genes with related functions (carboxylases, biotin operon and citrulline-aspartate ligase) appear to have undergone decay in non-symbiotic lineages.

The hunt for a yet unknown: Common molecular signature in some genetically monomorphic enterobacteria

Mark Achtman introduced the term "genetically monomorphic bacteria" (GM bacteria) for some human and plant pathogens. They displayed a great uniformity in terms of their "genetic" properties. This "uniformity" poses a challenge to microbiologists. To address these problems, we used CodonW and IslandViewer 3 as analytical tools and took Escherichia coli, Salmonella, and Shigella strains as a model organisms. We hypothesized that GM bacterium contains a common molecular signature among them. We have found a significant correlation regarding the number of protein-coding genes, predicted highly expressed genes, and the highest length of gene in this regard. On the other hand, the correspondence analysis of pathogenicity-related genes identified by IslandViewer 3 displayed a somewhat unique pattern in GM bacteria. The probable pathogenic genes are clustered into two separate groups, which is a hallmark of some pattern. Similar genes of non-monomorphic pathogenic strain clustered almost similarly, but the clusters are joined together, they are not completely separated. These features, in our considered view, may be considered as codon usages signatures of these bacteria, and E. coli in particular.

Comparative genomics of Mycobacterium reveals evolutionary trends of M. avium complex

Mycobacterium is gram positive, slow growing, disease causing Actinobacteria. Beside potential pathogenic species, Mycobacterium also contains opportunistic pathogens as well as free living non-pathogenic species. Disease related various analyses on Mycobacterium tuberculosis are very widespread. However, genomic study of overall Mycobacterium species for understanding the selection pressure on genes as well as evolution of the organism is still illusive. MLSA and 16s rDNA based analysis has been generated for 241 Mycobacterium strains and a detailed analysis of codon and amino acid usage bias of mycobacterial genes, their functional analysis have been done. Further the evolutionary features of M. avium complex also have been revealed. Mycobacterial genes are moderately GC rich showed higher expression level in PPs and significant negative correlation with biosynthetic cost of proteins. Translational selection pressure was observed in mycobacterial genes. MAC showed close relationship with NPs and higher evolutionary rate in MAC revealed their constant evolving nature.

Host Plant Compatibility Shapes the Proteogenome of Frankia coriariae

Molecular signaling networks in the actinorhizal rhizosphere select host-compatible Frankia strains, trigger the infection process and eventually the genesis of nitrogen-fixing nodules. The molecular triggers involved remain difficult to ascertain. Root exudates (RE) are highly dynamic substrates that play key roles in establishing the rhizosphere microbiome. RE are known to induce the secretion by rhizobia of Nod factors, polysaccharides, and other proteins in the case of legume symbiosis. Next-generation proteomic approach was here used to decipher the key bacterial signals matching the first-step recognition of host plant stimuli upon treatment of Frankia coriariae strain BMG5.1 with RE derived from compatible (Coriaria myrtifolia), incompatible (Alnus glutinosa), and non-actinorhizal (Cucumis melo) host plants. The Frankia proteome dynamics were mainly driven by host compatibility. Both metabolism and signal transduction were the dominant activities for BMG5.1 under the different RE conditions tested. A second set of proteins that were solely induced by C. myrtifolia RE and were mainly linked to cell wall remodeling, signal transduction and host signal processing activities. These proteins may footprint early steps in receptive recognition of host stimuli before subsequent events of symbiotic recruitment.

Multiple Evolutionary Selections Involved in Synonymous Codon Usages in the Streptococcus agalactiae Genome

Streptococcus agalactiae is an important human and animal pathogen. To better understand the genetic features and evolution of S. agalactiae, multiple factors influencing synonymous codon usage patterns in S. agalactiae were analyzed in this study. A- and U-ending rich codons were used in S. agalactiae function genes through the overall codon usage analysis, indicating that Adenine (A)/Thymine (T) compositional constraints might contribute an important role to the synonymous codon usage pattern. The GC3% against the effective number of codon (ENC) value suggested that translational selection was the important factor for codon bias in the microorganism. Principal component analysis (PCA) showed that (i) mutational pressure was the most important factor in shaping codon usage of all open reading frames (ORFs) in the S. agalactiae genome; (ii) strand specific mutational bias was not capable of influencing the codon usage bias in the leading and lagging strands; and (iii) gene length was not the important factor in synonymous codon usage pattern in this organism. Additionally, the high correlation between tRNA adaptation index (tAI) value and codon adaptation index (CAI), frequency of optimal codons (Fop) value, reinforced the role of natural selection for efficient translation in S. agalactiae. Comparison of synonymous codon usage pattern between S. agalactiae and susceptible hosts (human and tilapia) showed that synonymous codon usage of S. agalactiae was independent of the synonymous codon usage of susceptible hosts. The study of codon usage in S. agalactiae may provide evidence about the molecular evolution of the bacterium and a greater understanding of evolutionary relationships between S. agalactiae and its hosts.

The ins and outs of metal homeostasis by the root nodule actinobacterium Frankia

BACKGROUND

Frankia are actinobacteria that form a symbiotic nitrogen-fixing association with actinorhizal plants, and play a significant role in actinorhizal plant colonization of metal contaminated areas. Many Frankia strains are known to be resistant to several toxic metals and metalloids including Pb(2+), Al(+3), SeO2, Cu(2+), AsO4, and Zn(2+). With the availability of eight Frankia genome databases, comparative genomics approaches employing phylogeny, amino acid composition analysis, and synteny were used to identify metal homeostasis mechanisms in eight Frankia strains. Characterized genes from the literature and a meta-analysis of 18 heavy metal gene microarray studies were used for comparison.

RESULTS

Unlike most bacteria, Frankia utilize all of the essential trace elements (Ni, Co, Cu, Se, Mo, B, Zn, Fe, and Mn) and have a comparatively high percentage of metalloproteins, particularly in the more metal resistant strains. Cation diffusion facilitators, being one of the few known metal resistance mechanisms found in the Frankia genomes, were strong candidates for general divalent metal resistance in all of the Frankia strains. Gene duplication and amino acid substitutions that enhanced the metal affinity of CopA and CopCD proteins may be responsible for the copper resistance found in some Frankia strains. CopA and a new potential metal transporter, DUF347, may be involved in the particularly high lead tolerance in Frankia. Selenite resistance involved an alternate sulfur importer (CysPUWA) that prevents sulfur starvation, and reductases to produce elemental selenium. The pattern of arsenate, but not arsenite, resistance was achieved by Frankia using the novel arsenite exporter (AqpS) previously identified in the nitrogen-fixing plant symbiont Sinorhizobium meliloti. Based on the presence of multiple tellurite resistance factors, a new metal resistance (tellurite) was identified and confirmed in Frankia.

CONCLUSIONS

Each strain had a unique combination of metal import, binding, modification, and export genes that explain differences in patterns of metal resistance between strains. Frankia has achieved similar levels of metal and metalloid resistance as bacteria from highly metal-contaminated sites. From a bioremediation standpoint, it is important to understand mechanisms that allow the endosymbiont to survive and infect actinorhizal plants in metal contaminated soils.

Codon-optimized antibiotic resistance gene improves efficiency of transient transformation in Frankia

Frankia is a unique actinobacterium having abilities to fix atmospheric dinitrogen and to establish endosymbiosis with trees, but molecular bases underlying these interesting characteristics are poorly understood because of a lack of stable transformation system. Extremely high GC content of Frankia genome (more than 70 percent) can be a hindrance to successful transformation. We generated a synthetic gentamicin resistance gene whose codon usage is optimized to Frankia (fgmR) and evaluated its usefulness as a selection marker using a transient transformation system. Success rate of transient transformation and cell growth in selective culture were significantly increased by use of fgmR instead of a native gentamicin resistance gene, suggesting that codon optimization improved translation efficiency of the marker gene and increased antibiotic resistance. Our result shows that similarity in codon usage pattern is an important factor to be taken into account when exogenous transgenes are expressed in Frankia cells.

Characterization of pseudogenes in members of the order Frankineae

Pseudogenes are defined as non-functional relatives of genes whose protein-coding abilities are lost and are no longer expressed within cells. They are an outcome of accumulation of mutations within a gene whose end product is not essential for survival. Proper investigation of the procedure of pseudogenization is relevant for estimating occurrence of duplications in genomes. Frankineae houses an interesting group of microorganisms, carving a niche in the microbial world. This study was undertaken with the objective of determining the abundance of pseudogenes, understanding strength of purifying selection, investigating evidence of pseudogene expression, and analysing their molecular nature, their origin, evolution and deterioration patterns amongst domain families. Investigation revealed the occurrence of 956 core pFAM families sharing common characteristics indicating co-evolution. WD40, Rve_3, DDE_Tnp_IS240 and phage integrase core domains are larger families, having more pseudogenes, signifying a probability of harmful foreign genes being disabled within transposable elements. High selective pressure depicted that gene families rapidly duplicating and evolving undoubtedly facilitated creation of a number of pseudogenes in Frankineae. Codon usage analysis between protein-coding genes and pseudogenes indicated a wide degree of variation with respect to different factors. Moreover, the majority of pseudogenes were under the effect of purifying selection. Frankineae pseudogenes were under stronger selective constraints, indicating that they were functional for a very long time and became pseudogenes abruptly. The origin and deterioration of pseudogenes has been attributed to selection and mutational pressure acting upon sequences for adapting to stressed soil environments.

A database for Mycobacterium secretome analysis: 'MycoSec' to accelerate global health research

Abstract Members of the genus Mycobacterium are notorious for their pathogenesis. Investigations from various perspectives have identified the pathogenic strategies employed by these lethal pathogens. Secretomes are believed to play crucial roles in host cell recognition and cross-talks, in cellular attachment, and in triggering other functions related to host pathogen interactions. However, a proper idea of the mycobacterial secretomes and their mechanism of functionality still remains elusive. In the present study, we have developed a comprehensive database of potential mycobacterial secretomes (MycoSec) using pre-existing algorithms for secretome prediction for researchers interested in this particular field. The database provides a platform for retrieval and analysis of identified secretomes in all finished genomes of the family Mycobacteriaceae. The database contains valuable information regarding secretory signal peptides (Sec type), lipoprotein signal peptides (Lipo type), and Twin arginine (RR/KR) signal peptides (TAT type), prevalent in mycobacteria. Information pertaining to COG analysis, codon usage, and gene expression of the predicted secretomes has also been incorporated in the database. MycoSec promises to be a useful repertoire providing a plethora of information regarding mycobacterial secretomes and may well be a platform to speed global health research. MycoSec is freely accessible at http://www.bicnbu.in/mycosec .

Analysis of synonymous codon usage patterns in the genus Rhizobium

The codon usage patterns of rhizobia have received increasing attention. However, little information is available regarding the conserved features of the codon usage patterns in a typical rhizobial genus. The codon usage patterns of six completely sequenced strains belonging to the genus Rhizobium were analysed as model rhizobia in the present study. The relative neutrality plot showed that selection pressure played a role in codon usage in the genus Rhizobium. Spearman's rank correlation analysis combined with correspondence analysis (COA) showed that the codon adaptation index and the effective number of codons (ENC) had strong correlation with the first axis of the COA, which indicated the important role of gene expression level and the ENC in the codon usage patterns in this genus. The relative synonymous codon usage of Cys codons had the strongest correlation with the second axis of the COA. Accordingly, the usage of Cys codons was another important factor that shaped the codon usage patterns in Rhizobium genomes and was a conserved feature of the genus. Moreover, the comparison of codon usage between highly and lowly expressed genes showed that 20 unique preferred codons were shared among Rhizobium genomes, revealing another conserved feature of the genus. This is the first report of the codon usage patterns in the genus Rhizobium.

The biology of Frankia sp. strains in the post-genome era

Progress in understanding symbiotic determinants involved in the N(2)-fixing actinorhizal plant symbioses has been slow but steady. Problems persist with studying the bacterial contributions to the symbiosis using traditional microbiological techniques. However, recent years have seen the emergence of several genomes from Frankia sp. strains and the development of techniques for manipulating plant gene expression. Approaches to understanding the bacterial side of the symbiosis have employed a range of techniques that reveal the proteomes and transcriptomes from both cultured and symbiotic frankiae. The picture beginning to emerge provides some perspective on the heterogeneity of frankial populations in both conditions. In general, frankial populations in root nodules seem to maintain a rather robust metabolism that includes nitrogen fixation and substantial biosynthesis and energy-generating pathways, along with a modified ammonium assimilation program. To date, particular bacterial genes have not been implicated in root nodule formation but some hypotheses are emerging with regard to how the plant and microorganism manage to coexist. In particular, frankiae seem to present a nonpathogenic presence to the plant that may have the effect of minimizing some plant defense responses. Future studies using high-throughput approaches will likely clarify the range of bacterial responses to symbiosis that will need to be understood in light of the more rapidly advancing work on the plant host.

A close relationship between primary nucleotides sequence structure and the composition of functional genes in the genome of prokaryotes

Comparative genomics is an essential tool to unravel how genomes change over evolutionary time and to gain clues on the links between functional genomics and evolution. In prokaryotes, the large, good quality, genome sequences available in public databases and the recently developed large-scale computational methods, offer an unprecedent view on the ecology and evolution of microorganisms through comparative genomics. In this work, we examined the links among genome structure (i.e., the sequential distribution of nucleotides itself by detrended fluctuation analysis, DFA) and genomic diversity (i.e., gene functionality by Clusters of Orthologous Genes, COGs) in 828 full sequenced prokaryotic genomes from 548 different bacteria and archaea species. DFA scaling exponent α indicated persistent long-range correlations (fractality) in each genome analyzed. Higher resolution power was found when considering the sequential succession of purine (AG) vs. pyrimidine (CT) bases than either keto (GT) to amino (AC) forms or strongly (GC) vs. weakly (AT) bonded nucleotides. Interestingly, the phyla Aquificae, Fusobacteria, Dictyoglomi, Nitrospirae, and Thermotogae were closer to archaea than to their bacterial counterparts. A strong significant correlation was found between scaling exponent α and COGs distribution, and we consistently observed that the larger α the more heterogeneous was the gene distribution within each functional category, suggesting a close relationship between primary nucleotides sequence structure and functional genes composition.

Identification of TTA codon containing genes in Frankia and exploration of the role of tRNA in regulating these genes

The TTA codon, one of the six available codons for the amino acid leucine, is the rarest codon among the high GC genomes of Actinobacteria including Frankia. This codon has been implicated in various regulatory mechanisms involving secondary metabolism and morphological development. TTA-mediated gene regulation is well documented in Streptomyces coelicolor, but that role has not been investigated in other Actinobacteria including Frankia. Among the various Actinomycetes with a GC content of more than 70%, Frankia genomes had the highest percentages of TTA-containing genes ranging from 5.2 to 10.68% of the genome. In contrast, TTA-bearing genes comprised 1.7, 3.4 and 4.1% of the Streptomyces coelicolor, S. avermitilis and Nocardia farcinia genomes, respectively. We analyzed their functional role, evolutionary significance, horizontal acquisition and the codon-anticodon interaction. The TTA-bearing genes were found to be well represented in metabolic genes involved in amino acid transport and secondary metabolism. A reciprocal Blast search reveal that many of the TTA-bearing genes have orthologs in the other Frankia genomes, and some of these orthologous genes also have a TTA codon in them. The gene expression level of TTA-containing genes was estimated by the use of the codon adaption index (CAI), and the CAI values were found to have a positive correlation with the GC3 (GC content at the 3rd codon position). A full-atomic 3D model of the leucine tRNA recognizing the TTA (UUA) codon was generated and utilized for in silico docking to determine binding affinity in codon-anticodon interaction. We found a proficient codon-anticodon interaction for this codon which is perhaps why so many genes hold on to this rare codon without compromising their translational efficiency.

Significant natural product biosynthetic potential of actinorhizal symbionts of the genus frankia, as revealed by comparative genomic and proteomic analyses

Bacteria of the genus Frankia are mycelium-forming actinomycetes that are found as nitrogen-fixing facultative symbionts of actinorhizal plants. Although soil-dwelling actinomycetes are well-known producers of bioactive compounds, the genus Frankia has largely gone uninvestigated for this potential. Bioinformatic analysis of the genome sequences of Frankia strains ACN14a, CcI3, and EAN1pec revealed an unexpected number of secondary metabolic biosynthesis gene clusters. Our analysis led to the identification of at least 65 biosynthetic gene clusters, the vast majority of which appear to be unique and for which products have not been observed or characterized. More than 25 secondary metabolite structures or structure fragments were predicted, and these are expected to include cyclic peptides, siderophores, pigments, signaling molecules, and specialized lipids. Outside the hopanoid gene locus, no cluster could be convincingly demonstrated to be responsible for the few secondary metabolites previously isolated from other Frankia strains. Few clusters were shared among the three species, demonstrating species-specific biosynthetic diversity. Proteomic analysis of Frankia sp. strains CcI3 and EAN1pec showed that significant and diverse secondary metabolic activity was expressed in laboratory cultures. In addition, several prominent signals in the mass range of peptide natural products were observed in Frankia sp. CcI3 by intact-cell matrix-assisted laser desorption-ionization mass spectrometry (MALDI-MS). This work supports the value of bioinformatic investigation in natural products biosynthesis using genomic information and presents a clear roadmap for natural products discovery in the Frankia genus.

Genes optimized by evolution for accurate and fast translation encode in Archaea and Bacteria a broad and characteristic spectrum of protein functions

Background

In many microbial genomes, a strong preference for a small number of codons can be observed in genes whose products are needed by the cell in large quantities. This codon usage bias (CUB) improves translational accuracy and speed and is one of several factors optimizing cell growth. Whereas CUB and the overrepresentation of individual proteins have been studied in detail, it is still unclear which high-level metabolic categories are subject to translational optimization in different habitats.

Results

In a systematic study of 388 microbial species, we have identified for each genome a specific subset of genes characterized by a marked CUB, which we named the effectome. As expected, gene products related to protein synthesis are abundant in both archaeal and bacterial effectomes. In addition, enzymes contributing to energy production and gene products involved in protein folding and stabilization are overrepresented. The comparison of genomes from eleven habitats shows that the environment has only a minor effect on the composition of the effectomes. As a paradigmatic example, we detailed the effectome content of 37 bacterial genomes that are most likely exposed to strongest selective pressure towards translational optimization. These effectomes accommodate a broad range of protein functions like enzymes related to glycolysis/gluconeogenesis and the TCA cycle, ATP synthases, aminoacyl-tRNA synthetases, chaperones, proteases that degrade misfolded proteins, protectants against oxidative damage, as well as cold shock and outer membrane proteins.

Conclusions

We made clear that effectomes consist of specific subsets of the proteome being involved in several cellular functions. As expected, some functions are related to cell growth and affect speed and quality of protein synthesis. Additionally, the effectomes contain enzymes of central metabolic pathways and cellular functions sustaining microbial life under stress situations. These findings indicate that cell growth is an important but not the only factor modulating translational accuracy and speed by means of CUB.

Genomic basis for natural product biosynthetic diversity in the actinomycetes

The phylum Actinobacteria hosts diverse high G + C, Gram-positive bacteria that have evolved a complex chemical language of natural product chemistry to help navigate their fascinatingly varied lifestyles. To date, 71 Actinobacteria genomes have been completed and annotated, with the vast majority representing the Actinomycetales, which are the source of numerous antibiotics and other drugs from genera such as Streptomyces, Saccharopolyspora and Salinispora . These genomic analyses have illuminated the secondary metabolic proficiency of these microbes – underappreciated for years based on conventional isolation programs – and have helped set the foundation for a new natural product discovery paradigm based on genome mining. Trends in the secondary metabolomes of natural product-rich actinomycetes are highlighted in this review article, which contains 199 references.