Bacterial genome

Last updated

Bacterial genomes are generally smaller and less variant in size among species when compared with genomes of eukaryotes. Bacterial genomes can range in size anywhere from about 130 kbp [1] [2] to over 14 Mbp. [3] A study that included, but was not limited to, 478 bacterial genomes, concluded that as genome size increases, the number of genes increases at a disproportionately slower rate in eukaryotes than in non-eukaryotes. Thus, the proportion of non-coding DNA goes up with genome size more quickly in non-bacteria than in bacteria. This is consistent with the fact that most eukaryotic nuclear DNA is non-gene coding, while the majority of prokaryotic, viral, and organellar genes are coding. [4] Right now, we have genome sequences from 50 different bacterial phyla and 11 different archaeal phyla. Second-generation sequencing has yielded many draft genomes (close to 90% of bacterial genomes in GenBank are currently not complete); third-generation sequencing might eventually yield a complete genome in a few hours. The genome sequences reveal much diversity in bacteria. Analysis of over 2000 Escherichia coli genomes reveals an E. coli core genome of about 3100 gene families and a total of about 89,000 different gene families. [5] Genome sequences show that parasitic bacteria have 500–1200 genes, free-living bacteria have 1500–7500 genes, and archaea have 1500–2700 genes. [6] A striking discovery by Cole et al. described massive amounts of gene decay when comparing Leprosy bacillus to ancestral bacteria. [7] Studies have since shown that several bacteria have smaller genome sizes than their ancestors did. [8] Over the years, researchers have proposed several theories to explain the general trend of bacterial genome decay and the relatively small size of bacterial genomes. Compelling evidence indicates that the apparent degradation of bacterial genomes is owed to a deletional bias.

Contents

Methods and techniques

As of 2014, there are over 30,000 sequenced bacterial genomes publicly available and thousands of metagenome projects. Projects such as the Genomic Encyclopedia of Bacteria and Archaea (GEBA) intend to add more genomes. [5]

The single gene comparison is now being supplanted by more general methods. These methods have resulted in novel perspectives on genetic relationships that previously have only been estimated. [5]

A significant achievement in the second decade of bacterial genome sequencing was the production of metagenomic data, which covers all DNA present in a sample. Previously, there were only two metagenomic projects published. [5]

Bacterial genomes

Log-log plot of the total number of annotated proteins in genomes submitted to GenBank as a function of genome size. Based on data from NCBI genome reports. Genome size vs protein count.svg
Log-log plot of the total number of annotated proteins in genomes submitted to GenBank as a function of genome size. Based on data from NCBI genome reports.

Bacteria possess a compact genome architecture distinct from eukaryotes in two important ways: bacteria show a strong correlation between genome size and number of functional genes in a genome, and those genes are structured into operons. [9] [10] The main reason for the relative density of bacterial genomes compared to eukaryotic genomes (especially multicellular eukaryotes) is the presence of noncoding DNA in the form of intergenic regions and introns. [10] Some notable exceptions include recently formed pathogenic bacteria. This was initially described in a study by Cole et al. in which Mycobacterium leprae was discovered to have a significantly higher percentage of pseudogenes to functional genes (~40%) than its free-living ancestors. [7]

Furthermore, amongst species of bacteria, there is relatively little variation in genome size when compared with the genome sizes of other major groups of life. [6] Genome size is of little relevance when considering the number of functional genes in eukaryotic species. In bacteria, however, the strong correlation between the number of genes and the genome size makes the size of bacterial genomes an interesting topic for research and discussion. [11]

The general trends of bacterial evolution indicate that bacteria started as free-living organisms. Evolutionary paths led some bacteria to become pathogens and symbionts. The lifestyles of bacteria play an integral role in their respective genome sizes. Free-living bacteria have the largest genomes out of the three types of bacteria; however, they have fewer pseudogenes than bacteria that have recently acquired pathogenicity.

Facultative and recently evolved pathogenic bacteria exhibit a smaller genome size than free-living bacteria, yet they have more pseudogenes than any other form of bacteria.

Obligate bacterial symbionts or pathogens have the smallest genomes and the fewest pseudogenes of the three groups. [12] The relationship between life-styles of bacteria and genome size raises questions as to the mechanisms of bacterial genome evolution. Researchers have developed several theories to explain the patterns of genome size evolution amongst bacteria.

Genome comparisons

As single-gene comparisons have largely given way to genome comparisons, phylogeny of bacterial genomes have improved in accuracy. The Average Nucleotide Identity (ANI) method quantifies genetic distance between entire genomes by taking advantage of regions of about 10,000 bp. With enough data from genomes of one genus, algorithms are executed to categorize species. This has been done for the Pseudomonas avellanae species in 2013 [5] and for all sequenced bacteria and archaea since 2020. [13] Observed ANI values among sequences appear to have an "ANI gap" at 85–95%, suggesting that a genetic boundary suitable for defining a species concept is present. [14]

To extract information about bacterial genomes, core- and pan-genome sizes have been assessed for several strains of bacteria. In 2012, the number of core gene families was about 3000. However, by 2015, with an over tenfold increased in available genomes, the pan-genome has increased as well. There is roughly a positive correlation between the number of genomes added and the growth of the pan-genome. On the other hand, the core genome has remain static since 2012. Currently, the E. coli pan-genome is composed of about 90,000 gene families. About one-third of these exist only in a single genome. Many of these, however, are merely gene fragments and the result of calling errors. Still, there are probably over 60,000 unique gene families in E. coli. [5]

Theories of bacterial genome evolution

Bacteria lose a large amount of genes as they transition from free-living or facultatively parasitic life cycles to permanent host-dependent life. Towards the lower end of the scale of bacterial genome size are the mycoplasmas and related bacteria. Early molecular phylogenetic studies revealed that mycoplasmas represented an evolutionary derived state, contrary to prior hypotheses. Furthermore, it is now known that mycoplasmas are just one instance of many of genome shrinkage in obligately host-associated bacteria. Other examples are Rickettsia , Buchnera aphidicola, and Borrelia burgdorferi. [15]

Small genome size in such species is associated with certain particularities, such as rapid evolution of polypeptide sequences and low GC content in the genome. The convergent evolution of these qualities in unrelated bacteria suggests that an obligate association with a host promotes genome reduction. [15]

Given that over 80% of almost all of the fully sequenced bacterial genomes consist of intact ORFs, and that gene length is nearly constant at ~1 kb per gene, it is inferred that small genomes have few metabolic capabilities. While free-living bacteria, such as E. coli, Salmonella species, or Bacillus species, usually have 1500 to 6000 proteins encoded in their DNA, obligately pathogenic bacteria often have as few as 500 to 1000 such proteins. [15]

One candidate explanation is that reduced genomes maintain genes that are necessary for vital processes pertaining to cellular growth and replication, in addition to those genes that are required to survive in the bacteria's ecological niche. However, sequence data contradicts this hypothesis. The set of universal orthologs amongst eubacteria comprises only 15% of each genome. Thus, each lineage has taken a different evolutionary path to reduced size. Because universal cellular processes require over 80 genes, variation in genes imply that the same functions can be achieved by exploitation of nonhomologous genes. [15]

Host-dependent bacteria are able to secure many compounds required for metabolism from the host's cytoplasm or tissue. They can, in turn, discard their own biosynthetic pathways and associated genes. This removal explains many of the specific gene losses. For example, the Rickettsia species, which relies on specific energy substrate from its host, has lost many of its native energy metabolism genes. Similarly, most small genomes have lost their amino acid biosynthesizing genes, as these are found in the host instead. One exception is the Buchnera, an obligate maternally transmitted symbiont of aphids. It retains 54 genes for biosynthesis of crucial amino acids, but no longer has pathways for those amino acids that the host can synthesize. Pathways for nucleotide biosynthesis are gone from many reduced genomes. Those anabolic pathways that evolved through niche adaptation remain in particular genomes. [15]

The hypothesis that unused genes are eventually removed does not explain why many of the removed genes would indeed remain helpful in obligate pathogens. For example, many eliminated genes code for products that are involved in universal cellular processes, including replication, transcription, and translation. Even genes supporting DNA recombination and repair are deleted from every small genome. However some genes, such as those encoding the RecA protein, were found to be nearly ubiquitous, indicating that a large majority of bacterial genomes are probably capable of homologous recombination. [16] In addition, small genomes have fewer tRNAs, utilizing one for several amino acids. So, a single codon pairs with multiple codons, which likely yields less-than-optimal translation machinery. It is unknown why obligate intracellular pathogens would benefit by retaining fewer tRNAs and fewer DNA repair enzymes. [15]

Another factor to consider is the change in population that corresponds to an evolution towards an obligately pathogenic life. Such a shift in lifestyle often results in a reduction in the genetic population size of a lineage, since there is a finite number of hosts to occupy. This genetic drift may result in fixation of mutations that inactivate otherwise beneficial genes, or otherwise may decrease the efficiency of gene products. Hence, not will only useless genes be lost (as mutations disrupt them once the bacteria has settled into host dependency), but also beneficial genes may be lost if genetic drift enforces ineffective purifying selection. [15]

The number of universally maintained genes is small and inadequate for independent cellular growth and replication, so that small genome species must achieve such feats by means of varying genes. This is done partly through nonorthologous gene displacement. That is, the role of one gene is replaced by another gene that achieves the same function. Redundancy within the ancestral, larger genome is eliminated. The descendant small genome content depends on the content of chromosomal deletions that occur in the early stages of genome reduction. [15]

The very small genome of M. genitalium possesses dispensable genes. In a study in which single genes of this organism were inactivated using transposon-mediated mutagenesis, at least 129 of its 484 ORGs were not required for growth. A much smaller genome than that of the M. genitalium is therefore feasible. [15]

Doubling time

One theory predicts that bacteria have smaller genomes due to a selective pressure on genome size to ensure faster replication. The theory is based upon the logical premise that smaller bacterial genomes will take less time to replicate. Subsequently, smaller genomes will be selected preferentially due to enhanced fitness. A study done by Mira et al. indicated little to no correlation between genome size and doubling time. [17] The data indicates that selection is not a suitable explanation for the small sizes of bacterial genomes. Still, many researchers believe there is some selective pressure on bacteria to maintain small genome size.

Deletional bias

Selection is but one process involved in evolution. Two other major processes (mutation and genetic drift) can account for the genome sizes of various types of bacteria. A study done by Mira et al. examined the size of insertions and deletions in bacterial pseudogenes. Results indicated that mutational deletions tend to be larger than insertions in bacteria in the absence of gene transfer or gene duplication. [17] Insertions caused by horizontal or lateral gene transfer and gene duplication tend to involve transfer of large amounts of genetic material. Assuming a lack of these processes, genomes will tend to reduce in size in the absence of selective constraint. Evidence of a deletional bias is present in the respective genome sizes of free-living bacteria, facultative and recently derived parasites and obligate parasites and symbionts.

Free-living bacteria tend to have large population-sizes and are subject to more opportunity for gene transfer. As such, selection can effectively operate on free-living bacteria to remove deleterious sequences resulting in a relatively small number of pseudogenes. Continually, further selective pressure is evident as free-living bacteria must produce all gene-products independent of a host. Given that there is sufficient opportunity for gene transfer to occur and there are selective pressures against even slightly deleterious deletions, it is intuitive that free-living bacteria should have the largest bacterial genomes of all bacteria types.

Recently-formed parasites undergo severe bottlenecks and can rely on host environments to provide gene products. As such, in recently-formed and facultative parasites, there is an accumulation of pseudogenes and transposable elements due to a lack of selective pressure against deletions. The population bottlenecks reduce gene transfer and as such, deletional bias ensures the reduction of genome size in parasitic bacteria.

Obligatory parasites and symbionts have the smallest genome sizes due to prolonged effects of deletional bias. Parasites which have evolved to occupy specific niches are not exposed to much selective pressure. As such, genetic drift dominates the evolution of niche-specific bacteria. Extended exposure to deletional bias ensures the removal of most superfluous sequences. Symbionts occur in drastically lower numbers and undergo the most severe bottlenecks of any bacterial type. There is almost no opportunity for gene transfer for endosymbiotic bacteria, and thus genome compaction can be extreme. One of the smallest bacterial genomes ever to be sequenced is that of the endosymbiont Carsonella rudii . [18] At 160 kbp, the genome of Carsonella is one of the most streamlined examples of a genome examined to date.

Genomic reduction

Molecular phylogenetics has revealed that every clade of bacteria with genome sizes under 2 Mb was derived from ancestors with much larger genomes, thus refuting the hypothesis that bacteria evolved by the successive doubling of small-genomed ancestors. [19] Recent studies performed by Nilsson et al. examined the rates of bacterial genome reduction of obligate bacteria. Bacteria were cultured introducing frequent bottlenecks and growing cells in serial passage to reduce gene transfer so as to mimic conditions of endosymbiotic bacteria. The data predicted that bacteria exhibiting a one-day generation time lose as many as 1,000 kbp in as few as 50,000 years (a relatively short evolutionary time period). Furthermore, after deleting genes essential to the methyl-directed DNA mismatch repair (MMR) system, it was shown that bacterial genome size reduction increased in rate by as much as 50 times. [20] These results indicate that genome size reduction can occur relatively rapidly, and loss of certain genes can speed up the process of bacterial genome compaction.

This is not to suggest that all bacterial genomes are reducing in size and complexity. While many types of bacteria have reduced in genome size from an ancestral state, there are still a huge number of bacteria that maintained or increased genome size over ancestral states. [8] Free-living bacteria experience huge population sizes, fast generation times and a relatively high potential for gene transfer. While deletional bias tends to remove unnecessary sequences, selection can operate significantly amongst free-living bacteria resulting in evolution of new genes and processes.

Horizontal gene transfer

Unlike eukaryotes, which evolve mainly through the modification of existing genetic information, bacteria have acquired a large percentage of their genetic diversity by the horizontal transfer of genes. This creates quite dynamic genomes, in which DNA can be introduced into and removed from the chromosome. [21]

Bacteria have more variation in their metabolic properties, cellular structures, and lifestyles than can be accounted for by point mutations alone. For example, none of the phenotypic traits that distinguish E. coli from Salmonella enterica can be attributed to point mutation. On the contrary, evidence suggests that horizontal gene transfer has bolstered the diversification and speciation of many bacteria. [21]

Horizontal gene transfer is often detected via DNA sequence information. DNA segments obtained by this mechanism often reveal a narrow phylogenetic distribution between related species. Furthermore, these regions sometimes display an unexpected level of similarity to genes from taxa that are assumed to be quite divergent. [21]

Although gene comparisons and phylogenetic studies are helpful in investigating horizontal gene transfer, the DNA sequences of genes are even more revelatory of their origin and ancestry within a genome. Bacterial species differ widely in overall GC content, although the genes in any one species' genome are roughly identical with respect to base composition, patterns of codon usage, and frequencies of di- and trinucleotides. As a result, sequences that are newly acquired through lateral transfer can be identified via their characteristics, which remains that of the donor. For example, many of the S. enterica genes that are not present in E. coli have base compositions that differ from the overall 52% GC content of the entire chromosome. Within this species, some lineages have more than a megabase of DNA that is not present in other lineages. The base compositions of these lineage-specific sequences imply that at least half of these sequences were captured through lateral transfer. Furthermore, the regions adjacent to horizontally obtained genes often have remnants of translocatable elements, transfer origins of plasmids, or known attachment sites of phage integrases. [21]

In some species, a large proportion of laterally transferred genes originate from plasmid-, phage-, or transposon-related sequences. [21]

Although sequence-based methods reveal the prevalence of horizontal gene transfer in bacteria, the results tend to be underestimates of the magnitude of this mechanism, since sequences obtained from donors whose sequence characteristics are similar to those of the recipient will avoid detection. [21]

Comparisons of completely sequenced genomes confirm that bacterial chromosomes are amalgams of ancestral and laterally acquired sequences. The hyperthermophilic Eubacteria Aquifex aeolicus and Thermotoga maritima each has many genes that are similar in protein sequence to homologues in thermophilic Archaea. 24% of Thermotoga's 1,877 ORFs and 16% of Aquifex's 1,512 ORFs show high matches to an Archaeal protein, while mesophiles such as E. coli and B. subtilis have far lesser proportions of genes that are most like Archaeal homologues. [21]

Mechanisms of lateral transfer

The genesis of new abilities due to horizontal gene transfer has three requirements. First, there must exist a possible route for the donor DNA to be accepted by the recipient cell. Additionally, the obtained sequence must be integrated with the rest of the genome. Finally, these integrated genes must benefit the recipient bacterial organism. The first two steps can be achieved via three mechanisms: transformation, transduction and conjugation. [21]

Transformation involves the uptake of named DNA from the environment. Through transformation, DNA can be transmitted between distantly related organisms. Some bacterial species, such as Haemophilus influenzae and Neisseria gonorrhoeae , are continuously competent to accept DNA. Other species, such as Bacillus subtilis and Streptococcus pneumoniae , become competent when they enter a particular phase in their lifecycle.

Transformation in N. gonorrhoeae and H. influenzae is effective only if particular recognition sequences are found in the recipient genomes (5'-GCCGTCTGAA-3' and 5'-AAGTGCGGT-3'. respectively). Although the existence of certain uptake sequences improve transformation capability between related species, many of the inherently competent bacterial species, such as B. subtilis and S. pneumoniae, do not display sequence preference.

New genes may be introduced into bacteria by a bacteriophage that has replicated within a donor through generalized transduction or specialized transduction. The amount of DNA that can be transmitted in one event is constrained by the size of the phage capsid (although the upper limit is about 100 kilobases). While phages are numerous in the environment, the range of microorganisms that can be transduced depends on receptor recognition by the bacteriophage. Transduction does not require both donor and recipient cells to be present simultaneously in time nor space. Phage-encoded proteins both mediate the transfer of DNA into the recipient cytoplasm and assist integration of DNA into the chromosome. [21]

Conjugation involves physical contact between donor and recipient cells and is able to mediate transfers of genes between domains, such as between bacteria and yeast. DNA is transmitted from donor to recipient either by self-transmissible or mobilizable plasmid. Conjugation may mediate the transfer of chromosomal sequences by plasmids that integrate into the chromosome.

Despite the multitude of mechanisms mediating gene transfer among bacteria, the process's success is not guaranteed unless the received sequence is stably maintained in the recipient. DNA integration can be sustained through one of many processes. One is persistence as an episome, another is homologous recombination, and still another is illegitimate incorporation through lucky double-strand break repair. [21]

Natural transformation

Natural transformation is a DNA transfer process that depends on the expression of numerous bacterial genes. [22] In order for a bacterium to bind, take up and recombine exogenous DNA into its chromosome, it must enter a special physiological state referred to as “competence”. Competence development in the bacterium Bacillus subtilis requires expression of about 40 genes. [23] In general, the DNA integrated into the host chromosome is (with rare exceptions) derived from another bacterium of the same species, and is therefore homologous to the resident chromosome. In B. subtilis the length of the transferred DNA is more than 1 million bases, is likely double stranded DNA, and is often more than a third of the total chromosome length of 4215 kb. [24] Approximately 7-9% of the recipient cells take up an entire chromosome. [25]

The capacity for natural transformation appears to be common among prokaryotes, and thus far 67 prokaryotic species (in seven different phyla) are known to undergo this process. [26] Competence for transformation is typically induced by high cell density and/or nutritional limitation, conditions associated with the stationary phase of bacterial growth. Competence is also specifically induced by conditions that damage DNA. For example, transformation is induced in Streptococcus pneumoniae by the DNA damaging agents mitomycin C (a DNA cross-linking agent) and fluoroquinolone (a topoisomerase inhibitor that causes double-strand breaks). [27] In Bacillus subtilis , transformation is stimulated by exposure to UV light, a DNA damaging agent. [28] In Helicobacter pylori , ciprofloxacin, an agent that interacts with DNA gyrase and causes double-strand breaks, induces expression of competence genes, thus increasing the frequency of transformation [29] Using Legionella pneumophila , Charpentier et al. [30] examined 64 toxic molecules to find out which of these induce competence. Of these toxic compounds, only six, all DNA damaging agents, caused strong induction.

Bacteria that are growing logarithmically differ from stationary phase bacteria with regard to the number of genome copies present in the cell, and this has implications for the ability to carry out an important DNA repair process. During logarithmic growth, two or more copies of any particular region of the chromosome are ordinarily present in a bacterial cell, as cell division is not precisely matched with chromosome replication. Homologous recombinational repair is an important DNA repair process that is particularly effective for repairing double-strand damages, such as double-strand breaks. This DNA repair process depends on a second homologous chromosome in addition to the damaged chromosome. During logarithmic growth, a DNA damage in one chromosome may be removed by homologous recombinational repair using sequence information from the other homologous chromosome. However, when cells approach stationary phase they typically have just one copy of the chromosome, and homologous recombinational repair then requires input of an homologous template from outside the cell by transformation. [31] To determine whether the adaptive function of transformation is repair of DNA damages, a series of experiments were performed using B. subtilis irradiated by UV light as the damaging agent (reviewed by Michod et al. [32] and Bernstein et al. [31] ) These experiments produced results indicating that transforming DNA acts to repair potentially lethal DNA damages caused by UV light in the recipient DNA. The particular process likely responsible for repair was homologous recombinational repair. Thus transformation in bacteria can be regarded as a primitive sexual process, in the sense that it involves interaction of homologous DNA from two individuals to form recombinant DNA that is then passed on to succeeding generations. Bacterial transformation in prokaryotes may have been the ancestral process that evolved into meiotic sexual reproduction in eukaryotes (see Evolution of sexual reproduction; Meiosis.)

Traits introduced through lateral gene transfer

Antimicrobial resistance genes grant an organism the ability to grow its ecological niche, since it can now survive in the presence of previously lethal compounds. As the benefit to a bacterium earned from receiving such genes are time- and space-independent, those sequences that are highly mobile are selected for. Plasmids are quite mobilizable between taxa and are the most frequent way by which bacteria acquire antibiotic resistance genes.

Adoption of a pathogenic lifestyle often yields a fundamental shift in an organism's ecological niche. The erratic phylogenetic distribution of pathogenic organisms implies that bacterial virulence is a consequence of the presence, or obtainment of, genes that are missing in avirulent forms. Evidence of this includes the discovery of large 'virulence' plasmids in pathogenic Shigella and Yersinia, as well as the ability to bestow pathogenic properties onto E. coli via experimental exposure to genes from other species. [21]

Computer-made form

In April 2019, scientists at ETH Zurich reported the creation of the world's first bacterial genome, named Caulobacter ethensis-2.0 , made entirely by a computer, although a related viable form of C. ethensis-2.0 does not yet exist. [33] [34]

See also

Related Research Articles

<span class="mw-page-title-main">Genome</span> All genetic material of an organism

In the fields of molecular biology and genetics, a genome is all the genetic information of an organism. It consists of nucleotide sequences of DNA. The nuclear genome includes protein-coding genes and non-coding genes, other functional regions of the genome such as regulatory sequences, and often a substantial fraction of junk DNA with no evident function. Almost all eukaryotes have mitochondria and a small mitochondrial genome. Algae and plants also contain chloroplasts with a chloroplast genome.

<span class="mw-page-title-main">Chromosomal crossover</span> Cellular process

Chromosomal crossover, or crossing over, is the exchange of genetic material during sexual reproduction between two homologous chromosomes' non-sister chromatids that results in recombinant chromosomes. It is one of the final phases of genetic recombination, which occurs in the pachytene stage of prophase I of meiosis during a process called synapsis. Synapsis begins before the synaptonemal complex develops and is not completed until near the end of prophase I. Crossover usually occurs when matching regions on matching chromosomes break and then reconnect to the other chromosome.

Gene knockouts are a widely used genetic engineering technique that involves the targeted removal or inactivation of a specific gene within an organism's genome. This can be done through a variety of methods, including homologous recombination, CRISPR-Cas9, and TALENs.

<span class="mw-page-title-main">Genetic recombination</span> Production of offspring with combinations of traits that differ from those found in either parent

Genetic recombination is the exchange of genetic material between different organisms which leads to production of offspring with combinations of traits that differ from those found in either parent. In eukaryotes, genetic recombination during meiosis can lead to a novel set of genetic information that can be further passed on from parents to offspring. Most recombination occurs naturally and can be classified into two types: (1) interchromosomal recombination, occurring through independent assortment of alleles whose loci are on different but homologous chromosomes ; & (2) intrachromosomal recombination, occurring through crossing over.

<span class="mw-page-title-main">Horizontal gene transfer</span> Transfer of genes from unrelated organisms

Horizontal gene transfer (HGT) or lateral gene transfer (LGT) is the movement of genetic material between organisms other than by the ("vertical") transmission of DNA from parent to offspring (reproduction). HGT is an important factor in the evolution of many organisms. HGT is influencing scientific understanding of higher-order evolution while more significantly shifting perspectives on bacterial evolution.

<span class="mw-page-title-main">Molecular genetics</span> Scientific study of genes at the molecular level

Molecular genetics is a branch of biology that addresses how differences in the structures or expression of DNA molecules manifests as variation among organisms. Molecular genetics often applies an "investigative approach" to determine the structure and/or function of genes in an organism's genome using genetic screens. 

<span class="mw-page-title-main">Genetic transformation</span> Genetic alteration of a cell by uptake of genetic material from the environment

In molecular biology and genetics, transformation is the genetic alteration of a cell resulting from the direct uptake and incorporation of exogenous genetic material from its surroundings through the cell membrane(s). For transformation to take place, the recipient bacterium must be in a state of competence, which might occur in nature as a time-limited response to environmental conditions such as starvation and cell density, and may also be induced in a laboratory.

A mating system is a way in which a group is structured in relation to sexual behaviour. The precise meaning depends upon the context. With respect to animals, the term describes which males and females mate under which circumstances. Recognised systems include monogamy, polygamy, and promiscuity, all of which lead to different mate choice outcomes and thus these systems affect how sexual selection works in the species which practice them. In plants, the term refers to the degree and circumstances of outcrossing. In human sociobiology, the terms have been extended to encompass the formation of relationships such as marriage.

<i>Bacillus subtilis</i> Catalase-positive bacterium

Bacillus subtilis, known also as the hay bacillus or grass bacillus, is a gram-positive, catalase-positive bacterium, found in soil and the gastrointestinal tract of ruminants, humans and marine sponges. As a member of the genus Bacillus, B. subtilis is rod-shaped, and can form a tough, protective endospore, allowing it to tolerate extreme environmental conditions. B. subtilis has historically been classified as an obligate aerobe, though evidence exists that it is a facultative anaerobe. B. subtilis is considered the best studied Gram-positive bacterium and a model organism to study bacterial chromosome replication and cell differentiation. It is one of the bacterial champions in secreted enzyme production and used on an industrial scale by biotechnology companies.

<i>Mycobacterium smegmatis</i> Species of bacterium

Mycobacterium smegmatis is an acid-fast bacterial species in the phylum Actinomycetota and the genus Mycobacterium. It is 3.0 to 5.0 μm long with a bacillus shape and can be stained by Ziehl–Neelsen method and the auramine-rhodamine fluorescent method. It was first reported in November 1884, who found a bacillus with the staining appearance of tubercle bacilli in syphilitic chancres. Subsequent to this, Alvarez and Tavel found organisms similar to that described by Lustgarten also in normal genital secretions (smegma). This organism was later named M. smegmatis.

<span class="mw-page-title-main">RecA</span> DNA repair protein

RecA is a 38 kilodalton protein essential for the repair and maintenance of DNA in bacteria. Structural and functional homologs to RecA have been found in all kingdoms of life. RecA serves as an archetype for this class of homologous DNA repair proteins. The homologous protein is called RAD51 in eukaryotes and RadA in archaea.

<span class="mw-page-title-main">Genome size</span> Amount of DNA contained in a genome

Genome size is the total amount of DNA contained within one copy of a single complete genome. It is typically measured in terms of mass in picograms or less frequently in daltons, or as the total number of nucleotide base pairs, usually in megabases. One picogram is equal to 978 megabases. In diploid organisms, genome size is often used interchangeably with the term C-value.

<span class="mw-page-title-main">Homologous recombination</span> Genetic recombination between identical or highly similar strands of genetic material

Homologous recombination is a type of genetic recombination in which genetic information is exchanged between two similar or identical molecules of double-stranded or single-stranded nucleic acids.

<span class="mw-page-title-main">Natural competence</span> Ability of cells to take up extracellular DNA

In microbiology, genetics, cell biology, and molecular biology, competence is the ability of a cell to alter its genetics by taking up extracellular DNA from its environment through a process called transformation. Competence can be differentiated between natural competence and induced or artificial competence. Natural competence is a genetically specified ability of bacteria that occurs under natural conditions as well as in the laboratory. Artificial competence arises when cells in laboratory cultures are treated to make them transiently permeable to DNA. Competence allows for rapid adaptation and DNA repair of the cell.

Microbial genetics is a subject area within microbiology and genetic engineering. Microbial genetics studies microorganisms for different purposes. The microorganisms that are observed are bacteria and archaea. Some fungi and protozoa are also subjects used to study in this field. The studies of microorganisms involve studies of genotype and expression system. Genotypes are the inherited compositions of an organism. Genetic Engineering is a field of work and study within microbial genetics. The usage of recombinant DNA technology is a process of this work. The process involves creating recombinant DNA molecules through manipulating a DNA sequence. That DNA created is then in contact with a host organism. Cloning is also an example of genetic engineering.

<span class="mw-page-title-main">Prokaryote</span> Unicellular organism lacking a membrane-bound nucleus

A prokaryote is a single-cell organism whose cell lacks a nucleus and other membrane-bound organelles. The word prokaryote comes from the Ancient Greek πρό (pró), meaning 'before', and κάρυον (káruon), meaning 'nut' or 'kernel'. In the two-empire system arising from the work of Édouard Chatton, prokaryotes were classified within the empire Prokaryota. However in the three-domain system, based upon molecular analysis, prokaryotes are divided into two domains: Bacteria and Archaea. Organisms with nuclei are placed in a third domain: Eukaryota.

The origin and function of meiosis are currently not well understood scientifically, and would provide fundamental insight into the evolution of sexual reproduction in eukaryotes. There is no current consensus among biologists on the questions of how sex in eukaryotes arose in evolution, what basic function sexual reproduction serves, and why it is maintained, given the basic two-fold cost of sex. It is clear that it evolved over 1.2 billion years ago, and that almost all species which are descendants of the original sexually reproducing species are still sexual reproducers, including plants, fungi, and animals.

<span class="mw-page-title-main">Genome evolution</span> Process by which a genome changes in structure or size over time

Genome evolution is the process by which a genome changes in structure (sequence) or size over time. The study of genome evolution involves multiple fields such as structural analysis of the genome, the study of genomic parasites, gene and ancient genome duplications, polyploidy, and comparative genomics. Genome evolution is a constantly changing and evolving field due to the steadily growing number of sequenced genomes, both prokaryotic and eukaryotic, available to the scientific community and the public at large.

Bacterial recombination is a type of genetic recombination in bacteria characterized by DNA transfer from one organism called donor to another organism as recipient. This process occurs in three main ways:

Chromids, formerly secondary chromosomes, are a class of bacterial replicons. These replicons are called "chromids" because they have characteristic features of both chromosomes and plasmids. Early on, it was thought that all core genes could be found on the main chromosome of the bacteria. However, in 1989 a replicon was discovered containing core genes outside of the main chromosome. These core genes make the chromid indispensable to the organism. Chromids are large replicons, although not as large as the main chromosome. However, chromids are almost always larger than a plasmid. Chromids also share many genomic signatures of the chromosome, including their GC-content and their codon usage bias. On the other hand, chromids do not share the replication systems of chromosomes. Instead, they use the replication system of plasmids. Chromids are present in 10% of bacteria species sequenced by 2009.

References

  1. McCutcheon, J. P.; Von Dohlen, C. D. (2011). "An Interdependent Metabolic Patchwork in the Nested Symbiosis of Mealybugs". Current Biology. 21 (16): 1366–1372. Bibcode:2011CBio...21.1366M. doi:10.1016/j.cub.2011.06.051. PMC   3169327 . PMID   21835622.
  2. Van Leuven, JT; Meister, RC; Simon, C; McCutcheon, JP (11 September 2014). "Sympatric speciation in a bacterial endosymbiont results in two genomes with the functionality of one". Cell. 158 (6): 1270–80. doi: 10.1016/j.cell.2014.07.047 . PMID   25175626.
  3. Han, K; Li, ZF; Peng, R; Zhu, LP; Zhou, T; Wang, LG; Li, SG; Zhang, XB; Hu, W; Wu, ZH; Qin, N; Li, YZ (2013). "Extraordinary expansion of a Sorangium cellulosum genome from an alkaline milieu". Scientific Reports. 3: 2101. Bibcode:2013NatSR...3.2101H. doi:10.1038/srep02101. PMC   3696898 . PMID   23812535.
  4. Hou, Yubo; Lin, Senjie (2009). "Distinct Gene Number-Genome Size Relationships for Eukaryotes and Non-Eukaryotes: Gene Content Estimation for Dinoflagellate Genomes". PLOS ONE. 4 (9): e6978. Bibcode:2009PLoSO...4.6978H. doi: 10.1371/journal.pone.0006978 . PMC   2737104 . PMID   19750009.
  5. 1 2 3 4 5 6 Land, Miriam; Hauser, Loren; Jun, Se-Ran; Nookaew, Intawat; Leuze, Michael R.; Ahn, Tae-Hyuk; Karpinets, Tatiana; Lund, Ole; Kora, Guruprased; Wassenaar, Trudy; Poudel, Suresh; Ussery, David W. (2015). "Insights from 20 years of bacterial genome sequencing". Functional & Integrative Genomics. 15 (2): 141–161. doi:10.1007/s10142-015-0433-4. PMC   4361730 . PMID   25722247. CC-BY icon.svg This article contains quotations from this source, which is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
  6. 1 2 Gregory, T. R. (2005). "Synergy between sequence and size in Large-scale genomics". Nature Reviews Genetics. 6 (9): 699–708. doi:10.1038/nrg1674. PMID   16151375. S2CID   24237594.
  7. 1 2 Cole, S. T.; Eiglmeier, K.; Parkhill, J.; James, K. D.; Thomson, N. R.; Wheeler, P. R.; Honoré, N.; Garnier, T.; Churcher, C.; Harris, D.; Mungall, K.; Basham, D.; Brown, D.; Chillingworth, T.; Connor, R.; Davies, R. M.; Devlin, K.; Duthoy, S.; Feltwell, T.; Fraser, A.; Hamlin, N.; Holroyd, S.; Hornsby, T.; Jagels, K.; Lacroix, C.; MacLean, J.; Moule, S.; Murphy, L.; Oliver, K.; Quail, M. A. (2001). "Massive gene decay in the leprosy bacillus". Nature. 409 (6823): 1007–1011. Bibcode:2001Natur.409.1007C. doi:10.1038/35059006. PMID   11234002. S2CID   4307207.
  8. 1 2 Ochman, H. (2005). "Genomes on the shrink". Proceedings of the National Academy of Sciences. 102 (34): 11959–11960. Bibcode:2005PNAS..10211959O. doi: 10.1073/pnas.0505863102 . PMC   1189353 . PMID   16105941.
  9. Gregory, T. Ryan (2005). The evolution of the genome. Burlington, MA: Elsevier Academic. ISBN   0123014638.
  10. 1 2 Koonin, E. V. (2009). "Evolution of genome architecture". The International Journal of Biochemistry & Cell Biology. 41 (2): 298–306. doi:10.1016/j.biocel.2008.09.015. PMC   3272702 . PMID   18929678.
  11. Kuo, C. -H.; Moran, N. A.; Ochman, H. (2009). "The consequences of genetic drift for bacterial genome complexity". Genome Research. 19 (8): 1450–1454. doi:10.1101/gr.091785.109. PMC   2720180 . PMID   19502381.
  12. Ochman, H.; Davalos, L. M. (2006). "The Nature and Dynamics of Bacterial Genomes". Science. 311 (5768): 1730–1733. Bibcode:2006Sci...311.1730O. doi:10.1126/science.1119966. PMID   16556833. S2CID   26707775.
  13. Parks, DH; Chuvochina, M; Chaumeil, PA; Rinke, C; Mussig, AJ; Hugenholtz, P (September 2020). "A complete domain-to-species taxonomy for Bacteria and Archaea". Nature Biotechnology. 38 (9): 1079–1086. bioRxiv   10.1101/771964 . doi:10.1038/s41587-020-0501-8. PMID   32341564. S2CID   216560589.
  14. Rodriguez-R, Luis M.; Jain, Chirag; Conrad, Roth E.; Aluru, Srinivas; Konstantinidis, Konstantinos T. (7 July 2021). "Reply to: "Re-evaluating the evidence for a universal genetic boundary among microbial species"". Nature Communications. 12 (1): 4060. Bibcode:2021NatCo..12.4060R. doi: 10.1038/s41467-021-24129-1 . PMC   8263725 . PMID   34234115.
  15. 1 2 3 4 5 6 7 8 9 Moran, Nancy A. (2002). "Microbial Minimalism". Cell. 108 (5): 583–586. doi: 10.1016/S0092-8674(02)00665-7 . PMID   11893328.
  16. Rocha EP, Cornet E, Michel B (August 2005). "Comparative and evolutionary analysis of the bacterial homologous recombination systems". PLOS Genet. 1 (2): e15. doi: 10.1371/journal.pgen.0010015 . PMC   1193525 . PMID   16132081.
  17. 1 2 Mira, A.; Ochman, H.; Moran, N. A. (2001). "Deletional bias and the evolution of bacterial genomes". Trends in Genetics. 17 (10): 589–596. doi:10.1016/S0168-9525(01)02447-7. PMID   11585665.
  18. Nakabachi, A.; Yamashita, A.; Toh, H.; Ishikawa, H.; Dunbar, H. E.; Moran, N. A.; Hattori, M. (2006). "The 160-Kilobase Genome of the Bacterial Endosymbiont Carsonella". Science. 314 (5797): 267. doi:10.1126/science.1134196. PMID   17038615. S2CID   44570539.
  19. Ochman, H. (2005). "Genomes on the shrink". Proceedings of the National Academy of Sciences. 102 (34): 11959–11960. Bibcode:2005PNAS..10211959O. doi: 10.1073/pnas.0505863102 . PMC   1189353 . PMID   16105941.
  20. Nilsson, A. I.; Koskiniemi, S.; Eriksson, S.; Kugelberg, E.; Hinton, J. C.; Andersson, D. I. (2005). "Bacterial genome size reduction by experimental evolution". Proceedings of the National Academy of Sciences. 102 (34): 12112–12116. Bibcode:2005PNAS..10212112N. doi: 10.1073/pnas.0503654102 . PMC   1189319 . PMID   16099836.
  21. 1 2 3 4 5 6 7 8 9 10 11 Ochman, Howard; Lawrence, Jeffrey G.; Groisman, Eduardo A. (2000). "Lateral gene transfer and the nature of bacterial innovation". Nature. 405 (6784): 299–304. Bibcode:2000Natur.405..299O. doi:10.1038/35012500. PMID   10830951. S2CID   85739173.
  22. Chen I, Dubnau D (March 2004). "DNA uptake during bacterial transformation". Nature Reviews. Microbiology. 2 (3): 241–9. doi:10.1038/nrmicro844. PMID   15083159. S2CID   205499369.
  23. Solomon JM, Grossman AD (April 1996). "Who's competent and when: regulation of natural genetic competence in bacteria". Trends in Genetics. 12 (4): 150–5. doi:10.1016/0168-9525(96)10014-7. PMID   8901420.
  24. Saito Y, Taguchi H, Akamatsu T (April 2006). "DNA taken into Bacillus subtilis competent cells by lysed-protoplast transformation is not ssDNA but dsDNA". Journal of Bioscience and Bioengineering. 101 (4): 334–9. doi:10.1263/jbb.101.334. PMID   16716942.
  25. Akamatsu T, Taguchi H (April 2001). "Incorporation of the whole chromosomal DNA in protoplast lysates into competent cells of Bacillus subtilis". Bioscience, Biotechnology, and Biochemistry. 65 (4): 823–9. doi: 10.1271/bbb.65.823 . PMID   11388459. S2CID   30118947.
  26. Johnsborg O, Eldholm V, Håvarstein LS (December 2007). "Natural genetic transformation: prevalence, mechanisms and function". Res Microbiol. 158 (10): 767–78. doi:10.1016/j.resmic.2007.09.004. PMID   17997281.
  27. Claverys JP, Prudhomme M, Martin B (2006). "Induction of competence regulons as a general response to stress in gram-positive bacteria". Annual Review of Microbiology. 60: 451–75. doi:10.1146/annurev.micro.60.080805.142139. PMID   16771651.
  28. Michod RE, Wojciechowski MF, Hoelzer MA (January 1988). "DNA repair and the evolution of transformation in the bacterium Bacillus subtilis". Genetics. 118 (1): 31–9. doi:10.1093/genetics/118.1.31. PMC   1203263 . PMID   8608929.
  29. Dorer MS, Fero J, Salama NR (July 2010). Blanke SR (ed.). "DNA damage triggers genetic exchange in Helicobacter pylori". PLOS Pathogens. 6 (7): e1001026. doi: 10.1371/journal.ppat.1001026 . PMC   2912397 . PMID   20686662.
  30. Charpentier X, Kay E, Schneider D, Shuman HA (March 2011). "Antibiotics and UV radiation induce competence for natural transformation in Legionella pneumophila". Journal of Bacteriology. 193 (5): 1114–21. doi:10.1128/JB.01146-10. PMC   3067580 . PMID   21169481.
  31. 1 2 Bernstein H, Bernstein C, Michod RE (2012). "Chapter 1: DNA repair as the primary adaptive function of sex in bacteria and eukaryotes". In Kimura S, Shimizu S (eds.). DNA Repair: New Research. Nova Sci. Publ., Hauppauge, N.Y. pp. 1–49. ISBN   978-1-62100-808-8.
  32. Michod RE, Bernstein H, Nedelcu AM (May 2008). "Adaptive value of sex in microbial pathogens" (PDF). Infection, Genetics and Evolution. 8 (3): 267–85. Bibcode:2008InfGE...8..267M. doi:10.1016/j.meegid.2008.01.002. PMID   18295550.
  33. ETH Zurich (1 April 2019). "First bacterial genome created entirely with a computer". EurekAlert! . Retrieved 2 April 2019.
  34. Venetz, Jonathan E.; et al. (1 April 2019). "Chemical synthesis rewriting of a bacterial genome to achieve design flexibility and biological functionality". Proceedings of the National Academy of Sciences of the United States of America . 116 (16): 8070–8079. Bibcode:2019PNAS..116.8070V. doi: 10.1073/pnas.1818259116 . PMC   6475421 . PMID   30936302.