Biological evolution: Lessons to be learned from microbial population biology and genetics

Molecular Phylogenies and Evolution ofcrtGenes in Algae

The carotenoids constitute the most widespread class of pigments in nature. Most previous work has concentrated on the identification and characterization of their chemical physical properties and bioavailability. In recent years, significant amounts of research have been conducted in an attempt to analyze the genes and the molecular regulation of the genes involved in the biosynthesis of carotenoids. However, it is important not to lose sight of the early evolution of carotenoid biosynthesis. One of the major obstacles in understanding the evolution of the respective enzymes and their patterns of selection is a lack of a well-supported phylogenic analysis. In the present research, a major long-term objective was to provide a clearer picture of the evolutionary history of genes, together with an evaluation of the patterns of selection in algae. These phylogenies will be important in studies characterizing the evolution of algae. The gene sequences of the enzymes involved in the major steps of the carotenoid biosynthetic pathway in algae (cyanobacteria, rhofophyta, chlorophyta) have been analyzed. Phylogenetic relationships among protein-coding DNA sequences were reconstructed by neighbor-joining (NJ) analysis for the respective carotenoid biosynthetic pathway genes (crt) in algae. The analysis also contains an estimation of the rate of nonsynonymous nucleotide substitutions per nonsynonymous site (d(N)), synonymous nucleotide substitution per synonymous site (d(S)), and the ratio of nonsynonmous (d(N)/d(S)) for the test of selection patterns. The phylogenetic trees show that the taxa of some genera have a closer evolutionary relationship with other genera in some gene sequences, which suggests a common ancient origin and that lateral gene transfer has occurred among unrelated genera. The d(N) values of crt genes in the early pathway are relatively low, while those of the following steps are slightly higher, while the d(N) values of crt genes in chlorophyta are higher than those in cyanobacteria. Most of the d(N)/d(S) values exceed 1. The phylogenetic analysis revealed that lateral gene transfer may have taken place across algal genomes and the d(N) values suggest that most of the early crt genes are well conserved compared to the later crt genes. Furthermore, d(N) values also revealed that the crt genes of chlorophyta are more evolutionary than cyanobacteria. The amino acids' changes are mostly adaptive evolution under the influence of positive diversity selection.

Integrated farming: why organic farmers should use transgenic crops

The concept of organic farming is summarised and compared as an example to farming with biotechnology-derived crops. If done within an ecological concept, both methods can be seen as environmentally acceptable. Organic farming does not offer consistent arguments for the rejection of transgenic crops. Some arguments (from genomics to biodiversity) are discussed in order to demonstrate that the contrast between both farming systems is rated too high and that it is possible to overcome the divide. In this way the ground is prepared for a proposal on how to merge those otherwise incompatible agricultural management systems, a proposal that also will have to build on a new concept of sustainability. It will be dealt with in the second part of the article in the next issue of New Biotechnology.

Development of metagenomic DNA shuffling for the construction of a xenobiotic gene

We describe a metagenomic DNA shuffling process by combining protein engineering process mutation generator and the high potential diversity of metagenomic DNA derived from the environment. Numerous previous shuffling processes attempted to recombine more or less related parental sequences. At the same time, metagenomic approaches unveiled a huge diversity of DNA sequences and genomes, which have not yet been identified to date. In this study, we attempted to combine these two approaches in order to regenerate a novel gene. Here, we present the possibility that DNA fragments from an entire microbial community (metagenome) might be available for the creation of novel genes capable of degrading pollutants. Metagenomic DNA extracted from non-polluted soil was shuffled in vitro to recreate the linA gene responsible for the first steps of lindane degradation. In this work, 74% of the ORF came from separate subsets of the metagenomic pool from a lindane-free and linA-free soil. Our results demonstrate that microbial community genetic diversity can serve as a source for novel gene construction during in vitro manipulation. This in vitro gene construction might also simulate the mosaic nature of novel genes. This demonstration might lead to other attempts to mimic bacterial adaptation and to construct degradative genes for novel compounds not yet released into the environment.

Genetic analysis and attribution of microbial forensics evidence

Because of the availability of pathogenic microorganisms and the relatively low cost of preparing and disseminating bioweapons, there is a continuing threat of biocrime and bioterrorism. Thus, enhanced capabilities are needed that enable the full and robust forensic exploitation and interpretation of microbial evidence from acts of bioterrorism or biocrimes. To respond to the need, greater resources and efforts are being applied to the burgeoning field of microbial forensics. Microbial forensics focuses on the characterization, analysis and interpretation of evidence for attributional purposes from a bioterrorism act, biocrime, hoax or inadvertent agent release. To enhance attribution capabilities, a major component of microbial forensics is the analysis of nucleic acids to associate or eliminate putative samples. The degree that attribution can be addressed depends on the context of the case, the available knowledge of the genetics, phylogeny, and ecology of the target microorganism, and technologies applied. The types of genetic markers and features that can impact statistical inferences of microbial forensic evidence include: single nucleotide polymorphisms, repetitive sequences, insertions and deletions, mobile elements, pathogenicity islands, virulence and resistance genes, house keeping genes, structural genes, whole genome sequences, asexual and sexual reproduction, horizontal gene transfer, conjugation, transduction, lysogeny, gene conversion, recombination, gene duplication, rearrangements, and mutational hotspots. Nucleic acid based typing technologies include: PCR, real-time PCR, MLST, MLVA, whole genome sequencing, and microarrays.