Abstract
A collection of chapters assembled in this volume provides an illustration of remarkable technological progress in genome-scale essentiality analysis in a variety of microbial species. In accord with other genomic techniques, one may anticipate that the volume of essentiality data will continue to grow at an accelerated pace as the technology becomes more robust and affordable. Despite substantial biological constraints associated with expansion to every new organism, the growing spectrum of techniques (illustrated in Part I of this book) has already allowed researchers to overcome the encountered problems for many diverse microbes. Moreover, the respective methods, once established in a given species, may be seamlessly expanded toward acquisition of massive data in a variety of experimental conditions. The rapid accumulation of genome-scale essentiality data, even if not matching the volume of sequencing or expression data, would soon create similar bioinformatics challenges. Indeed, such challenges are already apparent despite a relatively modest volume of currently available data.
Keywords
- Gene Essentiality
- Flavin Adenine Dinucleotide
- Synthetic Lethality
- Essentiality Data
- Metabolic Reconstruction
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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- 1.
1
Although only a minor fraction of the obtained data has been publicly disclosed, we foresee that most of it will soon become available for the research community, as previously happened with sequenced genomes.
- 2.
For details, see SEED subsystem “FMN and FAD biosynthesis” at http://theseed.uchicago.edu/FIG/subsys.cgi?user=master:&ssa_name=FMN_and_FAD_biosynthesis...request=show_ssa.
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Osterman, A.L., Gerdes, S.Y. (2008). Comparative Approach to Analysis of Gene Essentiality. In: Osterman, A.L., Gerdes, S.Y. (eds) Microbial Gene Essentiality: Protocols and Bioinformatics. Methods in Molecular Biology™, vol 416. Humana Press. https://doi.org/10.1007/978-1-59745-321-9_31
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DOI: https://doi.org/10.1007/978-1-59745-321-9_31
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