Exploring the dynamic landscape of microbial discovery in aquatic ecosystems, the chapter highlights the shift from traditional to advanced genomic and proteomic technologies. Fingerprint-based approaches such as randomly amplified polymorphic DNA (RAPD) and restriction fragment length polymorphism (RFLP) in combination with systematic sequencing-based methods are advantageous in terms of universality, discriminating power, and time-economy. To highlight the important role of bioinformatics, the established tools are emphasized, providing insights into widely used platforms such as BIBI, fIDBAC, and DAMIAN. Furthermore, this chapterdelves into proteome technologies, examines gel- and mass spectrometry-based approaches, and explains how they might be used in thorough microbiological characterization. Despite great progress, issues persist in controlling large databases and overcoming the constraints of simulation-based methodologies. The importance of continuing skill improvement in navigating the complicated environment of numerous bacterial species in water has been underlined. This discovery, in particular, demonstrates the revolutionary implications of improved technology in understanding and recognizing bacteria and represents a significant step forward in discovering what is living in aquatic microbial communities.

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Application of Bioinformatics in Identification of Aquatic Microbes

  • Nihar Ranjan Sahoo,
  • Monalisa Sahoo,
  • Samarendra Das

摘要

Exploring the dynamic landscape of microbial discovery in aquatic ecosystems, the chapter highlights the shift from traditional to advanced genomic and proteomic technologies. Fingerprint-based approaches such as randomly amplified polymorphic DNA (RAPD) and restriction fragment length polymorphism (RFLP) in combination with systematic sequencing-based methods are advantageous in terms of universality, discriminating power, and time-economy. To highlight the important role of bioinformatics, the established tools are emphasized, providing insights into widely used platforms such as BIBI, fIDBAC, and DAMIAN. Furthermore, this chapterdelves into proteome technologies, examines gel- and mass spectrometry-based approaches, and explains how they might be used in thorough microbiological characterization. Despite great progress, issues persist in controlling large databases and overcoming the constraints of simulation-based methodologies. The importance of continuing skill improvement in navigating the complicated environment of numerous bacterial species in water has been underlined. This discovery, in particular, demonstrates the revolutionary implications of improved technology in understanding and recognizing bacteria and represents a significant step forward in discovering what is living in aquatic microbial communities.