Miguel Fernández-Niño

Leibniz Institute of Plant Biochemistry

Dr. Miguel Fernández-Niño is a biologist from The National University of Colombia with a master’s degree in Biochemistry from the same institution and a Ph.D. in Biochemical Engineering from Jacobs University, Bremen, Germany. He is currently working as a researcher at the Leibniz Institute of Plant Biochemistry, Halle (Saale), Germany. Dr. Fernández-Niño has extensive experience in synthetic biology, metabolic engineering, genome mining/editing, and molecular biotechnology, which can be applied to engineer and improve microorganisms with biotechnological applications.

1books edited

3chapters authored

Latest work with IntechOpen by Miguel Fernández-Niño

The current advances in sequencing, data mining, DNA synthesis, cloning, in silico modeling, and genome editing have opened a new field of research known as Synthetic Genomics. The main goal of this emerging area is to engineer entire synthetic genomes from scratch using pre-designed building blocks obtained by chemical synthesis and rational design. This has opened the possibility to further improve our understanding of genome fundamentals by considering the effect of the whole biological system on biological function. Moreover, the construction of non-natural biological systems has allowed us to explore novel biological functions so far not discovered in nature. This book summarizes the current state of Synthetic Genomics, providing relevant examples in this emerging field.

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Synthetic Genomics

Edited by Miguel Fernández-Niño

Chapters authored

Bacterial Sensors in Microfouling Assays

By Carmenza Duque, Edisson Tello, Leonardo Castellanos, Miguel Fernández and Catalina Arévalo-Ferro

Part of the book: State of the Art in Biosensors

Multi-Omics Data Mining: A Novel Tool for BioBrick Design

By Angie Burgos-Toro, Martin Dippe, Andres Felipe Vásquez, Eric Pierschel, Ludger Aloisius Wessjohann and Miguel Fernández-Niño

Currently, billions of nucleotide and amino acid sequences accumulate in free-access databases as a result of the omics revolution, the improvement in sequencing technologies, and the systematic storage of shotgun sequencing data from a large and diverse number of organisms. In this chapter, multi-omics data mining approaches will be discussed as a novel tool for the identification and characterization of novel DNA sequences encoding elementary parts of complex biological systems (BioBricks) using omics libraries. Multi-omics data mining opens up the possibility to identify novel unknown sequences from free-access databases. It also provides an excellent platform for the identification and design of novel BioBricks by using previously well-characterized biological bricks as scaffolds for homology searching and BioBrick design. In this chapter, the most recent mining approaches will be discussed, and several examples will be presented to highlight its relevance as a novel tool for synthetic biology.

Part of the book: Synthetic Genomics

Introductory Chapter: From BioBricks to Synthetic Genomes

By Luis Humberto Reyes and Miguel Fernández-Niño

Part of the book: Synthetic Genomics

Miguel Fernández-Niño

Latest work with IntechOpen by Miguel Fernández-Niño

Synthetic Genomics

Chapters authored

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