RT Journal Article
T1 The power of many: when genetics met yeasts and high-throughput
A1 Álvarez Tallada, Víctor
A1 Carranco Fabre, Victor Manuel
K1 Adaptation
K1 Biotech production
K1 Directed evolution
K1 Disease models
K1 Drug discovery
K1 High‐throughput screens
K1 Systems biology
K1 Yeast
AB In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale. Concomitant with the availability of sophisticated technology developed to increase experimental processes in parallel, it is essential to have a versatile biological model that allows us to generate and handle large collections of genetic variants with the greatest possible capacity. This is a critical aspect in order to approach saturation levels in each search, to minimise false-positive and false-negative rates. In this sense, yeasts represent a prototypical eukaryotic model with a remarkable genome editing potential: it is possible to generate and phenotype several thousand genetically diverse strains on a high-throughput scale. Here we review, with a focus on the most recent years, the combination of the power of yeasts with the technical advances in multi-level processing capability. This has resulted in unprecedented global mappings of a multitude of biological processes with important implications that reshape our knowledge of fundamental biology, evolution and biotechnological/biomedical applications.
PB John Wiley & Sons Ltd
YR 2026
FD 2026
LK https://hdl.handle.net/10433/26053
UL https://hdl.handle.net/10433/26053
LA en
NO Tallada, V.A. and Carranco, V. (2026), The power of many: when genetics met yeasts and high-throughput. Biol Rev. https://doi.org/10.1002/brv.70141
NO Funding from VI Plan Propio de Investigación y Transferencia 2023–2026 Universidad Pablo de Olavide (Rfª.: PPI2407). Proyecto CEX2020-001088-M, funded by MCIN/AEI/10.13039/501100011033. Funding for open access publishing: Universidad Pablo de Olavide/CBUA.
NO Universidad Pablo de Olavide. Departamento de Biología Molecular e Ingeniería Bioquímica
NO Centro Andaluz de Biología del Desarrollo
DS RIO
RD May 22, 2026