Decoding exceptional plant traits by comparative single-cell genomics
2022
Conde, Daniel | Kirst, Matias | Kirst, Matias [0000-0002-8186-3945] | Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
Some plants have acquired traits of remarkable adaptive value to thrive under stress. Transferring these traits to crops could improve agriculture, but uncovering the toolkit required has remained largely elusive. We propose that single-cell genomics offers a framework to compare species with contrasting developmental traits and to identify the regulators of evolutionary innovations.
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Este registro bibliográfico ha sido proporcionado por Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
