Physiological Genetics Reformed: Bridging the Genome-to-Phenome Gap by Coherent Chemical Fingerprints - the Global Coordinator.

Autor: Munck L; Chemometrics and Analytical Technology, Department of Food Science, Rolighedsvej 26, DK-1958, University of Copenhagen, Copenhagen, Denmark. Electronic address: lmu@food.ku.dk., Rinnan Å; Chemometrics and Analytical Technology, Department of Food Science, Rolighedsvej 26, DK-1958, University of Copenhagen, Copenhagen, Denmark. Electronic address: aar@food.ku.dk., Khakimov B; Chemometrics and Analytical Technology, Department of Food Science, Rolighedsvej 26, DK-1958, University of Copenhagen, Copenhagen, Denmark., Jespersen BM; Chemometrics and Analytical Technology, Department of Food Science, Rolighedsvej 26, DK-1958, University of Copenhagen, Copenhagen, Denmark., Engelsen SB; Chemometrics and Analytical Technology, Department of Food Science, Rolighedsvej 26, DK-1958, University of Copenhagen, Copenhagen, Denmark.
Jazyk: angličtina
Zdroj: Trends in plant science [Trends Plant Sci] 2021 Apr; Vol. 26 (4), pp. 324-337. Date of Electronic Publication: 2021 Jan 29.
DOI: 10.1016/j.tplants.2020.12.014
Abstrakt: Forward-focused molecular genetics is successfully framing DNA diversity and mapping primary gene functions. However, abandoning the classic Linnaean fingerprint link between the phenome and genome by suppressing gene interaction (pleiotropy), has resulted in a genome-to-phenome gap and poor utilization of molecular data. We demonstrate how to bridge this gap by using an example of a barley mutant seed model, where pleiotropy is observed as covarying global molecular patterns that define each endosperm. Global coherence was discovered as a covariate coordinator within and between local genotype specific fingerprints. This implies that any of these fingerprints can select its recombinant global phenotype variant, including composition. Introducing the law of coherence, and the movement of gene complexes by chemical fingerprint traits as selectors, introduces a revolution in understanding physiological molecular genetics and plant-breeding.
(Copyright © 2020 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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