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

Research output: Contribution to journalJournal articlepeer-review

Standard

Physiological Genetics Reformed : Bridging the Genome-to-Phenome Gap by Coherent Chemical Fingerprints – the Global Coordinator. / Munck, Lars; Rinnan, Åsmund; Khakimov, Bekzod; Jespersen, Birthe Møller; Engelsen, Søren Balling.

In: Trends in Plant Science, Vol. 26, No. 4, 2021, p. 324-337.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Munck, L, Rinnan, Å, Khakimov, B, Jespersen, BM & Engelsen, SB 2021, 'Physiological Genetics Reformed: Bridging the Genome-to-Phenome Gap by Coherent Chemical Fingerprints – the Global Coordinator', Trends in Plant Science, vol. 26, no. 4, pp. 324-337. https://doi.org/10.1016/j.tplants.2020.12.014

APA

Munck, L., Rinnan, Å., Khakimov, B., Jespersen, B. M., & Engelsen, S. B. (2021). Physiological Genetics Reformed: Bridging the Genome-to-Phenome Gap by Coherent Chemical Fingerprints – the Global Coordinator. Trends in Plant Science, 26(4), 324-337. https://doi.org/10.1016/j.tplants.2020.12.014

Vancouver

Munck L, Rinnan Å, Khakimov B, Jespersen BM, Engelsen SB. Physiological Genetics Reformed: Bridging the Genome-to-Phenome Gap by Coherent Chemical Fingerprints – the Global Coordinator. Trends in Plant Science. 2021;26(4):324-337. https://doi.org/10.1016/j.tplants.2020.12.014

Author

Munck, Lars ; Rinnan, Åsmund ; Khakimov, Bekzod ; Jespersen, Birthe Møller ; Engelsen, Søren Balling. / Physiological Genetics Reformed : Bridging the Genome-to-Phenome Gap by Coherent Chemical Fingerprints – the Global Coordinator. In: Trends in Plant Science. 2021 ; Vol. 26, No. 4. pp. 324-337.

Bibtex

@article{d98a416d7e2f44e5ac61f8b25ec91125,
title = "Physiological Genetics Reformed: Bridging the Genome-to-Phenome Gap by Coherent Chemical Fingerprints – the Global Coordinator",
abstract = "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.",
keywords = "chemical fingerprints, coherence in physiological genetics, genome-to-phenome gap, near infrared spectroscopy, plant breeding, self-organization in natural calculations",
author = "Lars Munck and {\AA}smund Rinnan and Bekzod Khakimov and Jespersen, {Birthe M{\o}ller} and Engelsen, {S{\o}ren Balling}",
year = "2021",
doi = "10.1016/j.tplants.2020.12.014",
language = "English",
volume = "26",
pages = "324--337",
journal = "Trends in Plant Science",
issn = "1360-1385",
publisher = "Elsevier Ltd. * Trends Journals",
number = "4",

}

RIS

TY - JOUR

T1 - Physiological Genetics Reformed

T2 - Bridging the Genome-to-Phenome Gap by Coherent Chemical Fingerprints – the Global Coordinator

AU - Munck, Lars

AU - Rinnan, Åsmund

AU - Khakimov, Bekzod

AU - Jespersen, Birthe Møller

AU - Engelsen, Søren Balling

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - chemical fingerprints

KW - coherence in physiological genetics

KW - genome-to-phenome gap

KW - near infrared spectroscopy

KW - plant breeding

KW - self-organization in natural calculations

U2 - 10.1016/j.tplants.2020.12.014

DO - 10.1016/j.tplants.2020.12.014

M3 - Journal article

C2 - 33526341

AN - SCOPUS:85100402128

VL - 26

SP - 324

EP - 337

JO - Trends in Plant Science

JF - Trends in Plant Science

SN - 1360-1385

IS - 4

ER -

ID: 257968554