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Title: Metabotyping as a Stopover in Genome-to-Phenome Mapping

Abstract

Predicting phenotypic expression from genomic and environmental information is arguably the greatest challenge in today's biology. Being able to survey genomic content, e.g., as single-nucleotide polymorphism data, within a diverse population and predict the phenotypes of external traits, represents the holy grail across genome-informed disciplines, from personal medicine and nutrition to plant breeding. In the present study, we propose a two-step procedure in bridging the genome to phenome gap where external phenotypes are viewed as emergent properties of internal phenotypes, such as molecular profiles, in interaction with the environment. Using biomass accumulation and shoot-root allometry as external traits in diverse genotypes of the model grass Brachypodium distachyon, we established correlative models between genotypes and metabolite profiles (metabotypes) as internal phenotypes, and between metabotypes and external phenotypes under two contrasting watering regimes. Our results demonstrate the potential for employing metabotypes as an integrator in predicting external phenotypes from genomic information.

Authors:
 [1]; ORCiD logo [1];  [1];  [1]; ORCiD logo [2];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1502135
Alternate Identifier(s):
OSTI ID: 1546645
Report Number(s):
PNNL-SA-135368
Journal ID: ISSN 2045-2322
Grant/Contract Number:  
AC05-76RL01830; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Handakumbura, Pubudu P., Stanfill, Bryan, Rivas-Ubach, Albert, Fortin, Dan, Vogel, John P., and Jansson, Christer. Metabotyping as a Stopover in Genome-to-Phenome Mapping. United States: N. p., 2019. Web. doi:10.1038/s41598-019-38483-0.
Handakumbura, Pubudu P., Stanfill, Bryan, Rivas-Ubach, Albert, Fortin, Dan, Vogel, John P., & Jansson, Christer. Metabotyping as a Stopover in Genome-to-Phenome Mapping. United States. https://doi.org/10.1038/s41598-019-38483-0
Handakumbura, Pubudu P., Stanfill, Bryan, Rivas-Ubach, Albert, Fortin, Dan, Vogel, John P., and Jansson, Christer. Tue . "Metabotyping as a Stopover in Genome-to-Phenome Mapping". United States. https://doi.org/10.1038/s41598-019-38483-0. https://www.osti.gov/servlets/purl/1502135.
@article{osti_1502135,
title = {Metabotyping as a Stopover in Genome-to-Phenome Mapping},
author = {Handakumbura, Pubudu P. and Stanfill, Bryan and Rivas-Ubach, Albert and Fortin, Dan and Vogel, John P. and Jansson, Christer},
abstractNote = {Predicting phenotypic expression from genomic and environmental information is arguably the greatest challenge in today's biology. Being able to survey genomic content, e.g., as single-nucleotide polymorphism data, within a diverse population and predict the phenotypes of external traits, represents the holy grail across genome-informed disciplines, from personal medicine and nutrition to plant breeding. In the present study, we propose a two-step procedure in bridging the genome to phenome gap where external phenotypes are viewed as emergent properties of internal phenotypes, such as molecular profiles, in interaction with the environment. Using biomass accumulation and shoot-root allometry as external traits in diverse genotypes of the model grass Brachypodium distachyon, we established correlative models between genotypes and metabolite profiles (metabotypes) as internal phenotypes, and between metabotypes and external phenotypes under two contrasting watering regimes. Our results demonstrate the potential for employing metabotypes as an integrator in predicting external phenotypes from genomic information.},
doi = {10.1038/s41598-019-38483-0},
journal = {Scientific Reports},
number = 1,
volume = 9,
place = {United States},
year = {Tue Feb 12 00:00:00 EST 2019},
month = {Tue Feb 12 00:00:00 EST 2019}
}

Journal Article:
Free Publicly Available Full Text
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Cited by: 17 works
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Figures / Tables:

Figure 1 Figure 1: Genotype-phenotype predictions. The figure illustrates the relationships between plant genotype (G), plant epigenotype (Eg), internal phenotype (Pi; e.g., biochemical, physiological or cellular properties), external phenotype (Pe; e.g., morphological or phenological properties), and the surrounding environment (E). Bridging the genotype-to-external phenotype gap is indicated by predicting external phenotype directlymore » from genotypic information (e.g., from SNP genotyping), or via selected internal phenotypes (particularly molecular profiles) that can be clustered to genotypic information and associated with external phenotypes.« less

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