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PANOMICS meets germplasm

OAR@ICRISAT

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Field Value
 
Relation http://oar.icrisat.org/11557/
https://doi.org/10.1111/pbi.13372
doi:10.1111/pbi.13372
 
Title PANOMICS meets germplasm
 
Creator Weckwerth, W
Ghatak, A
Bellaire, A
Chaturvedi, P
Varshney, R K
 
Subject Genetics and Genomics
Germplasm
 
Description Genotyping-by-sequencing has enabled approaches for genomic selection to improve yield, stress resistance and nutritional value. More and more resource studies are emerging providing 1000 and more genotypes and millions of SNPs for one species covering a hitherto inaccessible
intraspecific genetic variation. The larger the databases are growing, the better statistical approaches for genomic selection will be available. However, there are clear limitations on the statistical but also on the biological part. Intraspecific genetic variation is able to explain a high proportion of the phenotypes, but a large part of phenotypic plasticity also stems from environmentally driven transcriptional, post-transcriptional, ranslational, post-translational, epigenetic and metabolic regulation. Moreover, regulation of the same gene can have different
phenotypic outputs in different environments. Consequently, to explain and understand environment-dependent phenotypic plasticity based on the available genotype variation we have
to integrate the analysis of further molecular levels reflecting the complete information flow from the gene to metabolism to phenotype. Interestingly, metabolomics platforms are already more cost-effective than NGS platforms and are decisive for the prediction of nutritional value or stress resistance. Here, we propose three fundamental pillars for future breeding strategies in the framework of Green Systems Biology: (i) combining genome selection with environment dependent
PANOMICS analysis and deep learning to improve prediction accuracy for marker dependent trait performance; (ii) PANOMICS resolution at subtissue, cellular and subcellular level provides information about fundamental functions of selected markers; (iii) combining PANOMICS with genome editing and speed breeding tools to accelerate and enhance large-scale functional validation of trait-specific precision breeding.
 
Publisher Wiley
 
Date 2020-03
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11557/1/pbi.13372.pdf
Weckwerth, W and Ghatak, A and Bellaire, A and Chaturvedi, P and Varshney, R K (2020) PANOMICS meets germplasm. Plant Biotechnology Journal (TSI), 18 (7). pp. 1507-1525. ISSN 1467-7644