Email: wolfram.weckwerth@univie.ac.at

Integration of multiomics analysis using metabolomics, proteomics, RNAseq, metabolic modelling, AI, machine learning - in short PANOMICS technology - applied to natural variation of wheat germplasm collections goes beyond classical genomic techniques and offers valuable tools to characterize the system and understand evolutionary plasticity linking molecular regulation and phenotypes as well as plant- soil microbe interactions [1,2].

Wheatpanomics will exploit the natural variation of genomes, metabolomes, proteomes, transcriptomes in hundreds and thousands of different wheat genotypes and their causal link to phenotypic traits, such as yield, stress resistance, nutritional quality and many more.

The platform integrates also techniques of artificial intelligence and modelling to improve genomic predictions. The aim is to provide intimate molecular information for breeding programs addressing resilient and sustainable agricultural production systems [1, 2].

WheatOmics, a novel journal will provide an important podium for reporting the newest standards in wheatpanomics. WheatOmics encourages submissions that span Agronomy, Physiology, Genetics, Breeding, Biotechnology, Genome editing, Microbiome, Artificial Intelligence, and many more fields with full or partial integration of 'omics' (https://www.wheatomics.com/).

[1] Weckwerth W et al (2020) PANOMICS meets germplasm. Plant Biotechnol J 18: 1507-1525

[2] Ghatak, A., et al. (2023) PANOMICS at the interface of root-soil microbiome and BNI. Trends Plant Sci 28, 106-122