Oct 26, 2018

Identifying Emerging Phenomenon in Plant Long Temporal Phenotyping Experiments

BioRxiv : the Preprint Server for Biology
Jiajie PengJin Chen

Abstract

The rapid improvement of phenotyping capability, accuracy, and throughput have greatly increased the volume and diversity of phenomics data. A remaining challenge is an efficient way to identify phenotypic patterns to improve our understanding of the quantitative variation of complex phenotypes, and to attribute gene functions. To address this challenge, we developed a new algorithm to identify emerging phenomena from large-scale temporal plant phenotyping experiments. An emerging phenomenon is defined as a group of genotypes who exhibit a coherent phenotype pattern during a relatively short time. Emerging phenomena are highly transient and diverse, and are dependent in complex ways on both environmental conditions and development. Identifying emerging phenomena may help biologists to examine potential relationships among phenotypes and genotypes in a genetically diverse population and to associate such relationships with the change of environments or development. We present an emerging phenomenon identification tool called Temporal Emerging Phenomenon Finder (TEP-Finder). Using large-scale longitudinal phenomics data as input, TEP-Finder first encodes the complicated phenotypic patterns into a dynamic phenotype network. Then, ...Continue Reading

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Mentioned in this Paper

Patterns
Environment
Menopause
Tetraethylpyrazine
Gene Function
DSP protein, human
HADHAP2 gene
Phenotype Determination
Population Group
Phenotyping (Qualifier Value)

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