This document discusses various 'omics' fields that focus on large-scale data to understand life at a molecular level. It describes genomics, transcriptomics, proteomics, metabolomics, and phenomics. Transcriptomics studies the complete set of RNA transcripts produced by the genome, proteomics examines the complete set of proteins in a cell, and phenomics analyzes observable traits. The document explores how these omics fields can provide insights into plant development, crop breeding, gene expression, and protein interactions and modifications.

1. Plant Omics

2. Contents
Introduction
Omics Space
★ Genomics
★ Transcriptomics
★ Proteomics
★ Metabolomics
★ Phenomics

3. Introduction:
The suffix "omics" is used to describe
something big, and refers to a field of study
in life sciences that focuses on large-scale
data/information to understand life
summed up in "omes" and "omics".
The Central Dogma includes three
processes
● Transcriptomics
● Proteomics
● Phenomics

4. Concepts to be investigated and understand:
That one gene encodes one protein, which catalyzes one reaction and
determines one phenotype is no longer the case.
How to capture all molecules and their interactions, dynamics,
regulations and turnover…?
How to determine the rate-limiting molecule and step? How to predict?
Manipulating one gene can cause pleiotropic effects?

5. Omics in plants:
Developmental Biology
How flower, Stem, Tissue, Root, seeds develops. This deals with all kinds of
developmental things.
Crop breeding
This deals with development of new traits by breading with better varieties.

6. Platforms:

7. Transcriptomics:
The study of the transcriptome, the complete set of RNA transcripts produced by
the genome at any one time.
Application of Transcriptomics:
★ Differential expression of genes
★ Co expression of genes
★ Gene interaction
★ Alternative splicing of genes

8. Proteomics:
The study of proteome, the structure and function of complete set of protein in a
cell at a given time.
Application of proteomics:
★ Protein mining
★ Differential expression profiling
★ Network Mapping
★ Mapping protein modification