Plantomics and Futuromics



There are two frequently used fundamental terms: “ome” and “omics.” We feel that the “ome” should refer to the totality of the facts, those bits of information that make up the entirety of the topic (i.e., comprehensive coverage), whereas “omics” will refer to the synthesis of those facts leading to understanding (i.e., comprehension). The concept of omics in biology began with the need to understand the basic units of biology, the genes, and their nucleotide sequences, and huge amounts of money, effort, and intellectual capacity were poured into the human genome project with the idea of sequencing the entire genome and eventually knowing what each gene was doing. Thus omics began as a vast project of sequencing and enumeration, listing, cataloging, assigning, and above all analyzing and interpreting the vast amount of sequencing data. The entire process required the development of methods to sequence and obtain the data and protocols to assess and compile and infer the sequences. Thus biology joined physics, chemistry, mathematics, and computational science as an integrative “big” science. The genome project was followed soon after by another project in enumeration, the sequencing of proteins, and thus proteomics was born. This was followed by transcriptomics, which is the compilation and functional understanding of mRNA sequences. With the realization that the ultimate role of most proteins (enzymes) was to generate the plethora of metabolites, the field of metabolomics was developed, and this has led in turn to phenomics, the physical and biochemical traits of an organism. “Omics” has now become a general suffix to describe and assess the totality of any discipline (primarily in biology), and so there is an almost infinite number of “omes” that could be developed. In line, we have introduced the term “plantomics” that should include all plant-related “omes” and “omics.”


Human Genome Project Cytoplasmic Streaming Intellectual Capacity Biochemical Trait Functional Understanding 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Plant BiologyNorth Carolina State UniversityRaleighUSA
  2. 2.Department of GenomicsInstitute of Integrative Omics and Applied Biotechnology (IIOAB)NonakuriIndia

Personalised recommendations