These results demonstrate that a large number of wheat genes are poorly characterized and stress the fact that major efforts in functional analyses are needed.
Still, linking diversity in the 3K rice genomes dataset to phenotypic variation and environmental adaptation requires a long-term global effort in rice functional genomics research.
In this study, we aim to review and provide an outlook on the current state and contribution of in silico metabolic modelling efforts to functional genomics studies on the deadly malaria parasite.
This review summarizes current GWAS efforts in maize functional genomics research and discusses future prospects in the omics era.
Coordinated efforts in rice functional genomics, owing to the completion of rice genome sequencing, have led to the identification of several genes, corresponding to such QTLs (Miura et al. 2011).
Rice research has progressed greatly in the past years, highlighted by the completion of the first high-quality rice genome in 2005 [ 1], that stimulated global efforts in rice functional genomics research [ 2, 3].
Also, the precise forms of some of these r-proteins, as being part of the ribosome, are not structurally solved due to their high flexibility, which hinders the efforts in their functional elucidation.
However, to achieve this promise of WGS in research focused on crop improvement, significant efforts are required in functional genomics that include gene annotation, cloning, expression, and further functional analysis.
With nearly 14 years elapsing since the S. cerevisiae strain S288c genome sequence was made available, and more than 1,000 laboratories participating in functional genomics efforts, there are still 968 and 811 open reading frames (ORFs) classified as uncharacterized and dubious, respectively, according to the Saccharomyces Genome Database (SGD) [ 10, 11].
