An Overview of Omics for Wheat Grain Quality Improvement - Crop Improvement: New Approaches and Modern Techniques - page 331

for quality traits is aiding in diagnostics and introgression of favorable alleles from
different genetic resources of higher and lower ploidy including land races and wild
species. Harnessing the new allelic variability from wild sources using molecular
markers will catalyze the genetic improvement by broadening the gene pool for
maximizing the genetic gain of desirable alleles. The information discussed in this
chapter ensures that the advances in the molecular diagnostics and cytological intro-
gression approaches would resolve the complexities of the gene networks underpin-
ning quality attributes that would help to meet the challenges presented by the swift
changes occurring within the food chain.
Large scale genome sequencing and integration of bioinformatics will accelerate
the analysis structure and function of quality genes. Analysis of huge databases gen-
erated from genome sequencing and high-throughput marker analyses (SNPs and
microarray) of the expressed genes in developing grain and their integration with
web-based comparative genomic tools are formulating the strategies leading to-
wards stringent objectivity. Another avenue is the use of TILLING and small RNAs
where the specific functions are assigned to quality encoding genes by identifying
mutants and deleting the mRNA, respectively. The recent advent of Multi-parent
Advanced Generation Inter-Cross (MAGIC) approach will identify more precisely
the quality encoding genes and resolve the complexities of gene networks underpin-
ning the quality attributes to meet the upcoming challenges in grain quality.
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