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Biology and Biotechnology of Environmental Stress Tolerance in Plants, Volume 3
The first study based on GWAS showing the interaction of bacteria
P. syringae was performed in 2005 by Aranzana and colleagues (2005).
Recently, the enormous use of GWAS is due to the new technique developed,
i.e., NGS. This new technique is used for fine mapping of natural variation
using genetic markers (Bartoli & Roux, 2017). As tolerance to biotic stress is
the ultimate goal of breeders. A study done on hexaploid wheat plant under
different biotic stress has been reported in which 125 hexaploid wheat were
identified in providing resistance to fungal infections that causes various
diseases (wheat rusts and crown rot). The GWAS study confirmed the genes
and the genomic regions supporting resistance to biotic stress as 124 marker-
trait associations (MTAs) were estimated, out of which 33 of them were
found within the gene sequences. The result provided more insights into
stress resistance in wheat for future breeding programs (Bhatta et al., 2019).
10.6 ROLE OF NGS IN UNDERSTANDING PLANT RESPONSE TO
ENVIRONMENTAL STRESS
The next-generation sequencing or NGS technologies is a new technique which
includes Illumina/Solexa’s sequencing technology (San Diego, California,
USA) (Quail et al., 2008), and SOLiD sequencing technology, etc. NGS has
wide applications in the field of genomics like genome projects, transcriptome
analysis and RNA sequencing. The advance in NGS technology has enabled
researchers to identify gene networks of candidate genes that may response
to different environmental stress. The understanding of genetic variations
of secondary traits related to stress tolerance and identification of variations
in nucleotides helps breeders to improve crops efficiently. In recent years,
the role of GWAS in the detection of genes associated with developmental
processes like stress tolerance in plants has been explored with more clear
vision about the expression patterns under stress conditions in different parts
and stages of the plant (Yu et al., 2006). The NGS-based RNA-seq methods
for transcriptomes can help in the characterization of genes, detection of gene
expression, identification, and quantification of new transcripts and variation
in sequence of identified genes. Studies suggest that the response to various
stresses is controlled by a wide range of regulatory genes and their related
mechanisms. Transcription factors (TFs), other genes coding for transport
proteins that are somewhere involved in metabolic pathways and signaling
gets activated under stress conditions (biotic and abiotic) (Atkinson &
Urwin, 2012; Fan et al., 2013). However, unique genes are activated against