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can be done up to RIL population (Korte & Farlow, 2013). To overcome
the drawbacks of QTL mapping, GWAS was introduced. GWAS is basically
free from any hypothesis but can generate hypothesis. Also, GWAS can
be used in the identification of more variants related to any trait. In any
GWAS study, the SNPs present in the sequence data are used to correlate
different genetic variants, phenotypes, etc., in any population of organism.
Other similar approaches investigate a particular portion of the chromosome
while GWAS is able to explore the whole genome. GWAS has been used
in various biotic and abiotic stress responses in the plants discussed later in
the chapter. Different stresses are controlled by various genes like biotic is
mostly controlled by a single gene while abiotic stress is based on multiple
genes (Wan et al., 2017). So far, many studies have been done using GWAS
mentioned in Table 10.1.
10.5.1 ABIOTIC STRESS
Abiotic stress affects the plant development and growth by affecting plant
metabolism and cellular pathways. To understand the effect of genes respon
sible for the stress response, such putative genes need to be identified from
population of any organism. For this several studies based on GWAS have
been performed recently in response to abiotic stresses. A study has been
reported in which the identification of genes responsible for drought resis
tance in rice plant was observed with an aim to develop tools that can be used
in future rice breeding. For the analysis of 175 rice accessions have been
done with variable water availability. As a result, 13 SNP markers related to
the yield under drought were identified and the stepwise regression analysis,
8 SNP markers were validated by in silico methods. The PCR validation
revealed that two SNP markers have been found similar to the genotypes
with higher yield under water deficit conditions. This drought experiment
also showed that 30 genes out of 50 were annotated and 10 (e.g., WRKY TFs
and other enzymes) have been reported as linked to drought and other abiotic
stresses (Pantaliao et al., 2016). Arbuscular mycorrhizal symbiosis has a
typical role in the improvement of drought stress resistance in wheat. But the
related QTLs associated in response to drought stress are not well known.
Therefore, a GWAS was conducted to reveal such QTL regions responsible
for controlling the stress response against low water conditions. Such studies
will help in future work related to the gene identification too (Lehnert et al.,
2018).