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Biology and Biotechnology of Environmental Stress Tolerance in Plants, Volume 3

77 InDels and 116 SNPs were found in the region of BADH1 gene which

represented 39 haplotypes. The findings suggested the usefulness of BADH1

in future experiments based on gene expressions (Min et al., 2021). Some

other similar studies are mentioned in Table 10.2.

TABLE 10.2 Application of NGS on Plants in Response to Environmental Stress

Plant

Study Done

Outcomes

References

Raphanus

sativus

To study novel

heat-stress related

microRNAs

25 miRNAs were identified

involved in multiple biological

pathways and response to stress

Wang et al.

(2015)

Raphanus

sativus

Transcriptome

profiling to identify

genes related to lead

stress response

Potential differentially expressed

genes involved in response to Pb

were identified and their role in

different biological pathways was

reflected.

Wang et al.

(2013)

Raphanus

sativus

Transcriptome based

gene identification

in response to

chromium stress.

Genes were identified involved

in TFs, metal transporter,

antioxidant activity, etc.

Xie et al. (2015)

Tomato

Gene for resistance

against tomato late

blight disease

Two genes were identified as

potential genes for disease

resistance

Arafa et al. (2017)

Rice

Analysis of BADH1

Resulted in association of the

haplotype BADH1 with salt

tolerance

Min et al. (2021)

10.7 CONCLUSION

The increasing human population has led to the change in the climate at

extreme levels which is affecting the environment. The crop productivity

is decreasing due to lesser adaptability of plants to the changing climate.

Therefore, the mechanisms that represent the adaptive capacity of any

plant are to be understood. Mining of genes and their functions becomes

an imperative need to build better cropping systems. This will help in

breeding of climate resilient crops by manipulating genes in wild types.

The native plants may represent a good source of novel genes that show

better adaptability in extreme stress conditions. GWAS and NGS together

are accelerating the availability of genetic information of different aspects

of any plant, including stress resistance. The available information of loci

and QTLs associated with any trait can be used in bioinformatics to enhance