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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Transcriptome analysis of Snow Mountain Garlic for unraveling the organosulfur metabolic pathway
Rukmankesh Mehra1, Rahul Singh Jasrotia2, Ankit Mahajan3
1Bioinformatics Centre, School of Biotechnology, University of Jammu, Jammu 180006, India; Genome Research Laboratory, School of Biotechnology, University of Jammu, Jammu 180006, India.
Abstract:
Snow Mountain Garlic grows in the high altitudes of the Himalayas under low temperature conditions. It contains various bioactive compounds whose metabolic pathways have not been worked out at genomic level. The present work is the first report on the transcriptome sequencing of this plant. >43 million paired-end reads (301 × 2) were generated using Illumina Miseq sequencing technology. Assembling of the sequencing data resulted in 326,785 transcripts. Differentially expressed genes between the clove and leaf tissues were identified and characterized. Besides, greater emphasis was laid on the genes, which were highly expressed in clove since the latter is assumed to contain high content of the bioactive compounds. Further analysis led to the identification of the genes plausibly involved in the organosulfur metabolism. We also identified several simple sequence repeats and single nucleotide polymorphism. These constitute valuable genetic resource for research and further genetic improvement of the plant.
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