Analysis of Transcriptome datasets of Jatropha Curcas Leaves Infected with Colletotrichum Gloeosporioides Using RNA-Seq


Authors : KrunalPawar; Dr. Siddhivinayak Barve; Dr. Neeta S. Madan

Volume/Issue : Volume 7 - 2022, Issue 4 - April

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3wu9DfG

DOI : https://doi.org/10.5281/zenodo.6562573

Even though jatropha holds enormous potential as a biodiesel feedstock, there are still significant obstacles that can be overcome before it can be economically viable in many parts of the world. Jatropha curcas develops anthracnose due to Colletotrichumgloeosporioides and it affects each genotype in a different way. A gene-expression profiling study was performed with total RNA from two cultivars of Jatropha curcas that had and did not have a Colletotrichumgloeosporioides inoculation line in order to identify potential candidate genes involved in pathogenplant interactions. There were 213 significant differential gene expressions between the wild type 9-1 and RJ127 cultivar lines inoculated with Colletotrichumgloeosporioides. A comprehensive analysis of these genes provided information regarding the signaling system, hormone biosynthesis and regulation, transcription regulation, and ubiquitin-mediated proteolysis. Gene Ontology (GO:0006952) annotations were found for nine genes associated with defense response, six orthologous genes were associated with pathogen-plant interactions, and 27 transcription factors were associated with fungus responses. The expression levels of genes varied among cultivars when infected with Colletotrichumgloeosporioides, according to gene expression analysis. Transcriptome analyses were used to diagnose candidate genes for transcription factors and structural genes that may be involved in plant-pathogen interactions in Jatropha curcas leaves of the cultivated genotypes. These analyses provided new insights into the defense mechanisms controlling infection associated with cultivar Jatropha curcas 9-1. The structural genes and regulators identified here can also be used as efficient genetic markers for the selection of cultivars with excessive defense mechanisms.

Keywords : Jatropha; C. gloeosporioides; NGS; RNA-Seq; DGEs; biodiesel; NGS

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