Naveenkumar HS
M.Sc. Bioinformatics
1 yr 4 mo
Duration
Research Thesis
Title
Prediction and Analysis of abiotic Stress Responsive IncRNAs in lens culinaris
Abstract
Lentil (Lens culinaris) an annual, bushy in nature known for its ‘lens-shaped seeds’ belonging to the family Leguminaceae , It is famous as poor man's nourishment also commonly known as masoor dal, dal etc. It is 40 cm tall and the diploid plant (2n = 2 = 14) with a genome size of 4 Gbp. It has the ability to fix air nitrogen, which makes it very important in soil health and wealth management. . It is well known for having seeds formed at its focal point. The crop production in Lentil is affected by both biotic as well as abiotic factors. Drought and Heat stress are the major environmental stresses affecting plants, resulting in reduced productivity and crop losses.The present study is based on the paired-end reads of control and drought affected leaf transcriptome of Lentils in both drought and heat stress condition generated by Illumina Hiseq 2000 technology. The study aims at identification of long non-coding RNAs in leaf tissues of Lentils for both drought stress and Heat stress by its transcriptional profiling, Target prediction of these lncRNAs and their regulating function in this crop are very much lagging. De novo transcriptome assembly was carried out using the assembler trinity. A total of 112210 transcripts, 2,155 lncRNAs and 177 differential expressed lncRNAs seen in Drought stress where as in heat stress a total of 106723 transcripts , 3447 lncRNAs with no differential expression were seen. .mi-RNAs like miR6167, miR1134, miR1134 are found to interact with the putative lncRNAs. All this information can be further be utilized in the implementation of genetic improvement by designing markers and validation for development of new improved cultivars. The target prediction of lncRNAs can also be valuable genomic resource in endeavour of drought and heat tolerant variety development for higher productivity of Lentil.