De novo transcriptome assembly and analysis of gene expression in different tissues of moth bean (Vigna aconitifolia) (Jacq.) Marechal.

BACKGROUND: The underutilized species Vigna aconitifolia (Moth Bean) is an important legume crop cultivated in semi-arid conditions and is valued for its seeds for their high protein content. It is also a popular green manure cover crop that offers many agronomic benefits including nitrogen fixation and soil nutrients. Despite its economic potential, genomic resources for this crop are scarce and there is limited knowledge on the developmental process of this plant at a molecular level. In the present communication, we have studied the molecular mechanisms that regulate plant development in V. aconitifolia, with a special focus on flower and seed development. We believe that this study will greatly enrich the genomic resources for this plant in form of differentially expressed genes, transcription factors, and genic molecular markers. RESULTS: We have performed the de novo transcriptome assembly using six types of tissues from various developmental stages of Vigna aconitifolia (var. RMO-435), namely, leaves, roots, flowers, pods, and seed tissue in the early and late stages of development, using the Illumina NextSeq platform. We assembled the transcriptome to get 150938 unigenes with an average length of 937.78 bp. About 79.9% of these unigenes were annotated in public databases and 12839 of those unigenes showed a significant match in the KEGG database. Most of the unigenes displayed significant differential expression in the late stages of seed development as compared with leaves. We annotated 74082 unigenes as transcription factors and identified 12096 simple sequence repeats (SSRs) in the genic regions of V.aconitifolia. Digital expression analysis revealed specific gene activities in different tissues which were validated using Real-time PCR analysis. CONCLUSIONS: The Vigna aconitifolia transcriptomic resources generated in this study provide foundational resources for gene discovery with respect to various developmental stages. This study provides the first comprehensive analysis revealing the genes involved in molecular as well as metabolic pathways that regulate seed development and may be responsible for the unique nutritive values of moth bean seeds. Hence, this study would serve as a foundation for characterization of candidate genes which would not only provide novel insights into understanding seed development but also provide resources for improved moth bean and related species genetic enhancement.

De novo transcriptome assembly and analysis of Phragmites karka, an invasive halophyte, to study the mechanism of salinity stress tolerance.

With the rapidly deteriorating environmental conditions, the development of stress tolerant plants has become a priority for sustaining agricultural productivity. Therefore, studying the process of stress tolerance in naturally tolerant species hold significant promise. Phragmites karka is an invasive plant species found abundantly in tropical and sub tropical regions, fresh water regions and brackish marshy areas, such as river banks and lake shores. The plant possesses the ability to adapt and survive under conditions of high salinity. We subjected P. karka seedlings to salt stress and carried out whole transcriptome profiling of leaf and root tissues. Assessing the global transcriptome changes under salt stress resulted in the identification of several genes that are differentially regulated under stress conditions in root and leaf tissue. A total of 161,403 unigenes were assembled and used as a reference for digital gene expression analysis. A number of key metabolic pathways were found to be over-represented. Digital gene expression analysis was validated using qRT-PCR. In addition, a number of different transcription factor families including WRKY, MYB, CCCH, NAC etc. were differentially expressed under salinity stress. Our data will facilitate further characterisation of genes involved in salinity stress tolerance in P. karka. The DEGs from our results are potential candidates for understanding and engineering abiotic stress tolerance in plants.