Publications of NIPGR Scientists
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Item AtFusionDB: A comprehensive database of fusion transcripts in model plant Arabidopsis thaliana(Springer Nature Publishing AG, 2026) Shree, Tanu; Kumar, ShaileshFusion transcripts are chimeric RNAs, produced by the joining of two different RNAs at the RNA level or as a product of gene fusion at the DNA level. In this era of high-throughput sequencing technologies, it is easy to identify novel molecules like fusion transcripts in different systems. That's because, initially, supposed to be the well-known cancer biomarkers, fusion transcripts are also validated in normal human physiology. In Planta, discrete reports are available, indicating the presence of fusion transcripts but no dedicated web resource is available for the plant-specific fusion transcripts. This chapter describes the first plant-specific database of fusion transcripts, i.e., AtFusionDB ( http://www.nipgr.res.in/AtFusionDB ), which contains the information on fusion transcripts identified in the model plant Arabidopsis thaliana. This database can be exploited to get significant information about gene/transcript fusion in plants.Item The landscape of fusion transcripts in plants: a new insight into genome complexity(BioMed Central Ltd, 2024) Chitkara, Pragya; Singh, Ajeet; Gangwar, Rashmi; Bhardwaj, Rohan; Zahra, Shafaque; Arora, Simran; Hamid, Fiza; Arya, Ajay; Sahu, Namrata; Chakraborty, Srija; Ramesh, Madhulika; Kumar, ShaileshBackground Fusion transcripts (FTs), generated by the fusion of genes at the DNA level or RNA-level splicing events significantly contribute to transcriptome diversity. FTs are usually considered unique features of neoplasia and serve as biomarkers and therapeutic targets for multiple cancers. The latest findings show the presence of FTs in normal human physiology. Several discrete reports mentioned the presence of fusion transcripts in planta, has important roles in stress responses, morphological alterations, or traits (e.g. seed size, etc.). Results In this study, we identified 169,197 fusion transcripts in 2795 transcriptome datasets of Arabidopsis thaliana, Cicer arietinum, and Oryza sativa by using a combination of tools, and confirmed the translational activity of 150 fusion transcripts through proteomic datasets. Analysis of the FT junction sequences and their association with epigenetic factors, as revealed by ChIP-Seq datasets, demonstrated an organised process of fusion formation at the DNA level. We investigated the possible impact of three-dimensional chromatin conformation on intra-chromosomal fusion events by leveraging the Hi-C datasets with the incidence of fusion transcripts. We further utilised the longread RNA-Seq datasets to validate the most reoccurring fusion transcripts in each plant species followed by further authentication through RT-PCR and Sanger sequencing. Conclusions Our findings suggest that a significant portion of fusion events may be attributed to alternative splicing during transcription, accounting for numerous fusion events without a proportional increase in the number of RNA pairs. Even non-nuclear DNA transcripts from mitochondria and chloroplasts can participate in intra- and inter-chromosomal fusion formation. Genes in close spatial proximity are more prone to undergoing fusion formation, especially in intra-chromosomal FTs. Most of the fusion transcripts may not undergo translation and serve as long non-coding RNAs. The low validation rate of FTs in plants indicated that the fusion transcripts are expressed at very low levels, like in the case of humans. FTs often originate from parental genes involved in essential biological processes, suggesting their relevance across diverse tissues and stress conditions. This study presents a comprehensive repository of fusion transcripts, offering valuable insights into their roles in vital physiological processes and stress responses.Item PFusionDB: a comprehensive database of plant-specific fusion transcripts(Springer Nature Publishing AG, 2024) Arya, Ajay; Arora, Simran; Hamid, Fiza; Kumar, ShaileshFusion transcripts (FTs) are well known cancer biomarkers, relatively understudied in plants. Here, we developed PFusionDB (www.nipgr.ac.in/PFusionDB), a novel plant-specific fusion-transcript database. It is a comprehensive repository of 80,170, 39,108, 83,330, and 11,500 unique fusions detected in 1280, 637, 697, and 181 RNA-Seq samples of Arabidopsis thaliana, Oryza sativa japonica, Oryza sativa indica, and Cicer arietinum respectively. Here, a total of 76,599 (Arabidopsis thaliana), 35,480 (Oryza sativa japonica), 72,099 (Oryza sativa indica), and 9524 (Cicer arietinum) fusion transcripts are non-recurrent i.e., only found in one sample. Identification of FTs was performed by using a total of five tools viz. EricScript-Plants, STAR-Fusion, TrinityFusion, SQUID, and MapSplice. At PFusionDB, available fundamental details of fusion events includes the information of parental genes, junction sequence, expression levels of fusion transcripts, breakpoint coordinates, strand information, tissue type, treatment information, fusion type, PFusionDB ID, and Sequence Read Archive (SRA) ID. Further, two search modules: ‘Simple Search’ and ‘Advanced Search’, along with a ‘Browse’ option to data download, are present for the ease of users. Three distinct modules viz. ‘BLASTN’, ‘SW Align’, and ‘Mapping’ are also available for efficient query sequence mapping and alignment to FTs. PFusionDB serves as a crucial resource for delving into the intricate world of fusion transcript in plants, providing researchers with a foundation for further exploration and analysis. Database URL: www.nipgr.ac.in/PFusionDB.
