Project description:Green hydra (Hydra viridissima) harbors endosymbiotic Chlorella and have established a mutual relation. To identify the host hydra genes involved in the specific symbiotic relationship, transcriptomes of intact H. viridissima colonized with symbiotic Chlorella strain A99, aposymbiotic H.viridissima and H. viridissima artificially infected with other symbiotic Chlorella were compared by microarray analysis. The results indicated that genes involved in nutrition supply to Chlorella were upregulated in the symbiotic hydra. In addition, it was induced by supply of photosynthates from the symbiont to the host, suggesting cooperative metabolic interaction between the host and the symbiotic algae.
Project description:Hydra have a remarkable ability to regenerate after bisection or dissociation. Thus, Hydra is a unique model for studying the mechanisms underlying stemness and self renewal biology. The regeneration of Hyrda offers unique way to investigate molecular mechanisms leading to the establishment of organizer activity during animal development. Here we have investigated the genome-wide occurrence of RNA Polymearse II and Histone H3 in Hydra vulgaris.
Project description:Short-read RNA sequencing (RNAseq) remains a cornerstone for transcriptome profiling, but is limited in reconstructing full-length transcripts and capturing transcript diversity. While long-read RNAseq spans entire transcripts and resolves complex structures, this technology is hindered by its high error rates. In parallel, noncoding RNA transcripts remain underrepresented in current references. Here, we present HyDRA (Hybrid de novo RNA Assembly), a pipeline that integrates the accuracy of short reads with the structural resolution of long reads to produce more complete de novo transcriptome assemblies. Benchmarking showed HyDRA to outperform existing methods by up to 40%. Using the HyDRA human ovarian metatranscriptome, we identified >50,000 high-confidence long noncoding RNAs, most of which have not been previously detected using traditional methods. Although long-read RNAseq is advancing, the vast availability of short reads ensures HyDRA’s ongoing role in capturing high-confidence, cell-type specific transcripts and advancing our understanding of transcriptomic complexity and the noncoding genome.
