Dataset Information

Regeneration in the Ctenophore Mnemiopsis leidyi: A Transcriptomic Analysis

ABSTRACT: Ctenophores’ amazing capacity of regeneration has fascinated biologists for centuries. The morphological features of ctenophore regeneration have been documented, but the molecular and cellular components behind this phenomenon have remained a mystery. Here, next generation sequencing technologies and transcriptomic analysis are used to investigate the regeneration dynamics in the ctenophore Mnemiopsis leidyi. The resulting data identify multiple signaling pathways that might be involved in ctenophore regeneration. These include evolutionarily conserved pathways, such as Ca2+-dependent and MAP-kinase signaling pathways, that are up regulated during regeneration, as well as genes involved in energetics and cytoskeleton function. The data also show evidence for involvement of dozens of ctenophore specific secretory molecules, their receptors and processing components that are important signal messengers in regeneration. A unique subset of transcription factors were also found to be involved in regeneration which may be upstream regulators of those signaling pathways. In summary, our data indicate that the strategies which ctenophores employ to regenerate use a unique combination of evolutionarily conserved and ctenophore specific signaling components. These data provide novel insights into the mechanisms of regeneration in the earliest branching taxa in Metazoa.

ORGANISM(S): Mnemiopsis leidyi

PROVIDER: GSE75846 | GEO | 2018/01/01

SECONDARY ACCESSION(S): PRJNA305523

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Variability of regenerative potential among animals has long perplexed biologists. Based on their amazing regenerative abilities, planarians have become important models for understanding the molecular basis of regeneration; however, planarian species with limited regenerative abilities are also found. Despite the importance of understanding the differences between closely related, regenerating and non-regenerating organisms, few studies have focused on the evolutionary loss of regeneration, and the molecular mechanisms leading to such regenerative loss remain obscure. Here we examine Procotyla fluviatilis, a planarian with restricted ability to replace missing tissues, utilizing next-generation sequencing to define the gene expression programs active in regeneration-permissive and regeneration-deficient tissues. We found that Wnt signaling is aberrantly activated in regeneration-deficient tissues. Remarkably, down-regulation of canonical Wnt signaling in regeneration-deficient regions restores regenerative abilities: blastemas form and new heads regenerate in tissues that normally never regenerate. This work reveals that manipulating a single signaling pathway can reverse the evolutionary loss of regenerative potential. RNA-seq experiments to identify gene expression changes following amputation in body regions with variable regenerative potential. Adult Procotyla fluviatilis were amputated at sites either anterior or posterior to the pharynx. After 24 hours post-amputation, tissues near the amputation site were excised and RNA was extracted. Similar tissues were excised from uncut control animals. Samples were processed for RNA-seq using Illumina procedures. We generated a de novo P. fluviatilis transcriptome and used RNA sequencing (RNA-seq) to characterize transcripts from excised tissue fragments in Reg+ and Reg- body regions 24 hours post-amputation. We performed parallel analyses on tissues excised from intact animals at identical body regions to account for regional differences in transcripts, thereby identifying changes resulting from amputation. Samples A1-A3 = Regeneration-proficient (Reg+) tissue excision 24 hours after amputation. Samples B1-B3 = Tissue excision from regeneration-proficient (Reg+) region but not amputated. Samples C1-C3 = Tissue excision from regeneration-deficient (Reg-) tissues 24 hours after amputation. Samples D1, D3-D4 = Tissue excision from regeneration-deficient (Reg-) region that was not amputated.

Dataset Information

Regeneration in the Ctenophore Mnemiopsis leidyi: A Transcriptomic Analysis

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure