Identification of novel differentially expressed zooxanthellal genes from Aiptasia-Symbiodinium endosymbiosis through SDS-based RNA purification
Chen, B.-N.; Song, P.; Chen, M.-C.; Hong, M.-C.
Show abstract
Endosymbiosis between dinoflagellates and cnidarian hosts first occurred more than 200 million years ago; however, symbiosis-specific genes and cellular processes involved in the establishment, maintenance, and breakdown of endosymbiosis remain unclear. Therefore, this study aimed to identify the zooxanthellal genes associated with the aforementioned biological processes during endosymbiosis in Aiptasia-Symbiodinium endosymbionts. Here, zooxanthellae isolates were treated with 0.02% SDS to decrease potential host RNA contamination and to enhance the identification of novel symbiosis/nonsymbiosis-associated differentially expressed zooxanthellal genes through suppressive subtractive hybridization (SSH) and next-generation sequencing (NGS) methods. Consequently, among 214 symbiosis-specific transcripts identified herein that displayed identity to only 5.6% of host-derived transcripts, 64% were well-known functional genes. In the nonsymbiotic stage, 181 differentially expressed transcripts were identified, of which 64.1% belonged to well-known functional genes. BLAST revealed that 8 categories of cellular processes were significantly induced in symbiotic or nonsymbiotic zooxanthellae. Together with the results of quantitative analysis, the results revealed that photosynthesis, flagellate biosynthesis and motility, stress-induced responses, cell wall biosynthesis, starch synthesis and transport, lipid biosynthesis and metabolism, host/symbiont immune response, intercellular communication, cell growth, and cell cycle regulation were the major cellular processes occurring in symbiotic/nonsymbiotic stages. The present results provide insights into the mechanisms involved in regulating the different physiological processes in symbiotic/nonsymbiotic zooxanthellae and may guide future studies.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Differential Gene Expression Analysis and Cytological Evidence Reveal a Sexual Stage of an Amoeba with Multiparental Cellular and Nuclear Fusion 97%
- Assembly and comparative analysis of the complete mitochondrial genome of three Macadamia species (M. integrifolia, M. ternifolia and M. tetraphylla) 95%
- Genomic diversity of 39 samples of Pyropia species grown in Japan 95%
Similar papers in this journal
- Gut microbial communities associated with phenotypically divergent populations of the striped stem borer Chilo suppressalis 95%
- Neuro-molecular characterization of fish cleaning interactions 94%
- Next generation taxonomy: integrating traditional species description with the holobiont concept and genomic approaches - The in-depth characterization of a novel Euplotes species as a case study 93%
Similar papers in this journal
- Expanding the Egbenema Horizon: Novel Species Discovery in India and First Complete Genome Assembly of the Genus 93%
- Combining AFM, XPS and chemical hydrolysis to understand the complexity and dynamics of C. vulgaris cell wall composition and architecture 93%
- Adaptation of the Chlorella photosynthetic electron transport chain to environmental light conditions 92%
Similar papers in this journal
- VelA and LaeA are key regulators of the Epichloë festucae transcriptomic response during symbiosis with perennial ryegrass 95%
- Adaptation of cyanobacteria to the endolithic light spectrum in hyper-arid deserts 95%
- Dinoflagellate Proton-Pump Rhodopsin Gene in Long Island Sound: Diversity and Spatiotemporal Distribution 94%
Similar papers in this journal
- The Molecular Mass and Isoelectric Point of Plant Proteomes 94%
- Gene co-expression networks identify novel candidate genes for moulting and development in the Atlantic salmon louse (Lepeophtheirus salmonis) 94%
- Comprehensive analysis of 111 Pleuronectiformes mitochondrial genomes: insights into structure, conservation, variation and evolution 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.