De novo transcriptome dataset of a Mayorella species isolated from deep sea
Wenli Guo, Xiaoli Lei, Chen Liang, Jianming Chen
TL;DR
This paper presents a detailed transcriptome dataset of a deep-sea amoeba species, Mayorella marianaensis, providing insights into its genetic makeup and biological functions.
Contribution
The study provides the first de novo transcriptome dataset for a deep-sea Mayorella species, offering a valuable resource for non-model amoeba research.
Findings
The transcriptome consists of 57,459,544 transcripts with a mean length of 1646 and N50 length of 1170.
Signal transduction, transport and catabolism, and translation are the most annotated functional pathways.
The transcriptome completeness is 67.4% as assessed by BUSCO.
Abstract
Mayorella marianaensis (Amoebozoa: Discosea) was the only Mayorella species isolated from deep sea (over 3000 m-depth). We firstly present a transcriptomic analysis of the non-model amoeba species collected from the Mariana Trench area. Illumina sequencing platform was used to generate data which including raw data, cleaned reads, de novo assembly, and functional annotation. After assembly, the final transcriptome consists of 57,459,544 transcripts with a mean length of 1646 and N50 length of 1170. The transcriptome has a completeness of 67.4 % as assessed by BUSCO. Functional annotation pathways related to signal transduction, transport and catabolism, and translation are the most annotated in the transcriptome.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsMicrobial Community Ecology and Physiology · Genomics and Phylogenetic Studies · Aquaculture disease management and microbiota