ArticleData in brief2016
Data set for transcriptome analysis of the Chinese giant salamander (Andrias davidianus ).
Article in Data in brief, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Using transcriptomics to enable a plethodontid salamander (Bolitoglossa ramosi) for limb regeneration research.BMC genomics · 2018Article
- Transcriptome analysis of the Chinese giant salamander (Genomics data · 2017Article
- Sequencing and de novo transcriptome assembly of the Chinese giant salamander (Genomics data · 2017Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Chinese giant salamander (Andrias davidianus) occupies a seat at the phylogenetic and species evolution process, which makes it an invaluable model for genetics; however, the genetic information and gene sequences about the Chinese giant salamander in public databases are scanty. Hence, we aimed to perform transcriptome analysis with the help of high-throughput sequencing. In this data, 61,317,940 raw reads were acquired from Chinese giant salamander mRNA using Illumina paired-end sequencing platform. After de novo assembly, a total of 72,072 unigenes were gained, in which 33,834 (46.95%) and 29,479 (40.91%) transcripts exhibited homology to sequences in the Nr database and Swiss-Prot database, (E-value <10(-5)), respectively. In the obtained unigenes, 18,019 (25%) transcripts were assigned with at least one Gene Ontology term, of which 1218 (6.8%) transcripts were assigned to immune system processes. In addition, a total of 17,572 assembled sequences were assigned into 241 predicted KEGG metabolic pathways. Among these, 2552 (14.5%) transcripts were assigned to the immune system relevant pathway and 5 transcripts were identified as potential antimicrobial peptides (AMPs).
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