کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8646371 | 1570112 | 2017 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Transcriptome analysis of the Chinese giant salamander (Andrias davidianus) using RNA-sequencing
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
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![عکس صفحه اول مقاله: Transcriptome analysis of the Chinese giant salamander (Andrias davidianus) using RNA-sequencing Transcriptome analysis of the Chinese giant salamander (Andrias davidianus) using RNA-sequencing](/preview/png/8646371.png)
چکیده انگلیسی
The Chinese giant salamander (Andrias davidianus) is an economically important animal on academic value. However, the genomic information of this species has been less studied. In our study, the transcripts of A. davidianus were obtained by RNA-seq to conduct a transcriptomic analysis. In total 132,912 unigenes were generated with an average length of 690Â bp and N50 of 1263Â bp by de novo assembly using Trinity software. Using a sequence similarity search against the nine public databases (CDD, KOG, NR, NT, PFAM, Swiss-prot, TrEMBL, GO and KEGG databases), a total of 24,049, 18,406, 36,711, 15,858, 20,500, 27,515, 36,705, 28,879 and 10,958 unigenes were annotated in databases, respectively. Of these, 6323 unigenes were annotated in all database and 39,672 unigenes were annotated in at least one database. Blasted with KEGG pathway, 10,958 unigenes were annotated, and it was divided into 343 categories according to different pathways. In addition, we also identified 29,790 SSRs. This study provided a valuable resource for understanding transcriptomic information of A. davidianus and laid a foundation for further research on functional gene cloning, genomics, genetic diversity analysis and molecular marker exploitation in A. davidianus.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Genomics Data - Volume 14, December 2017, Pages 126-131
Journal: Genomics Data - Volume 14, December 2017, Pages 126-131
نویسندگان
Yong Huang, Jian Li Xiong, Xiao Chan Gao, Xi Hong Sun,