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| Comparative Transcriptome Analysis of Different Tissues in Burbot (Lota lota) Based on RNA-seq |
| YANG Tian-Yan1, JIANG Yan-Lin1, HAN Zhi-Qiang1, MENG Wei2* |
1 Fishery College, Zhejiang Ocean University, Zhoushan 316022, China;
2 Marine Fisheries Research Institute of Zhejiang / Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province / Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Zhoushan 316021, China |
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Abstract Burbot (Lota lota) is a cold-water fish with economic value, which is the only freshwater species of Gadiformes. Therefore, it is an important material for studying the evolutionary mechanism of temperature and salinity adaptation. The transcriptome of brain, kidney and liver tissues from L. lota were sequenced based on Illumina Hiseq-2500 high throughput sequencing platform. A total of 20.78 Gb clean data were obtained after removing raw reads by quality control. The high quality clean reads of different tissues were 22 254 637 (brain), 22 843 364 (kidney) and 24 168 330 (liver), respectively. 106 084 unigenes with the average length of 706 bp were assembled by Trinity software. The unigenes were subjected to annotation analysis by matching sequences against related databases. The results showed that 32 745 (30.87%) of these unigenes were significantly matched. In addition, all annotated unigenes were screened against the Gene Ontology (GO) database, in which all the unigenes were divided into 3 categories with 56 branches. The unigenes were divided into 25 categories according to Cluster of Orthologous Groups of Proteins (COG) function classification, and were grouped into 6 categories with 195 classes based on KEGG database. The transcriptome sequencing data and functional annotation in this study will be expected to provide reference materials for the further exploration of the functional genetic resources for L. lota in the future.
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Received: 20 May 2019
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Corresponding Authors:
*mengwei1982@hotmail.com
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