Transcriptome analysis of the growth performance of hybrid mandarin fish after food conversion

During recent years, China has become a hotspot for the domestication of mandarin fish, and this is of great commercial value. Although the food preference of domesticated mandarin fish has been studied, little is known about genes regulating their growth. We raised hybrid mandarin fish on artificial feed for 3 months, the results showed that the survival rate of hybrid mandarin fish was 60.00%. Their total length and body weight were 18.34 ±0.43 cm and 100.44 ±4.87 g. The absolute length and weight gain rates were 0.14 cm/d and 1.08 g/d, respectively. Finally, RNA sequencing (RNA-Seq) was performed to identify potential genes and pathways activated in response to growth performance. The transcriptome analysis generated 68, 197 transcripts and 45,871 unigenes. Among them, 1025 genes were up-regulated and 593 genes were down-regulated between the fast- and slow-growth fish. Finally, we obtained 32 differentially expressed genes, which were mainly related to fatty acid biosynthesis (e.g. FASN and ACACB), collecting duct acid secretion (e.g. ATP6E and KCC4), cell cycle (e.g. CDC20 and CCNB), and the insulin-like growth factor (IGF) system (IGFBP1). These pathways might be related to the growth of hybrid mandarin fish. In addition, more potential single nucleotide polymorphisms (SNPs) were detected in the fast-growth fish than in the slow-growth fish. The results suggest that the interaction of metabolism and abundant alleles might determine the growth of hybrid mandarin fish after food conversion.

Isolation of novel microsatellite markers and their application for genetic diversity and parentage analyses in sika deer

Every part of the sika deer (Cervus nippon) body is valuable traditional Chinese medicine. And sika deer is the most important semi-domestic medicinal animal that is widely bred in Jilin province northeast of China. But few studies had been conducted to characterize the microsatellite markers derived from sika deer. We firstly used IlluminaHiSeq™2500 sequencing technology obtained 125Mbp genomic data of sika deer. Using microsatellite identification tool (MISA), 22,479 microsatellites were identified. From these data, 100 potential primers were selected for further polymorphic validation, finally, 76 primer pairs were successfully amplified and 29 primer pairs were found to be obvious polymorphic in 8 different individuals. Using those polymorphic microsatellite markers, we analyzed the genetic diversity of Jilin sika deer population. The mean number of alleles of the 29 loci is 9.31 based on genotyping blood DNA from 96 Jilin sika deer; The mean expected heterozygosity and polymorphic information content (PIC) value of the 29 loci is 0.72 and 0.68 respectively, and among which 26 loci are highly polymorphic (PIC>0.50). According to the electrophoretic results and PIC value of these 29 loci, 10 loci with combined paternity exclusion probabilities>99.99% were selected to use in parentage verification for 16 sika deer. All the offspring of a family could be successfully assigned to their biological father. These microsatellite markers generated in this study could greatly facilitate future studies of molecular breeding in sika deer.