The First Genome Survey of the Antarctic Krill (Euphausia superba) Provides a Valuable Genetic Resource for Polar Biomedical Research.
Yuting HuangChao BianZhaoqun LiuLingling WangChanghu XueHongliang HuangYunhai YiXinxin YouWei SongXiang-Zhao MaoLinsheng SongQiong ShiPublished in: Marine drugs (2020)
The world-famous Antarctic krill (Euphausia superba) plays a fundamental role in the Antarctic food chain. It resides in cold environments with the most abundant biomass to support the Antarctic ecology and fisheries. Here, we performed the first genome survey of the Antarctic krill, with genomic evidence for its estimated genome size of 42.1 gigabases (Gb). Such a large genome, however, is beyond our present capability to obtain a good assembly, although our sequencing data are a valuable genetic resource for subsequent polar biomedical research. We extracted 13 typical protein-coding gene sequences of the mitochondrial genome and analyzed simple sequence repeats (SSRs), which are useful for species identification and origin determination. Meanwhile, we conducted a high-throughput comparative identification of putative antimicrobial peptides (AMPs) and antihypertensive peptides (AHTPs) from whole-body transcriptomes of the Antarctic krill and its well-known counterpart, the whiteleg shrimp (Penaeus vannamei; resident in warm waters). Related data revealed that AMPs/AMP precursors and AHTPs were generally conserved, with interesting variations between the two crustacean species. In summary, as the first report of estimated genome size of the Antarctic krill, our present genome survey data provide a foundation for further biological research into this polar species. Our preliminary investigations on bioactive peptides will bring a new perspective for the in-depth development of novel marine drugs.
Keyphrases
- genome wide
- high throughput
- copy number
- electronic health record
- single cell
- dna methylation
- blood pressure
- big data
- cross sectional
- oxidative stress
- gene expression
- machine learning
- amino acid
- risk assessment
- small molecule
- patient safety
- protein protein
- wastewater treatment
- deep learning
- transcription factor
- genetic diversity
- quality improvement
- artificial intelligence
- data analysis
- solid phase extraction
- simultaneous determination
- emergency medicine