High-Throughput Identification of Antimicrobial Peptides from Amphibious Mudskippers.
Yunhai YiXinxin YouChao BianShixi ChenZhao LvLimei QiuQiong ShiPublished in: Marine drugs (2017)
Widespread existence of antimicrobial peptides (AMPs) has been reported in various animals with comprehensive biological activities, which is consistent with the important roles of AMPs as the first line of host defense system. However, no big-data-based analysis on AMPs from any fish species is available. In this study, we identified 507 AMP transcripts on the basis of our previously reported genomes and transcriptomes of two representative amphibious mudskippers, Boleophthalmus pectinirostris (BP) and Periophthalmus magnuspinnatus (PM). The former is predominantly aquatic with less time out of water, while the latter is primarily terrestrial with extended periods of time on land. Within these identified AMPs, 449 sequences are novel; 15 were reported in BP previously; 48 are identically overlapped between BP and PM; 94 were validated by mass spectrometry. Moreover, most AMPs presented differential tissue transcription patterns in the two mudskippers. Interestingly, we discovered two AMPs, hemoglobin β1 and amylin, with high inhibitions on Micrococcus luteus. In conclusion, our high-throughput screening strategy based on genomic and transcriptomic data opens an efficient pathway to discover new antimicrobial peptides for ongoing development of marine drugs.
Keyphrases
- big data
- high throughput
- mass spectrometry
- particulate matter
- artificial intelligence
- single cell
- machine learning
- air pollution
- risk assessment
- polycyclic aromatic hydrocarbons
- climate change
- transcription factor
- high resolution
- electronic health record
- cross sectional
- rna seq
- gene expression
- deep learning
- copy number
- dna methylation
- water soluble
- red blood cell
- water quality