수온이 대서양 연어 (Salmo salar) 치어의 체내 스트레스 관련 유전자 발현에 미치는 영향

국문 초록 (Abstract)

기후 변화로 인한 수온의 상승은 어류 서식지에 영향을 미친다. 수온의 변화는 어류 생리 거의 모든 부분에 영향을 미치는 것으로 알려져 있다. 기후 변화에 따른 수온의 상승은 산소 용해도의 감소 및 산소 운반 헤모글로빈의 결합 능 력의 감소로 인해 저산소증을 초래할 수 있다. 본 연구는 대서양 연어 (Salmo salar) 치어 성장의 최적수온 (15°C)보다 고 수온 (20°C)에 사육 시, 대서양 연어 치어의 건강상태를 평가 하기 위해 수행되었다. 평가 방법은 NGS RNAseq 분석방법을 이용하여 생체지표유전자를 개발하고, RT-qPCR 분석을 이용하여 생체지표유전자의 발현양상을 조사하는 것이다. 개발한 생체지표유전자로는 interferon alpha-inducible protein 27-like protein 2A transcript variant X3, protein L-Myc- 1b-like, placenta growth factor-like transcript variant X1, fibroblast growth factor receptor-like 1 transcript variant X1, transferrin, intelectin, thioredoxin-like, c-type lectin lectoxin-Thr1- like, ladderlectin-like 및 calponin-1 등이다. 선택된 생체지표 유전자는 NGS RNAseq 분석을 통해 수온변화에 민감하게 발현한 유전자들이며, RT-qPCR 분석을 통한 이들 유전자의 발현 양상은 NGS RNAseq 분석을 통한 발현 양상과 매우 유사하게 나타났다.

다국어 초록 (Multilingual Abstract)

The warming of water as a result of climate change affects fish habitat. Variations in water temperature affect fish physiology almost totally. The rise in water temperature due to climate change leads to hypoxia following decreased oxygen solubility and decreased binding capacity of oxygen-carrying hemoglobin. This study was conducted to evaluate the health status of Atlantic salmon (Salmo salar) fry at elevated water temperatures (20°C) compared with optimum water temperature (15°C). The method facilitated the detection of biomarker genes using NGS RNAseq analysis and evaluation of their expression pattern using RT-qPCR analysis. The biomarker genes included interferon alpha-inducible protein 27-like protein 2A transcript variant X3, protein L-Myc-1b-like, placenta growth factor-like transcript variant X1, fibroblast growth factor receptor- like 1 transcript variant X1, transferrin, intelectin, thioredoxin-like, c-type lectin lectoxin- Thr1-like, ladderlectin-like and calponin-1. The selected biomarker genes were sensitive to changes in water temperature based on NGS RNAseq analysis. The expression patterns of these genes based on RT-qPCR were similar to those of NGS RNAseq analysis.

목차 (Table of Contents)

• Abstract
• 서 론
• 재료 및 방법
• 1. 실험동물
• 2. Total RNA 추출
• 3. NGS RNAseq 데이터를 이용한 생체지표유전자 발굴
• 4. 역전사중합효소연쇄반응 (RT-qPCR)
• 5. 통계학적 분석
• 결과 및 고 찰
• 적 요
• REFERENCES

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