인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Understanding how interactive environmental challenges affect marine species is critical to long-term ecological and economic stability under global change. Marine calcifiers are thought to be vulnerable to ocean acidification (OA; elevated <i>p</i>CO<sub>2</sub>); active dissolution of aragonite (Ω<i>ar</i>) is associated with disrupted development, survivorship, and gene expression in bivalve larvae, resulting in an early life-stage bottleneck. Dynamic carbonate chemistry in coastal systems emphasizes the importance of multiple stressors, e.g., warming and low salinity events may change organismal responses relative to OA alone. We exposed Eastern oyster larvae (<i>Crassostrea virginica</i>) to a full-factorial experimental design using two temperatures (23°C and 27°C), salinities (17 and 27), and <i>p</i>CO<sub>2</sub> levels (~700 μatm and 1850 μatm <i>p</i>CO<sub>2</sub>), resulting in Ω<i>ar</i> conditions 0.3-1.7. Ω<i>ar</i> reduced by low salinity, elevated <i>p</i>CO<sub>2</sub>, and low temperature, each slowed early development and reduced survival. Low salinity × elevated <i>p</i>CO<sub>2</sub> was linked to severe Ω<i>ar</i> undersaturation (< 0.5) that suppressed expression of bicarbonate transport, biomineralization and augmented expression for ciliary locomotion, proteostasis, and histone modifiers. In isolation and under moderate Ω<i>ar</i> intensity (0.5 < Ω<i>ar</i> < 1), larvae increased transcription for osmoregulatory activity and endocytosis under low salinity, and suppressed transcription for iron metabolism under elevated <i>p</i>CO<sub>2</sub>. Although shell growth and survival were affected by Ω<i>ar</i> undersaturation, gene expression patterns of D-stage oyster larvae and oyster juveniles suggests tolerance to dynamic estuarine environments. Genes and expression patterns that confer survival of postmetamorphosed oysters can improve our understanding of environmental-organismal interactions and improve breeding programs enabling sustainable production.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.