Adaptive Divergence and Functional Convergence: The Evolution of Pulmonary Gene Expression in Amphibians of the Qingzang Plateau

生物 遗传分化 适应(眼睛) 基因表达 高原(数学) 基因 进化生物学 生态学 遗传变异 两栖动物 遗传多样性 遗传学 数学分析 人口 神经科学 人口学 社会学 数学
作者
Liming Chang,Wei Zhu,Qiheng Chen,Chunlin Zhao,Lulu Sui,Cheng Shen,Qunde Zhang,Bin Wang,Jianping Jiang
出处
期刊:Molecular Ecology [Wiley]
卷期号:34 (5): e17663-e17663 被引量:2
标识
DOI:10.1111/mec.17663
摘要

The Qingzang Plateau, with its harsh environmental conditions-low oxygen, high ultraviolet radiation and significant temperature fluctuations-demands specialised adaptations for survival. While genetic adaptations have been extensively studied, gene expression's role in amphibian adaptation to high elevations remains understudied. This study analysed pulmonary gene expression in 119 amphibians across the plateau to explore how genetic and environmental factors shape expression evolution. Transcriptomic analyses revealed significant interspecies variation, driven by environmental factors like temperature, oxygen levels, UVB radiation and precipitation. Principal Component and Mantel analyses found no significant correlation between gene expression divergence and genetic distance. Instead, species-specific traits and environmental pressures were pivotal in shaping expression patterns. PERMANOVA analysis showed environmental factors had varying impacts on species. For instance, Bufo gargarizans exhibited a strong gene expression response to multiple environmental factors, while Scutiger boulengeri was less influenced, reflecting diverse adaptive strategies. Functional enrichment analysis highlighted convergence in key biological processes, such as energy metabolism, apoptosis and autophagy, despite species-specific gene expression differences. These processes are critical for surviving the plateau's extremes. The findings suggest that gene expression evolution in amphibians on the Qingzang Plateau is shaped by both genetic diversity and environmental pressures. Although gene expression profiles vary, they converge on essential functions, offering insights into adaptation mechanisms in extreme environments.
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