生物
适应(眼睛)
进化生物学
线粒体DNA
自然选择
基因组
遗传变异
遗传学
选择(遗传算法)
线粒体
局部适应
计算生物学
表型
压力源
航程(航空)
候选基因
否定选择
基因组学
平衡选择
核糖体RNA
模式生物
疾病
三域系统
基因
遗传变异
人类遗传变异
粒线体疾病
系统发育学
遗传适应性
生殖系
作者
Finley Grover-Thomas,Lucy van Dorp,Francois Balloux,Aida M. Andrés,M Florencia Camus
标识
DOI:10.1093/molbev/msag044
摘要
Mitochondria are essential for cellular energy production and biosynthesis, thermogenesis, and cell signaling, and thus help coordinate physiological responses to changing environments. Humans (Homo sapiens) have adapted to cope with a wide range of climatic conditions, however the role of the mitochondrial genome (mtDNA) in mediating this process remains poorly understood. Here, we curated a dataset of 19,570 publicly available full human mitochondrial genomes, an approximate 40-fold increase on earlier studies, paired with modern climate and reconstructed paleoclimate variables. Using a Generalized Linear Model approach, we identify 18 independent candidate variants significantly associated with climatic conditions, suggesting local adaptation in human mitochondrial genomes. Candidate variants are distributed across multiple loci in regulatory, tRNA, rRNA and protein-coding regions-including prominently in ND2 and ND4 complex I subunits. Specific variants are predicted to impact mtDNA transcription, ribosome or protein structure, and multiple have been associated with disease pathologies. We further show that candidate variant genotype distributions are each best modeled by different paleo-bioclimatic variables, consistent with environmental stressors linked to our measured variables exerting subtly distinct selective effects. These stressors may reflect dietary changes or different thermogenic demands at lower temperatures. Our results provide genetic evidence to support the accumulating body of work from functional studies that mitochondria can modulate adaptation to diverse environments. This work underscores the importance of mtDNA in evolutionary biology and its relevance for understanding both disease and physiological variation in global populations.
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