数字聚合酶链反应                        
                
                                
                        
                            线粒体DNA                        
                
                                
                        
                            生物                        
                
                                
                        
                            精子                        
                
                                
                        
                            重复性                        
                
                                
                        
                            实时聚合酶链反应                        
                
                                
                        
                            遗传学                        
                
                                
                        
                            计算生物学                        
                
                                
                        
                            分子生物学                        
                
                                
                        
                            聚合酶链反应                        
                
                                
                        
                            化学                        
                
                                
                        
                            基因                        
                
                                
                        
                            色谱法                        
                
                        
                    
            作者
            
                Laima Bagdonaitė,Erica H. Leder,Jan T. Lifjeld,Arild Johnsen,Quentin Mauvisseau            
         
                    
            出处
            
                                    期刊:PeerJ
                                                         [PeerJ, Inc.]
                                                        日期:2025-04-11
                                                        卷期号:13: e19278-e19278
                                                        被引量:2
                                 
         
        
    
            
        
                
            摘要
            
            Mitochondrial DNA (mtDNA) copy number varies across species, individuals, and cell types. In birds, there are two types of cells with a relatively low number of mitochondria: red blood cells and spermatozoa. Previous studies investigating variation of mitochondrial abundance in animal sperm have generally used quantitative PCR (qPCR), but this method shows potential limitations when quantifying targets at low abundance. To mitigate such issues, we investigated and compared the reliability and accuracy of qPCR, digital PCR (dPCR) and droplet digital PCR (ddPCR) to quantify high and low concentration DNA. We used synthetic DNA targets, to calculate the limit of detection and the limit of quantification and found that with both dPCR and ddPCR, these limits were lower than with qPCR. Then, to compare quantification accuracy and repeatability, we used DNA extracted from blood and sperm cells of Eurasian siskin. We found that qPCR, dPCR and ddPCR all reliably quantified mitochondrial DNA in sperm samples but showed significant differences when analyzing the typically lower levels of mtDNA in blood, with ddPCR consistently showing lower variation among replicates. Our study provides critical insights and recommendations for future studies aiming to quantify target mtDNA and indicates that dPCR and ddPCR are the preferred methods when working with samples with low abundance of mtDNA.
         
            
 
                 
                
                    
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