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通用引物的选择和物种混合物的特征决定了 DNA metabarcoding 何时可以进行定量分析。

The choice of universal primers and the characteristics of the species mixture determine when DNA metabarcoding can be quantitative.

机构信息

Universitat Autònoma Barcelona, Cerdanyola del Vallès, Spain.

CREAF, Cerdanyola del Vallès, Spain.

出版信息

Mol Ecol. 2019 Jan;28(2):407-419. doi: 10.1111/mec.14776. Epub 2018 Jul 9.

Abstract

DNA metabarcoding is a technique used to survey biodiversity in many ecological settings, but there are doubts about whether it can provide quantitative results, that is, the proportions of each species in the mixture as opposed to a species list. While there are several experimental studies that report quantitative metabarcoding results, there are a similar number that fail to do so. Here, we provide the rationale to understand under what circumstances the technique can be quantitative. In essence, we simulate a mixture of DNA of S species with a defined initial abundance distribution. In the simulated PCR, each species increases its concentration following a certain amplification efficiency. The final DNA concentration will reflect the initial one when the efficiency is similar for all species; otherwise, the initial and final DNA concentrations would be poorly related. Although there are many known factors that modulate amplification efficiency, we focused on the number of primer-template mismatches, arguably the most important one. We used 15 common primers pairs targeting the mitochondrial COI region and the mitogenomes of ca. 1,200 insect species. The results showed that some primers pairs produced quantitative results under most circumstances, whereas some other primers failed to do so. In conclusion, depending on the primer pair used in the PCR amplification and on the characteristics of the mixture analysed (i.e., high species richness, low evenness), DNA metabarcoding can provide a quantitative estimate of the relative abundances of different species.

摘要

DNA 代谢条形码技术是一种用于调查许多生态环境中生物多样性的技术,但人们对它是否能提供定量结果(即混合物中每种物种的比例,而不是物种清单)存在疑虑。虽然有几项实验研究报告了定量代谢条形码结果,但也有类似数量的研究未能做到这一点。在这里,我们提供了理解该技术在什么情况下可以定量的基本原理。本质上,我们模拟了 S 个物种的 DNA 混合物,具有定义的初始丰度分布。在模拟的 PCR 中,每个物种根据一定的扩增效率增加其浓度。当所有物种的效率相似时,最终 DNA 浓度将反映初始浓度;否则,初始和最终 DNA 浓度的相关性较差。尽管有许多已知的因素会调节扩增效率,但我们专注于引物 - 模板错配的数量,这可以说是最重要的因素。我们使用了 15 对针对线粒体 COI 区域和大约 1200 种昆虫线粒体基因组的通用引物对。结果表明,在大多数情况下,一些引物对产生了定量结果,而其他一些引物则没有。总之,取决于 PCR 扩增中使用的引物对以及分析混合物的特征(即高物种丰富度、低均匀度),DNA 代谢条形码可以提供不同物种相对丰度的定量估计。

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