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饮食代谢组学中数据管理的复杂认识论挑战:评 Littleford-Colquhoun 等人的“饮食 DNA 代谢组学的谨慎原则:常用丰度阈值改变生态解释”(2022 年)。

The complex epistemological challenge of data curation in dietary metabarcoding: Comment on "The precautionary principle and dietary DNA metabarcoding: Commonly used abundance thresholds change ecological interpretation" by Littleford-Colquhoun et al. (2022).

机构信息

School of Biosciences, Cardiff University, Cardiff, UK.

Durrell Wildlife Conservation Trust, Trinity, Jersey, Channel Islands.

出版信息

Mol Ecol. 2022 Nov;31(22):5653-5659. doi: 10.1111/mec.16576. Epub 2022 Jul 2.

Abstract

In their article, Littleford-Colquhoun et al. (2022) advise against using arbitrary relative read abundance (RRA) thresholds (i.e., minimum sequence copy thresholds) for removing low-abundance sequences since they can increase false negative rates in dietary DNA metabarcoding data sets. The main criticisms presented against these widespread methods are that they (i) are arbitrary, often existing as standard values or defined based on researcher-selected delineations, (ii) are subjective, varying between studies and contexts, and, most problematically, (iii) result in the exclusion of true positives, particularly rarely consumed taxa, to the detriment of ecological insight. We commend the authors for presenting a refreshing and timely perspective on this often neglected topic, which is certainly in need of greater discussion following over a decade of significant advances in dietary metabarcoding. In this complex epistemological problem of false positives versus false negatives, we feel that several of the points raised deserve additional discussion. We address these aspects below, including measured approaches to data filtration and consistent representation of RRAs, and we welcome any further discourse to solidify or refute the concepts therein.

摘要

在他们的文章中,Littleford-Colquhoun 等人(2022 年)建议不要使用任意相对读取丰度(RRA)阈值(即最小序列拷贝阈值)来去除低丰度序列,因为它们会增加饮食 DNA 代谢组学数据集的假阴性率。对这些广泛使用的方法提出的主要批评是,它们(i)是任意的,通常作为标准值存在,或者根据研究人员选择的划分来定义,(ii)是主观的,在不同的研究和背景下存在差异,最成问题的是,(iii)导致真阳性被排除在外,特别是很少被食用的分类群,从而损害了对生态的深入了解。我们赞赏作者在这个经常被忽视的话题上提出了一个令人耳目一新且及时的观点,这在饮食代谢组学十多年来取得重大进展之后,确实需要更多的讨论。在这个假阳性与假阴性的复杂认识论问题上,我们认为提出的几点值得进一步讨论。我们在下面讨论了这些方面,包括对数据过滤的测量方法和 RRA 的一致表示,并欢迎任何进一步的讨论来巩固或反驳其中的概念。

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