Abstract

Nowadays DNA meta-barcoding is a powerful instrument capable of quickly discovering the biodiversity of an environmental sample by integrating the DNA barcoding approach with High Throughput Sequencing technologies. It mainly consists of the parallel reading of informative genomic fragment/s able to discriminate living entities. Although this approach has been widely studied, it still needs optimization in some necessary steps requested in its advanced accomplishment. A fundamental element concerns the standardization of bioinformatic analyses pipelines. The aim of the present study was to underline a number of critical parameters of laboratory material preparation and taxonomic assignment pipelines in DNA meta-barcoding experiments using the cytochrome oxidase subunit-I (coxI) barcode region, known as a suitable molecular marker for animal species identification. We compared nine taxonomic assignment pipelines, including a custom in-house method, based on Hidden Markov Models. Moreover, we evaluated the potential influence of universal primers amplification bias in qPCR, as well as the correlation between GC content with taxonomic assignment results. The pipelines were tested on a community of known terrestrial invertebrates collected by pitfall traps from a chestnut forest in Italy. Although the present analysis was not exhaustive and needs additional investigation, our results suggest some potential improvements in laboratory material preparation and the introduction of additional parameters in taxonomic assignment pipelines. These include the correct setup of OTU clustering threshold, the calibration of GC content affecting sequencing quality and taxonomic classification, as well as the evaluation of PCR primers amplification bias on the final biodiversity pattern. Thus, careful attention and further validation/optimization of the above-mentioned variables would be required in a DNA meta-barcoding experimental routine.

Highlights

  • The introduction of DNA barcoding (Hebert, Ratnasingham & DeWaard, 2003) shed new light on the identification process of many life forms on earth leading to a wider comprehension of many ecosystems both aquatic and terrestrial (Aylagas, Borja & Rodriguez-Ezpeleta, 2014; Comtet et al, 2015)

  • Considering two control samples of known metazoan organisms, we addressed some of the parameters potentially influencing the outcomes of a cytochrome oxidase subunit-I (coxI) metabarcoding experiment

  • It can be argued that we did not perform a massive validation on a wide range of samples and on other molecular barcode markers except coxI

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Summary

Introduction

The introduction of DNA barcoding (Hebert, Ratnasingham & DeWaard, 2003) shed new light on the identification process of many life forms on earth leading to a wider comprehension of many ecosystems both aquatic and terrestrial (Aylagas, Borja & Rodriguez-Ezpeleta, 2014; Comtet et al, 2015). DNA barcoding was originally designed to identify single organisms, but scientific progresses have adapted it to a new but similar technique called ‘‘DNA meta-barcoding’’. Supported by the High Throughput Sequencing (HTS) technologies (Bik et al, 2012; Shokralla et al, 2012), DNA meta-barcoding is revolutionizing ecological studies by expanding the information on ecosystem biodiversity (Kajtoch, 2014). This innovative tool is widely used for monitoring purposes such as invasive species control (Comtet et al, 2015). Its ability to identify fungi (Bellemain et al, 2013), plants (Quemere et al, 2013), chromista (Nanjappa et al, 2014), bacteria (Sogin et al, 2006) and metazoans (Leray & Knowlton, 2015) from the same sample or ecological area is of great importance to understand natural connections among these life forms and to plan ecosystem monitoring and/or biodiversity conservation programs (Ji et al, 2013)

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