Balech Bachir, Sandionigi Anna, Manzari Caterina, Trucchi Emiliano, Tullo Apollonia, Licciulli Flavio, Grillo Giorgio, Sbisà Elisabetta, De Felici Stefano, Saccone Cecilia, D'Erchia Anna Maria, Cesaroni Donatella, Casiraghi Maurizio, Vicario Saverio
Istituto di Biomembrane, Bioenergetica e Biotecnologie Molecolari-Consiglio Nazionale delle Ricerche, Bari, Italy.
Dipartimento di Biologia, Università degli studi di Bari 'Aldo Moro', Bari, Italy.
PeerJ. 2018 Jun 13;6:e4845. doi: 10.7717/peerj.4845. eCollection 2018.
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 () 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.
如今,DNA 宏条形码技术是一种强大的工具,它能够通过将 DNA 条形码方法与高通量测序技术相结合,快速发现环境样本中的生物多样性。它主要包括对能够区分生物实体的信息性基因组片段进行并行读取。尽管这种方法已经得到了广泛研究,但在其高级完成过程中所需的一些必要步骤仍需要优化。一个基本要素涉及生物信息学分析流程的标准化。本研究的目的是强调在使用细胞色素氧化酶亚基 I(COI)条形码区域进行 DNA 宏条形码实验时,实验室材料制备和分类学分配流程的一些关键参数,COI 条形码区域是动物物种鉴定的合适分子标记。我们比较了九种分类学分配流程,包括基于隐马尔可夫模型的自定义内部方法。此外,我们评估了 qPCR 中通用引物扩增偏差的潜在影响,以及 GC 含量与分类学分配结果之间的相关性。这些流程在通过陷阱诱捕法从意大利一片栗树林中收集的已知陆地无脊椎动物群落上进行了测试。尽管目前的分析并不详尽,需要进一步研究,但我们的结果表明在实验室材料制备方面有一些潜在的改进,以及在分类学分配流程中引入额外的参数。这些改进包括正确设置 OTU 聚类阈值、校准影响测序质量和分类学分类的 GC 含量,以及评估 PCR 引物扩增偏差对最终生物多样性模式的影响。因此,在 DNA 宏条形码实验常规操作中需要仔细关注并进一步验证/优化上述变量。