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序列深度而非PCR复制可改善从下一代DNA测序得出的生态推断。

Sequence depth, not PCR replication, improves ecological inference from next generation DNA sequencing.

作者信息

Smith Dylan P, Peay Kabir G

机构信息

Department of Biology, Stanford University, Stanford, California, United States of America.

出版信息

PLoS One. 2014 Feb 28;9(2):e90234. doi: 10.1371/journal.pone.0090234. eCollection 2014.

Abstract

Recent advances in molecular approaches and DNA sequencing have greatly progressed the field of ecology and allowed for the study of complex communities in unprecedented detail. Next generation sequencing (NGS) can reveal powerful insights into the diversity, composition, and dynamics of cryptic organisms, but results may be sensitive to a number of technical factors, including molecular practices used to generate amplicons, sequencing technology, and data processing. Despite the popularity of some techniques over others, explicit tests of the relative benefits they convey in molecular ecology studies remain scarce. Here we tested the effects of PCR replication, sequencing depth, and sequencing platform on ecological inference drawn from environmental samples of soil fungi. We sequenced replicates of three soil samples taken from pine biomes in North America represented by pools of either one, two, four, eight, or sixteen PCR replicates with both 454 pyrosequencing and Illumina MiSeq. Increasing the number of pooled PCR replicates had no detectable effect on measures of α- and β-diversity. Pseudo-β-diversity - which we define as dissimilarity between re-sequenced replicates of the same sample - decreased markedly with increasing sampling depth. The total richness recovered with Illumina was significantly higher than with 454, but measures of α- and β-diversity between a larger set of fungal samples sequenced on both platforms were highly correlated. Our results suggest that molecular ecology studies will benefit more from investing in robust sequencing technologies than from replicating PCRs. This study also demonstrates the potential for continuous integration of older datasets with newer technology.

摘要

分子方法和DNA测序的最新进展极大地推动了生态学领域的发展,并使人们能够以前所未有的详细程度研究复杂群落。新一代测序(NGS)能够揭示关于隐秘生物的多样性、组成和动态的有力见解,但结果可能对许多技术因素敏感,包括用于生成扩增子的分子操作、测序技术和数据处理。尽管某些技术比其他技术更受欢迎,但在分子生态学研究中对它们所带来的相对益处进行明确测试的情况仍然很少。在这里,我们测试了PCR重复次数、测序深度和测序平台对从土壤真菌环境样本得出的生态推断的影响。我们对从北美松树生物群落采集的三个土壤样本进行了重复测序,每个样本分别有1个、2个、4个、8个或16个PCR重复样本池,同时使用454焦磷酸测序和Illumina MiSeq进行测序。增加合并的PCR重复样本数量对α多样性和β多样性指标没有可检测到的影响。伪β多样性(我们将其定义为同一样本重新测序重复样本之间的差异)随着采样深度的增加而显著降低。Illumina测序恢复的总丰富度显著高于454测序,但在两个平台上对大量真菌样本进行测序时,α多样性和β多样性指标高度相关。我们的结果表明,分子生态学研究从投资强大的测序技术中获得的益处将比从重复PCR中更多。这项研究还证明了将旧数据集与新技术持续整合的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf2/3938664/0aeb2d8e7ce7/pone.0090234.g001.jpg

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