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首页> 外文期刊>ICES Journal of Marine Science >Metabarcoding as a quantitative tool for estimating biodiversity and relative biomass of marine zooplankton
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Metabarcoding as a quantitative tool for estimating biodiversity and relative biomass of marine zooplankton

机译:以估算海洋浮游动物的生物多样性和相对生物量的定量工具来沟通

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摘要

Y Although metabarcoding is a well-established tool for describing diversity of pelagic communities, its quantitative value is still controversial, with poor correlations previously reported between organism abundance/biomass and sequence reads. In this study, we explored an enhanced quantitative approach by metabarcoding whole zooplankton communities using a highly degenerate primer set for the mitochondrial marker cytochrome oxidase I and compared the results to biomass estimates obtained using the traditional morphological approach of processing zooplankton samples. As expected, detected species richness using the metabarcoding approach was 3-4 times higher compared to morphological processing, with the highest differences found in the meroplankton fraction. About 75% of the species identified using microscopy were also recovered in the metabarcoding run. Within the taxa detected using both approaches, the relative numbers of sequence counts showed a strong quantitative relationship to their relative biomass, estimated from length-weight regressions, for a wide range of metazoan taxa. The highest correlations were found for crustaceans and the lowest formeroplanktonic larvae. Our results show that the reported approach of using ametabarcoding marker with improved taxonomic resolution, universal coverage formetazoans, reduced primer bias, and availability of a comprehensive reference database, allow for rapid and relatively inexpensive processing of hundreds of samples at a higher taxonomic resolution than traditional zooplankton sorting. The described approach can therefore be widely applied for monitoring or ecological studies.
机译:Y虽然Metabarcoding是一种熟悉的用于描述Pelagic社区的多样性的工具,但其定量值仍存在争议,并且在生物丰度/生物质和序列之间先前报道了差的相关性差。在这项研究中,我们通过使用对线粒体标记细胞色素氧化酶I的高度简并引物组来探讨了整个Zooplankton社区的增强的定量方法,并将结果与​​使用传统的处理浮游动物样品的形态学方法获得的生物量估计进行了比较。与所预期的,与形态学加工相比,使用沟通方法检测物种丰富性较高3-4倍,在Meroplankton部分中发现的最高差异。在Metabarding运行中也恢复了约75%的使用显微镜发现的物种。在使用这两种方法检测到的分类群内,序列计数的相对数量表现出与其相对生物质的强烈定量关系,从长度重量回归估计,对于各种各样的美联群分类群。发现了甲壳类动物和最低的前植物幼虫的相关性最高。我们的研究结果表明,使用ametabarding标志物改善的分类学分辨率,普遍覆盖甲卓嗪,减少底漆偏倚和综合参考数据库的可用性的方法,允许在更高的分类学分辨率下快速且相对便宜地处理数百个样本而不是传统浮游动物排序。因此,所描述的方法可以广泛应用于监测或生态学研究。

著录项

  • 来源
    《ICES Journal of Marine Science》 |2021年第9期|3342-3355|共14页
  • 作者单位

    UiT Arctic Univ Norway Fac Biosci Fisheries & Econ Dept Arctic & Marine Biol POB 6050 N-9037 Tromso Norway|Inst Marine Res POB 1870 N-5817 Bergen Norway|Russian Acad Sci Shirshov Inst Oceanol 36 Nahimovskiy Prospekt Moscow 117997 Russia;

    UiT Arctic Univ Norway Norwegian Coll Fishery Sci Fac Biosci Fisheries & Econ POB 6050 N-9037 Tromso Norway;

    UiT Arctic Univ Norway Fac Biosci Fisheries & Econ Dept Arctic & Marine Biol POB 6050 N-9037 Tromso Norway;

    UiT Arctic Univ Norway Fac Biosci Fisheries & Econ Dept Arctic & Marine Biol POB 6050 N-9037 Tromso Norway;

    UiT Arctic Univ Norway Norwegian Coll Fishery Sci Fac Biosci Fisheries & Econ POB 6050 N-9037 Tromso Norway;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    biodiversity; COI; ecosystem monitoring; Leray-XT; meroplankton; mesozooplankton; metabarcoding; pelagic communities;

    机译:生物多样性;COI;生态系统监测;Leray-XT;Meroplankton;Mesozooplankton;Metabarcoding;骨质社区;

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