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首页> 外文期刊>Aquatic Sciences >The network structure of intertidal meiofaunal communities from environmental DNA metabarcoding surveys in Northwest Iberia
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The network structure of intertidal meiofaunal communities from environmental DNA metabarcoding surveys in Northwest Iberia

机译：伊比利亚西北地区环境DNA地区迁移调查的透明梅诺纳纳社区的网络结构

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摘要

The identification of patterns and mechanisms behind species' distribution is one of the major challenges in ecology, having important outcomes for the conservation and management of ecosystems. This is especially true for those components of biodiversity providing essential ecosystem functions and for which standard surveys may underestimate their real taxonomic diversity due to high degree of cryptic diversity and inherent diagnosis difficulties, such as meiofaunal communities. Within this context, environmental DNA (eDNA) metabarcoding may provide a fast and reliable way to refine and scale-up the characterization of biological diversity in complex environmental samples, allowing to bypass issues related to biodiversity estimation. Moreover, the possibility of integrating eDNA metabarcoding-derived data with tools and methods rooted in network theory would deepen the knowledge on the structuring processes of ecological communities in ways that cannot be predicted from studying individual species/communities in isolation. Here, a sediment eDNA metabarcoding of mitochondrial cytochrome c oxidase I (COI) and nuclear hypervariable V4 region of the 18S rDNA (18S) was used to reconstruct the bipartite networks linking intertidal meiofaunal OTUs and sampling stations from three estuaries of the North-Western Iberian Peninsula. Null models were used to identify the role of environmental and spatial constraints on the structure of COI- and 18S-derived networks and to characterize the macroecological features of surveyed phyla. Our results show the feasibility of eDNA metabarcoding to capture a fair amount of diversity hard to detect with standard survey procedures and to identify hierarchical spatial structures in intertidal meiofaunal assemblages, ultimately suggesting a restricted distributional range mostly driven by niche-based processes.
机译：物种分配的模式和机制的识别是生态学中的主要挑战之一，具有保护和管理生态系统的重要成果。这对于提供基本生态系统功能的那些组件，这尤其如此，并且由于高度的隐秘多样性和固有的诊断困难，如梅多法纳纳社区，所以标准调查可能低估其真实的分类学多样性。在这种情况下，环境DNA（EDNA）的成立可以提供一种快速可靠的方法来细化和扩大复杂环境样本中的生物多样性的表征，允许绕过与生物多样性估算有关的问题。此外，将EDNA地区的衍生数据与工具和方法集成在一起的工具和方法可以加深关于生态社区结构化过程的知识，以便无法预测以孤立地研究个体种类/社区。这里，使用18S rDNA（18S）的线粒体细胞色素C氧化酶I（COI）和核心高变V4区的沉积物EDNA成立，用于重建与西北伊比利亚西北三个河口的二分网络连接的二分网络和采样站。半岛。 NULL模型用于确定环境和空间限制对COI和18级衍生网络结构的作用，并表征调查的脑电图的宏观生态特征。我们的结果表明EDNA Metabarcoding捕获相当多样性的多样性难以检测标准调查程序，并识别透模Meiofaunal组件中的分层空间结构，最终提出了受基于利基的基于利基的过程的限制分布范围。

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  • 来源
    《Aquatic Sciences》 |2021年第4期|71.1-71.14|共14页
  • 作者

    Bellisario Bruno; Fais Maria; Duarte Sofia; Vieira Pedro E.; Canchaya Carlos; Costa Filipe O.;

  • 作者单位

    Univ Minho Ctr Mol & Environm Biol CBMA Braga Portugal|Univ Minho Inst Sci & Innovat BioSustainabil IB S Braga Portugal|Univ Viterbo Dept Agr & Forest Sci DAFNE Via San Camillo Lellis Snc I-01100 Viterbo Italy;

    Univ Minho Ctr Mol & Environm Biol CBMA Braga Portugal|Univ Minho Inst Sci & Innovat BioSustainabil IB S Braga Portugal|SSL Servizi Sicurezza Lavoro Tech & Environm Consulting Grp Siniscola Italy;

    Univ Minho Ctr Mol & Environm Biol CBMA Braga Portugal|Univ Minho Inst Sci & Innovat BioSustainabil IB S Braga Portugal;

    Univ Minho Ctr Mol & Environm Biol CBMA Braga Portugal|Univ Minho Inst Sci & Innovat BioSustainabil IB S Braga Portugal;

    Univ Vigo Dept Biochem Genet & Immunol Vigo Spain|Univ Vigo Marine Res Ctr CIM UVIGO Vigo Spain;

    Univ Minho Ctr Mol & Environm Biol CBMA Braga Portugal|Univ Minho Inst Sci & Innovat BioSustainabil IB S Braga Portugal;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Meiofauna; eDNA; Metabarcoding; Bipartite networks; Modularity;

    机译：Meiofauna;EDNA;元结;二分网络;模块化;

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