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利用宏条形码的单倍型对数百种大型海藻林物种进行小规模生态梯度和种内分化的检测。

Testing small-scale ecological gradients and intraspecific differentiation for hundreds of kelp forest species using haplotypes from metabarcoding.

机构信息

School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK.

Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA.

出版信息

Mol Ecol. 2021 Jul;30(13):3355-3373. doi: 10.1111/mec.15851. Epub 2021 Mar 8.

DOI:10.1111/mec.15851
PMID:33682164
Abstract

DNA metabarcoding has been increasingly used to detail distributions of hundreds of species. Most analyses focus on creating molecular operational taxonomic units (MOTUs) from complex mixtures of DNA sequences, but much less common is use of the sequence diversity within these MOTUs. Here we use the diversity of COI haplotypes within MOTUs from a California kelp forest to infer patterns of population abundance, dispersal and population history from 527 species of animals and algae from 106 samples of benthic habitats in Monterey Bay. Using haplotypes as a unit we show fine-grained differences of abundance across locations for 15 species, and marked aggregation from sample to sample for most of the common species of plants and animals. Previous analyses could not distinguish these patterns from artefacts of amplification or sequence bias. Our haplotype data also reveal strong population genetic differentiation over small spatial scales for 48 species of red algae, sponges and Bryozoa. Last, phylogenetic analysis of mismatch frequencies among haplotypes show a wide variety of demographic histories from recent expansions to long, stable population sizes. These analyses show that abundant, small-bodied marine species that are often overlooked in ecological surveys can have strikingly different patterns of ecological and genetic structure leading to population, ecological and perhaps adaptive differences between habitats. MOTU diversity data from the same sequencing efforts that generate species-level analyses can greatly increase the scope and value of metabarcoding studies.

摘要

DNA 代谢组学已被越来越多地用于详细描述数百种物种的分布情况。大多数分析侧重于从 DNA 序列的复杂混合物中创建分子操作分类单元 (MOTU),但很少使用这些 MOTU 内的序列多样性。在这里,我们使用加利福尼亚海藻林的 MOTU 内 COI 单倍型的多样性,从蒙特雷湾 106 个底栖生境样本中 527 种动物和藻类推断种群丰度、扩散和种群历史的模式。使用单倍型作为单位,我们展示了 15 个物种在不同地点的丰度的细微差异,并且对于大多数常见的植物和动物物种,从样本到样本都存在明显的聚集。以前的分析无法将这些模式与扩增或序列偏差的人为产物区分开来。我们的单倍型数据还揭示了 48 种红藻、海绵和苔藓动物的遗传分化在小空间尺度上的强烈分化。最后,对单倍型之间错配频率的系统发育分析显示,从最近的扩张到长期稳定的种群大小,有各种各样的种群历史。这些分析表明,在生态调查中经常被忽视的丰富、小体型海洋物种可能具有截然不同的生态和遗传结构模式,从而导致栖息地之间的种群、生态和可能的适应性差异。来自相同测序工作的 MOTU 多样性数据可以大大增加代谢组学研究的范围和价值。

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