Leray Matthieu, Knowlton Nancy
National Museum of Natural History, Smithsonian Institution, Washington, DC 20013.
National Museum of Natural History, Smithsonian Institution, Washington, DC 20013
Proc Natl Acad Sci U S A. 2015 Feb 17;112(7):2076-81. doi: 10.1073/pnas.1424997112. Epub 2015 Feb 2.
Documenting the diversity of marine life is challenging because many species are cryptic, small, and rare, and belong to poorly known groups. New sequencing technologies, especially when combined with standardized sampling, promise to make comprehensive biodiversity assessments and monitoring feasible on a large scale. We used this approach to characterize patterns of diversity on oyster reefs across a range of geographic scales comprising a temperate location [Virginia (VA)] and a subtropical location [Florida (FL)]. Eukaryotic organisms that colonized multilayered settlement surfaces (autonomous reef monitoring structures) over a 6-mo period were identified by cytochrome c oxidase subunit I barcoding (>2-mm mobile organisms) and metabarcoding (sessile and smaller mobile organisms). In a total area of ∼ 15.64 m(2) and volume of ∼ 0.09 m(3), 2,179 operational taxonomic units (OTUs) were recorded from 983,056 sequences. However, only 10.9% could be matched to reference barcodes in public databases, with only 8.2% matching barcodes with both genus and species names. Taxonomic coverage was broad, particularly for animals (22 phyla recorded), but 35.6% of OTUs detected via metabarcoding could not be confidently assigned to a taxonomic group. The smallest size fraction (500 to 106 μm) was the most diverse (more than two-thirds of OTUs). There was little taxonomic overlap between VA and FL, and samples separated by ∼ 2 m were significantly more similar than samples separated by ∼ 100 m. Ground-truthing with independent assessments of taxonomic composition indicated that both presence-absence information and relative abundance information are captured by metabarcoding data, suggesting considerable potential for ecological studies and environmental monitoring.
记录海洋生物的多样性具有挑战性,因为许多物种难以识别、体型微小且数量稀少,并且属于鲜为人知的类群。新的测序技术,尤其是与标准化采样相结合时,有望使大规模的全面生物多样性评估和监测变得可行。我们采用这种方法来描述在一系列地理尺度上牡蛎礁的多样性模式,这些尺度包括一个温带地区[弗吉尼亚州(VA)]和一个亚热带地区[佛罗里达州(FL)]。通过细胞色素c氧化酶亚基I条形码技术(针对大于2毫米的活动生物)和宏条形码技术(针对固着生物和较小的活动生物),识别了在6个月期间定殖在多层附着表面(自主礁监测结构)上的真核生物。在总面积约15.64平方米、体积约0.09立方米的范围内,从983,056条序列中记录了2,179个操作分类单元(OTU)。然而,只有10.9%能够与公共数据库中的参考条形码匹配,其中只有8.2%的条形码同时匹配属名和种名。分类覆盖范围广泛,特别是对于动物(记录了22个门),但通过宏条形码技术检测到的OTU中有35.6%无法可靠地归入一个分类组。最小的尺寸级分(500至106微米)最为多样(超过三分之二的OTU)。弗吉尼亚州和佛罗里达州之间的分类重叠很少,相距约2米的样本比相距约100米的样本明显更相似。通过对分类组成的独立评估进行实地验证表明,宏条形码数据既捕捉到了存在与否信息,也捕捉到了相对丰度信息,这表明在生态研究和环境监测方面具有相当大的潜力。