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采用 DNA 条码测序技术对日本无人管理的花坛和农田土壤中的线虫群落进行分析。

Profiling nematode communities in unmanaged flowerbed and agricultural field soils in Japan by DNA barcode sequencing.

机构信息

Molecular Genetics Laboratory, Division of Bioscience and Biotechnology, Department of Environmental and Life Sciences, Toyohashi University of Technology, Tempaku-cho, Toyohashi, Aichi, Japan.

出版信息

PLoS One. 2012;7(12):e51785. doi: 10.1371/journal.pone.0051785. Epub 2012 Dec 20.

Abstract

Soil nematodes play crucial roles in the soil food web and are a suitable indicator for assessing soil environments and ecosystems. Previous nematode community analyses based on nematode morphology classification have been shown to be useful for assessing various soil environments. Here we have conducted DNA barcode analysis for soil nematode community analyses in Japanese soils. We isolated nematodes from two different environmental soils of an unmanaged flowerbed and an agricultural field using the improved flotation-sieving method. Small subunit (SSU) rDNA fragments were directly amplified from each of 68 (flowerbed samples) and 48 (field samples) isolated nematodes to determine the nucleotide sequence. Sixteen and thirteen operational taxonomic units (OTUs) were obtained by multiple sequence alignment from the flowerbed and agricultural field nematodes, respectively. All 29 SSU rDNA-derived OTUs (rOTUs) were further mapped onto a phylogenetic tree with 107 known nematode species. Interestingly, the two nematode communities examined were clearly distinct from each other in terms of trophic groups: Animal predators and plant feeders were markedly abundant in the flowerbed soils, in contrast, bacterial feeders were dominantly observed in the agricultural field soils. The data from the flowerbed nematodes suggests a possible food web among two different trophic nematode groups and plants (weeds) in the closed soil environment. Finally, DNA sequences derived from the mitochondrial cytochrome oxidase c subunit 1 (COI) gene were determined as a DNA barcode from 43 agricultural field soil nematodes. These nematodes were assigned to 13 rDNA-derived OTUs, but in the COI gene analysis were assigned to 23 COI gene-derived OTUs (cOTUs), indicating that COI gene-based barcoding may provide higher taxonomic resolution than conventional SSU rDNA-barcoding in soil nematode community analysis.

摘要

土壤线虫在土壤食物网中起着至关重要的作用,是评估土壤环境和生态系统的合适指标。先前基于线虫形态分类的线虫群落分析已被证明可用于评估各种土壤环境。在这里,我们对日本土壤中的土壤线虫群落进行了 DNA 条码分析。我们使用改良的浮选筛选法从未管理的花坛和农田的两种不同环境土壤中分离线虫。从 68 个(花坛样本)和 48 个(农田样本)分离的线虫中直接扩增小亚基(SSU)rDNA 片段,以确定核苷酸序列。从花坛和农田线虫中分别通过多序列比对获得了 16 个和 13 个操作分类单元(OTU)。所有 29 个 SSU rDNA 衍生的 OTU(rOTU)进一步映射到一个与 107 种已知线虫物种的系统发育树中。有趣的是,在所检查的两个线虫群落中,在营养组方面存在明显差异:动物捕食者和植物食者在花坛土壤中明显丰富,而细菌食者在农田土壤中占主导地位。花坛线虫的数据表明,在封闭的土壤环境中,两种不同营养线虫群和植物(杂草)之间可能存在食物网。最后,从 43 个农田土壤线虫中确定了线粒体细胞色素氧化酶 c 亚基 1(COI)基因的 DNA 序列作为 DNA 条码。这些线虫被分配到 13 个 rDNA 衍生的 OTU 中,但在 COI 基因分析中被分配到 23 个 COI 基因衍生的 OTU(cOTU)中,这表明 COI 基因条码可能比传统的 SSU rDNA 条码在土壤线虫群落分析中提供更高的分类分辨率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac0/3527504/a46053512967/pone.0051785.g001.jpg

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