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首页> 外文期刊>Current Microbiology: An International Journal >Analysis of Bacterial Communities in White Clover Seeds via High-Throughput Sequencing of 16S rRNA Gene
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Analysis of Bacterial Communities in White Clover Seeds via High-Throughput Sequencing of 16S rRNA Gene

机译:通过16S rRNA基因的高通量测序分析白三叶草种子细菌群落

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摘要

White clover widely cultivated in China is one of the most important perennial leguminous forages in temperate and subtropical regions. There is a large quantity of white clover seeds imported into China each year for demands of high-quality grass seeds. Seedborne diseases may cause significant economic losses. DNA sequencing technologies allow for the direct estimation of microbial community diversity, avoiding culture-based biases. Therefore, we used 16S rRNA gene sequencing to investigate the bacterial communities in white clover seeds collected from four different countries. The results showed that a total of 484,715 clean reads were obtained for further subsequent analysis. In total, 341, 340, 382, and 297 operational taxonomic units were obtained at 3% distance cutoff in DB, MB, TB, and XB samples, respectively. The richness indexes revealed that TB sample from Argentina had the highest bacterial richness in four samples. Our results demonstrated that Proteobacteria was the dominant phyla in MB, TB, and XB; however, Bacteroidetes was the dominant phyla in DB. The dominant genus of DB was Prevotella (11.9%), while Sphingomonas was the major genus of MB (46.9%), TB (55.08%), and XB (47.2%) samples. These results provide useful information for seedborne diseases and transmission of bacteria from seed to seedling.
机译:中国广泛培育的白三叶草是温带和亚热带地区最重要的多年生豆科植物之一。每年有大量的白三叶草种子进口到中国,以获得高质量的草种子的需求。种子繁殖疾病可能会造成显着的经济损失。 DNA测序技术允许直接估计微生物群落多样性,避免培养基的偏差。因此,我们使用了16S rRNA基因测序来研究从四个不同国家收集的白三叶草种子中的细菌群落。结果表明,获得了484,715个清洁读数,以进行进一步的后续分析。总共341,340,382和297个运营分类单位分别在DB,MB,TB和XB样品中的3%距离截止。富裕指数揭示了来自阿根廷的TB样品在四个样品中具有最高的细菌性质。我们的结果表明,MB,TB和XB中的植物植物植物是占优势的植物;然而,Bacteroidetes是DB中的显性植物。 DB的显性属Phivotella(11.9%),而鞘氨醇是Mb(46.9%),Tb(55.08%)和XB(47.2%)样品的主要属。这些结果为种子疾病和种子从种子传播到幼苗提供了有用的信息。

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