首页> 外文期刊>The Science of the Total Environment >Metataxonomic and metagenomic analysis of mangrove microbiomes reveals community patterns driven by salinity and pH gradients in Paranagua Bay, Brazil
【24h】

Metataxonomic and metagenomic analysis of mangrove microbiomes reveals community patterns driven by salinity and pH gradients in Paranagua Bay, Brazil

机译:红树林微生物群的元分类和宏基因组分析揭示了巴西巴拉那瓜湾盐度和pH梯度驱动的群落模式

获取原文
获取原文并翻译 | 示例
           

摘要

While environmental drivers regulate the structure of mangrove microbial communities, their exact nature and the extent of their influence require further elucidation. By means of 16S rRNA gene-based sequencing, we determined the microbial taxonomic profiles of mangroves in the subtropical Paranagua Bay, Brazil, considering as potential drivers: salinity, as represented by two sectors in the extremes of a salinity gradient (<5 PSU and >30 PSU); proximity to/absence of the prevailing plants, Avicennia schaueriana, Laguncularia racemosa, Rhizophora mangle, and Spartina alterniflora; and the chemical composition of the sediments. Salinity levels within the estuary had the strongest influence on microbial structure, and pH was important to separate two communities within the high salinity environment. About one fourth of the total variation in community structure resulted from covariation of salinity and the overall chemical composition, which might indicate that the chemical profile was also related to salinity. The most prevalent bacterial phyla associated with the mangrove soils analyzed included Proteobacteria, Actinobacteria, Chloroflexi, Bacteroidetes, Acidobacteria, and Cyanobacteria. Taxonomic and functional comparisons of our results for whole-genome sequencing with available data from other biomes showed that the studied microbiomes cluster first according to biome type, then to matrix type and salinity status. Metabolic functions were more conserved than organisms within mangroves and across all biomes, indicating that core functions are preserved in any of the given conditions regardless of the specific organisms harboring them. (C) 2019 Elsevier B.V. All rights reserved.
机译:尽管环境驱动因素调节着红树林微生物群落的结构,但它们的确切性质和影响程度需要进一步阐明。通过基于16S rRNA基因的测序,我们确定了巴西亚热带巴拉那瓜湾红树林的微生物分类学特征,考虑了其潜在的驱动因素:盐度,以盐度梯度极端值(<5 PSU和> 30 PSU);接近/缺少盛行的植物,刺桐(Avicennia schaueriana),芸苔属(Laguncularia racemosa),根瘤菌(Rhizophora mangle)和互花米草(Spartina alterniflora);以及沉积物的化学成分。河口内的盐度水平对微生物结构的影响最大,pH值对于在高盐度环境中分离两个群落很重要。群落结构总变化的约四分之一是由盐度和总体化学成分的共同变化引起的,这可能表明化学特征也与盐度有关。与分析的红树林土壤相关的最普遍的细菌菌群包括变形杆菌,放线菌,绿弯曲菌,拟杆菌,酸性细菌和蓝细菌。我们对全基因组测序结果与其他生物群落的数据进行的分类和功能比较表明,所研究的微生物群落首先根据生物群落类型进行聚类,然后根据基质类型和盐度状态进行聚类。代谢功能比红树林和所有生物群落中的生物更保守,这表明在任何给定条件下都保留了核心功能,而与携带它们的特定生物无关。 (C)2019 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号