Bacterial community structure is indicative of chemical inputs in the Upper Mississippi River.

Bacterial community structure is indicative of chemical inputs in the Upper Mississippi River.
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DOI:
10.3389/fmicb.2014.00524
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发表时间:
2014
影响因子:
5.2
通讯作者:
Sadowsky MJ
Sadowsky MJ
中科院分区:
生物学2区
文献类型:
--
作者:
Staley C;Gould TJ;Wang P;Phillips J;Cotner JB;Sadowsky MJ

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在明尼苏达州的上密西西比河,以确定社区结构是否与不同的土地覆盖相关的离散类型的化学输入之间的细菌群落和营养物质和化学浓度的地方和区域之间的关联进行了评估。通过16S rDNA的V6区域的Illumina测序表征细菌群落,并与>40种化学和营养物浓度进行比较。当地的细菌群落结构主要是由细菌之间的关联。然而,订单丰度与营养物质和化学浓度在区域上相关,并且还与主要土地覆盖类型相关。总有机碳和总溶解固体是与当地社区组成和土地覆被共同变化的主要非生物因素。大肠杆菌浓度相关性较差的社区组成或营养浓度。14个细菌目的丰度与土地覆盖类型有关,其中7个在森林或植被影响的地点之间存在显著差异(P ≤ 0.046)。这项研究确定了特定的细菌订单,与来自特定的土地覆盖类型的化学品和营养物质,并可能是有用的水质评估。这项研究的结果表明,需要调查社区动态在当地和区域尺度,并确定分类的社区结构,可能是有用的,在确定污染源在上密西西比河的转变。
Local and regional associations between bacterial communities and nutrient and chemical concentrations were assessed in the Upper Mississippi River in Minnesota to determine if community structure was associated with discrete types of chemical inputs associated with different land cover. Bacterial communities were characterized by Illumina sequencing of the V6 region of 16S rDNA and compared to >40 chemical and nutrient concentrations. Local bacterial community structure was shaped primarily by associations among bacterial orders. However, order abundances were correlated regionally with nutrient and chemical concentrations, and were also related to major land coverage types. Total organic carbon and total dissolved solids were among the primary abiotic factors associated with local community composition and co-varied with land cover. Escherichia coli concentration was poorly related to community composition or nutrient concentrations. Abundances of 14 bacterial orders were related to land coverage type, and seven showed significant differences in abundance (P ≤ 0.046) between forested or anthropogenically-impacted sites. This study identifies specific bacterial orders that were associated with chemicals and nutrients derived from specific land cover types and may be useful in assessing water quality. Results of this study reveal the need to investigate community dynamics at both the local and regional scales and to identify shifts in taxonomic community structure that may be useful in determining sources of pollution in the Upper Mississippi River.
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