Burkholderia pseudomallei is spatially distributed in soil in northeast Thailand.
Burkholderia pseudomallei is spatially distributed in soil in northeast Thailand.
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DOI：
10.1371/journal.pntd.0000694
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发表时间：
2010-06-01
影响因子：
3.8
通讯作者：
Peacock SJ
中科院分区：
文献类型：
--
作者：
Limmathurotsakul D;Wuthiekanun V;Chantratita N;Wongsuvan G;Amornchai P;Day NP;Peacock SJ
类鼻疽是一种常见的致命性传染病，由土壤中的革兰氏阴性细菌类鼻疽伯克霍尔德氏菌引起。环境采样对于确定该生物体的地理分布以及人类和牲畜感染的相关风险非常重要。本研究的目的是评估B的空间分布。pseudomallei在土壤中，并考虑这对土壤采样策略的影响。采用固定间隔采样策略作为B培养物检测和定量的基础。在泰国东北部的两个环境站点（废弃的土地覆盖着低洼的灌木丛和稻田）的土壤中发现了假鼻疽。用半变异函数和指示半变异函数评价B的分布。伪鼻疽及其与采样点间距的关系。B。在100个采样点中，80个采样点来自废弃地，28个采样点来自稻田。中位数B。从阳性采样点的假鼻疽菌cfu/g，废弃地和稻田分别为378和700（p = 0.17）。 B的空间自相关。存在假鼻疽，因为从邻近B培养阳性（阴性）采样点的区域采集的样本。假鼻疽也可能是培养阳性（阴性），从采样点附近的区域采集的样本具有高（低）B。假鼻疽计数也可能产生高（低）计数。定量B中的空间自相关范围。假鼻疽菌数在废弃地为11.4米，在稻田为7.6米。我们讨论了B的不均匀分布的含义。pseudomallei在土壤中的未来环境研究，并描述了一系列既定的地质统计学采样方法，将适合于B的研究。假鼻疽的诊断。类鼻疽是一种由环境细菌类鼻疽伯克霍尔德氏菌引起的严重感染。土壤取样对于确定人类和动物有接触风险的地理区域很重要。本研究的目的是检查一个因素，有一个主要的土壤采样的准确性：B的空间分布。在特定采样点的土壤中检测到假鼻疽。在泰国东北部的两个地点（废弃地和稻田），使用100个采样点的固定间隔网格进行土壤采样，以及B的存在和数量。使用培养确定的假鼻疽。存在和B的映射。假鼻疽菌计数表明，从邻近B培养阳性（阴性）采样点的区域采集的样本。假鼻疽也可能是培养阳性（阴性），从采样点附近的区域采集的样本具有高（低）B。假鼻疽计数也可能产生高（低）计数（空间自相关）。这些数据被用来作为突出的几个陷阱，在目前的土壤采样方法的基础上，与一系列的采样策略在不同的地理位置和不同的研究目标的适用性的讨论。
Melioidosis is a frequently fatal infectious disease caused by the soil dwelling Gram-negative bacterium Burkholderia pseudomallei. Environmental sampling is important to identify geographical distribution of the organism and related risk of infection to humans and livestock. The aim of this study was to evaluate spatial distribution of B. pseudomallei in soil and consider the implications of this for soil sampling strategies. A fixed-interval sampling strategy was used as the basis for detection and quantitation by culture of B. pseudomallei in soil in two environmental sites (disused land covered with low-lying scrub and rice field) in northeast Thailand. Semivariogram and indicator semivariogram were used to evaluate the distribution of B. pseudomallei and its relationship with range between sampling points. B. pseudomallei was present on culture of 80/100 sampling points taken from the disused land and 28/100 sampling points from the rice field. The median B. pseudomallei cfu/gram from positive sampling points was 378 and 700 for the disused land and the rice field, respectively (p = 0.17). Spatial autocorrelation of B. pseudomallei was present, in that samples taken from areas adjacent to sampling points that were culture positive (negative) for B. pseudomallei were also likely to be culture positive (negative), and samples taken from areas adjacent to sampling points with a high (low) B. pseudomallei count were also likely to yield a high (low) count. Ranges of spatial autocorrelation in quantitative B. pseudomallei count were 11.4 meters in the disused land and 7.6 meters in the rice field. We discuss the implications of the uneven distribution of B. pseudomallei in soil for future environmental studies, and describe a range of established geostatistical sampling approaches that would be suitable for the study of B. pseudomallei that take account of our findings. Melioidosis is a severe infection caused by the environmental bacterium Burkholderia pseudomallei. Soil sampling is important to identify geographic regions where humans and animals are at risk of exposure. The purpose of this study was to examine a factor that has a major bearing on the accuracy of soil sampling: the spatial distribution of B. pseudomallei in soil of a specified sampling site. Soil sampling was performed using a fixed-interval grid of 100 sampling points in each of two sites (disused land and rice field) in northeast Thailand, and the presence and amount of B. pseudomallei determined using culture. Mapping of the presence and B. pseudomallei count demonstrated that samples taken from areas adjacent to sampling points that were culture positive (negative) for B. pseudomallei were also likely to be culture positive (negative), and samples taken from areas adjacent to sampling points with a high (low) B. pseudomallei count were also likely to yield a high (low) count (spatial autocorrelation). These data were used as the basis for highlighting several pitfalls in current approaches to soil sampling, together with a discussion of the suitability of a range of sampling strategies in different geographical locations and for different study objectives.
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影响因子：
9.4
作者：
Vesaratchavest, Mongkol;Tumapa, Sarinna;Peacock, Sharon J.
通讯作者：
Peacock, Sharon J.
影响因子：
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影响因子：
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通讯作者：
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