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首页> 外文期刊>Microbial Ecology: An International Journal >Accuracy of Biovolume Formulas for CMEIAS Computer-Assisted Microscopy and Body Size Analysis of Morphologically Diverse Microbial Populations and Communities
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Accuracy of Biovolume Formulas for CMEIAS Computer-Assisted Microscopy and Body Size Analysis of Morphologically Diverse Microbial Populations and Communities

机译:CMEIAS计算机辅助显微镜生物体积公式的准确性以及形态多样的微生物种群和社区的体型分析

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摘要

Cell biovolume is a commonly used metric of microbial abundance analyzed by computer-assisted microscopy, but the accuracies of most biovolume formulas have not been validated by ground truth data. We examined the accuracy of 17 biovolume formulas by comparing the computed volumes of 3D models representing 11 microbial morphotypes (cocci, spirals, curved rods, U-shaped rods, regular straight rods, unbranched filaments, ellipsoids, clubs, prosthecates, rudimentary branched rods, and branched filaments) to the volume displacement of the same objects as ground truth. As anticipated, formula accuracy was significantly influenced by the morphotype examined. A few formulas performed very accurately (> 95 %), especially those that adapted to the cell's shape, whereas others were consistently inaccurate or only accurate for one or two morphotypes. As an example of application, indices of morphological diversity in a freshwater biofilm assemblage were shown to be significantly different when microbial abundance among morphotype classes was measured as biovolume body mass rather than cell counts. Spatial analysis of biovolume body mass can also provide insights on the in situ ecophysiological attributes among individuals in microbial populations and communities, including their spatially autocorrelated allometric scaling interrelationships between body size, metabolic activity, resource apportionment and use, food web dynamics, and various cell-cell interactions affecting their growth and colonization behavior within spatially structured biofilm landscapes. This improved computing technology of biovolume algorithms with proven accuracy identifies which formula(s) should be used to compute microbial biovolumes in 2D images of morphologically diverse communities acquired by conventional phase-contrast light microscopy at single-cell resolution.
机译:细胞生物量是通过计算机辅助显微镜分析的常用微生物丰度指标,但是大多数生物量公式的准确性尚未得到地面真实数据的验证。我们通过比较代表11种微生物形态类型的3D模型(球菌,螺旋形,弯曲棒,U形棒,规则直形棒,无分支细丝,椭圆形,球棒,假肢,粗枝形棒,和分支的细丝)到与地面真相相同的物体的体积位移。如预期的那样,配方的准确性受所检查形态的影响很大。一些公式执行得非常准确(> 95%),特别是那些适合细胞形状的公式,而其他公式始终不准确或仅对一种或两种形态类型准确。作为应用示例,当测量形态型类别之间的微生物丰度作为生物体积体重而不是细胞计数时,淡水生物膜组合物中的形态多样性指数显示出显着不同。生物体积体重的空间分析还可以提供有关微生物种群和社区中个体原位生态生理属性的见解,包括它们与体型大小,代谢活动,资源分配和使用,食物网动态以及各种细胞之间的空间自相关异构比例关系细胞相互作用影响它们在空间结构化生物膜景观中的生长和定殖行为。这种经过改进的具有精确性的生物量算法计算技术,可以确定应采用哪种公式来计算通过传统相衬光显微镜在单细胞分辨率下获得的形态多样的群落的2D图像中的微生物生物量。

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