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淡水、咸淡水和海水中的溶原菌与游离病毒:贝叶斯分析

Lysogens and free viruses in fresh, brackish, and marine waters: a Bayesian analysis.

作者信息

Choi Samuel, Jeliazkov Ivan, Jiang Sunny C

机构信息

Environmental Health, Science and Policy, University of California, Irvine, CA, USA.

出版信息

FEMS Microbiol Ecol. 2009 Aug;69(2):243-54. doi: 10.1111/j.1574-6941.2009.00705.x. Epub 2009 Jun 7.

Abstract

A yearlong study was conducted to determine factors that affect the abundance and distribution of lysogens and free viruses at fresh-, brackish-, and saltwater stations in Newport Bay, CA. The viral and bacterial abundance were highest in the freshwater (average 1.1 x 10(8) and 1.1 x 10(7) mL(-1), respectively) and lowest in the marine water (average 0.4 x 10(8) and 0.5 x 10(7) mL(-1), respectively). Bacterial and viral counts were also several times higher during the summer than in winter. Approximately, 35% of the 141 samples were inducible in the presence of mitomycin C. The highest percentage of inducible lysogens was observed in marine waters (42%), while the lowest percentage was observed in the warmer freshwater (23%). A statistical model for the joint occurrence of lysogens and free viruses was formulated and estimated using Bayesian techniques to understand the key environmental determinants of viruses and lysogens. Our results support the existence of significant heterogeneity between the saltwater and freshwater sites. A parsimonious model that combines the two saltwater sites performs best among the specifications that were considered. Bacteria and water temperature were significant determinants of virus counts, whereas lysogen relationships are unclear. Importantly, conditional on the covariates, viruses and lysogen fractions exhibit robust negative correlation.

摘要

开展了一项为期一年的研究,以确定影响加利福尼亚州纽波特湾淡水、微咸水和咸水站点中溶原菌和游离病毒丰度及分布的因素。病毒和细菌丰度在淡水中最高(分别平均为1.1×10⁸和1.1×10⁷ mL⁻¹),在海水中最低(分别平均为0.4×10⁸和0.5×10⁷ mL⁻¹)。夏季的细菌和病毒数量也比冬季高出几倍。在141个样本中,约35%在丝裂霉素C存在的情况下可诱导。在海水中观察到可诱导溶原菌的百分比最高(42%),而在较温暖的淡水中观察到的百分比最低(23%)。构建了一个溶原菌和游离病毒联合出现的统计模型,并使用贝叶斯技术进行估计,以了解病毒和溶原菌的关键环境决定因素。我们的结果支持咸水和淡水站点之间存在显著异质性。在考虑的各种设定中,将两个咸水站点合并的简约模型表现最佳。细菌和水温是病毒数量的重要决定因素,而溶原菌的关系尚不清楚。重要的是,在协变量的条件下,病毒和溶原菌比例呈现出强烈的负相关。

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