Cultivation-dependent characterization of bacterial diversity from British Columbia forest soils subjected to disturbance
Cultivation-dependent characterization of bacterial diversity from British Columbia forest soils subjected to disturbance
复制标题
DOI：
10.1139/w02-058
复制
发表时间：
2002-07-01
影响因子：
2.8
通讯作者：
Davies, J
中科院分区：
文献类型：
--
作者：
Axelrood, PE;Chow, ML;Davies, J
采用4种方法培养了森林表层有机质和矿质土壤层中的细菌，并通过脂肪酸甲酯（FAME）分析对其进行了表征。从不列颠哥伦比亚省森林部长期土壤生产力（LTSP）装置的土壤样品收集在冬季和夏季从两个干扰处理（没有土壤压实的整棵树收获（图N）和整棵树收获加上完全去除表面有机物并重度土壤压实（图S））和来自未记录的参考图（REF），75%的1795个细菌分离株隶属于42个属，代表β-和γ-变形菌，放线菌，芽孢杆菌/梭菌组，和噬细胞杆菌-拟杆菌组。大约一半的文化收集代表遗传多样性局限于四个细菌属：假单胞菌，芽孢杆菌，类芽孢杆菌，节杆菌。一个显着更高比例的细菌菌株属于放线菌，节杆菌属的成员，分离出地块S土壤样品相比，土壤样品从地块N和REF。25%的细菌菌株没有最终确定属FAME分析。Sherlock Tracker聚类分析和部分16 S rRNA基因序列分析使这些分离株的一个子集的分类。
Bacteria from forest surface organic matter and mineral soil horizons were cultivated using four methods and characterized by fatty acid methyl ester (FAME) analysis. Soil samples from a British Columbia Ministry of Forests Long-Term Soil Productivity (LTSP) installation were collected during winter and summer from two disturbance treatments (whole-tree harvesting with no soil compaction (plot N) and whole-tree harvesting plus complete surface organic matter removal with heavy soil compaction (plot S)) and from an unlogged reference plot (REF), Seventy-five percent of 1795 bacterial isolates were affiliated with 42 genera representing beta- and gamma-Proteobacteria, Actinobacteria, the Bacillus/Clostridium group, and the Cytophaga-Flexibacter-Bacteroides group. Approximately half of the culture collection represented genetic diversity confined to four bacterial genera: Pseudomonas, Bacillus, Paenibacillus, and Arthrobacter. A significantly higher proportion of bacterial isolates belonging to Actinobacteria, and the member genus Arthrobacter, were isolated from plot S soil samples compared with soil samples from plots N and REF. Twenty-five percent of bacterial isolates were not conclusively identified to genus with FAME analysis. Sherlock Tracker cluster analysis and partial 16S rRNA gene sequence analysis enabled classification of a subset of these isolates.