Microbial Community Composition in lakes - Ecological characteristics of the sample at North Temperate Lakes LTER 2002 - 2007

Microbial community composition is inferred by a combination of automated ribosomal
intergenic spacer analysis (ARISA) and PCR-generated clone library analysis. Clone libraries
include both the 16S rRNA gene and the 16S-23S ribosomal intergenic spacer fragment.
Phylogenetic assignments for individual ARISA fragments are obtained by comparing the ARISA
fragment length from each clone to all of the profiles stored in our database. We have
analyzed over 3900 clones obtained from 41 lakes that represent the range of trophic types
found in temperate landscapes. Querying by ecological characteristics of the sample allows
the user to retrieve sample IDs, sample dates, lake information (region, type, size, depth)
and physical/chemical data (water temperature, clarity, pH, DOC, SUVA, TN, TP,
nitrates/nitrites). The data can be filtered by lake name, sample date, lake information
(region, type, size, depth), and physical/chemical data (water temperature, clarity, pH,
DOC, SUVA, TN, TP, nitrates/nitrites). The output includes links to individual sample
records, which contain links to the taxonomic composition of the sample inferred by
dynamically matching clones to ARISA fragments in the individual sample

微生物群落组成可通过结合自动核糖体基因间间隔区分析（automated ribosomal intergenic spacer analysis, ARISA）与聚合酶链式反应（Polymerase Chain Reaction, PCR）生成的克隆文库分析进行推断。
克隆文库涵盖16S核糖体RNA基因（16S rRNA gene）与16S-23S核糖体基因间间隔区片段（16S-23S ribosomal intergenic spacer fragment）。
单个ARISA片段的系统发育分类归属，可通过将每个克隆对应的ARISA片段长度与数据库中存储的所有图谱进行比对获得。
本研究已对取自41个湖泊的3900余个克隆进行分析，这些湖泊涵盖了温带景观中存在的全部营养型水体类型。
用户可通过样本的生态特征进行检索，获取样本编号、采样日期、湖泊信息（区域、类型、面积、水深）以及理化数据（水温、透明度、pH、溶解有机碳（dissolved organic carbon, DOC）、比紫外吸收值（specific ultraviolet absorbance, SUVA）、总氮（total nitrogen, TN）、总磷（total phosphorus, TP）、硝酸盐/亚硝酸盐）。
用户可依据湖泊名称、采样日期、湖泊信息（区域、类型、面积、水深）以及理化数据（水温、透明度、pH、溶解有机碳、比紫外吸收值、总氮、总磷、硝酸盐/亚硝酸盐）对数据进行筛选。
检索结果将提供指向各样本记录的链接，样本记录中又包含指向对应样本分类组成的链接——该分类组成是通过将克隆与单个样本中的ARISA片段进行动态匹配推断得到的。