Fan Lihua, Shuai Jiangbing, Zeng Ruoxue, Mo Hongfei, Wang Suhua, Zhang Xiaofeng, He Yongqiang
School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, China.
Zhejiang Academy of Science and Technology for Inspection and Quarantine, Hangzhou, China.
Environ Pollut. 2017 Dec;231(Pt 2):1569-1577. doi: 10.1016/j.envpol.2017.09.047. Epub 2017 Sep 28.
Genome fragment enrichment (GFE) method was applied to identify host-specific bacterial genetic markers that differ among different fecal metagenomes. To enrich for swine-specific DNA fragments, swine fecal DNA composite (n = 34) was challenged against a DNA composite consisting of cow, human, goat, sheep, chicken, duck and goose fecal DNA extracts (n = 83). Bioinformatic analyses of 384 non-redundant swine enriched metagenomic sequences indicated a preponderance of Bacteroidales-like regions predicted to encode metabolism-associated, cellular processes and information storage and processing. After challenged against fecal DNA extracted from different animal sources, four sequences from the clone libraries targeting two Bacteroidales- (genes 1-38 and 3-53), a Clostridia- (gene 2-109) as well as a Bacilli-like sequence (gene 2-95), respectively, showed high specificity to swine feces based on PCR analysis. Host-specificity and host-sensitivity analysis confirmed that oligonucleotide primers and probes capable of annealing to select Bacteroidales-like sequences (1-38 and 3-53) exhibited high specificity (>90%) in quantitative PCR assays with 71 fecal DNAs from non-target animal sources. The two assays also demonstrated broad distributions of corresponding genetic markers (>94% positive) among 72 swine feces. After evaluation with environmental water samples from different areas, swine-targeted assays based on two Bacteroidales-like GFE sequences appear to be suitable quantitative tracing tools for swine fecal pollution.
基因组片段富集(GFE)方法被用于识别不同粪便宏基因组中存在差异的宿主特异性细菌遗传标记。为了富集猪特异性DNA片段,将猪粪便DNA混合物(n = 34)与由牛、人、山羊、绵羊、鸡、鸭和鹅粪便DNA提取物组成的DNA混合物(n = 83)进行比对。对384条非冗余猪富集宏基因组序列的生物信息学分析表明,预测编码与代谢相关、细胞过程以及信息存储和处理的拟杆菌目样区域占优势。在用从不同动物来源提取的粪便DNA进行比对后,基于PCR分析,分别来自针对两个拟杆菌目(基因1-38和3-53)、一个梭菌目(基因2-109)以及一个芽孢杆菌样序列(基因2-95)的克隆文库的四个序列对猪粪便显示出高特异性。宿主特异性和宿主敏感性分析证实,能够与选定的拟杆菌目样序列(1-38和3-53)退火的寡核苷酸引物和探针在对71份非目标动物来源的粪便DNA进行的定量PCR测定中表现出高特异性(>90%)。这两种测定方法还表明相应的遗传标记在72份猪粪便中广泛分布(阳性率>94%)。在用不同地区的环境水样进行评估后,基于两个拟杆菌目样GFE序列的猪靶向测定似乎是用于猪粪便污染的合适定量追踪工具。