Quantification of host-specific Bacteroides–Prevotella 16S rRNA genetic markers for assessment of fecal pollution in freshwater

16S核糖体RNA 生物 粪便 拟杆菌 粪大肠菌群 微生物学 普雷沃菌属 核糖体RNA 拟杆菌科 底漆(化妆品) 聚合酶链反应 人类粪便 细菌 基因 遗传学 化学 生态学 水质 有机化学
作者
Satoshi Okabe,Noriko Okayama,Olga Savichtcheva,Tsukasa Ito
出处
期刊:Applied Microbiology and Biotechnology [Springer Nature]
卷期号:74 (4): 890-901 被引量:188
标识
DOI:10.1007/s00253-006-0714-x
摘要

Based on the comparative 16S rRNA gene sequence analysis of fecal DNAs, we identified one human-, three cow-, and two pig-specific Bacteroides-Prevotella 16S rRNA genetic markers, designed host-specific real-time polymerase chain reaction (real-time PCR) primer sets, and successfully developed real-time PCR assay to quantify the fecal contamination derived from human, cow, and pig in natural river samples. The specificity of each newly designed host-specific primer pair was evaluated on fecal DNAs extracted from these host feces. All three cow-specific and two pig-specific primer sets amplified only target fecal DNAs (in the orders of 9-11 log(10) copies per gram of wet feces), showing high host specificity. This real-time PCR assay was then applied to the river water samples with different fecal contamination sources and levels. It was confirmed that this assay could sufficiently discriminate and quantify human, cow, and pig fecal contamination. There was a moderate level of correlation between the Bacteroides-Prevotella group-specific 16S rRNA gene markers with fecal coliforms (r (2) = 0.49), whereas no significant correlation was found between the human-specific Bacteroides 16S rRNA gene with total and fecal coliforms. Using a simple filtration method, the minimum detection limits of this assay were in the range of 50-800 copies/100 ml. With a combined sample processing and analysis time of less than 8 h, this real-time PCR assay is useful for monitoring or identifying spatial and temporal distributions of host-specific fecal contaminations in natural water environments.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
1秒前
説書人完成签到,获得积分10
2秒前
CodeCraft应助miao3718采纳,获得10
2秒前
活泼的伯云完成签到,获得积分10
2秒前
rossliyi发布了新的文献求助10
2秒前
超级无敌好吃完成签到,获得积分10
2秒前
cindy发布了新的文献求助10
2秒前
lunwenqigai完成签到,获得积分10
2秒前
scoringtitle发布了新的文献求助10
3秒前
cjypdf发布了新的文献求助10
3秒前
桐桐应助王志智采纳,获得10
4秒前
4秒前
大鸟依人完成签到,获得积分10
4秒前
5秒前
annie2D完成签到,获得积分10
5秒前
Sylvia发布了新的文献求助10
5秒前
DJ发布了新的文献求助10
6秒前
顺顺发布了新的文献求助10
6秒前
zhenglei9058发布了新的文献求助10
6秒前
6秒前
wasss完成签到,获得积分10
6秒前
6秒前
6秒前
7秒前
七七发布了新的文献求助10
7秒前
橙子发布了新的文献求助10
7秒前
Hello应助再慕采纳,获得10
7秒前
ZX完成签到 ,获得积分10
7秒前
7秒前
Akim应助个性小熊猫采纳,获得10
7秒前
心中完成签到,获得积分10
8秒前
11111完成签到,获得积分10
8秒前
9秒前
wzy发布了新的文献求助10
9秒前
9秒前
gougoubao发布了新的文献求助10
10秒前
Pebble1发布了新的文献求助10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Social Cognition: Understanding People and Events 1200
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6037712
求助须知:如何正确求助?哪些是违规求助? 7761778
关于积分的说明 16218706
捐赠科研通 5183571
什么是DOI,文献DOI怎么找? 2774029
邀请新用户注册赠送积分活动 1757153
关于科研通互助平台的介绍 1641542