Absolute quantitation of microbes using 16S rRNA gene metabarcoding: A rapid normalization of relative abundances by quantitative PCR targeting a 16S rRNA gene spike‐in standard

16S核糖体RNA 生物 核糖体RNA 聚合酶链反应 参考基因 基因 内转录区 遗传学 高变区 规范化(社会学) 计算生物学 人类学 社会学
作者
Olivier Zemb,Catherine Achard,Jérôme Hamelin,Marie Léa De Almeida,Béatrice Gabinaud,Laurent Cauquil,L.M.G. Verschuren,Jean Jacques Godon
出处
期刊:MicrobiologyOpen [Wiley]
卷期号:9 (3) 被引量:48
标识
DOI:10.1002/mbo3.977
摘要

Metabarcoding of the 16S rRNA gene is commonly used to characterize microbial communities, by estimating the relative abundance of microbes. Here, we present a method to retrieve the concentrations of the 16S rRNA gene per gram of any environmental sample using a synthetic standard in minuscule amounts (100 ppm to 1% of the 16S rRNA sequences) that is added to the sample before DNA extraction and quantified by two quantitative polymerase chain reaction (qPCR) reactions. This allows normalizing by the initial microbial density, taking into account the DNA recovery yield. We quantified the internal standard and the total load of 16S rRNA genes by qPCR. The qPCR for the latter uses the exact same primers as those used for Illumina sequencing of the V3-V4 hypervariable regions of the 16S rRNA gene to increase accuracy. We are able to calculate the absolute concentration of the species per gram of sample, taking into account the DNA recovery yield. This is crucial for an accurate estimate as the yield varied between 40% and 84%. This method avoids sacrificing a high proportion of the sequencing effort to quantify the internal standard. If sacrificing a part of the sequencing effort to the internal standard is acceptable, we however recommend that the internal standard accounts for 30% of the environmental 16S rRNA genes to avoid the PCR bias associated with rare phylotypes. The method proposed here was tested on a feces sample but can be applied more broadly on any environmental sample. This method offers a real improvement of metabarcoding of microbial communities since it makes the method quantitative with limited efforts.

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
zheya完成签到,获得积分10
刚刚
jjn应助机灵水卉采纳,获得10
刚刚
1秒前
LUCKY完成签到,获得积分10
2秒前
深情安青应助负责的香魔采纳,获得10
2秒前
小二郎应助Wenroy采纳,获得10
2秒前
莓莓发布了新的文献求助20
3秒前
ty完成签到,获得积分10
3秒前
ly完成签到,获得积分10
3秒前
4秒前
shiizii应助Aa采纳,获得10
4秒前
dd99081完成签到,获得积分10
4秒前
xiangling1116完成签到,获得积分10
4秒前
淡然的衣完成签到 ,获得积分10
4秒前
4秒前
ALEXAA发布了新的文献求助40
5秒前
5秒前
5秒前
思源应助顾文采纳,获得10
5秒前
坚强的翠霜完成签到 ,获得积分10
5秒前
亲亲布加拉提完成签到,获得积分10
6秒前
酷波er应助13344采纳,获得10
6秒前
6秒前
JUAN发布了新的文献求助10
7秒前
哈哈哈完成签到,获得积分10
7秒前
关包子完成签到,获得积分10
7秒前
ly发布了新的文献求助10
7秒前
8秒前
Lynette发布了新的文献求助10
8秒前
万能图书馆应助lxy采纳,获得10
8秒前
dsds完成签到,获得积分10
8秒前
清爽芭乐提完成签到,获得积分10
8秒前
9秒前
隐形曼青应助17采纳,获得10
9秒前
LL发布了新的文献求助10
9秒前
小二郎应助优秀的凉面采纳,获得10
9秒前
对潇潇暮雨完成签到 ,获得积分10
10秒前
赘婿应助Hiuge采纳,获得10
10秒前
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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5707949
求助须知:如何正确求助?哪些是违规求助? 5186552
关于积分的说明 15252222
捐赠科研通 4861091
什么是DOI,文献DOI怎么找? 2609200
邀请新用户注册赠送积分活动 1559900
关于科研通互助平台的介绍 1517670