Analysis of Caecal Microbiota in Rats Fed with Genetically Modified Rice by Real-Time Quantitative PCR

被引:12
|
作者
Xu, Wentao [1 ,2 ]
Li, Liting [2 ]
Lu, Jiao [1 ]
Luo, YunBo [1 ]
Shang, Ying [2 ]
Huang, Kunlun [1 ,2 ]
机构
[1] China Agr Univ, Lab Food Safety & Mol Biol, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
[2] Minist Agr, Supervis Inspect & Testing Ctr Genetically Modifi, Beijing 100083, Peoples R China
关键词
90-d feeding rats; caecal microbiota; genetically modified rice (GMR); real-time quantitative PCR; INTESTINAL MICROBIOTA; 90-DAY SAFETY; RESISTANT; BACTERIA; PRIMERS; TOXIN; QUANTIFICATION; LACTOBACILLUS; LECTIN; FECES;
D O I
10.1111/j.1750-3841.2010.01967.x
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The effect of genetically modified rice (GMR) on bacterial communities in caecal content was analyzed in a 90-d feeding rat model. A total of 12 groups of rats, which included male and female, were fed with the basal diets containing 30%, 50%, 70% GMR (B-1, B-2, B-3) or 30%, 50%, 70% non-GMR (D-1, D-2, D-3). The structure of intestinal microflora was estimated by real-time quantitative PCR (RQ-PCR) based on genus-specific 16s rDNA primers. SYBR Green was used for accurate detection and quantification of 6 kinds of major bacteria shared by humans and rats. According to RQ-PCR, the genome copies of Lactobacillus group from the cecum of male rats fed with 70% non-GMR was higher than those fed with 70% GMR and the relative abundance of Lactobacillus group also higher for group D. This result was in contrast with the E. coli subgroup, which was more numerous in proportion of group B, except D-2 and B-2 for male rats. The Clostridium perfringens subgroup was numerically more abundant in group D than group B of the same level, also except D-2 and B-2 for male rats. These results suggested that GMR had a complex effect on caecal microflora that may be related to the health of the host.
引用
收藏
页码:M88 / M93
页数:6
相关论文
共 50 条
  • [31] Real-Time PCR Array as a Universal Platform for the Detection of Genetically Modified Crops and Its Application in Identifying Unapproved Genetically Modified Crops in Japan
    Mano, Junichi
    Shigemitsu, Natsuki
    Futo, Satoshi
    Akiyama, Hiroshi
    Teshima, Reiko
    Hino, Akihiro
    Furui, Satoshi
    Kitta, Kazumi
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2009, 57 (01) : 26 - 37
  • [32] Quantitative Detection of Clostridium perfringens by Real-Time PCR in Raw Milk
    Hernandez, Marta
    Lopez-Enriquez, Lorena
    Rodriguez-Lazaro, David
    FOOD ANALYTICAL METHODS, 2017, 10 (05) : 1139 - 1147
  • [33] Multitarget Real-Time PCR-Based System: Monitoring for Unauthorized Genetically Modified Events in India
    Randhawa, Gurinder Jit
    Singh, Monika
    Sood, Payal
    Bhoge, Rajesh K.
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2014, 62 (29) : 7118 - 7130
  • [34] Assessment of genetically engineered events in heat-treated and non-treated samples using droplet digital PCR and real-time quantitative PCR
    Demeke, Tigst
    Beecher, Brian
    Eng, Monika
    FOOD CONTROL, 2020, 115
  • [35] Development and evaluation of a real-time quantitative PCR assay for detection and enumeration of yeasts of public health interest in dairy products
    Makino, Hiroshi
    Fujimoto, Junji
    Watanabe, Koichi
    INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY, 2010, 140 (01) : 76 - 83
  • [36] Mutation Scanning in a Single and a Stacked Genetically Modified (GM) Event by Real-Time PCR and High Resolution Melting (HRM) Analysis
    Ben Ali, Sina-Elisabeth
    Madi, Zita Erika
    Hochegger, Rupert
    Quist, David
    Prewein, Bernhard
    Haslberger, Alexander G.
    Brandes, Christian
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2014, 15 (11) : 19898 - 19923
  • [37] Detection of Saccharopolyspora rectivirgula by Quantitative Real-Time PCR
    Schaefer, Jenny
    Kaempfer, Peter
    Jaeckel, Udo
    ANNALS OF OCCUPATIONAL HYGIENE, 2011, 55 (06) : 612 - 619
  • [38] Two FAST multiplex real-time PCR reactions to assess the presence of genetically modified organisms in food
    Cottenet, Geoffrey
    Blancpain, Carine
    Sonnard, Veronique
    Chuah, Poh Fong
    FOOD CHEMISTRY, 2019, 274 : 760 - 765
  • [39] Modelling the limit of detection in real-time quantitative PCR
    Burns, M.
    Valdivia, H.
    EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2008, 226 (06) : 1513 - 1524
  • [40] Real-time PCR for quantitative meat species testing
    Sawyer, J
    Wood, C
    Shanahan, D
    Gout, S
    McDowell, D
    FOOD CONTROL, 2003, 14 (08) : 579 - 583