Literature DB >> 25055157

Fecal source tracking in water by next-generation sequencing technologies using host-specific Escherichia coli genetic markers.

Ryota Gomi1, Tomonari Matsuda, Yasuto Matsui, Minoru Yoneda.   

Abstract

High levels of fecal bacteria are a concern for the aquatic environment, and identifying sources of those bacteria is important for mitigating fecal pollution and preventing waterborne disease. Escherichia coli has been used as an indicator of fecal pollution, however less success has been achieved using this organism for library-independent microbial source tracking. In this study, using next-generation sequencing technology we sequenced the whole genomes of 22 E. coli isolates from known sources (9 from humans, 2 from cows, 6 from pigs, and 5 from chickens) and identified candidate host-specific genomic regions. Specificity testing on the candidate regions was performed using 30 E. coli isolates from each source. Finally, we identified 4 human-, 2 cow-, 3 pig-, and 4 chicken-specific genetic markers useful for source tracking. We also found that a combination of multiplex PCR and dual index sequencing is effective for detecting multiple genetic markers in multiple isolates at one time. This technique was applied to investigating identified genetic markers in 549 E. coli isolates obtained from the Yamato River, Japan. Results indicate that humans constitute a major source of water contamination in the river. However, further work must include isolates obtained from geographically diverse animal hosts to make this method more reliable.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25055157     DOI: 10.1021/es501944c

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

1.  Cross-Comparison of Human Wastewater-Associated Molecular Markers in Relation to Fecal Indicator Bacteria and Enteric Viruses in Recreational Beach Waters.

Authors:  B Hughes; D J Beale; P G Dennis; S Cook; W Ahmed
Journal:  Appl Environ Microbiol       Date:  2017-03-31       Impact factor: 4.792

2.  Whole-Genome Analysis of Antimicrobial-Resistant and Extraintestinal Pathogenic Escherichia coli in River Water.

Authors:  Ryota Gomi; Tomonari Matsuda; Yasufumi Matsumura; Masaki Yamamoto; Michio Tanaka; Satoshi Ichiyama; Minoru Yoneda
Journal:  Appl Environ Microbiol       Date:  2017-02-15       Impact factor: 4.792

3.  LA35 Poultry Fecal Marker Persistence Is Correlated with That of Indicators and Pathogens in Environmental Waters.

Authors:  Bina Nayak; Jennifer Weidhaas; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2015-05-01       Impact factor: 5.005

4.  Stationary and portable sequencing-based approaches for tracing wastewater contamination in urban stormwater systems.

Authors:  Yue O O Hu; Nelson Ndegwa; Johannes Alneberg; Sebastian Johansson; Jürg Brendan Logue; Mikael Huss; Max Käller; Joakim Lundeberg; Jens Fagerberg; Anders F Andersson
Journal:  Sci Rep       Date:  2018-08-09       Impact factor: 4.379

5.  Chromosomal integration of bla CTX-M genes in diverse Escherichia coli isolates recovered from river water in Japan.

Authors:  Ryota Gomi; Masaki Yamamoto; Michio Tanaka; Yasufumi Matsumura
Journal:  Curr Res Microb Sci       Date:  2022-06-06

Review 6.  High Throughput Sequencing for Detection of Foodborne Pathogens.

Authors:  Camilla Sekse; Arne Holst-Jensen; Ulrich Dobrindt; Gro S Johannessen; Weihua Li; Bjørn Spilsberg; Jianxin Shi
Journal:  Front Microbiol       Date:  2017-10-20       Impact factor: 5.640

7.  Microfluidic Array Chip for Parallel Detection of Waterborne Bacteria.

Authors:  Lena Gorgannezhad; Kamalalayam Rajan Sreejith; Jun Zhang; Gregor Kijanka; Melody Christie; Helen Stratton; Nam-Trung Nguyen
Journal:  Micromachines (Basel)       Date:  2019-12-16       Impact factor: 2.891

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.