Literature DB >> 35672470

Identification of novel molecular targets for Weissella species-specific real-time PCR based on pangenome analysis.

Eiseul Kim1, Seung-Min Yang1, Ik-Seon Kim1, Hae-Yeong Kim2.   

Abstract

Some Weissella species are used in probiotic products because of their beneficial effects in humans, whereas some species are considered as opportunistic pathogens that cause infections in humans. Therefore, an accurate and rapid identification of Weissella species is essential to control pathogenic Weissella species or isolate new functional strains with probiotic effects from their habitat. The objective of our study was to extract novel molecular targets using pangenome analysis for the identification of major Weissella species present in food. With 50 genomes representing 11 Weissella species, novel molecular targets were mined based on their 100% presence in the respective strains of the target species and absence in the strains of non-target bacteria. Primers based on molecular targets showed positive results for the corresponding species, whereas 79 non-target strains showed negative results. Standard curves revealed good linearity in the range of 103-108 colony-forming units per reaction. Our method was successfully applied to 74 Weissella strains isolated from food samples to demonstrate that the molecular targets provided a viable alternative to the 16S rRNA sequence. Furthermore, it was possible to identify and quantify Weissella communities in fermented foods. These results demonstrate that our method can be used for effective and accurate screening for the presence of Weissella species in foods. KEY POINTS: • This is first study to mine novel targets for differentiating 11 Weissella species. • The novel targets showed higher resolution than the 16S rRNA gene sequence. • The PCR method effectively detected Weissella species with opposing properties.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Fermented food; Identification; Pangenome; Real-time PCR; Unique gene; Weissella

Mesh:

Substances:

Year:  2022        PMID: 35672470     DOI: 10.1007/s00253-022-12003-z

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  28 in total

1.  Identification of Weissella species by the genus-specific amplified ribosomal DNA restriction analysis.

Authors:  Jichan Jang; Bongjoon Kim; Jongho Lee; Jeongho Kim; Gajin Jeong; Hongui Han
Journal:  FEMS Microbiol Lett       Date:  2002-06-18       Impact factor: 2.742

2.  A novel real-time PCR assay for the specific identification and quantification of Weissella viridescens in blood sausages.

Authors:  Erica M Gómez-Rojo; L Romero-Santacreu; I Jaime; J Rovira
Journal:  Int J Food Microbiol       Date:  2015-08-16       Impact factor: 5.277

3.  Preferential growth stimulation of probiotic bacteria by galactan exopolysaccharide from Weissella confusa KR780676.

Authors:  Palanisamy Bruntha Devi; Digambar Kavitake; Jabastin Jayamanohar; Prathapkumar Halady Shetty
Journal:  Food Res Int       Date:  2021-03-23       Impact factor: 6.475

4.  Multiplex PCR for rapid identification of major lactic acid bacteria genera in cider and other fermented foods.

Authors:  Fabien J Cousin; Rozenn Le Guellec; Victoria Chuat; Marion Dalmasso; Jean-Marie Laplace; Marina Cretenet
Journal:  Int J Food Microbiol       Date:  2018-11-06       Impact factor: 5.277

5.  Taxonomic study of Weissella confusa and description of Weissella cibaria sp. nov., detected in food and clinical samples.

Authors:  K Johanna Björkroth; Ulrich Schillinger; Rolf Geisen; Norbert Weiss; Bart Hoste; Wilhelm H Holzapfel; Hannu J Korkeala; Peter Vandamme
Journal:  Int J Syst Evol Microbiol       Date:  2002-01       Impact factor: 2.747

6.  Genomic and metatranscriptomic analyses of Weissella koreensis reveal its metabolic and fermentative features during kimchi fermentation.

Authors:  Sang Eun Jeong; Byung Hee Chun; Kyung Hyun Kim; Dongbin Park; Seong Woon Roh; Se Hee Lee; Che Ok Jeon
Journal:  Food Microbiol       Date:  2018-04-10       Impact factor: 5.516

7.  Development of a multiplex real-time PCR to differentiate the four major Listeria monocytogenes serotypes in isolates from meat processing plants.

Authors:  Alberto Alía; María J Andrade; Juan J Córdoba; Irene Martín; Alicia Rodríguez
Journal:  Food Microbiol       Date:  2019-11-11       Impact factor: 5.516

Review 8.  The genus Weissella: taxonomy, ecology and biotechnological potential.

Authors:  Vincenzina Fusco; Grazia M Quero; Gyu-Sung Cho; Jan Kabisch; Diana Meske; Horst Neve; Wilhelm Bockelmann; Charles M A P Franz
Journal:  Front Microbiol       Date:  2015-03-17       Impact factor: 5.640

9.  Weissella confusa: problems with identification of an opportunistic pathogen that has been found in fermented foods and proposed as a probiotic.

Authors:  Marilynn R Fairfax; Paul R Lephart; Hossein Salimnia
Journal:  Front Microbiol       Date:  2014-06-12       Impact factor: 5.640

10.  BPGA- an ultra-fast pan-genome analysis pipeline.

Authors:  Narendrakumar M Chaudhari; Vinod Kumar Gupta; Chitra Dutta
Journal:  Sci Rep       Date:  2016-04-13       Impact factor: 4.379

View more
  1 in total

1.  Identification of Leuconostoc species based on novel marker genes identified using real-time PCR via computational pangenome analysis.

Authors:  Eiseul Kim; Seung-Min Yang; Ik-Seon Kim; So-Yun Lee; Hae-Yeong Kim
Journal:  Front Microbiol       Date:  2022-09-23       Impact factor: 6.064

  1 in total

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