Literature DB >> 33762692

Evaluation of 16S rRNA primer sets for characterisation of microbiota in paediatric patients with autism spectrum disorder.

L Palkova1,2, A Tomova3, G Repiska3, K Babinska3, B Bokor4, I Mikula5, G Minarik2, D Ostatnikova3, K Soltys6,7.   

Abstract

intestinal microbiota is becoming a significant marker that reflects differences between health and disease status also in terms of gut-brain axis communication. Studies show that children with autism spectrum disorder (ASD) often have a mix of gut microbes that is distinct from the neurotypical children. Various assays are being used for microbiota investigation and were considered to be universal. However, newer studies showed that protocol for preparing DNA sequencing libraries is a key factor influencing results of microbiota investigation. The choice of DNA amplification primers seems to be the crucial for the outcome of analysis. In our study, we have tested 3 primer sets to investigate differences in outcome of sequencing analysis of microbiota in children with ASD. We found out that primers detected different portion of bacteria in samples especially at phylum level; significantly higher abundance of Bacteroides and lower Firmicutes were detected using 515f/806r compared to 27f/1492r and 27f*/1495f primers. So, the question is whether a gold standard of Firmicutes/Bacteroidetes ratio is a valuable and reliable universal marker, since two primer sets towards 16S rRNA can provide opposite information. Moreover, significantly higher relative abundance of Proteobacteria was detected using 27f/1492r. The beta diversity of sample groups differed remarkably and so the number of observed bacterial genera.

Entities:  

Year:  2021        PMID: 33762692     DOI: 10.1038/s41598-021-86378-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  42 in total

1.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

Authors:  T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

2.  Rapid determination of 16S ribosomal RNA sequences for phylogenetic analyses.

Authors:  D J Lane; B Pace; G J Olsen; D A Stahl; M L Sogin; N R Pace
Journal:  Proc Natl Acad Sci U S A       Date:  1985-10       Impact factor: 11.205

3.  Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability.

Authors:  Andreas Hiergeist; Udo Reischl; Andrè Gessner
Journal:  Int J Med Microbiol       Date:  2016-03-21       Impact factor: 3.473

Review 4.  Optimization of fecal sample processing for microbiome study - The journey from bathroom to bench.

Authors:  Wei-Kai Wu; Chieh-Chang Chen; Suraphan Panyod; Rou-An Chen; Ming-Shiang Wu; Lee-Yan Sheen; Shan-Chwen Chang
Journal:  J Formos Med Assoc       Date:  2018-03-02       Impact factor: 3.282

5.  Comparison of DNA extraction methods for human gut microbial community profiling.

Authors:  Mi Young Lim; Eun-Ji Song; Sang Ho Kim; Jangwon Lee; Young-Do Nam
Journal:  Syst Appl Microbiol       Date:  2017-12-21       Impact factor: 4.022

6.  Improved detection of bifidobacteria with optimised 16S rRNA-gene based pyrosequencing.

Authors:  Kathleen Sim; Michael J Cox; Harm Wopereis; Rocio Martin; Jan Knol; Ming-Shi Li; William O C M Cookson; Miriam F Moffatt; J Simon Kroll
Journal:  PLoS One       Date:  2012-03-28       Impact factor: 3.240

7.  Assessing the fecal microbiota: an optimized ion torrent 16S rRNA gene-based analysis protocol.

Authors:  Christian Milani; Arancha Hevia; Elena Foroni; Sabrina Duranti; Francesca Turroni; Gabriele Andrea Lugli; Borja Sanchez; Rebeca Martín; Miguel Gueimonde; Douwe van Sinderen; Abelardo Margolles; Marco Ventura
Journal:  PLoS One       Date:  2013-07-15       Impact factor: 3.240

8.  The choice of PCR primers has great impact on assessments of bacterial community diversity and dynamics in a wastewater treatment plant.

Authors:  Nils Johan Fredriksson; Malte Hermansson; Britt-Marie Wilén
Journal:  PLoS One       Date:  2013-10-01       Impact factor: 3.240

9.  Dynamic metal-thiolate cluster structure of metallothioneins.

Authors:  M Vasák
Journal:  Environ Health Perspect       Date:  1986-03       Impact factor: 9.031

10.  SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB.

Authors:  Elmar Pruesse; Christian Quast; Katrin Knittel; Bernhard M Fuchs; Wolfgang Ludwig; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2007-10-18       Impact factor: 16.971

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  5 in total

1.  Mismatches in 16S rRNA Gene Primers: An Area Worth Further Exploring.

Authors:  Wenting Ren; Yingwen Zhong; Yi Ding; Yuehong Wu; XueWei Xu; Peng Zhou
Journal:  Front Microbiol       Date:  2022-06-13       Impact factor: 6.064

2.  Identification and functional analysis of bacteria in sclerotia of Cordyceps militaris.

Authors:  Li Luo; Jiaxi Zhou; Zhongshun Xu; Jingqiang Guan; Yingming Gao; Xiao Zou
Journal:  PeerJ       Date:  2021-11-25       Impact factor: 2.984

Review 3.  Next-generation sequencing: insights to advance clinical investigations of the microbiome.

Authors:  Caroline R Wensel; Jennifer L Pluznick; Steven L Salzberg; Cynthia L Sears
Journal:  J Clin Invest       Date:  2022-04-01       Impact factor: 14.808

4.  Bacterial DNA Detection in the Blood of Healthy Subjects.

Authors:  Javad Raeisi; Mana Oloomi; MohammadReza Zolfaghari; Seyed Davar Siadat; Mohsen Zargar; Zahra Pourramezan
Journal:  Iran Biomed J       Date:  2022-05-01

5.  Investigation of Streptomyces sp. Strain EMB24 Secondary Metabolite Profile Has Unraveled Its Extraordinary Antibacterial Potency Against Drug-Resistant Bacteria.

Authors:  Nikky Goel; Rajendra Singh; Seema Sood; Sunil Kumar Khare
Journal:  Mar Biotechnol (NY)       Date:  2022-10-11       Impact factor: 3.727

  5 in total

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