Literature DB >> 30091475

Metagenome complexity and template length are the main causes of bias in PCR-based bacteria community analysis.

Wentao Peng1, Xiangmin Li2, Chuang Wang1, Hui Cao1, Zhongli Cui1.   

Abstract

Multitemplate PCR is used widely for the study of microbial community diversity. Although such studies have established the abundance of different groups within many natural ecosystems, these reports are limited by uncertainties such as bias and artifacts in the PCR. Bias which is introduced by the simultaneous amplification of specific genes from complex mixtures of templates remains poorly understood. In this study, factors leading to the bias of the multitemplate PCR in bacterial communities were examined and optimized. Comparisons between PCR cycle parameters, DNA polymerases, PCR primer degeneracy, and 16S rRNA gene fragments GC content, revealed that annealing temperatures and DNA structure are predominant factors contributing to the observed bias. Pre-digestion of metagenomic DNA with the restriction enzyme Sau3A I and decreased annealing temperature reduced the bias significantly. The application of these optimized conditions to the ten-species model community in a soil sample verified the validity of these treatments.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  PCR bias; metagenome complexity; microbial community diversity; multitemplate PCR; template length

Mesh:

Substances:

Year:  2018        PMID: 30091475     DOI: 10.1002/jobm.201800265

Source DB:  PubMed          Journal:  J Basic Microbiol        ISSN: 0233-111X            Impact factor:   2.281


  3 in total

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Journal:  Microbiol Spectr       Date:  2022-05-23

2.  Be aware of the allele-specific bias and compositional effects in multi-template PCR.

Authors:  Ilia Korvigo; Anna A Igolkina; Arina A Kichko; Tatiana Aksenova; Evgeny E Andronov
Journal:  PeerJ       Date:  2022-08-30       Impact factor: 3.061

3.  Assessment of In Vitro and In Silico Protocols for Sequence-Based Characterization of the Human Vaginal Microbiome.

Authors:  Luisa W Hugerth; Marcela Pereira; Yinghua Zha; Maike Seifert; Vilde Kaldhusdal; Fredrik Boulund; Maria C Krog; Zahra Bashir; Marica Hamsten; Emma Fransson; Henriette Svarre-Nielsen; Ina Schuppe-Koistinen; Lars Engstrand
Journal:  mSphere       Date:  2020-11-18       Impact factor: 4.389

  3 in total

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