Literature DB >> 26245685

Sponge-associated actinobacterial diversity: validation of the methods of actinobacterial DNA extraction and optimization of 16S rRNA gene amplification.

Qi Yang1,2, Christopher M M Franco3,4, Wei Zhang5,6,7.   

Abstract

Experiments were designed to validate the two common DNA extraction protocols (CTAB-based method and DNeasy Blood & Tissue Kit) used to effectively recover actinobacterial DNA from sponge samples in order to study the sponge-associated actinobacterial diversity. This was done by artificially spiking sponge samples with actinobacteria (spores, mycelia and a combination of the two). Our results demonstrated that both DNA extraction methods were effective in obtaining DNA from the sponge samples as well as the sponge samples spiked with different amounts of actinobacteria. However, it was noted that in the presence of the sponge, the bacterial 16S rRNA gene could not be amplified unless the combined DNA template was diluted. To test the hypothesis that the extracted sponge DNA contained inhibitors, dilutions of the DNA extracts were tested for six sponge species representing five orders. The results suggested that the inhibitors were co-extracted with the sponge DNA, and a high dilution of this DNA was required for the successful PCR amplification for most of the samples. The optimized PCR conditions, including primer selection, PCR reaction system and program optimization, further improved the PCR performance. However, no single PCR condition was found to be suitable for the diverse sponge samples using various primer sets. These results highlight for the first time that the DNA extraction methods used are effective in obtaining actinobacterial DNA and that the presence of inhibitors in the sponge DNA requires high dilution coupled with fine tuning of the PCR conditions to achieve success in the study of sponge-associated actinobacterial diversity.

Entities:  

Keywords:  Actinobacteria; DNA extraction efficiency; Inhibitor; PCR optimization; Sponge (Porifera); Validation

Mesh:

Substances:

Year:  2015        PMID: 26245685     DOI: 10.1007/s00253-015-6875-8

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


  8 in total

1.  An Efficient DNA Extraction for a Blue Xestospongia sp. Sponge and Its Associated Microorganisms Containing Cytotoxic Substances.

Authors:  Thaniwan Cheun-Arom; Taksina Chuanasa
Journal:  Mar Biotechnol (NY)       Date:  2021-10-29       Impact factor: 3.619

2.  Marine Sponge Endosymbionts: Structural and Functional Specificity of the Microbiome within Euryspongia arenaria Cells.

Authors:  Qi Yang; Jackson K B Cahn; Jörn Piel; Yue-Fan Song; Wei Zhang; Hou-Wen Lin
Journal:  Microbiol Spectr       Date:  2022-05-02

3.  Optimization of DNA extraction for advancing coral microbiota investigations.

Authors:  Laura Weber; Emelia DeForce; Amy Apprill
Journal:  Microbiome       Date:  2017-02-08       Impact factor: 14.650

4.  Natural Product Discovery Using Planes of Principal Component Analysis in R (PoPCAR).

Authors:  Shaurya Chanana; Chris S Thomas; Doug R Braun; Yanpeng Hou; Thomas P Wyche; Tim S Bugni
Journal:  Metabolites       Date:  2017-07-13

5.  Uncovering the hidden marine sponge microbiome by applying a multi-primer approach.

Authors:  Qi Yang; Christopher M M Franco; Wei Zhang
Journal:  Sci Rep       Date:  2019-04-17       Impact factor: 4.379

6.  hcapca: Automated Hierarchical Clustering and Principal Component Analysis of Large Metabolomic Datasets in R.

Authors:  Shaurya Chanana; Chris S Thomas; Fan Zhang; Scott R Rajski; Tim S Bugni
Journal:  Metabolites       Date:  2020-07-21

7.  Antimicrobial Activities of Marine Sponge-Associated Bacteria.

Authors:  Yitayal S Anteneh; Qi Yang; Melissa H Brown; Christopher M M Franco
Journal:  Microorganisms       Date:  2021-01-14

8.  Factors affecting the isolation and diversity of marine sponge-associated bacteria.

Authors:  Yitayal S Anteneh; Qi Yang; Melissa H Brown; Christopher M M Franco
Journal:  Appl Microbiol Biotechnol       Date:  2022-02-01       Impact factor: 4.813

  8 in total

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