Literature DB >> 33459491

The influence of intraspecific sequence variation during DNA metabarcoding: A case study of eleven fungal species.

Eva Lena F Estensmo1, Sundy Maurice1, Luis Morgado1,2, Pedro M Martin-Sanchez1, Inger Skrede1, Håvard Kauserud1.   

Abstract

DNA metabarcoding has become a powerful approach for analysing complex communities from environmental samples, but there are still methodological challenges limiting its full potential. While conserved DNA markers, like 16S and 18S, often are not able to discriminate among closely related species, other more variable markers - like the fungal ITS region, may include considerable intraspecific variation, which can lead to oversplitting of species during DNA metabarcoding analyses. Here we assessed the effects of intraspecific sequence variation in DNA metabarcoding by analysing local populations of eleven fungal species. We investigated the allelic diversity of ITS2 haplotypes using both Sanger sequencing and high throughput sequencing (HTS) coupled with error correction with the software dada2. All the eleven species, except one, included some level of intraspecific variation in the ITS2 region. Overall, we observed a high correspondence between haplotypes generated by Sanger sequencing and HTS, with the exception of a few additional haplotypes detected using either approach. These extra haplotypes, typically occurring in low frequencies, were probably due to PCR and sequencing errors or intragenomic variation in the rDNA region. The presence of intraspecific (and possibly intragenomic) variation in ITS2 suggest that haplotypes (or ASVs) should not be used as basic units in ITS-based fungal community analyses, but an extra clustering step is needed to approach species-level resolution.
© 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.

Entities:  

Keywords:  DNA metabarcoding; ITS; community ecology; fungi; haplotypes

Year:  2021        PMID: 33459491     DOI: 10.1111/1755-0998.13329

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  6 in total

1.  New taxonomic framework for Arthrodermataceae: a comprehensive analysis based on their phylogenetic reconstruction, divergence time estimation, phylogenetic split network, and phylogeography.

Authors:  Zhi-Yuan Zhang; Yu-Lian Ren; Xin Li; Wan-Hao Chen; Jian-Dong Liang; Yan-Feng Han; Zong-Qi Liang
Journal:  Antonie Van Leeuwenhoek       Date:  2022-08-26       Impact factor: 2.158

2.  To denoise or to cluster, that is not the question: optimizing pipelines for COI metabarcoding and metaphylogeography.

Authors:  Adrià Antich; Creu Palacin; Owen S Wangensteen; Xavier Turon
Journal:  BMC Bioinformatics       Date:  2021-04-05       Impact factor: 3.169

3.  Customization of a DADA2-based pipeline for fungal internal transcribed spacer 1 (ITS1) amplicon data sets.

Authors:  Thierry Rolling; Bing Zhai; John Frame; Tobias M Hohl; Ying Taur
Journal:  JCI Insight       Date:  2022-01-11

4.  Soil microbial communities shift along an urban gradient in Berlin, Germany.

Authors:  James Whitehead; Julien Roy; Stefan Hempel; Matthias C Rillig
Journal:  Front Microbiol       Date:  2022-08-12       Impact factor: 6.064

5.  Spatial and Temporal Genetic Diversity and Population Structure of Hemileia vastatrix from Peruvian Coffee Plantations.

Authors:  Cinthia Quispe-Apaza; Roberto Mansilla-Samaniego; Rosa Espejo-Joya; Giovanni Bernacchia; Marisela Yabar-Larios; César López-Bonilla
Journal:  Plant Pathol J       Date:  2021-06-01       Impact factor: 1.795

6.  DNA metabarcoding reveals host-specific communities of arthropods residing in fungal fruit bodies.

Authors:  Lisa Fagerli Lunde; Tone Birkemoe; Håvard Kauserud; Lynne Boddy; Rannveig M Jacobsen; Luis Morgado; Anne Sverdrup-Thygeson; Sundy Maurice
Journal:  Proc Biol Sci       Date:  2022-02-02       Impact factor: 5.349

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.