PAPER: Phospholipid fatty acid analysis as a tool

URL: https://doi.org/10.1016/j.mimet.2021.106271

Phospholipid fatty acid (PLFA) analysis as a tool to estimate absolute abundances from compositional 16S rRNA bacterial metabarcoding data

June 2021

Lewe N, Hermans S, Lear G, Kelly LT, Thomson-Laing G, Weisbrod B, Wood SA, Keyzers RA, Deslippe JR 2021. Phospholipid fatty acid (PLFA) analysis as a tool to estimate absolute abundances from compositional 16S rRNA bacterial metabarcoding data. J Microbiol Methods 188: 106271.

ABSTRACT

Microbial biodiversity monitoring through the analysis of DNA extracted from environmental samples is increasingly popular because it is perceived as being rapid, cost-effective, and flexible concerning the sample types studied. DNA can be extracted from diverse media before high-throughput sequencing of the prokaryotic 16S rRNA gene is used to characterize the taxonomic diversity and composition of the sample (known as metabarcoding). While sources of bias in metabarcoding methodologies are widely acknowledged, previous studies have focused mainly on the effects of these biases within a single substrate type, and relatively little is known of how these vary across substrates. We investigated the effect of substrate type (water, microbial mats, lake sediments, stream sediments, soil and a mock microbial community) on the relative performance of DNA metabarcoding in parallel with phospholipid fatty acid (PLFA) analysis.

KEYWORDS

eDNA; Microbial biomass; PLFA; Environmental monitoring; Biomarker; Environmental substrates

There are no views created for this resource yet.

Additional Information

Field Value
Data last updated unknown
Metadata last updated unknown
Created unknown
Format unknown
License CC-BY 4.0 (Attribution)
Created8 months ago
id607b14f4-0e6b-41d1-bb6f-beb9fe779213
package id79c78f6a-ecea-4fd8-93bc-7a71989713ca
position12
revision id6cdf1833-b120-4451-abb0-0731c6f6be76
stateactive