Literature DB >> 26583904

Targeted gene enrichment and high-throughput sequencing for environmental biomonitoring: a case study using freshwater macroinvertebrates.

Eddy J Dowle1,2, Xavier Pochon1,3, Jonathan C Banks1, Karen Shearer1, Susanna A Wood1,4.   

Abstract

Recent studies have advocated biomonitoring using DNA techniques. In this study, two high-throughput sequencing (HTS)-based methods were evaluated: amplicon metabarcoding of the cytochrome C oxidase subunit I (COI) mitochondrial gene and gene enrichment using MYbaits (targeting nine different genes including COI). The gene-enrichment method does not require PCR amplification and thus avoids biases associated with universal primers. Macroinvertebrate samples were collected from 12 New Zealand rivers. Macroinvertebrates were morphologically identified and enumerated, and their biomass determined. DNA was extracted from all macroinvertebrate samples and HTS undertaken using the illumina miseq platform. Macroinvertebrate communities were characterized from sequence data using either six genes (three of the original nine were not used) or just the COI gene in isolation. The gene-enrichment method (all genes) detected the highest number of taxa and obtained the strongest Spearman rank correlations between the number of sequence reads, abundance and biomass in 67% of the samples. Median detection rates across rare (<1% of the total abundance or biomass), moderately abundant (1-5%) and highly abundant (>5%) taxa were highest using the gene-enrichment method (all genes). Our data indicated primer biases occurred during amplicon metabarcoding with greater than 80% of sequence reads originating from one taxon in several samples. The accuracy and sensitivity of both HTS methods would be improved with more comprehensive reference sequence databases. The data from this study illustrate the challenges of using PCR amplification-based methods for biomonitoring and highlight the potential benefits of using approaches, such as gene enrichment, which circumvent the need for an initial PCR step.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  biomonitoring; gene enrichment; high-throughput sequencing; macroinvertebrates; metabarcoding

Mesh:

Substances:

Year:  2015        PMID: 26583904     DOI: 10.1111/1755-0998.12488

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


  23 in total

1.  Functional Transcripts Indicate Phylogenetically Diverse Active Ammonia-Scavenging Microbiota in Sympatric Sponges.

Authors:  Guofang Feng; Wei Sun; Fengli Zhang; Sandi Orlić; Zhiyong Li
Journal:  Mar Biotechnol (NY)       Date:  2018-02-08       Impact factor: 3.619

2.  Capturing Darwin's dream.

Authors:  Travis C Glenn; Brant C Faircloth
Journal:  Mol Ecol Resour       Date:  2016-09       Impact factor: 7.090

3.  A metabarcoding framework for facilitated survey of endolithic phototrophs with tufA.

Authors:  Thomas Sauvage; William E Schmidt; Shoichiro Suda; Suzanne Fredericq
Journal:  BMC Ecol       Date:  2016-03-10       Impact factor: 2.964

4.  Ecosystem biomonitoring with eDNA: metabarcoding across the tree of life in a tropical marine environment.

Authors:  Michael Stat; Megan J Huggett; Rachele Bernasconi; Joseph D DiBattista; Tina E Berry; Stephen J Newman; Euan S Harvey; Michael Bunce
Journal:  Sci Rep       Date:  2017-09-25       Impact factor: 4.379

5.  DNA metabarcoding for high-throughput monitoring of estuarine macrobenthic communities.

Authors:  Jorge Lobo; Shadi Shokralla; Maria Helena Costa; Mehrdad Hajibabaei; Filipe Oliveira Costa
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

6.  Are we ready to detect nematode diversity by next generation sequencing?

Authors:  Thomas Peham; Florian M Steiner; Birgit C Schlick-Steiner; Wolfgang Arthofer
Journal:  Ecol Evol       Date:  2017-04-27       Impact factor: 2.912

7.  Arthropod and oligochaete assemblages from grasslands of the southern Kenai Peninsula, Alaska.

Authors:  Matthew L Bowser; John M Morton; John Delton Hanson; Dawn R Magness; Mallory Okuly
Journal:  Biodivers Data J       Date:  2017-01-12

8.  Testing the potential of a ribosomal 16S marker for DNA metabarcoding of insects.

Authors:  Vasco Elbrecht; Pierre Taberlet; Tony Dejean; Alice Valentini; Philippe Usseglio-Polatera; Jean-Nicolas Beisel; Eric Coissac; Frederic Boyer; Florian Leese
Journal:  PeerJ       Date:  2016-04-19       Impact factor: 2.984

9.  Testing the Global Malaise Trap Program - How well does the current barcode reference library identify flying insects in Germany?

Authors:  Matthias F Geiger; Jerome Moriniere; Axel Hausmann; Gerhard Haszprunar; Wolfgang Wägele; Paul D N Hebert; Björn Rulik
Journal:  Biodivers Data J       Date:  2016-12-01

10.  Estimating and mitigating amplification bias in qualitative and quantitative arthropod metabarcoding.

Authors:  Henrik Krehenwinkel; Madeline Wolf; Jun Ying Lim; Andrew J Rominger; Warren B Simison; Rosemary G Gillespie
Journal:  Sci Rep       Date:  2017-12-15       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.