Literature DB >> 24808136

Simultaneous assessment of the macrobiome and microbiome in a bulk sample of tropical arthropods through DNA metasystematics.

Joel Gibson1, Shadi Shokralla2, Teresita M Porter3, Ian King1, Steven van Konynenburg1, Daniel H Janzen4, Winnie Hallwachs5, Mehrdad Hajibabaei6.   

Abstract

Conventional assessments of ecosystem sample composition are based on morphology-based or DNA barcode identification of individuals. Both approaches are costly and time-consuming, especially when applied to the large number of specimens and taxa commonly included in ecological investigations. Next-generation sequencing approaches can overcome the bottleneck of individual specimen isolation and identification by simultaneously sequencing specimens of all taxa in a bulk mixture. Here we apply multiple parallel amplification primers, multiple DNA barcode markers, 454-pyrosequencing, and Illumina MiSeq sequencing to the same sample to maximize recovery of the arthropod macrobiome and the bacterial and other microbial microbiome of a bulk arthropod sample. We validate this method with a complex sample containing 1,066 morphologically distinguishable arthropods from a tropical terrestrial ecosystem with high taxonomic diversity. Multiamplicon next-generation DNA barcoding was able to recover sequences corresponding to 91% of the distinguishable individuals in a bulk environmental sample, as well as many species present as undistinguishable tissue. 454-pyrosequencing was able to recover 10 more families of arthropods and 30 more species than did conventional Sanger sequencing of each individual specimen. The use of other loci (16S and 18S ribosomal DNA gene regions) also added the detection of species of microbes associated with these terrestrial arthropods. This method greatly decreases the time and money necessary to perform DNA-based comparisons of biodiversity among ecosystem samples. This methodology opens the door to much cheaper and increased capacity for ecological and evolutionary studies applicable to a wide range of socio-economic issues, as well as a basic understanding of how the world works.

Keywords:  Costa Rica; Malaise trap; NGS; cytochrome c oxidase subunit I; insect

Mesh:

Substances:

Year:  2014        PMID: 24808136      PMCID: PMC4050544          DOI: 10.1073/pnas.1406468111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  46 in total

1.  Biological identifications through DNA barcodes.

Authors:  Paul D N Hebert; Alina Cywinska; Shelley L Ball; Jeremy R deWaard
Journal:  Proc Biol Sci       Date:  2003-02-07       Impact factor: 5.349

Review 2.  Next-generation sequencing technologies for environmental DNA research.

Authors:  Shadi Shokralla; Jennifer L Spall; Joel F Gibson; Mehrdad Hajibabaei
Journal:  Mol Ecol       Date:  2012-04       Impact factor: 6.185

3.  Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi.

Authors:  Conrad L Schoch; Keith A Seifert; Sabine Huhndorf; Vincent Robert; John L Spouge; C André Levesque; Wen Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-27       Impact factor: 11.205

Review 4.  A renaissance for the pioneering 16S rRNA gene.

Authors:  Susannah G Tringe; Philip Hugenholtz
Journal:  Curr Opin Microbiol       Date:  2008-10-08       Impact factor: 7.934

5.  A DNA barcode for land plants.

Authors: 
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-30       Impact factor: 11.205

6.  Bias in template-to-product ratios in multitemplate PCR.

Authors:  M F Polz; C M Cavanaugh
Journal:  Appl Environ Microbiol       Date:  1998-10       Impact factor: 4.792

7.  Integrative analysis of environmental sequences using MEGAN4.

Authors:  Daniel H Huson; Suparna Mitra; Hans-Joachim Ruscheweyh; Nico Weber; Stephan C Schuster
Journal:  Genome Res       Date:  2011-06-20       Impact factor: 9.043

8.  Phylogenetic analysis of mutualistic filamentous bacteria associated with fungus-growing ants.

Authors:  Matías J Cafaro; Cameron R Currie
Journal:  Can J Microbiol       Date:  2005-06       Impact factor: 2.419

9.  DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.

Authors:  O Folmer; M Black; W Hoeh; R Lutz; R Vrijenhoek
Journal:  Mol Mar Biol Biotechnol       Date:  1994-10

10.  Wolbachia and DNA barcoding insects: patterns, potential, and problems.

Authors:  M Alex Smith; Claudia Bertrand; Kate Crosby; Eldon S Eveleigh; Jose Fernandez-Triana; Brian L Fisher; Jason Gibbs; Mehrdad Hajibabaei; Winnie Hallwachs; Katharine Hind; Jan Hrcek; Da-Wei Huang; Milan Janda; Daniel H Janzen; Yanwei Li; Scott E Miller; Laurence Packer; Donald Quicke; Sujeevan Ratnasingham; Josephine Rodriguez; Rodolphe Rougerie; Mark R Shaw; Cory Sheffield; Julie K Stahlhut; Dirk Steinke; James Whitfield; Monty Wood; Xin Zhou
Journal:  PLoS One       Date:  2012-05-02       Impact factor: 3.240

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  68 in total

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Authors:  Matthieu Leray; Nancy Knowlton
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-02       Impact factor: 11.205

2.  A revision of Chilicola (Heteroediscelis), a subgenus of xeromelissine bees (Hymenoptera, Colletidae) endemic to Chile: taxonomy, phylogeny, and biogeography, with descriptions of eight new species.

Authors:  Spencer K Monckton
Journal:  Zookeys       Date:  2016-05-19       Impact factor: 1.546

Review 3.  Next-Generation Sequencing and Its Impacts on Entomological Research in Ecology and Evolution.

Authors:  Débora Pires Paula
Journal:  Neotrop Entomol       Date:  2021-08-10       Impact factor: 1.434

4.  Comparison of traditional and DNA metabarcoding samples for monitoring tropical soil arthropods (Formicidae, Collembola and Isoptera).

Authors:  Yves Basset; Mehrdad Hajibabaei; Michael T G Wright; Anakena M Castillo; David A Donoso; Simon T Segar; Daniel Souto-Vilarós; Dina Y Soliman; Tomas Roslin; M Alex Smith; Greg P A Lamarre; Luis F De León; Thibaud Decaëns; José G Palacios-Vargas; Gabriela Castaño-Meneses; Rudolf H Scheffrahn; Marleny Rivera; Filonila Perez; Ricardo Bobadilla; Yacksecari Lopez; José Alejandro Ramirez Silva; Maira Montejo Cruz; Angela Arango Galván; Héctor Barrios
Journal:  Sci Rep       Date:  2022-06-24       Impact factor: 4.996

Review 5.  Microorganisms in the reproductive tissues of arthropods.

Authors:  Jessamyn I Perlmutter; Seth R Bordenstein
Journal:  Nat Rev Microbiol       Date:  2020-01-06       Impact factor: 60.633

6.  Construction of a Species-Level Tree of Life for the Insects and Utility in Taxonomic Profiling.

Authors:  Douglas Chesters
Journal:  Syst Biol       Date:  2017-05-01       Impact factor: 15.683

7.  Profile hidden Markov model sequence analysis can help remove putative pseudogenes from DNA barcoding and metabarcoding datasets.

Authors:  T M Porter; M Hajibabaei
Journal:  BMC Bioinformatics       Date:  2021-05-19       Impact factor: 3.169

8.  Massively parallel multiplex DNA sequencing for specimen identification using an Illumina MiSeq platform.

Authors:  Shadi Shokralla; Teresita M Porter; Joel F Gibson; Rafal Dobosz; Daniel H Janzen; Winnie Hallwachs; G Brian Golding; Mehrdad Hajibabaei
Journal:  Sci Rep       Date:  2015-04-17       Impact factor: 4.379

9.  Using DNA Metabarcoding to Identify the Floral Composition of Honey: A New Tool for Investigating Honey Bee Foraging Preferences.

Authors:  Jennifer Hawkins; Natasha de Vere; Adelaide Griffith; Col R Ford; Joel Allainguillaume; Matthew J Hegarty; Les Baillie; Beverley Adams-Groom
Journal:  PLoS One       Date:  2015-08-26       Impact factor: 3.240

10.  Can DNA-Based Ecosystem Assessments Quantify Species Abundance? Testing Primer Bias and Biomass--Sequence Relationships with an Innovative Metabarcoding Protocol.

Authors:  Vasco Elbrecht; Florian Leese
Journal:  PLoS One       Date:  2015-07-08       Impact factor: 3.240

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