Literature DB >> 34218435

Finding needles in a haystack-Extensive diversity in the eustigmatophyceae revealed by community metabarcode analysis targeting the rbcL gene using lineage-directed primers.

Marvin W Fawley1, Karen P Fawley1, Aubrey Bruce Cahoon2.   

Abstract

Sequences from the Stramenopile class Eustigmatophyceae are rarely reported in metabarcoding studies, and when they have been reported, there are very few haplotypes. We hypothesized that the paucity of eustigmatophyte species detected in these studies may be a result of the metabarcoding techniques used, which have primarily employed universal ribosomal RNA gene regions. In this study, we examined environmental DNA samples from 22 sites in southwestern Virginia, some of which had previously been studied using ribosomal RNA analysis. We used metabarcoding techniques targeting the plastid rbcL gene with new primers designed to produce a 370 bp amplicon from all lineages of the Eustigmatophyceae in a reference collection. The amplicons were then analyzed with DADA2 to produce amplicon sequence variants (ASVs). Our results revealed 184 rbcL haplotypes that can be tentatively assigned to the Eustigmatophyceae from these sites, representing much higher diversity than has been detected by ribosomal DNA-based studies. The techniques employed can be used for future studies of population structure, ecology, distribution, and diversity of this class. With these techniques, it should be possible to make realistic estimates of the species-level diversity of the Eustigmatophyceae on local, regional, and perhaps global scales.
© 2021 Phycological Society of America.

Entities:  

Keywords:  Eustigmatophyceae; algal diversity; community structure; environmental DNA; metabarcoding; species diversity

Mesh:

Substances:

Year:  2021        PMID: 34218435      PMCID: PMC8530920          DOI: 10.1111/jpy.13196

Source DB:  PubMed          Journal:  J Phycol        ISSN: 0022-3646            Impact factor:   3.173


  39 in total

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Authors:  Leah M Feazel; John R Spear; Alicia B Berger; J Kirk Harris; Daniel N Frank; Ruth E Ley; Norman R Pace
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2.  Diversity, nomenclature, and taxonomy of protists.

Authors:  Sina M Adl; Brian S Leander; Alastair G B Simpson; John M Archibald; O Roger Anderson; David Bass; Samuel S Bowser; Guy Brugerolle; Mark A Farmer; Sergey Karpov; Martin Kolisko; Christopher E Lane; Deborah J Lodge; David G Mann; Ralf Meisterfeld; Leonel Mendoza; Øjvind Moestrup; Sharon E Mozley-Standridge; Alexey V Smirnov; Frederick Spiegel
Journal:  Syst Biol       Date:  2007-08       Impact factor: 15.683

3.  An inordinate fondness? The number, distributions, and origins of diatom species.

Authors:  David G Mann; Pieter Vanormelingen
Journal:  J Eukaryot Microbiol       Date:  2013-05-27       Impact factor: 3.346

4.  Next-generation sequencing to inventory taxonomic diversity in eukaryotic communities: a test for freshwater diatoms.

Authors:  L Kermarrec; A Franc; F Rimet; P Chaumeil; J F Humbert; A Bouchez
Journal:  Mol Ecol Resour       Date:  2013-04-17       Impact factor: 7.090

Review 5.  Diversity of diversity: conceptual and methodological differences in biodiversity estimates of eukaryotic microbes as compared to bacteria.

Authors:  Jean-David Grattepanche; Luciana F Santoferrara; George B McManus; Laura A Katz
Journal:  Trends Microbiol       Date:  2014-05-09       Impact factor: 17.079

6.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

Authors:  Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

Review 7.  Environmental DNA metabarcoding: Transforming how we survey animal and plant communities.

Authors:  Kristy Deiner; Holly M Bik; Elvira Mächler; Mathew Seymour; Anaïs Lacoursière-Roussel; Florian Altermatt; Simon Creer; Iliana Bista; David M Lodge; Natasha de Vere; Michael E Pfrender; Louis Bernatchez
Journal:  Mol Ecol       Date:  2017-10-26       Impact factor: 6.185

8.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

9.  Multi-marker metabarcoding of coral skeletons reveals a rich microbiome and diverse evolutionary origins of endolithic algae.

Authors:  Vanessa Rossetto Marcelino; Heroen Verbruggen
Journal:  Sci Rep       Date:  2016-08-22       Impact factor: 4.379

10.  DNA metabarcoding effectively quantifies diatom responses to nutrients in streams.

Authors:  Nathan J Smucker; Erik M Pilgrim; Christopher T Nietch; John A Darling; Brent R Johnson
Journal:  Ecol Appl       Date:  2020-08-18       Impact factor: 6.105

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  2 in total

1.  The Long chain Diol Index: A marine palaeotemperature proxy based on eustigmatophyte lipids that records the warmest seasons.

Authors:  Sebastiaan W Rampen; Thomas Friedl; Nataliya Rybalka; Volker Thiel
Journal:  Proc Natl Acad Sci U S A       Date:  2022-04-11       Impact factor: 12.779

2.  Alveolates (dinoflagellates, ciliates and apicomplexans) and Rhizarians are the most common microbial eukaryotes in temperate Appalachian karst caves.

Authors:  A Bruce Cahoon; Robert D VanGundy
Journal:  Environ Microbiol Rep       Date:  2022-04-06       Impact factor: 4.006

  2 in total

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